From 622c0cdd1de488370e6aa996756fb8272a4521e1 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Tue, 4 Mar 2025 12:40:48 +0000
Subject: [PATCH] Bump lightgbm from 4.4.0 to 4.6.0

Bumps [lightgbm](https://github.com/microsoft/LightGBM) from 4.4.0 to 4.6.0.
- [Release notes](https://github.com/microsoft/LightGBM/releases)
- [Commits](https://github.com/microsoft/LightGBM/compare/v4.4.0...v4.6.0)

---
updated-dependencies:
- dependency-name: lightgbm
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
---
 poetry.lock    | 466 ++++++++++++++++++++++++++++++++++++++++---------
 pyproject.toml |   2 +-
 2 files changed, 385 insertions(+), 83 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 19dbbf13d..fd47cc6ec 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
 
 [[package]]
 name = "adagio"
@@ -6,6 +6,7 @@ version = "0.2.6"
 description = "The Dag IO Framework for Fugue projects"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "adagio-0.2.6-py3-none-any.whl", hash = "sha256:1bb8317d41bfff8b11373bc03c9859ff166c498214bb2b7ce1e21638c0babb2c"},
     {file = "adagio-0.2.6.tar.gz", hash = "sha256:0c32768f3aba0e05273b36f9420a482034f2510f059171040d7e98ba34128d7a"},
@@ -20,6 +21,8 @@ version = "2.4.6"
 description = "Happy Eyeballs for asyncio"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "aiohappyeyeballs-2.4.6-py3-none-any.whl", hash = "sha256:147ec992cf873d74f5062644332c539fcd42956dc69453fe5204195e560517e1"},
     {file = "aiohappyeyeballs-2.4.6.tar.gz", hash = "sha256:9b05052f9042985d32ecbe4b59a77ae19c006a78f1344d7fdad69d28ded3d0b0"},
@@ -31,6 +34,8 @@ version = "3.11.13"
 description = "Async http client/server framework (asyncio)"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "aiohttp-3.11.13-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a4fe27dbbeec445e6e1291e61d61eb212ee9fed6e47998b27de71d70d3e8777d"},
     {file = "aiohttp-3.11.13-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9e64ca2dbea28807f8484c13f684a2f761e69ba2640ec49dacd342763cc265ef"},
@@ -126,7 +131,7 @@ propcache = ">=0.2.0"
 yarl = ">=1.17.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 
 [[package]]
 name = "aiosignal"
@@ -134,6 +139,8 @@ version = "1.3.2"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
     {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
@@ -148,6 +155,7 @@ version = "1.14.1"
 description = "A database migration tool for SQLAlchemy."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "alembic-1.14.1-py3-none-any.whl", hash = "sha256:1acdd7a3a478e208b0503cd73614d5e4c6efafa4e73518bb60e4f2846a37b1c5"},
     {file = "alembic-1.14.1.tar.gz", hash = "sha256:496e888245a53adf1498fcab31713a469c65836f8de76e01399aa1c3e90dd213"},
@@ -159,7 +167,7 @@ SQLAlchemy = ">=1.3.0"
 typing-extensions = ">=4"
 
 [package.extras]
-tz = ["backports.zoneinfo", "tzdata"]
+tz = ["backports.zoneinfo ; python_version < \"3.9\"", "tzdata"]
 
 [[package]]
 name = "appdirs"
@@ -167,6 +175,7 @@ version = "1.4.4"
 description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
@@ -178,6 +187,8 @@ version = "5.0.1"
 description = "Timeout context manager for asyncio programs"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.10\" and extra == \"extra-ts\""
 files = [
     {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
     {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
@@ -189,18 +200,20 @@ version = "25.1.0"
 description = "Classes Without Boilerplate"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"extra-ts\" or extra == \"quantum\""
 files = [
     {file = "attrs-25.1.0-py3-none-any.whl", hash = "sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a"},
     {file = "attrs-25.1.0.tar.gz", hash = "sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e"},
 ]
 
 [package.extras]
-benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
 docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
-tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
+tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
 
 [[package]]
 name = "audioread"
@@ -208,6 +221,8 @@ version = "3.0.1"
 description = "Multi-library, cross-platform audio decoding."
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"audio\""
 files = [
     {file = "audioread-3.0.1-py3-none-any.whl", hash = "sha256:4cdce70b8adc0da0a3c9e0d85fb10b3ace30fbdf8d1670fd443929b61d117c33"},
     {file = "audioread-3.0.1.tar.gz", hash = "sha256:ac5460a5498c48bdf2e8e767402583a4dcd13f4414d286f42ce4379e8b35066d"},
@@ -222,6 +237,8 @@ version = "2.3.2"
 description = "A tool that automatically formats Python code to conform to the PEP 8 style guide"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"dev\""
 files = [
     {file = "autopep8-2.3.2-py2.py3-none-any.whl", hash = "sha256:ce8ad498672c845a0c3de2629c15b635ec2b05ef8177a6e7c91c74f3e9b51128"},
     {file = "autopep8-2.3.2.tar.gz", hash = "sha256:89440a4f969197b69a995e4ce0661b031f455a9f776d2c5ba3dbd83466931758"},
@@ -237,6 +254,8 @@ version = "4.13.3"
 description = "Screen-scraping library"
 optional = true
 python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "beautifulsoup4-4.13.3-py3-none-any.whl", hash = "sha256:99045d7d3f08f91f0d656bc9b7efbae189426cd913d830294a15eefa0ea4df16"},
     {file = "beautifulsoup4-4.13.3.tar.gz", hash = "sha256:1bd32405dacc920b42b83ba01644747ed77456a65760e285fbc47633ceddaf8b"},
@@ -259,6 +278,7 @@ version = "24.3.0"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "black-24.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7d5e026f8da0322b5662fa7a8e752b3fa2dac1c1cbc213c3d7ff9bdd0ab12395"},
     {file = "black-24.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9f50ea1132e2189d8dff0115ab75b65590a3e97de1e143795adb4ce317934995"},
@@ -295,7 +315,7 @@ typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
+d = ["aiohttp (>=3.7.4) ; sys_platform != \"win32\" or implementation_name != \"pypy\"", "aiohttp (>=3.7.4,!=3.9.0) ; sys_platform == \"win32\" and implementation_name == \"pypy\""]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
@@ -305,6 +325,7 @@ version = "2025.1.31"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "certifi-2025.1.31-py3-none-any.whl", hash = "sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe"},
     {file = "certifi-2025.1.31.tar.gz", hash = "sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651"},
@@ -316,6 +337,8 @@ version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"quantum\" and platform_python_implementation != \"PyPy\" or extra == \"audio\""
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
     {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
@@ -395,6 +418,7 @@ version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de"},
     {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176"},
@@ -496,6 +520,7 @@ version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"},
     {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"},
@@ -510,6 +535,8 @@ version = "3.1.1"
 description = "Pickler class to extend the standard pickle.Pickler functionality"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"xai\""
 files = [
     {file = "cloudpickle-3.1.1-py3-none-any.whl", hash = "sha256:c8c5a44295039331ee9dad40ba100a9c7297b6f988e50e87ccdf3765a668350e"},
     {file = "cloudpickle-3.1.1.tar.gz", hash = "sha256:b216fa8ae4019d5482a8ac3c95d8f6346115d8835911fd4aefd1a445e4242c64"},
@@ -521,6 +548,8 @@ version = "1.2.5"
 description = "Python interface to CmdStan"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "cmdstanpy-1.2.5-py3-none-any.whl", hash = "sha256:90ae8781d80efbc62962b91974deb6033ee2f0696324eacde7188d837c36c47c"},
     {file = "cmdstanpy-1.2.5.tar.gz", hash = "sha256:53314e934ac63d894affb36263ac062b1e0e483c368a7b691087726803917b3b"},
@@ -543,6 +572,8 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main"]
+markers = "platform_system == \"Windows\" or sys_platform == \"win32\""
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -554,6 +585,7 @@ version = "6.5.0"
 description = "Add colours to the output of Python's logging module."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "colorlog-6.5.0-py2.py3-none-any.whl", hash = "sha256:d334b1b8dae5989b786232f05586a7a0111feb24ff9cfc8310c3347a91388717"},
     {file = "colorlog-6.5.0.tar.gz", hash = "sha256:cf62a8e389d5660d0d22be17937b25b9abef9497ddc940197d1773aa1f604339"},
@@ -571,6 +603,8 @@ version = "0.1.3"
 description = "A Python Toolbox for Machine Learning Model Combination"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"xai\""
 files = [
     {file = "combo-0.1.3.tar.gz", hash = "sha256:6536d6d2f0a7a3a136c2127ba82c4bd640fc245c282c2d0060ad49070e57f42a"},
 ]
@@ -590,6 +624,7 @@ version = "1.3.0"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "contourpy-1.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:880ea32e5c774634f9fcd46504bf9f080a41ad855f4fef54f5380f5133d343c7"},
     {file = "contourpy-1.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:76c905ef940a4474a6289c71d53122a4f77766eef23c03cd57016ce19d0f7b42"},
@@ -674,6 +709,8 @@ version = "2.4.0"
 description = "Converts between Gregorian dates and other calendar systems"
 optional = true
 python-versions = "<4,>=3.7"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "convertdate-2.4.0-py3-none-any.whl", hash = "sha256:fcffe3a67522172648cf03b0c3757cfd079726fe5ae04ce29989ad3958039e4e"},
     {file = "convertdate-2.4.0.tar.gz", hash = "sha256:770c6b2195544d3e451e230b3f1c9b121ed02680b877f896306a04cf6f26b48f"},
@@ -693,6 +730,8 @@ version = "43.0.3"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "cryptography-43.0.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:bf7a1932ac4176486eab36a19ed4c0492da5d97123f1406cf15e41b05e787d2e"},
     {file = "cryptography-43.0.3-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63efa177ff54aec6e1c0aefaa1a241232dcd37413835a9b674b6e3f0ae2bfd3e"},
@@ -742,6 +781,7 @@ version = "0.12.1"
 description = "Composable style cycles"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
     {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
@@ -757,6 +797,8 @@ version = "3.0.12"
 description = "The Cython compiler for writing C extensions in the Python language."
 optional = true
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "Cython-3.0.12-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba67eee9413b66dd9fbacd33f0bc2e028a2a120991d77b5fd4b19d0b1e4039b9"},
     {file = "Cython-3.0.12-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bee2717e5b5f7d966d0c6e27d2efe3698c357aa4d61bb3201997c7a4f9fe485a"},
@@ -830,6 +872,7 @@ version = "0.6.7"
 description = "Easily serialize dataclasses to and from JSON."
 optional = false
 python-versions = "<4.0,>=3.7"
+groups = ["main"]
 files = [
     {file = "dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a"},
     {file = "dataclasses_json-0.6.7.tar.gz", hash = "sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0"},
@@ -845,6 +888,7 @@ version = "24.5.1.2"
 description = "Automated dataframe analysis for Machine Learning pipelines."
 optional = false
 python-versions = "<3.12,>=3.8"
+groups = ["main"]
 files = [
     {file = "dataprep_ml-24.5.1.2-py3-none-any.whl", hash = "sha256:0d58b61a8d70fb0acc2ac26763121604214475f719ec29c480d4407e757a2b47"},
     {file = "dataprep_ml-24.5.1.2.tar.gz", hash = "sha256:a5984794d71024b070c3bbabd99e986f621d6d1b01b63cd00337dae14cc62ade"},
@@ -867,6 +911,8 @@ version = "5.2.1"
 description = "Decorators for Humans"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"audio\""
 files = [
     {file = "decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a"},
     {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"},
@@ -878,6 +924,7 @@ version = "0.3.6"
 description = "serialize all of python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "dill-0.3.6-py3-none-any.whl", hash = "sha256:a07ffd2351b8c678dfc4a856a3005f8067aea51d6ba6c700796a4d9e280f39f0"},
     {file = "dill-0.3.6.tar.gz", hash = "sha256:e5db55f3687856d8fbdab002ed78544e1c4559a130302693d839dfe8f93f2373"},
@@ -892,6 +939,8 @@ version = "1.0.4"
 description = "Implementation of Donald Knuth's Dancing Links algorithm."
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "dlx-1.0.4.tar.gz", hash = "sha256:ef75bc9d590216ebde7d4811f9ae6b2d6c6dc2a54772d94ae13384dc517a5aae"},
 ]
@@ -902,6 +951,8 @@ version = "2.29.241"
 description = "The IBM Decision Optimization CPLEX Modeling for Python"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "docplex-2.29.241.tar.gz", hash = "sha256:ad5250396be0cea02b732710795bb9e345d9923bbb0bf66520f66eb8f1e988ad"},
 ]
@@ -915,6 +966,7 @@ version = "0.8.1"
 description = "A new flavour of deep learning operations"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "einops-0.8.1-py3-none-any.whl", hash = "sha256:919387eb55330f5757c6bea9165c5ff5cfe63a642682ea788a6d472576d81737"},
     {file = "einops-0.8.1.tar.gz", hash = "sha256:de5d960a7a761225532e0f1959e5315ebeafc0cd43394732f103ca44b9837e84"},
@@ -926,6 +978,8 @@ version = "4.2"
 description = "Compute positions of the planets and stars"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "ephem-4.2-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:4f42e6c7330b852b3cb94dedea805345d259b1bc4f3a715640a0c651c221ef47"},
     {file = "ephem-4.2-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:b535eb78c84779531868a96cc45db1b9d98fd0258bc1994dc4ae63902841d466"},
@@ -1035,6 +1089,8 @@ version = "0.3.4"
 description = "Dynamic Time Warping (DTW) algorithm with an O(N) time and memory complexity."
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "fastdtw-0.3.4-cp37-cp37m-macosx_10_14_x86_64.whl", hash = "sha256:28918c163dce9e736e09252a02073fce712bc4c7aa18f2a45d882cca84da2dbb"},
     {file = "fastdtw-0.3.4.tar.gz", hash = "sha256:2350fa6ec36bcad186eaf81f46eff35181baf04e324f522de8aeb43d0243f64f"},
@@ -1049,6 +1105,8 @@ version = "2.21.1"
 description = "Fastest Python implementation of JSON schema"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "fastjsonschema-2.21.1-py3-none-any.whl", hash = "sha256:c9e5b7e908310918cf494a434eeb31384dd84a98b57a30bcb1f535015b554667"},
     {file = "fastjsonschema-2.21.1.tar.gz", hash = "sha256:794d4f0a58f848961ba16af7b9c85a3e88cd360df008c59aac6fc5ae9323b5d4"},
@@ -1063,6 +1121,7 @@ version = "3.17.0"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "filelock-3.17.0-py3-none-any.whl", hash = "sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338"},
     {file = "filelock-3.17.0.tar.gz", hash = "sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e"},
@@ -1071,7 +1130,7 @@ files = [
 [package.extras]
 docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
-typing = ["typing-extensions (>=4.12.2)"]
+typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
 
 [[package]]
 name = "flake8"
@@ -1079,6 +1138,8 @@ version = "7.1.2"
 description = "the modular source code checker: pep8 pyflakes and co"
 optional = true
 python-versions = ">=3.8.1"
+groups = ["main"]
+markers = "extra == \"dev\""
 files = [
     {file = "flake8-7.1.2-py2.py3-none-any.whl", hash = "sha256:1cbc62e65536f65e6d754dfe6f1bada7f5cf392d6f5db3c2b85892466c3e7c1a"},
     {file = "flake8-7.1.2.tar.gz", hash = "sha256:c586ffd0b41540951ae41af572e6790dbd49fc12b3aa2541685d253d9bd504bd"},
@@ -1095,6 +1156,7 @@ version = "4.56.0"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "fonttools-4.56.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:331954d002dbf5e704c7f3756028e21db07097c19722569983ba4d74df014000"},
     {file = "fonttools-4.56.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8d1613abd5af2f93c05867b3a3759a56e8bf97eb79b1da76b2bc10892f96ff16"},
@@ -1149,18 +1211,18 @@ files = [
 ]
 
 [package.extras]
-all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"]
+all = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; platform_python_implementation != \"PyPy\"", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0) ; python_version <= \"3.12\"", "xattr ; sys_platform == \"darwin\"", "zopfli (>=0.1.4)"]
 graphite = ["lz4 (>=1.7.4.2)"]
-interpolatable = ["munkres", "pycairo", "scipy"]
+interpolatable = ["munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; platform_python_implementation != \"PyPy\""]
 lxml = ["lxml (>=4.0)"]
 pathops = ["skia-pathops (>=0.5.0)"]
 plot = ["matplotlib"]
 repacker = ["uharfbuzz (>=0.23.0)"]
 symfont = ["sympy"]
-type1 = ["xattr"]
+type1 = ["xattr ; sys_platform == \"darwin\""]
 ufo = ["fs (>=2.2.0,<3)"]
-unicode = ["unicodedata2 (>=15.1.0)"]
-woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
+unicode = ["unicodedata2 (>=15.1.0) ; python_version <= \"3.12\""]
+woff = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "zopfli (>=0.1.4)"]
 
 [[package]]
 name = "frozendict"
@@ -1168,6 +1230,8 @@ version = "2.4.6"
 description = "A simple immutable dictionary"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "frozendict-2.4.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c3a05c0a50cab96b4bb0ea25aa752efbfceed5ccb24c007612bc63e51299336f"},
     {file = "frozendict-2.4.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f5b94d5b07c00986f9e37a38dd83c13f5fe3bf3f1ccc8e88edea8fe15d6cd88c"},
@@ -1216,6 +1280,8 @@ version = "1.5.0"
 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5b6a66c18b5b9dd261ca98dffcb826a525334b2f29e7caa54e182255c5f6a65a"},
     {file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d1b3eb7b05ea246510b43a7e53ed1653e55c2121019a97e60cad7efb881a97bb"},
@@ -1317,6 +1383,7 @@ version = "2.4.16"
 description = "Python's filesystem abstraction layer"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "fs-2.4.16-py2.py3-none-any.whl", hash = "sha256:660064febbccda264ae0b6bace80a8d1be9e089e0a5eb2427b7d517f9a91545c"},
     {file = "fs-2.4.16.tar.gz", hash = "sha256:ae97c7d51213f4b70b6a958292530289090de3a7e15841e108fbe144f069d313"},
@@ -1328,7 +1395,7 @@ setuptools = "*"
 six = ">=1.10,<2.0"
 
 [package.extras]
-scandir = ["scandir (>=1.5,<2.0)"]
+scandir = ["scandir (>=1.5,<2.0) ; python_version < \"3.5\""]
 
 [[package]]
 name = "fsspec"
@@ -1336,6 +1403,7 @@ version = "2025.2.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "fsspec-2025.2.0-py3-none-any.whl", hash = "sha256:9de2ad9ce1f85e1931858535bc882543171d197001a0a5eb2ddc04f1781ab95b"},
     {file = "fsspec-2025.2.0.tar.gz", hash = "sha256:1c24b16eaa0a1798afa0337aa0db9b256718ab2a89c425371f5628d22c3b6afd"},
@@ -1378,6 +1446,7 @@ version = "0.9.1"
 description = "An abstraction layer for distributed computation"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "fugue-0.9.1-py3-none-any.whl", hash = "sha256:5b91e55e6f243af6e2b901dc37914d954d8f0231627b68007850879f8848a3a3"},
     {file = "fugue-0.9.1.tar.gz", hash = "sha256:fb0f9a4780147ac8438be96efc50593e2d771d1cbf528ac56d3bcecd39915b50"},
@@ -1390,7 +1459,7 @@ triad = ">=0.9.7"
 [package.extras]
 all = ["dask-sql", "dask[dataframe,distributed] (>=2023.5.0)", "duckdb (>=0.5.0)", "fugue-sql-antlr (>=0.2.0)", "ibis-framework", "ipython (>=7.10.0)", "jinja2", "jupyterlab", "notebook", "pandas (>=2.0.2,<2.2)", "polars", "pyarrow (>=6.0.1)", "pyspark (>=3.1.1)", "qpd (>=0.4.4)", "ray[data] (>=2.5.0)", "sqlglot"]
 cpp-sql-parser = ["fugue-sql-antlr[cpp] (>=0.2.0)"]
-dask = ["dask[dataframe,distributed] (>=2023.5.0)", "dask[dataframe,distributed] (>=2024.4.0)", "pandas (>=2.0.2)", "pyarrow (>=7.0.0)"]
+dask = ["dask[dataframe,distributed] (>=2023.5.0)", "dask[dataframe,distributed] (>=2024.4.0) ; python_version >= \"3.11.9\"", "pandas (>=2.0.2)", "pyarrow (>=7.0.0)"]
 duckdb = ["duckdb (>=0.5.0)", "fugue-sql-antlr (>=0.2.0)", "jinja2", "numpy", "qpd (>=0.4.4)", "sqlglot"]
 ibis = ["fugue-sql-antlr (>=0.2.0)", "ibis-framework", "jinja2", "pandas (<2.2)", "qpd (>=0.4.4)", "sqlglot"]
 notebook = ["ipython (>=7.10.0)", "jupyterlab", "notebook"]
@@ -1405,6 +1474,8 @@ version = "0.13.9"
 description = "Probabilistic time series modeling in Python."
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "gluonts-0.13.9-py3-none-any.whl", hash = "sha256:0ebea873c2f415a2d8b39cb6be15c93d5f53b379af0d1520f8455d5753eec0c5"},
     {file = "gluonts-0.13.9.tar.gz", hash = "sha256:b7a1fb733436e71b8cdefbcec56413120a1ffab479400164d71220c4ca86da25"},
@@ -1420,14 +1491,14 @@ typing-extensions = ">=4.0,<5.0"
 
 [package.extras]
 arrow = ["pyarrow"]
-dev = ["black", "click", "docutils (<=0.16)", "flaky (>=3.6,<4.0)", "flask (>=2.0,<3.0)", "fsspec (>=0.8,<0.9)", "furo (==2022.6.4.1)", "gunicorn (>=19.9,<20.0)", "holidays (>=0.9,<1.0)", "ipykernel (>=6.5,<7.0)", "ipython", "m2r2", "matplotlib", "myst-parser", "nbconvert (>=6.5.1,<6.6.0)", "nbsphinx (>=0.8.8,<0.9.0)", "notedown", "optuna (>=2.10,<3.0)", "orjson", "pandas (>=1.1)", "pyarrow", "pytest (>=6.0)", "pytest-cov (==2.6.*)", "pytest-runner (>=2.11,<3.0)", "pytest-timeout (>=1.3,<2.0)", "pytest-xdist (>=1.27,<2.0)", "recommonmark", "requests", "s3fs (>=0.5,<1.0)", "s3fs (>=0.6,<1.0)", "sagemaker (>=2.0,<3.0)", "sphinx (>=4.0,<5.0)", "ujson"]
+dev = ["black", "click", "docutils (<=0.16)", "flaky (>=3.6,<4.0)", "flask (>=2.0,<3.0)", "fsspec (>=0.8,<0.9) ; python_version < \"3.7.0\"", "furo (==2022.6.4.1)", "gunicorn (>=19.9,<20.0)", "holidays (>=0.9,<1.0)", "ipykernel (>=6.5,<7.0)", "ipython", "m2r2", "matplotlib", "myst-parser", "nbconvert (>=6.5.1,<6.6.0)", "nbsphinx (>=0.8.8,<0.9.0)", "notedown", "optuna (>=2.10,<3.0)", "orjson", "pandas (>=1.1)", "pyarrow", "pytest (>=6.0)", "pytest-cov (==2.6.*)", "pytest-runner (>=2.11,<3.0)", "pytest-timeout (>=1.3,<2.0)", "pytest-xdist (>=1.27,<2.0)", "recommonmark", "requests", "s3fs (>=0.5,<1.0) ; python_version < \"3.7.0\"", "s3fs (>=0.6,<1.0) ; python_version >= \"3.7.0\"", "sagemaker (>=2.0,<3.0)", "sphinx (>=4.0,<5.0)", "ujson"]
 docs = ["black", "click", "docutils (<=0.16)", "furo (==2022.6.4.1)", "holidays (>=0.9,<1.0)", "ipykernel (>=6.5,<7.0)", "ipython", "m2r2", "matplotlib", "myst-parser", "nbconvert (>=6.5.1,<6.6.0)", "nbsphinx (>=0.8.8,<0.9.0)", "notedown", "optuna (>=2.10,<3.0)", "orjson", "pytest-runner (>=2.11,<3.0)", "recommonmark", "sphinx (>=4.0,<5.0)"]
 mxnet = ["mxnet (>=1.7,<2.0)", "numpy (<1.24)"]
 pro = ["orjson", "pyarrow"]
 prophet = ["prophet (>=1.0,<2.0)"]
 r = ["rpy2 (>=3.5,<4.0)"]
 shell = ["flask (>=2.0,<3.0)", "gunicorn (>=19.9,<20.0)"]
-torch = ["protobuf (>=3.19.0,<3.20.0)", "pytorch-lightning (>=1.5,<3)", "scipy (>=1.10,<2.0)", "scipy (>=1.7.3,<1.8.0)", "torch (>=1.9,<3)"]
+torch = ["protobuf (>=3.19.0,<3.20.0)", "pytorch-lightning (>=1.5,<3)", "scipy (>=1.10,<2.0) ; python_version > \"3.7.0\"", "scipy (>=1.7.3,<1.8.0) ; python_version <= \"3.7.0\"", "torch (>=1.9,<3)"]
 
 [[package]]
 name = "graphviz"
@@ -1435,6 +1506,8 @@ version = "0.8.4"
 description = "Simple Python interface for Graphviz"
 optional = true
 python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "graphviz-0.8.4-py2.py3-none-any.whl", hash = "sha256:7caa53f0b0be42c5f2eaa3f3d71dcc863b15bacceb5d531c2ad7519e1980ff82"},
     {file = "graphviz-0.8.4.zip", hash = "sha256:4958a19cbd8461757a08db308a4a15c3d586660417e1e364f0107d2fe481689f"},
@@ -1451,6 +1524,8 @@ version = "3.1.1"
 description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""
 files = [
     {file = "greenlet-3.1.1-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:0bbae94a29c9e5c7e4a2b7f0aae5c17e8e90acbfd3bf6270eeba60c39fce3563"},
     {file = "greenlet-3.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fde093fb93f35ca72a556cf72c92ea3ebfda3d79fc35bb19fbe685853869a83"},
@@ -1537,6 +1612,8 @@ version = "3.2.1"
 description = "Read and write HDF5 files from Python"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "h5py-3.2.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:6766104ed13ff40b3b7bfd49f13fced5274103ee9af53667e7a97c5236b14741"},
     {file = "h5py-3.2.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:4160cb0d35a83c6fb9f1cad65e826dfaeb044e001549ea78003573fb6bee4042"},
@@ -1559,6 +1636,8 @@ version = "0.67"
 description = "Open World Holidays Framework"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "holidays-0.67-py3-none-any.whl", hash = "sha256:174b64b9c23ef97600b32f4c44d4cf685223d75188dd746bce185fcbcdfd0522"},
     {file = "holidays-0.67.tar.gz", hash = "sha256:d9a21be2c01e68f28bae1544a36736566830b065f467b59bca32caefb4c4487f"},
@@ -1573,6 +1652,7 @@ version = "0.29.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
 files = [
     {file = "huggingface_hub-0.29.1-py3-none-any.whl", hash = "sha256:352f69caf16566c7b6de84b54a822f6238e17ddd8ae3da4f8f2272aea5b198d5"},
     {file = "huggingface_hub-0.29.1.tar.gz", hash = "sha256:9524eae42077b8ff4fc459ceb7a514eca1c1232b775276b009709fe2a084f250"},
@@ -1607,6 +1687,7 @@ version = "0.1.15"
 description = "Hyper-Connections"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "hyper_connections-0.1.15-py3-none-any.whl", hash = "sha256:9eda4e58b4d0f4eb3e3accf2737cbc9b73193b61c7cc604ddea8afec056c6ea7"},
     {file = "hyper_connections-0.1.15.tar.gz", hash = "sha256:d36f9ea8803e82e14f233085653660ead52117ca1787186bd0fdb1970b65ce1c"},
@@ -1622,6 +1703,7 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -1636,6 +1718,8 @@ version = "6.5.2"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version < \"3.10\""
 files = [
     {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"},
     {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"},
@@ -1645,7 +1729,7 @@ files = [
 zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
@@ -1658,6 +1742,8 @@ version = "0.5.1"
 description = "A port of Ruby on Rails inflector to Python"
 optional = true
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "inflection-0.5.1-py2.py3-none-any.whl", hash = "sha256:f38b2b640938a4f35ade69ac3d053042959b62a0f1076a5bbaa1b9526605a8a2"},
     {file = "inflection-0.5.1.tar.gz", hash = "sha256:1a29730d366e996aaacffb2f1f1cb9593dc38e2ddd30c91250c6dde09ea9b417"},
@@ -1669,6 +1755,7 @@ version = "3.1.5"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb"},
     {file = "jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"},
@@ -1686,6 +1773,7 @@ version = "1.4.2"
 description = "Lightweight pipelining with Python functions"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"},
     {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
@@ -1697,6 +1785,8 @@ version = "4.23.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"extra-ts\" or extra == \"quantum\""
 files = [
     {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
     {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
@@ -1718,6 +1808,8 @@ version = "2024.10.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"extra-ts\" or extra == \"quantum\""
 files = [
     {file = "jsonschema_specifications-2024.10.1-py3-none-any.whl", hash = "sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf"},
     {file = "jsonschema_specifications-2024.10.1.tar.gz", hash = "sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272"},
@@ -1732,6 +1824,7 @@ version = "1.4.7"
 description = "A fast implementation of the Cassowary constraint solver"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "kiwisolver-1.4.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8a9c83f75223d5e48b0bc9cb1bf2776cf01563e00ade8775ffe13b0b6e1af3a6"},
     {file = "kiwisolver-1.4.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:58370b1ffbd35407444d57057b57da5d6549d2d854fa30249771775c63b5fe17"},
@@ -1855,6 +1948,8 @@ version = "0.8.1"
 description = "Python module for audio and music processing"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"audio\""
 files = [
     {file = "librosa-0.8.1-py3-none-any.whl", hash = "sha256:fd381e2d7067d4d4cf7691f2ef3620ef62a8aa6445dcf407e3328254692f742a"},
     {file = "librosa-0.8.1.tar.gz", hash = "sha256:c53d05e768ae4a3e553ae21c2e5015293e5efbfd5c12d497f1104cb519cca6b3"},
@@ -1880,17 +1975,19 @@ tests = ["contextlib2", "matplotlib (>=3.0)", "pytest", "pytest-cov", "pytest-mp
 
 [[package]]
 name = "lightgbm"
-version = "4.4.0"
-description = "LightGBM Python Package"
+version = "4.6.0"
+description = "LightGBM Python-package"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"extra\""
 files = [
-    {file = "lightgbm-4.4.0-py3-none-macosx_10_15_x86_64.macosx_11_6_x86_64.macosx_12_5_x86_64.whl", hash = "sha256:f51f17a10ef9b4669b9c95a2297213b57debbc9deadfe5c1489a7f3c9e2617c5"},
-    {file = "lightgbm-4.4.0-py3-none-macosx_14_0_arm64.whl", hash = "sha256:d96b06c85f0840da95bbbf31a095b207186bb0e584cee0fe2f2e7f24fb07c70f"},
-    {file = "lightgbm-4.4.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:a04875e4c0ffda7c67a0ab5bd8892f154a491833f4f5b39c4acf5b3add099699"},
-    {file = "lightgbm-4.4.0-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:8700b41f637717d36763a282d280b8d4722a87103030b7f0f373b96da0225022"},
-    {file = "lightgbm-4.4.0-py3-none-win_amd64.whl", hash = "sha256:460dd78586dccfc0ed756571690fcfcd3d61770ed7972746c655c3b11cce8a93"},
-    {file = "lightgbm-4.4.0.tar.gz", hash = "sha256:9e8a7640911481134e60987d5d1e1cd157f430c3b4b38de8d36fc55c302bc299"},
+    {file = "lightgbm-4.6.0-py3-none-macosx_10_15_x86_64.whl", hash = "sha256:b7a393de8a334d5c8e490df91270f0763f83f959574d504c7ccb9eee4aef70ed"},
+    {file = "lightgbm-4.6.0-py3-none-macosx_12_0_arm64.whl", hash = "sha256:2dafd98d4e02b844ceb0b61450a660681076b1ea6c7adb8c566dfd66832aafad"},
+    {file = "lightgbm-4.6.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:4d68712bbd2b57a0b14390cbf9376c1d5ed773fa2e71e099cac588703b590336"},
+    {file = "lightgbm-4.6.0-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:cb19b5afea55b5b61cbb2131095f50538bd608a00655f23ad5d25ae3e3bf1c8d"},
+    {file = "lightgbm-4.6.0-py3-none-win_amd64.whl", hash = "sha256:37089ee95664b6550a7189d887dbf098e3eadab03537e411f52c63c121e3ba4b"},
+    {file = "lightgbm-4.6.0.tar.gz", hash = "sha256:cb1c59720eb569389c0ba74d14f52351b573af489f230032a1c9f314f8bab7fe"},
 ]
 
 [package.dependencies]
@@ -1901,7 +1998,7 @@ scipy = "*"
 arrow = ["cffi (>=1.15.1)", "pyarrow (>=6.0.1)"]
 dask = ["dask[array,dataframe,distributed] (>=2.0.0)", "pandas (>=0.24.0)"]
 pandas = ["pandas (>=0.24.0)"]
-scikit-learn = ["scikit-learn (!=0.22.0)"]
+scikit-learn = ["scikit-learn (>=0.24.2)"]
 
 [[package]]
 name = "lightning-utilities"
@@ -1909,6 +2006,8 @@ version = "0.12.0"
 description = "Lightning toolbox for across the our ecosystem."
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "lightning_utilities-0.12.0-py3-none-any.whl", hash = "sha256:b827f5768607e81ccc7b2ada1f50628168d1cc9f839509c7e87c04b59079e66c"},
     {file = "lightning_utilities-0.12.0.tar.gz", hash = "sha256:95b5f22a0b69eb27ca0929c6c1d510592a70080e1733a055bf154903c0343b60"},
@@ -1930,6 +2029,7 @@ version = "0.43.0"
 description = "lightweight wrapper around basic LLVM functionality"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "llvmlite-0.43.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a289af9a1687c6cf463478f0fa8e8aa3b6fb813317b0d70bf1ed0759eab6f761"},
     {file = "llvmlite-0.43.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6d4fd101f571a31acb1559ae1af30f30b1dc4b3186669f92ad780e17c81e91bc"},
@@ -1960,6 +2060,8 @@ version = "0.0.9"
 description = "A lunar calendar converter, including a number of lunar and solar holidays, mainly from China."
 optional = true
 python-versions = ">=2.7, <4"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "LunarCalendar-0.0.9-py2.py3-none-any.whl", hash = "sha256:5ef25883d73898b37edb54da9e0f04215aaa68b897fd12e9d4b79756ff91c8cb"},
     {file = "LunarCalendar-0.0.9.tar.gz", hash = "sha256:681142f22fc353c3abca4b25699e3d1aa7083ad1c268dce36ba297eca04bed5a"},
@@ -1976,6 +2078,7 @@ version = "1.3.9"
 description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "Mako-1.3.9-py3-none-any.whl", hash = "sha256:95920acccb578427a9aa38e37a186b1e43156c87260d7ba18ca63aa4c7cbd3a1"},
     {file = "mako-1.3.9.tar.gz", hash = "sha256:b5d65ff3462870feec922dbccf38f6efb44e5714d7b593a656be86663d8600ac"},
@@ -1995,6 +2098,7 @@ version = "3.0.2"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7e94c425039cde14257288fd61dcfb01963e658efbc0ff54f5306b06054700f8"},
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9e2d922824181480953426608b81967de705c3cef4d1af983af849d7bd619158"},
@@ -2065,6 +2169,7 @@ version = "3.26.1"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "marshmallow-3.26.1-py3-none-any.whl", hash = "sha256:3350409f20a70a7e4e11a27661187b77cdcaeb20abca41c1454fe33636bea09c"},
     {file = "marshmallow-3.26.1.tar.gz", hash = "sha256:e6d8affb6cb61d39d26402096dc0aee12d5a26d490a121f118d2e81dc0719dc6"},
@@ -2084,6 +2189,7 @@ version = "3.9.4"
 description = "Python plotting package"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "matplotlib-3.9.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:c5fdd7abfb706dfa8d307af64a87f1a862879ec3cd8d0ec8637458f0885b9c50"},
     {file = "matplotlib-3.9.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d89bc4e85e40a71d1477780366c27fb7c6494d293e1617788986f74e2a03d7ff"},
@@ -2149,6 +2255,8 @@ version = "0.7.0"
 description = "McCabe checker, plugin for flake8"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"dev\""
 files = [
     {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
@@ -2160,6 +2268,7 @@ version = "0.0.15"
 description = "Model evaluation for Machine Learning pipelines."
 optional = false
 python-versions = "<3.12,>=3.8"
+groups = ["main"]
 files = [
     {file = "mindsdb_evaluator-0.0.15-py3-none-any.whl", hash = "sha256:50845f6652a42d2a91a23b30aa7f06cba28153868c5e283ad2274b5bd2437943"},
     {file = "mindsdb_evaluator-0.0.15.tar.gz", hash = "sha256:ff7c513eb2b3600752958fac431c025332a17f7349052c961b643464a6fabf75"},
@@ -2181,6 +2290,8 @@ version = "10.6.0"
 description = "More routines for operating on iterables, beyond itertools"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "more-itertools-10.6.0.tar.gz", hash = "sha256:2cd7fad1009c31cc9fb6a035108509e6547547a7a738374f10bd49a09eb3ee3b"},
     {file = "more_itertools-10.6.0-py3-none-any.whl", hash = "sha256:6eb054cb4b6db1473f6e15fcc676a08e4732548acd47c708f0e179c2c7c01e89"},
@@ -2192,6 +2303,7 @@ version = "1.3.0"
 description = "Python library for arbitrary-precision floating-point arithmetic"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
     {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
@@ -2200,7 +2312,7 @@ files = [
 [package.extras]
 develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
 docs = ["sphinx"]
-gmpy = ["gmpy2 (>=2.1.0a4)"]
+gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""]
 tests = ["pytest (>=4.6)"]
 
 [[package]]
@@ -2209,6 +2321,8 @@ version = "1.1.0"
 description = "MessagePack serializer"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "msgpack-1.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7ad442d527a7e358a469faf43fda45aaf4ac3249c8310a82f0ccff9164e5dccd"},
     {file = "msgpack-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:74bed8f63f8f14d75eec75cf3d04ad581da6b914001b474a5d3cd3372c8cc27d"},
@@ -2282,6 +2396,8 @@ version = "6.1.0"
 description = "multidict implementation"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"},
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99f826cbf970077383d7de805c0681799491cb939c25450b9b5b3ced03ca99f1"},
@@ -2386,6 +2502,8 @@ version = "0.0.11"
 description = "Non-blocking Python methods using decorators"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "multitasking-0.0.11-py3-none-any.whl", hash = "sha256:1e5b37a5f8fc1e6cfaafd1a82b6b1cc6d2ed20037d3b89c25a84f499bd7b3dd4"},
     {file = "multitasking-0.0.11.tar.gz", hash = "sha256:4d6bc3cc65f9b2dca72fb5a787850a88dae8f620c2b36ae9b55248e51bcd6026"},
@@ -2397,6 +2515,8 @@ version = "1.9.1"
 description = "Apache MXNet is an ultra-scalable deep learning framework. This version uses openblas and MKLDNN."
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "mxnet-1.9.1-py3-none-macosx_10_13_x86_64.whl", hash = "sha256:73c045f65ad05fe9ca3c4202e10471703b57231f8ac8b05d973ec2ab362178fb"},
     {file = "mxnet-1.9.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5e51a0c05d99f8f1b3b5e7c02170be57af2e6edb3ad9af2cb9551ace3e22942c"},
@@ -2414,6 +2534,7 @@ version = "1.0.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
 python-versions = ">=3.5"
+groups = ["main"]
 files = [
     {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
     {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
@@ -2425,6 +2546,7 @@ version = "3.2.1"
 description = "Python package for creating and manipulating graphs and networks"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "networkx-3.2.1-py3-none-any.whl", hash = "sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2"},
     {file = "networkx-3.2.1.tar.gz", hash = "sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6"},
@@ -2443,6 +2565,8 @@ version = "1.6.4"
 description = "Time series forecasting suite using deep learning models"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "neuralforecast-1.6.4-py3-none-any.whl", hash = "sha256:70dc077f6012e76b1048aa61e6dcc5421aaf715f9ab16c070f32b3f680390e21"},
     {file = "neuralforecast-1.6.4.tar.gz", hash = "sha256:a73908fdcb256d8334c77314c3e8b6d4489b45d6ad494114ed98c6a6ad82092c"},
@@ -2467,6 +2591,7 @@ version = "3.9.1"
 description = "Natural Language Toolkit"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "nltk-3.9.1-py3-none-any.whl", hash = "sha256:4fa26829c5b00715afe3061398a8989dc643b92ce7dd93fb4585a70930d168a1"},
     {file = "nltk-3.9.1.tar.gz", hash = "sha256:87d127bd3de4bd89a4f81265e5fa59cb1b199b27440175370f7417d2bc7ae868"},
@@ -2492,6 +2617,7 @@ version = "0.60.0"
 description = "compiling Python code using LLVM"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "numba-0.60.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d761de835cd38fb400d2c26bb103a2726f548dc30368853121d66201672e651"},
     {file = "numba-0.60.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:159e618ef213fba758837f9837fb402bbe65326e60ba0633dbe6c7f274d42c1b"},
@@ -2526,6 +2652,7 @@ version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
     {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
@@ -2571,6 +2698,8 @@ version = "12.1.3.1"
 description = "CUBLAS native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728"},
     {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-win_amd64.whl", hash = "sha256:2b964d60e8cf11b5e1073d179d85fa340c120e99b3067558f3cf98dd69d02906"},
@@ -2582,6 +2711,8 @@ version = "12.1.105"
 description = "CUDA profiling tools runtime libs."
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"},
     {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4"},
@@ -2593,6 +2724,8 @@ version = "12.1.105"
 description = "NVRTC native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"},
     {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed"},
@@ -2604,6 +2737,8 @@ version = "12.1.105"
 description = "CUDA Runtime native Libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"},
     {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344"},
@@ -2615,6 +2750,8 @@ version = "9.1.0.70"
 description = "cuDNN runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f"},
     {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-win_amd64.whl", hash = "sha256:6278562929433d68365a07a4a1546c237ba2849852c0d4b2262a486e805b977a"},
@@ -2629,6 +2766,8 @@ version = "11.0.2.54"
 description = "CUFFT native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"},
     {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"},
@@ -2640,6 +2779,8 @@ version = "10.3.2.106"
 description = "CURAND native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"},
     {file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"},
@@ -2651,6 +2792,8 @@ version = "11.4.5.107"
 description = "CUDA solver native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"},
     {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"},
@@ -2667,6 +2810,8 @@ version = "12.1.0.106"
 description = "CUSPARSE native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"},
     {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-win_amd64.whl", hash = "sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a"},
@@ -2681,6 +2826,8 @@ version = "2.20.5"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01"},
     {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56"},
@@ -2692,6 +2839,8 @@ version = "12.8.61"
 description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_nvjitlink_cu12-12.8.61-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:45fd79f2ae20bd67e8bc411055939049873bfd8fac70ff13bd4865e0b9bdab17"},
     {file = "nvidia_nvjitlink_cu12-12.8.61-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:9b80ecab31085dda3ce3b41d043be0ec739216c3fc633b8abe212d5a30026df0"},
@@ -2704,6 +2853,8 @@ version = "12.1.105"
 description = "NVIDIA Tools Extension"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
     {file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"},
@@ -2715,6 +2866,7 @@ version = "3.6.2"
 description = "A hyperparameter optimization framework"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "optuna-3.6.2-py3-none-any.whl", hash = "sha256:052dafa62964d0c700098275f449c39692aa6b97c4c15509163c5bb15ed852fa"},
     {file = "optuna-3.6.2.tar.gz", hash = "sha256:794d6ae9554f0b507760ea5c8b7e889a5e75699baba5a0001f78df3be175faf8"},
@@ -2734,7 +2886,7 @@ benchmark = ["asv (>=0.5.0)", "botorch", "cma", "virtualenv"]
 checking = ["black", "blackdoc", "flake8", "isort", "mypy", "mypy-boto3-s3", "types-PyYAML", "types-redis", "types-setuptools", "types-tqdm", "typing-extensions (>=3.10.0.0)"]
 document = ["ase", "cmaes (>=0.10.0)", "fvcore", "lightgbm", "matplotlib (!=3.6.0)", "pandas", "pillow", "plotly (>=4.9.0)", "scikit-learn", "sphinx", "sphinx-copybutton", "sphinx-gallery", "sphinx-plotly-directive", "sphinx-rtd-theme (>=1.2.0)", "torch", "torchvision"]
 optional = ["boto3", "cmaes (>=0.10.0)", "google-cloud-storage", "matplotlib (!=3.6.0)", "pandas", "plotly (>=4.9.0)", "redis", "scikit-learn (>=0.24.2)", "scipy", "torch"]
-test = ["coverage", "fakeredis[lua]", "kaleido", "moto", "pytest", "scipy (>=1.9.2)", "torch"]
+test = ["coverage", "fakeredis[lua]", "kaleido", "moto", "pytest", "scipy (>=1.9.2) ; python_version >= \"3.8\"", "torch"]
 
 [[package]]
 name = "packaging"
@@ -2742,6 +2894,7 @@ version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
     {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
@@ -2753,6 +2906,7 @@ version = "2.0.3"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "pandas-2.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e4c7c9f27a4185304c7caf96dc7d91bc60bc162221152de697c98eb0b2648dd8"},
     {file = "pandas-2.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f167beed68918d62bffb6ec64f2e1d8a7d297a038f86d4aed056b9493fca407f"},
@@ -2785,7 +2939,7 @@ files = [
 numpy = [
     {version = ">=1.20.3", markers = "python_version < \"3.10\""},
     {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
-    {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
+    {version = ">=1.21.0", markers = "python_version == \"3.10\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -2820,6 +2974,7 @@ version = "0.12.1"
 description = "Utility library for gitignore style pattern matching of file paths."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08"},
     {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
@@ -2831,6 +2986,7 @@ version = "1.0.1"
 description = "A Python package for describing statistical models and for building design matrices."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "patsy-1.0.1-py2.py3-none-any.whl", hash = "sha256:751fb38f9e97e62312e921a1954b81e1bb2bcda4f5eeabaf94db251ee791509c"},
     {file = "patsy-1.0.1.tar.gz", hash = "sha256:e786a9391eec818c054e359b737bbce692f051aee4c661f4141cc88fb459c0c4"},
@@ -2848,6 +3004,8 @@ version = "3.17.9"
 description = "a little orm"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "peewee-3.17.9.tar.gz", hash = "sha256:fe15cd001758e324c8e3ca8c8ed900e7397c2907291789e1efc383e66b9bc7a8"},
 ]
@@ -2858,6 +3016,7 @@ version = "11.1.0"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "pillow-11.1.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:e1abe69aca89514737465752b4bcaf8016de61b3be1397a8fc260ba33321b3a8"},
     {file = "pillow-11.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c640e5a06869c75994624551f45e5506e4256562ead981cce820d5ab39ae2192"},
@@ -2937,7 +3096,7 @@ docs = ["furo", "olefile", "sphinx (>=8.1)", "sphinx-copybutton", "sphinx-inline
 fpx = ["olefile"]
 mic = ["olefile"]
 tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout", "trove-classifiers (>=2024.10.12)"]
-typing = ["typing-extensions"]
+typing = ["typing-extensions ; python_version < \"3.10\""]
 xmp = ["defusedxml"]
 
 [[package]]
@@ -2946,6 +3105,7 @@ version = "4.3.6"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "platformdirs-4.3.6-py3-none-any.whl", hash = "sha256:73e575e1408ab8103900836b97580d5307456908a03e92031bab39e4554cc3fb"},
     {file = "platformdirs-4.3.6.tar.gz", hash = "sha256:357fb2acbc885b0419afd3ce3ed34564c13c9b95c89360cd9563f73aa5e2b907"},
@@ -2962,6 +3122,8 @@ version = "3.11"
 description = "Python Lex & Yacc"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "ply-3.11-py2.py3-none-any.whl", hash = "sha256:096f9b8350b65ebd2fd1346b12452efe5b9607f7482813ffca50c22722a807ce"},
     {file = "ply-3.11.tar.gz", hash = "sha256:00c7c1aaa88358b9c765b6d3000c6eec0ba42abca5351b095321aef446081da3"},
@@ -2973,6 +3135,7 @@ version = "1.24.0"
 description = "Blazingly fast DataFrame library"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "polars-1.24.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:563b99a6597fe77a3c89d478e4a6fb49c063f44ef84d4adefe490e14626e2f99"},
     {file = "polars-1.24.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:6ad64d938d60b7fda39b60892ef67bc6a9942e0c7170db593a65d019e8730b09"},
@@ -3006,7 +3169,7 @@ pyarrow = ["pyarrow (>=7.0.0)"]
 pydantic = ["pydantic"]
 sqlalchemy = ["polars[pandas]", "sqlalchemy"]
 style = ["great-tables (>=0.8.0)"]
-timezone = ["tzdata"]
+timezone = ["tzdata ; platform_system == \"Windows\""]
 xlsx2csv = ["xlsx2csv (>=0.8.0)"]
 xlsxwriter = ["xlsxwriter"]
 
@@ -3016,6 +3179,8 @@ version = "1.8.2"
 description = "A friend to fetch your data files"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"audio\""
 files = [
     {file = "pooch-1.8.2-py3-none-any.whl", hash = "sha256:3529a57096f7198778a5ceefd5ac3ef0e4d06a6ddaf9fc2d609b806f25302c47"},
     {file = "pooch-1.8.2.tar.gz", hash = "sha256:76561f0de68a01da4df6af38e9955c4c9d1a5c90da73f7e40276a5728ec83d10"},
@@ -3037,6 +3202,8 @@ version = "0.3.0"
 description = "Accelerated property cache"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "propcache-0.3.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:efa44f64c37cc30c9f05932c740a8b40ce359f51882c70883cc95feac842da4d"},
     {file = "propcache-0.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2383a17385d9800b6eb5855c2f05ee550f803878f344f58b6e194de08b96352c"},
@@ -3144,6 +3311,8 @@ version = "1.1"
 description = "Automatic Forecasting Procedure"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "prophet-1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f094e0dbf53faf3ea556dbf8e6912a53a5c2c37918af362cdcf8ba211cab4dd0"},
     {file = "prophet-1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff6c18c3ce5cb48b9365ac6d744d8ac9bdb22a522bbdfe6d5bb42d06f31e0acb"},
@@ -3181,6 +3350,8 @@ version = "5.29.3"
 description = ""
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "protobuf-5.29.3-cp310-abi3-win32.whl", hash = "sha256:3ea51771449e1035f26069c4c7fd51fba990d07bc55ba80701c78f886bf9c888"},
     {file = "protobuf-5.29.3-cp310-abi3-win_amd64.whl", hash = "sha256:a4fa6f80816a9a0678429e84973f2f98cbc218cca434abe8db2ad0bffc98503a"},
@@ -3201,6 +3372,7 @@ version = "5.9.8"
 description = "Cross-platform lib for process and system monitoring in Python."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+groups = ["main"]
 files = [
     {file = "psutil-5.9.8-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:26bd09967ae00920df88e0352a91cff1a78f8d69b3ecabbfe733610c0af486c8"},
     {file = "psutil-5.9.8-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:05806de88103b25903dff19bb6692bd2e714ccf9e668d050d144012055cbca73"},
@@ -3221,7 +3393,7 @@ files = [
 ]
 
 [package.extras]
-test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
+test = ["enum34 ; python_version <= \"3.4\"", "ipaddress ; python_version < \"3.0\"", "mock ; python_version < \"3.0\"", "pywin32 ; sys_platform == \"win32\"", "wmi ; sys_platform == \"win32\""]
 
 [[package]]
 name = "py3langid"
@@ -3229,6 +3401,7 @@ version = "0.2.2"
 description = "Fork of the language identification tool langid.py, featuring a modernized codebase and faster execution times."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "py3langid-0.2.2-py3-none-any.whl", hash = "sha256:a5460ccc565c7b6a7a0e72f42236900b810e73c065a1b769a69fa9d9cff13f00"},
     {file = "py3langid-0.2.2.tar.gz", hash = "sha256:b4de01dad7e701f29d216a0935e85e096cc8675903d23ea8445b2bb5f090b96f"},
@@ -3243,6 +3416,8 @@ version = "17.0.0"
 description = "Python library for Apache Arrow"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\""
 files = [
     {file = "pyarrow-17.0.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:a5c8b238d47e48812ee577ee20c9a2779e6a5904f1708ae240f53ecbee7c9f07"},
     {file = "pyarrow-17.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:db023dc4c6cae1015de9e198d41250688383c3f9af8f565370ab2b4cb5f62655"},
@@ -3294,6 +3469,8 @@ version = "19.0.1"
 description = "Python library for Apache Arrow"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"x86_64\""
 files = [
     {file = "pyarrow-19.0.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69"},
     {file = "pyarrow-19.0.1-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec"},
@@ -3348,6 +3525,8 @@ version = "2.12.1"
 description = "Python style guide checker"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"dev\""
 files = [
     {file = "pycodestyle-2.12.1-py2.py3-none-any.whl", hash = "sha256:46f0fb92069a7c28ab7bb558f05bfc0110dac69a0cd23c61ea0040283a9d78b3"},
     {file = "pycodestyle-2.12.1.tar.gz", hash = "sha256:6838eae08bbce4f6accd5d5572075c63626a15ee3e6f842df996bf62f6d73521"},
@@ -3359,6 +3538,8 @@ version = "2.22"
 description = "C parser in Python"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"quantum\" and platform_python_implementation != \"PyPy\" or extra == \"audio\""
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
@@ -3370,6 +3551,7 @@ version = "1.10.21"
 description = "Data validation and settings management using python type hints"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "pydantic-1.10.21-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:245e486e0fec53ec2366df9cf1cba36e0bbf066af7cd9c974bbbd9ba10e1e586"},
     {file = "pydantic-1.10.21-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6c54f8d4c151c1de784c5b93dfbb872067e3414619e10e21e695f7bb84d1d1fd"},
@@ -3436,6 +3618,7 @@ version = "0.3.0"
 description = "Infers date format from examples"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "pydateinfer-0.3.0.tar.gz", hash = "sha256:53068057bf3130073655f21f3f31b977c6aae57a19623942130787e618f6a8fa"},
 ]
@@ -3449,6 +3632,8 @@ version = "3.2.0"
 description = "passive checker of Python programs"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"dev\""
 files = [
     {file = "pyflakes-3.2.0-py2.py3-none-any.whl", hash = "sha256:84b5be138a2dfbb40689ca07e2152deb896a65c3a3e24c251c5c62489568074a"},
     {file = "pyflakes-3.2.0.tar.gz", hash = "sha256:1c61603ff154621fb2a9172037d84dca3500def8c8b630657d1701f026f8af3f"},
@@ -3460,6 +3645,8 @@ version = "0.5.12"
 description = "Python implementation of Jean Meeus astronomical routines"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "PyMeeus-0.5.12.tar.gz", hash = "sha256:548f7186bd8b96cbc069cf649a8e8e377dce49ac74486709849fe63a99cad684"},
 ]
@@ -3470,6 +3657,8 @@ version = "1.0.4"
 description = "A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"xai\""
 files = [
     {file = "pyod-1.0.4.tar.gz", hash = "sha256:b0daf70e661ac901609a745c60d8fef271fc08c2c224c59d20758a9d2389184c"},
 ]
@@ -3490,6 +3679,7 @@ version = "3.2.1"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "pyparsing-3.2.1-py3-none-any.whl", hash = "sha256:506ff4f4386c4cec0590ec19e6302d3aedb992fdc02c761e90416f158dacf8e1"},
     {file = "pyparsing-3.2.1.tar.gz", hash = "sha256:61980854fd66de3a90028d679a954d5f2623e83144b5afe5ee86f43d762e5f0a"},
@@ -3504,6 +3694,8 @@ version = "0.11.2"
 description = "Windows Negotiate Authentication Client and Server"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "pyspnego-0.11.2-py3-none-any.whl", hash = "sha256:74abc1fb51e59360eb5c5c9086e5962174f1072c7a50cf6da0bda9a4bcfdfbd4"},
     {file = "pyspnego-0.11.2.tar.gz", hash = "sha256:994388d308fb06e4498365ce78d222bf4f3570b6df4ec95738431f61510c971b"},
@@ -3514,7 +3706,7 @@ cryptography = "*"
 sspilib = {version = ">=0.1.0", markers = "sys_platform == \"win32\""}
 
 [package.extras]
-kerberos = ["gssapi (>=1.6.0)", "krb5 (>=0.3.0)"]
+kerberos = ["gssapi (>=1.6.0) ; sys_platform != \"win32\"", "krb5 (>=0.3.0) ; sys_platform != \"win32\""]
 yaml = ["ruamel.yaml"]
 
 [[package]]
@@ -3523,6 +3715,8 @@ version = "2.19.1.1"
 description = "Python interface to Stan, a package for Bayesian inference"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "pystan-2.19.1.1-cp27-cp27m-macosx_10_6_intel.whl", hash = "sha256:4a0820df5fcd13c7a4cae75d59809adee72d1135a604dc2b5f068d4ac8ca349e"},
     {file = "pystan-2.19.1.1-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:2baa4106ddc7fb90712bd0e5ab8693ce130b001c6166839247511326edc6d0ba"},
@@ -3556,6 +3750,8 @@ version = "1.4.0"
 description = "python-constraint is a module implementing support for handling CSPs (Constraint Solving Problems) over finite domain"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "python-constraint-1.4.0.tar.bz2", hash = "sha256:501d6f17afe0032dfc6ea6c0f8acc12e44f992733f00e8538961031ef27ccb8e"},
 ]
@@ -3570,6 +3766,7 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
 files = [
     {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -3584,6 +3781,8 @@ version = "2.5.0.post0"
 description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate."
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "pytorch_lightning-2.5.0.post0-py3-none-any.whl", hash = "sha256:c86bf4fded58b386f312f75337696a9b2d57077b858b3b9524400a03a0179b3a"},
     {file = "pytorch_lightning-2.5.0.post0.tar.gz", hash = "sha256:347235bf8573b4ebcf507a0dd755fcb9ce58c420c77220a9756a6edca0418532"},
@@ -3600,12 +3799,12 @@ tqdm = ">=4.57.0"
 typing-extensions = ">=4.4.0"
 
 [package.extras]
-all = ["bitsandbytes (>=0.42.0)", "bitsandbytes (>=0.44.0)", "deepspeed (>=0.8.2,<=0.9.3)", "hydra-core (>=1.2.0)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.27.7)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "omegaconf (>=2.2.3)", "requests (<2.32.0)", "rich (>=12.3.0)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)"]
-deepspeed = ["deepspeed (>=0.8.2,<=0.9.3)"]
-dev = ["bitsandbytes (>=0.42.0)", "bitsandbytes (>=0.44.0)", "cloudpickle (>=1.3)", "coverage (==7.3.1)", "deepspeed (>=0.8.2,<=0.9.3)", "fastapi", "hydra-core (>=1.2.0)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.27.7)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "numpy (>=1.17.2)", "omegaconf (>=2.2.3)", "onnx (>=1.12.0)", "onnxruntime (>=1.12.0)", "pandas (>1.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "requests (<2.32.0)", "rich (>=12.3.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)", "uvicorn"]
+all = ["bitsandbytes (>=0.42.0) ; sys_platform == \"darwin\"", "bitsandbytes (>=0.44.0) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "deepspeed (>=0.8.2,<=0.9.3) ; platform_system != \"Windows\" and platform_system != \"Darwin\"", "hydra-core (>=1.2.0)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.27.7)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "omegaconf (>=2.2.3)", "requests (<2.32.0)", "rich (>=12.3.0)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)"]
+deepspeed = ["deepspeed (>=0.8.2,<=0.9.3) ; platform_system != \"Windows\" and platform_system != \"Darwin\""]
+dev = ["bitsandbytes (>=0.42.0) ; sys_platform == \"darwin\"", "bitsandbytes (>=0.44.0) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "cloudpickle (>=1.3)", "coverage (==7.3.1)", "deepspeed (>=0.8.2,<=0.9.3) ; platform_system != \"Windows\" and platform_system != \"Darwin\"", "fastapi", "hydra-core (>=1.2.0)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.27.7)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "numpy (>=1.17.2)", "omegaconf (>=2.2.3)", "onnx (>=1.12.0)", "onnxruntime (>=1.12.0)", "pandas (>1.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "requests (<2.32.0)", "rich (>=12.3.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)", "uvicorn"]
 examples = ["ipython[all] (<8.15.0)", "lightning-utilities (>=0.8.0)", "requests (<2.32.0)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)"]
-extra = ["bitsandbytes (>=0.42.0)", "bitsandbytes (>=0.44.0)", "hydra-core (>=1.2.0)", "jsonargparse[signatures] (>=4.27.7)", "matplotlib (>3.1)", "omegaconf (>=2.2.3)", "rich (>=12.3.0)", "tensorboardX (>=2.2)"]
-strategies = ["deepspeed (>=0.8.2,<=0.9.3)"]
+extra = ["bitsandbytes (>=0.42.0) ; sys_platform == \"darwin\"", "bitsandbytes (>=0.44.0) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "hydra-core (>=1.2.0)", "jsonargparse[signatures] (>=4.27.7)", "matplotlib (>3.1)", "omegaconf (>=2.2.3)", "rich (>=12.3.0)", "tensorboardX (>=2.2)"]
+strategies = ["deepspeed (>=0.8.2,<=0.9.3) ; platform_system != \"Windows\" and platform_system != \"Darwin\""]
 test = ["cloudpickle (>=1.3)", "coverage (==7.3.1)", "fastapi", "numpy (>=1.17.2)", "onnx (>=1.12.0)", "onnxruntime (>=1.12.0)", "pandas (>1.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "uvicorn"]
 
 [[package]]
@@ -3614,6 +3813,7 @@ version = "0.1.1"
 description = "Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase"
 optional = false
 python-versions = ">=3.5"
+groups = ["main"]
 files = [
     {file = "pytorch_ranger-0.1.1-py3-none-any.whl", hash = "sha256:1e69156c9cc8439185cb8ba4725b18c91947fbe72743e25aca937da8aeb0c8ec"},
     {file = "pytorch_ranger-0.1.1.tar.gz", hash = "sha256:aa7115431cef11b57d7dd7bc86e7302a911dae467f62ec5d0b10e1ff744875db"},
@@ -3628,6 +3828,7 @@ version = "2025.1"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "pytz-2025.1-py2.py3-none-any.whl", hash = "sha256:89dd22dca55b46eac6eda23b2d72721bf1bdfef212645d81513ef5d03038de57"},
     {file = "pytz-2025.1.tar.gz", hash = "sha256:c2db42be2a2518b28e65f9207c4d05e6ff547d1efa4086469ef855e4ab70178e"},
@@ -3639,6 +3840,7 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
@@ -3701,6 +3903,8 @@ version = "0.31.0"
 description = "Software for developing quantum computing programs"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "qiskit-0.31.0.tar.gz", hash = "sha256:9f5c185332ae6aa1fe02b2ec66a9b6b2442e72cc94d078c3e6c534f4db63d455"},
 ]
@@ -3727,6 +3931,8 @@ version = "0.9.1"
 description = "Qiskit Aer - High performance simulators for Qiskit"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "qiskit-aer-0.9.1.tar.gz", hash = "sha256:3bf5f615aaae7cc5f816c39a4e9108aabaed0cc894fb6f841e48ffd56574e7eb"},
     {file = "qiskit_aer-0.9.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:047f5c9660d1a9e9ff92c61b93d32aafdee1b47ceebb6e4a5c23cac0be35aa48"},
@@ -3769,6 +3975,8 @@ version = "0.9.5"
 description = "Qiskit Aqua: An extensible library of quantum computing algorithms"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "qiskit-aqua-0.9.5.tar.gz", hash = "sha256:3ae50cfb008726e9862a17ba49d23bf987bc918239149db36f51c0f94e9cd36d"},
     {file = "qiskit_aqua-0.9.5-py3-none-any.whl", hash = "sha256:881859ecfef6c10eb23d800edbfd2ef1b977dbf89de114068d05668b5c2ea577"},
@@ -3793,9 +4001,9 @@ sympy = ">=1.3"
 yfinance = ">=0.1.62"
 
 [package.extras]
-cplex = ["cplex (<=20.1.0.1)"]
+cplex = ["cplex (<=20.1.0.1) ; python_version < \"3.9\""]
 cvx = ["cvxpy (>1.0.0,!=1.1.0,!=1.1.1,!=1.1.2,!=1.1.8,<=1.1.11)"]
-pyscf = ["pyscf (<=1.7.5.2)"]
+pyscf = ["pyscf (<=1.7.5.2) ; sys_platform != \"win32\""]
 skquant = ["scikit-quant (<=0.8.0)"]
 torch = ["torch (<=1.8.0)"]
 
@@ -3805,6 +4013,8 @@ version = "0.17.0"
 description = "Qiskit provider for accessing the quantum devices and simulators at IBMQ"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "qiskit-ibmq-provider-0.17.0.tar.gz", hash = "sha256:3ffe3e43a229191f9b9dba6c05254cd0d5687f99728ba4dee8d143c59b5f0db5"},
     {file = "qiskit_ibmq_provider-0.17.0-py3-none-any.whl", hash = "sha256:85df709f62828fc92fb8a43086ff8812f171143a1b93e43a96fbc50b0ab0f40e"},
@@ -3828,6 +4038,8 @@ version = "0.6.0"
 description = "Qiskit tools for quantum information science"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "qiskit-ignis-0.6.0.tar.gz", hash = "sha256:b41bbbc90a042f89d1a5bb01100d59d72facdfe18cb9fc336af74f0e94aae7fc"},
     {file = "qiskit_ignis-0.6.0-py3-none-any.whl", hash = "sha256:8f8a2c0bbecb0c5868730db8945862e73d86b57b10fb9f41884c32568429c0a5"},
@@ -3852,6 +4064,8 @@ version = "0.18.3"
 description = "Software for developing quantum computing programs"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "qiskit-terra-0.18.3.tar.gz", hash = "sha256:8737c8f1f4c6f29ec2fb02d73023f4854a396c33f78f4629a861a3e48fc789cc"},
     {file = "qiskit_terra-0.18.3-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:cfbfca8d538d5316e7f7068e3917822609459f37421f11bb7702b2eb5d188ca5"},
@@ -3908,6 +4122,8 @@ version = "3.7.0"
 description = "Package for quandl API access"
 optional = true
 python-versions = ">= 3.6"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "Quandl-3.7.0-py2.py3-none-any.whl", hash = "sha256:0e3e5dc60fd057c73c67380b1b0f2e3dc0e4c500fb5e6e146ac3a3c0d992cd1d"},
     {file = "Quandl-3.7.0.tar.gz", hash = "sha256:6e0b82fbc7861610b3577c5397277c4220e065eee0fed4e46cd6b6021655b64c"},
@@ -3928,6 +4144,8 @@ version = "2.43.0"
 description = "Ray provides a simple, universal API for building distributed applications."
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "ray-2.43.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:18626fff368451a37a76b33d52a70f05b20a211eb0867d860721c8e86cb6955a"},
     {file = "ray-2.43.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b7c4fdec59a14d6b2939d91fee6efc84b614a6722c3be0b27fa371e3f563255f"},
@@ -3964,29 +4182,29 @@ pandas = {version = "*", optional = true, markers = "extra == \"tune\""}
 protobuf = ">=3.15.3,<3.19.5 || >3.19.5"
 pyarrow = [
     {version = ">=9.0.0,<18", optional = true, markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and extra == \"tune\""},
-    {version = ">=9.0.0", optional = true, markers = "sys_platform != \"darwin\" and extra == \"tune\" or platform_machine != \"x86_64\" and extra == \"tune\""},
+    {version = ">=9.0.0", optional = true, markers = "(sys_platform != \"darwin\" or platform_machine != \"x86_64\") and extra == \"tune\""},
 ]
 pyyaml = "*"
 requests = "*"
 tensorboardX = {version = ">=1.9", optional = true, markers = "extra == \"tune\""}
 
 [package.extras]
-adag = ["cupy-cuda12x"]
-air = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "fsspec", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "numpy (>=1.20)", "opencensus", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "py-spy (>=0.4.0)", "pyarrow (<18)", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
-all = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "cupy-cuda12x", "dm-tree", "fastapi", "fsspec", "grpcio", "grpcio (!=1.56.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "gymnasium (==1.0.0)", "lz4", "memray", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "ormsgpack (==1.7.0)", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "py-spy (>=0.4.0)", "pyOpenSSL", "pyarrow (<18)", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "requests", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
-all-cpp = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "cupy-cuda12x", "dm-tree", "fastapi", "fsspec", "grpcio", "grpcio (!=1.56.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "gymnasium (==1.0.0)", "lz4", "memray", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "ormsgpack (==1.7.0)", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "py-spy (>=0.4.0)", "pyOpenSSL", "pyarrow (<18)", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "ray-cpp (==2.43.0)", "requests", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
-cgraph = ["cupy-cuda12x"]
-client = ["grpcio", "grpcio (!=1.56.0)"]
+adag = ["cupy-cuda12x ; sys_platform != \"darwin\""]
+air = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "fsspec", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "numpy (>=1.20)", "opencensus", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
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+all-cpp = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "cupy-cuda12x ; sys_platform != \"darwin\"", "dm-tree", "fastapi", "fsspec", "grpcio", "grpcio (!=1.56.0) ; sys_platform == \"darwin\"", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "gymnasium (==1.0.0)", "lz4", "memray ; sys_platform != \"win32\"", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "ormsgpack (==1.7.0)", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "ray-cpp (==2.43.0)", "requests", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+cgraph = ["cupy-cuda12x ; sys_platform != \"darwin\""]
+client = ["grpcio", "grpcio (!=1.56.0) ; sys_platform == \"darwin\""]
 cpp = ["ray-cpp (==2.43.0)"]
-data = ["fsspec", "numpy (>=1.20)", "pandas (>=1.3)", "pyarrow (<18)", "pyarrow (>=9.0.0)"]
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-llm = ["aiohttp (>=3.7)", "aiohttp-cors", "async-timeout", "asyncache (>=0.3.1)", "boto3", "colorful", "fastapi", "fsspec", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "jsonref (>=1.1.0)", "numpy (>=1.20)", "opencensus", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "py-spy (>=0.4.0)", "pyarrow (<18)", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "vllm (>=0.7.2)", "watchfiles"]
-observability = ["memray", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
-rllib = ["dm-tree", "fsspec", "gymnasium (==1.0.0)", "lz4", "ormsgpack (==1.7.0)", "pandas", "pyarrow (<18)", "pyarrow (>=9.0.0)", "pyyaml", "requests", "scipy", "tensorboardX (>=1.9)"]
-serve = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "py-spy (>=0.4.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
-serve-grpc = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "py-spy (>=0.4.0)", "pyOpenSSL", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
-train = ["fsspec", "pandas", "pyarrow (<18)", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "tensorboardX (>=1.9)"]
-tune = ["fsspec", "pandas", "pyarrow (<18)", "pyarrow (>=9.0.0)", "requests", "tensorboardX (>=1.9)"]
+data = ["fsspec", "numpy (>=1.20)", "pandas (>=1.3)", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)"]
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+observability = ["memray ; sys_platform != \"win32\"", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
+rllib = ["dm-tree", "fsspec", "gymnasium (==1.0.0)", "lz4", "ormsgpack (==1.7.0)", "pandas", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pyyaml", "requests", "scipy", "tensorboardX (>=1.9)"]
+serve = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+serve-grpc = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+train = ["fsspec", "pandas", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "tensorboardX (>=1.9)"]
+tune = ["fsspec", "pandas", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "requests", "tensorboardX (>=1.9)"]
 
 [[package]]
 name = "referencing"
@@ -3994,6 +4212,8 @@ version = "0.36.2"
 description = "JSON Referencing + Python"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"extra-ts\" or extra == \"quantum\""
 files = [
     {file = "referencing-0.36.2-py3-none-any.whl", hash = "sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0"},
     {file = "referencing-0.36.2.tar.gz", hash = "sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa"},
@@ -4010,6 +4230,7 @@ version = "2024.11.6"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91"},
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:658f90550f38270639e83ce492f27d2c8d2cd63805c65a13a14d36ca126753f0"},
@@ -4113,6 +4334,7 @@ version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
     {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
@@ -4134,6 +4356,8 @@ version = "1.3.0"
 description = "This package allows for HTTP NTLM authentication using the requests library."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "requests_ntlm-1.3.0-py3-none-any.whl", hash = "sha256:4c7534a7d0e482bb0928531d621be4b2c74ace437e88c5a357ceb7452d25a510"},
     {file = "requests_ntlm-1.3.0.tar.gz", hash = "sha256:b29cc2462623dffdf9b88c43e180ccb735b4007228a542220e882c58ae56c668"},
@@ -4150,6 +4374,8 @@ version = "0.4.3"
 description = "Efficient signal resampling"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"audio\""
 files = [
     {file = "resampy-0.4.3-py3-none-any.whl", hash = "sha256:ad2ed64516b140a122d96704e32bc0f92b23f45419e8b8f478e5a05f83edcebd"},
     {file = "resampy-0.4.3.tar.gz", hash = "sha256:a0d1c28398f0e55994b739650afef4e3974115edbe96cd4bb81968425e916e47"},
@@ -4170,6 +4396,8 @@ version = "0.16.0"
 description = "A python graph library implemented in Rust"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "retworkx-0.16.0-py3-none-any.whl", hash = "sha256:64fc8f7f00397f76e9add1ff1e1fff2e4560aca6d03a6f4dab9d811a36d0fca3"},
 ]
@@ -4189,6 +4417,8 @@ version = "0.23.1"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"extra-ts\" or extra == \"quantum\""
 files = [
     {file = "rpds_py-0.23.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2a54027554ce9b129fc3d633c92fa33b30de9f08bc61b32c053dc9b537266fed"},
     {file = "rpds_py-0.23.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b5ef909a37e9738d146519657a1aab4584018746a18f71c692f2f22168ece40c"},
@@ -4301,6 +4531,8 @@ version = "0.16.0"
 description = "A python graph library implemented in Rust"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "rustworkx-0.16.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:476a6c67b0142acd941691943750cc6737a48372304489969c2b62d30aaf4c27"},
     {file = "rustworkx-0.16.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:bef2ef42870f806af93979b457e240f6dfa4f867ca33965c620f3a804409ed3a"},
@@ -4329,6 +4561,7 @@ version = "0.5.3"
 description = ""
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "safetensors-0.5.3-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:bd20eb133db8ed15b40110b7c00c6df51655a2998132193de2f75f72d99c7073"},
     {file = "safetensors-0.5.3-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:21d01c14ff6c415c485616b8b0bf961c46b3b343ca59110d38d744e577f9cce7"},
@@ -4366,6 +4599,7 @@ version = "0.8.3"
 description = "Base classes for sklearn-like parametric objects"
 optional = false
 python-versions = "<3.13,>=3.8"
+groups = ["main"]
 files = [
     {file = "scikit_base-0.8.3-py3-none-any.whl", hash = "sha256:377210084c95a015f270b1e50526249a3b8163f5de2e454a47013e68aa802340"},
     {file = "scikit_base-0.8.3.tar.gz", hash = "sha256:b8e49163e4cd55b6dcc7d67c02f352b717cc31503da76c394b823a64c2f9f1c3"},
@@ -4385,6 +4619,7 @@ version = "1.5.2"
 description = "A set of python modules for machine learning and data mining"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "scikit_learn-1.5.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:299406827fb9a4f862626d0fe6c122f5f87f8910b86fe5daa4c32dcd742139b6"},
     {file = "scikit_learn-1.5.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:2d4cad1119c77930b235579ad0dc25e65c917e756fe80cab96aa3b9428bd3fb0"},
@@ -4435,6 +4670,7 @@ version = "1.13.1"
 description = "Fundamental algorithms for scientific computing in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "scipy-1.13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:20335853b85e9a49ff7572ab453794298bcf0354d8068c5f6775a0eabf350aca"},
     {file = "scipy-1.13.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d605e9c23906d1994f55ace80e0125c587f96c020037ea6aa98d01b4bd2e222f"},
@@ -4477,19 +4713,20 @@ version = "75.8.2"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "setuptools-75.8.2-py3-none-any.whl", hash = "sha256:558e47c15f1811c1fa7adbd0096669bf76c1d3f433f58324df69f3f5ecac4e8f"},
     {file = "setuptools-75.8.2.tar.gz", hash = "sha256:4880473a969e5f23f2a2be3646b2dfd84af9028716d398e46192f84bc36900d2"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.8.0)"]
-core = ["importlib_metadata (>=6)", "jaraco.collections", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.8.0) ; sys_platform != \"cygwin\""]
+core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.collections", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
-type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.14.*)", "pytest-mypy"]
+test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
+type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"]
 
 [[package]]
 name = "setuptools-git"
@@ -4497,6 +4734,8 @@ version = "1.2"
 description = "Setuptools revision control system plugin for Git"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "setuptools-git-1.2.tar.gz", hash = "sha256:ff64136da01aabba76ae88b050e7197918d8b2139ccbf6144e14d472b9c40445"},
     {file = "setuptools_git-1.2-py2.py3-none-any.whl", hash = "sha256:e7764dccce7d97b4b5a330d7b966aac6f9ac026385743fd6cedad553f2494cfa"},
@@ -4508,6 +4747,8 @@ version = "0.46.0"
 description = "A unified approach to explain the output of any machine learning model."
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"xai\""
 files = [
     {file = "shap-0.46.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:905b2d7a0262ef820785a7c0e3c7f24c9d281e6f934edb65cbe811fe0e971187"},
     {file = "shap-0.46.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:bccbb30ffbf8b9ed53e476d0c1319fdfcbeac455fe9df277fb0d570d92790e80"},
@@ -4551,7 +4792,7 @@ tqdm = ">=4.27.0"
 docs = ["ipython", "matplotlib", "myst-parser (==2.0.0)", "nbsphinx (==0.9.3)", "numpydoc", "requests", "sphinx (==7.2.6)", "sphinx-github-changelog (==1.2.1)", "sphinx-rtd-theme (==2.0.0)"]
 others = ["lime"]
 plots = ["ipython", "matplotlib"]
-test = ["catboost", "gpboost", "lightgbm", "ngboost", "opencv-python", "protobuf (==3.20.3)", "pyod", "pyspark", "pytest", "pytest-cov", "pytest-mpl", "sentencepiece", "tensorflow", "tf-keras", "torch", "torch (==2.2.0)", "torchvision", "transformers", "xgboost"]
+test = ["catboost", "gpboost", "lightgbm", "ngboost", "opencv-python", "protobuf (==3.20.3)", "pyod", "pyspark", "pytest", "pytest-cov", "pytest-mpl", "sentencepiece", "tensorflow", "tf-keras", "torch (==2.2.0) ; sys_platform == \"darwin\"", "torch ; sys_platform != \"darwin\"", "torchvision", "transformers", "xgboost"]
 test-core = ["pytest", "pytest-cov", "pytest-mpl"]
 test-notebooks = ["datasets", "jupyter", "keras", "nbconvert", "nbformat", "nlp", "transformers"]
 
@@ -4561,6 +4802,7 @@ version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
 files = [
     {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
@@ -4572,6 +4814,7 @@ version = "0.30.0"
 description = "A unified framework for machine learning with time series"
 optional = false
 python-versions = "<3.13,>=3.9"
+groups = ["main"]
 files = [
     {file = "sktime-0.30.0-py3-none-any.whl", hash = "sha256:e6499f50422374b4d43c5bb46d4591139e66c5c15da32e5b5ae955bef8ecd210"},
     {file = "sktime-0.30.0.tar.gz", hash = "sha256:66e532e847aa71345011a3230cc7bc0e0d95f8c61308e197295477347c21cd1b"},
@@ -4588,27 +4831,27 @@ scipy = ">=1.2,<2.0.0"
 
 [package.extras]
 alignment = ["dtw-python (>=1.3,<1.6)", "numba (>=0.53,<0.60)"]
-all-extras = ["arch (>=5.6,<7.1.0)", "cloudpickle", "dash (!=2.9.0)", "dask (<2024.5.3)", "dtw-python", "esig (==0.9.7)", "filterpy (>=1.4.5)", "gluonts (>=0.9)", "h5py", "hmmlearn (>=0.2.7)", "holidays", "keras-self-attention", "matplotlib (>=3.3.2)", "mne", "numba (>=0.53,<0.60)", "pmdarima (>=1.8,!=1.8.1,<3.0.0)", "prophet (>=1.1)", "pycatch22 (<0.4.6)", "pyod (>=0.8)", "pyts (<0.14.0)", "scikit-optimize", "scikit-posthocs (>=0.6.5)", "seaborn (>=0.11)", "seasonal", "skpro (>=2,<2.4.0)", "statsforecast (>=1.0.0,<1.8.0)", "statsmodels (>=0.12.1)", "stumpy (>=1.5.1)", "tbats (>=1.1)", "temporian (>=0.7.0,!=0.8.0,<0.9.0)", "tensorflow (>=2,<2.17)", "tsbootstrap (>=0.1.0,<0.2)", "tsfresh (>=0.17)", "tslearn (>=0.5.2,!=0.6.0,<0.7.0)", "xarray"]
-all-extras-pandas2 = ["arch (>=5.6,<7.1.0)", "cloudpickle", "dash (!=2.9.0)", "dask (<2024.5.3)", "dtw-python", "esig (==0.9.7)", "filterpy (>=1.4.5)", "gluonts (>=0.9)", "h5py", "hmmlearn (>=0.2.7)", "holidays", "keras-self-attention", "matplotlib (>=3.3.2)", "mne", "numba (>=0.53,<0.60)", "pmdarima (>=1.8,!=1.8.1,<3.0.0)", "prophet (>=1.1)", "pycatch22 (<0.4.6)", "pyod (>=0.8)", "scikit-posthocs (>=0.6.5)", "seaborn (>=0.11)", "seasonal", "skpro (>=2,<2.4.0)", "statsforecast (>=1.0.0,<1.8.0)", "statsmodels (>=0.12.1)", "stumpy (>=1.5.1)", "tbats (>=1.1)", "temporian (>=0.7.0,!=0.8.0,<0.9.0)", "tensorflow (>=2,<2.17)", "tsbootstrap (>=0.1.0,<0.2)", "tsfresh (>=0.17)", "tslearn (>=0.5.2,!=0.6.0,<0.7.0)", "xarray"]
-annotation = ["hmmlearn (>=0.2.7,<0.4)", "numba (>=0.53,<0.60)", "pyod (>=0.8,<1.2)"]
+all-extras = ["arch (>=5.6,<7.1.0)", "cloudpickle", "dash (!=2.9.0)", "dask (<2024.5.3)", "dtw-python", "esig (==0.9.7) ; python_version < \"3.10\"", "filterpy (>=1.4.5) ; python_version < \"3.11\"", "gluonts (>=0.9)", "h5py ; python_version < \"3.12\"", "hmmlearn (>=0.2.7) ; python_version < \"3.11\"", "holidays", "keras-self-attention ; python_version < \"3.11\"", "matplotlib (>=3.3.2)", "mne", "numba (>=0.53,<0.60)", "pmdarima (>=1.8,!=1.8.1,<3.0.0) ; python_version < \"3.12\"", "prophet (>=1.1) ; python_version < \"3.12\"", "pycatch22 (<0.4.6)", "pyod (>=0.8) ; python_version < \"3.11\"", "pyts (<0.14.0) ; python_version < \"3.12\"", "scikit-optimize", "scikit-posthocs (>=0.6.5)", "seaborn (>=0.11)", "seasonal", "skpro (>=2,<2.4.0)", "statsforecast (>=1.0.0,<1.8.0) ; python_version < \"3.12\"", "statsmodels (>=0.12.1)", "stumpy (>=1.5.1) ; python_version < \"3.11\"", "tbats (>=1.1) ; python_version < \"3.12\"", "temporian (>=0.7.0,!=0.8.0,<0.9.0) ; python_version < \"3.12\" and sys_platform != \"win32\"", "tensorflow (>=2,<2.17) ; python_version < \"3.12\"", "tsbootstrap (>=0.1.0,<0.2)", "tsfresh (>=0.17) ; python_version < \"3.12\"", "tslearn (>=0.5.2,!=0.6.0,<0.7.0) ; python_version < \"3.11\"", "xarray"]
+all-extras-pandas2 = ["arch (>=5.6,<7.1.0)", "cloudpickle", "dash (!=2.9.0)", "dask (<2024.5.3)", "dtw-python", "esig (==0.9.7) ; python_version < \"3.10\"", "filterpy (>=1.4.5) ; python_version < \"3.11\"", "gluonts (>=0.9)", "h5py ; python_version < \"3.12\"", "hmmlearn (>=0.2.7) ; python_version < \"3.11\"", "holidays", "keras-self-attention ; python_version < \"3.11\"", "matplotlib (>=3.3.2)", "mne", "numba (>=0.53,<0.60)", "pmdarima (>=1.8,!=1.8.1,<3.0.0) ; python_version < \"3.12\"", "prophet (>=1.1) ; python_version < \"3.12\"", "pycatch22 (<0.4.6)", "pyod (>=0.8) ; python_version < \"3.11\"", "scikit-posthocs (>=0.6.5)", "seaborn (>=0.11)", "seasonal", "skpro (>=2,<2.4.0)", "statsforecast (>=1.0.0,<1.8.0) ; python_version < \"3.12\"", "statsmodels (>=0.12.1)", "stumpy (>=1.5.1) ; python_version < \"3.11\"", "tbats (>=1.1) ; python_version < \"3.12\"", "temporian (>=0.7.0,!=0.8.0,<0.9.0) ; python_version < \"3.12\" and sys_platform != \"win32\"", "tensorflow (>=2,<2.17) ; python_version < \"3.12\"", "tsbootstrap (>=0.1.0,<0.2)", "tsfresh (>=0.17) ; python_version < \"3.12\"", "tslearn (>=0.5.2,!=0.6.0,<0.7.0) ; python_version < \"3.11\"", "xarray"]
+annotation = ["hmmlearn (>=0.2.7,<0.4)", "numba (>=0.53,<0.60)", "pyod (>=0.8,<1.2) ; python_version < \"3.12\""]
 binder = ["jupyter", "pandas (<2.0.0)"]
-classification = ["esig (>=0.9.7,<0.10)", "numba (>=0.53,<0.60)", "tensorflow (>=2,<2.17)", "tsfresh (>=0.17,<0.21)"]
-clustering = ["numba (>=0.53,<0.60)", "tslearn (>=0.5.2,!=0.6.0,<0.7.0)"]
-cython-extras = ["mrseql", "mrsqm", "numba (<0.60)"]
+classification = ["esig (>=0.9.7,<0.10) ; python_version < \"3.11\"", "numba (>=0.53,<0.60)", "tensorflow (>=2,<2.17) ; python_version < \"3.12\"", "tsfresh (>=0.17,<0.21) ; python_version < \"3.12\""]
+clustering = ["numba (>=0.53,<0.60)", "tslearn (>=0.5.2,!=0.6.0,<0.7.0) ; python_version < \"3.12\""]
+cython-extras = ["mrseql", "mrsqm ; python_version < \"3.11\"", "numba (<0.60)"]
 dataframe = ["dask (<2024.5.3)", "dask (<2024.5.3)"]
 datasets = ["rdata", "requests"]
 dev = ["backoff", "httpx", "pre-commit", "pytest", "pytest-cov", "pytest-randomly", "pytest-timeout", "pytest-xdist", "wheel"]
-dl = ["FrEIA", "neuralforecast (>=1.6.4,<1.8.0)", "pykan", "tensorflow (>=2,<2.17)", "torch", "transformers[torch] (<4.41.0)"]
+dl = ["FrEIA ; python_version < \"3.12\"", "neuralforecast (>=1.6.4,<1.8.0) ; python_version < \"3.11\"", "pykan ; python_version > \"3.9.7\"", "tensorflow (>=2,<2.17) ; python_version < \"3.12\"", "torch ; python_version < \"3.12\"", "transformers[torch] (<4.41.0) ; python_version < \"3.12\""]
 docs = ["Sphinx (!=7.2.0,<8.0.0)", "jupyter", "myst-parser", "nbsphinx (>=0.8.6)", "numpydoc", "pydata-sphinx-theme", "sphinx-copybutton", "sphinx-design (<0.7.0)", "sphinx-gallery (<0.17.0)", "sphinx-issues (<5.0.0)", "tabulate"]
-forecasting = ["arch (>=5.6,<7.1)", "pmdarima (>=1.8,!=1.8.1,<2.1)", "prophet (>=1.1,<1.2)", "skpro (>=2,<2.4.0)", "statsforecast (>=1.0.0,<1.8.0)", "statsmodels (>=0.12.1,<0.15)", "tbats (>=1.1,<1.2)"]
+forecasting = ["arch (>=5.6,<7.1)", "pmdarima (>=1.8,!=1.8.1,<2.1) ; python_version < \"3.12\"", "prophet (>=1.1,<1.2)", "skpro (>=2,<2.4.0)", "statsforecast (>=1.0.0,<1.8.0) ; python_version < \"3.12\"", "statsmodels (>=0.12.1,<0.15)", "tbats (>=1.1,<1.2) ; python_version < \"3.12\""]
 mlflow = ["mlflow"]
 mlflow-tests = ["boto3", "botocore", "mlflow", "moto"]
-networks = ["keras-self-attention (>=0.51,<0.52)", "tensorflow (>=2,<2.17)"]
+networks = ["keras-self-attention (>=0.51,<0.52)", "tensorflow (>=2,<2.17) ; python_version < \"3.12\""]
 pandas1 = ["pandas (<2.0.0)"]
 param-est = ["seasonal (>=0.3.1,<0.4)", "statsmodels (>=0.12.1,<0.15)"]
-regression = ["numba (>=0.53,<0.60)", "tensorflow (>=2,<2.17)"]
+regression = ["numba (>=0.53,<0.60)", "tensorflow (>=2,<2.17) ; python_version < \"3.12\""]
 tests = ["pytest (>=7.4,<8.3)", "pytest-cov (>=4.1,<5.1)", "pytest-randomly (>=3.15,<3.16)", "pytest-timeout (>=2.1,<2.4)", "pytest-xdist (>=3.3,<3.7)"]
-transformations = ["esig (>=0.9.7,<0.10)", "filterpy (>=1.4.5,<1.5)", "holidays (>=0.29,<0.51)", "mne (>=1.5,<1.8)", "numba (>=0.53,<0.60)", "pycatch22 (>=0.4,<0.4.6)", "statsmodels (>=0.12.1,<0.15)", "stumpy (>=1.5.1,<1.13)", "temporian (>=0.7.0,!=0.8.0,<0.9.0)", "tsbootstrap (>=0.1.0,<0.2)", "tsfresh (>=0.17,<0.21)"]
+transformations = ["esig (>=0.9.7,<0.10) ; python_version < \"3.11\"", "filterpy (>=1.4.5,<1.5)", "holidays (>=0.29,<0.51)", "mne (>=1.5,<1.8)", "numba (>=0.53,<0.60)", "pycatch22 (>=0.4,<0.4.6)", "statsmodels (>=0.12.1,<0.15)", "stumpy (>=1.5.1,<1.13) ; python_version < \"3.12\"", "temporian (>=0.7.0,!=0.8.0,<0.9.0) ; python_version < \"3.12\" and sys_platform != \"win32\"", "tsbootstrap (>=0.1.0,<0.2)", "tsfresh (>=0.17,<0.21) ; python_version < \"3.12\""]
 
 [[package]]
 name = "slicer"
@@ -4616,6 +4859,8 @@ version = "0.0.8"
 description = "A small package for big slicing."
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"xai\""
 files = [
     {file = "slicer-0.0.8-py3-none-any.whl", hash = "sha256:6c206258543aecd010d497dc2eca9d2805860a0b3758673903456b7df7934dc3"},
     {file = "slicer-0.0.8.tar.gz", hash = "sha256:2e7553af73f0c0c2d355f4afcc3ecf97c6f2156fcf4593955c3f56cf6c4d6eb7"},
@@ -4627,6 +4872,8 @@ version = "0.13.1"
 description = "An audio library based on libsndfile, CFFI and NumPy"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"audio\""
 files = [
     {file = "soundfile-0.13.1-py2.py3-none-any.whl", hash = "sha256:a23c717560da2cf4c7b5ae1142514e0fd82d6bbd9dfc93a50423447142f2c445"},
     {file = "soundfile-0.13.1-py2.py3-none-macosx_10_9_x86_64.whl", hash = "sha256:82dc664d19831933fe59adad199bf3945ad06d84bc111a5b4c0d3089a5b9ec33"},
@@ -4648,6 +4895,8 @@ version = "2.6"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9"},
     {file = "soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb"},
@@ -4659,6 +4908,7 @@ version = "2.0.38"
 description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "SQLAlchemy-2.0.38-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5e1d9e429028ce04f187a9f522818386c8b076723cdbe9345708384f49ebcec6"},
     {file = "SQLAlchemy-2.0.38-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b87a90f14c68c925817423b0424381f0e16d80fc9a1a1046ef202ab25b19a444"},
@@ -4754,6 +5004,8 @@ version = "0.2.0"
 description = "SSPI API bindings for Python"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"quantum\" and sys_platform == \"win32\""
 files = [
     {file = "sspilib-0.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:34f566ba8b332c91594e21a71200de2d4ce55ca5a205541d4128ed23e3c98777"},
     {file = "sspilib-0.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5b11e4f030de5c5de0f29bcf41a6e87c9fd90cb3b0f64e446a6e1d1aef4d08f5"},
@@ -4799,6 +5051,8 @@ version = "0.5.1"
 description = "Utilities for preparing Stan inputs and processing Stan outputs"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "stanio-0.5.1-py3-none-any.whl", hash = "sha256:99ad590daa5834681245c2b651716ec2e06223853661ada21430c621521c849f"},
     {file = "stanio-0.5.1.tar.gz", hash = "sha256:348d52f947dec431e118f4b601c4c5296929b86401d4d4dd5aa9373b0d4ae4ac"},
@@ -4817,6 +5071,7 @@ version = "1.6.0"
 description = "Time series forecasting suite using statistical models"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "statsforecast-1.6.0-py3-none-any.whl", hash = "sha256:2ec3ad09ad3f1abd5eacef95dcbb0f8ee03ca858ed66b138b471b5745a3c064e"},
     {file = "statsforecast-1.6.0.tar.gz", hash = "sha256:db73ec21bc81f24d5e22d3508b0a2084a4511719b240a922823db283dba12c52"},
@@ -4846,6 +5101,7 @@ version = "0.14.4"
 description = "Statistical computations and models for Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "statsmodels-0.14.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7a62f1fc9086e4b7ee789a6f66b3c0fc82dd8de1edda1522d30901a0aa45e42b"},
     {file = "statsmodels-0.14.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:46ac7ddefac0c9b7b607eed1d47d11e26fe92a1bc1f4d9af48aeed4e21e87981"},
@@ -4888,7 +5144,7 @@ scipy = ">=1.8,<1.9.2 || >1.9.2"
 
 [package.extras]
 build = ["cython (>=3.0.10)"]
-develop = ["colorama", "cython (>=3.0.10)", "cython (>=3.0.10,<4)", "flake8", "isort", "joblib", "matplotlib (>=3)", "pytest (>=7.3.0,<8)", "pytest-cov", "pytest-randomly", "pytest-xdist", "pywinpty", "setuptools-scm[toml] (>=8.0,<9.0)"]
+develop = ["colorama", "cython (>=3.0.10)", "cython (>=3.0.10,<4)", "flake8", "isort", "joblib", "matplotlib (>=3)", "pytest (>=7.3.0,<8)", "pytest-cov", "pytest-randomly", "pytest-xdist", "pywinpty ; os_name == \"nt\"", "setuptools-scm[toml] (>=8.0,<9.0)"]
 docs = ["ipykernel", "jupyter-client", "matplotlib", "nbconvert", "nbformat", "numpydoc", "pandas-datareader", "sphinx"]
 
 [[package]]
@@ -4897,6 +5153,8 @@ version = "0.1.3"
 description = "A Scalable Framework for Unsupervised Outlier Detection (Anomaly Detection)"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"xai\""
 files = [
     {file = "suod-0.1.3.tar.gz", hash = "sha256:d8ef15f00ba463f6a4cfc35889d237932512f534b1bea863ed9a42aa58e7379d"},
 ]
@@ -4918,6 +5176,8 @@ version = "0.14.0"
 description = "Python library providing wrappers to SymEngine"
 optional = true
 python-versions = "<4,>=3.8"
+groups = ["main"]
+markers = "extra == \"quantum\" and (platform_machine == \"x86_64\" or platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"amd64\" or platform_machine == \"arm64\")"
 files = [
     {file = "symengine-0.14.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:d6fef6ec56c0350dfe07ed6a4580d9fbd1402111222c9863a698f3c8394e63d0"},
     {file = "symengine-0.14.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:87a65060502d8e1625a1f168b2bf6b76a070cb06a35d75565f38a489e7a7d2c8"},
@@ -4970,6 +5230,7 @@ version = "1.13.3"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "sympy-1.13.3-py3-none-any.whl", hash = "sha256:54612cf55a62755ee71824ce692986f23c88ffa77207b30c1368eda4a7060f73"},
     {file = "sympy-1.13.3.tar.gz", hash = "sha256:b27fd2c6530e0ab39e275fc9b683895367e51d5da91baa8d3d64db2565fec4d9"},
@@ -4987,6 +5248,7 @@ version = "0.4.2"
 description = "Tab Transformer - Pytorch"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "tab_transformer_pytorch-0.4.2-py3-none-any.whl", hash = "sha256:10a2b03549606837601586f860006e28fbb62cbcbea3156e406f8e6eeb1331fe"},
     {file = "tab_transformer_pytorch-0.4.2.tar.gz", hash = "sha256:6c44c9a532bed7c60c0badb012e468c23a1e314d0ef83512e137ae908f014ab5"},
@@ -5003,6 +5265,8 @@ version = "2.6.2.2"
 description = "TensorBoardX lets you watch Tensors Flow without Tensorflow"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "tensorboardX-2.6.2.2-py2.py3-none-any.whl", hash = "sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8"},
     {file = "tensorboardX-2.6.2.2.tar.gz", hash = "sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666"},
@@ -5019,6 +5283,7 @@ version = "3.5.0"
 description = "threadpoolctl"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "threadpoolctl-3.5.0-py3-none-any.whl", hash = "sha256:56c1e26c150397e58c4926da8eeee87533b1e32bef131bd4bf6a2f45f3185467"},
     {file = "threadpoolctl-3.5.0.tar.gz", hash = "sha256:082433502dd922bf738de0d8bcc4fdcbf0979ff44c42bd40f5af8a282f6fa107"},
@@ -5030,6 +5295,7 @@ version = "0.21.0"
 description = ""
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "tokenizers-0.21.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:3c4c93eae637e7d2aaae3d376f06085164e1660f89304c0ab2b1d08a406636b2"},
     {file = "tokenizers-0.21.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:f53ea537c925422a2e0e92a24cce96f6bc5046bbef24a1652a5edc8ba975f62e"},
@@ -5062,6 +5328,7 @@ version = "0.10.2"
 description = "Python Library for Tom's Obvious, Minimal Language"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+groups = ["main"]
 files = [
     {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
@@ -5073,6 +5340,8 @@ version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.10\""
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
     {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
@@ -5114,6 +5383,8 @@ version = "0.12.1"
 description = "List processing tools and functional utilities"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "toolz-0.12.1-py3-none-any.whl", hash = "sha256:d22731364c07d72eea0a0ad45bafb2c2937ab6fd38a3507bf55eae8744aa7d85"},
     {file = "toolz-0.12.1.tar.gz", hash = "sha256:ecca342664893f177a13dac0e6b41cbd8ac25a358e5f215316d43e2100224f4d"},
@@ -5125,6 +5396,7 @@ version = "2.4.1"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
 files = [
     {file = "torch-2.4.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:362f82e23a4cd46341daabb76fba08f04cd646df9bfaf5da50af97cb60ca4971"},
     {file = "torch-2.4.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:e8ac1985c3ff0f60d85b991954cfc2cc25f79c84545aead422763148ed2759e3"},
@@ -5179,6 +5451,7 @@ version = "0.1.0"
 description = "pytorch-optimizer"
 optional = false
 python-versions = ">=3.6.0"
+groups = ["main"]
 files = [
     {file = "torch-optimizer-0.1.0.tar.gz", hash = "sha256:3f67b71838a23a149afa7b3e1d9d7d3fd7c83b5758c8f3744900de1584969cf5"},
     {file = "torch_optimizer-0.1.0-py3-none-any.whl", hash = "sha256:b7adaed38b66a5c5105a59b30a71c4ab7c9954baf0acabd969fee3dac954657d"},
@@ -5194,6 +5467,8 @@ version = "1.6.2"
 description = "PyTorch native Metrics"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "torchmetrics-1.6.2-py3-none-any.whl", hash = "sha256:586b970aff33a2154bfb6ed4539a557e9a268b6dce408bbdef0fec99fef3c78b"},
     {file = "torchmetrics-1.6.2.tar.gz", hash = "sha256:a3fa6372dbf01183d0f6fda2159e9526fb62818aa3630660909c290425f67df6"},
@@ -5209,7 +5484,7 @@ torch = ">=2.0.0"
 all = ["SciencePlots (>=2.0.0)", "gammatone (>=1.0.0)", "ipadic (>=1.0.0)", "librosa (>=0.10.0)", "matplotlib (>=3.6.0)", "mecab-python3 (>=1.0.6)", "mypy (==1.15.0)", "nltk (>3.8.1)", "onnxruntime (>=1.12.0)", "pesq (>=0.0.4)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.4.0)", "regex (>=2021.9.24)", "requests (>=2.19.0)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "torch (==2.6.0)", "torch-fidelity (<=0.4.0)", "torchaudio (>=2.0.1)", "torchvision (>=0.15.1)", "torchvision (>=0.15.1)", "tqdm (<4.68.0)", "transformers (>4.4.0)", "transformers (>=4.42.3)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
 audio = ["gammatone (>=1.0.0)", "librosa (>=0.10.0)", "onnxruntime (>=1.12.0)", "pesq (>=0.0.4)", "pystoi (>=0.4.0)", "requests (>=2.19.0)", "torchaudio (>=2.0.1)"]
 detection = ["pycocotools (>2.0.0)", "torchvision (>=0.15.1)"]
-dev = ["PyTDC (==0.4.1)", "SciencePlots (>=2.0.0)", "bert_score (==0.3.13)", "dython (==0.7.9)", "fairlearn", "fast-bss-eval (>=0.1.0)", "faster-coco-eval (>=1.6.3)", "gammatone (>=1.0.0)", "huggingface-hub (<0.30)", "ipadic (>=1.0.0)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "librosa (>=0.10.0)", "lpips (<=0.1.4)", "matplotlib (>=3.6.0)", "mecab-ko (>=1.0.0,<1.1.0)", "mecab-ko-dic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "mir-eval (>=0.6)", "monai (==1.4.0)", "mypy (==1.15.0)", "netcal (>1.0.0)", "nltk (>3.8.1)", "numpy (<2.3.0)", "onnxruntime (>=1.12.0)", "pandas (>1.4.0)", "permetrics (==2.0.0)", "pesq (>=0.0.4)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.4.0)", "pytorch-msssim (==1.0.0)", "regex (>=2021.9.24)", "requests (>=2.19.0)", "rouge-score (>0.1.0)", "sacrebleu (>=2.3.0)", "scikit-image (>=0.19.0)", "scipy (>1.0.0)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "sewar (>=0.4.4)", "statsmodels (>0.13.5)", "torch (==2.6.0)", "torch-fidelity (<=0.4.0)", "torch_complex (<0.5.0)", "torchaudio (>=2.0.1)", "torchvision (>=0.15.1)", "torchvision (>=0.15.1)", "tqdm (<4.68.0)", "transformers (>4.4.0)", "transformers (>=4.42.3)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
+dev = ["PyTDC (==0.4.1) ; python_version < \"3.12\"", "SciencePlots (>=2.0.0)", "bert_score (==0.3.13)", "dython (==0.7.9)", "fairlearn", "fast-bss-eval (>=0.1.0)", "faster-coco-eval (>=1.6.3)", "gammatone (>=1.0.0)", "huggingface-hub (<0.30)", "ipadic (>=1.0.0)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "librosa (>=0.10.0)", "lpips (<=0.1.4)", "matplotlib (>=3.6.0)", "mecab-ko (>=1.0.0,<1.1.0) ; python_version < \"3.12\"", "mecab-ko-dic (>=1.0.0) ; python_version < \"3.12\"", "mecab-python3 (>=1.0.6)", "mir-eval (>=0.6)", "monai (==1.4.0)", "mypy (==1.15.0)", "netcal (>1.0.0)", "nltk (>3.8.1)", "numpy (<2.3.0)", "onnxruntime (>=1.12.0)", "pandas (>1.4.0)", "permetrics (==2.0.0)", "pesq (>=0.0.4)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.4.0)", "pytorch-msssim (==1.0.0)", "regex (>=2021.9.24)", "requests (>=2.19.0)", "rouge-score (>0.1.0)", "sacrebleu (>=2.3.0)", "scikit-image (>=0.19.0)", "scipy (>1.0.0)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "sewar (>=0.4.4)", "statsmodels (>0.13.5)", "torch (==2.6.0)", "torch-fidelity (<=0.4.0)", "torch_complex (<0.5.0)", "torchaudio (>=2.0.1)", "torchvision (>=0.15.1)", "torchvision (>=0.15.1)", "tqdm (<4.68.0)", "transformers (>4.4.0)", "transformers (>=4.42.3)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
 image = ["scipy (>1.0.0)", "torch-fidelity (<=0.4.0)", "torchvision (>=0.15.1)"]
 multimodal = ["piq (<=0.8.0)", "transformers (>=4.42.3)"]
 text = ["ipadic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "nltk (>3.8.1)", "regex (>=2021.9.24)", "sentencepiece (>=0.2.0)", "tqdm (<4.68.0)", "transformers (>4.4.0)"]
@@ -5222,6 +5497,8 @@ version = "0.19.1"
 description = "image and video datasets and models for torch deep learning"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"image\""
 files = [
     {file = "torchvision-0.19.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:54e8513099e6f586356c70f809d34f391af71ad182fe071cc328a28af2c40608"},
     {file = "torchvision-0.19.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:20a1f5e02bfdad7714e55fa3fa698347c11d829fa65e11e5a84df07d93350eed"},
@@ -5260,6 +5537,7 @@ version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
     {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
@@ -5281,6 +5559,7 @@ version = "4.49.0"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.9.0"
+groups = ["main"]
 files = [
     {file = "transformers-4.49.0-py3-none-any.whl", hash = "sha256:6b4fded1c5fee04d384b1014495b4235a2b53c87503d7d592423c06128cbbe03"},
     {file = "transformers-4.49.0.tar.gz", hash = "sha256:7e40e640b5b8dc3f48743f5f5adbdce3660c82baafbd3afdfc04143cdbd2089e"},
@@ -5350,6 +5629,7 @@ version = "0.9.8"
 description = "A collection of python utils for Fugue projects"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "triad-0.9.8-py3-none-any.whl", hash = "sha256:2c0ba7d83977c6d4e7b59e3cc70727f858014ef7676c62d184aa8e63f7bef5de"},
     {file = "triad-0.9.8.tar.gz", hash = "sha256:5b67673124891981daf8afbab44b2e6358932ca35ef3ff38a25bc3e0f6f03f17"},
@@ -5372,6 +5652,8 @@ version = "3.0.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "triton-3.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e1efef76935b2febc365bfadf74bcb65a6f959a9872e5bddf44cc9e0adce1e1a"},
     {file = "triton-3.0.0-1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5ce8520437c602fb633f1324cc3871c47bee3b67acf9756c1a66309b60e3216c"},
@@ -5394,6 +5676,8 @@ version = "1.1.1"
 description = "A library for synthesizing and manipulating quantum circuits"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "tweedledum-1.1.1-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:b563c8324bbf5ed9ed57399a1eca34d8a82cb146b3011154e3df749753b75fe5"},
     {file = "tweedledum-1.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a5d734fed09a479afc0ec8fa91764ac9411821c27396e1b7d4a64393e689271d"},
@@ -5446,6 +5730,7 @@ version = "0.0.21"
 description = "Automated type inference for Machine Learning pipelines."
 optional = false
 python-versions = "<3.12,>=3.8"
+groups = ["main"]
 files = [
     {file = "type_infer-0.0.21-py3-none-any.whl", hash = "sha256:af90342a3040557705e08e5604145c725be7bb26b1daef2fcf42e390018bef6c"},
     {file = "type_infer-0.0.21.tar.gz", hash = "sha256:3922eb150b79bd772c27aa210b2f40cb168739533ba38c2694b5d57d1d9187c0"},
@@ -5469,6 +5754,7 @@ version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
@@ -5480,6 +5766,7 @@ version = "0.9.0"
 description = "Runtime inspection utilities for typing module."
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"},
     {file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"},
@@ -5495,6 +5782,7 @@ version = "2025.1"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
+groups = ["main"]
 files = [
     {file = "tzdata-2025.1-py2.py3-none-any.whl", hash = "sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639"},
     {file = "tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694"},
@@ -5506,13 +5794,14 @@ version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
     {file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
@@ -5523,6 +5812,8 @@ version = "0.2.12"
 description = "Forecasting utilities"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "utilsforecast-0.2.12-py3-none-any.whl", hash = "sha256:acfba80bbf44e18433c206194f3ddd89cc28ff03aa0ba744b8040795a40b7b3f"},
     {file = "utilsforecast-0.2.12.tar.gz", hash = "sha256:73f9dfd836a721a95c349f784bd75e18a4cb7c1469800e325414e22901e9775b"},
@@ -5544,6 +5835,8 @@ version = "1.8.0"
 description = "WebSocket client for Python with low level API options"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"},
     {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"},
@@ -5560,6 +5853,8 @@ version = "0.45.1"
 description = "A built-package format for Python"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "wheel-0.45.1-py3-none-any.whl", hash = "sha256:708e7481cc80179af0e556bbf0cc00b8444c7321e2700b8d8580231d13017248"},
     {file = "wheel-0.45.1.tar.gz", hash = "sha256:661e1abd9198507b1409a20c02106d9670b2576e916d58f520316666abca6729"},
@@ -5574,6 +5869,7 @@ version = "1.7.6"
 description = "XGBoost Python Package"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "xgboost-1.7.6-py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.macosx_12_0_x86_64.whl", hash = "sha256:4c34675b4d2678c624ddde5d45361e7e16046923e362e4e609b88353e6b87124"},
     {file = "xgboost-1.7.6-py3-none-macosx_12_0_arm64.whl", hash = "sha256:59b4b366d2cafc7f645e87d897983a5b59be02876194b1d213bd8d8b811d8ce8"},
@@ -5601,6 +5897,8 @@ version = "1.18.3"
 description = "Yet another URL library"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"extra-ts\""
 files = [
     {file = "yarl-1.18.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34"},
     {file = "yarl-1.18.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7"},
@@ -5697,6 +5995,8 @@ version = "0.2.54"
 description = "Download market data from Yahoo! Finance API"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"quantum\""
 files = [
     {file = "yfinance-0.2.54-py2.py3-none-any.whl", hash = "sha256:8754f90332158d5d19bf754c1b230864ca2d1d313182a3f94a7bc7718bbe7d90"},
     {file = "yfinance-0.2.54.tar.gz", hash = "sha256:a4ab8e2ecba4fda5a36bff0bdc602a014adc732e5eda5d3ac283836ce40356e8"},
@@ -5723,17 +6023,19 @@ version = "3.21.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version < \"3.10\""
 files = [
     {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
     {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]
 
 [extras]
@@ -5746,6 +6048,6 @@ quantum = ["qiskit"]
 xai = ["pyod", "shap", "suod"]
 
 [metadata]
-lock-version = "2.0"
+lock-version = "2.1"
 python-versions = ">=3.9,<3.12"
-content-hash = "4103a1ce7df4e3849da745e992457c4d4856c280e70d98db6356f7325f1fff86"
+content-hash = "db1f9dc039481cc1ca0c6f5a5135877786ebf869d6b2da5a77fe74ffa31f8db9"
diff --git a/pyproject.toml b/pyproject.toml
index 5cd636de6..d49fe3303 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -40,7 +40,7 @@ tab-transformer-pytorch = ">= 0.2.1"
 autopep8 = {version = ">=1.5.7", optional = true}
 flake8 = {version = ">=6.0.0", optional = true}
 librosa = {version = "==0.8.1", optional = true}
-lightgbm = {version = ">=4.3.0,<=4.4.0", optional = true}
+lightgbm = {version = ">=4.3.0,<=4.6.0", optional = true}
 pystan = {version = "==2.19.1.1", optional = true}
 prophet = {version = "==1.1", optional = true}
 neuralforecast = {version = ">=1.6.4,<1.7.0", optional = true}