diff --git a/.github/workflows/Build.yml b/.github/workflows/Build.yml
index f99fb41f..62aa039d 100644
--- a/.github/workflows/Build.yml
+++ b/.github/workflows/Build.yml
@@ -6,25 +6,26 @@ jobs:
   build:
     runs-on: ubuntu-latest
     strategy:
+      fail-fast: false
       matrix:
-        python-version: ["3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.11", "3.12", "3.13", "3.14"]
+        include:
+          - python-version: "3.14"
+            experimental: true
+
+    continue-on-error: ${{ matrix.experimental || false }}
 
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@v4
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v7
+
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v4
-        with:
-          python-version: ${{ matrix.python-version }}
+        run: uv python install ${{ matrix.python-version }}
+
       - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install poetry
-          poetry self add poetry-plugin-shell
-          poetry self add poetry-plugin-export
-          poetry export -f requirements.txt -o requirements.txt --without-hashes --with dev
-          poetry run pip install --upgrade pip
-          poetry run pip install -q -r requirements.txt
-          poetry install -q
+        run: uv sync --group dev
+
       - name: Test with pytest
-        run: |
-          poetry run pytest tests/
+        run: uv run pytest tests/
diff --git a/README.md b/README.md
index 5b8ceee1..a9e0f4ac 100644
--- a/README.md
+++ b/README.md
@@ -10,7 +10,7 @@ The **Hy**perscanning **Py**thon **P**ipeline
 
 🤝 If you want to help you can submit bugs and suggestions of enhancements in our Github [Issues section](https://github.com/ppsp-team/HyPyP/issues).
 
-🤓 For the motivated contributors, you can even help directly in the development of HyPyP. You will need to install [Poetry](https://python-poetry.org/) (see section below).
+🤓 For the motivated contributors, you can even help directly in the development of HyPyP. You will need to install [uv](https://docs.astral.sh/uv/) (see section below).
 
 ## Contributors
 
@@ -49,16 +49,20 @@ For getting started with HyPyP, we have designed a little walkthrough: [getting_
 
 🌊 [wavelet/\*.py](https://github.com/ppsp-team/HyPyP/blob/master/hypyp/wavelet) — Continuous Wavelet Transform and Wavelet Transform Coherence (Patrice)
 
-📊 [shiny/\*.py](https://github.com/ppsp-team/HyPyP/blob/master/hypyp/app) — Shiny dashboards, install using `poetry install --extras shiny` (Patrice)
+📊 [shiny/\*.py](https://github.com/ppsp-team/HyPyP/blob/master/hypyp/app) — Shiny dashboards, install using `uv sync --extra shiny` (Patrice)
 
-## Poetry Installation (Only for Developers and Adventurous Users)
+## Developer Installation (uv)
 
-To develop HyPyP, we recommend using [Poetry 2.x](https://python-poetry.org/). Follow these steps:
+To develop HyPyP, we recommend using [uv](https://docs.astral.sh/uv/). Follow these steps:
 
-### 1. Install Poetry:
+### 1. Install uv:
 
 ```bash
-   pip install poetry
+# macOS / Linux
+curl -LsSf https://astral.sh/uv/install.sh | sh
+
+# or with pip
+pip install uv
 ```
 
 ### 2. Clone the Repository:
@@ -71,48 +75,31 @@ cd HyPyP
 ### 3. Install Dependencies:
 
 ```bash
-poetry install
-```
-
-Note: By default, dev dependencies (including JupyterLab) are not included in the main dependencies.
-To install development dependencies, you can run:
-
-```bash
-poetry install --with dev
+uv sync --group dev
 ```
 
 ### 4. Launch Jupyter Lab to Run Notebooks:
 
-Instead of entering a shell, launch Jupyter Lab directly within the Poetry environment:
-
 ```bash
-poetry run jupyter lab
+uv run jupyter lab
 ```
 
-## Additional Setup for Poetry
-
-- **Install Poetry Plugins:**
-
-To have full functionality with Poetry, add the following plugins:
+### Optional extras:
 
 ```bash
-poetry self add poetry-plugin-shell
-poetry self add poetry-plugin-export
-```
-
-- **VS Code Integration:**
+# Shiny dashboards
+uv sync --group dev --extra shiny
 
-To make the Poetry virtual environment available in VS Code, you might need to set Poetry to create in-project virtual environments. You can do this either by running:
+# Numba optimization backend (CPU JIT)
+uv sync --group dev --extra numba
 
-```bash
-poetry config virtualenvs.in-project true
+# PyTorch optimization backend (GPU/MPS)
+uv sync --group dev --extra torch
 ```
 
-or by adding the following line to your .bashrc or .zshrc:
+### VS Code Integration
 
-```bash
-poetry config virtualenvs.in-project true
-```
+uv creates a `.venv` directory in the project root by default. VS Code should auto-detect it. If not, point the Python interpreter to `.venv/bin/python`.
 
 ## Child Head Visualization
 
diff --git a/data/NIRS/sample_1.snirf b/data/NIRS/sample_1.snirf
new file mode 100644
index 00000000..fa187a1f
Binary files /dev/null and b/data/NIRS/sample_1.snirf differ
diff --git a/data/NIRS/sample_2.snirf b/data/NIRS/sample_2.snirf
new file mode 100644
index 00000000..2b17abd6
Binary files /dev/null and b/data/NIRS/sample_2.snirf differ
diff --git a/data/NIRS/sample_3.snirf b/data/NIRS/sample_3.snirf
new file mode 100644
index 00000000..4799014f
Binary files /dev/null and b/data/NIRS/sample_3.snirf differ
diff --git a/data/NIRS/sample_4.snirf b/data/NIRS/sample_4.snirf
new file mode 100644
index 00000000..179d69c1
Binary files /dev/null and b/data/NIRS/sample_4.snirf differ
diff --git a/poetry.lock b/poetry.lock
deleted file mode 100644
index f80634cb..00000000
--- a/poetry.lock
+++ /dev/null
@@ -1,6828 +0,0 @@
-# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand.
-
-[[package]]
-name = "anyio"
-version = "4.12.1"
-description = "High-level concurrency and networking framework on top of asyncio or Trio"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev", "shiny"]
-files = [
-    {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"},
-    {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"},
-]
-
-[package.dependencies]
-exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
-idna = ">=2.8"
-typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
-
-[package.extras]
-trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""]
-
-[[package]]
-name = "appnope"
-version = "0.1.4"
-description = "Disable App Nap on macOS >= 10.9"
-optional = false
-python-versions = ">=3.6"
-groups = ["dev"]
-markers = "platform_system == \"Darwin\""
-files = [
-    {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"},
-    {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"},
-]
-
-[[package]]
-name = "argon2-cffi"
-version = "25.1.0"
-description = "Argon2 for Python"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "argon2_cffi-25.1.0-py3-none-any.whl", hash = "sha256:fdc8b074db390fccb6eb4a3604ae7231f219aa669a2652e0f20e16ba513d5741"},
-    {file = "argon2_cffi-25.1.0.tar.gz", hash = "sha256:694ae5cc8a42f4c4e2bf2ca0e64e51e23a040c6a517a85074683d3959e1346c1"},
-]
-
-[package.dependencies]
-argon2-cffi-bindings = "*"
-
-[[package]]
-name = "argon2-cffi-bindings"
-version = "25.1.0"
-description = "Low-level CFFI bindings for Argon2"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:3d3f05610594151994ca9ccb3c771115bdb4daef161976a266f0dd8aa9996b8f"},
-    {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:8b8efee945193e667a396cbc7b4fb7d357297d6234d30a489905d96caabde56b"},
-    {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:3c6702abc36bf3ccba3f802b799505def420a1b7039862014a65db3205967f5a"},
-    {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a1c70058c6ab1e352304ac7e3b52554daadacd8d453c1752e547c76e9c99ac44"},
-    {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e2fd3bfbff3c5d74fef31a722f729bf93500910db650c925c2d6ef879a7e51cb"},
-    {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:c4f9665de60b1b0e99bcd6be4f17d90339698ce954cfd8d9cf4f91c995165a92"},
-    {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:ba92837e4a9aa6a508c8d2d7883ed5a8f6c308c89a4790e1e447a220deb79a85"},
-    {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-win32.whl", hash = "sha256:84a461d4d84ae1295871329b346a97f68eade8c53b6ed9a7ca2d7467f3c8ff6f"},
-    {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b55aec3565b65f56455eebc9b9f34130440404f27fe21c3b375bf1ea4d8fbae6"},
-    {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:87c33a52407e4c41f3b70a9c2d3f6056d88b10dad7695be708c5021673f55623"},
-    {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:aecba1723ae35330a008418a91ea6cfcedf6d31e5fbaa056a166462ff066d500"},
-    {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:2630b6240b495dfab90aebe159ff784d08ea999aa4b0d17efa734055a07d2f44"},
-    {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:7aef0c91e2c0fbca6fc68e7555aa60ef7008a739cbe045541e438373bc54d2b0"},
-    {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1e021e87faa76ae0d413b619fe2b65ab9a037f24c60a1e6cc43457ae20de6dc6"},
-    {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d3e924cfc503018a714f94a49a149fdc0b644eaead5d1f089330399134fa028a"},
-    {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:c87b72589133f0346a1cb8d5ecca4b933e3c9b64656c9d175270a000e73b288d"},
-    {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:1db89609c06afa1a214a69a462ea741cf735b29a57530478c06eb81dd403de99"},
-    {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-win32.whl", hash = "sha256:473bcb5f82924b1becbb637b63303ec8d10e84c8d241119419897a26116515d2"},
-    {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-win_amd64.whl", hash = "sha256:a98cd7d17e9f7ce244c0803cad3c23a7d379c301ba618a5fa76a67d116618b98"},
-    {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-win_arm64.whl", hash = "sha256:b0fdbcf513833809c882823f98dc2f931cf659d9a1429616ac3adebb49f5db94"},
-    {file = "argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:6dca33a9859abf613e22733131fc9194091c1fa7cb3e131c143056b4856aa47e"},
-    {file = "argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:21378b40e1b8d1655dd5310c84a40fc19a9aa5e6366e835ceb8576bf0fea716d"},
-    {file = "argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5d588dec224e2a83edbdc785a5e6f3c6cd736f46bfd4b441bbb5aa1f5085e584"},
-    {file = "argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5acb4e41090d53f17ca1110c3427f0a130f944b896fc8c83973219c97f57b690"},
-    {file = "argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:da0c79c23a63723aa5d782250fbf51b768abca630285262fb5144ba5ae01e520"},
-    {file = "argon2_cffi_bindings-25.1.0.tar.gz", hash = "sha256:b957f3e6ea4d55d820e40ff76f450952807013d361a65d7f28acc0acbf29229d"},
-]
-
-[package.dependencies]
-cffi = {version = ">=1.0.1", markers = "python_version < \"3.14\""}
-
-[[package]]
-name = "arrow"
-version = "1.4.0"
-description = "Better dates & times for Python"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "arrow-1.4.0-py3-none-any.whl", hash = "sha256:749f0769958ebdc79c173ff0b0670d59051a535fa26e8eba02953dc19eb43205"},
-    {file = "arrow-1.4.0.tar.gz", hash = "sha256:ed0cc050e98001b8779e84d461b0098c4ac597e88704a655582b21d116e526d7"},
-]
-
-[package.dependencies]
-python-dateutil = ">=2.7.0"
-tzdata = {version = "*", markers = "python_version >= \"3.9\""}
-
-[package.extras]
-doc = ["doc8", "sphinx (>=7.0.0)", "sphinx-autobuild", "sphinx-autodoc-typehints", "sphinx_rtd_theme (>=1.3.0)"]
-test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock", "pytz (==2025.2)", "simplejson (==3.*)"]
-
-[[package]]
-name = "asgiref"
-version = "3.11.0"
-description = "ASGI specs, helper code, and adapters"
-optional = false
-python-versions = ">=3.9"
-groups = ["shiny"]
-files = [
-    {file = "asgiref-3.11.0-py3-none-any.whl", hash = "sha256:1db9021efadb0d9512ce8ffaf72fcef601c7b73a8807a1bb2ef143dc6b14846d"},
-    {file = "asgiref-3.11.0.tar.gz", hash = "sha256:13acff32519542a1736223fb79a715acdebe24286d98e8b164a73085f40da2c4"},
-]
-
-[package.dependencies]
-typing_extensions = {version = ">=4", markers = "python_version < \"3.11\""}
-
-[package.extras]
-tests = ["mypy (>=1.14.0)", "pytest", "pytest-asyncio"]
-
-[[package]]
-name = "astroid"
-version = "4.0.3"
-description = "An abstract syntax tree for Python with inference support."
-optional = false
-python-versions = ">=3.10.0"
-groups = ["dev"]
-files = [
-    {file = "astroid-4.0.3-py3-none-any.whl", hash = "sha256:864a0a34af1bd70e1049ba1e61cee843a7252c826d97825fcee9b2fcbd9e1b14"},
-    {file = "astroid-4.0.3.tar.gz", hash = "sha256:08d1de40d251cc3dc4a7a12726721d475ac189e4e583d596ece7422bc176bda3"},
-]
-
-[package.dependencies]
-typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""}
-
-[[package]]
-name = "asttokens"
-version = "3.0.1"
-description = "Annotate AST trees with source code positions"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "asttokens-3.0.1-py3-none-any.whl", hash = "sha256:15a3ebc0f43c2d0a50eeafea25e19046c68398e487b9f1f5b517f7c0f40f976a"},
-    {file = "asttokens-3.0.1.tar.gz", hash = "sha256:71a4ee5de0bde6a31d64f6b13f2293ac190344478f081c3d1bccfcf5eacb0cb7"},
-]
-
-[package.extras]
-astroid = ["astroid (>=2,<5)"]
-test = ["astroid (>=2,<5)", "pytest (<9.0)", "pytest-cov", "pytest-xdist"]
-
-[[package]]
-name = "async-lru"
-version = "2.1.0"
-description = "Simple LRU cache for asyncio"
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-files = [
-    {file = "async_lru-2.1.0-py3-none-any.whl", hash = "sha256:fa12dcf99a42ac1280bc16c634bbaf06883809790f6304d85cdab3f666f33a7e"},
-    {file = "async_lru-2.1.0.tar.gz", hash = "sha256:9eeb2fecd3fe42cc8a787fc32ead53a3a7158cc43d039c3c55ab3e4e5b2a80ed"},
-]
-
-[package.dependencies]
-typing_extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""}
-
-[[package]]
-name = "attrs"
-version = "25.4.0"
-description = "Classes Without Boilerplate"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"},
-    {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"},
-]
-
-[[package]]
-name = "autoreject"
-version = "0.4.3"
-description = "Automated rejection and repair of epochs in M/EEG."
-optional = false
-python-versions = "~=3.8"
-groups = ["main"]
-files = [
-    {file = "autoreject-0.4.3-py3-none-any.whl", hash = "sha256:a094bebeaea40572f479b2b489c14c54a0be4d57ae7f51ea269c754d2433f9c1"},
-    {file = "autoreject-0.4.3.tar.gz", hash = "sha256:bd977ea3c88dc68550fbd5dbb98515b3b811907ba78afe8e412632edde6c8fc5"},
-]
-
-[package.dependencies]
-joblib = "*"
-matplotlib = ">=3.4.0"
-mne = {version = ">=1.0", extras = ["hdf5"]}
-numpy = ">=1.20.2"
-scikit-learn = ">=0.24.2"
-scipy = ">=1.6.3"
-
-[package.extras]
-doc = ["cython", "numpydoc", "openneuro-py (>=2021.10.1)", "pillow", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinx-gallery", "sphinx-github-role"]
-test = ["PyQt6", "check-manifest", "flake8", "importlib-resources", "mne-qt-browser", "pytest", "pytest-cov", "pytest-sugar"]
-
-[[package]]
-name = "babel"
-version = "2.17.0"
-description = "Internationalization utilities"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2"},
-    {file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"},
-]
-
-[package.extras]
-dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""]
-
-[[package]]
-name = "backrefs"
-version = "6.1"
-description = "A wrapper around re and regex that adds additional back references."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "backrefs-6.1-py310-none-any.whl", hash = "sha256:2a2ccb96302337ce61ee4717ceacfbf26ba4efb1d55af86564b8bbaeda39cac1"},
-    {file = "backrefs-6.1-py311-none-any.whl", hash = "sha256:e82bba3875ee4430f4de4b6db19429a27275d95a5f3773c57e9e18abc23fd2b7"},
-    {file = "backrefs-6.1-py312-none-any.whl", hash = "sha256:c64698c8d2269343d88947c0735cb4b78745bd3ba590e10313fbf3f78c34da5a"},
-    {file = "backrefs-6.1-py313-none-any.whl", hash = "sha256:4c9d3dc1e2e558965202c012304f33d4e0e477e1c103663fd2c3cc9bb18b0d05"},
-    {file = "backrefs-6.1-py314-none-any.whl", hash = "sha256:13eafbc9ccd5222e9c1f0bec563e6d2a6d21514962f11e7fc79872fd56cbc853"},
-    {file = "backrefs-6.1-py39-none-any.whl", hash = "sha256:a9e99b8a4867852cad177a6430e31b0f6e495d65f8c6c134b68c14c3c95bf4b0"},
-    {file = "backrefs-6.1.tar.gz", hash = "sha256:3bba1749aafe1db9b915f00e0dd166cba613b6f788ffd63060ac3485dc9be231"},
-]
-
-[package.extras]
-extras = ["regex"]
-
-[[package]]
-name = "beautifulsoup4"
-version = "4.14.3"
-description = "Screen-scraping library"
-optional = false
-python-versions = ">=3.7.0"
-groups = ["dev"]
-files = [
-    {file = "beautifulsoup4-4.14.3-py3-none-any.whl", hash = "sha256:0918bfe44902e6ad8d57732ba310582e98da931428d231a5ecb9e7c703a735bb"},
-    {file = "beautifulsoup4-4.14.3.tar.gz", hash = "sha256:6292b1c5186d356bba669ef9f7f051757099565ad9ada5dd630bd9de5fa7fb86"},
-]
-
-[package.dependencies]
-soupsieve = ">=1.6.1"
-typing-extensions = ">=4.0.0"
-
-[package.extras]
-cchardet = ["cchardet"]
-chardet = ["chardet"]
-charset-normalizer = ["charset-normalizer"]
-html5lib = ["html5lib"]
-lxml = ["lxml"]
-
-[[package]]
-name = "black"
-version = "26.1.0"
-description = "The uncompromising code formatter."
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-files = [
-    {file = "black-26.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ca699710dece84e3ebf6e92ee15f5b8f72870ef984bf944a57a777a48357c168"},
-    {file = "black-26.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5e8e75dabb6eb83d064b0db46392b25cabb6e784ea624219736e8985a6b3675d"},
-    {file = "black-26.1.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:eb07665d9a907a1a645ee41a0df8a25ffac8ad9c26cdb557b7b88eeeeec934e0"},
-    {file = "black-26.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:7ed300200918147c963c87700ccf9966dceaefbbb7277450a8d646fc5646bf24"},
-    {file = "black-26.1.0-cp310-cp310-win_arm64.whl", hash = "sha256:c5b7713daea9bf943f79f8c3b46f361cc5229e0e604dcef6a8bb6d1c37d9df89"},
-    {file = "black-26.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3cee1487a9e4c640dc7467aaa543d6c0097c391dc8ac74eb313f2fbf9d7a7cb5"},
-    {file = "black-26.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d62d14ca31c92adf561ebb2e5f2741bf8dea28aef6deb400d49cca011d186c68"},
-    {file = "black-26.1.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fb1dafbbaa3b1ee8b4550a84425aac8874e5f390200f5502cf3aee4a2acb2f14"},
-    {file = "black-26.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:101540cb2a77c680f4f80e628ae98bd2bd8812fb9d72ade4f8995c5ff019e82c"},
-    {file = "black-26.1.0-cp311-cp311-win_arm64.whl", hash = "sha256:6f3977a16e347f1b115662be07daa93137259c711e526402aa444d7a88fdc9d4"},
-    {file = "black-26.1.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6eeca41e70b5f5c84f2f913af857cf2ce17410847e1d54642e658e078da6544f"},
-    {file = "black-26.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:dd39eef053e58e60204f2cdf059e2442e2eb08f15989eefe259870f89614c8b6"},
-    {file = "black-26.1.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9459ad0d6cd483eacad4c6566b0f8e42af5e8b583cee917d90ffaa3778420a0a"},
-    {file = "black-26.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:a19915ec61f3a8746e8b10adbac4a577c6ba9851fa4a9e9fbfbcf319887a5791"},
-    {file = "black-26.1.0-cp312-cp312-win_arm64.whl", hash = "sha256:643d27fb5facc167c0b1b59d0315f2674a6e950341aed0fc05cf307d22bf4954"},
-    {file = "black-26.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:ba1d768fbfb6930fc93b0ecc32a43d8861ded16f47a40f14afa9bb04ab93d304"},
-    {file = "black-26.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:2b807c240b64609cb0e80d2200a35b23c7df82259f80bef1b2c96eb422b4aac9"},
-    {file = "black-26.1.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1de0f7d01cc894066a1153b738145b194414cc6eeaad8ef4397ac9abacf40f6b"},
-    {file = "black-26.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:91a68ae46bf07868963671e4d05611b179c2313301bd756a89ad4e3b3db2325b"},
-    {file = "black-26.1.0-cp313-cp313-win_arm64.whl", hash = "sha256:be5e2fe860b9bd9edbf676d5b60a9282994c03fbbd40fe8f5e75d194f96064ca"},
-    {file = "black-26.1.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:9dc8c71656a79ca49b8d3e2ce8103210c9481c57798b48deeb3a8bb02db5f115"},
-    {file = "black-26.1.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:b22b3810451abe359a964cc88121d57f7bce482b53a066de0f1584988ca36e79"},
-    {file = "black-26.1.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:53c62883b3f999f14e5d30b5a79bd437236658ad45b2f853906c7cbe79de00af"},
-    {file = "black-26.1.0-cp314-cp314-win_amd64.whl", hash = "sha256:f016baaadc423dc960cdddf9acae679e71ee02c4c341f78f3179d7e4819c095f"},
-    {file = "black-26.1.0-cp314-cp314-win_arm64.whl", hash = "sha256:66912475200b67ef5a0ab665011964bf924745103f51977a78b4fb92a9fc1bf0"},
-    {file = "black-26.1.0-py3-none-any.whl", hash = "sha256:1054e8e47ebd686e078c0bb0eaf31e6ce69c966058d122f2c0c950311f9f3ede"},
-    {file = "black-26.1.0.tar.gz", hash = "sha256:d294ac3340eef9c9eb5d29288e96dc719ff269a88e27b396340459dd85da4c58"},
-]
-
-[package.dependencies]
-click = ">=8.0.0"
-mypy-extensions = ">=0.4.3"
-packaging = ">=22.0"
-pathspec = ">=1.0.0"
-platformdirs = ">=2"
-pytokens = ">=0.3.0"
-tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
-
-[package.extras]
-colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.10)"]
-jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
-uvloop = ["uvloop (>=0.15.2)"]
-
-[[package]]
-name = "bleach"
-version = "6.3.0"
-description = "An easy safelist-based HTML-sanitizing tool."
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-files = [
-    {file = "bleach-6.3.0-py3-none-any.whl", hash = "sha256:fe10ec77c93ddf3d13a73b035abaac7a9f5e436513864ccdad516693213c65d6"},
-    {file = "bleach-6.3.0.tar.gz", hash = "sha256:6f3b91b1c0a02bb9a78b5a454c92506aa0fdf197e1d5e114d2e00c6f64306d22"},
-]
-
-[package.dependencies]
-tinycss2 = {version = ">=1.1.0,<1.5", optional = true, markers = "extra == \"css\""}
-webencodings = "*"
-
-[package.extras]
-css = ["tinycss2 (>=1.1.0,<1.5)"]
-
-[[package]]
-name = "bracex"
-version = "2.6"
-description = "Bash style brace expander."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "bracex-2.6-py3-none-any.whl", hash = "sha256:0b0049264e7340b3ec782b5cb99beb325f36c3782a32e36e876452fd49a09952"},
-    {file = "bracex-2.6.tar.gz", hash = "sha256:98f1347cd77e22ee8d967a30ad4e310b233f7754dbf31ff3fceb76145ba47dc7"},
-]
-
-[[package]]
-name = "certifi"
-version = "2026.1.4"
-description = "Python package for providing Mozilla's CA Bundle."
-optional = false
-python-versions = ">=3.7"
-groups = ["main", "dev"]
-files = [
-    {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"},
-    {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"},
-]
-
-[[package]]
-name = "cffi"
-version = "2.0.0"
-description = "Foreign Function Interface for Python calling C code."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44"},
-    {file = "cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49"},
-    {file = "cffi-2.0.0-cp310-cp310-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:53f77cbe57044e88bbd5ed26ac1d0514d2acf0591dd6bb02a3ae37f76811b80c"},
-    {file = "cffi-2.0.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3e837e369566884707ddaf85fc1744b47575005c0a229de3327f8f9a20f4efeb"},
-    {file = "cffi-2.0.0-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:5eda85d6d1879e692d546a078b44251cdd08dd1cfb98dfb77b670c97cee49ea0"},
-    {file = "cffi-2.0.0-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:9332088d75dc3241c702d852d4671613136d90fa6881da7d770a483fd05248b4"},
-    {file = "cffi-2.0.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fc7de24befaeae77ba923797c7c87834c73648a05a4bde34b3b7e5588973a453"},
-    {file = "cffi-2.0.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cf364028c016c03078a23b503f02058f1814320a56ad535686f90565636a9495"},
-    {file = "cffi-2.0.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e11e82b744887154b182fd3e7e8512418446501191994dbf9c9fc1f32cc8efd5"},
-    {file = "cffi-2.0.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8ea985900c5c95ce9db1745f7933eeef5d314f0565b27625d9a10ec9881e1bfb"},
-    {file = "cffi-2.0.0-cp310-cp310-win32.whl", hash = "sha256:1f72fb8906754ac8a2cc3f9f5aaa298070652a0ffae577e0ea9bd480dc3c931a"},
-    {file = "cffi-2.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:b18a3ed7d5b3bd8d9ef7a8cb226502c6bf8308df1525e1cc676c3680e7176739"},
-    {file = "cffi-2.0.0-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:b4c854ef3adc177950a8dfc81a86f5115d2abd545751a304c5bcf2c2c7283cfe"},
-    {file = "cffi-2.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2de9a304e27f7596cd03d16f1b7c72219bd944e99cc52b84d0145aefb07cbd3c"},
-    {file = "cffi-2.0.0-cp311-cp311-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:baf5215e0ab74c16e2dd324e8ec067ef59e41125d3eade2b863d294fd5035c92"},
-    {file = "cffi-2.0.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:730cacb21e1bdff3ce90babf007d0a0917cc3e6492f336c2f0134101e0944f93"},
-    {file = "cffi-2.0.0-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:6824f87845e3396029f3820c206e459ccc91760e8fa24422f8b0c3d1731cbec5"},
-    {file = "cffi-2.0.0-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:9de40a7b0323d889cf8d23d1ef214f565ab154443c42737dfe52ff82cf857664"},
-    {file = "cffi-2.0.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8941aaadaf67246224cee8c3803777eed332a19d909b47e29c9842ef1e79ac26"},
-    {file = "cffi-2.0.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a05d0c237b3349096d3981b727493e22147f934b20f6f125a3eba8f994bec4a9"},
-    {file = "cffi-2.0.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:94698a9c5f91f9d138526b48fe26a199609544591f859c870d477351dc7b2414"},
-    {file = "cffi-2.0.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:5fed36fccc0612a53f1d4d9a816b50a36702c28a2aa880cb8a122b3466638743"},
-    {file = "cffi-2.0.0-cp311-cp311-win32.whl", hash = "sha256:c649e3a33450ec82378822b3dad03cc228b8f5963c0c12fc3b1e0ab940f768a5"},
-    {file = "cffi-2.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:66f011380d0e49ed280c789fbd08ff0d40968ee7b665575489afa95c98196ab5"},
-    {file = "cffi-2.0.0-cp311-cp311-win_arm64.whl", hash = "sha256:c6638687455baf640e37344fe26d37c404db8b80d037c3d29f58fe8d1c3b194d"},
-    {file = "cffi-2.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6d02d6655b0e54f54c4ef0b94eb6be0607b70853c45ce98bd278dc7de718be5d"},
-    {file = "cffi-2.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8eca2a813c1cb7ad4fb74d368c2ffbbb4789d377ee5bb8df98373c2cc0dee76c"},
-    {file = "cffi-2.0.0-cp312-cp312-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:21d1152871b019407d8ac3985f6775c079416c282e431a4da6afe7aefd2bccbe"},
-    {file = "cffi-2.0.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b21e08af67b8a103c71a250401c78d5e0893beff75e28c53c98f4de42f774062"},
-    {file = "cffi-2.0.0-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:1e3a615586f05fc4065a8b22b8152f0c1b00cdbc60596d187c2a74f9e3036e4e"},
-    {file = "cffi-2.0.0-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:81afed14892743bbe14dacb9e36d9e0e504cd204e0b165062c488942b9718037"},
-    {file = "cffi-2.0.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3e17ed538242334bf70832644a32a7aae3d83b57567f9fd60a26257e992b79ba"},
-    {file = "cffi-2.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:3925dd22fa2b7699ed2617149842d2e6adde22b262fcbfada50e3d195e4b3a94"},
-    {file = "cffi-2.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2c8f814d84194c9ea681642fd164267891702542f028a15fc97d4674b6206187"},
-    {file = "cffi-2.0.0-cp312-cp312-win32.whl", hash = "sha256:da902562c3e9c550df360bfa53c035b2f241fed6d9aef119048073680ace4a18"},
-    {file = "cffi-2.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:da68248800ad6320861f129cd9c1bf96ca849a2771a59e0344e88681905916f5"},
-    {file = "cffi-2.0.0-cp312-cp312-win_arm64.whl", hash = "sha256:4671d9dd5ec934cb9a73e7ee9676f9362aba54f7f34910956b84d727b0d73fb6"},
-    {file = "cffi-2.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:00bdf7acc5f795150faa6957054fbbca2439db2f775ce831222b66f192f03beb"},
-    {file = "cffi-2.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:45d5e886156860dc35862657e1494b9bae8dfa63bf56796f2fb56e1679fc0bca"},
-    {file = "cffi-2.0.0-cp313-cp313-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:07b271772c100085dd28b74fa0cd81c8fb1a3ba18b21e03d7c27f3436a10606b"},
-    {file = "cffi-2.0.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d48a880098c96020b02d5a1f7d9251308510ce8858940e6fa99ece33f610838b"},
-    {file = "cffi-2.0.0-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:f93fd8e5c8c0a4aa1f424d6173f14a892044054871c771f8566e4008eaa359d2"},
-    {file = "cffi-2.0.0-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:dd4f05f54a52fb558f1ba9f528228066954fee3ebe629fc1660d874d040ae5a3"},
-    {file = "cffi-2.0.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c8d3b5532fc71b7a77c09192b4a5a200ea992702734a2e9279a37f2478236f26"},
-    {file = "cffi-2.0.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:d9b29c1f0ae438d5ee9acb31cadee00a58c46cc9c0b2f9038c6b0b3470877a8c"},
-    {file = "cffi-2.0.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6d50360be4546678fc1b79ffe7a66265e28667840010348dd69a314145807a1b"},
-    {file = "cffi-2.0.0-cp313-cp313-win32.whl", hash = "sha256:74a03b9698e198d47562765773b4a8309919089150a0bb17d829ad7b44b60d27"},
-    {file = "cffi-2.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:19f705ada2530c1167abacb171925dd886168931e0a7b78f5bffcae5c6b5be75"},
-    {file = "cffi-2.0.0-cp313-cp313-win_arm64.whl", hash = "sha256:256f80b80ca3853f90c21b23ee78cd008713787b1b1e93eae9f3d6a7134abd91"},
-    {file = "cffi-2.0.0-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fc33c5141b55ed366cfaad382df24fe7dcbc686de5be719b207bb248e3053dc5"},
-    {file = "cffi-2.0.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c654de545946e0db659b3400168c9ad31b5d29593291482c43e3564effbcee13"},
-    {file = "cffi-2.0.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:24b6f81f1983e6df8db3adc38562c83f7d4a0c36162885ec7f7b77c7dcbec97b"},
-    {file = "cffi-2.0.0-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:12873ca6cb9b0f0d3a0da705d6086fe911591737a59f28b7936bdfed27c0d47c"},
-    {file = "cffi-2.0.0-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:d9b97165e8aed9272a6bb17c01e3cc5871a594a446ebedc996e2397a1c1ea8ef"},
-    {file = "cffi-2.0.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:afb8db5439b81cf9c9d0c80404b60c3cc9c3add93e114dcae767f1477cb53775"},
-    {file = "cffi-2.0.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:737fe7d37e1a1bffe70bd5754ea763a62a066dc5913ca57e957824b72a85e205"},
-    {file = "cffi-2.0.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:38100abb9d1b1435bc4cc340bb4489635dc2f0da7456590877030c9b3d40b0c1"},
-    {file = "cffi-2.0.0-cp314-cp314-win32.whl", hash = "sha256:087067fa8953339c723661eda6b54bc98c5625757ea62e95eb4898ad5e776e9f"},
-    {file = "cffi-2.0.0-cp314-cp314-win_amd64.whl", hash = "sha256:203a48d1fb583fc7d78a4c6655692963b860a417c0528492a6bc21f1aaefab25"},
-    {file = "cffi-2.0.0-cp314-cp314-win_arm64.whl", hash = "sha256:dbd5c7a25a7cb98f5ca55d258b103a2054f859a46ae11aaf23134f9cc0d356ad"},
-    {file = "cffi-2.0.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:9a67fc9e8eb39039280526379fb3a70023d77caec1852002b4da7e8b270c4dd9"},
-    {file = "cffi-2.0.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:7a66c7204d8869299919db4d5069a82f1561581af12b11b3c9f48c584eb8743d"},
-    {file = "cffi-2.0.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:7cc09976e8b56f8cebd752f7113ad07752461f48a58cbba644139015ac24954c"},
-    {file = "cffi-2.0.0-cp314-cp314t-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:92b68146a71df78564e4ef48af17551a5ddd142e5190cdf2c5624d0c3ff5b2e8"},
-    {file = "cffi-2.0.0-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:b1e74d11748e7e98e2f426ab176d4ed720a64412b6a15054378afdb71e0f37dc"},
-    {file = "cffi-2.0.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:28a3a209b96630bca57cce802da70c266eb08c6e97e5afd61a75611ee6c64592"},
-    {file = "cffi-2.0.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:7553fb2090d71822f02c629afe6042c299edf91ba1bf94951165613553984512"},
-    {file = "cffi-2.0.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:6c6c373cfc5c83a975506110d17457138c8c63016b563cc9ed6e056a82f13ce4"},
-    {file = "cffi-2.0.0-cp314-cp314t-win32.whl", hash = "sha256:1fc9ea04857caf665289b7a75923f2c6ed559b8298a1b8c49e59f7dd95c8481e"},
-    {file = "cffi-2.0.0-cp314-cp314t-win_amd64.whl", hash = "sha256:d68b6cef7827e8641e8ef16f4494edda8b36104d79773a334beaa1e3521430f6"},
-    {file = "cffi-2.0.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0a1527a803f0a659de1af2e1fd700213caba79377e27e4693648c2923da066f9"},
-    {file = "cffi-2.0.0-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:fe562eb1a64e67dd297ccc4f5addea2501664954f2692b69a76449ec7913ecbf"},
-    {file = "cffi-2.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:de8dad4425a6ca6e4e5e297b27b5c824ecc7581910bf9aee86cb6835e6812aa7"},
-    {file = "cffi-2.0.0-cp39-cp39-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:4647afc2f90d1ddd33441e5b0e85b16b12ddec4fca55f0d9671fef036ecca27c"},
-    {file = "cffi-2.0.0-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3f4d46d8b35698056ec29bca21546e1551a205058ae1a181d871e278b0b28165"},
-    {file = "cffi-2.0.0-cp39-cp39-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:e6e73b9e02893c764e7e8d5bb5ce277f1a009cd5243f8228f75f842bf937c534"},
-    {file = "cffi-2.0.0-cp39-cp39-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:cb527a79772e5ef98fb1d700678fe031e353e765d1ca2d409c92263c6d43e09f"},
-    {file = "cffi-2.0.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:61d028e90346df14fedc3d1e5441df818d095f3b87d286825dfcbd6459b7ef63"},
-    {file = "cffi-2.0.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:0f6084a0ea23d05d20c3edcda20c3d006f9b6f3fefeac38f59262e10cef47ee2"},
-    {file = "cffi-2.0.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:1cd13c99ce269b3ed80b417dcd591415d3372bcac067009b6e0f59c7d4015e65"},
-    {file = "cffi-2.0.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:89472c9762729b5ae1ad974b777416bfda4ac5642423fa93bd57a09204712322"},
-    {file = "cffi-2.0.0-cp39-cp39-win32.whl", hash = "sha256:2081580ebb843f759b9f617314a24ed5738c51d2aee65d31e02f6f7a2b97707a"},
-    {file = "cffi-2.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:b882b3df248017dba09d6b16defe9b5c407fe32fc7c65a9c69798e6175601be9"},
-    {file = "cffi-2.0.0.tar.gz", hash = "sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529"},
-]
-
-[package.dependencies]
-pycparser = {version = "*", markers = "implementation_name != \"PyPy\""}
-
-[[package]]
-name = "cftime"
-version = "1.6.5"
-description = "Time-handling functionality from netcdf4-python"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-files = [
-    {file = "cftime-1.6.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8ad81e8cb0eb873b33c3d1e22c6168163fdc64daa8f7aeb4da8092f272575f4d"},
-    {file = "cftime-1.6.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:12d95c6af852114a13301c5a61e41afdbd1542e72939c1083796f8418b9b8b0e"},
-    {file = "cftime-1.6.5-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2659b7df700e27d9e3671f686ce474dfb5fc274966961edf996acc148dfa094a"},
-    {file = "cftime-1.6.5-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:94cebdfcda6a985b8e69aed22d00d6b8aa1f421495adbdcff1d59b3e896d81e2"},
-    {file = "cftime-1.6.5-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:179681b023349a2fe277ceccc89d4fc52c0dd105cb59b7187b5bc5d442875133"},
-    {file = "cftime-1.6.5-cp310-cp310-win_amd64.whl", hash = "sha256:d8b9fdecb466879cfe8ca4472b229b6f8d0bb65e4ffd44266ae17484bac2cf38"},
-    {file = "cftime-1.6.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:474e728f5a387299418f8d7cb9c52248dcd5d977b2a01de7ec06bba572e26b02"},
-    {file = "cftime-1.6.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ab9e80d4de815cac2e2d88a2335231254980e545d0196eb34ee8f7ed612645f1"},
-    {file = "cftime-1.6.5-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ad24a563784e4795cb3d04bd985895b5db49ace2cbb71fcf1321fd80141f9a52"},
-    {file = "cftime-1.6.5-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a3cda6fd12c7fb25eff40a6a857a2bf4d03e8cc71f80485d8ddc65ccbd80f16a"},
-    {file = "cftime-1.6.5-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:28cda78d685397ba23d06273b9c916c3938d8d9e6872a537e76b8408a321369b"},
-    {file = "cftime-1.6.5-cp311-cp311-win_amd64.whl", hash = "sha256:93ead088e3a216bdeb9368733a0ef89a7451dfc1d2de310c1c0366a56ad60dc8"},
-    {file = "cftime-1.6.5-cp311-cp311-win_arm64.whl", hash = "sha256:3384d69a0a7f3d45bded21a8cbcce66c8ba06c13498eac26c2de41b1b9b6e890"},
-    {file = "cftime-1.6.5-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:eef25caed5ebd003a38719bd3ff8847cd52ef2ea56c3ebdb2c9345ba131fc7c5"},
-    {file = "cftime-1.6.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c87d2f3b949e45463e559233c69e6a9cf691b2b378c1f7556166adfabbd1c6b0"},
-    {file = "cftime-1.6.5-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:82cb413973cc51b55642b3a1ca5b28db5b93a294edbef7dc049c074b478b4647"},
-    {file = "cftime-1.6.5-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:85ba8e7356d239cfe56ef7707ac30feaf67964642ac760a82e507ee3c5db4ac4"},
-    {file = "cftime-1.6.5-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:456039af7907a3146689bb80bfd8edabd074c7f3b4eca61f91b9c2670addd7ad"},
-    {file = "cftime-1.6.5-cp312-cp312-win_amd64.whl", hash = "sha256:da84534c43699960dc980a9a765c33433c5de1a719a4916748c2d0e97a071e44"},
-    {file = "cftime-1.6.5-cp312-cp312-win_arm64.whl", hash = "sha256:c62cd8db9ea40131eea7d4523691c5d806d3265d31279e4a58574a42c28acd77"},
-    {file = "cftime-1.6.5-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:4aba66fd6497711a47c656f3a732c2d1755ad15f80e323c44a8716ebde39ddd5"},
-    {file = "cftime-1.6.5-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:89e7cba699242366e67d6fb5aee579440e791063f92a93853610c91647167c0d"},
-    {file = "cftime-1.6.5-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2f1eb43d7a7b919ec99aee709fb62ef87ef1cf0679829ef93d37cc1c725781e9"},
-    {file = "cftime-1.6.5-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e02a1d80ffc33fe469c7db68aa24c4a87f01da0c0c621373e5edadc92964900b"},
-    {file = "cftime-1.6.5-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:18ab754805233cdd889614b2b3b86a642f6d51a57a1ec327c48053f3414f87d8"},
-    {file = "cftime-1.6.5-cp313-cp313-win_amd64.whl", hash = "sha256:6c27add8f907f4a4cd400e89438f2ea33e2eb5072541a157a4d013b7dbe93f9c"},
-    {file = "cftime-1.6.5-cp313-cp313-win_arm64.whl", hash = "sha256:31d1ff8f6bbd4ca209099d24459ec16dea4fb4c9ab740fbb66dd057ccbd9b1b9"},
-    {file = "cftime-1.6.5-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:c69ce3bdae6a322cbb44e9ebc20770d47748002fb9d68846a1e934f1bd5daf0b"},
-    {file = "cftime-1.6.5-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:e62e9f2943e014c5ef583245bf2e878398af131c97e64f8cd47c1d7baef5c4e2"},
-    {file = "cftime-1.6.5-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:7da5fdaa4360d8cb89b71b8ded9314f2246aa34581e8105c94ad58d6102d9e4f"},
-    {file = "cftime-1.6.5-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bff865b4ea4304f2744a1ad2b8149b8328b321dd7a2b9746ef926d229bd7cd49"},
-    {file = "cftime-1.6.5-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:e552c5d1c8a58f25af7521e49237db7ca52ed2953e974fe9f7c4491e95fdd36c"},
-    {file = "cftime-1.6.5-cp314-cp314-win_amd64.whl", hash = "sha256:e645b095dc50a38ac454b7e7f0742f639e7d7f6b108ad329358544a6ff8c9ba2"},
-    {file = "cftime-1.6.5-cp314-cp314-win_arm64.whl", hash = "sha256:b9044d7ac82d3d8af189df1032fdc871bbd3f3dd41a6ec79edceb5029b71e6e0"},
-    {file = "cftime-1.6.5-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:9ef56460cb0576e1a9161e1428c9e1a633f809a23fa9d598f313748c1ae5064e"},
-    {file = "cftime-1.6.5-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:4f4873d38b10032f9f3111c547a1d485519ae64eee6a7a2d091f1f8b08e1ba50"},
-    {file = "cftime-1.6.5-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ccce0f4c9d3f38dd948a117e578b50d0e0db11e2ca9435fb358fd524813e4b61"},
-    {file = "cftime-1.6.5-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:19cbfc5152fb0b34ce03acf9668229af388d7baa63a78f936239cb011ccbe6b1"},
-    {file = "cftime-1.6.5-cp314-cp314t-win_amd64.whl", hash = "sha256:4470cd5ef3c2514566f53efbcbb64dd924fa0584637d90285b2f983bd4ee7d97"},
-    {file = "cftime-1.6.5-cp314-cp314t-win_arm64.whl", hash = "sha256:034c15a67144a0a5590ef150c99f844897618b148b87131ed34fda7072614662"},
-    {file = "cftime-1.6.5.tar.gz", hash = "sha256:8225fed6b9b43fb87683ebab52130450fc1730011150d3092096a90e54d1e81e"},
-]
-
-[package.dependencies]
-numpy = ">=1.21.2"
-
-[[package]]
-name = "charset-normalizer"
-version = "3.4.4"
-description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
-optional = false
-python-versions = ">=3.7"
-groups = ["main", "dev"]
-files = [
-    {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"},
-    {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"},
-    {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:027f6de494925c0ab2a55eab46ae5129951638a49a34d87f4c3eda90f696b4ad"},
-    {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f820802628d2694cb7e56db99213f930856014862f3fd943d290ea8438d07ca8"},
-    {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:798d75d81754988d2565bff1b97ba5a44411867c0cf32b77a7e8f8d84796b10d"},
-    {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9d1bb833febdff5c8927f922386db610b49db6e0d4f4ee29601d71e7c2694313"},
-    {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:9cd98cdc06614a2f768d2b7286d66805f94c48cde050acdbbb7db2600ab3197e"},
-    {file = "charset_normalizer-3.4.4-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:077fbb858e903c73f6c9db43374fd213b0b6a778106bc7032446a8e8b5b38b93"},
-    {file = "charset_normalizer-3.4.4-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:244bfb999c71b35de57821b8ea746b24e863398194a4014e4c76adc2bbdfeff0"},
-    {file = "charset_normalizer-3.4.4-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:64b55f9dce520635f018f907ff1b0df1fdc31f2795a922fb49dd14fbcdf48c84"},
-    {file = "charset_normalizer-3.4.4-cp310-cp310-musllinux_1_2_riscv64.whl", hash = "sha256:faa3a41b2b66b6e50f84ae4a68c64fcd0c44355741c6374813a800cd6695db9e"},
-    {file = "charset_normalizer-3.4.4-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:6515f3182dbe4ea06ced2d9e8666d97b46ef4c75e326b79bb624110f122551db"},
-    {file = "charset_normalizer-3.4.4-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:cc00f04ed596e9dc0da42ed17ac5e596c6ccba999ba6bd92b0e0aef2f170f2d6"},
-    {file = "charset_normalizer-3.4.4-cp310-cp310-win32.whl", hash = "sha256:f34be2938726fc13801220747472850852fe6b1ea75869a048d6f896838c896f"},
-    {file = "charset_normalizer-3.4.4-cp310-cp310-win_amd64.whl", hash = "sha256:a61900df84c667873b292c3de315a786dd8dac506704dea57bc957bd31e22c7d"},
-    {file = "charset_normalizer-3.4.4-cp310-cp310-win_arm64.whl", hash = "sha256:cead0978fc57397645f12578bfd2d5ea9138ea0fac82b2f63f7f7c6877986a69"},
-    {file = "charset_normalizer-3.4.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6e1fcf0720908f200cd21aa4e6750a48ff6ce4afe7ff5a79a90d5ed8a08296f8"},
-    {file = "charset_normalizer-3.4.4-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5f819d5fe9234f9f82d75bdfa9aef3a3d72c4d24a6e57aeaebba32a704553aa0"},
-    {file = "charset_normalizer-3.4.4-cp311-cp311-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:a59cb51917aa591b1c4e6a43c132f0cdc3c76dbad6155df4e28ee626cc77a0a3"},
-    {file = "charset_normalizer-3.4.4-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:8ef3c867360f88ac904fd3f5e1f902f13307af9052646963ee08ff4f131adafc"},
-    {file = "charset_normalizer-3.4.4-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d9e45d7faa48ee908174d8fe84854479ef838fc6a705c9315372eacbc2f02897"},
-    {file = "charset_normalizer-3.4.4-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:840c25fb618a231545cbab0564a799f101b63b9901f2569faecd6b222ac72381"},
-    {file = "charset_normalizer-3.4.4-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:ca5862d5b3928c4940729dacc329aa9102900382fea192fc5e52eb69d6093815"},
-    {file = "charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d9c7f57c3d666a53421049053eaacdd14bbd0a528e2186fcb2e672effd053bb0"},
-    {file = "charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:277e970e750505ed74c832b4bf75dac7476262ee2a013f5574dd49075879e161"},
-    {file = "charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:31fd66405eaf47bb62e8cd575dc621c56c668f27d46a61d975a249930dd5e2a4"},
-    {file = "charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:0d3d8f15c07f86e9ff82319b3d9ef6f4bf907608f53fe9d92b28ea9ae3d1fd89"},
-    {file = "charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:9f7fcd74d410a36883701fafa2482a6af2ff5ba96b9a620e9e0721e28ead5569"},
-    {file = "charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ebf3e58c7ec8a8bed6d66a75d7fb37b55e5015b03ceae72a8e7c74495551e224"},
-    {file = "charset_normalizer-3.4.4-cp311-cp311-win32.whl", hash = "sha256:eecbc200c7fd5ddb9a7f16c7decb07b566c29fa2161a16cf67b8d068bd21690a"},
-    {file = "charset_normalizer-3.4.4-cp311-cp311-win_amd64.whl", hash = "sha256:5ae497466c7901d54b639cf42d5b8c1b6a4fead55215500d2f486d34db48d016"},
-    {file = "charset_normalizer-3.4.4-cp311-cp311-win_arm64.whl", hash = "sha256:65e2befcd84bc6f37095f5961e68a6f077bf44946771354a28ad434c2cce0ae1"},
-    {file = "charset_normalizer-3.4.4-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:0a98e6759f854bd25a58a73fa88833fba3b7c491169f86ce1180c948ab3fd394"},
-    {file = "charset_normalizer-3.4.4-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b5b290ccc2a263e8d185130284f8501e3e36c5e02750fc6b6bdeb2e9e96f1e25"},
-    {file = "charset_normalizer-3.4.4-cp312-cp312-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:74bb723680f9f7a6234dcf67aea57e708ec1fbdf5699fb91dfd6f511b0a320ef"},
-    {file = "charset_normalizer-3.4.4-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f1e34719c6ed0b92f418c7c780480b26b5d9c50349e9a9af7d76bf757530350d"},
-    {file = "charset_normalizer-3.4.4-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:2437418e20515acec67d86e12bf70056a33abdacb5cb1655042f6538d6b085a8"},
-    {file = "charset_normalizer-3.4.4-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:11d694519d7f29d6cd09f6ac70028dba10f92f6cdd059096db198c283794ac86"},
-    {file = "charset_normalizer-3.4.4-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:ac1c4a689edcc530fc9d9aa11f5774b9e2f33f9a0c6a57864e90908f5208d30a"},
-    {file = "charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:21d142cc6c0ec30d2efee5068ca36c128a30b0f2c53c1c07bd78cb6bc1d3be5f"},
-    {file = "charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:5dbe56a36425d26d6cfb40ce79c314a2e4dd6211d51d6d2191c00bed34f354cc"},
-    {file = "charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:5bfbb1b9acf3334612667b61bd3002196fe2a1eb4dd74d247e0f2a4d50ec9bbf"},
-    {file = "charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:d055ec1e26e441f6187acf818b73564e6e6282709e9bcb5b63f5b23068356a15"},
-    {file = "charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:af2d8c67d8e573d6de5bc30cdb27e9b95e49115cd9baad5ddbd1a6207aaa82a9"},
-    {file = "charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:780236ac706e66881f3b7f2f32dfe90507a09e67d1d454c762cf642e6e1586e0"},
-    {file = "charset_normalizer-3.4.4-cp312-cp312-win32.whl", hash = "sha256:5833d2c39d8896e4e19b689ffc198f08ea58116bee26dea51e362ecc7cd3ed26"},
-    {file = "charset_normalizer-3.4.4-cp312-cp312-win_amd64.whl", hash = "sha256:a79cfe37875f822425b89a82333404539ae63dbdddf97f84dcbc3d339aae9525"},
-    {file = "charset_normalizer-3.4.4-cp312-cp312-win_arm64.whl", hash = "sha256:376bec83a63b8021bb5c8ea75e21c4ccb86e7e45ca4eb81146091b56599b80c3"},
-    {file = "charset_normalizer-3.4.4-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:e1f185f86a6f3403aa2420e815904c67b2f9ebc443f045edd0de921108345794"},
-    {file = "charset_normalizer-3.4.4-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6b39f987ae8ccdf0d2642338faf2abb1862340facc796048b604ef14919e55ed"},
-    {file = "charset_normalizer-3.4.4-cp313-cp313-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:3162d5d8ce1bb98dd51af660f2121c55d0fa541b46dff7bb9b9f86ea1d87de72"},
-    {file = "charset_normalizer-3.4.4-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:81d5eb2a312700f4ecaa977a8235b634ce853200e828fbadf3a9c50bab278328"},
-    {file = "charset_normalizer-3.4.4-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5bd2293095d766545ec1a8f612559f6b40abc0eb18bb2f5d1171872d34036ede"},
-    {file = "charset_normalizer-3.4.4-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a8a8b89589086a25749f471e6a900d3f662d1d3b6e2e59dcecf787b1cc3a1894"},
-    {file = "charset_normalizer-3.4.4-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:bc7637e2f80d8530ee4a78e878bce464f70087ce73cf7c1caf142416923b98f1"},
-    {file = "charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:f8bf04158c6b607d747e93949aa60618b61312fe647a6369f88ce2ff16043490"},
-    {file = "charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:554af85e960429cf30784dd47447d5125aaa3b99a6f0683589dbd27e2f45da44"},
-    {file = "charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:74018750915ee7ad843a774364e13a3db91682f26142baddf775342c3f5b1133"},
-    {file = "charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:c0463276121fdee9c49b98908b3a89c39be45d86d1dbaa22957e38f6321d4ce3"},
-    {file = "charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:362d61fd13843997c1c446760ef36f240cf81d3ebf74ac62652aebaf7838561e"},
-    {file = "charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:9a26f18905b8dd5d685d6d07b0cdf98a79f3c7a918906af7cc143ea2e164c8bc"},
-    {file = "charset_normalizer-3.4.4-cp313-cp313-win32.whl", hash = "sha256:9b35f4c90079ff2e2edc5b26c0c77925e5d2d255c42c74fdb70fb49b172726ac"},
-    {file = "charset_normalizer-3.4.4-cp313-cp313-win_amd64.whl", hash = "sha256:b435cba5f4f750aa6c0a0d92c541fb79f69a387c91e61f1795227e4ed9cece14"},
-    {file = "charset_normalizer-3.4.4-cp313-cp313-win_arm64.whl", hash = "sha256:542d2cee80be6f80247095cc36c418f7bddd14f4a6de45af91dfad36d817bba2"},
-    {file = "charset_normalizer-3.4.4-cp314-cp314-macosx_10_13_universal2.whl", hash = "sha256:da3326d9e65ef63a817ecbcc0df6e94463713b754fe293eaa03da99befb9a5bd"},
-    {file = "charset_normalizer-3.4.4-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8af65f14dc14a79b924524b1e7fffe304517b2bff5a58bf64f30b98bbc5079eb"},
-    {file = "charset_normalizer-3.4.4-cp314-cp314-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:74664978bb272435107de04e36db5a9735e78232b85b77d45cfb38f758efd33e"},
-    {file = "charset_normalizer-3.4.4-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:752944c7ffbfdd10c074dc58ec2d5a8a4cd9493b314d367c14d24c17684ddd14"},
-    {file = "charset_normalizer-3.4.4-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d1f13550535ad8cff21b8d757a3257963e951d96e20ec82ab44bc64aeb62a191"},
-    {file = "charset_normalizer-3.4.4-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ecaae4149d99b1c9e7b88bb03e3221956f68fd6d50be2ef061b2381b61d20838"},
-    {file = "charset_normalizer-3.4.4-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:cb6254dc36b47a990e59e1068afacdcd02958bdcce30bb50cc1700a8b9d624a6"},
-    {file = "charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c8ae8a0f02f57a6e61203a31428fa1d677cbe50c93622b4149d5c0f319c1d19e"},
-    {file = "charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_armv7l.whl", hash = "sha256:47cc91b2f4dd2833fddaedd2893006b0106129d4b94fdb6af1f4ce5a9965577c"},
-    {file = "charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:82004af6c302b5d3ab2cfc4cc5f29db16123b1a8417f2e25f9066f91d4411090"},
-    {file = "charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:2b7d8f6c26245217bd2ad053761201e9f9680f8ce52f0fcd8d0755aeae5b2152"},
-    {file = "charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:799a7a5e4fb2d5898c60b640fd4981d6a25f1c11790935a44ce38c54e985f828"},
-    {file = "charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:99ae2cffebb06e6c22bdc25801d7b30f503cc87dbd283479e7b606f70aff57ec"},
-    {file = "charset_normalizer-3.4.4-cp314-cp314-win32.whl", hash = "sha256:f9d332f8c2a2fcbffe1378594431458ddbef721c1769d78e2cbc06280d8155f9"},
-    {file = "charset_normalizer-3.4.4-cp314-cp314-win_amd64.whl", hash = "sha256:8a6562c3700cce886c5be75ade4a5db4214fda19fede41d9792d100288d8f94c"},
-    {file = "charset_normalizer-3.4.4-cp314-cp314-win_arm64.whl", hash = "sha256:de00632ca48df9daf77a2c65a484531649261ec9f25489917f09e455cb09ddb2"},
-    {file = "charset_normalizer-3.4.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:ce8a0633f41a967713a59c4139d29110c07e826d131a316b50ce11b1d79b4f84"},
-    {file = "charset_normalizer-3.4.4-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:eaabd426fe94daf8fd157c32e571c85cb12e66692f15516a83a03264b08d06c3"},
-    {file = "charset_normalizer-3.4.4-cp38-cp38-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:c4ef880e27901b6cc782f1b95f82da9313c0eb95c3af699103088fa0ac3ce9ac"},
-    {file = "charset_normalizer-3.4.4-cp38-cp38-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:2aaba3b0819274cc41757a1da876f810a3e4d7b6eb25699253a4effef9e8e4af"},
-    {file = "charset_normalizer-3.4.4-cp38-cp38-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:778d2e08eda00f4256d7f672ca9fef386071c9202f5e4607920b86d7803387f2"},
-    {file = "charset_normalizer-3.4.4-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f155a433c2ec037d4e8df17d18922c3a0d9b3232a396690f17175d2946f0218d"},
-    {file = "charset_normalizer-3.4.4-cp38-cp38-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:a8bf8d0f749c5757af2142fe7903a9df1d2e8aa3841559b2bad34b08d0e2bcf3"},
-    {file = "charset_normalizer-3.4.4-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:194f08cbb32dc406d6e1aea671a68be0823673db2832b38405deba2fb0d88f63"},
-    {file = "charset_normalizer-3.4.4-cp38-cp38-musllinux_1_2_armv7l.whl", hash = "sha256:6aee717dcfead04c6eb1ce3bd29ac1e22663cdea57f943c87d1eab9a025438d7"},
-    {file = "charset_normalizer-3.4.4-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:cd4b7ca9984e5e7985c12bc60a6f173f3c958eae74f3ef6624bb6b26e2abbae4"},
-    {file = "charset_normalizer-3.4.4-cp38-cp38-musllinux_1_2_riscv64.whl", hash = "sha256:b7cf1017d601aa35e6bb650b6ad28652c9cd78ee6caff19f3c28d03e1c80acbf"},
-    {file = "charset_normalizer-3.4.4-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:e912091979546adf63357d7e2ccff9b44f026c075aeaf25a52d0e95ad2281074"},
-    {file = "charset_normalizer-3.4.4-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:5cb4d72eea50c8868f5288b7f7f33ed276118325c1dfd3957089f6b519e1382a"},
-    {file = "charset_normalizer-3.4.4-cp38-cp38-win32.whl", hash = "sha256:837c2ce8c5a65a2035be9b3569c684358dfbf109fd3b6969630a87535495ceaa"},
-    {file = "charset_normalizer-3.4.4-cp38-cp38-win_amd64.whl", hash = "sha256:44c2a8734b333e0578090c4cd6b16f275e07aa6614ca8715e6c038e865e70576"},
-    {file = "charset_normalizer-3.4.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:a9768c477b9d7bd54bc0c86dbaebdec6f03306675526c9927c0e8a04e8f94af9"},
-    {file = "charset_normalizer-3.4.4-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1bee1e43c28aa63cb16e5c14e582580546b08e535299b8b6158a7c9c768a1f3d"},
-    {file = "charset_normalizer-3.4.4-cp39-cp39-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:fd44c878ea55ba351104cb93cc85e74916eb8fa440ca7903e57575e97394f608"},
-    {file = "charset_normalizer-3.4.4-cp39-cp39-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:0f04b14ffe5fdc8c4933862d8306109a2c51e0704acfa35d51598eb45a1e89fc"},
-    {file = "charset_normalizer-3.4.4-cp39-cp39-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:cd09d08005f958f370f539f186d10aec3377d55b9eeb0d796025d4886119d76e"},
-    {file = "charset_normalizer-3.4.4-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4fe7859a4e3e8457458e2ff592f15ccb02f3da787fcd31e0183879c3ad4692a1"},
-    {file = "charset_normalizer-3.4.4-cp39-cp39-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:fa09f53c465e532f4d3db095e0c55b615f010ad81803d383195b6b5ca6cbf5f3"},
-    {file = "charset_normalizer-3.4.4-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:7fa17817dc5625de8a027cb8b26d9fefa3ea28c8253929b8d6649e705d2835b6"},
-    {file = "charset_normalizer-3.4.4-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:5947809c8a2417be3267efc979c47d76a079758166f7d43ef5ae8e9f92751f88"},
-    {file = "charset_normalizer-3.4.4-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:4902828217069c3c5c71094537a8e623f5d097858ac6ca8252f7b4d10b7560f1"},
-    {file = "charset_normalizer-3.4.4-cp39-cp39-musllinux_1_2_riscv64.whl", hash = "sha256:7c308f7e26e4363d79df40ca5b2be1c6ba9f02bdbccfed5abddb7859a6ce72cf"},
-    {file = "charset_normalizer-3.4.4-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:2c9d3c380143a1fedbff95a312aa798578371eb29da42106a29019368a475318"},
-    {file = "charset_normalizer-3.4.4-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:cb01158d8b88ee68f15949894ccc6712278243d95f344770fa7593fa2d94410c"},
-    {file = "charset_normalizer-3.4.4-cp39-cp39-win32.whl", hash = "sha256:2677acec1a2f8ef614c6888b5b4ae4060cc184174a938ed4e8ef690e15d3e505"},
-    {file = "charset_normalizer-3.4.4-cp39-cp39-win_amd64.whl", hash = "sha256:f8e160feb2aed042cd657a72acc0b481212ed28b1b9a95c0cee1621b524e1966"},
-    {file = "charset_normalizer-3.4.4-cp39-cp39-win_arm64.whl", hash = "sha256:b5d84d37db046c5ca74ee7bb47dd6cbc13f80665fdde3e8040bdd3fb015ecb50"},
-    {file = "charset_normalizer-3.4.4-py3-none-any.whl", hash = "sha256:7a32c560861a02ff789ad905a2fe94e3f840803362c84fecf1851cb4cf3dc37f"},
-    {file = "charset_normalizer-3.4.4.tar.gz", hash = "sha256:94537985111c35f28720e43603b8e7b43a6ecfb2ce1d3058bbe955b73404e21a"},
-]
-
-[[package]]
-name = "click"
-version = "8.3.1"
-description = "Composable command line interface toolkit"
-optional = false
-python-versions = ">=3.10"
-groups = ["main", "dev", "shiny"]
-files = [
-    {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"},
-    {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"},
-]
-markers = {shiny = "platform_system != \"Emscripten\""}
-
-[package.dependencies]
-colorama = {version = "*", markers = "platform_system == \"Windows\""}
-
-[[package]]
-name = "cloudpickle"
-version = "3.1.2"
-description = "Pickler class to extend the standard pickle.Pickler functionality"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev-benchmark"]
-files = [
-    {file = "cloudpickle-3.1.2-py3-none-any.whl", hash = "sha256:9acb47f6afd73f60dc1df93bb801b472f05ff42fa6c84167d25cb206be1fbf4a"},
-    {file = "cloudpickle-3.1.2.tar.gz", hash = "sha256:7fda9eb655c9c230dab534f1983763de5835249750e85fbcef43aaa30a9a2414"},
-]
-
-[[package]]
-name = "colorama"
-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", "dev", "shiny"]
-files = [
-    {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
-    {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
-]
-markers = {shiny = "platform_system == \"Windows\""}
-
-[[package]]
-name = "comm"
-version = "0.2.3"
-description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "comm-0.2.3-py3-none-any.whl", hash = "sha256:c615d91d75f7f04f095b30d1c1711babd43bdc6419c1be9886a85f2f4e489417"},
-    {file = "comm-0.2.3.tar.gz", hash = "sha256:2dc8048c10962d55d7ad693be1e7045d891b7ce8d999c97963a5e3e99c055971"},
-]
-
-[package.extras]
-test = ["pytest"]
-
-[[package]]
-name = "contourpy"
-version = "1.3.2"
-description = "Python library for calculating contours of 2D quadrilateral grids"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934"},
-    {file = "contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989"},
-    {file = "contourpy-1.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9be002b31c558d1ddf1b9b415b162c603405414bacd6932d031c5b5a8b757f0d"},
-    {file = "contourpy-1.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8d2e74acbcba3bfdb6d9d8384cdc4f9260cae86ed9beee8bd5f54fee49a430b9"},
-    {file = "contourpy-1.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e259bced5549ac64410162adc973c5e2fb77f04df4a439d00b478e57a0e65512"},
-    {file = "contourpy-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad687a04bc802cbe8b9c399c07162a3c35e227e2daccf1668eb1f278cb698631"},
-    {file = "contourpy-1.3.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cdd22595308f53ef2f891040ab2b93d79192513ffccbd7fe19be7aa773a5e09f"},
-    {file = "contourpy-1.3.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b4f54d6a2defe9f257327b0f243612dd051cc43825587520b1bf74a31e2f6ef2"},
-    {file = "contourpy-1.3.2-cp310-cp310-win32.whl", hash = "sha256:f939a054192ddc596e031e50bb13b657ce318cf13d264f095ce9db7dc6ae81c0"},
-    {file = "contourpy-1.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:c440093bbc8fc21c637c03bafcbef95ccd963bc6e0514ad887932c18ca2a759a"},
-    {file = "contourpy-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6a37a2fb93d4df3fc4c0e363ea4d16f83195fc09c891bc8ce072b9d084853445"},
-    {file = "contourpy-1.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b7cd50c38f500bbcc9b6a46643a40e0913673f869315d8e70de0438817cb7773"},
-    {file = "contourpy-1.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6658ccc7251a4433eebd89ed2672c2ed96fba367fd25ca9512aa92a4b46c4f1"},
-    {file = "contourpy-1.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:70771a461aaeb335df14deb6c97439973d253ae70660ca085eec25241137ef43"},
-    {file = "contourpy-1.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65a887a6e8c4cd0897507d814b14c54a8c2e2aa4ac9f7686292f9769fcf9a6ab"},
-    {file = "contourpy-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3859783aefa2b8355697f16642695a5b9792e7a46ab86da1118a4a23a51a33d7"},
-    {file = "contourpy-1.3.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:eab0f6db315fa4d70f1d8ab514e527f0366ec021ff853d7ed6a2d33605cf4b83"},
-    {file = "contourpy-1.3.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d91a3ccc7fea94ca0acab82ceb77f396d50a1f67412efe4c526f5d20264e6ecd"},
-    {file = "contourpy-1.3.2-cp311-cp311-win32.whl", hash = "sha256:1c48188778d4d2f3d48e4643fb15d8608b1d01e4b4d6b0548d9b336c28fc9b6f"},
-    {file = "contourpy-1.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:5ebac872ba09cb8f2131c46b8739a7ff71de28a24c869bcad554477eb089a878"},
-    {file = "contourpy-1.3.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:4caf2bcd2969402bf77edc4cb6034c7dd7c0803213b3523f111eb7460a51b8d2"},
-    {file = "contourpy-1.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:82199cb78276249796419fe36b7386bd8d2cc3f28b3bc19fe2454fe2e26c4c15"},
-    {file = "contourpy-1.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:106fab697af11456fcba3e352ad50effe493a90f893fca6c2ca5c033820cea92"},
-    {file = "contourpy-1.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d14f12932a8d620e307f715857107b1d1845cc44fdb5da2bc8e850f5ceba9f87"},
-    {file = "contourpy-1.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:532fd26e715560721bb0d5fc7610fce279b3699b018600ab999d1be895b09415"},
-    {file = "contourpy-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f26b383144cf2d2c29f01a1e8170f50dacf0eac02d64139dcd709a8ac4eb3cfe"},
-    {file = "contourpy-1.3.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:c49f73e61f1f774650a55d221803b101d966ca0c5a2d6d5e4320ec3997489441"},
-    {file = "contourpy-1.3.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3d80b2c0300583228ac98d0a927a1ba6a2ba6b8a742463c564f1d419ee5b211e"},
-    {file = "contourpy-1.3.2-cp312-cp312-win32.whl", hash = "sha256:90df94c89a91b7362e1142cbee7568f86514412ab8a2c0d0fca72d7e91b62912"},
-    {file = "contourpy-1.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:8c942a01d9163e2e5cfb05cb66110121b8d07ad438a17f9e766317bcb62abf73"},
-    {file = "contourpy-1.3.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:de39db2604ae755316cb5967728f4bea92685884b1e767b7c24e983ef5f771cb"},
-    {file = "contourpy-1.3.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3f9e896f447c5c8618f1edb2bafa9a4030f22a575ec418ad70611450720b5b08"},
-    {file = "contourpy-1.3.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:71e2bd4a1c4188f5c2b8d274da78faab884b59df20df63c34f74aa1813c4427c"},
-    {file = "contourpy-1.3.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de425af81b6cea33101ae95ece1f696af39446db9682a0b56daaa48cfc29f38f"},
-    {file = "contourpy-1.3.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:977e98a0e0480d3fe292246417239d2d45435904afd6d7332d8455981c408b85"},
-    {file = "contourpy-1.3.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:434f0adf84911c924519d2b08fc10491dd282b20bdd3fa8f60fd816ea0b48841"},
-    {file = "contourpy-1.3.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c66c4906cdbc50e9cba65978823e6e00b45682eb09adbb78c9775b74eb222422"},
-    {file = "contourpy-1.3.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8b7fc0cd78ba2f4695fd0a6ad81a19e7e3ab825c31b577f384aa9d7817dc3bef"},
-    {file = "contourpy-1.3.2-cp313-cp313-win32.whl", hash = "sha256:15ce6ab60957ca74cff444fe66d9045c1fd3e92c8936894ebd1f3eef2fff075f"},
-    {file = "contourpy-1.3.2-cp313-cp313-win_amd64.whl", hash = "sha256:e1578f7eafce927b168752ed7e22646dad6cd9bca673c60bff55889fa236ebf9"},
-    {file = "contourpy-1.3.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0475b1f6604896bc7c53bb070e355e9321e1bc0d381735421a2d2068ec56531f"},
-    {file = "contourpy-1.3.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:c85bb486e9be652314bb5b9e2e3b0d1b2e643d5eec4992c0fbe8ac71775da739"},
-    {file = "contourpy-1.3.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:745b57db7758f3ffc05a10254edd3182a2a83402a89c00957a8e8a22f5582823"},
-    {file = "contourpy-1.3.2-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:970e9173dbd7eba9b4e01aab19215a48ee5dd3f43cef736eebde064a171f89a5"},
-    {file = "contourpy-1.3.2-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c6c4639a9c22230276b7bffb6a850dfc8258a2521305e1faefe804d006b2e532"},
-    {file = "contourpy-1.3.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cc829960f34ba36aad4302e78eabf3ef16a3a100863f0d4eeddf30e8a485a03b"},
-    {file = "contourpy-1.3.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:d32530b534e986374fc19eaa77fcb87e8a99e5431499949b828312bdcd20ac52"},
-    {file = "contourpy-1.3.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e298e7e70cf4eb179cc1077be1c725b5fd131ebc81181bf0c03525c8abc297fd"},
-    {file = "contourpy-1.3.2-cp313-cp313t-win32.whl", hash = "sha256:d0e589ae0d55204991450bb5c23f571c64fe43adaa53f93fc902a84c96f52fe1"},
-    {file = "contourpy-1.3.2-cp313-cp313t-win_amd64.whl", hash = "sha256:78e9253c3de756b3f6a5174d024c4835acd59eb3f8e2ca13e775dbffe1558f69"},
-    {file = "contourpy-1.3.2-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:fd93cc7f3139b6dd7aab2f26a90dde0aa9fc264dbf70f6740d498a70b860b82c"},
-    {file = "contourpy-1.3.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:107ba8a6a7eec58bb475329e6d3b95deba9440667c4d62b9b6063942b61d7f16"},
-    {file = "contourpy-1.3.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ded1706ed0c1049224531b81128efbd5084598f18d8a2d9efae833edbd2b40ad"},
-    {file = "contourpy-1.3.2-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:5f5964cdad279256c084b69c3f412b7801e15356b16efa9d78aa974041903da0"},
-    {file = "contourpy-1.3.2-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:49b65a95d642d4efa8f64ba12558fcb83407e58a2dfba9d796d77b63ccfcaff5"},
-    {file = "contourpy-1.3.2-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:8c5acb8dddb0752bf252e01a3035b21443158910ac16a3b0d20e7fed7d534ce5"},
-    {file = "contourpy-1.3.2.tar.gz", hash = "sha256:b6945942715a034c671b7fc54f9588126b0b8bf23db2696e3ca8328f3ff0ab54"},
-]
-
-[package.dependencies]
-numpy = ">=1.23"
-
-[package.extras]
-bokeh = ["bokeh", "selenium"]
-docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
-mypy = ["bokeh", "contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.15.0)", "types-Pillow"]
-test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
-test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"]
-
-[[package]]
-name = "contourpy"
-version = "1.3.3"
-description = "Python library for calculating contours of 2D quadrilateral grids"
-optional = false
-python-versions = ">=3.11"
-groups = ["main"]
-markers = "python_version >= \"3.11\""
-files = [
-    {file = "contourpy-1.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:709a48ef9a690e1343202916450bc48b9e51c049b089c7f79a267b46cffcdaa1"},
-    {file = "contourpy-1.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:23416f38bfd74d5d28ab8429cc4d63fa67d5068bd711a85edb1c3fb0c3e2f381"},
-    {file = "contourpy-1.3.3-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:929ddf8c4c7f348e4c0a5a3a714b5c8542ffaa8c22954862a46ca1813b667ee7"},
-    {file = "contourpy-1.3.3-cp311-cp311-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:9e999574eddae35f1312c2b4b717b7885d4edd6cb46700e04f7f02db454e67c1"},
-    {file = "contourpy-1.3.3-cp311-cp311-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:0bf67e0e3f482cb69779dd3061b534eb35ac9b17f163d851e2a547d56dba0a3a"},
-    {file = "contourpy-1.3.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:51e79c1f7470158e838808d4a996fa9bac72c498e93d8ebe5119bc1e6becb0db"},
-    {file = "contourpy-1.3.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:598c3aaece21c503615fd59c92a3598b428b2f01bfb4b8ca9c4edeecc2438620"},
-    {file = "contourpy-1.3.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:322ab1c99b008dad206d406bb61d014cf0174df491ae9d9d0fac6a6fda4f977f"},
-    {file = "contourpy-1.3.3-cp311-cp311-win32.whl", hash = "sha256:fd907ae12cd483cd83e414b12941c632a969171bf90fc937d0c9f268a31cafff"},
-    {file = "contourpy-1.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:3519428f6be58431c56581f1694ba8e50626f2dd550af225f82fb5f5814d2a42"},
-    {file = "contourpy-1.3.3-cp311-cp311-win_arm64.whl", hash = "sha256:15ff10bfada4bf92ec8b31c62bf7c1834c244019b4a33095a68000d7075df470"},
-    {file = "contourpy-1.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b08a32ea2f8e42cf1d4be3169a98dd4be32bafe4f22b6c4cb4ba810fa9e5d2cb"},
-    {file = "contourpy-1.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:556dba8fb6f5d8742f2923fe9457dbdd51e1049c4a43fd3986a0b14a1d815fc6"},
-    {file = "contourpy-1.3.3-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:92d9abc807cf7d0e047b95ca5d957cf4792fcd04e920ca70d48add15c1a90ea7"},
-    {file = "contourpy-1.3.3-cp312-cp312-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b2e8faa0ed68cb29af51edd8e24798bb661eac3bd9f65420c1887b6ca89987c8"},
-    {file = "contourpy-1.3.3-cp312-cp312-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:626d60935cf668e70a5ce6ff184fd713e9683fb458898e4249b63be9e28286ea"},
-    {file = "contourpy-1.3.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4d00e655fcef08aba35ec9610536bfe90267d7ab5ba944f7032549c55a146da1"},
-    {file = "contourpy-1.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:451e71b5a7d597379ef572de31eeb909a87246974d960049a9848c3bc6c41bf7"},
-    {file = "contourpy-1.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:459c1f020cd59fcfe6650180678a9993932d80d44ccde1fa1868977438f0b411"},
-    {file = "contourpy-1.3.3-cp312-cp312-win32.whl", hash = "sha256:023b44101dfe49d7d53932be418477dba359649246075c996866106da069af69"},
-    {file = "contourpy-1.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:8153b8bfc11e1e4d75bcb0bff1db232f9e10b274e0929de9d608027e0d34ff8b"},
-    {file = "contourpy-1.3.3-cp312-cp312-win_arm64.whl", hash = "sha256:07ce5ed73ecdc4a03ffe3e1b3e3c1166db35ae7584be76f65dbbe28a7791b0cc"},
-    {file = "contourpy-1.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:177fb367556747a686509d6fef71d221a4b198a3905fe824430e5ea0fda54eb5"},
-    {file = "contourpy-1.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d002b6f00d73d69333dac9d0b8d5e84d9724ff9ef044fd63c5986e62b7c9e1b1"},
-    {file = "contourpy-1.3.3-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:348ac1f5d4f1d66d3322420f01d42e43122f43616e0f194fc1c9f5d830c5b286"},
-    {file = "contourpy-1.3.3-cp313-cp313-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:655456777ff65c2c548b7c454af9c6f33f16c8884f11083244b5819cc214f1b5"},
-    {file = "contourpy-1.3.3-cp313-cp313-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:644a6853d15b2512d67881586bd03f462c7ab755db95f16f14d7e238f2852c67"},
-    {file = "contourpy-1.3.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4debd64f124ca62069f313a9cb86656ff087786016d76927ae2cf37846b006c9"},
-    {file = "contourpy-1.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a15459b0f4615b00bbd1e91f1b9e19b7e63aea7483d03d804186f278c0af2659"},
-    {file = "contourpy-1.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ca0fdcd73925568ca027e0b17ab07aad764be4706d0a925b89227e447d9737b7"},
-    {file = "contourpy-1.3.3-cp313-cp313-win32.whl", hash = "sha256:b20c7c9a3bf701366556e1b1984ed2d0cedf999903c51311417cf5f591d8c78d"},
-    {file = "contourpy-1.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:1cadd8b8969f060ba45ed7c1b714fe69185812ab43bd6b86a9123fe8f99c3263"},
-    {file = "contourpy-1.3.3-cp313-cp313-win_arm64.whl", hash = "sha256:fd914713266421b7536de2bfa8181aa8c699432b6763a0ea64195ebe28bff6a9"},
-    {file = "contourpy-1.3.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:88df9880d507169449d434c293467418b9f6cbe82edd19284aa0409e7fdb933d"},
-    {file = "contourpy-1.3.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:d06bb1f751ba5d417047db62bca3c8fde202b8c11fb50742ab3ab962c81e8216"},
-    {file = "contourpy-1.3.3-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e4e6b05a45525357e382909a4c1600444e2a45b4795163d3b22669285591c1ae"},
-    {file = "contourpy-1.3.3-cp313-cp313t-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ab3074b48c4e2cf1a960e6bbeb7f04566bf36b1861d5c9d4d8ac04b82e38ba20"},
-    {file = "contourpy-1.3.3-cp313-cp313t-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:6c3d53c796f8647d6deb1abe867daeb66dcc8a97e8455efa729516b997b8ed99"},
-    {file = "contourpy-1.3.3-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:50ed930df7289ff2a8d7afeb9603f8289e5704755c7e5c3bbd929c90c817164b"},
-    {file = "contourpy-1.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:4feffb6537d64b84877da813a5c30f1422ea5739566abf0bd18065ac040e120a"},
-    {file = "contourpy-1.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:2b7e9480ffe2b0cd2e787e4df64270e3a0440d9db8dc823312e2c940c167df7e"},
-    {file = "contourpy-1.3.3-cp313-cp313t-win32.whl", hash = "sha256:283edd842a01e3dcd435b1c5116798d661378d83d36d337b8dde1d16a5fc9ba3"},
-    {file = "contourpy-1.3.3-cp313-cp313t-win_amd64.whl", hash = "sha256:87acf5963fc2b34825e5b6b048f40e3635dd547f590b04d2ab317c2619ef7ae8"},
-    {file = "contourpy-1.3.3-cp313-cp313t-win_arm64.whl", hash = "sha256:3c30273eb2a55024ff31ba7d052dde990d7d8e5450f4bbb6e913558b3d6c2301"},
-    {file = "contourpy-1.3.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fde6c716d51c04b1c25d0b90364d0be954624a0ee9d60e23e850e8d48353d07a"},
-    {file = "contourpy-1.3.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:cbedb772ed74ff5be440fa8eee9bd49f64f6e3fc09436d9c7d8f1c287b121d77"},
-    {file = "contourpy-1.3.3-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:22e9b1bd7a9b1d652cd77388465dc358dafcd2e217d35552424aa4f996f524f5"},
-    {file = "contourpy-1.3.3-cp314-cp314-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a22738912262aa3e254e4f3cb079a95a67132fc5a063890e224393596902f5a4"},
-    {file = "contourpy-1.3.3-cp314-cp314-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:afe5a512f31ee6bd7d0dda52ec9864c984ca3d66664444f2d72e0dc4eb832e36"},
-    {file = "contourpy-1.3.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f64836de09927cba6f79dcd00fdd7d5329f3fccc633468507079c829ca4db4e3"},
-    {file = "contourpy-1.3.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:1fd43c3be4c8e5fd6e4f2baeae35ae18176cf2e5cced681cca908addf1cdd53b"},
-    {file = "contourpy-1.3.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6afc576f7b33cf00996e5c1102dc2a8f7cc89e39c0b55df93a0b78c1bd992b36"},
-    {file = "contourpy-1.3.3-cp314-cp314-win32.whl", hash = "sha256:66c8a43a4f7b8df8b71ee1840e4211a3c8d93b214b213f590e18a1beca458f7d"},
-    {file = "contourpy-1.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:cf9022ef053f2694e31d630feaacb21ea24224be1c3ad0520b13d844274614fd"},
-    {file = "contourpy-1.3.3-cp314-cp314-win_arm64.whl", hash = "sha256:95b181891b4c71de4bb404c6621e7e2390745f887f2a026b2d99e92c17892339"},
-    {file = "contourpy-1.3.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:33c82d0138c0a062380332c861387650c82e4cf1747aaa6938b9b6516762e772"},
-    {file = "contourpy-1.3.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:ea37e7b45949df430fe649e5de8351c423430046a2af20b1c1961cae3afcda77"},
-    {file = "contourpy-1.3.3-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d304906ecc71672e9c89e87c4675dc5c2645e1f4269a5063b99b0bb29f232d13"},
-    {file = "contourpy-1.3.3-cp314-cp314t-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ca658cd1a680a5c9ea96dc61cdbae1e85c8f25849843aa799dfd3cb370ad4fbe"},
-    {file = "contourpy-1.3.3-cp314-cp314t-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:ab2fd90904c503739a75b7c8c5c01160130ba67944a7b77bbf36ef8054576e7f"},
-    {file = "contourpy-1.3.3-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b7301b89040075c30e5768810bc96a8e8d78085b47d8be6e4c3f5a0b4ed478a0"},
-    {file = "contourpy-1.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:2a2a8b627d5cc6b7c41a4beff6c5ad5eb848c88255fda4a8745f7e901b32d8e4"},
-    {file = "contourpy-1.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:fd6ec6be509c787f1caf6b247f0b1ca598bef13f4ddeaa126b7658215529ba0f"},
-    {file = "contourpy-1.3.3-cp314-cp314t-win32.whl", hash = "sha256:e74a9a0f5e3fff48fb5a7f2fd2b9b70a3fe014a67522f79b7cca4c0c7e43c9ae"},
-    {file = "contourpy-1.3.3-cp314-cp314t-win_amd64.whl", hash = "sha256:13b68d6a62db8eafaebb8039218921399baf6e47bf85006fd8529f2a08ef33fc"},
-    {file = "contourpy-1.3.3-cp314-cp314t-win_arm64.whl", hash = "sha256:b7448cb5a725bb1e35ce88771b86fba35ef418952474492cf7c764059933ff8b"},
-    {file = "contourpy-1.3.3-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:cd5dfcaeb10f7b7f9dc8941717c6c2ade08f587be2226222c12b25f0483ed497"},
-    {file = "contourpy-1.3.3-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:0c1fc238306b35f246d61a1d416a627348b5cf0648648a031e14bb8705fcdfe8"},
-    {file = "contourpy-1.3.3-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:70f9aad7de812d6541d29d2bbf8feb22ff7e1c299523db288004e3157ff4674e"},
-    {file = "contourpy-1.3.3-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5ed3657edf08512fc3fe81b510e35c2012fbd3081d2e26160f27ca28affec989"},
-    {file = "contourpy-1.3.3-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:3d1a3799d62d45c18bafd41c5fa05120b96a28079f2393af559b843d1a966a77"},
-    {file = "contourpy-1.3.3.tar.gz", hash = "sha256:083e12155b210502d0bca491432bb04d56dc3432f95a979b429f2848c3dbe880"},
-]
-
-[package.dependencies]
-numpy = ">=1.25"
-
-[package.extras]
-bokeh = ["bokeh", "selenium"]
-docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
-mypy = ["bokeh", "contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.17.0)", "types-Pillow"]
-test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
-test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"]
-
-[[package]]
-name = "cuda-bindings"
-version = "12.9.4"
-description = "Python bindings for CUDA"
-optional = false
-python-versions = "*"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "cuda_bindings-12.9.4-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a022c96b8bd847e8dc0675523431149a4c3e872f440e3002213dbb9e08f0331a"},
-    {file = "cuda_bindings-12.9.4-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4d3c842c2a4303b2a580fe955018e31aea30278be19795ae05226235268032e5"},
-    {file = "cuda_bindings-12.9.4-cp310-cp310-win_amd64.whl", hash = "sha256:f69107389e6b9948969bfd0a20c4f571fd1aefcfb1d2e1b72cc8ba5ecb7918ab"},
-    {file = "cuda_bindings-12.9.4-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a6a429dc6c13148ff1e27c44f40a3dd23203823e637b87fd0854205195988306"},
-    {file = "cuda_bindings-12.9.4-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c912a3d9e6b6651853eed8eed96d6800d69c08e94052c292fec3f282c5a817c9"},
-    {file = "cuda_bindings-12.9.4-cp311-cp311-win_amd64.whl", hash = "sha256:443b0875916879c2e4c3722941e25e42d5ab9bcbf34c9e83404fb100fa1f6913"},
-    {file = "cuda_bindings-12.9.4-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:694ba35023846625ef471257e6b5a4bc8af690f961d197d77d34b1d1db393f56"},
-    {file = "cuda_bindings-12.9.4-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fda147a344e8eaeca0c6ff113d2851ffca8f7dfc0a6c932374ee5c47caa649c8"},
-    {file = "cuda_bindings-12.9.4-cp312-cp312-win_amd64.whl", hash = "sha256:696ca75d249ddf287d01b9a698b8e2d8a05046495a9c051ca15659dc52d17615"},
-    {file = "cuda_bindings-12.9.4-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:cf8bfaedc238f3b115d957d1fd6562b7e8435ba57f6d0e2f87d0e7149ccb2da5"},
-    {file = "cuda_bindings-12.9.4-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:32bdc5a76906be4c61eb98f546a6786c5773a881f3b166486449b5d141e4a39f"},
-    {file = "cuda_bindings-12.9.4-cp313-cp313-win_amd64.whl", hash = "sha256:a2e82c8985948f953c2be51df45c3fe11c812a928fca525154fb9503190b3e64"},
-    {file = "cuda_bindings-12.9.4-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3adf4958dcf68ae7801a59b73fb00a8b37f8d0595060d66ceae111b1002de38d"},
-    {file = "cuda_bindings-12.9.4-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:56e0043c457a99ac473ddc926fe0dc4046694d99caef633e92601ab52cbe17eb"},
-    {file = "cuda_bindings-12.9.4-cp313-cp313t-win_amd64.whl", hash = "sha256:b32d8b685f0e66f5658bcf4601ef034e89fc2843582886f0a58784a4302da06c"},
-    {file = "cuda_bindings-12.9.4-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1f53a7f453d4b2643d8663d036bafe29b5ba89eb904c133180f295df6dc151e5"},
-    {file = "cuda_bindings-12.9.4-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8b72ee72a9cc1b531db31eebaaee5c69a8ec3500e32c6933f2d3b15297b53686"},
-    {file = "cuda_bindings-12.9.4-cp314-cp314-win_amd64.whl", hash = "sha256:53a10c71fdbdb743e0268d07964e5a996dd00b4e43831cbfce9804515d97d575"},
-    {file = "cuda_bindings-12.9.4-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:20f2699d61d724de3eb3f3369d57e2b245f93085cab44fd37c3bea036cea1a6f"},
-    {file = "cuda_bindings-12.9.4-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d80bffc357df9988dca279734bc9674c3934a654cab10cadeed27ce17d8635ee"},
-    {file = "cuda_bindings-12.9.4-cp314-cp314t-win_amd64.whl", hash = "sha256:53e11991a92ff6f26a0c8a98554cd5d6721c308a6b7bfb08bebac9201e039e43"},
-    {file = "cuda_bindings-12.9.4-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:893ca68114b5b769c1d4c02583b91ed22691887c3ed513b59467d23540104db4"},
-    {file = "cuda_bindings-12.9.4-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9866ceec83e39337d1a1d64837864c964ad902992478caa288a0bc1be95f21aa"},
-    {file = "cuda_bindings-12.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:37744e721a18a514423e81863f52a4f7f46f5a6f9cccd569f2735f8067f4d8c2"},
-]
-
-[package.dependencies]
-cuda-pathfinder = ">=1.1,<2.0"
-
-[package.extras]
-all = ["nvidia-cuda-nvcc-cu12", "nvidia-cuda-nvrtc-cu12", "nvidia-cufile-cu12 ; sys_platform == \"linux\"", "nvidia-nvjitlink-cu12 (>=12.3)"]
-test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest (>=6.2.4)", "pytest-benchmark (>=3.4.1)", "setuptools (>=77.0.0)"]
-
-[[package]]
-name = "cuda-pathfinder"
-version = "1.3.3"
-description = "Pathfinder for CUDA components"
-optional = false
-python-versions = ">=3.10"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "cuda_pathfinder-1.3.3-py3-none-any.whl", hash = "sha256:9984b664e404f7c134954a771be8775dfd6180ea1e1aef4a5a37d4be05d9bbb1"},
-]
-
-[[package]]
-name = "cycler"
-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"},
-]
-
-[package.extras]
-docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
-tests = ["pytest", "pytest-cov", "pytest-xdist"]
-
-[[package]]
-name = "debugpy"
-version = "1.8.19"
-description = "An implementation of the Debug Adapter Protocol for Python"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "debugpy-1.8.19-cp310-cp310-macosx_15_0_x86_64.whl", hash = "sha256:fce6da15d73be5935b4438435c53adb512326a3e11e4f90793ea87cd9f018254"},
-    {file = "debugpy-1.8.19-cp310-cp310-manylinux_2_34_x86_64.whl", hash = "sha256:e24b1652a1df1ab04d81e7ead446a91c226de704ff5dde6bd0a0dbaab07aa3f2"},
-    {file = "debugpy-1.8.19-cp310-cp310-win32.whl", hash = "sha256:327cb28c3ad9e17bc925efc7f7018195fd4787c2fe4b7af1eec11f1d19bdec62"},
-    {file = "debugpy-1.8.19-cp310-cp310-win_amd64.whl", hash = "sha256:b7dd275cf2c99e53adb9654f5ae015f70415bbe2bacbe24cfee30d54b6aa03c5"},
-    {file = "debugpy-1.8.19-cp311-cp311-macosx_15_0_universal2.whl", hash = "sha256:c5dcfa21de1f735a4f7ced4556339a109aa0f618d366ede9da0a3600f2516d8b"},
-    {file = "debugpy-1.8.19-cp311-cp311-manylinux_2_34_x86_64.whl", hash = "sha256:806d6800246244004625d5222d7765874ab2d22f3ba5f615416cf1342d61c488"},
-    {file = "debugpy-1.8.19-cp311-cp311-win32.whl", hash = "sha256:783a519e6dfb1f3cd773a9bda592f4887a65040cb0c7bd38dde410f4e53c40d4"},
-    {file = "debugpy-1.8.19-cp311-cp311-win_amd64.whl", hash = "sha256:14035cbdbb1fe4b642babcdcb5935c2da3b1067ac211c5c5a8fdc0bb31adbcaa"},
-    {file = "debugpy-1.8.19-cp312-cp312-macosx_15_0_universal2.whl", hash = "sha256:bccb1540a49cde77edc7ce7d9d075c1dbeb2414751bc0048c7a11e1b597a4c2e"},
-    {file = "debugpy-1.8.19-cp312-cp312-manylinux_2_34_x86_64.whl", hash = "sha256:e9c68d9a382ec754dc05ed1d1b4ed5bd824b9f7c1a8cd1083adb84b3c93501de"},
-    {file = "debugpy-1.8.19-cp312-cp312-win32.whl", hash = "sha256:6599cab8a783d1496ae9984c52cb13b7c4a3bd06a8e6c33446832a5d97ce0bee"},
-    {file = "debugpy-1.8.19-cp312-cp312-win_amd64.whl", hash = "sha256:66e3d2fd8f2035a8f111eb127fa508469dfa40928a89b460b41fd988684dc83d"},
-    {file = "debugpy-1.8.19-cp313-cp313-macosx_15_0_universal2.whl", hash = "sha256:91e35db2672a0abaf325f4868fcac9c1674a0d9ad9bb8a8c849c03a5ebba3e6d"},
-    {file = "debugpy-1.8.19-cp313-cp313-manylinux_2_34_x86_64.whl", hash = "sha256:85016a73ab84dea1c1f1dcd88ec692993bcbe4532d1b49ecb5f3c688ae50c606"},
-    {file = "debugpy-1.8.19-cp313-cp313-win32.whl", hash = "sha256:b605f17e89ba0ecee994391194285fada89cee111cfcd29d6f2ee11cbdc40976"},
-    {file = "debugpy-1.8.19-cp313-cp313-win_amd64.whl", hash = "sha256:c30639998a9f9cd9699b4b621942c0179a6527f083c72351f95c6ab1728d5b73"},
-    {file = "debugpy-1.8.19-cp314-cp314-macosx_15_0_universal2.whl", hash = "sha256:1e8c4d1bd230067bf1bbcdbd6032e5a57068638eb28b9153d008ecde288152af"},
-    {file = "debugpy-1.8.19-cp314-cp314-manylinux_2_34_x86_64.whl", hash = "sha256:d40c016c1f538dbf1762936e3aeb43a89b965069d9f60f9e39d35d9d25e6b809"},
-    {file = "debugpy-1.8.19-cp314-cp314-win32.whl", hash = "sha256:0601708223fe1cd0e27c6cce67a899d92c7d68e73690211e6788a4b0e1903f5b"},
-    {file = "debugpy-1.8.19-cp314-cp314-win_amd64.whl", hash = "sha256:8e19a725f5d486f20e53a1dde2ab8bb2c9607c40c00a42ab646def962b41125f"},
-    {file = "debugpy-1.8.19-cp38-cp38-macosx_15_0_x86_64.whl", hash = "sha256:d9b6f633fd2865af2afba2beb0c1819b6ecd4aed1c8f90f5d1bbca3272306b10"},
-    {file = "debugpy-1.8.19-cp38-cp38-manylinux_2_34_x86_64.whl", hash = "sha256:a21bfdea088f713df05fa246ba0520f6ba44dd7eaec224742f51987a6979a648"},
-    {file = "debugpy-1.8.19-cp38-cp38-win32.whl", hash = "sha256:b1cb98e5325da3059ca24445fca48314bfddfdf65ce1b59ff07055e723f06bd2"},
-    {file = "debugpy-1.8.19-cp38-cp38-win_amd64.whl", hash = "sha256:c9b9bf440141a36836bdbe4320a2b126bb38aafa85e1aed05d7bfbb0e2a278bf"},
-    {file = "debugpy-1.8.19-cp39-cp39-macosx_15_0_x86_64.whl", hash = "sha256:c047177ab2d286451f242b855b650d313198c4a987140d4b35218b2855a64a4a"},
-    {file = "debugpy-1.8.19-cp39-cp39-manylinux_2_34_x86_64.whl", hash = "sha256:4468de0c30012d367944f0eab4ecb8371736e8ef9522a465f61214f344c11183"},
-    {file = "debugpy-1.8.19-cp39-cp39-win32.whl", hash = "sha256:7b62c0f015120ede25e5124a5f9d8a424e1208e3d96a36c89958f046ee21fff6"},
-    {file = "debugpy-1.8.19-cp39-cp39-win_amd64.whl", hash = "sha256:76f566baaf7f3e06adbe67ffedccd2ee911d1e486f55931939ce3f0fe1090774"},
-    {file = "debugpy-1.8.19-py2.py3-none-any.whl", hash = "sha256:360ffd231a780abbc414ba0f005dad409e71c78637efe8f2bd75837132a41d38"},
-    {file = "debugpy-1.8.19.tar.gz", hash = "sha256:eea7e5987445ab0b5ed258093722d5ecb8bb72217c5c9b1e21f64efe23ddebdb"},
-]
-
-[[package]]
-name = "decorator"
-version = "5.2.1"
-description = "Decorators for Humans"
-optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev"]
-files = [
-    {file = "decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a"},
-    {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"},
-]
-
-[[package]]
-name = "defusedxml"
-version = "0.7.1"
-description = "XML bomb protection for Python stdlib modules"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["dev"]
-files = [
-    {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
-    {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
-]
-
-[[package]]
-name = "dill"
-version = "0.4.1"
-description = "serialize all of Python"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "dill-0.4.1-py3-none-any.whl", hash = "sha256:1e1ce33e978ae97fcfcff5638477032b801c46c7c65cf717f95fbc2248f79a9d"},
-    {file = "dill-0.4.1.tar.gz", hash = "sha256:423092df4182177d4d8ba8290c8a5b640c66ab35ec7da59ccfa00f6fa3eea5fa"},
-]
-
-[package.extras]
-graph = ["objgraph (>=1.7.2)"]
-profile = ["gprof2dot (>=2022.7.29)"]
-
-[[package]]
-name = "docopt"
-version = "0.6.2"
-description = "Pythonic argument parser, that will make you smile"
-optional = false
-python-versions = "*"
-groups = ["dev"]
-files = [
-    {file = "docopt-0.6.2.tar.gz", hash = "sha256:49b3a825280bd66b3aa83585ef59c4a8c82f2c8a522dbe754a8bc8d08c85c491"},
-]
-
-[[package]]
-name = "doit"
-version = "0.36.0"
-description = "doit - Automation Tool"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev-benchmark"]
-files = [
-    {file = "doit-0.36.0-py3-none-any.whl", hash = "sha256:ebc285f6666871b5300091c26eafdff3de968a6bd60ea35dd1e3fc6f2e32479a"},
-    {file = "doit-0.36.0.tar.gz", hash = "sha256:71d07ccc9514cb22fe59d98999577665eaab57e16f644d04336ae0b4bae234bc"},
-]
-
-[package.dependencies]
-cloudpickle = "*"
-importlib-metadata = ">=4.4"
-
-[package.extras]
-toml = ["tomli ; python_version < \"3.11\""]
-
-[[package]]
-name = "exceptiongroup"
-version = "1.3.1"
-description = "Backport of PEP 654 (exception groups)"
-optional = false
-python-versions = ">=3.7"
-groups = ["dev", "shiny"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"},
-    {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"},
-]
-
-[package.dependencies]
-typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.13\""}
-
-[package.extras]
-test = ["pytest (>=6)"]
-
-[[package]]
-name = "executing"
-version = "2.2.1"
-description = "Get the currently executing AST node of a frame, and other information"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "executing-2.2.1-py2.py3-none-any.whl", hash = "sha256:760643d3452b4d777d295bb167ccc74c64a81df23fb5e08eff250c425a4b2017"},
-    {file = "executing-2.2.1.tar.gz", hash = "sha256:3632cc370565f6648cc328b32435bd120a1e4ebb20c77e3fdde9a13cd1e533c4"},
-]
-
-[package.extras]
-tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich ; python_version >= \"3.11\""]
-
-[[package]]
-name = "fastjsonschema"
-version = "2.21.2"
-description = "Fastest Python implementation of JSON schema"
-optional = false
-python-versions = "*"
-groups = ["dev"]
-files = [
-    {file = "fastjsonschema-2.21.2-py3-none-any.whl", hash = "sha256:1c797122d0a86c5cace2e54bf4e819c36223b552017172f32c5c024a6b77e463"},
-    {file = "fastjsonschema-2.21.2.tar.gz", hash = "sha256:b1eb43748041c880796cd077f1a07c3d94e93ae84bba5ed36800a33554ae05de"},
-]
-
-[package.extras]
-devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
-
-[[package]]
-name = "filelock"
-version = "3.20.3"
-description = "A platform independent file lock."
-optional = false
-python-versions = ">=3.10"
-groups = ["optim-torch"]
-files = [
-    {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"},
-    {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"},
-]
-
-[[package]]
-name = "fonttools"
-version = "4.61.1"
-description = "Tools to manipulate font files"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-files = [
-    {file = "fonttools-4.61.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7c7db70d57e5e1089a274cbb2b1fd635c9a24de809a231b154965d415d6c6d24"},
-    {file = "fonttools-4.61.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5fe9fd43882620017add5eabb781ebfbc6998ee49b35bd7f8f79af1f9f99a958"},
-    {file = "fonttools-4.61.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d8db08051fc9e7d8bc622f2112511b8107d8f27cd89e2f64ec45e9825e8288da"},
-    {file = "fonttools-4.61.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a76d4cb80f41ba94a6691264be76435e5f72f2cb3cab0b092a6212855f71c2f6"},
-    {file = "fonttools-4.61.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:a13fc8aeb24bad755eea8f7f9d409438eb94e82cf86b08fe77a03fbc8f6a96b1"},
-    {file = "fonttools-4.61.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b846a1fcf8beadeb9ea4f44ec5bdde393e2f1569e17d700bfc49cd69bde75881"},
-    {file = "fonttools-4.61.1-cp310-cp310-win32.whl", hash = "sha256:78a7d3ab09dc47ac1a363a493e6112d8cabed7ba7caad5f54dbe2f08676d1b47"},
-    {file = "fonttools-4.61.1-cp310-cp310-win_amd64.whl", hash = "sha256:eff1ac3cc66c2ac7cda1e64b4e2f3ffef474b7335f92fc3833fc632d595fcee6"},
-    {file = "fonttools-4.61.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:c6604b735bb12fef8e0efd5578c9fb5d3d8532d5001ea13a19cddf295673ee09"},
-    {file = "fonttools-4.61.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5ce02f38a754f207f2f06557523cd39a06438ba3aafc0639c477ac409fc64e37"},
-    {file = "fonttools-4.61.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:77efb033d8d7ff233385f30c62c7c79271c8885d5c9657d967ede124671bbdfb"},
-    {file = "fonttools-4.61.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:75c1a6dfac6abd407634420c93864a1e274ebc1c7531346d9254c0d8f6ca00f9"},
-    {file = "fonttools-4.61.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:0de30bfe7745c0d1ffa2b0b7048fb7123ad0d71107e10ee090fa0b16b9452e87"},
-    {file = "fonttools-4.61.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:58b0ee0ab5b1fc9921eccfe11d1435added19d6494dde14e323f25ad2bc30c56"},
-    {file = "fonttools-4.61.1-cp311-cp311-win32.whl", hash = "sha256:f79b168428351d11e10c5aeb61a74e1851ec221081299f4cf56036a95431c43a"},
-    {file = "fonttools-4.61.1-cp311-cp311-win_amd64.whl", hash = "sha256:fe2efccb324948a11dd09d22136fe2ac8a97d6c1347cf0b58a911dcd529f66b7"},
-    {file = "fonttools-4.61.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:f3cb4a569029b9f291f88aafc927dd53683757e640081ca8c412781ea144565e"},
-    {file = "fonttools-4.61.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:41a7170d042e8c0024703ed13b71893519a1a6d6e18e933e3ec7507a2c26a4b2"},
-    {file = "fonttools-4.61.1-cp312-cp312-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:10d88e55330e092940584774ee5e8a6971b01fc2f4d3466a1d6c158230880796"},
-    {file = "fonttools-4.61.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:15acc09befd16a0fb8a8f62bc147e1a82817542d72184acca9ce6e0aeda9fa6d"},
-    {file = "fonttools-4.61.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:e6bcdf33aec38d16508ce61fd81838f24c83c90a1d1b8c68982857038673d6b8"},
-    {file = "fonttools-4.61.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:5fade934607a523614726119164ff621e8c30e8fa1ffffbbd358662056ba69f0"},
-    {file = "fonttools-4.61.1-cp312-cp312-win32.whl", hash = "sha256:75da8f28eff26defba42c52986de97b22106cb8f26515b7c22443ebc9c2d3261"},
-    {file = "fonttools-4.61.1-cp312-cp312-win_amd64.whl", hash = "sha256:497c31ce314219888c0e2fce5ad9178ca83fe5230b01a5006726cdf3ac9f24d9"},
-    {file = "fonttools-4.61.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:8c56c488ab471628ff3bfa80964372fc13504ece601e0d97a78ee74126b2045c"},
-    {file = "fonttools-4.61.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:dc492779501fa723b04d0ab1f5be046797fee17d27700476edc7ee9ae535a61e"},
-    {file = "fonttools-4.61.1-cp313-cp313-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:64102ca87e84261419c3747a0d20f396eb024bdbeb04c2bfb37e2891f5fadcb5"},
-    {file = "fonttools-4.61.1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4c1b526c8d3f615a7b1867f38a9410849c8f4aef078535742198e942fba0e9bd"},
-    {file = "fonttools-4.61.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:41ed4b5ec103bd306bb68f81dc166e77409e5209443e5773cb4ed837bcc9b0d3"},
-    {file = "fonttools-4.61.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b501c862d4901792adaec7c25b1ecc749e2662543f68bb194c42ba18d6eec98d"},
-    {file = "fonttools-4.61.1-cp313-cp313-win32.whl", hash = "sha256:4d7092bb38c53bbc78e9255a59158b150bcdc115a1e3b3ce0b5f267dc35dd63c"},
-    {file = "fonttools-4.61.1-cp313-cp313-win_amd64.whl", hash = "sha256:21e7c8d76f62ab13c9472ccf74515ca5b9a761d1bde3265152a6dc58700d895b"},
-    {file = "fonttools-4.61.1-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:fff4f534200a04b4a36e7ae3cb74493afe807b517a09e99cb4faa89a34ed6ecd"},
-    {file = "fonttools-4.61.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:d9203500f7c63545b4ce3799319fe4d9feb1a1b89b28d3cb5abd11b9dd64147e"},
-    {file = "fonttools-4.61.1-cp314-cp314-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:fa646ecec9528bef693415c79a86e733c70a4965dd938e9a226b0fc64c9d2e6c"},
-    {file = "fonttools-4.61.1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:11f35ad7805edba3aac1a3710d104592df59f4b957e30108ae0ba6c10b11dd75"},
-    {file = "fonttools-4.61.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:b931ae8f62db78861b0ff1ac017851764602288575d65b8e8ff1963fed419063"},
-    {file = "fonttools-4.61.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:b148b56f5de675ee16d45e769e69f87623a4944f7443850bf9a9376e628a89d2"},
-    {file = "fonttools-4.61.1-cp314-cp314-win32.whl", hash = "sha256:9b666a475a65f4e839d3d10473fad6d47e0a9db14a2f4a224029c5bfde58ad2c"},
-    {file = "fonttools-4.61.1-cp314-cp314-win_amd64.whl", hash = "sha256:4f5686e1fe5fce75d82d93c47a438a25bf0d1319d2843a926f741140b2b16e0c"},
-    {file = "fonttools-4.61.1-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:e76ce097e3c57c4bcb67c5aa24a0ecdbd9f74ea9219997a707a4061fbe2707aa"},
-    {file = "fonttools-4.61.1-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:9cfef3ab326780c04d6646f68d4b4742aae222e8b8ea1d627c74e38afcbc9d91"},
-    {file = "fonttools-4.61.1-cp314-cp314t-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:a75c301f96db737e1c5ed5fd7d77d9c34466de16095a266509e13da09751bd19"},
-    {file = "fonttools-4.61.1-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:91669ccac46bbc1d09e9273546181919064e8df73488ea087dcac3e2968df9ba"},
-    {file = "fonttools-4.61.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:c33ab3ca9d3ccd581d58e989d67554e42d8d4ded94ab3ade3508455fe70e65f7"},
-    {file = "fonttools-4.61.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:664c5a68ec406f6b1547946683008576ef8b38275608e1cee6c061828171c118"},
-    {file = "fonttools-4.61.1-cp314-cp314t-win32.whl", hash = "sha256:aed04cabe26f30c1647ef0e8fbb207516fd40fe9472e9439695f5c6998e60ac5"},
-    {file = "fonttools-4.61.1-cp314-cp314t-win_amd64.whl", hash = "sha256:2180f14c141d2f0f3da43f3a81bc8aa4684860f6b0e6f9e165a4831f24e6a23b"},
-    {file = "fonttools-4.61.1-py3-none-any.whl", hash = "sha256:17d2bf5d541add43822bcf0c43d7d847b160c9bb01d15d5007d84e2217aaa371"},
-    {file = "fonttools-4.61.1.tar.gz", hash = "sha256:6675329885c44657f826ef01d9e4fb33b9158e9d93c537d84ad8399539bc6f69"},
-]
-
-[package.extras]
-all = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "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 (>=0.45.0)", "unicodedata2 (>=17.0.0) ; python_version <= \"3.14\"", "xattr ; sys_platform == \"darwin\"", "zopfli (>=0.1.4)"]
-graphite = ["lz4 (>=1.7.4.2)"]
-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 (>=0.45.0)"]
-symfont = ["sympy"]
-type1 = ["xattr ; sys_platform == \"darwin\""]
-unicode = ["unicodedata2 (>=17.0.0) ; python_version <= \"3.14\""]
-woff = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "zopfli (>=0.1.4)"]
-
-[[package]]
-name = "fqdn"
-version = "1.5.1"
-description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers"
-optional = false
-python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4"
-groups = ["dev"]
-files = [
-    {file = "fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014"},
-    {file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"},
-]
-
-[[package]]
-name = "fsspec"
-version = "2026.2.0"
-description = "File-system specification"
-optional = false
-python-versions = ">=3.10"
-groups = ["optim-torch"]
-files = [
-    {file = "fsspec-2026.2.0-py3-none-any.whl", hash = "sha256:98de475b5cb3bd66bedd5c4679e87b4fdfe1a3bf4d707b151b3c07e58c9a2437"},
-    {file = "fsspec-2026.2.0.tar.gz", hash = "sha256:6544e34b16869f5aacd5b90bdf1a71acb37792ea3ddf6125ee69a22a53fb8bff"},
-]
-
-[package.extras]
-abfs = ["adlfs"]
-adl = ["adlfs"]
-arrow = ["pyarrow (>=1)"]
-dask = ["dask", "distributed"]
-dev = ["pre-commit", "ruff (>=0.5)"]
-doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
-dropbox = ["dropbox", "dropboxdrivefs", "requests"]
-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs (>2024.2.0)", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs (>2024.2.0)", "smbprotocol", "tqdm"]
-fuse = ["fusepy"]
-gcs = ["gcsfs (>2024.2.0)"]
-git = ["pygit2"]
-github = ["requests"]
-gs = ["gcsfs"]
-gui = ["panel"]
-hdfs = ["pyarrow (>=1)"]
-http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
-libarchive = ["libarchive-c"]
-oci = ["ocifs"]
-s3 = ["s3fs (>2024.2.0)"]
-sftp = ["paramiko"]
-smb = ["smbprotocol"]
-ssh = ["paramiko"]
-test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
-test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
-test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas (<3.0.0)", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""]
-tqdm = ["tqdm"]
-
-[[package]]
-name = "ghp-import"
-version = "2.1.0"
-description = "Copy your docs directly to the gh-pages branch."
-optional = false
-python-versions = "*"
-groups = ["dev"]
-files = [
-    {file = "ghp-import-2.1.0.tar.gz", hash = "sha256:9c535c4c61193c2df8871222567d7fd7e5014d835f97dc7b7439069e2413d343"},
-    {file = "ghp_import-2.1.0-py3-none-any.whl", hash = "sha256:8337dd7b50877f163d4c0289bc1f1c7f127550241988d568c1db512c4324a619"},
-]
-
-[package.dependencies]
-python-dateutil = ">=2.8.1"
-
-[package.extras]
-dev = ["flake8", "markdown", "twine", "wheel"]
-
-[[package]]
-name = "griffe"
-version = "1.15.0"
-description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-files = [
-    {file = "griffe-1.15.0-py3-none-any.whl", hash = "sha256:6f6762661949411031f5fcda9593f586e6ce8340f0ba88921a0f2ef7a81eb9a3"},
-    {file = "griffe-1.15.0.tar.gz", hash = "sha256:7726e3afd6f298fbc3696e67958803e7ac843c1cfe59734b6251a40cdbfb5eea"},
-]
-
-[package.dependencies]
-colorama = ">=0.4"
-
-[package.extras]
-pypi = ["pip (>=24.0)", "platformdirs (>=4.2)", "wheel (>=0.42)"]
-
-[[package]]
-name = "h11"
-version = "0.16.0"
-description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev", "shiny"]
-files = [
-    {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"},
-    {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
-]
-markers = {shiny = "platform_system != \"Emscripten\""}
-
-[[package]]
-name = "h5io"
-version = "0.2.5"
-description = "Python Objects Onto HDF5"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "h5io-0.2.5-py3-none-any.whl", hash = "sha256:657f85ecd0d0f307ccd2e13dc7af1c0aa546b1598065229aedab8a6afcacb8ee"},
-    {file = "h5io-0.2.5.tar.gz", hash = "sha256:265bc9c24508b30575e8a8806b19cd4440643ff26f8b82b51d0280444807eed8"},
-]
-
-[package.dependencies]
-h5py = "*"
-numpy = "*"
-
-[[package]]
-name = "h5py"
-version = "3.15.1"
-description = "Read and write HDF5 files from Python"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-files = [
-    {file = "h5py-3.15.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:67e59f6c2f19a32973a40f43d9a088ae324fe228c8366e25ebc57ceebf093a6b"},
-    {file = "h5py-3.15.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0e2f471688402c3404fa4e13466e373e622fd4b74b47b56cfdff7cc688209422"},
-    {file = "h5py-3.15.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4c45802bcb711e128a6839cb6c01e9ac648dc55df045c9542a675c771f15c8d5"},
-    {file = "h5py-3.15.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:64ce3f6470adb87c06e3a8dd1b90e973699f1759ad79bfa70c230939bff356c9"},
-    {file = "h5py-3.15.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4411c1867b9899a25e983fff56d820a66f52ac326bbe10c7cdf7d832c9dcd883"},
-    {file = "h5py-3.15.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2cbc4104d3d4aca9d6db8c0c694555e255805bfeacf9eb1349bda871e26cacbe"},
-    {file = "h5py-3.15.1-cp310-cp310-win_amd64.whl", hash = "sha256:01f55111ca516f5568ae7a7fc8247dfce607de331b4467ee8a9a6ed14e5422c7"},
-    {file = "h5py-3.15.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5aaa330bcbf2830150c50897ea5dcbed30b5b6d56897289846ac5b9e529ec243"},
-    {file = "h5py-3.15.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c970fb80001fffabb0109eaf95116c8e7c0d3ca2de854e0901e8a04c1f098509"},
-    {file = "h5py-3.15.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:80e5bb5b9508d5d9da09f81fd00abbb3f85da8143e56b1585d59bc8ceb1dba8b"},
-    {file = "h5py-3.15.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5b849ba619a066196169763c33f9f0f02e381156d61c03e000bb0100f9950faf"},
-    {file = "h5py-3.15.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:e7f6c841efd4e6e5b7e82222eaf90819927b6d256ab0f3aca29675601f654f3c"},
-    {file = "h5py-3.15.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ca8a3a22458956ee7b40d8e39c9a9dc01f82933e4c030c964f8b875592f4d831"},
-    {file = "h5py-3.15.1-cp311-cp311-win_amd64.whl", hash = "sha256:550e51131376889656feec4aff2170efc054a7fe79eb1da3bb92e1625d1ac878"},
-    {file = "h5py-3.15.1-cp311-cp311-win_arm64.whl", hash = "sha256:b39239947cb36a819147fc19e86b618dcb0953d1cd969f5ed71fc0de60392427"},
-    {file = "h5py-3.15.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:316dd0f119734f324ca7ed10b5627a2de4ea42cc4dfbcedbee026aaa361c238c"},
-    {file = "h5py-3.15.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b51469890e58e85d5242e43aab29f5e9c7e526b951caab354f3ded4ac88e7b76"},
-    {file = "h5py-3.15.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8a33bfd5dfcea037196f7778534b1ff7e36a7f40a89e648c8f2967292eb6898e"},
-    {file = "h5py-3.15.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:25c8843fec43b2cc368aa15afa1cdf83fc5e17b1c4e10cd3771ef6c39b72e5ce"},
-    {file = "h5py-3.15.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a308fd8681a864c04423c0324527237a0484e2611e3441f8089fd00ed56a8171"},
-    {file = "h5py-3.15.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:f4a016df3f4a8a14d573b496e4d1964deb380e26031fc85fb40e417e9131888a"},
-    {file = "h5py-3.15.1-cp312-cp312-win_amd64.whl", hash = "sha256:59b25cf02411bf12e14f803fef0b80886444c7fe21a5ad17c6a28d3f08098a1e"},
-    {file = "h5py-3.15.1-cp312-cp312-win_arm64.whl", hash = "sha256:61d5a58a9851e01ee61c932bbbb1c98fe20aba0a5674776600fb9a361c0aa652"},
-    {file = "h5py-3.15.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:c8440fd8bee9500c235ecb7aa1917a0389a2adb80c209fa1cc485bd70e0d94a5"},
-    {file = "h5py-3.15.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:ab2219dbc6fcdb6932f76b548e2b16f34a1f52b7666e998157a4dfc02e2c4123"},
-    {file = "h5py-3.15.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d8cb02c3a96255149ed3ac811eeea25b655d959c6dd5ce702c9a95ff11859eb5"},
-    {file = "h5py-3.15.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:121b2b7a4c1915d63737483b7bff14ef253020f617c2fb2811f67a4bed9ac5e8"},
-    {file = "h5py-3.15.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:59b0d63b318bf3cc06687def2b45afd75926bbc006f7b8cd2b1a231299fc8599"},
-    {file = "h5py-3.15.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e02fe77a03f652500d8bff288cbf3675f742fc0411f5a628fa37116507dc7cc0"},
-    {file = "h5py-3.15.1-cp313-cp313-win_amd64.whl", hash = "sha256:dea78b092fd80a083563ed79a3171258d4a4d307492e7cf8b2313d464c82ba52"},
-    {file = "h5py-3.15.1-cp313-cp313-win_arm64.whl", hash = "sha256:c256254a8a81e2bddc0d376e23e2a6d2dc8a1e8a2261835ed8c1281a0744cd97"},
-    {file = "h5py-3.15.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:5f4fb0567eb8517c3ecd6b3c02c4f4e9da220c8932604960fd04e24ee1254763"},
-    {file = "h5py-3.15.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:954e480433e82d3872503104f9b285d369048c3a788b2b1a00e53d1c47c98dd2"},
-    {file = "h5py-3.15.1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:fd125c131889ebbef0849f4a0e29cf363b48aba42f228d08b4079913b576bb3a"},
-    {file = "h5py-3.15.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:28a20e1a4082a479b3d7db2169f3a5034af010b90842e75ebbf2e9e49eb4183e"},
-    {file = "h5py-3.15.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:fa8df5267f545b4946df8ca0d93d23382191018e4cda2deda4c2cedf9a010e13"},
-    {file = "h5py-3.15.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:99d374a21f7321a4c6ab327c4ab23bd925ad69821aeb53a1e75dd809d19f67fa"},
-    {file = "h5py-3.15.1-cp314-cp314-win_amd64.whl", hash = "sha256:9c73d1d7cdb97d5b17ae385153472ce118bed607e43be11e9a9deefaa54e0734"},
-    {file = "h5py-3.15.1-cp314-cp314-win_arm64.whl", hash = "sha256:a6d8c5a05a76aca9a494b4c53ce8a9c29023b7f64f625c6ce1841e92a362ccdf"},
-    {file = "h5py-3.15.1.tar.gz", hash = "sha256:c86e3ed45c4473564de55aa83b6fc9e5ead86578773dfbd93047380042e26b69"},
-]
-
-[package.dependencies]
-numpy = ">=1.21.2"
-
-[[package]]
-name = "htmltools"
-version = "0.6.0"
-description = "Tools for HTML generation and output."
-optional = false
-python-versions = ">=3.9"
-groups = ["shiny"]
-files = [
-    {file = "htmltools-0.6.0-py3-none-any.whl", hash = "sha256:072a274ff5e2851e0acce13fc5bb2bbdbbad8268dc8b123f881c05012ce7dce0"},
-    {file = "htmltools-0.6.0.tar.gz", hash = "sha256:e8a3fb023d748935035db7ff17f620612ffc814a6a80b6ae388f7b7ab182adf7"},
-]
-
-[package.dependencies]
-packaging = ">=20.9"
-typing-extensions = ">=3.10.0.0"
-
-[package.extras]
-dev = ["Flake8-pyproject", "black (>=24.2.0)", "build", "flake8 (>=6.0.0)", "isort (>=5.11.2)", "pre-commit (>=2.15.0)", "pyright (>=1.1.348)", "wheel"]
-test = ["pytest (>=6.2.4)", "syrupy (>=4.6.0)"]
-
-[[package]]
-name = "httpcore"
-version = "1.0.9"
-description = "A minimal low-level HTTP client."
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"},
-    {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"},
-]
-
-[package.dependencies]
-certifi = "*"
-h11 = ">=0.16"
-
-[package.extras]
-asyncio = ["anyio (>=4.0,<5.0)"]
-http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<1.0)"]
-
-[[package]]
-name = "httpx"
-version = "0.28.1"
-description = "The next generation HTTP client."
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
-    {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
-]
-
-[package.dependencies]
-anyio = "*"
-certifi = "*"
-httpcore = "==1.*"
-idna = "*"
-
-[package.extras]
-brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
-cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
-http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (==1.*)"]
-zstd = ["zstandard (>=0.18.0)"]
-
-[[package]]
-name = "idna"
-version = "3.11"
-description = "Internationalized Domain Names in Applications (IDNA)"
-optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev", "shiny"]
-files = [
-    {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"},
-    {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"},
-]
-
-[package.extras]
-all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
-
-[[package]]
-name = "imageio"
-version = "2.37.2"
-description = "Read and write images and video across all major formats. Supports scientific and volumetric data."
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "imageio-2.37.2-py3-none-any.whl", hash = "sha256:ad9adfb20335d718c03de457358ed69f141021a333c40a53e57273d8a5bd0b9b"},
-    {file = "imageio-2.37.2.tar.gz", hash = "sha256:0212ef2727ac9caa5ca4b2c75ae89454312f440a756fcfc8ef1993e718f50f8a"},
-]
-
-[package.dependencies]
-numpy = "*"
-pillow = ">=8.3.2"
-
-[package.extras]
-all-plugins = ["astropy", "av", "fsspec[http]", "imageio-ffmpeg", "numpy (>2)", "pillow-heif", "psutil", "rawpy", "tifffile"]
-all-plugins-pypy = ["fsspec[http]", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
-dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
-docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
-ffmpeg = ["imageio-ffmpeg", "psutil"]
-fits = ["astropy"]
-freeimage = ["fsspec[http]"]
-full = ["astropy", "av", "black", "flake8", "fsspec[github,http]", "imageio-ffmpeg", "numpy (>2)", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "rawpy", "sphinx (<6)", "tifffile"]
-gdal = ["gdal"]
-itk = ["itk"]
-linting = ["black", "flake8"]
-pillow-heif = ["pillow-heif"]
-pyav = ["av"]
-rawpy = ["numpy (>2)", "rawpy"]
-test = ["fsspec[github]", "pytest", "pytest-cov"]
-tifffile = ["tifffile"]
-
-[[package]]
-name = "importlib-metadata"
-version = "8.7.1"
-description = "Read metadata from Python packages"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev-benchmark"]
-files = [
-    {file = "importlib_metadata-8.7.1-py3-none-any.whl", hash = "sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151"},
-    {file = "importlib_metadata-8.7.1.tar.gz", hash = "sha256:49fef1ae6440c182052f407c8d34a68f72efc36db9ca90dc0113398f2fdde8bb"},
-]
-
-[package.dependencies]
-zipp = ">=3.20"
-
-[package.extras]
-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 (>=3.4)"]
-perf = ["ipython"]
-test = ["flufl.flake8", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
-type = ["mypy (<1.19) ; platform_python_implementation == \"PyPy\"", "pytest-mypy (>=1.0.1)"]
-
-[[package]]
-name = "importlib-resources"
-version = "6.5.2"
-description = "Read resources from Python packages"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-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"},
-]
-
-[package.extras]
-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 = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"]
-type = ["pytest-mypy"]
-
-[[package]]
-name = "iniconfig"
-version = "2.3.0"
-description = "brain-dead simple config-ini parsing"
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-files = [
-    {file = "iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12"},
-    {file = "iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730"},
-]
-
-[[package]]
-name = "ipykernel"
-version = "7.1.0"
-description = "IPython Kernel for Jupyter"
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-files = [
-    {file = "ipykernel-7.1.0-py3-none-any.whl", hash = "sha256:763b5ec6c5b7776f6a8d7ce09b267693b4e5ce75cb50ae696aaefb3c85e1ea4c"},
-    {file = "ipykernel-7.1.0.tar.gz", hash = "sha256:58a3fc88533d5930c3546dc7eac66c6d288acde4f801e2001e65edc5dc9cf0db"},
-]
-
-[package.dependencies]
-appnope = {version = ">=0.1.2", markers = "platform_system == \"Darwin\""}
-comm = ">=0.1.1"
-debugpy = ">=1.6.5"
-ipython = ">=7.23.1"
-jupyter-client = ">=8.0.0"
-jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
-matplotlib-inline = ">=0.1"
-nest-asyncio = ">=1.4"
-packaging = ">=22"
-psutil = ">=5.7"
-pyzmq = ">=25"
-tornado = ">=6.2"
-traitlets = ">=5.4.0"
-
-[package.extras]
-cov = ["coverage[toml]", "matplotlib", "pytest-cov", "trio"]
-docs = ["intersphinx-registry", "myst-parser", "pydata-sphinx-theme", "sphinx (<8.2.0)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"]
-pyqt5 = ["pyqt5"]
-pyside6 = ["pyside6"]
-test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0,<9)", "pytest-asyncio (>=0.23.5)", "pytest-cov", "pytest-timeout"]
-
-[[package]]
-name = "ipython"
-version = "8.38.0"
-description = "IPython: Productive Interactive Computing"
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "ipython-8.38.0-py3-none-any.whl", hash = "sha256:750162629d800ac65bb3b543a14e7a74b0e88063eac9b92124d4b2aa3f6d8e86"},
-    {file = "ipython-8.38.0.tar.gz", hash = "sha256:9cfea8c903ce0867cc2f23199ed8545eb741f3a69420bfcf3743ad1cec856d39"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-decorator = "*"
-exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
-jedi = ">=0.16"
-matplotlib-inline = "*"
-pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
-prompt_toolkit = ">=3.0.41,<3.1.0"
-pygments = ">=2.4.0"
-stack_data = "*"
-traitlets = ">=5.13.0"
-typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
-
-[package.extras]
-all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
-black = ["black"]
-doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli ; python_version < \"3.11\"", "typing_extensions"]
-kernel = ["ipykernel"]
-matplotlib = ["matplotlib"]
-nbconvert = ["nbconvert"]
-nbformat = ["nbformat"]
-notebook = ["ipywidgets", "notebook"]
-parallel = ["ipyparallel"]
-qtconsole = ["qtconsole"]
-test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
-test-extra = ["curio", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
-
-[[package]]
-name = "ipython"
-version = "9.9.0"
-description = "IPython: Productive Interactive Computing"
-optional = false
-python-versions = ">=3.11"
-groups = ["dev"]
-markers = "python_version >= \"3.11\""
-files = [
-    {file = "ipython-9.9.0-py3-none-any.whl", hash = "sha256:b457fe9165df2b84e8ec909a97abcf2ed88f565970efba16b1f7229c283d252b"},
-    {file = "ipython-9.9.0.tar.gz", hash = "sha256:48fbed1b2de5e2c7177eefa144aba7fcb82dac514f09b57e2ac9da34ddb54220"},
-]
-
-[package.dependencies]
-colorama = {version = ">=0.4.4", markers = "sys_platform == \"win32\""}
-decorator = ">=4.3.2"
-ipython-pygments-lexers = ">=1.0.0"
-jedi = ">=0.18.1"
-matplotlib-inline = ">=0.1.5"
-pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
-prompt_toolkit = ">=3.0.41,<3.1.0"
-pygments = ">=2.11.0"
-stack_data = ">=0.6.0"
-traitlets = ">=5.13.0"
-typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
-
-[package.extras]
-all = ["argcomplete (>=3.0)", "ipython[doc,matplotlib,terminal,test,test-extra]"]
-black = ["black"]
-doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[matplotlib,test]", "setuptools (>=70.0)", "sphinx (>=8.0)", "sphinx-rtd-theme (>=0.1.8)", "sphinx_toml (==0.0.4)", "typing_extensions"]
-matplotlib = ["matplotlib (>3.9)"]
-test = ["packaging (>=20.1.0)", "pytest (>=7.0.0)", "pytest-asyncio (>=1.0.0)", "setuptools (>=61.2)", "testpath (>=0.2)"]
-test-extra = ["curio", "ipykernel (>6.30)", "ipython[matplotlib]", "ipython[test]", "jupyter_ai", "nbclient", "nbformat", "numpy (>=1.27)", "pandas (>2.1)", "trio (>=0.1.0)"]
-
-[[package]]
-name = "ipython-pygments-lexers"
-version = "1.1.1"
-description = "Defines a variety of Pygments lexers for highlighting IPython code."
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-markers = "python_version >= \"3.11\""
-files = [
-    {file = "ipython_pygments_lexers-1.1.1-py3-none-any.whl", hash = "sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c"},
-    {file = "ipython_pygments_lexers-1.1.1.tar.gz", hash = "sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81"},
-]
-
-[package.dependencies]
-pygments = "*"
-
-[[package]]
-name = "ipywidgets"
-version = "8.1.8"
-description = "Jupyter interactive widgets"
-optional = false
-python-versions = ">=3.7"
-groups = ["dev"]
-files = [
-    {file = "ipywidgets-8.1.8-py3-none-any.whl", hash = "sha256:ecaca67aed704a338f88f67b1181b58f821ab5dc89c1f0f5ef99db43c1c2921e"},
-    {file = "ipywidgets-8.1.8.tar.gz", hash = "sha256:61f969306b95f85fba6b6986b7fe45d73124d1d9e3023a8068710d47a22ea668"},
-]
-
-[package.dependencies]
-comm = ">=0.1.3"
-ipython = ">=6.1.0"
-jupyterlab_widgets = ">=3.0.15,<3.1.0"
-traitlets = ">=4.3.1"
-widgetsnbextension = ">=4.0.14,<4.1.0"
-
-[package.extras]
-test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"]
-
-[[package]]
-name = "isoduration"
-version = "20.11.0"
-description = "Operations with ISO 8601 durations"
-optional = false
-python-versions = ">=3.7"
-groups = ["dev"]
-files = [
-    {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"},
-    {file = "isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9"},
-]
-
-[package.dependencies]
-arrow = ">=0.15.0"
-
-[[package]]
-name = "isort"
-version = "7.0.0"
-description = "A Python utility / library to sort Python imports."
-optional = false
-python-versions = ">=3.10.0"
-groups = ["dev"]
-files = [
-    {file = "isort-7.0.0-py3-none-any.whl", hash = "sha256:1bcabac8bc3c36c7fb7b98a76c8abb18e0f841a3ba81decac7691008592499c1"},
-    {file = "isort-7.0.0.tar.gz", hash = "sha256:5513527951aadb3ac4292a41a16cbc50dd1642432f5e8c20057d414bdafb4187"},
-]
-
-[package.extras]
-colors = ["colorama"]
-plugins = ["setuptools"]
-
-[[package]]
-name = "jedi"
-version = "0.19.2"
-description = "An autocompletion tool for Python that can be used for text editors."
-optional = false
-python-versions = ">=3.6"
-groups = ["dev"]
-files = [
-    {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"},
-    {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"},
-]
-
-[package.dependencies]
-parso = ">=0.8.4,<0.9.0"
-
-[package.extras]
-docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
-qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
-testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"]
-
-[[package]]
-name = "jinja2"
-version = "3.1.6"
-description = "A very fast and expressive template engine."
-optional = false
-python-versions = ">=3.7"
-groups = ["main", "dev", "optim-torch"]
-files = [
-    {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
-    {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"},
-]
-
-[package.dependencies]
-MarkupSafe = ">=2.0"
-
-[package.extras]
-i18n = ["Babel (>=2.7)"]
-
-[[package]]
-name = "joblib"
-version = "1.5.3"
-description = "Lightweight pipelining with Python functions"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "joblib-1.5.3-py3-none-any.whl", hash = "sha256:5fc3c5039fc5ca8c0276333a188bbd59d6b7ab37fe6632daa76bc7f9ec18e713"},
-    {file = "joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3"},
-]
-
-[[package]]
-name = "json5"
-version = "0.13.0"
-description = "A Python implementation of the JSON5 data format."
-optional = false
-python-versions = ">=3.8.0"
-groups = ["dev"]
-files = [
-    {file = "json5-0.13.0-py3-none-any.whl", hash = "sha256:9a08e1dd65f6a4d4c6fa82d216cf2477349ec2346a38fd70cc11d2557499fbcc"},
-    {file = "json5-0.13.0.tar.gz", hash = "sha256:b1edf8d487721c0bf64d83c28e91280781f6e21f4a797d3261c7c828d4c165bf"},
-]
-
-[[package]]
-name = "jsonpointer"
-version = "3.0.0"
-description = "Identify specific nodes in a JSON document (RFC 6901)"
-optional = false
-python-versions = ">=3.7"
-groups = ["dev"]
-files = [
-    {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
-    {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
-]
-
-[[package]]
-name = "jsonschema"
-version = "4.26.0"
-description = "An implementation of JSON Schema validation for Python"
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-files = [
-    {file = "jsonschema-4.26.0-py3-none-any.whl", hash = "sha256:d489f15263b8d200f8387e64b4c3a75f06629559fb73deb8fdfb525f2dab50ce"},
-    {file = "jsonschema-4.26.0.tar.gz", hash = "sha256:0c26707e2efad8aa1bfc5b7ce170f3fccc2e4918ff85989ba9ffa9facb2be326"},
-]
-
-[package.dependencies]
-attrs = ">=22.2.0"
-fqdn = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
-idna = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
-isoduration = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
-jsonpointer = {version = ">1.13", optional = true, markers = "extra == \"format-nongpl\""}
-jsonschema-specifications = ">=2023.3.6"
-referencing = ">=0.28.4"
-rfc3339-validator = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
-rfc3986-validator = {version = ">0.1.0", optional = true, markers = "extra == \"format-nongpl\""}
-rfc3987-syntax = {version = ">=1.1.0", optional = true, markers = "extra == \"format-nongpl\""}
-rpds-py = ">=0.25.0"
-uri-template = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
-webcolors = {version = ">=24.6.0", optional = true, markers = "extra == \"format-nongpl\""}
-
-[package.extras]
-format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
-format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "rfc3987-syntax (>=1.1.0)", "uri-template", "webcolors (>=24.6.0)"]
-
-[[package]]
-name = "jsonschema-specifications"
-version = "2025.9.1"
-description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe"},
-    {file = "jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d"},
-]
-
-[package.dependencies]
-referencing = ">=0.31.0"
-
-[[package]]
-name = "jupyter-client"
-version = "8.8.0"
-description = "Jupyter protocol implementation and client libraries"
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-files = [
-    {file = "jupyter_client-8.8.0-py3-none-any.whl", hash = "sha256:f93a5b99c5e23a507b773d3a1136bd6e16c67883ccdbd9a829b0bbdb98cd7d7a"},
-    {file = "jupyter_client-8.8.0.tar.gz", hash = "sha256:d556811419a4f2d96c869af34e854e3f059b7cc2d6d01a9cd9c85c267691be3e"},
-]
-
-[package.dependencies]
-jupyter-core = ">=5.1"
-python-dateutil = ">=2.8.2"
-pyzmq = ">=25.0"
-tornado = ">=6.4.1"
-traitlets = ">=5.3"
-
-[package.extras]
-docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
-orjson = ["orjson"]
-test = ["anyio", "coverage", "ipykernel (>=6.14)", "msgpack", "mypy ; platform_python_implementation != \"PyPy\"", "paramiko ; sys_platform == \"win32\"", "pre-commit", "pytest", "pytest-cov", "pytest-jupyter[client] (>=0.6.2)", "pytest-timeout"]
-
-[[package]]
-name = "jupyter-core"
-version = "5.9.1"
-description = "Jupyter core package. A base package on which Jupyter projects rely."
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-files = [
-    {file = "jupyter_core-5.9.1-py3-none-any.whl", hash = "sha256:ebf87fdc6073d142e114c72c9e29a9d7ca03fad818c5d300ce2adc1fb0743407"},
-    {file = "jupyter_core-5.9.1.tar.gz", hash = "sha256:4d09aaff303b9566c3ce657f580bd089ff5c91f5f89cf7d8846c3cdf465b5508"},
-]
-
-[package.dependencies]
-platformdirs = ">=2.5"
-traitlets = ">=5.3"
-
-[package.extras]
-docs = ["intersphinx-registry", "myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-spelling", "traitlets"]
-test = ["ipykernel", "pre-commit", "pytest (<9)", "pytest-cov", "pytest-timeout"]
-
-[[package]]
-name = "jupyter-events"
-version = "0.12.0"
-description = "Jupyter Event System library"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "jupyter_events-0.12.0-py3-none-any.whl", hash = "sha256:6464b2fa5ad10451c3d35fabc75eab39556ae1e2853ad0c0cc31b656731a97fb"},
-    {file = "jupyter_events-0.12.0.tar.gz", hash = "sha256:fc3fce98865f6784c9cd0a56a20644fc6098f21c8c33834a8d9fe383c17e554b"},
-]
-
-[package.dependencies]
-jsonschema = {version = ">=4.18.0", extras = ["format-nongpl"]}
-packaging = "*"
-python-json-logger = ">=2.0.4"
-pyyaml = ">=5.3"
-referencing = "*"
-rfc3339-validator = "*"
-rfc3986-validator = ">=0.1.1"
-traitlets = ">=5.3"
-
-[package.extras]
-cli = ["click", "rich"]
-docs = ["jupyterlite-sphinx", "myst-parser", "pydata-sphinx-theme (>=0.16)", "sphinx (>=8)", "sphinxcontrib-spelling"]
-test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "pytest-console-scripts", "rich"]
-
-[[package]]
-name = "jupyter-lsp"
-version = "2.3.0"
-description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "jupyter_lsp-2.3.0-py3-none-any.whl", hash = "sha256:e914a3cb2addf48b1c7710914771aaf1819d46b2e5a79b0f917b5478ec93f34f"},
-    {file = "jupyter_lsp-2.3.0.tar.gz", hash = "sha256:458aa59339dc868fb784d73364f17dbce8836e906cd75fd471a325cba02e0245"},
-]
-
-[package.dependencies]
-jupyter_server = ">=1.1.2"
-
-[[package]]
-name = "jupyter-server"
-version = "2.17.0"
-description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "jupyter_server-2.17.0-py3-none-any.whl", hash = "sha256:e8cb9c7db4251f51ed307e329b81b72ccf2056ff82d50524debde1ee1870e13f"},
-    {file = "jupyter_server-2.17.0.tar.gz", hash = "sha256:c38ea898566964c888b4772ae1ed58eca84592e88251d2cfc4d171f81f7e99d5"},
-]
-
-[package.dependencies]
-anyio = ">=3.1.0"
-argon2-cffi = ">=21.1"
-jinja2 = ">=3.0.3"
-jupyter-client = ">=7.4.4"
-jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
-jupyter-events = ">=0.11.0"
-jupyter-server-terminals = ">=0.4.4"
-nbconvert = ">=6.4.4"
-nbformat = ">=5.3.0"
-overrides = {version = ">=5.0", markers = "python_version < \"3.12\""}
-packaging = ">=22.0"
-prometheus-client = ">=0.9"
-pywinpty = {version = ">=2.0.1", markers = "os_name == \"nt\""}
-pyzmq = ">=24"
-send2trash = ">=1.8.2"
-terminado = ">=0.8.3"
-tornado = ">=6.2.0"
-traitlets = ">=5.6.0"
-websocket-client = ">=1.7"
-
-[package.extras]
-docs = ["ipykernel", "jinja2", "jupyter-client", "myst-parser", "nbformat", "prometheus-client", "pydata-sphinx-theme", "send2trash", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-openapi (>=0.8.0)", "sphinxcontrib-spelling", "sphinxemoji", "tornado", "typing-extensions"]
-test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0,<9)", "pytest-console-scripts", "pytest-jupyter[server] (>=0.7)", "pytest-timeout", "requests"]
-
-[[package]]
-name = "jupyter-server-terminals"
-version = "0.5.4"
-description = "A Jupyter Server Extension Providing Terminals."
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "jupyter_server_terminals-0.5.4-py3-none-any.whl", hash = "sha256:55be353fc74a80bc7f3b20e6be50a55a61cd525626f578dcb66a5708e2007d14"},
-    {file = "jupyter_server_terminals-0.5.4.tar.gz", hash = "sha256:bbda128ed41d0be9020349f9f1f2a4ab9952a73ed5f5ac9f1419794761fb87f5"},
-]
-
-[package.dependencies]
-pywinpty = {version = ">=2.0.3", markers = "os_name == \"nt\""}
-terminado = ">=0.8.3"
-
-[package.extras]
-docs = ["jinja2", "jupyter-server", "mistune (<4.0)", "myst-parser", "nbformat", "packaging", "pydata-sphinx-theme", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"]
-test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>=0.5.3)", "pytest-timeout"]
-
-[[package]]
-name = "jupyterlab"
-version = "4.5.3"
-description = "JupyterLab computational environment"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "jupyterlab-4.5.3-py3-none-any.whl", hash = "sha256:63c9f3a48de72ba00df766ad6eed416394f5bb883829f11eeff0872302520ba7"},
-    {file = "jupyterlab-4.5.3.tar.gz", hash = "sha256:4a159f71067cb38e4a82e86a42de8e7e926f384d7f2291964f282282096d27e8"},
-]
-
-[package.dependencies]
-async-lru = ">=1.0.0"
-httpx = ">=0.25.0,<1"
-ipykernel = ">=6.5.0,<6.30.0 || >6.30.0"
-jinja2 = ">=3.0.3"
-jupyter-core = "*"
-jupyter-lsp = ">=2.0.0"
-jupyter-server = ">=2.4.0,<3"
-jupyterlab-server = ">=2.28.0,<3"
-notebook-shim = ">=0.2"
-packaging = "*"
-setuptools = ">=41.1.0"
-tomli = {version = ">=1.2.2", markers = "python_version < \"3.11\""}
-tornado = ">=6.2.0"
-traitlets = "*"
-
-[package.extras]
-dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.11.12)"]
-docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<8.2.0)", "sphinx-copybutton"]
-docs-screenshots = ["altair (==6.0.0)", "ipython (==8.16.1)", "ipywidgets (==8.1.5)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.3.post1)", "matplotlib (==3.10.0)", "nbconvert (>=7.0.0)", "pandas (==2.2.3)", "scipy (==1.15.1)"]
-test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
-upgrade-extension = ["copier (>=9,<10)", "jinja2-time (<0.3)", "pydantic (<3.0)", "pyyaml-include (<3.0)", "tomli-w (<2.0)"]
-
-[[package]]
-name = "jupyterlab-pygments"
-version = "0.3.0"
-description = "Pygments theme using JupyterLab CSS variables"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"},
-    {file = "jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"},
-]
-
-[[package]]
-name = "jupyterlab-server"
-version = "2.28.0"
-description = "A set of server components for JupyterLab and JupyterLab like applications."
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "jupyterlab_server-2.28.0-py3-none-any.whl", hash = "sha256:e4355b148fdcf34d312bbbc80f22467d6d20460e8b8736bf235577dd18506968"},
-    {file = "jupyterlab_server-2.28.0.tar.gz", hash = "sha256:35baa81898b15f93573e2deca50d11ac0ae407ebb688299d3a5213265033712c"},
-]
-
-[package.dependencies]
-babel = ">=2.10"
-jinja2 = ">=3.0.3"
-json5 = ">=0.9.0"
-jsonschema = ">=4.18.0"
-jupyter-server = ">=1.21,<3"
-packaging = ">=21.3"
-requests = ">=2.31"
-
-[package.extras]
-docs = ["autodoc-traits", "jinja2 (<3.2.0)", "mistune (<4)", "myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinxcontrib-openapi (>0.8)"]
-openapi = ["openapi-core (>=0.18.0,<0.19.0)", "ruamel-yaml"]
-test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-validator (>=0.6.0,<0.8.0)", "pytest (>=7.0,<8)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter[server] (>=0.6.2)", "pytest-timeout", "requests-mock", "ruamel-yaml", "sphinxcontrib-spelling", "strict-rfc3339", "werkzeug"]
-
-[[package]]
-name = "jupyterlab-widgets"
-version = "3.0.16"
-description = "Jupyter interactive widgets for JupyterLab"
-optional = false
-python-versions = ">=3.7"
-groups = ["dev"]
-files = [
-    {file = "jupyterlab_widgets-3.0.16-py3-none-any.whl", hash = "sha256:45fa36d9c6422cf2559198e4db481aa243c7a32d9926b500781c830c80f7ecf8"},
-    {file = "jupyterlab_widgets-3.0.16.tar.gz", hash = "sha256:423da05071d55cf27a9e602216d35a3a65a3e41cdf9c5d3b643b814ce38c19e0"},
-]
-
-[[package]]
-name = "kiwisolver"
-version = "1.4.9"
-description = "A fast implementation of the Cassowary constraint solver"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-files = [
-    {file = "kiwisolver-1.4.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b4b4d74bda2b8ebf4da5bd42af11d02d04428b2c32846e4c2c93219df8a7987b"},
-    {file = "kiwisolver-1.4.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:fb3b8132019ea572f4611d770991000d7f58127560c4889729248eb5852a102f"},
-    {file = "kiwisolver-1.4.9-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:84fd60810829c27ae375114cd379da1fa65e6918e1da405f356a775d49a62bcf"},
-    {file = "kiwisolver-1.4.9-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:b78efa4c6e804ecdf727e580dbb9cba85624d2e1c6b5cb059c66290063bd99a9"},
-    {file = "kiwisolver-1.4.9-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d4efec7bcf21671db6a3294ff301d2fc861c31faa3c8740d1a94689234d1b415"},
-    {file = "kiwisolver-1.4.9-cp310-cp310-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:90f47e70293fc3688b71271100a1a5453aa9944a81d27ff779c108372cf5567b"},
-    {file = "kiwisolver-1.4.9-cp310-cp310-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:8fdca1def57a2e88ef339de1737a1449d6dbf5fab184c54a1fca01d541317154"},
-    {file = "kiwisolver-1.4.9-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:9cf554f21be770f5111a1690d42313e140355e687e05cf82cb23d0a721a64a48"},
-    {file = "kiwisolver-1.4.9-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:fc1795ac5cd0510207482c3d1d3ed781143383b8cfd36f5c645f3897ce066220"},
-    {file = "kiwisolver-1.4.9-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:ccd09f20ccdbbd341b21a67ab50a119b64a403b09288c27481575105283c1586"},
-    {file = "kiwisolver-1.4.9-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:540c7c72324d864406a009d72f5d6856f49693db95d1fbb46cf86febef873634"},
-    {file = "kiwisolver-1.4.9-cp310-cp310-win_amd64.whl", hash = "sha256:ede8c6d533bc6601a47ad4046080d36b8fc99f81e6f1c17b0ac3c2dc91ac7611"},
-    {file = "kiwisolver-1.4.9-cp310-cp310-win_arm64.whl", hash = "sha256:7b4da0d01ac866a57dd61ac258c5607b4cd677f63abaec7b148354d2b2cdd536"},
-    {file = "kiwisolver-1.4.9-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:eb14a5da6dc7642b0f3a18f13654847cd8b7a2550e2645a5bda677862b03ba16"},
-    {file = "kiwisolver-1.4.9-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:39a219e1c81ae3b103643d2aedb90f1ef22650deb266ff12a19e7773f3e5f089"},
-    {file = "kiwisolver-1.4.9-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2405a7d98604b87f3fc28b1716783534b1b4b8510d8142adca34ee0bc3c87543"},
-    {file = "kiwisolver-1.4.9-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:dc1ae486f9abcef254b5618dfb4113dd49f94c68e3e027d03cf0143f3f772b61"},
-    {file = "kiwisolver-1.4.9-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8a1f570ce4d62d718dce3f179ee78dac3b545ac16c0c04bb363b7607a949c0d1"},
-    {file = "kiwisolver-1.4.9-cp311-cp311-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:cb27e7b78d716c591e88e0a09a2139c6577865d7f2e152488c2cc6257f460872"},
-    {file = "kiwisolver-1.4.9-cp311-cp311-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:15163165efc2f627eb9687ea5f3a28137217d217ac4024893d753f46bce9de26"},
-    {file = "kiwisolver-1.4.9-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bdee92c56a71d2b24c33a7d4c2856bd6419d017e08caa7802d2963870e315028"},
-    {file = "kiwisolver-1.4.9-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:412f287c55a6f54b0650bd9b6dce5aceddb95864a1a90c87af16979d37c89771"},
-    {file = "kiwisolver-1.4.9-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:2c93f00dcba2eea70af2be5f11a830a742fe6b579a1d4e00f47760ef13be247a"},
-    {file = "kiwisolver-1.4.9-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f117e1a089d9411663a3207ba874f31be9ac8eaa5b533787024dc07aeb74f464"},
-    {file = "kiwisolver-1.4.9-cp311-cp311-win_amd64.whl", hash = "sha256:be6a04e6c79819c9a8c2373317d19a96048e5a3f90bec587787e86a1153883c2"},
-    {file = "kiwisolver-1.4.9-cp311-cp311-win_arm64.whl", hash = "sha256:0ae37737256ba2de764ddc12aed4956460277f00c4996d51a197e72f62f5eec7"},
-    {file = "kiwisolver-1.4.9-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:ac5a486ac389dddcc5bef4f365b6ae3ffff2c433324fb38dd35e3fab7c957999"},
-    {file = "kiwisolver-1.4.9-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:f2ba92255faa7309d06fe44c3a4a97efe1c8d640c2a79a5ef728b685762a6fd2"},
-    {file = "kiwisolver-1.4.9-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4a2899935e724dd1074cb568ce7ac0dce28b2cd6ab539c8e001a8578eb106d14"},
-    {file = "kiwisolver-1.4.9-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f6008a4919fdbc0b0097089f67a1eb55d950ed7e90ce2cc3e640abadd2757a04"},
-    {file = "kiwisolver-1.4.9-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:67bb8b474b4181770f926f7b7d2f8c0248cbcb78b660fdd41a47054b28d2a752"},
-    {file = "kiwisolver-1.4.9-cp312-cp312-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:2327a4a30d3ee07d2fbe2e7933e8a37c591663b96ce42a00bc67461a87d7df77"},
-    {file = "kiwisolver-1.4.9-cp312-cp312-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:7a08b491ec91b1d5053ac177afe5290adacf1f0f6307d771ccac5de30592d198"},
-    {file = "kiwisolver-1.4.9-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d8fc5c867c22b828001b6a38d2eaeb88160bf5783c6cb4a5e440efc981ce286d"},
-    {file = "kiwisolver-1.4.9-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:3b3115b2581ea35bb6d1f24a4c90af37e5d9b49dcff267eeed14c3893c5b86ab"},
-    {file = "kiwisolver-1.4.9-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:858e4c22fb075920b96a291928cb7dea5644e94c0ee4fcd5af7e865655e4ccf2"},
-    {file = "kiwisolver-1.4.9-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:ed0fecd28cc62c54b262e3736f8bb2512d8dcfdc2bcf08be5f47f96bf405b145"},
-    {file = "kiwisolver-1.4.9-cp312-cp312-win_amd64.whl", hash = "sha256:f68208a520c3d86ea51acf688a3e3002615a7f0238002cccc17affecc86a8a54"},
-    {file = "kiwisolver-1.4.9-cp312-cp312-win_arm64.whl", hash = "sha256:2c1a4f57df73965f3f14df20b80ee29e6a7930a57d2d9e8491a25f676e197c60"},
-    {file = "kiwisolver-1.4.9-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:a5d0432ccf1c7ab14f9949eec60c5d1f924f17c037e9f8b33352fa05799359b8"},
-    {file = "kiwisolver-1.4.9-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efb3a45b35622bb6c16dbfab491a8f5a391fe0e9d45ef32f4df85658232ca0e2"},
-    {file = "kiwisolver-1.4.9-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:1a12cf6398e8a0a001a059747a1cbf24705e18fe413bc22de7b3d15c67cffe3f"},
-    {file = "kiwisolver-1.4.9-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b67e6efbf68e077dd71d1a6b37e43e1a99d0bff1a3d51867d45ee8908b931098"},
-    {file = "kiwisolver-1.4.9-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5656aa670507437af0207645273ccdfee4f14bacd7f7c67a4306d0dcaeaf6eed"},
-    {file = "kiwisolver-1.4.9-cp313-cp313-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:bfc08add558155345129c7803b3671cf195e6a56e7a12f3dde7c57d9b417f525"},
-    {file = "kiwisolver-1.4.9-cp313-cp313-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:40092754720b174e6ccf9e845d0d8c7d8e12c3d71e7fc35f55f3813e96376f78"},
-    {file = "kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:497d05f29a1300d14e02e6441cf0f5ee81c1ff5a304b0d9fb77423974684e08b"},
-    {file = "kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:bdd1a81a1860476eb41ac4bc1e07b3f07259e6d55bbf739b79c8aaedcf512799"},
-    {file = "kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:e6b93f13371d341afee3be9f7c5964e3fe61d5fa30f6a30eb49856935dfe4fc3"},
-    {file = "kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:d75aa530ccfaa593da12834b86a0724f58bff12706659baa9227c2ccaa06264c"},
-    {file = "kiwisolver-1.4.9-cp313-cp313-win_amd64.whl", hash = "sha256:dd0a578400839256df88c16abddf9ba14813ec5f21362e1fe65022e00c883d4d"},
-    {file = "kiwisolver-1.4.9-cp313-cp313-win_arm64.whl", hash = "sha256:d4188e73af84ca82468f09cadc5ac4db578109e52acb4518d8154698d3a87ca2"},
-    {file = "kiwisolver-1.4.9-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:5a0f2724dfd4e3b3ac5a82436a8e6fd16baa7d507117e4279b660fe8ca38a3a1"},
-    {file = "kiwisolver-1.4.9-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:1b11d6a633e4ed84fc0ddafd4ebfd8ea49b3f25082c04ad12b8315c11d504dc1"},
-    {file = "kiwisolver-1.4.9-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:61874cdb0a36016354853593cffc38e56fc9ca5aa97d2c05d3dcf6922cd55a11"},
-    {file = "kiwisolver-1.4.9-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:60c439763a969a6af93b4881db0eed8fadf93ee98e18cbc35bc8da868d0c4f0c"},
-    {file = "kiwisolver-1.4.9-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:92a2f997387a1b79a75e7803aa7ded2cfbe2823852ccf1ba3bcf613b62ae3197"},
-    {file = "kiwisolver-1.4.9-cp313-cp313t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a31d512c812daea6d8b3be3b2bfcbeb091dbb09177706569bcfc6240dcf8b41c"},
-    {file = "kiwisolver-1.4.9-cp313-cp313t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:52a15b0f35dad39862d376df10c5230155243a2c1a436e39eb55623ccbd68185"},
-    {file = "kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:a30fd6fdef1430fd9e1ba7b3398b5ee4e2887783917a687d86ba69985fb08748"},
-    {file = "kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:cc9617b46837c6468197b5945e196ee9ca43057bb7d9d1ae688101e4e1dddf64"},
-    {file = "kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:0ab74e19f6a2b027ea4f845a78827969af45ce790e6cb3e1ebab71bdf9f215ff"},
-    {file = "kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:dba5ee5d3981160c28d5490f0d1b7ed730c22470ff7f6cc26cfcfaacb9896a07"},
-    {file = "kiwisolver-1.4.9-cp313-cp313t-win_arm64.whl", hash = "sha256:0749fd8f4218ad2e851e11cc4dc05c7cbc0cbc4267bdfdb31782e65aace4ee9c"},
-    {file = "kiwisolver-1.4.9-cp314-cp314-macosx_10_13_universal2.whl", hash = "sha256:9928fe1eb816d11ae170885a74d074f57af3a0d65777ca47e9aeb854a1fba386"},
-    {file = "kiwisolver-1.4.9-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:d0005b053977e7b43388ddec89fa567f43d4f6d5c2c0affe57de5ebf290dc552"},
-    {file = "kiwisolver-1.4.9-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:2635d352d67458b66fd0667c14cb1d4145e9560d503219034a18a87e971ce4f3"},
-    {file = "kiwisolver-1.4.9-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:767c23ad1c58c9e827b649a9ab7809fd5fd9db266a9cf02b0e926ddc2c680d58"},
-    {file = "kiwisolver-1.4.9-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:72d0eb9fba308b8311685c2268cf7d0a0639a6cd027d8128659f72bdd8a024b4"},
-    {file = "kiwisolver-1.4.9-cp314-cp314-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f68e4f3eeca8fb22cc3d731f9715a13b652795ef657a13df1ad0c7dc0e9731df"},
-    {file = "kiwisolver-1.4.9-cp314-cp314-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d84cd4061ae292d8ac367b2c3fa3aad11cb8625a95d135fe93f286f914f3f5a6"},
-    {file = "kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:a60ea74330b91bd22a29638940d115df9dc00af5035a9a2a6ad9399ffb4ceca5"},
-    {file = "kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:ce6a3a4e106cf35c2d9c4fa17c05ce0b180db622736845d4315519397a77beaf"},
-    {file = "kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:77937e5e2a38a7b48eef0585114fe7930346993a88060d0bf886086d2aa49ef5"},
-    {file = "kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:24c175051354f4a28c5d6a31c93906dc653e2bf234e8a4bbfb964892078898ce"},
-    {file = "kiwisolver-1.4.9-cp314-cp314-win_amd64.whl", hash = "sha256:0763515d4df10edf6d06a3c19734e2566368980d21ebec439f33f9eb936c07b7"},
-    {file = "kiwisolver-1.4.9-cp314-cp314-win_arm64.whl", hash = "sha256:0e4e2bf29574a6a7b7f6cb5fa69293b9f96c928949ac4a53ba3f525dffb87f9c"},
-    {file = "kiwisolver-1.4.9-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:d976bbb382b202f71c67f77b0ac11244021cfa3f7dfd9e562eefcea2df711548"},
-    {file = "kiwisolver-1.4.9-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:2489e4e5d7ef9a1c300a5e0196e43d9c739f066ef23270607d45aba368b91f2d"},
-    {file = "kiwisolver-1.4.9-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:e2ea9f7ab7fbf18fffb1b5434ce7c69a07582f7acc7717720f1d69f3e806f90c"},
-    {file = "kiwisolver-1.4.9-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b34e51affded8faee0dfdb705416153819d8ea9250bbbf7ea1b249bdeb5f1122"},
-    {file = "kiwisolver-1.4.9-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d8aacd3d4b33b772542b2e01beb50187536967b514b00003bdda7589722d2a64"},
-    {file = "kiwisolver-1.4.9-cp314-cp314t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:7cf974dd4e35fa315563ac99d6287a1024e4dc2077b8a7d7cd3d2fb65d283134"},
-    {file = "kiwisolver-1.4.9-cp314-cp314t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:85bd218b5ecfbee8c8a82e121802dcb519a86044c9c3b2e4aef02fa05c6da370"},
-    {file = "kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:0856e241c2d3df4efef7c04a1e46b1936b6120c9bcf36dd216e3acd84bc4fb21"},
-    {file = "kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_ppc64le.whl", hash = "sha256:9af39d6551f97d31a4deebeac6f45b156f9755ddc59c07b402c148f5dbb6482a"},
-    {file = "kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_s390x.whl", hash = "sha256:bb4ae2b57fc1d8cbd1cf7b1d9913803681ffa903e7488012be5b76dedf49297f"},
-    {file = "kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:aedff62918805fb62d43a4aa2ecd4482c380dc76cd31bd7c8878588a61bd0369"},
-    {file = "kiwisolver-1.4.9-cp314-cp314t-win_amd64.whl", hash = "sha256:1fa333e8b2ce4d9660f2cda9c0e1b6bafcfb2457a9d259faa82289e73ec24891"},
-    {file = "kiwisolver-1.4.9-cp314-cp314t-win_arm64.whl", hash = "sha256:4a48a2ce79d65d363597ef7b567ce3d14d68783d2b2263d98db3d9477805ba32"},
-    {file = "kiwisolver-1.4.9-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:4d1d9e582ad4d63062d34077a9a1e9f3c34088a2ec5135b1f7190c07cf366527"},
-    {file = "kiwisolver-1.4.9-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:deed0c7258ceb4c44ad5ec7d9918f9f14fd05b2be86378d86cf50e63d1e7b771"},
-    {file = "kiwisolver-1.4.9-pp310-pypy310_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0a590506f303f512dff6b7f75fd2fd18e16943efee932008fe7140e5fa91d80e"},
-    {file = "kiwisolver-1.4.9-pp310-pypy310_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e09c2279a4d01f099f52d5c4b3d9e208e91edcbd1a175c9662a8b16e000fece9"},
-    {file = "kiwisolver-1.4.9-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:c9e7cdf45d594ee04d5be1b24dd9d49f3d1590959b2271fb30b5ca2b262c00fb"},
-    {file = "kiwisolver-1.4.9-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:720e05574713db64c356e86732c0f3c5252818d05f9df320f0ad8380641acea5"},
-    {file = "kiwisolver-1.4.9-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:17680d737d5335b552994a2008fab4c851bcd7de33094a82067ef3a576ff02fa"},
-    {file = "kiwisolver-1.4.9-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:85b5352f94e490c028926ea567fc569c52ec79ce131dadb968d3853e809518c2"},
-    {file = "kiwisolver-1.4.9-pp311-pypy311_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:464415881e4801295659462c49461a24fb107c140de781d55518c4b80cb6790f"},
-    {file = "kiwisolver-1.4.9-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:fb940820c63a9590d31d88b815e7a3aa5915cad3ce735ab45f0c730b39547de1"},
-    {file = "kiwisolver-1.4.9.tar.gz", hash = "sha256:c3b22c26c6fd6811b0ae8363b95ca8ce4ea3c202d3d0975b2914310ceb1bcc4d"},
-]
-
-[[package]]
-name = "lark"
-version = "1.3.1"
-description = "a modern parsing library"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "lark-1.3.1-py3-none-any.whl", hash = "sha256:c629b661023a014c37da873b4ff58a817398d12635d3bbb2c5a03be7fe5d1e12"},
-    {file = "lark-1.3.1.tar.gz", hash = "sha256:b426a7a6d6d53189d318f2b6236ab5d6429eaf09259f1ca33eb716eed10d2905"},
-]
-
-[package.extras]
-atomic-cache = ["atomicwrites"]
-interegular = ["interegular (>=0.3.1,<0.4.0)"]
-nearley = ["js2py"]
-regex = ["regex"]
-
-[[package]]
-name = "lazy-loader"
-version = "0.4"
-description = "Makes it easy to load subpackages and functions on demand."
-optional = false
-python-versions = ">=3.7"
-groups = ["main"]
-files = [
-    {file = "lazy_loader-0.4-py3-none-any.whl", hash = "sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc"},
-    {file = "lazy_loader-0.4.tar.gz", hash = "sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1"},
-]
-
-[package.dependencies]
-packaging = "*"
-
-[package.extras]
-dev = ["changelist (==0.5)"]
-lint = ["pre-commit (==3.7.0)"]
-test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"]
-
-[[package]]
-name = "linkify-it-py"
-version = "2.0.3"
-description = "Links recognition library with FULL unicode support."
-optional = false
-python-versions = ">=3.7"
-groups = ["shiny"]
-files = [
-    {file = "linkify-it-py-2.0.3.tar.gz", hash = "sha256:68cda27e162e9215c17d786649d1da0021a451bdc436ef9e0fa0ba5234b9b048"},
-    {file = "linkify_it_py-2.0.3-py3-none-any.whl", hash = "sha256:6bcbc417b0ac14323382aef5c5192c0075bf8a9d6b41820a2b66371eac6b6d79"},
-]
-
-[package.dependencies]
-uc-micro-py = "*"
-
-[package.extras]
-benchmark = ["pytest", "pytest-benchmark"]
-dev = ["black", "flake8", "isort", "pre-commit", "pyproject-flake8"]
-doc = ["myst-parser", "sphinx", "sphinx-book-theme"]
-test = ["coverage", "pytest", "pytest-cov"]
-
-[[package]]
-name = "livereload"
-version = "2.7.1"
-description = "Python LiveReload is an awesome tool for web developers"
-optional = false
-python-versions = ">=3.7"
-groups = ["dev"]
-files = [
-    {file = "livereload-2.7.1-py3-none-any.whl", hash = "sha256:5201740078c1b9433f4b2ba22cd2729a39b9d0ec0a2cc6b4d3df257df5ad0564"},
-    {file = "livereload-2.7.1.tar.gz", hash = "sha256:3d9bf7c05673df06e32bea23b494b8d36ca6d10f7d5c3c8a6989608c09c986a9"},
-]
-
-[package.dependencies]
-tornado = "*"
-
-[[package]]
-name = "llvmlite"
-version = "0.46.0"
-description = "lightweight wrapper around basic LLVM functionality"
-optional = false
-python-versions = ">=3.10"
-groups = ["optim-numba"]
-files = [
-    {file = "llvmlite-0.46.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4323177e936d61ae0f73e653e2e614284d97d14d5dd12579adc92b6c2b0597b0"},
-    {file = "llvmlite-0.46.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0a2d461cb89537b7c20feb04c46c32e12d5ad4f0896c9dfc0f60336219ff248e"},
-    {file = "llvmlite-0.46.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b1f6595a35b7b39c3518b85a28bf18f45e075264e4b2dce3f0c2a4f232b4a910"},
-    {file = "llvmlite-0.46.0-cp310-cp310-win_amd64.whl", hash = "sha256:e7a34d4aa6f9a97ee006b504be6d2b8cb7f755b80ab2f344dda1ef992f828559"},
-    {file = "llvmlite-0.46.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:82f3d39b16f19aa1a56d5fe625883a6ab600d5cc9ea8906cca70ce94cabba067"},
-    {file = "llvmlite-0.46.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a3df43900119803bbc52720e758c76f316a9a0f34612a886862dfe0a5591a17e"},
-    {file = "llvmlite-0.46.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:de183fefc8022d21b0aa37fc3e90410bc3524aed8617f0ff76732fc6c3af5361"},
-    {file = "llvmlite-0.46.0-cp311-cp311-win_amd64.whl", hash = "sha256:e8b10bc585c58bdffec9e0c309bb7d51be1f2f15e169a4b4d42f2389e431eb93"},
-    {file = "llvmlite-0.46.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6b9588ad4c63b4f0175a3984b85494f0c927c6b001e3a246a3a7fb3920d9a137"},
-    {file = "llvmlite-0.46.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3535bd2bb6a2d7ae4012681ac228e5132cdb75fefb1bcb24e33f2f3e0c865ed4"},
-    {file = "llvmlite-0.46.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4cbfd366e60ff87ea6cc62f50bc4cd800ebb13ed4c149466f50cf2163a473d1e"},
-    {file = "llvmlite-0.46.0-cp312-cp312-win_amd64.whl", hash = "sha256:398b39db462c39563a97b912d4f2866cd37cba60537975a09679b28fbbc0fb38"},
-    {file = "llvmlite-0.46.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:30b60892d034bc560e0ec6654737aaa74e5ca327bd8114d82136aa071d611172"},
-    {file = "llvmlite-0.46.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6cc19b051753368a9c9f31dc041299059ee91aceec81bd57b0e385e5d5bf1a54"},
-    {file = "llvmlite-0.46.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bca185892908f9ede48c0acd547fe4dc1bafefb8a4967d47db6cf664f9332d12"},
-    {file = "llvmlite-0.46.0-cp313-cp313-win_amd64.whl", hash = "sha256:67438fd30e12349ebb054d86a5a1a57fd5e87d264d2451bcfafbbbaa25b82a35"},
-    {file = "llvmlite-0.46.0-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:d252edfb9f4ac1fcf20652258e3f102b26b03eef738dc8a6ffdab7d7d341d547"},
-    {file = "llvmlite-0.46.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:379fdd1c59badeff8982cb47e4694a6143bec3bb49aa10a466e095410522064d"},
-    {file = "llvmlite-0.46.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2e8cbfff7f6db0fa2c771ad24154e2a7e457c2444d7673e6de06b8b698c3b269"},
-    {file = "llvmlite-0.46.0-cp314-cp314-win_amd64.whl", hash = "sha256:7821eda3ec1f18050f981819756631d60b6d7ab1a6cf806d9efefbe3f4082d61"},
-    {file = "llvmlite-0.46.0.tar.gz", hash = "sha256:227c9fd6d09dce2783c18b754b7cd9d9b3b3515210c46acc2d3c5badd9870ceb"},
-]
-
-[[package]]
-name = "markdown"
-version = "3.10.1"
-description = "Python implementation of John Gruber's Markdown."
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-files = [
-    {file = "markdown-3.10.1-py3-none-any.whl", hash = "sha256:867d788939fe33e4b736426f5b9f651ad0c0ae0ecf89df0ca5d1176c70812fe3"},
-    {file = "markdown-3.10.1.tar.gz", hash = "sha256:1c19c10bd5c14ac948c53d0d762a04e2fa35a6d58a6b7b1e6bfcbe6fefc0001a"},
-]
-
-[package.extras]
-docs = ["mdx_gh_links (>=0.2)", "mkdocs (>=1.6)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python] (>=0.28.3)"]
-testing = ["coverage", "pyyaml"]
-
-[[package]]
-name = "markdown-it-py"
-version = "4.0.0"
-description = "Python port of markdown-it. Markdown parsing, done right!"
-optional = false
-python-versions = ">=3.10"
-groups = ["main", "shiny"]
-files = [
-    {file = "markdown_it_py-4.0.0-py3-none-any.whl", hash = "sha256:87327c59b172c5011896038353a81343b6754500a08cd7a4973bb48c6d578147"},
-    {file = "markdown_it_py-4.0.0.tar.gz", hash = "sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3"},
-]
-
-[package.dependencies]
-mdurl = ">=0.1,<1.0"
-
-[package.extras]
-benchmarking = ["psutil", "pytest", "pytest-benchmark"]
-compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "markdown-it-pyrs", "mistletoe (>=1.0,<2.0)", "mistune (>=3.0,<4.0)", "panflute (>=2.3,<3.0)"]
-linkify = ["linkify-it-py (>=1,<3)"]
-plugins = ["mdit-py-plugins (>=0.5.0)"]
-profiling = ["gprof2dot"]
-rtd = ["ipykernel", "jupyter_sphinx", "mdit-py-plugins (>=0.5.0)", "myst-parser", "pyyaml", "sphinx", "sphinx-book-theme (>=1.0,<2.0)", "sphinx-copybutton", "sphinx-design"]
-testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions", "requests"]
-
-[[package]]
-name = "markupsafe"
-version = "3.0.3"
-description = "Safely add untrusted strings to HTML/XML markup."
-optional = false
-python-versions = ">=3.9"
-groups = ["main", "dev", "optim-torch"]
-files = [
-    {file = "markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559"},
-    {file = "markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419"},
-    {file = "markupsafe-3.0.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1ba88449deb3de88bd40044603fafffb7bc2b055d626a330323a9ed736661695"},
-    {file = "markupsafe-3.0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f42d0984e947b8adf7dd6dde396e720934d12c506ce84eea8476409563607591"},
-    {file = "markupsafe-3.0.3-cp310-cp310-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:c0c0b3ade1c0b13b936d7970b1d37a57acde9199dc2aecc4c336773e1d86049c"},
-    {file = "markupsafe-3.0.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:0303439a41979d9e74d18ff5e2dd8c43ed6c6001fd40e5bf2e43f7bd9bbc523f"},
-    {file = "markupsafe-3.0.3-cp310-cp310-musllinux_1_2_riscv64.whl", hash = "sha256:d2ee202e79d8ed691ceebae8e0486bd9a2cd4794cec4824e1c99b6f5009502f6"},
-    {file = "markupsafe-3.0.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:177b5253b2834fe3678cb4a5f0059808258584c559193998be2601324fdeafb1"},
-    {file = "markupsafe-3.0.3-cp310-cp310-win32.whl", hash = "sha256:2a15a08b17dd94c53a1da0438822d70ebcd13f8c3a95abe3a9ef9f11a94830aa"},
-    {file = "markupsafe-3.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:c4ffb7ebf07cfe8931028e3e4c85f0357459a3f9f9490886198848f4fa002ec8"},
-    {file = "markupsafe-3.0.3-cp310-cp310-win_arm64.whl", hash = "sha256:e2103a929dfa2fcaf9bb4e7c091983a49c9ac3b19c9061b6d5427dd7d14d81a1"},
-    {file = "markupsafe-3.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1cc7ea17a6824959616c525620e387f6dd30fec8cb44f649e31712db02123dad"},
-    {file = "markupsafe-3.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4bd4cd07944443f5a265608cc6aab442e4f74dff8088b0dfc8238647b8f6ae9a"},
-    {file = "markupsafe-3.0.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6b5420a1d9450023228968e7e6a9ce57f65d148ab56d2313fcd589eee96a7a50"},
-    {file = "markupsafe-3.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0bf2a864d67e76e5c9a34dc26ec616a66b9888e25e7b9460e1c76d3293bd9dbf"},
-    {file = "markupsafe-3.0.3-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:bc51efed119bc9cfdf792cdeaa4d67e8f6fcccab66ed4bfdd6bde3e59bfcbb2f"},
-    {file = "markupsafe-3.0.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:068f375c472b3e7acbe2d5318dea141359e6900156b5b2ba06a30b169086b91a"},
-    {file = "markupsafe-3.0.3-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:7be7b61bb172e1ed687f1754f8e7484f1c8019780f6f6b0786e76bb01c2ae115"},
-    {file = "markupsafe-3.0.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f9e130248f4462aaa8e2552d547f36ddadbeaa573879158d721bbd33dfe4743a"},
-    {file = "markupsafe-3.0.3-cp311-cp311-win32.whl", hash = "sha256:0db14f5dafddbb6d9208827849fad01f1a2609380add406671a26386cdf15a19"},
-    {file = "markupsafe-3.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:de8a88e63464af587c950061a5e6a67d3632e36df62b986892331d4620a35c01"},
-    {file = "markupsafe-3.0.3-cp311-cp311-win_arm64.whl", hash = "sha256:3b562dd9e9ea93f13d53989d23a7e775fdfd1066c33494ff43f5418bc8c58a5c"},
-    {file = "markupsafe-3.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d53197da72cc091b024dd97249dfc7794d6a56530370992a5e1a08983ad9230e"},
-    {file = "markupsafe-3.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1872df69a4de6aead3491198eaf13810b565bdbeec3ae2dc8780f14458ec73ce"},
-    {file = "markupsafe-3.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3a7e8ae81ae39e62a41ec302f972ba6ae23a5c5396c8e60113e9066ef893da0d"},
-    {file = "markupsafe-3.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d6dd0be5b5b189d31db7cda48b91d7e0a9795f31430b7f271219ab30f1d3ac9d"},
-    {file = "markupsafe-3.0.3-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:94c6f0bb423f739146aec64595853541634bde58b2135f27f61c1ffd1cd4d16a"},
-    {file = "markupsafe-3.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:be8813b57049a7dc738189df53d69395eba14fb99345e0a5994914a3864c8a4b"},
-    {file = "markupsafe-3.0.3-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:83891d0e9fb81a825d9a6d61e3f07550ca70a076484292a70fde82c4b807286f"},
-    {file = "markupsafe-3.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:77f0643abe7495da77fb436f50f8dab76dbc6e5fd25d39589a0f1fe6548bfa2b"},
-    {file = "markupsafe-3.0.3-cp312-cp312-win32.whl", hash = "sha256:d88b440e37a16e651bda4c7c2b930eb586fd15ca7406cb39e211fcff3bf3017d"},
-    {file = "markupsafe-3.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:26a5784ded40c9e318cfc2bdb30fe164bdb8665ded9cd64d500a34fb42067b1c"},
-    {file = "markupsafe-3.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:35add3b638a5d900e807944a078b51922212fb3dedb01633a8defc4b01a3c85f"},
-    {file = "markupsafe-3.0.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e1cf1972137e83c5d4c136c43ced9ac51d0e124706ee1c8aa8532c1287fa8795"},
-    {file = "markupsafe-3.0.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:116bb52f642a37c115f517494ea5feb03889e04df47eeff5b130b1808ce7c219"},
-    {file = "markupsafe-3.0.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:133a43e73a802c5562be9bbcd03d090aa5a1fe899db609c29e8c8d815c5f6de6"},
-    {file = "markupsafe-3.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ccfcd093f13f0f0b7fdd0f198b90053bf7b2f02a3927a30e63f3ccc9df56b676"},
-    {file = "markupsafe-3.0.3-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:509fa21c6deb7a7a273d629cf5ec029bc209d1a51178615ddf718f5918992ab9"},
-    {file = "markupsafe-3.0.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a4afe79fb3de0b7097d81da19090f4df4f8d3a2b3adaa8764138aac2e44f3af1"},
-    {file = "markupsafe-3.0.3-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:795e7751525cae078558e679d646ae45574b47ed6e7771863fcc079a6171a0fc"},
-    {file = "markupsafe-3.0.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8485f406a96febb5140bfeca44a73e3ce5116b2501ac54fe953e488fb1d03b12"},
-    {file = "markupsafe-3.0.3-cp313-cp313-win32.whl", hash = "sha256:bdd37121970bfd8be76c5fb069c7751683bdf373db1ed6c010162b2a130248ed"},
-    {file = "markupsafe-3.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:9a1abfdc021a164803f4d485104931fb8f8c1efd55bc6b748d2f5774e78b62c5"},
-    {file = "markupsafe-3.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:7e68f88e5b8799aa49c85cd116c932a1ac15caaa3f5db09087854d218359e485"},
-    {file = "markupsafe-3.0.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:218551f6df4868a8d527e3062d0fb968682fe92054e89978594c28e642c43a73"},
-    {file = "markupsafe-3.0.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3524b778fe5cfb3452a09d31e7b5adefeea8c5be1d43c4f810ba09f2ceb29d37"},
-    {file = "markupsafe-3.0.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4e885a3d1efa2eadc93c894a21770e4bc67899e3543680313b09f139e149ab19"},
-    {file = "markupsafe-3.0.3-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8709b08f4a89aa7586de0aadc8da56180242ee0ada3999749b183aa23df95025"},
-    {file = "markupsafe-3.0.3-cp313-cp313t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:b8512a91625c9b3da6f127803b166b629725e68af71f8184ae7e7d54686a56d6"},
-    {file = "markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9b79b7a16f7fedff2495d684f2b59b0457c3b493778c9eed31111be64d58279f"},
-    {file = "markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_riscv64.whl", hash = "sha256:12c63dfb4a98206f045aa9563db46507995f7ef6d83b2f68eda65c307c6829eb"},
-    {file = "markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8f71bc33915be5186016f675cd83a1e08523649b0e33efdb898db577ef5bb009"},
-    {file = "markupsafe-3.0.3-cp313-cp313t-win32.whl", hash = "sha256:69c0b73548bc525c8cb9a251cddf1931d1db4d2258e9599c28c07ef3580ef354"},
-    {file = "markupsafe-3.0.3-cp313-cp313t-win_amd64.whl", hash = "sha256:1b4b79e8ebf6b55351f0d91fe80f893b4743f104bff22e90697db1590e47a218"},
-    {file = "markupsafe-3.0.3-cp313-cp313t-win_arm64.whl", hash = "sha256:ad2cf8aa28b8c020ab2fc8287b0f823d0a7d8630784c31e9ee5edea20f406287"},
-    {file = "markupsafe-3.0.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:eaa9599de571d72e2daf60164784109f19978b327a3910d3e9de8c97b5b70cfe"},
-    {file = "markupsafe-3.0.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c47a551199eb8eb2121d4f0f15ae0f923d31350ab9280078d1e5f12b249e0026"},
-    {file = "markupsafe-3.0.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f34c41761022dd093b4b6896d4810782ffbabe30f2d443ff5f083e0cbbb8c737"},
-    {file = "markupsafe-3.0.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:457a69a9577064c05a97c41f4e65148652db078a3a509039e64d3467b9e7ef97"},
-    {file = "markupsafe-3.0.3-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:e8afc3f2ccfa24215f8cb28dcf43f0113ac3c37c2f0f0806d8c70e4228c5cf4d"},
-    {file = "markupsafe-3.0.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:ec15a59cf5af7be74194f7ab02d0f59a62bdcf1a537677ce67a2537c9b87fcda"},
-    {file = "markupsafe-3.0.3-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:0eb9ff8191e8498cca014656ae6b8d61f39da5f95b488805da4bb029cccbfbaf"},
-    {file = "markupsafe-3.0.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:2713baf880df847f2bece4230d4d094280f4e67b1e813eec43b4c0e144a34ffe"},
-    {file = "markupsafe-3.0.3-cp314-cp314-win32.whl", hash = "sha256:729586769a26dbceff69f7a7dbbf59ab6572b99d94576a5592625d5b411576b9"},
-    {file = "markupsafe-3.0.3-cp314-cp314-win_amd64.whl", hash = "sha256:bdc919ead48f234740ad807933cdf545180bfbe9342c2bb451556db2ed958581"},
-    {file = "markupsafe-3.0.3-cp314-cp314-win_arm64.whl", hash = "sha256:5a7d5dc5140555cf21a6fefbdbf8723f06fcd2f63ef108f2854de715e4422cb4"},
-    {file = "markupsafe-3.0.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:1353ef0c1b138e1907ae78e2f6c63ff67501122006b0f9abad68fda5f4ffc6ab"},
-    {file = "markupsafe-3.0.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:1085e7fbddd3be5f89cc898938f42c0b3c711fdcb37d75221de2666af647c175"},
-    {file = "markupsafe-3.0.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1b52b4fb9df4eb9ae465f8d0c228a00624de2334f216f178a995ccdcf82c4634"},
-    {file = "markupsafe-3.0.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fed51ac40f757d41b7c48425901843666a6677e3e8eb0abcff09e4ba6e664f50"},
-    {file = "markupsafe-3.0.3-cp314-cp314t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:f190daf01f13c72eac4efd5c430a8de82489d9cff23c364c3ea822545032993e"},
-    {file = "markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:e56b7d45a839a697b5eb268c82a71bd8c7f6c94d6fd50c3d577fa39a9f1409f5"},
-    {file = "markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:f3e98bb3798ead92273dc0e5fd0f31ade220f59a266ffd8a4f6065e0a3ce0523"},
-    {file = "markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:5678211cb9333a6468fb8d8be0305520aa073f50d17f089b5b4b477ea6e67fdc"},
-    {file = "markupsafe-3.0.3-cp314-cp314t-win32.whl", hash = "sha256:915c04ba3851909ce68ccc2b8e2cd691618c4dc4c4232fb7982bca3f41fd8c3d"},
-    {file = "markupsafe-3.0.3-cp314-cp314t-win_amd64.whl", hash = "sha256:4faffd047e07c38848ce017e8725090413cd80cbc23d86e55c587bf979e579c9"},
-    {file = "markupsafe-3.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:32001d6a8fc98c8cb5c947787c5d08b0a50663d139f1305bac5885d98d9b40fa"},
-    {file = "markupsafe-3.0.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:15d939a21d546304880945ca1ecb8a039db6b4dc49b2c5a400387cdae6a62e26"},
-    {file = "markupsafe-3.0.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f71a396b3bf33ecaa1626c255855702aca4d3d9fea5e051b41ac59a9c1c41edc"},
-    {file = "markupsafe-3.0.3-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0f4b68347f8c5eab4a13419215bdfd7f8c9b19f2b25520968adfad23eb0ce60c"},
-    {file = "markupsafe-3.0.3-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e8fc20152abba6b83724d7ff268c249fa196d8259ff481f3b1476383f8f24e42"},
-    {file = "markupsafe-3.0.3-cp39-cp39-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:949b8d66bc381ee8b007cd945914c721d9aba8e27f71959d750a46f7c282b20b"},
-    {file = "markupsafe-3.0.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:3537e01efc9d4dccdf77221fb1cb3b8e1a38d5428920e0657ce299b20324d758"},
-    {file = "markupsafe-3.0.3-cp39-cp39-musllinux_1_2_riscv64.whl", hash = "sha256:591ae9f2a647529ca990bc681daebdd52c8791ff06c2bfa05b65163e28102ef2"},
-    {file = "markupsafe-3.0.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:a320721ab5a1aba0a233739394eb907f8c8da5c98c9181d1161e77a0c8e36f2d"},
-    {file = "markupsafe-3.0.3-cp39-cp39-win32.whl", hash = "sha256:df2449253ef108a379b8b5d6b43f4b1a8e81a061d6537becd5582fba5f9196d7"},
-    {file = "markupsafe-3.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:7c3fb7d25180895632e5d3148dbdc29ea38ccb7fd210aa27acbd1201a1902c6e"},
-    {file = "markupsafe-3.0.3-cp39-cp39-win_arm64.whl", hash = "sha256:38664109c14ffc9e7437e86b4dceb442b0096dfe3541d7864d9cbe1da4cf36c8"},
-    {file = "markupsafe-3.0.3.tar.gz", hash = "sha256:722695808f4b6457b320fdc131280796bdceb04ab50fe1795cd540799ebe1698"},
-]
-
-[[package]]
-name = "matplotlib"
-version = "3.10.8"
-description = "Python plotting package"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-files = [
-    {file = "matplotlib-3.10.8-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:00270d217d6b20d14b584c521f810d60c5c78406dc289859776550df837dcda7"},
-    {file = "matplotlib-3.10.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:37b3c1cc42aa184b3f738cfa18c1c1d72fd496d85467a6cf7b807936d39aa656"},
-    {file = "matplotlib-3.10.8-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ee40c27c795bda6a5292e9cff9890189d32f7e3a0bf04e0e3c9430c4a00c37df"},
-    {file = "matplotlib-3.10.8-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a48f2b74020919552ea25d222d5cc6af9ca3f4eb43a93e14d068457f545c2a17"},
-    {file = "matplotlib-3.10.8-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f254d118d14a7f99d616271d6c3c27922c092dac11112670b157798b89bf4933"},
-    {file = "matplotlib-3.10.8-cp310-cp310-win_amd64.whl", hash = "sha256:f9b587c9c7274c1613a30afabf65a272114cd6cdbe67b3406f818c79d7ab2e2a"},
-    {file = "matplotlib-3.10.8-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:6be43b667360fef5c754dda5d25a32e6307a03c204f3c0fc5468b78fa87b4160"},
-    {file = "matplotlib-3.10.8-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a2b336e2d91a3d7006864e0990c83b216fcdca64b5a6484912902cef87313d78"},
-    {file = "matplotlib-3.10.8-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:efb30e3baaea72ce5928e32bab719ab4770099079d66726a62b11b1ef7273be4"},
-    {file = "matplotlib-3.10.8-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d56a1efd5bfd61486c8bc968fa18734464556f0fb8e51690f4ac25d85cbbbbc2"},
-    {file = "matplotlib-3.10.8-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:238b7ce5717600615c895050239ec955d91f321c209dd110db988500558e70d6"},
-    {file = "matplotlib-3.10.8-cp311-cp311-win_amd64.whl", hash = "sha256:18821ace09c763ec93aef5eeff087ee493a24051936d7b9ebcad9662f66501f9"},
-    {file = "matplotlib-3.10.8-cp311-cp311-win_arm64.whl", hash = "sha256:bab485bcf8b1c7d2060b4fcb6fc368a9e6f4cd754c9c2fea281f4be21df394a2"},
-    {file = "matplotlib-3.10.8-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:64fcc24778ca0404ce0cb7b6b77ae1f4c7231cdd60e6778f999ee05cbd581b9a"},
-    {file = "matplotlib-3.10.8-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b9a5ca4ac220a0cdd1ba6bcba3608547117d30468fefce49bb26f55c1a3d5c58"},
-    {file = "matplotlib-3.10.8-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3ab4aabc72de4ff77b3ec33a6d78a68227bf1123465887f9905ba79184a1cc04"},
-    {file = "matplotlib-3.10.8-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:24d50994d8c5816ddc35411e50a86ab05f575e2530c02752e02538122613371f"},
-    {file = "matplotlib-3.10.8-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:99eefd13c0dc3b3c1b4d561c1169e65fe47aab7b8158754d7c084088e2329466"},
-    {file = "matplotlib-3.10.8-cp312-cp312-win_amd64.whl", hash = "sha256:dd80ecb295460a5d9d260df63c43f4afbdd832d725a531f008dad1664f458adf"},
-    {file = "matplotlib-3.10.8-cp312-cp312-win_arm64.whl", hash = "sha256:3c624e43ed56313651bc18a47f838b60d7b8032ed348911c54906b130b20071b"},
-    {file = "matplotlib-3.10.8-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:3f2e409836d7f5ac2f1c013110a4d50b9f7edc26328c108915f9075d7d7a91b6"},
-    {file = "matplotlib-3.10.8-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:56271f3dac49a88d7fca5060f004d9d22b865f743a12a23b1e937a0be4818ee1"},
-    {file = "matplotlib-3.10.8-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a0a7f52498f72f13d4a25ea70f35f4cb60642b466cbb0a9be951b5bc3f45a486"},
-    {file = "matplotlib-3.10.8-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:646d95230efb9ca614a7a594d4fcacde0ac61d25e37dd51710b36477594963ce"},
-    {file = "matplotlib-3.10.8-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f89c151aab2e2e23cb3fe0acad1e8b82841fd265379c4cecd0f3fcb34c15e0f6"},
-    {file = "matplotlib-3.10.8-cp313-cp313-win_amd64.whl", hash = "sha256:e8ea3e2d4066083e264e75c829078f9e149fa119d27e19acd503de65e0b13149"},
-    {file = "matplotlib-3.10.8-cp313-cp313-win_arm64.whl", hash = "sha256:c108a1d6fa78a50646029cb6d49808ff0fc1330fda87fa6f6250c6b5369b6645"},
-    {file = "matplotlib-3.10.8-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:ad3d9833a64cf48cc4300f2b406c3d0f4f4724a91c0bd5640678a6ba7c102077"},
-    {file = "matplotlib-3.10.8-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:eb3823f11823deade26ce3b9f40dcb4a213da7a670013929f31d5f5ed1055b22"},
-    {file = "matplotlib-3.10.8-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d9050fee89a89ed57b4fb2c1bfac9a3d0c57a0d55aed95949eedbc42070fea39"},
-    {file = "matplotlib-3.10.8-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b44d07310e404ba95f8c25aa5536f154c0a8ec473303535949e52eb71d0a1565"},
-    {file = "matplotlib-3.10.8-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:0a33deb84c15ede243aead39f77e990469fff93ad1521163305095b77b72ce4a"},
-    {file = "matplotlib-3.10.8-cp313-cp313t-win_amd64.whl", hash = "sha256:3a48a78d2786784cc2413e57397981fb45c79e968d99656706018d6e62e57958"},
-    {file = "matplotlib-3.10.8-cp313-cp313t-win_arm64.whl", hash = "sha256:15d30132718972c2c074cd14638c7f4592bd98719e2308bccea40e0538bc0cb5"},
-    {file = "matplotlib-3.10.8-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:b53285e65d4fa4c86399979e956235deb900be5baa7fc1218ea67fbfaeaadd6f"},
-    {file = "matplotlib-3.10.8-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:32f8dce744be5569bebe789e46727946041199030db8aeb2954d26013a0eb26b"},
-    {file = "matplotlib-3.10.8-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4cf267add95b1c88300d96ca837833d4112756045364f5c734a2276038dae27d"},
-    {file = "matplotlib-3.10.8-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2cf5bd12cecf46908f286d7838b2abc6c91cda506c0445b8223a7c19a00df008"},
-    {file = "matplotlib-3.10.8-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:41703cc95688f2516b480f7f339d8851a6035f18e100ee6a32bc0b8536a12a9c"},
-    {file = "matplotlib-3.10.8-cp314-cp314-win_amd64.whl", hash = "sha256:83d282364ea9f3e52363da262ce32a09dfe241e4080dcedda3c0db059d3c1f11"},
-    {file = "matplotlib-3.10.8-cp314-cp314-win_arm64.whl", hash = "sha256:2c1998e92cd5999e295a731bcb2911c75f597d937341f3030cc24ef2733d78a8"},
-    {file = "matplotlib-3.10.8-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:b5a2b97dbdc7d4f353ebf343744f1d1f1cca8aa8bfddb4262fcf4306c3761d50"},
-    {file = "matplotlib-3.10.8-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:3f5c3e4da343bba819f0234186b9004faba952cc420fbc522dc4e103c1985908"},
-    {file = "matplotlib-3.10.8-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5f62550b9a30afde8c1c3ae450e5eb547d579dd69b25c2fc7a1c67f934c1717a"},
-    {file = "matplotlib-3.10.8-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:495672de149445ec1b772ff2c9ede9b769e3cb4f0d0aa7fa730d7f59e2d4e1c1"},
-    {file = "matplotlib-3.10.8-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:595ba4d8fe983b88f0eec8c26a241e16d6376fe1979086232f481f8f3f67494c"},
-    {file = "matplotlib-3.10.8-cp314-cp314t-win_amd64.whl", hash = "sha256:25d380fe8b1dc32cf8f0b1b448470a77afb195438bafdf1d858bfb876f3edf7b"},
-    {file = "matplotlib-3.10.8-cp314-cp314t-win_arm64.whl", hash = "sha256:113bb52413ea508ce954a02c10ffd0d565f9c3bc7f2eddc27dfe1731e71c7b5f"},
-    {file = "matplotlib-3.10.8-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:f97aeb209c3d2511443f8797e3e5a569aebb040d4f8bc79aa3ee78a8fb9e3dd8"},
-    {file = "matplotlib-3.10.8-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:fb061f596dad3a0f52b60dc6a5dec4a0c300dec41e058a7efe09256188d170b7"},
-    {file = "matplotlib-3.10.8-pp310-pypy310_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:12d90df9183093fcd479f4172ac26b322b1248b15729cb57f42f71f24c7e37a3"},
-    {file = "matplotlib-3.10.8-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:6da7c2ce169267d0d066adcf63758f0604aa6c3eebf67458930f9d9b79ad1db1"},
-    {file = "matplotlib-3.10.8-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:9153c3292705be9f9c64498a8872118540c3f4123d1a1c840172edf262c8be4a"},
-    {file = "matplotlib-3.10.8-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1ae029229a57cd1e8fe542485f27e7ca7b23aa9e8944ddb4985d0bc444f1eca2"},
-    {file = "matplotlib-3.10.8.tar.gz", hash = "sha256:2299372c19d56bcd35cf05a2738308758d32b9eaed2371898d8f5bd33f084aa3"},
-]
-
-[package.dependencies]
-contourpy = ">=1.0.1"
-cycler = ">=0.10"
-fonttools = ">=4.22.0"
-kiwisolver = ">=1.3.1"
-numpy = ">=1.23"
-packaging = ">=20.0"
-pillow = ">=8"
-pyparsing = ">=3"
-python-dateutil = ">=2.7"
-
-[package.extras]
-dev = ["meson-python (>=0.13.1,<0.17.0)", "pybind11 (>=2.13.2,!=2.13.3)", "setuptools (>=64)", "setuptools_scm (>=7)"]
-
-[[package]]
-name = "matplotlib-inline"
-version = "0.2.1"
-description = "Inline Matplotlib backend for Jupyter"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "matplotlib_inline-0.2.1-py3-none-any.whl", hash = "sha256:d56ce5156ba6085e00a9d54fead6ed29a9c47e215cd1bba2e976ef39f5710a76"},
-    {file = "matplotlib_inline-0.2.1.tar.gz", hash = "sha256:e1ee949c340d771fc39e241ea75683deb94762c8fa5f2927ec57c83c4dffa9fe"},
-]
-
-[package.dependencies]
-traitlets = "*"
-
-[package.extras]
-test = ["flake8", "nbdime", "nbval", "notebook", "pytest"]
-
-[[package]]
-name = "mccabe"
-version = "0.7.0"
-description = "McCabe checker, plugin for flake8"
-optional = false
-python-versions = ">=3.6"
-groups = ["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"},
-]
-
-[[package]]
-name = "mdit-py-plugins"
-version = "0.5.0"
-description = "Collection of plugins for markdown-it-py"
-optional = false
-python-versions = ">=3.10"
-groups = ["shiny"]
-files = [
-    {file = "mdit_py_plugins-0.5.0-py3-none-any.whl", hash = "sha256:07a08422fc1936a5d26d146759e9155ea466e842f5ab2f7d2266dd084c8dab1f"},
-    {file = "mdit_py_plugins-0.5.0.tar.gz", hash = "sha256:f4918cb50119f50446560513a8e311d574ff6aaed72606ddae6d35716fe809c6"},
-]
-
-[package.dependencies]
-markdown-it-py = ">=2.0.0,<5.0.0"
-
-[package.extras]
-code-style = ["pre-commit"]
-rtd = ["myst-parser", "sphinx-book-theme"]
-testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
-
-[[package]]
-name = "mdurl"
-version = "0.1.2"
-description = "Markdown URL utilities"
-optional = false
-python-versions = ">=3.7"
-groups = ["main", "shiny"]
-files = [
-    {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
-    {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
-]
-
-[[package]]
-name = "mergedeep"
-version = "1.3.4"
-description = "A deep merge function for 🐍."
-optional = false
-python-versions = ">=3.6"
-groups = ["dev"]
-files = [
-    {file = "mergedeep-1.3.4-py3-none-any.whl", hash = "sha256:70775750742b25c0d8f36c55aed03d24c3384d17c951b3175d898bd778ef0307"},
-    {file = "mergedeep-1.3.4.tar.gz", hash = "sha256:0096d52e9dad9939c3d975a774666af186eda617e6ca84df4c94dec30004f2a8"},
-]
-
-[[package]]
-name = "meshio"
-version = "5.3.5"
-description = "I/O for many mesh formats"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "meshio-5.3.5-py3-none-any.whl", hash = "sha256:0736c6e34ecc768f62f2cde5d8233a3529512a9399b25c68ea2ca0d5900cdc10"},
-    {file = "meshio-5.3.5.tar.gz", hash = "sha256:f21f01abd9f29ba06ea119304b3d39e610421cfe93b9dd23362834919f87586d"},
-]
-
-[package.dependencies]
-numpy = ">=1.20.0"
-rich = "*"
-
-[package.extras]
-all = ["h5py", "netCDF4"]
-
-[[package]]
-name = "mistune"
-version = "3.2.0"
-description = "A sane and fast Markdown parser with useful plugins and renderers"
-optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev"]
-files = [
-    {file = "mistune-3.2.0-py3-none-any.whl", hash = "sha256:febdc629a3c78616b94393c6580551e0e34cc289987ec6c35ed3f4be42d0eee1"},
-    {file = "mistune-3.2.0.tar.gz", hash = "sha256:708487c8a8cdd99c9d90eb3ed4c3ed961246ff78ac82f03418f5183ab70e398a"},
-]
-
-[package.dependencies]
-typing-extensions = {version = "*", markers = "python_version < \"3.11\""}
-
-[[package]]
-name = "mkdocs"
-version = "1.6.1"
-description = "Project documentation with Markdown."
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "mkdocs-1.6.1-py3-none-any.whl", hash = "sha256:db91759624d1647f3f34aa0c3f327dd2601beae39a366d6e064c03468d35c20e"},
-    {file = "mkdocs-1.6.1.tar.gz", hash = "sha256:7b432f01d928c084353ab39c57282f29f92136665bdd6abf7c1ec8d822ef86f2"},
-]
-
-[package.dependencies]
-click = ">=7.0"
-colorama = {version = ">=0.4", markers = "platform_system == \"Windows\""}
-ghp-import = ">=1.0"
-jinja2 = ">=2.11.1"
-markdown = ">=3.3.6"
-markupsafe = ">=2.0.1"
-mergedeep = ">=1.3.4"
-mkdocs-get-deps = ">=0.2.0"
-packaging = ">=20.5"
-pathspec = ">=0.11.1"
-pyyaml = ">=5.1"
-pyyaml-env-tag = ">=0.1"
-watchdog = ">=2.0"
-
-[package.extras]
-i18n = ["babel (>=2.9.0)"]
-min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4) ; platform_system == \"Windows\"", "ghp-import (==1.0)", "importlib-metadata (==4.4) ; python_version < \"3.10\"", "jinja2 (==2.11.1)", "markdown (==3.3.6)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "mkdocs-get-deps (==0.2.0)", "packaging (==20.5)", "pathspec (==0.11.1)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "watchdog (==2.0)"]
-
-[[package]]
-name = "mkdocs-autorefs"
-version = "1.4.3"
-description = "Automatically link across pages in MkDocs."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "mkdocs_autorefs-1.4.3-py3-none-any.whl", hash = "sha256:469d85eb3114801d08e9cc55d102b3ba65917a869b893403b8987b601cf55dc9"},
-    {file = "mkdocs_autorefs-1.4.3.tar.gz", hash = "sha256:beee715b254455c4aa93b6ef3c67579c399ca092259cc41b7d9342573ff1fc75"},
-]
-
-[package.dependencies]
-Markdown = ">=3.3"
-markupsafe = ">=2.0.1"
-mkdocs = ">=1.1"
-
-[[package]]
-name = "mkdocs-get-deps"
-version = "0.2.0"
-description = "MkDocs extension that lists all dependencies according to a mkdocs.yml file"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "mkdocs_get_deps-0.2.0-py3-none-any.whl", hash = "sha256:2bf11d0b133e77a0dd036abeeb06dec8775e46efa526dc70667d8863eefc6134"},
-    {file = "mkdocs_get_deps-0.2.0.tar.gz", hash = "sha256:162b3d129c7fad9b19abfdcb9c1458a651628e4b1dea628ac68790fb3061c60c"},
-]
-
-[package.dependencies]
-mergedeep = ">=1.3.4"
-platformdirs = ">=2.2.0"
-pyyaml = ">=5.1"
-
-[[package]]
-name = "mkdocs-include-markdown-plugin"
-version = "7.2.1"
-description = "Mkdocs Markdown includer plugin."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "mkdocs_include_markdown_plugin-7.2.1-py3-none-any.whl", hash = "sha256:30da634c568ea5d5f9e5881d51f80ac30d8c5f891cec160344ad7a0fdaea6286"},
-    {file = "mkdocs_include_markdown_plugin-7.2.1.tar.gz", hash = "sha256:5d94db87b06cd303619dbaebba5f7f43a3ded7fd7709451d26f08c176376ffec"},
-]
-
-[package.dependencies]
-mkdocs = ">=1.4"
-wcmatch = "*"
-
-[package.extras]
-cache = ["platformdirs"]
-
-[[package]]
-name = "mkdocs-material"
-version = "9.7.1"
-description = "Documentation that simply works"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "mkdocs_material-9.7.1-py3-none-any.whl", hash = "sha256:3f6100937d7d731f87f1e3e3b021c97f7239666b9ba1151ab476cabb96c60d5c"},
-    {file = "mkdocs_material-9.7.1.tar.gz", hash = "sha256:89601b8f2c3e6c6ee0a918cc3566cb201d40bf37c3cd3c2067e26fadb8cce2b8"},
-]
-
-[package.dependencies]
-babel = ">=2.10"
-backrefs = ">=5.7.post1"
-colorama = ">=0.4"
-jinja2 = ">=3.1"
-markdown = ">=3.2"
-mkdocs = ">=1.6"
-mkdocs-material-extensions = ">=1.3"
-paginate = ">=0.5"
-pygments = ">=2.16"
-pymdown-extensions = ">=10.2"
-requests = ">=2.30"
-
-[package.extras]
-git = ["mkdocs-git-committers-plugin-2 (>=1.1,<3)", "mkdocs-git-revision-date-localized-plugin (>=1.2.4,<2.0)"]
-imaging = ["cairosvg (>=2.6,<3.0)", "pillow (>=10.2,<12.0)"]
-recommended = ["mkdocs-minify-plugin (>=0.7,<1.0)", "mkdocs-redirects (>=1.2,<2.0)", "mkdocs-rss-plugin (>=1.6,<2.0)"]
-
-[[package]]
-name = "mkdocs-material-extensions"
-version = "1.3.1"
-description = "Extension pack for Python Markdown and MkDocs Material."
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "mkdocs_material_extensions-1.3.1-py3-none-any.whl", hash = "sha256:adff8b62700b25cb77b53358dad940f3ef973dd6db797907c49e3c2ef3ab4e31"},
-    {file = "mkdocs_material_extensions-1.3.1.tar.gz", hash = "sha256:10c9511cea88f568257f960358a467d12b970e1f7b2c0e5fb2bb48cab1928443"},
-]
-
-[[package]]
-name = "mkdocstrings"
-version = "1.0.2"
-description = "Automatic documentation from sources, for MkDocs."
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-files = [
-    {file = "mkdocstrings-1.0.2-py3-none-any.whl", hash = "sha256:41897815a8026c3634fe5d51472c3a569f92ded0ad8c7a640550873eea3b6817"},
-    {file = "mkdocstrings-1.0.2.tar.gz", hash = "sha256:48edd0ccbcb9e30a3121684e165261a9d6af4d63385fc4f39a54a49ac3b32ea8"},
-]
-
-[package.dependencies]
-Jinja2 = ">=3.1"
-Markdown = ">=3.6"
-MarkupSafe = ">=1.1"
-mkdocs = ">=1.6"
-mkdocs-autorefs = ">=1.4"
-pymdown-extensions = ">=6.3"
-
-[package.extras]
-crystal = ["mkdocstrings-crystal (>=0.3.4)"]
-python = ["mkdocstrings-python (>=1.16.2)"]
-python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"]
-
-[[package]]
-name = "mkdocstrings-python"
-version = "2.0.1"
-description = "A Python handler for mkdocstrings."
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-files = [
-    {file = "mkdocstrings_python-2.0.1-py3-none-any.whl", hash = "sha256:66ecff45c5f8b71bf174e11d49afc845c2dfc7fc0ab17a86b6b337e0f24d8d90"},
-    {file = "mkdocstrings_python-2.0.1.tar.gz", hash = "sha256:843a562221e6a471fefdd4b45cc6c22d2607ccbad632879234fa9692e9cf7732"},
-]
-
-[package.dependencies]
-griffe = ">=1.13"
-mkdocs-autorefs = ">=1.4"
-mkdocstrings = ">=0.30"
-typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
-
-[[package]]
-name = "mkdocstrings-python-legacy"
-version = "0.2.7"
-description = "A legacy Python handler for mkdocstrings."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "mkdocstrings_python_legacy-0.2.7-py3-none-any.whl", hash = "sha256:c24a0a5867749fd826dfa190e10afcbd4c415cbcb2f805fc4791472b4bf221e9"},
-    {file = "mkdocstrings_python_legacy-0.2.7.tar.gz", hash = "sha256:1aa8a277a332fb0d49be3786de3fa18af7d8792e8d611f6ba8d550dc3a1ff8a1"},
-]
-
-[package.dependencies]
-mkdocs-autorefs = ">=1.1"
-mkdocstrings = ">=0.28.3"
-pytkdocs = ">=0.14"
-
-[[package]]
-name = "mne"
-version = "1.11.0"
-description = "MNE-Python project for MEG and EEG data analysis."
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-files = [
-    {file = "mne-1.11.0-py3-none-any.whl", hash = "sha256:993f25b0c92e563c23cb272c42c6c0298be10f40ed50abe4dd2deeba8d184ac2"},
-    {file = "mne-1.11.0.tar.gz", hash = "sha256:0a89b8fc44133b81218a35cdcba74ad0f8ae2e265136249b365b9ce04864c688"},
-]
-
-[package.dependencies]
-decorator = "*"
-h5io = {version = ">=0.2.4", optional = true, markers = "extra == \"hdf5\""}
-jinja2 = "*"
-lazy-loader = ">=0.3"
-matplotlib = ">=3.8"
-numpy = ">=1.26,<3"
-packaging = "*"
-pooch = ">=1.5"
-pymatreader = {version = "*", optional = true, markers = "extra == \"hdf5\""}
-scipy = ">=1.11"
-tqdm = "*"
-
-[package.extras]
-full = ["antio (>=0.5.0)", "curryreader (>=0.1.2)", "darkdetect", "defusedxml", "dipy", "edfio (>=0.4.10)", "eeglabio", "filelock (>=3.18.0)", "h5io (>=0.2.4)", "h5py", "imageio (>=2.6.1)", "imageio-ffmpeg (>=0.4.1)", "ipyevents", "ipympl", "ipython (!=8.7.0)", "ipywidgets", "joblib", "jupyter", "mffpy (>=0.5.7)", "mne-qt-browser", "neo", "nibabel", "nilearn", "numba", "openmeeg (>=2.5.7)", "pandas (>=2.1)", "pillow", "pyarrow", "pybv", "pymatreader", "pyobjc-framework-cocoa (>=5.2.0) ; platform_system == \"Darwin\"", "pyqt6 (!=6.6.0)", "pyqt6-qt6 (!=6.6.0,!=6.7.0)", "python-picard", "pyvista (>=0.42.1)", "pyvistaqt (>=0.11)", "qdarkstyle (!=3.2.2)", "qtpy", "scikit-learn (>=1.3)", "sip", "snirf", "statsmodels", "threadpoolctl", "traitlets", "trame", "trame-vtk", "trame-vuetify", "vtk (>=9.2)", "xlrd"]
-full-no-qt = ["antio (>=0.5.0)", "curryreader (>=0.1.2)", "darkdetect", "defusedxml", "dipy", "edfio (>=0.4.10)", "eeglabio", "filelock (>=3.18.0)", "h5io (>=0.2.4)", "h5py", "imageio (>=2.6.1)", "imageio-ffmpeg (>=0.4.1)", "ipyevents", "ipympl", "ipython (!=8.7.0)", "ipywidgets", "joblib", "jupyter", "mffpy (>=0.5.7)", "mne-qt-browser", "neo", "nibabel", "nilearn", "numba", "openmeeg (>=2.5.7)", "pandas (>=2.1)", "pillow", "pyarrow", "pybv", "pymatreader", "pyobjc-framework-cocoa (>=5.2.0) ; platform_system == \"Darwin\"", "python-picard", "pyvista (>=0.42.1)", "pyvistaqt (>=0.11)", "qdarkstyle (!=3.2.2)", "qtpy", "scikit-learn (>=1.3)", "sip", "snirf", "statsmodels", "threadpoolctl", "traitlets", "trame", "trame-vtk", "trame-vuetify", "vtk (>=9.2)", "xlrd"]
-full-pyqt6 = ["antio (>=0.5.0)", "curryreader (>=0.1.2)", "darkdetect", "defusedxml", "dipy", "edfio (>=0.4.10)", "eeglabio", "filelock (>=3.18.0)", "h5io (>=0.2.4)", "h5py", "imageio (>=2.6.1)", "imageio-ffmpeg (>=0.4.1)", "ipyevents", "ipympl", "ipython (!=8.7.0)", "ipywidgets", "joblib", "jupyter", "mffpy (>=0.5.7)", "mne-qt-browser", "neo", "nibabel", "nilearn", "numba", "openmeeg (>=2.5.7)", "pandas (>=2.1)", "pillow", "pyarrow", "pybv", "pymatreader", "pyobjc-framework-cocoa (>=5.2.0) ; platform_system == \"Darwin\"", "pyqt6 (!=6.6.0)", "pyqt6-qt6 (!=6.6.0,!=6.7.0)", "python-picard", "pyvista (>=0.42.1)", "pyvistaqt (>=0.11)", "qdarkstyle (!=3.2.2)", "qtpy", "scikit-learn (>=1.3)", "sip", "snirf", "statsmodels", "threadpoolctl", "traitlets", "trame", "trame-vtk", "trame-vuetify", "vtk (>=9.2)", "xlrd"]
-full-pyside6 = ["antio (>=0.5.0)", "curryreader (>=0.1.2)", "darkdetect", "defusedxml", "dipy", "edfio (>=0.4.10)", "eeglabio", "filelock (>=3.18.0)", "h5io (>=0.2.4)", "h5py", "imageio (>=2.6.1)", "imageio-ffmpeg (>=0.4.1)", "ipyevents", "ipympl", "ipython (!=8.7.0)", "ipywidgets", "joblib", "jupyter", "mffpy (>=0.5.7)", "mne-qt-browser", "neo", "nibabel", "nilearn", "numba", "openmeeg (>=2.5.7)", "pandas (>=2.1)", "pillow", "pyarrow", "pybv", "pymatreader", "pyobjc-framework-cocoa (>=5.2.0) ; platform_system == \"Darwin\"", "pyside6 (!=6.7.0,!=6.8.0,!=6.8.0.1,!=6.9.1)", "python-picard", "pyvista (>=0.42.1)", "pyvistaqt (>=0.11)", "qdarkstyle (!=3.2.2)", "qtpy", "scikit-learn (>=1.3)", "sip", "snirf", "statsmodels", "threadpoolctl", "traitlets", "trame", "trame-vtk", "trame-vuetify", "vtk (>=9.2)", "xlrd"]
-hdf5 = ["h5io (>=0.2.4)", "pymatreader"]
-
-[[package]]
-name = "mne-connectivity"
-version = "0.7.0"
-description = "mne-connectivity: A module for connectivity data analysis with MNE."
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "mne_connectivity-0.7.0-py3-none-any.whl", hash = "sha256:879f9041e10d9e1cadcbb02526fd79f2819af5b5d811934a3af2865aae530d07"},
-    {file = "mne_connectivity-0.7.0.tar.gz", hash = "sha256:89f9e11d1843395dd67458f027aedee1a70fdfce97241a7d3f2710164d537864"},
-]
-
-[package.dependencies]
-mne = ">=1.6"
-netCDF4 = ">=1.6.5"
-numpy = ">=1.21"
-pandas = ">=1.3.2"
-scipy = ">=1.4.0"
-tqdm = "*"
-xarray = ">=2023.11.0"
-
-[package.extras]
-all = ["mne-connectivity[build]", "mne-connectivity[doc]", "mne-connectivity[gui]", "mne-connectivity[style]", "mne-connectivity[test]"]
-build = ["build", "twine"]
-doc = ["PyQt6", "memory-profiler", "mne-bids", "mne-connectivity[gui]", "nibabel", "nilearn", "numpydoc", "pooch", "pydata-sphinx-theme (==0.14.1)", "sphinx", "sphinx-autodoc-typehints", "sphinx-copybutton", "sphinx-design", "sphinx-gallery", "sphinx-issues", "sphinxcontrib-bibtex"]
-full = ["mne-connectivity[all]"]
-gui = ["PyQt6", "h5netcdf", "matplotlib", "mne-qt-browser (>=0.6.0)", "pyvista", "pyvistaqt", "qtpy", "sip", "vtk"]
-style = ["codespell", "isort", "pre-commit", "pydocstyle", "pydocstyle[toml]", "rstcheck", "ruff", "toml-sort", "yamllint"]
-test = ["PyQt6", "joblib", "mne-bids", "mne-connectivity[gui]", "pandas", "pymatreader", "pytest (<8.0.0)", "pytest-cov", "pytest-timeout", "statsmodels"]
-
-[[package]]
-name = "mpmath"
-version = "1.3.0"
-description = "Python library for arbitrary-precision floating-point arithmetic"
-optional = false
-python-versions = "*"
-groups = ["optim-torch"]
-files = [
-    {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
-    {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
-]
-
-[package.extras]
-develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
-docs = ["sphinx"]
-gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""]
-tests = ["pytest (>=4.6)"]
-
-[[package]]
-name = "mypy-extensions"
-version = "1.1.0"
-description = "Type system extensions for programs checked with the mypy type checker."
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505"},
-    {file = "mypy_extensions-1.1.0.tar.gz", hash = "sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558"},
-]
-
-[[package]]
-name = "narwhals"
-version = "2.15.0"
-description = "Extremely lightweight compatibility layer between dataframe libraries"
-optional = false
-python-versions = ">=3.9"
-groups = ["shiny"]
-files = [
-    {file = "narwhals-2.15.0-py3-none-any.whl", hash = "sha256:cbfe21ca19d260d9fd67f995ec75c44592d1f106933b03ddd375df7ac841f9d6"},
-    {file = "narwhals-2.15.0.tar.gz", hash = "sha256:a9585975b99d95084268445a1fdd881311fa26ef1caa18020d959d5b2ff9a965"},
-]
-
-[package.extras]
-cudf = ["cudf (>=24.10.0)"]
-dask = ["dask[dataframe] (>=2024.8)"]
-duckdb = ["duckdb (>=1.1)"]
-ibis = ["ibis-framework (>=6.0.0)", "packaging", "pyarrow-hotfix", "rich"]
-modin = ["modin"]
-pandas = ["pandas (>=1.1.3)"]
-polars = ["polars (>=0.20.4)"]
-pyarrow = ["pyarrow (>=13.0.0)"]
-pyspark = ["pyspark (>=3.5.0)"]
-pyspark-connect = ["pyspark[connect] (>=3.5.0)"]
-sqlframe = ["sqlframe (>=3.22.0,!=3.39.3)"]
-
-[[package]]
-name = "nbclient"
-version = "0.10.4"
-description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
-optional = false
-python-versions = ">=3.10.0"
-groups = ["dev"]
-files = [
-    {file = "nbclient-0.10.4-py3-none-any.whl", hash = "sha256:9162df5a7373d70d606527300a95a975a47c137776cd942e52d9c7e29ff83440"},
-    {file = "nbclient-0.10.4.tar.gz", hash = "sha256:1e54091b16e6da39e297b0ece3e10f6f29f4ac4e8ee515d29f8a7099bd6553c9"},
-]
-
-[package.dependencies]
-jupyter-client = ">=6.1.12"
-jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
-nbformat = ">=5.1.3"
-traitlets = ">=5.4"
-
-[package.extras]
-dev = ["pre-commit"]
-docs = ["autodoc-traits", "flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "mock", "moto", "myst-parser", "nbconvert (>=7.1.0)", "pytest (>=9.0.1,<10)", "pytest-asyncio (>=1.3.0)", "pytest-cov (>=4.0)", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling", "testpath", "xmltodict"]
-test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.1.0)", "pytest (>=9.0.1,<10)", "pytest-asyncio (>=1.3.0)", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
-
-[[package]]
-name = "nbconvert"
-version = "7.17.0"
-description = "Convert Jupyter Notebooks (.ipynb files) to other formats."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "nbconvert-7.17.0-py3-none-any.whl", hash = "sha256:4f99a63b337b9a23504347afdab24a11faa7d86b405e5c8f9881cd313336d518"},
-    {file = "nbconvert-7.17.0.tar.gz", hash = "sha256:1b2696f1b5be12309f6c7d707c24af604b87dfaf6d950794c7b07acab96dda78"},
-]
-
-[package.dependencies]
-beautifulsoup4 = "*"
-bleach = {version = "!=5.0.0", extras = ["css"]}
-defusedxml = "*"
-jinja2 = ">=3.0"
-jupyter-core = ">=4.7"
-jupyterlab-pygments = "*"
-markupsafe = ">=2.0"
-mistune = ">=2.0.3,<4"
-nbclient = ">=0.5.0"
-nbformat = ">=5.7"
-packaging = "*"
-pandocfilters = ">=1.4.1"
-pygments = ">=2.4.1"
-traitlets = ">=5.1"
-
-[package.extras]
-all = ["flaky", "intersphinx-registry", "ipykernel", "ipython", "ipywidgets (>=7.5)", "myst-parser", "nbsphinx (>=0.2.12)", "playwright", "pydata-sphinx-theme", "pyqtwebengine (>=5.15)", "pytest (>=7)", "sphinx (>=5.0.2)", "sphinxcontrib-spelling", "tornado (>=6.1)"]
-docs = ["intersphinx-registry", "ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sphinx-theme", "sphinx (>=5.0.2)", "sphinxcontrib-spelling"]
-qtpdf = ["pyqtwebengine (>=5.15)"]
-qtpng = ["pyqtwebengine (>=5.15)"]
-serve = ["tornado (>=6.1)"]
-test = ["flaky", "ipykernel", "ipywidgets (>=7.5)", "pytest (>=7)"]
-webpdf = ["playwright"]
-
-[[package]]
-name = "nbformat"
-version = "5.10.4"
-description = "The Jupyter Notebook format"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b"},
-    {file = "nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a"},
-]
-
-[package.dependencies]
-fastjsonschema = ">=2.15"
-jsonschema = ">=2.6"
-jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
-traitlets = ">=5.1"
-
-[package.extras]
-docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
-test = ["pep440", "pre-commit", "pytest", "testpath"]
-
-[[package]]
-name = "nest-asyncio"
-version = "1.6.0"
-description = "Patch asyncio to allow nested event loops"
-optional = false
-python-versions = ">=3.5"
-groups = ["dev"]
-files = [
-    {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"},
-    {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
-]
-
-[[package]]
-name = "netcdf4"
-version = "1.7.3"
-description = "Provides an object-oriented python interface to the netCDF version 4 library"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-markers = "platform_system == \"Windows\" and platform_machine == \"ARM64\" and python_version == \"3.10\""
-files = [
-    {file = "netcdf4-1.7.3-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:db761afd3a6b9482df018c4783e0bdf99141a41db1f14c68c89986effb182d57"},
-    {file = "netcdf4-1.7.3-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:ad4c2d9b469248d83cbacb70ad9e7d3a6c0ba27febe839c90192147199745ba4"},
-    {file = "netcdf4-1.7.3-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c6986d039717582071e55ae9c6fbebfe4e5bbbc3af122fc3db0c0c09c4d8955e"},
-    {file = "netcdf4-1.7.3-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:348e79b4f26f2e403fe3c54364e9297e4ef326c7ee12f9be01c037db853d26c0"},
-    {file = "netcdf4-1.7.3-cp310-cp310-win_amd64.whl", hash = "sha256:6ab71f5d70e55e8584d168d5158efdb2fd8d350a033d0c27d942c3d399587f54"},
-    {file = "netcdf4-1.7.3-cp311-abi3-macosx_13_0_x86_64.whl", hash = "sha256:801c222d8ad35fd7dc7e9aa7ea6373d184bcb3b8ee6b794c5fbecaa5155b1792"},
-    {file = "netcdf4-1.7.3-cp311-abi3-macosx_14_0_arm64.whl", hash = "sha256:83dbfd6f10a0ec785d5296016bd821bbe9f0df780be72fc00a1f0d179d9c5f0f"},
-    {file = "netcdf4-1.7.3-cp311-abi3-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:949e086d4d2612b49e5b95f60119d216c9ceb7b17bc771e9e0fa0e9b9c0a2f9f"},
-    {file = "netcdf4-1.7.3-cp311-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0c764ba6f6a1421cab5496097e8a1c4d2e36be2a04880dfd288bb61b348c217e"},
-    {file = "netcdf4-1.7.3-cp311-abi3-win_amd64.whl", hash = "sha256:1b6c646fa179fb1e5e8d6e8231bc78cc0311eceaa1241256b5a853f1d04055b9"},
-    {file = "netcdf4-1.7.3.tar.gz", hash = "sha256:83f122fc3415e92b1d4904fd6a0898468b5404c09432c34beb6b16c533884673"},
-]
-
-[package.dependencies]
-certifi = "*"
-cftime = "*"
-numpy = "*"
-
-[package.extras]
-parallel = ["mpi4py"]
-tests = ["Cython", "packaging", "pytest", "typing-extensions (>=4.15.0)"]
-
-[[package]]
-name = "netcdf4"
-version = "1.7.4"
-description = "Provides an object-oriented python interface to the netCDF version 4 library"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-markers = "platform_system != \"Windows\" or platform_machine != \"ARM64\" or python_version >= \"3.11\""
-files = [
-    {file = "netcdf4-1.7.4-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:b1c1a7ea3678db76bf33d14f7e202385d634db38c5e70d8cf4895971023eebb9"},
-    {file = "netcdf4-1.7.4-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:d3f9497873454207f9480847d02b1b19a4bc81ad6e9166e1c17d4e2f8f3555d1"},
-    {file = "netcdf4-1.7.4-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c8e18294af803e80f8c0339f791901942e268c334c099bbd5f7ea8325a49801a"},
-    {file = "netcdf4-1.7.4-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0b06c0b93fd0ecc1ec67a582f3ba98b7db9da1fa843c8f83fd75990e3701771e"},
-    {file = "netcdf4-1.7.4-cp310-cp310-win_amd64.whl", hash = "sha256:889ba77f084504aebaba9c6f9a88ac213431fef0e897f887cd35aef351ff7740"},
-    {file = "netcdf4-1.7.4-cp311-abi3-macosx_13_0_x86_64.whl", hash = "sha256:dec70e809cc65b04ebe95113ee9c85ba46a51c3a37c058d2b2b0cadc4d3052d8"},
-    {file = "netcdf4-1.7.4-cp311-abi3-macosx_14_0_arm64.whl", hash = "sha256:75cf59100f0775bc4d6b9d4aca7cbabd12e2b8cf3b9a4fb16d810b92743a315a"},
-    {file = "netcdf4-1.7.4-cp311-abi3-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ddfc7e9d261125c74708119440c85ea288b5fee41db676d2ba1ce9be11f96932"},
-    {file = "netcdf4-1.7.4-cp311-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a72c9f58767779ec14cb7451c3b56bdd8fdc027a792fac2062b14e090c5617f3"},
-    {file = "netcdf4-1.7.4-cp311-abi3-win_amd64.whl", hash = "sha256:9476e1f23161ae5159cd1548c50c8a37922e77d76583e247133f256ef7b825fc"},
-    {file = "netcdf4-1.7.4-cp311-abi3-win_arm64.whl", hash = "sha256:876ad9d58f09c98741c066c726164c45a098a58fb90e5fac9e74de4bb8a793fd"},
-    {file = "netcdf4-1.7.4-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:56688c03444fffe0d0c7512cb45245e650389cd841c955b30e4552fa681c4cd9"},
-    {file = "netcdf4-1.7.4-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7ecf471ba8a6ddb2200121949bedfa0095db228822f38227d5da680694a38358"},
-    {file = "netcdf4-1.7.4-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a5841de0735e8e4875b367c668e81d334287858d64dd9f3e3e2261e808c84922"},
-    {file = "netcdf4-1.7.4-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:86fac03a8c5b250d57866e7d98918a64742e4b0de1681c5c86bac5726bab8aee"},
-    {file = "netcdf4-1.7.4-cp314-cp314t-macosx_13_0_x86_64.whl", hash = "sha256:ad083d260301b5add74b1669c75ab0df03bdf986decfcc092cb45eec2615b5f1"},
-    {file = "netcdf4-1.7.4-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:7f22014092cc9da3f056b0368e2e38c42afd5725c87ad4843eb2f467e16dd4f6"},
-    {file = "netcdf4-1.7.4-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:224a15434c165a5e0225e5831f591edf62533044b1ce62fdfee815195bbd077d"},
-    {file = "netcdf4-1.7.4-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:31a2318305de6831a18df25ad0df9f03b6d68666af0356d4f6057d66c02ffeb6"},
-    {file = "netcdf4-1.7.4-cp314-cp314t-win_amd64.whl", hash = "sha256:6c4a0aa9446c3a616ef3be015b629dc6173643f8b09546de26a4e40e272cd1ed"},
-    {file = "netcdf4-1.7.4-cp314-cp314t-win_arm64.whl", hash = "sha256:034220887d48da032cb2db5958f69759dbb04eb33e279ec6390571d4aea734fe"},
-    {file = "netcdf4-1.7.4.tar.gz", hash = "sha256:cdbfdc92d6f4d7192ca8506c9b3d4c1d9892969ff28d8e8e1fc97ca08bf12164"},
-]
-
-[package.dependencies]
-certifi = "*"
-cftime = "*"
-numpy = [
-    {version = ">=1.21.2", markers = "platform_system != \"Windows\" or platform_machine != \"ARM64\""},
-    {version = ">=2.3.0", markers = "platform_system == \"Windows\" and platform_machine == \"ARM64\""},
-]
-
-[package.extras]
-parallel = ["mpi4py"]
-tests = ["Cython", "packaging", "pytest", "typing-extensions (>=4.15.0)"]
-
-[[package]]
-name = "networkx"
-version = "3.4.2"
-description = "Python package for creating and manipulating graphs and networks"
-optional = false
-python-versions = ">=3.10"
-groups = ["main", "optim-torch"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"},
-    {file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"},
-]
-
-[package.extras]
-default = ["matplotlib (>=3.7)", "numpy (>=1.24)", "pandas (>=2.0)", "scipy (>=1.10,!=1.11.0,!=1.11.1)"]
-developer = ["changelist (==0.5)", "mypy (>=1.1)", "pre-commit (>=3.2)", "rtoml"]
-doc = ["intersphinx-registry", "myst-nb (>=1.1)", "numpydoc (>=1.8.0)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.15)", "sphinx (>=7.3)", "sphinx-gallery (>=0.16)", "texext (>=0.6.7)"]
-example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "momepy (>=0.7.2)", "osmnx (>=1.9)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"]
-extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"]
-test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
-
-[[package]]
-name = "networkx"
-version = "3.6.1"
-description = "Python package for creating and manipulating graphs and networks"
-optional = false
-python-versions = "!=3.14.1,>=3.11"
-groups = ["main", "optim-torch"]
-markers = "python_version >= \"3.11\""
-files = [
-    {file = "networkx-3.6.1-py3-none-any.whl", hash = "sha256:d47fbf302e7d9cbbb9e2555a0d267983d2aa476bac30e90dfbe5669bd57f3762"},
-    {file = "networkx-3.6.1.tar.gz", hash = "sha256:26b7c357accc0c8cde558ad486283728b65b6a95d85ee1cd66bafab4c8168509"},
-]
-
-[package.extras]
-benchmarking = ["asv", "virtualenv"]
-default = ["matplotlib (>=3.8)", "numpy (>=1.25)", "pandas (>=2.0)", "scipy (>=1.11.2)"]
-developer = ["mypy (>=1.15)", "pre-commit (>=4.1)"]
-doc = ["intersphinx-registry", "myst-nb (>=1.1)", "numpydoc (>=1.8.0)", "pillow (>=10)", "pydata-sphinx-theme (>=0.16)", "sphinx (>=8.0)", "sphinx-gallery (>=0.18)", "texext (>=0.6.7)"]
-example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "iplotx (>=0.9.0)", "momepy (>=0.7.2)", "osmnx (>=2.0.0)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"]
-extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"]
-release = ["build (>=0.10)", "changelist (==0.5)", "twine (>=4.0)", "wheel (>=0.40)"]
-test = ["pytest (>=7.2)", "pytest-cov (>=4.0)", "pytest-xdist (>=3.0)"]
-test-extras = ["pytest-mpl", "pytest-randomly"]
-
-[[package]]
-name = "notebook"
-version = "7.5.3"
-description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "notebook-7.5.3-py3-none-any.whl", hash = "sha256:c997bfa1a2a9eb58c9bbb7e77d50428befb1033dd6f02c482922e96851d67354"},
-    {file = "notebook-7.5.3.tar.gz", hash = "sha256:393ceb269cf9fdb02a3be607a57d7bd5c2c14604f1818a17dbeb38e04f98cbfa"},
-]
-
-[package.dependencies]
-jupyter-server = ">=2.4.0,<3"
-jupyterlab = ">=4.5.3,<4.6"
-jupyterlab-server = ">=2.28.0,<3"
-notebook-shim = ">=0.2,<0.3"
-tornado = ">=6.2.0"
-
-[package.extras]
-dev = ["hatch", "pre-commit"]
-docs = ["myst-parser", "nbsphinx", "pydata-sphinx-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
-test = ["importlib-resources (>=5.0) ; python_version < \"3.10\"", "ipykernel", "jupyter-server[test] (>=2.4.0,<3)", "jupyterlab-server[test] (>=2.28.0,<3)", "nbval", "pytest (>=7.0)", "pytest-console-scripts", "pytest-timeout", "pytest-tornasync", "requests"]
-
-[[package]]
-name = "notebook-shim"
-version = "0.2.4"
-description = "A shim layer for notebook traits and config"
-optional = false
-python-versions = ">=3.7"
-groups = ["dev"]
-files = [
-    {file = "notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef"},
-    {file = "notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb"},
-]
-
-[package.dependencies]
-jupyter-server = ">=1.8,<3"
-
-[package.extras]
-test = ["pytest", "pytest-console-scripts", "pytest-jupyter", "pytest-tornasync"]
-
-[[package]]
-name = "numba"
-version = "0.63.1"
-description = "compiling Python code using LLVM"
-optional = false
-python-versions = ">=3.10"
-groups = ["optim-numba"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "numba-0.63.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c6d6bf5bf00f7db629305caaec82a2ffb8abe2bf45eaad0d0738dc7de4113779"},
-    {file = "numba-0.63.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:08653d0dfc9cc9c4c9a8fba29ceb1f2d5340c3b86c4a7e5e07e42b643bc6a2f4"},
-    {file = "numba-0.63.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f09eebf5650246ce2a4e9a8d38270e2d4b0b0ae978103bafb38ed7adc5ea906e"},
-    {file = "numba-0.63.1-cp310-cp310-win_amd64.whl", hash = "sha256:f8bba17421d865d8c0f7be2142754ebce53e009daba41c44cf6909207d1a8d7d"},
-    {file = "numba-0.63.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b33db00f18ccc790ee9911ce03fcdfe9d5124637d1ecc266f5ae0df06e02fec3"},
-    {file = "numba-0.63.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7d31ea186a78a7c0f6b1b2a3fe68057fdb291b045c52d86232b5383b6cf4fc25"},
-    {file = "numba-0.63.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ed3bb2fbdb651d6aac394388130a7001aab6f4541837123a4b4ab8b02716530c"},
-    {file = "numba-0.63.1-cp311-cp311-win_amd64.whl", hash = "sha256:1ecbff7688f044b1601be70113e2fb1835367ee0b28ffa8f3adf3a05418c5c87"},
-    {file = "numba-0.63.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2819cd52afa5d8d04e057bdfd54367575105f8829350d8fb5e4066fb7591cc71"},
-    {file = "numba-0.63.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5cfd45dbd3d409e713b1ccfdc2ee72ca82006860254429f4ef01867fdba5845f"},
-    {file = "numba-0.63.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:69a599df6976c03b7ecf15d05302696f79f7e6d10d620367407517943355bcb0"},
-    {file = "numba-0.63.1-cp312-cp312-win_amd64.whl", hash = "sha256:bbad8c63e4fc7eb3cdb2c2da52178e180419f7969f9a685f283b313a70b92af3"},
-    {file = "numba-0.63.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:0bd4fd820ef7442dcc07da184c3f54bb41d2bdb7b35bacf3448e73d081f730dc"},
-    {file = "numba-0.63.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:53de693abe4be3bd4dee38e1c55f01c55ff644a6a3696a3670589e6e4c39cde2"},
-    {file = "numba-0.63.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:81227821a72a763c3d4ac290abbb4371d855b59fdf85d5af22a47c0e86bf8c7e"},
-    {file = "numba-0.63.1-cp313-cp313-win_amd64.whl", hash = "sha256:eb227b07c2ac37b09432a9bda5142047a2d1055646e089d4a240a2643e508102"},
-    {file = "numba-0.63.1-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:f180883e5508940cc83de8a8bea37fc6dd20fbe4e5558d4659b8b9bef5ff4731"},
-    {file = "numba-0.63.1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f0938764afa82a47c0e895637a6c55547a42c9e1d35cac42285b1fa60a8b02bb"},
-    {file = "numba-0.63.1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f90a929fa5094e062d4e0368ede1f4497d5e40f800e80aa5222c4734236a2894"},
-    {file = "numba-0.63.1-cp314-cp314-win_amd64.whl", hash = "sha256:8d6d5ce85f572ed4e1a135dbb8c0114538f9dd0e3657eeb0bb64ab204cbe2a8f"},
-    {file = "numba-0.63.1.tar.gz", hash = "sha256:b320aa675d0e3b17b40364935ea52a7b1c670c9037c39cf92c49502a75902f4b"},
-]
-
-[package.dependencies]
-llvmlite = "==0.46.*"
-numpy = ">=1.22,<2.4"
-
-[[package]]
-name = "numba"
-version = "0.64.0rc1"
-description = "compiling Python code using LLVM"
-optional = false
-python-versions = ">=3.10"
-groups = ["optim-numba"]
-markers = "python_version >= \"3.11\""
-files = [
-    {file = "numba-0.64.0rc1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2fe361b3270a9dbc72cfc8cdf9932edc0bf96d46b4f6cf0a1dd96c73b774c7e3"},
-    {file = "numba-0.64.0rc1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8300ca1f4c5aa11fe48aea66ae4b714ac8e545dac3b3d2c0a4d4e43983f5b9fe"},
-    {file = "numba-0.64.0rc1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2825bd8bfaa35ba5a86a75e7d9d598d0362be01f6fb42129608b53976ee98876"},
-    {file = "numba-0.64.0rc1-cp310-cp310-win_amd64.whl", hash = "sha256:398a83f9fe463f2db49139e49e995a536d0d14b1aad30034414b0e373c6acb99"},
-    {file = "numba-0.64.0rc1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8ad3d700c495bb697313a8334208fc3f185e16b08aafc7a93f9219e58b5294e5"},
-    {file = "numba-0.64.0rc1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c1081628787dafa11650bb1424bb8d5e77fed7b8e3ae67e10225911c001c732e"},
-    {file = "numba-0.64.0rc1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:92de8a62362b52eae81013c39b87cd8cff91098f6249039977f1d8ddf17a0cd6"},
-    {file = "numba-0.64.0rc1-cp311-cp311-win_amd64.whl", hash = "sha256:b75ef5506164d0b6166e6f5d6ca37529e602bc51b7b5f031c35b532cb973d125"},
-    {file = "numba-0.64.0rc1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:08d74c327ced9143205ad82a93bfd7ce35acf244f9f302b038f9d4e7883f4de8"},
-    {file = "numba-0.64.0rc1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6ae20beb8df7de754c981280196217744fff9c5966526e1a56a290f59635bc65"},
-    {file = "numba-0.64.0rc1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bb6b8ab0cf6f01e887a503dfab46ea01f7f4d7db397d27699772bbf87de7be56"},
-    {file = "numba-0.64.0rc1-cp312-cp312-win_amd64.whl", hash = "sha256:cf45fead238f82beaaec7fda5567c5c682a6b91307c8f16a2f25fc88ad9e966f"},
-    {file = "numba-0.64.0rc1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:6db0d9f1eb17a084756b6194b7436d5d2dc4998e9b74cfc10e0ae4407cd32e10"},
-    {file = "numba-0.64.0rc1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:68cc12d5b71f82117a086cb6a9d992c779b9f830dd385ca7d7fc45972f0a1f21"},
-    {file = "numba-0.64.0rc1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ed14427664c250d23aae8047368b98a005cfe246bb1cc558dc8f3e866263f445"},
-    {file = "numba-0.64.0rc1-cp313-cp313-win_amd64.whl", hash = "sha256:84eb0388b23cb7cd198cf48f35798f37677d569b2af6b73ad3f64dd82f54bc10"},
-    {file = "numba-0.64.0rc1-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:6348e9d1b8484fcf4c1071700acb05fbf78c90274eda858aa4b31fcd236de128"},
-    {file = "numba-0.64.0rc1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4bc2a22811d0cb6d075b4cd01ff277bbc8bd99f2351032b0c3c63f0ba1b4dd04"},
-    {file = "numba-0.64.0rc1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:81b92e79d3dc3e2a0d8491280f47398c0b6bf9b10107eaa1449bdde2b929d3ce"},
-    {file = "numba-0.64.0rc1-cp314-cp314-win_amd64.whl", hash = "sha256:eda7073d65ded76bca133f4a081f4eb9b989bd62f8ee86d6c589cb32863ca3a1"},
-    {file = "numba-0.64.0rc1.tar.gz", hash = "sha256:d6ae88843308abbbaed38ff8a937e7630b90d1577c180b31095553c5f081f07b"},
-]
-
-[package.dependencies]
-llvmlite = "==0.46.*"
-numpy = ">=1.22,<2.5"
-
-[[package]]
-name = "numpy"
-version = "2.2.6"
-description = "Fundamental package for array computing in Python"
-optional = false
-python-versions = ">=3.10"
-groups = ["main", "optim-numba"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb"},
-    {file = "numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90"},
-    {file = "numpy-2.2.6-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:37e990a01ae6ec7fe7fa1c26c55ecb672dd98b19c3d0e1d1f326fa13cb38d163"},
-    {file = "numpy-2.2.6-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:5a6429d4be8ca66d889b7cf70f536a397dc45ba6faeb5f8c5427935d9592e9cf"},
-    {file = "numpy-2.2.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efd28d4e9cd7d7a8d39074a4d44c63eda73401580c5c76acda2ce969e0a38e83"},
-    {file = "numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc7b73d02efb0e18c000e9ad8b83480dfcd5dfd11065997ed4c6747470ae8915"},
-    {file = "numpy-2.2.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:74d4531beb257d2c3f4b261bfb0fc09e0f9ebb8842d82a7b4209415896adc680"},
-    {file = "numpy-2.2.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8fc377d995680230e83241d8a96def29f204b5782f371c532579b4f20607a289"},
-    {file = "numpy-2.2.6-cp310-cp310-win32.whl", hash = "sha256:b093dd74e50a8cba3e873868d9e93a85b78e0daf2e98c6797566ad8044e8363d"},
-    {file = "numpy-2.2.6-cp310-cp310-win_amd64.whl", hash = "sha256:f0fd6321b839904e15c46e0d257fdd101dd7f530fe03fd6359c1ea63738703f3"},
-    {file = "numpy-2.2.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f9f1adb22318e121c5c69a09142811a201ef17ab257a1e66ca3025065b7f53ae"},
-    {file = "numpy-2.2.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c820a93b0255bc360f53eca31a0e676fd1101f673dda8da93454a12e23fc5f7a"},
-    {file = "numpy-2.2.6-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3d70692235e759f260c3d837193090014aebdf026dfd167834bcba43e30c2a42"},
-    {file = "numpy-2.2.6-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:481b49095335f8eed42e39e8041327c05b0f6f4780488f61286ed3c01368d491"},
-    {file = "numpy-2.2.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b64d8d4d17135e00c8e346e0a738deb17e754230d7e0810ac5012750bbd85a5a"},
-    {file = "numpy-2.2.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba10f8411898fc418a521833e014a77d3ca01c15b0c6cdcce6a0d2897e6dbbdf"},
-    {file = "numpy-2.2.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bd48227a919f1bafbdda0583705e547892342c26fb127219d60a5c36882609d1"},
-    {file = "numpy-2.2.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9551a499bf125c1d4f9e250377c1ee2eddd02e01eac6644c080162c0c51778ab"},
-    {file = "numpy-2.2.6-cp311-cp311-win32.whl", hash = "sha256:0678000bb9ac1475cd454c6b8c799206af8107e310843532b04d49649c717a47"},
-    {file = "numpy-2.2.6-cp311-cp311-win_amd64.whl", hash = "sha256:e8213002e427c69c45a52bbd94163084025f533a55a59d6f9c5b820774ef3303"},
-    {file = "numpy-2.2.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:41c5a21f4a04fa86436124d388f6ed60a9343a6f767fced1a8a71c3fbca038ff"},
-    {file = "numpy-2.2.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:de749064336d37e340f640b05f24e9e3dd678c57318c7289d222a8a2f543e90c"},
-    {file = "numpy-2.2.6-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:894b3a42502226a1cac872f840030665f33326fc3dac8e57c607905773cdcde3"},
-    {file = "numpy-2.2.6-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:71594f7c51a18e728451bb50cc60a3ce4e6538822731b2933209a1f3614e9282"},
-    {file = "numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f2618db89be1b4e05f7a1a847a9c1c0abd63e63a1607d892dd54668dd92faf87"},
-    {file = "numpy-2.2.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd83c01228a688733f1ded5201c678f0c53ecc1006ffbc404db9f7a899ac6249"},
-    {file = "numpy-2.2.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:37c0ca431f82cd5fa716eca9506aefcabc247fb27ba69c5062a6d3ade8cf8f49"},
-    {file = "numpy-2.2.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fe27749d33bb772c80dcd84ae7e8df2adc920ae8297400dabec45f0dedb3f6de"},
-    {file = "numpy-2.2.6-cp312-cp312-win32.whl", hash = "sha256:4eeaae00d789f66c7a25ac5f34b71a7035bb474e679f410e5e1a94deb24cf2d4"},
-    {file = "numpy-2.2.6-cp312-cp312-win_amd64.whl", hash = "sha256:c1f9540be57940698ed329904db803cf7a402f3fc200bfe599334c9bd84a40b2"},
-    {file = "numpy-2.2.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0811bb762109d9708cca4d0b13c4f67146e3c3b7cf8d34018c722adb2d957c84"},
-    {file = "numpy-2.2.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:287cc3162b6f01463ccd86be154f284d0893d2b3ed7292439ea97eafa8170e0b"},
-    {file = "numpy-2.2.6-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:f1372f041402e37e5e633e586f62aa53de2eac8d98cbfb822806ce4bbefcb74d"},
-    {file = "numpy-2.2.6-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:55a4d33fa519660d69614a9fad433be87e5252f4b03850642f88993f7b2ca566"},
-    {file = "numpy-2.2.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f92729c95468a2f4f15e9bb94c432a9229d0d50de67304399627a943201baa2f"},
-    {file = "numpy-2.2.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1bc23a79bfabc5d056d106f9befb8d50c31ced2fbc70eedb8155aec74a45798f"},
-    {file = "numpy-2.2.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e3143e4451880bed956e706a3220b4e5cf6172ef05fcc397f6f36a550b1dd868"},
-    {file = "numpy-2.2.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b4f13750ce79751586ae2eb824ba7e1e8dba64784086c98cdbbcc6a42112ce0d"},
-    {file = "numpy-2.2.6-cp313-cp313-win32.whl", hash = "sha256:5beb72339d9d4fa36522fc63802f469b13cdbe4fdab4a288f0c441b74272ebfd"},
-    {file = "numpy-2.2.6-cp313-cp313-win_amd64.whl", hash = "sha256:b0544343a702fa80c95ad5d3d608ea3599dd54d4632df855e4c8d24eb6ecfa1c"},
-    {file = "numpy-2.2.6-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0bca768cd85ae743b2affdc762d617eddf3bcf8724435498a1e80132d04879e6"},
-    {file = "numpy-2.2.6-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:fc0c5673685c508a142ca65209b4e79ed6740a4ed6b2267dbba90f34b0b3cfda"},
-    {file = "numpy-2.2.6-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:5bd4fc3ac8926b3819797a7c0e2631eb889b4118a9898c84f585a54d475b7e40"},
-    {file = "numpy-2.2.6-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:fee4236c876c4e8369388054d02d0e9bb84821feb1a64dd59e137e6511a551f8"},
-    {file = "numpy-2.2.6-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e1dda9c7e08dc141e0247a5b8f49cf05984955246a327d4c48bda16821947b2f"},
-    {file = "numpy-2.2.6-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f447e6acb680fd307f40d3da4852208af94afdfab89cf850986c3ca00562f4fa"},
-    {file = "numpy-2.2.6-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:389d771b1623ec92636b0786bc4ae56abafad4a4c513d36a55dce14bd9ce8571"},
-    {file = "numpy-2.2.6-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8e9ace4a37db23421249ed236fdcdd457d671e25146786dfc96835cd951aa7c1"},
-    {file = "numpy-2.2.6-cp313-cp313t-win32.whl", hash = "sha256:038613e9fb8c72b0a41f025a7e4c3f0b7a1b5d768ece4796b674c8f3fe13efff"},
-    {file = "numpy-2.2.6-cp313-cp313t-win_amd64.whl", hash = "sha256:6031dd6dfecc0cf9f668681a37648373bddd6421fff6c66ec1624eed0180ee06"},
-    {file = "numpy-2.2.6-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0b605b275d7bd0c640cad4e5d30fa701a8d59302e127e5f79138ad62762c3e3d"},
-    {file = "numpy-2.2.6-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:7befc596a7dc9da8a337f79802ee8adb30a552a94f792b9c9d18c840055907db"},
-    {file = "numpy-2.2.6-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce47521a4754c8f4593837384bd3424880629f718d87c5d44f8ed763edd63543"},
-    {file = "numpy-2.2.6-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:d042d24c90c41b54fd506da306759e06e568864df8ec17ccc17e9e884634fd00"},
-    {file = "numpy-2.2.6.tar.gz", hash = "sha256:e29554e2bef54a90aa5cc07da6ce955accb83f21ab5de01a62c8478897b264fd"},
-]
-
-[[package]]
-name = "numpy"
-version = "2.4.1"
-description = "Fundamental package for array computing in Python"
-optional = false
-python-versions = ">=3.11"
-groups = ["main", "optim-numba"]
-markers = "python_version >= \"3.11\""
-files = [
-    {file = "numpy-2.4.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0cce2a669e3c8ba02ee563c7835f92c153cf02edff1ae05e1823f1dde21b16a5"},
-    {file = "numpy-2.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:899d2c18024984814ac7e83f8f49d8e8180e2fbe1b2e252f2e7f1d06bea92425"},
-    {file = "numpy-2.4.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:09aa8a87e45b55a1c2c205d42e2808849ece5c484b2aab11fecabec3841cafba"},
-    {file = "numpy-2.4.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:edee228f76ee2dab4579fad6f51f6a305de09d444280109e0f75df247ff21501"},
-    {file = "numpy-2.4.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a92f227dbcdc9e4c3e193add1a189a9909947d4f8504c576f4a732fd0b54240a"},
-    {file = "numpy-2.4.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:538bf4ec353709c765ff75ae616c34d3c3dca1a68312727e8f2676ea644f8509"},
-    {file = "numpy-2.4.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:ac08c63cb7779b85e9d5318e6c3518b424bc1f364ac4cb2c6136f12e5ff2dccc"},
-    {file = "numpy-2.4.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:4f9c360ecef085e5841c539a9a12b883dff005fbd7ce46722f5e9cef52634d82"},
-    {file = "numpy-2.4.1-cp311-cp311-win32.whl", hash = "sha256:0f118ce6b972080ba0758c6087c3617b5ba243d806268623dc34216d69099ba0"},
-    {file = "numpy-2.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:18e14c4d09d55eef39a6ab5b08406e84bc6869c1e34eef45564804f90b7e0574"},
-    {file = "numpy-2.4.1-cp311-cp311-win_arm64.whl", hash = "sha256:6461de5113088b399d655d45c3897fa188766415d0f568f175ab071c8873bd73"},
-    {file = "numpy-2.4.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d3703409aac693fa82c0aee023a1ae06a6e9d065dba10f5e8e80f642f1e9d0a2"},
-    {file = "numpy-2.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7211b95ca365519d3596a1d8688a95874cc94219d417504d9ecb2df99fa7bfa8"},
-    {file = "numpy-2.4.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:5adf01965456a664fc727ed69cc71848f28d063217c63e1a0e200a118d5eec9a"},
-    {file = "numpy-2.4.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:26f0bcd9c79a00e339565b303badc74d3ea2bd6d52191eeca5f95936cad107d0"},
-    {file = "numpy-2.4.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0093e85df2960d7e4049664b26afc58b03236e967fb942354deef3208857a04c"},
-    {file = "numpy-2.4.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7ad270f438cbdd402c364980317fb6b117d9ec5e226fff5b4148dd9aa9fc6e02"},
-    {file = "numpy-2.4.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:297c72b1b98100c2e8f873d5d35fb551fce7040ade83d67dd51d38c8d42a2162"},
-    {file = "numpy-2.4.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:cf6470d91d34bf669f61d515499859fa7a4c2f7c36434afb70e82df7217933f9"},
-    {file = "numpy-2.4.1-cp312-cp312-win32.whl", hash = "sha256:b6bcf39112e956594b3331316d90c90c90fb961e39696bda97b89462f5f3943f"},
-    {file = "numpy-2.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:e1a27bb1b2dee45a2a53f5ca6ff2d1a7f135287883a1689e930d44d1ff296c87"},
-    {file = "numpy-2.4.1-cp312-cp312-win_arm64.whl", hash = "sha256:0e6e8f9d9ecf95399982019c01223dc130542960a12edfa8edd1122dfa66a8a8"},
-    {file = "numpy-2.4.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:d797454e37570cfd61143b73b8debd623c3c0952959adb817dd310a483d58a1b"},
-    {file = "numpy-2.4.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:82c55962006156aeef1629b953fd359064aa47e4d82cfc8e67f0918f7da3344f"},
-    {file = "numpy-2.4.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:71abbea030f2cfc3092a0ff9f8c8fdefdc5e0bf7d9d9c99663538bb0ecdac0b9"},
-    {file = "numpy-2.4.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:5b55aa56165b17aaf15520beb9cbd33c9039810e0d9643dd4379e44294c7303e"},
-    {file = "numpy-2.4.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c0faba4a331195bfa96f93dd9dfaa10b2c7aa8cda3a02b7fd635e588fe821bf5"},
-    {file = "numpy-2.4.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d3e3087f53e2b4428766b54932644d148613c5a595150533ae7f00dab2f319a8"},
-    {file = "numpy-2.4.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:49e792ec351315e16da54b543db06ca8a86985ab682602d90c60ef4ff4db2a9c"},
-    {file = "numpy-2.4.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:79e9e06c4c2379db47f3f6fc7a8652e7498251789bf8ff5bd43bf478ef314ca2"},
-    {file = "numpy-2.4.1-cp313-cp313-win32.whl", hash = "sha256:3d1a100e48cb266090a031397863ff8a30050ceefd798f686ff92c67a486753d"},
-    {file = "numpy-2.4.1-cp313-cp313-win_amd64.whl", hash = "sha256:92a0e65272fd60bfa0d9278e0484c2f52fe03b97aedc02b357f33fe752c52ffb"},
-    {file = "numpy-2.4.1-cp313-cp313-win_arm64.whl", hash = "sha256:20d4649c773f66cc2fc36f663e091f57c3b7655f936a4c681b4250855d1da8f5"},
-    {file = "numpy-2.4.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:f93bc6892fe7b0663e5ffa83b61aab510aacffd58c16e012bb9352d489d90cb7"},
-    {file = "numpy-2.4.1-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:178de8f87948163d98a4c9ab5bee4ce6519ca918926ec8df195af582de28544d"},
-    {file = "numpy-2.4.1-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:98b35775e03ab7f868908b524fc0a84d38932d8daf7b7e1c3c3a1b6c7a2c9f15"},
-    {file = "numpy-2.4.1-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:941c2a93313d030f219f3a71fd3d91a728b82979a5e8034eb2e60d394a2b83f9"},
-    {file = "numpy-2.4.1-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:529050522e983e00a6c1c6b67411083630de8b57f65e853d7b03d9281b8694d2"},
-    {file = "numpy-2.4.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:2302dc0224c1cbc49bb94f7064f3f923a971bfae45c33870dcbff63a2a550505"},
-    {file = "numpy-2.4.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:9171a42fcad32dcf3fa86f0a4faa5e9f8facefdb276f54b8b390d90447cff4e2"},
-    {file = "numpy-2.4.1-cp313-cp313t-win32.whl", hash = "sha256:382ad67d99ef49024f11d1ce5dcb5ad8432446e4246a4b014418ba3a1175a1f4"},
-    {file = "numpy-2.4.1-cp313-cp313t-win_amd64.whl", hash = "sha256:62fea415f83ad8fdb6c20840578e5fbaf5ddd65e0ec6c3c47eda0f69da172510"},
-    {file = "numpy-2.4.1-cp313-cp313t-win_arm64.whl", hash = "sha256:a7870e8c5fc11aef57d6fea4b4085e537a3a60ad2cdd14322ed531fdca68d261"},
-    {file = "numpy-2.4.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:3869ea1ee1a1edc16c29bbe3a2f2a4e515cc3a44d43903ad41e0cacdbaf733dc"},
-    {file = "numpy-2.4.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:e867df947d427cdd7a60e3e271729090b0f0df80f5f10ab7dd436f40811699c3"},
-    {file = "numpy-2.4.1-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:e3bd2cb07841166420d2fa7146c96ce00cb3410664cbc1a6be028e456c4ee220"},
-    {file = "numpy-2.4.1-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:f0a90aba7d521e6954670550e561a4cb925713bd944445dbe9e729b71f6cabee"},
-    {file = "numpy-2.4.1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5d558123217a83b2d1ba316b986e9248a1ed1971ad495963d555ccd75dcb1556"},
-    {file = "numpy-2.4.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2f44de05659b67d20499cbc96d49f2650769afcb398b79b324bb6e297bfe3844"},
-    {file = "numpy-2.4.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:69e7419c9012c4aaf695109564e3387f1259f001b4326dfa55907b098af082d3"},
-    {file = "numpy-2.4.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:2ffd257026eb1b34352e749d7cc1678b5eeec3e329ad8c9965a797e08ccba205"},
-    {file = "numpy-2.4.1-cp314-cp314-win32.whl", hash = "sha256:727c6c3275ddefa0dc078524a85e064c057b4f4e71ca5ca29a19163c607be745"},
-    {file = "numpy-2.4.1-cp314-cp314-win_amd64.whl", hash = "sha256:7d5d7999df434a038d75a748275cd6c0094b0ecdb0837342b332a82defc4dc4d"},
-    {file = "numpy-2.4.1-cp314-cp314-win_arm64.whl", hash = "sha256:ce9ce141a505053b3c7bce3216071f3bf5c182b8b28930f14cd24d43932cd2df"},
-    {file = "numpy-2.4.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:4e53170557d37ae404bf8d542ca5b7c629d6efa1117dac6a83e394142ea0a43f"},
-    {file = "numpy-2.4.1-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:a73044b752f5d34d4232f25f18160a1cc418ea4507f5f11e299d8ac36875f8a0"},
-    {file = "numpy-2.4.1-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:fb1461c99de4d040666ca0444057b06541e5642f800b71c56e6ea92d6a853a0c"},
-    {file = "numpy-2.4.1-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:423797bdab2eeefbe608d7c1ec7b2b4fd3c58d51460f1ee26c7500a1d9c9ee93"},
-    {file = "numpy-2.4.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:52b5f61bdb323b566b528899cc7db2ba5d1015bda7ea811a8bcf3c89c331fa42"},
-    {file = "numpy-2.4.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:42d7dd5fa36d16d52a84f821eb96031836fd405ee6955dd732f2023724d0aa01"},
-    {file = "numpy-2.4.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:e7b6b5e28bbd47b7532698e5db2fe1db693d84b58c254e4389d99a27bb9b8f6b"},
-    {file = "numpy-2.4.1-cp314-cp314t-win32.whl", hash = "sha256:5de60946f14ebe15e713a6f22850c2372fa72f4ff9a432ab44aa90edcadaa65a"},
-    {file = "numpy-2.4.1-cp314-cp314t-win_amd64.whl", hash = "sha256:8f085da926c0d491ffff3096f91078cc97ea67e7e6b65e490bc8dcda65663be2"},
-    {file = "numpy-2.4.1-cp314-cp314t-win_arm64.whl", hash = "sha256:6436cffb4f2bf26c974344439439c95e152c9a527013f26b3577be6c2ca64295"},
-    {file = "numpy-2.4.1-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:8ad35f20be147a204e28b6a0575fbf3540c5e5f802634d4258d55b1ff5facce1"},
-    {file = "numpy-2.4.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:8097529164c0f3e32bb89412a0905d9100bf434d9692d9fc275e18dcf53c9344"},
-    {file = "numpy-2.4.1-pp311-pypy311_pp73-macosx_14_0_arm64.whl", hash = "sha256:ea66d2b41ca4a1630aae5507ee0a71647d3124d1741980138aa8f28f44dac36e"},
-    {file = "numpy-2.4.1-pp311-pypy311_pp73-macosx_14_0_x86_64.whl", hash = "sha256:d3f8f0df9f4b8be57b3bf74a1d087fec68f927a2fab68231fdb442bf2c12e426"},
-    {file = "numpy-2.4.1-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2023ef86243690c2791fd6353e5b4848eedaa88ca8a2d129f462049f6d484696"},
-    {file = "numpy-2.4.1-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8361ea4220d763e54cff2fbe7d8c93526b744f7cd9ddab47afeff7e14e8503be"},
-    {file = "numpy-2.4.1-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:4f1b68ff47680c2925f8063402a693ede215f0257f02596b1318ecdfb1d79e33"},
-    {file = "numpy-2.4.1.tar.gz", hash = "sha256:a1ceafc5042451a858231588a104093474c6a5c57dcc724841f5c888d237d690"},
-]
-
-[[package]]
-name = "nvidia-cublas-cu12"
-version = "12.8.4.1"
-description = "CUBLAS native runtime libraries"
-optional = false
-python-versions = ">=3"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:b86f6dd8935884615a0683b663891d43781b819ac4f2ba2b0c9604676af346d0"},
-    {file = "nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:8ac4e771d5a348c551b2a426eda6193c19aa630236b418086020df5ba9667142"},
-    {file = "nvidia_cublas_cu12-12.8.4.1-py3-none-win_amd64.whl", hash = "sha256:47e9b82132fa8d2b4944e708049229601448aaad7e6f296f630f2d1a32de35af"},
-]
-
-[[package]]
-name = "nvidia-cuda-cupti-cu12"
-version = "12.8.90"
-description = "CUDA profiling tools runtime libs."
-optional = false
-python-versions = ">=3"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:4412396548808ddfed3f17a467b104ba7751e6b58678a4b840675c56d21cf7ed"},
-    {file = "nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ea0cb07ebda26bb9b29ba82cda34849e73c166c18162d3913575b0c9db9a6182"},
-    {file = "nvidia_cuda_cupti_cu12-12.8.90-py3-none-win_amd64.whl", hash = "sha256:bb479dcdf7e6d4f8b0b01b115260399bf34154a1a2e9fe11c85c517d87efd98e"},
-]
-
-[[package]]
-name = "nvidia-cuda-nvrtc-cu12"
-version = "12.8.93"
-description = "NVRTC native runtime libraries"
-optional = false
-python-versions = ">=3"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:a7756528852ef889772a84c6cd89d41dfa74667e24cca16bb31f8f061e3e9994"},
-    {file = "nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:fc1fec1e1637854b4c0a65fb9a8346b51dd9ee69e61ebaccc82058441f15bce8"},
-    {file = "nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-win_amd64.whl", hash = "sha256:7a4b6b2904850fe78e0bd179c4b655c404d4bb799ef03ddc60804247099ae909"},
-]
-
-[[package]]
-name = "nvidia-cuda-runtime-cu12"
-version = "12.8.90"
-description = "CUDA Runtime native Libraries"
-optional = false
-python-versions = ">=3"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:52bf7bbee900262ffefe5e9d5a2a69a30d97e2bc5bb6cc866688caa976966e3d"},
-    {file = "nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:adade8dcbd0edf427b7204d480d6066d33902cab2a4707dcfc48a2d0fd44ab90"},
-    {file = "nvidia_cuda_runtime_cu12-12.8.90-py3-none-win_amd64.whl", hash = "sha256:c0c6027f01505bfed6c3b21ec546f69c687689aad5f1a377554bc6ca4aa993a8"},
-]
-
-[[package]]
-name = "nvidia-cudnn-cu12"
-version = "9.10.2.21"
-description = "cuDNN runtime libraries"
-optional = false
-python-versions = ">=3"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:c9132cc3f8958447b4910a1720036d9eff5928cc3179b0a51fb6d167c6cc87d8"},
-    {file = "nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8"},
-    {file = "nvidia_cudnn_cu12-9.10.2.21-py3-none-win_amd64.whl", hash = "sha256:c6288de7d63e6cf62988f0923f96dc339cea362decb1bf5b3141883392a7d65e"},
-]
-
-[package.dependencies]
-nvidia-cublas-cu12 = "*"
-
-[[package]]
-name = "nvidia-cufft-cu12"
-version = "11.3.3.83"
-description = "CUFFT native runtime libraries"
-optional = false
-python-versions = ">=3"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:848ef7224d6305cdb2a4df928759dca7b1201874787083b6e7550dd6765ce69a"},
-    {file = "nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74"},
-    {file = "nvidia_cufft_cu12-11.3.3.83-py3-none-win_amd64.whl", hash = "sha256:7a64a98ef2a7c47f905aaf8931b69a3a43f27c55530c698bb2ed7c75c0b42cb7"},
-]
-
-[package.dependencies]
-nvidia-nvjitlink-cu12 = "*"
-
-[[package]]
-name = "nvidia-cufile-cu12"
-version = "1.13.1.3"
-description = "cuFile GPUDirect libraries"
-optional = false
-python-versions = ">=3"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1d069003be650e131b21c932ec3d8969c1715379251f8d23a1860554b1cb24fc"},
-    {file = "nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:4beb6d4cce47c1a0f1013d72e02b0994730359e17801d395bdcbf20cfb3bb00a"},
-]
-
-[[package]]
-name = "nvidia-curand-cu12"
-version = "10.3.9.90"
-description = "CURAND native runtime libraries"
-optional = false
-python-versions = ">=3"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:dfab99248034673b779bc6decafdc3404a8a6f502462201f2f31f11354204acd"},
-    {file = "nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:b32331d4f4df5d6eefa0554c565b626c7216f87a06a4f56fab27c3b68a830ec9"},
-    {file = "nvidia_curand_cu12-10.3.9.90-py3-none-win_amd64.whl", hash = "sha256:f149a8ca457277da854f89cf282d6ef43176861926c7ac85b2a0fbd237c587ec"},
-]
-
-[[package]]
-name = "nvidia-cusolver-cu12"
-version = "11.7.3.90"
-description = "CUDA solver native runtime libraries"
-optional = false
-python-versions = ">=3"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:db9ed69dbef9715071232caa9b69c52ac7de3a95773c2db65bdba85916e4e5c0"},
-    {file = "nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:4376c11ad263152bd50ea295c05370360776f8c3427b30991df774f9fb26c450"},
-    {file = "nvidia_cusolver_cu12-11.7.3.90-py3-none-win_amd64.whl", hash = "sha256:4a550db115fcabc4d495eb7d39ac8b58d4ab5d8e63274d3754df1c0ad6a22d34"},
-]
-
-[package.dependencies]
-nvidia-cublas-cu12 = "*"
-nvidia-cusparse-cu12 = "*"
-nvidia-nvjitlink-cu12 = "*"
-
-[[package]]
-name = "nvidia-cusparse-cu12"
-version = "12.5.8.93"
-description = "CUSPARSE native runtime libraries"
-optional = false
-python-versions = ">=3"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:9b6c161cb130be1a07a27ea6923df8141f3c295852f4b260c65f18f3e0a091dc"},
-    {file = "nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1ec05d76bbbd8b61b06a80e1eaf8cf4959c3d4ce8e711b65ebd0443bb0ebb13b"},
-    {file = "nvidia_cusparse_cu12-12.5.8.93-py3-none-win_amd64.whl", hash = "sha256:9a33604331cb2cac199f2e7f5104dfbb8a5a898c367a53dfda9ff2acb6b6b4dd"},
-]
-
-[package.dependencies]
-nvidia-nvjitlink-cu12 = "*"
-
-[[package]]
-name = "nvidia-cusparselt-cu12"
-version = "0.7.1"
-description = "NVIDIA cuSPARSELt"
-optional = false
-python-versions = "*"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8878dce784d0fac90131b6817b607e803c36e629ba34dc5b433471382196b6a5"},
-    {file = "nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f1bb701d6b930d5a7cea44c19ceb973311500847f81b634d802b7b539dc55623"},
-    {file = "nvidia_cusparselt_cu12-0.7.1-py3-none-win_amd64.whl", hash = "sha256:f67fbb5831940ec829c9117b7f33807db9f9678dc2a617fbe781cac17b4e1075"},
-]
-
-[[package]]
-name = "nvidia-nccl-cu12"
-version = "2.27.5"
-description = "NVIDIA Collective Communication Library (NCCL) Runtime"
-optional = false
-python-versions = ">=3"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:31432ad4d1fb1004eb0c56203dc9bc2178a1ba69d1d9e02d64a6938ab5e40e7a"},
-    {file = "nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ad730cf15cb5d25fe849c6e6ca9eb5b76db16a80f13f425ac68d8e2e55624457"},
-]
-
-[[package]]
-name = "nvidia-nvjitlink-cu12"
-version = "12.8.93"
-description = "Nvidia JIT LTO Library"
-optional = false
-python-versions = ">=3"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88"},
-    {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:adccd7161ace7261e01bb91e44e88da350895c270d23f744f0820c818b7229e7"},
-    {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-win_amd64.whl", hash = "sha256:bd93fbeeee850917903583587f4fc3a4eafa022e34572251368238ab5e6bd67f"},
-]
-
-[[package]]
-name = "nvidia-nvshmem-cu12"
-version = "3.4.5"
-description = "NVSHMEM creates a global address space that provides efficient and scalable communication for NVIDIA GPU clusters."
-optional = false
-python-versions = ">=3"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_nvshmem_cu12-3.4.5-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0b48363fc6964dede448029434c6abed6c5e37f823cb43c3bcde7ecfc0457e15"},
-    {file = "nvidia_nvshmem_cu12-3.4.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:042f2500f24c021db8a06c5eec2539027d57460e1c1a762055a6554f72c369bd"},
-]
-
-[[package]]
-name = "nvidia-nvtx-cu12"
-version = "12.8.90"
-description = "NVIDIA Tools Extension"
-optional = false
-python-versions = ">=3"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d7ad891da111ebafbf7e015d34879f7112832fc239ff0d7d776b6cb685274615"},
-    {file = "nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5b17e2001cc0d751a5bc2c6ec6d26ad95913324a4adb86788c944f8ce9ba441f"},
-    {file = "nvidia_nvtx_cu12-12.8.90-py3-none-win_amd64.whl", hash = "sha256:619c8304aedc69f02ea82dd244541a83c3d9d40993381b3b590f1adaed3db41e"},
-]
-
-[[package]]
-name = "orjson"
-version = "3.11.6"
-description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
-optional = false
-python-versions = ">=3.10"
-groups = ["shiny"]
-files = [
-    {file = "orjson-3.11.6-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:a613fc37e007143d5b6286dccb1394cd114b07832417006a02b620ddd8279e37"},
-    {file = "orjson-3.11.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:46ebee78f709d3ba7a65384cfe285bb0763157c6d2f836e7bde2f12d33a867a2"},
-    {file = "orjson-3.11.6-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a726fa86d2368cd57990f2bd95ef5495a6e613b08fc9585dfe121ec758fb08d1"},
-    {file = "orjson-3.11.6-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:150f12e59d6864197770c78126e1a6e07a3da73d1728731bf3bc1e8b96ffdbe6"},
-    {file = "orjson-3.11.6-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9a2d9746a5b5ce20c0908ada451eb56da4ffa01552a50789a0354d8636a02953"},
-    {file = "orjson-3.11.6-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:afd177f5dd91666d31e9019f1b06d2fcdf8a409a1637ddcb5915085dede85680"},
-    {file = "orjson-3.11.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8d777ec41a327bd3b7de97ba7bce12cc1007815ca398e4e4de9ec56c022c090b"},
-    {file = "orjson-3.11.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:f3a135f83185c87c13ff231fcb7dbb2fa4332a376444bd65135b50ff4cc5265c"},
-    {file = "orjson-3.11.6-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:2a8eeed7d4544cf391a142b0dd06029dac588e96cc692d9ab1c3f05b1e57c7f6"},
-    {file = "orjson-3.11.6-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:9d576865a21e5cc6695be8fb78afc812079fd361ce6a027a7d41561b61b33a90"},
-    {file = "orjson-3.11.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:925e2df51f60aa50f8797830f2adfc05330425803f4105875bb511ced98b7f89"},
-    {file = "orjson-3.11.6-cp310-cp310-win32.whl", hash = "sha256:09dded2de64e77ac0b312ad59f35023548fb87393a57447e1bb36a26c181a90f"},
-    {file = "orjson-3.11.6-cp310-cp310-win_amd64.whl", hash = "sha256:3a63b5e7841ca8635214c6be7c0bf0246aa8c5cd4ef0c419b14362d0b2fb13de"},
-    {file = "orjson-3.11.6-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:e259e85a81d76d9665f03d6129e09e4435531870de5961ddcd0bf6e3a7fde7d7"},
-    {file = "orjson-3.11.6-cp311-cp311-macosx_15_0_arm64.whl", hash = "sha256:52263949f41b4a4822c6b1353bcc5ee2f7109d53a3b493501d3369d6d0e7937a"},
-    {file = "orjson-3.11.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6439e742fa7834a24698d358a27346bb203bff356ae0402e7f5df8f749c621a8"},
-    {file = "orjson-3.11.6-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b81ffd68f084b4e993e3867acb554a049fa7787cc8710bbcc1e26965580d99be"},
-    {file = "orjson-3.11.6-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a5a5468e5e60f7ef6d7f9044b06c8f94a3c56ba528c6e4f7f06ae95164b595ec"},
-    {file = "orjson-3.11.6-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:72c5005eb45bd2535632d4f3bec7ad392832cfc46b62a3021da3b48a67734b45"},
-    {file = "orjson-3.11.6-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0b14dd49f3462b014455a28a4d810d3549bf990567653eb43765cd847df09145"},
-    {file = "orjson-3.11.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e0bb2c1ea30ef302f0f89f9bf3e7f9ab5e2af29dc9f80eb87aa99788e4e2d65"},
-    {file = "orjson-3.11.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:825e0a85d189533c6bff7e2fc417a28f6fcea53d27125c4551979aecd6c9a197"},
-    {file = "orjson-3.11.6-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:b04575417a26530637f6ab4b1f7b4f666eb0433491091da4de38611f97f2fcf3"},
-    {file = "orjson-3.11.6-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:b83eb2e40e8c4da6d6b340ee6b1d6125f5195eb1b0ebb7eac23c6d9d4f92d224"},
-    {file = "orjson-3.11.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:1f42da604ee65a6b87eef858c913ce3e5777872b19321d11e6fc6d21de89b64f"},
-    {file = "orjson-3.11.6-cp311-cp311-win32.whl", hash = "sha256:5ae45df804f2d344cffb36c43fdf03c82fb6cd247f5faa41e21891b40dfbf733"},
-    {file = "orjson-3.11.6-cp311-cp311-win_amd64.whl", hash = "sha256:f4295948d65ace0a2d8f2c4ccc429668b7eb8af547578ec882e16bf79b0050b2"},
-    {file = "orjson-3.11.6-cp311-cp311-win_arm64.whl", hash = "sha256:314e9c45e0b81b547e3a1cfa3df3e07a815821b3dac9fe8cb75014071d0c16a4"},
-    {file = "orjson-3.11.6-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:6f03f30cd8953f75f2a439070c743c7336d10ee940da918d71c6f3556af3ddcf"},
-    {file = "orjson-3.11.6-cp312-cp312-macosx_15_0_arm64.whl", hash = "sha256:af44baae65ef386ad971469a8557a0673bb042b0b9fd4397becd9c2dfaa02588"},
-    {file = "orjson-3.11.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c310a48542094e4f7dbb6ac076880994986dda8ca9186a58c3cb70a3514d3231"},
-    {file = "orjson-3.11.6-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d8dfa7a5d387f15ecad94cb6b2d2d5f4aeea64efd8d526bfc03c9812d01e1cc0"},
-    {file = "orjson-3.11.6-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ba8daee3e999411b50f8b50dbb0a3071dd1845f3f9a1a0a6fa6de86d1689d84d"},
-    {file = "orjson-3.11.6-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f89d104c974eafd7436d7a5fdbc57f7a1e776789959a2f4f1b2eab5c62a339f4"},
-    {file = "orjson-3.11.6-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b2e2e2456788ca5ea75616c40da06fc885a7dc0389780e8a41bf7c5389ba257b"},
-    {file = "orjson-3.11.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2a42efebc45afabb1448001e90458c4020d5c64fbac8a8dc4045b777db76cb5a"},
-    {file = "orjson-3.11.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:71b7cbef8471324966c3738c90ba38775563ef01b512feb5ad4805682188d1b9"},
-    {file = "orjson-3.11.6-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:f8515e5910f454fe9a8e13c2bb9dc4bae4c1836313e967e72eb8a4ad874f0248"},
-    {file = "orjson-3.11.6-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:300360edf27c8c9bf7047345a94fddf3a8b8922df0ff69d71d854a170cb375cf"},
-    {file = "orjson-3.11.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:caaed4dad39e271adfadc106fab634d173b2bb23d9cf7e67bd645f879175ebfc"},
-    {file = "orjson-3.11.6-cp312-cp312-win32.whl", hash = "sha256:955368c11808c89793e847830e1b1007503a5923ddadc108547d3b77df761044"},
-    {file = "orjson-3.11.6-cp312-cp312-win_amd64.whl", hash = "sha256:2c68de30131481150073d90a5d227a4a421982f42c025ecdfb66157f9579e06f"},
-    {file = "orjson-3.11.6-cp312-cp312-win_arm64.whl", hash = "sha256:65dfa096f4e3a5e02834b681f539a87fbe85adc82001383c0db907557f666bfc"},
-    {file = "orjson-3.11.6-cp313-cp313-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:e4ae1670caabb598a88d385798692ce2a1b2f078971b3329cfb85253c6097f5b"},
-    {file = "orjson-3.11.6-cp313-cp313-macosx_15_0_arm64.whl", hash = "sha256:2c6b81f47b13dac2caa5d20fbc953c75eb802543abf48403a4703ed3bff225f0"},
-    {file = "orjson-3.11.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:647d6d034e463764e86670644bdcaf8e68b076e6e74783383b01085ae9ab334f"},
-    {file = "orjson-3.11.6-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8523b9cc4ef174ae52414f7699e95ee657c16aa18b3c3c285d48d7966cce9081"},
-    {file = "orjson-3.11.6-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:313dfd7184cde50c733fc0d5c8c0e2f09017b573afd11dc36bd7476b30b4cb17"},
-    {file = "orjson-3.11.6-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:905ee036064ff1e1fd1fb800055ac477cdcb547a78c22c1bc2bbf8d5d1a6fb42"},
-    {file = "orjson-3.11.6-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ce374cb98411356ba906914441fc993f271a7a666d838d8de0e0900dd4a4bc12"},
-    {file = "orjson-3.11.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cded072b9f65fcfd188aead45efa5bd528ba552add619b3ad2a81f67400ec450"},
-    {file = "orjson-3.11.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:7ab85bdbc138e1f73a234db6bb2e4cc1f0fcec8f4bd2bd2430e957a01aadf746"},
-    {file = "orjson-3.11.6-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:351b96b614e3c37a27b8ab048239ebc1e0be76cc17481a430d70a77fb95d3844"},
-    {file = "orjson-3.11.6-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:f9959c85576beae5cdcaaf39510b15105f1ee8b70d5dacd90152617f57be8c83"},
-    {file = "orjson-3.11.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:75682d62b1b16b61a30716d7a2ec1f4c36195de4a1c61f6665aedd947b93a5d5"},
-    {file = "orjson-3.11.6-cp313-cp313-win32.whl", hash = "sha256:40dc277999c2ef227dcc13072be879b4cfd325502daeb5c35ed768f706f2bf30"},
-    {file = "orjson-3.11.6-cp313-cp313-win_amd64.whl", hash = "sha256:f0f6e9f8ff7905660bc3c8a54cd4a675aa98f7f175cf00a59815e2ff42c0d916"},
-    {file = "orjson-3.11.6-cp313-cp313-win_arm64.whl", hash = "sha256:1608999478664de848e5900ce41f25c4ecdfc4beacbc632b6fd55e1a586e5d38"},
-    {file = "orjson-3.11.6-cp314-cp314-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:6026db2692041d2a23fe2545606df591687787825ad5821971ef0974f2c47630"},
-    {file = "orjson-3.11.6-cp314-cp314-macosx_15_0_arm64.whl", hash = "sha256:132b0ab2e20c73afa85cf142e547511feb3d2f5b7943468984658f3952b467d4"},
-    {file = "orjson-3.11.6-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b376fb05f20a96ec117d47987dd3b39265c635725bda40661b4c5b73b77b5fde"},
-    {file = "orjson-3.11.6-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:954dae4e080574672a1dfcf2a840eddef0f27bd89b0e94903dd0824e9c1db060"},
-    {file = "orjson-3.11.6-cp314-cp314-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fe515bb89d59e1e4b48637a964f480b35c0a2676de24e65e55310f6016cca7ce"},
-    {file = "orjson-3.11.6-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:380f9709c275917af28feb086813923251e11ee10687257cd7f1ea188bcd4485"},
-    {file = "orjson-3.11.6-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a8173e0d3f6081e7034c51cf984036d02f6bab2a2126de5a759d79f8e5a140e7"},
-    {file = "orjson-3.11.6-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6dddf9ba706294906c56ef5150a958317b09aa3a8a48df1c52ccf22ec1907eac"},
-    {file = "orjson-3.11.6-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:cbae5c34588dc79938dffb0b6fbe8c531f4dc8a6ad7f39759a9eb5d2da405ef2"},
-    {file = "orjson-3.11.6-cp314-cp314-musllinux_1_2_armv7l.whl", hash = "sha256:f75c318640acbddc419733b57f8a07515e587a939d8f54363654041fd1f4e465"},
-    {file = "orjson-3.11.6-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:e0ab8d13aa2a3e98b4a43487c9205b2c92c38c054b4237777484d503357c8437"},
-    {file = "orjson-3.11.6-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:f884c7fb1020d44612bd7ac0db0babba0e2f78b68d9a650c7959bf99c783773f"},
-    {file = "orjson-3.11.6-cp314-cp314-win32.whl", hash = "sha256:8d1035d1b25732ec9f971e833a3e299d2b1a330236f75e6fd945ad982c76aaf3"},
-    {file = "orjson-3.11.6-cp314-cp314-win_amd64.whl", hash = "sha256:931607a8865d21682bb72de54231655c86df1870502d2962dbfd12c82890d077"},
-    {file = "orjson-3.11.6-cp314-cp314-win_arm64.whl", hash = "sha256:fe71f6b283f4f1832204ab8235ce07adad145052614f77c876fcf0dac97bc06f"},
-    {file = "orjson-3.11.6.tar.gz", hash = "sha256:0a54c72259f35299fd033042367df781c2f66d10252955ca1efb7db309b954cb"},
-]
-
-[[package]]
-name = "overrides"
-version = "7.7.0"
-description = "A decorator to automatically detect mismatch when overriding a method."
-optional = false
-python-versions = ">=3.6"
-groups = ["dev"]
-markers = "python_version < \"3.12\""
-files = [
-    {file = "overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49"},
-    {file = "overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a"},
-]
-
-[[package]]
-name = "packaging"
-version = "26.0"
-description = "Core utilities for Python packages"
-optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev", "shiny"]
-files = [
-    {file = "packaging-26.0-py3-none-any.whl", hash = "sha256:b36f1fef9334a5588b4166f8bcd26a14e521f2b55e6b9de3aaa80d3ff7a37529"},
-    {file = "packaging-26.0.tar.gz", hash = "sha256:00243ae351a257117b6a241061796684b084ed1c516a08c48a3f7e147a9d80b4"},
-]
-
-[[package]]
-name = "paginate"
-version = "0.5.7"
-description = "Divides large result sets into pages for easier browsing"
-optional = false
-python-versions = "*"
-groups = ["dev"]
-files = [
-    {file = "paginate-0.5.7-py2.py3-none-any.whl", hash = "sha256:b885e2af73abcf01d9559fd5216b57ef722f8c42affbb63942377668e35c7591"},
-    {file = "paginate-0.5.7.tar.gz", hash = "sha256:22bd083ab41e1a8b4f3690544afb2c60c25e5c9a63a30fa2f483f6c60c8e5945"},
-]
-
-[package.extras]
-dev = ["pytest", "tox"]
-lint = ["black"]
-
-[[package]]
-name = "pandas"
-version = "2.3.3"
-description = "Powerful data structures for data analysis, time series, and statistics"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "pandas-2.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:376c6446ae31770764215a6c937f72d917f214b43560603cd60da6408f183b6c"},
-    {file = "pandas-2.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e19d192383eab2f4ceb30b412b22ea30690c9e618f78870357ae1d682912015a"},
-    {file = "pandas-2.3.3-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5caf26f64126b6c7aec964f74266f435afef1c1b13da3b0636c7518a1fa3e2b1"},
-    {file = "pandas-2.3.3-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:dd7478f1463441ae4ca7308a70e90b33470fa593429f9d4c578dd00d1fa78838"},
-    {file = "pandas-2.3.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4793891684806ae50d1288c9bae9330293ab4e083ccd1c5e383c34549c6e4250"},
-    {file = "pandas-2.3.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:28083c648d9a99a5dd035ec125d42439c6c1c525098c58af0fc38dd1a7a1b3d4"},
-    {file = "pandas-2.3.3-cp310-cp310-win_amd64.whl", hash = "sha256:503cf027cf9940d2ceaa1a93cfb5f8c8c7e6e90720a2850378f0b3f3b1e06826"},
-    {file = "pandas-2.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:602b8615ebcc4a0c1751e71840428ddebeb142ec02c786e8ad6b1ce3c8dec523"},
-    {file = "pandas-2.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8fe25fc7b623b0ef6b5009149627e34d2a4657e880948ec3c840e9402e5c1b45"},
-    {file = "pandas-2.3.3-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b468d3dad6ff947df92dcb32ede5b7bd41a9b3cceef0a30ed925f6d01fb8fa66"},
-    {file = "pandas-2.3.3-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b98560e98cb334799c0b07ca7967ac361a47326e9b4e5a7dfb5ab2b1c9d35a1b"},
-    {file = "pandas-2.3.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1d37b5848ba49824e5c30bedb9c830ab9b7751fd049bc7914533e01c65f79791"},
-    {file = "pandas-2.3.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:db4301b2d1f926ae677a751eb2bd0e8c5f5319c9cb3f88b0becbbb0b07b34151"},
-    {file = "pandas-2.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:f086f6fe114e19d92014a1966f43a3e62285109afe874f067f5abbdcbb10e59c"},
-    {file = "pandas-2.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6d21f6d74eb1725c2efaa71a2bfc661a0689579b58e9c0ca58a739ff0b002b53"},
-    {file = "pandas-2.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3fd2f887589c7aa868e02632612ba39acb0b8948faf5cc58f0850e165bd46f35"},
-    {file = "pandas-2.3.3-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ecaf1e12bdc03c86ad4a7ea848d66c685cb6851d807a26aa245ca3d2017a1908"},
-    {file = "pandas-2.3.3-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b3d11d2fda7eb164ef27ffc14b4fcab16a80e1ce67e9f57e19ec0afaf715ba89"},
-    {file = "pandas-2.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a68e15f780eddf2b07d242e17a04aa187a7ee12b40b930bfdd78070556550e98"},
-    {file = "pandas-2.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:371a4ab48e950033bcf52b6527eccb564f52dc826c02afd9a1bc0ab731bba084"},
-    {file = "pandas-2.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:a16dcec078a01eeef8ee61bf64074b4e524a2a3f4b3be9326420cabe59c4778b"},
-    {file = "pandas-2.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:56851a737e3470de7fa88e6131f41281ed440d29a9268dcbf0002da5ac366713"},
-    {file = "pandas-2.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:bdcd9d1167f4885211e401b3036c0c8d9e274eee67ea8d0758a256d60704cfe8"},
-    {file = "pandas-2.3.3-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e32e7cc9af0f1cc15548288a51a3b681cc2a219faa838e995f7dc53dbab1062d"},
-    {file = "pandas-2.3.3-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:318d77e0e42a628c04dc56bcef4b40de67918f7041c2b061af1da41dcff670ac"},
-    {file = "pandas-2.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:4e0a175408804d566144e170d0476b15d78458795bb18f1304fb94160cabf40c"},
-    {file = "pandas-2.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:93c2d9ab0fc11822b5eece72ec9587e172f63cff87c00b062f6e37448ced4493"},
-    {file = "pandas-2.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:f8bfc0e12dc78f777f323f55c58649591b2cd0c43534e8355c51d3fede5f4dee"},
-    {file = "pandas-2.3.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:75ea25f9529fdec2d2e93a42c523962261e567d250b0013b16210e1d40d7c2e5"},
-    {file = "pandas-2.3.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:74ecdf1d301e812db96a465a525952f4dde225fdb6d8e5a521d47e1f42041e21"},
-    {file = "pandas-2.3.3-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6435cb949cb34ec11cc9860246ccb2fdc9ecd742c12d3304989017d53f039a78"},
-    {file = "pandas-2.3.3-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:900f47d8f20860de523a1ac881c4c36d65efcb2eb850e6948140fa781736e110"},
-    {file = "pandas-2.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:a45c765238e2ed7d7c608fc5bc4a6f88b642f2f01e70c0c23d2224dd21829d86"},
-    {file = "pandas-2.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:c4fc4c21971a1a9f4bdb4c73978c7f7256caa3e62b323f70d6cb80db583350bc"},
-    {file = "pandas-2.3.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:ee15f284898e7b246df8087fc82b87b01686f98ee67d85a17b7ab44143a3a9a0"},
-    {file = "pandas-2.3.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:1611aedd912e1ff81ff41c745822980c49ce4a7907537be8692c8dbc31924593"},
-    {file = "pandas-2.3.3-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6d2cefc361461662ac48810cb14365a365ce864afe85ef1f447ff5a1e99ea81c"},
-    {file = "pandas-2.3.3-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ee67acbbf05014ea6c763beb097e03cd629961c8a632075eeb34247120abcb4b"},
-    {file = "pandas-2.3.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c46467899aaa4da076d5abc11084634e2d197e9460643dd455ac3db5856b24d6"},
-    {file = "pandas-2.3.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6253c72c6a1d990a410bc7de641d34053364ef8bcd3126f7e7450125887dffe3"},
-    {file = "pandas-2.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:1b07204a219b3b7350abaae088f451860223a52cfb8a6c53358e7948735158e5"},
-    {file = "pandas-2.3.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:2462b1a365b6109d275250baaae7b760fd25c726aaca0054649286bcfbb3e8ec"},
-    {file = "pandas-2.3.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:0242fe9a49aa8b4d78a4fa03acb397a58833ef6199e9aa40a95f027bb3a1b6e7"},
-    {file = "pandas-2.3.3-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a21d830e78df0a515db2b3d2f5570610f5e6bd2e27749770e8bb7b524b89b450"},
-    {file = "pandas-2.3.3-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2e3ebdb170b5ef78f19bfb71b0dc5dc58775032361fa188e814959b74d726dd5"},
-    {file = "pandas-2.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:d051c0e065b94b7a3cea50eb1ec32e912cd96dba41647eb24104b6c6c14c5788"},
-    {file = "pandas-2.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:3869faf4bd07b3b66a9f462417d0ca3a9df29a9f6abd5d0d0dbab15dac7abe87"},
-    {file = "pandas-2.3.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c503ba5216814e295f40711470446bc3fd00f0faea8a086cbc688808e26f92a2"},
-    {file = "pandas-2.3.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a637c5cdfa04b6d6e2ecedcb81fc52ffb0fd78ce2ebccc9ea964df9f658de8c8"},
-    {file = "pandas-2.3.3-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:854d00d556406bffe66a4c0802f334c9ad5a96b4f1f868adf036a21b11ef13ff"},
-    {file = "pandas-2.3.3-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:bf1f8a81d04ca90e32a0aceb819d34dbd378a98bf923b6398b9a3ec0bf44de29"},
-    {file = "pandas-2.3.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:23ebd657a4d38268c7dfbdf089fbc31ea709d82e4923c5ffd4fbd5747133ce73"},
-    {file = "pandas-2.3.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:5554c929ccc317d41a5e3d1234f3be588248e61f08a74dd17c9eabb535777dc9"},
-    {file = "pandas-2.3.3-cp39-cp39-win_amd64.whl", hash = "sha256:d3e28b3e83862ccf4d85ff19cf8c20b2ae7e503881711ff2d534dc8f761131aa"},
-    {file = "pandas-2.3.3.tar.gz", hash = "sha256:e05e1af93b977f7eafa636d043f9f94c7ee3ac81af99c13508215942e64c993b"},
-]
-
-[package.dependencies]
-numpy = {version = ">=1.22.4", markers = "python_version < \"3.11\""}
-python-dateutil = ">=2.8.2"
-pytz = ">=2020.1"
-tzdata = ">=2022.7"
-
-[package.extras]
-all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"]
-aws = ["s3fs (>=2022.11.0)"]
-clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"]
-compression = ["zstandard (>=0.19.0)"]
-computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"]
-consortium-standard = ["dataframe-api-compat (>=0.1.7)"]
-excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"]
-feather = ["pyarrow (>=10.0.1)"]
-fss = ["fsspec (>=2022.11.0)"]
-gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"]
-hdf5 = ["tables (>=3.8.0)"]
-html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"]
-mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"]
-output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"]
-parquet = ["pyarrow (>=10.0.1)"]
-performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"]
-plot = ["matplotlib (>=3.6.3)"]
-postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"]
-pyarrow = ["pyarrow (>=10.0.1)"]
-spss = ["pyreadstat (>=1.2.0)"]
-sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"]
-test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
-xml = ["lxml (>=4.9.2)"]
-
-[[package]]
-name = "pandas"
-version = "3.0.0"
-description = "Powerful data structures for data analysis, time series, and statistics"
-optional = false
-python-versions = ">=3.11"
-groups = ["main"]
-markers = "python_version >= \"3.11\""
-files = [
-    {file = "pandas-3.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d64ce01eb9cdca96a15266aa679ae50212ec52757c79204dbc7701a222401850"},
-    {file = "pandas-3.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:613e13426069793aa1ec53bdcc3b86e8d32071daea138bbcf4fa959c9cdaa2e2"},
-    {file = "pandas-3.0.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0192fee1f1a8e743b464a6607858ee4b071deb0b118eb143d71c2a1d170996d5"},
-    {file = "pandas-3.0.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f0b853319dec8d5e0c8b875374c078ef17f2269986a78168d9bd57e49bf650ae"},
-    {file = "pandas-3.0.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:707a9a877a876c326ae2cb640fbdc4ef63b0a7b9e2ef55c6df9942dcee8e2af9"},
-    {file = "pandas-3.0.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:afd0aa3d0b5cda6e0b8ffc10dbcca3b09ef3cbcd3fe2b27364f85fdc04e1989d"},
-    {file = "pandas-3.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:113b4cca2614ff7e5b9fee9b6f066618fe73c5a83e99d721ffc41217b2bf57dd"},
-    {file = "pandas-3.0.0-cp311-cp311-win_arm64.whl", hash = "sha256:c14837eba8e99a8da1527c0280bba29b0eb842f64aa94982c5e21227966e164b"},
-    {file = "pandas-3.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:9803b31f5039b3c3b10cc858c5e40054adb4b29b4d81cb2fd789f4121c8efbcd"},
-    {file = "pandas-3.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:14c2a4099cd38a1d18ff108168ea417909b2dea3bd1ebff2ccf28ddb6a74d740"},
-    {file = "pandas-3.0.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d257699b9a9960e6125686098d5714ac59d05222bef7a5e6af7a7fd87c650801"},
-    {file = "pandas-3.0.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:69780c98f286076dcafca38d8b8eee1676adf220199c0a39f0ecbf976b68151a"},
-    {file = "pandas-3.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4a66384f017240f3858a4c8a7cf21b0591c3ac885cddb7758a589f0f71e87ebb"},
-    {file = "pandas-3.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:be8c515c9bc33989d97b89db66ea0cececb0f6e3c2a87fcc8b69443a6923e95f"},
-    {file = "pandas-3.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:a453aad8c4f4e9f166436994a33884442ea62aa8b27d007311e87521b97246e1"},
-    {file = "pandas-3.0.0-cp312-cp312-win_arm64.whl", hash = "sha256:da768007b5a33057f6d9053563d6b74dd6d029c337d93c6d0d22a763a5c2ecc0"},
-    {file = "pandas-3.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:b78d646249b9a2bc191040988c7bb524c92fa8534fb0898a0741d7e6f2ffafa6"},
-    {file = "pandas-3.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:bc9cba7b355cb4162442a88ce495e01cb605f17ac1e27d6596ac963504e0305f"},
-    {file = "pandas-3.0.0-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3c9a1a149aed3b6c9bf246033ff91e1b02d529546c5d6fb6b74a28fea0cf4c70"},
-    {file = "pandas-3.0.0-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:95683af6175d884ee89471842acfca29172a85031fccdabc35e50c0984470a0e"},
-    {file = "pandas-3.0.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:1fbbb5a7288719e36b76b4f18d46ede46e7f916b6c8d9915b756b0a6c3f792b3"},
-    {file = "pandas-3.0.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8e8b9808590fa364416b49b2a35c1f4cf2785a6c156935879e57f826df22038e"},
-    {file = "pandas-3.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:98212a38a709feb90ae658cb6227ea3657c22ba8157d4b8f913cd4c950de5e7e"},
-    {file = "pandas-3.0.0-cp313-cp313-win_arm64.whl", hash = "sha256:177d9df10b3f43b70307a149d7ec49a1229a653f907aa60a48f1877d0e6be3be"},
-    {file = "pandas-3.0.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:2713810ad3806767b89ad3b7b69ba153e1c6ff6d9c20f9c2140379b2a98b6c98"},
-    {file = "pandas-3.0.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:15d59f885ee5011daf8335dff47dcb8a912a27b4ad7826dc6cbe809fd145d327"},
-    {file = "pandas-3.0.0-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:24e6547fb64d2c92665dd2adbfa4e85fa4fd70a9c070e7cfb03b629a0bbab5eb"},
-    {file = "pandas-3.0.0-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:48ee04b90e2505c693d3f8e8f524dab8cb8aaf7ddcab52c92afa535e717c4812"},
-    {file = "pandas-3.0.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:66f72fb172959af42a459e27a8d8d2c7e311ff4c1f7db6deb3b643dbc382ae08"},
-    {file = "pandas-3.0.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4a4a400ca18230976724a5066f20878af785f36c6756e498e94c2a5e5d57779c"},
-    {file = "pandas-3.0.0-cp313-cp313t-win_amd64.whl", hash = "sha256:940eebffe55528074341a5a36515f3e4c5e25e958ebbc764c9502cfc35ba3faa"},
-    {file = "pandas-3.0.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:597c08fb9fef0edf1e4fa2f9828dd27f3d78f9b8c9b4a748d435ffc55732310b"},
-    {file = "pandas-3.0.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:447b2d68ac5edcbf94655fe909113a6dba6ef09ad7f9f60c80477825b6c489fe"},
-    {file = "pandas-3.0.0-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:debb95c77ff3ed3ba0d9aa20c3a2f19165cc7956362f9873fce1ba0a53819d70"},
-    {file = "pandas-3.0.0-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fedabf175e7cd82b69b74c30adbaa616de301291a5231138d7242596fc296a8d"},
-    {file = "pandas-3.0.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:412d1a89aab46889f3033a386912efcdfa0f1131c5705ff5b668dda88305e986"},
-    {file = "pandas-3.0.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:e979d22316f9350c516479dd3a92252be2937a9531ed3a26ec324198a99cdd49"},
-    {file = "pandas-3.0.0-cp314-cp314-win_amd64.whl", hash = "sha256:083b11415b9970b6e7888800c43c82e81a06cd6b06755d84804444f0007d6bb7"},
-    {file = "pandas-3.0.0-cp314-cp314-win_arm64.whl", hash = "sha256:5db1e62cb99e739fa78a28047e861b256d17f88463c76b8dafc7c1338086dca8"},
-    {file = "pandas-3.0.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:697b8f7d346c68274b1b93a170a70974cdc7d7354429894d5927c1effdcccd73"},
-    {file = "pandas-3.0.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:8cb3120f0d9467ed95e77f67a75e030b67545bcfa08964e349252d674171def2"},
-    {file = "pandas-3.0.0-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:33fd3e6baa72899746b820c31e4b9688c8e1b7864d7aec2de7ab5035c285277a"},
-    {file = "pandas-3.0.0-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a8942e333dc67ceda1095227ad0febb05a3b36535e520154085db632c40ad084"},
-    {file = "pandas-3.0.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:783ac35c4d0fe0effdb0d67161859078618b1b6587a1af15928137525217a721"},
-    {file = "pandas-3.0.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:125eb901e233f155b268bbef9abd9afb5819db74f0e677e89a61b246228c71ac"},
-    {file = "pandas-3.0.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b86d113b6c109df3ce0ad5abbc259fe86a1bd4adfd4a31a89da42f84f65509bb"},
-    {file = "pandas-3.0.0-cp314-cp314t-win_arm64.whl", hash = "sha256:1c39eab3ad38f2d7a249095f0a3d8f8c22cc0f847e98ccf5bbe732b272e2d9fa"},
-    {file = "pandas-3.0.0.tar.gz", hash = "sha256:0facf7e87d38f721f0af46fe70d97373a37701b1c09f7ed7aeeb292ade5c050f"},
-]
-
-[package.dependencies]
-numpy = {version = ">=1.26.0", markers = "python_version < \"3.14\""}
-python-dateutil = ">=2.8.2"
-tzdata = {version = "*", markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\""}
-
-[package.extras]
-all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.36)", "adbc-driver-postgresql (>=1.2.0)", "adbc-driver-sqlite (>=1.2.0)", "beautifulsoup4 (>=4.12.3)", "bottleneck (>=1.4.2)", "fastparquet (>=2024.11.0)", "fsspec (>=2024.10.0)", "gcsfs (>=2024.10.0)", "html5lib (>=1.1)", "hypothesis (>=6.116.0)", "jinja2 (>=3.1.5)", "lxml (>=5.3.0)", "matplotlib (>=3.9.3)", "numba (>=0.60.0)", "numexpr (>=2.10.2)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.5)", "psycopg2 (>=2.9.10)", "pyarrow (>=13.0.0)", "pyiceberg (>=0.8.1)", "pymysql (>=1.1.1)", "pyreadstat (>=1.2.8)", "pytest (>=8.3.4)", "pytest-xdist (>=3.6.1)", "python-calamine (>=0.3.0)", "pytz (>=2024.2)", "pyxlsb (>=1.0.10)", "qtpy (>=2.4.2)", "s3fs (>=2024.10.0)", "scipy (>=1.14.1)", "tables (>=3.10.1)", "tabulate (>=0.9.0)", "xarray (>=2024.10.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.2.0)", "zstandard (>=0.23.0)"]
-aws = ["s3fs (>=2024.10.0)"]
-clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.4.2)"]
-compression = ["zstandard (>=0.23.0)"]
-computation = ["scipy (>=1.14.1)", "xarray (>=2024.10.0)"]
-excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.5)", "python-calamine (>=0.3.0)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.2.0)"]
-feather = ["pyarrow (>=13.0.0)"]
-fss = ["fsspec (>=2024.10.0)"]
-gcp = ["gcsfs (>=2024.10.0)"]
-hdf5 = ["tables (>=3.10.1)"]
-html = ["beautifulsoup4 (>=4.12.3)", "html5lib (>=1.1)", "lxml (>=5.3.0)"]
-iceberg = ["pyiceberg (>=0.8.1)"]
-mysql = ["SQLAlchemy (>=2.0.36)", "pymysql (>=1.1.1)"]
-output-formatting = ["jinja2 (>=3.1.5)", "tabulate (>=0.9.0)"]
-parquet = ["pyarrow (>=13.0.0)"]
-performance = ["bottleneck (>=1.4.2)", "numba (>=0.60.0)", "numexpr (>=2.10.2)"]
-plot = ["matplotlib (>=3.9.3)"]
-postgresql = ["SQLAlchemy (>=2.0.36)", "adbc-driver-postgresql (>=1.2.0)", "psycopg2 (>=2.9.10)"]
-pyarrow = ["pyarrow (>=13.0.0)"]
-spss = ["pyreadstat (>=1.2.8)"]
-sql-other = ["SQLAlchemy (>=2.0.36)", "adbc-driver-postgresql (>=1.2.0)", "adbc-driver-sqlite (>=1.2.0)"]
-test = ["hypothesis (>=6.116.0)", "pytest (>=8.3.4)", "pytest-xdist (>=3.6.1)"]
-timezone = ["pytz (>=2024.2)"]
-xml = ["lxml (>=5.3.0)"]
-
-[[package]]
-name = "pandocfilters"
-version = "1.5.1"
-description = "Utilities for writing pandoc filters in python"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-groups = ["dev"]
-files = [
-    {file = "pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc"},
-    {file = "pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e"},
-]
-
-[[package]]
-name = "parso"
-version = "0.8.5"
-description = "A Python Parser"
-optional = false
-python-versions = ">=3.6"
-groups = ["dev"]
-files = [
-    {file = "parso-0.8.5-py2.py3-none-any.whl", hash = "sha256:646204b5ee239c396d040b90f9e272e9a8017c630092bf59980beb62fd033887"},
-    {file = "parso-0.8.5.tar.gz", hash = "sha256:034d7354a9a018bdce352f48b2a8a450f05e9d6ee85db84764e9b6bd96dafe5a"},
-]
-
-[package.extras]
-qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
-testing = ["docopt", "pytest"]
-
-[[package]]
-name = "pathspec"
-version = "1.0.4"
-description = "Utility library for gitignore style pattern matching of file paths."
-optional = false
-python-versions = ">=3.9"
-groups = ["main", "dev"]
-files = [
-    {file = "pathspec-1.0.4-py3-none-any.whl", hash = "sha256:fb6ae2fd4e7c921a165808a552060e722767cfa526f99ca5156ed2ce45a5c723"},
-    {file = "pathspec-1.0.4.tar.gz", hash = "sha256:0210e2ae8a21a9137c0d470578cb0e595af87edaa6ebf12ff176f14a02e0e645"},
-]
-
-[package.extras]
-hyperscan = ["hyperscan (>=0.7)"]
-optional = ["typing-extensions (>=4)"]
-re2 = ["google-re2 (>=1.1)"]
-tests = ["pytest (>=9)", "typing-extensions (>=4.15)"]
-
-[[package]]
-name = "patsy"
-version = "1.0.2"
-description = "A Python package for describing statistical models and for building design matrices."
-optional = false
-python-versions = ">=3.6"
-groups = ["main"]
-files = [
-    {file = "patsy-1.0.2-py2.py3-none-any.whl", hash = "sha256:37bfddbc58fcf0362febb5f54f10743f8b21dd2aa73dec7e7ef59d1b02ae668a"},
-    {file = "patsy-1.0.2.tar.gz", hash = "sha256:cdc995455f6233e90e22de72c37fcadb344e7586fb83f06696f54d92f8ce74c0"},
-]
-
-[package.dependencies]
-numpy = ">=1.4"
-
-[package.extras]
-test = ["pytest", "pytest-cov", "scipy"]
-
-[[package]]
-name = "pexpect"
-version = "4.9.0"
-description = "Pexpect allows easy control of interactive console applications."
-optional = false
-python-versions = "*"
-groups = ["dev"]
-markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""
-files = [
-    {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"},
-    {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"},
-]
-
-[package.dependencies]
-ptyprocess = ">=0.5"
-
-[[package]]
-name = "pillow"
-version = "12.1.0"
-description = "Python Imaging Library (fork)"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-files = [
-    {file = "pillow-12.1.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:fb125d860738a09d363a88daa0f59c4533529a90e564785e20fe875b200b6dbd"},
-    {file = "pillow-12.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cad302dc10fac357d3467a74a9561c90609768a6f73a1923b0fd851b6486f8b0"},
-    {file = "pillow-12.1.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:a40905599d8079e09f25027423aed94f2823adaf2868940de991e53a449e14a8"},
-    {file = "pillow-12.1.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:92a7fe4225365c5e3a8e598982269c6d6698d3e783b3b1ae979e7819f9cd55c1"},
-    {file = "pillow-12.1.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f10c98f49227ed8383d28174ee95155a675c4ed7f85e2e573b04414f7e371bda"},
-    {file = "pillow-12.1.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8637e29d13f478bc4f153d8daa9ffb16455f0a6cb287da1b432fdad2bfbd66c7"},
-    {file = "pillow-12.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:21e686a21078b0f9cb8c8a961d99e6a4ddb88e0fc5ea6e130172ddddc2e5221a"},
-    {file = "pillow-12.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2415373395a831f53933c23ce051021e79c8cd7979822d8cc478547a3f4da8ef"},
-    {file = "pillow-12.1.0-cp310-cp310-win32.whl", hash = "sha256:e75d3dba8fc1ddfec0cd752108f93b83b4f8d6ab40e524a95d35f016b9683b09"},
-    {file = "pillow-12.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:64efdf00c09e31efd754448a383ea241f55a994fd079866b92d2bbff598aad91"},
-    {file = "pillow-12.1.0-cp310-cp310-win_arm64.whl", hash = "sha256:f188028b5af6b8fb2e9a76ac0f841a575bd1bd396e46ef0840d9b88a48fdbcea"},
-    {file = "pillow-12.1.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:a83e0850cb8f5ac975291ebfc4170ba481f41a28065277f7f735c202cd8e0af3"},
-    {file = "pillow-12.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b6e53e82ec2db0717eabb276aa56cf4e500c9a7cec2c2e189b55c24f65a3e8c0"},
-    {file = "pillow-12.1.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:40a8e3b9e8773876d6e30daed22f016509e3987bab61b3b7fe309d7019a87451"},
-    {file = "pillow-12.1.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:800429ac32c9b72909c671aaf17ecd13110f823ddb7db4dfef412a5587c2c24e"},
-    {file = "pillow-12.1.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0b022eaaf709541b391ee069f0022ee5b36c709df71986e3f7be312e46f42c84"},
-    {file = "pillow-12.1.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1f345e7bc9d7f368887c712aa5054558bad44d2a301ddf9248599f4161abc7c0"},
-    {file = "pillow-12.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d70347c8a5b7ccd803ec0c85c8709f036e6348f1e6a5bf048ecd9c64d3550b8b"},
-    {file = "pillow-12.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:1fcc52d86ce7a34fd17cb04e87cfdb164648a3662a6f20565910a99653d66c18"},
-    {file = "pillow-12.1.0-cp311-cp311-win32.whl", hash = "sha256:3ffaa2f0659e2f740473bcf03c702c39a8d4b2b7ffc629052028764324842c64"},
-    {file = "pillow-12.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:806f3987ffe10e867bab0ddad45df1148a2b98221798457fa097ad85d6e8bc75"},
-    {file = "pillow-12.1.0-cp311-cp311-win_arm64.whl", hash = "sha256:9f5fefaca968e700ad1a4a9de98bf0869a94e397fe3524c4c9450c1445252304"},
-    {file = "pillow-12.1.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:a332ac4ccb84b6dde65dbace8431f3af08874bf9770719d32a635c4ef411b18b"},
-    {file = "pillow-12.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:907bfa8a9cb790748a9aa4513e37c88c59660da3bcfffbd24a7d9e6abf224551"},
-    {file = "pillow-12.1.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:efdc140e7b63b8f739d09a99033aa430accce485ff78e6d311973a67b6bf3208"},
-    {file = "pillow-12.1.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bef9768cab184e7ae6e559c032e95ba8d07b3023c289f79a2bd36e8bf85605a5"},
-    {file = "pillow-12.1.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:742aea052cf5ab5034a53c3846165bc3ce88d7c38e954120db0ab867ca242661"},
-    {file = "pillow-12.1.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a6dfc2af5b082b635af6e08e0d1f9f1c4e04d17d4e2ca0ef96131e85eda6eb17"},
-    {file = "pillow-12.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:609e89d9f90b581c8d16358c9087df76024cf058fa693dd3e1e1620823f39670"},
-    {file = "pillow-12.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:43b4899cfd091a9693a1278c4982f3e50f7fb7cff5153b05174b4afc9593b616"},
-    {file = "pillow-12.1.0-cp312-cp312-win32.whl", hash = "sha256:aa0c9cc0b82b14766a99fbe6084409972266e82f459821cd26997a488a7261a7"},
-    {file = "pillow-12.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:d70534cea9e7966169ad29a903b99fc507e932069a881d0965a1a84bb57f6c6d"},
-    {file = "pillow-12.1.0-cp312-cp312-win_arm64.whl", hash = "sha256:65b80c1ee7e14a87d6a068dd3b0aea268ffcabfe0498d38661b00c5b4b22e74c"},
-    {file = "pillow-12.1.0-cp313-cp313-ios_13_0_arm64_iphoneos.whl", hash = "sha256:7b5dd7cbae20285cdb597b10eb5a2c13aa9de6cde9bb64a3c1317427b1db1ae1"},
-    {file = "pillow-12.1.0-cp313-cp313-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:29a4cef9cb672363926f0470afc516dbf7305a14d8c54f7abbb5c199cd8f8179"},
-    {file = "pillow-12.1.0-cp313-cp313-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:681088909d7e8fa9e31b9799aaa59ba5234c58e5e4f1951b4c4d1082a2e980e0"},
-    {file = "pillow-12.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:983976c2ab753166dc66d36af6e8ec15bb511e4a25856e2227e5f7e00a160587"},
-    {file = "pillow-12.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:db44d5c160a90df2d24a24760bbd37607d53da0b34fb546c4c232af7192298ac"},
-    {file = "pillow-12.1.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:6b7a9d1db5dad90e2991645874f708e87d9a3c370c243c2d7684d28f7e133e6b"},
-    {file = "pillow-12.1.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6258f3260986990ba2fa8a874f8b6e808cf5abb51a94015ca3dc3c68aa4f30ea"},
-    {file = "pillow-12.1.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e115c15e3bc727b1ca3e641a909f77f8ca72a64fff150f666fcc85e57701c26c"},
-    {file = "pillow-12.1.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6741e6f3074a35e47c77b23a4e4f2d90db3ed905cb1c5e6e0d49bff2045632bc"},
-    {file = "pillow-12.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:935b9d1aed48fcfb3f838caac506f38e29621b44ccc4f8a64d575cb1b2a88644"},
-    {file = "pillow-12.1.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5fee4c04aad8932da9f8f710af2c1a15a83582cfb884152a9caa79d4efcdbf9c"},
-    {file = "pillow-12.1.0-cp313-cp313-win32.whl", hash = "sha256:a786bf667724d84aa29b5db1c61b7bfdde380202aaca12c3461afd6b71743171"},
-    {file = "pillow-12.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:461f9dfdafa394c59cd6d818bdfdbab4028b83b02caadaff0ffd433faf4c9a7a"},
-    {file = "pillow-12.1.0-cp313-cp313-win_arm64.whl", hash = "sha256:9212d6b86917a2300669511ed094a9406888362e085f2431a7da985a6b124f45"},
-    {file = "pillow-12.1.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:00162e9ca6d22b7c3ee8e61faa3c3253cd19b6a37f126cad04f2f88b306f557d"},
-    {file = "pillow-12.1.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:7d6daa89a00b58c37cb1747ec9fb7ac3bc5ffd5949f5888657dfddde6d1312e0"},
-    {file = "pillow-12.1.0-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:e2479c7f02f9d505682dc47df8c0ea1fc5e264c4d1629a5d63fe3e2334b89554"},
-    {file = "pillow-12.1.0-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f188d580bd870cda1e15183790d1cc2fa78f666e76077d103edf048eed9c356e"},
-    {file = "pillow-12.1.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0fde7ec5538ab5095cc02df38ee99b0443ff0e1c847a045554cf5f9af1f4aa82"},
-    {file = "pillow-12.1.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0ed07dca4a8464bada6139ab38f5382f83e5f111698caf3191cb8dbf27d908b4"},
-    {file = "pillow-12.1.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:f45bd71d1fa5e5749587613037b172e0b3b23159d1c00ef2fc920da6f470e6f0"},
-    {file = "pillow-12.1.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:277518bf4fe74aa91489e1b20577473b19ee70fb97c374aa50830b279f25841b"},
-    {file = "pillow-12.1.0-cp313-cp313t-win32.whl", hash = "sha256:7315f9137087c4e0ee73a761b163fc9aa3b19f5f606a7fc08d83fd3e4379af65"},
-    {file = "pillow-12.1.0-cp313-cp313t-win_amd64.whl", hash = "sha256:0ddedfaa8b5f0b4ffbc2fa87b556dc59f6bb4ecb14a53b33f9189713ae8053c0"},
-    {file = "pillow-12.1.0-cp313-cp313t-win_arm64.whl", hash = "sha256:80941e6d573197a0c28f394753de529bb436b1ca990ed6e765cf42426abc39f8"},
-    {file = "pillow-12.1.0-cp314-cp314-ios_13_0_arm64_iphoneos.whl", hash = "sha256:5cb7bc1966d031aec37ddb9dcf15c2da5b2e9f7cc3ca7c54473a20a927e1eb91"},
-    {file = "pillow-12.1.0-cp314-cp314-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:97e9993d5ed946aba26baf9c1e8cf18adbab584b99f452ee72f7ee8acb882796"},
-    {file = "pillow-12.1.0-cp314-cp314-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:414b9a78e14ffeb98128863314e62c3f24b8a86081066625700b7985b3f529bd"},
-    {file = "pillow-12.1.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:e6bdb408f7c9dd2a5ff2b14a3b0bb6d4deb29fb9961e6eb3ae2031ae9a5cec13"},
-    {file = "pillow-12.1.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:3413c2ae377550f5487991d444428f1a8ae92784aac79caa8b1e3b89b175f77e"},
-    {file = "pillow-12.1.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:e5dcbe95016e88437ecf33544ba5db21ef1b8dd6e1b434a2cb2a3d605299e643"},
-    {file = "pillow-12.1.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d0a7735df32ccbcc98b98a1ac785cc4b19b580be1bdf0aeb5c03223220ea09d5"},
-    {file = "pillow-12.1.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0c27407a2d1b96774cbc4a7594129cc027339fd800cd081e44497722ea1179de"},
-    {file = "pillow-12.1.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:15c794d74303828eaa957ff8070846d0efe8c630901a1c753fdc63850e19ecd9"},
-    {file = "pillow-12.1.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c990547452ee2800d8506c4150280757f88532f3de2a58e3022e9b179107862a"},
-    {file = "pillow-12.1.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:b63e13dd27da389ed9475b3d28510f0f954bca0041e8e551b2a4eb1eab56a39a"},
-    {file = "pillow-12.1.0-cp314-cp314-win32.whl", hash = "sha256:1a949604f73eb07a8adab38c4fe50791f9919344398bdc8ac6b307f755fc7030"},
-    {file = "pillow-12.1.0-cp314-cp314-win_amd64.whl", hash = "sha256:4f9f6a650743f0ddee5593ac9e954ba1bdbc5e150bc066586d4f26127853ab94"},
-    {file = "pillow-12.1.0-cp314-cp314-win_arm64.whl", hash = "sha256:808b99604f7873c800c4840f55ff389936ef1948e4e87645eaf3fccbc8477ac4"},
-    {file = "pillow-12.1.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:bc11908616c8a283cf7d664f77411a5ed2a02009b0097ff8abbba5e79128ccf2"},
-    {file = "pillow-12.1.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:896866d2d436563fa2a43a9d72f417874f16b5545955c54a64941e87c1376c61"},
-    {file = "pillow-12.1.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:8e178e3e99d3c0ea8fc64b88447f7cac8ccf058af422a6cedc690d0eadd98c51"},
-    {file = "pillow-12.1.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:079af2fb0c599c2ec144ba2c02766d1b55498e373b3ac64687e43849fbbef5bc"},
-    {file = "pillow-12.1.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdec5e43377761c5dbca620efb69a77f6855c5a379e32ac5b158f54c84212b14"},
-    {file = "pillow-12.1.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:565c986f4b45c020f5421a4cea13ef294dde9509a8577f29b2fc5edc7587fff8"},
-    {file = "pillow-12.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:43aca0a55ce1eefc0aefa6253661cb54571857b1a7b2964bd8a1e3ef4b729924"},
-    {file = "pillow-12.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:0deedf2ea233722476b3a81e8cdfbad786f7adbed5d848469fa59fe52396e4ef"},
-    {file = "pillow-12.1.0-cp314-cp314t-win32.whl", hash = "sha256:b17fbdbe01c196e7e159aacb889e091f28e61020a8abeac07b68079b6e626988"},
-    {file = "pillow-12.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:27b9baecb428899db6c0de572d6d305cfaf38ca1596b5c0542a5182e3e74e8c6"},
-    {file = "pillow-12.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:f61333d817698bdcdd0f9d7793e365ac3d2a21c1f1eb02b32ad6aefb8d8ea831"},
-    {file = "pillow-12.1.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:ca94b6aac0d7af2a10ba08c0f888b3d5114439b6b3ef39968378723622fed377"},
-    {file = "pillow-12.1.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:351889afef0f485b84078ea40fe33727a0492b9af3904661b0abbafee0355b72"},
-    {file = "pillow-12.1.0-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:bb0984b30e973f7e2884362b7d23d0a348c7143ee559f38ef3eaab640144204c"},
-    {file = "pillow-12.1.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:84cabc7095dd535ca934d57e9ce2a72ffd216e435a84acb06b2277b1de2689bd"},
-    {file = "pillow-12.1.0-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:53d8b764726d3af1a138dd353116f774e3862ec7e3794e0c8781e30db0f35dfc"},
-    {file = "pillow-12.1.0-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5da841d81b1a05ef940a8567da92decaa15bc4d7dedb540a8c219ad83d91808a"},
-    {file = "pillow-12.1.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:75af0b4c229ac519b155028fa1be632d812a519abba9b46b20e50c6caa184f19"},
-    {file = "pillow-12.1.0.tar.gz", hash = "sha256:5c5ae0a06e9ea030ab786b0251b32c7e4ce10e58d983c0d5c56029455180b5b9"},
-]
-
-[package.extras]
-docs = ["furo", "olefile", "sphinx (>=8.2)", "sphinx-autobuild", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
-fpx = ["olefile"]
-mic = ["olefile"]
-test-arrow = ["arro3-compute", "arro3-core", "nanoarrow", "pyarrow"]
-tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma (>=5)", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "trove-classifiers (>=2024.10.12)"]
-xmp = ["defusedxml"]
-
-[[package]]
-name = "pip"
-version = "25.3"
-description = "The PyPA recommended tool for installing Python packages."
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "pip-25.3-py3-none-any.whl", hash = "sha256:9655943313a94722b7774661c21049070f6bbb0a1516bf02f7c8d5d9201514cd"},
-    {file = "pip-25.3.tar.gz", hash = "sha256:8d0538dbbd7babbd207f261ed969c65de439f6bc9e5dbd3b3b9a77f25d95f343"},
-]
-
-[[package]]
-name = "platformdirs"
-version = "4.5.1"
-description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
-optional = false
-python-versions = ">=3.10"
-groups = ["main", "dev", "shiny"]
-files = [
-    {file = "platformdirs-4.5.1-py3-none-any.whl", hash = "sha256:d03afa3963c806a9bed9d5125c8f4cb2fdaf74a55ab60e5d59b3fde758104d31"},
-    {file = "platformdirs-4.5.1.tar.gz", hash = "sha256:61d5cdcc6065745cdd94f0f878977f8de9437be93de97c1c12f853c9c0cdcbda"},
-]
-
-[package.extras]
-docs = ["furo (>=2025.9.25)", "proselint (>=0.14)", "sphinx (>=8.2.3)", "sphinx-autodoc-typehints (>=3.2)"]
-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.4.2)", "pytest-cov (>=7)", "pytest-mock (>=3.15.1)"]
-type = ["mypy (>=1.18.2)"]
-
-[[package]]
-name = "pluggy"
-version = "1.6.0"
-description = "plugin and hook calling mechanisms for python"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746"},
-    {file = "pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3"},
-]
-
-[package.extras]
-dev = ["pre-commit", "tox"]
-testing = ["coverage", "pytest", "pytest-benchmark"]
-
-[[package]]
-name = "pooch"
-version = "1.8.2"
-description = "A friend to fetch your data files"
-optional = false
-python-versions = ">=3.7"
-groups = ["main"]
-files = [
-    {file = "pooch-1.8.2-py3-none-any.whl", hash = "sha256:3529a57096f7198778a5ceefd5ac3ef0e4d06a6ddaf9fc2d609b806f25302c47"},
-    {file = "pooch-1.8.2.tar.gz", hash = "sha256:76561f0de68a01da4df6af38e9955c4c9d1a5c90da73f7e40276a5728ec83d10"},
-]
-
-[package.dependencies]
-packaging = ">=20.0"
-platformdirs = ">=2.5.0"
-requests = ">=2.19.0"
-
-[package.extras]
-progress = ["tqdm (>=4.41.0,<5.0.0)"]
-sftp = ["paramiko (>=2.7.0)"]
-xxhash = ["xxhash (>=1.4.3)"]
-
-[[package]]
-name = "prometheus-client"
-version = "0.24.1"
-description = "Python client for the Prometheus monitoring system."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "prometheus_client-0.24.1-py3-none-any.whl", hash = "sha256:150db128af71a5c2482b36e588fc8a6b95e498750da4b17065947c16070f4055"},
-    {file = "prometheus_client-0.24.1.tar.gz", hash = "sha256:7e0ced7fbbd40f7b84962d5d2ab6f17ef88a72504dcf7c0b40737b43b2a461f9"},
-]
-
-[package.extras]
-aiohttp = ["aiohttp"]
-django = ["django"]
-twisted = ["twisted"]
-
-[[package]]
-name = "prompt-toolkit"
-version = "3.0.52"
-description = "Library for building powerful interactive command lines in Python"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev", "shiny"]
-files = [
-    {file = "prompt_toolkit-3.0.52-py3-none-any.whl", hash = "sha256:9aac639a3bbd33284347de5ad8d68ecc044b91a762dc39b7c21095fcd6a19955"},
-    {file = "prompt_toolkit-3.0.52.tar.gz", hash = "sha256:28cde192929c8e7321de85de1ddbe736f1375148b02f2e17edd840042b1be855"},
-]
-markers = {shiny = "platform_system != \"Emscripten\""}
-
-[package.dependencies]
-wcwidth = "*"
-
-[[package]]
-name = "psutil"
-version = "7.2.2"
-description = "Cross-platform lib for process and system monitoring."
-optional = false
-python-versions = ">=3.6"
-groups = ["dev"]
-files = [
-    {file = "psutil-7.2.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:2edccc433cbfa046b980b0df0171cd25bcaeb3a68fe9022db0979e7aa74a826b"},
-    {file = "psutil-7.2.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:e78c8603dcd9a04c7364f1a3e670cea95d51ee865e4efb3556a3a63adef958ea"},
-    {file = "psutil-7.2.2-cp313-cp313t-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1a571f2330c966c62aeda00dd24620425d4b0cc86881c89861fbc04549e5dc63"},
-    {file = "psutil-7.2.2-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:917e891983ca3c1887b4ef36447b1e0873e70c933afc831c6b6da078ba474312"},
-    {file = "psutil-7.2.2-cp313-cp313t-win_amd64.whl", hash = "sha256:ab486563df44c17f5173621c7b198955bd6b613fb87c71c161f827d3fb149a9b"},
-    {file = "psutil-7.2.2-cp313-cp313t-win_arm64.whl", hash = "sha256:ae0aefdd8796a7737eccea863f80f81e468a1e4cf14d926bd9b6f5f2d5f90ca9"},
-    {file = "psutil-7.2.2-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:eed63d3b4d62449571547b60578c5b2c4bcccc5387148db46e0c2313dad0ee00"},
-    {file = "psutil-7.2.2-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:7b6d09433a10592ce39b13d7be5a54fbac1d1228ed29abc880fb23df7cb694c9"},
-    {file = "psutil-7.2.2-cp314-cp314t-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1fa4ecf83bcdf6e6c8f4449aff98eefb5d0604bf88cb883d7da3d8d2d909546a"},
-    {file = "psutil-7.2.2-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e452c464a02e7dc7822a05d25db4cde564444a67e58539a00f929c51eddda0cf"},
-    {file = "psutil-7.2.2-cp314-cp314t-win_amd64.whl", hash = "sha256:c7663d4e37f13e884d13994247449e9f8f574bc4655d509c3b95e9ec9e2b9dc1"},
-    {file = "psutil-7.2.2-cp314-cp314t-win_arm64.whl", hash = "sha256:11fe5a4f613759764e79c65cf11ebdf26e33d6dd34336f8a337aa2996d71c841"},
-    {file = "psutil-7.2.2-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ed0cace939114f62738d808fdcecd4c869222507e266e574799e9c0faa17d486"},
-    {file = "psutil-7.2.2-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:1a7b04c10f32cc88ab39cbf606e117fd74721c831c98a27dc04578deb0c16979"},
-    {file = "psutil-7.2.2-cp36-abi3-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:076a2d2f923fd4821644f5ba89f059523da90dc9014e85f8e45a5774ca5bc6f9"},
-    {file = "psutil-7.2.2-cp36-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b0726cecd84f9474419d67252add4ac0cd9811b04d61123054b9fb6f57df6e9e"},
-    {file = "psutil-7.2.2-cp36-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:fd04ef36b4a6d599bbdb225dd1d3f51e00105f6d48a28f006da7f9822f2606d8"},
-    {file = "psutil-7.2.2-cp36-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b58fabe35e80b264a4e3bb23e6b96f9e45a3df7fb7eed419ac0e5947c61e47cc"},
-    {file = "psutil-7.2.2-cp37-abi3-win_amd64.whl", hash = "sha256:eb7e81434c8d223ec4a219b5fc1c47d0417b12be7ea866e24fb5ad6e84b3d988"},
-    {file = "psutil-7.2.2-cp37-abi3-win_arm64.whl", hash = "sha256:8c233660f575a5a89e6d4cb65d9f938126312bca76d8fe087b947b3a1aaac9ee"},
-    {file = "psutil-7.2.2.tar.gz", hash = "sha256:0746f5f8d406af344fd547f1c8daa5f5c33dbc293bb8d6a16d80b4bb88f59372"},
-]
-
-[package.extras]
-dev = ["abi3audit", "black", "check-manifest", "colorama ; os_name == \"nt\"", "coverage", "packaging", "psleak", "pylint", "pyperf", "pypinfo", "pyreadline3 ; os_name == \"nt\"", "pytest", "pytest-cov", "pytest-instafail", "pytest-xdist", "pywin32 ; os_name == \"nt\" and implementation_name != \"pypy\"", "requests", "rstcheck", "ruff", "setuptools", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "validate-pyproject[all]", "virtualenv", "vulture", "wheel", "wheel ; os_name == \"nt\" and implementation_name != \"pypy\"", "wmi ; os_name == \"nt\" and implementation_name != \"pypy\""]
-test = ["psleak", "pytest", "pytest-instafail", "pytest-xdist", "pywin32 ; os_name == \"nt\" and implementation_name != \"pypy\"", "setuptools", "wheel ; os_name == \"nt\" and implementation_name != \"pypy\"", "wmi ; os_name == \"nt\" and implementation_name != \"pypy\""]
-
-[[package]]
-name = "ptyprocess"
-version = "0.7.0"
-description = "Run a subprocess in a pseudo terminal"
-optional = false
-python-versions = "*"
-groups = ["dev"]
-markers = "os_name != \"nt\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
-files = [
-    {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
-    {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
-]
-
-[[package]]
-name = "pure-eval"
-version = "0.2.3"
-description = "Safely evaluate AST nodes without side effects"
-optional = false
-python-versions = "*"
-groups = ["dev"]
-files = [
-    {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"},
-    {file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"},
-]
-
-[package.extras]
-tests = ["pytest"]
-
-[[package]]
-name = "pyarrow"
-version = "23.0.0"
-description = "Python library for Apache Arrow"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-files = [
-    {file = "pyarrow-23.0.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:cbdc2bf5947aa4d462adcf8453cf04aee2f7932653cb67a27acd96e5e8528a67"},
-    {file = "pyarrow-23.0.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:4d38c836930ce15cd31dce20114b21ba082da231c884bdc0a7b53e1477fe7f07"},
-    {file = "pyarrow-23.0.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:4222ff8f76919ecf6c716175a0e5fddb5599faeed4c56d9ea41a2c42be4998b2"},
-    {file = "pyarrow-23.0.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:87f06159cbe38125852657716889296c83c37b4d09a5e58f3d10245fd1f69795"},
-    {file = "pyarrow-23.0.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:1675c374570d8b91ea6d4edd4608fa55951acd44e0c31bd146e091b4005de24f"},
-    {file = "pyarrow-23.0.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:247374428fde4f668f138b04031a7e7077ba5fa0b5b1722fdf89a017bf0b7ee0"},
-    {file = "pyarrow-23.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:de53b1bd3b88a2ee93c9af412c903e57e738c083be4f6392288294513cd8b2c1"},
-    {file = "pyarrow-23.0.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:5574d541923efcbfdf1294a2746ae3b8c2498a2dc6cd477882f6f4e7b1ac08d3"},
-    {file = "pyarrow-23.0.0-cp311-cp311-macosx_12_0_x86_64.whl", hash = "sha256:2ef0075c2488932e9d3c2eb3482f9459c4be629aa673b725d5e3cf18f777f8e4"},
-    {file = "pyarrow-23.0.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:65666fc269669af1ef1c14478c52222a2aa5c907f28b68fb50a203c777e4f60c"},
-    {file = "pyarrow-23.0.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:4d85cb6177198f3812db4788e394b757223f60d9a9f5ad6634b3e32be1525803"},
-    {file = "pyarrow-23.0.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1a9ff6fa4141c24a03a1a434c63c8fa97ce70f8f36bccabc18ebba905ddf0f17"},
-    {file = "pyarrow-23.0.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:84839d060a54ae734eb60a756aeacb62885244aaa282f3c968f5972ecc7b1ecc"},
-    {file = "pyarrow-23.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:a149a647dbfe928ce8830a713612aa0b16e22c64feac9d1761529778e4d4eaa5"},
-    {file = "pyarrow-23.0.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:5961a9f646c232697c24f54d3419e69b4261ba8a8b66b0ac54a1851faffcbab8"},
-    {file = "pyarrow-23.0.0-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:632b3e7c3d232f41d64e1a4a043fb82d44f8a349f339a1188c6a0dd9d2d47d8a"},
-    {file = "pyarrow-23.0.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:76242c846db1411f1d6c2cc3823be6b86b40567ee24493344f8226ba34a81333"},
-    {file = "pyarrow-23.0.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:b73519f8b52ae28127000986bf228fda781e81d3095cd2d3ece76eb5cf760e1b"},
-    {file = "pyarrow-23.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:068701f6823449b1b6469120f399a1239766b117d211c5d2519d4ed5861f75de"},
-    {file = "pyarrow-23.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:1801ba947015d10e23bca9dd6ef5d0e9064a81569a89b6e9a63b59224fd060df"},
-    {file = "pyarrow-23.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:52265266201ec25b6839bf6bd4ea918ca6d50f31d13e1cf200b4261cd11dc25c"},
-    {file = "pyarrow-23.0.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:ad96a597547af7827342ffb3c503c8316e5043bb09b47a84885ce39394c96e00"},
-    {file = "pyarrow-23.0.0-cp313-cp313-macosx_12_0_x86_64.whl", hash = "sha256:b9edf990df77c2901e79608f08c13fbde60202334a4fcadb15c1f57bf7afee43"},
-    {file = "pyarrow-23.0.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:36d1b5bc6ddcaff0083ceec7e2561ed61a51f49cce8be079ee8ed406acb6fdef"},
-    {file = "pyarrow-23.0.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:4292b889cd224f403304ddda8b63a36e60f92911f89927ec8d98021845ea21be"},
-    {file = "pyarrow-23.0.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:dfd9e133e60eaa847fd80530a1b89a052f09f695d0b9c34c235ea6b2e0924cf7"},
-    {file = "pyarrow-23.0.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:832141cc09fac6aab1cd3719951d23301396968de87080c57c9a7634e0ecd068"},
-    {file = "pyarrow-23.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:7a7d067c9a88faca655c71bcc30ee2782038d59c802d57950826a07f60d83c4c"},
-    {file = "pyarrow-23.0.0-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:ce9486e0535a843cf85d990e2ec5820a47918235183a5c7b8b97ed7e92c2d47d"},
-    {file = "pyarrow-23.0.0-cp313-cp313t-macosx_12_0_x86_64.whl", hash = "sha256:075c29aeaa685fd1182992a9ed2499c66f084ee54eea47da3eb76e125e06064c"},
-    {file = "pyarrow-23.0.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:799965a5379589510d888be3094c2296efd186a17ca1cef5b77703d4d5121f53"},
-    {file = "pyarrow-23.0.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:ef7cac8fe6fccd8b9e7617bfac785b0371a7fe26af59463074e4882747145d40"},
-    {file = "pyarrow-23.0.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:15a414f710dc927132dd67c361f78c194447479555af57317066ee5116b90e9e"},
-    {file = "pyarrow-23.0.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:3e0d2e6915eca7d786be6a77bf227fbc06d825a75b5b5fe9bcbef121dec32685"},
-    {file = "pyarrow-23.0.0-cp313-cp313t-win_amd64.whl", hash = "sha256:4b317ea6e800b5704e5e5929acb6e2dc13e9276b708ea97a39eb8b345aa2658b"},
-    {file = "pyarrow-23.0.0-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:20b187ed9550d233a872074159f765f52f9d92973191cd4b93f293a19efbe377"},
-    {file = "pyarrow-23.0.0-cp314-cp314-macosx_12_0_x86_64.whl", hash = "sha256:18ec84e839b493c3886b9b5e06861962ab4adfaeb79b81c76afbd8d84c7d5fda"},
-    {file = "pyarrow-23.0.0-cp314-cp314-manylinux_2_28_aarch64.whl", hash = "sha256:e438dd3f33894e34fd02b26bd12a32d30d006f5852315f611aa4add6c7fab4bc"},
-    {file = "pyarrow-23.0.0-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:a244279f240c81f135631be91146d7fa0e9e840e1dfed2aba8483eba25cd98e6"},
-    {file = "pyarrow-23.0.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c4692e83e42438dba512a570c6eaa42be2f8b6c0f492aea27dec54bdc495103a"},
-    {file = "pyarrow-23.0.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:ae7f30f898dfe44ea69654a35c93e8da4cef6606dc4c72394068fd95f8e9f54a"},
-    {file = "pyarrow-23.0.0-cp314-cp314-win_amd64.whl", hash = "sha256:5b86bb649e4112fb0614294b7d0a175c7513738876b89655605ebb87c804f861"},
-    {file = "pyarrow-23.0.0-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:ebc017d765d71d80a3f8584ca0566b53e40464586585ac64176115baa0ada7d3"},
-    {file = "pyarrow-23.0.0-cp314-cp314t-macosx_12_0_x86_64.whl", hash = "sha256:0800cc58a6d17d159df823f87ad66cefebf105b982493d4bad03ee7fab84b993"},
-    {file = "pyarrow-23.0.0-cp314-cp314t-manylinux_2_28_aarch64.whl", hash = "sha256:3a7c68c722da9bb5b0f8c10e3eae71d9825a4b429b40b32709df5d1fa55beb3d"},
-    {file = "pyarrow-23.0.0-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:bd5556c24622df90551063ea41f559b714aa63ca953db884cfb958559087a14e"},
-    {file = "pyarrow-23.0.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:54810f6e6afc4ffee7c2e0051b61722fbea9a4961b46192dcfae8ea12fa09059"},
-    {file = "pyarrow-23.0.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:14de7d48052cf4b0ed174533eafa3cfe0711b8076ad70bede32cf59f744f0d7c"},
-    {file = "pyarrow-23.0.0-cp314-cp314t-win_amd64.whl", hash = "sha256:427deac1f535830a744a4f04a6ac183a64fcac4341b3f618e693c41b7b98d2b0"},
-    {file = "pyarrow-23.0.0.tar.gz", hash = "sha256:180e3150e7edfcd182d3d9afba72f7cf19839a497cc76555a8dce998a8f67615"},
-]
-
-[[package]]
-name = "pycparser"
-version = "3.0"
-description = "C parser in Python"
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-markers = "implementation_name != \"PyPy\" or implementation_name == \"pypy\" and python_version >= \"3.12\""
-files = [
-    {file = "pycparser-3.0-py3-none-any.whl", hash = "sha256:b727414169a36b7d524c1c3e31839a521725078d7b2ff038656844266160a992"},
-    {file = "pycparser-3.0.tar.gz", hash = "sha256:600f49d217304a5902ac3c37e1281c9fe94e4d0489de643a9504c5cdfdfc6b29"},
-]
-
-[[package]]
-name = "pygments"
-version = "2.19.2"
-description = "Pygments is a syntax highlighting package written in Python."
-optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev"]
-files = [
-    {file = "pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b"},
-    {file = "pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887"},
-]
-
-[package.extras]
-windows-terminal = ["colorama (>=0.4.6)"]
-
-[[package]]
-name = "pylint"
-version = "4.0.4"
-description = "python code static checker"
-optional = false
-python-versions = ">=3.10.0"
-groups = ["dev"]
-files = [
-    {file = "pylint-4.0.4-py3-none-any.whl", hash = "sha256:63e06a37d5922555ee2c20963eb42559918c20bd2b21244e4ef426e7c43b92e0"},
-    {file = "pylint-4.0.4.tar.gz", hash = "sha256:d9b71674e19b1c36d79265b5887bf8e55278cbe236c9e95d22dc82cf044fdbd2"},
-]
-
-[package.dependencies]
-astroid = ">=4.0.2,<=4.1.dev0"
-colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
-dill = [
-    {version = ">=0.2", markers = "python_version < \"3.11\""},
-    {version = ">=0.3.7", markers = "python_version >= \"3.12\""},
-    {version = ">=0.3.6", markers = "python_version == \"3.11\""},
-]
-isort = ">=5,<5.13 || >5.13,<8"
-mccabe = ">=0.6,<0.8"
-platformdirs = ">=2.2"
-tomli = {version = ">=1.1", markers = "python_version < \"3.11\""}
-tomlkit = ">=0.10.1"
-
-[package.extras]
-spelling = ["pyenchant (>=3.2,<4.0)"]
-testutils = ["gitpython (>3)"]
-
-[[package]]
-name = "pymatreader"
-version = "1.1.0"
-description = "Convenient reader for Matlab mat files"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "pymatreader-1.1.0-py3-none-any.whl", hash = "sha256:0daac669d2eeef3c89d7c9d810e6d8fb1362d7cbf67d1e32aaba2528eb89d205"},
-    {file = "pymatreader-1.1.0.tar.gz", hash = "sha256:d9fee72a8436557273a9ad669de3ed5582782467e2289a131396f575862638ff"},
-]
-
-[package.dependencies]
-h5py = "*"
-numpy = "*"
-scipy = ">=1.13.1"
-xmltodict = "*"
-
-[[package]]
-name = "pymdown-extensions"
-version = "10.20.1"
-description = "Extension pack for Python Markdown."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "pymdown_extensions-10.20.1-py3-none-any.whl", hash = "sha256:24af7feacbca56504b313b7b418c4f5e1317bb5fea60f03d57be7fcc40912aa0"},
-    {file = "pymdown_extensions-10.20.1.tar.gz", hash = "sha256:e7e39c865727338d434b55f1dd8da51febcffcaebd6e1a0b9c836243f660740a"},
-]
-
-[package.dependencies]
-markdown = ">=3.6"
-pyyaml = "*"
-
-[package.extras]
-extra = ["pygments (>=2.19.1)"]
-
-[[package]]
-name = "pyparsing"
-version = "3.3.2"
-description = "pyparsing - Classes and methods to define and execute parsing grammars"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "pyparsing-3.3.2-py3-none-any.whl", hash = "sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d"},
-    {file = "pyparsing-3.3.2.tar.gz", hash = "sha256:c777f4d763f140633dcb6d8a3eda953bf7a214dc4eff598413c070bcdc117cbc"},
-]
-
-[package.extras]
-diagrams = ["jinja2", "railroad-diagrams"]
-
-[[package]]
-name = "pyqt6"
-version = "6.10.2"
-description = "Python bindings for the Qt cross platform application toolkit"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "pyqt6-6.10.2-cp39-abi3-macosx_10_14_universal2.whl", hash = "sha256:37ae7c1183fe4dd0c6aefd2006a35731245de1cb6f817bb9e414a3e4848dfd6d"},
-    {file = "pyqt6-6.10.2-cp39-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:78e1b3d5763e4cbc84485aef600e0aba5e1932fd263b716f92cd1a40dfa5e924"},
-    {file = "pyqt6-6.10.2-cp39-abi3-manylinux_2_39_aarch64.whl", hash = "sha256:bbc3af541bbecd27301bfe69fe445aa1611a9b490bd3de77306b12df632f7ec6"},
-    {file = "pyqt6-6.10.2-cp39-abi3-win_amd64.whl", hash = "sha256:bd328cb70bc382c48861cd5f0a11b2b8ae6f5692d5a2d6679ba52785dced327b"},
-    {file = "pyqt6-6.10.2-cp39-abi3-win_arm64.whl", hash = "sha256:7901ba1df024b7ee9fdacfb2b7661aeb3749ae8b0bef65428077de3e0450eabb"},
-    {file = "pyqt6-6.10.2.tar.gz", hash = "sha256:6c0db5d8cbb9a3e7e2b5b51d0ff3f283121fa27b864db6d2f35b663c9be5cc83"},
-]
-
-[package.dependencies]
-PyQt6-Qt6 = ">=6.10.0,<6.11.0"
-PyQt6-sip = ">=13.8,<14"
-
-[[package]]
-name = "pyqt6-qt6"
-version = "6.10.2"
-description = "The subset of a Qt installation needed by PyQt6."
-optional = false
-python-versions = "*"
-groups = ["dev"]
-files = [
-    {file = "pyqt6_qt6-6.10.2-py3-none-macosx_10_14_x86_64.whl", hash = "sha256:5761cfccc721da2311c3f1213577f0ff1df07bbbbe3fa3a209a256b82cf057e3"},
-    {file = "pyqt6_qt6-6.10.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:6dda853a8db1b8d1a2ddbbe76cc6c3aa86614cad14056bd3c0435d8feea73b2d"},
-    {file = "pyqt6_qt6-6.10.2-py3-none-manylinux_2_34_x86_64.whl", hash = "sha256:19c10b5f0806e9f9bac2c9759bd5d7d19a78967f330fd60a2db409177fa76e49"},
-    {file = "pyqt6_qt6-6.10.2-py3-none-manylinux_2_39_aarch64.whl", hash = "sha256:2e60d616861ca4565cd295418d605975aa2dc407ba4b94c1586a70c92e9cb052"},
-    {file = "pyqt6_qt6-6.10.2-py3-none-win_amd64.whl", hash = "sha256:c4b7f7d66cc58bddf1bc1ca28dfcf7a45f58cfcb11d81d13a0510409dd4957ac"},
-    {file = "pyqt6_qt6-6.10.2-py3-none-win_arm64.whl", hash = "sha256:7164a6f0c1335358a3026df9865c8f75395b01f60f0dcd2f66c029ec16fc83d2"},
-]
-
-[[package]]
-name = "pyqt6-sip"
-version = "13.11.0"
-description = "The sip module support for PyQt6"
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-files = [
-    {file = "pyqt6_sip-13.11.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:90b597feae3c374eb1af7bfc515836aa39829ff3a1dffa5fe92ba139d273946a"},
-    {file = "pyqt6_sip-13.11.0-cp310-cp310-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:261f8f7063c862863f05629219be08be9bddd01d1a83181f8439d19852ae1571"},
-    {file = "pyqt6_sip-13.11.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b8532a5612762a5c1859e4b38359f847e07596ec210942221e22b10df5327fcc"},
-    {file = "pyqt6_sip-13.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:87edd15791c7d20fa3ffc68e6f4825f989a6510c11019eb5a11c1622b8802f8d"},
-    {file = "pyqt6_sip-13.11.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6e329ccc3a6502e2b774ef62ab843ac8b3f32191324e8230e6dde78c1c0df5a8"},
-    {file = "pyqt6_sip-13.11.0-cp311-cp311-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:364424dacdee9e0a2a723646b5608139629ad9bde318dd755d86f5e0ba123c79"},
-    {file = "pyqt6_sip-13.11.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:132ee69d935c14bb4ced2a811ef333200c7aa50324bd7caadefd7d5874495225"},
-    {file = "pyqt6_sip-13.11.0-cp311-cp311-win_amd64.whl", hash = "sha256:341e52e702d41872515794dea6265ee56b8625c9d3c74ea0468124f0bd675f8b"},
-    {file = "pyqt6_sip-13.11.0-cp311-cp311-win_arm64.whl", hash = "sha256:489fdd0910f8c1d5d40255b4cd7b45f4a4549f9a599512bc6b2cc8d384e28852"},
-    {file = "pyqt6_sip-13.11.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:6b3267cd93b7f4da6fdf9a6a26f3baed8faae06e5cdd76235f2acc2116c40a54"},
-    {file = "pyqt6_sip-13.11.0-cp312-cp312-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:c30248d9bbe54c46a78e5d549da50295ecd6584b965597f751e272f000fb8527"},
-    {file = "pyqt6_sip-13.11.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c367b53a91e575ef66c1375f899713bdaf0a8b2c64b95ac226e9644854a4984"},
-    {file = "pyqt6_sip-13.11.0-cp312-cp312-win_amd64.whl", hash = "sha256:077958105c2ea2f62be2f1a7611ff8bd44cb52fb5ea8fc8c59ea949144acb7b5"},
-    {file = "pyqt6_sip-13.11.0-cp312-cp312-win_arm64.whl", hash = "sha256:52812471619d3d3750b940d7d124cd0954107656924921ac177e098ba36362fb"},
-    {file = "pyqt6_sip-13.11.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:929716eebde1a64ffdb6b1715db6a22aefd5634d6df84858c7deb5e85be84fdf"},
-    {file = "pyqt6_sip-13.11.0-cp313-cp313-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:a75144e8a0bcf9d1a9069011890401748af353749f1de1b6a314b880781edf9d"},
-    {file = "pyqt6_sip-13.11.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8082b5f57ffad5dddf5efcf0ef5eaf94841395aa4e7c374c79ef24cf49b0f0ce"},
-    {file = "pyqt6_sip-13.11.0-cp313-cp313-win_amd64.whl", hash = "sha256:8d49b5bf3d8d36cd7db93ddc54cd09dbba96a3fd926e445ef75499b41e47b5a3"},
-    {file = "pyqt6_sip-13.11.0-cp313-cp313-win_arm64.whl", hash = "sha256:293eac1b53c66c54b03266cc30015ec77454af679043a4f188b9bb80a9656996"},
-    {file = "pyqt6_sip-13.11.0-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:4dc9c4df24af0571423c3e85b5c008bad42ed48558eef80fbc3e5d30274c5abb"},
-    {file = "pyqt6_sip-13.11.0-cp314-cp314-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:c974d5a193f32e55e746e9b63138503163ac63500dbb1fd67233d8a8d71369bd"},
-    {file = "pyqt6_sip-13.11.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4284540ffccd8349763ddce3518264dde62f20556720d4061b9c895e09011ca0"},
-    {file = "pyqt6_sip-13.11.0-cp314-cp314-win_amd64.whl", hash = "sha256:9bd81cb351640abc803ea2fe7262b5adea28615c9b96fd103d1b6f3459937211"},
-    {file = "pyqt6_sip-13.11.0-cp314-cp314-win_arm64.whl", hash = "sha256:cd95ec98f8edb15bcea832b8657809f69d758bc4151cc6fd7790c0181949e45f"},
-    {file = "pyqt6_sip-13.11.0.tar.gz", hash = "sha256:d463af37738bda1856c9ef513e5620a37b7a005e9d589c986c3304db4a8a14d3"},
-]
-
-[[package]]
-name = "pytest"
-version = "9.0.2"
-description = "pytest: simple powerful testing with Python"
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-files = [
-    {file = "pytest-9.0.2-py3-none-any.whl", hash = "sha256:711ffd45bf766d5264d487b917733b453d917afd2b0ad65223959f59089f875b"},
-    {file = "pytest-9.0.2.tar.gz", hash = "sha256:75186651a92bd89611d1d9fc20f0b4345fd827c41ccd5c299a868a05d70edf11"},
-]
-
-[package.dependencies]
-colorama = {version = ">=0.4", markers = "sys_platform == \"win32\""}
-exceptiongroup = {version = ">=1", markers = "python_version < \"3.11\""}
-iniconfig = ">=1.0.1"
-packaging = ">=22"
-pluggy = ">=1.5,<2"
-pygments = ">=2.7.2"
-tomli = {version = ">=1", markers = "python_version < \"3.11\""}
-
-[package.extras]
-dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "requests", "setuptools", "xmlschema"]
-
-[[package]]
-name = "pytest-mock"
-version = "3.15.1"
-description = "Thin-wrapper around the mock package for easier use with pytest"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "pytest_mock-3.15.1-py3-none-any.whl", hash = "sha256:0a25e2eb88fe5168d535041d09a4529a188176ae608a6d249ee65abc0949630d"},
-    {file = "pytest_mock-3.15.1.tar.gz", hash = "sha256:1849a238f6f396da19762269de72cb1814ab44416fa73a8686deac10b0d87a0f"},
-]
-
-[package.dependencies]
-pytest = ">=6.2.5"
-
-[package.extras]
-dev = ["pre-commit", "pytest-asyncio", "tox"]
-
-[[package]]
-name = "pytest-watch"
-version = "4.2.0"
-description = "Local continuous test runner with pytest and watchdog."
-optional = false
-python-versions = "*"
-groups = ["dev"]
-files = [
-    {file = "pytest-watch-4.2.0.tar.gz", hash = "sha256:06136f03d5b361718b8d0d234042f7b2f203910d8568f63df2f866b547b3d4b9"},
-]
-
-[package.dependencies]
-colorama = ">=0.3.3"
-docopt = ">=0.4.0"
-pytest = ">=2.6.4"
-watchdog = ">=0.6.0"
-
-[[package]]
-name = "python-dateutil"
-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", "dev"]
-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"},
-]
-
-[package.dependencies]
-six = ">=1.5"
-
-[[package]]
-name = "python-json-logger"
-version = "4.0.0"
-description = "JSON Log Formatter for the Python Logging Package"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "python_json_logger-4.0.0-py3-none-any.whl", hash = "sha256:af09c9daf6a813aa4cc7180395f50f2a9e5fa056034c9953aec92e381c5ba1e2"},
-    {file = "python_json_logger-4.0.0.tar.gz", hash = "sha256:f58e68eb46e1faed27e0f574a55a0455eecd7b8a5b88b85a784519ba3cff047f"},
-]
-
-[package.extras]
-dev = ["backports.zoneinfo ; python_version < \"3.9\"", "black", "build", "freezegun", "mdx_truly_sane_lists", "mike", "mkdocs", "mkdocs-awesome-pages-plugin", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-material (>=8.5)", "mkdocstrings[python]", "msgspec ; implementation_name != \"pypy\"", "mypy", "orjson ; implementation_name != \"pypy\"", "pylint", "pytest", "tzdata", "validate-pyproject[all]"]
-
-[[package]]
-name = "python-multipart"
-version = "0.0.22"
-description = "A streaming multipart parser for Python"
-optional = false
-python-versions = ">=3.10"
-groups = ["shiny"]
-markers = "platform_system != \"Emscripten\""
-files = [
-    {file = "python_multipart-0.0.22-py3-none-any.whl", hash = "sha256:2b2cd894c83d21bf49d702499531c7bafd057d730c201782048f7945d82de155"},
-    {file = "python_multipart-0.0.22.tar.gz", hash = "sha256:7340bef99a7e0032613f56dc36027b959fd3b30a787ed62d310e951f7c3a3a58"},
-]
-
-[[package]]
-name = "pytkdocs"
-version = "0.16.5"
-description = "Load Python objects documentation."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "pytkdocs-0.16.5-py3-none-any.whl", hash = "sha256:7feb2535a8582d891fa5353cf2f4ecc7840915e631d322dbcbc1c8cc605da23a"},
-    {file = "pytkdocs-0.16.5.tar.gz", hash = "sha256:103cdb3f0298c392bc340ae9aa7cd8685b163ae2aec65660dd0018978ddf4fa7"},
-]
-
-[package.extras]
-numpy-style = ["docstring_parser (>=0.7)"]
-
-[[package]]
-name = "pytokens"
-version = "0.4.0"
-description = "A Fast, spec compliant Python 3.14+ tokenizer that runs on older Pythons."
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "pytokens-0.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:af0c3166aea367a9e755a283171befb92dd3043858b94ae9b3b7efbe9def26a3"},
-    {file = "pytokens-0.4.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:daae524ed14ca459932cbf51d74325bea643701ba8a8b0cc2d10f7cd4b3e2b63"},
-    {file = "pytokens-0.4.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e95cb158c44d642ed62f555bf8136bbe780dbd64d2fb0b9169e11ffb944664c3"},
-    {file = "pytokens-0.4.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:df58d44630eaf25f587540e94bdf1fc50b4e6d5f212c786de0fb024bfcb8753a"},
-    {file = "pytokens-0.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:55efcc36f9a2e0e930cfba0ce7f83445306b02f8326745585ed5551864eba73a"},
-    {file = "pytokens-0.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:92eb3ef88f27c22dc9dbab966ace4d61f6826e02ba04dac8e2d65ea31df56c8e"},
-    {file = "pytokens-0.4.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f4b77858a680635ee9904306f54b0ee4781effb89e211ba0a773d76539537165"},
-    {file = "pytokens-0.4.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:25cacc20c2ad90acb56f3739d87905473c54ca1fa5967ffcd675463fe965865e"},
-    {file = "pytokens-0.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:628fab535ebc9079e4db35cd63cb401901c7ce8720a9834f9ad44b9eb4e0f1d4"},
-    {file = "pytokens-0.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:4d0f568d7e82b7e96be56d03b5081de40e43c904eb6492bf09aaca47cd55f35b"},
-    {file = "pytokens-0.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:cd8da894e5a29ba6b6da8be06a4f7589d7220c099b5e363cb0643234b9b38c2a"},
-    {file = "pytokens-0.4.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:237ba7cfb677dbd3b01b09860810aceb448871150566b93cd24501d5734a04b1"},
-    {file = "pytokens-0.4.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:01d1a61e36812e4e971cfe2c0e4c1f2d66d8311031dac8bf168af8a249fa04dd"},
-    {file = "pytokens-0.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e47e2ef3ec6ee86909e520d79f965f9b23389fda47460303cf715d510a6fe544"},
-    {file = "pytokens-0.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:3d36954aba4557fd5a418a03cf595ecbb1cdcce119f91a49b19ef09d691a22ae"},
-    {file = "pytokens-0.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:73eff3bdd8ad08da679867992782568db0529b887bed4c85694f84cdf35eafc6"},
-    {file = "pytokens-0.4.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d97cc1f91b1a8e8ebccf31c367f28225699bea26592df27141deade771ed0afb"},
-    {file = "pytokens-0.4.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a2c8952c537cb73a1a74369501a83b7f9d208c3cf92c41dd88a17814e68d48ce"},
-    {file = "pytokens-0.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5dbf56f3c748aed9310b310d5b8b14e2c96d3ad682ad5a943f381bdbbdddf753"},
-    {file = "pytokens-0.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:e131804513597f2dff2b18f9911d9b6276e21ef3699abeffc1c087c65a3d975e"},
-    {file = "pytokens-0.4.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:0d7374c917197106d3c4761374718bc55ea2e9ac0fb94171588ef5840ee1f016"},
-    {file = "pytokens-0.4.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0cd3fa1caf9e47a72ee134a29ca6b5bea84712724bba165d6628baa190c6ea5b"},
-    {file = "pytokens-0.4.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9c6986576b7b07fe9791854caa5347923005a80b079d45b63b0be70d50cce5f1"},
-    {file = "pytokens-0.4.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:9940f7c2e2f54fb1cb5fe17d0803c54da7a2bf62222704eb4217433664a186a7"},
-    {file = "pytokens-0.4.0-cp314-cp314-win_amd64.whl", hash = "sha256:54691cf8f299e7efabcc25adb4ce715d3cef1491e1c930eaf555182f898ef66a"},
-    {file = "pytokens-0.4.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:94ff5db97a0d3cd7248a5b07ba2167bd3edc1db92f76c6db00137bbaf068ddf8"},
-    {file = "pytokens-0.4.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d0dd6261cd9cc95fae1227b1b6ebee023a5fd4a4b6330b071c73a516f5f59b63"},
-    {file = "pytokens-0.4.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0cdca8159df407dbd669145af4171a0d967006e0be25f3b520896bc7068f02c4"},
-    {file = "pytokens-0.4.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:4b5770abeb2a24347380a1164a558f0ebe06e98aedbd54c45f7929527a5fb26e"},
-    {file = "pytokens-0.4.0-cp314-cp314t-win_amd64.whl", hash = "sha256:74500d72c561dad14c037a9e86a657afd63e277dd5a3bb7570932ab7a3b12551"},
-    {file = "pytokens-0.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e368e0749e4e9d86a6e08763310dc92bc69ad73d9b6db5243b30174c71a8a534"},
-    {file = "pytokens-0.4.0-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:865cc65c75c8f2e9e0d8330338f649b12bfd9442561900ebaf58c596a72107d2"},
-    {file = "pytokens-0.4.0-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:dbb9338663b3538f31c4ca7afe4f38d9b9b3a16a8be18a273a5704a1bc7a2367"},
-    {file = "pytokens-0.4.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:658f870523ac1a5f4733d7db61ce9af61a0c23b2aeea3d03d1800c93f760e15f"},
-    {file = "pytokens-0.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:d69a2491190a74e4b6f87f3b9dfce7a6873de3f3bf330d20083d374380becac0"},
-    {file = "pytokens-0.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8cd795191c4127fcb3d7b76d84006a07748c390226f47657869235092eedbc05"},
-    {file = "pytokens-0.4.0-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ef2bcbddb73ac18599a86c8c549d5145130f2cd9d83dc2b5482fd8322b7806cd"},
-    {file = "pytokens-0.4.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:06ac081c1187389762b58823d90d6339e6880ce0df912f71fb9022d81d7fd429"},
-    {file = "pytokens-0.4.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:278129d54573efdc79e75c6082e73ebd19858e22a2e848359f93629323186ca6"},
-    {file = "pytokens-0.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:9380fb6d96fa5ab83ed606ebad27b6171930cc14a8a8d215f6adb187ba428690"},
-    {file = "pytokens-0.4.0-py3-none-any.whl", hash = "sha256:0508d11b4de157ee12063901603be87fb0253e8f4cb9305eb168b1202ab92068"},
-    {file = "pytokens-0.4.0.tar.gz", hash = "sha256:6b0b03e6ea7c9f9d47c5c61164b69ad30f4f0d70a5d9fe7eac4d19f24f77af2d"},
-]
-
-[package.extras]
-dev = ["black", "build", "mypy", "pytest", "pytest-cov", "setuptools", "tox", "twine", "wheel"]
-
-[[package]]
-name = "pytz"
-version = "2025.2"
-description = "World timezone definitions, modern and historical"
-optional = false
-python-versions = "*"
-groups = ["main"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"},
-    {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"},
-]
-
-[[package]]
-name = "pywavelets"
-version = "1.8.0"
-description = "PyWavelets, wavelet transform module"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "pywavelets-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f5c86fcb203c8e61d1f3d4afbfc08d626c64e4e3708207315577264c724632bf"},
-    {file = "pywavelets-1.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fafb5fa126277e1690c3d6329287122fc08e4d25a262ce126e3d81b1f5709308"},
-    {file = "pywavelets-1.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dec23dfe6d5a3f4312b12456b8c546aa90a11c1138e425a885987505f0658ae0"},
-    {file = "pywavelets-1.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:880a0197e9fa108939af50a95e97c1bf9b7d3e148e0fad92ea60a9ed8c8947c0"},
-    {file = "pywavelets-1.8.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8bfa833d08b60d0bf53a7939fbbf3d98015dd34efe89cbe4e53ced880d085fc1"},
-    {file = "pywavelets-1.8.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:e10c3fc7f4a796e94da4bca9871be2186a7bb7a3b3536a0ca9376d84263140f0"},
-    {file = "pywavelets-1.8.0-cp310-cp310-win32.whl", hash = "sha256:31baf4be6940fde72cc85663154360857ac1b93c251822deaf72bb804da95031"},
-    {file = "pywavelets-1.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:560c39f1ff8cb37f8b8ea4b7b6eb8a14f6926c11f5cf8c09f013a58f895ed5bc"},
-    {file = "pywavelets-1.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:e8dd5be4faed994581a8a4b3c0169be20567a9346e523f0b57f903c8f6722bce"},
-    {file = "pywavelets-1.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8d8abaf7c120b151ef309c9ff57e0a44ba9febf49045056dbc1577526ecec6c8"},
-    {file = "pywavelets-1.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4b43a4c58707b1e8d941bec7f1d83e67c482278575ff0db3189d5c0dfae23a57"},
-    {file = "pywavelets-1.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1c1aad0b97714e3079a2bfe48e4fb8ccd60778d0427e9ee5e0a9ff922e6c61e4"},
-    {file = "pywavelets-1.8.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a0e1db96dcf3ce08156859df8b359e9ff66fa15061a1b90e70e020bf4cd077a0"},
-    {file = "pywavelets-1.8.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e62c8fb52ab0e8ff212fff9acae681a8f12d68b76c36fe24cc48809d5b6825ba"},
-    {file = "pywavelets-1.8.0-cp311-cp311-win32.whl", hash = "sha256:bf327528d10de471b04bb725c4e10677fac5a49e13d41bf0d0b3a1f6d7097abf"},
-    {file = "pywavelets-1.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:3814d354dd109e244ffaac3d480d29a5202212fe24570c920268237c8d276f95"},
-    {file = "pywavelets-1.8.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:3f431c9e2aff1a2240765eff5e804975d0fcc24c82d6f3d4271243f228e5963b"},
-    {file = "pywavelets-1.8.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e39b0e2314e928cb850ee89b9042733a10ea044176a495a54dc84d2c98407a51"},
-    {file = "pywavelets-1.8.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cae701117f5c7244b7c8d48b9e92a0289637cdc02a9c205e8be83361f0c11fae"},
-    {file = "pywavelets-1.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:649936baee933e80083788e0adc4d8bc2da7cdd8b10464d3b113475be2cc5308"},
-    {file = "pywavelets-1.8.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8c68e9d072c536bc646e8bdce443bb1826eeb9aa21b2cb2479a43954dea692a3"},
-    {file = "pywavelets-1.8.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:63f67fa2ee1610445de64f746fb9c1df31980ad13d896ea2331fc3755f49b3ae"},
-    {file = "pywavelets-1.8.0-cp312-cp312-win32.whl", hash = "sha256:4b3c2ab669c91e3474fd63294355487b7dd23f0b51d32f811327ddf3546f4f3d"},
-    {file = "pywavelets-1.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:810a23a631da596fef7196ddec49b345b1aab13525bb58547eeebe1769edbbc1"},
-    {file = "pywavelets-1.8.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:441ba45c8dff8c6916dbe706958d0d7f91da675695ca0c0d75e483f6f52d0a12"},
-    {file = "pywavelets-1.8.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:24bb282bab09349d9d128ed0536fa50fff5c2147891971a69c2c36155dfeeeac"},
-    {file = "pywavelets-1.8.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:426ff3799446cb4da1db04c2084e6e58edfe24225596805665fd39c14f53dece"},
-    {file = "pywavelets-1.8.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa0607a9c085b8285bc0d04e33d461a6c80f8c325389221ffb1a45141861138e"},
-    {file = "pywavelets-1.8.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:d31c36a39110e8fcc7b1a4a11cfed7d22b610c285d3e7f4fe73ec777aa49fa39"},
-    {file = "pywavelets-1.8.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:fa7c68ed1e5bab23b1bafe60ccbcf709b878652d03de59e961baefa5210fcd0a"},
-    {file = "pywavelets-1.8.0-cp313-cp313-win32.whl", hash = "sha256:2c6b359b55d713ef683e9da1529181b865a80d759881ceb9adc1c5742e4da4d8"},
-    {file = "pywavelets-1.8.0-cp313-cp313-win_amd64.whl", hash = "sha256:4dbebcfd55ea8a85b7fc8802d411e75337170422abf6e96019d7e46c394e80e5"},
-    {file = "pywavelets-1.8.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:2e1c79784bebeafd3715c1bea6621daa2e2e6ed37b687719322e2078fb35bb70"},
-    {file = "pywavelets-1.8.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f489380c95013cc8fb3ef338f6d8c1a907125db453cc4dc739e2cca06fcd8b6"},
-    {file = "pywavelets-1.8.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:06786201a91b5e74540f4f3c115c49a29190de2eb424823abbd3a1fd75ea3e28"},
-    {file = "pywavelets-1.8.0-cp313-cp313t-win32.whl", hash = "sha256:f2877fb7b58c94211257dcf364b204d6ed259146fc87d5a90bf9d93c97af6226"},
-    {file = "pywavelets-1.8.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ec5d723c3335ff8aa630fd4b14097077f12cc02893c91cafd60dd7b1730e780f"},
-    {file = "pywavelets-1.8.0.tar.gz", hash = "sha256:f3800245754840adc143cbc29534a1b8fc4b8cff6e9d403326bd52b7bb5c35aa"},
-]
-
-[package.dependencies]
-numpy = ">=1.23,<3"
-
-[package.extras]
-optional = ["scipy (>=1.9)"]
-
-[[package]]
-name = "pywavelets"
-version = "1.9.0"
-description = "PyWavelets, wavelet transform module"
-optional = false
-python-versions = ">=3.11"
-groups = ["main"]
-markers = "python_version >= \"3.11\""
-files = [
-    {file = "pywavelets-1.9.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:54662cce4d56f0d6beaa6ebd34b2960f3aa4a43c83c9098a24729e9dc20a4be2"},
-    {file = "pywavelets-1.9.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:0d8ed4b4d1eab9347e8fe0c5b45008ce5a67225ce5b05766b8b1fa923a5f8b34"},
-    {file = "pywavelets-1.9.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:862be65481fdfecfd84c6b0ca132ba571c12697a082068921bca5b5e039f1371"},
-    {file = "pywavelets-1.9.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d76b7fa8fc500b09201d689b4f15bf5887e30ffbe2e1f338eb8470590eb4521a"},
-    {file = "pywavelets-1.9.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:aa859d0b686a697c87a47e29319aebe44125f114a4f8c7e444832b921f52de5a"},
-    {file = "pywavelets-1.9.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:20e97b84a263003e2c7348bcf72beba96edda1a6169f072dc4e4d4ee3a6c7368"},
-    {file = "pywavelets-1.9.0-cp311-cp311-win32.whl", hash = "sha256:f8330cdbfa506000e63e79525716df888998a76414c5cd6ecd9a7e371191fb05"},
-    {file = "pywavelets-1.9.0-cp311-cp311-win_amd64.whl", hash = "sha256:ed10959a17df294ef55948dcc76367d59ec7b6aad67e38dd4e313d2fe3ad47b2"},
-    {file = "pywavelets-1.9.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:30baa0788317d3c938560c83fe4fc43817342d06e6c9662a440f73ba3fb25c9b"},
-    {file = "pywavelets-1.9.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:df7436a728339696a7aa955c020ae65c85b0d9d2b5ff5b4cf4551f5d4c50f2c7"},
-    {file = "pywavelets-1.9.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:07b26526db2476974581274c43a9c2447c917418c6bd03c8d305ad2a5cd9fac3"},
-    {file = "pywavelets-1.9.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:573b650805d2f3c981a0e5ae95191c781a722022c37a0f6eba3fa7eae8e0ee17"},
-    {file = "pywavelets-1.9.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:3747ec804492436de6e99a7b6130480e53406d047e87dc7095ab40078a515a23"},
-    {file = "pywavelets-1.9.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:5163665686219c3f43fd5bbfef2391e87146813961dad0f86c62d4aed561f547"},
-    {file = "pywavelets-1.9.0-cp312-cp312-win32.whl", hash = "sha256:80b8ab99f5326a3e724f71f23ba8b0a5b03e333fa79f66e965ea7bed21d42a2f"},
-    {file = "pywavelets-1.9.0-cp312-cp312-win_amd64.whl", hash = "sha256:92bfb8a117b8c8d3b72f2757a85395346fcbf37f50598880879ae72bd8e1c4b9"},
-    {file = "pywavelets-1.9.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:74f8455c143818e4b026fc67b27fd82f38e522701b94b8a6d1aaf3a45fcc1a25"},
-    {file = "pywavelets-1.9.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:c50320fe0a4a23ddd8835b3dc9b53b09ee05c7cc6c56b81d0916f04fc1649070"},
-    {file = "pywavelets-1.9.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d6e059265223ed659e5214ab52a84883c88ddf3decbf08d7ec6abb8e4c5ed7be"},
-    {file = "pywavelets-1.9.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ae10ed46c139c7ddb8b1249cfe0989f8ccb610d93f2899507b1b1573a0e424b5"},
-    {file = "pywavelets-1.9.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c8f8b1cc2df012401cb837ee6fa2f59607c7b4fe0ff409d9a4f6906daf40dc86"},
-    {file = "pywavelets-1.9.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:db43969c7a8fbb17693ecfd14f21616edc3b29f0e47a49b32fa4127c01312a67"},
-    {file = "pywavelets-1.9.0-cp313-cp313-win32.whl", hash = "sha256:9e7d60819d87dcd6c68a2d1bc1d37deb1f4d96607799ab6a25633ea484dcda41"},
-    {file = "pywavelets-1.9.0-cp313-cp313-win_amd64.whl", hash = "sha256:0d70da9d7858c869e24dc254f16a61dc09d8a224cad85a10c393b2eccddeb126"},
-    {file = "pywavelets-1.9.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:4dc85f44c38d76a184a1aa2cb038f802c3740428c9bb877525f4be83a223b134"},
-    {file = "pywavelets-1.9.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:7acf6f950c6deaecd210fbff44421f234a8ca81eb6f4da945228e498361afa9d"},
-    {file = "pywavelets-1.9.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:144d4fc15c98da56654d0dca2d391b812b8d04127b194a37ad4a497f8e887141"},
-    {file = "pywavelets-1.9.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1aa3729585408a979d655736f74b995b511c86b9be1544f95d4a3142f8f4b8b5"},
-    {file = "pywavelets-1.9.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:e0e24ad6b8eb399c49606dd1fcdcbf9749ad7f6d638be3fe6f59c1f3098821e2"},
-    {file = "pywavelets-1.9.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:3830e6657236b53a3aae20c735cccead942bb97c54bbca9e7d07bae01645fe9c"},
-    {file = "pywavelets-1.9.0-cp313-cp313t-win32.whl", hash = "sha256:81bb65facfbd7b50dec50450516e72cdc51376ecfdd46f2e945bb89d39bfb783"},
-    {file = "pywavelets-1.9.0-cp313-cp313t-win_amd64.whl", hash = "sha256:47d52cf35e2afded8cfe1133663f6f67106a3220b77645476ae660ad34922cb4"},
-    {file = "pywavelets-1.9.0-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:53043d2f3f4e55a576f51ac594fe33181e1d096d958e01524db5070eb3825306"},
-    {file = "pywavelets-1.9.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:56bc36b42b1b125fd9cb56e7956b22f8d0f83c1093f49c77fc042135e588c799"},
-    {file = "pywavelets-1.9.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:08076eb9a182ddc6054ac86868fb71df6267c341635036dc63d20bdbacd9ad7e"},
-    {file = "pywavelets-1.9.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4ee1ee7d80f88c64b8ec3b5021dd1e94545cc97f0cd479fb51aa7b10f6def08e"},
-    {file = "pywavelets-1.9.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:3226b6f62838a6ccd7782cb7449ee5d8b9d61999506c1d9b03b2baf41b01b6fd"},
-    {file = "pywavelets-1.9.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:9fb7f4b11d18e2db6dd8deee7b3ce8343d45f195f3f278c2af6e3724b1b93a24"},
-    {file = "pywavelets-1.9.0-cp314-cp314-win32.whl", hash = "sha256:9902d9fc9812588ab2dce359a1307d8e7f002b53a835640e2c9388fe62a82fd4"},
-    {file = "pywavelets-1.9.0-cp314-cp314-win_amd64.whl", hash = "sha256:7e57792bde40e331d6cc65458e5970fd814dba18cfc4e9add9d051e901a7b7c7"},
-    {file = "pywavelets-1.9.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:b47c72fb4b76d665c4c598a5b621b505944e5b761bf03df9d169029aafcb652f"},
-    {file = "pywavelets-1.9.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:969e369899e7eab546ea5d77074e4125082e6f9dad71966499bf5dee3758be55"},
-    {file = "pywavelets-1.9.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8aeffd4f35036c1fade972a61454de5709a7a8fc9a7d177eefe3ac34d76962e5"},
-    {file = "pywavelets-1.9.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f63f400fcd4e7007529bd06a5886009760da35cd7e76bb6adb5a5fbee4ffeb8c"},
-    {file = "pywavelets-1.9.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:a63bcb6b5759a7eb187aeb5e8cd316b7adab7de1f4b5a0446c9a6bcebdfc22fb"},
-    {file = "pywavelets-1.9.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:9950eb7c8b942e9bfa53d87c7e45a420dcddbd835c4c5f1aca045a3f775c6113"},
-    {file = "pywavelets-1.9.0-cp314-cp314t-win32.whl", hash = "sha256:097f157e07858a1eb370e0d9c1bd11185acdece5cca10756d6c3c7b35b52771a"},
-    {file = "pywavelets-1.9.0-cp314-cp314t-win_amd64.whl", hash = "sha256:3b6ff6ba4f625d8c955f68c2c39b0a913776d406ab31ee4057f34ad4019fb33b"},
-    {file = "pywavelets-1.9.0.tar.gz", hash = "sha256:148d12203377772bea452a59211d98649c8ee4a05eff019a9021853a36babdc8"},
-]
-
-[package.dependencies]
-numpy = ">=1.25,<3"
-
-[[package]]
-name = "pywinpty"
-version = "3.0.2"
-description = "Pseudo terminal support for Windows from Python."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-markers = "os_name == \"nt\""
-files = [
-    {file = "pywinpty-3.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:65db57fd3387d71e8372b6a54269cbcd0f6dfa6d4616a29e0af749ec19f5c558"},
-    {file = "pywinpty-3.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:327790d70e4c841ebd9d0f295a780177149aeb405bca44c7115a3de5c2054b23"},
-    {file = "pywinpty-3.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:99fdd9b455f0ad6419aba6731a7a0d2f88ced83c3c94a80ff9533d95fa8d8a9e"},
-    {file = "pywinpty-3.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:18f78b81e4cfee6aabe7ea8688441d30247b73e52cd9657138015c5f4ee13a51"},
-    {file = "pywinpty-3.0.2-cp313-cp313t-win_amd64.whl", hash = "sha256:663383ecfab7fc382cc97ea5c4f7f0bb32c2f889259855df6ea34e5df42d305b"},
-    {file = "pywinpty-3.0.2-cp314-cp314-win_amd64.whl", hash = "sha256:28297cecc37bee9f24d8889e47231972d6e9e84f7b668909de54f36ca785029a"},
-    {file = "pywinpty-3.0.2-cp314-cp314t-win_amd64.whl", hash = "sha256:34b55ae9a1b671fe3eae071d86618110538e8eaad18fcb1531c0830b91a82767"},
-    {file = "pywinpty-3.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:3962daf801bc38dd4de872108c424b5338c9a46c6efca5761854cd66370a9022"},
-    {file = "pywinpty-3.0.2.tar.gz", hash = "sha256:1505cc4cb248af42cb6285a65c9c2086ee9e7e574078ee60933d5d7fa86fb004"},
-]
-
-[[package]]
-name = "pyxdf"
-version = "1.17.3"
-description = "Python package for importing XDF (Extensible Data Format) files"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-files = [
-    {file = "pyxdf-1.17.3-py3-none-any.whl", hash = "sha256:c7c01d65e5b9144d544f886debc56b46f7807a014192b9f49bcbdb75b3f19a47"},
-    {file = "pyxdf-1.17.3.tar.gz", hash = "sha256:8294353f2989885177277e4a02e260dc9430a60b53b463bad8cdc179fb2c47ce"},
-]
-
-[package.dependencies]
-numpy = ">=2.0.2"
-
-[package.extras]
-playback = ["pylsl (>=1.17.6)"]
-
-[[package]]
-name = "pyyaml"
-version = "6.0.3"
-description = "YAML parser and emitter for Python"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "PyYAML-6.0.3-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:c2514fceb77bc5e7a2f7adfaa1feb2fb311607c9cb518dbc378688ec73d8292f"},
-    {file = "PyYAML-6.0.3-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c57bb8c96f6d1808c030b1687b9b5fb476abaa47f0db9c0101f5e9f394e97f4"},
-    {file = "PyYAML-6.0.3-cp38-cp38-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:efd7b85f94a6f21e4932043973a7ba2613b059c4a000551892ac9f1d11f5baf3"},
-    {file = "PyYAML-6.0.3-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:22ba7cfcad58ef3ecddc7ed1db3409af68d023b7f940da23c6c2a1890976eda6"},
-    {file = "PyYAML-6.0.3-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:6344df0d5755a2c9a276d4473ae6b90647e216ab4757f8426893b5dd2ac3f369"},
-    {file = "PyYAML-6.0.3-cp38-cp38-win32.whl", hash = "sha256:3ff07ec89bae51176c0549bc4c63aa6202991da2d9a6129d7aef7f1407d3f295"},
-    {file = "PyYAML-6.0.3-cp38-cp38-win_amd64.whl", hash = "sha256:5cf4e27da7e3fbed4d6c3d8e797387aaad68102272f8f9752883bc32d61cb87b"},
-    {file = "pyyaml-6.0.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:214ed4befebe12df36bcc8bc2b64b396ca31be9304b8f59e25c11cf94a4c033b"},
-    {file = "pyyaml-6.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:02ea2dfa234451bbb8772601d7b8e426c2bfa197136796224e50e35a78777956"},
-    {file = "pyyaml-6.0.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b30236e45cf30d2b8e7b3e85881719e98507abed1011bf463a8fa23e9c3e98a8"},
-    {file = "pyyaml-6.0.3-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:66291b10affd76d76f54fad28e22e51719ef9ba22b29e1d7d03d6777a9174198"},
-    {file = "pyyaml-6.0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9c7708761fccb9397fe64bbc0395abcae8c4bf7b0eac081e12b809bf47700d0b"},
-    {file = "pyyaml-6.0.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:418cf3f2111bc80e0933b2cd8cd04f286338bb88bdc7bc8e6dd775ebde60b5e0"},
-    {file = "pyyaml-6.0.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:5e0b74767e5f8c593e8c9b5912019159ed0533c70051e9cce3e8b6aa699fcd69"},
-    {file = "pyyaml-6.0.3-cp310-cp310-win32.whl", hash = "sha256:28c8d926f98f432f88adc23edf2e6d4921ac26fb084b028c733d01868d19007e"},
-    {file = "pyyaml-6.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:bdb2c67c6c1390b63c6ff89f210c8fd09d9a1217a465701eac7316313c915e4c"},
-    {file = "pyyaml-6.0.3-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:44edc647873928551a01e7a563d7452ccdebee747728c1080d881d68af7b997e"},
-    {file = "pyyaml-6.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:652cb6edd41e718550aad172851962662ff2681490a8a711af6a4d288dd96824"},
-    {file = "pyyaml-6.0.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:10892704fc220243f5305762e276552a0395f7beb4dbf9b14ec8fd43b57f126c"},
-    {file = "pyyaml-6.0.3-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:850774a7879607d3a6f50d36d04f00ee69e7fc816450e5f7e58d7f17f1ae5c00"},
-    {file = "pyyaml-6.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b8bb0864c5a28024fac8a632c443c87c5aa6f215c0b126c449ae1a150412f31d"},
-    {file = "pyyaml-6.0.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1d37d57ad971609cf3c53ba6a7e365e40660e3be0e5175fa9f2365a379d6095a"},
-    {file = "pyyaml-6.0.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:37503bfbfc9d2c40b344d06b2199cf0e96e97957ab1c1b546fd4f87e53e5d3e4"},
-    {file = "pyyaml-6.0.3-cp311-cp311-win32.whl", hash = "sha256:8098f252adfa6c80ab48096053f512f2321f0b998f98150cea9bd23d83e1467b"},
-    {file = "pyyaml-6.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:9f3bfb4965eb874431221a3ff3fdcddc7e74e3b07799e0e84ca4a0f867d449bf"},
-    {file = "pyyaml-6.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7f047e29dcae44602496db43be01ad42fc6f1cc0d8cd6c83d342306c32270196"},
-    {file = "pyyaml-6.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:fc09d0aa354569bc501d4e787133afc08552722d3ab34836a80547331bb5d4a0"},
-    {file = "pyyaml-6.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9149cad251584d5fb4981be1ecde53a1ca46c891a79788c0df828d2f166bda28"},
-    {file = "pyyaml-6.0.3-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5fdec68f91a0c6739b380c83b951e2c72ac0197ace422360e6d5a959d8d97b2c"},
-    {file = "pyyaml-6.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ba1cc08a7ccde2d2ec775841541641e4548226580ab850948cbfda66a1befcdc"},
-    {file = "pyyaml-6.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8dc52c23056b9ddd46818a57b78404882310fb473d63f17b07d5c40421e47f8e"},
-    {file = "pyyaml-6.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:41715c910c881bc081f1e8872880d3c650acf13dfa8214bad49ed4cede7c34ea"},
-    {file = "pyyaml-6.0.3-cp312-cp312-win32.whl", hash = "sha256:96b533f0e99f6579b3d4d4995707cf36df9100d67e0c8303a0c55b27b5f99bc5"},
-    {file = "pyyaml-6.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:5fcd34e47f6e0b794d17de1b4ff496c00986e1c83f7ab2fb8fcfe9616ff7477b"},
-    {file = "pyyaml-6.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:64386e5e707d03a7e172c0701abfb7e10f0fb753ee1d773128192742712a98fd"},
-    {file = "pyyaml-6.0.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8da9669d359f02c0b91ccc01cac4a67f16afec0dac22c2ad09f46bee0697eba8"},
-    {file = "pyyaml-6.0.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:2283a07e2c21a2aa78d9c4442724ec1eb15f5e42a723b99cb3d822d48f5f7ad1"},
-    {file = "pyyaml-6.0.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ee2922902c45ae8ccada2c5b501ab86c36525b883eff4255313a253a3160861c"},
-    {file = "pyyaml-6.0.3-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:a33284e20b78bd4a18c8c2282d549d10bc8408a2a7ff57653c0cf0b9be0afce5"},
-    {file = "pyyaml-6.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0f29edc409a6392443abf94b9cf89ce99889a1dd5376d94316ae5145dfedd5d6"},
-    {file = "pyyaml-6.0.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:f7057c9a337546edc7973c0d3ba84ddcdf0daa14533c2065749c9075001090e6"},
-    {file = "pyyaml-6.0.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:eda16858a3cab07b80edaf74336ece1f986ba330fdb8ee0d6c0d68fe82bc96be"},
-    {file = "pyyaml-6.0.3-cp313-cp313-win32.whl", hash = "sha256:d0eae10f8159e8fdad514efdc92d74fd8d682c933a6dd088030f3834bc8e6b26"},
-    {file = "pyyaml-6.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:79005a0d97d5ddabfeeea4cf676af11e647e41d81c9a7722a193022accdb6b7c"},
-    {file = "pyyaml-6.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:5498cd1645aa724a7c71c8f378eb29ebe23da2fc0d7a08071d89469bf1d2defb"},
-    {file = "pyyaml-6.0.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:8d1fab6bb153a416f9aeb4b8763bc0f22a5586065f86f7664fc23339fc1c1fac"},
-    {file = "pyyaml-6.0.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:34d5fcd24b8445fadc33f9cf348c1047101756fd760b4dacb5c3e99755703310"},
-    {file = "pyyaml-6.0.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:501a031947e3a9025ed4405a168e6ef5ae3126c59f90ce0cd6f2bfc477be31b7"},
-    {file = "pyyaml-6.0.3-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:b3bc83488de33889877a0f2543ade9f70c67d66d9ebb4ac959502e12de895788"},
-    {file = "pyyaml-6.0.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c458b6d084f9b935061bc36216e8a69a7e293a2f1e68bf956dcd9e6cbcd143f5"},
-    {file = "pyyaml-6.0.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:7c6610def4f163542a622a73fb39f534f8c101d690126992300bf3207eab9764"},
-    {file = "pyyaml-6.0.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:5190d403f121660ce8d1d2c1bb2ef1bd05b5f68533fc5c2ea899bd15f4399b35"},
-    {file = "pyyaml-6.0.3-cp314-cp314-win_amd64.whl", hash = "sha256:4a2e8cebe2ff6ab7d1050ecd59c25d4c8bd7e6f400f5f82b96557ac0abafd0ac"},
-    {file = "pyyaml-6.0.3-cp314-cp314-win_arm64.whl", hash = "sha256:93dda82c9c22deb0a405ea4dc5f2d0cda384168e466364dec6255b293923b2f3"},
-    {file = "pyyaml-6.0.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:02893d100e99e03eda1c8fd5c441d8c60103fd175728e23e431db1b589cf5ab3"},
-    {file = "pyyaml-6.0.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:c1ff362665ae507275af2853520967820d9124984e0f7466736aea23d8611fba"},
-    {file = "pyyaml-6.0.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6adc77889b628398debc7b65c073bcb99c4a0237b248cacaf3fe8a557563ef6c"},
-    {file = "pyyaml-6.0.3-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:a80cb027f6b349846a3bf6d73b5e95e782175e52f22108cfa17876aaeff93702"},
-    {file = "pyyaml-6.0.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:00c4bdeba853cc34e7dd471f16b4114f4162dc03e6b7afcc2128711f0eca823c"},
-    {file = "pyyaml-6.0.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:66e1674c3ef6f541c35191caae2d429b967b99e02040f5ba928632d9a7f0f065"},
-    {file = "pyyaml-6.0.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:16249ee61e95f858e83976573de0f5b2893b3677ba71c9dd36b9cf8be9ac6d65"},
-    {file = "pyyaml-6.0.3-cp314-cp314t-win_amd64.whl", hash = "sha256:4ad1906908f2f5ae4e5a8ddfce73c320c2a1429ec52eafd27138b7f1cbe341c9"},
-    {file = "pyyaml-6.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:ebc55a14a21cb14062aa4162f906cd962b28e2e9ea38f9b4391244cd8de4ae0b"},
-    {file = "pyyaml-6.0.3-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:b865addae83924361678b652338317d1bd7e79b1f4596f96b96c77a5a34b34da"},
-    {file = "pyyaml-6.0.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c3355370a2c156cffb25e876646f149d5d68f5e0a3ce86a5084dd0b64a994917"},
-    {file = "pyyaml-6.0.3-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3c5677e12444c15717b902a5798264fa7909e41153cdf9ef7ad571b704a63dd9"},
-    {file = "pyyaml-6.0.3-cp39-cp39-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5ed875a24292240029e4483f9d4a4b8a1ae08843b9c54f43fcc11e404532a8a5"},
-    {file = "pyyaml-6.0.3-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0150219816b6a1fa26fb4699fb7daa9caf09eb1999f3b70fb6e786805e80375a"},
-    {file = "pyyaml-6.0.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:fa160448684b4e94d80416c0fa4aac48967a969efe22931448d853ada8baf926"},
-    {file = "pyyaml-6.0.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:27c0abcb4a5dac13684a37f76e701e054692a9b2d3064b70f5e4eb54810553d7"},
-    {file = "pyyaml-6.0.3-cp39-cp39-win32.whl", hash = "sha256:1ebe39cb5fc479422b83de611d14e2c0d3bb2a18bbcb01f229ab3cfbd8fee7a0"},
-    {file = "pyyaml-6.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:2e71d11abed7344e42a8849600193d15b6def118602c4c176f748e4583246007"},
-    {file = "pyyaml-6.0.3.tar.gz", hash = "sha256:d76623373421df22fb4cf8817020cbb7ef15c725b9d5e45f17e189bfc384190f"},
-]
-
-[[package]]
-name = "pyyaml-env-tag"
-version = "1.1"
-description = "A custom YAML tag for referencing environment variables in YAML files."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "pyyaml_env_tag-1.1-py3-none-any.whl", hash = "sha256:17109e1a528561e32f026364712fee1264bc2ea6715120891174ed1b980d2e04"},
-    {file = "pyyaml_env_tag-1.1.tar.gz", hash = "sha256:2eb38b75a2d21ee0475d6d97ec19c63287a7e140231e4214969d0eac923cd7ff"},
-]
-
-[package.dependencies]
-pyyaml = "*"
-
-[[package]]
-name = "pyzmq"
-version = "27.1.0"
-description = "Python bindings for 0MQ"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "pyzmq-27.1.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:508e23ec9bc44c0005c4946ea013d9317ae00ac67778bd47519fdf5a0e930ff4"},
-    {file = "pyzmq-27.1.0-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:507b6f430bdcf0ee48c0d30e734ea89ce5567fd7b8a0f0044a369c176aa44556"},
-    {file = "pyzmq-27.1.0-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bf7b38f9fd7b81cb6d9391b2946382c8237fd814075c6aa9c3b746d53076023b"},
-    {file = "pyzmq-27.1.0-cp310-cp310-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:03ff0b279b40d687691a6217c12242ee71f0fba28bf8626ff50e3ef0f4410e1e"},
-    {file = "pyzmq-27.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:677e744fee605753eac48198b15a2124016c009a11056f93807000ab11ce6526"},
-    {file = "pyzmq-27.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:dd2fec2b13137416a1c5648b7009499bcc8fea78154cd888855fa32514f3dad1"},
-    {file = "pyzmq-27.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:08e90bb4b57603b84eab1d0ca05b3bbb10f60c1839dc471fc1c9e1507bef3386"},
-    {file = "pyzmq-27.1.0-cp310-cp310-win32.whl", hash = "sha256:a5b42d7a0658b515319148875fcb782bbf118dd41c671b62dae33666c2213bda"},
-    {file = "pyzmq-27.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:c0bb87227430ee3aefcc0ade2088100e528d5d3298a0a715a64f3d04c60ba02f"},
-    {file = "pyzmq-27.1.0-cp310-cp310-win_arm64.whl", hash = "sha256:9a916f76c2ab8d045b19f2286851a38e9ac94ea91faf65bd64735924522a8b32"},
-    {file = "pyzmq-27.1.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:226b091818d461a3bef763805e75685e478ac17e9008f49fce2d3e52b3d58b86"},
-    {file = "pyzmq-27.1.0-cp311-cp311-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:0790a0161c281ca9723f804871b4027f2e8b5a528d357c8952d08cd1a9c15581"},
-    {file = "pyzmq-27.1.0-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c895a6f35476b0c3a54e3eb6ccf41bf3018de937016e6e18748317f25d4e925f"},
-    {file = "pyzmq-27.1.0-cp311-cp311-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5bbf8d3630bf96550b3be8e1fc0fea5cbdc8d5466c1192887bd94869da17a63e"},
-    {file = "pyzmq-27.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:15c8bd0fe0dabf808e2d7a681398c4e5ded70a551ab47482067a572c054c8e2e"},
-    {file = "pyzmq-27.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:bafcb3dd171b4ae9f19ee6380dfc71ce0390fefaf26b504c0e5f628d7c8c54f2"},
-    {file = "pyzmq-27.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e829529fcaa09937189178115c49c504e69289abd39967cd8a4c215761373394"},
-    {file = "pyzmq-27.1.0-cp311-cp311-win32.whl", hash = "sha256:6df079c47d5902af6db298ec92151db82ecb557af663098b92f2508c398bb54f"},
-    {file = "pyzmq-27.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:190cbf120fbc0fc4957b56866830def56628934a9d112aec0e2507aa6a032b97"},
-    {file = "pyzmq-27.1.0-cp311-cp311-win_arm64.whl", hash = "sha256:eca6b47df11a132d1745eb3b5b5e557a7dae2c303277aa0e69c6ba91b8736e07"},
-    {file = "pyzmq-27.1.0-cp312-abi3-macosx_10_15_universal2.whl", hash = "sha256:452631b640340c928fa343801b0d07eb0c3789a5ffa843f6e1a9cee0ba4eb4fc"},
-    {file = "pyzmq-27.1.0-cp312-abi3-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1c179799b118e554b66da67d88ed66cd37a169f1f23b5d9f0a231b4e8d44a113"},
-    {file = "pyzmq-27.1.0-cp312-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3837439b7f99e60312f0c926a6ad437b067356dc2bc2ec96eb395fd0fe804233"},
-    {file = "pyzmq-27.1.0-cp312-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:43ad9a73e3da1fab5b0e7e13402f0b2fb934ae1c876c51d0afff0e7c052eca31"},
-    {file = "pyzmq-27.1.0-cp312-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:0de3028d69d4cdc475bfe47a6128eb38d8bc0e8f4d69646adfbcd840facbac28"},
-    {file = "pyzmq-27.1.0-cp312-abi3-musllinux_1_2_i686.whl", hash = "sha256:cf44a7763aea9298c0aa7dbf859f87ed7012de8bda0f3977b6fb1d96745df856"},
-    {file = "pyzmq-27.1.0-cp312-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f30f395a9e6fbca195400ce833c731e7b64c3919aa481af4d88c3759e0cb7496"},
-    {file = "pyzmq-27.1.0-cp312-abi3-win32.whl", hash = "sha256:250e5436a4ba13885494412b3da5d518cd0d3a278a1ae640e113c073a5f88edd"},
-    {file = "pyzmq-27.1.0-cp312-abi3-win_amd64.whl", hash = "sha256:9ce490cf1d2ca2ad84733aa1d69ce6855372cb5ce9223802450c9b2a7cba0ccf"},
-    {file = "pyzmq-27.1.0-cp312-abi3-win_arm64.whl", hash = "sha256:75a2f36223f0d535a0c919e23615fc85a1e23b71f40c7eb43d7b1dedb4d8f15f"},
-    {file = "pyzmq-27.1.0-cp313-cp313-android_24_arm64_v8a.whl", hash = "sha256:93ad4b0855a664229559e45c8d23797ceac03183c7b6f5b4428152a6b06684a5"},
-    {file = "pyzmq-27.1.0-cp313-cp313-android_24_x86_64.whl", hash = "sha256:fbb4f2400bfda24f12f009cba62ad5734148569ff4949b1b6ec3b519444342e6"},
-    {file = "pyzmq-27.1.0-cp313-cp313t-macosx_10_15_universal2.whl", hash = "sha256:e343d067f7b151cfe4eb3bb796a7752c9d369eed007b91231e817071d2c2fec7"},
-    {file = "pyzmq-27.1.0-cp313-cp313t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:08363b2011dec81c354d694bdecaef4770e0ae96b9afea70b3f47b973655cc05"},
-    {file = "pyzmq-27.1.0-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d54530c8c8b5b8ddb3318f481297441af102517602b569146185fa10b63f4fa9"},
-    {file = "pyzmq-27.1.0-cp313-cp313t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6f3afa12c392f0a44a2414056d730eebc33ec0926aae92b5ad5cf26ebb6cc128"},
-    {file = "pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c65047adafe573ff023b3187bb93faa583151627bc9c51fc4fb2c561ed689d39"},
-    {file = "pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:90e6e9441c946a8b0a667356f7078d96411391a3b8f80980315455574177ec97"},
-    {file = "pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:add071b2d25f84e8189aaf0882d39a285b42fa3853016ebab234a5e78c7a43db"},
-    {file = "pyzmq-27.1.0-cp313-cp313t-win32.whl", hash = "sha256:7ccc0700cfdf7bd487bea8d850ec38f204478681ea02a582a8da8171b7f90a1c"},
-    {file = "pyzmq-27.1.0-cp313-cp313t-win_amd64.whl", hash = "sha256:8085a9fba668216b9b4323be338ee5437a235fe275b9d1610e422ccc279733e2"},
-    {file = "pyzmq-27.1.0-cp313-cp313t-win_arm64.whl", hash = "sha256:6bb54ca21bcfe361e445256c15eedf083f153811c37be87e0514934d6913061e"},
-    {file = "pyzmq-27.1.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:ce980af330231615756acd5154f29813d553ea555485ae712c491cd483df6b7a"},
-    {file = "pyzmq-27.1.0-cp314-cp314t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1779be8c549e54a1c38f805e56d2a2e5c009d26de10921d7d51cfd1c8d4632ea"},
-    {file = "pyzmq-27.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7200bb0f03345515df50d99d3db206a0a6bee1955fbb8c453c76f5bf0e08fb96"},
-    {file = "pyzmq-27.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:01c0e07d558b06a60773744ea6251f769cd79a41a97d11b8bf4ab8f034b0424d"},
-    {file = "pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:80d834abee71f65253c91540445d37c4c561e293ba6e741b992f20a105d69146"},
-    {file = "pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:544b4e3b7198dde4a62b8ff6685e9802a9a1ebf47e77478a5eb88eca2a82f2fd"},
-    {file = "pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:cedc4c68178e59a4046f97eca31b148ddcf51e88677de1ef4e78cf06c5376c9a"},
-    {file = "pyzmq-27.1.0-cp314-cp314t-win32.whl", hash = "sha256:1f0b2a577fd770aa6f053211a55d1c47901f4d537389a034c690291485e5fe92"},
-    {file = "pyzmq-27.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:19c9468ae0437f8074af379e986c5d3d7d7bfe033506af442e8c879732bedbe0"},
-    {file = "pyzmq-27.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:dc5dbf68a7857b59473f7df42650c621d7e8923fb03fa74a526890f4d33cc4d7"},
-    {file = "pyzmq-27.1.0-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:18339186c0ed0ce5835f2656cdfb32203125917711af64da64dbaa3d949e5a1b"},
-    {file = "pyzmq-27.1.0-cp38-cp38-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:753d56fba8f70962cd8295fb3edb40b9b16deaa882dd2b5a3a2039f9ff7625aa"},
-    {file = "pyzmq-27.1.0-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b721c05d932e5ad9ff9344f708c96b9e1a485418c6618d765fca95d4daacfbef"},
-    {file = "pyzmq-27.1.0-cp38-cp38-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7be883ff3d722e6085ee3f4afc057a50f7f2e0c72d289fd54df5706b4e3d3a50"},
-    {file = "pyzmq-27.1.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:b2e592db3a93128daf567de9650a2f3859017b3f7a66bc4ed6e4779d6034976f"},
-    {file = "pyzmq-27.1.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:ad68808a61cbfbbae7ba26d6233f2a4aa3b221de379ce9ee468aa7a83b9c36b0"},
-    {file = "pyzmq-27.1.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:e2687c2d230e8d8584fbea433c24382edfeda0c60627aca3446aa5e58d5d1831"},
-    {file = "pyzmq-27.1.0-cp38-cp38-win32.whl", hash = "sha256:a1aa0ee920fb3825d6c825ae3f6c508403b905b698b6460408ebd5bb04bbb312"},
-    {file = "pyzmq-27.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:df7cd397ece96cf20a76fae705d40efbab217d217897a5053267cd88a700c266"},
-    {file = "pyzmq-27.1.0-cp39-cp39-macosx_10_15_universal2.whl", hash = "sha256:96c71c32fff75957db6ae33cd961439f386505c6e6b377370af9b24a1ef9eafb"},
-    {file = "pyzmq-27.1.0-cp39-cp39-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:49d3980544447f6bd2968b6ac913ab963a49dcaa2d4a2990041f16057b04c429"},
-    {file = "pyzmq-27.1.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:849ca054d81aa1c175c49484afaaa5db0622092b5eccb2055f9f3bb8f703782d"},
-    {file = "pyzmq-27.1.0-cp39-cp39-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3970778e74cb7f85934d2b926b9900e92bfe597e62267d7499acc39c9c28e345"},
-    {file = "pyzmq-27.1.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:da96ecdcf7d3919c3be2de91a8c513c186f6762aa6cf7c01087ed74fad7f0968"},
-    {file = "pyzmq-27.1.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:9541c444cfe1b1c0156c5c86ece2bb926c7079a18e7b47b0b1b3b1b875e5d098"},
-    {file = "pyzmq-27.1.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:e30a74a39b93e2e1591b58eb1acef4902be27c957a8720b0e368f579b82dc22f"},
-    {file = "pyzmq-27.1.0-cp39-cp39-win32.whl", hash = "sha256:b1267823d72d1e40701dcba7edc45fd17f71be1285557b7fe668887150a14b78"},
-    {file = "pyzmq-27.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:0c996ded912812a2fcd7ab6574f4ad3edc27cb6510349431e4930d4196ade7db"},
-    {file = "pyzmq-27.1.0-cp39-cp39-win_arm64.whl", hash = "sha256:346e9ba4198177a07e7706050f35d733e08c1c1f8ceacd5eb6389d653579ffbc"},
-    {file = "pyzmq-27.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c17e03cbc9312bee223864f1a2b13a99522e0dc9f7c5df0177cd45210ac286e6"},
-    {file = "pyzmq-27.1.0-pp310-pypy310_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:f328d01128373cb6763823b2b4e7f73bdf767834268c565151eacb3b7a392f90"},
-    {file = "pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c1790386614232e1b3a40a958454bdd42c6d1811837b15ddbb052a032a43f62"},
-    {file = "pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:448f9cb54eb0cee4732b46584f2710c8bc178b0e5371d9e4fc8125201e413a74"},
-    {file = "pyzmq-27.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:05b12f2d32112bf8c95ef2e74ec4f1d4beb01f8b5e703b38537f8849f92cb9ba"},
-    {file = "pyzmq-27.1.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:18770c8d3563715387139060d37859c02ce40718d1faf299abddcdcc6a649066"},
-    {file = "pyzmq-27.1.0-pp311-pypy311_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:ac25465d42f92e990f8d8b0546b01c391ad431c3bf447683fdc40565941d0604"},
-    {file = "pyzmq-27.1.0-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:53b40f8ae006f2734ee7608d59ed661419f087521edbfc2149c3932e9c14808c"},
-    {file = "pyzmq-27.1.0-pp311-pypy311_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f605d884e7c8be8fe1aa94e0a783bf3f591b84c24e4bc4f3e7564c82ac25e271"},
-    {file = "pyzmq-27.1.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:c9f7f6e13dff2e44a6afeaf2cf54cee5929ad64afaf4d40b50f93c58fc687355"},
-    {file = "pyzmq-27.1.0-pp38-pypy38_pp73-macosx_10_15_x86_64.whl", hash = "sha256:50081a4e98472ba9f5a02850014b4c9b629da6710f8f14f3b15897c666a28f1b"},
-    {file = "pyzmq-27.1.0-pp38-pypy38_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:510869f9df36ab97f89f4cff9d002a89ac554c7ac9cadd87d444aa4cf66abd27"},
-    {file = "pyzmq-27.1.0-pp38-pypy38_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1f8426a01b1c4098a750973c37131cf585f61c7911d735f729935a0c701b68d3"},
-    {file = "pyzmq-27.1.0-pp38-pypy38_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:726b6a502f2e34c6d2ada5e702929586d3ac948a4dbbb7fed9854ec8c0466027"},
-    {file = "pyzmq-27.1.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:bd67e7c8f4654bef471c0b1ca6614af0b5202a790723a58b79d9584dc8022a78"},
-    {file = "pyzmq-27.1.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:722ea791aa233ac0a819fc2c475e1292c76930b31f1d828cb61073e2fe5e208f"},
-    {file = "pyzmq-27.1.0-pp39-pypy39_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:01f9437501886d3a1dd4b02ef59fb8cc384fa718ce066d52f175ee49dd5b7ed8"},
-    {file = "pyzmq-27.1.0-pp39-pypy39_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4a19387a3dddcc762bfd2f570d14e2395b2c9701329b266f83dd87a2b3cbd381"},
-    {file = "pyzmq-27.1.0-pp39-pypy39_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4c618fbcd069e3a29dcd221739cacde52edcc681f041907867e0f5cc7e85f172"},
-    {file = "pyzmq-27.1.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:ff8d114d14ac671d88c89b9224c63d6c4e5a613fe8acd5594ce53d752a3aafe9"},
-    {file = "pyzmq-27.1.0.tar.gz", hash = "sha256:ac0765e3d44455adb6ddbf4417dcce460fc40a05978c08efdf2948072f6db540"},
-]
-
-[package.dependencies]
-cffi = {version = "*", markers = "implementation_name == \"pypy\""}
-
-[[package]]
-name = "questionary"
-version = "2.1.1"
-description = "Python library to build pretty command line user prompts ⭐️"
-optional = false
-python-versions = ">=3.9"
-groups = ["shiny"]
-markers = "platform_system != \"Emscripten\""
-files = [
-    {file = "questionary-2.1.1-py3-none-any.whl", hash = "sha256:a51af13f345f1cdea62347589fbb6df3b290306ab8930713bfae4d475a7d4a59"},
-    {file = "questionary-2.1.1.tar.gz", hash = "sha256:3d7e980292bb0107abaa79c68dd3eee3c561b83a0f89ae482860b181c8bd412d"},
-]
-
-[package.dependencies]
-prompt_toolkit = ">=2.0,<4.0"
-
-[[package]]
-name = "referencing"
-version = "0.37.0"
-description = "JSON Referencing + Python"
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-files = [
-    {file = "referencing-0.37.0-py3-none-any.whl", hash = "sha256:381329a9f99628c9069361716891d34ad94af76e461dcb0335825aecc7692231"},
-    {file = "referencing-0.37.0.tar.gz", hash = "sha256:44aefc3142c5b842538163acb373e24cce6632bd54bdb01b21ad5863489f50d8"},
-]
-
-[package.dependencies]
-attrs = ">=22.2.0"
-rpds-py = ">=0.7.0"
-typing-extensions = {version = ">=4.4.0", markers = "python_version < \"3.13\""}
-
-[[package]]
-name = "requests"
-version = "2.32.5"
-description = "Python HTTP for Humans."
-optional = false
-python-versions = ">=3.9"
-groups = ["main", "dev"]
-files = [
-    {file = "requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6"},
-    {file = "requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf"},
-]
-
-[package.dependencies]
-certifi = ">=2017.4.17"
-charset_normalizer = ">=2,<4"
-idna = ">=2.5,<4"
-urllib3 = ">=1.21.1,<3"
-
-[package.extras]
-socks = ["PySocks (>=1.5.6,!=1.5.7)"]
-use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
-
-[[package]]
-name = "rfc3339-validator"
-version = "0.1.4"
-description = "A pure python RFC3339 validator"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["dev"]
-files = [
-    {file = "rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa"},
-    {file = "rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b"},
-]
-
-[package.dependencies]
-six = "*"
-
-[[package]]
-name = "rfc3986-validator"
-version = "0.1.1"
-description = "Pure python rfc3986 validator"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["dev"]
-files = [
-    {file = "rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9"},
-    {file = "rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055"},
-]
-
-[[package]]
-name = "rfc3987-syntax"
-version = "1.1.0"
-description = "Helper functions to syntactically validate strings according to RFC 3987."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "rfc3987_syntax-1.1.0-py3-none-any.whl", hash = "sha256:6c3d97604e4c5ce9f714898e05401a0445a641cfa276432b0a648c80856f6a3f"},
-    {file = "rfc3987_syntax-1.1.0.tar.gz", hash = "sha256:717a62cbf33cffdd16dfa3a497d81ce48a660ea691b1ddd7be710c22f00b4a0d"},
-]
-
-[package.dependencies]
-lark = ">=1.2.2"
-
-[package.extras]
-testing = ["pytest (>=8.3.5)"]
-
-[[package]]
-name = "rich"
-version = "14.3.1"
-description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
-optional = false
-python-versions = ">=3.8.0"
-groups = ["main"]
-files = [
-    {file = "rich-14.3.1-py3-none-any.whl", hash = "sha256:da750b1aebbff0b372557426fb3f35ba56de8ef954b3190315eb64076d6fb54e"},
-    {file = "rich-14.3.1.tar.gz", hash = "sha256:b8c5f568a3a749f9290ec6bddedf835cec33696bfc1e48bcfecb276c7386e4b8"},
-]
-
-[package.dependencies]
-markdown-it-py = ">=2.2.0"
-pygments = ">=2.13.0,<3.0.0"
-
-[package.extras]
-jupyter = ["ipywidgets (>=7.5.1,<9)"]
-
-[[package]]
-name = "rpds-py"
-version = "0.30.0"
-description = "Python bindings to Rust's persistent data structures (rpds)"
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-files = [
-    {file = "rpds_py-0.30.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:679ae98e00c0e8d68a7fda324e16b90fd5260945b45d3b824c892cec9eea3288"},
-    {file = "rpds_py-0.30.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4cc2206b76b4f576934f0ed374b10d7ca5f457858b157ca52064bdfc26b9fc00"},
-    {file = "rpds_py-0.30.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:389a2d49eded1896c3d48b0136ead37c48e221b391c052fba3f4055c367f60a6"},
-    {file = "rpds_py-0.30.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:32c8528634e1bf7121f3de08fa85b138f4e0dc47657866630611b03967f041d7"},
-    {file = "rpds_py-0.30.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f207f69853edd6f6700b86efb84999651baf3789e78a466431df1331608e5324"},
-    {file = "rpds_py-0.30.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:67b02ec25ba7a9e8fa74c63b6ca44cf5707f2fbfadae3ee8e7494297d56aa9df"},
-    {file = "rpds_py-0.30.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c0e95f6819a19965ff420f65578bacb0b00f251fefe2c8b23347c37174271f3"},
-    {file = "rpds_py-0.30.0-cp310-cp310-manylinux_2_31_riscv64.whl", hash = "sha256:a452763cc5198f2f98898eb98f7569649fe5da666c2dc6b5ddb10fde5a574221"},
-    {file = "rpds_py-0.30.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e0b65193a413ccc930671c55153a03ee57cecb49e6227204b04fae512eb657a7"},
-    {file = "rpds_py-0.30.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:858738e9c32147f78b3ac24dc0edb6610000e56dc0f700fd5f651d0a0f0eb9ff"},
-    {file = "rpds_py-0.30.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:da279aa314f00acbb803da1e76fa18666778e8a8f83484fba94526da5de2cba7"},
-    {file = "rpds_py-0.30.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:7c64d38fb49b6cdeda16ab49e35fe0da2e1e9b34bc38bd78386530f218b37139"},
-    {file = "rpds_py-0.30.0-cp310-cp310-win32.whl", hash = "sha256:6de2a32a1665b93233cde140ff8b3467bdb9e2af2b91079f0333a0974d12d464"},
-    {file = "rpds_py-0.30.0-cp310-cp310-win_amd64.whl", hash = "sha256:1726859cd0de969f88dc8673bdd954185b9104e05806be64bcd87badbe313169"},
-    {file = "rpds_py-0.30.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:a2bffea6a4ca9f01b3f8e548302470306689684e61602aa3d141e34da06cf425"},
-    {file = "rpds_py-0.30.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dc4f992dfe1e2bc3ebc7444f6c7051b4bc13cd8e33e43511e8ffd13bf407010d"},
-    {file = "rpds_py-0.30.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:422c3cb9856d80b09d30d2eb255d0754b23e090034e1deb4083f8004bd0761e4"},
-    {file = "rpds_py-0.30.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:07ae8a593e1c3c6b82ca3292efbe73c30b61332fd612e05abee07c79359f292f"},
-    {file = "rpds_py-0.30.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:12f90dd7557b6bd57f40abe7747e81e0c0b119bef015ea7726e69fe550e394a4"},
-    {file = "rpds_py-0.30.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:99b47d6ad9a6da00bec6aabe5a6279ecd3c06a329d4aa4771034a21e335c3a97"},
-    {file = "rpds_py-0.30.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33f559f3104504506a44bb666b93a33f5d33133765b0c216a5bf2f1e1503af89"},
-    {file = "rpds_py-0.30.0-cp311-cp311-manylinux_2_31_riscv64.whl", hash = "sha256:946fe926af6e44f3697abbc305ea168c2c31d3e3ef1058cf68f379bf0335a78d"},
-    {file = "rpds_py-0.30.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:495aeca4b93d465efde585977365187149e75383ad2684f81519f504f5c13038"},
-    {file = "rpds_py-0.30.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d9a0ca5da0386dee0655b4ccdf46119df60e0f10da268d04fe7cc87886872ba7"},
-    {file = "rpds_py-0.30.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:8d6d1cc13664ec13c1b84241204ff3b12f9bb82464b8ad6e7a5d3486975c2eed"},
-    {file = "rpds_py-0.30.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:3896fa1be39912cf0757753826bc8bdc8ca331a28a7c4ae46b7a21280b06bb85"},
-    {file = "rpds_py-0.30.0-cp311-cp311-win32.whl", hash = "sha256:55f66022632205940f1827effeff17c4fa7ae1953d2b74a8581baaefb7d16f8c"},
-    {file = "rpds_py-0.30.0-cp311-cp311-win_amd64.whl", hash = "sha256:a51033ff701fca756439d641c0ad09a41d9242fa69121c7d8769604a0a629825"},
-    {file = "rpds_py-0.30.0-cp311-cp311-win_arm64.whl", hash = "sha256:47b0ef6231c58f506ef0b74d44e330405caa8428e770fec25329ed2cb971a229"},
-    {file = "rpds_py-0.30.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:a161f20d9a43006833cd7068375a94d035714d73a172b681d8881820600abfad"},
-    {file = "rpds_py-0.30.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6abc8880d9d036ecaafe709079969f56e876fcf107f7a8e9920ba6d5a3878d05"},
-    {file = "rpds_py-0.30.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ca28829ae5f5d569bb62a79512c842a03a12576375d5ece7d2cadf8abe96ec28"},
-    {file = "rpds_py-0.30.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a1010ed9524c73b94d15919ca4d41d8780980e1765babf85f9a2f90d247153dd"},
-    {file = "rpds_py-0.30.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f8d1736cfb49381ba528cd5baa46f82fdc65c06e843dab24dd70b63d09121b3f"},
-    {file = "rpds_py-0.30.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d948b135c4693daff7bc2dcfc4ec57237a29bd37e60c2fabf5aff2bbacf3e2f1"},
-    {file = "rpds_py-0.30.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47f236970bccb2233267d89173d3ad2703cd36a0e2a6e92d0560d333871a3d23"},
-    {file = "rpds_py-0.30.0-cp312-cp312-manylinux_2_31_riscv64.whl", hash = "sha256:2e6ecb5a5bcacf59c3f912155044479af1d0b6681280048b338b28e364aca1f6"},
-    {file = "rpds_py-0.30.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a8fa71a2e078c527c3e9dc9fc5a98c9db40bcc8a92b4e8858e36d329f8684b51"},
-    {file = "rpds_py-0.30.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:73c67f2db7bc334e518d097c6d1e6fed021bbc9b7d678d6cc433478365d1d5f5"},
-    {file = "rpds_py-0.30.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:5ba103fb455be00f3b1c2076c9d4264bfcb037c976167a6047ed82f23153f02e"},
-    {file = "rpds_py-0.30.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7cee9c752c0364588353e627da8a7e808a66873672bcb5f52890c33fd965b394"},
-    {file = "rpds_py-0.30.0-cp312-cp312-win32.whl", hash = "sha256:1ab5b83dbcf55acc8b08fc62b796ef672c457b17dbd7820a11d6c52c06839bdf"},
-    {file = "rpds_py-0.30.0-cp312-cp312-win_amd64.whl", hash = "sha256:a090322ca841abd453d43456ac34db46e8b05fd9b3b4ac0c78bcde8b089f959b"},
-    {file = "rpds_py-0.30.0-cp312-cp312-win_arm64.whl", hash = "sha256:669b1805bd639dd2989b281be2cfd951c6121b65e729d9b843e9639ef1fd555e"},
-    {file = "rpds_py-0.30.0-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:f83424d738204d9770830d35290ff3273fbb02b41f919870479fab14b9d303b2"},
-    {file = "rpds_py-0.30.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:e7536cd91353c5273434b4e003cbda89034d67e7710eab8761fd918ec6c69cf8"},
-    {file = "rpds_py-0.30.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2771c6c15973347f50fece41fc447c054b7ac2ae0502388ce3b6738cd366e3d4"},
-    {file = "rpds_py-0.30.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0a59119fc6e3f460315fe9d08149f8102aa322299deaa5cab5b40092345c2136"},
-    {file = "rpds_py-0.30.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:76fec018282b4ead0364022e3c54b60bf368b9d926877957a8624b58419169b7"},
-    {file = "rpds_py-0.30.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:692bef75a5525db97318e8cd061542b5a79812d711ea03dbc1f6f8dbb0c5f0d2"},
-    {file = "rpds_py-0.30.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9027da1ce107104c50c81383cae773ef5c24d296dd11c99e2629dbd7967a20c6"},
-    {file = "rpds_py-0.30.0-cp313-cp313-manylinux_2_31_riscv64.whl", hash = "sha256:9cf69cdda1f5968a30a359aba2f7f9aa648a9ce4b580d6826437f2b291cfc86e"},
-    {file = "rpds_py-0.30.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a4796a717bf12b9da9d3ad002519a86063dcac8988b030e405704ef7d74d2d9d"},
-    {file = "rpds_py-0.30.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5d4c2aa7c50ad4728a094ebd5eb46c452e9cb7edbfdb18f9e1221f597a73e1e7"},
-    {file = "rpds_py-0.30.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ba81a9203d07805435eb06f536d95a266c21e5b2dfbf6517748ca40c98d19e31"},
-    {file = "rpds_py-0.30.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:945dccface01af02675628334f7cf49c2af4c1c904748efc5cf7bbdf0b579f95"},
-    {file = "rpds_py-0.30.0-cp313-cp313-win32.whl", hash = "sha256:b40fb160a2db369a194cb27943582b38f79fc4887291417685f3ad693c5a1d5d"},
-    {file = "rpds_py-0.30.0-cp313-cp313-win_amd64.whl", hash = "sha256:806f36b1b605e2d6a72716f321f20036b9489d29c51c91f4dd29a3e3afb73b15"},
-    {file = "rpds_py-0.30.0-cp313-cp313-win_arm64.whl", hash = "sha256:d96c2086587c7c30d44f31f42eae4eac89b60dabbac18c7669be3700f13c3ce1"},
-    {file = "rpds_py-0.30.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:eb0b93f2e5c2189ee831ee43f156ed34e2a89a78a66b98cadad955972548be5a"},
-    {file = "rpds_py-0.30.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:922e10f31f303c7c920da8981051ff6d8c1a56207dbdf330d9047f6d30b70e5e"},
-    {file = "rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cdc62c8286ba9bf7f47befdcea13ea0e26bf294bda99758fd90535cbaf408000"},
-    {file = "rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:47f9a91efc418b54fb8190a6b4aa7813a23fb79c51f4bb84e418f5476c38b8db"},
-    {file = "rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1f3587eb9b17f3789ad50824084fa6f81921bbf9a795826570bda82cb3ed91f2"},
-    {file = "rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:39c02563fc592411c2c61d26b6c5fe1e51eaa44a75aa2c8735ca88b0d9599daa"},
-    {file = "rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:51a1234d8febafdfd33a42d97da7a43f5dcb120c1060e352a3fbc0c6d36e2083"},
-    {file = "rpds_py-0.30.0-cp313-cp313t-manylinux_2_31_riscv64.whl", hash = "sha256:eb2c4071ab598733724c08221091e8d80e89064cd472819285a9ab0f24bcedb9"},
-    {file = "rpds_py-0.30.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6bdfdb946967d816e6adf9a3d8201bfad269c67efe6cefd7093ef959683c8de0"},
-    {file = "rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c77afbd5f5250bf27bf516c7c4a016813eb2d3e116139aed0096940c5982da94"},
-    {file = "rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:61046904275472a76c8c90c9ccee9013d70a6d0f73eecefd38c1ae7c39045a08"},
-    {file = "rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4c5f36a861bc4b7da6516dbdf302c55313afa09b81931e8280361a4f6c9a2d27"},
-    {file = "rpds_py-0.30.0-cp313-cp313t-win32.whl", hash = "sha256:3d4a69de7a3e50ffc214ae16d79d8fbb0922972da0356dcf4d0fdca2878559c6"},
-    {file = "rpds_py-0.30.0-cp313-cp313t-win_amd64.whl", hash = "sha256:f14fc5df50a716f7ece6a80b6c78bb35ea2ca47c499e422aa4463455dd96d56d"},
-    {file = "rpds_py-0.30.0-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:68f19c879420aa08f61203801423f6cd5ac5f0ac4ac82a2368a9fcd6a9a075e0"},
-    {file = "rpds_py-0.30.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:ec7c4490c672c1a0389d319b3a9cfcd098dcdc4783991553c332a15acf7249be"},
-    {file = "rpds_py-0.30.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f251c812357a3fed308d684a5079ddfb9d933860fc6de89f2b7ab00da481e65f"},
-    {file = "rpds_py-0.30.0-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ac98b175585ecf4c0348fd7b29c3864bda53b805c773cbf7bfdaffc8070c976f"},
-    {file = "rpds_py-0.30.0-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3e62880792319dbeb7eb866547f2e35973289e7d5696c6e295476448f5b63c87"},
-    {file = "rpds_py-0.30.0-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4e7fc54e0900ab35d041b0601431b0a0eb495f0851a0639b6ef90f7741b39a18"},
-    {file = "rpds_py-0.30.0-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47e77dc9822d3ad616c3d5759ea5631a75e5809d5a28707744ef79d7a1bcfcad"},
-    {file = "rpds_py-0.30.0-cp314-cp314-manylinux_2_31_riscv64.whl", hash = "sha256:b4dc1a6ff022ff85ecafef7979a2c6eb423430e05f1165d6688234e62ba99a07"},
-    {file = "rpds_py-0.30.0-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4559c972db3a360808309e06a74628b95eaccbf961c335c8fe0d590cf587456f"},
-    {file = "rpds_py-0.30.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:0ed177ed9bded28f8deb6ab40c183cd1192aa0de40c12f38be4d59cd33cb5c65"},
-    {file = "rpds_py-0.30.0-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:ad1fa8db769b76ea911cb4e10f049d80bf518c104f15b3edb2371cc65375c46f"},
-    {file = "rpds_py-0.30.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:46e83c697b1f1c72b50e5ee5adb4353eef7406fb3f2043d64c33f20ad1c2fc53"},
-    {file = "rpds_py-0.30.0-cp314-cp314-win32.whl", hash = "sha256:ee454b2a007d57363c2dfd5b6ca4a5d7e2c518938f8ed3b706e37e5d470801ed"},
-    {file = "rpds_py-0.30.0-cp314-cp314-win_amd64.whl", hash = "sha256:95f0802447ac2d10bcc69f6dc28fe95fdf17940367b21d34e34c737870758950"},
-    {file = "rpds_py-0.30.0-cp314-cp314-win_arm64.whl", hash = "sha256:613aa4771c99f03346e54c3f038e4cc574ac09a3ddfb0e8878487335e96dead6"},
-    {file = "rpds_py-0.30.0-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:7e6ecfcb62edfd632e56983964e6884851786443739dbfe3582947e87274f7cb"},
-    {file = "rpds_py-0.30.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:a1d0bc22a7cdc173fedebb73ef81e07faef93692b8c1ad3733b67e31e1b6e1b8"},
-    {file = "rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d08f00679177226c4cb8c5265012eea897c8ca3b93f429e546600c971bcbae7"},
-    {file = "rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5965af57d5848192c13534f90f9dd16464f3c37aaf166cc1da1cae1fd5a34898"},
-    {file = "rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9a4e86e34e9ab6b667c27f3211ca48f73dba7cd3d90f8d5b11be56e5dbc3fb4e"},
-    {file = "rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e5d3e6b26f2c785d65cc25ef1e5267ccbe1b069c5c21b8cc724efee290554419"},
-    {file = "rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:626a7433c34566535b6e56a1b39a7b17ba961e97ce3b80ec62e6f1312c025551"},
-    {file = "rpds_py-0.30.0-cp314-cp314t-manylinux_2_31_riscv64.whl", hash = "sha256:acd7eb3f4471577b9b5a41baf02a978e8bdeb08b4b355273994f8b87032000a8"},
-    {file = "rpds_py-0.30.0-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:fe5fa731a1fa8a0a56b0977413f8cacac1768dad38d16b3a296712709476fbd5"},
-    {file = "rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:74a3243a411126362712ee1524dfc90c650a503502f135d54d1b352bd01f2404"},
-    {file = "rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:3e8eeb0544f2eb0d2581774be4c3410356eba189529a6b3e36bbbf9696175856"},
-    {file = "rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:dbd936cde57abfee19ab3213cf9c26be06d60750e60a8e4dd85d1ab12c8b1f40"},
-    {file = "rpds_py-0.30.0-cp314-cp314t-win32.whl", hash = "sha256:dc824125c72246d924f7f796b4f63c1e9dc810c7d9e2355864b3c3a73d59ade0"},
-    {file = "rpds_py-0.30.0-cp314-cp314t-win_amd64.whl", hash = "sha256:27f4b0e92de5bfbc6f86e43959e6edd1425c33b5e69aab0984a72047f2bcf1e3"},
-    {file = "rpds_py-0.30.0-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:c2262bdba0ad4fc6fb5545660673925c2d2a5d9e2e0fb603aad545427be0fc58"},
-    {file = "rpds_py-0.30.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:ee6af14263f25eedc3bb918a3c04245106a42dfd4f5c2285ea6f997b1fc3f89a"},
-    {file = "rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3adbb8179ce342d235c31ab8ec511e66c73faa27a47e076ccc92421add53e2bb"},
-    {file = "rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:250fa00e9543ac9b97ac258bd37367ff5256666122c2d0f2bc97577c60a1818c"},
-    {file = "rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9854cf4f488b3d57b9aaeb105f06d78e5529d3145b1e4a41750167e8c213c6d3"},
-    {file = "rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:993914b8e560023bc0a8bf742c5f303551992dcb85e247b1e5c7f4a7d145bda5"},
-    {file = "rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58edca431fb9b29950807e301826586e5bbf24163677732429770a697ffe6738"},
-    {file = "rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_31_riscv64.whl", hash = "sha256:dea5b552272a944763b34394d04577cf0f9bd013207bc32323b5a89a53cf9c2f"},
-    {file = "rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ba3af48635eb83d03f6c9735dfb21785303e73d22ad03d489e88adae6eab8877"},
-    {file = "rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:dff13836529b921e22f15cb099751209a60009731a68519630a24d61f0b1b30a"},
-    {file = "rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_i686.whl", hash = "sha256:1b151685b23929ab7beec71080a8889d4d6d9fa9a983d213f07121205d48e2c4"},
-    {file = "rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:ac37f9f516c51e5753f27dfdef11a88330f04de2d564be3991384b2f3535d02e"},
-    {file = "rpds_py-0.30.0.tar.gz", hash = "sha256:dd8ff7cf90014af0c0f787eea34794ebf6415242ee1d6fa91eaba725cc441e84"},
-]
-
-[[package]]
-name = "scikit-image"
-version = "0.25.2"
-description = "Image processing in Python"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "scikit_image-0.25.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d3278f586793176599df6a4cf48cb6beadae35c31e58dc01a98023af3dc31c78"},
-    {file = "scikit_image-0.25.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:5c311069899ce757d7dbf1d03e32acb38bb06153236ae77fcd820fd62044c063"},
-    {file = "scikit_image-0.25.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:be455aa7039a6afa54e84f9e38293733a2622b8c2fb3362b822d459cc5605e99"},
-    {file = "scikit_image-0.25.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a4c464b90e978d137330be433df4e76d92ad3c5f46a22f159520ce0fdbea8a09"},
-    {file = "scikit_image-0.25.2-cp310-cp310-win_amd64.whl", hash = "sha256:60516257c5a2d2f74387c502aa2f15a0ef3498fbeaa749f730ab18f0a40fd054"},
-    {file = "scikit_image-0.25.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f4bac9196fb80d37567316581c6060763b0f4893d3aca34a9ede3825bc035b17"},
-    {file = "scikit_image-0.25.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:d989d64ff92e0c6c0f2018c7495a5b20e2451839299a018e0e5108b2680f71e0"},
-    {file = "scikit_image-0.25.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b2cfc96b27afe9a05bc92f8c6235321d3a66499995675b27415e0d0c76625173"},
-    {file = "scikit_image-0.25.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:24cc986e1f4187a12aa319f777b36008764e856e5013666a4a83f8df083c2641"},
-    {file = "scikit_image-0.25.2-cp311-cp311-win_amd64.whl", hash = "sha256:b4f6b61fc2db6340696afe3db6b26e0356911529f5f6aee8c322aa5157490c9b"},
-    {file = "scikit_image-0.25.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:8db8dd03663112783221bf01ccfc9512d1cc50ac9b5b0fe8f4023967564719fb"},
-    {file = "scikit_image-0.25.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:483bd8cc10c3d8a7a37fae36dfa5b21e239bd4ee121d91cad1f81bba10cfb0ed"},
-    {file = "scikit_image-0.25.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d1e80107bcf2bf1291acfc0bf0425dceb8890abe9f38d8e94e23497cbf7ee0d"},
-    {file = "scikit_image-0.25.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a17e17eb8562660cc0d31bb55643a4da996a81944b82c54805c91b3fe66f4824"},
-    {file = "scikit_image-0.25.2-cp312-cp312-win_amd64.whl", hash = "sha256:bdd2b8c1de0849964dbc54037f36b4e9420157e67e45a8709a80d727f52c7da2"},
-    {file = "scikit_image-0.25.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:7efa888130f6c548ec0439b1a7ed7295bc10105458a421e9bf739b457730b6da"},
-    {file = "scikit_image-0.25.2-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:dd8011efe69c3641920614d550f5505f83658fe33581e49bed86feab43a180fc"},
-    {file = "scikit_image-0.25.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:28182a9d3e2ce3c2e251383bdda68f8d88d9fff1a3ebe1eb61206595c9773341"},
-    {file = "scikit_image-0.25.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8abd3c805ce6944b941cfed0406d88faeb19bab3ed3d4b50187af55cf24d147"},
-    {file = "scikit_image-0.25.2-cp313-cp313-win_amd64.whl", hash = "sha256:64785a8acefee460ec49a354706db0b09d1f325674107d7fa3eadb663fb56d6f"},
-    {file = "scikit_image-0.25.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:330d061bd107d12f8d68f1d611ae27b3b813b8cdb0300a71d07b1379178dd4cd"},
-    {file = "scikit_image-0.25.2.tar.gz", hash = "sha256:e5a37e6cd4d0c018a7a55b9d601357e3382826d3888c10d0213fc63bff977dde"},
-]
-
-[package.dependencies]
-imageio = ">=2.33,<2.35.0 || >2.35.0"
-lazy-loader = ">=0.4"
-networkx = ">=3.0"
-numpy = ">=1.24"
-packaging = ">=21"
-pillow = ">=10.1"
-scipy = ">=1.11.4"
-tifffile = ">=2022.8.12"
-
-[package.extras]
-build = ["Cython (>=3.0.8)", "build (>=1.2.1)", "meson-python (>=0.16)", "ninja (>=1.11.1.1)", "numpy (>=2.0)", "pythran (>=0.16)", "spin (==0.13)"]
-data = ["pooch (>=1.6.0)"]
-developer = ["ipython", "pre-commit", "tomli ; python_version < \"3.11\""]
-docs = ["PyWavelets (>=1.6)", "dask[array] (>=2023.2.0)", "intersphinx-registry (>=0.2411.14)", "ipykernel", "ipywidgets", "kaleido (==0.2.1)", "matplotlib (>=3.7)", "myst-parser", "numpydoc (>=1.7)", "pandas (>=2.0)", "plotly (>=5.20)", "pooch (>=1.6)", "pydata-sphinx-theme (>=0.16)", "pytest-doctestplus", "scikit-learn (>=1.2)", "seaborn (>=0.11)", "sphinx (>=8.0)", "sphinx-copybutton", "sphinx-gallery[parallel] (>=0.18)", "sphinx_design (>=0.5)", "tifffile (>=2022.8.12)"]
-optional = ["PyWavelets (>=1.6)", "SimpleITK", "astropy (>=5.0)", "cloudpickle (>=1.1.1)", "dask[array] (>=2023.2.0)", "matplotlib (>=3.7)", "pooch (>=1.6.0)", "pyamg (>=5.2)", "scikit-learn (>=1.2)"]
-test = ["asv", "numpydoc (>=1.7)", "pooch (>=1.6.0)", "pytest (>=8)", "pytest-cov (>=2.11.0)", "pytest-doctestplus", "pytest-faulthandler", "pytest-localserver"]
-
-[[package]]
-name = "scikit-image"
-version = "0.26.0"
-description = "Image processing in Python"
-optional = false
-python-versions = ">=3.11"
-groups = ["main"]
-markers = "python_version >= \"3.11\""
-files = [
-    {file = "scikit_image-0.26.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b1ede33a0fb3731457eaf53af6361e73dd510f449dac437ab54573b26788baf0"},
-    {file = "scikit_image-0.26.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7af7aa331c6846bd03fa28b164c18d0c3fd419dbb888fb05e958ac4257a78fdd"},
-    {file = "scikit_image-0.26.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9ea6207d9e9d21c3f464efe733121c0504e494dbdc7728649ff3e23c3c5a4953"},
-    {file = "scikit_image-0.26.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:74aa5518ccea28121f57a95374581d3b979839adc25bb03f289b1bc9b99c58af"},
-    {file = "scikit_image-0.26.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d5c244656de905e195a904e36dbc18585e06ecf67d90f0482cbde63d7f9ad59d"},
-    {file = "scikit_image-0.26.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:21a818ee6ca2f2131b9e04d8eb7637b5c18773ebe7b399ad23dcc5afaa226d2d"},
-    {file = "scikit_image-0.26.0-cp311-cp311-win_amd64.whl", hash = "sha256:9490360c8d3f9a7e85c8de87daf7c0c66507960cf4947bb9610d1751928721c7"},
-    {file = "scikit_image-0.26.0-cp311-cp311-win_arm64.whl", hash = "sha256:0baa0108d2d027f34d748e84e592b78acc23e965a5de0e4bb03cf371de5c0581"},
-    {file = "scikit_image-0.26.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d454b93a6fa770ac5ae2d33570f8e7a321bb80d29511ce4b6b78058ebe176e8c"},
-    {file = "scikit_image-0.26.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3409e89d66eff5734cd2b672d1c48d2759360057e714e1d92a11df82c87cba37"},
-    {file = "scikit_image-0.26.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4c717490cec9e276afb0438dd165b7c3072d6c416709cc0f9f5a4c1070d23a44"},
-    {file = "scikit_image-0.26.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7df650e79031634ac90b11e64a9eedaf5a5e06fcd09bcd03a34be01745744466"},
-    {file = "scikit_image-0.26.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:cefd85033e66d4ea35b525bb0937d7f42d4cdcfed2d1888e1570d5ce450d3932"},
-    {file = "scikit_image-0.26.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3f5bf622d7c0435884e1e141ebbe4b2804e16b2dd23ae4c6183e2ea99233be70"},
-    {file = "scikit_image-0.26.0-cp312-cp312-win_amd64.whl", hash = "sha256:abed017474593cd3056ae0fe948d07d0747b27a085e92df5474f4955dd65aec0"},
-    {file = "scikit_image-0.26.0-cp312-cp312-win_arm64.whl", hash = "sha256:4d57e39ef67a95d26860c8caf9b14b8fb130f83b34c6656a77f191fa6d1d04d8"},
-    {file = "scikit_image-0.26.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:a2e852eccf41d2d322b8e60144e124802873a92b8d43a6f96331aa42888491c7"},
-    {file = "scikit_image-0.26.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:98329aab3bc87db352b9887f64ce8cdb8e75f7c2daa19927f2e121b797b678d5"},
-    {file = "scikit_image-0.26.0-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:915bb3ba66455cf8adac00dc8fdf18a4cd29656aec7ddd38cb4dda90289a6f21"},
-    {file = "scikit_image-0.26.0-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b36ab5e778bf50af5ff386c3ac508027dc3aaeccf2161bdf96bde6848f44d21b"},
-    {file = "scikit_image-0.26.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:09bad6a5d5949c7896c8347424c4cca899f1d11668030e5548813ab9c2865dcb"},
-    {file = "scikit_image-0.26.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:aeb14db1ed09ad4bee4ceb9e635547a8d5f3549be67fc6c768c7f923e027e6cd"},
-    {file = "scikit_image-0.26.0-cp313-cp313-win_amd64.whl", hash = "sha256:ac529eb9dbd5954f9aaa2e3fe9a3fd9661bfe24e134c688587d811a0233127f1"},
-    {file = "scikit_image-0.26.0-cp313-cp313-win_arm64.whl", hash = "sha256:a2d211bc355f59725efdcae699b93b30348a19416cc9e017f7b2fb599faf7219"},
-    {file = "scikit_image-0.26.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:9eefb4adad066da408a7601c4c24b07af3b472d90e08c3e7483d4e9e829d8c49"},
-    {file = "scikit_image-0.26.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:6caec76e16c970c528d15d1c757363334d5cb3069f9cea93d2bead31820511f3"},
-    {file = "scikit_image-0.26.0-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a07200fe09b9d99fcdab959859fe0f7db8df6333d6204344425d476850ce3604"},
-    {file = "scikit_image-0.26.0-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:92242351bccf391fc5df2d1529d15470019496d2498d615beb68da85fe7fdf37"},
-    {file = "scikit_image-0.26.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:52c496f75a7e45844d951557f13c08c81487c6a1da2e3c9c8a39fcde958e02cc"},
-    {file = "scikit_image-0.26.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:20ef4a155e2e78b8ab973998e04d8a361d49d719e65412405f4dadd9155a61d9"},
-    {file = "scikit_image-0.26.0-cp313-cp313t-win_amd64.whl", hash = "sha256:c9087cf7d0e7f33ab5c46d2068d86d785e70b05400a891f73a13400f1e1faf6a"},
-    {file = "scikit_image-0.26.0-cp313-cp313t-win_arm64.whl", hash = "sha256:27d58bc8b2acd351f972c6508c1b557cfed80299826080a4d803dd29c51b707e"},
-    {file = "scikit_image-0.26.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:63af3d3a26125f796f01052052f86806da5b5e54c6abef152edb752683075a9c"},
-    {file = "scikit_image-0.26.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:ce00600cd70d4562ed59f80523e18cdcc1fae0e10676498a01f73c255774aefd"},
-    {file = "scikit_image-0.26.0-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6381edf972b32e4f54085449afde64365a57316637496c1325a736987083e2ab"},
-    {file = "scikit_image-0.26.0-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c6624a76c6085218248154cc7e1500e6b488edcd9499004dd0d35040607d7505"},
-    {file = "scikit_image-0.26.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:f775f0e420faac9c2aa6757135f4eb468fb7b70e0b67fa77a5e79be3c30ee331"},
-    {file = "scikit_image-0.26.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:ede4d6d255cc5da9faeb2f9ba7fedbc990abbc652db429f40a16b22e770bb578"},
-    {file = "scikit_image-0.26.0-cp314-cp314-win_amd64.whl", hash = "sha256:0660b83968c15293fd9135e8d860053ee19500d52bf55ca4fb09de595a1af650"},
-    {file = "scikit_image-0.26.0-cp314-cp314-win_arm64.whl", hash = "sha256:b8d14d3181c21c11170477a42542c1addc7072a90b986675a71266ad17abc37f"},
-    {file = "scikit_image-0.26.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:cde0bbd57e6795eba83cb10f71a677f7239271121dc950bc060482834a668ad1"},
-    {file = "scikit_image-0.26.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:163e9afb5b879562b9aeda0dd45208a35316f26cc7a3aed54fd601604e5cf46f"},
-    {file = "scikit_image-0.26.0-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:724f79fd9b6cb6f4a37864fe09f81f9f5d5b9646b6868109e1b100d1a7019e59"},
-    {file = "scikit_image-0.26.0-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3268f13310e6857508bd87202620df996199a016a1d281b309441d227c822394"},
-    {file = "scikit_image-0.26.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:fac96a1f9b06cd771cbbb3cd96c5332f36d4efd839b1d8b053f79e5887acde62"},
-    {file = "scikit_image-0.26.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:2c1e7bd342f43e7a97e571b3f03ba4c1293ea1a35c3f13f41efdc8a81c1dc8f2"},
-    {file = "scikit_image-0.26.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b702c3bb115e1dcf4abf5297429b5c90f2189655888cbed14921f3d26f81d3a4"},
-    {file = "scikit_image-0.26.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0608aa4a9ec39e0843de10d60edb2785a30c1c47819b67866dd223ebd149acaf"},
-    {file = "scikit_image-0.26.0.tar.gz", hash = "sha256:f5f970ab04efad85c24714321fcc91613fcb64ef2a892a13167df2f3e59199fa"},
-]
-
-[package.dependencies]
-imageio = ">=2.33,<2.35.0 || >2.35.0"
-lazy-loader = ">=0.4"
-networkx = ">=3.0"
-numpy = ">=1.24"
-packaging = ">=21"
-pillow = ">=10.1"
-scipy = ">=1.11.4"
-tifffile = ">=2022.8.12"
-
-[package.extras]
-asv = ["asv ; sys_platform != \"emscripten\""]
-build = ["Cython (>=3.0.8,!=3.2.0b1)", "build (>=1.2.1)", "meson-python (>=0.16)", "ninja (>=1.11.1.1)", "numpy (>=2.0)", "pythran (>=0.16)", "spin (==0.13)"]
-data = ["pooch (>=1.6.0)"]
-developer = ["docstub (==0.3.0.post0)", "ipython", "pre-commit", "scikit-image[asv]"]
-docs = ["PyWavelets (>=1.6)", "dask[array] (>=2023.2.0)", "intersphinx-registry (>=0.2411.14)", "ipykernel", "ipywidgets", "kaleido (==0.2.1)", "matplotlib (>=3.7)", "myst-parser", "numpydoc (>=1.7)", "pandas (>=2.0)", "plotly (>=5.20)", "pooch (>=1.6)", "pydata-sphinx-theme (>=0.16)", "pytest-doctestplus (>=1.6.0)", "scikit-learn (>=1.2)", "seaborn (>=0.11)", "sphinx (>=8.0)", "sphinx-copybutton", "sphinx-gallery[parallel] (>=0.18)", "sphinx_design (>=0.5)", "tifffile (>=2022.8.12)"]
-optional = ["SimpleITK ; sys_platform != \"emscripten\"", "pyamg (>=5.2) ; sys_platform != \"emscripten\" and python_version < \"3.14\"", "scikit-image[optional-free-threaded]", "scikit-learn (>=1.2)"]
-optional-free-threaded = ["PyWavelets (>=1.6)", "astropy (>=6.0)", "dask[array] (>=2023.2.0)", "matplotlib (>=3.7)", "pooch (>=1.6.0) ; sys_platform != \"emscripten\""]
-test = ["numpydoc (>=1.7)", "pooch (>=1.6.0) ; sys_platform != \"emscripten\"", "pytest (>=8.3)", "pytest-cov (>=2.11.0)", "pytest-doctestplus (>=1.6.0)", "pytest-faulthandler", "pytest-localserver", "pytest-pretty"]
-
-[[package]]
-name = "scikit-learn"
-version = "1.7.2"
-description = "A set of python modules for machine learning and data mining"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "scikit_learn-1.7.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6b33579c10a3081d076ab403df4a4190da4f4432d443521674637677dc91e61f"},
-    {file = "scikit_learn-1.7.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:36749fb62b3d961b1ce4fedf08fa57a1986cd409eff2d783bca5d4b9b5fce51c"},
-    {file = "scikit_learn-1.7.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7a58814265dfc52b3295b1900cfb5701589d30a8bb026c7540f1e9d3499d5ec8"},
-    {file = "scikit_learn-1.7.2-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4a847fea807e278f821a0406ca01e387f97653e284ecbd9750e3ee7c90347f18"},
-    {file = "scikit_learn-1.7.2-cp310-cp310-win_amd64.whl", hash = "sha256:ca250e6836d10e6f402436d6463d6c0e4d8e0234cfb6a9a47835bd392b852ce5"},
-    {file = "scikit_learn-1.7.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c7509693451651cd7361d30ce4e86a1347493554f172b1c72a39300fa2aea79e"},
-    {file = "scikit_learn-1.7.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:0486c8f827c2e7b64837c731c8feff72c0bd2b998067a8a9cbc10643c31f0fe1"},
-    {file = "scikit_learn-1.7.2-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:89877e19a80c7b11a2891a27c21c4894fb18e2c2e077815bcade10d34287b20d"},
-    {file = "scikit_learn-1.7.2-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8da8bf89d4d79aaec192d2bda62f9b56ae4e5b4ef93b6a56b5de4977e375c1f1"},
-    {file = "scikit_learn-1.7.2-cp311-cp311-win_amd64.whl", hash = "sha256:9b7ed8d58725030568523e937c43e56bc01cadb478fc43c042a9aca1dacb3ba1"},
-    {file = "scikit_learn-1.7.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:8d91a97fa2b706943822398ab943cde71858a50245e31bc71dba62aab1d60a96"},
-    {file = "scikit_learn-1.7.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:acbc0f5fd2edd3432a22c69bed78e837c70cf896cd7993d71d51ba6708507476"},
-    {file = "scikit_learn-1.7.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e5bf3d930aee75a65478df91ac1225ff89cd28e9ac7bd1196853a9229b6adb0b"},
-    {file = "scikit_learn-1.7.2-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b4d6e9deed1a47aca9fe2f267ab8e8fe82ee20b4526b2c0cd9e135cea10feb44"},
-    {file = "scikit_learn-1.7.2-cp312-cp312-win_amd64.whl", hash = "sha256:6088aa475f0785e01bcf8529f55280a3d7d298679f50c0bb70a2364a82d0b290"},
-    {file = "scikit_learn-1.7.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0b7dacaa05e5d76759fb071558a8b5130f4845166d88654a0f9bdf3eb57851b7"},
-    {file = "scikit_learn-1.7.2-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:abebbd61ad9e1deed54cca45caea8ad5f79e1b93173dece40bb8e0c658dbe6fe"},
-    {file = "scikit_learn-1.7.2-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:502c18e39849c0ea1a5d681af1dbcf15f6cce601aebb657aabbfe84133c1907f"},
-    {file = "scikit_learn-1.7.2-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7a4c328a71785382fe3fe676a9ecf2c86189249beff90bf85e22bdb7efaf9ae0"},
-    {file = "scikit_learn-1.7.2-cp313-cp313-win_amd64.whl", hash = "sha256:63a9afd6f7b229aad94618c01c252ce9e6fa97918c5ca19c9a17a087d819440c"},
-    {file = "scikit_learn-1.7.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:9acb6c5e867447b4e1390930e3944a005e2cb115922e693c08a323421a6966e8"},
-    {file = "scikit_learn-1.7.2-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:2a41e2a0ef45063e654152ec9d8bcfc39f7afce35b08902bfe290c2498a67a6a"},
-    {file = "scikit_learn-1.7.2-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:98335fb98509b73385b3ab2bd0639b1f610541d3988ee675c670371d6a87aa7c"},
-    {file = "scikit_learn-1.7.2-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:191e5550980d45449126e23ed1d5e9e24b2c68329ee1f691a3987476e115e09c"},
-    {file = "scikit_learn-1.7.2-cp313-cp313t-win_amd64.whl", hash = "sha256:57dc4deb1d3762c75d685507fbd0bc17160144b2f2ba4ccea5dc285ab0d0e973"},
-    {file = "scikit_learn-1.7.2-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fa8f63940e29c82d1e67a45d5297bdebbcb585f5a5a50c4914cc2e852ab77f33"},
-    {file = "scikit_learn-1.7.2-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:f95dc55b7902b91331fa4e5845dd5bde0580c9cd9612b1b2791b7e80c3d32615"},
-    {file = "scikit_learn-1.7.2-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9656e4a53e54578ad10a434dc1f993330568cfee176dff07112b8785fb413106"},
-    {file = "scikit_learn-1.7.2-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:96dc05a854add0e50d3f47a1ef21a10a595016da5b007c7d9cd9d0bffd1fcc61"},
-    {file = "scikit_learn-1.7.2-cp314-cp314-win_amd64.whl", hash = "sha256:bb24510ed3f9f61476181e4db51ce801e2ba37541def12dc9333b946fc7a9cf8"},
-    {file = "scikit_learn-1.7.2.tar.gz", hash = "sha256:20e9e49ecd130598f1ca38a1d85090e1a600147b9c02fa6f15d69cb53d968fda"},
-]
-
-[package.dependencies]
-joblib = ">=1.2.0"
-numpy = ">=1.22.0"
-scipy = ">=1.8.0"
-threadpoolctl = ">=3.1.0"
-
-[package.extras]
-benchmark = ["matplotlib (>=3.5.0)", "memory_profiler (>=0.57.0)", "pandas (>=1.4.0)"]
-build = ["cython (>=3.0.10)", "meson-python (>=0.17.1)", "numpy (>=1.22.0)", "scipy (>=1.8.0)"]
-docs = ["Pillow (>=8.4.0)", "matplotlib (>=3.5.0)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.4.0)", "plotly (>=5.14.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.19.0)", "seaborn (>=0.9.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.5.0)", "sphinx-design (>=0.6.0)", "sphinx-gallery (>=0.17.1)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)", "towncrier (>=24.8.0)"]
-examples = ["matplotlib (>=3.5.0)", "pandas (>=1.4.0)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.19.0)", "seaborn (>=0.9.0)"]
-install = ["joblib (>=1.2.0)", "numpy (>=1.22.0)", "scipy (>=1.8.0)", "threadpoolctl (>=3.1.0)"]
-maintenance = ["conda-lock (==3.0.1)"]
-tests = ["matplotlib (>=3.5.0)", "mypy (>=1.15)", "numpydoc (>=1.2.0)", "pandas (>=1.4.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pyamg (>=4.2.1)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.11.7)", "scikit-image (>=0.19.0)"]
-
-[[package]]
-name = "scikit-learn"
-version = "1.8.0"
-description = "A set of python modules for machine learning and data mining"
-optional = false
-python-versions = ">=3.11"
-groups = ["main"]
-markers = "python_version >= \"3.11\""
-files = [
-    {file = "scikit_learn-1.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:146b4d36f800c013d267b29168813f7a03a43ecd2895d04861f1240b564421da"},
-    {file = "scikit_learn-1.8.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:f984ca4b14914e6b4094c5d52a32ea16b49832c03bd17a110f004db3c223e8e1"},
-    {file = "scikit_learn-1.8.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5e30adb87f0cc81c7690a84f7932dd66be5bac57cfe16b91cb9151683a4a2d3b"},
-    {file = "scikit_learn-1.8.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ada8121bcb4dac28d930febc791a69f7cb1673c8495e5eee274190b73a4559c1"},
-    {file = "scikit_learn-1.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:c57b1b610bd1f40ba43970e11ce62821c2e6569e4d74023db19c6b26f246cb3b"},
-    {file = "scikit_learn-1.8.0-cp311-cp311-win_arm64.whl", hash = "sha256:2838551e011a64e3053ad7618dda9310175f7515f1742fa2d756f7c874c05961"},
-    {file = "scikit_learn-1.8.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:5fb63362b5a7ddab88e52b6dbb47dac3fd7dafeee740dc6c8d8a446ddedade8e"},
-    {file = "scikit_learn-1.8.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:5025ce924beccb28298246e589c691fe1b8c1c96507e6d27d12c5fadd85bfd76"},
-    {file = "scikit_learn-1.8.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4496bb2cf7a43ce1a2d7524a79e40bc5da45cf598dbf9545b7e8316ccba47bb4"},
-    {file = "scikit_learn-1.8.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a0bcfe4d0d14aec44921545fd2af2338c7471de9cb701f1da4c9d85906ab847a"},
-    {file = "scikit_learn-1.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:35c007dedb2ffe38fe3ee7d201ebac4a2deccd2408e8621d53067733e3c74809"},
-    {file = "scikit_learn-1.8.0-cp312-cp312-win_arm64.whl", hash = "sha256:8c497fff237d7b4e07e9ef1a640887fa4fb765647f86fbe00f969ff6280ce2bb"},
-    {file = "scikit_learn-1.8.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0d6ae97234d5d7079dc0040990a6f7aeb97cb7fa7e8945f1999a429b23569e0a"},
-    {file = "scikit_learn-1.8.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:edec98c5e7c128328124a029bceb09eda2d526997780fef8d65e9a69eead963e"},
-    {file = "scikit_learn-1.8.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:74b66d8689d52ed04c271e1329f0c61635bcaf5b926db9b12d58914cdc01fe57"},
-    {file = "scikit_learn-1.8.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8fdf95767f989b0cfedb85f7ed8ca215d4be728031f56ff5a519ee1e3276dc2e"},
-    {file = "scikit_learn-1.8.0-cp313-cp313-win_amd64.whl", hash = "sha256:2de443b9373b3b615aec1bb57f9baa6bb3a9bd093f1269ba95c17d870422b271"},
-    {file = "scikit_learn-1.8.0-cp313-cp313-win_arm64.whl", hash = "sha256:eddde82a035681427cbedded4e6eff5e57fa59216c2e3e90b10b19ab1d0a65c3"},
-    {file = "scikit_learn-1.8.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:7cc267b6108f0a1499a734167282c00c4ebf61328566b55ef262d48e9849c735"},
-    {file = "scikit_learn-1.8.0-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:fe1c011a640a9f0791146011dfd3c7d9669785f9fed2b2a5f9e207536cf5c2fd"},
-    {file = "scikit_learn-1.8.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:72358cce49465d140cc4e7792015bb1f0296a9742d5622c67e31399b75468b9e"},
-    {file = "scikit_learn-1.8.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:80832434a6cc114f5219211eec13dcbc16c2bac0e31ef64c6d346cde3cf054cb"},
-    {file = "scikit_learn-1.8.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ee787491dbfe082d9c3013f01f5991658b0f38aa8177e4cd4bf434c58f551702"},
-    {file = "scikit_learn-1.8.0-cp313-cp313t-win_arm64.whl", hash = "sha256:bf97c10a3f5a7543f9b88cbf488d33d175e9146115a451ae34568597ba33dcde"},
-    {file = "scikit_learn-1.8.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:c22a2da7a198c28dd1a6e1136f19c830beab7fdca5b3e5c8bba8394f8a5c45b3"},
-    {file = "scikit_learn-1.8.0-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:6b595b07a03069a2b1740dc08c2299993850ea81cce4fe19b2421e0c970de6b7"},
-    {file = "scikit_learn-1.8.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:29ffc74089f3d5e87dfca4c2c8450f88bdc61b0fc6ed5d267f3988f19a1309f6"},
-    {file = "scikit_learn-1.8.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fb65db5d7531bccf3a4f6bec3462223bea71384e2cda41da0f10b7c292b9e7c4"},
-    {file = "scikit_learn-1.8.0-cp314-cp314-win_amd64.whl", hash = "sha256:56079a99c20d230e873ea40753102102734c5953366972a71d5cb39a32bc40c6"},
-    {file = "scikit_learn-1.8.0-cp314-cp314-win_arm64.whl", hash = "sha256:3bad7565bc9cf37ce19a7c0d107742b320c1285df7aab1a6e2d28780df167242"},
-    {file = "scikit_learn-1.8.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:4511be56637e46c25721e83d1a9cea9614e7badc7040c4d573d75fbe257d6fd7"},
-    {file = "scikit_learn-1.8.0-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:a69525355a641bf8ef136a7fa447672fb54fe8d60cab5538d9eb7c6438543fb9"},
-    {file = "scikit_learn-1.8.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c2656924ec73e5939c76ac4c8b026fc203b83d8900362eb2599d8aee80e4880f"},
-    {file = "scikit_learn-1.8.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:15fc3b5d19cc2be65404786857f2e13c70c83dd4782676dd6814e3b89dc8f5b9"},
-    {file = "scikit_learn-1.8.0-cp314-cp314t-win_amd64.whl", hash = "sha256:00d6f1d66fbcf4eba6e356e1420d33cc06c70a45bb1363cd6f6a8e4ebbbdece2"},
-    {file = "scikit_learn-1.8.0-cp314-cp314t-win_arm64.whl", hash = "sha256:f28dd15c6bb0b66ba09728cf09fd8736c304be29409bd8445a080c1280619e8c"},
-    {file = "scikit_learn-1.8.0.tar.gz", hash = "sha256:9bccbb3b40e3de10351f8f5068e105d0f4083b1a65fa07b6634fbc401a6287fd"},
-]
-
-[package.dependencies]
-joblib = ">=1.3.0"
-numpy = ">=1.24.1"
-scipy = ">=1.10.0"
-threadpoolctl = ">=3.2.0"
-
-[package.extras]
-benchmark = ["matplotlib (>=3.6.1)", "memory_profiler (>=0.57.0)", "pandas (>=1.5.0)"]
-build = ["cython (>=3.1.2)", "meson-python (>=0.17.1)", "numpy (>=1.24.1)", "scipy (>=1.10.0)"]
-docs = ["Pillow (>=10.1.0)", "matplotlib (>=3.6.1)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.5.0)", "plotly (>=5.18.0)", "polars (>=0.20.30)", "pooch (>=1.8.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.22.0)", "seaborn (>=0.13.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.6.0)", "sphinx-gallery (>=0.17.1)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)", "towncrier (>=24.8.0)"]
-examples = ["matplotlib (>=3.6.1)", "pandas (>=1.5.0)", "plotly (>=5.18.0)", "pooch (>=1.8.0)", "scikit-image (>=0.22.0)", "seaborn (>=0.13.0)"]
-install = ["joblib (>=1.3.0)", "numpy (>=1.24.1)", "scipy (>=1.10.0)", "threadpoolctl (>=3.2.0)"]
-maintenance = ["conda-lock (==3.0.1)"]
-tests = ["matplotlib (>=3.6.1)", "mypy (>=1.15)", "numpydoc (>=1.2.0)", "pandas (>=1.5.0)", "polars (>=0.20.30)", "pooch (>=1.8.0)", "pyamg (>=5.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.11.7)"]
-
-[[package]]
-name = "scipy"
-version = "1.15.3"
-description = "Fundamental algorithms for scientific computing in Python"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a345928c86d535060c9c2b25e71e87c39ab2f22fc96e9636bd74d1dbf9de448c"},
-    {file = "scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:ad3432cb0f9ed87477a8d97f03b763fd1d57709f1bbde3c9369b1dff5503b253"},
-    {file = "scipy-1.15.3-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:aef683a9ae6eb00728a542b796f52a5477b78252edede72b8327a886ab63293f"},
-    {file = "scipy-1.15.3-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:1c832e1bd78dea67d5c16f786681b28dd695a8cb1fb90af2e27580d3d0967e92"},
-    {file = "scipy-1.15.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:263961f658ce2165bbd7b99fa5135195c3a12d9bef045345016b8b50c315cb82"},
-    {file = "scipy-1.15.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e2abc762b0811e09a0d3258abee2d98e0c703eee49464ce0069590846f31d40"},
-    {file = "scipy-1.15.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ed7284b21a7a0c8f1b6e5977ac05396c0d008b89e05498c8b7e8f4a1423bba0e"},
-    {file = "scipy-1.15.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:5380741e53df2c566f4d234b100a484b420af85deb39ea35a1cc1be84ff53a5c"},
-    {file = "scipy-1.15.3-cp310-cp310-win_amd64.whl", hash = "sha256:9d61e97b186a57350f6d6fd72640f9e99d5a4a2b8fbf4b9ee9a841eab327dc13"},
-    {file = "scipy-1.15.3-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:993439ce220d25e3696d1b23b233dd010169b62f6456488567e830654ee37a6b"},
-    {file = "scipy-1.15.3-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:34716e281f181a02341ddeaad584205bd2fd3c242063bd3423d61ac259ca7eba"},
-    {file = "scipy-1.15.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3b0334816afb8b91dab859281b1b9786934392aa3d527cd847e41bb6f45bee65"},
-    {file = "scipy-1.15.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:6db907c7368e3092e24919b5e31c76998b0ce1684d51a90943cb0ed1b4ffd6c1"},
-    {file = "scipy-1.15.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:721d6b4ef5dc82ca8968c25b111e307083d7ca9091bc38163fb89243e85e3889"},
-    {file = "scipy-1.15.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39cb9c62e471b1bb3750066ecc3a3f3052b37751c7c3dfd0fd7e48900ed52982"},
-    {file = "scipy-1.15.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:795c46999bae845966368a3c013e0e00947932d68e235702b5c3f6ea799aa8c9"},
-    {file = "scipy-1.15.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:18aaacb735ab38b38db42cb01f6b92a2d0d4b6aabefeb07f02849e47f8fb3594"},
-    {file = "scipy-1.15.3-cp311-cp311-win_amd64.whl", hash = "sha256:ae48a786a28412d744c62fd7816a4118ef97e5be0bee968ce8f0a2fba7acf3bb"},
-    {file = "scipy-1.15.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6ac6310fdbfb7aa6612408bd2f07295bcbd3fda00d2d702178434751fe48e019"},
-    {file = "scipy-1.15.3-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:185cd3d6d05ca4b44a8f1595af87f9c372bb6acf9c808e99aa3e9aa03bd98cf6"},
-    {file = "scipy-1.15.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:05dc6abcd105e1a29f95eada46d4a3f251743cfd7d3ae8ddb4088047f24ea477"},
-    {file = "scipy-1.15.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:06efcba926324df1696931a57a176c80848ccd67ce6ad020c810736bfd58eb1c"},
-    {file = "scipy-1.15.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c05045d8b9bfd807ee1b9f38761993297b10b245f012b11b13b91ba8945f7e45"},
-    {file = "scipy-1.15.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:271e3713e645149ea5ea3e97b57fdab61ce61333f97cfae392c28ba786f9bb49"},
-    {file = "scipy-1.15.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6cfd56fc1a8e53f6e89ba3a7a7251f7396412d655bca2aa5611c8ec9a6784a1e"},
-    {file = "scipy-1.15.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0ff17c0bb1cb32952c09217d8d1eed9b53d1463e5f1dd6052c7857f83127d539"},
-    {file = "scipy-1.15.3-cp312-cp312-win_amd64.whl", hash = "sha256:52092bc0472cfd17df49ff17e70624345efece4e1a12b23783a1ac59a1b728ed"},
-    {file = "scipy-1.15.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:2c620736bcc334782e24d173c0fdbb7590a0a436d2fdf39310a8902505008759"},
-    {file = "scipy-1.15.3-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:7e11270a000969409d37ed399585ee530b9ef6aa99d50c019de4cb01e8e54e62"},
-    {file = "scipy-1.15.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:8c9ed3ba2c8a2ce098163a9bdb26f891746d02136995df25227a20e71c396ebb"},
-    {file = "scipy-1.15.3-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:0bdd905264c0c9cfa74a4772cdb2070171790381a5c4d312c973382fc6eaf730"},
-    {file = "scipy-1.15.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79167bba085c31f38603e11a267d862957cbb3ce018d8b38f79ac043bc92d825"},
-    {file = "scipy-1.15.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9deabd6d547aee2c9a81dee6cc96c6d7e9a9b1953f74850c179f91fdc729cb7"},
-    {file = "scipy-1.15.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:dde4fc32993071ac0c7dd2d82569e544f0bdaff66269cb475e0f369adad13f11"},
-    {file = "scipy-1.15.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f77f853d584e72e874d87357ad70f44b437331507d1c311457bed8ed2b956126"},
-    {file = "scipy-1.15.3-cp313-cp313-win_amd64.whl", hash = "sha256:b90ab29d0c37ec9bf55424c064312930ca5f4bde15ee8619ee44e69319aab163"},
-    {file = "scipy-1.15.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:3ac07623267feb3ae308487c260ac684b32ea35fd81e12845039952f558047b8"},
-    {file = "scipy-1.15.3-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:6487aa99c2a3d509a5227d9a5e889ff05830a06b2ce08ec30df6d79db5fcd5c5"},
-    {file = "scipy-1.15.3-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:50f9e62461c95d933d5c5ef4a1f2ebf9a2b4e83b0db374cb3f1de104d935922e"},
-    {file = "scipy-1.15.3-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:14ed70039d182f411ffc74789a16df3835e05dc469b898233a245cdfd7f162cb"},
-    {file = "scipy-1.15.3-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a769105537aa07a69468a0eefcd121be52006db61cdd8cac8a0e68980bbb723"},
-    {file = "scipy-1.15.3-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9db984639887e3dffb3928d118145ffe40eff2fa40cb241a306ec57c219ebbbb"},
-    {file = "scipy-1.15.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:40e54d5c7e7ebf1aa596c374c49fa3135f04648a0caabcb66c52884b943f02b4"},
-    {file = "scipy-1.15.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:5e721fed53187e71d0ccf382b6bf977644c533e506c4d33c3fb24de89f5c3ed5"},
-    {file = "scipy-1.15.3-cp313-cp313t-win_amd64.whl", hash = "sha256:76ad1fb5f8752eabf0fa02e4cc0336b4e8f021e2d5f061ed37d6d264db35e3ca"},
-    {file = "scipy-1.15.3.tar.gz", hash = "sha256:eae3cf522bc7df64b42cad3925c876e1b0b6c35c1337c93e12c0f366f55b0eaf"},
-]
-
-[package.dependencies]
-numpy = ">=1.23.5,<2.5"
-
-[package.extras]
-dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"]
-doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.19.1)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.0.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"]
-test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja ; sys_platform != \"emscripten\"", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
-
-[[package]]
-name = "scipy"
-version = "1.16.3"
-description = "Fundamental algorithms for scientific computing in Python"
-optional = false
-python-versions = ">=3.11"
-groups = ["main"]
-markers = "python_version >= \"3.11\""
-files = [
-    {file = "scipy-1.16.3-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:40be6cf99e68b6c4321e9f8782e7d5ff8265af28ef2cd56e9c9b2638fa08ad97"},
-    {file = "scipy-1.16.3-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:8be1ca9170fcb6223cc7c27f4305d680ded114a1567c0bd2bfcbf947d1b17511"},
-    {file = "scipy-1.16.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:bea0a62734d20d67608660f69dcda23e7f90fb4ca20974ab80b6ed40df87a005"},
-    {file = "scipy-1.16.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:2a207a6ce9c24f1951241f4693ede2d393f59c07abc159b2cb2be980820e01fb"},
-    {file = "scipy-1.16.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:532fb5ad6a87e9e9cd9c959b106b73145a03f04c7d57ea3e6f6bb60b86ab0876"},
-    {file = "scipy-1.16.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0151a0749efeaaab78711c78422d413c583b8cdd2011a3c1d6c794938ee9fdb2"},
-    {file = "scipy-1.16.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:b7180967113560cca57418a7bc719e30366b47959dd845a93206fbed693c867e"},
-    {file = "scipy-1.16.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:deb3841c925eeddb6afc1e4e4a45e418d19ec7b87c5df177695224078e8ec733"},
-    {file = "scipy-1.16.3-cp311-cp311-win_amd64.whl", hash = "sha256:53c3844d527213631e886621df5695d35e4f6a75f620dca412bcd292f6b87d78"},
-    {file = "scipy-1.16.3-cp311-cp311-win_arm64.whl", hash = "sha256:9452781bd879b14b6f055b26643703551320aa8d79ae064a71df55c00286a184"},
-    {file = "scipy-1.16.3-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:81fc5827606858cf71446a5e98715ba0e11f0dbc83d71c7409d05486592a45d6"},
-    {file = "scipy-1.16.3-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:c97176013d404c7346bf57874eaac5187d969293bf40497140b0a2b2b7482e07"},
-    {file = "scipy-1.16.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:2b71d93c8a9936046866acebc915e2af2e292b883ed6e2cbe5c34beb094b82d9"},
-    {file = "scipy-1.16.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:3d4a07a8e785d80289dfe66b7c27d8634a773020742ec7187b85ccc4b0e7b686"},
-    {file = "scipy-1.16.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0553371015692a898e1aa858fed67a3576c34edefa6b7ebdb4e9dde49ce5c203"},
-    {file = "scipy-1.16.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:72d1717fd3b5e6ec747327ce9bda32d5463f472c9dce9f54499e81fbd50245a1"},
-    {file = "scipy-1.16.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1fb2472e72e24d1530debe6ae078db70fb1605350c88a3d14bc401d6306dbffe"},
-    {file = "scipy-1.16.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:c5192722cffe15f9329a3948c4b1db789fbb1f05c97899187dcf009b283aea70"},
-    {file = "scipy-1.16.3-cp312-cp312-win_amd64.whl", hash = "sha256:56edc65510d1331dae01ef9b658d428e33ed48b4f77b1d51caf479a0253f96dc"},
-    {file = "scipy-1.16.3-cp312-cp312-win_arm64.whl", hash = "sha256:a8a26c78ef223d3e30920ef759e25625a0ecdd0d60e5a8818b7513c3e5384cf2"},
-    {file = "scipy-1.16.3-cp313-cp313-macosx_10_14_x86_64.whl", hash = "sha256:d2ec56337675e61b312179a1ad124f5f570c00f920cc75e1000025451b88241c"},
-    {file = "scipy-1.16.3-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:16b8bc35a4cc24db80a0ec836a9286d0e31b2503cb2fd7ff7fb0e0374a97081d"},
-    {file = "scipy-1.16.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:5803c5fadd29de0cf27fa08ccbfe7a9e5d741bf63e4ab1085437266f12460ff9"},
-    {file = "scipy-1.16.3-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:b81c27fc41954319a943d43b20e07c40bdcd3ff7cf013f4fb86286faefe546c4"},
-    {file = "scipy-1.16.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0c3b4dd3d9b08dbce0f3440032c52e9e2ab9f96ade2d3943313dfe51a7056959"},
-    {file = "scipy-1.16.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7dc1360c06535ea6116a2220f760ae572db9f661aba2d88074fe30ec2aa1ff88"},
-    {file = "scipy-1.16.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:663b8d66a8748051c3ee9c96465fb417509315b99c71550fda2591d7dd634234"},
-    {file = "scipy-1.16.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:eab43fae33a0c39006a88096cd7b4f4ef545ea0447d250d5ac18202d40b6611d"},
-    {file = "scipy-1.16.3-cp313-cp313-win_amd64.whl", hash = "sha256:062246acacbe9f8210de8e751b16fc37458213f124bef161a5a02c7a39284304"},
-    {file = "scipy-1.16.3-cp313-cp313-win_arm64.whl", hash = "sha256:50a3dbf286dbc7d84f176f9a1574c705f277cb6565069f88f60db9eafdbe3ee2"},
-    {file = "scipy-1.16.3-cp313-cp313t-macosx_10_14_x86_64.whl", hash = "sha256:fb4b29f4cf8cc5a8d628bc8d8e26d12d7278cd1f219f22698a378c3d67db5e4b"},
-    {file = "scipy-1.16.3-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:8d09d72dc92742988b0e7750bddb8060b0c7079606c0d24a8cc8e9c9c11f9079"},
-    {file = "scipy-1.16.3-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:03192a35e661470197556de24e7cb1330d84b35b94ead65c46ad6f16f6b28f2a"},
-    {file = "scipy-1.16.3-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:57d01cb6f85e34f0946b33caa66e892aae072b64b034183f3d87c4025802a119"},
-    {file = "scipy-1.16.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:96491a6a54e995f00a28a3c3badfff58fd093bf26cd5fb34a2188c8c756a3a2c"},
-    {file = "scipy-1.16.3-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cd13e354df9938598af2be05822c323e97132d5e6306b83a3b4ee6724c6e522e"},
-    {file = "scipy-1.16.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:63d3cdacb8a824a295191a723ee5e4ea7768ca5ca5f2838532d9f2e2b3ce2135"},
-    {file = "scipy-1.16.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e7efa2681ea410b10dde31a52b18b0154d66f2485328830e45fdf183af5aefc6"},
-    {file = "scipy-1.16.3-cp313-cp313t-win_amd64.whl", hash = "sha256:2d1ae2cf0c350e7705168ff2429962a89ad90c2d49d1dd300686d8b2a5af22fc"},
-    {file = "scipy-1.16.3-cp313-cp313t-win_arm64.whl", hash = "sha256:0c623a54f7b79dd88ef56da19bc2873afec9673a48f3b85b18e4d402bdd29a5a"},
-    {file = "scipy-1.16.3-cp314-cp314-macosx_10_14_x86_64.whl", hash = "sha256:875555ce62743e1d54f06cdf22c1e0bc47b91130ac40fe5d783b6dfa114beeb6"},
-    {file = "scipy-1.16.3-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:bb61878c18a470021fb515a843dc7a76961a8daceaaaa8bad1332f1bf4b54657"},
-    {file = "scipy-1.16.3-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:f2622206f5559784fa5c4b53a950c3c7c1cf3e84ca1b9c4b6c03f062f289ca26"},
-    {file = "scipy-1.16.3-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:7f68154688c515cdb541a31ef8eb66d8cd1050605be9dcd74199cbd22ac739bc"},
-    {file = "scipy-1.16.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:8b3c820ddb80029fe9f43d61b81d8b488d3ef8ca010d15122b152db77dc94c22"},
-    {file = "scipy-1.16.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d3837938ae715fc0fe3c39c0202de3a8853aff22ca66781ddc2ade7554b7e2cc"},
-    {file = "scipy-1.16.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:aadd23f98f9cb069b3bd64ddc900c4d277778242e961751f77a8cb5c4b946fb0"},
-    {file = "scipy-1.16.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:b7c5f1bda1354d6a19bc6af73a649f8285ca63ac6b52e64e658a5a11d4d69800"},
-    {file = "scipy-1.16.3-cp314-cp314-win_amd64.whl", hash = "sha256:e5d42a9472e7579e473879a1990327830493a7047506d58d73fc429b84c1d49d"},
-    {file = "scipy-1.16.3-cp314-cp314-win_arm64.whl", hash = "sha256:6020470b9d00245926f2d5bb93b119ca0340f0d564eb6fbaad843eaebf9d690f"},
-    {file = "scipy-1.16.3-cp314-cp314t-macosx_10_14_x86_64.whl", hash = "sha256:e1d27cbcb4602680a49d787d90664fa4974063ac9d4134813332a8c53dbe667c"},
-    {file = "scipy-1.16.3-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:9b9c9c07b6d56a35777a1b4cc8966118fb16cfd8daf6743867d17d36cfad2d40"},
-    {file = "scipy-1.16.3-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:3a4c460301fb2cffb7f88528f30b3127742cff583603aa7dc964a52c463b385d"},
-    {file = "scipy-1.16.3-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:f667a4542cc8917af1db06366d3f78a5c8e83badd56409f94d1eac8d8d9133fa"},
-    {file = "scipy-1.16.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:f379b54b77a597aa7ee5e697df0d66903e41b9c85a6dd7946159e356319158e8"},
-    {file = "scipy-1.16.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4aff59800a3b7f786b70bfd6ab551001cb553244988d7d6b8299cb1ea653b353"},
-    {file = "scipy-1.16.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:da7763f55885045036fabcebd80144b757d3db06ab0861415d1c3b7c69042146"},
-    {file = "scipy-1.16.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:ffa6eea95283b2b8079b821dc11f50a17d0571c92b43e2b5b12764dc5f9b285d"},
-    {file = "scipy-1.16.3-cp314-cp314t-win_amd64.whl", hash = "sha256:d9f48cafc7ce94cf9b15c6bffdc443a81a27bf7075cf2dcd5c8b40f85d10c4e7"},
-    {file = "scipy-1.16.3-cp314-cp314t-win_arm64.whl", hash = "sha256:21d9d6b197227a12dcbf9633320a4e34c6b0e51c57268df255a0942983bac562"},
-    {file = "scipy-1.16.3.tar.gz", hash = "sha256:01e87659402762f43bd2fee13370553a17ada367d42e7487800bf2916535aecb"},
-]
-
-[package.dependencies]
-numpy = ">=1.25.2,<2.6"
-
-[package.extras]
-dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"]
-doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.19.1)", "jupytext", "linkify-it-py", "matplotlib (>=3.5)", "myst-nb (>=1.2.0)", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.2.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"]
-test = ["Cython", "array-api-strict (>=2.3.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja ; sys_platform != \"emscripten\"", "pooch", "pytest (>=8.0.0)", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
-
-[[package]]
-name = "seaborn"
-version = "0.13.2"
-description = "Statistical data visualization"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "seaborn-0.13.2-py3-none-any.whl", hash = "sha256:636f8336facf092165e27924f223d3c62ca560b1f2bb5dff7ab7fad265361987"},
-    {file = "seaborn-0.13.2.tar.gz", hash = "sha256:93e60a40988f4d65e9f4885df477e2fdaff6b73a9ded434c1ab356dd57eefff7"},
-]
-
-[package.dependencies]
-matplotlib = ">=3.4,<3.6.1 || >3.6.1"
-numpy = ">=1.20,<1.24.0 || >1.24.0"
-pandas = ">=1.2"
-
-[package.extras]
-dev = ["flake8", "flit", "mypy", "pandas-stubs", "pre-commit", "pytest", "pytest-cov", "pytest-xdist"]
-docs = ["ipykernel", "nbconvert", "numpydoc", "pydata_sphinx_theme (==0.10.0rc2)", "pyyaml", "sphinx (<6.0.0)", "sphinx-copybutton", "sphinx-design", "sphinx-issues"]
-stats = ["scipy (>=1.7)", "statsmodels (>=0.12)"]
-
-[[package]]
-name = "send2trash"
-version = "2.1.0"
-description = "Send file to trash natively under Mac OS X, Windows and Linux"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "send2trash-2.1.0-py3-none-any.whl", hash = "sha256:0da2f112e6d6bb22de6aa6daa7e144831a4febf2a87261451c4ad849fe9a873c"},
-    {file = "send2trash-2.1.0.tar.gz", hash = "sha256:1c72b39f09457db3c05ce1d19158c2cbef4c32b8bedd02c155e49282b7ea7459"},
-]
-
-[package.extras]
-nativelib = ["pyobjc (>=9.0) ; sys_platform == \"darwin\"", "pywin32 (>=305) ; sys_platform == \"win32\""]
-test = ["pytest (>=8)"]
-
-[[package]]
-name = "setuptools"
-version = "80.10.2"
-description = "Easily download, build, install, upgrade, and uninstall Python packages"
-optional = false
-python-versions = ">=3.9"
-groups = ["main", "dev", "optim-torch", "shiny"]
-files = [
-    {file = "setuptools-80.10.2-py3-none-any.whl", hash = "sha256:95b30ddfb717250edb492926c92b5221f7ef3fbcc2b07579bcd4a27da21d0173"},
-    {file = "setuptools-80.10.2.tar.gz", hash = "sha256:8b0e9d10c784bf7d262c4e5ec5d4ec94127ce206e8738f29a437945fbc219b70"},
-]
-markers = {optim-torch = "python_version >= \"3.12\"", shiny = "python_version >= \"3.12\""}
-
-[package.extras]
-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.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "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) ; 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 = "shiny"
-version = "1.5.1"
-description = "A web development framework for Python."
-optional = false
-python-versions = ">=3.10"
-groups = ["shiny"]
-files = [
-    {file = "shiny-1.5.1-py3-none-any.whl", hash = "sha256:5ed60168e94fce0b7fc65bc04b92398e2611a2410acbcb850f8ae3001b99de40"},
-    {file = "shiny-1.5.1.tar.gz", hash = "sha256:482fa54635a6dc7e914cdbaa9099fe445790af3053d849b4e9a81e0f61677d37"},
-]
-
-[package.dependencies]
-asgiref = ">=3.5.2"
-click = {version = ">=8.1.4", markers = "platform_system != \"Emscripten\""}
-htmltools = ">=0.6.0"
-linkify-it-py = ">=1.0"
-markdown-it-py = ">=1.1.0"
-mdit-py-plugins = ">=0.3.0"
-narwhals = ">=1.10.0"
-orjson = ">=3.10.7"
-packaging = ">=20.9"
-platformdirs = ">=2.1.0"
-prompt-toolkit = {version = "*", markers = "platform_system != \"Emscripten\""}
-python-multipart = {version = ">=0.0.7", markers = "platform_system != \"Emscripten\""}
-questionary = {version = ">=2.0.0", markers = "platform_system != \"Emscripten\""}
-setuptools = {version = "*", markers = "python_version >= \"3.12\""}
-shinychat = ">=0.1.0"
-starlette = "*"
-typing-extensions = ">=4.10.0"
-uvicorn = {version = ">=0.16.0", markers = "platform_system != \"Emscripten\""}
-watchfiles = {version = ">=0.18.0", markers = "platform_system != \"Emscripten\""}
-websockets = ">=13.0"
-
-[package.extras]
-add-test = ["anthropic (>=0.62.0)", "chatlas[anthropic,openai]", "inspect-ai (>=0.3.129) ; python_version >= \"3.10\"", "openai (>=1.104.1)", "playwright (>=1.48.0)", "pytest (>=6.2.4)", "pytest-playwright (>=0.5.2)", "pytest-timeout"]
-dev = ["Flake8-pyproject (>=1.2.3)", "aiohttp", "beautifulsoup4", "black (>=24.0)", "brand_yml (>=0.1.0)", "chatlas (>=0.6.1)", "flake8 (>=6.0.0)", "flake8-bugbear (>=23.2.13)", "isort (>=5.10.1)", "libsass (>=0.23.0)", "matplotlib", "numpy", "pandas", "pandas-stubs", "polars", "pre-commit (>=2.15.0)", "pyright (>=1.1.407)", "python-dotenv", "shinyswatch (>=0.7.0)", "wheel"]
-doc = ["griffe (>=1.3.2)", "jupyter", "jupyter_client (<8.0.0)", "pydantic (>=2.7.4)", "quartodoc (>=0.8.1)", "shinylive", "tabulate"]
-test = ["anywidget", "astropy", "bokeh", "coverage", "dask[dataframe]", "duckdb", "faicons", "folium", "geodatasets", "geopandas", "great_tables", "holoviews", "ipyleaflet", "missingno", "palmerpenguins", "playwright (>=1.48.0)", "plotly", "plotnine", "polars", "psutil", "pyarrow", "pyarrow-stubs", "pytest (>=6.2.4)", "pytest-asyncio (>=0.17.2)", "pytest-cov", "pytest-playwright (>=0.5.2)", "pytest-rerunfailures", "pytest-timeout", "pytest-xdist", "ridgeplot", "rsconnect-python", "scikit-learn", "seaborn", "shinywidgets", "suntime", "syrupy (>=4.7.1)", "timezonefinder ; platform_system != \"Windows\"", "xarray"]
-theme = ["brand_yml (>=0.1.0)", "libsass (>=0.23.0)"]
-
-[[package]]
-name = "shinychat"
-version = "0.2.8"
-description = "An AI Chat interface for Shiny apps."
-optional = false
-python-versions = ">=3.9"
-groups = ["shiny"]
-files = [
-    {file = "shinychat-0.2.8-py3-none-any.whl", hash = "sha256:6742a2354257280458269a8b5675f1254e5583be34b6eb1a626de44c0323286a"},
-    {file = "shinychat-0.2.8.tar.gz", hash = "sha256:d27f28ddf1d512a05ef2cc2f0cffbb75b5b6e3157d5e3690ce4e63d18bfa7492"},
-]
-
-[package.dependencies]
-htmltools = ">=0.6.0"
-shiny = ">=1.4.0"
-
-[package.extras]
-providers = ["anthropic ; python_version >= \"3.11\"", "chatlas[mcp] (>=0.12.0)", "google-generativeai", "langchain-core", "ollama (>=0.4.0)", "openai", "pydantic", "tokenizers"]
-test = ["coverage (>=7.8.2)", "faicons", "ipyleaflet", "pandas", "playwright (>=1.43.0)", "plotly", "pyright (>=1.1.398)", "pytest (>=6.2.4)", "pytest-playwright (>=0.3.0)", "shinylive", "shinywidgets", "tox-uv (>=1)"]
-
-[[package]]
-name = "six"
-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", "dev"]
-files = [
-    {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
-    {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
-]
-
-[[package]]
-name = "snirf"
-version = "0.8.0"
-description = "Interface and validator for SNIRF files"
-optional = false
-python-versions = ">=3.6.0"
-groups = ["main"]
-files = [
-    {file = "snirf-0.8.0-py3-none-any.whl", hash = "sha256:85eed4f9e7bb1d98f3afb4751607da20dd216bdcb159090a212abc9815b12cbe"},
-    {file = "snirf-0.8.0.tar.gz", hash = "sha256:e78f207608b986ab2df773bba3475895a792ee699451423ca5f0cfad50a17b8a"},
-]
-
-[package.dependencies]
-colorama = "*"
-h5py = ">=3.1.0"
-numpy = "*"
-pip = "*"
-setuptools = "*"
-termcolor = "*"
-
-[[package]]
-name = "soupsieve"
-version = "2.8.3"
-description = "A modern CSS selector implementation for Beautiful Soup."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "soupsieve-2.8.3-py3-none-any.whl", hash = "sha256:ed64f2ba4eebeab06cc4962affce381647455978ffc1e36bb79a545b91f45a95"},
-    {file = "soupsieve-2.8.3.tar.gz", hash = "sha256:3267f1eeea4251fb42728b6dfb746edc9acaffc4a45b27e19450b676586e8349"},
-]
-
-[[package]]
-name = "stack-data"
-version = "0.6.3"
-description = "Extract data from python stack frames and tracebacks for informative displays"
-optional = false
-python-versions = "*"
-groups = ["dev"]
-files = [
-    {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
-    {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
-]
-
-[package.dependencies]
-asttokens = ">=2.1.0"
-executing = ">=1.2.0"
-pure-eval = "*"
-
-[package.extras]
-tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
-
-[[package]]
-name = "starlette"
-version = "0.52.1"
-description = "The little ASGI library that shines."
-optional = false
-python-versions = ">=3.10"
-groups = ["shiny"]
-files = [
-    {file = "starlette-0.52.1-py3-none-any.whl", hash = "sha256:0029d43eb3d273bc4f83a08720b4912ea4b071087a3b48db01b7c839f7954d74"},
-    {file = "starlette-0.52.1.tar.gz", hash = "sha256:834edd1b0a23167694292e94f597773bc3f89f362be6effee198165a35d62933"},
-]
-
-[package.dependencies]
-anyio = ">=3.6.2,<5"
-typing-extensions = {version = ">=4.10.0", markers = "python_version < \"3.13\""}
-
-[package.extras]
-full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"]
-
-[[package]]
-name = "statsmodels"
-version = "0.14.6"
-description = "Statistical computations and models for Python"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "statsmodels-0.14.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f4ff0649a2df674c7ffb6fa1a06bffdb82a6adf09a48e90e000a15a6aaa734b0"},
-    {file = "statsmodels-0.14.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:109012088b3e370080846ab053c76d125268631410142daad2f8c10770e8e8d9"},
-    {file = "statsmodels-0.14.6-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e93bd5d220f3cb6fc5fc1bffd5b094966cab8ee99f6c57c02e95710513d6ac3f"},
-    {file = "statsmodels-0.14.6-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:06eec42d682fdb09fe5d70a05930857efb141754ec5a5056a03304c1b5e32fd9"},
-    {file = "statsmodels-0.14.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:0444e88557df735eda7db330806fe09d51c9f888bb1f5906cb3a61fb1a3ed4a8"},
-    {file = "statsmodels-0.14.6-cp310-cp310-win_amd64.whl", hash = "sha256:e83a9abe653835da3b37fb6ae04b45480c1de11b3134bd40b09717192a1456ea"},
-    {file = "statsmodels-0.14.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6ad5c2810fc6c684254a7792bf1cbaf1606cdee2a253f8bd259c43135d87cfb4"},
-    {file = "statsmodels-0.14.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:341fa68a7403e10a95c7b6e41134b0da3a7b835ecff1eb266294408535a06eb6"},
-    {file = "statsmodels-0.14.6-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdf1dfe2a3ca56f5529118baf33a13efed2783c528f4a36409b46bbd2d9d48eb"},
-    {file = "statsmodels-0.14.6-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a3764ba8195c9baf0925a96da0743ff218067a269f01d155ca3558deed2658ca"},
-    {file = "statsmodels-0.14.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9e8d2e519852adb1b420e018f5ac6e6684b2b877478adf7fda2cfdb58f5acb5d"},
-    {file = "statsmodels-0.14.6-cp311-cp311-win_amd64.whl", hash = "sha256:2738a00fca51196f5a7d44b06970ace6b8b30289839e4808d656f8a98e35faa7"},
-    {file = "statsmodels-0.14.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:fe76140ae7adc5ff0e60a3f0d56f4fffef484efa803c3efebf2fcd734d72ecb5"},
-    {file = "statsmodels-0.14.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:26d4f0ed3b31f3c86f83a92f5c1f5cbe63fc992cd8915daf28ca49be14463a1c"},
-    {file = "statsmodels-0.14.6-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d8c00a42863e4f4733ac9d078bbfad816249c01451740e6f5053ecc7db6d6368"},
-    {file = "statsmodels-0.14.6-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:19b58cf7474aa9e7e3b0771a66537148b2df9b5884fbf156096c0e6c1ff0469d"},
-    {file = "statsmodels-0.14.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:81e7dcc5e9587f2567e52deaff5220b175bf2f648951549eae5fc9383b62bc37"},
-    {file = "statsmodels-0.14.6-cp312-cp312-win_amd64.whl", hash = "sha256:b5eb07acd115aa6208b4058211138393a7e6c2cf12b6f213ede10f658f6a714f"},
-    {file = "statsmodels-0.14.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:47ee7af083623d2091954fa71c7549b8443168f41b7c5dce66510274c50fd73e"},
-    {file = "statsmodels-0.14.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:aa60d82e29fcd0a736e86feb63a11d2380322d77a9369a54be8b0965a3985f71"},
-    {file = "statsmodels-0.14.6-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:89ee7d595f5939cc20bf946faedcb5137d975f03ae080f300ebb4398f16a5bd4"},
-    {file = "statsmodels-0.14.6-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:730f3297b26749b216a06e4327fe0be59b8d05f7d594fb6caff4287b69654589"},
-    {file = "statsmodels-0.14.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f1c08befa85e93acc992b72a390ddb7bd876190f1360e61d10cf43833463bc9c"},
-    {file = "statsmodels-0.14.6-cp313-cp313-win_amd64.whl", hash = "sha256:8021271a79f35b842c02a1794465a651a9d06ec2080f76ebc3b7adce77d08233"},
-    {file = "statsmodels-0.14.6-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:00781869991f8f02ad3610da6627fd26ebe262210287beb59761982a8fa88cae"},
-    {file = "statsmodels-0.14.6-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:73f305fbf31607b35ce919fae636ab8b80d175328ed38fdc6f354e813b86ee37"},
-    {file = "statsmodels-0.14.6-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e443e7077a6e2d3faeea72f5a92c9f12c63722686eb80bb40a0f04e4a7e267ad"},
-    {file = "statsmodels-0.14.6-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3414e40c073d725007a6603a18247ab7af3467e1af4a5e5a24e4c27bc26673b4"},
-    {file = "statsmodels-0.14.6-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:a518d3f9889ef920116f9fa56d0338069e110f823926356946dae83bc9e33e19"},
-    {file = "statsmodels-0.14.6-cp314-cp314-win_amd64.whl", hash = "sha256:151b73e29f01fe619dbce7f66d61a356e9d1fe5e906529b78807df9189c37721"},
-    {file = "statsmodels-0.14.6-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4d0c1b0f9f6915619e2a0d3853e5763d4d66876892ad352e7d7b93a737556978"},
-    {file = "statsmodels-0.14.6-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9e0fc891d6358bf376cc0ae1fee10a650478172ae9ba359daba1785fc496cd1a"},
-    {file = "statsmodels-0.14.6-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0f52ef0f0b63b8fd11e1ef1c2a1e73a410720b8715c9a83a26d733b6815597fe"},
-    {file = "statsmodels-0.14.6-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b328eafa86a2a67303fdb1d25677d15b70cd2a5229aabec7670ec5ea840f1375"},
-    {file = "statsmodels-0.14.6-cp39-cp39-win_amd64.whl", hash = "sha256:3bef39f8587754f2d644b2e831e102fa08ace9a5a1af4b583b122e6fd3e083ab"},
-    {file = "statsmodels-0.14.6.tar.gz", hash = "sha256:4d17873d3e607d398b85126cd4ed7aad89e4e9d89fc744cdab1af3189a996c2a"},
-]
-
-[package.dependencies]
-numpy = ">=1.22.3,<3"
-packaging = ">=21.3"
-pandas = ">=1.4,<2.1.0 || >2.1.0"
-patsy = ">=0.5.6"
-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", "jinja2", "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]]
-name = "sympy"
-version = "1.14.0"
-description = "Computer algebra system (CAS) in Python"
-optional = false
-python-versions = ">=3.9"
-groups = ["optim-torch"]
-files = [
-    {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"},
-    {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"},
-]
-
-[package.dependencies]
-mpmath = ">=1.1.0,<1.4"
-
-[package.extras]
-dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
-
-[[package]]
-name = "tabulate"
-version = "0.9.0"
-description = "Pretty-print tabular data"
-optional = false
-python-versions = ">=3.7"
-groups = ["dev"]
-files = [
-    {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
-    {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
-]
-
-[package.extras]
-widechars = ["wcwidth"]
-
-[[package]]
-name = "termcolor"
-version = "3.3.0"
-description = "ANSI color formatting for output in terminal"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-files = [
-    {file = "termcolor-3.3.0-py3-none-any.whl", hash = "sha256:cf642efadaf0a8ebbbf4bc7a31cec2f9b5f21a9f726f4ccbb08192c9c26f43a5"},
-    {file = "termcolor-3.3.0.tar.gz", hash = "sha256:348871ca648ec6a9a983a13ab626c0acce02f515b9e1983332b17af7979521c5"},
-]
-
-[package.extras]
-tests = ["pytest", "pytest-cov"]
-
-[[package]]
-name = "terminado"
-version = "0.18.1"
-description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "terminado-0.18.1-py3-none-any.whl", hash = "sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0"},
-    {file = "terminado-0.18.1.tar.gz", hash = "sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e"},
-]
-
-[package.dependencies]
-ptyprocess = {version = "*", markers = "os_name != \"nt\""}
-pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""}
-tornado = ">=6.1.0"
-
-[package.extras]
-docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
-test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"]
-typing = ["mypy (>=1.6,<2.0)", "traitlets (>=5.11.1)"]
-
-[[package]]
-name = "threadpoolctl"
-version = "3.6.0"
-description = "threadpoolctl"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb"},
-    {file = "threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e"},
-]
-
-[[package]]
-name = "tifffile"
-version = "2025.5.10"
-description = "Read and write TIFF files"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "tifffile-2025.5.10-py3-none-any.whl", hash = "sha256:e37147123c0542d67bc37ba5cdd67e12ea6fbe6e86c52bee037a9eb6a064e5ad"},
-    {file = "tifffile-2025.5.10.tar.gz", hash = "sha256:018335d34283aa3fd8c263bae5c3c2b661ebc45548fde31504016fcae7bf1103"},
-]
-
-[package.dependencies]
-numpy = "*"
-
-[package.extras]
-all = ["defusedxml", "fsspec", "imagecodecs (>=2024.12.30)", "lxml", "matplotlib", "zarr (<3)"]
-codecs = ["imagecodecs (>=2024.12.30)"]
-plot = ["matplotlib"]
-test = ["cmapfile", "czifile", "dask", "defusedxml", "fsspec", "imagecodecs", "lfdfiles", "lxml", "ndtiff", "oiffile", "psdtags", "pytest", "roifile", "xarray", "zarr (<3)"]
-xml = ["defusedxml", "lxml"]
-zarr = ["fsspec", "zarr (<3)"]
-
-[[package]]
-name = "tifffile"
-version = "2026.1.28"
-description = "Read and write TIFF files"
-optional = false
-python-versions = ">=3.11"
-groups = ["main"]
-markers = "python_version >= \"3.11\""
-files = [
-    {file = "tifffile-2026.1.28-py3-none-any.whl", hash = "sha256:45b08a19cf603dd99952eff54a61519626a1912e4e2a4d355f05938fe4a6e9fd"},
-    {file = "tifffile-2026.1.28.tar.gz", hash = "sha256:537ae6466a8bb555c336108bb1878d8319d52c9c738041d3349454dea6956e1c"},
-]
-
-[package.dependencies]
-numpy = "*"
-
-[package.extras]
-all = ["defusedxml", "fsspec", "imagecodecs (>=2025.11.11)", "kerchunk", "lxml", "matplotlib", "zarr (>=3.1.3)"]
-codecs = ["imagecodecs (>=2025.11.11)"]
-plot = ["matplotlib"]
-test = ["cmapfile", "czifile", "dask", "defusedxml", "fsspec", "imagecodecs", "kerchunk", "lfdfiles", "lxml", "ndtiff", "oiffile", "psdtags", "pytest", "requests", "roifile", "xarray", "zarr (>=3.1.3)"]
-xml = ["defusedxml", "lxml"]
-zarr = ["fsspec", "kerchunk", "zarr (>=3.1.3)"]
-
-[[package]]
-name = "tinycss2"
-version = "1.4.0"
-description = "A tiny CSS parser"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "tinycss2-1.4.0-py3-none-any.whl", hash = "sha256:3a49cf47b7675da0b15d0c6e1df8df4ebd96e9394bb905a5775adb0d884c5289"},
-    {file = "tinycss2-1.4.0.tar.gz", hash = "sha256:10c0972f6fc0fbee87c3edb76549357415e94548c1ae10ebccdea16fb404a9b7"},
-]
-
-[package.dependencies]
-webencodings = ">=0.4"
-
-[package.extras]
-doc = ["sphinx", "sphinx_rtd_theme"]
-test = ["pytest", "ruff"]
-
-[[package]]
-name = "tomli"
-version = "2.4.0"
-description = "A lil' TOML parser"
-optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "tomli-2.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b5ef256a3fd497d4973c11bf142e9ed78b150d36f5773f1ca6088c230ffc5867"},
-    {file = "tomli-2.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5572e41282d5268eb09a697c89a7bee84fae66511f87533a6f88bd2f7b652da9"},
-    {file = "tomli-2.4.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:551e321c6ba03b55676970b47cb1b73f14a0a4dce6a3e1a9458fd6d921d72e95"},
-    {file = "tomli-2.4.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5e3f639a7a8f10069d0e15408c0b96a2a828cfdec6fca05296ebcdcc28ca7c76"},
-    {file = "tomli-2.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1b168f2731796b045128c45982d3a4874057626da0e2ef1fdd722848b741361d"},
-    {file = "tomli-2.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:133e93646ec4300d651839d382d63edff11d8978be23da4cc106f5a18b7d0576"},
-    {file = "tomli-2.4.0-cp311-cp311-win32.whl", hash = "sha256:b6c78bdf37764092d369722d9946cb65b8767bfa4110f902a1b2542d8d173c8a"},
-    {file = "tomli-2.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:d3d1654e11d724760cdb37a3d7691f0be9db5fbdaef59c9f532aabf87006dbaa"},
-    {file = "tomli-2.4.0-cp311-cp311-win_arm64.whl", hash = "sha256:cae9c19ed12d4e8f3ebf46d1a75090e4c0dc16271c5bce1c833ac168f08fb614"},
-    {file = "tomli-2.4.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:920b1de295e72887bafa3ad9f7a792f811847d57ea6b1215154030cf131f16b1"},
-    {file = "tomli-2.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7d6d9a4aee98fac3eab4952ad1d73aee87359452d1c086b5ceb43ed02ddb16b8"},
-    {file = "tomli-2.4.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:36b9d05b51e65b254ea6c2585b59d2c4cb91c8a3d91d0ed0f17591a29aaea54a"},
-    {file = "tomli-2.4.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1c8a885b370751837c029ef9bc014f27d80840e48bac415f3412e6593bbc18c1"},
-    {file = "tomli-2.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8768715ffc41f0008abe25d808c20c3d990f42b6e2e58305d5da280ae7d1fa3b"},
-    {file = "tomli-2.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7b438885858efd5be02a9a133caf5812b8776ee0c969fea02c45e8e3f296ba51"},
-    {file = "tomli-2.4.0-cp312-cp312-win32.whl", hash = "sha256:0408e3de5ec77cc7f81960c362543cbbd91ef883e3138e81b729fc3eea5b9729"},
-    {file = "tomli-2.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:685306e2cc7da35be4ee914fd34ab801a6acacb061b6a7abca922aaf9ad368da"},
-    {file = "tomli-2.4.0-cp312-cp312-win_arm64.whl", hash = "sha256:5aa48d7c2356055feef06a43611fc401a07337d5b006be13a30f6c58f869e3c3"},
-    {file = "tomli-2.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:84d081fbc252d1b6a982e1870660e7330fb8f90f676f6e78b052ad4e64714bf0"},
-    {file = "tomli-2.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:9a08144fa4cba33db5255f9b74f0b89888622109bd2776148f2597447f92a94e"},
-    {file = "tomli-2.4.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c73add4bb52a206fd0c0723432db123c0c75c280cbd67174dd9d2db228ebb1b4"},
-    {file = "tomli-2.4.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1fb2945cbe303b1419e2706e711b7113da57b7db31ee378d08712d678a34e51e"},
-    {file = "tomli-2.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:bbb1b10aa643d973366dc2cb1ad94f99c1726a02343d43cbc011edbfac579e7c"},
-    {file = "tomli-2.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4cbcb367d44a1f0c2be408758b43e1ffb5308abe0ea222897d6bfc8e8281ef2f"},
-    {file = "tomli-2.4.0-cp313-cp313-win32.whl", hash = "sha256:7d49c66a7d5e56ac959cb6fc583aff0651094ec071ba9ad43df785abc2320d86"},
-    {file = "tomli-2.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:3cf226acb51d8f1c394c1b310e0e0e61fecdd7adcb78d01e294ac297dd2e7f87"},
-    {file = "tomli-2.4.0-cp313-cp313-win_arm64.whl", hash = "sha256:d20b797a5c1ad80c516e41bc1fb0443ddb5006e9aaa7bda2d71978346aeb9132"},
-    {file = "tomli-2.4.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:26ab906a1eb794cd4e103691daa23d95c6919cc2fa9160000ac02370cc9dd3f6"},
-    {file = "tomli-2.4.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:20cedb4ee43278bc4f2fee6cb50daec836959aadaf948db5172e776dd3d993fc"},
-    {file = "tomli-2.4.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:39b0b5d1b6dd03684b3fb276407ebed7090bbec989fa55838c98560c01113b66"},
-    {file = "tomli-2.4.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a26d7ff68dfdb9f87a016ecfd1e1c2bacbe3108f4e0f8bcd2228ef9a766c787d"},
-    {file = "tomli-2.4.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:20ffd184fb1df76a66e34bd1b36b4a4641bd2b82954befa32fe8163e79f1a702"},
-    {file = "tomli-2.4.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:75c2f8bbddf170e8effc98f5e9084a8751f8174ea6ccf4fca5398436e0320bc8"},
-    {file = "tomli-2.4.0-cp314-cp314-win32.whl", hash = "sha256:31d556d079d72db7c584c0627ff3a24c5d3fb4f730221d3444f3efb1b2514776"},
-    {file = "tomli-2.4.0-cp314-cp314-win_amd64.whl", hash = "sha256:43e685b9b2341681907759cf3a04e14d7104b3580f808cfde1dfdb60ada85475"},
-    {file = "tomli-2.4.0-cp314-cp314-win_arm64.whl", hash = "sha256:3d895d56bd3f82ddd6faaff993c275efc2ff38e52322ea264122d72729dca2b2"},
-    {file = "tomli-2.4.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:5b5807f3999fb66776dbce568cc9a828544244a8eb84b84b9bafc080c99597b9"},
-    {file = "tomli-2.4.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:c084ad935abe686bd9c898e62a02a19abfc9760b5a79bc29644463eaf2840cb0"},
-    {file = "tomli-2.4.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0f2e3955efea4d1cfbcb87bc321e00dc08d2bcb737fd1d5e398af111d86db5df"},
-    {file = "tomli-2.4.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0e0fe8a0b8312acf3a88077a0802565cb09ee34107813bba1c7cd591fa6cfc8d"},
-    {file = "tomli-2.4.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:413540dce94673591859c4c6f794dfeaa845e98bf35d72ed59636f869ef9f86f"},
-    {file = "tomli-2.4.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:0dc56fef0e2c1c470aeac5b6ca8cc7b640bb93e92d9803ddaf9ea03e198f5b0b"},
-    {file = "tomli-2.4.0-cp314-cp314t-win32.whl", hash = "sha256:d878f2a6707cc9d53a1be1414bbb419e629c3d6e67f69230217bb663e76b5087"},
-    {file = "tomli-2.4.0-cp314-cp314t-win_amd64.whl", hash = "sha256:2add28aacc7425117ff6364fe9e06a183bb0251b03f986df0e78e974047571fd"},
-    {file = "tomli-2.4.0-cp314-cp314t-win_arm64.whl", hash = "sha256:2b1e3b80e1d5e52e40e9b924ec43d81570f0e7d09d11081b797bc4692765a3d4"},
-    {file = "tomli-2.4.0-py3-none-any.whl", hash = "sha256:1f776e7d669ebceb01dee46484485f43a4048746235e683bcdffacdf1fb4785a"},
-    {file = "tomli-2.4.0.tar.gz", hash = "sha256:aa89c3f6c277dd275d8e243ad24f3b5e701491a860d5121f2cdd399fbb31fc9c"},
-]
-
-[[package]]
-name = "tomlkit"
-version = "0.14.0"
-description = "Style preserving TOML library"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "tomlkit-0.14.0-py3-none-any.whl", hash = "sha256:592064ed85b40fa213469f81ac584f67a4f2992509a7c3ea2d632208623a3680"},
-    {file = "tomlkit-0.14.0.tar.gz", hash = "sha256:cf00efca415dbd57575befb1f6634c4f42d2d87dbba376128adb42c121b87064"},
-]
-
-[[package]]
-name = "torch"
-version = "2.10.0"
-description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
-optional = false
-python-versions = ">=3.10"
-groups = ["optim-torch"]
-files = [
-    {file = "torch-2.10.0-1-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:c37fc46eedd9175f9c81814cc47308f1b42cfe4987e532d4b423d23852f2bf63"},
-    {file = "torch-2.10.0-1-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:f699f31a236a677b3118bc0a3ef3d89c0c29b5ec0b20f4c4bf0b110378487464"},
-    {file = "torch-2.10.0-1-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:6abb224c2b6e9e27b592a1c0015c33a504b00a0e0938f1499f7f514e9b7bfb5c"},
-    {file = "torch-2.10.0-1-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:7350f6652dfd761f11f9ecb590bfe95b573e2961f7a242eccb3c8e78348d26fe"},
-    {file = "torch-2.10.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:5276fa790a666ee8becaffff8acb711922252521b28fbce5db7db5cf9cb2026d"},
-    {file = "torch-2.10.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:aaf663927bcd490ae971469a624c322202a2a1e68936eb952535ca4cd3b90444"},
-    {file = "torch-2.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:a4be6a2a190b32ff5c8002a0977a25ea60e64f7ba46b1be37093c141d9c49aeb"},
-    {file = "torch-2.10.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:35e407430795c8d3edb07a1d711c41cc1f9eaddc8b2f1cc0a165a6767a8fb73d"},
-    {file = "torch-2.10.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:3282d9febd1e4e476630a099692b44fdc214ee9bf8ee5377732d9d9dfe5712e4"},
-    {file = "torch-2.10.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:a2f9edd8dbc99f62bc4dfb78af7bf89499bca3d753423ac1b4e06592e467b763"},
-    {file = "torch-2.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:29b7009dba4b7a1c960260fc8ac85022c784250af43af9fb0ebafc9883782ebd"},
-    {file = "torch-2.10.0-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:b7bd80f3477b830dd166c707c5b0b82a898e7b16f59a7d9d42778dd058272e8b"},
-    {file = "torch-2.10.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:5fd4117d89ffd47e3dcc71e71a22efac24828ad781c7e46aaaf56bf7f2796acf"},
-    {file = "torch-2.10.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:787124e7db3b379d4f1ed54dd12ae7c741c16a4d29b49c0226a89bea50923ffb"},
-    {file = "torch-2.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:2c66c61f44c5f903046cc696d088e21062644cbe541c7f1c4eaae88b2ad23547"},
-    {file = "torch-2.10.0-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:6d3707a61863d1c4d6ebba7be4ca320f42b869ee657e9b2c21c736bf17000294"},
-    {file = "torch-2.10.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:5c4d217b14741e40776dd7074d9006fd28b8a97ef5654db959d8635b2fe5f29b"},
-    {file = "torch-2.10.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:6b71486353fce0f9714ca0c9ef1c850a2ae766b409808acd58e9678a3edb7738"},
-    {file = "torch-2.10.0-cp313-cp313-win_amd64.whl", hash = "sha256:c2ee399c644dc92ef7bc0d4f7e74b5360c37cdbe7c5ba11318dda49ffac2bc57"},
-    {file = "torch-2.10.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:3202429f58309b9fa96a614885eace4b7995729f44beb54d3e4a47773649d382"},
-    {file = "torch-2.10.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:aae1b29cd68e50a9397f5ee897b9c24742e9e306f88a807a27d617f07adb3bd8"},
-    {file = "torch-2.10.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:6021db85958db2f07ec94e1bc77212721ba4920c12a18dc552d2ae36a3eb163f"},
-    {file = "torch-2.10.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ff43db38af76fda183156153983c9a096fc4c78d0cd1e07b14a2314c7f01c2c8"},
-    {file = "torch-2.10.0-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:cdf2a523d699b70d613243211ecaac14fe9c5df8a0b0a9c02add60fb2a413e0f"},
-    {file = "torch-2.10.0-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:bf0d9ff448b0218e0433aeb198805192346c4fd659c852370d5cc245f602a06a"},
-    {file = "torch-2.10.0-cp314-cp314-manylinux_2_28_aarch64.whl", hash = "sha256:233aed0659a2503b831d8a67e9da66a62c996204c0bba4f4c442ccc0c68a3f60"},
-    {file = "torch-2.10.0-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:682497e16bdfa6efeec8cde66531bc8d1fbbbb4d8788ec6173c089ed3cc2bfe5"},
-    {file = "torch-2.10.0-cp314-cp314-win_amd64.whl", hash = "sha256:6528f13d2a8593a1a412ea07a99812495bec07e9224c28b2a25c0a30c7da025c"},
-    {file = "torch-2.10.0-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:f5ab4ba32383061be0fb74bda772d470140a12c1c3b58a0cfbf3dae94d164c28"},
-    {file = "torch-2.10.0-cp314-cp314t-manylinux_2_28_aarch64.whl", hash = "sha256:716b01a176c2a5659c98f6b01bf868244abdd896526f1c692712ab36dbaf9b63"},
-    {file = "torch-2.10.0-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:d8f5912ba938233f86361e891789595ff35ca4b4e2ac8fe3670895e5976731d6"},
-    {file = "torch-2.10.0-cp314-cp314t-win_amd64.whl", hash = "sha256:71283a373f0ee2c89e0f0d5f446039bdabe8dbc3c9ccf35f0f784908b0acd185"},
-]
-
-[package.dependencies]
-cuda-bindings = {version = "12.9.4", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-filelock = "*"
-fsspec = ">=0.8.5"
-jinja2 = "*"
-networkx = ">=2.5.1"
-nvidia-cublas-cu12 = {version = "12.8.4.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-cupti-cu12 = {version = "12.8.90", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-nvrtc-cu12 = {version = "12.8.93", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-runtime-cu12 = {version = "12.8.90", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cudnn-cu12 = {version = "9.10.2.21", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cufft-cu12 = {version = "11.3.3.83", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cufile-cu12 = {version = "1.13.1.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-curand-cu12 = {version = "10.3.9.90", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cusolver-cu12 = {version = "11.7.3.90", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cusparse-cu12 = {version = "12.5.8.93", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cusparselt-cu12 = {version = "0.7.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nccl-cu12 = {version = "2.27.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nvjitlink-cu12 = {version = "12.8.93", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nvshmem-cu12 = {version = "3.4.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nvtx-cu12 = {version = "12.8.90", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-setuptools = {version = "*", markers = "python_version >= \"3.12\""}
-sympy = ">=1.13.3"
-triton = {version = "3.6.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-typing-extensions = ">=4.10.0"
-
-[package.extras]
-opt-einsum = ["opt-einsum (>=3.3)"]
-optree = ["optree (>=0.13.0)"]
-pyyaml = ["pyyaml"]
-
-[[package]]
-name = "tornado"
-version = "6.5.4"
-description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "tornado-6.5.4-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:d6241c1a16b1c9e4cc28148b1cda97dd1c6cb4fb7068ac1bedc610768dff0ba9"},
-    {file = "tornado-6.5.4-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:2d50f63dda1d2cac3ae1fa23d254e16b5e38153758470e9956cbc3d813d40843"},
-    {file = "tornado-6.5.4-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d1cf66105dc6acb5af613c054955b8137e34a03698aa53272dbda4afe252be17"},
-    {file = "tornado-6.5.4-cp39-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:50ff0a58b0dc97939d29da29cd624da010e7f804746621c78d14b80238669335"},
-    {file = "tornado-6.5.4-cp39-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e5fb5e04efa54cf0baabdd10061eb4148e0be137166146fff835745f59ab9f7f"},
-    {file = "tornado-6.5.4-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:9c86b1643b33a4cd415f8d0fe53045f913bf07b4a3ef646b735a6a86047dda84"},
-    {file = "tornado-6.5.4-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:6eb82872335a53dd063a4f10917b3efd28270b56a33db69009606a0312660a6f"},
-    {file = "tornado-6.5.4-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:6076d5dda368c9328ff41ab5d9dd3608e695e8225d1cd0fd1e006f05da3635a8"},
-    {file = "tornado-6.5.4-cp39-abi3-win32.whl", hash = "sha256:1768110f2411d5cd281bac0a090f707223ce77fd110424361092859e089b38d1"},
-    {file = "tornado-6.5.4-cp39-abi3-win_amd64.whl", hash = "sha256:fa07d31e0cd85c60713f2b995da613588aa03e1303d75705dca6af8babc18ddc"},
-    {file = "tornado-6.5.4-cp39-abi3-win_arm64.whl", hash = "sha256:053e6e16701eb6cbe641f308f4c1a9541f91b6261991160391bfc342e8a551a1"},
-    {file = "tornado-6.5.4.tar.gz", hash = "sha256:a22fa9047405d03260b483980635f0b041989d8bcc9a313f8fe18b411d84b1d7"},
-]
-
-[[package]]
-name = "tqdm"
-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"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "platform_system == \"Windows\""}
-
-[package.extras]
-dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"]
-discord = ["requests"]
-notebook = ["ipywidgets (>=6)"]
-slack = ["slack-sdk"]
-telegram = ["requests"]
-
-[[package]]
-name = "traitlets"
-version = "5.14.3"
-description = "Traitlets Python configuration system"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
-    {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
-]
-
-[package.extras]
-docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
-test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
-
-[[package]]
-name = "triton"
-version = "3.6.0"
-description = "A language and compiler for custom Deep Learning operations"
-optional = false
-python-versions = "<3.15,>=3.10"
-groups = ["optim-torch"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "triton-3.6.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6c723cfb12f6842a0ae94ac307dba7e7a44741d720a40cf0e270ed4a4e3be781"},
-    {file = "triton-3.6.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a6550fae429e0667e397e5de64b332d1e5695b73650ee75a6146e2e902770bea"},
-    {file = "triton-3.6.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:49df5ef37379c0c2b5c0012286f80174fcf0e073e5ade1ca9a86c36814553651"},
-    {file = "triton-3.6.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e8e323d608e3a9bfcc2d9efcc90ceefb764a82b99dea12a86d643c72539ad5d3"},
-    {file = "triton-3.6.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:374f52c11a711fd062b4bfbb201fd9ac0a5febd28a96fb41b4a0f51dde3157f4"},
-    {file = "triton-3.6.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:74caf5e34b66d9f3a429af689c1c7128daba1d8208df60e81106b115c00d6fca"},
-    {file = "triton-3.6.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:448e02fe6dc898e9e5aa89cf0ee5c371e99df5aa5e8ad976a80b93334f3494fd"},
-    {file = "triton-3.6.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:10c7f76c6e72d2ef08df639e3d0d30729112f47a56b0c81672edc05ee5116ac9"},
-    {file = "triton-3.6.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1722e172d34e32abc3eb7711d0025bb69d7959ebea84e3b7f7a341cd7ed694d6"},
-    {file = "triton-3.6.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d002e07d7180fd65e622134fbd980c9a3d4211fb85224b56a0a0efbd422ab72f"},
-    {file = "triton-3.6.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ef5523241e7d1abca00f1d240949eebdd7c673b005edbbce0aca95b8191f1d43"},
-    {file = "triton-3.6.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a17a5d5985f0ac494ed8a8e54568f092f7057ef60e1b0fa09d3fd1512064e803"},
-    {file = "triton-3.6.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0b3a97e8ed304dfa9bd23bb41ca04cdf6b2e617d5e782a8653d616037a5d537d"},
-    {file = "triton-3.6.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:46bd1c1af4b6704e554cad2eeb3b0a6513a980d470ccfa63189737340c7746a7"},
-]
-
-[package.extras]
-build = ["cmake (>=3.20,<4.0)", "lit"]
-tests = ["autopep8", "isort", "llnl-hatchet", "numpy", "pytest", "pytest-forked", "pytest-xdist", "scipy (>=1.7.1)"]
-tutorials = ["matplotlib", "pandas", "tabulate"]
-
-[[package]]
-name = "typing-extensions"
-version = "4.15.0"
-description = "Backported and Experimental Type Hints for Python 3.9+"
-optional = false
-python-versions = ">=3.9"
-groups = ["main", "dev", "optim-torch", "shiny"]
-files = [
-    {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"},
-    {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"},
-]
-markers = {main = "python_version == \"3.10\""}
-
-[[package]]
-name = "tzdata"
-version = "2025.3"
-description = "Provider of IANA time zone data"
-optional = false
-python-versions = ">=2"
-groups = ["main", "dev"]
-files = [
-    {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"},
-    {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"},
-]
-markers = {main = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or python_version == \"3.10\""}
-
-[[package]]
-name = "uc-micro-py"
-version = "1.0.3"
-description = "Micro subset of unicode data files for linkify-it-py projects."
-optional = false
-python-versions = ">=3.7"
-groups = ["shiny"]
-files = [
-    {file = "uc-micro-py-1.0.3.tar.gz", hash = "sha256:d321b92cff673ec58027c04015fcaa8bb1e005478643ff4a500882eaab88c48a"},
-    {file = "uc_micro_py-1.0.3-py3-none-any.whl", hash = "sha256:db1dffff340817673d7b466ec86114a9dc0e9d4d9b5ba229d9d60e5c12600cd5"},
-]
-
-[package.extras]
-test = ["coverage", "pytest", "pytest-cov"]
-
-[[package]]
-name = "uri-template"
-version = "1.3.0"
-description = "RFC 6570 URI Template Processor"
-optional = false
-python-versions = ">=3.7"
-groups = ["dev"]
-files = [
-    {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"},
-    {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"},
-]
-
-[package.extras]
-dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake8-commas", "flake8-comprehensions", "flake8-continuation", "flake8-datetimez", "flake8-docstrings", "flake8-import-order", "flake8-literal", "flake8-modern-annotations", "flake8-noqa", "flake8-pyproject", "flake8-requirements", "flake8-typechecking-import", "flake8-use-fstring", "mypy", "pep8-naming", "types-PyYAML"]
-
-[[package]]
-name = "urllib3"
-version = "2.6.3"
-description = "HTTP library with thread-safe connection pooling, file post, and more."
-optional = false
-python-versions = ">=3.9"
-groups = ["main", "dev"]
-files = [
-    {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"},
-    {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"},
-]
-
-[package.extras]
-brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""]
-h2 = ["h2 (>=4,<5)"]
-socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
-zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""]
-
-[[package]]
-name = "uvicorn"
-version = "0.40.0"
-description = "The lightning-fast ASGI server."
-optional = false
-python-versions = ">=3.10"
-groups = ["shiny"]
-markers = "platform_system != \"Emscripten\""
-files = [
-    {file = "uvicorn-0.40.0-py3-none-any.whl", hash = "sha256:c6c8f55bc8bf13eb6fa9ff87ad62308bbbc33d0b67f84293151efe87e0d5f2ee"},
-    {file = "uvicorn-0.40.0.tar.gz", hash = "sha256:839676675e87e73694518b5574fd0f24c9d97b46bea16df7b8c05ea1a51071ea"},
-]
-
-[package.dependencies]
-click = ">=7.0"
-h11 = ">=0.8"
-typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
-
-[package.extras]
-standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"]
-
-[[package]]
-name = "watchdog"
-version = "6.0.0"
-description = "Filesystem events monitoring"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d1cdb490583ebd691c012b3d6dae011000fe42edb7a82ece80965b42abd61f26"},
-    {file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc64ab3bdb6a04d69d4023b29422170b74681784ffb9463ed4870cf2f3e66112"},
-    {file = "watchdog-6.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c897ac1b55c5a1461e16dae288d22bb2e412ba9807df8397a635d88f671d36c3"},
-    {file = "watchdog-6.0.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6eb11feb5a0d452ee41f824e271ca311a09e250441c262ca2fd7ebcf2461a06c"},
-    {file = "watchdog-6.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ef810fbf7b781a5a593894e4f439773830bdecb885e6880d957d5b9382a960d2"},
-    {file = "watchdog-6.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:afd0fe1b2270917c5e23c2a65ce50c2a4abb63daafb0d419fde368e272a76b7c"},
-    {file = "watchdog-6.0.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:bdd4e6f14b8b18c334febb9c4425a878a2ac20efd1e0b231978e7b150f92a948"},
-    {file = "watchdog-6.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c7c15dda13c4eb00d6fb6fc508b3c0ed88b9d5d374056b239c4ad1611125c860"},
-    {file = "watchdog-6.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6f10cb2d5902447c7d0da897e2c6768bca89174d0c6e1e30abec5421af97a5b0"},
-    {file = "watchdog-6.0.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:490ab2ef84f11129844c23fb14ecf30ef3d8a6abafd3754a6f75ca1e6654136c"},
-    {file = "watchdog-6.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:76aae96b00ae814b181bb25b1b98076d5fc84e8a53cd8885a318b42b6d3a5134"},
-    {file = "watchdog-6.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:a175f755fc2279e0b7312c0035d52e27211a5bc39719dd529625b1930917345b"},
-    {file = "watchdog-6.0.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e6f0e77c9417e7cd62af82529b10563db3423625c5fce018430b249bf977f9e8"},
-    {file = "watchdog-6.0.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:90c8e78f3b94014f7aaae121e6b909674df5b46ec24d6bebc45c44c56729af2a"},
-    {file = "watchdog-6.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e7631a77ffb1f7d2eefa4445ebbee491c720a5661ddf6df3498ebecae5ed375c"},
-    {file = "watchdog-6.0.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c7ac31a19f4545dd92fc25d200694098f42c9a8e391bc00bdd362c5736dbf881"},
-    {file = "watchdog-6.0.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:9513f27a1a582d9808cf21a07dae516f0fab1cf2d7683a742c498b93eedabb11"},
-    {file = "watchdog-6.0.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:7a0e56874cfbc4b9b05c60c8a1926fedf56324bb08cfbc188969777940aef3aa"},
-    {file = "watchdog-6.0.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:e6439e374fc012255b4ec786ae3c4bc838cd7309a540e5fe0952d03687d8804e"},
-    {file = "watchdog-6.0.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7607498efa04a3542ae3e05e64da8202e58159aa1fa4acddf7678d34a35d4f13"},
-    {file = "watchdog-6.0.0-py3-none-manylinux2014_armv7l.whl", hash = "sha256:9041567ee8953024c83343288ccc458fd0a2d811d6a0fd68c4c22609e3490379"},
-    {file = "watchdog-6.0.0-py3-none-manylinux2014_i686.whl", hash = "sha256:82dc3e3143c7e38ec49d61af98d6558288c415eac98486a5c581726e0737c00e"},
-    {file = "watchdog-6.0.0-py3-none-manylinux2014_ppc64.whl", hash = "sha256:212ac9b8bf1161dc91bd09c048048a95ca3a4c4f5e5d4a7d1b1a7d5752a7f96f"},
-    {file = "watchdog-6.0.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:e3df4cbb9a450c6d49318f6d14f4bbc80d763fa587ba46ec86f99f9e6876bb26"},
-    {file = "watchdog-6.0.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:2cce7cfc2008eb51feb6aab51251fd79b85d9894e98ba847408f662b3395ca3c"},
-    {file = "watchdog-6.0.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:20ffe5b202af80ab4266dcd3e91aae72bf2da48c0d33bdb15c66658e685e94e2"},
-    {file = "watchdog-6.0.0-py3-none-win32.whl", hash = "sha256:07df1fdd701c5d4c8e55ef6cf55b8f0120fe1aef7ef39a1c6fc6bc2e606d517a"},
-    {file = "watchdog-6.0.0-py3-none-win_amd64.whl", hash = "sha256:cbafb470cf848d93b5d013e2ecb245d4aa1c8fd0504e863ccefa32445359d680"},
-    {file = "watchdog-6.0.0-py3-none-win_ia64.whl", hash = "sha256:a1914259fa9e1454315171103c6a30961236f508b9b623eae470268bbcc6a22f"},
-    {file = "watchdog-6.0.0.tar.gz", hash = "sha256:9ddf7c82fda3ae8e24decda1338ede66e1c99883db93711d8fb941eaa2d8c282"},
-]
-
-[package.extras]
-watchmedo = ["PyYAML (>=3.10)"]
-
-[[package]]
-name = "watchfiles"
-version = "1.1.1"
-description = "Simple, modern and high performance file watching and code reload in python."
-optional = false
-python-versions = ">=3.9"
-groups = ["shiny"]
-markers = "platform_system != \"Emscripten\""
-files = [
-    {file = "watchfiles-1.1.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:eef58232d32daf2ac67f42dea51a2c80f0d03379075d44a587051e63cc2e368c"},
-    {file = "watchfiles-1.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43"},
-    {file = "watchfiles-1.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8ca65483439f9c791897f7db49202301deb6e15fe9f8fe2fed555bf986d10c31"},
-    {file = "watchfiles-1.1.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f0ab1c1af0cb38e3f598244c17919fb1a84d1629cc08355b0074b6d7f53138ac"},
-    {file = "watchfiles-1.1.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3bc570d6c01c206c46deb6e935a260be44f186a2f05179f52f7fcd2be086a94d"},
-    {file = "watchfiles-1.1.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e84087b432b6ac94778de547e08611266f1f8ffad28c0ee4c82e028b0fc5966d"},
-    {file = "watchfiles-1.1.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:620bae625f4cb18427b1bb1a2d9426dc0dd5a5ba74c7c2cdb9de405f7b129863"},
-    {file = "watchfiles-1.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:544364b2b51a9b0c7000a4b4b02f90e9423d97fbbf7e06689236443ebcad81ab"},
-    {file = "watchfiles-1.1.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:bbe1ef33d45bc71cf21364df962af171f96ecaeca06bd9e3d0b583efb12aec82"},
-    {file = "watchfiles-1.1.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:1a0bb430adb19ef49389e1ad368450193a90038b5b752f4ac089ec6942c4dff4"},
-    {file = "watchfiles-1.1.1-cp310-cp310-win32.whl", hash = "sha256:3f6d37644155fb5beca5378feb8c1708d5783145f2a0f1c4d5a061a210254844"},
-    {file = "watchfiles-1.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:a36d8efe0f290835fd0f33da35042a1bb5dc0e83cbc092dcf69bce442579e88e"},
-    {file = "watchfiles-1.1.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:f57b396167a2565a4e8b5e56a5a1c537571733992b226f4f1197d79e94cf0ae5"},
-    {file = "watchfiles-1.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:421e29339983e1bebc281fab40d812742268ad057db4aee8c4d2bce0af43b741"},
-    {file = "watchfiles-1.1.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6e43d39a741e972bab5d8100b5cdacf69db64e34eb19b6e9af162bccf63c5cc6"},
-    {file = "watchfiles-1.1.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f537afb3276d12814082a2e9b242bdcf416c2e8fd9f799a737990a1dbe906e5b"},
-    {file = "watchfiles-1.1.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b2cd9e04277e756a2e2d2543d65d1e2166d6fd4c9b183f8808634fda23f17b14"},
-    {file = "watchfiles-1.1.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5f3f58818dc0b07f7d9aa7fe9eb1037aecb9700e63e1f6acfed13e9fef648f5d"},
-    {file = "watchfiles-1.1.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9bb9f66367023ae783551042d31b1d7fd422e8289eedd91f26754a66f44d5cff"},
-    {file = "watchfiles-1.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aebfd0861a83e6c3d1110b78ad54704486555246e542be3e2bb94195eabb2606"},
-    {file = "watchfiles-1.1.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:5fac835b4ab3c6487b5dbad78c4b3724e26bcc468e886f8ba8cc4306f68f6701"},
-    {file = "watchfiles-1.1.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:399600947b170270e80134ac854e21b3ccdefa11a9529a3decc1327088180f10"},
-    {file = "watchfiles-1.1.1-cp311-cp311-win32.whl", hash = "sha256:de6da501c883f58ad50db3a32ad397b09ad29865b5f26f64c24d3e3281685849"},
-    {file = "watchfiles-1.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:35c53bd62a0b885bf653ebf6b700d1bf05debb78ad9292cf2a942b23513dc4c4"},
-    {file = "watchfiles-1.1.1-cp311-cp311-win_arm64.whl", hash = "sha256:57ca5281a8b5e27593cb7d82c2ac927ad88a96ed406aa446f6344e4328208e9e"},
-    {file = "watchfiles-1.1.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:8c89f9f2f740a6b7dcc753140dd5e1ab9215966f7a3530d0c0705c83b401bd7d"},
-    {file = "watchfiles-1.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:bd404be08018c37350f0d6e34676bd1e2889990117a2b90070b3007f172d0610"},
-    {file = "watchfiles-1.1.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8526e8f916bb5b9a0a777c8317c23ce65de259422bba5b31325a6fa6029d33af"},
-    {file = "watchfiles-1.1.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2edc3553362b1c38d9f06242416a5d8e9fe235c204a4072e988ce2e5bb1f69f6"},
-    {file = "watchfiles-1.1.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:30f7da3fb3f2844259cba4720c3fc7138eb0f7b659c38f3bfa65084c7fc7abce"},
-    {file = "watchfiles-1.1.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f8979280bdafff686ba5e4d8f97840f929a87ed9cdf133cbbd42f7766774d2aa"},
-    {file = "watchfiles-1.1.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dcc5c24523771db3a294c77d94771abcfcb82a0e0ee8efd910c37c59ec1b31bb"},
-    {file = "watchfiles-1.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1db5d7ae38ff20153d542460752ff397fcf5c96090c1230803713cf3147a6803"},
-    {file = "watchfiles-1.1.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:28475ddbde92df1874b6c5c8aaeb24ad5be47a11f87cde5a28ef3835932e3e94"},
-    {file = "watchfiles-1.1.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:36193ed342f5b9842edd3532729a2ad55c4160ffcfa3700e0d54be496b70dd43"},
-    {file = "watchfiles-1.1.1-cp312-cp312-win32.whl", hash = "sha256:859e43a1951717cc8de7f4c77674a6d389b106361585951d9e69572823f311d9"},
-    {file = "watchfiles-1.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:91d4c9a823a8c987cce8fa2690923b069966dabb196dd8d137ea2cede885fde9"},
-    {file = "watchfiles-1.1.1-cp312-cp312-win_arm64.whl", hash = "sha256:a625815d4a2bdca61953dbba5a39d60164451ef34c88d751f6c368c3ea73d404"},
-    {file = "watchfiles-1.1.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:130e4876309e8686a5e37dba7d5e9bc77e6ed908266996ca26572437a5271e18"},
-    {file = "watchfiles-1.1.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5f3bde70f157f84ece3765b42b4a52c6ac1a50334903c6eaf765362f6ccca88a"},
-    {file = "watchfiles-1.1.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:14e0b1fe858430fc0251737ef3824c54027bedb8c37c38114488b8e131cf8219"},
-    {file = "watchfiles-1.1.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f27db948078f3823a6bb3b465180db8ebecf26dd5dae6f6180bd87383b6b4428"},
-    {file = "watchfiles-1.1.1-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:059098c3a429f62fc98e8ec62b982230ef2c8df68c79e826e37b895bc359a9c0"},
-    {file = "watchfiles-1.1.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bfb5862016acc9b869bb57284e6cb35fdf8e22fe59f7548858e2f971d045f150"},
-    {file = "watchfiles-1.1.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:319b27255aacd9923b8a276bb14d21a5f7ff82564c744235fc5eae58d95422ae"},
-    {file = "watchfiles-1.1.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c755367e51db90e75b19454b680903631d41f9e3607fbd941d296a020c2d752d"},
-    {file = "watchfiles-1.1.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:c22c776292a23bfc7237a98f791b9ad3144b02116ff10d820829ce62dff46d0b"},
-    {file = "watchfiles-1.1.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:3a476189be23c3686bc2f4321dd501cb329c0a0469e77b7b534ee10129ae6374"},
-    {file = "watchfiles-1.1.1-cp313-cp313-win32.whl", hash = "sha256:bf0a91bfb5574a2f7fc223cf95eeea79abfefa404bf1ea5e339c0c1560ae99a0"},
-    {file = "watchfiles-1.1.1-cp313-cp313-win_amd64.whl", hash = "sha256:52e06553899e11e8074503c8e716d574adeeb7e68913115c4b3653c53f9bae42"},
-    {file = "watchfiles-1.1.1-cp313-cp313-win_arm64.whl", hash = "sha256:ac3cc5759570cd02662b15fbcd9d917f7ecd47efe0d6b40474eafd246f91ea18"},
-    {file = "watchfiles-1.1.1-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:563b116874a9a7ce6f96f87cd0b94f7faf92d08d0021e837796f0a14318ef8da"},
-    {file = "watchfiles-1.1.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3ad9fe1dae4ab4212d8c91e80b832425e24f421703b5a42ef2e4a1e215aff051"},
-    {file = "watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce70f96a46b894b36eba678f153f052967a0d06d5b5a19b336ab0dbbd029f73e"},
-    {file = "watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:cb467c999c2eff23a6417e58d75e5828716f42ed8289fe6b77a7e5a91036ca70"},
-    {file = "watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:836398932192dae4146c8f6f737d74baeac8b70ce14831a239bdb1ca882fc261"},
-    {file = "watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:743185e7372b7bc7c389e1badcc606931a827112fbbd37f14c537320fca08620"},
-    {file = "watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:afaeff7696e0ad9f02cbb8f56365ff4686ab205fcf9c4c5b6fdfaaa16549dd04"},
-    {file = "watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3f7eb7da0eb23aa2ba036d4f616d46906013a68caf61b7fdbe42fc8b25132e77"},
-    {file = "watchfiles-1.1.1-cp313-cp313t-musllinux_1_1_aarch64.whl", hash = "sha256:831a62658609f0e5c64178211c942ace999517f5770fe9436be4c2faeba0c0ef"},
-    {file = "watchfiles-1.1.1-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:f9a2ae5c91cecc9edd47e041a930490c31c3afb1f5e6d71de3dc671bfaca02bf"},
-    {file = "watchfiles-1.1.1-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:d1715143123baeeaeadec0528bb7441103979a1d5f6fd0e1f915383fea7ea6d5"},
-    {file = "watchfiles-1.1.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:39574d6370c4579d7f5d0ad940ce5b20db0e4117444e39b6d8f99db5676c52fd"},
-    {file = "watchfiles-1.1.1-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7365b92c2e69ee952902e8f70f3ba6360d0d596d9299d55d7d386df84b6941fb"},
-    {file = "watchfiles-1.1.1-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bfff9740c69c0e4ed32416f013f3c45e2ae42ccedd1167ef2d805c000b6c71a5"},
-    {file = "watchfiles-1.1.1-cp314-cp314-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b27cf2eb1dda37b2089e3907d8ea92922b673c0c427886d4edc6b94d8dfe5db3"},
-    {file = "watchfiles-1.1.1-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:526e86aced14a65a5b0ec50827c745597c782ff46b571dbfe46192ab9e0b3c33"},
-    {file = "watchfiles-1.1.1-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:04e78dd0b6352db95507fd8cb46f39d185cf8c74e4cf1e4fbad1d3df96faf510"},
-    {file = "watchfiles-1.1.1-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5c85794a4cfa094714fb9c08d4a218375b2b95b8ed1666e8677c349906246c05"},
-    {file = "watchfiles-1.1.1-cp314-cp314-musllinux_1_1_aarch64.whl", hash = "sha256:74d5012b7630714b66be7b7b7a78855ef7ad58e8650c73afc4c076a1f480a8d6"},
-    {file = "watchfiles-1.1.1-cp314-cp314-musllinux_1_1_x86_64.whl", hash = "sha256:8fbe85cb3201c7d380d3d0b90e63d520f15d6afe217165d7f98c9c649654db81"},
-    {file = "watchfiles-1.1.1-cp314-cp314-win32.whl", hash = "sha256:3fa0b59c92278b5a7800d3ee7733da9d096d4aabcfabb9a928918bd276ef9b9b"},
-    {file = "watchfiles-1.1.1-cp314-cp314-win_amd64.whl", hash = "sha256:c2047d0b6cea13b3316bdbafbfa0c4228ae593d995030fda39089d36e64fc03a"},
-    {file = "watchfiles-1.1.1-cp314-cp314-win_arm64.whl", hash = "sha256:842178b126593addc05acf6fce960d28bc5fae7afbaa2c6c1b3a7b9460e5be02"},
-    {file = "watchfiles-1.1.1-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:88863fbbc1a7312972f1c511f202eb30866370ebb8493aef2812b9ff28156a21"},
-    {file = "watchfiles-1.1.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:55c7475190662e202c08c6c0f4d9e345a29367438cf8e8037f3155e10a88d5a5"},
-    {file = "watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f53fa183d53a1d7a8852277c92b967ae99c2d4dcee2bfacff8868e6e30b15f7"},
-    {file = "watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6aae418a8b323732fa89721d86f39ec8f092fc2af67f4217a2b07fd3e93c6101"},
-    {file = "watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f096076119da54a6080e8920cbdaac3dbee667eb91dcc5e5b78840b87415bd44"},
-    {file = "watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:00485f441d183717038ed2e887a7c868154f216877653121068107b227a2f64c"},
-    {file = "watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a55f3e9e493158d7bfdb60a1165035f1cf7d320914e7b7ea83fe22c6023b58fc"},
-    {file = "watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c91ed27800188c2ae96d16e3149f199d62f86c7af5f5f4d2c61a3ed8cd3666c"},
-    {file = "watchfiles-1.1.1-cp314-cp314t-musllinux_1_1_aarch64.whl", hash = "sha256:311ff15a0bae3714ffb603e6ba6dbfba4065ab60865d15a6ec544133bdb21099"},
-    {file = "watchfiles-1.1.1-cp314-cp314t-musllinux_1_1_x86_64.whl", hash = "sha256:a916a2932da8f8ab582f242c065f5c81bed3462849ca79ee357dd9551b0e9b01"},
-    {file = "watchfiles-1.1.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:c882d69f6903ef6092bedfb7be973d9319940d56b8427ab9187d1ecd73438a70"},
-    {file = "watchfiles-1.1.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d6ff426a7cb54f310d51bfe83fe9f2bbe40d540c741dc974ebc30e6aa238f52e"},
-    {file = "watchfiles-1.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79ff6c6eadf2e3fc0d7786331362e6ef1e51125892c75f1004bd6b52155fb956"},
-    {file = "watchfiles-1.1.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c1f5210f1b8fc91ead1283c6fd89f70e76fb07283ec738056cf34d51e9c1d62c"},
-    {file = "watchfiles-1.1.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b9c4702f29ca48e023ffd9b7ff6b822acdf47cb1ff44cb490a3f1d5ec8987e9c"},
-    {file = "watchfiles-1.1.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:acb08650863767cbc58bca4813b92df4d6c648459dcaa3d4155681962b2aa2d3"},
-    {file = "watchfiles-1.1.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:08af70fd77eee58549cd69c25055dc344f918d992ff626068242259f98d598a2"},
-    {file = "watchfiles-1.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c3631058c37e4a0ec440bf583bc53cdbd13e5661bb6f465bc1d88ee9a0a4d02"},
-    {file = "watchfiles-1.1.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:cf57a27fb986c6243d2ee78392c503826056ffe0287e8794503b10fb51b881be"},
-    {file = "watchfiles-1.1.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d7e7067c98040d646982daa1f37a33d3544138ea155536c2e0e63e07ff8a7e0f"},
-    {file = "watchfiles-1.1.1-cp39-cp39-win32.whl", hash = "sha256:6c9c9262f454d1c4d8aaa7050121eb4f3aea197360553699520767daebf2180b"},
-    {file = "watchfiles-1.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:74472234c8370669850e1c312490f6026d132ca2d396abfad8830b4f1c096957"},
-    {file = "watchfiles-1.1.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:17ef139237dfced9da49fb7f2232c86ca9421f666d78c264c7ffca6601d154c3"},
-    {file = "watchfiles-1.1.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:672b8adf25b1a0d35c96b5888b7b18699d27d4194bac8beeae75be4b7a3fc9b2"},
-    {file = "watchfiles-1.1.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77a13aea58bc2b90173bc69f2a90de8e282648939a00a602e1dc4ee23e26b66d"},
-    {file = "watchfiles-1.1.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b495de0bb386df6a12b18335a0285dda90260f51bdb505503c02bcd1ce27a8b"},
-    {file = "watchfiles-1.1.1-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:db476ab59b6765134de1d4fe96a1a9c96ddf091683599be0f26147ea1b2e4b88"},
-    {file = "watchfiles-1.1.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:89eef07eee5e9d1fda06e38822ad167a044153457e6fd997f8a858ab7564a336"},
-    {file = "watchfiles-1.1.1-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce19e06cbda693e9e7686358af9cd6f5d61312ab8b00488bc36f5aabbaf77e24"},
-    {file = "watchfiles-1.1.1-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3e6f39af2eab0118338902798b5aa6664f46ff66bc0280de76fca67a7f262a49"},
-    {file = "watchfiles-1.1.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:cdab464fee731e0884c35ae3588514a9bcf718d0e2c82169c1c4a85cc19c3c7f"},
-    {file = "watchfiles-1.1.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:3dbd8cbadd46984f802f6d479b7e3afa86c42d13e8f0f322d669d79722c8ec34"},
-    {file = "watchfiles-1.1.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5524298e3827105b61951a29c3512deb9578586abf3a7c5da4a8069df247cccc"},
-    {file = "watchfiles-1.1.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b943d3668d61cfa528eb949577479d3b077fd25fb83c641235437bc0b5bc60e"},
-    {file = "watchfiles-1.1.1.tar.gz", hash = "sha256:a173cb5c16c4f40ab19cecf48a534c409f7ea983ab8fed0741304a1c0a31b3f2"},
-]
-
-[package.dependencies]
-anyio = ">=3.0.0"
-
-[[package]]
-name = "wcmatch"
-version = "10.1"
-description = "Wildcard/glob file name matcher."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "wcmatch-10.1-py3-none-any.whl", hash = "sha256:5848ace7dbb0476e5e55ab63c6bbd529745089343427caa5537f230cc01beb8a"},
-    {file = "wcmatch-10.1.tar.gz", hash = "sha256:f11f94208c8c8484a16f4f48638a85d771d9513f4ab3f37595978801cb9465af"},
-]
-
-[package.dependencies]
-bracex = ">=2.1.1"
-
-[[package]]
-name = "wcwidth"
-version = "0.5.0"
-description = "Measures the displayed width of unicode strings in a terminal"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev", "shiny"]
-files = [
-    {file = "wcwidth-0.5.0-py3-none-any.whl", hash = "sha256:1efe1361b83b0ff7877b81ba57c8562c99cf812158b778988ce17ec061095695"},
-    {file = "wcwidth-0.5.0.tar.gz", hash = "sha256:f89c103c949a693bf563377b2153082bf58e309919dfb7f27b04d862a0089333"},
-]
-markers = {shiny = "platform_system != \"Emscripten\""}
-
-[[package]]
-name = "webcolors"
-version = "25.10.0"
-description = "A library for working with the color formats defined by HTML and CSS."
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-files = [
-    {file = "webcolors-25.10.0-py3-none-any.whl", hash = "sha256:032c727334856fc0b968f63daa252a1ac93d33db2f5267756623c210e57a4f1d"},
-    {file = "webcolors-25.10.0.tar.gz", hash = "sha256:62abae86504f66d0f6364c2a8520de4a0c47b80c03fc3a5f1815fedbef7c19bf"},
-]
-
-[[package]]
-name = "webencodings"
-version = "0.5.1"
-description = "Character encoding aliases for legacy web content"
-optional = false
-python-versions = "*"
-groups = ["dev"]
-files = [
-    {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
-    {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
-]
-
-[[package]]
-name = "websocket-client"
-version = "1.9.0"
-description = "WebSocket client for Python with low level API options"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "websocket_client-1.9.0-py3-none-any.whl", hash = "sha256:af248a825037ef591efbf6ed20cc5faa03d3b47b9e5a2230a529eeee1c1fc3ef"},
-    {file = "websocket_client-1.9.0.tar.gz", hash = "sha256:9e813624b6eb619999a97dc7958469217c3176312b3a16a4bd1bc7e08a46ec98"},
-]
-
-[package.extras]
-docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx_rtd_theme (>=1.1.0)"]
-optional = ["python-socks", "wsaccel"]
-test = ["pytest", "websockets"]
-
-[[package]]
-name = "websockets"
-version = "16.0"
-description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
-optional = false
-python-versions = ">=3.10"
-groups = ["shiny"]
-files = [
-    {file = "websockets-16.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:04cdd5d2d1dacbad0a7bf36ccbcd3ccd5a30ee188f2560b7a62a30d14107b31a"},
-    {file = "websockets-16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8ff32bb86522a9e5e31439a58addbb0166f0204d64066fb955265c4e214160f0"},
-    {file = "websockets-16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:583b7c42688636f930688d712885cf1531326ee05effd982028212ccc13e5957"},
-    {file = "websockets-16.0-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:7d837379b647c0c4c2355c2499723f82f1635fd2c26510e1f587d89bc2199e72"},
-    {file = "websockets-16.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:df57afc692e517a85e65b72e165356ed1df12386ecb879ad5693be08fac65dde"},
-    {file = "websockets-16.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:2b9f1e0d69bc60a4a87349d50c09a037a2607918746f07de04df9e43252c77a3"},
-    {file = "websockets-16.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:335c23addf3d5e6a8633f9f8eda77efad001671e80b95c491dd0924587ece0b3"},
-    {file = "websockets-16.0-cp310-cp310-win32.whl", hash = "sha256:37b31c1623c6605e4c00d466c9d633f9b812ea430c11c8a278774a1fde1acfa9"},
-    {file = "websockets-16.0-cp310-cp310-win_amd64.whl", hash = "sha256:8e1dab317b6e77424356e11e99a432b7cb2f3ec8c5ab4dabbcee6add48f72b35"},
-    {file = "websockets-16.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:31a52addea25187bde0797a97d6fc3d2f92b6f72a9370792d65a6e84615ac8a8"},
-    {file = "websockets-16.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:417b28978cdccab24f46400586d128366313e8a96312e4b9362a4af504f3bbad"},
-    {file = "websockets-16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:af80d74d4edfa3cb9ed973a0a5ba2b2a549371f8a741e0800cb07becdd20f23d"},
-    {file = "websockets-16.0-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:08d7af67b64d29823fed316505a89b86705f2b7981c07848fb5e3ea3020c1abe"},
-    {file = "websockets-16.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7be95cfb0a4dae143eaed2bcba8ac23f4892d8971311f1b06f3c6b78952ee70b"},
-    {file = "websockets-16.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d6297ce39ce5c2e6feb13c1a996a2ded3b6832155fcfc920265c76f24c7cceb5"},
-    {file = "websockets-16.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:1c1b30e4f497b0b354057f3467f56244c603a79c0d1dafce1d16c283c25f6e64"},
-    {file = "websockets-16.0-cp311-cp311-win32.whl", hash = "sha256:5f451484aeb5cafee1ccf789b1b66f535409d038c56966d6101740c1614b86c6"},
-    {file = "websockets-16.0-cp311-cp311-win_amd64.whl", hash = "sha256:8d7f0659570eefb578dacde98e24fb60af35350193e4f56e11190787bee77dac"},
-    {file = "websockets-16.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:71c989cbf3254fbd5e84d3bff31e4da39c43f884e64f2551d14bb3c186230f00"},
-    {file = "websockets-16.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:8b6e209ffee39ff1b6d0fa7bfef6de950c60dfb91b8fcead17da4ee539121a79"},
-    {file = "websockets-16.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:86890e837d61574c92a97496d590968b23c2ef0aeb8a9bc9421d174cd378ae39"},
-    {file = "websockets-16.0-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:9b5aca38b67492ef518a8ab76851862488a478602229112c4b0d58d63a7a4d5c"},
-    {file = "websockets-16.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e0334872c0a37b606418ac52f6ab9cfd17317ac26365f7f65e203e2d0d0d359f"},
-    {file = "websockets-16.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a0b31e0b424cc6b5a04b8838bbaec1688834b2383256688cf47eb97412531da1"},
-    {file = "websockets-16.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:485c49116d0af10ac698623c513c1cc01c9446c058a4e61e3bf6c19dff7335a2"},
-    {file = "websockets-16.0-cp312-cp312-win32.whl", hash = "sha256:eaded469f5e5b7294e2bdca0ab06becb6756ea86894a47806456089298813c89"},
-    {file = "websockets-16.0-cp312-cp312-win_amd64.whl", hash = "sha256:5569417dc80977fc8c2d43a86f78e0a5a22fee17565d78621b6bb264a115d4ea"},
-    {file = "websockets-16.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:878b336ac47938b474c8f982ac2f7266a540adc3fa4ad74ae96fea9823a02cc9"},
-    {file = "websockets-16.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:52a0fec0e6c8d9a784c2c78276a48a2bdf099e4ccc2a4cad53b27718dbfd0230"},
-    {file = "websockets-16.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:e6578ed5b6981005df1860a56e3617f14a6c307e6a71b4fff8c48fdc50f3ed2c"},
-    {file = "websockets-16.0-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:95724e638f0f9c350bb1c2b0a7ad0e83d9cc0c9259f3ea94e40d7b02a2179ae5"},
-    {file = "websockets-16.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c0204dc62a89dc9d50d682412c10b3542d748260d743500a85c13cd1ee4bde82"},
-    {file = "websockets-16.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:52ac480f44d32970d66763115edea932f1c5b1312de36df06d6b219f6741eed8"},
-    {file = "websockets-16.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6e5a82b677f8f6f59e8dfc34ec06ca6b5b48bc4fcda346acd093694cc2c24d8f"},
-    {file = "websockets-16.0-cp313-cp313-win32.whl", hash = "sha256:abf050a199613f64c886ea10f38b47770a65154dc37181bfaff70c160f45315a"},
-    {file = "websockets-16.0-cp313-cp313-win_amd64.whl", hash = "sha256:3425ac5cf448801335d6fdc7ae1eb22072055417a96cc6b31b3861f455fbc156"},
-    {file = "websockets-16.0-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:8cc451a50f2aee53042ac52d2d053d08bf89bcb31ae799cb4487587661c038a0"},
-    {file = "websockets-16.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:daa3b6ff70a9241cf6c7fc9e949d41232d9d7d26fd3522b1ad2b4d62487e9904"},
-    {file = "websockets-16.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:fd3cb4adb94a2a6e2b7c0d8d05cb94e6f1c81a0cf9dc2694fb65c7e8d94c42e4"},
-    {file = "websockets-16.0-cp314-cp314-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:781caf5e8eee67f663126490c2f96f40906594cb86b408a703630f95550a8c3e"},
-    {file = "websockets-16.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:caab51a72c51973ca21fa8a18bd8165e1a0183f1ac7066a182ff27107b71e1a4"},
-    {file = "websockets-16.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:19c4dc84098e523fd63711e563077d39e90ec6702aff4b5d9e344a60cb3c0cb1"},
-    {file = "websockets-16.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:a5e18a238a2b2249c9a9235466b90e96ae4795672598a58772dd806edc7ac6d3"},
-    {file = "websockets-16.0-cp314-cp314-win32.whl", hash = "sha256:a069d734c4a043182729edd3e9f247c3b2a4035415a9172fd0f1b71658a320a8"},
-    {file = "websockets-16.0-cp314-cp314-win_amd64.whl", hash = "sha256:c0ee0e63f23914732c6d7e0cce24915c48f3f1512ec1d079ed01fc629dab269d"},
-    {file = "websockets-16.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:a35539cacc3febb22b8f4d4a99cc79b104226a756aa7400adc722e83b0d03244"},
-    {file = "websockets-16.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:b784ca5de850f4ce93ec85d3269d24d4c82f22b7212023c974c401d4980ebc5e"},
-    {file = "websockets-16.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:569d01a4e7fba956c5ae4fc988f0d4e187900f5497ce46339c996dbf24f17641"},
-    {file = "websockets-16.0-cp314-cp314t-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:50f23cdd8343b984957e4077839841146f67a3d31ab0d00e6b824e74c5b2f6e8"},
-    {file = "websockets-16.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:152284a83a00c59b759697b7f9e9cddf4e3c7861dd0d964b472b70f78f89e80e"},
-    {file = "websockets-16.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:bc59589ab64b0022385f429b94697348a6a234e8ce22544e3681b2e9331b5944"},
-    {file = "websockets-16.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:32da954ffa2814258030e5a57bc73a3635463238e797c7375dc8091327434206"},
-    {file = "websockets-16.0-cp314-cp314t-win32.whl", hash = "sha256:5a4b4cc550cb665dd8a47f868c8d04c8230f857363ad3c9caf7a0c3bf8c61ca6"},
-    {file = "websockets-16.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b14dc141ed6d2dde437cddb216004bcac6a1df0935d79656387bd41632ba0bbd"},
-    {file = "websockets-16.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:349f83cd6c9a415428ee1005cadb5c2c56f4389bc06a9af16103c3bc3dcc8b7d"},
-    {file = "websockets-16.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:4a1aba3340a8dca8db6eb5a7986157f52eb9e436b74813764241981ca4888f03"},
-    {file = "websockets-16.0-pp311-pypy311_pp73-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:f4a32d1bd841d4bcbffdcb3d2ce50c09c3909fbead375ab28d0181af89fd04da"},
-    {file = "websockets-16.0-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0298d07ee155e2e9fda5be8a9042200dd2e3bb0b8a38482156576f863a9d457c"},
-    {file = "websockets-16.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:a653aea902e0324b52f1613332ddf50b00c06fdaf7e92624fbf8c77c78fa5767"},
-    {file = "websockets-16.0-py3-none-any.whl", hash = "sha256:1637db62fad1dc833276dded54215f2c7fa46912301a24bd94d45d46a011ceec"},
-    {file = "websockets-16.0.tar.gz", hash = "sha256:5f6261a5e56e8d5c42a4497b364ea24d94d9563e8fbd44e78ac40879c60179b5"},
-]
-
-[[package]]
-name = "widgetsnbextension"
-version = "4.0.15"
-description = "Jupyter interactive widgets for Jupyter Notebook"
-optional = false
-python-versions = ">=3.7"
-groups = ["dev"]
-files = [
-    {file = "widgetsnbextension-4.0.15-py3-none-any.whl", hash = "sha256:8156704e4346a571d9ce73b84bee86a29906c9abfd7223b7228a28899ccf3366"},
-    {file = "widgetsnbextension-4.0.15.tar.gz", hash = "sha256:de8610639996f1567952d763a5a41af8af37f2575a41f9852a38f947eb82a3b9"},
-]
-
-[[package]]
-name = "xarray"
-version = "2025.6.1"
-description = "N-D labeled arrays and datasets in Python"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "xarray-2025.6.1-py3-none-any.whl", hash = "sha256:8b988b47f67a383bdc3b04c5db475cd165e580134c1f1943d52aee4a9c97651b"},
-    {file = "xarray-2025.6.1.tar.gz", hash = "sha256:a84f3f07544634a130d7dc615ae44175419f4c77957a7255161ed99c69c7c8b0"},
-]
-
-[package.dependencies]
-numpy = ">=1.24"
-packaging = ">=23.2"
-pandas = ">=2.1"
-
-[package.extras]
-accel = ["bottleneck", "flox", "numba (>=0.54)", "numbagg", "opt_einsum", "scipy"]
-complete = ["xarray[accel,etc,io,parallel,viz]"]
-etc = ["sparse"]
-io = ["cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap ; python_version < \"3.10\"", "scipy", "zarr"]
-parallel = ["dask[complete]"]
-types = ["pandas-stubs", "scipy-stubs", "types-PyYAML", "types-Pygments", "types-colorama", "types-decorator", "types-defusedxml", "types-docutils", "types-networkx", "types-openpyxl", "types-pexpect", "types-psutil", "types-pycurl", "types-python-dateutil", "types-pytz", "types-setuptools"]
-viz = ["cartopy", "matplotlib", "nc-time-axis", "seaborn"]
-
-[[package]]
-name = "xarray"
-version = "2026.1.0"
-description = "N-D labeled arrays and datasets in Python"
-optional = false
-python-versions = ">=3.11"
-groups = ["main"]
-markers = "python_version >= \"3.11\""
-files = [
-    {file = "xarray-2026.1.0-py3-none-any.whl", hash = "sha256:5fcc03d3ed8dfb662aa254efe6cd65efc70014182bbc2126e4b90d291d970d41"},
-    {file = "xarray-2026.1.0.tar.gz", hash = "sha256:0c9814761f9d9a9545df37292d3fda89f83201f3e02ae0f09f03313d9cfdd5e2"},
-]
-
-[package.dependencies]
-numpy = ">=1.26"
-packaging = ">=24.1"
-pandas = ">=2.2"
-
-[package.extras]
-accel = ["bottleneck", "flox (>=0.9)", "numba (>=0.62)", "numbagg (>=0.8)", "opt_einsum", "scipy (>=1.13)"]
-complete = ["xarray[accel,etc,io,parallel,viz]"]
-etc = ["sparse (>=0.15)"]
-io = ["cftime", "fsspec", "h5netcdf (>=1.4.0)", "netCDF4 (>=1.6.0)", "pooch", "pydap", "scipy (>=1.13)", "zarr (>=2.18)"]
-parallel = ["dask[complete]"]
-types = ["pandas-stubs", "scipy-stubs", "types-PyYAML", "types-Pygments", "types-colorama", "types-decorator", "types-defusedxml", "types-docutils", "types-networkx", "types-openpyxl", "types-pexpect", "types-psutil", "types-pycurl", "types-python-dateutil", "types-pytz", "types-requests", "types-setuptools"]
-viz = ["cartopy (>=0.23)", "matplotlib (>=3.8)", "nc-time-axis", "seaborn"]
-
-[[package]]
-name = "xmltodict"
-version = "1.0.2"
-description = "Makes working with XML feel like you are working with JSON"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "xmltodict-1.0.2-py3-none-any.whl", hash = "sha256:62d0fddb0dcbc9f642745d8bbf4d81fd17d6dfaec5a15b5c1876300aad92af0d"},
-    {file = "xmltodict-1.0.2.tar.gz", hash = "sha256:54306780b7c2175a3967cad1db92f218207e5bc1aba697d887807c0fb68b7649"},
-]
-
-[package.extras]
-test = ["pytest", "pytest-cov"]
-
-[[package]]
-name = "zipp"
-version = "3.23.0"
-description = "Backport of pathlib-compatible object wrapper for zip files"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev-benchmark"]
-files = [
-    {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"},
-    {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"},
-]
-
-[package.extras]
-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", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
-type = ["pytest-mypy"]
-
-[metadata]
-lock-version = "2.1"
-python-versions = ">=3.10,<3.14"
-content-hash = "9abbd14c5fff30cf1a3cd335f2347584eac1492285d0587905d422c71109aa37"
diff --git a/pyproject.toml b/pyproject.toml
index f8852c5b..515d59ea 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,95 +4,80 @@ version = "0.5.0b18"
 description = "The Hyperscanning Python Pipeline."
 readme = "README.md"
 license = "BSD-3-Clause"
-classifiers=[
+requires-python = ">=3.11"
+classifiers = [
     "Development Status :: 4 - Beta",
-    "Topic :: Scientific/Engineering"]
-keywords=["hyperscanning", "neuroscience", "pipeline", "statistics", "visualization"]
+    "Topic :: Scientific/Engineering",
+]
+keywords = ["hyperscanning", "neuroscience", "pipeline", "statistics", "visualization"]
+
+dependencies = [
+    "autoreject>=0.4.3",
+    "certifi>=2022.12.07",
+    "importlib-resources>=6.0.0",
+    "matplotlib>=3.7.2",
+    "meshio>=5.3.4",
+    "mistune>=2.0.4",
+    "mne>=1.3",
+    "mne-connectivity>=0.7.0",
+    "numpy>=2.2.3",
+    "pandas>=2.0.3",
+    "pillow>=11.3.0",
+    "pyarrow>=20.0.0",
+    "pywavelets>=1.8.0",
+    "pyxdf>=1.17.0",
+    "requests>=2.32.4",
+    "scikit-image>=0.25.2",
+    "scipy>=1.17.1",
+    "seaborn>=0.13.2",
+    "snirf>=0.8.0",
+    "statsmodels>=0.14.4",
+    "tqdm>=4.46.0",
+    "urllib3>=2.5.0",
+]
+
+[project.optional-dependencies]
+shiny = ["shiny>=1.1.0"]
+numba = ["numba>=0.60.0"]
+torch = ["torch>=2.0.0"]
 
 [project.urls]
 Homepage = "https://github.com/ppsp-team/HyPyP"
 Repository = "https://github.com/ppsp-team/HyPyP"
 Documentation = "https://hypyp.readthedocs.io"
 
-[tool.poetry]
-packages = [{include = "hypyp"}]
-
-[tool.poetry.dependencies]
-python = ">=3.10,<3.14"
-autoreject = ">=0.4.3"
-matplotlib = ">=3.7.2"
-pandas = ">=2.0.3"
-meshio = ">=5.3.4"
-tqdm = ">=4.46.0"
-scipy = ">=1.11.1,<1.17.0"
-mne = ">=1.3"
-mistune = ">=2.0.4"
-certifi = ">=2022.12.07"
-importlib-resources = ">=6.0.0"
-statsmodels = ">=0.14.4"
-numpy = ">=2.2.3"
-black = ">=25.1.0"
-pyarrow = ">=20.0.0"
-seaborn = ">=0.13.2"
-mne-connectivity = ">=0.7.0"
-scikit-image = ">=0.25.2"
-pywavelets = ">=1.8.0"
-pyxdf = ">=1.17.0"
-urllib3 = ">=2.5.0"
-requests = ">=2.32.4"
-pillow = ">=11.3.0"
-snirf = ">=0.8.0"
-
-[tool.poetry.group.optim_torch]
-optional = true
-
-[tool.poetry.group.optim_torch.dependencies]
-torch = ">=2.0.0"
-
-[tool.poetry.group.optim_numba]
-optional = true
-
-[tool.poetry.group.optim_numba.dependencies]
-numba = ">=0.60.0"
-
-[tool.poetry.group.dev_benchmark]
-optional = true
-
-[tool.poetry.group.dev_benchmark.dependencies]
-doit = ">=0.36.0"
-
-[tool.poetry.group.dev.dependencies]
-mkdocs = ">=1.3.0"
-mkdocs-material = ">=8.2.15"
-pylint = ">=2.4.4"
-widgetsnbextension = ">=3.5.1"
-ipywidgets = ">=7.5.1"
-livereload = ">=2.6.3"
-ipykernel = ">=6.19.4"
-pytest = ">=7.2.0"
-pytest-mock = ">=3.14.0"
-pytest-watch = ">=4.2.0"
-mkdocstrings = ">=0.20.0"
-mkdocstrings-python-legacy = ">=0.2.3"
-jupyterlab = ">=4.3.5"
-mkdocs-include-markdown-plugin = ">=7.1.5"
-mkdocstrings-python = ">=1.1.0"
-tabulate = ">=0.9.0"
-notebook = ">=7.4.3"
-pyqt6 = ">=6.10.2"
-
-[tool.poetry.group.shiny.dependencies]
-shiny = ">=1.1.0"
-
-[tool.dephell.main]
-from = {format = "poetry", path = "pyproject.toml"}
-to = {format = "setuppy", path = "setup.py"}
+[dependency-groups]
+dev = [
+    "black>=25.1.0",
+    "ipykernel>=6.19.4",
+    "ipywidgets>=7.5.1",
+    "jupyterlab>=4.3.5",
+    "livereload>=2.6.3",
+    "mkdocs>=1.3.0",
+    "mkdocs-include-markdown-plugin>=7.1.5",
+    "mkdocs-material>=8.2.15",
+    "mkdocstrings>=0.20.0",
+    "mkdocstrings-python>=1.1.0",
+    "mkdocstrings-python-legacy>=0.2.3",
+    "notebook>=7.4.3",
+    "pylint>=2.4.4",
+    "pyqt6>=6.10.2",
+    "pytest>=7.2.0",
+    "pytest-mock>=3.14.0",
+    "pytest-watch>=4.2.0",
+    "tabulate>=0.9.0",
+    "widgetsnbextension>=3.5.1",
+]
+benchmark = [
+    "doit>=0.36.0",
+]
 
 [build-system]
-requires = ["poetry-core"]
-build-backend = "poetry.core.masonry.api"
-
-[tool.setuptools]
-packages = ["hypyp"]
+requires = ["setuptools>=61"]
+build-backend = "setuptools.build_meta"
 
+[tool.setuptools.packages.find]
+include = ["hypyp*"]
 
+[tool.setuptools.package-data]
+hypyp = ["data/*.obj"]
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tutorial/fnirs_getting_started.ipynb b/tutorial/fnirs_getting_started.ipynb
index 212fc03e..1ecc2ea2 100644
--- a/tutorial/fnirs_getting_started.ipynb
+++ b/tutorial/fnirs_getting_started.ipynb
@@ -18,7 +18,14 @@
     "\n",
     "For an in-depth exploration of wavelet transforms, see `tutorial/wavelet_exploration.ipynb`\n",
     "\n",
-    "For an complete walkthrough of fnirs data inspection at every step, see `tutorial/fnirs_recording_inspection.ipynb`\n"
+    "For an complete walkthrough of fnirs data inspection at every step, see `tutorial/fnirs_recording_inspection.ipynb`\n",
+    "\n",
+    "> **⚠️ IMPORTANT**\n",
+    "> The following example **does *not*** include any regressors for removing physiological contributions from the fNIRS signal (such as cardiac pulsation, respiration, Mayer waves, etc.).  \n",
+    ">  \n",
+    "> Applying only a low‑pass filter, as demonstrated here, is **not sufficient** for proper preprocessing.  \n",
+    ">  \n",
+    "> Please consult the appropriate scientific literature to ensure you understand best practices for **fNIRS preprocessing**, including the use of physiological noise regressors and other recommended correction techniques.\n"
    ]
   },
   {
@@ -30,7 +37,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2025-07-03T19:36:48.269481Z",
@@ -41,6 +48,7 @@
    },
    "outputs": [],
    "source": [
+    "import os\n",
     "import re\n",
     "from collections import OrderedDict, defaultdict\n",
     "import matplotlib.pyplot as plt"
@@ -48,7 +56,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2025-07-03T19:36:48.855520Z",
@@ -71,26 +79,28 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Download and load raw data from disk\n",
+    "## Prepare file paths\n",
     "\n",
-    "To use as example, we download the dataset \"Dataset of parent-child hyperscanning fNIRS recordings\" from https://researchdata.ntu.edu.sg/dataset.xhtml?persistentId=doi:10.21979/N9/35DNCW\n"
+    "We pretend they are hyperscanning for demo only. But originally they are different segments of the same recording.\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-07-03T19:36:51.052854Z",
-     "iopub.status.busy": "2025-07-03T19:36:51.052125Z",
-     "iopub.status.idle": "2025-07-03T19:36:52.869254Z",
-     "shell.execute_reply": "2025-07-03T19:36:52.868094Z"
-    }
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "browser = fnirs.DataBrowser()\n",
-    "dir = browser.download_demo_dataset()\n"
+    "dyad_paths = {\n",
+    "    'teamA': {\n",
+    "        'child': os.path.join('..', 'data', 'NIRS', 'sample_1.snirf'),\n",
+    "        'parent': os.path.join('..', 'data', 'NIRS', 'sample_2.snirf'),\n",
+    "    },\n",
+    "    'teamB': {\n",
+    "        'child': os.path.join('..', 'data', 'NIRS', 'sample_3.snirf'),\n",
+    "        'parent': os.path.join('..', 'data', 'NIRS', 'sample_4.snirf'),\n",
+    "    }\n",
+    "}\n",
+    "\n"
    ]
   },
   {
@@ -100,50 +110,18 @@
     "Prepare dyads paths (parent+child) for file loading"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-07-03T19:36:52.873183Z",
-     "iopub.status.busy": "2025-07-03T19:36:52.872928Z",
-     "iopub.status.idle": "2025-07-03T19:36:52.938378Z",
-     "shell.execute_reply": "2025-07-03T19:36:52.937450Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "# Get the paths for dyads\n",
-    "\n",
-    "paths = [path for path in browser.list_all_files() if 'fathers' in path]\n",
-    "\n",
-    "dyad_paths = defaultdict(dict)\n",
-    "\n",
-    "for path in paths:\n",
-    "    m = re.search(r'(FCS\\d\\d)', path)\n",
-    "    dyad_label = m.group(1)\n",
-    "\n",
-    "    if 'child' in path:\n",
-    "        dyad_paths[dyad_label]['child'] = path\n",
-    "\n",
-    "    if 'parent' in path:\n",
-    "        dyad_paths[dyad_label]['parent'] = path\n",
-    "\n",
-    "print(dyad_paths)\n"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Regions of Interest\n",
     "\n",
-    "Let's define some region of interest, from https://www.nature.com/articles/s41598-019-47810-4 Figure 3."
+    "Let's define some region of interest."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2025-07-03T19:36:52.943056Z",
@@ -154,39 +132,25 @@
    },
    "outputs": [],
    "source": [
-    "# dummy values\n",
+    "\n",
     "channel_roi = fnirs.ChannelROI(OrderedDict({\n",
-    "    'frontal_left': [\n",
-    "        'S2_D3 hbo', # 4,\n",
-    "        'S3_D3 hbo', # 6,\n",
-    "        'S3_D4 hbo', # 7,\n",
-    "        'S5_D3 hbo', # 11,\n",
-    "    ],\n",
-    "    'medial_left':[\n",
-    "        'S1_D1 hbo', # 1,\n",
-    "        'S1_D2 hbo', # 2,\n",
-    "        'S2_D1 hbo', # 3,\n",
-    "        'S3_D2 hbo', # 5,\n",
-    "        'S4_D2 hbo', # 8,\n",
-    "    ],\n",
-    "    'central': [\n",
-    "        'S4_D4 hbo', # 9,\n",
-    "        'S5_D4 hbo', # 12,\n",
-    "    ],\n",
-    "    'frontal_right': [\n",
-    "        'S5_D6 hbo', # 13,\n",
-    "        'S6_D4 hbo', # 14,\n",
-    "        'S6_D6 hbo', # 16,\n",
-    "        'S8_D6 hbo', # 19,\n",
-    "    ],\n",
-    "    'medial_right':[\n",
-    "        'S4_D5 hbo', # 10,\n",
-    "        'S6_D5 hbo', # 15,\n",
-    "        'S7_D5 hbo', # 17,\n",
-    "        'S7_D7 hbo', # 18,\n",
-    "        'S8_D7 hbo', # 20\n",
-    "    ],\n",
-    "}))\n"
+    "     'PreFr_L': [ 'S1_D9 hbo', 'S2_D9 hbo', 'S2_D2 hbo', 'S1_D2 hbo', 'S2_D1 hbo', ],\n",
+    "     'DPFC_L': [ 'S3_D1 hbo', 'S3_D2 hbo', ],\n",
+    "     'FrTemp_L': [ 'S4_D2 hbo', 'S4_D3 hbo', 'S4_D4 hbo', ],\n",
+    "     'InfFr_L': [ 'S1_D3 hbo', 'S1_D4 hbo', 'S5_D3 hbo', ],\n",
+    "     'Temp_L': [ 'S5_D5 hbo', 'S5_D7 hbo', 'S5_D4 hbo', 'S4_D5 hbo', ],\n",
+    "     'TempPost_L': [ 'S6_D8 hbo', 'S7_D8 hbo', 'S6_D5 hbo', 'S6_D7 hbo', 'S7_D7 hbo', ],\n",
+    "     'TempPar_L': [ 'S6_D6 hbo', 'S8_D8 hbo', 'S8_D6 hbo', ],\n",
+    "     \n",
+    "     'PreFr_R': [ 'S9_D9 hbo', 'S10_D9 hbo', 'S10_D10 hbo', 'S9_D10 hbo', 'S10_D1 hbo', ],\n",
+    "     'DPFC_R': [ 'S11_D1 hbo', 'S11_D10 hbo', ],\n",
+    "     'FrTemp_R': [ 'S12_D10 hbo', 'S12_D11 hbo', 'S12_D12 hbo', ],\n",
+    "     'InfFr_R': [ 'S9_D11 hbo', 'S9_D12 hbo', 'S13_D11 hbo', ],\n",
+    "     'Temp_R': [ 'S13_D13 hbo', 'S13_D15 hbo', 'S13_D12 hbo', 'S12_D13 hbo', ],\n",
+    "     'TempPost_R': [ 'S14_D16 hbo', 'S15_D16 hbo', 'S14_D13 hbo', 'S14_D15 hbo', 'S15_D15 hbo', ],\n",
+    "     'TempPar_R': [ 'S14_D14 hbo', 'S16_D16 hbo', 'S16_D14 hbo', ],\n",
+    "}))\n",
+    "\n"
    ]
   },
   {
@@ -206,7 +170,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2025-07-03T19:36:52.977160Z",
@@ -215,7 +179,236 @@
      "shell.execute_reply": "2025-07-03T19:36:56.936763Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>dyad</th>\n",
+       "      <th>subject1</th>\n",
+       "      <th>subject2</th>\n",
+       "      <th>roi1</th>\n",
+       "      <th>roi2</th>\n",
+       "      <th>channel1</th>\n",
+       "      <th>channel2</th>\n",
+       "      <th>task</th>\n",
+       "      <th>epoch</th>\n",
+       "      <th>bin</th>\n",
+       "      <th>coherence</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>teamA</td>\n",
+       "      <td>alice</td>\n",
+       "      <td>bob</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>one_minute</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.185899</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>teamA</td>\n",
+       "      <td>alice</td>\n",
+       "      <td>bob</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>one_minute</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>teamA</td>\n",
+       "      <td>alice</td>\n",
+       "      <td>bob</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>one_minute</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>teamA</td>\n",
+       "      <td>alice</td>\n",
+       "      <td>bob</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>one_minute</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.240780</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>teamA</td>\n",
+       "      <td>alice</td>\n",
+       "      <td>bob</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>one_minute</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0.406207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>91807</th>\n",
+       "      <td>bob(intra)</td>\n",
+       "      <td>bob</td>\n",
+       "      <td>bob</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>one_minute</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>91808</th>\n",
+       "      <td>bob(intra)</td>\n",
+       "      <td>bob</td>\n",
+       "      <td>bob</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>one_minute</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>91809</th>\n",
+       "      <td>bob(intra)</td>\n",
+       "      <td>bob</td>\n",
+       "      <td>bob</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>one_minute</td>\n",
+       "      <td>0</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>91810</th>\n",
+       "      <td>bob(intra)</td>\n",
+       "      <td>bob</td>\n",
+       "      <td>bob</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>one_minute</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>91811</th>\n",
+       "      <td>bob(intra)</td>\n",
+       "      <td>bob</td>\n",
+       "      <td>bob</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>one_minute</td>\n",
+       "      <td>0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>91812 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             dyad subject1 subject2     roi1     roi2     channel1  \\\n",
+       "0           teamA    alice      bob  PreFr_L  PreFr_L    S1_D9 hbo   \n",
+       "1           teamA    alice      bob  PreFr_L  PreFr_L    S1_D9 hbo   \n",
+       "2           teamA    alice      bob  PreFr_L  PreFr_L    S1_D9 hbo   \n",
+       "3           teamA    alice      bob  PreFr_L  PreFr_L    S1_D9 hbo   \n",
+       "4           teamA    alice      bob  PreFr_L  PreFr_L    S1_D9 hbo   \n",
+       "...           ...      ...      ...      ...      ...          ...   \n",
+       "91807  bob(intra)      bob      bob                    S10_D11 hbo   \n",
+       "91808  bob(intra)      bob      bob                    S10_D11 hbo   \n",
+       "91809  bob(intra)      bob      bob                    S10_D11 hbo   \n",
+       "91810  bob(intra)      bob      bob                    S10_D11 hbo   \n",
+       "91811  bob(intra)      bob      bob                    S10_D11 hbo   \n",
+       "\n",
+       "          channel2        task  epoch  bin  coherence  \n",
+       "0        S1_D9 hbo  one_minute      0    0   0.185899  \n",
+       "1        S1_D9 hbo  one_minute      0    1        NaN  \n",
+       "2        S1_D9 hbo  one_minute      0    2        NaN  \n",
+       "3        S1_D9 hbo  one_minute      0    3   0.240780  \n",
+       "4        S1_D9 hbo  one_minute      0    4   0.406207  \n",
+       "...            ...         ...    ...  ...        ...  \n",
+       "91807  S10_D11 hbo  one_minute      0    7   1.000000  \n",
+       "91808  S10_D11 hbo  one_minute      0    8   1.000000  \n",
+       "91809  S10_D11 hbo  one_minute      0    9   1.000000  \n",
+       "91810  S10_D11 hbo  one_minute      0   10        NaN  \n",
+       "91811  S10_D11 hbo  one_minute      0   11        NaN  \n",
+       "\n",
+       "[91812 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Get connectivity matrix intra-subject for validation\n",
     "\n",
@@ -259,7 +452,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2025-07-03T19:36:58.366588Z",
@@ -268,7 +461,18 @@
      "shell.execute_reply": "2025-07-03T19:37:00.104508Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "wtc = dyad.wtcs[0]\n",
     "_ = wtc.plot(use_periods=True)\n"
@@ -287,9 +491,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 0.98, 'alice / bob')"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x400 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig, axes = plt.subplots(1, 2, sharey=True, figsize=(12, 4))\n",
     "wtc.cwt1.plot(ax=axes[0])\n",
@@ -309,9 +534,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/pfortin/work/ppsp/HyPyP-uv/hypyp/fnirs/recording.py:391: UserWarning: No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n",
+      "  axes[j].legend()\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x1800 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x1800 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig = dyad.s1.plot_steps_for_channel(wtc.label_ch1)\n",
     "fig.suptitle(f\"{dyad.s1.subject_label}: \" + fig.get_suptitle())\n",
@@ -323,7 +577,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2025-07-03T19:37:00.110922Z",
@@ -332,16 +586,38 @@
      "shell.execute_reply": "2025-07-03T19:37:02.621603Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x800 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "_ = dyad.plot_coherence_matrix_per_channel().axes[0].set_title('Dyad coherence per channel')\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x800 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "\n",
     "_ = dyad.plot_coherence_matrix_per_roi().axes[0].set_title('Dyad coherence per region')\n"
@@ -367,7 +643,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2025-07-03T19:37:02.627170Z",
@@ -382,8 +658,8 @@
     "\n",
     "preprocessor = fnirs.MnePreprocessorRawToHaemo()\n",
     "tasks = [\n",
-    "    Task('first_minute', onset_time=0, duration=60),\n",
-    "    Task('second_minute', onset_time=60, duration=60),\n",
+    "    Task('first_half', onset_time=0, duration=50),\n",
+    "    Task('second_half', onset_time=50, duration=50),\n",
     "]\n",
     "\n",
     "n_dyads = 10\n",
@@ -421,7 +697,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2025-07-03T19:37:08.244962Z",
@@ -438,7 +714,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2025-07-03T19:37:08.281511Z",
@@ -447,7 +723,26 @@
      "shell.execute_reply": "2025-07-03T19:39:23.203853Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Time for computing one dyad: 34 seconds\n",
+      "Expected time for 2 dyads: 1.1 minutes\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<hypyp.fnirs.study.Study at 0x7ff24c466090>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "study.compute_wtcs(\n",
     "    ch_match='hbo',     # compute coherence only on oxyhemoglobin channels\n",
@@ -473,7 +768,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2025-07-03T19:39:25.769156Z",
@@ -482,16 +777,38 @@
      "shell.execute_reply": "2025-07-03T19:39:29.103789Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x800 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "_ = study.plot_coherence_matrix_per_channel(s1_label='Child', s2_label='Parent')\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x800 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "\n",
     "_ = study.plot_coherence_matrix_per_roi(s1_label='Child', s2_label='Parent')\n",
@@ -507,7 +824,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2025-07-03T19:39:29.107817Z",
@@ -516,7 +833,370 @@
      "shell.execute_reply": "2025-07-03T19:39:29.285738Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>dyad</th>\n",
+       "      <th>is_intra</th>\n",
+       "      <th>is_intra_of</th>\n",
+       "      <th>is_pseudo</th>\n",
+       "      <th>subject1</th>\n",
+       "      <th>subject2</th>\n",
+       "      <th>roi1</th>\n",
+       "      <th>roi2</th>\n",
+       "      <th>channel1</th>\n",
+       "      <th>channel2</th>\n",
+       "      <th>task</th>\n",
+       "      <th>epoch</th>\n",
+       "      <th>section</th>\n",
+       "      <th>bin</th>\n",
+       "      <th>coherence</th>\n",
+       "      <th>coherence_masked</th>\n",
+       "      <th>bin_time_range</th>\n",
+       "      <th>bin_period_range</th>\n",
+       "      <th>wavelet_library</th>\n",
+       "      <th>wavelet_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>teamA</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>alice</td>\n",
+       "      <td>bob</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>first_half</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.148185</td>\n",
+       "      <td>0.310000</td>\n",
+       "      <td>0-15</td>\n",
+       "      <td>2.0-4.8</td>\n",
+       "      <td>pywavelets</td>\n",
+       "      <td>cmor2,1[win:0.6]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>teamA</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>alice</td>\n",
+       "      <td>bob</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>first_half</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.703333</td>\n",
+       "      <td>0-15</td>\n",
+       "      <td>5.1-9.8</td>\n",
+       "      <td>pywavelets</td>\n",
+       "      <td>cmor2,1[win:0.6]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>teamA</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>alice</td>\n",
+       "      <td>bob</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>first_half</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0-15</td>\n",
+       "      <td>10.4-20.0</td>\n",
+       "      <td>pywavelets</td>\n",
+       "      <td>cmor2,1[win:0.6]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>teamA</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>alice</td>\n",
+       "      <td>bob</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>first_half</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.234416</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>15-30</td>\n",
+       "      <td>2.0-4.8</td>\n",
+       "      <td>pywavelets</td>\n",
+       "      <td>cmor2,1[win:0.6]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>teamA</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>alice</td>\n",
+       "      <td>bob</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>PreFr_L</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>S1_D9 hbo</td>\n",
+       "      <td>first_half</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0.403985</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>15-30</td>\n",
+       "      <td>5.1-9.8</td>\n",
+       "      <td>pywavelets</td>\n",
+       "      <td>cmor2,1[win:0.6]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>184531</th>\n",
+       "      <td>teamB</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>charlie</td>\n",
+       "      <td>dylan</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>second_half</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0.179679</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>15-30</td>\n",
+       "      <td>5.1-9.8</td>\n",
+       "      <td>pywavelets</td>\n",
+       "      <td>cmor2,1[win:0.6]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>184532</th>\n",
+       "      <td>teamB</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>charlie</td>\n",
+       "      <td>dylan</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>second_half</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0.305939</td>\n",
+       "      <td>0.493333</td>\n",
+       "      <td>15-30</td>\n",
+       "      <td>10.4-20.0</td>\n",
+       "      <td>pywavelets</td>\n",
+       "      <td>cmor2,1[win:0.6]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>184533</th>\n",
+       "      <td>teamB</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>charlie</td>\n",
+       "      <td>dylan</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>second_half</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0.543882</td>\n",
+       "      <td>0.007500</td>\n",
+       "      <td>30-44</td>\n",
+       "      <td>2.0-4.8</td>\n",
+       "      <td>pywavelets</td>\n",
+       "      <td>cmor2,1[win:0.6]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>184534</th>\n",
+       "      <td>teamB</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>charlie</td>\n",
+       "      <td>dylan</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>second_half</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0.269391</td>\n",
+       "      <td>0.303333</td>\n",
+       "      <td>30-44</td>\n",
+       "      <td>5.1-9.8</td>\n",
+       "      <td>pywavelets</td>\n",
+       "      <td>cmor2,1[win:0.6]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>184535</th>\n",
+       "      <td>teamB</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>charlie</td>\n",
+       "      <td>dylan</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>S10_D11 hbo</td>\n",
+       "      <td>second_half</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.883333</td>\n",
+       "      <td>30-44</td>\n",
+       "      <td>10.4-20.0</td>\n",
+       "      <td>pywavelets</td>\n",
+       "      <td>cmor2,1[win:0.6]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>92718 rows × 20 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         dyad  is_intra  is_intra_of  is_pseudo subject1 subject2     roi1  \\\n",
+       "0       teamA     False          NaN      False    alice      bob  PreFr_L   \n",
+       "1       teamA     False          NaN      False    alice      bob  PreFr_L   \n",
+       "2       teamA     False          NaN      False    alice      bob  PreFr_L   \n",
+       "3       teamA     False          NaN      False    alice      bob  PreFr_L   \n",
+       "4       teamA     False          NaN      False    alice      bob  PreFr_L   \n",
+       "...       ...       ...          ...        ...      ...      ...      ...   \n",
+       "184531  teamB     False          NaN      False  charlie    dylan            \n",
+       "184532  teamB     False          NaN      False  charlie    dylan            \n",
+       "184533  teamB     False          NaN      False  charlie    dylan            \n",
+       "184534  teamB     False          NaN      False  charlie    dylan            \n",
+       "184535  teamB     False          NaN      False  charlie    dylan            \n",
+       "\n",
+       "           roi2     channel1     channel2         task  epoch  section  bin  \\\n",
+       "0       PreFr_L    S1_D9 hbo    S1_D9 hbo   first_half      0        0    0   \n",
+       "1       PreFr_L    S1_D9 hbo    S1_D9 hbo   first_half      0        0    1   \n",
+       "2       PreFr_L    S1_D9 hbo    S1_D9 hbo   first_half      0        0    2   \n",
+       "3       PreFr_L    S1_D9 hbo    S1_D9 hbo   first_half      0        0    3   \n",
+       "4       PreFr_L    S1_D9 hbo    S1_D9 hbo   first_half      0        0    4   \n",
+       "...         ...          ...          ...          ...    ...      ...  ...   \n",
+       "184531           S10_D11 hbo  S10_D11 hbo  second_half      0        0    4   \n",
+       "184532           S10_D11 hbo  S10_D11 hbo  second_half      0        0    5   \n",
+       "184533           S10_D11 hbo  S10_D11 hbo  second_half      0        0    6   \n",
+       "184534           S10_D11 hbo  S10_D11 hbo  second_half      0        0    7   \n",
+       "184535           S10_D11 hbo  S10_D11 hbo  second_half      0        0    8   \n",
+       "\n",
+       "        coherence  coherence_masked bin_time_range bin_period_range  \\\n",
+       "0        0.148185          0.310000           0-15          2.0-4.8   \n",
+       "1             NaN          0.703333           0-15          5.1-9.8   \n",
+       "2             NaN          1.000000           0-15        10.4-20.0   \n",
+       "3        0.234416          0.000000          15-30          2.0-4.8   \n",
+       "4        0.403985          0.000000          15-30          5.1-9.8   \n",
+       "...           ...               ...            ...              ...   \n",
+       "184531   0.179679          0.000000          15-30          5.1-9.8   \n",
+       "184532   0.305939          0.493333          15-30        10.4-20.0   \n",
+       "184533   0.543882          0.007500          30-44          2.0-4.8   \n",
+       "184534   0.269391          0.303333          30-44          5.1-9.8   \n",
+       "184535        NaN          0.883333          30-44        10.4-20.0   \n",
+       "\n",
+       "       wavelet_library      wavelet_name  \n",
+       "0           pywavelets  cmor2,1[win:0.6]  \n",
+       "1           pywavelets  cmor2,1[win:0.6]  \n",
+       "2           pywavelets  cmor2,1[win:0.6]  \n",
+       "3           pywavelets  cmor2,1[win:0.6]  \n",
+       "4           pywavelets  cmor2,1[win:0.6]  \n",
+       "...                ...               ...  \n",
+       "184531      pywavelets  cmor2,1[win:0.6]  \n",
+       "184532      pywavelets  cmor2,1[win:0.6]  \n",
+       "184533      pywavelets  cmor2,1[win:0.6]  \n",
+       "184534      pywavelets  cmor2,1[win:0.6]  \n",
+       "184535      pywavelets  cmor2,1[win:0.6]  \n",
+       "\n",
+       "[92718 rows x 20 columns]"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "df = study.df[study.df['is_intra'] == False]\n",
     "df\n"
@@ -524,7 +1204,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2025-07-03T19:39:29.289230Z",
@@ -533,7 +1213,18 @@
      "shell.execute_reply": "2025-07-03T19:39:29.940449Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig, ax = plt.subplots(1, 1, figsize=(10, 10), subplot_kw={'projection': 'polar'})\n",
     "_ = study.plot_coherence_connectogram(s1_label='Child', s2_label='Parent', ax=ax)\n"
@@ -557,7 +1248,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2025-07-03T19:39:29.946514Z",
@@ -574,7 +1265,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2025-07-03T19:39:33.123533Z",
@@ -591,7 +1282,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2025-07-03T19:39:33.527826Z",
@@ -611,7 +1302,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "hypyp-synchro",
+   "display_name": "hypyp (3.12.11)",
    "language": "python",
    "name": "python3"
   },
diff --git a/tutorial/fnirs_recording_inspection.ipynb b/tutorial/fnirs_recording_inspection.ipynb
index 200f24af..306a60ae 100644
--- a/tutorial/fnirs_recording_inspection.ipynb
+++ b/tutorial/fnirs_recording_inspection.ipynb
@@ -17,6 +17,9 @@
    },
    "outputs": [],
    "source": [
+    "import os\n",
+    "import tempfile\n",
+    "\n",
     "import matplotlib.pyplot as plt\n",
     "import mne\n",
     "import numpy as np\n",
@@ -147,6 +150,7 @@
    "source": [
     "# Save all to png files, both CWT of amplitude and CWT of hemoglobin\n",
     "\n",
+    "temp_dir = tempfile.TemporaryDirectory()\n",
     "for rec in [rec_cw_amplitude, rec_haemo]:\n",
     "    for ch_name in rec.mne_preprocessed.ch_names:\n",
     "        if not ' 760' in ch_name and not ' hbo' in ch_name:\n",
@@ -155,8 +159,9 @@
     "        fig = rec.plot_steps_for_channel(ch_name)\n",
     "        # override title\n",
     "        fig.suptitle(title)\n",
-    "        fig_path = f\"../plots/{title.replace(' ', '_')}.png\"\n",
+    "        fig_path = os.path.join(temp_dir.name, f\"{title.replace(' ', '_')}.png\")\n",
     "        fig.savefig(fig_path)\n",
+    "        print(fig_path)\n",
     "        plt.close(fig)\n",
     "\n"
    ]
@@ -164,7 +169,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "hypyp-synchro",
+   "display_name": "hypyp (3.12.11)",
    "language": "python",
    "name": "python3"
   },
diff --git a/update_docs_requirements.sh b/update_docs_requirements.sh
index c0f6728a..f2a0b661 100755
--- a/update_docs_requirements.sh
+++ b/update_docs_requirements.sh
@@ -1,14 +1,5 @@
 REQUIREMENTS_PATH=docs/requirements.txt
 
-# Check if poetry export plugin is installed
-if ! poetry export --help &> /dev/null; then
-    echo "poetry-plugin-export not found. Installing..."
-    pip install poetry-plugin-export
-fi
-
-echo "upgrade pip"
-poetry run pip install --upgrade pip
-echo "poetry install"
-poetry install
-poetry export -f requirements.txt --with dev --without-hashes -o $REQUIREMENTS_PATH
-echo "hypyp==$(poetry run python -c 'import hypyp; print(hypyp.__version__)')" >> $REQUIREMENTS_PATH
+echo "Exporting docs requirements..."
+uv export --no-hashes --group dev --output-file $REQUIREMENTS_PATH
+echo "hypyp==$(uv run python -c 'import hypyp; print(hypyp.__version__)')" >> $REQUIREMENTS_PATH
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 00000000..d62f318d
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,4467 @@
+version = 1
+revision = 3
+requires-python = ">=3.11"
+resolution-markers = [
+    "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'",
+    "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'",
+    "python_full_version >= '3.14' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'",
+    "python_full_version < '3.12' and platform_machine == 'ARM64' and sys_platform == 'win32'",
+    "python_full_version < '3.12' and platform_machine != 'ARM64' and sys_platform == 'win32'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'",
+    "python_full_version < '3.12' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version < '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+]
+
+[[package]]
+name = "anyio"
+version = "4.12.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "idna" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/96/f0/5eb65b2bb0d09ac6776f2eb54adee6abe8228ea05b20a5ad0e4945de8aac/anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703", size = 228685, upload-time = "2026-01-06T11:45:21.246Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/38/0e/27be9fdef66e72d64c0cdc3cc2823101b80585f8119b5c112c2e8f5f7dab/anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c", size = 113592, upload-time = "2026-01-06T11:45:19.497Z" },
+]
+
+[[package]]
+name = "appnope"
+version = "0.1.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/35/5d/752690df9ef5b76e169e68d6a129fa6d08a7100ca7f754c89495db3c6019/appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee", size = 4170, upload-time = "2024-02-06T09:43:11.258Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/81/29/5ecc3a15d5a33e31b26c11426c45c501e439cb865d0bff96315d86443b78/appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c", size = 4321, upload-time = "2024-02-06T09:43:09.663Z" },
+]
+
+[[package]]
+name = "argon2-cffi"
+version = "25.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "argon2-cffi-bindings" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/0e/89/ce5af8a7d472a67cc819d5d998aa8c82c5d860608c4db9f46f1162d7dab9/argon2_cffi-25.1.0.tar.gz", hash = "sha256:694ae5cc8a42f4c4e2bf2ca0e64e51e23a040c6a517a85074683d3959e1346c1", size = 45706, upload-time = "2025-06-03T06:55:32.073Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/4f/d3/a8b22fa575b297cd6e3e3b0155c7e25db170edf1c74783d6a31a2490b8d9/argon2_cffi-25.1.0-py3-none-any.whl", hash = "sha256:fdc8b074db390fccb6eb4a3604ae7231f219aa669a2652e0f20e16ba513d5741", size = 14657, upload-time = "2025-06-03T06:55:30.804Z" },
+]
+
+[[package]]
+name = "argon2-cffi-bindings"
+version = "25.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cffi" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/5c/2d/db8af0df73c1cf454f71b2bbe5e356b8c1f8041c979f505b3d3186e520a9/argon2_cffi_bindings-25.1.0.tar.gz", hash = "sha256:b957f3e6ea4d55d820e40ff76f450952807013d361a65d7f28acc0acbf29229d", size = 1783441, upload-time = "2025-07-30T10:02:05.147Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/60/97/3c0a35f46e52108d4707c44b95cfe2afcafc50800b5450c197454569b776/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:3d3f05610594151994ca9ccb3c771115bdb4daef161976a266f0dd8aa9996b8f", size = 54393, upload-time = "2025-07-30T10:01:40.97Z" },
+    { url = "https://files.pythonhosted.org/packages/9d/f4/98bbd6ee89febd4f212696f13c03ca302b8552e7dbf9c8efa11ea4a388c3/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:8b8efee945193e667a396cbc7b4fb7d357297d6234d30a489905d96caabde56b", size = 29328, upload-time = "2025-07-30T10:01:41.916Z" },
+    { url = "https://files.pythonhosted.org/packages/43/24/90a01c0ef12ac91a6be05969f29944643bc1e5e461155ae6559befa8f00b/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:3c6702abc36bf3ccba3f802b799505def420a1b7039862014a65db3205967f5a", size = 31269, upload-time = "2025-07-30T10:01:42.716Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/d3/942aa10782b2697eee7af5e12eeff5ebb325ccfb86dd8abda54174e377e4/argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a1c70058c6ab1e352304ac7e3b52554daadacd8d453c1752e547c76e9c99ac44", size = 86558, upload-time = "2025-07-30T10:01:43.943Z" },
+    { url = "https://files.pythonhosted.org/packages/0d/82/b484f702fec5536e71836fc2dbc8c5267b3f6e78d2d539b4eaa6f0db8bf8/argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e2fd3bfbff3c5d74fef31a722f729bf93500910db650c925c2d6ef879a7e51cb", size = 92364, upload-time = "2025-07-30T10:01:44.887Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/c1/a606ff83b3f1735f3759ad0f2cd9e038a0ad11a3de3b6c673aa41c24bb7b/argon2_cffi_bindings-25.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:c4f9665de60b1b0e99bcd6be4f17d90339698ce954cfd8d9cf4f91c995165a92", size = 85637, upload-time = "2025-07-30T10:01:46.225Z" },
+    { url = "https://files.pythonhosted.org/packages/44/b4/678503f12aceb0262f84fa201f6027ed77d71c5019ae03b399b97caa2f19/argon2_cffi_bindings-25.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:ba92837e4a9aa6a508c8d2d7883ed5a8f6c308c89a4790e1e447a220deb79a85", size = 91934, upload-time = "2025-07-30T10:01:47.203Z" },
+    { url = "https://files.pythonhosted.org/packages/f0/c7/f36bd08ef9bd9f0a9cff9428406651f5937ce27b6c5b07b92d41f91ae541/argon2_cffi_bindings-25.1.0-cp314-cp314t-win32.whl", hash = "sha256:84a461d4d84ae1295871329b346a97f68eade8c53b6ed9a7ca2d7467f3c8ff6f", size = 28158, upload-time = "2025-07-30T10:01:48.341Z" },
+    { url = "https://files.pythonhosted.org/packages/b3/80/0106a7448abb24a2c467bf7d527fe5413b7fdfa4ad6d6a96a43a62ef3988/argon2_cffi_bindings-25.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b55aec3565b65f56455eebc9b9f34130440404f27fe21c3b375bf1ea4d8fbae6", size = 32597, upload-time = "2025-07-30T10:01:49.112Z" },
+    { url = "https://files.pythonhosted.org/packages/05/b8/d663c9caea07e9180b2cb662772865230715cbd573ba3b5e81793d580316/argon2_cffi_bindings-25.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:87c33a52407e4c41f3b70a9c2d3f6056d88b10dad7695be708c5021673f55623", size = 28231, upload-time = "2025-07-30T10:01:49.92Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/57/96b8b9f93166147826da5f90376e784a10582dd39a393c99bb62cfcf52f0/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:aecba1723ae35330a008418a91ea6cfcedf6d31e5fbaa056a166462ff066d500", size = 54121, upload-time = "2025-07-30T10:01:50.815Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/08/a9bebdb2e0e602dde230bdde8021b29f71f7841bd54801bcfd514acb5dcf/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:2630b6240b495dfab90aebe159ff784d08ea999aa4b0d17efa734055a07d2f44", size = 29177, upload-time = "2025-07-30T10:01:51.681Z" },
+    { url = "https://files.pythonhosted.org/packages/b6/02/d297943bcacf05e4f2a94ab6f462831dc20158614e5d067c35d4e63b9acb/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:7aef0c91e2c0fbca6fc68e7555aa60ef7008a739cbe045541e438373bc54d2b0", size = 31090, upload-time = "2025-07-30T10:01:53.184Z" },
+    { url = "https://files.pythonhosted.org/packages/c1/93/44365f3d75053e53893ec6d733e4a5e3147502663554b4d864587c7828a7/argon2_cffi_bindings-25.1.0-cp39-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1e021e87faa76ae0d413b619fe2b65ab9a037f24c60a1e6cc43457ae20de6dc6", size = 81246, upload-time = "2025-07-30T10:01:54.145Z" },
+    { url = "https://files.pythonhosted.org/packages/09/52/94108adfdd6e2ddf58be64f959a0b9c7d4ef2fa71086c38356d22dc501ea/argon2_cffi_bindings-25.1.0-cp39-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d3e924cfc503018a714f94a49a149fdc0b644eaead5d1f089330399134fa028a", size = 87126, upload-time = "2025-07-30T10:01:55.074Z" },
+    { url = "https://files.pythonhosted.org/packages/72/70/7a2993a12b0ffa2a9271259b79cc616e2389ed1a4d93842fac5a1f923ffd/argon2_cffi_bindings-25.1.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:c87b72589133f0346a1cb8d5ecca4b933e3c9b64656c9d175270a000e73b288d", size = 80343, upload-time = "2025-07-30T10:01:56.007Z" },
+    { url = "https://files.pythonhosted.org/packages/78/9a/4e5157d893ffc712b74dbd868c7f62365618266982b64accab26bab01edc/argon2_cffi_bindings-25.1.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:1db89609c06afa1a214a69a462ea741cf735b29a57530478c06eb81dd403de99", size = 86777, upload-time = "2025-07-30T10:01:56.943Z" },
+    { url = "https://files.pythonhosted.org/packages/74/cd/15777dfde1c29d96de7f18edf4cc94c385646852e7c7b0320aa91ccca583/argon2_cffi_bindings-25.1.0-cp39-abi3-win32.whl", hash = "sha256:473bcb5f82924b1becbb637b63303ec8d10e84c8d241119419897a26116515d2", size = 27180, upload-time = "2025-07-30T10:01:57.759Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/c6/a759ece8f1829d1f162261226fbfd2c6832b3ff7657384045286d2afa384/argon2_cffi_bindings-25.1.0-cp39-abi3-win_amd64.whl", hash = "sha256:a98cd7d17e9f7ce244c0803cad3c23a7d379c301ba618a5fa76a67d116618b98", size = 31715, upload-time = "2025-07-30T10:01:58.56Z" },
+    { url = "https://files.pythonhosted.org/packages/42/b9/f8d6fa329ab25128b7e98fd83a3cb34d9db5b059a9847eddb840a0af45dd/argon2_cffi_bindings-25.1.0-cp39-abi3-win_arm64.whl", hash = "sha256:b0fdbcf513833809c882823f98dc2f931cf659d9a1429616ac3adebb49f5db94", size = 27149, upload-time = "2025-07-30T10:01:59.329Z" },
+]
+
+[[package]]
+name = "arrow"
+version = "1.4.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "python-dateutil" },
+    { name = "tzdata" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b9/33/032cdc44182491aa708d06a68b62434140d8c50820a087fac7af37703357/arrow-1.4.0.tar.gz", hash = "sha256:ed0cc050e98001b8779e84d461b0098c4ac597e88704a655582b21d116e526d7", size = 152931, upload-time = "2025-10-18T17:46:46.761Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ed/c9/d7977eaacb9df673210491da99e6a247e93df98c715fc43fd136ce1d3d33/arrow-1.4.0-py3-none-any.whl", hash = "sha256:749f0769958ebdc79c173ff0b0670d59051a535fa26e8eba02953dc19eb43205", size = 68797, upload-time = "2025-10-18T17:46:45.663Z" },
+]
+
+[[package]]
+name = "asgiref"
+version = "3.11.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/63/40/f03da1264ae8f7cfdbf9146542e5e7e8100a4c66ab48e791df9a03d3f6c0/asgiref-3.11.1.tar.gz", hash = "sha256:5f184dc43b7e763efe848065441eac62229c9f7b0475f41f80e207a114eda4ce", size = 38550, upload-time = "2026-02-03T13:30:14.33Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/5c/0a/a72d10ed65068e115044937873362e6e32fab1b7dce0046aeb224682c989/asgiref-3.11.1-py3-none-any.whl", hash = "sha256:e8667a091e69529631969fd45dc268fa79b99c92c5fcdda727757e52146ec133", size = 24345, upload-time = "2026-02-03T13:30:13.039Z" },
+]
+
+[[package]]
+name = "astroid"
+version = "4.0.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/07/63/0adf26577da5eff6eb7a177876c1cfa213856be9926a000f65c4add9692b/astroid-4.0.4.tar.gz", hash = "sha256:986fed8bcf79fb82c78b18a53352a0b287a73817d6dbcfba3162da36667c49a0", size = 406358, upload-time = "2026-02-07T23:35:07.509Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b0/cf/1c5f42b110e57bc5502eb80dbc3b03d256926062519224835ef08134f1f9/astroid-4.0.4-py3-none-any.whl", hash = "sha256:52f39653876c7dec3e3afd4c2696920e05c83832b9737afc21928f2d2eb7a753", size = 276445, upload-time = "2026-02-07T23:35:05.344Z" },
+]
+
+[[package]]
+name = "asttokens"
+version = "3.0.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/be/a5/8e3f9b6771b0b408517c82d97aed8f2036509bc247d46114925e32fe33f0/asttokens-3.0.1.tar.gz", hash = "sha256:71a4ee5de0bde6a31d64f6b13f2293ac190344478f081c3d1bccfcf5eacb0cb7", size = 62308, upload-time = "2025-11-15T16:43:48.578Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d2/39/e7eaf1799466a4aef85b6a4fe7bd175ad2b1c6345066aa33f1f58d4b18d0/asttokens-3.0.1-py3-none-any.whl", hash = "sha256:15a3ebc0f43c2d0a50eeafea25e19046c68398e487b9f1f5b517f7c0f40f976a", size = 27047, upload-time = "2025-11-15T16:43:16.109Z" },
+]
+
+[[package]]
+name = "async-lru"
+version = "2.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e8/1f/989ecfef8e64109a489fff357450cb73fa73a865a92bd8c272170a6922c2/async_lru-2.3.0.tar.gz", hash = "sha256:89bdb258a0140d7313cf8f4031d816a042202faa61d0ab310a0a538baa1c24b6", size = 16332, upload-time = "2026-03-19T01:04:32.413Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e5/e2/c2e3abf398f80732e58b03be77bde9022550d221dd8781bf586bd4d97cc1/async_lru-2.3.0-py3-none-any.whl", hash = "sha256:eea27b01841909316f2cc739807acea1c623df2be8c5cfad7583286397bb8315", size = 8403, upload-time = "2026-03-19T01:04:30.883Z" },
+]
+
+[[package]]
+name = "attrs"
+version = "26.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/9a/8e/82a0fe20a541c03148528be8cac2408564a6c9a0cc7e9171802bc1d26985/attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32", size = 952055, upload-time = "2026-03-19T14:22:25.026Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/64/b4/17d4b0b2a2dc85a6df63d1157e028ed19f90d4cd97c36717afef2bc2f395/attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309", size = 67548, upload-time = "2026-03-19T14:22:23.645Z" },
+]
+
+[[package]]
+name = "autoreject"
+version = "0.4.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "joblib" },
+    { name = "matplotlib" },
+    { name = "mne", extra = ["hdf5"] },
+    { name = "numpy" },
+    { name = "scikit-learn" },
+    { name = "scipy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/e0/84/0471a888cb198b109dbc8c73fee04bb505600d4ee7f7bca50a4b76f4b94e/autoreject-0.4.3.tar.gz", hash = "sha256:bd977ea3c88dc68550fbd5dbb98515b3b811907ba78afe8e412632edde6c8fc5", size = 47139, upload-time = "2023-11-14T16:48:15.879Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/45/cf/f34035d2de261064090cb46491b1b999f0b9711bc57da189ffe1b50df146/autoreject-0.4.3-py3-none-any.whl", hash = "sha256:a094bebeaea40572f479b2b489c14c54a0be4d57ae7f51ea269c754d2433f9c1", size = 29855, upload-time = "2023-11-14T16:48:12.348Z" },
+]
+
+[[package]]
+name = "babel"
+version = "2.18.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/7d/b2/51899539b6ceeeb420d40ed3cd4b7a40519404f9baf3d4ac99dc413a834b/babel-2.18.0.tar.gz", hash = "sha256:b80b99a14bd085fcacfa15c9165f651fbb3406e66cc603abf11c5750937c992d", size = 9959554, upload-time = "2026-02-01T12:30:56.078Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/77/f5/21d2de20e8b8b0408f0681956ca2c69f1320a3848ac50e6e7f39c6159675/babel-2.18.0-py3-none-any.whl", hash = "sha256:e2b422b277c2b9a9630c1d7903c2a00d0830c409c59ac8cae9081c92f1aeba35", size = 10196845, upload-time = "2026-02-01T12:30:53.445Z" },
+]
+
+[[package]]
+name = "backrefs"
+version = "6.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/4e/a6/e325ec73b638d3ede4421b5445d4a0b8b219481826cc079d510100af356c/backrefs-6.2.tar.gz", hash = "sha256:f44ff4d48808b243b6c0cdc6231e22195c32f77046018141556c66f8bab72a49", size = 7012303, upload-time = "2026-02-16T19:10:15.828Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1b/39/3765df263e08a4df37f4f43cb5aa3c6c17a4bdd42ecfe841e04c26037171/backrefs-6.2-py310-none-any.whl", hash = "sha256:0fdc7b012420b6b144410342caeb8adc54c6866cf12064abc9bb211302e496f8", size = 381075, upload-time = "2026-02-16T19:10:04.322Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/f0/35240571e1b67ffb19dafb29ab34150b6f59f93f717b041082cdb1bfceb1/backrefs-6.2-py311-none-any.whl", hash = "sha256:08aa7fae530c6b2361d7bdcbda1a7c454e330cc9dbcd03f5c23205e430e5c3be", size = 392874, upload-time = "2026-02-16T19:10:06.314Z" },
+    { url = "https://files.pythonhosted.org/packages/e3/63/77e8c9745b4d227cce9f5e0a6f68041278c5f9b18588b35905f5f19c1beb/backrefs-6.2-py312-none-any.whl", hash = "sha256:c3f4b9cb2af8cda0d87ab4f57800b57b95428488477be164dd2b47be54db0c90", size = 398787, upload-time = "2026-02-16T19:10:08.274Z" },
+    { url = "https://files.pythonhosted.org/packages/c5/71/c754b1737ad99102e03fa3235acb6cb6d3ac9d6f596cbc3e5f236705abd8/backrefs-6.2-py313-none-any.whl", hash = "sha256:12df81596ab511f783b7d87c043ce26bc5b0288cf3bb03610fe76b8189282b2b", size = 400747, upload-time = "2026-02-16T19:10:09.791Z" },
+    { url = "https://files.pythonhosted.org/packages/af/75/be12ba31a6eb20dccef2320cd8ccb3f7d9013b68ba4c70156259fee9e409/backrefs-6.2-py314-none-any.whl", hash = "sha256:e5f805ae09819caa1aa0623b4a83790e7028604aa2b8c73ba602c4454e665de7", size = 412602, upload-time = "2026-02-16T19:10:12.317Z" },
+    { url = "https://files.pythonhosted.org/packages/21/f8/d02f650c47d05034dcd6f9c8cf94f39598b7a89c00ecda0ecb2911bc27e9/backrefs-6.2-py39-none-any.whl", hash = "sha256:664e33cd88c6840b7625b826ecf2555f32d491800900f5a541f772c485f7cda7", size = 381077, upload-time = "2026-02-16T19:10:13.74Z" },
+]
+
+[[package]]
+name = "beautifulsoup4"
+version = "4.14.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "soupsieve" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/c3/b0/1c6a16426d389813b48d95e26898aff79abbde42ad353958ad95cc8c9b21/beautifulsoup4-4.14.3.tar.gz", hash = "sha256:6292b1c5186d356bba669ef9f7f051757099565ad9ada5dd630bd9de5fa7fb86", size = 627737, upload-time = "2025-11-30T15:08:26.084Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1a/39/47f9197bdd44df24d67ac8893641e16f386c984a0619ef2ee4c51fbbc019/beautifulsoup4-4.14.3-py3-none-any.whl", hash = "sha256:0918bfe44902e6ad8d57732ba310582e98da931428d231a5ecb9e7c703a735bb", size = 107721, upload-time = "2025-11-30T15:08:24.087Z" },
+]
+
+[[package]]
+name = "black"
+version = "26.3.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "click" },
+    { name = "mypy-extensions" },
+    { name = "packaging" },
+    { name = "pathspec" },
+    { name = "platformdirs" },
+    { name = "pytokens" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/e1/c5/61175d618685d42b005847464b8fb4743a67b1b8fdb75e50e5a96c31a27a/black-26.3.1.tar.gz", hash = "sha256:2c50f5063a9641c7eed7795014ba37b0f5fa227f3d408b968936e24bc0566b07", size = 666155, upload-time = "2026-03-12T03:36:03.593Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/17/57/5f11c92861f9c92eb9dddf515530bc2d06db843e44bdcf1c83c1427824bc/black-26.3.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:28ef38aee69e4b12fda8dba75e21f9b4f979b490c8ac0baa7cb505369ac9e1ff", size = 1851987, upload-time = "2026-03-12T03:40:06.248Z" },
+    { url = "https://files.pythonhosted.org/packages/54/aa/340a1463660bf6831f9e39646bf774086dbd8ca7fc3cded9d59bbdf4ad0a/black-26.3.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:bf9bf162ed91a26f1adba8efda0b573bc6924ec1408a52cc6f82cb73ec2b142c", size = 1689499, upload-time = "2026-03-12T03:40:07.642Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/01/b726c93d717d72733da031d2de10b92c9fa4c8d0c67e8a8a372076579279/black-26.3.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:474c27574d6d7037c1bc875a81d9be0a9a4f9ee95e62800dab3cfaadbf75acd5", size = 1754369, upload-time = "2026-03-12T03:40:09.279Z" },
+    { url = "https://files.pythonhosted.org/packages/e3/09/61e91881ca291f150cfc9eb7ba19473c2e59df28859a11a88248b5cbbc4d/black-26.3.1-cp311-cp311-win_amd64.whl", hash = "sha256:5e9d0d86df21f2e1677cc4bd090cd0e446278bcbbe49bf3659c308c3e402843e", size = 1413613, upload-time = "2026-03-12T03:40:10.943Z" },
+    { url = "https://files.pythonhosted.org/packages/16/73/544f23891b22e7efe4d8f812371ab85b57f6a01b2fc45e3ba2e52ba985b8/black-26.3.1-cp311-cp311-win_arm64.whl", hash = "sha256:9a5e9f45e5d5e1c5b5c29b3bd4265dcc90e8b92cf4534520896ed77f791f4da5", size = 1219719, upload-time = "2026-03-12T03:40:12.597Z" },
+    { url = "https://files.pythonhosted.org/packages/dc/f8/da5eae4fc75e78e6dceb60624e1b9662ab00d6b452996046dfa9b8a6025b/black-26.3.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b5e6f89631eb88a7302d416594a32faeee9fb8fb848290da9d0a5f2903519fc1", size = 1895920, upload-time = "2026-03-12T03:40:13.921Z" },
+    { url = "https://files.pythonhosted.org/packages/2c/9f/04e6f26534da2e1629b2b48255c264cabf5eedc5141d04516d9d68a24111/black-26.3.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:41cd2012d35b47d589cb8a16faf8a32ef7a336f56356babd9fcf70939ad1897f", size = 1718499, upload-time = "2026-03-12T03:40:15.239Z" },
+    { url = "https://files.pythonhosted.org/packages/04/91/a5935b2a63e31b331060c4a9fdb5a6c725840858c599032a6f3aac94055f/black-26.3.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0f76ff19ec5297dd8e66eb64deda23631e642c9393ab592826fd4bdc97a4bce7", size = 1794994, upload-time = "2026-03-12T03:40:17.124Z" },
+    { url = "https://files.pythonhosted.org/packages/e7/0a/86e462cdd311a3c2a8ece708d22aba17d0b2a0d5348ca34b40cdcbea512e/black-26.3.1-cp312-cp312-win_amd64.whl", hash = "sha256:ddb113db38838eb9f043623ba274cfaf7d51d5b0c22ecb30afe58b1bb8322983", size = 1420867, upload-time = "2026-03-12T03:40:18.83Z" },
+    { url = "https://files.pythonhosted.org/packages/5b/e5/22515a19cb7eaee3440325a6b0d95d2c0e88dd180cb011b12ae488e031d1/black-26.3.1-cp312-cp312-win_arm64.whl", hash = "sha256:dfdd51fc3e64ea4f35873d1b3fb25326773d55d2329ff8449139ebaad7357efb", size = 1230124, upload-time = "2026-03-12T03:40:20.425Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/77/5728052a3c0450c53d9bb3945c4c46b91baa62b2cafab6801411b6271e45/black-26.3.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:855822d90f884905362f602880ed8b5df1b7e3ee7d0db2502d4388a954cc8c54", size = 1895034, upload-time = "2026-03-12T03:40:21.813Z" },
+    { url = "https://files.pythonhosted.org/packages/52/73/7cae55fdfdfbe9d19e9a8d25d145018965fe2079fa908101c3733b0c55a0/black-26.3.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:8a33d657f3276328ce00e4d37fe70361e1ec7614da5d7b6e78de5426cb56332f", size = 1718503, upload-time = "2026-03-12T03:40:23.666Z" },
+    { url = "https://files.pythonhosted.org/packages/e1/87/af89ad449e8254fdbc74654e6467e3c9381b61472cc532ee350d28cfdafb/black-26.3.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f1cd08e99d2f9317292a311dfe578fd2a24b15dbce97792f9c4d752275c1fa56", size = 1793557, upload-time = "2026-03-12T03:40:25.497Z" },
+    { url = "https://files.pythonhosted.org/packages/43/10/d6c06a791d8124b843bf325ab4ac7d2f5b98731dff84d6064eafd687ded1/black-26.3.1-cp313-cp313-win_amd64.whl", hash = "sha256:c7e72339f841b5a237ff14f7d3880ddd0fc7f98a1199e8c4327f9a4f478c1839", size = 1422766, upload-time = "2026-03-12T03:40:27.14Z" },
+    { url = "https://files.pythonhosted.org/packages/59/4f/40a582c015f2d841ac24fed6390bd68f0fc896069ff3a886317959c9daf8/black-26.3.1-cp313-cp313-win_arm64.whl", hash = "sha256:afc622538b430aa4c8c853f7f63bc582b3b8030fd8c80b70fb5fa5b834e575c2", size = 1232140, upload-time = "2026-03-12T03:40:28.882Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/da/e36e27c9cebc1311b7579210df6f1c86e50f2d7143ae4fcf8a5017dc8809/black-26.3.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:2d6bfaf7fd0993b420bed691f20f9492d53ce9a2bcccea4b797d34e947318a78", size = 1889234, upload-time = "2026-03-12T03:40:30.964Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/7b/9871acf393f64a5fa33668c19350ca87177b181f44bb3d0c33b2d534f22c/black-26.3.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:f89f2ab047c76a9c03f78d0d66ca519e389519902fa27e7a91117ef7611c0568", size = 1720522, upload-time = "2026-03-12T03:40:32.346Z" },
+    { url = "https://files.pythonhosted.org/packages/03/87/e766c7f2e90c07fb7586cc787c9ae6462b1eedab390191f2b7fc7f6170a9/black-26.3.1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b07fc0dab849d24a80a29cfab8d8a19187d1c4685d8a5e6385a5ce323c1f015f", size = 1787824, upload-time = "2026-03-12T03:40:33.636Z" },
+    { url = "https://files.pythonhosted.org/packages/ac/94/2424338fb2d1875e9e83eed4c8e9c67f6905ec25afd826a911aea2b02535/black-26.3.1-cp314-cp314-win_amd64.whl", hash = "sha256:0126ae5b7c09957da2bdbd91a9ba1207453feada9e9fe51992848658c6c8e01c", size = 1445855, upload-time = "2026-03-12T03:40:35.442Z" },
+    { url = "https://files.pythonhosted.org/packages/86/43/0c3338bd928afb8ee7471f1a4eec3bdbe2245ccb4a646092a222e8669840/black-26.3.1-cp314-cp314-win_arm64.whl", hash = "sha256:92c0ec1f2cc149551a2b7b47efc32c866406b6891b0ee4625e95967c8f4acfb1", size = 1258109, upload-time = "2026-03-12T03:40:36.832Z" },
+    { url = "https://files.pythonhosted.org/packages/8e/0d/52d98722666d6fc6c3dd4c76df339501d6efd40e0ff95e6186a7b7f0befd/black-26.3.1-py3-none-any.whl", hash = "sha256:2bd5aa94fc267d38bb21a70d7410a89f1a1d318841855f698746f8e7f51acd1b", size = 207542, upload-time = "2026-03-12T03:36:01.668Z" },
+]
+
+[[package]]
+name = "bleach"
+version = "6.3.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "webencodings" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/07/18/3c8523962314be6bf4c8989c79ad9531c825210dd13a8669f6b84336e8bd/bleach-6.3.0.tar.gz", hash = "sha256:6f3b91b1c0a02bb9a78b5a454c92506aa0fdf197e1d5e114d2e00c6f64306d22", size = 203533, upload-time = "2025-10-27T17:57:39.211Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/cd/3a/577b549de0cc09d95f11087ee63c739bba856cd3952697eec4c4bb91350a/bleach-6.3.0-py3-none-any.whl", hash = "sha256:fe10ec77c93ddf3d13a73b035abaac7a9f5e436513864ccdad516693213c65d6", size = 164437, upload-time = "2025-10-27T17:57:37.538Z" },
+]
+
+[package.optional-dependencies]
+css = [
+    { name = "tinycss2" },
+]
+
+[[package]]
+name = "bracex"
+version = "2.6"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/63/9a/fec38644694abfaaeca2798b58e276a8e61de49e2e37494ace423395febc/bracex-2.6.tar.gz", hash = "sha256:98f1347cd77e22ee8d967a30ad4e310b233f7754dbf31ff3fceb76145ba47dc7", size = 26642, upload-time = "2025-06-22T19:12:31.254Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/9d/2a/9186535ce58db529927f6cf5990a849aa9e052eea3e2cfefe20b9e1802da/bracex-2.6-py3-none-any.whl", hash = "sha256:0b0049264e7340b3ec782b5cb99beb325f36c3782a32e36e876452fd49a09952", size = 11508, upload-time = "2025-06-22T19:12:29.781Z" },
+]
+
+[[package]]
+name = "certifi"
+version = "2026.2.25"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/af/2d/7bf41579a8986e348fa033a31cdd0e4121114f6bce2457e8876010b092dd/certifi-2026.2.25.tar.gz", hash = "sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7", size = 155029, upload-time = "2026-02-25T02:54:17.342Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/9a/3c/c17fb3ca2d9c3acff52e30b309f538586f9f5b9c9cf454f3845fc9af4881/certifi-2026.2.25-py3-none-any.whl", hash = "sha256:027692e4402ad994f1c42e52a4997a9763c646b73e4096e4d5d6db8af1d6f0fa", size = 153684, upload-time = "2026-02-25T02:54:15.766Z" },
+]
+
+[[package]]
+name = "cffi"
+version = "2.0.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pycparser", marker = "implementation_name != 'PyPy'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/eb/56/b1ba7935a17738ae8453301356628e8147c79dbb825bcbc73dc7401f9846/cffi-2.0.0.tar.gz", hash = "sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529", size = 523588, upload-time = "2025-09-08T23:24:04.541Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/12/4a/3dfd5f7850cbf0d06dc84ba9aa00db766b52ca38d8b86e3a38314d52498c/cffi-2.0.0-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:b4c854ef3adc177950a8dfc81a86f5115d2abd545751a304c5bcf2c2c7283cfe", size = 184344, upload-time = "2025-09-08T23:22:26.456Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/8b/f0e4c441227ba756aafbe78f117485b25bb26b1c059d01f137fa6d14896b/cffi-2.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2de9a304e27f7596cd03d16f1b7c72219bd944e99cc52b84d0145aefb07cbd3c", size = 180560, upload-time = "2025-09-08T23:22:28.197Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/b7/1200d354378ef52ec227395d95c2576330fd22a869f7a70e88e1447eb234/cffi-2.0.0-cp311-cp311-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:baf5215e0ab74c16e2dd324e8ec067ef59e41125d3eade2b863d294fd5035c92", size = 209613, upload-time = "2025-09-08T23:22:29.475Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/56/6033f5e86e8cc9bb629f0077ba71679508bdf54a9a5e112a3c0b91870332/cffi-2.0.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:730cacb21e1bdff3ce90babf007d0a0917cc3e6492f336c2f0134101e0944f93", size = 216476, upload-time = "2025-09-08T23:22:31.063Z" },
+    { url = "https://files.pythonhosted.org/packages/dc/7f/55fecd70f7ece178db2f26128ec41430d8720f2d12ca97bf8f0a628207d5/cffi-2.0.0-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:6824f87845e3396029f3820c206e459ccc91760e8fa24422f8b0c3d1731cbec5", size = 203374, upload-time = "2025-09-08T23:22:32.507Z" },
+    { url = "https://files.pythonhosted.org/packages/84/ef/a7b77c8bdc0f77adc3b46888f1ad54be8f3b7821697a7b89126e829e676a/cffi-2.0.0-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:9de40a7b0323d889cf8d23d1ef214f565ab154443c42737dfe52ff82cf857664", size = 202597, upload-time = "2025-09-08T23:22:34.132Z" },
+    { url = "https://files.pythonhosted.org/packages/d7/91/500d892b2bf36529a75b77958edfcd5ad8e2ce4064ce2ecfeab2125d72d1/cffi-2.0.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8941aaadaf67246224cee8c3803777eed332a19d909b47e29c9842ef1e79ac26", size = 215574, upload-time = "2025-09-08T23:22:35.443Z" },
+    { url = "https://files.pythonhosted.org/packages/44/64/58f6255b62b101093d5df22dcb752596066c7e89dd725e0afaed242a61be/cffi-2.0.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a05d0c237b3349096d3981b727493e22147f934b20f6f125a3eba8f994bec4a9", size = 218971, upload-time = "2025-09-08T23:22:36.805Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/49/fa72cebe2fd8a55fbe14956f9970fe8eb1ac59e5df042f603ef7c8ba0adc/cffi-2.0.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:94698a9c5f91f9d138526b48fe26a199609544591f859c870d477351dc7b2414", size = 211972, upload-time = "2025-09-08T23:22:38.436Z" },
+    { url = "https://files.pythonhosted.org/packages/0b/28/dd0967a76aab36731b6ebfe64dec4e981aff7e0608f60c2d46b46982607d/cffi-2.0.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:5fed36fccc0612a53f1d4d9a816b50a36702c28a2aa880cb8a122b3466638743", size = 217078, upload-time = "2025-09-08T23:22:39.776Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/c0/015b25184413d7ab0a410775fdb4a50fca20f5589b5dab1dbbfa3baad8ce/cffi-2.0.0-cp311-cp311-win32.whl", hash = "sha256:c649e3a33450ec82378822b3dad03cc228b8f5963c0c12fc3b1e0ab940f768a5", size = 172076, upload-time = "2025-09-08T23:22:40.95Z" },
+    { url = "https://files.pythonhosted.org/packages/ae/8f/dc5531155e7070361eb1b7e4c1a9d896d0cb21c49f807a6c03fd63fc877e/cffi-2.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:66f011380d0e49ed280c789fbd08ff0d40968ee7b665575489afa95c98196ab5", size = 182820, upload-time = "2025-09-08T23:22:42.463Z" },
+    { url = "https://files.pythonhosted.org/packages/95/5c/1b493356429f9aecfd56bc171285a4c4ac8697f76e9bbbbb105e537853a1/cffi-2.0.0-cp311-cp311-win_arm64.whl", hash = "sha256:c6638687455baf640e37344fe26d37c404db8b80d037c3d29f58fe8d1c3b194d", size = 177635, upload-time = "2025-09-08T23:22:43.623Z" },
+    { url = "https://files.pythonhosted.org/packages/ea/47/4f61023ea636104d4f16ab488e268b93008c3d0bb76893b1b31db1f96802/cffi-2.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6d02d6655b0e54f54c4ef0b94eb6be0607b70853c45ce98bd278dc7de718be5d", size = 185271, upload-time = "2025-09-08T23:22:44.795Z" },
+    { url = "https://files.pythonhosted.org/packages/df/a2/781b623f57358e360d62cdd7a8c681f074a71d445418a776eef0aadb4ab4/cffi-2.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8eca2a813c1cb7ad4fb74d368c2ffbbb4789d377ee5bb8df98373c2cc0dee76c", size = 181048, upload-time = "2025-09-08T23:22:45.938Z" },
+    { url = "https://files.pythonhosted.org/packages/ff/df/a4f0fbd47331ceeba3d37c2e51e9dfc9722498becbeec2bd8bc856c9538a/cffi-2.0.0-cp312-cp312-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:21d1152871b019407d8ac3985f6775c079416c282e431a4da6afe7aefd2bccbe", size = 212529, upload-time = "2025-09-08T23:22:47.349Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/72/12b5f8d3865bf0f87cf1404d8c374e7487dcf097a1c91c436e72e6badd83/cffi-2.0.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b21e08af67b8a103c71a250401c78d5e0893beff75e28c53c98f4de42f774062", size = 220097, upload-time = "2025-09-08T23:22:48.677Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/95/7a135d52a50dfa7c882ab0ac17e8dc11cec9d55d2c18dda414c051c5e69e/cffi-2.0.0-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:1e3a615586f05fc4065a8b22b8152f0c1b00cdbc60596d187c2a74f9e3036e4e", size = 207983, upload-time = "2025-09-08T23:22:50.06Z" },
+    { url = "https://files.pythonhosted.org/packages/3a/c8/15cb9ada8895957ea171c62dc78ff3e99159ee7adb13c0123c001a2546c1/cffi-2.0.0-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:81afed14892743bbe14dacb9e36d9e0e504cd204e0b165062c488942b9718037", size = 206519, upload-time = "2025-09-08T23:22:51.364Z" },
+    { url = "https://files.pythonhosted.org/packages/78/2d/7fa73dfa841b5ac06c7b8855cfc18622132e365f5b81d02230333ff26e9e/cffi-2.0.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3e17ed538242334bf70832644a32a7aae3d83b57567f9fd60a26257e992b79ba", size = 219572, upload-time = "2025-09-08T23:22:52.902Z" },
+    { url = "https://files.pythonhosted.org/packages/07/e0/267e57e387b4ca276b90f0434ff88b2c2241ad72b16d31836adddfd6031b/cffi-2.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:3925dd22fa2b7699ed2617149842d2e6adde22b262fcbfada50e3d195e4b3a94", size = 222963, upload-time = "2025-09-08T23:22:54.518Z" },
+    { url = "https://files.pythonhosted.org/packages/b6/75/1f2747525e06f53efbd878f4d03bac5b859cbc11c633d0fb81432d98a795/cffi-2.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2c8f814d84194c9ea681642fd164267891702542f028a15fc97d4674b6206187", size = 221361, upload-time = "2025-09-08T23:22:55.867Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/2b/2b6435f76bfeb6bbf055596976da087377ede68df465419d192acf00c437/cffi-2.0.0-cp312-cp312-win32.whl", hash = "sha256:da902562c3e9c550df360bfa53c035b2f241fed6d9aef119048073680ace4a18", size = 172932, upload-time = "2025-09-08T23:22:57.188Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/ed/13bd4418627013bec4ed6e54283b1959cf6db888048c7cf4b4c3b5b36002/cffi-2.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:da68248800ad6320861f129cd9c1bf96ca849a2771a59e0344e88681905916f5", size = 183557, upload-time = "2025-09-08T23:22:58.351Z" },
+    { url = "https://files.pythonhosted.org/packages/95/31/9f7f93ad2f8eff1dbc1c3656d7ca5bfd8fb52c9d786b4dcf19b2d02217fa/cffi-2.0.0-cp312-cp312-win_arm64.whl", hash = "sha256:4671d9dd5ec934cb9a73e7ee9676f9362aba54f7f34910956b84d727b0d73fb6", size = 177762, upload-time = "2025-09-08T23:22:59.668Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/8d/a0a47a0c9e413a658623d014e91e74a50cdd2c423f7ccfd44086ef767f90/cffi-2.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:00bdf7acc5f795150faa6957054fbbca2439db2f775ce831222b66f192f03beb", size = 185230, upload-time = "2025-09-08T23:23:00.879Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/d2/a6c0296814556c68ee32009d9c2ad4f85f2707cdecfd7727951ec228005d/cffi-2.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:45d5e886156860dc35862657e1494b9bae8dfa63bf56796f2fb56e1679fc0bca", size = 181043, upload-time = "2025-09-08T23:23:02.231Z" },
+    { url = "https://files.pythonhosted.org/packages/b0/1e/d22cc63332bd59b06481ceaac49d6c507598642e2230f201649058a7e704/cffi-2.0.0-cp313-cp313-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:07b271772c100085dd28b74fa0cd81c8fb1a3ba18b21e03d7c27f3436a10606b", size = 212446, upload-time = "2025-09-08T23:23:03.472Z" },
+    { url = "https://files.pythonhosted.org/packages/a9/f5/a2c23eb03b61a0b8747f211eb716446c826ad66818ddc7810cc2cc19b3f2/cffi-2.0.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d48a880098c96020b02d5a1f7d9251308510ce8858940e6fa99ece33f610838b", size = 220101, upload-time = "2025-09-08T23:23:04.792Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/7f/e6647792fc5850d634695bc0e6ab4111ae88e89981d35ac269956605feba/cffi-2.0.0-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:f93fd8e5c8c0a4aa1f424d6173f14a892044054871c771f8566e4008eaa359d2", size = 207948, upload-time = "2025-09-08T23:23:06.127Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/1e/a5a1bd6f1fb30f22573f76533de12a00bf274abcdc55c8edab639078abb6/cffi-2.0.0-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:dd4f05f54a52fb558f1ba9f528228066954fee3ebe629fc1660d874d040ae5a3", size = 206422, upload-time = "2025-09-08T23:23:07.753Z" },
+    { url = "https://files.pythonhosted.org/packages/98/df/0a1755e750013a2081e863e7cd37e0cdd02664372c754e5560099eb7aa44/cffi-2.0.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c8d3b5532fc71b7a77c09192b4a5a200ea992702734a2e9279a37f2478236f26", size = 219499, upload-time = "2025-09-08T23:23:09.648Z" },
+    { url = "https://files.pythonhosted.org/packages/50/e1/a969e687fcf9ea58e6e2a928ad5e2dd88cc12f6f0ab477e9971f2309b57c/cffi-2.0.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:d9b29c1f0ae438d5ee9acb31cadee00a58c46cc9c0b2f9038c6b0b3470877a8c", size = 222928, upload-time = "2025-09-08T23:23:10.928Z" },
+    { url = "https://files.pythonhosted.org/packages/36/54/0362578dd2c9e557a28ac77698ed67323ed5b9775ca9d3fe73fe191bb5d8/cffi-2.0.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6d50360be4546678fc1b79ffe7a66265e28667840010348dd69a314145807a1b", size = 221302, upload-time = "2025-09-08T23:23:12.42Z" },
+    { url = "https://files.pythonhosted.org/packages/eb/6d/bf9bda840d5f1dfdbf0feca87fbdb64a918a69bca42cfa0ba7b137c48cb8/cffi-2.0.0-cp313-cp313-win32.whl", hash = "sha256:74a03b9698e198d47562765773b4a8309919089150a0bb17d829ad7b44b60d27", size = 172909, upload-time = "2025-09-08T23:23:14.32Z" },
+    { url = "https://files.pythonhosted.org/packages/37/18/6519e1ee6f5a1e579e04b9ddb6f1676c17368a7aba48299c3759bbc3c8b3/cffi-2.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:19f705ada2530c1167abacb171925dd886168931e0a7b78f5bffcae5c6b5be75", size = 183402, upload-time = "2025-09-08T23:23:15.535Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/0e/02ceeec9a7d6ee63bb596121c2c8e9b3a9e150936f4fbef6ca1943e6137c/cffi-2.0.0-cp313-cp313-win_arm64.whl", hash = "sha256:256f80b80ca3853f90c21b23ee78cd008713787b1b1e93eae9f3d6a7134abd91", size = 177780, upload-time = "2025-09-08T23:23:16.761Z" },
+    { url = "https://files.pythonhosted.org/packages/92/c4/3ce07396253a83250ee98564f8d7e9789fab8e58858f35d07a9a2c78de9f/cffi-2.0.0-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fc33c5141b55ed366cfaad382df24fe7dcbc686de5be719b207bb248e3053dc5", size = 185320, upload-time = "2025-09-08T23:23:18.087Z" },
+    { url = "https://files.pythonhosted.org/packages/59/dd/27e9fa567a23931c838c6b02d0764611c62290062a6d4e8ff7863daf9730/cffi-2.0.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c654de545946e0db659b3400168c9ad31b5d29593291482c43e3564effbcee13", size = 181487, upload-time = "2025-09-08T23:23:19.622Z" },
+    { url = "https://files.pythonhosted.org/packages/d6/43/0e822876f87ea8a4ef95442c3d766a06a51fc5298823f884ef87aaad168c/cffi-2.0.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:24b6f81f1983e6df8db3adc38562c83f7d4a0c36162885ec7f7b77c7dcbec97b", size = 220049, upload-time = "2025-09-08T23:23:20.853Z" },
+    { url = "https://files.pythonhosted.org/packages/b4/89/76799151d9c2d2d1ead63c2429da9ea9d7aac304603de0c6e8764e6e8e70/cffi-2.0.0-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:12873ca6cb9b0f0d3a0da705d6086fe911591737a59f28b7936bdfed27c0d47c", size = 207793, upload-time = "2025-09-08T23:23:22.08Z" },
+    { url = "https://files.pythonhosted.org/packages/bb/dd/3465b14bb9e24ee24cb88c9e3730f6de63111fffe513492bf8c808a3547e/cffi-2.0.0-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:d9b97165e8aed9272a6bb17c01e3cc5871a594a446ebedc996e2397a1c1ea8ef", size = 206300, upload-time = "2025-09-08T23:23:23.314Z" },
+    { url = "https://files.pythonhosted.org/packages/47/d9/d83e293854571c877a92da46fdec39158f8d7e68da75bf73581225d28e90/cffi-2.0.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:afb8db5439b81cf9c9d0c80404b60c3cc9c3add93e114dcae767f1477cb53775", size = 219244, upload-time = "2025-09-08T23:23:24.541Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/0f/1f177e3683aead2bb00f7679a16451d302c436b5cbf2505f0ea8146ef59e/cffi-2.0.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:737fe7d37e1a1bffe70bd5754ea763a62a066dc5913ca57e957824b72a85e205", size = 222828, upload-time = "2025-09-08T23:23:26.143Z" },
+    { url = "https://files.pythonhosted.org/packages/c6/0f/cafacebd4b040e3119dcb32fed8bdef8dfe94da653155f9d0b9dc660166e/cffi-2.0.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:38100abb9d1b1435bc4cc340bb4489635dc2f0da7456590877030c9b3d40b0c1", size = 220926, upload-time = "2025-09-08T23:23:27.873Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/aa/df335faa45b395396fcbc03de2dfcab242cd61a9900e914fe682a59170b1/cffi-2.0.0-cp314-cp314-win32.whl", hash = "sha256:087067fa8953339c723661eda6b54bc98c5625757ea62e95eb4898ad5e776e9f", size = 175328, upload-time = "2025-09-08T23:23:44.61Z" },
+    { url = "https://files.pythonhosted.org/packages/bb/92/882c2d30831744296ce713f0feb4c1cd30f346ef747b530b5318715cc367/cffi-2.0.0-cp314-cp314-win_amd64.whl", hash = "sha256:203a48d1fb583fc7d78a4c6655692963b860a417c0528492a6bc21f1aaefab25", size = 185650, upload-time = "2025-09-08T23:23:45.848Z" },
+    { url = "https://files.pythonhosted.org/packages/9f/2c/98ece204b9d35a7366b5b2c6539c350313ca13932143e79dc133ba757104/cffi-2.0.0-cp314-cp314-win_arm64.whl", hash = "sha256:dbd5c7a25a7cb98f5ca55d258b103a2054f859a46ae11aaf23134f9cc0d356ad", size = 180687, upload-time = "2025-09-08T23:23:47.105Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/61/c768e4d548bfa607abcda77423448df8c471f25dbe64fb2ef6d555eae006/cffi-2.0.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:9a67fc9e8eb39039280526379fb3a70023d77caec1852002b4da7e8b270c4dd9", size = 188773, upload-time = "2025-09-08T23:23:29.347Z" },
+    { url = "https://files.pythonhosted.org/packages/2c/ea/5f76bce7cf6fcd0ab1a1058b5af899bfbef198bea4d5686da88471ea0336/cffi-2.0.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:7a66c7204d8869299919db4d5069a82f1561581af12b11b3c9f48c584eb8743d", size = 185013, upload-time = "2025-09-08T23:23:30.63Z" },
+    { url = "https://files.pythonhosted.org/packages/be/b4/c56878d0d1755cf9caa54ba71e5d049479c52f9e4afc230f06822162ab2f/cffi-2.0.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:7cc09976e8b56f8cebd752f7113ad07752461f48a58cbba644139015ac24954c", size = 221593, upload-time = "2025-09-08T23:23:31.91Z" },
+    { url = "https://files.pythonhosted.org/packages/e0/0d/eb704606dfe8033e7128df5e90fee946bbcb64a04fcdaa97321309004000/cffi-2.0.0-cp314-cp314t-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:92b68146a71df78564e4ef48af17551a5ddd142e5190cdf2c5624d0c3ff5b2e8", size = 209354, upload-time = "2025-09-08T23:23:33.214Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/19/3c435d727b368ca475fb8742ab97c9cb13a0de600ce86f62eab7fa3eea60/cffi-2.0.0-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:b1e74d11748e7e98e2f426ab176d4ed720a64412b6a15054378afdb71e0f37dc", size = 208480, upload-time = "2025-09-08T23:23:34.495Z" },
+    { url = "https://files.pythonhosted.org/packages/d0/44/681604464ed9541673e486521497406fadcc15b5217c3e326b061696899a/cffi-2.0.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:28a3a209b96630bca57cce802da70c266eb08c6e97e5afd61a75611ee6c64592", size = 221584, upload-time = "2025-09-08T23:23:36.096Z" },
+    { url = "https://files.pythonhosted.org/packages/25/8e/342a504ff018a2825d395d44d63a767dd8ebc927ebda557fecdaca3ac33a/cffi-2.0.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:7553fb2090d71822f02c629afe6042c299edf91ba1bf94951165613553984512", size = 224443, upload-time = "2025-09-08T23:23:37.328Z" },
+    { url = "https://files.pythonhosted.org/packages/e1/5e/b666bacbbc60fbf415ba9988324a132c9a7a0448a9a8f125074671c0f2c3/cffi-2.0.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:6c6c373cfc5c83a975506110d17457138c8c63016b563cc9ed6e056a82f13ce4", size = 223437, upload-time = "2025-09-08T23:23:38.945Z" },
+    { url = "https://files.pythonhosted.org/packages/a0/1d/ec1a60bd1a10daa292d3cd6bb0b359a81607154fb8165f3ec95fe003b85c/cffi-2.0.0-cp314-cp314t-win32.whl", hash = "sha256:1fc9ea04857caf665289b7a75923f2c6ed559b8298a1b8c49e59f7dd95c8481e", size = 180487, upload-time = "2025-09-08T23:23:40.423Z" },
+    { url = "https://files.pythonhosted.org/packages/bf/41/4c1168c74fac325c0c8156f04b6749c8b6a8f405bbf91413ba088359f60d/cffi-2.0.0-cp314-cp314t-win_amd64.whl", hash = "sha256:d68b6cef7827e8641e8ef16f4494edda8b36104d79773a334beaa1e3521430f6", size = 191726, upload-time = "2025-09-08T23:23:41.742Z" },
+    { url = "https://files.pythonhosted.org/packages/ae/3a/dbeec9d1ee0844c679f6bb5d6ad4e9f198b1224f4e7a32825f47f6192b0c/cffi-2.0.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0a1527a803f0a659de1af2e1fd700213caba79377e27e4693648c2923da066f9", size = 184195, upload-time = "2025-09-08T23:23:43.004Z" },
+]
+
+[[package]]
+name = "cftime"
+version = "1.6.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/65/dc/470ffebac2eb8c54151eb893055024fe81b1606e7c6ff8449a588e9cd17f/cftime-1.6.5.tar.gz", hash = "sha256:8225fed6b9b43fb87683ebab52130450fc1730011150d3092096a90e54d1e81e", size = 326605, upload-time = "2025-10-13T18:56:26.352Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e4/f6/9da7aba9548ede62d25936b8b448acd7e53e5dcc710896f66863dcc9a318/cftime-1.6.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:474e728f5a387299418f8d7cb9c52248dcd5d977b2a01de7ec06bba572e26b02", size = 512733, upload-time = "2025-10-13T18:56:00.189Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/d5/d86ad95fc1fd89947c34b495ff6487b6d361cf77500217423b4ebcb1f0c2/cftime-1.6.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ab9e80d4de815cac2e2d88a2335231254980e545d0196eb34ee8f7ed612645f1", size = 492946, upload-time = "2025-10-13T18:56:01.262Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/93/d7e8dd76b03a9d5be41a3b3185feffc7ea5359228bdffe7aa43ac772a75b/cftime-1.6.5-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ad24a563784e4795cb3d04bd985895b5db49ace2cbb71fcf1321fd80141f9a52", size = 1689856, upload-time = "2025-10-13T19:39:12.873Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/8d/86586c0d75110f774e46e2bd6d134e2d1cca1dedc9bb08c388fa3df76acd/cftime-1.6.5-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a3cda6fd12c7fb25eff40a6a857a2bf4d03e8cc71f80485d8ddc65ccbd80f16a", size = 1718573, upload-time = "2025-10-13T18:56:02.788Z" },
+    { url = "https://files.pythonhosted.org/packages/bb/fe/7956914cfc135992e89098ebbc67d683c51ace5366ba4b114fef1de89b21/cftime-1.6.5-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:28cda78d685397ba23d06273b9c916c3938d8d9e6872a537e76b8408a321369b", size = 1788563, upload-time = "2025-10-13T18:56:04.075Z" },
+    { url = "https://files.pythonhosted.org/packages/e5/c7/6669708fcfe1bb7b2a7ce693b8cc67165eac00d3ac5a5e8f6ce1be551ff9/cftime-1.6.5-cp311-cp311-win_amd64.whl", hash = "sha256:93ead088e3a216bdeb9368733a0ef89a7451dfc1d2de310c1c0366a56ad60dc8", size = 473631, upload-time = "2025-10-13T18:56:05.159Z" },
+    { url = "https://files.pythonhosted.org/packages/82/c5/d70cb1ab533ca790d7c9b69f98215fa4fead17f05547e928c8f2b8f96e54/cftime-1.6.5-cp311-cp311-win_arm64.whl", hash = "sha256:3384d69a0a7f3d45bded21a8cbcce66c8ba06c13498eac26c2de41b1b9b6e890", size = 459383, upload-time = "2026-01-02T21:16:47.317Z" },
+    { url = "https://files.pythonhosted.org/packages/b6/c1/e8cb7f78a3f87295450e7300ebaecf83076d96a99a76190593d4e1d2be40/cftime-1.6.5-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:eef25caed5ebd003a38719bd3ff8847cd52ef2ea56c3ebdb2c9345ba131fc7c5", size = 504175, upload-time = "2025-10-13T18:56:06.398Z" },
+    { url = "https://files.pythonhosted.org/packages/50/1a/86e1072b09b2f9049bb7378869f64b6747f96a4f3008142afed8955b52a4/cftime-1.6.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c87d2f3b949e45463e559233c69e6a9cf691b2b378c1f7556166adfabbd1c6b0", size = 485980, upload-time = "2025-10-13T18:56:08.669Z" },
+    { url = "https://files.pythonhosted.org/packages/35/28/d3177b60da3f308b60dee2aef2eb69997acfab1e863f0bf0d2a418396ce5/cftime-1.6.5-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:82cb413973cc51b55642b3a1ca5b28db5b93a294edbef7dc049c074b478b4647", size = 1591166, upload-time = "2025-10-13T19:39:14.109Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/fd/a7266970312df65e68b5641b86e0540a739182f5e9c62eec6dbd29f18055/cftime-1.6.5-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:85ba8e7356d239cfe56ef7707ac30feaf67964642ac760a82e507ee3c5db4ac4", size = 1642614, upload-time = "2025-10-13T18:56:09.815Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/73/f0035a4bc2df8885bb7bd5fe63659686ea1ec7d0cc74b4e3d50e447402e5/cftime-1.6.5-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:456039af7907a3146689bb80bfd8edabd074c7f3b4eca61f91b9c2670addd7ad", size = 1688090, upload-time = "2025-10-13T18:56:11.442Z" },
+    { url = "https://files.pythonhosted.org/packages/88/15/8856a0ab76708553ff597dd2e617b088c734ba87dc3fd395e2b2f3efffe8/cftime-1.6.5-cp312-cp312-win_amd64.whl", hash = "sha256:da84534c43699960dc980a9a765c33433c5de1a719a4916748c2d0e97a071e44", size = 464840, upload-time = "2025-10-13T18:56:12.506Z" },
+    { url = "https://files.pythonhosted.org/packages/3a/85/451009a986d9273d2208fc0898aa00262275b5773259bf3f942f6716a9e7/cftime-1.6.5-cp312-cp312-win_arm64.whl", hash = "sha256:c62cd8db9ea40131eea7d4523691c5d806d3265d31279e4a58574a42c28acd77", size = 450534, upload-time = "2026-01-02T21:16:48.784Z" },
+    { url = "https://files.pythonhosted.org/packages/2e/60/74ea344b3b003fada346ed98a6899085d6fd4c777df608992d90c458fda6/cftime-1.6.5-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:4aba66fd6497711a47c656f3a732c2d1755ad15f80e323c44a8716ebde39ddd5", size = 502453, upload-time = "2025-10-13T18:56:13.545Z" },
+    { url = "https://files.pythonhosted.org/packages/1e/14/adb293ac6127079b49ff11c05cf3d5ce5c1f17d097f326dc02d74ddfcb6e/cftime-1.6.5-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:89e7cba699242366e67d6fb5aee579440e791063f92a93853610c91647167c0d", size = 484541, upload-time = "2025-10-13T18:56:14.612Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/74/bb8a4566af8d0ef3f045d56c462a9115da4f04b07c7fbbf2b4875223eebd/cftime-1.6.5-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2f1eb43d7a7b919ec99aee709fb62ef87ef1cf0679829ef93d37cc1c725781e9", size = 1591014, upload-time = "2025-10-13T19:39:15.346Z" },
+    { url = "https://files.pythonhosted.org/packages/ba/08/52f06ff2f04d376f9cd2c211aefcf2b37f1978e43289341f362fc99f6a0e/cftime-1.6.5-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e02a1d80ffc33fe469c7db68aa24c4a87f01da0c0c621373e5edadc92964900b", size = 1633625, upload-time = "2025-10-13T18:56:15.745Z" },
+    { url = "https://files.pythonhosted.org/packages/cf/33/03e0b23d58ea8fab94ecb4f7c5b721e844a0800c13694876149d98830a73/cftime-1.6.5-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:18ab754805233cdd889614b2b3b86a642f6d51a57a1ec327c48053f3414f87d8", size = 1684269, upload-time = "2025-10-13T18:56:17.04Z" },
+    { url = "https://files.pythonhosted.org/packages/a4/60/a0cfba63847b43599ef1cdbbf682e61894994c22b9a79fd9e1e8c7e9de41/cftime-1.6.5-cp313-cp313-win_amd64.whl", hash = "sha256:6c27add8f907f4a4cd400e89438f2ea33e2eb5072541a157a4d013b7dbe93f9c", size = 465364, upload-time = "2025-10-13T18:56:18.05Z" },
+    { url = "https://files.pythonhosted.org/packages/3d/e8/ec32f2aef22c15604e6fda39ff8d581a00b5469349f8fba61640d5358d2c/cftime-1.6.5-cp313-cp313-win_arm64.whl", hash = "sha256:31d1ff8f6bbd4ca209099d24459ec16dea4fb4c9ab740fbb66dd057ccbd9b1b9", size = 450468, upload-time = "2026-01-02T21:16:50.193Z" },
+    { url = "https://files.pythonhosted.org/packages/ea/6c/a9618f589688358e279720f5c0fe67ef0077fba07334ce26895403ebc260/cftime-1.6.5-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:c69ce3bdae6a322cbb44e9ebc20770d47748002fb9d68846a1e934f1bd5daf0b", size = 502725, upload-time = "2025-10-13T18:56:19.424Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/e3/da3c36398bfb730b96248d006cabaceed87e401ff56edafb2a978293e228/cftime-1.6.5-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:e62e9f2943e014c5ef583245bf2e878398af131c97e64f8cd47c1d7baef5c4e2", size = 485445, upload-time = "2025-10-13T18:56:20.853Z" },
+    { url = "https://files.pythonhosted.org/packages/32/93/b05939e5abd14bd1ab69538bbe374b4ee2a15467b189ff895e9a8cdaddf6/cftime-1.6.5-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:7da5fdaa4360d8cb89b71b8ded9314f2246aa34581e8105c94ad58d6102d9e4f", size = 1584434, upload-time = "2025-10-13T19:39:17.084Z" },
+    { url = "https://files.pythonhosted.org/packages/7f/89/648397f9936e0b330999c4e776ebf296ec3c6a65f9901687dbca4ab820da/cftime-1.6.5-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bff865b4ea4304f2744a1ad2b8149b8328b321dd7a2b9746ef926d229bd7cd49", size = 1609812, upload-time = "2025-10-13T18:56:21.971Z" },
+    { url = "https://files.pythonhosted.org/packages/e7/0f/901b4835aa67ad3e915605d4e01d0af80a44b114eefab74ae33de6d36933/cftime-1.6.5-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:e552c5d1c8a58f25af7521e49237db7ca52ed2953e974fe9f7c4491e95fdd36c", size = 1669768, upload-time = "2025-10-13T18:56:24.027Z" },
+    { url = "https://files.pythonhosted.org/packages/22/d5/e605e4b28363e7a9ae98ed12cabbda5b155b6009270e6a231d8f10182a17/cftime-1.6.5-cp314-cp314-win_amd64.whl", hash = "sha256:e645b095dc50a38ac454b7e7f0742f639e7d7f6b108ad329358544a6ff8c9ba2", size = 463818, upload-time = "2025-10-13T18:56:25.376Z" },
+    { url = "https://files.pythonhosted.org/packages/3d/89/a8f85ae697ff10206ec401c2621f5ca9f327554f586d62f244739ceeb347/cftime-1.6.5-cp314-cp314-win_arm64.whl", hash = "sha256:b9044d7ac82d3d8af189df1032fdc871bbd3f3dd41a6ec79edceb5029b71e6e0", size = 459862, upload-time = "2026-01-02T20:45:02.625Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/05/7410e12fd03a0c52717e74e6a1b49958810807dda212e23b65d43ea99676/cftime-1.6.5-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:9ef56460cb0576e1a9161e1428c9e1a633f809a23fa9d598f313748c1ae5064e", size = 533781, upload-time = "2026-01-02T20:45:04.818Z" },
+    { url = "https://files.pythonhosted.org/packages/44/ba/10e3546426d3ed9f9cc82e4a99836bb6fac1642c7830f7bdd0ac1c3f0805/cftime-1.6.5-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:4f4873d38b10032f9f3111c547a1d485519ae64eee6a7a2d091f1f8b08e1ba50", size = 515218, upload-time = "2026-01-02T20:45:06.788Z" },
+    { url = "https://files.pythonhosted.org/packages/bd/68/efa11eae867749e921bfec6a865afdba8166e96188112dde70bb8bb49254/cftime-1.6.5-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ccce0f4c9d3f38dd948a117e578b50d0e0db11e2ca9435fb358fd524813e4b61", size = 1579932, upload-time = "2026-01-02T20:45:11.194Z" },
+    { url = "https://files.pythonhosted.org/packages/9d/6c/0971e602c1390a423e6621dfbad9f1d375186bdaf9c9c7f75e06f1fbf355/cftime-1.6.5-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:19cbfc5152fb0b34ce03acf9668229af388d7baa63a78f936239cb011ccbe6b1", size = 1555894, upload-time = "2026-01-02T20:45:16.351Z" },
+    { url = "https://files.pythonhosted.org/packages/ad/fc/8475a15b7c3209a4a68b563dfc5e01ce74f2d8b9822372c3d30c68ab7f39/cftime-1.6.5-cp314-cp314t-win_amd64.whl", hash = "sha256:4470cd5ef3c2514566f53efbcbb64dd924fa0584637d90285b2f983bd4ee7d97", size = 513027, upload-time = "2026-01-02T20:45:20.023Z" },
+    { url = "https://files.pythonhosted.org/packages/f7/80/4ecbda8318fbf40ad4e005a4a93aebba69e81382e5b4c6086251cd5d0ee8/cftime-1.6.5-cp314-cp314t-win_arm64.whl", hash = "sha256:034c15a67144a0a5590ef150c99f844897618b148b87131ed34fda7072614662", size = 469065, upload-time = "2026-01-02T20:45:23.398Z" },
+]
+
+[[package]]
+name = "charset-normalizer"
+version = "3.4.6"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/7b/60/e3bec1881450851b087e301bedc3daa9377a4d45f1c26aa90b0b235e38aa/charset_normalizer-3.4.6.tar.gz", hash = "sha256:1ae6b62897110aa7c79ea2f5dd38d1abca6db663687c0b1ad9aed6f6bae3d9d6", size = 143363, upload-time = "2026-03-15T18:53:25.478Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/62/28/ff6f234e628a2de61c458be2779cb182bc03f6eec12200d4a525bbfc9741/charset_normalizer-3.4.6-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:82060f995ab5003a2d6e0f4ad29065b7672b6593c8c63559beefe5b443242c3e", size = 293582, upload-time = "2026-03-15T18:50:25.454Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/b7/b1a117e5385cbdb3205f6055403c2a2a220c5ea80b8716c324eaf75c5c95/charset_normalizer-3.4.6-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:60c74963d8350241a79cb8feea80e54d518f72c26db618862a8f53e5023deaf9", size = 197240, upload-time = "2026-03-15T18:50:27.196Z" },
+    { url = "https://files.pythonhosted.org/packages/a1/5f/2574f0f09f3c3bc1b2f992e20bce6546cb1f17e111c5be07308dc5427956/charset_normalizer-3.4.6-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f6e4333fb15c83f7d1482a76d45a0818897b3d33f00efd215528ff7c51b8e35d", size = 217363, upload-time = "2026-03-15T18:50:28.601Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/d1/0ae20ad77bc949ddd39b51bf383b6ca932f2916074c95cad34ae465ab71f/charset_normalizer-3.4.6-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:bc72863f4d9aba2e8fd9085e63548a324ba706d2ea2c83b260da08a59b9482de", size = 212994, upload-time = "2026-03-15T18:50:30.102Z" },
+    { url = "https://files.pythonhosted.org/packages/60/ac/3233d262a310c1b12633536a07cde5ddd16985e6e7e238e9f3f9423d8eb9/charset_normalizer-3.4.6-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9cc4fc6c196d6a8b76629a70ddfcd4635a6898756e2d9cac5565cf0654605d73", size = 204697, upload-time = "2026-03-15T18:50:31.654Z" },
+    { url = "https://files.pythonhosted.org/packages/25/3c/8a18fc411f085b82303cfb7154eed5bd49c77035eb7608d049468b53f87c/charset_normalizer-3.4.6-cp311-cp311-manylinux_2_31_armv7l.whl", hash = "sha256:0c173ce3a681f309f31b87125fecec7a5d1347261ea11ebbb856fa6006b23c8c", size = 191673, upload-time = "2026-03-15T18:50:33.433Z" },
+    { url = "https://files.pythonhosted.org/packages/ff/a7/11cfe61d6c5c5c7438d6ba40919d0306ed83c9ab957f3d4da2277ff67836/charset_normalizer-3.4.6-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:c907cdc8109f6c619e6254212e794d6548373cc40e1ec75e6e3823d9135d29cc", size = 201120, upload-time = "2026-03-15T18:50:35.105Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/10/cf491fa1abd47c02f69687046b896c950b92b6cd7337a27e6548adbec8e4/charset_normalizer-3.4.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:404a1e552cf5b675a87f0651f8b79f5f1e6fd100ee88dc612f89aa16abd4486f", size = 200911, upload-time = "2026-03-15T18:50:36.819Z" },
+    { url = "https://files.pythonhosted.org/packages/28/70/039796160b48b18ed466fde0af84c1b090c4e288fae26cd674ad04a2d703/charset_normalizer-3.4.6-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:e3c701e954abf6fc03a49f7c579cc80c2c6cc52525340ca3186c41d3f33482ef", size = 192516, upload-time = "2026-03-15T18:50:38.228Z" },
+    { url = "https://files.pythonhosted.org/packages/ff/34/c56f3223393d6ff3124b9e78f7de738047c2d6bc40a4f16ac0c9d7a1cb3c/charset_normalizer-3.4.6-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:7a6967aaf043bceabab5412ed6bd6bd26603dae84d5cb75bf8d9a74a4959d398", size = 218795, upload-time = "2026-03-15T18:50:39.664Z" },
+    { url = "https://files.pythonhosted.org/packages/e8/3b/ce2d4f86c5282191a041fdc5a4ce18f1c6bd40a5bd1f74cf8625f08d51c1/charset_normalizer-3.4.6-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:5feb91325bbceade6afab43eb3b508c63ee53579fe896c77137ded51c6b6958e", size = 201833, upload-time = "2026-03-15T18:50:41.552Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/9b/b6a9f76b0fd7c5b5ec58b228ff7e85095370282150f0bd50b3126f5506d6/charset_normalizer-3.4.6-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:f820f24b09e3e779fe84c3c456cb4108a7aa639b0d1f02c28046e11bfcd088ed", size = 213920, upload-time = "2026-03-15T18:50:43.33Z" },
+    { url = "https://files.pythonhosted.org/packages/ae/98/7bc23513a33d8172365ed30ee3a3b3fe1ece14a395e5fc94129541fc6003/charset_normalizer-3.4.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b35b200d6a71b9839a46b9b7fff66b6638bb52fc9658aa58796b0326595d3021", size = 206951, upload-time = "2026-03-15T18:50:44.789Z" },
+    { url = "https://files.pythonhosted.org/packages/32/73/c0b86f3d1458468e11aec870e6b3feac931facbe105a894b552b0e518e79/charset_normalizer-3.4.6-cp311-cp311-win32.whl", hash = "sha256:9ca4c0b502ab399ef89248a2c84c54954f77a070f28e546a85e91da627d1301e", size = 143703, upload-time = "2026-03-15T18:50:46.103Z" },
+    { url = "https://files.pythonhosted.org/packages/c6/e3/76f2facfe8eddee0bbd38d2594e709033338eae44ebf1738bcefe0a06185/charset_normalizer-3.4.6-cp311-cp311-win_amd64.whl", hash = "sha256:a9e68c9d88823b274cf1e72f28cb5dc89c990edf430b0bfd3e2fb0785bfeabf4", size = 153857, upload-time = "2026-03-15T18:50:47.563Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/dc/9abe19c9b27e6cd3636036b9d1b387b78c40dedbf0b47f9366737684b4b0/charset_normalizer-3.4.6-cp311-cp311-win_arm64.whl", hash = "sha256:97d0235baafca5f2b09cf332cc275f021e694e8362c6bb9c96fc9a0eb74fc316", size = 142751, upload-time = "2026-03-15T18:50:49.234Z" },
+    { url = "https://files.pythonhosted.org/packages/e5/62/c0815c992c9545347aeea7859b50dc9044d147e2e7278329c6e02ac9a616/charset_normalizer-3.4.6-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:2ef7fedc7a6ecbe99969cd09632516738a97eeb8bd7258bf8a0f23114c057dab", size = 295154, upload-time = "2026-03-15T18:50:50.88Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/37/bdca6613c2e3c58c7421891d80cc3efa1d32e882f7c4a7ee6039c3fc951a/charset_normalizer-3.4.6-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a4ea868bc28109052790eb2b52a9ab33f3aa7adc02f96673526ff47419490e21", size = 199191, upload-time = "2026-03-15T18:50:52.658Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/92/9934d1bbd69f7f398b38c5dae1cbf9cc672e7c34a4adf7b17c0a9c17d15d/charset_normalizer-3.4.6-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:836ab36280f21fc1a03c99cd05c6b7af70d2697e374c7af0b61ed271401a72a2", size = 218674, upload-time = "2026-03-15T18:50:54.102Z" },
+    { url = "https://files.pythonhosted.org/packages/af/90/25f6ab406659286be929fd89ab0e78e38aa183fc374e03aa3c12d730af8a/charset_normalizer-3.4.6-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:f1ce721c8a7dfec21fcbdfe04e8f68174183cf4e8188e0645e92aa23985c57ff", size = 215259, upload-time = "2026-03-15T18:50:55.616Z" },
+    { url = "https://files.pythonhosted.org/packages/4e/ef/79a463eb0fff7f96afa04c1d4c51f8fc85426f918db467854bfb6a569ce3/charset_normalizer-3.4.6-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0e28d62a8fc7a1fa411c43bd65e346f3bce9716dc51b897fbe930c5987b402d5", size = 207276, upload-time = "2026-03-15T18:50:57.054Z" },
+    { url = "https://files.pythonhosted.org/packages/f7/72/d0426afec4b71dc159fa6b4e68f868cd5a3ecd918fec5813a15d292a7d10/charset_normalizer-3.4.6-cp312-cp312-manylinux_2_31_armv7l.whl", hash = "sha256:530d548084c4a9f7a16ed4a294d459b4f229db50df689bfe92027452452943a0", size = 195161, upload-time = "2026-03-15T18:50:58.686Z" },
+    { url = "https://files.pythonhosted.org/packages/bf/18/c82b06a68bfcb6ce55e508225d210c7e6a4ea122bfc0748892f3dc4e8e11/charset_normalizer-3.4.6-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:30f445ae60aad5e1f8bdbb3108e39f6fbc09f4ea16c815c66578878325f8f15a", size = 203452, upload-time = "2026-03-15T18:51:00.196Z" },
+    { url = "https://files.pythonhosted.org/packages/44/d6/0c25979b92f8adafdbb946160348d8d44aa60ce99afdc27df524379875cb/charset_normalizer-3.4.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:ac2393c73378fea4e52aa56285a3d64be50f1a12395afef9cce47772f60334c2", size = 202272, upload-time = "2026-03-15T18:51:01.703Z" },
+    { url = "https://files.pythonhosted.org/packages/2e/3d/7fea3e8fe84136bebbac715dd1221cc25c173c57a699c030ab9b8900cbb7/charset_normalizer-3.4.6-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:90ca27cd8da8118b18a52d5f547859cc1f8354a00cd1e8e5120df3e30d6279e5", size = 195622, upload-time = "2026-03-15T18:51:03.526Z" },
+    { url = "https://files.pythonhosted.org/packages/57/8a/d6f7fd5cb96c58ef2f681424fbca01264461336d2a7fc875e4446b1f1346/charset_normalizer-3.4.6-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:8e5a94886bedca0f9b78fecd6afb6629142fd2605aa70a125d49f4edc6037ee6", size = 220056, upload-time = "2026-03-15T18:51:05.269Z" },
+    { url = "https://files.pythonhosted.org/packages/16/50/478cdda782c8c9c3fb5da3cc72dd7f331f031e7f1363a893cdd6ca0f8de0/charset_normalizer-3.4.6-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:695f5c2823691a25f17bc5d5ffe79fa90972cc34b002ac6c843bb8a1720e950d", size = 203751, upload-time = "2026-03-15T18:51:06.858Z" },
+    { url = "https://files.pythonhosted.org/packages/75/fc/cc2fcac943939c8e4d8791abfa139f685e5150cae9f94b60f12520feaa9b/charset_normalizer-3.4.6-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:231d4da14bcd9301310faf492051bee27df11f2bc7549bc0bb41fef11b82daa2", size = 216563, upload-time = "2026-03-15T18:51:08.564Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/b7/a4add1d9a5f68f3d037261aecca83abdb0ab15960a3591d340e829b37298/charset_normalizer-3.4.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:a056d1ad2633548ca18ffa2f85c202cfb48b68615129143915b8dc72a806a923", size = 209265, upload-time = "2026-03-15T18:51:10.312Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/18/c094561b5d64a24277707698e54b7f67bd17a4f857bbfbb1072bba07c8bf/charset_normalizer-3.4.6-cp312-cp312-win32.whl", hash = "sha256:c2274ca724536f173122f36c98ce188fd24ce3dad886ec2b7af859518ce008a4", size = 144229, upload-time = "2026-03-15T18:51:11.694Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/20/0567efb3a8fd481b8f34f739ebddc098ed062a59fed41a8d193a61939e8f/charset_normalizer-3.4.6-cp312-cp312-win_amd64.whl", hash = "sha256:c8ae56368f8cc97c7e40a7ee18e1cedaf8e780cd8bc5ed5ac8b81f238614facb", size = 154277, upload-time = "2026-03-15T18:51:13.004Z" },
+    { url = "https://files.pythonhosted.org/packages/15/57/28d79b44b51933119e21f65479d0864a8d5893e494cf5daab15df0247c17/charset_normalizer-3.4.6-cp312-cp312-win_arm64.whl", hash = "sha256:899d28f422116b08be5118ef350c292b36fc15ec2daeb9ea987c89281c7bb5c4", size = 142817, upload-time = "2026-03-15T18:51:14.408Z" },
+    { url = "https://files.pythonhosted.org/packages/1e/1d/4fdabeef4e231153b6ed7567602f3b68265ec4e5b76d6024cf647d43d981/charset_normalizer-3.4.6-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:11afb56037cbc4b1555a34dd69151e8e069bee82e613a73bef6e714ce733585f", size = 294823, upload-time = "2026-03-15T18:51:15.755Z" },
+    { url = "https://files.pythonhosted.org/packages/47/7b/20e809b89c69d37be748d98e84dce6820bf663cf19cf6b942c951a3e8f41/charset_normalizer-3.4.6-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:423fb7e748a08f854a08a222b983f4df1912b1daedce51a72bd24fe8f26a1843", size = 198527, upload-time = "2026-03-15T18:51:17.177Z" },
+    { url = "https://files.pythonhosted.org/packages/37/a6/4f8d27527d59c039dce6f7622593cdcd3d70a8504d87d09eb11e9fdc6062/charset_normalizer-3.4.6-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:d73beaac5e90173ac3deb9928a74763a6d230f494e4bfb422c217a0ad8e629bf", size = 218388, upload-time = "2026-03-15T18:51:18.934Z" },
+    { url = "https://files.pythonhosted.org/packages/f6/9b/4770ccb3e491a9bacf1c46cc8b812214fe367c86a96353ccc6daf87b01ec/charset_normalizer-3.4.6-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d60377dce4511655582e300dc1e5a5f24ba0cb229005a1d5c8d0cb72bb758ab8", size = 214563, upload-time = "2026-03-15T18:51:20.374Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/58/a199d245894b12db0b957d627516c78e055adc3a0d978bc7f65ddaf7c399/charset_normalizer-3.4.6-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:530e8cebeea0d76bdcf93357aa5e41336f48c3dc709ac52da2bb167c5b8271d9", size = 206587, upload-time = "2026-03-15T18:51:21.807Z" },
+    { url = "https://files.pythonhosted.org/packages/7e/70/3def227f1ec56f5c69dfc8392b8bd63b11a18ca8178d9211d7cc5e5e4f27/charset_normalizer-3.4.6-cp313-cp313-manylinux_2_31_armv7l.whl", hash = "sha256:a26611d9987b230566f24a0a125f17fe0de6a6aff9f25c9f564aaa2721a5fb88", size = 194724, upload-time = "2026-03-15T18:51:23.508Z" },
+    { url = "https://files.pythonhosted.org/packages/58/ab/9318352e220c05efd31c2779a23b50969dc94b985a2efa643ed9077bfca5/charset_normalizer-3.4.6-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:34315ff4fc374b285ad7f4a0bf7dcbfe769e1b104230d40f49f700d4ab6bbd84", size = 202956, upload-time = "2026-03-15T18:51:25.239Z" },
+    { url = "https://files.pythonhosted.org/packages/75/13/f3550a3ac25b70f87ac98c40d3199a8503676c2f1620efbf8d42095cfc40/charset_normalizer-3.4.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5f8ddd609f9e1af8c7bd6e2aca279c931aefecd148a14402d4e368f3171769fd", size = 201923, upload-time = "2026-03-15T18:51:26.682Z" },
+    { url = "https://files.pythonhosted.org/packages/1b/db/c5c643b912740b45e8eec21de1bbab8e7fc085944d37e1e709d3dcd9d72f/charset_normalizer-3.4.6-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:80d0a5615143c0b3225e5e3ef22c8d5d51f3f72ce0ea6fb84c943546c7b25b6c", size = 195366, upload-time = "2026-03-15T18:51:28.129Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/67/3b1c62744f9b2448443e0eb160d8b001c849ec3fef591e012eda6484787c/charset_normalizer-3.4.6-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:92734d4d8d187a354a556626c221cd1a892a4e0802ccb2af432a1d85ec012194", size = 219752, upload-time = "2026-03-15T18:51:29.556Z" },
+    { url = "https://files.pythonhosted.org/packages/f6/98/32ffbaf7f0366ffb0445930b87d103f6b406bc2c271563644bde8a2b1093/charset_normalizer-3.4.6-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:613f19aa6e082cf96e17e3ffd89383343d0d589abda756b7764cf78361fd41dc", size = 203296, upload-time = "2026-03-15T18:51:30.921Z" },
+    { url = "https://files.pythonhosted.org/packages/41/12/5d308c1bbe60cabb0c5ef511574a647067e2a1f631bc8634fcafaccd8293/charset_normalizer-3.4.6-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:2b1a63e8224e401cafe7739f77efd3f9e7f5f2026bda4aead8e59afab537784f", size = 215956, upload-time = "2026-03-15T18:51:32.399Z" },
+    { url = "https://files.pythonhosted.org/packages/53/e9/5f85f6c5e20669dbe56b165c67b0260547dea97dba7e187938833d791687/charset_normalizer-3.4.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6cceb5473417d28edd20c6c984ab6fee6c6267d38d906823ebfe20b03d607dc2", size = 208652, upload-time = "2026-03-15T18:51:34.214Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/11/897052ea6af56df3eef3ca94edafee410ca699ca0c7b87960ad19932c55e/charset_normalizer-3.4.6-cp313-cp313-win32.whl", hash = "sha256:d7de2637729c67d67cf87614b566626057e95c303bc0a55ffe391f5205e7003d", size = 143940, upload-time = "2026-03-15T18:51:36.15Z" },
+    { url = "https://files.pythonhosted.org/packages/a1/5c/724b6b363603e419829f561c854b87ed7c7e31231a7908708ac086cdf3e2/charset_normalizer-3.4.6-cp313-cp313-win_amd64.whl", hash = "sha256:572d7c822caf521f0525ba1bce1a622a0b85cf47ffbdae6c9c19e3b5ac3c4389", size = 154101, upload-time = "2026-03-15T18:51:37.876Z" },
+    { url = "https://files.pythonhosted.org/packages/01/a5/7abf15b4c0968e47020f9ca0935fb3274deb87cb288cd187cad92e8cdffd/charset_normalizer-3.4.6-cp313-cp313-win_arm64.whl", hash = "sha256:a4474d924a47185a06411e0064b803c68be044be2d60e50e8bddcc2649957c1f", size = 143109, upload-time = "2026-03-15T18:51:39.565Z" },
+    { url = "https://files.pythonhosted.org/packages/25/6f/ffe1e1259f384594063ea1869bfb6be5cdb8bc81020fc36c3636bc8302a1/charset_normalizer-3.4.6-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:9cc6e6d9e571d2f863fa77700701dae73ed5f78881efc8b3f9a4398772ff53e8", size = 294458, upload-time = "2026-03-15T18:51:41.134Z" },
+    { url = "https://files.pythonhosted.org/packages/56/60/09bb6c13a8c1016c2ed5c6a6488e4ffef506461aa5161662bd7636936fb1/charset_normalizer-3.4.6-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ef5960d965e67165d75b7c7ffc60a83ec5abfc5c11b764ec13ea54fbef8b4421", size = 199277, upload-time = "2026-03-15T18:51:42.953Z" },
+    { url = "https://files.pythonhosted.org/packages/00/50/dcfbb72a5138bbefdc3332e8d81a23494bf67998b4b100703fd15fa52d81/charset_normalizer-3.4.6-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b3694e3f87f8ac7ce279d4355645b3c878d24d1424581b46282f24b92f5a4ae2", size = 218758, upload-time = "2026-03-15T18:51:44.339Z" },
+    { url = "https://files.pythonhosted.org/packages/03/b3/d79a9a191bb75f5aa81f3aaaa387ef29ce7cb7a9e5074ba8ea095cc073c2/charset_normalizer-3.4.6-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5d11595abf8dd942a77883a39d81433739b287b6aa71620f15164f8096221b30", size = 215299, upload-time = "2026-03-15T18:51:45.871Z" },
+    { url = "https://files.pythonhosted.org/packages/76/7e/bc8911719f7084f72fd545f647601ea3532363927f807d296a8c88a62c0d/charset_normalizer-3.4.6-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7bda6eebafd42133efdca535b04ccb338ab29467b3f7bf79569883676fc628db", size = 206811, upload-time = "2026-03-15T18:51:47.308Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/40/c430b969d41dda0c465aa36cc7c2c068afb67177bef50905ac371b28ccc7/charset_normalizer-3.4.6-cp314-cp314-manylinux_2_31_armv7l.whl", hash = "sha256:bbc8c8650c6e51041ad1be191742b8b421d05bbd3410f43fa2a00c8db87678e8", size = 193706, upload-time = "2026-03-15T18:51:48.849Z" },
+    { url = "https://files.pythonhosted.org/packages/48/15/e35e0590af254f7df984de1323640ef375df5761f615b6225ba8deb9799a/charset_normalizer-3.4.6-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:22c6f0c2fbc31e76c3b8a86fba1a56eda6166e238c29cdd3d14befdb4a4e4815", size = 202706, upload-time = "2026-03-15T18:51:50.257Z" },
+    { url = "https://files.pythonhosted.org/packages/5e/bd/f736f7b9cc5e93a18b794a50346bb16fbfd6b37f99e8f306f7951d27c17c/charset_normalizer-3.4.6-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:7edbed096e4a4798710ed6bc75dcaa2a21b68b6c356553ac4823c3658d53743a", size = 202497, upload-time = "2026-03-15T18:51:52.012Z" },
+    { url = "https://files.pythonhosted.org/packages/9d/ba/2cc9e3e7dfdf7760a6ed8da7446d22536f3d0ce114ac63dee2a5a3599e62/charset_normalizer-3.4.6-cp314-cp314-musllinux_1_2_armv7l.whl", hash = "sha256:7f9019c9cb613f084481bd6a100b12e1547cf2efe362d873c2e31e4035a6fa43", size = 193511, upload-time = "2026-03-15T18:51:53.723Z" },
+    { url = "https://files.pythonhosted.org/packages/9e/cb/5be49b5f776e5613be07298c80e1b02a2d900f7a7de807230595c85a8b2e/charset_normalizer-3.4.6-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:58c948d0d086229efc484fe2f30c2d382c86720f55cd9bc33591774348ad44e0", size = 220133, upload-time = "2026-03-15T18:51:55.333Z" },
+    { url = "https://files.pythonhosted.org/packages/83/43/99f1b5dad345accb322c80c7821071554f791a95ee50c1c90041c157ae99/charset_normalizer-3.4.6-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:419a9d91bd238052642a51938af8ac05da5b3343becde08d5cdeab9046df9ee1", size = 203035, upload-time = "2026-03-15T18:51:56.736Z" },
+    { url = "https://files.pythonhosted.org/packages/87/9a/62c2cb6a531483b55dddff1a68b3d891a8b498f3ca555fbcf2978e804d9d/charset_normalizer-3.4.6-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:5273b9f0b5835ff0350c0828faea623c68bfa65b792720c453e22b25cc72930f", size = 216321, upload-time = "2026-03-15T18:51:58.17Z" },
+    { url = "https://files.pythonhosted.org/packages/6e/79/94a010ff81e3aec7c293eb82c28f930918e517bc144c9906a060844462eb/charset_normalizer-3.4.6-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:0e901eb1049fdb80f5bd11ed5ea1e498ec423102f7a9b9e4645d5b8204ff2815", size = 208973, upload-time = "2026-03-15T18:51:59.998Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/57/4ecff6d4ec8585342f0c71bc03efaa99cb7468f7c91a57b105bcd561cea8/charset_normalizer-3.4.6-cp314-cp314-win32.whl", hash = "sha256:b4ff1d35e8c5bd078be89349b6f3a845128e685e751b6ea1169cf2160b344c4d", size = 144610, upload-time = "2026-03-15T18:52:02.213Z" },
+    { url = "https://files.pythonhosted.org/packages/80/94/8434a02d9d7f168c25767c64671fead8d599744a05d6a6c877144c754246/charset_normalizer-3.4.6-cp314-cp314-win_amd64.whl", hash = "sha256:74119174722c4349af9708993118581686f343adc1c8c9c007d59be90d077f3f", size = 154962, upload-time = "2026-03-15T18:52:03.658Z" },
+    { url = "https://files.pythonhosted.org/packages/46/4c/48f2cdbfd923026503dfd67ccea45c94fd8fe988d9056b468579c66ed62b/charset_normalizer-3.4.6-cp314-cp314-win_arm64.whl", hash = "sha256:e5bcc1a1ae744e0bb59641171ae53743760130600da8db48cbb6e4918e186e4e", size = 143595, upload-time = "2026-03-15T18:52:05.123Z" },
+    { url = "https://files.pythonhosted.org/packages/31/93/8878be7569f87b14f1d52032946131bcb6ebbd8af3e20446bc04053dc3f1/charset_normalizer-3.4.6-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:ad8faf8df23f0378c6d527d8b0b15ea4a2e23c89376877c598c4870d1b2c7866", size = 314828, upload-time = "2026-03-15T18:52:06.831Z" },
+    { url = "https://files.pythonhosted.org/packages/06/b6/fae511ca98aac69ecc35cde828b0a3d146325dd03d99655ad38fc2cc3293/charset_normalizer-3.4.6-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f5ea69428fa1b49573eef0cc44a1d43bebd45ad0c611eb7d7eac760c7ae771bc", size = 208138, upload-time = "2026-03-15T18:52:08.239Z" },
+    { url = "https://files.pythonhosted.org/packages/54/57/64caf6e1bf07274a1e0b7c160a55ee9e8c9ec32c46846ce59b9c333f7008/charset_normalizer-3.4.6-cp314-cp314t-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:06a7e86163334edfc5d20fe104db92fcd666e5a5df0977cb5680a506fe26cc8e", size = 224679, upload-time = "2026-03-15T18:52:10.043Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/cb/9ff5a25b9273ef160861b41f6937f86fae18b0792fe0a8e75e06acb08f1d/charset_normalizer-3.4.6-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:e1f6e2f00a6b8edb562826e4632e26d063ac10307e80f7461f7de3ad8ef3f077", size = 223475, upload-time = "2026-03-15T18:52:11.854Z" },
+    { url = "https://files.pythonhosted.org/packages/fc/97/440635fc093b8d7347502a377031f9605a1039c958f3cd18dcacffb37743/charset_normalizer-3.4.6-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:95b52c68d64c1878818687a473a10547b3292e82b6f6fe483808fb1468e2f52f", size = 215230, upload-time = "2026-03-15T18:52:13.325Z" },
+    { url = "https://files.pythonhosted.org/packages/cd/24/afff630feb571a13f07c8539fbb502d2ab494019492aaffc78ef41f1d1d0/charset_normalizer-3.4.6-cp314-cp314t-manylinux_2_31_armv7l.whl", hash = "sha256:7504e9b7dc05f99a9bbb4525c67a2c155073b44d720470a148b34166a69c054e", size = 199045, upload-time = "2026-03-15T18:52:14.752Z" },
+    { url = "https://files.pythonhosted.org/packages/e5/17/d1399ecdaf7e0498c327433e7eefdd862b41236a7e484355b8e0e5ebd64b/charset_normalizer-3.4.6-cp314-cp314t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:172985e4ff804a7ad08eebec0a1640ece87ba5041d565fff23c8f99c1f389484", size = 211658, upload-time = "2026-03-15T18:52:16.278Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/38/16baa0affb957b3d880e5ac2144caf3f9d7de7bc4a91842e447fbb5e8b67/charset_normalizer-3.4.6-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:4be9f4830ba8741527693848403e2c457c16e499100963ec711b1c6f2049b7c7", size = 210769, upload-time = "2026-03-15T18:52:17.782Z" },
+    { url = "https://files.pythonhosted.org/packages/05/34/c531bc6ac4c21da9ddfddb3107be2287188b3ea4b53b70fc58f2a77ac8d8/charset_normalizer-3.4.6-cp314-cp314t-musllinux_1_2_armv7l.whl", hash = "sha256:79090741d842f564b1b2827c0b82d846405b744d31e84f18d7a7b41c20e473ff", size = 201328, upload-time = "2026-03-15T18:52:19.553Z" },
+    { url = "https://files.pythonhosted.org/packages/fa/73/a5a1e9ca5f234519c1953608a03fe109c306b97fdfb25f09182babad51a7/charset_normalizer-3.4.6-cp314-cp314t-musllinux_1_2_ppc64le.whl", hash = "sha256:87725cfb1a4f1f8c2fc9890ae2f42094120f4b44db9360be5d99a4c6b0e03a9e", size = 225302, upload-time = "2026-03-15T18:52:21.043Z" },
+    { url = "https://files.pythonhosted.org/packages/ba/f6/cd782923d112d296294dea4bcc7af5a7ae0f86ab79f8fefbda5526b6cfc0/charset_normalizer-3.4.6-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:fcce033e4021347d80ed9c66dcf1e7b1546319834b74445f561d2e2221de5659", size = 211127, upload-time = "2026-03-15T18:52:22.491Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/c5/0b6898950627af7d6103a449b22320372c24c6feda91aa24e201a478d161/charset_normalizer-3.4.6-cp314-cp314t-musllinux_1_2_s390x.whl", hash = "sha256:ca0276464d148c72defa8bb4390cce01b4a0e425f3b50d1435aa6d7a18107602", size = 222840, upload-time = "2026-03-15T18:52:24.113Z" },
+    { url = "https://files.pythonhosted.org/packages/7d/25/c4bba773bef442cbdc06111d40daa3de5050a676fa26e85090fc54dd12f0/charset_normalizer-3.4.6-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:197c1a244a274bb016dd8b79204850144ef77fe81c5b797dc389327adb552407", size = 216890, upload-time = "2026-03-15T18:52:25.541Z" },
+    { url = "https://files.pythonhosted.org/packages/35/1a/05dacadb0978da72ee287b0143097db12f2e7e8d3ffc4647da07a383b0b7/charset_normalizer-3.4.6-cp314-cp314t-win32.whl", hash = "sha256:2a24157fa36980478dd1770b585c0f30d19e18f4fb0c47c13aa568f871718579", size = 155379, upload-time = "2026-03-15T18:52:27.05Z" },
+    { url = "https://files.pythonhosted.org/packages/5d/7a/d269d834cb3a76291651256f3b9a5945e81d0a49ab9f4a498964e83c0416/charset_normalizer-3.4.6-cp314-cp314t-win_amd64.whl", hash = "sha256:cd5e2801c89992ed8c0a3f0293ae83c159a60d9a5d685005383ef4caca77f2c4", size = 169043, upload-time = "2026-03-15T18:52:28.502Z" },
+    { url = "https://files.pythonhosted.org/packages/23/06/28b29fba521a37a8932c6a84192175c34d49f84a6d4773fa63d05f9aff22/charset_normalizer-3.4.6-cp314-cp314t-win_arm64.whl", hash = "sha256:47955475ac79cc504ef2704b192364e51d0d473ad452caedd0002605f780101c", size = 148523, upload-time = "2026-03-15T18:52:29.956Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/68/687187c7e26cb24ccbd88e5069f5ef00eba804d36dde11d99aad0838ab45/charset_normalizer-3.4.6-py3-none-any.whl", hash = "sha256:947cf925bc916d90adba35a64c82aace04fa39b46b52d4630ece166655905a69", size = 61455, upload-time = "2026-03-15T18:53:23.833Z" },
+]
+
+[[package]]
+name = "click"
+version = "8.3.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/3d/fa/656b739db8587d7b5dfa22e22ed02566950fbfbcdc20311993483657a5c0/click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a", size = 295065, upload-time = "2025-11-15T20:45:42.706Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/98/78/01c019cdb5d6498122777c1a43056ebb3ebfeef2076d9d026bfe15583b2b/click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6", size = 108274, upload-time = "2025-11-15T20:45:41.139Z" },
+]
+
+[[package]]
+name = "colorama"
+version = "0.4.6"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/d8/53/6f443c9a4a8358a93a6792e2acffb9d9d5cb0a5cfd8802644b7b1c9a02e4/colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44", size = 27697, upload-time = "2022-10-25T02:36:22.414Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" },
+]
+
+[[package]]
+name = "comm"
+version = "0.2.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/4c/13/7d740c5849255756bc17888787313b61fd38a0a8304fc4f073dfc46122aa/comm-0.2.3.tar.gz", hash = "sha256:2dc8048c10962d55d7ad693be1e7045d891b7ce8d999c97963a5e3e99c055971", size = 6319, upload-time = "2025-07-25T14:02:04.452Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/60/97/891a0971e1e4a8c5d2b20bbe0e524dc04548d2307fee33cdeba148fd4fc7/comm-0.2.3-py3-none-any.whl", hash = "sha256:c615d91d75f7f04f095b30d1c1711babd43bdc6419c1be9886a85f2f4e489417", size = 7294, upload-time = "2025-07-25T14:02:02.896Z" },
+]
+
+[[package]]
+name = "contourpy"
+version = "1.3.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/58/01/1253e6698a07380cd31a736d248a3f2a50a7c88779a1813da27503cadc2a/contourpy-1.3.3.tar.gz", hash = "sha256:083e12155b210502d0bca491432bb04d56dc3432f95a979b429f2848c3dbe880", size = 13466174, upload-time = "2025-07-26T12:03:12.549Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/91/2e/c4390a31919d8a78b90e8ecf87cd4b4c4f05a5b48d05ec17db8e5404c6f4/contourpy-1.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:709a48ef9a690e1343202916450bc48b9e51c049b089c7f79a267b46cffcdaa1", size = 288773, upload-time = "2025-07-26T12:01:02.277Z" },
+    { url = "https://files.pythonhosted.org/packages/0d/44/c4b0b6095fef4dc9c420e041799591e3b63e9619e3044f7f4f6c21c0ab24/contourpy-1.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:23416f38bfd74d5d28ab8429cc4d63fa67d5068bd711a85edb1c3fb0c3e2f381", size = 270149, upload-time = "2025-07-26T12:01:04.072Z" },
+    { url = "https://files.pythonhosted.org/packages/30/2e/dd4ced42fefac8470661d7cb7e264808425e6c5d56d175291e93890cce09/contourpy-1.3.3-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:929ddf8c4c7f348e4c0a5a3a714b5c8542ffaa8c22954862a46ca1813b667ee7", size = 329222, upload-time = "2025-07-26T12:01:05.688Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/74/cc6ec2548e3d276c71389ea4802a774b7aa3558223b7bade3f25787fafc2/contourpy-1.3.3-cp311-cp311-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:9e999574eddae35f1312c2b4b717b7885d4edd6cb46700e04f7f02db454e67c1", size = 377234, upload-time = "2025-07-26T12:01:07.054Z" },
+    { url = "https://files.pythonhosted.org/packages/03/b3/64ef723029f917410f75c09da54254c5f9ea90ef89b143ccadb09df14c15/contourpy-1.3.3-cp311-cp311-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:0bf67e0e3f482cb69779dd3061b534eb35ac9b17f163d851e2a547d56dba0a3a", size = 380555, upload-time = "2025-07-26T12:01:08.801Z" },
+    { url = "https://files.pythonhosted.org/packages/5f/4b/6157f24ca425b89fe2eb7e7be642375711ab671135be21e6faa100f7448c/contourpy-1.3.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:51e79c1f7470158e838808d4a996fa9bac72c498e93d8ebe5119bc1e6becb0db", size = 355238, upload-time = "2025-07-26T12:01:10.319Z" },
+    { url = "https://files.pythonhosted.org/packages/98/56/f914f0dd678480708a04cfd2206e7c382533249bc5001eb9f58aa693e200/contourpy-1.3.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:598c3aaece21c503615fd59c92a3598b428b2f01bfb4b8ca9c4edeecc2438620", size = 1326218, upload-time = "2025-07-26T12:01:12.659Z" },
+    { url = "https://files.pythonhosted.org/packages/fb/d7/4a972334a0c971acd5172389671113ae82aa7527073980c38d5868ff1161/contourpy-1.3.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:322ab1c99b008dad206d406bb61d014cf0174df491ae9d9d0fac6a6fda4f977f", size = 1392867, upload-time = "2025-07-26T12:01:15.533Z" },
+    { url = "https://files.pythonhosted.org/packages/75/3e/f2cc6cd56dc8cff46b1a56232eabc6feea52720083ea71ab15523daab796/contourpy-1.3.3-cp311-cp311-win32.whl", hash = "sha256:fd907ae12cd483cd83e414b12941c632a969171bf90fc937d0c9f268a31cafff", size = 183677, upload-time = "2025-07-26T12:01:17.088Z" },
+    { url = "https://files.pythonhosted.org/packages/98/4b/9bd370b004b5c9d8045c6c33cf65bae018b27aca550a3f657cdc99acdbd8/contourpy-1.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:3519428f6be58431c56581f1694ba8e50626f2dd550af225f82fb5f5814d2a42", size = 225234, upload-time = "2025-07-26T12:01:18.256Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/b6/71771e02c2e004450c12b1120a5f488cad2e4d5b590b1af8bad060360fe4/contourpy-1.3.3-cp311-cp311-win_arm64.whl", hash = "sha256:15ff10bfada4bf92ec8b31c62bf7c1834c244019b4a33095a68000d7075df470", size = 193123, upload-time = "2025-07-26T12:01:19.848Z" },
+    { url = "https://files.pythonhosted.org/packages/be/45/adfee365d9ea3d853550b2e735f9d66366701c65db7855cd07621732ccfc/contourpy-1.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b08a32ea2f8e42cf1d4be3169a98dd4be32bafe4f22b6c4cb4ba810fa9e5d2cb", size = 293419, upload-time = "2025-07-26T12:01:21.16Z" },
+    { url = "https://files.pythonhosted.org/packages/53/3e/405b59cfa13021a56bba395a6b3aca8cec012b45bf177b0eaf7a202cde2c/contourpy-1.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:556dba8fb6f5d8742f2923fe9457dbdd51e1049c4a43fd3986a0b14a1d815fc6", size = 273979, upload-time = "2025-07-26T12:01:22.448Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/1c/a12359b9b2ca3a845e8f7f9ac08bdf776114eb931392fcad91743e2ea17b/contourpy-1.3.3-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:92d9abc807cf7d0e047b95ca5d957cf4792fcd04e920ca70d48add15c1a90ea7", size = 332653, upload-time = "2025-07-26T12:01:24.155Z" },
+    { url = "https://files.pythonhosted.org/packages/63/12/897aeebfb475b7748ea67b61e045accdfcf0d971f8a588b67108ed7f5512/contourpy-1.3.3-cp312-cp312-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b2e8faa0ed68cb29af51edd8e24798bb661eac3bd9f65420c1887b6ca89987c8", size = 379536, upload-time = "2025-07-26T12:01:25.91Z" },
+    { url = "https://files.pythonhosted.org/packages/43/8a/a8c584b82deb248930ce069e71576fc09bd7174bbd35183b7943fb1064fd/contourpy-1.3.3-cp312-cp312-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:626d60935cf668e70a5ce6ff184fd713e9683fb458898e4249b63be9e28286ea", size = 384397, upload-time = "2025-07-26T12:01:27.152Z" },
+    { url = "https://files.pythonhosted.org/packages/cc/8f/ec6289987824b29529d0dfda0d74a07cec60e54b9c92f3c9da4c0ac732de/contourpy-1.3.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4d00e655fcef08aba35ec9610536bfe90267d7ab5ba944f7032549c55a146da1", size = 362601, upload-time = "2025-07-26T12:01:28.808Z" },
+    { url = "https://files.pythonhosted.org/packages/05/0a/a3fe3be3ee2dceb3e615ebb4df97ae6f3828aa915d3e10549ce016302bd1/contourpy-1.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:451e71b5a7d597379ef572de31eeb909a87246974d960049a9848c3bc6c41bf7", size = 1331288, upload-time = "2025-07-26T12:01:31.198Z" },
+    { url = "https://files.pythonhosted.org/packages/33/1d/acad9bd4e97f13f3e2b18a3977fe1b4a37ecf3d38d815333980c6c72e963/contourpy-1.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:459c1f020cd59fcfe6650180678a9993932d80d44ccde1fa1868977438f0b411", size = 1403386, upload-time = "2025-07-26T12:01:33.947Z" },
+    { url = "https://files.pythonhosted.org/packages/cf/8f/5847f44a7fddf859704217a99a23a4f6417b10e5ab1256a179264561540e/contourpy-1.3.3-cp312-cp312-win32.whl", hash = "sha256:023b44101dfe49d7d53932be418477dba359649246075c996866106da069af69", size = 185018, upload-time = "2025-07-26T12:01:35.64Z" },
+    { url = "https://files.pythonhosted.org/packages/19/e8/6026ed58a64563186a9ee3f29f41261fd1828f527dd93d33b60feca63352/contourpy-1.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:8153b8bfc11e1e4d75bcb0bff1db232f9e10b274e0929de9d608027e0d34ff8b", size = 226567, upload-time = "2025-07-26T12:01:36.804Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/e2/f05240d2c39a1ed228d8328a78b6f44cd695f7ef47beb3e684cf93604f86/contourpy-1.3.3-cp312-cp312-win_arm64.whl", hash = "sha256:07ce5ed73ecdc4a03ffe3e1b3e3c1166db35ae7584be76f65dbbe28a7791b0cc", size = 193655, upload-time = "2025-07-26T12:01:37.999Z" },
+    { url = "https://files.pythonhosted.org/packages/68/35/0167aad910bbdb9599272bd96d01a9ec6852f36b9455cf2ca67bd4cc2d23/contourpy-1.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:177fb367556747a686509d6fef71d221a4b198a3905fe824430e5ea0fda54eb5", size = 293257, upload-time = "2025-07-26T12:01:39.367Z" },
+    { url = "https://files.pythonhosted.org/packages/96/e4/7adcd9c8362745b2210728f209bfbcf7d91ba868a2c5f40d8b58f54c509b/contourpy-1.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d002b6f00d73d69333dac9d0b8d5e84d9724ff9ef044fd63c5986e62b7c9e1b1", size = 274034, upload-time = "2025-07-26T12:01:40.645Z" },
+    { url = "https://files.pythonhosted.org/packages/73/23/90e31ceeed1de63058a02cb04b12f2de4b40e3bef5e082a7c18d9c8ae281/contourpy-1.3.3-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:348ac1f5d4f1d66d3322420f01d42e43122f43616e0f194fc1c9f5d830c5b286", size = 334672, upload-time = "2025-07-26T12:01:41.942Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/93/b43d8acbe67392e659e1d984700e79eb67e2acb2bd7f62012b583a7f1b55/contourpy-1.3.3-cp313-cp313-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:655456777ff65c2c548b7c454af9c6f33f16c8884f11083244b5819cc214f1b5", size = 381234, upload-time = "2025-07-26T12:01:43.499Z" },
+    { url = "https://files.pythonhosted.org/packages/46/3b/bec82a3ea06f66711520f75a40c8fc0b113b2a75edb36aa633eb11c4f50f/contourpy-1.3.3-cp313-cp313-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:644a6853d15b2512d67881586bd03f462c7ab755db95f16f14d7e238f2852c67", size = 385169, upload-time = "2025-07-26T12:01:45.219Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/32/e0f13a1c5b0f8572d0ec6ae2f6c677b7991fafd95da523159c19eff0696a/contourpy-1.3.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4debd64f124ca62069f313a9cb86656ff087786016d76927ae2cf37846b006c9", size = 362859, upload-time = "2025-07-26T12:01:46.519Z" },
+    { url = "https://files.pythonhosted.org/packages/33/71/e2a7945b7de4e58af42d708a219f3b2f4cff7386e6b6ab0a0fa0033c49a9/contourpy-1.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a15459b0f4615b00bbd1e91f1b9e19b7e63aea7483d03d804186f278c0af2659", size = 1332062, upload-time = "2025-07-26T12:01:48.964Z" },
+    { url = "https://files.pythonhosted.org/packages/12/fc/4e87ac754220ccc0e807284f88e943d6d43b43843614f0a8afa469801db0/contourpy-1.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ca0fdcd73925568ca027e0b17ab07aad764be4706d0a925b89227e447d9737b7", size = 1403932, upload-time = "2025-07-26T12:01:51.979Z" },
+    { url = "https://files.pythonhosted.org/packages/a6/2e/adc197a37443f934594112222ac1aa7dc9a98faf9c3842884df9a9d8751d/contourpy-1.3.3-cp313-cp313-win32.whl", hash = "sha256:b20c7c9a3bf701366556e1b1984ed2d0cedf999903c51311417cf5f591d8c78d", size = 185024, upload-time = "2025-07-26T12:01:53.245Z" },
+    { url = "https://files.pythonhosted.org/packages/18/0b/0098c214843213759692cc638fce7de5c289200a830e5035d1791d7a2338/contourpy-1.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:1cadd8b8969f060ba45ed7c1b714fe69185812ab43bd6b86a9123fe8f99c3263", size = 226578, upload-time = "2025-07-26T12:01:54.422Z" },
+    { url = "https://files.pythonhosted.org/packages/8a/9a/2f6024a0c5995243cd63afdeb3651c984f0d2bc727fd98066d40e141ad73/contourpy-1.3.3-cp313-cp313-win_arm64.whl", hash = "sha256:fd914713266421b7536de2bfa8181aa8c699432b6763a0ea64195ebe28bff6a9", size = 193524, upload-time = "2025-07-26T12:01:55.73Z" },
+    { url = "https://files.pythonhosted.org/packages/c0/b3/f8a1a86bd3298513f500e5b1f5fd92b69896449f6cab6a146a5d52715479/contourpy-1.3.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:88df9880d507169449d434c293467418b9f6cbe82edd19284aa0409e7fdb933d", size = 306730, upload-time = "2025-07-26T12:01:57.051Z" },
+    { url = "https://files.pythonhosted.org/packages/3f/11/4780db94ae62fc0c2053909b65dc3246bd7cecfc4f8a20d957ad43aa4ad8/contourpy-1.3.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:d06bb1f751ba5d417047db62bca3c8fde202b8c11fb50742ab3ab962c81e8216", size = 287897, upload-time = "2025-07-26T12:01:58.663Z" },
+    { url = "https://files.pythonhosted.org/packages/ae/15/e59f5f3ffdd6f3d4daa3e47114c53daabcb18574a26c21f03dc9e4e42ff0/contourpy-1.3.3-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e4e6b05a45525357e382909a4c1600444e2a45b4795163d3b22669285591c1ae", size = 326751, upload-time = "2025-07-26T12:02:00.343Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/81/03b45cfad088e4770b1dcf72ea78d3802d04200009fb364d18a493857210/contourpy-1.3.3-cp313-cp313t-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ab3074b48c4e2cf1a960e6bbeb7f04566bf36b1861d5c9d4d8ac04b82e38ba20", size = 375486, upload-time = "2025-07-26T12:02:02.128Z" },
+    { url = "https://files.pythonhosted.org/packages/0c/ba/49923366492ffbdd4486e970d421b289a670ae8cf539c1ea9a09822b371a/contourpy-1.3.3-cp313-cp313t-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:6c3d53c796f8647d6deb1abe867daeb66dcc8a97e8455efa729516b997b8ed99", size = 388106, upload-time = "2025-07-26T12:02:03.615Z" },
+    { url = "https://files.pythonhosted.org/packages/9f/52/5b00ea89525f8f143651f9f03a0df371d3cbd2fccd21ca9b768c7a6500c2/contourpy-1.3.3-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:50ed930df7289ff2a8d7afeb9603f8289e5704755c7e5c3bbd929c90c817164b", size = 352548, upload-time = "2025-07-26T12:02:05.165Z" },
+    { url = "https://files.pythonhosted.org/packages/32/1d/a209ec1a3a3452d490f6b14dd92e72280c99ae3d1e73da74f8277d4ee08f/contourpy-1.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:4feffb6537d64b84877da813a5c30f1422ea5739566abf0bd18065ac040e120a", size = 1322297, upload-time = "2025-07-26T12:02:07.379Z" },
+    { url = "https://files.pythonhosted.org/packages/bc/9e/46f0e8ebdd884ca0e8877e46a3f4e633f6c9c8c4f3f6e72be3fe075994aa/contourpy-1.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:2b7e9480ffe2b0cd2e787e4df64270e3a0440d9db8dc823312e2c940c167df7e", size = 1391023, upload-time = "2025-07-26T12:02:10.171Z" },
+    { url = "https://files.pythonhosted.org/packages/b9/70/f308384a3ae9cd2209e0849f33c913f658d3326900d0ff5d378d6a1422d2/contourpy-1.3.3-cp313-cp313t-win32.whl", hash = "sha256:283edd842a01e3dcd435b1c5116798d661378d83d36d337b8dde1d16a5fc9ba3", size = 196157, upload-time = "2025-07-26T12:02:11.488Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/dd/880f890a6663b84d9e34a6f88cded89d78f0091e0045a284427cb6b18521/contourpy-1.3.3-cp313-cp313t-win_amd64.whl", hash = "sha256:87acf5963fc2b34825e5b6b048f40e3635dd547f590b04d2ab317c2619ef7ae8", size = 240570, upload-time = "2025-07-26T12:02:12.754Z" },
+    { url = "https://files.pythonhosted.org/packages/80/99/2adc7d8ffead633234817ef8e9a87115c8a11927a94478f6bb3d3f4d4f7d/contourpy-1.3.3-cp313-cp313t-win_arm64.whl", hash = "sha256:3c30273eb2a55024ff31ba7d052dde990d7d8e5450f4bbb6e913558b3d6c2301", size = 199713, upload-time = "2025-07-26T12:02:14.4Z" },
+    { url = "https://files.pythonhosted.org/packages/72/8b/4546f3ab60f78c514ffb7d01a0bd743f90de36f0019d1be84d0a708a580a/contourpy-1.3.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fde6c716d51c04b1c25d0b90364d0be954624a0ee9d60e23e850e8d48353d07a", size = 292189, upload-time = "2025-07-26T12:02:16.095Z" },
+    { url = "https://files.pythonhosted.org/packages/fd/e1/3542a9cb596cadd76fcef413f19c79216e002623158befe6daa03dbfa88c/contourpy-1.3.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:cbedb772ed74ff5be440fa8eee9bd49f64f6e3fc09436d9c7d8f1c287b121d77", size = 273251, upload-time = "2025-07-26T12:02:17.524Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/71/f93e1e9471d189f79d0ce2497007731c1e6bf9ef6d1d61b911430c3db4e5/contourpy-1.3.3-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:22e9b1bd7a9b1d652cd77388465dc358dafcd2e217d35552424aa4f996f524f5", size = 335810, upload-time = "2025-07-26T12:02:18.9Z" },
+    { url = "https://files.pythonhosted.org/packages/91/f9/e35f4c1c93f9275d4e38681a80506b5510e9327350c51f8d4a5a724d178c/contourpy-1.3.3-cp314-cp314-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a22738912262aa3e254e4f3cb079a95a67132fc5a063890e224393596902f5a4", size = 382871, upload-time = "2025-07-26T12:02:20.418Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/71/47b512f936f66a0a900d81c396a7e60d73419868fba959c61efed7a8ab46/contourpy-1.3.3-cp314-cp314-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:afe5a512f31ee6bd7d0dda52ec9864c984ca3d66664444f2d72e0dc4eb832e36", size = 386264, upload-time = "2025-07-26T12:02:21.916Z" },
+    { url = "https://files.pythonhosted.org/packages/04/5f/9ff93450ba96b09c7c2b3f81c94de31c89f92292f1380261bd7195bea4ea/contourpy-1.3.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f64836de09927cba6f79dcd00fdd7d5329f3fccc633468507079c829ca4db4e3", size = 363819, upload-time = "2025-07-26T12:02:23.759Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/a6/0b185d4cc480ee494945cde102cb0149ae830b5fa17bf855b95f2e70ad13/contourpy-1.3.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:1fd43c3be4c8e5fd6e4f2baeae35ae18176cf2e5cced681cca908addf1cdd53b", size = 1333650, upload-time = "2025-07-26T12:02:26.181Z" },
+    { url = "https://files.pythonhosted.org/packages/43/d7/afdc95580ca56f30fbcd3060250f66cedbde69b4547028863abd8aa3b47e/contourpy-1.3.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6afc576f7b33cf00996e5c1102dc2a8f7cc89e39c0b55df93a0b78c1bd992b36", size = 1404833, upload-time = "2025-07-26T12:02:28.782Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/e2/366af18a6d386f41132a48f033cbd2102e9b0cf6345d35ff0826cd984566/contourpy-1.3.3-cp314-cp314-win32.whl", hash = "sha256:66c8a43a4f7b8df8b71ee1840e4211a3c8d93b214b213f590e18a1beca458f7d", size = 189692, upload-time = "2025-07-26T12:02:30.128Z" },
+    { url = "https://files.pythonhosted.org/packages/7d/c2/57f54b03d0f22d4044b8afb9ca0e184f8b1afd57b4f735c2fa70883dc601/contourpy-1.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:cf9022ef053f2694e31d630feaacb21ea24224be1c3ad0520b13d844274614fd", size = 232424, upload-time = "2025-07-26T12:02:31.395Z" },
+    { url = "https://files.pythonhosted.org/packages/18/79/a9416650df9b525737ab521aa181ccc42d56016d2123ddcb7b58e926a42c/contourpy-1.3.3-cp314-cp314-win_arm64.whl", hash = "sha256:95b181891b4c71de4bb404c6621e7e2390745f887f2a026b2d99e92c17892339", size = 198300, upload-time = "2025-07-26T12:02:32.956Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/42/38c159a7d0f2b7b9c04c64ab317042bb6952b713ba875c1681529a2932fe/contourpy-1.3.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:33c82d0138c0a062380332c861387650c82e4cf1747aaa6938b9b6516762e772", size = 306769, upload-time = "2025-07-26T12:02:34.2Z" },
+    { url = "https://files.pythonhosted.org/packages/c3/6c/26a8205f24bca10974e77460de68d3d7c63e282e23782f1239f226fcae6f/contourpy-1.3.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:ea37e7b45949df430fe649e5de8351c423430046a2af20b1c1961cae3afcda77", size = 287892, upload-time = "2025-07-26T12:02:35.807Z" },
+    { url = "https://files.pythonhosted.org/packages/66/06/8a475c8ab718ebfd7925661747dbb3c3ee9c82ac834ccb3570be49d129f4/contourpy-1.3.3-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d304906ecc71672e9c89e87c4675dc5c2645e1f4269a5063b99b0bb29f232d13", size = 326748, upload-time = "2025-07-26T12:02:37.193Z" },
+    { url = "https://files.pythonhosted.org/packages/b4/a3/c5ca9f010a44c223f098fccd8b158bb1cb287378a31ac141f04730dc49be/contourpy-1.3.3-cp314-cp314t-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ca658cd1a680a5c9ea96dc61cdbae1e85c8f25849843aa799dfd3cb370ad4fbe", size = 375554, upload-time = "2025-07-26T12:02:38.894Z" },
+    { url = "https://files.pythonhosted.org/packages/80/5b/68bd33ae63fac658a4145088c1e894405e07584a316738710b636c6d0333/contourpy-1.3.3-cp314-cp314t-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:ab2fd90904c503739a75b7c8c5c01160130ba67944a7b77bbf36ef8054576e7f", size = 388118, upload-time = "2025-07-26T12:02:40.642Z" },
+    { url = "https://files.pythonhosted.org/packages/40/52/4c285a6435940ae25d7410a6c36bda5145839bc3f0beb20c707cda18b9d2/contourpy-1.3.3-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b7301b89040075c30e5768810bc96a8e8d78085b47d8be6e4c3f5a0b4ed478a0", size = 352555, upload-time = "2025-07-26T12:02:42.25Z" },
+    { url = "https://files.pythonhosted.org/packages/24/ee/3e81e1dd174f5c7fefe50e85d0892de05ca4e26ef1c9a59c2a57e43b865a/contourpy-1.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:2a2a8b627d5cc6b7c41a4beff6c5ad5eb848c88255fda4a8745f7e901b32d8e4", size = 1322295, upload-time = "2025-07-26T12:02:44.668Z" },
+    { url = "https://files.pythonhosted.org/packages/3c/b2/6d913d4d04e14379de429057cd169e5e00f6c2af3bb13e1710bcbdb5da12/contourpy-1.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:fd6ec6be509c787f1caf6b247f0b1ca598bef13f4ddeaa126b7658215529ba0f", size = 1391027, upload-time = "2025-07-26T12:02:47.09Z" },
+    { url = "https://files.pythonhosted.org/packages/93/8a/68a4ec5c55a2971213d29a9374913f7e9f18581945a7a31d1a39b5d2dfe5/contourpy-1.3.3-cp314-cp314t-win32.whl", hash = "sha256:e74a9a0f5e3fff48fb5a7f2fd2b9b70a3fe014a67522f79b7cca4c0c7e43c9ae", size = 202428, upload-time = "2025-07-26T12:02:48.691Z" },
+    { url = "https://files.pythonhosted.org/packages/fa/96/fd9f641ffedc4fa3ace923af73b9d07e869496c9cc7a459103e6e978992f/contourpy-1.3.3-cp314-cp314t-win_amd64.whl", hash = "sha256:13b68d6a62db8eafaebb8039218921399baf6e47bf85006fd8529f2a08ef33fc", size = 250331, upload-time = "2025-07-26T12:02:50.137Z" },
+    { url = "https://files.pythonhosted.org/packages/ae/8c/469afb6465b853afff216f9528ffda78a915ff880ed58813ba4faf4ba0b6/contourpy-1.3.3-cp314-cp314t-win_arm64.whl", hash = "sha256:b7448cb5a725bb1e35ce88771b86fba35ef418952474492cf7c764059933ff8b", size = 203831, upload-time = "2025-07-26T12:02:51.449Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/29/8dcfe16f0107943fa92388c23f6e05cff0ba58058c4c95b00280d4c75a14/contourpy-1.3.3-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:cd5dfcaeb10f7b7f9dc8941717c6c2ade08f587be2226222c12b25f0483ed497", size = 278809, upload-time = "2025-07-26T12:02:52.74Z" },
+    { url = "https://files.pythonhosted.org/packages/85/a9/8b37ef4f7dafeb335daee3c8254645ef5725be4d9c6aa70b50ec46ef2f7e/contourpy-1.3.3-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:0c1fc238306b35f246d61a1d416a627348b5cf0648648a031e14bb8705fcdfe8", size = 261593, upload-time = "2025-07-26T12:02:54.037Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/59/ebfb8c677c75605cc27f7122c90313fd2f375ff3c8d19a1694bda74aaa63/contourpy-1.3.3-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:70f9aad7de812d6541d29d2bbf8feb22ff7e1c299523db288004e3157ff4674e", size = 302202, upload-time = "2025-07-26T12:02:55.947Z" },
+    { url = "https://files.pythonhosted.org/packages/3c/37/21972a15834d90bfbfb009b9d004779bd5a07a0ec0234e5ba8f64d5736f4/contourpy-1.3.3-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5ed3657edf08512fc3fe81b510e35c2012fbd3081d2e26160f27ca28affec989", size = 329207, upload-time = "2025-07-26T12:02:57.468Z" },
+    { url = "https://files.pythonhosted.org/packages/0c/58/bd257695f39d05594ca4ad60df5bcb7e32247f9951fd09a9b8edb82d1daa/contourpy-1.3.3-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:3d1a3799d62d45c18bafd41c5fa05120b96a28079f2393af559b843d1a966a77", size = 225315, upload-time = "2025-07-26T12:02:58.801Z" },
+]
+
+[[package]]
+name = "cuda-bindings"
+version = "12.9.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cuda-pathfinder", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
+]
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/45/e7/b47792cc2d01c7e1d37c32402182524774dadd2d26339bd224e0e913832e/cuda_bindings-12.9.4-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c912a3d9e6b6651853eed8eed96d6800d69c08e94052c292fec3f282c5a817c9", size = 12210593, upload-time = "2025-10-21T14:51:36.574Z" },
+    { url = "https://files.pythonhosted.org/packages/a9/c1/dabe88f52c3e3760d861401bb994df08f672ec893b8f7592dc91626adcf3/cuda_bindings-12.9.4-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fda147a344e8eaeca0c6ff113d2851ffca8f7dfc0a6c932374ee5c47caa649c8", size = 12151019, upload-time = "2025-10-21T14:51:43.167Z" },
+    { url = "https://files.pythonhosted.org/packages/63/56/e465c31dc9111be3441a9ba7df1941fe98f4aa6e71e8788a3fb4534ce24d/cuda_bindings-12.9.4-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:32bdc5a76906be4c61eb98f546a6786c5773a881f3b166486449b5d141e4a39f", size = 11906628, upload-time = "2025-10-21T14:51:49.905Z" },
+    { url = "https://files.pythonhosted.org/packages/a3/84/1e6be415e37478070aeeee5884c2022713c1ecc735e6d82d744de0252eee/cuda_bindings-12.9.4-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:56e0043c457a99ac473ddc926fe0dc4046694d99caef633e92601ab52cbe17eb", size = 11925991, upload-time = "2025-10-21T14:51:56.535Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/af/6dfd8f2ed90b1d4719bc053ff8940e494640fe4212dc3dd72f383e4992da/cuda_bindings-12.9.4-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8b72ee72a9cc1b531db31eebaaee5c69a8ec3500e32c6933f2d3b15297b53686", size = 11922703, upload-time = "2025-10-21T14:52:03.585Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/19/90ac264acc00f6df8a49378eedec9fd2db3061bf9263bf9f39fd3d8377c3/cuda_bindings-12.9.4-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d80bffc357df9988dca279734bc9674c3934a654cab10cadeed27ce17d8635ee", size = 11924658, upload-time = "2025-10-21T14:52:10.411Z" },
+]
+
+[[package]]
+name = "cuda-pathfinder"
+version = "1.4.3"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c0/59/911a1a597264f1fb7ac176995a0f0b6062e37f8c1b6e0f23071a76838507/cuda_pathfinder-1.4.3-py3-none-any.whl", hash = "sha256:4345d8ead1f701c4fb8a99be6bc1843a7348b6ba0ef3b031f5a2d66fb128ae4c", size = 47951, upload-time = "2026-03-16T21:31:25.526Z" },
+]
+
+[[package]]
+name = "cycler"
+version = "0.12.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/a9/95/a3dbbb5028f35eafb79008e7522a75244477d2838f38cbb722248dabc2a8/cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c", size = 7615, upload-time = "2023-10-07T05:32:18.335Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30", size = 8321, upload-time = "2023-10-07T05:32:16.783Z" },
+]
+
+[[package]]
+name = "debugpy"
+version = "1.8.20"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e0/b7/cd8080344452e4874aae67c40d8940e2b4d47b01601a8fd9f44786c757c7/debugpy-1.8.20.tar.gz", hash = "sha256:55bc8701714969f1ab89a6d5f2f3d40c36f91b2cbe2f65d98bf8196f6a6a2c33", size = 1645207, upload-time = "2026-01-29T23:03:28.199Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/51/56/c3baf5cbe4dd77427fd9aef99fcdade259ad128feeb8a786c246adb838e5/debugpy-1.8.20-cp311-cp311-macosx_15_0_universal2.whl", hash = "sha256:eada6042ad88fa1571b74bd5402ee8b86eded7a8f7b827849761700aff171f1b", size = 2208318, upload-time = "2026-01-29T23:03:36.481Z" },
+    { url = "https://files.pythonhosted.org/packages/9a/7d/4fa79a57a8e69fe0d9763e98d1110320f9ecd7f1f362572e3aafd7417c9d/debugpy-1.8.20-cp311-cp311-manylinux_2_34_x86_64.whl", hash = "sha256:7de0b7dfeedc504421032afba845ae2a7bcc32ddfb07dae2c3ca5442f821c344", size = 3171493, upload-time = "2026-01-29T23:03:37.775Z" },
+    { url = "https://files.pythonhosted.org/packages/7d/f2/1e8f8affe51e12a26f3a8a8a4277d6e60aa89d0a66512f63b1e799d424a4/debugpy-1.8.20-cp311-cp311-win32.whl", hash = "sha256:773e839380cf459caf73cc533ea45ec2737a5cc184cf1b3b796cd4fd98504fec", size = 5209240, upload-time = "2026-01-29T23:03:39.109Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/92/1cb532e88560cbee973396254b21bece8c5d7c2ece958a67afa08c9f10dc/debugpy-1.8.20-cp311-cp311-win_amd64.whl", hash = "sha256:1f7650546e0eded1902d0f6af28f787fa1f1dbdbc97ddabaf1cd963a405930cb", size = 5233481, upload-time = "2026-01-29T23:03:40.659Z" },
+    { url = "https://files.pythonhosted.org/packages/14/57/7f34f4736bfb6e00f2e4c96351b07805d83c9a7b33d28580ae01374430f7/debugpy-1.8.20-cp312-cp312-macosx_15_0_universal2.whl", hash = "sha256:4ae3135e2089905a916909ef31922b2d733d756f66d87345b3e5e52b7a55f13d", size = 2550686, upload-time = "2026-01-29T23:03:42.023Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/78/b193a3975ca34458f6f0e24aaf5c3e3da72f5401f6054c0dfd004b41726f/debugpy-1.8.20-cp312-cp312-manylinux_2_34_x86_64.whl", hash = "sha256:88f47850a4284b88bd2bfee1f26132147d5d504e4e86c22485dfa44b97e19b4b", size = 4310588, upload-time = "2026-01-29T23:03:43.314Z" },
+    { url = "https://files.pythonhosted.org/packages/c1/55/f14deb95eaf4f30f07ef4b90a8590fc05d9e04df85ee379712f6fb6736d7/debugpy-1.8.20-cp312-cp312-win32.whl", hash = "sha256:4057ac68f892064e5f98209ab582abfee3b543fb55d2e87610ddc133a954d390", size = 5331372, upload-time = "2026-01-29T23:03:45.526Z" },
+    { url = "https://files.pythonhosted.org/packages/a1/39/2bef246368bd42f9bd7cba99844542b74b84dacbdbea0833e610f384fee8/debugpy-1.8.20-cp312-cp312-win_amd64.whl", hash = "sha256:a1a8f851e7cf171330679ef6997e9c579ef6dd33c9098458bd9986a0f4ca52e3", size = 5372835, upload-time = "2026-01-29T23:03:47.245Z" },
+    { url = "https://files.pythonhosted.org/packages/15/e2/fc500524cc6f104a9d049abc85a0a8b3f0d14c0a39b9c140511c61e5b40b/debugpy-1.8.20-cp313-cp313-macosx_15_0_universal2.whl", hash = "sha256:5dff4bb27027821fdfcc9e8f87309a28988231165147c31730128b1c983e282a", size = 2539560, upload-time = "2026-01-29T23:03:48.738Z" },
+    { url = "https://files.pythonhosted.org/packages/90/83/fb33dcea789ed6018f8da20c5a9bc9d82adc65c0c990faed43f7c955da46/debugpy-1.8.20-cp313-cp313-manylinux_2_34_x86_64.whl", hash = "sha256:84562982dd7cf5ebebfdea667ca20a064e096099997b175fe204e86817f64eaf", size = 4293272, upload-time = "2026-01-29T23:03:50.169Z" },
+    { url = "https://files.pythonhosted.org/packages/a6/25/b1e4a01bfb824d79a6af24b99ef291e24189080c93576dfd9b1a2815cd0f/debugpy-1.8.20-cp313-cp313-win32.whl", hash = "sha256:da11dea6447b2cadbf8ce2bec59ecea87cc18d2c574980f643f2d2dfe4862393", size = 5331208, upload-time = "2026-01-29T23:03:51.547Z" },
+    { url = "https://files.pythonhosted.org/packages/13/f7/a0b368ce54ffff9e9028c098bd2d28cfc5b54f9f6c186929083d4c60ba58/debugpy-1.8.20-cp313-cp313-win_amd64.whl", hash = "sha256:eb506e45943cab2efb7c6eafdd65b842f3ae779f020c82221f55aca9de135ed7", size = 5372930, upload-time = "2026-01-29T23:03:53.585Z" },
+    { url = "https://files.pythonhosted.org/packages/33/2e/f6cb9a8a13f5058f0a20fe09711a7b726232cd5a78c6a7c05b2ec726cff9/debugpy-1.8.20-cp314-cp314-macosx_15_0_universal2.whl", hash = "sha256:9c74df62fc064cd5e5eaca1353a3ef5a5d50da5eb8058fcef63106f7bebe6173", size = 2538066, upload-time = "2026-01-29T23:03:54.999Z" },
+    { url = "https://files.pythonhosted.org/packages/c5/56/6ddca50b53624e1ca3ce1d1e49ff22db46c47ea5fb4c0cc5c9b90a616364/debugpy-1.8.20-cp314-cp314-manylinux_2_34_x86_64.whl", hash = "sha256:077a7447589ee9bc1ff0cdf443566d0ecf540ac8aa7333b775ebcb8ce9f4ecad", size = 4269425, upload-time = "2026-01-29T23:03:56.518Z" },
+    { url = "https://files.pythonhosted.org/packages/c5/d9/d64199c14a0d4c476df46c82470a3ce45c8d183a6796cfb5e66533b3663c/debugpy-1.8.20-cp314-cp314-win32.whl", hash = "sha256:352036a99dd35053b37b7803f748efc456076f929c6a895556932eaf2d23b07f", size = 5331407, upload-time = "2026-01-29T23:03:58.481Z" },
+    { url = "https://files.pythonhosted.org/packages/e0/d9/1f07395b54413432624d61524dfd98c1a7c7827d2abfdb8829ac92638205/debugpy-1.8.20-cp314-cp314-win_amd64.whl", hash = "sha256:a98eec61135465b062846112e5ecf2eebb855305acc1dfbae43b72903b8ab5be", size = 5372521, upload-time = "2026-01-29T23:03:59.864Z" },
+    { url = "https://files.pythonhosted.org/packages/e0/c3/7f67dea8ccf8fdcb9c99033bbe3e90b9e7395415843accb81428c441be2d/debugpy-1.8.20-py2.py3-none-any.whl", hash = "sha256:5be9bed9ae3be00665a06acaa48f8329d2b9632f15fd09f6a9a8c8d9907e54d7", size = 5337658, upload-time = "2026-01-29T23:04:17.404Z" },
+]
+
+[[package]]
+name = "decorator"
+version = "5.2.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/43/fa/6d96a0978d19e17b68d634497769987b16c8f4cd0a7a05048bec693caa6b/decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360", size = 56711, upload-time = "2025-02-24T04:41:34.073Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/4e/8c/f3147f5c4b73e7550fe5f9352eaa956ae838d5c51eb58e7a25b9f3e2643b/decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a", size = 9190, upload-time = "2025-02-24T04:41:32.565Z" },
+]
+
+[[package]]
+name = "defusedxml"
+version = "0.7.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/0f/d5/c66da9b79e5bdb124974bfe172b4daf3c984ebd9c2a06e2b8a4dc7331c72/defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69", size = 75520, upload-time = "2021-03-08T10:59:26.269Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/07/6c/aa3f2f849e01cb6a001cd8554a88d4c77c5c1a31c95bdf1cf9301e6d9ef4/defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61", size = 25604, upload-time = "2021-03-08T10:59:24.45Z" },
+]
+
+[[package]]
+name = "dill"
+version = "0.4.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/81/e1/56027a71e31b02ddc53c7d65b01e68edf64dea2932122fe7746a516f75d5/dill-0.4.1.tar.gz", hash = "sha256:423092df4182177d4d8ba8290c8a5b640c66ab35ec7da59ccfa00f6fa3eea5fa", size = 187315, upload-time = "2026-01-19T02:36:56.85Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1e/77/dc8c558f7593132cf8fefec57c4f60c83b16941c574ac5f619abb3ae7933/dill-0.4.1-py3-none-any.whl", hash = "sha256:1e1ce33e978ae97fcfcff5638477032b801c46c7c65cf717f95fbc2248f79a9d", size = 120019, upload-time = "2026-01-19T02:36:55.663Z" },
+]
+
+[[package]]
+name = "docopt"
+version = "0.6.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/a2/55/8f8cab2afd404cf578136ef2cc5dfb50baa1761b68c9da1fb1e4eed343c9/docopt-0.6.2.tar.gz", hash = "sha256:49b3a825280bd66b3aa83585ef59c4a8c82f2c8a522dbe754a8bc8d08c85c491", size = 25901, upload-time = "2014-06-16T11:18:57.406Z" }
+
+[[package]]
+name = "doit"
+version = "0.37.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/35/f6/3a817d438799bda4d4e5fd136175cf7c328c074fadc1422dec3b374907e7/doit-0.37.0.tar.gz", hash = "sha256:d3c72e0e46a8fa1ddabea8f830762402dee090caf33c30c2295ac7010db8f09c", size = 1450967, upload-time = "2026-02-09T07:02:15.578Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/9c/38/3d6dcbf8379cb86d71a2325210ca3469a33767d8254b74d8c343db26ce87/doit-0.37.0-py3-none-any.whl", hash = "sha256:a9f181566aa90faac515e276f85e6526019554ed7e13c12cf9dc094ffecf3e1b", size = 85780, upload-time = "2026-02-09T07:02:10.155Z" },
+]
+
+[[package]]
+name = "executing"
+version = "2.2.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/cc/28/c14e053b6762b1044f34a13aab6859bbf40456d37d23aa286ac24cfd9a5d/executing-2.2.1.tar.gz", hash = "sha256:3632cc370565f6648cc328b32435bd120a1e4ebb20c77e3fdde9a13cd1e533c4", size = 1129488, upload-time = "2025-09-01T09:48:10.866Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c1/ea/53f2148663b321f21b5a606bd5f191517cf40b7072c0497d3c92c4a13b1e/executing-2.2.1-py2.py3-none-any.whl", hash = "sha256:760643d3452b4d777d295bb167ccc74c64a81df23fb5e08eff250c425a4b2017", size = 28317, upload-time = "2025-09-01T09:48:08.5Z" },
+]
+
+[[package]]
+name = "fastjsonschema"
+version = "2.21.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/b5/23b216d9d985a956623b6bd12d4086b60f0059b27799f23016af04a74ea1/fastjsonschema-2.21.2.tar.gz", hash = "sha256:b1eb43748041c880796cd077f1a07c3d94e93ae84bba5ed36800a33554ae05de", size = 374130, upload-time = "2025-08-14T18:49:36.666Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/cb/a8/20d0723294217e47de6d9e2e40fd4a9d2f7c4b6ef974babd482a59743694/fastjsonschema-2.21.2-py3-none-any.whl", hash = "sha256:1c797122d0a86c5cace2e54bf4e819c36223b552017172f32c5c024a6b77e463", size = 24024, upload-time = "2025-08-14T18:49:34.776Z" },
+]
+
+[[package]]
+name = "filelock"
+version = "3.25.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/94/b8/00651a0f559862f3bb7d6f7477b192afe3f583cc5e26403b44e59a55ab34/filelock-3.25.2.tar.gz", hash = "sha256:b64ece2b38f4ca29dd3e810287aa8c48182bbecd1ae6e9ae126c9b35f1382694", size = 40480, upload-time = "2026-03-11T20:45:38.487Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a4/a5/842ae8f0c08b61d6484b52f99a03510a3a72d23141942d216ebe81fefbce/filelock-3.25.2-py3-none-any.whl", hash = "sha256:ca8afb0da15f229774c9ad1b455ed96e85a81373065fb10446672f64444ddf70", size = 26759, upload-time = "2026-03-11T20:45:37.437Z" },
+]
+
+[[package]]
+name = "fonttools"
+version = "4.62.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/9a/08/7012b00a9a5874311b639c3920270c36ee0c445b69d9989a85e5c92ebcb0/fonttools-4.62.1.tar.gz", hash = "sha256:e54c75fd6041f1122476776880f7c3c3295ffa31962dc6ebe2543c00dca58b5d", size = 3580737, upload-time = "2026-03-13T13:54:25.52Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/88/39/23ff32561ec8d45a4d48578b4d241369d9270dc50926c017570e60893701/fonttools-4.62.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:40975849bac44fb0b9253d77420c6d8b523ac4dcdcefeff6e4d706838a5b80f7", size = 2871039, upload-time = "2026-03-13T13:52:33.127Z" },
+    { url = "https://files.pythonhosted.org/packages/24/7f/66d3f8a9338a9b67fe6e1739f47e1cd5cee78bd3bc1206ef9b0b982289a5/fonttools-4.62.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9dde91633f77fa576879a0c76b1d89de373cae751a98ddf0109d54e173b40f14", size = 2416346, upload-time = "2026-03-13T13:52:35.676Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/53/5276ceba7bff95da7793a07c5284e1da901cf00341ce5e2f3273056c0cca/fonttools-4.62.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6acb4109f8bee00fec985c8c7afb02299e35e9c94b57287f3ea542f28bd0b0a7", size = 5100897, upload-time = "2026-03-13T13:52:38.102Z" },
+    { url = "https://files.pythonhosted.org/packages/cc/a1/40a5c4d8e28b0851d53a8eeeb46fbd73c325a2a9a165f290a5ed90e6c597/fonttools-4.62.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1c5c25671ce8805e0d080e2ffdeca7f1e86778c5cbfbeae86d7f866d8830517b", size = 5071078, upload-time = "2026-03-13T13:52:41.305Z" },
+    { url = "https://files.pythonhosted.org/packages/e3/be/d378fca4c65ea1956fee6d90ace6e861776809cbbc5af22388a090c3c092/fonttools-4.62.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a5d8825e1140f04e6c99bb7d37a9e31c172f3bc208afbe02175339e699c710e1", size = 5076908, upload-time = "2026-03-13T13:52:44.122Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/d9/ae6a1d0693a4185a84605679c8a1f719a55df87b9c6e8e817bfdd9ef5936/fonttools-4.62.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:268abb1cb221e66c014acc234e872b7870d8b5d4657a83a8f4205094c32d2416", size = 5202275, upload-time = "2026-03-13T13:52:46.591Z" },
+    { url = "https://files.pythonhosted.org/packages/54/6c/af95d9c4efb15cabff22642b608342f2bd67137eea6107202d91b5b03184/fonttools-4.62.1-cp311-cp311-win32.whl", hash = "sha256:942b03094d7edbb99bdf1ae7e9090898cad7bf9030b3d21f33d7072dbcb51a53", size = 2293075, upload-time = "2026-03-13T13:52:48.711Z" },
+    { url = "https://files.pythonhosted.org/packages/d3/97/bf54c5b3f2be34e1f143e6db838dfdc54f2ffa3e68c738934c82f3b2a08d/fonttools-4.62.1-cp311-cp311-win_amd64.whl", hash = "sha256:e8514f4924375f77084e81467e63238b095abda5107620f49421c368a6017ed2", size = 2344593, upload-time = "2026-03-13T13:52:50.725Z" },
+    { url = "https://files.pythonhosted.org/packages/47/d4/dbacced3953544b9a93088cc10ef2b596d348c983d5c67a404fa41ec51ba/fonttools-4.62.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:90365821debbd7db678809c7491ca4acd1e0779b9624cdc6ddaf1f31992bf974", size = 2870219, upload-time = "2026-03-13T13:52:53.664Z" },
+    { url = "https://files.pythonhosted.org/packages/66/9e/a769c8e99b81e5a87ab7e5e7236684de4e96246aae17274e5347d11ebd78/fonttools-4.62.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:12859ff0b47dd20f110804c3e0d0970f7b832f561630cd879969011541a464a9", size = 2414891, upload-time = "2026-03-13T13:52:56.493Z" },
+    { url = "https://files.pythonhosted.org/packages/69/64/f19a9e3911968c37e1e620e14dfc5778299e1474f72f4e57c5ec771d9489/fonttools-4.62.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c125ffa00c3d9003cdaaf7f2c79e6e535628093e14b5de1dccb08859b680936", size = 5033197, upload-time = "2026-03-13T13:52:59.179Z" },
+    { url = "https://files.pythonhosted.org/packages/9b/8a/99c8b3c3888c5c474c08dbfd7c8899786de9604b727fcefb055b42c84bba/fonttools-4.62.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:149f7d84afca659d1a97e39a4778794a2f83bf344c5ee5134e09995086cc2392", size = 4988768, upload-time = "2026-03-13T13:53:02.761Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/c6/0f904540d3e6ab463c1243a0d803504826a11604c72dd58c2949796a1762/fonttools-4.62.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:0aa72c43a601cfa9273bb1ae0518f1acadc01ee181a6fc60cd758d7fdadffc04", size = 4971512, upload-time = "2026-03-13T13:53:05.678Z" },
+    { url = "https://files.pythonhosted.org/packages/29/0b/5cbef6588dc9bd6b5c9ad6a4d5a8ca384d0cea089da31711bbeb4f9654a6/fonttools-4.62.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:19177c8d96c7c36359266e571c5173bcee9157b59cfc8cb0153c5673dc5a3a7d", size = 5122723, upload-time = "2026-03-13T13:53:08.662Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/47/b3a5342d381595ef439adec67848bed561ab7fdb1019fa522e82101b7d9c/fonttools-4.62.1-cp312-cp312-win32.whl", hash = "sha256:a24decd24d60744ee8b4679d38e88b8303d86772053afc29b19d23bb8207803c", size = 2281278, upload-time = "2026-03-13T13:53:10.998Z" },
+    { url = "https://files.pythonhosted.org/packages/28/b1/0c2ab56a16f409c6c8a68816e6af707827ad5d629634691ff60a52879792/fonttools-4.62.1-cp312-cp312-win_amd64.whl", hash = "sha256:9e7863e10b3de72376280b515d35b14f5eeed639d1aa7824f4cf06779ec65e42", size = 2331414, upload-time = "2026-03-13T13:53:13.992Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/56/6f389de21c49555553d6a5aeed5ac9767631497ac836c4f076273d15bd72/fonttools-4.62.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:c22b1014017111c401469e3acc5433e6acf6ebcc6aa9efb538a533c800971c79", size = 2865155, upload-time = "2026-03-13T13:53:16.132Z" },
+    { url = "https://files.pythonhosted.org/packages/03/c5/0e3966edd5ec668d41dfe418787726752bc07e2f5fd8c8f208615e61fa89/fonttools-4.62.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:68959f5fc58ed4599b44aad161c2837477d7f35f5f79402d97439974faebfebe", size = 2412802, upload-time = "2026-03-13T13:53:18.878Z" },
+    { url = "https://files.pythonhosted.org/packages/52/94/e6ac4b44026de7786fe46e3bfa0c87e51d5d70a841054065d49cd62bb909/fonttools-4.62.1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ef46db46c9447103b8f3ff91e8ba009d5fe181b1920a83757a5762551e32bb68", size = 5013926, upload-time = "2026-03-13T13:53:21.379Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/98/8b1e801939839d405f1f122e7d175cebe9aeb4e114f95bfc45e3152af9a7/fonttools-4.62.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6706d1cb1d5e6251a97ad3c1b9347505c5615c112e66047abbef0f8545fa30d1", size = 4964575, upload-time = "2026-03-13T13:53:23.857Z" },
+    { url = "https://files.pythonhosted.org/packages/46/76/7d051671e938b1881670528fec69cc4044315edd71a229c7fd712eaa5119/fonttools-4.62.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:2e7abd2b1e11736f58c1de27819e1955a53267c21732e78243fa2fa2e5c1e069", size = 4953693, upload-time = "2026-03-13T13:53:26.569Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/ae/b41f8628ec0be3c1b934fc12b84f4576a5c646119db4d3bdd76a217c90b5/fonttools-4.62.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:403d28ce06ebfc547fbcb0cb8b7f7cc2f7a2d3e1a67ba9a34b14632df9e080f9", size = 5094920, upload-time = "2026-03-13T13:53:29.329Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/f6/53a1e9469331a23dcc400970a27a4caa3d9f6edbf5baab0260285238b884/fonttools-4.62.1-cp313-cp313-win32.whl", hash = "sha256:93c316e0f5301b2adbe6a5f658634307c096fd5aae60a5b3412e4f3e1728ab24", size = 2279928, upload-time = "2026-03-13T13:53:32.352Z" },
+    { url = "https://files.pythonhosted.org/packages/38/60/35186529de1db3c01f5ad625bde07c1f576305eab6d86bbda4c58445f721/fonttools-4.62.1-cp313-cp313-win_amd64.whl", hash = "sha256:7aa21ff53e28a9c2157acbc44e5b401149d3c9178107130e82d74ceb500e5056", size = 2330514, upload-time = "2026-03-13T13:53:34.991Z" },
+    { url = "https://files.pythonhosted.org/packages/36/f0/2888cdac391807d68d90dcb16ef858ddc1b5309bfc6966195a459dd326e2/fonttools-4.62.1-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:fa1d16210b6b10a826d71bed68dd9ec24a9e218d5a5e2797f37c573e7ec215ca", size = 2864442, upload-time = "2026-03-13T13:53:37.509Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/b2/e521803081f8dc35990816b82da6360fa668a21b44da4b53fc9e77efcd62/fonttools-4.62.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:aa69d10ed420d8121118e628ad47d86e4caa79ba37f968597b958f6cceab7eca", size = 2410901, upload-time = "2026-03-13T13:53:40.55Z" },
+    { url = "https://files.pythonhosted.org/packages/00/a4/8c3511ff06e53110039358dbbdc1a65d72157a054638387aa2ada300a8b8/fonttools-4.62.1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bd13b7999d59c5eb1c2b442eb2d0c427cb517a0b7a1f5798fc5c9e003f5ff782", size = 4999608, upload-time = "2026-03-13T13:53:42.798Z" },
+    { url = "https://files.pythonhosted.org/packages/28/63/cd0c3b26afe60995a5295f37c246a93d454023726c3261cfbb3559969bb9/fonttools-4.62.1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8d337fdd49a79b0d51c4da87bc38169d21c3abbf0c1aa9367eff5c6656fb6dae", size = 4912726, upload-time = "2026-03-13T13:53:45.405Z" },
+    { url = "https://files.pythonhosted.org/packages/70/b9/ac677cb07c24c685cf34f64e140617d58789d67a3dd524164b63648c6114/fonttools-4.62.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:d241cdc4a67b5431c6d7f115fdf63335222414995e3a1df1a41e1182acd4bcc7", size = 4951422, upload-time = "2026-03-13T13:53:48.326Z" },
+    { url = "https://files.pythonhosted.org/packages/e6/10/11c08419a14b85b7ca9a9faca321accccc8842dd9e0b1c8a72908de05945/fonttools-4.62.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:c05557a78f8fa514da0f869556eeda40887a8abc77c76ee3f74cf241778afd5a", size = 5060979, upload-time = "2026-03-13T13:53:51.366Z" },
+    { url = "https://files.pythonhosted.org/packages/4e/3c/12eea4a4cf054e7ab058ed5ceada43b46809fce2bf319017c4d63ae55bb4/fonttools-4.62.1-cp314-cp314-win32.whl", hash = "sha256:49a445d2f544ce4a69338694cad575ba97b9a75fff02720da0882d1a73f12800", size = 2283733, upload-time = "2026-03-13T13:53:53.606Z" },
+    { url = "https://files.pythonhosted.org/packages/6b/67/74b070029043186b5dd13462c958cb7c7f811be0d2e634309d9a1ffb1505/fonttools-4.62.1-cp314-cp314-win_amd64.whl", hash = "sha256:1eecc128c86c552fb963fe846ca4e011b1be053728f798185a1687502f6d398e", size = 2335663, upload-time = "2026-03-13T13:53:56.23Z" },
+    { url = "https://files.pythonhosted.org/packages/42/c5/4d2ed3ca6e33617fc5624467da353337f06e7f637707478903c785bd8e20/fonttools-4.62.1-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:1596aeaddf7f78e21e68293c011316a25267b3effdaccaf4d59bc9159d681b82", size = 2947288, upload-time = "2026-03-13T13:53:59.397Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/e9/7ab11ddfda48ed0f89b13380e5595ba572619c27077be0b2c447a63ff351/fonttools-4.62.1-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:8f8fca95d3bb3208f59626a4b0ea6e526ee51f5a8ad5d91821c165903e8d9260", size = 2449023, upload-time = "2026-03-13T13:54:01.642Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/10/a800fa090b5e8819942e54e19b55fc7c21fe14a08757c3aa3ca8db358939/fonttools-4.62.1-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ee91628c08e76f77b533d65feb3fbe6d9dad699f95be51cf0d022db94089cdc4", size = 5137599, upload-time = "2026-03-13T13:54:04.495Z" },
+    { url = "https://files.pythonhosted.org/packages/37/dc/8ccd45033fffd74deb6912fa1ca524643f584b94c87a16036855b498a1ed/fonttools-4.62.1-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5f37df1cac61d906e7b836abe356bc2f34c99d4477467755c216b72aa3dc748b", size = 4920933, upload-time = "2026-03-13T13:54:07.557Z" },
+    { url = "https://files.pythonhosted.org/packages/99/eb/e618adefb839598d25ac8136cd577925d6c513dc0d931d93b8af956210f0/fonttools-4.62.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:92bb00a947e666169c99b43753c4305fc95a890a60ef3aeb2a6963e07902cc87", size = 5016232, upload-time = "2026-03-13T13:54:10.611Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/5f/9b5c9bfaa8ec82def8d8168c4f13615990d6ce5996fe52bd49bfb5e05134/fonttools-4.62.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:bdfe592802ef939a0e33106ea4a318eeb17822c7ee168c290273cbd5fabd746c", size = 5042987, upload-time = "2026-03-13T13:54:13.569Z" },
+    { url = "https://files.pythonhosted.org/packages/90/aa/dfbbe24c6a6afc5c203d90cc0343e24bcbb09e76d67c4d6eef8c2558d7ba/fonttools-4.62.1-cp314-cp314t-win32.whl", hash = "sha256:b820fcb92d4655513d8402d5b219f94481c4443d825b4372c75a2072aa4b357a", size = 2348021, upload-time = "2026-03-13T13:54:16.98Z" },
+    { url = "https://files.pythonhosted.org/packages/13/6f/ae9c4e4dd417948407b680855c2c7790efb52add6009aaecff1e3bc50e8e/fonttools-4.62.1-cp314-cp314t-win_amd64.whl", hash = "sha256:59b372b4f0e113d3746b88985f1c796e7bf830dd54b28374cd85c2b8acd7583e", size = 2414147, upload-time = "2026-03-13T13:54:19.416Z" },
+    { url = "https://files.pythonhosted.org/packages/fd/ba/56147c165442cc5ba7e82ecf301c9a68353cede498185869e6e02b4c264f/fonttools-4.62.1-py3-none-any.whl", hash = "sha256:7487782e2113861f4ddcc07c3436450659e3caa5e470b27dc2177cade2d8e7fd", size = 1152647, upload-time = "2026-03-13T13:54:22.735Z" },
+]
+
+[[package]]
+name = "fqdn"
+version = "1.5.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/30/3e/a80a8c077fd798951169626cde3e239adeba7dab75deb3555716415bd9b0/fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f", size = 6015, upload-time = "2021-03-11T07:16:29.08Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/cf/58/8acf1b3e91c58313ce5cb67df61001fc9dcd21be4fadb76c1a2d540e09ed/fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014", size = 9121, upload-time = "2021-03-11T07:16:28.351Z" },
+]
+
+[[package]]
+name = "fsspec"
+version = "2026.2.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/51/7c/f60c259dcbf4f0c47cc4ddb8f7720d2dcdc8888c8e5ad84c73ea4531cc5b/fsspec-2026.2.0.tar.gz", hash = "sha256:6544e34b16869f5aacd5b90bdf1a71acb37792ea3ddf6125ee69a22a53fb8bff", size = 313441, upload-time = "2026-02-05T21:50:53.743Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e6/ab/fb21f4c939bb440104cc2b396d3be1d9b7a9fd3c6c2a53d98c45b3d7c954/fsspec-2026.2.0-py3-none-any.whl", hash = "sha256:98de475b5cb3bd66bedd5c4679e87b4fdfe1a3bf4d707b151b3c07e58c9a2437", size = 202505, upload-time = "2026-02-05T21:50:51.819Z" },
+]
+
+[[package]]
+name = "ghp-import"
+version = "2.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "python-dateutil" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/d9/29/d40217cbe2f6b1359e00c6c307bb3fc876ba74068cbab3dde77f03ca0dc4/ghp-import-2.1.0.tar.gz", hash = "sha256:9c535c4c61193c2df8871222567d7fd7e5014d835f97dc7b7439069e2413d343", size = 10943, upload-time = "2022-05-02T15:47:16.11Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f7/ec/67fbef5d497f86283db54c22eec6f6140243aae73265799baaaa19cd17fb/ghp_import-2.1.0-py3-none-any.whl", hash = "sha256:8337dd7b50877f163d4c0289bc1f1c7f127550241988d568c1db512c4324a619", size = 11034, upload-time = "2022-05-02T15:47:14.552Z" },
+]
+
+[[package]]
+name = "griffelib"
+version = "2.0.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ad/06/eccbd311c9e2b3ca45dbc063b93134c57a1ccc7607c5e545264ad092c4a9/griffelib-2.0.0.tar.gz", hash = "sha256:e504d637a089f5cab9b5daf18f7645970509bf4f53eda8d79ed71cce8bd97934", size = 166312, upload-time = "2026-03-23T21:06:55.954Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/4d/51/c936033e16d12b627ea334aaaaf42229c37620d0f15593456ab69ab48161/griffelib-2.0.0-py3-none-any.whl", hash = "sha256:01284878c966508b6d6f1dbff9b6fa607bc062d8261c5c7253cb285b06422a7f", size = 142004, upload-time = "2026-02-09T19:09:40.561Z" },
+]
+
+[[package]]
+name = "h11"
+version = "0.16.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/01/ee/02a2c011bdab74c6fb3c75474d40b3052059d95df7e73351460c8588d963/h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1", size = 101250, upload-time = "2025-04-24T03:35:25.427Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515, upload-time = "2025-04-24T03:35:24.344Z" },
+]
+
+[[package]]
+name = "h5io"
+version = "0.2.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "h5py" },
+    { name = "numpy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/78/17/3789c0c72e64d59ca2433237ec325b19f283b13c61b0ecfc0671afaf609b/h5io-0.2.5.tar.gz", hash = "sha256:265bc9c24508b30575e8a8806b19cd4440643ff26f8b82b51d0280444807eed8", size = 21000, upload-time = "2025-04-14T16:41:12.159Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/81/3c/e7260dcdbdb166a8e85b72929066f33a2892930eb81bd9080682f97c4855/h5io-0.2.5-py3-none-any.whl", hash = "sha256:657f85ecd0d0f307ccd2e13dc7af1c0aa546b1598065229aedab8a6afcacb8ee", size = 17663, upload-time = "2025-04-14T16:41:09.186Z" },
+]
+
+[[package]]
+name = "h5py"
+version = "3.16.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/db/33/acd0ce6863b6c0d7735007df01815403f5589a21ff8c2e1ee2587a38f548/h5py-3.16.0.tar.gz", hash = "sha256:a0dbaad796840ccaa67a4c144a0d0c8080073c34c76d5a6941d6818678ef2738", size = 446526, upload-time = "2026-03-06T13:49:08.07Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ba/95/a825894f3e45cbac7554c4e97314ce886b233a20033787eda755ca8fecc7/h5py-3.16.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:719439d14b83f74eeb080e9650a6c7aa6d0d9ea0ca7f804347b05fac6fbf18af", size = 3721663, upload-time = "2026-03-06T13:47:49.599Z" },
+    { url = "https://files.pythonhosted.org/packages/bf/3b/38ff88b347c3e346cda1d3fc1b65a7aa75d40632228d8b8a5d7b58508c24/h5py-3.16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c3f0a0e136f2e95dd0b67146abb6668af4f1a69c81ef8651a2d316e8e01de447", size = 3087630, upload-time = "2026-03-06T13:47:51.249Z" },
+    { url = "https://files.pythonhosted.org/packages/98/a8/2594cef906aee761601eff842c7dc598bea2b394a3e1c00966832b8eeb7c/h5py-3.16.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:a6fbc5367d4046801f9b7db9191b31895f22f1c6df1f9987d667854cac493538", size = 4823472, upload-time = "2026-03-06T13:47:53.085Z" },
+    { url = "https://files.pythonhosted.org/packages/52/a0/c1f604538ff6db22a0690be2dc44ab59178e115f63c917794e529356ab23/h5py-3.16.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:fb1720028d99040792bb2fb31facb8da44a6f29df7697e0b84f0d79aff2e9bd3", size = 5027150, upload-time = "2026-03-06T13:47:55.043Z" },
+    { url = "https://files.pythonhosted.org/packages/2e/fd/301739083c2fc4fd89950f9bcfce75d6e14b40b0ca3d40e48a8993d1722c/h5py-3.16.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:314b6054fe0b1051c2b0cb2df5cbdab15622fb05e80f202e3b6a5eee0d6fe365", size = 4814544, upload-time = "2026-03-06T13:47:56.893Z" },
+    { url = "https://files.pythonhosted.org/packages/4c/42/2193ed41ccee78baba8fcc0cff2c925b8b9ee3793305b23e1f22c20bf4c7/h5py-3.16.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ffbab2fedd6581f6aa31cf1639ca2cb86e02779de525667892ebf4cc9fd26434", size = 5034013, upload-time = "2026-03-06T13:47:59.01Z" },
+    { url = "https://files.pythonhosted.org/packages/f7/20/e6c0ff62ca2ad1a396a34f4380bafccaaf8791ff8fccf3d995a1fc12d417/h5py-3.16.0-cp311-cp311-win_amd64.whl", hash = "sha256:17d1f1630f92ad74494a9a7392ab25982ce2b469fc62da6074c0ce48366a2999", size = 3191673, upload-time = "2026-03-06T13:48:00.626Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/48/239cbe352ac4f2b8243a8e620fa1a2034635f633731493a7ff1ed71e8658/h5py-3.16.0-cp311-cp311-win_arm64.whl", hash = "sha256:85b9c49dd58dc44cf70af944784e2c2038b6f799665d0dcbbc812a26e0faa859", size = 2673834, upload-time = "2026-03-06T13:48:02.579Z" },
+    { url = "https://files.pythonhosted.org/packages/c8/c0/5d4119dba94093bbafede500d3defd2f5eab7897732998c04b54021e530b/h5py-3.16.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c5313566f4643121a78503a473f0fb1e6dcc541d5115c44f05e037609c565c4d", size = 3685604, upload-time = "2026-03-06T13:48:04.198Z" },
+    { url = "https://files.pythonhosted.org/packages/b0/42/c84efcc1d4caebafb1ecd8be4643f39c85c47a80fe254d92b8b43b1eadaf/h5py-3.16.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:42b012933a83e1a558c673176676a10ce2fd3759976a0fedee1e672d1e04fc9d", size = 3061940, upload-time = "2026-03-06T13:48:05.783Z" },
+    { url = "https://files.pythonhosted.org/packages/89/84/06281c82d4d1686fde1ac6b0f307c50918f1c0151062445ab3b6fa5a921d/h5py-3.16.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:ff24039e2573297787c3063df64b60aab0591980ac898329a08b0320e0cf2527", size = 5198852, upload-time = "2026-03-06T13:48:07.482Z" },
+    { url = "https://files.pythonhosted.org/packages/9e/e9/1a19e42cd43cc1365e127db6aae85e1c671da1d9a5d746f4d34a50edb577/h5py-3.16.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:dfc21898ff025f1e8e67e194965a95a8d4754f452f83454538f98f8a3fcb207e", size = 5405250, upload-time = "2026-03-06T13:48:09.628Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/8e/9790c1655eabeb85b92b1ecab7d7e62a2069e53baefd58c98f0909c7a948/h5py-3.16.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:698dd69291272642ffda44a0ecd6cd3bda5faf9621452d255f57ce91487b9794", size = 5190108, upload-time = "2026-03-06T13:48:11.26Z" },
+    { url = "https://files.pythonhosted.org/packages/51/d7/ab693274f1bd7e8c5f9fdd6c7003a88d59bedeaf8752716a55f532924fbb/h5py-3.16.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2b2c02b0a160faed5fb33f1ba8a264a37ee240b22e049ecc827345d0d9043074", size = 5419216, upload-time = "2026-03-06T13:48:13.322Z" },
+    { url = "https://files.pythonhosted.org/packages/03/c1/0976b235cf29ead553e22f2fb6385a8252b533715e00d0ae52ed7b900582/h5py-3.16.0-cp312-cp312-win_amd64.whl", hash = "sha256:96b422019a1c8975c2d5dadcf61d4ba6f01c31f92bbde6e4649607885fe502d6", size = 3182868, upload-time = "2026-03-06T13:48:15.759Z" },
+    { url = "https://files.pythonhosted.org/packages/14/d9/866b7e570b39070f92d47b0ff1800f0f8239b6f9e45f02363d7112336c1f/h5py-3.16.0-cp312-cp312-win_arm64.whl", hash = "sha256:39c2838fb1e8d97bcf1755e60ad1f3dd76a7b2a475928dc321672752678b96db", size = 2653286, upload-time = "2026-03-06T13:48:17.279Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/9e/6142ebfda0cb6e9349c091eae73c2e01a770b7659255248d637bec54a88b/h5py-3.16.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:370a845f432c2c9619db8eed334d1e610c6015796122b0e57aa46312c22617d9", size = 3671808, upload-time = "2026-03-06T13:48:19.737Z" },
+    { url = "https://files.pythonhosted.org/packages/b0/65/5e088a45d0f43cd814bc5bec521c051d42005a472e804b1a36c48dada09b/h5py-3.16.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:42108e93326c50c2810025aade9eac9d6827524cdccc7d4b75a546e5ab308edb", size = 3045837, upload-time = "2026-03-06T13:48:21.854Z" },
+    { url = "https://files.pythonhosted.org/packages/da/1e/6172269e18cc5a484e2913ced33339aad588e02ba407fafd00d369e22ef3/h5py-3.16.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:099f2525c9dcf28de366970a5fb34879aab20491589fa89ce2863a84218bb524", size = 5193860, upload-time = "2026-03-06T13:48:24.071Z" },
+    { url = "https://files.pythonhosted.org/packages/bd/98/ef2b6fe2903e377cbe870c3b2800d62552f1e3dbe81ce49e1923c53d1c5c/h5py-3.16.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:9300ad32dea9dfc5171f94d5f6948e159ed93e4701280b0f508773b3f582f402", size = 5400417, upload-time = "2026-03-06T13:48:25.728Z" },
+    { url = "https://files.pythonhosted.org/packages/bc/81/5b62d760039eed64348c98129d17061fdfc7839fc9c04eaaad6dee1004e4/h5py-3.16.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:171038f23bccddfc23f344cadabdfc9917ff554db6a0d417180d2747fe4c75a7", size = 5185214, upload-time = "2026-03-06T13:48:27.436Z" },
+    { url = "https://files.pythonhosted.org/packages/28/c4/532123bcd9080e250696779c927f2cb906c8bf3447df98f5ceb8dcded539/h5py-3.16.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:7e420b539fb6023a259a1b14d4c9f6df8cf50d7268f48e161169987a57b737ff", size = 5414598, upload-time = "2026-03-06T13:48:29.49Z" },
+    { url = "https://files.pythonhosted.org/packages/c3/d9/a27997f84341fc0dfcdd1fe4179b6ba6c32a7aa880fdb8c514d4dad6fba3/h5py-3.16.0-cp313-cp313-win_amd64.whl", hash = "sha256:18f2bbcd545e6991412253b98727374c356d67caa920e68dc79eab36bf5fedad", size = 3175509, upload-time = "2026-03-06T13:48:31.131Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/23/bb8647521d4fd770c30a76cfc6cb6a2f5495868904054e92f2394c5a78ff/h5py-3.16.0-cp313-cp313-win_arm64.whl", hash = "sha256:656f00e4d903199a1d58df06b711cf3ca632b874b4207b7dbec86185b5c8c7d4", size = 2647362, upload-time = "2026-03-06T13:48:33.411Z" },
+    { url = "https://files.pythonhosted.org/packages/48/3c/7fcd9b4c9eed82e91fb15568992561019ae7a829d1f696b2c844355d95dd/h5py-3.16.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:9c9d307c0ef862d1cd5714f72ecfafe0a5d7529c44845afa8de9f46e5ba8bd65", size = 3678608, upload-time = "2026-03-06T13:48:35.183Z" },
+    { url = "https://files.pythonhosted.org/packages/6a/b7/9366ed44ced9b7ef357ab48c94205280276db9d7f064aa3012a97227e966/h5py-3.16.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:8c1eff849cdd53cbc73c214c30ebdb6f1bb8b64790b4b4fc36acdb5e43570210", size = 3054773, upload-time = "2026-03-06T13:48:37.139Z" },
+    { url = "https://files.pythonhosted.org/packages/58/a5/4964bc0e91e86340c2bbda83420225b2f770dcf1eb8a39464871ad769436/h5py-3.16.0-cp314-cp314-manylinux_2_28_aarch64.whl", hash = "sha256:e2c04d129f180019e216ee5f9c40b78a418634091c8782e1f723a6ca3658b965", size = 5198886, upload-time = "2026-03-06T13:48:38.879Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/16/d905e7f53e661ce2c24686c38048d8e2b750ffc4350009d41c4e6c6c9826/h5py-3.16.0-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:e4360f15875a532bc7b98196c7592ed4fc92672a57c0a621355961cafb17a6dd", size = 5404883, upload-time = "2026-03-06T13:48:41.324Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/f2/58f34cb74af46d39f4cd18ea20909a8514960c5a3e5b92fd06a28161e0a8/h5py-3.16.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:3fae9197390c325e62e0a1aa977f2f62d994aa87aab182abbea85479b791197c", size = 5192039, upload-time = "2026-03-06T13:48:43.117Z" },
+    { url = "https://files.pythonhosted.org/packages/ce/ca/934a39c24ce2e2db017268c08da0537c20fa0be7e1549be3e977313fc8f5/h5py-3.16.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:43259303989ac8adacc9986695b31e35dba6fd1e297ff9c6a04b7da5542139cc", size = 5421526, upload-time = "2026-03-06T13:48:44.838Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/14/615a450205e1b56d16c6783f5ccd116cde05550faad70ae077c955654a75/h5py-3.16.0-cp314-cp314-win_amd64.whl", hash = "sha256:fa48993a0b799737ba7fd21e2350fa0a60701e58180fae9f2de834bc39a147ab", size = 3183263, upload-time = "2026-03-06T13:48:47.117Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/48/a6faef5ed632cae0c65ac6b214a6614a0b510c3183532c521bdb0055e117/h5py-3.16.0-cp314-cp314-win_arm64.whl", hash = "sha256:1897a771a7f40d05c262fc8f37376ec37873218544b70216872876c627640f63", size = 2663450, upload-time = "2026-03-06T13:48:48.707Z" },
+    { url = "https://files.pythonhosted.org/packages/5d/32/0c8bb8aedb62c772cf7c1d427c7d1951477e8c2835f872bc0a13d1f85f86/h5py-3.16.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:15922e485844f77c0b9d275396d435db3baa58292a9c2176a386e072e0cf2491", size = 3760693, upload-time = "2026-03-06T13:48:50.453Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/1f/fcc5977d32d6387c5c9a694afee716a5e20658ac08b3ff24fdec79fb05f2/h5py-3.16.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:df02dd29bd247f98674634dfe41f89fd7c16ba3d7de8695ec958f58404a4e618", size = 3181305, upload-time = "2026-03-06T13:48:52.221Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/a1/af87f64b9f986889884243643621ebbd4ac72472ba8ec8cec891ac8e2ca1/h5py-3.16.0-cp314-cp314t-manylinux_2_28_aarch64.whl", hash = "sha256:0f456f556e4e2cebeebd9d66adf8dc321770a42593494a0b6f0af54a7567b242", size = 5074061, upload-time = "2026-03-06T13:48:54.089Z" },
+    { url = "https://files.pythonhosted.org/packages/cc/d0/146f5eaff3dc246a9c7f6e5e4f42bd45cc613bce16693bcd4d1f7c958bf5/h5py-3.16.0-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:3e6cb3387c756de6a9492d601553dffea3fe11b5f22b443aac708c69f3f55e16", size = 5279216, upload-time = "2026-03-06T13:48:56.75Z" },
+    { url = "https://files.pythonhosted.org/packages/a1/9d/12a13424f1e604fc7df9497b73c0356fb78c2fb206abd7465ce47226e8fd/h5py-3.16.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:8389e13a1fd745ad2856873e8187fd10268b2d9677877bb667b41aebd771d8b7", size = 5070068, upload-time = "2026-03-06T13:48:59.169Z" },
+    { url = "https://files.pythonhosted.org/packages/41/8c/bbe98f813722b4873818a8db3e15aa3e625b59278566905ac439725e8070/h5py-3.16.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:346df559a0f7dcb31cf8e44805319e2ab24b8957c45e7708ce503b2ec79ba725", size = 5300253, upload-time = "2026-03-06T13:49:02.033Z" },
+    { url = "https://files.pythonhosted.org/packages/32/9e/87e6705b4d6890e7cecdf876e2a7d3e40654a2ae37482d79a6f1b87f7b92/h5py-3.16.0-cp314-cp314t-win_amd64.whl", hash = "sha256:4c6ab014ab704b4feaa719ae783b86522ed0bf1f82184704ed3c9e4e3228796e", size = 3381671, upload-time = "2026-03-06T13:49:04.351Z" },
+    { url = "https://files.pythonhosted.org/packages/96/91/9fad90cfc5f9b2489c7c26ad897157bce82f0e9534a986a221b99760b23b/h5py-3.16.0-cp314-cp314t-win_arm64.whl", hash = "sha256:faca8fb4e4319c09d83337adc80b2ca7d5c5a343c2d6f1b6388f32cfecca13c1", size = 2740706, upload-time = "2026-03-06T13:49:06.347Z" },
+]
+
+[[package]]
+name = "htmltools"
+version = "0.6.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "packaging" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/cd/1d/c568d17e9fb5ad5aa0ca3531c58d36fe69deb8eee4e53ff6425c1f99f210/htmltools-0.6.0.tar.gz", hash = "sha256:e8a3fb023d748935035db7ff17f620612ffc814a6a80b6ae388f7b7ab182adf7", size = 97152, upload-time = "2024-10-29T20:21:43.378Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0a/ba/aa99706246f1938ca905eb6eeb7db832ac2e157aa4b805acb5cd4cd1791a/htmltools-0.6.0-py3-none-any.whl", hash = "sha256:072a274ff5e2851e0acce13fc5bb2bbdbbad8268dc8b123f881c05012ce7dce0", size = 84954, upload-time = "2024-10-29T20:21:42.067Z" },
+]
+
+[[package]]
+name = "httpcore"
+version = "1.0.9"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "certifi" },
+    { name = "h11" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/06/94/82699a10bca87a5556c9c59b5963f2d039dbd239f25bc2a63907a05a14cb/httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8", size = 85484, upload-time = "2025-04-24T22:06:22.219Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/7e/f5/f66802a942d491edb555dd61e3a9961140fd64c90bce1eafd741609d334d/httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55", size = 78784, upload-time = "2025-04-24T22:06:20.566Z" },
+]
+
+[[package]]
+name = "httpx"
+version = "0.28.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "anyio" },
+    { name = "certifi" },
+    { name = "httpcore" },
+    { name = "idna" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b1/df/48c586a5fe32a0f01324ee087459e112ebb7224f646c0b5023f5e79e9956/httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc", size = 141406, upload-time = "2024-12-06T15:37:23.222Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2a/39/e50c7c3a983047577ee07d2a9e53faf5a69493943ec3f6a384bdc792deb2/httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad", size = 73517, upload-time = "2024-12-06T15:37:21.509Z" },
+]
+
+[[package]]
+name = "hypyp"
+version = "0.5.0b18"
+source = { editable = "." }
+dependencies = [
+    { name = "autoreject" },
+    { name = "certifi" },
+    { name = "importlib-resources" },
+    { name = "matplotlib" },
+    { name = "meshio" },
+    { name = "mistune" },
+    { name = "mne" },
+    { name = "mne-connectivity" },
+    { name = "numpy" },
+    { name = "pandas" },
+    { name = "pillow" },
+    { name = "pyarrow" },
+    { name = "pywavelets" },
+    { name = "pyxdf" },
+    { name = "requests" },
+    { name = "scikit-image" },
+    { name = "scipy" },
+    { name = "seaborn" },
+    { name = "snirf" },
+    { name = "statsmodels" },
+    { name = "tqdm" },
+    { name = "urllib3" },
+]
+
+[package.optional-dependencies]
+numba = [
+    { name = "numba" },
+]
+shiny = [
+    { name = "shiny" },
+]
+torch = [
+    { name = "torch" },
+]
+
+[package.dev-dependencies]
+benchmark = [
+    { name = "doit" },
+]
+dev = [
+    { name = "black" },
+    { name = "ipykernel" },
+    { name = "ipywidgets" },
+    { name = "jupyterlab" },
+    { name = "livereload" },
+    { name = "mkdocs" },
+    { name = "mkdocs-include-markdown-plugin" },
+    { name = "mkdocs-material" },
+    { name = "mkdocstrings" },
+    { name = "mkdocstrings-python" },
+    { name = "mkdocstrings-python-legacy" },
+    { name = "notebook" },
+    { name = "pylint" },
+    { name = "pyqt6" },
+    { name = "pytest" },
+    { name = "pytest-mock" },
+    { name = "pytest-watch" },
+    { name = "tabulate" },
+    { name = "widgetsnbextension" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "autoreject", specifier = ">=0.4.3" },
+    { name = "certifi", specifier = ">=2022.12.7" },
+    { name = "importlib-resources", specifier = ">=6.0.0" },
+    { name = "matplotlib", specifier = ">=3.7.2" },
+    { name = "meshio", specifier = ">=5.3.4" },
+    { name = "mistune", specifier = ">=2.0.4" },
+    { name = "mne", specifier = ">=1.3" },
+    { name = "mne-connectivity", specifier = ">=0.7.0" },
+    { name = "numba", marker = "extra == 'numba'", specifier = ">=0.60.0" },
+    { name = "numpy", specifier = ">=2.2.3" },
+    { name = "pandas", specifier = ">=2.0.3" },
+    { name = "pillow", specifier = ">=11.3.0" },
+    { name = "pyarrow", specifier = ">=20.0.0" },
+    { name = "pywavelets", specifier = ">=1.8.0" },
+    { name = "pyxdf", specifier = ">=1.17.0" },
+    { name = "requests", specifier = ">=2.32.4" },
+    { name = "scikit-image", specifier = ">=0.25.2" },
+    { name = "scipy", specifier = ">=1.17.1" },
+    { name = "seaborn", specifier = ">=0.13.2" },
+    { name = "shiny", marker = "extra == 'shiny'", specifier = ">=1.1.0" },
+    { name = "snirf", specifier = ">=0.8.0" },
+    { name = "statsmodels", specifier = ">=0.14.4" },
+    { name = "torch", marker = "extra == 'torch'", specifier = ">=2.0.0" },
+    { name = "tqdm", specifier = ">=4.46.0" },
+    { name = "urllib3", specifier = ">=2.5.0" },
+]
+provides-extras = ["shiny", "numba", "torch"]
+
+[package.metadata.requires-dev]
+benchmark = [{ name = "doit", specifier = ">=0.36.0" }]
+dev = [
+    { name = "black", specifier = ">=25.1.0" },
+    { name = "ipykernel", specifier = ">=6.19.4" },
+    { name = "ipywidgets", specifier = ">=7.5.1" },
+    { name = "jupyterlab", specifier = ">=4.3.5" },
+    { name = "livereload", specifier = ">=2.6.3" },
+    { name = "mkdocs", specifier = ">=1.3.0" },
+    { name = "mkdocs-include-markdown-plugin", specifier = ">=7.1.5" },
+    { name = "mkdocs-material", specifier = ">=8.2.15" },
+    { name = "mkdocstrings", specifier = ">=0.20.0" },
+    { name = "mkdocstrings-python", specifier = ">=1.1.0" },
+    { name = "mkdocstrings-python-legacy", specifier = ">=0.2.3" },
+    { name = "notebook", specifier = ">=7.4.3" },
+    { name = "pylint", specifier = ">=2.4.4" },
+    { name = "pyqt6", specifier = ">=6.10.2" },
+    { name = "pytest", specifier = ">=7.2.0" },
+    { name = "pytest-mock", specifier = ">=3.14.0" },
+    { name = "pytest-watch", specifier = ">=4.2.0" },
+    { name = "tabulate", specifier = ">=0.9.0" },
+    { name = "widgetsnbextension", specifier = ">=3.5.1" },
+]
+
+[[package]]
+name = "idna"
+version = "3.11"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/6f/6d/0703ccc57f3a7233505399edb88de3cbd678da106337b9fcde432b65ed60/idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902", size = 194582, upload-time = "2025-10-12T14:55:20.501Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0e/61/66938bbb5fc52dbdf84594873d5b51fb1f7c7794e9c0f5bd885f30bc507b/idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea", size = 71008, upload-time = "2025-10-12T14:55:18.883Z" },
+]
+
+[[package]]
+name = "imageio"
+version = "2.37.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+    { name = "pillow" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b1/84/93bcd1300216ea50811cee96873b84a1bebf8d0489ffaf7f2a3756bab866/imageio-2.37.3.tar.gz", hash = "sha256:bbb37efbfc4c400fcd534b367b91fcd66d5da639aaa138034431a1c5e0a41451", size = 389673, upload-time = "2026-03-09T11:31:12.573Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/49/fa/391e437a34e55095173dca5f24070d89cbc233ff85bf1c29c93248c6588d/imageio-2.37.3-py3-none-any.whl", hash = "sha256:46f5bb8522cd421c0f5ae104d8268f569d856b29eb1a13b92829d1970f32c9f0", size = 317646, upload-time = "2026-03-09T11:31:10.771Z" },
+]
+
+[[package]]
+name = "importlib-metadata"
+version = "8.7.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "zipp" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/f3/49/3b30cad09e7771a4982d9975a8cbf64f00d4a1ececb53297f1d9a7be1b10/importlib_metadata-8.7.1.tar.gz", hash = "sha256:49fef1ae6440c182052f407c8d34a68f72efc36db9ca90dc0113398f2fdde8bb", size = 57107, upload-time = "2025-12-21T10:00:19.278Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fa/5e/f8e9a1d23b9c20a551a8a02ea3637b4642e22c2626e3a13a9a29cdea99eb/importlib_metadata-8.7.1-py3-none-any.whl", hash = "sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151", size = 27865, upload-time = "2025-12-21T10:00:18.329Z" },
+]
+
+[[package]]
+name = "importlib-resources"
+version = "6.5.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/cf/8c/f834fbf984f691b4f7ff60f50b514cc3de5cc08abfc3295564dd89c5e2e7/importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c", size = 44693, upload-time = "2025-01-03T18:51:56.698Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a4/ed/1f1afb2e9e7f38a545d628f864d562a5ae64fe6f7a10e28ffb9b185b4e89/importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec", size = 37461, upload-time = "2025-01-03T18:51:54.306Z" },
+]
+
+[[package]]
+name = "iniconfig"
+version = "2.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/72/34/14ca021ce8e5dfedc35312d08ba8bf51fdd999c576889fc2c24cb97f4f10/iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730", size = 20503, upload-time = "2025-10-18T21:55:43.219Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/cb/b1/3846dd7f199d53cb17f49cba7e651e9ce294d8497c8c150530ed11865bb8/iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12", size = 7484, upload-time = "2025-10-18T21:55:41.639Z" },
+]
+
+[[package]]
+name = "ipykernel"
+version = "7.2.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "appnope", marker = "sys_platform == 'darwin'" },
+    { name = "comm" },
+    { name = "debugpy" },
+    { name = "ipython", version = "9.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" },
+    { name = "ipython", version = "9.11.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" },
+    { name = "jupyter-client" },
+    { name = "jupyter-core" },
+    { name = "matplotlib-inline" },
+    { name = "nest-asyncio" },
+    { name = "packaging" },
+    { name = "psutil" },
+    { name = "pyzmq" },
+    { name = "tornado" },
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ca/8d/b68b728e2d06b9e0051019640a40a9eb7a88fcd82c2e1b5ce70bef5ff044/ipykernel-7.2.0.tar.gz", hash = "sha256:18ed160b6dee2cbb16e5f3575858bc19d8f1fe6046a9a680c708494ce31d909e", size = 176046, upload-time = "2026-02-06T16:43:27.403Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/82/b9/e73d5d9f405cba7706c539aa8b311b49d4c2f3d698d9c12f815231169c71/ipykernel-7.2.0-py3-none-any.whl", hash = "sha256:3bbd4420d2b3cc105cbdf3756bfc04500b1e52f090a90716851f3916c62e1661", size = 118788, upload-time = "2026-02-06T16:43:25.149Z" },
+]
+
+[[package]]
+name = "ipython"
+version = "9.10.0"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version < '3.12' and platform_machine == 'ARM64' and sys_platform == 'win32'",
+    "python_full_version < '3.12' and platform_machine != 'ARM64' and sys_platform == 'win32'",
+    "python_full_version < '3.12' and sys_platform == 'emscripten'",
+    "python_full_version < '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+]
+dependencies = [
+    { name = "colorama", marker = "python_full_version < '3.12' and sys_platform == 'win32'" },
+    { name = "decorator", marker = "python_full_version < '3.12'" },
+    { name = "ipython-pygments-lexers", marker = "python_full_version < '3.12'" },
+    { name = "jedi", marker = "python_full_version < '3.12'" },
+    { name = "matplotlib-inline", marker = "python_full_version < '3.12'" },
+    { name = "pexpect", marker = "python_full_version < '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'" },
+    { name = "prompt-toolkit", marker = "python_full_version < '3.12'" },
+    { name = "pygments", marker = "python_full_version < '3.12'" },
+    { name = "stack-data", marker = "python_full_version < '3.12'" },
+    { name = "traitlets", marker = "python_full_version < '3.12'" },
+    { name = "typing-extensions", marker = "python_full_version < '3.12'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/a6/60/2111715ea11f39b1535bed6024b7dec7918b71e5e5d30855a5b503056b50/ipython-9.10.0.tar.gz", hash = "sha256:cd9e656be97618a0676d058134cd44e6dc7012c0e5cb36a9ce96a8c904adaf77", size = 4426526, upload-time = "2026-02-02T10:00:33.594Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3d/aa/898dec789a05731cd5a9f50605b7b44a72bd198fd0d4528e11fc610177cc/ipython-9.10.0-py3-none-any.whl", hash = "sha256:c6ab68cc23bba8c7e18e9b932797014cc61ea7fd6f19de180ab9ba73e65ee58d", size = 622774, upload-time = "2026-02-02T10:00:31.503Z" },
+]
+
+[[package]]
+name = "ipython"
+version = "9.11.0"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'",
+    "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'",
+    "python_full_version >= '3.14' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+]
+dependencies = [
+    { name = "colorama", marker = "python_full_version >= '3.12' and sys_platform == 'win32'" },
+    { name = "decorator", marker = "python_full_version >= '3.12'" },
+    { name = "ipython-pygments-lexers", marker = "python_full_version >= '3.12'" },
+    { name = "jedi", marker = "python_full_version >= '3.12'" },
+    { name = "matplotlib-inline", marker = "python_full_version >= '3.12'" },
+    { name = "pexpect", marker = "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'" },
+    { name = "prompt-toolkit", marker = "python_full_version >= '3.12'" },
+    { name = "pygments", marker = "python_full_version >= '3.12'" },
+    { name = "stack-data", marker = "python_full_version >= '3.12'" },
+    { name = "traitlets", marker = "python_full_version >= '3.12'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/86/28/a4698eda5a8928a45d6b693578b135b753e14fa1c2b36ee9441e69a45576/ipython-9.11.0.tar.gz", hash = "sha256:2a94bc4406b22ecc7e4cb95b98450f3ea493a76bec8896cda11b78d7752a6667", size = 4427354, upload-time = "2026-03-05T08:57:30.549Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b2/90/45c72becc57158facc6a6404f663b77bbcea2519ca57f760e2879ae1315d/ipython-9.11.0-py3-none-any.whl", hash = "sha256:6922d5bcf944c6e525a76a0a304451b60a2b6f875e86656d8bc2dfda5d710e19", size = 624222, upload-time = "2026-03-05T08:57:28.94Z" },
+]
+
+[[package]]
+name = "ipython-pygments-lexers"
+version = "1.1.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pygments" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ef/4c/5dd1d8af08107f88c7f741ead7a40854b8ac24ddf9ae850afbcf698aa552/ipython_pygments_lexers-1.1.1.tar.gz", hash = "sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81", size = 8393, upload-time = "2025-01-17T11:24:34.505Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d9/33/1f075bf72b0b747cb3288d011319aaf64083cf2efef8354174e3ed4540e2/ipython_pygments_lexers-1.1.1-py3-none-any.whl", hash = "sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c", size = 8074, upload-time = "2025-01-17T11:24:33.271Z" },
+]
+
+[[package]]
+name = "ipywidgets"
+version = "8.1.8"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "comm" },
+    { name = "ipython", version = "9.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" },
+    { name = "ipython", version = "9.11.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" },
+    { name = "jupyterlab-widgets" },
+    { name = "traitlets" },
+    { name = "widgetsnbextension" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/4c/ae/c5ce1edc1afe042eadb445e95b0671b03cee61895264357956e61c0d2ac0/ipywidgets-8.1.8.tar.gz", hash = "sha256:61f969306b95f85fba6b6986b7fe45d73124d1d9e3023a8068710d47a22ea668", size = 116739, upload-time = "2025-11-01T21:18:12.393Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/56/6d/0d9848617b9f753b87f214f1c682592f7ca42de085f564352f10f0843026/ipywidgets-8.1.8-py3-none-any.whl", hash = "sha256:ecaca67aed704a338f88f67b1181b58f821ab5dc89c1f0f5ef99db43c1c2921e", size = 139808, upload-time = "2025-11-01T21:18:10.956Z" },
+]
+
+[[package]]
+name = "isoduration"
+version = "20.11.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "arrow" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/7c/1a/3c8edc664e06e6bd06cce40c6b22da5f1429aa4224d0c590f3be21c91ead/isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9", size = 11649, upload-time = "2020-11-01T11:00:00.312Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/7b/55/e5326141505c5d5e34c5e0935d2908a74e4561eca44108fbfb9c13d2911a/isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042", size = 11321, upload-time = "2020-11-01T10:59:58.02Z" },
+]
+
+[[package]]
+name = "isort"
+version = "8.0.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ef/7c/ec4ab396d31b3b395e2e999c8f46dec78c5e29209fac49d1f4dace04041d/isort-8.0.1.tar.gz", hash = "sha256:171ac4ff559cdc060bcfff550bc8404a486fee0caab245679c2abe7cb253c78d", size = 769592, upload-time = "2026-02-28T10:08:20.685Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3e/95/c7c34aa53c16353c56d0b802fba48d5f5caa2cdee7958acbcb795c830416/isort-8.0.1-py3-none-any.whl", hash = "sha256:28b89bc70f751b559aeca209e6120393d43fbe2490de0559662be7a9787e3d75", size = 89733, upload-time = "2026-02-28T10:08:19.466Z" },
+]
+
+[[package]]
+name = "jedi"
+version = "0.19.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "parso" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/72/3a/79a912fbd4d8dd6fbb02bf69afd3bb72cf0c729bb3063c6f4498603db17a/jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0", size = 1231287, upload-time = "2024-11-11T01:41:42.873Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c0/5a/9cac0c82afec3d09ccd97c8b6502d48f165f9124db81b4bcb90b4af974ee/jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9", size = 1572278, upload-time = "2024-11-11T01:41:40.175Z" },
+]
+
+[[package]]
+name = "jinja2"
+version = "3.1.6"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "markupsafe" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/df/bf/f7da0350254c0ed7c72f3e33cef02e048281fec7ecec5f032d4aac52226b/jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d", size = 245115, upload-time = "2025-03-05T20:05:02.478Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/62/a1/3d680cbfd5f4b8f15abc1d571870c5fc3e594bb582bc3b64ea099db13e56/jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67", size = 134899, upload-time = "2025-03-05T20:05:00.369Z" },
+]
+
+[[package]]
+name = "joblib"
+version = "1.5.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/41/f2/d34e8b3a08a9cc79a50b2208a93dce981fe615b64d5a4d4abee421d898df/joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3", size = 331603, upload-time = "2025-12-15T08:41:46.427Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/7b/91/984aca2ec129e2757d1e4e3c81c3fcda9d0f85b74670a094cc443d9ee949/joblib-1.5.3-py3-none-any.whl", hash = "sha256:5fc3c5039fc5ca8c0276333a188bbd59d6b7ab37fe6632daa76bc7f9ec18e713", size = 309071, upload-time = "2025-12-15T08:41:44.973Z" },
+]
+
+[[package]]
+name = "json5"
+version = "0.13.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/77/e8/a3f261a66e4663f22700bc8a17c08cb83e91fbf086726e7a228398968981/json5-0.13.0.tar.gz", hash = "sha256:b1edf8d487721c0bf64d83c28e91280781f6e21f4a797d3261c7c828d4c165bf", size = 52441, upload-time = "2026-01-01T19:42:14.99Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d7/9e/038522f50ceb7e74f1f991bf1b699f24b0c2bbe7c390dd36ad69f4582258/json5-0.13.0-py3-none-any.whl", hash = "sha256:9a08e1dd65f6a4d4c6fa82d216cf2477349ec2346a38fd70cc11d2557499fbcc", size = 36163, upload-time = "2026-01-01T19:42:13.962Z" },
+]
+
+[[package]]
+name = "jsonpointer"
+version = "3.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/48/bf/9ecc036fbc15cf4153ea6ed4dbeed31ef043f762cccc9d44a534be8319b0/jsonpointer-3.1.0.tar.gz", hash = "sha256:f9b39abd59ba8c1de8a4ff16141605d2a8dacc4dd6cf399672cf237bfe47c211", size = 9000, upload-time = "2026-03-20T21:47:09.982Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e4/25/cebb241a435cbf4626b5ea096d8385c04416d7ca3082a15299b746e248fa/jsonpointer-3.1.0-py3-none-any.whl", hash = "sha256:f82aa0f745001f169b96473348370b43c3f581446889c41c807bab1db11c8e7b", size = 7651, upload-time = "2026-03-20T21:47:08.792Z" },
+]
+
+[[package]]
+name = "jsonschema"
+version = "4.26.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "attrs" },
+    { name = "jsonschema-specifications" },
+    { name = "referencing" },
+    { name = "rpds-py" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b3/fc/e067678238fa451312d4c62bf6e6cf5ec56375422aee02f9cb5f909b3047/jsonschema-4.26.0.tar.gz", hash = "sha256:0c26707e2efad8aa1bfc5b7ce170f3fccc2e4918ff85989ba9ffa9facb2be326", size = 366583, upload-time = "2026-01-07T13:41:07.246Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/69/90/f63fb5873511e014207a475e2bb4e8b2e570d655b00ac19a9a0ca0a385ee/jsonschema-4.26.0-py3-none-any.whl", hash = "sha256:d489f15263b8d200f8387e64b4c3a75f06629559fb73deb8fdfb525f2dab50ce", size = 90630, upload-time = "2026-01-07T13:41:05.306Z" },
+]
+
+[package.optional-dependencies]
+format-nongpl = [
+    { name = "fqdn" },
+    { name = "idna" },
+    { name = "isoduration" },
+    { name = "jsonpointer" },
+    { name = "rfc3339-validator" },
+    { name = "rfc3986-validator" },
+    { name = "rfc3987-syntax" },
+    { name = "uri-template" },
+    { name = "webcolors" },
+]
+
+[[package]]
+name = "jsonschema-specifications"
+version = "2025.9.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "referencing" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/19/74/a633ee74eb36c44aa6d1095e7cc5569bebf04342ee146178e2d36600708b/jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d", size = 32855, upload-time = "2025-09-08T01:34:59.186Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/41/45/1a4ed80516f02155c51f51e8cedb3c1902296743db0bbc66608a0db2814f/jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe", size = 18437, upload-time = "2025-09-08T01:34:57.871Z" },
+]
+
+[[package]]
+name = "jupyter-client"
+version = "8.8.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "jupyter-core" },
+    { name = "python-dateutil" },
+    { name = "pyzmq" },
+    { name = "tornado" },
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/05/e4/ba649102a3bc3fbca54e7239fb924fd434c766f855693d86de0b1f2bec81/jupyter_client-8.8.0.tar.gz", hash = "sha256:d556811419a4f2d96c869af34e854e3f059b7cc2d6d01a9cd9c85c267691be3e", size = 348020, upload-time = "2026-01-08T13:55:47.938Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2d/0b/ceb7694d864abc0a047649aec263878acb9f792e1fec3e676f22dc9015e3/jupyter_client-8.8.0-py3-none-any.whl", hash = "sha256:f93a5b99c5e23a507b773d3a1136bd6e16c67883ccdbd9a829b0bbdb98cd7d7a", size = 107371, upload-time = "2026-01-08T13:55:45.562Z" },
+]
+
+[[package]]
+name = "jupyter-core"
+version = "5.9.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "platformdirs" },
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/02/49/9d1284d0dc65e2c757b74c6687b6d319b02f822ad039e5c512df9194d9dd/jupyter_core-5.9.1.tar.gz", hash = "sha256:4d09aaff303b9566c3ce657f580bd089ff5c91f5f89cf7d8846c3cdf465b5508", size = 89814, upload-time = "2025-10-16T19:19:18.444Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e7/e7/80988e32bf6f73919a113473a604f5a8f09094de312b9d52b79c2df7612b/jupyter_core-5.9.1-py3-none-any.whl", hash = "sha256:ebf87fdc6073d142e114c72c9e29a9d7ca03fad818c5d300ce2adc1fb0743407", size = 29032, upload-time = "2025-10-16T19:19:16.783Z" },
+]
+
+[[package]]
+name = "jupyter-events"
+version = "0.12.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "jsonschema", extra = ["format-nongpl"] },
+    { name = "packaging" },
+    { name = "python-json-logger" },
+    { name = "pyyaml" },
+    { name = "referencing" },
+    { name = "rfc3339-validator" },
+    { name = "rfc3986-validator" },
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/9d/c3/306d090461e4cf3cd91eceaff84bede12a8e52cd821c2d20c9a4fd728385/jupyter_events-0.12.0.tar.gz", hash = "sha256:fc3fce98865f6784c9cd0a56a20644fc6098f21c8c33834a8d9fe383c17e554b", size = 62196, upload-time = "2025-02-03T17:23:41.485Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e2/48/577993f1f99c552f18a0428731a755e06171f9902fa118c379eb7c04ea22/jupyter_events-0.12.0-py3-none-any.whl", hash = "sha256:6464b2fa5ad10451c3d35fabc75eab39556ae1e2853ad0c0cc31b656731a97fb", size = 19430, upload-time = "2025-02-03T17:23:38.643Z" },
+]
+
+[[package]]
+name = "jupyter-lsp"
+version = "2.3.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "jupyter-server" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/eb/5a/9066c9f8e94ee517133cd98dba393459a16cd48bba71a82f16a65415206c/jupyter_lsp-2.3.0.tar.gz", hash = "sha256:458aa59339dc868fb784d73364f17dbce8836e906cd75fd471a325cba02e0245", size = 54823, upload-time = "2025-08-27T17:47:34.671Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1a/60/1f6cee0c46263de1173894f0fafcb3475ded276c472c14d25e0280c18d6d/jupyter_lsp-2.3.0-py3-none-any.whl", hash = "sha256:e914a3cb2addf48b1c7710914771aaf1819d46b2e5a79b0f917b5478ec93f34f", size = 76687, upload-time = "2025-08-27T17:47:33.15Z" },
+]
+
+[[package]]
+name = "jupyter-server"
+version = "2.17.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "anyio" },
+    { name = "argon2-cffi" },
+    { name = "jinja2" },
+    { name = "jupyter-client" },
+    { name = "jupyter-core" },
+    { name = "jupyter-events" },
+    { name = "jupyter-server-terminals" },
+    { name = "nbconvert" },
+    { name = "nbformat" },
+    { name = "overrides", marker = "python_full_version < '3.12'" },
+    { name = "packaging" },
+    { name = "prometheus-client" },
+    { name = "pywinpty", marker = "os_name == 'nt'" },
+    { name = "pyzmq" },
+    { name = "send2trash" },
+    { name = "terminado" },
+    { name = "tornado" },
+    { name = "traitlets" },
+    { name = "websocket-client" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/5b/ac/e040ec363d7b6b1f11304cc9f209dac4517ece5d5e01821366b924a64a50/jupyter_server-2.17.0.tar.gz", hash = "sha256:c38ea898566964c888b4772ae1ed58eca84592e88251d2cfc4d171f81f7e99d5", size = 731949, upload-time = "2025-08-21T14:42:54.042Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/92/80/a24767e6ca280f5a49525d987bf3e4d7552bf67c8be07e8ccf20271f8568/jupyter_server-2.17.0-py3-none-any.whl", hash = "sha256:e8cb9c7db4251f51ed307e329b81b72ccf2056ff82d50524debde1ee1870e13f", size = 388221, upload-time = "2025-08-21T14:42:52.034Z" },
+]
+
+[[package]]
+name = "jupyter-server-terminals"
+version = "0.5.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pywinpty", marker = "os_name == 'nt'" },
+    { name = "terminado" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/f4/a7/bcd0a9b0cbba88986fe944aaaf91bfda603e5a50bda8ed15123f381a3b2f/jupyter_server_terminals-0.5.4.tar.gz", hash = "sha256:bbda128ed41d0be9020349f9f1f2a4ab9952a73ed5f5ac9f1419794761fb87f5", size = 31770, upload-time = "2026-01-14T16:53:20.213Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d1/2d/6674563f71c6320841fc300911a55143925112a72a883e2ca71fba4c618d/jupyter_server_terminals-0.5.4-py3-none-any.whl", hash = "sha256:55be353fc74a80bc7f3b20e6be50a55a61cd525626f578dcb66a5708e2007d14", size = 13704, upload-time = "2026-01-14T16:53:18.738Z" },
+]
+
+[[package]]
+name = "jupyterlab"
+version = "4.5.6"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "async-lru" },
+    { name = "httpx" },
+    { name = "ipykernel" },
+    { name = "jinja2" },
+    { name = "jupyter-core" },
+    { name = "jupyter-lsp" },
+    { name = "jupyter-server" },
+    { name = "jupyterlab-server" },
+    { name = "notebook-shim" },
+    { name = "packaging" },
+    { name = "setuptools" },
+    { name = "tornado" },
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ac/d5/730628e03fff2e8a8e8ccdaedde1489ab1309f9a4fa2536248884e30b7c7/jupyterlab-4.5.6.tar.gz", hash = "sha256:642fe2cfe7f0f5922a8a558ba7a0d246c7bc133b708dfe43f7b3a826d163cf42", size = 23970670, upload-time = "2026-03-11T14:17:04.531Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e1/1b/dad6fdcc658ed7af26fdf3841e7394072c9549a8b896c381ab49dd11e2d9/jupyterlab-4.5.6-py3-none-any.whl", hash = "sha256:d6b3dac883aa4d9993348e0f8e95b24624f75099aed64eab6a4351a9cdd1e580", size = 12447124, upload-time = "2026-03-11T14:17:00.229Z" },
+]
+
+[[package]]
+name = "jupyterlab-pygments"
+version = "0.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/90/51/9187be60d989df97f5f0aba133fa54e7300f17616e065d1ada7d7646b6d6/jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d", size = 512900, upload-time = "2023-11-23T09:26:37.44Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b1/dd/ead9d8ea85bf202d90cc513b533f9c363121c7792674f78e0d8a854b63b4/jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780", size = 15884, upload-time = "2023-11-23T09:26:34.325Z" },
+]
+
+[[package]]
+name = "jupyterlab-server"
+version = "2.28.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "babel" },
+    { name = "jinja2" },
+    { name = "json5" },
+    { name = "jsonschema" },
+    { name = "jupyter-server" },
+    { name = "packaging" },
+    { name = "requests" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/d6/2c/90153f189e421e93c4bb4f9e3f59802a1f01abd2ac5cf40b152d7f735232/jupyterlab_server-2.28.0.tar.gz", hash = "sha256:35baa81898b15f93573e2deca50d11ac0ae407ebb688299d3a5213265033712c", size = 76996, upload-time = "2025-10-22T13:59:18.37Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e0/07/a000fe835f76b7e1143242ab1122e6362ef1c03f23f83a045c38859c2ae0/jupyterlab_server-2.28.0-py3-none-any.whl", hash = "sha256:e4355b148fdcf34d312bbbc80f22467d6d20460e8b8736bf235577dd18506968", size = 59830, upload-time = "2025-10-22T13:59:16.767Z" },
+]
+
+[[package]]
+name = "jupyterlab-widgets"
+version = "3.0.16"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/26/2d/ef58fed122b268c69c0aa099da20bc67657cdfb2e222688d5731bd5b971d/jupyterlab_widgets-3.0.16.tar.gz", hash = "sha256:423da05071d55cf27a9e602216d35a3a65a3e41cdf9c5d3b643b814ce38c19e0", size = 897423, upload-time = "2025-11-01T21:11:29.724Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ab/b5/36c712098e6191d1b4e349304ef73a8d06aed77e56ceaac8c0a306c7bda1/jupyterlab_widgets-3.0.16-py3-none-any.whl", hash = "sha256:45fa36d9c6422cf2559198e4db481aa243c7a32d9926b500781c830c80f7ecf8", size = 914926, upload-time = "2025-11-01T21:11:28.008Z" },
+]
+
+[[package]]
+name = "kiwisolver"
+version = "1.5.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/d0/67/9c61eccb13f0bdca9307614e782fec49ffdde0f7a2314935d489fa93cd9c/kiwisolver-1.5.0.tar.gz", hash = "sha256:d4193f3d9dc3f6f79aaed0e5637f45d98850ebf01f7ca20e69457f3e8946b66a", size = 103482, upload-time = "2026-03-09T13:15:53.382Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/12/dd/a495a9c104be1c476f0386e714252caf2b7eca883915422a64c50b88c6f5/kiwisolver-1.5.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:9eed0f7edbb274413b6ee781cca50541c8c0facd3d6fd289779e494340a2b85c", size = 122798, upload-time = "2026-03-09T13:12:58.963Z" },
+    { url = "https://files.pythonhosted.org/packages/11/60/37b4047a2af0cf5ef6d8b4b26e91829ae6fc6a2d1f74524bcb0e7cd28a32/kiwisolver-1.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3c4923e404d6bcd91b6779c009542e5647fef32e4a5d75e115e3bbac6f2335eb", size = 66216, upload-time = "2026-03-09T13:13:00.155Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/aa/510dc933d87767584abfe03efa445889996c70c2990f6f87c3ebaa0a18c5/kiwisolver-1.5.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:0df54df7e686afa55e6f21fb86195224a6d9beb71d637e8d7920c95cf0f89aac", size = 63911, upload-time = "2026-03-09T13:13:01.671Z" },
+    { url = "https://files.pythonhosted.org/packages/80/46/bddc13df6c2a40741e0cc7865bb1c9ed4796b6760bd04ce5fae3928ef917/kiwisolver-1.5.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:2517e24d7315eb51c10664cdb865195df38ab74456c677df67bb47f12d088a27", size = 1438209, upload-time = "2026-03-09T13:13:03.385Z" },
+    { url = "https://files.pythonhosted.org/packages/fd/d6/76621246f5165e5372f02f5e6f3f48ea336a8f9e96e43997d45b240ed8cd/kiwisolver-1.5.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ff710414307fefa903e0d9bdf300972f892c23477829f49504e59834f4195398", size = 1248888, upload-time = "2026-03-09T13:13:05.231Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/c1/31559ec6fb39a5b48035ce29bb63ade628f321785f38c384dee3e2c08bc1/kiwisolver-1.5.0-cp311-cp311-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:6176c1811d9d5a04fa391c490cc44f451e240697a16977f11c6f722efb9041db", size = 1266304, upload-time = "2026-03-09T13:13:06.743Z" },
+    { url = "https://files.pythonhosted.org/packages/5e/ef/1cb8276f2d29cc6a41e0a042f27946ca347d3a4a75acf85d0a16aa6dcc82/kiwisolver-1.5.0-cp311-cp311-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:50847dca5d197fcbd389c805aa1a1cf32f25d2e7273dc47ab181a517666b68cc", size = 1319650, upload-time = "2026-03-09T13:13:08.607Z" },
+    { url = "https://files.pythonhosted.org/packages/4c/e4/5ba3cecd7ce6236ae4a80f67e5d5531287337d0e1f076ca87a5abe4cd5d0/kiwisolver-1.5.0-cp311-cp311-manylinux_2_39_riscv64.whl", hash = "sha256:01808c6d15f4c3e8559595d6d1fe6411c68e4a3822b4b9972b44473b24f4e679", size = 970949, upload-time = "2026-03-09T13:13:10.299Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/69/dc61f7ae9a2f071f26004ced87f078235b5507ab6e5acd78f40365655034/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:f1f9f4121ec58628c96baa3de1a55a4e3a333c5102c8e94b64e23bf7b2083309", size = 2199125, upload-time = "2026-03-09T13:13:11.841Z" },
+    { url = "https://files.pythonhosted.org/packages/e5/7b/abbe0f1b5afa85f8d084b73e90e5f801c0939eba16ac2e49af7c61a6c28d/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:b7d335370ae48a780c6e6a6bbfa97342f563744c39c35562f3f367665f5c1de2", size = 2293783, upload-time = "2026-03-09T13:13:14.399Z" },
+    { url = "https://files.pythonhosted.org/packages/8a/80/5908ae149d96d81580d604c7f8aefd0e98f4fd728cf172f477e9f2a81744/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:800ee55980c18545af444d93fdd60c56b580db5cc54867d8cbf8a1dc0829938c", size = 1960726, upload-time = "2026-03-09T13:13:16.047Z" },
+    { url = "https://files.pythonhosted.org/packages/84/08/a78cb776f8c085b7143142ce479859cfec086bd09ee638a317040b6ef420/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:c438f6ca858697c9ab67eb28246c92508af972e114cac34e57a6d4ba17a3ac08", size = 2464738, upload-time = "2026-03-09T13:13:17.897Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/e1/65584da5356ed6cb12c63791a10b208860ac40a83de165cb6a6751a686e3/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:8c63c91f95173f9c2a67c7c526b2cea976828a0e7fced9cdcead2802dc10f8a4", size = 2270718, upload-time = "2026-03-09T13:13:19.421Z" },
+    { url = "https://files.pythonhosted.org/packages/be/6c/28f17390b62b8f2f520e2915095b3c94d88681ecf0041e75389d9667f202/kiwisolver-1.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:beb7f344487cdcb9e1efe4b7a29681b74d34c08f0043a327a74da852a6749e7b", size = 73480, upload-time = "2026-03-09T13:13:20.818Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/0e/2ee5debc4f77a625778fec5501ff3e8036fe361b7ee28ae402a485bb9694/kiwisolver-1.5.0-cp311-cp311-win_arm64.whl", hash = "sha256:ad4ae4ffd1ee9cd11357b4c66b612da9888f4f4daf2f36995eda64bd45370cac", size = 64930, upload-time = "2026-03-09T13:13:21.997Z" },
+    { url = "https://files.pythonhosted.org/packages/4d/b2/818b74ebea34dabe6d0c51cb1c572e046730e64844da6ed646d5298c40ce/kiwisolver-1.5.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:4e9750bc21b886308024f8a54ccb9a2cc38ac9fa813bf4348434e3d54f337ff9", size = 123158, upload-time = "2026-03-09T13:13:23.127Z" },
+    { url = "https://files.pythonhosted.org/packages/bf/d9/405320f8077e8e1c5c4bd6adc45e1e6edf6d727b6da7f2e2533cf58bff71/kiwisolver-1.5.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:72ec46b7eba5b395e0a7b63025490d3214c11013f4aacb4f5e8d6c3041829588", size = 66388, upload-time = "2026-03-09T13:13:24.765Z" },
+    { url = "https://files.pythonhosted.org/packages/99/9f/795fedf35634f746151ca8839d05681ceb6287fbed6cc1c9bf235f7887c2/kiwisolver-1.5.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ed3a984b31da7481b103f68776f7128a89ef26ed40f4dc41a2223cda7fb24819", size = 64068, upload-time = "2026-03-09T13:13:25.878Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/13/680c54afe3e65767bed7ec1a15571e1a2f1257128733851ade24abcefbcc/kiwisolver-1.5.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bb5136fb5352d3f422df33f0c879a1b0c204004324150cc3b5e3c4f310c9049f", size = 1477934, upload-time = "2026-03-09T13:13:27.166Z" },
+    { url = "https://files.pythonhosted.org/packages/c8/2f/cebfcdb60fd6a9b0f6b47a9337198bcbad6fbe15e68189b7011fd914911f/kiwisolver-1.5.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b2af221f268f5af85e776a73d62b0845fc8baf8ef0abfae79d29c77d0e776aaf", size = 1278537, upload-time = "2026-03-09T13:13:28.707Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/0d/9b782923aada3fafb1d6b84e13121954515c669b18af0c26e7d21f579855/kiwisolver-1.5.0-cp312-cp312-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b0f172dc8ffaccb8522d7c5d899de00133f2f1ca7b0a49b7da98e901de87bf2d", size = 1296685, upload-time = "2026-03-09T13:13:30.528Z" },
+    { url = "https://files.pythonhosted.org/packages/27/70/83241b6634b04fe44e892688d5208332bde130f38e610c0418f9ede47ded/kiwisolver-1.5.0-cp312-cp312-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:6ab8ba9152203feec73758dad83af9a0bbe05001eb4639e547207c40cfb52083", size = 1346024, upload-time = "2026-03-09T13:13:32.818Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/db/30ed226fb271ae1a6431fc0fe0edffb2efe23cadb01e798caeb9f2ceae8f/kiwisolver-1.5.0-cp312-cp312-manylinux_2_39_riscv64.whl", hash = "sha256:cdee07c4d7f6d72008d3f73b9bf027f4e11550224c7c50d8df1ae4a37c1402a6", size = 987241, upload-time = "2026-03-09T13:13:34.435Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/bd/c314595208e4c9587652d50959ead9e461995389664e490f4dce7ff0f782/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:7c60d3c9b06fb23bd9c6139281ccbdc384297579ae037f08ae90c69f6845c0b1", size = 2227742, upload-time = "2026-03-09T13:13:36.4Z" },
+    { url = "https://files.pythonhosted.org/packages/c1/43/0499cec932d935229b5543d073c2b87c9c22846aab48881e9d8d6e742a2d/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:e315e5ec90d88e140f57696ff85b484ff68bb311e36f2c414aa4286293e6dee0", size = 2323966, upload-time = "2026-03-09T13:13:38.204Z" },
+    { url = "https://files.pythonhosted.org/packages/3d/6f/79b0d760907965acfd9d61826a3d41f8f093c538f55cd2633d3f0db269f6/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:1465387ac63576c3e125e5337a6892b9e99e0627d52317f3ca79e6930d889d15", size = 1977417, upload-time = "2026-03-09T13:13:39.966Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/31/01d0537c41cb75a551a438c3c7a80d0c60d60b81f694dac83dd436aec0d0/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:530a3fd64c87cffa844d4b6b9768774763d9caa299e9b75d8eca6a4423b31314", size = 2491238, upload-time = "2026-03-09T13:13:41.698Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/34/8aefdd0be9cfd00a44509251ba864f5caf2991e36772e61c408007e7f417/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:1d9daea4ea6b9be74fe2f01f7fbade8d6ffab263e781274cffca0dba9be9eec9", size = 2294947, upload-time = "2026-03-09T13:13:43.343Z" },
+    { url = "https://files.pythonhosted.org/packages/ad/cf/0348374369ca588f8fe9c338fae49fa4e16eeb10ffb3d012f23a54578a9e/kiwisolver-1.5.0-cp312-cp312-win_amd64.whl", hash = "sha256:f18c2d9782259a6dc132fdc7a63c168cbc74b35284b6d75c673958982a378384", size = 73569, upload-time = "2026-03-09T13:13:45.792Z" },
+    { url = "https://files.pythonhosted.org/packages/28/26/192b26196e2316e2bd29deef67e37cdf9870d9af8e085e521afff0fed526/kiwisolver-1.5.0-cp312-cp312-win_arm64.whl", hash = "sha256:f7c7553b13f69c1b29a5bde08ddc6d9d0c8bfb84f9ed01c30db25944aeb852a7", size = 64997, upload-time = "2026-03-09T13:13:46.878Z" },
+    { url = "https://files.pythonhosted.org/packages/9d/69/024d6711d5ba575aa65d5538042e99964104e97fa153a9f10bc369182bc2/kiwisolver-1.5.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:fd40bb9cd0891c4c3cb1ddf83f8bbfa15731a248fdc8162669405451e2724b09", size = 123166, upload-time = "2026-03-09T13:13:48.032Z" },
+    { url = "https://files.pythonhosted.org/packages/ce/48/adbb40df306f587054a348831220812b9b1d787aff714cfbc8556e38fccd/kiwisolver-1.5.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:c0e1403fd7c26d77c1f03e096dc58a5c726503fa0db0456678b8668f76f521e3", size = 66395, upload-time = "2026-03-09T13:13:49.365Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/3a/d0a972b34e1c63e2409413104216cd1caa02c5a37cb668d1687d466c1c45/kiwisolver-1.5.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:dda366d548e89a90d88a86c692377d18d8bd64b39c1fb2b92cb31370e2896bbd", size = 64065, upload-time = "2026-03-09T13:13:50.562Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/0a/7b98e1e119878a27ba8618ca1e18b14f992ff1eda40f47bccccf4de44121/kiwisolver-1.5.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:332b4f0145c30b5f5ad9374881133e5aa64320428a57c2c2b61e9d891a51c2f3", size = 1477903, upload-time = "2026-03-09T13:13:52.084Z" },
+    { url = "https://files.pythonhosted.org/packages/18/d8/55638d89ffd27799d5cc3d8aa28e12f4ce7a64d67b285114dbedc8ea4136/kiwisolver-1.5.0-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0c50b89ffd3e1a911c69a1dd3de7173c0cd10b130f56222e57898683841e4f96", size = 1278751, upload-time = "2026-03-09T13:13:54.673Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/97/b4c8d0d18421ecceba20ad8701358453b88e32414e6f6950b5a4bad54e65/kiwisolver-1.5.0-cp313-cp313-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:4db576bb8c3ef9365f8b40fe0f671644de6736ae2c27a2c62d7d8a1b4329f099", size = 1296793, upload-time = "2026-03-09T13:13:56.287Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/10/f862f94b6389d8957448ec9df59450b81bec4abb318805375c401a1e6892/kiwisolver-1.5.0-cp313-cp313-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:0b85aad90cea8ac6797a53b5d5f2e967334fa4d1149f031c4537569972596cb8", size = 1346041, upload-time = "2026-03-09T13:13:58.269Z" },
+    { url = "https://files.pythonhosted.org/packages/a3/6a/f1650af35821eaf09de398ec0bc2aefc8f211f0cda50204c9f1673741ba9/kiwisolver-1.5.0-cp313-cp313-manylinux_2_39_riscv64.whl", hash = "sha256:d36ca54cb4c6c4686f7cbb7b817f66f5911c12ddb519450bbe86707155028f87", size = 987292, upload-time = "2026-03-09T13:13:59.871Z" },
+    { url = "https://files.pythonhosted.org/packages/de/19/d7fb82984b9238115fe629c915007be608ebd23dc8629703d917dbfaffd4/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:38f4a703656f493b0ad185211ccfca7f0386120f022066b018eb5296d8613e23", size = 2227865, upload-time = "2026-03-09T13:14:01.401Z" },
+    { url = "https://files.pythonhosted.org/packages/7f/b9/46b7f386589fd222dac9e9de9c956ce5bcefe2ee73b4e79891381dda8654/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:3ac2360e93cb41be81121755c6462cff3beaa9967188c866e5fce5cf13170859", size = 2324369, upload-time = "2026-03-09T13:14:02.972Z" },
+    { url = "https://files.pythonhosted.org/packages/92/8b/95e237cf3d9c642960153c769ddcbe278f182c8affb20cecc1cc983e7cc5/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:c95cab08d1965db3d84a121f1c7ce7479bdd4072c9b3dafd8fecce48a2e6b902", size = 1977989, upload-time = "2026-03-09T13:14:04.503Z" },
+    { url = "https://files.pythonhosted.org/packages/1b/95/980c9df53501892784997820136c01f62bc1865e31b82b9560f980c0e649/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:fc20894c3d21194d8041a28b65622d5b86db786da6e3cfe73f0c762951a61167", size = 2491645, upload-time = "2026-03-09T13:14:06.106Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/32/900647fd0840abebe1561792c6b31e6a7c0e278fc3973d30572a965ca14c/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:7a32f72973f0f950c1920475d5c5ea3d971b81b6f0ec53b8d0a956cc965f22e0", size = 2295237, upload-time = "2026-03-09T13:14:08.891Z" },
+    { url = "https://files.pythonhosted.org/packages/be/8a/be60e3bbcf513cc5a50f4a3e88e1dcecebb79c1ad607a7222877becaa101/kiwisolver-1.5.0-cp313-cp313-win_amd64.whl", hash = "sha256:0bf3acf1419fa93064a4c2189ac0b58e3be7872bf6ee6177b0d4c63dc4cea276", size = 73573, upload-time = "2026-03-09T13:14:12.327Z" },
+    { url = "https://files.pythonhosted.org/packages/4d/d2/64be2e429eb4fca7f7e1c52a91b12663aeaf25de3895e5cca0f47ef2a8d0/kiwisolver-1.5.0-cp313-cp313-win_arm64.whl", hash = "sha256:fa8eb9ecdb7efb0b226acec134e0d709e87a909fa4971a54c0c4f6e88635484c", size = 64998, upload-time = "2026-03-09T13:14:13.469Z" },
+    { url = "https://files.pythonhosted.org/packages/b0/69/ce68dd0c85755ae2de490bf015b62f2cea5f6b14ff00a463f9d0774449ff/kiwisolver-1.5.0-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:db485b3847d182b908b483b2ed133c66d88d49cacf98fd278fadafe11b4478d1", size = 125700, upload-time = "2026-03-09T13:14:14.636Z" },
+    { url = "https://files.pythonhosted.org/packages/74/aa/937aac021cf9d4349990d47eb319309a51355ed1dbdc9c077cdc9224cb11/kiwisolver-1.5.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:be12f931839a3bdfe28b584db0e640a65a8bcbc24560ae3fdb025a449b3d754e", size = 67537, upload-time = "2026-03-09T13:14:15.808Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/20/3a87fbece2c40ad0f6f0aefa93542559159c5f99831d596050e8afae7a9f/kiwisolver-1.5.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:16b85d37c2cbb3253226d26e64663f755d88a03439a9c47df6246b35defbdfb7", size = 65514, upload-time = "2026-03-09T13:14:18.035Z" },
+    { url = "https://files.pythonhosted.org/packages/f0/7f/f943879cda9007c45e1f7dba216d705c3a18d6b35830e488b6c6a4e7cdf0/kiwisolver-1.5.0-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4432b835675f0ea7414aab3d37d119f7226d24869b7a829caeab49ebda407b0c", size = 1584848, upload-time = "2026-03-09T13:14:19.745Z" },
+    { url = "https://files.pythonhosted.org/packages/37/f8/4d4f85cc1870c127c88d950913370dd76138482161cd07eabbc450deff01/kiwisolver-1.5.0-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1b0feb50971481a2cc44d94e88bdb02cdd497618252ae226b8eb1201b957e368", size = 1391542, upload-time = "2026-03-09T13:14:21.54Z" },
+    { url = "https://files.pythonhosted.org/packages/04/0b/65dd2916c84d252b244bd405303220f729e7c17c9d7d33dca6feeff9ffc4/kiwisolver-1.5.0-cp313-cp313t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:56fa888f10d0f367155e76ce849fa1166fc9730d13bd2d65a2aa13b6f5424489", size = 1404447, upload-time = "2026-03-09T13:14:23.205Z" },
+    { url = "https://files.pythonhosted.org/packages/39/5c/2606a373247babce9b1d056c03a04b65f3cf5290a8eac5d7bdead0a17e21/kiwisolver-1.5.0-cp313-cp313t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:940dda65d5e764406b9fb92761cbf462e4e63f712ab60ed98f70552e496f3bf1", size = 1455918, upload-time = "2026-03-09T13:14:24.74Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/d1/c6078b5756670658e9192a2ef11e939c92918833d2745f85cd14a6004bdf/kiwisolver-1.5.0-cp313-cp313t-manylinux_2_39_riscv64.whl", hash = "sha256:89fc958c702ee9a745e4700378f5d23fddbc46ff89e8fdbf5395c24d5c1452a3", size = 1072856, upload-time = "2026-03-09T13:14:26.597Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/c8/7def6ddf16eb2b3741d8b172bdaa9af882b03c78e9b0772975408801fa63/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9027d773c4ff81487181a925945743413f6069634d0b122d0b37684ccf4f1e18", size = 2333580, upload-time = "2026-03-09T13:14:28.237Z" },
+    { url = "https://files.pythonhosted.org/packages/9e/87/2ac1fce0eb1e616fcd3c35caa23e665e9b1948bb984f4764790924594128/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:5b233ea3e165e43e35dba1d2b8ecc21cf070b45b65ae17dd2747d2713d942021", size = 2423018, upload-time = "2026-03-09T13:14:30.018Z" },
+    { url = "https://files.pythonhosted.org/packages/67/13/c6700ccc6cc218716bfcda4935e4b2997039869b4ad8a94f364c5a3b8e63/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_riscv64.whl", hash = "sha256:ce9bf03dad3b46408c08649c6fbd6ca28a9fce0eb32fdfffa6775a13103b5310", size = 2062804, upload-time = "2026-03-09T13:14:32.888Z" },
+    { url = "https://files.pythonhosted.org/packages/1b/bd/877056304626943ff0f1f44c08f584300c199b887cb3176cd7e34f1515f1/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:fc4d3f1fb9ca0ae9f97b095963bc6326f1dbfd3779d6679a1e016b9baaa153d3", size = 2597482, upload-time = "2026-03-09T13:14:34.971Z" },
+    { url = "https://files.pythonhosted.org/packages/75/19/c60626c47bf0f8ac5dcf72c6c98e266d714f2fbbfd50cf6dab5ede3aaa50/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:f443b4825c50a51ee68585522ab4a1d1257fac65896f282b4c6763337ac9f5d2", size = 2394328, upload-time = "2026-03-09T13:14:36.816Z" },
+    { url = "https://files.pythonhosted.org/packages/47/84/6a6d5e5bb8273756c27b7d810d47f7ef2f1f9b9fd23c9ee9a3f8c75c9cef/kiwisolver-1.5.0-cp313-cp313t-win_arm64.whl", hash = "sha256:893ff3a711d1b515ba9da14ee090519bad4610ed1962fbe298a434e8c5f8db53", size = 68410, upload-time = "2026-03-09T13:14:38.695Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/d7/060f45052f2a01ad5762c8fdecd6d7a752b43400dc29ff75cd47225a40fd/kiwisolver-1.5.0-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:8df31fe574b8b3993cc61764f40941111b25c2d9fea13d3ce24a49907cd2d615", size = 123231, upload-time = "2026-03-09T13:14:41.323Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/a7/78da680eadd06ff35edef6ef68a1ad273bad3e2a0936c9a885103230aece/kiwisolver-1.5.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:1d49a49ac4cbfb7c1375301cd1ec90169dfeae55ff84710d782260ce77a75a02", size = 66489, upload-time = "2026-03-09T13:14:42.534Z" },
+    { url = "https://files.pythonhosted.org/packages/49/b2/97980f3ad4fae37dd7fe31626e2bf75fbf8bdf5d303950ec1fab39a12da8/kiwisolver-1.5.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:0cbe94b69b819209a62cb27bdfa5dc2a8977d8de2f89dfd97ba4f53ed3af754e", size = 64063, upload-time = "2026-03-09T13:14:44.759Z" },
+    { url = "https://files.pythonhosted.org/packages/e7/f9/b06c934a6aa8bc91f566bd2a214fd04c30506c2d9e2b6b171953216a65b6/kiwisolver-1.5.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:80aa065ffd378ff784822a6d7c3212f2d5f5e9c3589614b5c228b311fd3063ac", size = 1475913, upload-time = "2026-03-09T13:14:46.247Z" },
+    { url = "https://files.pythonhosted.org/packages/6b/f0/f768ae564a710135630672981231320bc403cf9152b5596ec5289de0f106/kiwisolver-1.5.0-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4e7f886f47ab881692f278ae901039a234e4025a68e6dfab514263a0b1c4ae05", size = 1282782, upload-time = "2026-03-09T13:14:48.458Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/9f/1de7aad00697325f05238a5f2eafbd487fb637cc27a558b5367a5f37fb7f/kiwisolver-1.5.0-cp314-cp314-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:5060731cc3ed12ca3a8b57acd4aeca5bbc2f49216dd0bec1650a1acd89486bcd", size = 1300815, upload-time = "2026-03-09T13:14:50.721Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/c2/297f25141d2e468e0ce7f7a7b92e0cf8918143a0cbd3422c1ad627e85a06/kiwisolver-1.5.0-cp314-cp314-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:7a4aa69609f40fce3cbc3f87b2061f042eee32f94b8f11db707b66a26461591a", size = 1347925, upload-time = "2026-03-09T13:14:52.304Z" },
+    { url = "https://files.pythonhosted.org/packages/b9/d3/f4c73a02eb41520c47610207b21afa8cdd18fdbf64ffd94674ae21c4812d/kiwisolver-1.5.0-cp314-cp314-manylinux_2_39_riscv64.whl", hash = "sha256:d168fda2dbff7b9b5f38e693182d792a938c31db4dac3a80a4888de603c99554", size = 991322, upload-time = "2026-03-09T13:14:54.637Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/46/d3f2efef7732fcda98d22bf4ad5d3d71d545167a852ca710a494f4c15343/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:413b820229730d358efd838ecbab79902fe97094565fdc80ddb6b0a18c18a581", size = 2232857, upload-time = "2026-03-09T13:14:56.471Z" },
+    { url = "https://files.pythonhosted.org/packages/3f/ec/2d9756bf2b6d26ae4349b8d3662fb3993f16d80c1f971c179ce862b9dbae/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:5124d1ea754509b09e53738ec185584cc609aae4a3b510aaf4ed6aa047ef9303", size = 2329376, upload-time = "2026-03-09T13:14:58.072Z" },
+    { url = "https://files.pythonhosted.org/packages/8f/9f/876a0a0f2260f1bde92e002b3019a5fabc35e0939c7d945e0fa66185eb20/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:e4415a8db000bf49a6dd1c478bf70062eaacff0f462b92b0ba68791a905861f9", size = 1982549, upload-time = "2026-03-09T13:14:59.668Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/4f/ba3624dfac23a64d54ac4179832860cb537c1b0af06024936e82ca4154a0/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:d618fd27420381a4f6044faa71f46d8bfd911bd077c555f7138ed88729bfbe79", size = 2494680, upload-time = "2026-03-09T13:15:01.364Z" },
+    { url = "https://files.pythonhosted.org/packages/39/b7/97716b190ab98911b20d10bf92eca469121ec483b8ce0edd314f51bc85af/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:5092eb5b1172947f57d6ea7d89b2f29650414e4293c47707eb499ec07a0ac796", size = 2297905, upload-time = "2026-03-09T13:15:03.925Z" },
+    { url = "https://files.pythonhosted.org/packages/a3/36/4e551e8aa55c9188bca9abb5096805edbf7431072b76e2298e34fd3a3008/kiwisolver-1.5.0-cp314-cp314-win_amd64.whl", hash = "sha256:d76e2d8c75051d58177e762164d2e9ab92886534e3a12e795f103524f221dd8e", size = 75086, upload-time = "2026-03-09T13:15:07.775Z" },
+    { url = "https://files.pythonhosted.org/packages/70/15/9b90f7df0e31a003c71649cf66ef61c3c1b862f48c81007fa2383c8bd8d7/kiwisolver-1.5.0-cp314-cp314-win_arm64.whl", hash = "sha256:fa6248cd194edff41d7ea9425ced8ca3a6f838bfb295f6f1d6e6bb694a8518df", size = 66577, upload-time = "2026-03-09T13:15:09.139Z" },
+    { url = "https://files.pythonhosted.org/packages/17/01/7dc8c5443ff42b38e72731643ed7cf1ed9bf01691ae5cdca98501999ed83/kiwisolver-1.5.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:d1ffeb80b5676463d7a7d56acbe8e37a20ce725570e09549fe738e02ca6b7e1e", size = 125794, upload-time = "2026-03-09T13:15:10.525Z" },
+    { url = "https://files.pythonhosted.org/packages/46/8a/b4ebe46ebaac6a303417fab10c2e165c557ddaff558f9699d302b256bc53/kiwisolver-1.5.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:bc4d8e252f532ab46a1de9349e2d27b91fce46736a9eedaa37beaca66f574ed4", size = 67646, upload-time = "2026-03-09T13:15:12.016Z" },
+    { url = "https://files.pythonhosted.org/packages/60/35/10a844afc5f19d6f567359bf4789e26661755a2f36200d5d1ed8ad0126e5/kiwisolver-1.5.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:6783e069732715ad0c3ce96dbf21dbc2235ab0593f2baf6338101f70371f4028", size = 65511, upload-time = "2026-03-09T13:15:13.311Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/8a/685b297052dd041dcebce8e8787b58923b6e78acc6115a0dc9189011c44b/kiwisolver-1.5.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e7c4c09a490dc4d4a7f8cbee56c606a320f9dc28cf92a7157a39d1ce7676a657", size = 1584858, upload-time = "2026-03-09T13:15:15.103Z" },
+    { url = "https://files.pythonhosted.org/packages/9e/80/04865e3d4638ac5bddec28908916df4a3075b8c6cc101786a96803188b96/kiwisolver-1.5.0-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2a075bd7bd19c70cf67c8badfa36cf7c5d8de3c9ddb8420c51e10d9c50e94920", size = 1392539, upload-time = "2026-03-09T13:15:16.661Z" },
+    { url = "https://files.pythonhosted.org/packages/ba/01/77a19cacc0893fa13fafa46d1bba06fb4dc2360b3292baf4b56d8e067b24/kiwisolver-1.5.0-cp314-cp314t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:bdd3e53429ff02aa319ba59dfe4ceeec345bf46cf180ec2cf6fd5b942e7975e9", size = 1405310, upload-time = "2026-03-09T13:15:18.229Z" },
+    { url = "https://files.pythonhosted.org/packages/53/39/bcaf5d0cca50e604cfa9b4e3ae1d64b50ca1ae5b754122396084599ef903/kiwisolver-1.5.0-cp314-cp314t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:3cdcb35dc9d807259c981a85531048ede628eabcffb3239adf3d17463518992d", size = 1456244, upload-time = "2026-03-09T13:15:20.444Z" },
+    { url = "https://files.pythonhosted.org/packages/d0/7a/72c187abc6975f6978c3e39b7cf67aeb8b3c0a8f9790aa7fd412855e9e1f/kiwisolver-1.5.0-cp314-cp314t-manylinux_2_39_riscv64.whl", hash = "sha256:70d593af6a6ca332d1df73d519fddb5148edb15cd90d5f0155e3746a6d4fcc65", size = 1073154, upload-time = "2026-03-09T13:15:22.039Z" },
+    { url = "https://files.pythonhosted.org/packages/c7/ca/cf5b25783ebbd59143b4371ed0c8428a278abe68d6d0104b01865b1bbd0f/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:377815a8616074cabbf3f53354e1d040c35815a134e01d7614b7692e4bf8acfa", size = 2334377, upload-time = "2026-03-09T13:15:23.741Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/e5/b1f492adc516796e88751282276745340e2a72dcd0d36cf7173e0daf3210/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_ppc64le.whl", hash = "sha256:0255a027391d52944eae1dbb5d4cc5903f57092f3674e8e544cdd2622826b3f0", size = 2425288, upload-time = "2026-03-09T13:15:25.789Z" },
+    { url = "https://files.pythonhosted.org/packages/e6/e5/9b21fbe91a61b8f409d74a26498706e97a48008bfcd1864373d32a6ba31c/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:012b1eb16e28718fa782b5e61dc6f2da1f0792ca73bd05d54de6cb9561665fc9", size = 2063158, upload-time = "2026-03-09T13:15:27.63Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/02/83f47986138310f95ea95531f851b2a62227c11cbc3e690ae1374fe49f0f/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_s390x.whl", hash = "sha256:0e3aafb33aed7479377e5e9a82e9d4bf87063741fc99fc7ae48b0f16e32bdd6f", size = 2597260, upload-time = "2026-03-09T13:15:29.421Z" },
+    { url = "https://files.pythonhosted.org/packages/07/18/43a5f24608d8c313dd189cf838c8e68d75b115567c6279de7796197cfb6a/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:e7a116ae737f0000343218c4edf5bd45893bfeaff0993c0b215d7124c9f77646", size = 2394403, upload-time = "2026-03-09T13:15:31.517Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/b5/98222136d839b8afabcaa943b09bd05888c2d36355b7e448550211d1fca4/kiwisolver-1.5.0-cp314-cp314t-win_amd64.whl", hash = "sha256:1dd9b0b119a350976a6d781e7278ec7aca0b201e1a9e2d23d9804afecb6ca681", size = 79687, upload-time = "2026-03-09T13:15:33.204Z" },
+    { url = "https://files.pythonhosted.org/packages/99/a2/ca7dc962848040befed12732dff6acae7fb3c4f6fc4272b3f6c9a30b8713/kiwisolver-1.5.0-cp314-cp314t-win_arm64.whl", hash = "sha256:58f812017cd2985c21fbffb4864d59174d4903dd66fa23815e74bbc7a0e2dd57", size = 70032, upload-time = "2026-03-09T13:15:34.411Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/fa/2910df836372d8761bb6eff7d8bdcb1613b5c2e03f260efe7abe34d388a7/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-macosx_10_13_x86_64.whl", hash = "sha256:5ae8e62c147495b01a0f4765c878e9bfdf843412446a247e28df59936e99e797", size = 130262, upload-time = "2026-03-09T13:15:35.629Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/41/c5f71f9f00aabcc71fee8b7475e3f64747282580c2fe748961ba29b18385/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-macosx_11_0_arm64.whl", hash = "sha256:f6764a4ccab3078db14a632420930f6186058750df066b8ea2a7106df91d3203", size = 138036, upload-time = "2026-03-09T13:15:36.894Z" },
+    { url = "https://files.pythonhosted.org/packages/fa/06/7399a607f434119c6e1fdc8ec89a8d51ccccadf3341dee4ead6bd14caaf5/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c31c13da98624f957b0fb1b5bae5383b2333c2c3f6793d9825dd5ce79b525cb7", size = 194295, upload-time = "2026-03-09T13:15:38.22Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/91/53255615acd2a1eaca307ede3c90eb550bae9c94581f8c00081b6b1c8f44/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-win_amd64.whl", hash = "sha256:1f1489f769582498610e015a8ef2d36f28f505ab3096d0e16b4858a9ec214f57", size = 75987, upload-time = "2026-03-09T13:15:39.65Z" },
+    { url = "https://files.pythonhosted.org/packages/e9/eb/5fcbbbf9a0e2c3a35effb88831a483345326bbc3a030a3b5b69aee647f84/kiwisolver-1.5.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:ec4c85dc4b687c7f7f15f553ff26a98bfe8c58f5f7f0ac8905f0ba4c7be60232", size = 59532, upload-time = "2026-03-09T13:15:47.047Z" },
+    { url = "https://files.pythonhosted.org/packages/c3/9b/e17104555bb4db148fd52327feea1e96be4b88e8e008b029002c281a21ab/kiwisolver-1.5.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:12e91c215a96e39f57989c8912ae761286ac5a9584d04030ceb3368a357f017a", size = 57420, upload-time = "2026-03-09T13:15:48.199Z" },
+    { url = "https://files.pythonhosted.org/packages/48/44/2b5b95b7aa39fb2d8d9d956e0f3d5d45aef2ae1d942d4c3ffac2f9cfed1a/kiwisolver-1.5.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:be4a51a55833dc29ab5d7503e7bcb3b3af3402d266018137127450005cdfe737", size = 79892, upload-time = "2026-03-09T13:15:49.694Z" },
+    { url = "https://files.pythonhosted.org/packages/52/7d/7157f9bba6b455cfb4632ed411e199fc8b8977642c2b12082e1bd9e6d173/kiwisolver-1.5.0-pp311-pypy311_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:daae526907e262de627d8f70058a0f64acc9e2641c164c99c8f594b34a799a16", size = 77603, upload-time = "2026-03-09T13:15:50.945Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/dd/8050c947d435c8d4bc94e3252f4d8bb8a76cfb424f043a8680be637a57f1/kiwisolver-1.5.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:59cd8683f575d96df5bb48f6add94afc055012c29e28124fcae2b63661b9efb1", size = 73558, upload-time = "2026-03-09T13:15:52.112Z" },
+]
+
+[[package]]
+name = "lark"
+version = "1.3.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/da/34/28fff3ab31ccff1fd4f6c7c7b0ceb2b6968d8ea4950663eadcb5720591a0/lark-1.3.1.tar.gz", hash = "sha256:b426a7a6d6d53189d318f2b6236ab5d6429eaf09259f1ca33eb716eed10d2905", size = 382732, upload-time = "2025-10-27T18:25:56.653Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/82/3d/14ce75ef66813643812f3093ab17e46d3a206942ce7376d31ec2d36229e7/lark-1.3.1-py3-none-any.whl", hash = "sha256:c629b661023a014c37da873b4ff58a817398d12635d3bbb2c5a03be7fe5d1e12", size = 113151, upload-time = "2025-10-27T18:25:54.882Z" },
+]
+
+[[package]]
+name = "lazy-loader"
+version = "0.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "packaging" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/49/ac/21a1f8aa3777f5658576777ea76bfb124b702c520bbe90edf4ae9915eafa/lazy_loader-0.5.tar.gz", hash = "sha256:717f9179a0dbed357012ddad50a5ad3d5e4d9a0b8712680d4e687f5e6e6ed9b3", size = 15294, upload-time = "2026-03-06T15:45:09.054Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/8a/a1/8d812e53a5da1687abb10445275d41a8b13adb781bbf7196ddbcf8d88505/lazy_loader-0.5-py3-none-any.whl", hash = "sha256:ab0ea149e9c554d4ffeeb21105ac60bed7f3b4fd69b1d2360a4add51b170b005", size = 8044, upload-time = "2026-03-06T15:45:07.668Z" },
+]
+
+[[package]]
+name = "linkify-it-py"
+version = "2.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "uc-micro-py" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/2e/c9/06ea13676ef354f0af6169587ae292d3e2406e212876a413bf9eece4eb23/linkify_it_py-2.1.0.tar.gz", hash = "sha256:43360231720999c10e9328dc3691160e27a718e280673d444c38d7d3aaa3b98b", size = 29158, upload-time = "2026-03-01T07:48:47.683Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b4/de/88b3be5c31b22333b3ca2f6ff1de4e863d8fe45aaea7485f591970ec1d3e/linkify_it_py-2.1.0-py3-none-any.whl", hash = "sha256:0d252c1594ecba2ecedc444053db5d3a9b7ec1b0dd929c8f1d74dce89f86c05e", size = 19878, upload-time = "2026-03-01T07:48:46.098Z" },
+]
+
+[[package]]
+name = "livereload"
+version = "2.7.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "tornado" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/43/6e/f2748665839812a9bbe5c75d3f983edbf3ab05fa5cd2f7c2f36fffdf65bd/livereload-2.7.1.tar.gz", hash = "sha256:3d9bf7c05673df06e32bea23b494b8d36ca6d10f7d5c3c8a6989608c09c986a9", size = 22255, upload-time = "2024-12-18T13:42:01.461Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e4/3e/de54dc7f199e85e6ca37e2e5dae2ec3bce2151e9e28f8eb9076d71e83d56/livereload-2.7.1-py3-none-any.whl", hash = "sha256:5201740078c1b9433f4b2ba22cd2729a39b9d0ec0a2cc6b4d3df257df5ad0564", size = 22657, upload-time = "2024-12-18T13:41:56.35Z" },
+]
+
+[[package]]
+name = "llvmlite"
+version = "0.46.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/74/cd/08ae687ba099c7e3d21fe2ea536500563ef1943c5105bf6ab4ee3829f68e/llvmlite-0.46.0.tar.gz", hash = "sha256:227c9fd6d09dce2783c18b754b7cd9d9b3b3515210c46acc2d3c5badd9870ceb", size = 193456, upload-time = "2025-12-08T18:15:36.295Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/7a/a1/2ad4b2367915faeebe8447f0a057861f646dbf5fbbb3561db42c65659cf3/llvmlite-0.46.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:82f3d39b16f19aa1a56d5fe625883a6ab600d5cc9ea8906cca70ce94cabba067", size = 37232766, upload-time = "2025-12-08T18:14:48.836Z" },
+    { url = "https://files.pythonhosted.org/packages/12/b5/99cf8772fdd846c07da4fd70f07812a3c8fd17ea2409522c946bb0f2b277/llvmlite-0.46.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a3df43900119803bbc52720e758c76f316a9a0f34612a886862dfe0a5591a17e", size = 56275175, upload-time = "2025-12-08T18:14:51.604Z" },
+    { url = "https://files.pythonhosted.org/packages/38/f2/ed806f9c003563732da156139c45d970ee435bd0bfa5ed8de87ba972b452/llvmlite-0.46.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:de183fefc8022d21b0aa37fc3e90410bc3524aed8617f0ff76732fc6c3af5361", size = 55128630, upload-time = "2025-12-08T18:14:55.107Z" },
+    { url = "https://files.pythonhosted.org/packages/19/0c/8f5a37a65fc9b7b17408508145edd5f86263ad69c19d3574e818f533a0eb/llvmlite-0.46.0-cp311-cp311-win_amd64.whl", hash = "sha256:e8b10bc585c58bdffec9e0c309bb7d51be1f2f15e169a4b4d42f2389e431eb93", size = 38138652, upload-time = "2025-12-08T18:14:58.171Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/f8/4db016a5e547d4e054ff2f3b99203d63a497465f81ab78ec8eb2ff7b2304/llvmlite-0.46.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6b9588ad4c63b4f0175a3984b85494f0c927c6b001e3a246a3a7fb3920d9a137", size = 37232767, upload-time = "2025-12-08T18:15:00.737Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/85/4890a7c14b4fa54400945cb52ac3cd88545bbdb973c440f98ca41591cdc5/llvmlite-0.46.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3535bd2bb6a2d7ae4012681ac228e5132cdb75fefb1bcb24e33f2f3e0c865ed4", size = 56275176, upload-time = "2025-12-08T18:15:03.936Z" },
+    { url = "https://files.pythonhosted.org/packages/6a/07/3d31d39c1a1a08cd5337e78299fca77e6aebc07c059fbd0033e3edfab45c/llvmlite-0.46.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4cbfd366e60ff87ea6cc62f50bc4cd800ebb13ed4c149466f50cf2163a473d1e", size = 55128630, upload-time = "2025-12-08T18:15:07.196Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/6b/d139535d7590a1bba1ceb68751bef22fadaa5b815bbdf0e858e3875726b2/llvmlite-0.46.0-cp312-cp312-win_amd64.whl", hash = "sha256:398b39db462c39563a97b912d4f2866cd37cba60537975a09679b28fbbc0fb38", size = 38138940, upload-time = "2025-12-08T18:15:10.162Z" },
+    { url = "https://files.pythonhosted.org/packages/e6/ff/3eba7eb0aed4b6fca37125387cd417e8c458e750621fce56d2c541f67fa8/llvmlite-0.46.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:30b60892d034bc560e0ec6654737aaa74e5ca327bd8114d82136aa071d611172", size = 37232767, upload-time = "2025-12-08T18:15:13.22Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/54/737755c0a91558364b9200702c3c9c15d70ed63f9b98a2c32f1c2aa1f3ba/llvmlite-0.46.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6cc19b051753368a9c9f31dc041299059ee91aceec81bd57b0e385e5d5bf1a54", size = 56275176, upload-time = "2025-12-08T18:15:16.339Z" },
+    { url = "https://files.pythonhosted.org/packages/e6/91/14f32e1d70905c1c0aa4e6609ab5d705c3183116ca02ac6df2091868413a/llvmlite-0.46.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bca185892908f9ede48c0acd547fe4dc1bafefb8a4967d47db6cf664f9332d12", size = 55128629, upload-time = "2025-12-08T18:15:19.493Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/a7/d526ae86708cea531935ae777b6dbcabe7db52718e6401e0fb9c5edea80e/llvmlite-0.46.0-cp313-cp313-win_amd64.whl", hash = "sha256:67438fd30e12349ebb054d86a5a1a57fd5e87d264d2451bcfafbbbaa25b82a35", size = 38138941, upload-time = "2025-12-08T18:15:22.536Z" },
+    { url = "https://files.pythonhosted.org/packages/95/ae/af0ffb724814cc2ea64445acad05f71cff5f799bb7efb22e47ee99340dbc/llvmlite-0.46.0-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:d252edfb9f4ac1fcf20652258e3f102b26b03eef738dc8a6ffdab7d7d341d547", size = 37232768, upload-time = "2025-12-08T18:15:25.055Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/19/5018e5352019be753b7b07f7759cdabb69ca5779fea2494be8839270df4c/llvmlite-0.46.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:379fdd1c59badeff8982cb47e4694a6143bec3bb49aa10a466e095410522064d", size = 56275173, upload-time = "2025-12-08T18:15:28.109Z" },
+    { url = "https://files.pythonhosted.org/packages/9f/c9/d57877759d707e84c082163c543853245f91b70c804115a5010532890f18/llvmlite-0.46.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2e8cbfff7f6db0fa2c771ad24154e2a7e457c2444d7673e6de06b8b698c3b269", size = 55128628, upload-time = "2025-12-08T18:15:31.098Z" },
+    { url = "https://files.pythonhosted.org/packages/30/a8/e61a8c2b3cc7a597073d9cde1fcbb567e9d827f1db30c93cf80422eac70d/llvmlite-0.46.0-cp314-cp314-win_amd64.whl", hash = "sha256:7821eda3ec1f18050f981819756631d60b6d7ab1a6cf806d9efefbe3f4082d61", size = 39153056, upload-time = "2025-12-08T18:15:33.938Z" },
+]
+
+[[package]]
+name = "markdown"
+version = "3.10.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/2b/f4/69fa6ed85ae003c2378ffa8f6d2e3234662abd02c10d216c0ba96081a238/markdown-3.10.2.tar.gz", hash = "sha256:994d51325d25ad8aa7ce4ebaec003febcce822c3f8c911e3b17c52f7f589f950", size = 368805, upload-time = "2026-02-09T14:57:26.942Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/de/1f/77fa3081e4f66ca3576c896ae5d31c3002ac6607f9747d2e3aa49227e464/markdown-3.10.2-py3-none-any.whl", hash = "sha256:e91464b71ae3ee7afd3017d9f358ef0baf158fd9a298db92f1d4761133824c36", size = 108180, upload-time = "2026-02-09T14:57:25.787Z" },
+]
+
+[[package]]
+name = "markdown-it-py"
+version = "4.0.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "mdurl" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/5b/f5/4ec618ed16cc4f8fb3b701563655a69816155e79e24a17b651541804721d/markdown_it_py-4.0.0.tar.gz", hash = "sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3", size = 73070, upload-time = "2025-08-11T12:57:52.854Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/94/54/e7d793b573f298e1c9013b8c4dade17d481164aa517d1d7148619c2cedbf/markdown_it_py-4.0.0-py3-none-any.whl", hash = "sha256:87327c59b172c5011896038353a81343b6754500a08cd7a4973bb48c6d578147", size = 87321, upload-time = "2025-08-11T12:57:51.923Z" },
+]
+
+[[package]]
+name = "markupsafe"
+version = "3.0.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/7e/99/7690b6d4034fffd95959cbe0c02de8deb3098cc577c67bb6a24fe5d7caa7/markupsafe-3.0.3.tar.gz", hash = "sha256:722695808f4b6457b320fdc131280796bdceb04ab50fe1795cd540799ebe1698", size = 80313, upload-time = "2025-09-27T18:37:40.426Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/08/db/fefacb2136439fc8dd20e797950e749aa1f4997ed584c62cfb8ef7c2be0e/markupsafe-3.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1cc7ea17a6824959616c525620e387f6dd30fec8cb44f649e31712db02123dad", size = 11631, upload-time = "2025-09-27T18:36:18.185Z" },
+    { url = "https://files.pythonhosted.org/packages/e1/2e/5898933336b61975ce9dc04decbc0a7f2fee78c30353c5efba7f2d6ff27a/markupsafe-3.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4bd4cd07944443f5a265608cc6aab442e4f74dff8088b0dfc8238647b8f6ae9a", size = 12058, upload-time = "2025-09-27T18:36:19.444Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/09/adf2df3699d87d1d8184038df46a9c80d78c0148492323f4693df54e17bb/markupsafe-3.0.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6b5420a1d9450023228968e7e6a9ce57f65d148ab56d2313fcd589eee96a7a50", size = 24287, upload-time = "2025-09-27T18:36:20.768Z" },
+    { url = "https://files.pythonhosted.org/packages/30/ac/0273f6fcb5f42e314c6d8cd99effae6a5354604d461b8d392b5ec9530a54/markupsafe-3.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0bf2a864d67e76e5c9a34dc26ec616a66b9888e25e7b9460e1c76d3293bd9dbf", size = 22940, upload-time = "2025-09-27T18:36:22.249Z" },
+    { url = "https://files.pythonhosted.org/packages/19/ae/31c1be199ef767124c042c6c3e904da327a2f7f0cd63a0337e1eca2967a8/markupsafe-3.0.3-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:bc51efed119bc9cfdf792cdeaa4d67e8f6fcccab66ed4bfdd6bde3e59bfcbb2f", size = 21887, upload-time = "2025-09-27T18:36:23.535Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/76/7edcab99d5349a4532a459e1fe64f0b0467a3365056ae550d3bcf3f79e1e/markupsafe-3.0.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:068f375c472b3e7acbe2d5318dea141359e6900156b5b2ba06a30b169086b91a", size = 23692, upload-time = "2025-09-27T18:36:24.823Z" },
+    { url = "https://files.pythonhosted.org/packages/a4/28/6e74cdd26d7514849143d69f0bf2399f929c37dc2b31e6829fd2045b2765/markupsafe-3.0.3-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:7be7b61bb172e1ed687f1754f8e7484f1c8019780f6f6b0786e76bb01c2ae115", size = 21471, upload-time = "2025-09-27T18:36:25.95Z" },
+    { url = "https://files.pythonhosted.org/packages/62/7e/a145f36a5c2945673e590850a6f8014318d5577ed7e5920a4b3448e0865d/markupsafe-3.0.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f9e130248f4462aaa8e2552d547f36ddadbeaa573879158d721bbd33dfe4743a", size = 22923, upload-time = "2025-09-27T18:36:27.109Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/62/d9c46a7f5c9adbeeeda52f5b8d802e1094e9717705a645efc71b0913a0a8/markupsafe-3.0.3-cp311-cp311-win32.whl", hash = "sha256:0db14f5dafddbb6d9208827849fad01f1a2609380add406671a26386cdf15a19", size = 14572, upload-time = "2025-09-27T18:36:28.045Z" },
+    { url = "https://files.pythonhosted.org/packages/83/8a/4414c03d3f891739326e1783338e48fb49781cc915b2e0ee052aa490d586/markupsafe-3.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:de8a88e63464af587c950061a5e6a67d3632e36df62b986892331d4620a35c01", size = 15077, upload-time = "2025-09-27T18:36:29.025Z" },
+    { url = "https://files.pythonhosted.org/packages/35/73/893072b42e6862f319b5207adc9ae06070f095b358655f077f69a35601f0/markupsafe-3.0.3-cp311-cp311-win_arm64.whl", hash = "sha256:3b562dd9e9ea93f13d53989d23a7e775fdfd1066c33494ff43f5418bc8c58a5c", size = 13876, upload-time = "2025-09-27T18:36:29.954Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/72/147da192e38635ada20e0a2e1a51cf8823d2119ce8883f7053879c2199b5/markupsafe-3.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d53197da72cc091b024dd97249dfc7794d6a56530370992a5e1a08983ad9230e", size = 11615, upload-time = "2025-09-27T18:36:30.854Z" },
+    { url = "https://files.pythonhosted.org/packages/9a/81/7e4e08678a1f98521201c3079f77db69fb552acd56067661f8c2f534a718/markupsafe-3.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1872df69a4de6aead3491198eaf13810b565bdbeec3ae2dc8780f14458ec73ce", size = 12020, upload-time = "2025-09-27T18:36:31.971Z" },
+    { url = "https://files.pythonhosted.org/packages/1e/2c/799f4742efc39633a1b54a92eec4082e4f815314869865d876824c257c1e/markupsafe-3.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3a7e8ae81ae39e62a41ec302f972ba6ae23a5c5396c8e60113e9066ef893da0d", size = 24332, upload-time = "2025-09-27T18:36:32.813Z" },
+    { url = "https://files.pythonhosted.org/packages/3c/2e/8d0c2ab90a8c1d9a24f0399058ab8519a3279d1bd4289511d74e909f060e/markupsafe-3.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d6dd0be5b5b189d31db7cda48b91d7e0a9795f31430b7f271219ab30f1d3ac9d", size = 22947, upload-time = "2025-09-27T18:36:33.86Z" },
+    { url = "https://files.pythonhosted.org/packages/2c/54/887f3092a85238093a0b2154bd629c89444f395618842e8b0c41783898ea/markupsafe-3.0.3-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:94c6f0bb423f739146aec64595853541634bde58b2135f27f61c1ffd1cd4d16a", size = 21962, upload-time = "2025-09-27T18:36:35.099Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/2f/336b8c7b6f4a4d95e91119dc8521402461b74a485558d8f238a68312f11c/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:be8813b57049a7dc738189df53d69395eba14fb99345e0a5994914a3864c8a4b", size = 23760, upload-time = "2025-09-27T18:36:36.001Z" },
+    { url = "https://files.pythonhosted.org/packages/32/43/67935f2b7e4982ffb50a4d169b724d74b62a3964bc1a9a527f5ac4f1ee2b/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:83891d0e9fb81a825d9a6d61e3f07550ca70a076484292a70fde82c4b807286f", size = 21529, upload-time = "2025-09-27T18:36:36.906Z" },
+    { url = "https://files.pythonhosted.org/packages/89/e0/4486f11e51bbba8b0c041098859e869e304d1c261e59244baa3d295d47b7/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:77f0643abe7495da77fb436f50f8dab76dbc6e5fd25d39589a0f1fe6548bfa2b", size = 23015, upload-time = "2025-09-27T18:36:37.868Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/e1/78ee7a023dac597a5825441ebd17170785a9dab23de95d2c7508ade94e0e/markupsafe-3.0.3-cp312-cp312-win32.whl", hash = "sha256:d88b440e37a16e651bda4c7c2b930eb586fd15ca7406cb39e211fcff3bf3017d", size = 14540, upload-time = "2025-09-27T18:36:38.761Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/5b/bec5aa9bbbb2c946ca2733ef9c4ca91c91b6a24580193e891b5f7dbe8e1e/markupsafe-3.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:26a5784ded40c9e318cfc2bdb30fe164bdb8665ded9cd64d500a34fb42067b1c", size = 15105, upload-time = "2025-09-27T18:36:39.701Z" },
+    { url = "https://files.pythonhosted.org/packages/e5/f1/216fc1bbfd74011693a4fd837e7026152e89c4bcf3e77b6692fba9923123/markupsafe-3.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:35add3b638a5d900e807944a078b51922212fb3dedb01633a8defc4b01a3c85f", size = 13906, upload-time = "2025-09-27T18:36:40.689Z" },
+    { url = "https://files.pythonhosted.org/packages/38/2f/907b9c7bbba283e68f20259574b13d005c121a0fa4c175f9bed27c4597ff/markupsafe-3.0.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e1cf1972137e83c5d4c136c43ced9ac51d0e124706ee1c8aa8532c1287fa8795", size = 11622, upload-time = "2025-09-27T18:36:41.777Z" },
+    { url = "https://files.pythonhosted.org/packages/9c/d9/5f7756922cdd676869eca1c4e3c0cd0df60ed30199ffd775e319089cb3ed/markupsafe-3.0.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:116bb52f642a37c115f517494ea5feb03889e04df47eeff5b130b1808ce7c219", size = 12029, upload-time = "2025-09-27T18:36:43.257Z" },
+    { url = "https://files.pythonhosted.org/packages/00/07/575a68c754943058c78f30db02ee03a64b3c638586fba6a6dd56830b30a3/markupsafe-3.0.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:133a43e73a802c5562be9bbcd03d090aa5a1fe899db609c29e8c8d815c5f6de6", size = 24374, upload-time = "2025-09-27T18:36:44.508Z" },
+    { url = "https://files.pythonhosted.org/packages/a9/21/9b05698b46f218fc0e118e1f8168395c65c8a2c750ae2bab54fc4bd4e0e8/markupsafe-3.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ccfcd093f13f0f0b7fdd0f198b90053bf7b2f02a3927a30e63f3ccc9df56b676", size = 22980, upload-time = "2025-09-27T18:36:45.385Z" },
+    { url = "https://files.pythonhosted.org/packages/7f/71/544260864f893f18b6827315b988c146b559391e6e7e8f7252839b1b846a/markupsafe-3.0.3-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:509fa21c6deb7a7a273d629cf5ec029bc209d1a51178615ddf718f5918992ab9", size = 21990, upload-time = "2025-09-27T18:36:46.916Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/28/b50fc2f74d1ad761af2f5dcce7492648b983d00a65b8c0e0cb457c82ebbe/markupsafe-3.0.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a4afe79fb3de0b7097d81da19090f4df4f8d3a2b3adaa8764138aac2e44f3af1", size = 23784, upload-time = "2025-09-27T18:36:47.884Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/76/104b2aa106a208da8b17a2fb72e033a5a9d7073c68f7e508b94916ed47a9/markupsafe-3.0.3-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:795e7751525cae078558e679d646ae45574b47ed6e7771863fcc079a6171a0fc", size = 21588, upload-time = "2025-09-27T18:36:48.82Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/99/16a5eb2d140087ebd97180d95249b00a03aa87e29cc224056274f2e45fd6/markupsafe-3.0.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8485f406a96febb5140bfeca44a73e3ce5116b2501ac54fe953e488fb1d03b12", size = 23041, upload-time = "2025-09-27T18:36:49.797Z" },
+    { url = "https://files.pythonhosted.org/packages/19/bc/e7140ed90c5d61d77cea142eed9f9c303f4c4806f60a1044c13e3f1471d0/markupsafe-3.0.3-cp313-cp313-win32.whl", hash = "sha256:bdd37121970bfd8be76c5fb069c7751683bdf373db1ed6c010162b2a130248ed", size = 14543, upload-time = "2025-09-27T18:36:51.584Z" },
+    { url = "https://files.pythonhosted.org/packages/05/73/c4abe620b841b6b791f2edc248f556900667a5a1cf023a6646967ae98335/markupsafe-3.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:9a1abfdc021a164803f4d485104931fb8f8c1efd55bc6b748d2f5774e78b62c5", size = 15113, upload-time = "2025-09-27T18:36:52.537Z" },
+    { url = "https://files.pythonhosted.org/packages/f0/3a/fa34a0f7cfef23cf9500d68cb7c32dd64ffd58a12b09225fb03dd37d5b80/markupsafe-3.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:7e68f88e5b8799aa49c85cd116c932a1ac15caaa3f5db09087854d218359e485", size = 13911, upload-time = "2025-09-27T18:36:53.513Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/d7/e05cd7efe43a88a17a37b3ae96e79a19e846f3f456fe79c57ca61356ef01/markupsafe-3.0.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:218551f6df4868a8d527e3062d0fb968682fe92054e89978594c28e642c43a73", size = 11658, upload-time = "2025-09-27T18:36:54.819Z" },
+    { url = "https://files.pythonhosted.org/packages/99/9e/e412117548182ce2148bdeacdda3bb494260c0b0184360fe0d56389b523b/markupsafe-3.0.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3524b778fe5cfb3452a09d31e7b5adefeea8c5be1d43c4f810ba09f2ceb29d37", size = 12066, upload-time = "2025-09-27T18:36:55.714Z" },
+    { url = "https://files.pythonhosted.org/packages/bc/e6/fa0ffcda717ef64a5108eaa7b4f5ed28d56122c9a6d70ab8b72f9f715c80/markupsafe-3.0.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4e885a3d1efa2eadc93c894a21770e4bc67899e3543680313b09f139e149ab19", size = 25639, upload-time = "2025-09-27T18:36:56.908Z" },
+    { url = "https://files.pythonhosted.org/packages/96/ec/2102e881fe9d25fc16cb4b25d5f5cde50970967ffa5dddafdb771237062d/markupsafe-3.0.3-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8709b08f4a89aa7586de0aadc8da56180242ee0ada3999749b183aa23df95025", size = 23569, upload-time = "2025-09-27T18:36:57.913Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/30/6f2fce1f1f205fc9323255b216ca8a235b15860c34b6798f810f05828e32/markupsafe-3.0.3-cp313-cp313t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:b8512a91625c9b3da6f127803b166b629725e68af71f8184ae7e7d54686a56d6", size = 23284, upload-time = "2025-09-27T18:36:58.833Z" },
+    { url = "https://files.pythonhosted.org/packages/58/47/4a0ccea4ab9f5dcb6f79c0236d954acb382202721e704223a8aafa38b5c8/markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9b79b7a16f7fedff2495d684f2b59b0457c3b493778c9eed31111be64d58279f", size = 24801, upload-time = "2025-09-27T18:36:59.739Z" },
+    { url = "https://files.pythonhosted.org/packages/6a/70/3780e9b72180b6fecb83a4814d84c3bf4b4ae4bf0b19c27196104149734c/markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_riscv64.whl", hash = "sha256:12c63dfb4a98206f045aa9563db46507995f7ef6d83b2f68eda65c307c6829eb", size = 22769, upload-time = "2025-09-27T18:37:00.719Z" },
+    { url = "https://files.pythonhosted.org/packages/98/c5/c03c7f4125180fc215220c035beac6b9cb684bc7a067c84fc69414d315f5/markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8f71bc33915be5186016f675cd83a1e08523649b0e33efdb898db577ef5bb009", size = 23642, upload-time = "2025-09-27T18:37:01.673Z" },
+    { url = "https://files.pythonhosted.org/packages/80/d6/2d1b89f6ca4bff1036499b1e29a1d02d282259f3681540e16563f27ebc23/markupsafe-3.0.3-cp313-cp313t-win32.whl", hash = "sha256:69c0b73548bc525c8cb9a251cddf1931d1db4d2258e9599c28c07ef3580ef354", size = 14612, upload-time = "2025-09-27T18:37:02.639Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/98/e48a4bfba0a0ffcf9925fe2d69240bfaa19c6f7507b8cd09c70684a53c1e/markupsafe-3.0.3-cp313-cp313t-win_amd64.whl", hash = "sha256:1b4b79e8ebf6b55351f0d91fe80f893b4743f104bff22e90697db1590e47a218", size = 15200, upload-time = "2025-09-27T18:37:03.582Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/72/e3cc540f351f316e9ed0f092757459afbc595824ca724cbc5a5d4263713f/markupsafe-3.0.3-cp313-cp313t-win_arm64.whl", hash = "sha256:ad2cf8aa28b8c020ab2fc8287b0f823d0a7d8630784c31e9ee5edea20f406287", size = 13973, upload-time = "2025-09-27T18:37:04.929Z" },
+    { url = "https://files.pythonhosted.org/packages/33/8a/8e42d4838cd89b7dde187011e97fe6c3af66d8c044997d2183fbd6d31352/markupsafe-3.0.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:eaa9599de571d72e2daf60164784109f19978b327a3910d3e9de8c97b5b70cfe", size = 11619, upload-time = "2025-09-27T18:37:06.342Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/64/7660f8a4a8e53c924d0fa05dc3a55c9cee10bbd82b11c5afb27d44b096ce/markupsafe-3.0.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c47a551199eb8eb2121d4f0f15ae0f923d31350ab9280078d1e5f12b249e0026", size = 12029, upload-time = "2025-09-27T18:37:07.213Z" },
+    { url = "https://files.pythonhosted.org/packages/da/ef/e648bfd021127bef5fa12e1720ffed0c6cbb8310c8d9bea7266337ff06de/markupsafe-3.0.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f34c41761022dd093b4b6896d4810782ffbabe30f2d443ff5f083e0cbbb8c737", size = 24408, upload-time = "2025-09-27T18:37:09.572Z" },
+    { url = "https://files.pythonhosted.org/packages/41/3c/a36c2450754618e62008bf7435ccb0f88053e07592e6028a34776213d877/markupsafe-3.0.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:457a69a9577064c05a97c41f4e65148652db078a3a509039e64d3467b9e7ef97", size = 23005, upload-time = "2025-09-27T18:37:10.58Z" },
+    { url = "https://files.pythonhosted.org/packages/bc/20/b7fdf89a8456b099837cd1dc21974632a02a999ec9bf7ca3e490aacd98e7/markupsafe-3.0.3-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:e8afc3f2ccfa24215f8cb28dcf43f0113ac3c37c2f0f0806d8c70e4228c5cf4d", size = 22048, upload-time = "2025-09-27T18:37:11.547Z" },
+    { url = "https://files.pythonhosted.org/packages/9a/a7/591f592afdc734f47db08a75793a55d7fbcc6902a723ae4cfbab61010cc5/markupsafe-3.0.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:ec15a59cf5af7be74194f7ab02d0f59a62bdcf1a537677ce67a2537c9b87fcda", size = 23821, upload-time = "2025-09-27T18:37:12.48Z" },
+    { url = "https://files.pythonhosted.org/packages/7d/33/45b24e4f44195b26521bc6f1a82197118f74df348556594bd2262bda1038/markupsafe-3.0.3-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:0eb9ff8191e8498cca014656ae6b8d61f39da5f95b488805da4bb029cccbfbaf", size = 21606, upload-time = "2025-09-27T18:37:13.485Z" },
+    { url = "https://files.pythonhosted.org/packages/ff/0e/53dfaca23a69fbfbbf17a4b64072090e70717344c52eaaaa9c5ddff1e5f0/markupsafe-3.0.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:2713baf880df847f2bece4230d4d094280f4e67b1e813eec43b4c0e144a34ffe", size = 23043, upload-time = "2025-09-27T18:37:14.408Z" },
+    { url = "https://files.pythonhosted.org/packages/46/11/f333a06fc16236d5238bfe74daccbca41459dcd8d1fa952e8fbd5dccfb70/markupsafe-3.0.3-cp314-cp314-win32.whl", hash = "sha256:729586769a26dbceff69f7a7dbbf59ab6572b99d94576a5592625d5b411576b9", size = 14747, upload-time = "2025-09-27T18:37:15.36Z" },
+    { url = "https://files.pythonhosted.org/packages/28/52/182836104b33b444e400b14f797212f720cbc9ed6ba34c800639d154e821/markupsafe-3.0.3-cp314-cp314-win_amd64.whl", hash = "sha256:bdc919ead48f234740ad807933cdf545180bfbe9342c2bb451556db2ed958581", size = 15341, upload-time = "2025-09-27T18:37:16.496Z" },
+    { url = "https://files.pythonhosted.org/packages/6f/18/acf23e91bd94fd7b3031558b1f013adfa21a8e407a3fdb32745538730382/markupsafe-3.0.3-cp314-cp314-win_arm64.whl", hash = "sha256:5a7d5dc5140555cf21a6fefbdbf8723f06fcd2f63ef108f2854de715e4422cb4", size = 14073, upload-time = "2025-09-27T18:37:17.476Z" },
+    { url = "https://files.pythonhosted.org/packages/3c/f0/57689aa4076e1b43b15fdfa646b04653969d50cf30c32a102762be2485da/markupsafe-3.0.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:1353ef0c1b138e1907ae78e2f6c63ff67501122006b0f9abad68fda5f4ffc6ab", size = 11661, upload-time = "2025-09-27T18:37:18.453Z" },
+    { url = "https://files.pythonhosted.org/packages/89/c3/2e67a7ca217c6912985ec766c6393b636fb0c2344443ff9d91404dc4c79f/markupsafe-3.0.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:1085e7fbddd3be5f89cc898938f42c0b3c711fdcb37d75221de2666af647c175", size = 12069, upload-time = "2025-09-27T18:37:19.332Z" },
+    { url = "https://files.pythonhosted.org/packages/f0/00/be561dce4e6ca66b15276e184ce4b8aec61fe83662cce2f7d72bd3249d28/markupsafe-3.0.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1b52b4fb9df4eb9ae465f8d0c228a00624de2334f216f178a995ccdcf82c4634", size = 25670, upload-time = "2025-09-27T18:37:20.245Z" },
+    { url = "https://files.pythonhosted.org/packages/50/09/c419f6f5a92e5fadde27efd190eca90f05e1261b10dbd8cbcb39cd8ea1dc/markupsafe-3.0.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fed51ac40f757d41b7c48425901843666a6677e3e8eb0abcff09e4ba6e664f50", size = 23598, upload-time = "2025-09-27T18:37:21.177Z" },
+    { url = "https://files.pythonhosted.org/packages/22/44/a0681611106e0b2921b3033fc19bc53323e0b50bc70cffdd19f7d679bb66/markupsafe-3.0.3-cp314-cp314t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:f190daf01f13c72eac4efd5c430a8de82489d9cff23c364c3ea822545032993e", size = 23261, upload-time = "2025-09-27T18:37:22.167Z" },
+    { url = "https://files.pythonhosted.org/packages/5f/57/1b0b3f100259dc9fffe780cfb60d4be71375510e435efec3d116b6436d43/markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:e56b7d45a839a697b5eb268c82a71bd8c7f6c94d6fd50c3d577fa39a9f1409f5", size = 24835, upload-time = "2025-09-27T18:37:23.296Z" },
+    { url = "https://files.pythonhosted.org/packages/26/6a/4bf6d0c97c4920f1597cc14dd720705eca0bf7c787aebc6bb4d1bead5388/markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:f3e98bb3798ead92273dc0e5fd0f31ade220f59a266ffd8a4f6065e0a3ce0523", size = 22733, upload-time = "2025-09-27T18:37:24.237Z" },
+    { url = "https://files.pythonhosted.org/packages/14/c7/ca723101509b518797fedc2fdf79ba57f886b4aca8a7d31857ba3ee8281f/markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:5678211cb9333a6468fb8d8be0305520aa073f50d17f089b5b4b477ea6e67fdc", size = 23672, upload-time = "2025-09-27T18:37:25.271Z" },
+    { url = "https://files.pythonhosted.org/packages/fb/df/5bd7a48c256faecd1d36edc13133e51397e41b73bb77e1a69deab746ebac/markupsafe-3.0.3-cp314-cp314t-win32.whl", hash = "sha256:915c04ba3851909ce68ccc2b8e2cd691618c4dc4c4232fb7982bca3f41fd8c3d", size = 14819, upload-time = "2025-09-27T18:37:26.285Z" },
+    { url = "https://files.pythonhosted.org/packages/1a/8a/0402ba61a2f16038b48b39bccca271134be00c5c9f0f623208399333c448/markupsafe-3.0.3-cp314-cp314t-win_amd64.whl", hash = "sha256:4faffd047e07c38848ce017e8725090413cd80cbc23d86e55c587bf979e579c9", size = 15426, upload-time = "2025-09-27T18:37:27.316Z" },
+    { url = "https://files.pythonhosted.org/packages/70/bc/6f1c2f612465f5fa89b95bead1f44dcb607670fd42891d8fdcd5d039f4f4/markupsafe-3.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:32001d6a8fc98c8cb5c947787c5d08b0a50663d139f1305bac5885d98d9b40fa", size = 14146, upload-time = "2025-09-27T18:37:28.327Z" },
+]
+
+[[package]]
+name = "matplotlib"
+version = "3.10.8"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "contourpy" },
+    { name = "cycler" },
+    { name = "fonttools" },
+    { name = "kiwisolver" },
+    { name = "numpy" },
+    { name = "packaging" },
+    { name = "pillow" },
+    { name = "pyparsing" },
+    { name = "python-dateutil" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/8a/76/d3c6e3a13fe484ebe7718d14e269c9569c4eb0020a968a327acb3b9a8fe6/matplotlib-3.10.8.tar.gz", hash = "sha256:2299372c19d56bcd35cf05a2738308758d32b9eaed2371898d8f5bd33f084aa3", size = 34806269, upload-time = "2025-12-10T22:56:51.155Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f8/86/de7e3a1cdcfc941483af70609edc06b83e7c8a0e0dc9ac325200a3f4d220/matplotlib-3.10.8-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:6be43b667360fef5c754dda5d25a32e6307a03c204f3c0fc5468b78fa87b4160", size = 8251215, upload-time = "2025-12-10T22:55:16.175Z" },
+    { url = "https://files.pythonhosted.org/packages/fd/14/baad3222f424b19ce6ad243c71de1ad9ec6b2e4eb1e458a48fdc6d120401/matplotlib-3.10.8-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a2b336e2d91a3d7006864e0990c83b216fcdca64b5a6484912902cef87313d78", size = 8139625, upload-time = "2025-12-10T22:55:17.712Z" },
+    { url = "https://files.pythonhosted.org/packages/8f/a0/7024215e95d456de5883e6732e708d8187d9753a21d32f8ddb3befc0c445/matplotlib-3.10.8-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:efb30e3baaea72ce5928e32bab719ab4770099079d66726a62b11b1ef7273be4", size = 8712614, upload-time = "2025-12-10T22:55:20.8Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/f4/b8347351da9a5b3f41e26cf547252d861f685c6867d179a7c9d60ad50189/matplotlib-3.10.8-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d56a1efd5bfd61486c8bc968fa18734464556f0fb8e51690f4ac25d85cbbbbc2", size = 9540997, upload-time = "2025-12-10T22:55:23.258Z" },
+    { url = "https://files.pythonhosted.org/packages/9e/c0/c7b914e297efe0bc36917bf216b2acb91044b91e930e878ae12981e461e5/matplotlib-3.10.8-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:238b7ce5717600615c895050239ec955d91f321c209dd110db988500558e70d6", size = 9596825, upload-time = "2025-12-10T22:55:25.217Z" },
+    { url = "https://files.pythonhosted.org/packages/6f/d3/a4bbc01c237ab710a1f22b4da72f4ff6d77eb4c7735ea9811a94ae239067/matplotlib-3.10.8-cp311-cp311-win_amd64.whl", hash = "sha256:18821ace09c763ec93aef5eeff087ee493a24051936d7b9ebcad9662f66501f9", size = 8135090, upload-time = "2025-12-10T22:55:27.162Z" },
+    { url = "https://files.pythonhosted.org/packages/89/dd/a0b6588f102beab33ca6f5218b31725216577b2a24172f327eaf6417d5c9/matplotlib-3.10.8-cp311-cp311-win_arm64.whl", hash = "sha256:bab485bcf8b1c7d2060b4fcb6fc368a9e6f4cd754c9c2fea281f4be21df394a2", size = 8012377, upload-time = "2025-12-10T22:55:29.185Z" },
+    { url = "https://files.pythonhosted.org/packages/9e/67/f997cdcbb514012eb0d10cd2b4b332667997fb5ebe26b8d41d04962fa0e6/matplotlib-3.10.8-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:64fcc24778ca0404ce0cb7b6b77ae1f4c7231cdd60e6778f999ee05cbd581b9a", size = 8260453, upload-time = "2025-12-10T22:55:30.709Z" },
+    { url = "https://files.pythonhosted.org/packages/7e/65/07d5f5c7f7c994f12c768708bd2e17a4f01a2b0f44a1c9eccad872433e2e/matplotlib-3.10.8-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b9a5ca4ac220a0cdd1ba6bcba3608547117d30468fefce49bb26f55c1a3d5c58", size = 8148321, upload-time = "2025-12-10T22:55:33.265Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/f3/c5195b1ae57ef85339fd7285dfb603b22c8b4e79114bae5f4f0fcf688677/matplotlib-3.10.8-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3ab4aabc72de4ff77b3ec33a6d78a68227bf1123465887f9905ba79184a1cc04", size = 8716944, upload-time = "2025-12-10T22:55:34.922Z" },
+    { url = "https://files.pythonhosted.org/packages/00/f9/7638f5cc82ec8a7aa005de48622eecc3ed7c9854b96ba15bd76b7fd27574/matplotlib-3.10.8-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:24d50994d8c5816ddc35411e50a86ab05f575e2530c02752e02538122613371f", size = 9550099, upload-time = "2025-12-10T22:55:36.789Z" },
+    { url = "https://files.pythonhosted.org/packages/57/61/78cd5920d35b29fd2a0fe894de8adf672ff52939d2e9b43cb83cd5ce1bc7/matplotlib-3.10.8-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:99eefd13c0dc3b3c1b4d561c1169e65fe47aab7b8158754d7c084088e2329466", size = 9613040, upload-time = "2025-12-10T22:55:38.715Z" },
+    { url = "https://files.pythonhosted.org/packages/30/4e/c10f171b6e2f44d9e3a2b96efa38b1677439d79c99357600a62cc1e9594e/matplotlib-3.10.8-cp312-cp312-win_amd64.whl", hash = "sha256:dd80ecb295460a5d9d260df63c43f4afbdd832d725a531f008dad1664f458adf", size = 8142717, upload-time = "2025-12-10T22:55:41.103Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/76/934db220026b5fef85f45d51a738b91dea7d70207581063cd9bd8fafcf74/matplotlib-3.10.8-cp312-cp312-win_arm64.whl", hash = "sha256:3c624e43ed56313651bc18a47f838b60d7b8032ed348911c54906b130b20071b", size = 8012751, upload-time = "2025-12-10T22:55:42.684Z" },
+    { url = "https://files.pythonhosted.org/packages/3d/b9/15fd5541ef4f5b9a17eefd379356cf12175fe577424e7b1d80676516031a/matplotlib-3.10.8-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:3f2e409836d7f5ac2f1c013110a4d50b9f7edc26328c108915f9075d7d7a91b6", size = 8261076, upload-time = "2025-12-10T22:55:44.648Z" },
+    { url = "https://files.pythonhosted.org/packages/8d/a0/2ba3473c1b66b9c74dc7107c67e9008cb1782edbe896d4c899d39ae9cf78/matplotlib-3.10.8-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:56271f3dac49a88d7fca5060f004d9d22b865f743a12a23b1e937a0be4818ee1", size = 8148794, upload-time = "2025-12-10T22:55:46.252Z" },
+    { url = "https://files.pythonhosted.org/packages/75/97/a471f1c3eb1fd6f6c24a31a5858f443891d5127e63a7788678d14e249aea/matplotlib-3.10.8-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a0a7f52498f72f13d4a25ea70f35f4cb60642b466cbb0a9be951b5bc3f45a486", size = 8718474, upload-time = "2025-12-10T22:55:47.864Z" },
+    { url = "https://files.pythonhosted.org/packages/01/be/cd478f4b66f48256f42927d0acbcd63a26a893136456cd079c0cc24fbabf/matplotlib-3.10.8-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:646d95230efb9ca614a7a594d4fcacde0ac61d25e37dd51710b36477594963ce", size = 9549637, upload-time = "2025-12-10T22:55:50.048Z" },
+    { url = "https://files.pythonhosted.org/packages/5d/7c/8dc289776eae5109e268c4fb92baf870678dc048a25d4ac903683b86d5bf/matplotlib-3.10.8-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f89c151aab2e2e23cb3fe0acad1e8b82841fd265379c4cecd0f3fcb34c15e0f6", size = 9613678, upload-time = "2025-12-10T22:55:52.21Z" },
+    { url = "https://files.pythonhosted.org/packages/64/40/37612487cc8a437d4dd261b32ca21fe2d79510fe74af74e1f42becb1bdb8/matplotlib-3.10.8-cp313-cp313-win_amd64.whl", hash = "sha256:e8ea3e2d4066083e264e75c829078f9e149fa119d27e19acd503de65e0b13149", size = 8142686, upload-time = "2025-12-10T22:55:54.253Z" },
+    { url = "https://files.pythonhosted.org/packages/66/52/8d8a8730e968185514680c2a6625943f70269509c3dcfc0dcf7d75928cb8/matplotlib-3.10.8-cp313-cp313-win_arm64.whl", hash = "sha256:c108a1d6fa78a50646029cb6d49808ff0fc1330fda87fa6f6250c6b5369b6645", size = 8012917, upload-time = "2025-12-10T22:55:56.268Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/27/51fe26e1062f298af5ef66343d8ef460e090a27fea73036c76c35821df04/matplotlib-3.10.8-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:ad3d9833a64cf48cc4300f2b406c3d0f4f4724a91c0bd5640678a6ba7c102077", size = 8305679, upload-time = "2025-12-10T22:55:57.856Z" },
+    { url = "https://files.pythonhosted.org/packages/2c/1e/4de865bc591ac8e3062e835f42dd7fe7a93168d519557837f0e37513f629/matplotlib-3.10.8-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:eb3823f11823deade26ce3b9f40dcb4a213da7a670013929f31d5f5ed1055b22", size = 8198336, upload-time = "2025-12-10T22:55:59.371Z" },
+    { url = "https://files.pythonhosted.org/packages/c6/cb/2f7b6e75fb4dce87ef91f60cac4f6e34f4c145ab036a22318ec837971300/matplotlib-3.10.8-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d9050fee89a89ed57b4fb2c1bfac9a3d0c57a0d55aed95949eedbc42070fea39", size = 8731653, upload-time = "2025-12-10T22:56:01.032Z" },
+    { url = "https://files.pythonhosted.org/packages/46/b3/bd9c57d6ba670a37ab31fb87ec3e8691b947134b201f881665b28cc039ff/matplotlib-3.10.8-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b44d07310e404ba95f8c25aa5536f154c0a8ec473303535949e52eb71d0a1565", size = 9561356, upload-time = "2025-12-10T22:56:02.95Z" },
+    { url = "https://files.pythonhosted.org/packages/c0/3d/8b94a481456dfc9dfe6e39e93b5ab376e50998cddfd23f4ae3b431708f16/matplotlib-3.10.8-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:0a33deb84c15ede243aead39f77e990469fff93ad1521163305095b77b72ce4a", size = 9614000, upload-time = "2025-12-10T22:56:05.411Z" },
+    { url = "https://files.pythonhosted.org/packages/bd/cd/bc06149fe5585ba800b189a6a654a75f1f127e8aab02fd2be10df7fa500c/matplotlib-3.10.8-cp313-cp313t-win_amd64.whl", hash = "sha256:3a48a78d2786784cc2413e57397981fb45c79e968d99656706018d6e62e57958", size = 8220043, upload-time = "2025-12-10T22:56:07.551Z" },
+    { url = "https://files.pythonhosted.org/packages/e3/de/b22cf255abec916562cc04eef457c13e58a1990048de0c0c3604d082355e/matplotlib-3.10.8-cp313-cp313t-win_arm64.whl", hash = "sha256:15d30132718972c2c074cd14638c7f4592bd98719e2308bccea40e0538bc0cb5", size = 8062075, upload-time = "2025-12-10T22:56:09.178Z" },
+    { url = "https://files.pythonhosted.org/packages/3c/43/9c0ff7a2f11615e516c3b058e1e6e8f9614ddeca53faca06da267c48345d/matplotlib-3.10.8-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:b53285e65d4fa4c86399979e956235deb900be5baa7fc1218ea67fbfaeaadd6f", size = 8262481, upload-time = "2025-12-10T22:56:10.885Z" },
+    { url = "https://files.pythonhosted.org/packages/6f/ca/e8ae28649fcdf039fda5ef554b40a95f50592a3c47e6f7270c9561c12b07/matplotlib-3.10.8-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:32f8dce744be5569bebe789e46727946041199030db8aeb2954d26013a0eb26b", size = 8151473, upload-time = "2025-12-10T22:56:12.377Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/6f/009d129ae70b75e88cbe7e503a12a4c0670e08ed748a902c2568909e9eb5/matplotlib-3.10.8-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4cf267add95b1c88300d96ca837833d4112756045364f5c734a2276038dae27d", size = 9553896, upload-time = "2025-12-10T22:56:14.432Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/26/4221a741eb97967bc1fd5e4c52b9aa5a91b2f4ec05b59f6def4d820f9df9/matplotlib-3.10.8-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2cf5bd12cecf46908f286d7838b2abc6c91cda506c0445b8223a7c19a00df008", size = 9824193, upload-time = "2025-12-10T22:56:16.29Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/f3/3abf75f38605772cf48a9daf5821cd4f563472f38b4b828c6fba6fa6d06e/matplotlib-3.10.8-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:41703cc95688f2516b480f7f339d8851a6035f18e100ee6a32bc0b8536a12a9c", size = 9615444, upload-time = "2025-12-10T22:56:18.155Z" },
+    { url = "https://files.pythonhosted.org/packages/93/a5/de89ac80f10b8dc615807ee1133cd99ac74082581196d4d9590bea10690d/matplotlib-3.10.8-cp314-cp314-win_amd64.whl", hash = "sha256:83d282364ea9f3e52363da262ce32a09dfe241e4080dcedda3c0db059d3c1f11", size = 8272719, upload-time = "2025-12-10T22:56:20.366Z" },
+    { url = "https://files.pythonhosted.org/packages/69/ce/b006495c19ccc0a137b48083168a37bd056392dee02f87dba0472f2797fe/matplotlib-3.10.8-cp314-cp314-win_arm64.whl", hash = "sha256:2c1998e92cd5999e295a731bcb2911c75f597d937341f3030cc24ef2733d78a8", size = 8144205, upload-time = "2025-12-10T22:56:22.239Z" },
+    { url = "https://files.pythonhosted.org/packages/68/d9/b31116a3a855bd313c6fcdb7226926d59b041f26061c6c5b1be66a08c826/matplotlib-3.10.8-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:b5a2b97dbdc7d4f353ebf343744f1d1f1cca8aa8bfddb4262fcf4306c3761d50", size = 8305785, upload-time = "2025-12-10T22:56:24.218Z" },
+    { url = "https://files.pythonhosted.org/packages/1e/90/6effe8103f0272685767ba5f094f453784057072f49b393e3ea178fe70a5/matplotlib-3.10.8-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:3f5c3e4da343bba819f0234186b9004faba952cc420fbc522dc4e103c1985908", size = 8198361, upload-time = "2025-12-10T22:56:26.787Z" },
+    { url = "https://files.pythonhosted.org/packages/d7/65/a73188711bea603615fc0baecca1061429ac16940e2385433cc778a9d8e7/matplotlib-3.10.8-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5f62550b9a30afde8c1c3ae450e5eb547d579dd69b25c2fc7a1c67f934c1717a", size = 9561357, upload-time = "2025-12-10T22:56:28.953Z" },
+    { url = "https://files.pythonhosted.org/packages/f4/3d/b5c5d5d5be8ce63292567f0e2c43dde9953d3ed86ac2de0a72e93c8f07a1/matplotlib-3.10.8-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:495672de149445ec1b772ff2c9ede9b769e3cb4f0d0aa7fa730d7f59e2d4e1c1", size = 9823610, upload-time = "2025-12-10T22:56:31.455Z" },
+    { url = "https://files.pythonhosted.org/packages/4d/4b/e7beb6bbd49f6bae727a12b270a2654d13c397576d25bd6786e47033300f/matplotlib-3.10.8-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:595ba4d8fe983b88f0eec8c26a241e16d6376fe1979086232f481f8f3f67494c", size = 9614011, upload-time = "2025-12-10T22:56:33.85Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/e6/76f2813d31f032e65f6f797e3f2f6e4aab95b65015924b1c51370395c28a/matplotlib-3.10.8-cp314-cp314t-win_amd64.whl", hash = "sha256:25d380fe8b1dc32cf8f0b1b448470a77afb195438bafdf1d858bfb876f3edf7b", size = 8362801, upload-time = "2025-12-10T22:56:36.107Z" },
+    { url = "https://files.pythonhosted.org/packages/5d/49/d651878698a0b67f23aa28e17f45a6d6dd3d3f933fa29087fa4ce5947b5a/matplotlib-3.10.8-cp314-cp314t-win_arm64.whl", hash = "sha256:113bb52413ea508ce954a02c10ffd0d565f9c3bc7f2eddc27dfe1731e71c7b5f", size = 8192560, upload-time = "2025-12-10T22:56:38.008Z" },
+    { url = "https://files.pythonhosted.org/packages/04/30/3afaa31c757f34b7725ab9d2ba8b48b5e89c2019c003e7d0ead143aabc5a/matplotlib-3.10.8-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:6da7c2ce169267d0d066adcf63758f0604aa6c3eebf67458930f9d9b79ad1db1", size = 8249198, upload-time = "2025-12-10T22:56:45.584Z" },
+    { url = "https://files.pythonhosted.org/packages/48/2f/6334aec331f57485a642a7c8be03cb286f29111ae71c46c38b363230063c/matplotlib-3.10.8-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:9153c3292705be9f9c64498a8872118540c3f4123d1a1c840172edf262c8be4a", size = 8136817, upload-time = "2025-12-10T22:56:47.339Z" },
+    { url = "https://files.pythonhosted.org/packages/73/e4/6d6f14b2a759c622f191b2d67e9075a3f56aaccb3be4bb9bb6890030d0a0/matplotlib-3.10.8-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1ae029229a57cd1e8fe542485f27e7ca7b23aa9e8944ddb4985d0bc444f1eca2", size = 8713867, upload-time = "2025-12-10T22:56:48.954Z" },
+]
+
+[[package]]
+name = "matplotlib-inline"
+version = "0.2.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/c7/74/97e72a36efd4ae2bccb3463284300f8953f199b5ffbc04cbbb0ec78f74b1/matplotlib_inline-0.2.1.tar.gz", hash = "sha256:e1ee949c340d771fc39e241ea75683deb94762c8fa5f2927ec57c83c4dffa9fe", size = 8110, upload-time = "2025-10-23T09:00:22.126Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/af/33/ee4519fa02ed11a94aef9559552f3b17bb863f2ecfe1a35dc7f548cde231/matplotlib_inline-0.2.1-py3-none-any.whl", hash = "sha256:d56ce5156ba6085e00a9d54fead6ed29a9c47e215cd1bba2e976ef39f5710a76", size = 9516, upload-time = "2025-10-23T09:00:20.675Z" },
+]
+
+[[package]]
+name = "mccabe"
+version = "0.7.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e7/ff/0ffefdcac38932a54d2b5eed4e0ba8a408f215002cd178ad1df0f2806ff8/mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325", size = 9658, upload-time = "2022-01-24T01:14:51.113Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/27/1a/1f68f9ba0c207934b35b86a8ca3aad8395a3d6dd7921c0686e23853ff5a9/mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e", size = 7350, upload-time = "2022-01-24T01:14:49.62Z" },
+]
+
+[[package]]
+name = "mdit-py-plugins"
+version = "0.5.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "markdown-it-py" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b2/fd/a756d36c0bfba5f6e39a1cdbdbfdd448dc02692467d83816dff4592a1ebc/mdit_py_plugins-0.5.0.tar.gz", hash = "sha256:f4918cb50119f50446560513a8e311d574ff6aaed72606ddae6d35716fe809c6", size = 44655, upload-time = "2025-08-11T07:25:49.083Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fb/86/dd6e5db36df29e76c7a7699123569a4a18c1623ce68d826ed96c62643cae/mdit_py_plugins-0.5.0-py3-none-any.whl", hash = "sha256:07a08422fc1936a5d26d146759e9155ea466e842f5ab2f7d2266dd084c8dab1f", size = 57205, upload-time = "2025-08-11T07:25:47.597Z" },
+]
+
+[[package]]
+name = "mdurl"
+version = "0.1.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/d6/54/cfe61301667036ec958cb99bd3efefba235e65cdeb9c84d24a8293ba1d90/mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba", size = 8729, upload-time = "2022-08-14T12:40:10.846Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b3/38/89ba8ad64ae25be8de66a6d463314cf1eb366222074cfda9ee839c56a4b4/mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8", size = 9979, upload-time = "2022-08-14T12:40:09.779Z" },
+]
+
+[[package]]
+name = "mergedeep"
+version = "1.3.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/3a/41/580bb4006e3ed0361b8151a01d324fb03f420815446c7def45d02f74c270/mergedeep-1.3.4.tar.gz", hash = "sha256:0096d52e9dad9939c3d975a774666af186eda617e6ca84df4c94dec30004f2a8", size = 4661, upload-time = "2021-02-05T18:55:30.623Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2c/19/04f9b178c2d8a15b076c8b5140708fa6ffc5601fb6f1e975537072df5b2a/mergedeep-1.3.4-py3-none-any.whl", hash = "sha256:70775750742b25c0d8f36c55aed03d24c3384d17c951b3175d898bd778ef0307", size = 6354, upload-time = "2021-02-05T18:55:29.583Z" },
+]
+
+[[package]]
+name = "meshio"
+version = "5.3.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+    { name = "rich" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/20/1e/caa4f15c020de3e3486b4133ca689236bd3863a3d6dd0f58e97ce86a296a/meshio-5.3.5.tar.gz", hash = "sha256:f21f01abd9f29ba06ea119304b3d39e610421cfe93b9dd23362834919f87586d", size = 490922, upload-time = "2024-01-31T15:09:41.731Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/89/5f/39cbadc320cd78f4834b0a9f7a2fa3c980dca942bf193f315837eacb8870/meshio-5.3.5-py3-none-any.whl", hash = "sha256:0736c6e34ecc768f62f2cde5d8233a3529512a9399b25c68ea2ca0d5900cdc10", size = 166162, upload-time = "2024-01-31T15:09:36.691Z" },
+]
+
+[[package]]
+name = "mistune"
+version = "3.2.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/9d/55/d01f0c4b45ade6536c51170b9043db8b2ec6ddf4a35c7ea3f5f559ac935b/mistune-3.2.0.tar.gz", hash = "sha256:708487c8a8cdd99c9d90eb3ed4c3ed961246ff78ac82f03418f5183ab70e398a", size = 95467, upload-time = "2025-12-23T11:36:34.994Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/9b/f7/4a5e785ec9fbd65146a27b6b70b6cdc161a66f2024e4b04ac06a67f5578b/mistune-3.2.0-py3-none-any.whl", hash = "sha256:febdc629a3c78616b94393c6580551e0e34cc289987ec6c35ed3f4be42d0eee1", size = 53598, upload-time = "2025-12-23T11:36:33.211Z" },
+]
+
+[[package]]
+name = "mkdocs"
+version = "1.6.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "click" },
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "ghp-import" },
+    { name = "jinja2" },
+    { name = "markdown" },
+    { name = "markupsafe" },
+    { name = "mergedeep" },
+    { name = "mkdocs-get-deps" },
+    { name = "packaging" },
+    { name = "pathspec" },
+    { name = "pyyaml" },
+    { name = "pyyaml-env-tag" },
+    { name = "watchdog" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/bc/c6/bbd4f061bd16b378247f12953ffcb04786a618ce5e904b8c5a01a0309061/mkdocs-1.6.1.tar.gz", hash = "sha256:7b432f01d928c084353ab39c57282f29f92136665bdd6abf7c1ec8d822ef86f2", size = 3889159, upload-time = "2024-08-30T12:24:06.899Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/22/5b/dbc6a8cddc9cfa9c4971d59fb12bb8d42e161b7e7f8cc89e49137c5b279c/mkdocs-1.6.1-py3-none-any.whl", hash = "sha256:db91759624d1647f3f34aa0c3f327dd2601beae39a366d6e064c03468d35c20e", size = 3864451, upload-time = "2024-08-30T12:24:05.054Z" },
+]
+
+[[package]]
+name = "mkdocs-autorefs"
+version = "1.4.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "markdown" },
+    { name = "markupsafe" },
+    { name = "mkdocs" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/52/c0/f641843de3f612a6b48253f39244165acff36657a91cc903633d456ae1ac/mkdocs_autorefs-1.4.4.tar.gz", hash = "sha256:d54a284f27a7346b9c38f1f852177940c222da508e66edc816a0fa55fc6da197", size = 56588, upload-time = "2026-02-10T15:23:55.105Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/28/de/a3e710469772c6a89595fc52816da05c1e164b4c866a89e3cb82fb1b67c5/mkdocs_autorefs-1.4.4-py3-none-any.whl", hash = "sha256:834ef5408d827071ad1bc69e0f39704fa34c7fc05bc8e1c72b227dfdc5c76089", size = 25530, upload-time = "2026-02-10T15:23:53.817Z" },
+]
+
+[[package]]
+name = "mkdocs-get-deps"
+version = "0.2.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "mergedeep" },
+    { name = "platformdirs" },
+    { name = "pyyaml" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ce/25/b3cccb187655b9393572bde9b09261d267c3bf2f2cdabe347673be5976a6/mkdocs_get_deps-0.2.2.tar.gz", hash = "sha256:8ee8d5f316cdbbb2834bc1df6e69c08fe769a83e040060de26d3c19fad3599a1", size = 11047, upload-time = "2026-03-10T02:46:33.632Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/88/29/744136411e785c4b0b744d5413e56555265939ab3a104c6a4b719dad33fd/mkdocs_get_deps-0.2.2-py3-none-any.whl", hash = "sha256:e7878cbeac04860b8b5e0ca31d3abad3df9411a75a32cde82f8e44b6c16ff650", size = 9555, upload-time = "2026-03-10T02:46:32.256Z" },
+]
+
+[[package]]
+name = "mkdocs-include-markdown-plugin"
+version = "7.2.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "mkdocs" },
+    { name = "wcmatch" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/3f/03/cd5e4383e677a3192127c4da67cb6046a8b1ae32ef6201f4faffd4b0c7a5/mkdocs_include_markdown_plugin-7.2.1.tar.gz", hash = "sha256:5d94db87b06cd303619dbaebba5f7f43a3ded7fd7709451d26f08c176376ffec", size = 25395, upload-time = "2026-01-25T15:02:27.861Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0f/0f/73a1d330183e79b21ee1b1a5dd4102fad1bd70231cf3b0620a7391b3c813/mkdocs_include_markdown_plugin-7.2.1-py3-none-any.whl", hash = "sha256:30da634c568ea5d5f9e5881d51f80ac30d8c5f891cec160344ad7a0fdaea6286", size = 29512, upload-time = "2026-01-25T15:02:26.333Z" },
+]
+
+[[package]]
+name = "mkdocs-material"
+version = "9.7.6"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "babel" },
+    { name = "backrefs" },
+    { name = "colorama" },
+    { name = "jinja2" },
+    { name = "markdown" },
+    { name = "mkdocs" },
+    { name = "mkdocs-material-extensions" },
+    { name = "paginate" },
+    { name = "pygments" },
+    { name = "pymdown-extensions" },
+    { name = "requests" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/45/29/6d2bcf41ae40802c4beda2432396fff97b8456fb496371d1bc7aad6512ec/mkdocs_material-9.7.6.tar.gz", hash = "sha256:00bdde50574f776d328b1862fe65daeaf581ec309bd150f7bff345a098c64a69", size = 4097959, upload-time = "2026-03-19T15:41:58.161Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2c/01/bc663630c510822c95c47a66af9fa7a443c295b47d5f041e5e6ae62ef659/mkdocs_material-9.7.6-py3-none-any.whl", hash = "sha256:71b84353921b8ea1ba84fe11c50912cc512da8fe0881038fcc9a0761c0e635ba", size = 9305470, upload-time = "2026-03-19T15:41:55.217Z" },
+]
+
+[[package]]
+name = "mkdocs-material-extensions"
+version = "1.3.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/79/9b/9b4c96d6593b2a541e1cb8b34899a6d021d208bb357042823d4d2cabdbe7/mkdocs_material_extensions-1.3.1.tar.gz", hash = "sha256:10c9511cea88f568257f960358a467d12b970e1f7b2c0e5fb2bb48cab1928443", size = 11847, upload-time = "2023-11-22T19:09:45.208Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/5b/54/662a4743aa81d9582ee9339d4ffa3c8fd40a4965e033d77b9da9774d3960/mkdocs_material_extensions-1.3.1-py3-none-any.whl", hash = "sha256:adff8b62700b25cb77b53358dad940f3ef973dd6db797907c49e3c2ef3ab4e31", size = 8728, upload-time = "2023-11-22T19:09:43.465Z" },
+]
+
+[[package]]
+name = "mkdocstrings"
+version = "1.0.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "jinja2" },
+    { name = "markdown" },
+    { name = "markupsafe" },
+    { name = "mkdocs" },
+    { name = "mkdocs-autorefs" },
+    { name = "pymdown-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/46/62/0dfc5719514115bf1781f44b1d7f2a0923fcc01e9c5d7990e48a05c9ae5d/mkdocstrings-1.0.3.tar.gz", hash = "sha256:ab670f55040722b49bb45865b2e93b824450fb4aef638b00d7acb493a9020434", size = 100946, upload-time = "2026-02-07T14:31:40.973Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/04/41/1cf02e3df279d2dd846a1bf235a928254eba9006dd22b4a14caa71aed0f7/mkdocstrings-1.0.3-py3-none-any.whl", hash = "sha256:0d66d18430c2201dc7fe85134277382baaa15e6b30979f3f3bdbabd6dbdb6046", size = 35523, upload-time = "2026-02-07T14:31:39.27Z" },
+]
+
+[[package]]
+name = "mkdocstrings-python"
+version = "2.0.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "griffelib" },
+    { name = "mkdocs-autorefs" },
+    { name = "mkdocstrings" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/29/33/c225eaf898634bdda489a6766fc35d1683c640bffe0e0acd10646b13536d/mkdocstrings_python-2.0.3.tar.gz", hash = "sha256:c518632751cc869439b31c9d3177678ad2bfa5c21b79b863956ad68fc92c13b8", size = 199083, upload-time = "2026-02-20T10:38:36.368Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/32/28/79f0f8de97cce916d5ae88a7bee1ad724855e83e6019c0b4d5b3fabc80f3/mkdocstrings_python-2.0.3-py3-none-any.whl", hash = "sha256:0b83513478bdfd803ff05aa43e9b1fca9dd22bcd9471f09ca6257f009bc5ee12", size = 104779, upload-time = "2026-02-20T10:38:34.517Z" },
+]
+
+[[package]]
+name = "mkdocstrings-python-legacy"
+version = "0.2.7"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "mkdocs-autorefs" },
+    { name = "mkdocstrings" },
+    { name = "pytkdocs" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/39/4b/3b1724ae9d82646c81f9dda3a7e3a0101f433e0b9e4344157b6e3a4e48b2/mkdocstrings_python_legacy-0.2.7.tar.gz", hash = "sha256:1aa8a277a332fb0d49be3786de3fa18af7d8792e8d611f6ba8d550dc3a1ff8a1", size = 99605, upload-time = "2025-05-22T10:58:41.657Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e2/25/b353bc04f24502ea0afe129b3045b73f3297e828e4baaf33c286417a9657/mkdocstrings_python_legacy-0.2.7-py3-none-any.whl", hash = "sha256:c24a0a5867749fd826dfa190e10afcbd4c415cbcb2f805fc4791472b4bf221e9", size = 29263, upload-time = "2025-05-22T10:58:40.161Z" },
+]
+
+[[package]]
+name = "mne"
+version = "1.11.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "decorator" },
+    { name = "jinja2" },
+    { name = "lazy-loader" },
+    { name = "matplotlib" },
+    { name = "numpy" },
+    { name = "packaging" },
+    { name = "pooch" },
+    { name = "scipy" },
+    { name = "tqdm" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/9b/4f/ed4c27b6179665235a7ce3a738b24a05cafe9fa67f728994361598b27c2f/mne-1.11.0.tar.gz", hash = "sha256:0a89b8fc44133b81218a35cdcba74ad0f8ae2e265136249b365b9ce04864c688", size = 7152794, upload-time = "2025-11-21T19:34:45.907Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c3/60/a9b51009f6df38b491a874b3ca5db1ce37395c6327faca1008e71e9814e6/mne-1.11.0-py3-none-any.whl", hash = "sha256:993f25b0c92e563c23cb272c42c6c0298be10f40ed50abe4dd2deeba8d184ac2", size = 7451119, upload-time = "2025-11-21T19:34:43.463Z" },
+]
+
+[package.optional-dependencies]
+hdf5 = [
+    { name = "h5io" },
+    { name = "pymatreader" },
+]
+
+[[package]]
+name = "mne-connectivity"
+version = "0.7.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "mne" },
+    { name = "netcdf4" },
+    { name = "numpy" },
+    { name = "pandas" },
+    { name = "scipy" },
+    { name = "tqdm" },
+    { name = "xarray" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ed/50/f6dde9b21140caf1f53bba0126bddc1890bc766c8119c05b4f59d4dfda31/mne_connectivity-0.7.0.tar.gz", hash = "sha256:89f9e11d1843395dd67458f027aedee1a70fdfce97241a7d3f2710164d537864", size = 157293, upload-time = "2024-06-12T15:29:00.628Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/40/06/a8d2fe4f73c12350b163c7b6c8fd32abb40774720de5249234c143b44a6b/mne_connectivity-0.7.0-py3-none-any.whl", hash = "sha256:879f9041e10d9e1cadcbb02526fd79f2819af5b5d811934a3af2865aae530d07", size = 115207, upload-time = "2024-06-12T15:28:59.036Z" },
+]
+
+[[package]]
+name = "mpmath"
+version = "1.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e0/47/dd32fa426cc72114383ac549964eecb20ecfd886d1e5ccf5340b55b02f57/mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f", size = 508106, upload-time = "2023-03-07T16:47:11.061Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c", size = 536198, upload-time = "2023-03-07T16:47:09.197Z" },
+]
+
+[[package]]
+name = "mypy-extensions"
+version = "1.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/a2/6e/371856a3fb9d31ca8dac321cda606860fa4548858c0cc45d9d1d4ca2628b/mypy_extensions-1.1.0.tar.gz", hash = "sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558", size = 6343, upload-time = "2025-04-22T14:54:24.164Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/79/7b/2c79738432f5c924bef5071f933bcc9efd0473bac3b4aa584a6f7c1c8df8/mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505", size = 4963, upload-time = "2025-04-22T14:54:22.983Z" },
+]
+
+[[package]]
+name = "narwhals"
+version = "2.18.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/47/b4/02a8add181b8d2cd5da3b667cd102ae536e8c9572ab1a130816d70a89edb/narwhals-2.18.0.tar.gz", hash = "sha256:1de5cee338bc17c338c6278df2c38c0dd4290499fcf70d75e0a51d5f22a6e960", size = 620222, upload-time = "2026-03-10T15:51:27.14Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fe/75/0b4a10da17a44cf13567d08a9c7632a285297e46253263f1ae119129d10a/narwhals-2.18.0-py3-none-any.whl", hash = "sha256:68378155ee706ac9c5b25868ef62ecddd62947b6df7801a0a156bc0a615d2d0d", size = 444865, upload-time = "2026-03-10T15:51:24.085Z" },
+]
+
+[[package]]
+name = "nbclient"
+version = "0.10.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "jupyter-client" },
+    { name = "jupyter-core" },
+    { name = "nbformat" },
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/56/91/1c1d5a4b9a9ebba2b4e32b8c852c2975c872aec1fe42ab5e516b2cecd193/nbclient-0.10.4.tar.gz", hash = "sha256:1e54091b16e6da39e297b0ece3e10f6f29f4ac4e8ee515d29f8a7099bd6553c9", size = 62554, upload-time = "2025-12-23T07:45:46.369Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/83/a0/5b0c2f11142ed1dddec842457d3f65eaf71a0080894eb6f018755b319c3a/nbclient-0.10.4-py3-none-any.whl", hash = "sha256:9162df5a7373d70d606527300a95a975a47c137776cd942e52d9c7e29ff83440", size = 25465, upload-time = "2025-12-23T07:45:44.51Z" },
+]
+
+[[package]]
+name = "nbconvert"
+version = "7.17.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "beautifulsoup4" },
+    { name = "bleach", extra = ["css"] },
+    { name = "defusedxml" },
+    { name = "jinja2" },
+    { name = "jupyter-core" },
+    { name = "jupyterlab-pygments" },
+    { name = "markupsafe" },
+    { name = "mistune" },
+    { name = "nbclient" },
+    { name = "nbformat" },
+    { name = "packaging" },
+    { name = "pandocfilters" },
+    { name = "pygments" },
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/38/47/81f886b699450d0569f7bc551df2b1673d18df7ff25cc0c21ca36ed8a5ff/nbconvert-7.17.0.tar.gz", hash = "sha256:1b2696f1b5be12309f6c7d707c24af604b87dfaf6d950794c7b07acab96dda78", size = 862855, upload-time = "2026-01-29T16:37:48.478Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0d/4b/8d5f796a792f8a25f6925a96032f098789f448571eb92011df1ae59e8ea8/nbconvert-7.17.0-py3-none-any.whl", hash = "sha256:4f99a63b337b9a23504347afdab24a11faa7d86b405e5c8f9881cd313336d518", size = 261510, upload-time = "2026-01-29T16:37:46.322Z" },
+]
+
+[[package]]
+name = "nbformat"
+version = "5.10.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "fastjsonschema" },
+    { name = "jsonschema" },
+    { name = "jupyter-core" },
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/6d/fd/91545e604bc3dad7dca9ed03284086039b294c6b3d75c0d2fa45f9e9caf3/nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a", size = 142749, upload-time = "2024-04-04T11:20:37.371Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a9/82/0340caa499416c78e5d8f5f05947ae4bc3cba53c9f038ab6e9ed964e22f1/nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b", size = 78454, upload-time = "2024-04-04T11:20:34.895Z" },
+]
+
+[[package]]
+name = "nest-asyncio"
+version = "1.6.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/83/f8/51569ac65d696c8ecbee95938f89d4abf00f47d58d48f6fbabfe8f0baefe/nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe", size = 7418, upload-time = "2024-01-21T14:25:19.227Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a0/c4/c2971a3ba4c6103a3d10c4b0f24f461ddc027f0f09763220cf35ca1401b3/nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c", size = 5195, upload-time = "2024-01-21T14:25:17.223Z" },
+]
+
+[[package]]
+name = "netcdf4"
+version = "1.7.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "certifi" },
+    { name = "cftime" },
+    { name = "numpy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/34/b6/0370bb3af66a12098da06dc5843f3b349b7c83ccbdf7306e7afa6248b533/netcdf4-1.7.4.tar.gz", hash = "sha256:cdbfdc92d6f4d7192ca8506c9b3d4c1d9892969ff28d8e8e1fc97ca08bf12164", size = 838352, upload-time = "2026-01-05T02:27:38.593Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/38/de/38ed7e1956943d28e8ea74161e97c3a00fb98d6d08943b4fd21bae32c240/netcdf4-1.7.4-cp311-abi3-macosx_13_0_x86_64.whl", hash = "sha256:dec70e809cc65b04ebe95113ee9c85ba46a51c3a37c058d2b2b0cadc4d3052d8", size = 23427499, upload-time = "2026-01-05T02:27:06.568Z" },
+    { url = "https://files.pythonhosted.org/packages/e5/70/2f73c133b71709c412bc81d8b721e28dc6237ba9d7dad861b7bfbb70408a/netcdf4-1.7.4-cp311-abi3-macosx_14_0_arm64.whl", hash = "sha256:75cf59100f0775bc4d6b9d4aca7cbabd12e2b8cf3b9a4fb16d810b92743a315a", size = 22847667, upload-time = "2026-01-05T02:27:09.421Z" },
+    { url = "https://files.pythonhosted.org/packages/77/ce/43a3c0c41a6e2e940d87feea79d29aa88302211ac122604838f8a5a48de6/netcdf4-1.7.4-cp311-abi3-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ddfc7e9d261125c74708119440c85ea288b5fee41db676d2ba1ce9be11f96932", size = 10274769, upload-time = "2026-01-05T21:31:19.243Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/7a/a8d32501bb95ecff342004a674720164f95ad616f269450b3bc13dc88ae3/netcdf4-1.7.4-cp311-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a72c9f58767779ec14cb7451c3b56bdd8fdc027a792fac2062b14e090c5617f3", size = 10123122, upload-time = "2026-01-05T21:31:22.773Z" },
+    { url = "https://files.pythonhosted.org/packages/18/68/e89b4fa9242e59326c849c39ce0f49eb68499603c639405a8449900a4f15/netcdf4-1.7.4-cp311-abi3-win_amd64.whl", hash = "sha256:9476e1f23161ae5159cd1548c50c8a37922e77d76583e247133f256ef7b825fc", size = 21299637, upload-time = "2026-01-05T02:27:11.856Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/fc/edd41a3607241027aa4533e7f18e0cd647e74dde10a63274c65350f59967/netcdf4-1.7.4-cp311-abi3-win_arm64.whl", hash = "sha256:876ad9d58f09c98741c066c726164c45a098a58fb90e5fac9e74de4bb8a793fd", size = 2386377, upload-time = "2026-01-05T02:27:13.808Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/3e/1e83534ba68459bc5ae39df46fa71003984df58aabf31f7dcd6e22ecddb0/netcdf4-1.7.4-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:56688c03444fffe0d0c7512cb45245e650389cd841c955b30e4552fa681c4cd9", size = 10519821, upload-time = "2026-01-05T02:27:15.413Z" },
+    { url = "https://files.pythonhosted.org/packages/c0/8c/a15d6fe97f81d6d5202b17838a9a298b5955b3e9971e20609195112829b5/netcdf4-1.7.4-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7ecf471ba8a6ddb2200121949bedfa0095db228822f38227d5da680694a38358", size = 10371133, upload-time = "2026-01-05T02:27:17.224Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/2b/684b15dd4791f8be295b2f6fa97377bbc07a768478a63b7d3c4951712e36/netcdf4-1.7.4-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a5841de0735e8e4875b367c668e81d334287858d64dd9f3e3e2261e808c84922", size = 10395635, upload-time = "2026-01-05T02:27:19.655Z" },
+    { url = "https://files.pythonhosted.org/packages/37/dc/44d21524cf1b1c64254f92e22395a7a10f70c18f3a13a18ac9db258760f7/netcdf4-1.7.4-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:86fac03a8c5b250d57866e7d98918a64742e4b0de1681c5c86bac5726bab8aee", size = 10237725, upload-time = "2026-01-05T02:27:22.298Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/9d/c3ddf54296ad8f18f02f77f23452bdb0971aece1b87e84bab9d734bf72cc/netcdf4-1.7.4-cp314-cp314t-macosx_13_0_x86_64.whl", hash = "sha256:ad083d260301b5add74b1669c75ab0df03bdf986decfcc092cb45eec2615b5f1", size = 23515258, upload-time = "2026-01-05T02:27:24.837Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/44/bc0346e995d436d03fab682b7fbd2a9adcf0db6a05790b8f24853bf08170/netcdf4-1.7.4-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:7f22014092cc9da3f056b0368e2e38c42afd5725c87ad4843eb2f467e16dd4f6", size = 22910171, upload-time = "2026-01-05T02:27:27.166Z" },
+    { url = "https://files.pythonhosted.org/packages/30/6b/f9bc3f43c55e2dac72ee9f98d77860789bdd5d50c29adf164a6bdb303078/netcdf4-1.7.4-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:224a15434c165a5e0225e5831f591edf62533044b1ce62fdfee815195bbd077d", size = 10567579, upload-time = "2026-01-05T02:27:29.382Z" },
+    { url = "https://files.pythonhosted.org/packages/6d/d5/e7685c66b7f011c73cd746127f986358a26c642a4e4a1aa5ab51481b6586/netcdf4-1.7.4-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:31a2318305de6831a18df25ad0df9f03b6d68666af0356d4f6057d66c02ffeb6", size = 10255032, upload-time = "2026-01-05T02:27:31.744Z" },
+    { url = "https://files.pythonhosted.org/packages/a6/14/7506738bb6c8bc373b01e5af8f3b727f83f4f496c6b108490ea2609dc2cf/netcdf4-1.7.4-cp314-cp314t-win_amd64.whl", hash = "sha256:6c4a0aa9446c3a616ef3be015b629dc6173643f8b09546de26a4e40e272cd1ed", size = 22289653, upload-time = "2026-01-05T02:27:34.294Z" },
+    { url = "https://files.pythonhosted.org/packages/af/2e/39d5e9179c543f2e6e149a65908f83afd9b6d64379a90789b323111761db/netcdf4-1.7.4-cp314-cp314t-win_arm64.whl", hash = "sha256:034220887d48da032cb2db5958f69759dbb04eb33e279ec6390571d4aea734fe", size = 2531682, upload-time = "2026-01-05T02:27:37.062Z" },
+]
+
+[[package]]
+name = "networkx"
+version = "3.6.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/6a/51/63fe664f3908c97be9d2e4f1158eb633317598cfa6e1fc14af5383f17512/networkx-3.6.1.tar.gz", hash = "sha256:26b7c357accc0c8cde558ad486283728b65b6a95d85ee1cd66bafab4c8168509", size = 2517025, upload-time = "2025-12-08T17:02:39.908Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/9e/c9/b2622292ea83fbb4ec318f5b9ab867d0a28ab43c5717bb85b0a5f6b3b0a4/networkx-3.6.1-py3-none-any.whl", hash = "sha256:d47fbf302e7d9cbbb9e2555a0d267983d2aa476bac30e90dfbe5669bd57f3762", size = 2068504, upload-time = "2025-12-08T17:02:38.159Z" },
+]
+
+[[package]]
+name = "notebook"
+version = "7.5.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "jupyter-server" },
+    { name = "jupyterlab" },
+    { name = "jupyterlab-server" },
+    { name = "notebook-shim" },
+    { name = "tornado" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/1f/6d/41052c48d6f6349ca0a7c4d1f6a78464de135e6d18f5829ba2510e62184c/notebook-7.5.5.tar.gz", hash = "sha256:dc0bfab0f2372c8278c457423d3256c34154ac2cc76bf20e9925260c461013c3", size = 14169167, upload-time = "2026-03-11T16:32:51.922Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f8/aa/cbd1deb9f07446241e88f8d5fecccd95b249bca0b4e5482214a4d1714c49/notebook-7.5.5-py3-none-any.whl", hash = "sha256:a7c14dbeefa6592e87f72290ca982e0c10f5bbf3786be2a600fda9da2764a2b8", size = 14578929, upload-time = "2026-03-11T16:32:48.021Z" },
+]
+
+[[package]]
+name = "notebook-shim"
+version = "0.2.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "jupyter-server" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/54/d2/92fa3243712b9a3e8bafaf60aac366da1cada3639ca767ff4b5b3654ec28/notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb", size = 13167, upload-time = "2024-02-14T23:35:18.353Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f9/33/bd5b9137445ea4b680023eb0469b2bb969d61303dedb2aac6560ff3d14a1/notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef", size = 13307, upload-time = "2024-02-14T23:35:16.286Z" },
+]
+
+[[package]]
+name = "numba"
+version = "0.64.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "llvmlite" },
+    { name = "numpy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/23/c9/a0fb41787d01d621046138da30f6c2100d80857bf34b3390dd68040f27a3/numba-0.64.0.tar.gz", hash = "sha256:95e7300af648baa3308127b1955b52ce6d11889d16e8cfe637b4f85d2fca52b1", size = 2765679, upload-time = "2026-02-18T18:41:20.974Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/89/a3/1a4286a1c16136c8896d8e2090d950e79b3ec626d3a8dc9620f6234d5a38/numba-0.64.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:766156ee4b8afeeb2b2e23c81307c5d19031f18d5ce76ae2c5fb1429e72fa92b", size = 2682938, upload-time = "2026-02-18T18:40:52.897Z" },
+    { url = "https://files.pythonhosted.org/packages/19/16/aa6e3ba3cd45435c117d1101b278b646444ed05b7c712af631b91353f573/numba-0.64.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d17071b4ffc9d39b75d8e6c101a36f0c81b646123859898c9799cb31807c8f78", size = 3747376, upload-time = "2026-02-18T18:40:54.925Z" },
+    { url = "https://files.pythonhosted.org/packages/c0/f1/dd2f25e18d75fdf897f730b78c5a7b00cc4450f2405564dbebfaf359f21f/numba-0.64.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4ead5630434133bac87fa67526eacb264535e4e9a2d5ec780e0b4fc381a7d275", size = 3453292, upload-time = "2026-02-18T18:40:56.818Z" },
+    { url = "https://files.pythonhosted.org/packages/31/29/e09d5630578a50a2b3fa154990b6b839cf95327aa0709e2d50d0b6816cd1/numba-0.64.0-cp311-cp311-win_amd64.whl", hash = "sha256:f2b1fd93e7aaac07d6fbaed059c00679f591f2423885c206d8c1b55d65ca3f2d", size = 2749824, upload-time = "2026-02-18T18:40:58.392Z" },
+    { url = "https://files.pythonhosted.org/packages/70/a6/9fc52cb4f0d5e6d8b5f4d81615bc01012e3cf24e1052a60f17a68deb8092/numba-0.64.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:69440a8e8bc1a81028446f06b363e28635aa67bd51b1e498023f03b812e0ce68", size = 2683418, upload-time = "2026-02-18T18:40:59.886Z" },
+    { url = "https://files.pythonhosted.org/packages/9b/89/1a74ea99b180b7a5587b0301ed1b183a2937c4b4b67f7994689b5d36fc34/numba-0.64.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f13721011f693ba558b8dd4e4db7f2640462bba1b855bdc804be45bbeb55031a", size = 3804087, upload-time = "2026-02-18T18:41:01.699Z" },
+    { url = "https://files.pythonhosted.org/packages/91/e1/583c647404b15f807410510fec1eb9b80cb8474165940b7749f026f21cbc/numba-0.64.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e0b180b1133f2b5d8b3f09d96b6d7a9e51a7da5dda3c09e998b5bcfac85d222c", size = 3504309, upload-time = "2026-02-18T18:41:03.252Z" },
+    { url = "https://files.pythonhosted.org/packages/85/23/0fce5789b8a5035e7ace21216a468143f3144e02013252116616c58339aa/numba-0.64.0-cp312-cp312-win_amd64.whl", hash = "sha256:e63dc94023b47894849b8b106db28ccb98b49d5498b98878fac1a38f83ac007a", size = 2752740, upload-time = "2026-02-18T18:41:05.097Z" },
+    { url = "https://files.pythonhosted.org/packages/52/80/2734de90f9300a6e2503b35ee50d9599926b90cbb7ac54f9e40074cd07f1/numba-0.64.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:3bab2c872194dcd985f1153b70782ec0fbbe348fffef340264eacd3a76d59fd6", size = 2683392, upload-time = "2026-02-18T18:41:06.563Z" },
+    { url = "https://files.pythonhosted.org/packages/42/e8/14b5853ebefd5b37723ef365c5318a30ce0702d39057eaa8d7d76392859d/numba-0.64.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:703a246c60832cad231d2e73c1182f25bf3cc8b699759ec8fe58a2dbc689a70c", size = 3812245, upload-time = "2026-02-18T18:41:07.963Z" },
+    { url = "https://files.pythonhosted.org/packages/8a/a2/f60dc6c96d19b7185144265a5fbf01c14993d37ff4cd324b09d0212aa7ce/numba-0.64.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7e2e49a7900ee971d32af7609adc0cfe6aa7477c6f6cccdf6d8138538cf7756f", size = 3511328, upload-time = "2026-02-18T18:41:09.504Z" },
+    { url = "https://files.pythonhosted.org/packages/9c/2a/fe7003ea7e7237ee7014f8eaeeb7b0d228a2db22572ca85bab2648cf52cb/numba-0.64.0-cp313-cp313-win_amd64.whl", hash = "sha256:396f43c3f77e78d7ec84cdfc6b04969c78f8f169351b3c4db814b97e7acf4245", size = 2752668, upload-time = "2026-02-18T18:41:11.455Z" },
+    { url = "https://files.pythonhosted.org/packages/3d/8a/77d26afe0988c592dd97cb8d4e80bfb3dfc7dbdacfca7d74a7c5c81dd8c2/numba-0.64.0-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:f565d55eaeff382cbc86c63c8c610347453af3d1e7afb2b6569aac1c9b5c93ce", size = 2683590, upload-time = "2026-02-18T18:41:12.897Z" },
+    { url = "https://files.pythonhosted.org/packages/8e/4b/600b8b7cdbc7f9cebee9ea3d13bb70052a79baf28944024ffcb59f0712e3/numba-0.64.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9b55169b18892c783f85e9ad9e6f5297a6d12967e4414e6b71361086025ff0bb", size = 3781163, upload-time = "2026-02-18T18:41:15.377Z" },
+    { url = "https://files.pythonhosted.org/packages/ff/73/53f2d32bfa45b7175e9944f6b816d8c32840178c3eee9325033db5bf838e/numba-0.64.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:196bcafa02c9dd1707e068434f6d5cedde0feb787e3432f7f1f0e993cc336c4c", size = 3481172, upload-time = "2026-02-18T18:41:17.281Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/00/aebd2f7f1e11e38814bb96e95a27580817a7b340608d3ac085fdbab83174/numba-0.64.0-cp314-cp314-win_amd64.whl", hash = "sha256:213e9acbe7f1c05090592e79020315c1749dd52517b90e94c517dca3f014d4a1", size = 2754700, upload-time = "2026-02-18T18:41:19.277Z" },
+]
+
+[[package]]
+name = "numpy"
+version = "2.4.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/10/8b/c265f4823726ab832de836cdd184d0986dcf94480f81e8739692a7ac7af2/numpy-2.4.3.tar.gz", hash = "sha256:483a201202b73495f00dbc83796c6ae63137a9bdade074f7648b3e32613412dd", size = 20727743, upload-time = "2026-03-09T07:58:53.426Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f9/51/5093a2df15c4dc19da3f79d1021e891f5dcf1d9d1db6ba38891d5590f3fe/numpy-2.4.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:33b3bf58ee84b172c067f56aeadc7ee9ab6de69c5e800ab5b10295d54c581adb", size = 16957183, upload-time = "2026-03-09T07:55:57.774Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/7c/c061f3de0630941073d2598dc271ac2f6cbcf5c83c74a5870fea07488333/numpy-2.4.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8ba7b51e71c05aa1f9bc3641463cd82308eab40ce0d5c7e1fd4038cbf9938147", size = 14968734, upload-time = "2026-03-09T07:56:00.494Z" },
+    { url = "https://files.pythonhosted.org/packages/ef/27/d26c85cbcd86b26e4f125b0668e7a7c0542d19dd7d23ee12e87b550e95b5/numpy-2.4.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:a1988292870c7cb9d0ebb4cc96b4d447513a9644801de54606dc7aabf2b7d920", size = 5475288, upload-time = "2026-03-09T07:56:02.857Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/09/3c4abbc1dcd8010bf1a611d174c7aa689fc505585ec806111b4406f6f1b1/numpy-2.4.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:23b46bb6d8ecb68b58c09944483c135ae5f0e9b8d8858ece5e4ead783771d2a9", size = 6805253, upload-time = "2026-03-09T07:56:04.53Z" },
+    { url = "https://files.pythonhosted.org/packages/21/bc/e7aa3f6817e40c3f517d407742337cbb8e6fc4b83ce0b55ab780c829243b/numpy-2.4.3-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a016db5c5dba78fa8fe9f5d80d6708f9c42ab087a739803c0ac83a43d686a470", size = 15969479, upload-time = "2026-03-09T07:56:06.638Z" },
+    { url = "https://files.pythonhosted.org/packages/78/51/9f5d7a41f0b51649ddf2f2320595e15e122a40610b233d51928dd6c92353/numpy-2.4.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:715de7f82e192e8cae5a507a347d97ad17598f8e026152ca97233e3666daaa71", size = 16901035, upload-time = "2026-03-09T07:56:09.405Z" },
+    { url = "https://files.pythonhosted.org/packages/64/6e/b221dd847d7181bc5ee4857bfb026182ef69499f9305eb1371cbb1aea626/numpy-2.4.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:2ddb7919366ee468342b91dea2352824c25b55814a987847b6c52003a7c97f15", size = 17325657, upload-time = "2026-03-09T07:56:12.067Z" },
+    { url = "https://files.pythonhosted.org/packages/eb/b8/8f3fd2da596e1063964b758b5e3c970aed1949a05200d7e3d46a9d46d643/numpy-2.4.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a315e5234d88067f2d97e1f2ef670a7569df445d55400f1e33d117418d008d52", size = 18635512, upload-time = "2026-03-09T07:56:14.629Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/24/2993b775c37e39d2f8ab4125b44337ab0b2ba106c100980b7c274a22bee7/numpy-2.4.3-cp311-cp311-win32.whl", hash = "sha256:2b3f8d2c4589b1a2028d2a770b0fc4d1f332fb5e01521f4de3199a896d158ddd", size = 6238100, upload-time = "2026-03-09T07:56:17.243Z" },
+    { url = "https://files.pythonhosted.org/packages/76/1d/edccf27adedb754db7c4511d5eac8b83f004ae948fe2d3509e8b78097d4c/numpy-2.4.3-cp311-cp311-win_amd64.whl", hash = "sha256:77e76d932c49a75617c6d13464e41203cd410956614d0a0e999b25e9e8d27eec", size = 12609816, upload-time = "2026-03-09T07:56:19.089Z" },
+    { url = "https://files.pythonhosted.org/packages/92/82/190b99153480076c8dce85f4cfe7d53ea84444145ffa54cb58dcd460d66b/numpy-2.4.3-cp311-cp311-win_arm64.whl", hash = "sha256:eb610595dd91560905c132c709412b512135a60f1851ccbd2c959e136431ff67", size = 10485757, upload-time = "2026-03-09T07:56:21.753Z" },
+    { url = "https://files.pythonhosted.org/packages/a9/ed/6388632536f9788cea23a3a1b629f25b43eaacd7d7377e5d6bc7b9deb69b/numpy-2.4.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:61b0cbabbb6126c8df63b9a3a0c4b1f44ebca5e12ff6997b80fcf267fb3150ef", size = 16669628, upload-time = "2026-03-09T07:56:24.252Z" },
+    { url = "https://files.pythonhosted.org/packages/74/1b/ee2abfc68e1ce728b2958b6ba831d65c62e1b13ce3017c13943f8f9b5b2e/numpy-2.4.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7395e69ff32526710748f92cd8c9849b361830968ea3e24a676f272653e8983e", size = 14696872, upload-time = "2026-03-09T07:56:26.991Z" },
+    { url = "https://files.pythonhosted.org/packages/ba/d1/780400e915ff5638166f11ca9dc2c5815189f3d7cf6f8759a1685e586413/numpy-2.4.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:abdce0f71dcb4a00e4e77f3faf05e4616ceccfe72ccaa07f47ee79cda3b7b0f4", size = 5203489, upload-time = "2026-03-09T07:56:29.414Z" },
+    { url = "https://files.pythonhosted.org/packages/0b/bb/baffa907e9da4cc34a6e556d6d90e032f6d7a75ea47968ea92b4858826c4/numpy-2.4.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:48da3a4ee1336454b07497ff7ec83903efa5505792c4e6d9bf83d99dc07a1e18", size = 6550814, upload-time = "2026-03-09T07:56:32.225Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/12/8c9f0c6c95f76aeb20fc4a699c33e9f827fa0d0f857747c73bb7b17af945/numpy-2.4.3-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:32e3bef222ad6b052280311d1d60db8e259e4947052c3ae7dd6817451fc8a4c5", size = 15666601, upload-time = "2026-03-09T07:56:34.461Z" },
+    { url = "https://files.pythonhosted.org/packages/bd/79/cc665495e4d57d0aa6fbcc0aa57aa82671dfc78fbf95fe733ed86d98f52a/numpy-2.4.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e7dd01a46700b1967487141a66ac1a3cf0dd8ebf1f08db37d46389401512ca97", size = 16621358, upload-time = "2026-03-09T07:56:36.852Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/40/b4ecb7224af1065c3539f5ecfff879d090de09608ad1008f02c05c770cb3/numpy-2.4.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:76f0f283506c28b12bba319c0fab98217e9f9b54e6160e9c79e9f7348ba32e9c", size = 17016135, upload-time = "2026-03-09T07:56:39.337Z" },
+    { url = "https://files.pythonhosted.org/packages/f7/b1/6a88e888052eed951afed7a142dcdf3b149a030ca59b4c71eef085858e43/numpy-2.4.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:737f630a337364665aba3b5a77e56a68cc42d350edd010c345d65a3efa3addcc", size = 18345816, upload-time = "2026-03-09T07:56:42.31Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/8f/103a60c5f8c3d7fc678c19cd7b2476110da689ccb80bc18050efbaeae183/numpy-2.4.3-cp312-cp312-win32.whl", hash = "sha256:26952e18d82a1dbbc2f008d402021baa8d6fc8e84347a2072a25e08b46d698b9", size = 5960132, upload-time = "2026-03-09T07:56:44.851Z" },
+    { url = "https://files.pythonhosted.org/packages/d7/7c/f5ee1bf6ed888494978046a809df2882aad35d414b622893322df7286879/numpy-2.4.3-cp312-cp312-win_amd64.whl", hash = "sha256:65f3c2455188f09678355f5cae1f959a06b778bc66d535da07bf2ef20cd319d5", size = 12316144, upload-time = "2026-03-09T07:56:47.057Z" },
+    { url = "https://files.pythonhosted.org/packages/71/46/8d1cb3f7a00f2fb6394140e7e6623696e54c6318a9d9691bb4904672cf42/numpy-2.4.3-cp312-cp312-win_arm64.whl", hash = "sha256:2abad5c7fef172b3377502bde47892439bae394a71bc329f31df0fd829b41a9e", size = 10220364, upload-time = "2026-03-09T07:56:49.849Z" },
+    { url = "https://files.pythonhosted.org/packages/b6/d0/1fe47a98ce0df229238b77611340aff92d52691bcbc10583303181abf7fc/numpy-2.4.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:b346845443716c8e542d54112966383b448f4a3ba5c66409771b8c0889485dd3", size = 16665297, upload-time = "2026-03-09T07:56:52.296Z" },
+    { url = "https://files.pythonhosted.org/packages/27/d9/4e7c3f0e68dfa91f21c6fb6cf839bc829ec920688b1ce7ec722b1a6202fb/numpy-2.4.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:2629289168f4897a3c4e23dc98d6f1731f0fc0fe52fb9db19f974041e4cc12b9", size = 14691853, upload-time = "2026-03-09T07:56:54.992Z" },
+    { url = "https://files.pythonhosted.org/packages/3a/66/bd096b13a87549683812b53ab211e6d413497f84e794fb3c39191948da97/numpy-2.4.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:bb2e3cf95854233799013779216c57e153c1ee67a0bf92138acca0e429aefaee", size = 5198435, upload-time = "2026-03-09T07:56:57.184Z" },
+    { url = "https://files.pythonhosted.org/packages/a2/2f/687722910b5a5601de2135c891108f51dfc873d8e43c8ed9f4ebb440b4a2/numpy-2.4.3-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:7f3408ff897f8ab07a07fbe2823d7aee6ff644c097cc1f90382511fe982f647f", size = 6546347, upload-time = "2026-03-09T07:56:59.531Z" },
+    { url = "https://files.pythonhosted.org/packages/bf/ec/7971c4e98d86c564750393fab8d7d83d0a9432a9d78bb8a163a6dc59967a/numpy-2.4.3-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:decb0eb8a53c3b009b0962378065589685d66b23467ef5dac16cbe818afde27f", size = 15664626, upload-time = "2026-03-09T07:57:01.385Z" },
+    { url = "https://files.pythonhosted.org/packages/7e/eb/7daecbea84ec935b7fc732e18f532073064a3816f0932a40a17f3349185f/numpy-2.4.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d5f51900414fc9204a0e0da158ba2ac52b75656e7dce7e77fb9f84bfa343b4cc", size = 16608916, upload-time = "2026-03-09T07:57:04.008Z" },
+    { url = "https://files.pythonhosted.org/packages/df/58/2a2b4a817ffd7472dca4421d9f0776898b364154e30c95f42195041dc03b/numpy-2.4.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:6bd06731541f89cdc01b261ba2c9e037f1543df7472517836b78dfb15bd6e476", size = 17015824, upload-time = "2026-03-09T07:57:06.347Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/ca/627a828d44e78a418c55f82dd4caea8ea4a8ef24e5144d9e71016e52fb40/numpy-2.4.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:22654fe6be0e5206f553a9250762c653d3698e46686eee53b399ab90da59bd92", size = 18334581, upload-time = "2026-03-09T07:57:09.114Z" },
+    { url = "https://files.pythonhosted.org/packages/cd/c0/76f93962fc79955fcba30a429b62304332345f22d4daec1cb33653425643/numpy-2.4.3-cp313-cp313-win32.whl", hash = "sha256:d71e379452a2f670ccb689ec801b1218cd3983e253105d6e83780967e899d687", size = 5958618, upload-time = "2026-03-09T07:57:11.432Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/3c/88af0040119209b9b5cb59485fa48b76f372c73068dbf9254784b975ac53/numpy-2.4.3-cp313-cp313-win_amd64.whl", hash = "sha256:0a60e17a14d640f49146cb38e3f105f571318db7826d9b6fef7e4dce758faecd", size = 12312824, upload-time = "2026-03-09T07:57:13.586Z" },
+    { url = "https://files.pythonhosted.org/packages/58/ce/3d07743aced3d173f877c3ef6a454c2174ba42b584ab0b7e6d99374f51ed/numpy-2.4.3-cp313-cp313-win_arm64.whl", hash = "sha256:c9619741e9da2059cd9c3f206110b97583c7152c1dc9f8aafd4beb450ac1c89d", size = 10221218, upload-time = "2026-03-09T07:57:16.183Z" },
+    { url = "https://files.pythonhosted.org/packages/62/09/d96b02a91d09e9d97862f4fc8bfebf5400f567d8eb1fe4b0cc4795679c15/numpy-2.4.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:7aa4e54f6469300ebca1d9eb80acd5253cdfa36f2c03d79a35883687da430875", size = 14819570, upload-time = "2026-03-09T07:57:18.564Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/ca/0b1aba3905fdfa3373d523b2b15b19029f4f3031c87f4066bd9d20ef6c6b/numpy-2.4.3-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:d1b90d840b25874cf5cd20c219af10bac3667db3876d9a495609273ebe679070", size = 5326113, upload-time = "2026-03-09T07:57:21.052Z" },
+    { url = "https://files.pythonhosted.org/packages/c0/63/406e0fd32fcaeb94180fd6a4c41e55736d676c54346b7efbce548b94a914/numpy-2.4.3-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:a749547700de0a20a6718293396ec237bb38218049cfce788e08fcb716e8cf73", size = 6646370, upload-time = "2026-03-09T07:57:22.804Z" },
+    { url = "https://files.pythonhosted.org/packages/b6/d0/10f7dc157d4b37af92720a196be6f54f889e90dcd30dce9dc657ed92c257/numpy-2.4.3-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:94f3c4a151a2e529adf49c1d54f0f57ff8f9b233ee4d44af623a81553ab86368", size = 15723499, upload-time = "2026-03-09T07:57:24.693Z" },
+    { url = "https://files.pythonhosted.org/packages/66/f1/d1c2bf1161396629701bc284d958dc1efa3a5a542aab83cf11ee6eb4cba5/numpy-2.4.3-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:22c31dc07025123aedf7f2db9e91783df13f1776dc52c6b22c620870dc0fab22", size = 16657164, upload-time = "2026-03-09T07:57:27.676Z" },
+    { url = "https://files.pythonhosted.org/packages/1a/be/cca19230b740af199ac47331a21c71e7a3d0ba59661350483c1600d28c37/numpy-2.4.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:148d59127ac95979d6f07e4d460f934ebdd6eed641db9c0db6c73026f2b2101a", size = 17081544, upload-time = "2026-03-09T07:57:30.664Z" },
+    { url = "https://files.pythonhosted.org/packages/b9/c5/9602b0cbb703a0936fb40f8a95407e8171935b15846de2f0776e08af04c7/numpy-2.4.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:a97cbf7e905c435865c2d939af3d93f99d18eaaa3cabe4256f4304fb51604349", size = 18380290, upload-time = "2026-03-09T07:57:33.763Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/81/9f24708953cd30be9ee36ec4778f4b112b45165812f2ada4cc5ea1c1f254/numpy-2.4.3-cp313-cp313t-win32.whl", hash = "sha256:be3b8487d725a77acccc9924f65fd8bce9af7fac8c9820df1049424a2115af6c", size = 6082814, upload-time = "2026-03-09T07:57:36.491Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/9e/52f6eaa13e1a799f0ab79066c17f7016a4a8ae0c1aefa58c82b4dab690b4/numpy-2.4.3-cp313-cp313t-win_amd64.whl", hash = "sha256:1ec84fd7c8e652b0f4aaaf2e6e9cc8eaa9b1b80a537e06b2e3a2fb176eedcb26", size = 12452673, upload-time = "2026-03-09T07:57:38.281Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/04/b8cece6ead0b30c9fbd99bb835ad7ea0112ac5f39f069788c5558e3b1ab2/numpy-2.4.3-cp313-cp313t-win_arm64.whl", hash = "sha256:120df8c0a81ebbf5b9020c91439fccd85f5e018a927a39f624845be194a2be02", size = 10290907, upload-time = "2026-03-09T07:57:40.747Z" },
+    { url = "https://files.pythonhosted.org/packages/70/ae/3936f79adebf8caf81bd7a599b90a561334a658be4dcc7b6329ebf4ee8de/numpy-2.4.3-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:5884ce5c7acfae1e4e1b6fde43797d10aa506074d25b531b4f54bde33c0c31d4", size = 16664563, upload-time = "2026-03-09T07:57:43.817Z" },
+    { url = "https://files.pythonhosted.org/packages/9b/62/760f2b55866b496bb1fa7da2a6db076bef908110e568b02fcfc1422e2a3a/numpy-2.4.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:297837823f5bc572c5f9379b0c9f3a3365f08492cbdc33bcc3af174372ebb168", size = 14702161, upload-time = "2026-03-09T07:57:46.169Z" },
+    { url = "https://files.pythonhosted.org/packages/32/af/a7a39464e2c0a21526fb4fb76e346fb172ebc92f6d1c7a07c2c139cc17b1/numpy-2.4.3-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:a111698b4a3f8dcbe54c64a7708f049355abd603e619013c346553c1fd4ca90b", size = 5208738, upload-time = "2026-03-09T07:57:48.506Z" },
+    { url = "https://files.pythonhosted.org/packages/29/8c/2a0cf86a59558fa078d83805589c2de490f29ed4fb336c14313a161d358a/numpy-2.4.3-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:4bd4741a6a676770e0e97fe9ab2e51de01183df3dcbcec591d26d331a40de950", size = 6543618, upload-time = "2026-03-09T07:57:50.591Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/b8/612ce010c0728b1c363fa4ea3aa4c22fe1c5da1de008486f8c2f5cb92fae/numpy-2.4.3-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:54f29b877279d51e210e0c80709ee14ccbbad647810e8f3d375561c45ef613dd", size = 15680676, upload-time = "2026-03-09T07:57:52.34Z" },
+    { url = "https://files.pythonhosted.org/packages/a9/7e/4f120ecc54ba26ddf3dc348eeb9eb063f421de65c05fc961941798feea18/numpy-2.4.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:679f2a834bae9020f81534671c56fd0cc76dd7e5182f57131478e23d0dc59e24", size = 16613492, upload-time = "2026-03-09T07:57:54.91Z" },
+    { url = "https://files.pythonhosted.org/packages/2c/86/1b6020db73be330c4b45d5c6ee4295d59cfeef0e3ea323959d053e5a6909/numpy-2.4.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:d84f0f881cb2225c2dfd7f78a10a5645d487a496c6668d6cc39f0f114164f3d0", size = 17031789, upload-time = "2026-03-09T07:57:57.641Z" },
+    { url = "https://files.pythonhosted.org/packages/07/3a/3b90463bf41ebc21d1b7e06079f03070334374208c0f9a1f05e4ae8455e7/numpy-2.4.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:d213c7e6e8d211888cc359bab7199670a00f5b82c0978b9d1c75baf1eddbeac0", size = 18339941, upload-time = "2026-03-09T07:58:00.577Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/74/6d736c4cd962259fd8bae9be27363eb4883a2f9069763747347544c2a487/numpy-2.4.3-cp314-cp314-win32.whl", hash = "sha256:52077feedeff7c76ed7c9f1a0428558e50825347b7545bbb8523da2cd55c547a", size = 6007503, upload-time = "2026-03-09T07:58:03.331Z" },
+    { url = "https://files.pythonhosted.org/packages/48/39/c56ef87af669364356bb011922ef0734fc49dad51964568634c72a009488/numpy-2.4.3-cp314-cp314-win_amd64.whl", hash = "sha256:0448e7f9caefb34b4b7dd2b77f21e8906e5d6f0365ad525f9f4f530b13df2afc", size = 12444915, upload-time = "2026-03-09T07:58:06.353Z" },
+    { url = "https://files.pythonhosted.org/packages/9d/1f/ab8528e38d295fd349310807496fabb7cf9fe2e1f70b97bc20a483ea9d4a/numpy-2.4.3-cp314-cp314-win_arm64.whl", hash = "sha256:b44fd60341c4d9783039598efadd03617fa28d041fc37d22b62d08f2027fa0e7", size = 10494875, upload-time = "2026-03-09T07:58:08.734Z" },
+    { url = "https://files.pythonhosted.org/packages/e6/ef/b7c35e4d5ef141b836658ab21a66d1a573e15b335b1d111d31f26c8ef80f/numpy-2.4.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:0a195f4216be9305a73c0e91c9b026a35f2161237cf1c6de9b681637772ea657", size = 14822225, upload-time = "2026-03-09T07:58:11.034Z" },
+    { url = "https://files.pythonhosted.org/packages/cd/8d/7730fa9278cf6648639946cc816e7cc89f0d891602584697923375f801ed/numpy-2.4.3-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:cd32fbacb9fd1bf041bf8e89e4576b6f00b895f06d00914820ae06a616bdfef7", size = 5328769, upload-time = "2026-03-09T07:58:13.67Z" },
+    { url = "https://files.pythonhosted.org/packages/47/01/d2a137317c958b074d338807c1b6a383406cdf8b8e53b075d804cc3d211d/numpy-2.4.3-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:2e03c05abaee1f672e9d67bc858f300b5ccba1c21397211e8d77d98350972093", size = 6649461, upload-time = "2026-03-09T07:58:15.912Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/34/812ce12bc0f00272a4b0ec0d713cd237cb390666eb6206323d1cc9cedbb2/numpy-2.4.3-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7d1ce23cce91fcea443320a9d0ece9b9305d4368875bab09538f7a5b4131938a", size = 15725809, upload-time = "2026-03-09T07:58:17.787Z" },
+    { url = "https://files.pythonhosted.org/packages/25/c0/2aed473a4823e905e765fee3dc2cbf504bd3e68ccb1150fbdabd5c39f527/numpy-2.4.3-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c59020932feb24ed49ffd03704fbab89f22aa9c0d4b180ff45542fe8918f5611", size = 16655242, upload-time = "2026-03-09T07:58:20.476Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/c8/7e052b2fc87aa0e86de23f20e2c42bd261c624748aa8efd2c78f7bb8d8c6/numpy-2.4.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:9684823a78a6cd6ad7511fc5e25b07947d1d5b5e2812c93fe99d7d4195130720", size = 17080660, upload-time = "2026-03-09T07:58:23.067Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/3d/0876746044db2adcb11549f214d104f2e1be00f07a67edbb4e2812094847/numpy-2.4.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:0200b25c687033316fb39f0ff4e3e690e8957a2c3c8d22499891ec58c37a3eb5", size = 18380384, upload-time = "2026-03-09T07:58:25.839Z" },
+    { url = "https://files.pythonhosted.org/packages/07/12/8160bea39da3335737b10308df4f484235fd297f556745f13092aa039d3b/numpy-2.4.3-cp314-cp314t-win32.whl", hash = "sha256:5e10da9e93247e554bb1d22f8edc51847ddd7dde52d85ce31024c1b4312bfba0", size = 6154547, upload-time = "2026-03-09T07:58:28.289Z" },
+    { url = "https://files.pythonhosted.org/packages/42/f3/76534f61f80d74cc9cdf2e570d3d4eeb92c2280a27c39b0aaf471eda7b48/numpy-2.4.3-cp314-cp314t-win_amd64.whl", hash = "sha256:45f003dbdffb997a03da2d1d0cb41fbd24a87507fb41605c0420a3db5bd4667b", size = 12633645, upload-time = "2026-03-09T07:58:30.384Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/b6/7c0d4334c15983cec7f92a69e8ce9b1e6f31857e5ee3a413ac424e6bd63d/numpy-2.4.3-cp314-cp314t-win_arm64.whl", hash = "sha256:4d382735cecd7bcf090172489a525cd7d4087bc331f7df9f60ddc9a296cf208e", size = 10565454, upload-time = "2026-03-09T07:58:33.031Z" },
+    { url = "https://files.pythonhosted.org/packages/64/e4/4dab9fb43c83719c29241c535d9e07be73bea4bc0c6686c5816d8e1b6689/numpy-2.4.3-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c6b124bfcafb9e8d3ed09130dbee44848c20b3e758b6bbf006e641778927c028", size = 16834892, upload-time = "2026-03-09T07:58:35.334Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/29/f8b6d4af90fed3dfda84ebc0df06c9833d38880c79ce954e5b661758aa31/numpy-2.4.3-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:76dbb9d4e43c16cf9aa711fcd8de1e2eeb27539dcefb60a1d5e9f12fae1d1ed8", size = 14893070, upload-time = "2026-03-09T07:58:37.7Z" },
+    { url = "https://files.pythonhosted.org/packages/9a/04/a19b3c91dbec0a49269407f15d5753673a09832daed40c45e8150e6fa558/numpy-2.4.3-pp311-pypy311_pp73-macosx_14_0_arm64.whl", hash = "sha256:29363fbfa6f8ee855d7569c96ce524845e3d726d6c19b29eceec7dd555dab152", size = 5399609, upload-time = "2026-03-09T07:58:39.853Z" },
+    { url = "https://files.pythonhosted.org/packages/79/34/4d73603f5420eab89ea8a67097b31364bf7c30f811d4dd84b1659c7476d9/numpy-2.4.3-pp311-pypy311_pp73-macosx_14_0_x86_64.whl", hash = "sha256:bc71942c789ef415a37f0d4eab90341425a00d538cd0642445d30b41023d3395", size = 6714355, upload-time = "2026-03-09T07:58:42.365Z" },
+    { url = "https://files.pythonhosted.org/packages/58/ad/1100d7229bb248394939a12a8074d485b655e8ed44207d328fdd7fcebc7b/numpy-2.4.3-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7e58765ad74dcebd3ef0208a5078fba32dc8ec3578fe84a604432950cd043d79", size = 15800434, upload-time = "2026-03-09T07:58:44.837Z" },
+    { url = "https://files.pythonhosted.org/packages/0c/fd/16d710c085d28ba4feaf29ac60c936c9d662e390344f94a6beaa2ac9899b/numpy-2.4.3-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8e236dbda4e1d319d681afcbb136c0c4a8e0f1a5c58ceec2adebb547357fe857", size = 16729409, upload-time = "2026-03-09T07:58:47.972Z" },
+    { url = "https://files.pythonhosted.org/packages/57/a7/b35835e278c18b85206834b3aa3abe68e77a98769c59233d1f6300284781/numpy-2.4.3-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:4b42639cdde6d24e732ff823a3fa5b701d8acad89c4142bc1d0bd6dc85200ba5", size = 12504685, upload-time = "2026-03-09T07:58:50.525Z" },
+]
+
+[[package]]
+name = "nvidia-cublas-cu12"
+version = "12.8.4.1"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/dc/61/e24b560ab2e2eaeb3c839129175fb330dfcfc29e5203196e5541a4c44682/nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:8ac4e771d5a348c551b2a426eda6193c19aa630236b418086020df5ba9667142", size = 594346921, upload-time = "2025-03-07T01:44:31.254Z" },
+]
+
+[[package]]
+name = "nvidia-cuda-cupti-cu12"
+version = "12.8.90"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f8/02/2adcaa145158bf1a8295d83591d22e4103dbfd821bcaf6f3f53151ca4ffa/nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ea0cb07ebda26bb9b29ba82cda34849e73c166c18162d3913575b0c9db9a6182", size = 10248621, upload-time = "2025-03-07T01:40:21.213Z" },
+]
+
+[[package]]
+name = "nvidia-cuda-nvrtc-cu12"
+version = "12.8.93"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/05/6b/32f747947df2da6994e999492ab306a903659555dddc0fbdeb9d71f75e52/nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:a7756528852ef889772a84c6cd89d41dfa74667e24cca16bb31f8f061e3e9994", size = 88040029, upload-time = "2025-03-07T01:42:13.562Z" },
+]
+
+[[package]]
+name = "nvidia-cuda-runtime-cu12"
+version = "12.8.90"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0d/9b/a997b638fcd068ad6e4d53b8551a7d30fe8b404d6f1804abf1df69838932/nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:adade8dcbd0edf427b7204d480d6066d33902cab2a4707dcfc48a2d0fd44ab90", size = 954765, upload-time = "2025-03-07T01:40:01.615Z" },
+]
+
+[[package]]
+name = "nvidia-cudnn-cu12"
+version = "9.10.2.21"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "nvidia-cublas-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
+]
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ba/51/e123d997aa098c61d029f76663dedbfb9bc8dcf8c60cbd6adbe42f76d049/nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8", size = 706758467, upload-time = "2025-06-06T21:54:08.597Z" },
+]
+
+[[package]]
+name = "nvidia-cufft-cu12"
+version = "11.3.3.83"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
+]
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1f/13/ee4e00f30e676b66ae65b4f08cb5bcbb8392c03f54f2d5413ea99a5d1c80/nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74", size = 193118695, upload-time = "2025-03-07T01:45:27.821Z" },
+]
+
+[[package]]
+name = "nvidia-cufile-cu12"
+version = "1.13.1.3"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/bb/fe/1bcba1dfbfb8d01be8d93f07bfc502c93fa23afa6fd5ab3fc7c1df71038a/nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1d069003be650e131b21c932ec3d8969c1715379251f8d23a1860554b1cb24fc", size = 1197834, upload-time = "2025-03-07T01:45:50.723Z" },
+]
+
+[[package]]
+name = "nvidia-curand-cu12"
+version = "10.3.9.90"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fb/aa/6584b56dc84ebe9cf93226a5cde4d99080c8e90ab40f0c27bda7a0f29aa1/nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:b32331d4f4df5d6eefa0554c565b626c7216f87a06a4f56fab27c3b68a830ec9", size = 63619976, upload-time = "2025-03-07T01:46:23.323Z" },
+]
+
+[[package]]
+name = "nvidia-cusolver-cu12"
+version = "11.7.3.90"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "nvidia-cublas-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
+    { name = "nvidia-cusparse-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
+    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
+]
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/85/48/9a13d2975803e8cf2777d5ed57b87a0b6ca2cc795f9a4f59796a910bfb80/nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:4376c11ad263152bd50ea295c05370360776f8c3427b30991df774f9fb26c450", size = 267506905, upload-time = "2025-03-07T01:47:16.273Z" },
+]
+
+[[package]]
+name = "nvidia-cusparse-cu12"
+version = "12.5.8.93"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
+]
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c2/f5/e1854cb2f2bcd4280c44736c93550cc300ff4b8c95ebe370d0aa7d2b473d/nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1ec05d76bbbd8b61b06a80e1eaf8cf4959c3d4ce8e711b65ebd0443bb0ebb13b", size = 288216466, upload-time = "2025-03-07T01:48:13.779Z" },
+]
+
+[[package]]
+name = "nvidia-cusparselt-cu12"
+version = "0.7.1"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/56/79/12978b96bd44274fe38b5dde5cfb660b1d114f70a65ef962bcbbed99b549/nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f1bb701d6b930d5a7cea44c19ceb973311500847f81b634d802b7b539dc55623", size = 287193691, upload-time = "2025-02-26T00:15:44.104Z" },
+]
+
+[[package]]
+name = "nvidia-nccl-cu12"
+version = "2.27.5"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/6e/89/f7a07dc961b60645dbbf42e80f2bc85ade7feb9a491b11a1e973aa00071f/nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ad730cf15cb5d25fe849c6e6ca9eb5b76db16a80f13f425ac68d8e2e55624457", size = 322348229, upload-time = "2025-06-26T04:11:28.385Z" },
+]
+
+[[package]]
+name = "nvidia-nvjitlink-cu12"
+version = "12.8.93"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f6/74/86a07f1d0f42998ca31312f998bd3b9a7eff7f52378f4f270c8679c77fb9/nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88", size = 39254836, upload-time = "2025-03-07T01:49:55.661Z" },
+]
+
+[[package]]
+name = "nvidia-nvshmem-cu12"
+version = "3.4.5"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b5/09/6ea3ea725f82e1e76684f0708bbedd871fc96da89945adeba65c3835a64c/nvidia_nvshmem_cu12-3.4.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:042f2500f24c021db8a06c5eec2539027d57460e1c1a762055a6554f72c369bd", size = 139103095, upload-time = "2025-09-06T00:32:31.266Z" },
+]
+
+[[package]]
+name = "nvidia-nvtx-cu12"
+version = "12.8.90"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a2/eb/86626c1bbc2edb86323022371c39aa48df6fd8b0a1647bc274577f72e90b/nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5b17e2001cc0d751a5bc2c6ec6d26ad95913324a4adb86788c944f8ce9ba441f", size = 89954, upload-time = "2025-03-07T01:42:44.131Z" },
+]
+
+[[package]]
+name = "opentelemetry-api"
+version = "1.40.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "importlib-metadata" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/2c/1d/4049a9e8698361cc1a1aa03a6c59e4fa4c71e0c0f94a30f988a6876a2ae6/opentelemetry_api-1.40.0.tar.gz", hash = "sha256:159be641c0b04d11e9ecd576906462773eb97ae1b657730f0ecf64d32071569f", size = 70851, upload-time = "2026-03-04T14:17:21.555Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/5f/bf/93795954016c522008da367da292adceed71cca6ee1717e1d64c83089099/opentelemetry_api-1.40.0-py3-none-any.whl", hash = "sha256:82dd69331ae74b06f6a874704be0cfaa49a1650e1537d4a813b86ecef7d0ecf9", size = 68676, upload-time = "2026-03-04T14:17:01.24Z" },
+]
+
+[[package]]
+name = "orjson"
+version = "3.11.7"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/53/45/b268004f745ede84e5798b48ee12b05129d19235d0e15267aa57dcdb400b/orjson-3.11.7.tar.gz", hash = "sha256:9b1a67243945819ce55d24a30b59d6a168e86220452d2c96f4d1f093e71c0c49", size = 6144992, upload-time = "2026-02-02T15:38:49.29Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/37/02/da6cb01fc6087048d7f61522c327edf4250f1683a58a839fdcc435746dd5/orjson-3.11.7-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:9487abc2c2086e7c8eb9a211d2ce8855bae0e92586279d0d27b341d5ad76c85c", size = 228664, upload-time = "2026-02-02T15:37:25.542Z" },
+    { url = "https://files.pythonhosted.org/packages/c1/c2/5885e7a5881dba9a9af51bc564e8967225a642b3e03d089289a35054e749/orjson-3.11.7-cp311-cp311-macosx_15_0_arm64.whl", hash = "sha256:79cacb0b52f6004caf92405a7e1f11e6e2de8bdf9019e4f76b44ba045125cd6b", size = 125344, upload-time = "2026-02-02T15:37:26.92Z" },
+    { url = "https://files.pythonhosted.org/packages/a4/1d/4e7688de0a92d1caf600dfd5fb70b4c5bfff51dfa61ac555072ef2d0d32a/orjson-3.11.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c2e85fe4698b6a56d5e2ebf7ae87544d668eb6bde1ad1226c13f44663f20ec9e", size = 128404, upload-time = "2026-02-02T15:37:28.108Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/b2/ec04b74ae03a125db7bd69cffd014b227b7f341e3261bf75b5eb88a1aa92/orjson-3.11.7-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b8d14b71c0b12963fe8a62aac87119f1afdf4cb88a400f61ca5ae581449efcb5", size = 123677, upload-time = "2026-02-02T15:37:30.287Z" },
+    { url = "https://files.pythonhosted.org/packages/4c/69/f95bdf960605f08f827f6e3291fe243d8aa9c5c9ff017a8d7232209184c3/orjson-3.11.7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:91c81ef070c8f3220054115e1ef468b1c9ce8497b4e526cb9f68ab4dc0a7ac62", size = 128950, upload-time = "2026-02-02T15:37:31.595Z" },
+    { url = "https://files.pythonhosted.org/packages/a4/1b/de59c57bae1d148ef298852abd31909ac3089cff370dfd4cd84cc99cbc42/orjson-3.11.7-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:411ebaf34d735e25e358a6d9e7978954a9c9d58cfb47bc6683cdc3964cd2f910", size = 141756, upload-time = "2026-02-02T15:37:32.985Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/9e/9decc59f4499f695f65c650f6cfa6cd4c37a3fbe8fa235a0a3614cb54386/orjson-3.11.7-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a16bcd08ab0bcdfc7e8801d9c4a9cc17e58418e4d48ddc6ded4e9e4b1a94062b", size = 130812, upload-time = "2026-02-02T15:37:34.204Z" },
+    { url = "https://files.pythonhosted.org/packages/28/e6/59f932bcabd1eac44e334fe8e3281a92eacfcb450586e1f4bde0423728d8/orjson-3.11.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c0b51672e466fd7e56230ffbae7f1639e18d0ce023351fb75da21b71bc2c960", size = 133444, upload-time = "2026-02-02T15:37:35.446Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/36/b0f05c0eaa7ca30bc965e37e6a2956b0d67adb87a9872942d3568da846ae/orjson-3.11.7-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:136dcd6a2e796dfd9ffca9fc027d778567b0b7c9968d092842d3c323cef88aa8", size = 138609, upload-time = "2026-02-02T15:37:36.657Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/03/58ec7d302b8d86944c60c7b4b82975d5161fcce4c9bc8c6cb1d6741b6115/orjson-3.11.7-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:7ba61079379b0ae29e117db13bda5f28d939766e410d321ec1624afc6a0b0504", size = 408918, upload-time = "2026-02-02T15:37:38.076Z" },
+    { url = "https://files.pythonhosted.org/packages/06/3a/868d65ef9a8b99be723bd510de491349618abd9f62c826cf206d962db295/orjson-3.11.7-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:0527a4510c300e3b406591b0ba69b5dc50031895b0a93743526a3fc45f59d26e", size = 143998, upload-time = "2026-02-02T15:37:39.706Z" },
+    { url = "https://files.pythonhosted.org/packages/5b/c7/1e18e1c83afe3349f4f6dc9e14910f0ae5f82eac756d1412ea4018938535/orjson-3.11.7-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a709e881723c9b18acddcfb8ba357322491ad553e277cf467e1e7e20e2d90561", size = 134802, upload-time = "2026-02-02T15:37:41.002Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/0b/ccb7ee1a65b37e8eeb8b267dc953561d72370e85185e459616d4345bab34/orjson-3.11.7-cp311-cp311-win32.whl", hash = "sha256:c43b8b5bab288b6b90dac410cca7e986a4fa747a2e8f94615aea407da706980d", size = 127828, upload-time = "2026-02-02T15:37:42.241Z" },
+    { url = "https://files.pythonhosted.org/packages/af/9e/55c776dffda3f381e0f07d010a4f5f3902bf48eaba1bb7684d301acd4924/orjson-3.11.7-cp311-cp311-win_amd64.whl", hash = "sha256:6543001328aa857187f905308a028935864aefe9968af3848401b6fe80dbb471", size = 124941, upload-time = "2026-02-02T15:37:43.444Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/8e/424a620fa7d263b880162505fb107ef5e0afaa765b5b06a88312ac291560/orjson-3.11.7-cp311-cp311-win_arm64.whl", hash = "sha256:1ee5cc7160a821dfe14f130bc8e63e7611051f964b463d9e2a3a573204446a4d", size = 126245, upload-time = "2026-02-02T15:37:45.18Z" },
+    { url = "https://files.pythonhosted.org/packages/80/bf/76f4f1665f6983385938f0e2a5d7efa12a58171b8456c252f3bae8a4cf75/orjson-3.11.7-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:bd03ea7606833655048dab1a00734a2875e3e86c276e1d772b2a02556f0d895f", size = 228545, upload-time = "2026-02-02T15:37:46.376Z" },
+    { url = "https://files.pythonhosted.org/packages/79/53/6c72c002cb13b5a978a068add59b25a8bdf2800ac1c9c8ecdb26d6d97064/orjson-3.11.7-cp312-cp312-macosx_15_0_arm64.whl", hash = "sha256:89e440ebc74ce8ab5c7bc4ce6757b4a6b1041becb127df818f6997b5c71aa60b", size = 125224, upload-time = "2026-02-02T15:37:47.697Z" },
+    { url = "https://files.pythonhosted.org/packages/2c/83/10e48852865e5dd151bdfe652c06f7da484578ed02c5fca938e3632cb0b8/orjson-3.11.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5ede977b5fe5ac91b1dffc0a517ca4542d2ec8a6a4ff7b2652d94f640796342a", size = 128154, upload-time = "2026-02-02T15:37:48.954Z" },
+    { url = "https://files.pythonhosted.org/packages/6e/52/a66e22a2b9abaa374b4a081d410edab6d1e30024707b87eab7c734afe28d/orjson-3.11.7-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b7b1dae39230a393df353827c855a5f176271c23434cfd2db74e0e424e693e10", size = 123548, upload-time = "2026-02-02T15:37:50.187Z" },
+    { url = "https://files.pythonhosted.org/packages/de/38/605d371417021359f4910c496f764c48ceb8997605f8c25bf1dfe58c0ebe/orjson-3.11.7-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ed46f17096e28fb28d2975834836a639af7278aa87c84f68ab08fbe5b8bd75fa", size = 129000, upload-time = "2026-02-02T15:37:51.426Z" },
+    { url = "https://files.pythonhosted.org/packages/44/98/af32e842b0ffd2335c89714d48ca4e3917b42f5d6ee5537832e069a4b3ac/orjson-3.11.7-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3726be79e36e526e3d9c1aceaadbfb4a04ee80a72ab47b3f3c17fefb9812e7b8", size = 141686, upload-time = "2026-02-02T15:37:52.607Z" },
+    { url = "https://files.pythonhosted.org/packages/96/0b/fc793858dfa54be6feee940c1463370ece34b3c39c1ca0aa3845f5ba9892/orjson-3.11.7-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0724e265bc548af1dedebd9cb3d24b4e1c1e685a343be43e87ba922a5c5fff2f", size = 130812, upload-time = "2026-02-02T15:37:53.944Z" },
+    { url = "https://files.pythonhosted.org/packages/dc/91/98a52415059db3f374757d0b7f0f16e3b5cd5976c90d1c2b56acaea039e6/orjson-3.11.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7745312efa9e11c17fbd3cb3097262d079da26930ae9ae7ba28fb738367cbad", size = 133440, upload-time = "2026-02-02T15:37:55.615Z" },
+    { url = "https://files.pythonhosted.org/packages/dc/b6/cb540117bda61791f46381f8c26c8f93e802892830a6055748d3bb1925ab/orjson-3.11.7-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:f904c24bdeabd4298f7a977ef14ca2a022ca921ed670b92ecd16ab6f3d01f867", size = 138386, upload-time = "2026-02-02T15:37:56.814Z" },
+    { url = "https://files.pythonhosted.org/packages/63/1a/50a3201c334a7f17c231eee5f841342190723794e3b06293f26e7cf87d31/orjson-3.11.7-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:b9fc4d0f81f394689e0814617aadc4f2ea0e8025f38c226cbf22d3b5ddbf025d", size = 408853, upload-time = "2026-02-02T15:37:58.291Z" },
+    { url = "https://files.pythonhosted.org/packages/87/cd/8de1c67d0be44fdc22701e5989c0d015a2adf391498ad42c4dc589cd3013/orjson-3.11.7-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:849e38203e5be40b776ed2718e587faf204d184fc9a008ae441f9442320c0cab", size = 144130, upload-time = "2026-02-02T15:38:00.163Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/fe/d605d700c35dd55f51710d159fc54516a280923cd1b7e47508982fbb387d/orjson-3.11.7-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:4682d1db3bcebd2b64757e0ddf9e87ae5f00d29d16c5cdf3a62f561d08cc3dd2", size = 134818, upload-time = "2026-02-02T15:38:01.507Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/e4/15ecc67edb3ddb3e2f46ae04475f2d294e8b60c1825fbe28a428b93b3fbd/orjson-3.11.7-cp312-cp312-win32.whl", hash = "sha256:f4f7c956b5215d949a1f65334cf9d7612dde38f20a95f2315deef167def91a6f", size = 127923, upload-time = "2026-02-02T15:38:02.75Z" },
+    { url = "https://files.pythonhosted.org/packages/34/70/2e0855361f76198a3965273048c8e50a9695d88cd75811a5b46444895845/orjson-3.11.7-cp312-cp312-win_amd64.whl", hash = "sha256:bf742e149121dc5648ba0a08ea0871e87b660467ef168a3a5e53bc1fbd64bb74", size = 125007, upload-time = "2026-02-02T15:38:04.032Z" },
+    { url = "https://files.pythonhosted.org/packages/68/40/c2051bd19fc467610fed469dc29e43ac65891571138f476834ca192bc290/orjson-3.11.7-cp312-cp312-win_arm64.whl", hash = "sha256:26c3b9132f783b7d7903bf1efb095fed8d4a3a85ec0d334ee8beff3d7a4749d5", size = 126089, upload-time = "2026-02-02T15:38:05.297Z" },
+    { url = "https://files.pythonhosted.org/packages/89/25/6e0e52cac5aab51d7b6dcd257e855e1dec1c2060f6b28566c509b4665f62/orjson-3.11.7-cp313-cp313-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:1d98b30cc1313d52d4af17d9c3d307b08389752ec5f2e5febdfada70b0f8c733", size = 228390, upload-time = "2026-02-02T15:38:06.8Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/29/a77f48d2fc8a05bbc529e5ff481fb43d914f9e383ea2469d4f3d51df3d00/orjson-3.11.7-cp313-cp313-macosx_15_0_arm64.whl", hash = "sha256:d897e81f8d0cbd2abb82226d1860ad2e1ab3ff16d7b08c96ca00df9d45409ef4", size = 125189, upload-time = "2026-02-02T15:38:08.181Z" },
+    { url = "https://files.pythonhosted.org/packages/89/25/0a16e0729a0e6a1504f9d1a13cdd365f030068aab64cec6958396b9969d7/orjson-3.11.7-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:814be4b49b228cfc0b3c565acf642dd7d13538f966e3ccde61f4f55be3e20785", size = 128106, upload-time = "2026-02-02T15:38:09.41Z" },
+    { url = "https://files.pythonhosted.org/packages/66/da/a2e505469d60666a05ab373f1a6322eb671cb2ba3a0ccfc7d4bc97196787/orjson-3.11.7-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d06e5c5fed5caedd2e540d62e5b1c25e8c82431b9e577c33537e5fa4aa909539", size = 123363, upload-time = "2026-02-02T15:38:10.73Z" },
+    { url = "https://files.pythonhosted.org/packages/23/bf/ed73f88396ea35c71b38961734ea4a4746f7ca0768bf28fd551d37e48dd0/orjson-3.11.7-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:31c80ce534ac4ea3739c5ee751270646cbc46e45aea7576a38ffec040b4029a1", size = 129007, upload-time = "2026-02-02T15:38:12.138Z" },
+    { url = "https://files.pythonhosted.org/packages/73/3c/b05d80716f0225fc9008fbf8ab22841dcc268a626aa550561743714ce3bf/orjson-3.11.7-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f50979824bde13d32b4320eedd513431c921102796d86be3eee0b58e58a3ecd1", size = 141667, upload-time = "2026-02-02T15:38:13.398Z" },
+    { url = "https://files.pythonhosted.org/packages/61/e8/0be9b0addd9bf86abfc938e97441dcd0375d494594b1c8ad10fe57479617/orjson-3.11.7-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9e54f3808e2b6b945078c41aa8d9b5834b28c50843846e97807e5adb75fa9705", size = 130832, upload-time = "2026-02-02T15:38:14.698Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/ec/c68e3b9021a31d9ec15a94931db1410136af862955854ed5dd7e7e4f5bff/orjson-3.11.7-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a12b80df61aab7b98b490fe9e4879925ba666fccdfcd175252ce4d9035865ace", size = 133373, upload-time = "2026-02-02T15:38:16.109Z" },
+    { url = "https://files.pythonhosted.org/packages/d2/45/f3466739aaafa570cc8e77c6dbb853c48bf56e3b43738020e2661e08b0ac/orjson-3.11.7-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:996b65230271f1a97026fd0e6a753f51fbc0c335d2ad0c6201f711b0da32693b", size = 138307, upload-time = "2026-02-02T15:38:17.453Z" },
+    { url = "https://files.pythonhosted.org/packages/e1/84/9f7f02288da1ffb31405c1be07657afd1eecbcb4b64ee2817b6fe0f785fa/orjson-3.11.7-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:ab49d4b2a6a1d415ddb9f37a21e02e0d5dbfe10b7870b21bf779fc21e9156157", size = 408695, upload-time = "2026-02-02T15:38:18.831Z" },
+    { url = "https://files.pythonhosted.org/packages/18/07/9dd2f0c0104f1a0295ffbe912bc8d63307a539b900dd9e2c48ef7810d971/orjson-3.11.7-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:390a1dce0c055ddf8adb6aa94a73b45a4a7d7177b5c584b8d1c1947f2ba60fb3", size = 144099, upload-time = "2026-02-02T15:38:20.28Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/66/857a8e4a3292e1f7b1b202883bcdeb43a91566cf59a93f97c53b44bd6801/orjson-3.11.7-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:1eb80451a9c351a71dfaf5b7ccc13ad065405217726b59fdbeadbcc544f9d223", size = 134806, upload-time = "2026-02-02T15:38:22.186Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/5b/6ebcf3defc1aab3a338ca777214966851e92efb1f30dc7fc8285216e6d1b/orjson-3.11.7-cp313-cp313-win32.whl", hash = "sha256:7477aa6a6ec6139c5cb1cc7b214643592169a5494d200397c7fc95d740d5fcf3", size = 127914, upload-time = "2026-02-02T15:38:23.511Z" },
+    { url = "https://files.pythonhosted.org/packages/00/04/c6f72daca5092e3117840a1b1e88dfc809cc1470cf0734890d0366b684a1/orjson-3.11.7-cp313-cp313-win_amd64.whl", hash = "sha256:b9f95dcdea9d4f805daa9ddf02617a89e484c6985fa03055459f90e87d7a0757", size = 124986, upload-time = "2026-02-02T15:38:24.836Z" },
+    { url = "https://files.pythonhosted.org/packages/03/ba/077a0f6f1085d6b806937246860fafbd5b17f3919c70ee3f3d8d9c713f38/orjson-3.11.7-cp313-cp313-win_arm64.whl", hash = "sha256:800988273a014a0541483dc81021247d7eacb0c845a9d1a34a422bc718f41539", size = 126045, upload-time = "2026-02-02T15:38:26.216Z" },
+    { url = "https://files.pythonhosted.org/packages/e9/1e/745565dca749813db9a093c5ebc4bac1a9475c64d54b95654336ac3ed961/orjson-3.11.7-cp314-cp314-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:de0a37f21d0d364954ad5de1970491d7fbd0fb1ef7417d4d56a36dc01ba0c0a0", size = 228391, upload-time = "2026-02-02T15:38:27.757Z" },
+    { url = "https://files.pythonhosted.org/packages/46/19/e40f6225da4d3aa0c8dc6e5219c5e87c2063a560fe0d72a88deb59776794/orjson-3.11.7-cp314-cp314-macosx_15_0_arm64.whl", hash = "sha256:c2428d358d85e8da9d37cba18b8c4047c55222007a84f97156a5b22028dfbfc0", size = 125188, upload-time = "2026-02-02T15:38:29.241Z" },
+    { url = "https://files.pythonhosted.org/packages/9d/7e/c4de2babef2c0817fd1f048fd176aa48c37bec8aef53d2fa932983032cce/orjson-3.11.7-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3c4bc6c6ac52cdaa267552544c73e486fecbd710b7ac09bc024d5a78555a22f6", size = 128097, upload-time = "2026-02-02T15:38:30.618Z" },
+    { url = "https://files.pythonhosted.org/packages/eb/74/233d360632bafd2197f217eee7fb9c9d0229eac0c18128aee5b35b0014fe/orjson-3.11.7-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bd0d68edd7dfca1b2eca9361a44ac9f24b078de3481003159929a0573f21a6bf", size = 123364, upload-time = "2026-02-02T15:38:32.363Z" },
+    { url = "https://files.pythonhosted.org/packages/79/51/af79504981dd31efe20a9e360eb49c15f06df2b40e7f25a0a52d9ae888e8/orjson-3.11.7-cp314-cp314-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:623ad1b9548ef63886319c16fa317848e465a21513b31a6ad7b57443c3e0dcf5", size = 129076, upload-time = "2026-02-02T15:38:33.68Z" },
+    { url = "https://files.pythonhosted.org/packages/67/e2/da898eb68b72304f8de05ca6715870d09d603ee98d30a27e8a9629abc64b/orjson-3.11.7-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6e776b998ac37c0396093d10290e60283f59cfe0fc3fccbd0ccc4bd04dd19892", size = 141705, upload-time = "2026-02-02T15:38:34.989Z" },
+    { url = "https://files.pythonhosted.org/packages/c5/89/15364d92acb3d903b029e28d834edb8780c2b97404cbf7929aa6b9abdb24/orjson-3.11.7-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:652c6c3af76716f4a9c290371ba2e390ede06f6603edb277b481daf37f6f464e", size = 130855, upload-time = "2026-02-02T15:38:36.379Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/8b/ecdad52d0b38d4b8f514be603e69ccd5eacf4e7241f972e37e79792212ec/orjson-3.11.7-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a56df3239294ea5964adf074c54bcc4f0ccd21636049a2cf3ca9cf03b5d03cf1", size = 133386, upload-time = "2026-02-02T15:38:37.704Z" },
+    { url = "https://files.pythonhosted.org/packages/b9/0e/45e1dcf10e17d0924b7c9162f87ec7b4ca79e28a0548acf6a71788d3e108/orjson-3.11.7-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:bda117c4148e81f746655d5a3239ae9bd00cb7bc3ca178b5fc5a5997e9744183", size = 138295, upload-time = "2026-02-02T15:38:39.096Z" },
+    { url = "https://files.pythonhosted.org/packages/63/d7/4d2e8b03561257af0450f2845b91fbd111d7e526ccdf737267108075e0ba/orjson-3.11.7-cp314-cp314-musllinux_1_2_armv7l.whl", hash = "sha256:23d6c20517a97a9daf1d48b580fcdc6f0516c6f4b5038823426033690b4d2650", size = 408720, upload-time = "2026-02-02T15:38:40.634Z" },
+    { url = "https://files.pythonhosted.org/packages/78/cf/d45343518282108b29c12a65892445fc51f9319dc3c552ceb51bb5905ed2/orjson-3.11.7-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:8ff206156006da5b847c9304b6308a01e8cdbc8cce824e2779a5ba71c3def141", size = 144152, upload-time = "2026-02-02T15:38:42.262Z" },
+    { url = "https://files.pythonhosted.org/packages/a9/3a/d6001f51a7275aacd342e77b735c71fa04125a3f93c36fee4526bc8c654e/orjson-3.11.7-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:962d046ee1765f74a1da723f4b33e3b228fe3a48bd307acce5021dfefe0e29b2", size = 134814, upload-time = "2026-02-02T15:38:43.627Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/d3/f19b47ce16820cc2c480f7f1723e17f6d411b3a295c60c8ad3aa9ff1c96a/orjson-3.11.7-cp314-cp314-win32.whl", hash = "sha256:89e13dd3f89f1c38a9c9eba5fbf7cdc2d1feca82f5f290864b4b7a6aac704576", size = 127997, upload-time = "2026-02-02T15:38:45.06Z" },
+    { url = "https://files.pythonhosted.org/packages/12/df/172771902943af54bf661a8d102bdf2e7f932127968080632bda6054b62c/orjson-3.11.7-cp314-cp314-win_amd64.whl", hash = "sha256:845c3e0d8ded9c9271cd79596b9b552448b885b97110f628fb687aee2eed11c1", size = 124985, upload-time = "2026-02-02T15:38:46.388Z" },
+    { url = "https://files.pythonhosted.org/packages/6f/1c/f2a8d8a1b17514660a614ce5f7aac74b934e69f5abc2700cc7ced882a009/orjson-3.11.7-cp314-cp314-win_arm64.whl", hash = "sha256:4a2e9c5be347b937a2e0203866f12bba36082e89b402ddb9e927d5822e43088d", size = 126038, upload-time = "2026-02-02T15:38:47.703Z" },
+]
+
+[[package]]
+name = "overrides"
+version = "7.7.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/36/86/b585f53236dec60aba864e050778b25045f857e17f6e5ea0ae95fe80edd2/overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a", size = 22812, upload-time = "2024-01-27T21:01:33.423Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2c/ab/fc8290c6a4c722e5514d80f62b2dc4c4df1a68a41d1364e625c35990fcf3/overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49", size = 17832, upload-time = "2024-01-27T21:01:31.393Z" },
+]
+
+[[package]]
+name = "packaging"
+version = "26.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/65/ee/299d360cdc32edc7d2cf530f3accf79c4fca01e96ffc950d8a52213bd8e4/packaging-26.0.tar.gz", hash = "sha256:00243ae351a257117b6a241061796684b084ed1c516a08c48a3f7e147a9d80b4", size = 143416, upload-time = "2026-01-21T20:50:39.064Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b7/b9/c538f279a4e237a006a2c98387d081e9eb060d203d8ed34467cc0f0b9b53/packaging-26.0-py3-none-any.whl", hash = "sha256:b36f1fef9334a5588b4166f8bcd26a14e521f2b55e6b9de3aaa80d3ff7a37529", size = 74366, upload-time = "2026-01-21T20:50:37.788Z" },
+]
+
+[[package]]
+name = "paginate"
+version = "0.5.7"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ec/46/68dde5b6bc00c1296ec6466ab27dddede6aec9af1b99090e1107091b3b84/paginate-0.5.7.tar.gz", hash = "sha256:22bd083ab41e1a8b4f3690544afb2c60c25e5c9a63a30fa2f483f6c60c8e5945", size = 19252, upload-time = "2024-08-25T14:17:24.139Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/90/96/04b8e52da071d28f5e21a805b19cb9390aa17a47462ac87f5e2696b9566d/paginate-0.5.7-py2.py3-none-any.whl", hash = "sha256:b885e2af73abcf01d9559fd5216b57ef722f8c42affbb63942377668e35c7591", size = 13746, upload-time = "2024-08-25T14:17:22.55Z" },
+]
+
+[[package]]
+name = "pandas"
+version = "3.0.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+    { name = "python-dateutil" },
+    { name = "tzdata", marker = "sys_platform == 'emscripten' or sys_platform == 'win32'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/2e/0c/b28ed414f080ee0ad153f848586d61d1878f91689950f037f976ce15f6c8/pandas-3.0.1.tar.gz", hash = "sha256:4186a699674af418f655dbd420ed87f50d56b4cd6603784279d9eef6627823c8", size = 4641901, upload-time = "2026-02-17T22:20:16.434Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ff/07/c7087e003ceee9b9a82539b40414ec557aa795b584a1a346e89180853d79/pandas-3.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:de09668c1bf3b925c07e5762291602f0d789eca1b3a781f99c1c78f6cac0e7ea", size = 10323380, upload-time = "2026-02-17T22:18:16.133Z" },
+    { url = "https://files.pythonhosted.org/packages/c1/27/90683c7122febeefe84a56f2cde86a9f05f68d53885cebcc473298dfc33e/pandas-3.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:24ba315ba3d6e5806063ac6eb717504e499ce30bd8c236d8693a5fd3f084c796", size = 9923455, upload-time = "2026-02-17T22:18:19.13Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/f1/ed17d927f9950643bc7631aa4c99ff0cc83a37864470bc419345b656a41f/pandas-3.0.1-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:406ce835c55bac912f2a0dcfaf27c06d73c6b04a5dde45f1fd3169ce31337389", size = 10753464, upload-time = "2026-02-17T22:18:21.134Z" },
+    { url = "https://files.pythonhosted.org/packages/2e/7c/870c7e7daec2a6c7ff2ac9e33b23317230d4e4e954b35112759ea4a924a7/pandas-3.0.1-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:830994d7e1f31dd7e790045235605ab61cff6c94defc774547e8b7fdfbff3dc7", size = 11255234, upload-time = "2026-02-17T22:18:24.175Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/39/3653fe59af68606282b989c23d1a543ceba6e8099cbcc5f1d506a7bae2aa/pandas-3.0.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a64ce8b0f2de1d2efd2ae40b0abe7f8ae6b29fbfb3812098ed5a6f8e235ad9bf", size = 11767299, upload-time = "2026-02-17T22:18:26.824Z" },
+    { url = "https://files.pythonhosted.org/packages/9b/31/1daf3c0c94a849c7a8dab8a69697b36d313b229918002ba3e409265c7888/pandas-3.0.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9832c2c69da24b602c32e0c7b1b508a03949c18ba08d4d9f1c1033426685b447", size = 12333292, upload-time = "2026-02-17T22:18:28.996Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/67/af63f83cd6ca603a00fe8530c10a60f0879265b8be00b5930e8e78c5b30b/pandas-3.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:84f0904a69e7365f79a0c77d3cdfccbfb05bf87847e3a51a41e1426b0edb9c79", size = 9892176, upload-time = "2026-02-17T22:18:31.79Z" },
+    { url = "https://files.pythonhosted.org/packages/79/ab/9c776b14ac4b7b4140788eca18468ea39894bc7340a408f1d1e379856a6b/pandas-3.0.1-cp311-cp311-win_arm64.whl", hash = "sha256:4a68773d5a778afb31d12e34f7dd4612ab90de8c6fb1d8ffe5d4a03b955082a1", size = 9151328, upload-time = "2026-02-17T22:18:35.721Z" },
+    { url = "https://files.pythonhosted.org/packages/37/51/b467209c08dae2c624873d7491ea47d2b47336e5403309d433ea79c38571/pandas-3.0.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:476f84f8c20c9f5bc47252b66b4bb25e1a9fc2fa98cead96744d8116cb85771d", size = 10344357, upload-time = "2026-02-17T22:18:38.262Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/f1/e2567ffc8951ab371db2e40b2fe068e36b81d8cf3260f06ae508700e5504/pandas-3.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0ab749dfba921edf641d4036c4c21c0b3ea70fea478165cb98a998fb2a261955", size = 9884543, upload-time = "2026-02-17T22:18:41.476Z" },
+    { url = "https://files.pythonhosted.org/packages/d7/39/327802e0b6d693182403c144edacbc27eb82907b57062f23ef5a4c4a5ea7/pandas-3.0.1-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b8e36891080b87823aff3640c78649b91b8ff6eea3c0d70aeabd72ea43ab069b", size = 10396030, upload-time = "2026-02-17T22:18:43.822Z" },
+    { url = "https://files.pythonhosted.org/packages/3d/fe/89d77e424365280b79d99b3e1e7d606f5165af2f2ecfaf0c6d24c799d607/pandas-3.0.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:532527a701281b9dd371e2f582ed9094f4c12dd9ffb82c0c54ee28d8ac9520c4", size = 10876435, upload-time = "2026-02-17T22:18:45.954Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/a6/2a75320849dd154a793f69c951db759aedb8d1dd3939eeacda9bdcfa1629/pandas-3.0.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:356e5c055ed9b0da1580d465657bc7d00635af4fd47f30afb23025352ba764d1", size = 11405133, upload-time = "2026-02-17T22:18:48.533Z" },
+    { url = "https://files.pythonhosted.org/packages/58/53/1d68fafb2e02d7881df66aa53be4cd748d25cbe311f3b3c85c93ea5d30ca/pandas-3.0.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:9d810036895f9ad6345b8f2a338dd6998a74e8483847403582cab67745bff821", size = 11932065, upload-time = "2026-02-17T22:18:50.837Z" },
+    { url = "https://files.pythonhosted.org/packages/75/08/67cc404b3a966b6df27b38370ddd96b3b023030b572283d035181854aac5/pandas-3.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:536232a5fe26dd989bd633e7a0c450705fdc86a207fec7254a55e9a22950fe43", size = 9741627, upload-time = "2026-02-17T22:18:53.905Z" },
+    { url = "https://files.pythonhosted.org/packages/86/4f/caf9952948fb00d23795f09b893d11f1cacb384e666854d87249530f7cbe/pandas-3.0.1-cp312-cp312-win_arm64.whl", hash = "sha256:0f463ebfd8de7f326d38037c7363c6dacb857c5881ab8961fb387804d6daf2f7", size = 9052483, upload-time = "2026-02-17T22:18:57.31Z" },
+    { url = "https://files.pythonhosted.org/packages/0b/48/aad6ec4f8d007534c091e9a7172b3ec1b1ee6d99a9cbb936b5eab6c6cf58/pandas-3.0.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:5272627187b5d9c20e55d27caf5f2cd23e286aba25cadf73c8590e432e2b7262", size = 10317509, upload-time = "2026-02-17T22:18:59.498Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/14/5990826f779f79148ae9d3a2c39593dc04d61d5d90541e71b5749f35af95/pandas-3.0.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:661e0f665932af88c7877f31da0dc743fe9c8f2524bdffe23d24fdcb67ef9d56", size = 9860561, upload-time = "2026-02-17T22:19:02.265Z" },
+    { url = "https://files.pythonhosted.org/packages/fa/80/f01ff54664b6d70fed71475543d108a9b7c888e923ad210795bef04ffb7d/pandas-3.0.1-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:75e6e292ff898679e47a2199172593d9f6107fd2dd3617c22c2946e97d5df46e", size = 10365506, upload-time = "2026-02-17T22:19:05.017Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/85/ab6d04733a7d6ff32bfc8382bf1b07078228f5d6ebec5266b91bfc5c4ff7/pandas-3.0.1-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1ff8cf1d2896e34343197685f432450ec99a85ba8d90cce2030c5eee2ef98791", size = 10873196, upload-time = "2026-02-17T22:19:07.204Z" },
+    { url = "https://files.pythonhosted.org/packages/48/a9/9301c83d0b47c23ac5deab91c6b39fd98d5b5db4d93b25df8d381451828f/pandas-3.0.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:eca8b4510f6763f3d37359c2105df03a7a221a508f30e396a51d0713d462e68a", size = 11370859, upload-time = "2026-02-17T22:19:09.436Z" },
+    { url = "https://files.pythonhosted.org/packages/59/fe/0c1fc5bd2d29c7db2ab372330063ad555fb83e08422829c785f5ec2176ca/pandas-3.0.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:06aff2ad6f0b94a17822cf8b83bbb563b090ed82ff4fe7712db2ce57cd50d9b8", size = 11924584, upload-time = "2026-02-17T22:19:11.562Z" },
+    { url = "https://files.pythonhosted.org/packages/d6/7d/216a1588b65a7aa5f4535570418a599d943c85afb1d95b0876fc00aa1468/pandas-3.0.1-cp313-cp313-win_amd64.whl", hash = "sha256:9fea306c783e28884c29057a1d9baa11a349bbf99538ec1da44c8476563d1b25", size = 9742769, upload-time = "2026-02-17T22:19:13.926Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/cb/810a22a6af9a4e97c8ab1c946b47f3489c5bca5adc483ce0ffc84c9cc768/pandas-3.0.1-cp313-cp313-win_arm64.whl", hash = "sha256:a8d37a43c52917427e897cb2e429f67a449327394396a81034a4449b99afda59", size = 9043855, upload-time = "2026-02-17T22:19:16.09Z" },
+    { url = "https://files.pythonhosted.org/packages/92/fa/423c89086cca1f039cf1253c3ff5b90f157b5b3757314aa635f6bf3e30aa/pandas-3.0.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:d54855f04f8246ed7b6fc96b05d4871591143c46c0b6f4af874764ed0d2d6f06", size = 10752673, upload-time = "2026-02-17T22:19:18.304Z" },
+    { url = "https://files.pythonhosted.org/packages/22/23/b5a08ec1f40020397f0faba72f1e2c11f7596a6169c7b3e800abff0e433f/pandas-3.0.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:4e1b677accee34a09e0dc2ce5624e4a58a1870ffe56fc021e9caf7f23cd7668f", size = 10404967, upload-time = "2026-02-17T22:19:20.726Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/81/94841f1bb4afdc2b52a99daa895ac2c61600bb72e26525ecc9543d453ebc/pandas-3.0.1-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a9cabbdcd03f1b6cd254d6dda8ae09b0252524be1592594c00b7895916cb1324", size = 10320575, upload-time = "2026-02-17T22:19:24.919Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/8b/2ae37d66a5342a83adadfd0cb0b4bf9c3c7925424dd5f40d15d6cfaa35ee/pandas-3.0.1-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5ae2ab1f166668b41e770650101e7090824fd34d17915dd9cd479f5c5e0065e9", size = 10710921, upload-time = "2026-02-17T22:19:27.181Z" },
+    { url = "https://files.pythonhosted.org/packages/a2/61/772b2e2757855e232b7ccf7cb8079a5711becb3a97f291c953def15a833f/pandas-3.0.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:6bf0603c2e30e2cafac32807b06435f28741135cb8697eae8b28c7d492fc7d76", size = 11334191, upload-time = "2026-02-17T22:19:29.411Z" },
+    { url = "https://files.pythonhosted.org/packages/1b/08/b16c6df3ef555d8495d1d265a7963b65be166785d28f06a350913a4fac78/pandas-3.0.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:6c426422973973cae1f4a23e51d4ae85974f44871b24844e4f7de752dd877098", size = 11782256, upload-time = "2026-02-17T22:19:32.34Z" },
+    { url = "https://files.pythonhosted.org/packages/55/80/178af0594890dee17e239fca96d3d8670ba0f5ff59b7d0439850924a9c09/pandas-3.0.1-cp313-cp313t-win_amd64.whl", hash = "sha256:b03f91ae8c10a85c1613102c7bef5229b5379f343030a3ccefeca8a33414cf35", size = 10485047, upload-time = "2026-02-17T22:19:34.605Z" },
+    { url = "https://files.pythonhosted.org/packages/bb/8b/4bb774a998b97e6c2fd62a9e6cfdaae133b636fd1c468f92afb4ae9a447a/pandas-3.0.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:99d0f92ed92d3083d140bf6b97774f9f13863924cf3f52a70711f4e7588f9d0a", size = 10322465, upload-time = "2026-02-17T22:19:36.803Z" },
+    { url = "https://files.pythonhosted.org/packages/72/3a/5b39b51c64159f470f1ca3b1c2a87da290657ca022f7cd11442606f607d1/pandas-3.0.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:3b66857e983208654294bb6477b8a63dee26b37bdd0eb34d010556e91261784f", size = 9910632, upload-time = "2026-02-17T22:19:39.001Z" },
+    { url = "https://files.pythonhosted.org/packages/4e/f7/b449ffb3f68c11da12fc06fbf6d2fa3a41c41e17d0284d23a79e1c13a7e4/pandas-3.0.1-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:56cf59638bf24dc9bdf2154c81e248b3289f9a09a6d04e63608c159022352749", size = 10440535, upload-time = "2026-02-17T22:19:41.157Z" },
+    { url = "https://files.pythonhosted.org/packages/55/77/6ea82043db22cb0f2bbfe7198da3544000ddaadb12d26be36e19b03a2dc5/pandas-3.0.1-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c1a9f55e0f46951874b863d1f3906dcb57df2d9be5c5847ba4dfb55b2c815249", size = 10893940, upload-time = "2026-02-17T22:19:43.493Z" },
+    { url = "https://files.pythonhosted.org/packages/03/30/f1b502a72468c89412c1b882a08f6eed8a4ee9dc033f35f65d0663df6081/pandas-3.0.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:1849f0bba9c8a2fb0f691d492b834cc8dadf617e29015c66e989448d58d011ee", size = 11442711, upload-time = "2026-02-17T22:19:46.074Z" },
+    { url = "https://files.pythonhosted.org/packages/0d/f0/ebb6ddd8fc049e98cabac5c2924d14d1dda26a20adb70d41ea2e428d3ec4/pandas-3.0.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:c3d288439e11b5325b02ae6e9cc83e6805a62c40c5a6220bea9beb899c073b1c", size = 11963918, upload-time = "2026-02-17T22:19:48.838Z" },
+    { url = "https://files.pythonhosted.org/packages/09/f8/8ce132104074f977f907442790eaae24e27bce3b3b454e82faa3237ff098/pandas-3.0.1-cp314-cp314-win_amd64.whl", hash = "sha256:93325b0fe372d192965f4cca88d97667f49557398bbf94abdda3bf1b591dbe66", size = 9862099, upload-time = "2026-02-17T22:19:51.081Z" },
+    { url = "https://files.pythonhosted.org/packages/e6/b7/6af9aac41ef2456b768ef0ae60acf8abcebb450a52043d030a65b4b7c9bd/pandas-3.0.1-cp314-cp314-win_arm64.whl", hash = "sha256:97ca08674e3287c7148f4858b01136f8bdfe7202ad25ad04fec602dd1d29d132", size = 9185333, upload-time = "2026-02-17T22:19:53.266Z" },
+    { url = "https://files.pythonhosted.org/packages/66/fc/848bb6710bc6061cb0c5badd65b92ff75c81302e0e31e496d00029fe4953/pandas-3.0.1-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:58eeb1b2e0fb322befcf2bbc9ba0af41e616abadb3d3414a6bc7167f6cbfce32", size = 10772664, upload-time = "2026-02-17T22:19:55.806Z" },
+    { url = "https://files.pythonhosted.org/packages/69/5c/866a9bbd0f79263b4b0db6ec1a341be13a1473323f05c122388e0f15b21d/pandas-3.0.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:cd9af1276b5ca9e298bd79a26bda32fa9cc87ed095b2a9a60978d2ca058eaf87", size = 10421286, upload-time = "2026-02-17T22:19:58.091Z" },
+    { url = "https://files.pythonhosted.org/packages/51/a4/2058fb84fb1cfbfb2d4a6d485e1940bb4ad5716e539d779852494479c580/pandas-3.0.1-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:94f87a04984d6b63788327cd9f79dda62b7f9043909d2440ceccf709249ca988", size = 10342050, upload-time = "2026-02-17T22:20:01.376Z" },
+    { url = "https://files.pythonhosted.org/packages/22/1b/674e89996cc4be74db3c4eb09240c4bb549865c9c3f5d9b086ff8fcfbf00/pandas-3.0.1-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:85fe4c4df62e1e20f9db6ebfb88c844b092c22cd5324bdcf94bfa2fc1b391221", size = 10740055, upload-time = "2026-02-17T22:20:04.328Z" },
+    { url = "https://files.pythonhosted.org/packages/d0/f8/e954b750764298c22fa4614376531fe63c521ef517e7059a51f062b87dca/pandas-3.0.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:331ca75a2f8672c365ae25c0b29e46f5ac0c6551fdace8eec4cd65e4fac271ff", size = 11357632, upload-time = "2026-02-17T22:20:06.647Z" },
+    { url = "https://files.pythonhosted.org/packages/6d/02/c6e04b694ffd68568297abd03588b6d30295265176a5c01b7459d3bc35a3/pandas-3.0.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:15860b1fdb1973fffade772fdb931ccf9b2f400a3f5665aef94a00445d7d8dd5", size = 11810974, upload-time = "2026-02-17T22:20:08.946Z" },
+    { url = "https://files.pythonhosted.org/packages/89/41/d7dfb63d2407f12055215070c42fc6ac41b66e90a2946cdc5e759058398b/pandas-3.0.1-cp314-cp314t-win_amd64.whl", hash = "sha256:44f1364411d5670efa692b146c748f4ed013df91ee91e9bec5677fb1fd58b937", size = 10884622, upload-time = "2026-02-17T22:20:11.711Z" },
+    { url = "https://files.pythonhosted.org/packages/68/b0/34937815889fa982613775e4b97fddd13250f11012d769949c5465af2150/pandas-3.0.1-cp314-cp314t-win_arm64.whl", hash = "sha256:108dd1790337a494aa80e38def654ca3f0968cf4f362c85f44c15e471667102d", size = 9452085, upload-time = "2026-02-17T22:20:14.331Z" },
+]
+
+[[package]]
+name = "pandocfilters"
+version = "1.5.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/70/6f/3dd4940bbe001c06a65f88e36bad298bc7a0de5036115639926b0c5c0458/pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e", size = 8454, upload-time = "2024-01-18T20:08:13.726Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ef/af/4fbc8cab944db5d21b7e2a5b8e9211a03a79852b1157e2c102fcc61ac440/pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc", size = 8663, upload-time = "2024-01-18T20:08:11.28Z" },
+]
+
+[[package]]
+name = "parso"
+version = "0.8.6"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/81/76/a1e769043c0c0c9fe391b702539d594731a4362334cdf4dc25d0c09761e7/parso-0.8.6.tar.gz", hash = "sha256:2b9a0332696df97d454fa67b81618fd69c35a7b90327cbe6ba5c92d2c68a7bfd", size = 401621, upload-time = "2026-02-09T15:45:24.425Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b6/61/fae042894f4296ec49e3f193aff5d7c18440da9e48102c3315e1bc4519a7/parso-0.8.6-py2.py3-none-any.whl", hash = "sha256:2c549f800b70a5c4952197248825584cb00f033b29c692671d3bf08bf380baff", size = 106894, upload-time = "2026-02-09T15:45:21.391Z" },
+]
+
+[[package]]
+name = "pathspec"
+version = "1.0.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/fa/36/e27608899f9b8d4dff0617b2d9ab17ca5608956ca44461ac14ac48b44015/pathspec-1.0.4.tar.gz", hash = "sha256:0210e2ae8a21a9137c0d470578cb0e595af87edaa6ebf12ff176f14a02e0e645", size = 131200, upload-time = "2026-01-27T03:59:46.938Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ef/3c/2c197d226f9ea224a9ab8d197933f9da0ae0aac5b6e0f884e2b8d9c8e9f7/pathspec-1.0.4-py3-none-any.whl", hash = "sha256:fb6ae2fd4e7c921a165808a552060e722767cfa526f99ca5156ed2ce45a5c723", size = 55206, upload-time = "2026-01-27T03:59:45.137Z" },
+]
+
+[[package]]
+name = "patsy"
+version = "1.0.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/be/44/ed13eccdd0519eff265f44b670d46fbb0ec813e2274932dc1c0e48520f7d/patsy-1.0.2.tar.gz", hash = "sha256:cdc995455f6233e90e22de72c37fcadb344e7586fb83f06696f54d92f8ce74c0", size = 399942, upload-time = "2025-10-20T16:17:37.535Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f1/70/ba4b949bdc0490ab78d545459acd7702b211dfccf7eb89bbc1060f52818d/patsy-1.0.2-py2.py3-none-any.whl", hash = "sha256:37bfddbc58fcf0362febb5f54f10743f8b21dd2aa73dec7e7ef59d1b02ae668a", size = 233301, upload-time = "2025-10-20T16:17:36.563Z" },
+]
+
+[[package]]
+name = "pexpect"
+version = "4.9.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "ptyprocess", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/42/92/cc564bf6381ff43ce1f4d06852fc19a2f11d180f23dc32d9588bee2f149d/pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f", size = 166450, upload-time = "2023-11-25T09:07:26.339Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/9e/c3/059298687310d527a58bb01f3b1965787ee3b40dce76752eda8b44e9a2c5/pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523", size = 63772, upload-time = "2023-11-25T06:56:14.81Z" },
+]
+
+[[package]]
+name = "pillow"
+version = "12.1.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/1f/42/5c74462b4fd957fcd7b13b04fb3205ff8349236ea74c7c375766d6c82288/pillow-12.1.1.tar.gz", hash = "sha256:9ad8fa5937ab05218e2b6a4cff30295ad35afd2f83ac592e68c0d871bb0fdbc4", size = 46980264, upload-time = "2026-02-11T04:23:07.146Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2b/46/5da1ec4a5171ee7bf1a0efa064aba70ba3d6e0788ce3f5acd1375d23c8c0/pillow-12.1.1-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:e879bb6cd5c73848ef3b2b48b8af9ff08c5b71ecda8048b7dd22d8a33f60be32", size = 5304084, upload-time = "2026-02-11T04:20:27.501Z" },
+    { url = "https://files.pythonhosted.org/packages/78/93/a29e9bc02d1cf557a834da780ceccd54e02421627200696fcf805ebdc3fb/pillow-12.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:365b10bb9417dd4498c0e3b128018c4a624dc11c7b97d8cc54effe3b096f4c38", size = 4657866, upload-time = "2026-02-11T04:20:29.827Z" },
+    { url = "https://files.pythonhosted.org/packages/13/84/583a4558d492a179d31e4aae32eadce94b9acf49c0337c4ce0b70e0a01f2/pillow-12.1.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d4ce8e329c93845720cd2014659ca67eac35f6433fd3050393d85f3ecef0dad5", size = 6232148, upload-time = "2026-02-11T04:20:31.329Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/e2/53c43334bbbb2d3b938978532fbda8e62bb6e0b23a26ce8592f36bcc4987/pillow-12.1.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fc354a04072b765eccf2204f588a7a532c9511e8b9c7f900e1b64e3e33487090", size = 8038007, upload-time = "2026-02-11T04:20:34.225Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/a6/3d0e79c8a9d58150dd98e199d7c1c56861027f3829a3a60b3c2784190180/pillow-12.1.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7e7976bf1910a8116b523b9f9f58bf410f3e8aa330cd9a2bb2953f9266ab49af", size = 6345418, upload-time = "2026-02-11T04:20:35.858Z" },
+    { url = "https://files.pythonhosted.org/packages/a2/c8/46dfeac5825e600579157eea177be43e2f7ff4a99da9d0d0a49533509ac5/pillow-12.1.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:597bd9c8419bc7c6af5604e55847789b69123bbe25d65cc6ad3012b4f3c98d8b", size = 7034590, upload-time = "2026-02-11T04:20:37.91Z" },
+    { url = "https://files.pythonhosted.org/packages/af/bf/e6f65d3db8a8bbfeaf9e13cc0417813f6319863a73de934f14b2229ada18/pillow-12.1.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:2c1fc0f2ca5f96a3c8407e41cca26a16e46b21060fe6d5b099d2cb01412222f5", size = 6458655, upload-time = "2026-02-11T04:20:39.496Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/c2/66091f3f34a25894ca129362e510b956ef26f8fb67a0e6417bc5744e56f1/pillow-12.1.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:578510d88c6229d735855e1f278aa305270438d36a05031dfaae5067cc8eb04d", size = 7159286, upload-time = "2026-02-11T04:20:41.139Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/5a/24bc8eb526a22f957d0cec6243146744966d40857e3d8deb68f7902ca6c1/pillow-12.1.1-cp311-cp311-win32.whl", hash = "sha256:7311c0a0dcadb89b36b7025dfd8326ecfa36964e29913074d47382706e516a7c", size = 6328663, upload-time = "2026-02-11T04:20:43.184Z" },
+    { url = "https://files.pythonhosted.org/packages/31/03/bef822e4f2d8f9d7448c133d0a18185d3cce3e70472774fffefe8b0ed562/pillow-12.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:fbfa2a7c10cc2623f412753cddf391c7f971c52ca40a3f65dc5039b2939e8563", size = 7031448, upload-time = "2026-02-11T04:20:44.696Z" },
+    { url = "https://files.pythonhosted.org/packages/49/70/f76296f53610bd17b2e7d31728b8b7825e3ac3b5b3688b51f52eab7c0818/pillow-12.1.1-cp311-cp311-win_arm64.whl", hash = "sha256:b81b5e3511211631b3f672a595e3221252c90af017e399056d0faabb9538aa80", size = 2453651, upload-time = "2026-02-11T04:20:46.243Z" },
+    { url = "https://files.pythonhosted.org/packages/07/d3/8df65da0d4df36b094351dce696f2989bec731d4f10e743b1c5f4da4d3bf/pillow-12.1.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:ab323b787d6e18b3d91a72fc99b1a2c28651e4358749842b8f8dfacd28ef2052", size = 5262803, upload-time = "2026-02-11T04:20:47.653Z" },
+    { url = "https://files.pythonhosted.org/packages/d6/71/5026395b290ff404b836e636f51d7297e6c83beceaa87c592718747e670f/pillow-12.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:adebb5bee0f0af4909c30db0d890c773d1a92ffe83da908e2e9e720f8edf3984", size = 4657601, upload-time = "2026-02-11T04:20:49.328Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/2e/1001613d941c67442f745aff0f7cc66dd8df9a9c084eb497e6a543ee6f7e/pillow-12.1.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:bb66b7cc26f50977108790e2456b7921e773f23db5630261102233eb355a3b79", size = 6234995, upload-time = "2026-02-11T04:20:51.032Z" },
+    { url = "https://files.pythonhosted.org/packages/07/26/246ab11455b2549b9233dbd44d358d033a2f780fa9007b61a913c5b2d24e/pillow-12.1.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:aee2810642b2898bb187ced9b349e95d2a7272930796e022efaf12e99dccd293", size = 8045012, upload-time = "2026-02-11T04:20:52.882Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/8b/07587069c27be7535ac1fe33874e32de118fbd34e2a73b7f83436a88368c/pillow-12.1.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a0b1cd6232e2b618adcc54d9882e4e662a089d5768cd188f7c245b4c8c44a397", size = 6349638, upload-time = "2026-02-11T04:20:54.444Z" },
+    { url = "https://files.pythonhosted.org/packages/ff/79/6df7b2ee763d619cda2fb4fea498e5f79d984dae304d45a8999b80d6cf5c/pillow-12.1.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7aac39bcf8d4770d089588a2e1dd111cbaa42df5a94be3114222057d68336bd0", size = 7041540, upload-time = "2026-02-11T04:20:55.97Z" },
+    { url = "https://files.pythonhosted.org/packages/2c/5e/2ba19e7e7236d7529f4d873bdaf317a318896bac289abebd4bb00ef247f0/pillow-12.1.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:ab174cd7d29a62dd139c44bf74b698039328f45cb03b4596c43473a46656b2f3", size = 6462613, upload-time = "2026-02-11T04:20:57.542Z" },
+    { url = "https://files.pythonhosted.org/packages/03/03/31216ec124bb5c3dacd74ce8efff4cc7f52643653bad4825f8f08c697743/pillow-12.1.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:339ffdcb7cbeaa08221cd401d517d4b1fe7a9ed5d400e4a8039719238620ca35", size = 7166745, upload-time = "2026-02-11T04:20:59.196Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/e7/7c4552d80052337eb28653b617eafdef39adfb137c49dd7e831b8dc13bc5/pillow-12.1.1-cp312-cp312-win32.whl", hash = "sha256:5d1f9575a12bed9e9eedd9a4972834b08c97a352bd17955ccdebfeca5913fa0a", size = 6328823, upload-time = "2026-02-11T04:21:01.385Z" },
+    { url = "https://files.pythonhosted.org/packages/3d/17/688626d192d7261bbbf98846fc98995726bddc2c945344b65bec3a29d731/pillow-12.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:21329ec8c96c6e979cd0dfd29406c40c1d52521a90544463057d2aaa937d66a6", size = 7033367, upload-time = "2026-02-11T04:21:03.536Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/fe/a0ef1f73f939b0eca03ee2c108d0043a87468664770612602c63266a43c4/pillow-12.1.1-cp312-cp312-win_arm64.whl", hash = "sha256:af9a332e572978f0218686636610555ae3defd1633597be015ed50289a03c523", size = 2453811, upload-time = "2026-02-11T04:21:05.116Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/11/6db24d4bd7685583caeae54b7009584e38da3c3d4488ed4cd25b439de486/pillow-12.1.1-cp313-cp313-ios_13_0_arm64_iphoneos.whl", hash = "sha256:d242e8ac078781f1de88bf823d70c1a9b3c7950a44cdf4b7c012e22ccbcd8e4e", size = 4062689, upload-time = "2026-02-11T04:21:06.804Z" },
+    { url = "https://files.pythonhosted.org/packages/33/c0/ce6d3b1fe190f0021203e0d9b5b99e57843e345f15f9ef22fcd43842fd21/pillow-12.1.1-cp313-cp313-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:02f84dfad02693676692746df05b89cf25597560db2857363a208e393429f5e9", size = 4138535, upload-time = "2026-02-11T04:21:08.452Z" },
+    { url = "https://files.pythonhosted.org/packages/a0/c6/d5eb6a4fb32a3f9c21a8c7613ec706534ea1cf9f4b3663e99f0d83f6fca8/pillow-12.1.1-cp313-cp313-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:e65498daf4b583091ccbb2556c7000abf0f3349fcd57ef7adc9a84a394ed29f6", size = 3601364, upload-time = "2026-02-11T04:21:10.194Z" },
+    { url = "https://files.pythonhosted.org/packages/14/a1/16c4b823838ba4c9c52c0e6bbda903a3fe5a1bdbf1b8eb4fff7156f3e318/pillow-12.1.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:6c6db3b84c87d48d0088943bf33440e0c42370b99b1c2a7989216f7b42eede60", size = 5262561, upload-time = "2026-02-11T04:21:11.742Z" },
+    { url = "https://files.pythonhosted.org/packages/bb/ad/ad9dc98ff24f485008aa5cdedaf1a219876f6f6c42a4626c08bc4e80b120/pillow-12.1.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:8b7e5304e34942bf62e15184219a7b5ad4ff7f3bb5cca4d984f37df1a0e1aee2", size = 4657460, upload-time = "2026-02-11T04:21:13.786Z" },
+    { url = "https://files.pythonhosted.org/packages/9e/1b/f1a4ea9a895b5732152789326202a82464d5254759fbacae4deea3069334/pillow-12.1.1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:18e5bddd742a44b7e6b1e773ab5db102bd7a94c32555ba656e76d319d19c3850", size = 6232698, upload-time = "2026-02-11T04:21:15.949Z" },
+    { url = "https://files.pythonhosted.org/packages/95/f4/86f51b8745070daf21fd2e5b1fe0eb35d4db9ca26e6d58366562fb56a743/pillow-12.1.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fc44ef1f3de4f45b50ccf9136999d71abb99dca7706bc75d222ed350b9fd2289", size = 8041706, upload-time = "2026-02-11T04:21:17.723Z" },
+    { url = "https://files.pythonhosted.org/packages/29/9b/d6ecd956bb1266dd1045e995cce9b8d77759e740953a1c9aad9502a0461e/pillow-12.1.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5a8eb7ed8d4198bccbd07058416eeec51686b498e784eda166395a23eb99138e", size = 6346621, upload-time = "2026-02-11T04:21:19.547Z" },
+    { url = "https://files.pythonhosted.org/packages/71/24/538bff45bde96535d7d998c6fed1a751c75ac7c53c37c90dc2601b243893/pillow-12.1.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:47b94983da0c642de92ced1702c5b6c292a84bd3a8e1d1702ff923f183594717", size = 7038069, upload-time = "2026-02-11T04:21:21.378Z" },
+    { url = "https://files.pythonhosted.org/packages/94/0e/58cb1a6bc48f746bc4cb3adb8cabff73e2742c92b3bf7a220b7cf69b9177/pillow-12.1.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:518a48c2aab7ce596d3bf79d0e275661b846e86e4d0e7dec34712c30fe07f02a", size = 6460040, upload-time = "2026-02-11T04:21:23.148Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/57/9045cb3ff11eeb6c1adce3b2d60d7d299d7b273a2e6c8381a524abfdc474/pillow-12.1.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:a550ae29b95c6dc13cf69e2c9dc5747f814c54eeb2e32d683e5e93af56caa029", size = 7164523, upload-time = "2026-02-11T04:21:25.01Z" },
+    { url = "https://files.pythonhosted.org/packages/73/f2/9be9cb99f2175f0d4dbadd6616ce1bf068ee54a28277ea1bf1fbf729c250/pillow-12.1.1-cp313-cp313-win32.whl", hash = "sha256:a003d7422449f6d1e3a34e3dd4110c22148336918ddbfc6a32581cd54b2e0b2b", size = 6332552, upload-time = "2026-02-11T04:21:27.238Z" },
+    { url = "https://files.pythonhosted.org/packages/3f/eb/b0834ad8b583d7d9d42b80becff092082a1c3c156bb582590fcc973f1c7c/pillow-12.1.1-cp313-cp313-win_amd64.whl", hash = "sha256:344cf1e3dab3be4b1fa08e449323d98a2a3f819ad20f4b22e77a0ede31f0faa1", size = 7040108, upload-time = "2026-02-11T04:21:29.462Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/7d/fc09634e2aabdd0feabaff4a32f4a7d97789223e7c2042fd805ea4b4d2c2/pillow-12.1.1-cp313-cp313-win_arm64.whl", hash = "sha256:5c0dd1636633e7e6a0afe7bf6a51a14992b7f8e60de5789018ebbdfae55b040a", size = 2453712, upload-time = "2026-02-11T04:21:31.072Z" },
+    { url = "https://files.pythonhosted.org/packages/19/2a/b9d62794fc8a0dd14c1943df68347badbd5511103e0d04c035ffe5cf2255/pillow-12.1.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0330d233c1a0ead844fc097a7d16c0abff4c12e856c0b325f231820fee1f39da", size = 5264880, upload-time = "2026-02-11T04:21:32.865Z" },
+    { url = "https://files.pythonhosted.org/packages/26/9d/e03d857d1347fa5ed9247e123fcd2a97b6220e15e9cb73ca0a8d91702c6e/pillow-12.1.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:5dae5f21afb91322f2ff791895ddd8889e5e947ff59f71b46041c8ce6db790bc", size = 4660616, upload-time = "2026-02-11T04:21:34.97Z" },
+    { url = "https://files.pythonhosted.org/packages/f7/ec/8a6d22afd02570d30954e043f09c32772bfe143ba9285e2fdb11284952cd/pillow-12.1.1-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2e0c664be47252947d870ac0d327fea7e63985a08794758aa8af5b6cb6ec0c9c", size = 6269008, upload-time = "2026-02-11T04:21:36.623Z" },
+    { url = "https://files.pythonhosted.org/packages/3d/1d/6d875422c9f28a4a361f495a5f68d9de4a66941dc2c619103ca335fa6446/pillow-12.1.1-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:691ab2ac363b8217f7d31b3497108fb1f50faab2f75dfb03284ec2f217e87bf8", size = 8073226, upload-time = "2026-02-11T04:21:38.585Z" },
+    { url = "https://files.pythonhosted.org/packages/a1/cd/134b0b6ee5eda6dc09e25e24b40fdafe11a520bc725c1d0bbaa5e00bf95b/pillow-12.1.1-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e9e8064fb1cc019296958595f6db671fba95209e3ceb0c4734c9baf97de04b20", size = 6380136, upload-time = "2026-02-11T04:21:40.562Z" },
+    { url = "https://files.pythonhosted.org/packages/7a/a9/7628f013f18f001c1b98d8fffe3452f306a70dc6aba7d931019e0492f45e/pillow-12.1.1-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:472a8d7ded663e6162dafdf20015c486a7009483ca671cece7a9279b512fcb13", size = 7067129, upload-time = "2026-02-11T04:21:42.521Z" },
+    { url = "https://files.pythonhosted.org/packages/1e/f8/66ab30a2193b277785601e82ee2d49f68ea575d9637e5e234faaa98efa4c/pillow-12.1.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:89b54027a766529136a06cfebeecb3a04900397a3590fd252160b888479517bf", size = 6491807, upload-time = "2026-02-11T04:21:44.22Z" },
+    { url = "https://files.pythonhosted.org/packages/da/0b/a877a6627dc8318fdb84e357c5e1a758c0941ab1ddffdafd231983788579/pillow-12.1.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:86172b0831b82ce4f7877f280055892b31179e1576aa00d0df3bb1bbf8c3e524", size = 7190954, upload-time = "2026-02-11T04:21:46.114Z" },
+    { url = "https://files.pythonhosted.org/packages/83/43/6f732ff85743cf746b1361b91665d9f5155e1483817f693f8d57ea93147f/pillow-12.1.1-cp313-cp313t-win32.whl", hash = "sha256:44ce27545b6efcf0fdbdceb31c9a5bdea9333e664cda58a7e674bb74608b3986", size = 6336441, upload-time = "2026-02-11T04:21:48.22Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/44/e865ef3986611bb75bfabdf94a590016ea327833f434558801122979cd0e/pillow-12.1.1-cp313-cp313t-win_amd64.whl", hash = "sha256:a285e3eb7a5a45a2ff504e31f4a8d1b12ef62e84e5411c6804a42197c1cf586c", size = 7045383, upload-time = "2026-02-11T04:21:50.015Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/c6/f4fb24268d0c6908b9f04143697ea18b0379490cb74ba9e8d41b898bd005/pillow-12.1.1-cp313-cp313t-win_arm64.whl", hash = "sha256:cc7d296b5ea4d29e6570dabeaed58d31c3fea35a633a69679fb03d7664f43fb3", size = 2456104, upload-time = "2026-02-11T04:21:51.633Z" },
+    { url = "https://files.pythonhosted.org/packages/03/d0/bebb3ffbf31c5a8e97241476c4cf8b9828954693ce6744b4a2326af3e16b/pillow-12.1.1-cp314-cp314-ios_13_0_arm64_iphoneos.whl", hash = "sha256:417423db963cb4be8bac3fc1204fe61610f6abeed1580a7a2cbb2fbda20f12af", size = 4062652, upload-time = "2026-02-11T04:21:53.19Z" },
+    { url = "https://files.pythonhosted.org/packages/2d/c0/0e16fb0addda4851445c28f8350d8c512f09de27bbb0d6d0bbf8b6709605/pillow-12.1.1-cp314-cp314-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:b957b71c6b2387610f556a7eb0828afbe40b4a98036fc0d2acfa5a44a0c2036f", size = 4138823, upload-time = "2026-02-11T04:22:03.088Z" },
+    { url = "https://files.pythonhosted.org/packages/6b/fb/6170ec655d6f6bb6630a013dd7cf7bc218423d7b5fa9071bf63dc32175ae/pillow-12.1.1-cp314-cp314-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:097690ba1f2efdeb165a20469d59d8bb03c55fb6621eb2041a060ae8ea3e9642", size = 3601143, upload-time = "2026-02-11T04:22:04.909Z" },
+    { url = "https://files.pythonhosted.org/packages/59/04/dc5c3f297510ba9a6837cbb318b87dd2b8f73eb41a43cc63767f65cb599c/pillow-12.1.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:2815a87ab27848db0321fb78c7f0b2c8649dee134b7f2b80c6a45c6831d75ccd", size = 5266254, upload-time = "2026-02-11T04:22:07.656Z" },
+    { url = "https://files.pythonhosted.org/packages/05/30/5db1236b0d6313f03ebf97f5e17cda9ca060f524b2fcc875149a8360b21c/pillow-12.1.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:f7ed2c6543bad5a7d5530eb9e78c53132f93dfa44a28492db88b41cdab885202", size = 4657499, upload-time = "2026-02-11T04:22:09.613Z" },
+    { url = "https://files.pythonhosted.org/packages/6f/18/008d2ca0eb612e81968e8be0bbae5051efba24d52debf930126d7eaacbba/pillow-12.1.1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:652a2c9ccfb556235b2b501a3a7cf3742148cd22e04b5625c5fe057ea3e3191f", size = 6232137, upload-time = "2026-02-11T04:22:11.434Z" },
+    { url = "https://files.pythonhosted.org/packages/70/f1/f14d5b8eeb4b2cd62b9f9f847eb6605f103df89ef619ac68f92f748614ea/pillow-12.1.1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d6e4571eedf43af33d0fc233a382a76e849badbccdf1ac438841308652a08e1f", size = 8042721, upload-time = "2026-02-11T04:22:13.321Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/d6/17824509146e4babbdabf04d8171491fa9d776f7061ff6e727522df9bd03/pillow-12.1.1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b574c51cf7d5d62e9be37ba446224b59a2da26dc4c1bb2ecbe936a4fb1a7cb7f", size = 6347798, upload-time = "2026-02-11T04:22:15.449Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/ee/c85a38a9ab92037a75615aba572c85ea51e605265036e00c5b67dfafbfe2/pillow-12.1.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a37691702ed687799de29a518d63d4682d9016932db66d4e90c345831b02fb4e", size = 7039315, upload-time = "2026-02-11T04:22:17.24Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/f3/bc8ccc6e08a148290d7523bde4d9a0d6c981db34631390dc6e6ec34cacf6/pillow-12.1.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:f95c00d5d6700b2b890479664a06e754974848afaae5e21beb4d83c106923fd0", size = 6462360, upload-time = "2026-02-11T04:22:19.111Z" },
+    { url = "https://files.pythonhosted.org/packages/f6/ab/69a42656adb1d0665ab051eec58a41f169ad295cf81ad45406963105408f/pillow-12.1.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:559b38da23606e68681337ad74622c4dbba02254fc9cb4488a305dd5975c7eeb", size = 7165438, upload-time = "2026-02-11T04:22:21.041Z" },
+    { url = "https://files.pythonhosted.org/packages/02/46/81f7aa8941873f0f01d4b55cc543b0a3d03ec2ee30d617a0448bf6bd6dec/pillow-12.1.1-cp314-cp314-win32.whl", hash = "sha256:03edcc34d688572014ff223c125a3f77fb08091e4607e7745002fc214070b35f", size = 6431503, upload-time = "2026-02-11T04:22:22.833Z" },
+    { url = "https://files.pythonhosted.org/packages/40/72/4c245f7d1044b67affc7f134a09ea619d4895333d35322b775b928180044/pillow-12.1.1-cp314-cp314-win_amd64.whl", hash = "sha256:50480dcd74fa63b8e78235957d302d98d98d82ccbfac4c7e12108ba9ecbdba15", size = 7176748, upload-time = "2026-02-11T04:22:24.64Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/ad/8a87bdbe038c5c698736e3348af5c2194ffb872ea52f11894c95f9305435/pillow-12.1.1-cp314-cp314-win_arm64.whl", hash = "sha256:5cb1785d97b0c3d1d1a16bc1d710c4a0049daefc4935f3a8f31f827f4d3d2e7f", size = 2544314, upload-time = "2026-02-11T04:22:26.685Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/9d/efd18493f9de13b87ede7c47e69184b9e859e4427225ea962e32e56a49bc/pillow-12.1.1-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:1f90cff8aa76835cba5769f0b3121a22bd4eb9e6884cfe338216e557a9a548b8", size = 5268612, upload-time = "2026-02-11T04:22:29.884Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/f1/4f42eb2b388eb2ffc660dcb7f7b556c1015c53ebd5f7f754965ef997585b/pillow-12.1.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:1f1be78ce9466a7ee64bfda57bdba0f7cc499d9794d518b854816c41bf0aa4e9", size = 4660567, upload-time = "2026-02-11T04:22:31.799Z" },
+    { url = "https://files.pythonhosted.org/packages/01/54/df6ef130fa43e4b82e32624a7b821a2be1c5653a5fdad8469687a7db4e00/pillow-12.1.1-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:42fc1f4677106188ad9a55562bbade416f8b55456f522430fadab3cef7cd4e60", size = 6269951, upload-time = "2026-02-11T04:22:33.921Z" },
+    { url = "https://files.pythonhosted.org/packages/a9/48/618752d06cc44bb4aae8ce0cd4e6426871929ed7b46215638088270d9b34/pillow-12.1.1-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:98edb152429ab62a1818039744d8fbb3ccab98a7c29fc3d5fcef158f3f1f68b7", size = 8074769, upload-time = "2026-02-11T04:22:35.877Z" },
+    { url = "https://files.pythonhosted.org/packages/c3/bd/f1d71eb39a72fa088d938655afba3e00b38018d052752f435838961127d8/pillow-12.1.1-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d470ab1178551dd17fdba0fef463359c41aaa613cdcd7ff8373f54be629f9f8f", size = 6381358, upload-time = "2026-02-11T04:22:37.698Z" },
+    { url = "https://files.pythonhosted.org/packages/64/ef/c784e20b96674ed36a5af839305f55616f8b4f8aa8eeccf8531a6e312243/pillow-12.1.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6408a7b064595afcab0a49393a413732a35788f2a5092fdc6266952ed67de586", size = 7068558, upload-time = "2026-02-11T04:22:39.597Z" },
+    { url = "https://files.pythonhosted.org/packages/73/cb/8059688b74422ae61278202c4e1ad992e8a2e7375227be0a21c6b87ca8d5/pillow-12.1.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:5d8c41325b382c07799a3682c1c258469ea2ff97103c53717b7893862d0c98ce", size = 6493028, upload-time = "2026-02-11T04:22:42.73Z" },
+    { url = "https://files.pythonhosted.org/packages/c6/da/e3c008ed7d2dd1f905b15949325934510b9d1931e5df999bb15972756818/pillow-12.1.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:c7697918b5be27424e9ce568193efd13d925c4481dd364e43f5dff72d33e10f8", size = 7191940, upload-time = "2026-02-11T04:22:44.543Z" },
+    { url = "https://files.pythonhosted.org/packages/01/4a/9202e8d11714c1fc5951f2e1ef362f2d7fbc595e1f6717971d5dd750e969/pillow-12.1.1-cp314-cp314t-win32.whl", hash = "sha256:d2912fd8114fc5545aa3a4b5576512f64c55a03f3ebcca4c10194d593d43ea36", size = 6438736, upload-time = "2026-02-11T04:22:46.347Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/ca/cbce2327eb9885476b3957b2e82eb12c866a8b16ad77392864ad601022ce/pillow-12.1.1-cp314-cp314t-win_amd64.whl", hash = "sha256:4ceb838d4bd9dab43e06c363cab2eebf63846d6a4aeaea283bbdfd8f1a8ed58b", size = 7182894, upload-time = "2026-02-11T04:22:48.114Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/d2/de599c95ba0a973b94410477f8bf0b6f0b5e67360eb89bcb1ad365258beb/pillow-12.1.1-cp314-cp314t-win_arm64.whl", hash = "sha256:7b03048319bfc6170e93bd60728a1af51d3dd7704935feb228c4d4faab35d334", size = 2546446, upload-time = "2026-02-11T04:22:50.342Z" },
+    { url = "https://files.pythonhosted.org/packages/56/11/5d43209aa4cb58e0cc80127956ff1796a68b928e6324bbf06ef4db34367b/pillow-12.1.1-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:600fd103672b925fe62ed08e0d874ea34d692474df6f4bf7ebe148b30f89f39f", size = 5228606, upload-time = "2026-02-11T04:22:52.106Z" },
+    { url = "https://files.pythonhosted.org/packages/5f/d5/3b005b4e4fda6698b371fa6c21b097d4707585d7db99e98d9b0b87ac612a/pillow-12.1.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:665e1b916b043cef294bc54d47bf02d87e13f769bc4bc5fa225a24b3a6c5aca9", size = 4622321, upload-time = "2026-02-11T04:22:53.827Z" },
+    { url = "https://files.pythonhosted.org/packages/df/36/ed3ea2d594356fd8037e5a01f6156c74bc8d92dbb0fa60746cc96cabb6e8/pillow-12.1.1-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:495c302af3aad1ca67420ddd5c7bd480c8867ad173528767d906428057a11f0e", size = 5247579, upload-time = "2026-02-11T04:22:56.094Z" },
+    { url = "https://files.pythonhosted.org/packages/54/9a/9cc3e029683cf6d20ae5085da0dafc63148e3252c2f13328e553aaa13cfb/pillow-12.1.1-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8fd420ef0c52c88b5a035a0886f367748c72147b2b8f384c9d12656678dfdfa9", size = 6989094, upload-time = "2026-02-11T04:22:58.288Z" },
+    { url = "https://files.pythonhosted.org/packages/00/98/fc53ab36da80b88df0967896b6c4b4cd948a0dc5aa40a754266aa3ae48b3/pillow-12.1.1-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f975aa7ef9684ce7e2c18a3aa8f8e2106ce1e46b94ab713d156b2898811651d3", size = 5313850, upload-time = "2026-02-11T04:23:00.554Z" },
+    { url = "https://files.pythonhosted.org/packages/30/02/00fa585abfd9fe9d73e5f6e554dc36cc2b842898cbfc46d70353dae227f8/pillow-12.1.1-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8089c852a56c2966cf18835db62d9b34fef7ba74c726ad943928d494fa7f4735", size = 5963343, upload-time = "2026-02-11T04:23:02.934Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/26/c56ce33ca856e358d27fda9676c055395abddb82c35ac0f593877ed4562e/pillow-12.1.1-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:cb9bb857b2d057c6dfc72ac5f3b44836924ba15721882ef103cecb40d002d80e", size = 7029880, upload-time = "2026-02-11T04:23:04.783Z" },
+]
+
+[[package]]
+name = "pip"
+version = "26.0.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/48/83/0d7d4e9efe3344b8e2fe25d93be44f64b65364d3c8d7bc6dc90198d5422e/pip-26.0.1.tar.gz", hash = "sha256:c4037d8a277c89b320abe636d59f91e6d0922d08a05b60e85e53b296613346d8", size = 1812747, upload-time = "2026-02-05T02:20:18.702Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/de/f0/c81e05b613866b76d2d1066490adf1a3dbc4ee9d9c839961c3fc8a6997af/pip-26.0.1-py3-none-any.whl", hash = "sha256:bdb1b08f4274833d62c1aa29e20907365a2ceb950410df15fc9521bad440122b", size = 1787723, upload-time = "2026-02-05T02:20:16.416Z" },
+]
+
+[[package]]
+name = "platformdirs"
+version = "4.9.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/19/56/8d4c30c8a1d07013911a8fdbd8f89440ef9f08d07a1b50ab8ca8be5a20f9/platformdirs-4.9.4.tar.gz", hash = "sha256:1ec356301b7dc906d83f371c8f487070e99d3ccf9e501686456394622a01a934", size = 28737, upload-time = "2026-03-05T18:34:13.271Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/63/d7/97f7e3a6abb67d8080dd406fd4df842c2be0efaf712d1c899c32a075027c/platformdirs-4.9.4-py3-none-any.whl", hash = "sha256:68a9a4619a666ea6439f2ff250c12a853cd1cbd5158d258bd824a7df6be2f868", size = 21216, upload-time = "2026-03-05T18:34:12.172Z" },
+]
+
+[[package]]
+name = "pluggy"
+version = "1.6.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f9/e2/3e91f31a7d2b083fe6ef3fa267035b518369d9511ffab804f839851d2779/pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3", size = 69412, upload-time = "2025-05-15T12:30:07.975Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/54/20/4d324d65cc6d9205fabedc306948156824eb9f0ee1633355a8f7ec5c66bf/pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746", size = 20538, upload-time = "2025-05-15T12:30:06.134Z" },
+]
+
+[[package]]
+name = "pooch"
+version = "1.9.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "packaging" },
+    { name = "platformdirs" },
+    { name = "requests" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/83/43/85ef45e8b36c6a48546af7b266592dc32d7f67837a6514d111bced6d7d75/pooch-1.9.0.tar.gz", hash = "sha256:de46729579b9857ffd3e741987a2f6d5e0e03219892c167c6578c0091fb511ed", size = 61788, upload-time = "2026-01-30T19:15:09.649Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2a/2d/d4bf65e47cea8ff2c794a600c4fd1273a7902f268757c531e0ee9f18aa58/pooch-1.9.0-py3-none-any.whl", hash = "sha256:f265597baa9f760d25ceb29d0beb8186c243d6607b0f60b83ecf14078dbc703b", size = 67175, upload-time = "2026-01-30T19:15:08.36Z" },
+]
+
+[[package]]
+name = "prometheus-client"
+version = "0.24.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f0/58/a794d23feb6b00fc0c72787d7e87d872a6730dd9ed7c7b3e954637d8f280/prometheus_client-0.24.1.tar.gz", hash = "sha256:7e0ced7fbbd40f7b84962d5d2ab6f17ef88a72504dcf7c0b40737b43b2a461f9", size = 85616, upload-time = "2026-01-14T15:26:26.965Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/74/c3/24a2f845e3917201628ecaba4f18bab4d18a337834c1df2a159ee9d22a42/prometheus_client-0.24.1-py3-none-any.whl", hash = "sha256:150db128af71a5c2482b36e588fc8a6b95e498750da4b17065947c16070f4055", size = 64057, upload-time = "2026-01-14T15:26:24.42Z" },
+]
+
+[[package]]
+name = "prompt-toolkit"
+version = "3.0.52"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "wcwidth" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/a1/96/06e01a7b38dce6fe1db213e061a4602dd6032a8a97ef6c1a862537732421/prompt_toolkit-3.0.52.tar.gz", hash = "sha256:28cde192929c8e7321de85de1ddbe736f1375148b02f2e17edd840042b1be855", size = 434198, upload-time = "2025-08-27T15:24:02.057Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/84/03/0d3ce49e2505ae70cf43bc5bb3033955d2fc9f932163e84dc0779cc47f48/prompt_toolkit-3.0.52-py3-none-any.whl", hash = "sha256:9aac639a3bbd33284347de5ad8d68ecc044b91a762dc39b7c21095fcd6a19955", size = 391431, upload-time = "2025-08-27T15:23:59.498Z" },
+]
+
+[[package]]
+name = "psutil"
+version = "7.2.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/aa/c6/d1ddf4abb55e93cebc4f2ed8b5d6dbad109ecb8d63748dd2b20ab5e57ebe/psutil-7.2.2.tar.gz", hash = "sha256:0746f5f8d406af344fd547f1c8daa5f5c33dbc293bb8d6a16d80b4bb88f59372", size = 493740, upload-time = "2026-01-28T18:14:54.428Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/51/08/510cbdb69c25a96f4ae523f733cdc963ae654904e8db864c07585ef99875/psutil-7.2.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:2edccc433cbfa046b980b0df0171cd25bcaeb3a68fe9022db0979e7aa74a826b", size = 130595, upload-time = "2026-01-28T18:14:57.293Z" },
+    { url = "https://files.pythonhosted.org/packages/d6/f5/97baea3fe7a5a9af7436301f85490905379b1c6f2dd51fe3ecf24b4c5fbf/psutil-7.2.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:e78c8603dcd9a04c7364f1a3e670cea95d51ee865e4efb3556a3a63adef958ea", size = 131082, upload-time = "2026-01-28T18:14:59.732Z" },
+    { url = "https://files.pythonhosted.org/packages/37/d6/246513fbf9fa174af531f28412297dd05241d97a75911ac8febefa1a53c6/psutil-7.2.2-cp313-cp313t-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1a571f2330c966c62aeda00dd24620425d4b0cc86881c89861fbc04549e5dc63", size = 181476, upload-time = "2026-01-28T18:15:01.884Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/b5/9182c9af3836cca61696dabe4fd1304e17bc56cb62f17439e1154f225dd3/psutil-7.2.2-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:917e891983ca3c1887b4ef36447b1e0873e70c933afc831c6b6da078ba474312", size = 184062, upload-time = "2026-01-28T18:15:04.436Z" },
+    { url = "https://files.pythonhosted.org/packages/16/ba/0756dca669f5a9300d0cbcbfae9a4c30e446dfc7440ffe43ded5724bfd93/psutil-7.2.2-cp313-cp313t-win_amd64.whl", hash = "sha256:ab486563df44c17f5173621c7b198955bd6b613fb87c71c161f827d3fb149a9b", size = 139893, upload-time = "2026-01-28T18:15:06.378Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/61/8fa0e26f33623b49949346de05ec1ddaad02ed8ba64af45f40a147dbfa97/psutil-7.2.2-cp313-cp313t-win_arm64.whl", hash = "sha256:ae0aefdd8796a7737eccea863f80f81e468a1e4cf14d926bd9b6f5f2d5f90ca9", size = 135589, upload-time = "2026-01-28T18:15:08.03Z" },
+    { url = "https://files.pythonhosted.org/packages/81/69/ef179ab5ca24f32acc1dac0c247fd6a13b501fd5534dbae0e05a1c48b66d/psutil-7.2.2-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:eed63d3b4d62449571547b60578c5b2c4bcccc5387148db46e0c2313dad0ee00", size = 130664, upload-time = "2026-01-28T18:15:09.469Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/64/665248b557a236d3fa9efc378d60d95ef56dd0a490c2cd37dafc7660d4a9/psutil-7.2.2-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:7b6d09433a10592ce39b13d7be5a54fbac1d1228ed29abc880fb23df7cb694c9", size = 131087, upload-time = "2026-01-28T18:15:11.724Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/2e/e6782744700d6759ebce3043dcfa661fb61e2fb752b91cdeae9af12c2178/psutil-7.2.2-cp314-cp314t-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1fa4ecf83bcdf6e6c8f4449aff98eefb5d0604bf88cb883d7da3d8d2d909546a", size = 182383, upload-time = "2026-01-28T18:15:13.445Z" },
+    { url = "https://files.pythonhosted.org/packages/57/49/0a41cefd10cb7505cdc04dab3eacf24c0c2cb158a998b8c7b1d27ee2c1f5/psutil-7.2.2-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e452c464a02e7dc7822a05d25db4cde564444a67e58539a00f929c51eddda0cf", size = 185210, upload-time = "2026-01-28T18:15:16.002Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/2c/ff9bfb544f283ba5f83ba725a3c5fec6d6b10b8f27ac1dc641c473dc390d/psutil-7.2.2-cp314-cp314t-win_amd64.whl", hash = "sha256:c7663d4e37f13e884d13994247449e9f8f574bc4655d509c3b95e9ec9e2b9dc1", size = 141228, upload-time = "2026-01-28T18:15:18.385Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/fc/f8d9c31db14fcec13748d373e668bc3bed94d9077dbc17fb0eebc073233c/psutil-7.2.2-cp314-cp314t-win_arm64.whl", hash = "sha256:11fe5a4f613759764e79c65cf11ebdf26e33d6dd34336f8a337aa2996d71c841", size = 136284, upload-time = "2026-01-28T18:15:19.912Z" },
+    { url = "https://files.pythonhosted.org/packages/e7/36/5ee6e05c9bd427237b11b3937ad82bb8ad2752d72c6969314590dd0c2f6e/psutil-7.2.2-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ed0cace939114f62738d808fdcecd4c869222507e266e574799e9c0faa17d486", size = 129090, upload-time = "2026-01-28T18:15:22.168Z" },
+    { url = "https://files.pythonhosted.org/packages/80/c4/f5af4c1ca8c1eeb2e92ccca14ce8effdeec651d5ab6053c589b074eda6e1/psutil-7.2.2-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:1a7b04c10f32cc88ab39cbf606e117fd74721c831c98a27dc04578deb0c16979", size = 129859, upload-time = "2026-01-28T18:15:23.795Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/70/5d8df3b09e25bce090399cf48e452d25c935ab72dad19406c77f4e828045/psutil-7.2.2-cp36-abi3-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:076a2d2f923fd4821644f5ba89f059523da90dc9014e85f8e45a5774ca5bc6f9", size = 155560, upload-time = "2026-01-28T18:15:25.976Z" },
+    { url = "https://files.pythonhosted.org/packages/63/65/37648c0c158dc222aba51c089eb3bdfa238e621674dc42d48706e639204f/psutil-7.2.2-cp36-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b0726cecd84f9474419d67252add4ac0cd9811b04d61123054b9fb6f57df6e9e", size = 156997, upload-time = "2026-01-28T18:15:27.794Z" },
+    { url = "https://files.pythonhosted.org/packages/8e/13/125093eadae863ce03c6ffdbae9929430d116a246ef69866dad94da3bfbc/psutil-7.2.2-cp36-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:fd04ef36b4a6d599bbdb225dd1d3f51e00105f6d48a28f006da7f9822f2606d8", size = 148972, upload-time = "2026-01-28T18:15:29.342Z" },
+    { url = "https://files.pythonhosted.org/packages/04/78/0acd37ca84ce3ddffaa92ef0f571e073faa6d8ff1f0559ab1272188ea2be/psutil-7.2.2-cp36-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b58fabe35e80b264a4e3bb23e6b96f9e45a3df7fb7eed419ac0e5947c61e47cc", size = 148266, upload-time = "2026-01-28T18:15:31.597Z" },
+    { url = "https://files.pythonhosted.org/packages/b4/90/e2159492b5426be0c1fef7acba807a03511f97c5f86b3caeda6ad92351a7/psutil-7.2.2-cp37-abi3-win_amd64.whl", hash = "sha256:eb7e81434c8d223ec4a219b5fc1c47d0417b12be7ea866e24fb5ad6e84b3d988", size = 137737, upload-time = "2026-01-28T18:15:33.849Z" },
+    { url = "https://files.pythonhosted.org/packages/8c/c7/7bb2e321574b10df20cbde462a94e2b71d05f9bbda251ef27d104668306a/psutil-7.2.2-cp37-abi3-win_arm64.whl", hash = "sha256:8c233660f575a5a89e6d4cb65d9f938126312bca76d8fe087b947b3a1aaac9ee", size = 134617, upload-time = "2026-01-28T18:15:36.514Z" },
+]
+
+[[package]]
+name = "ptyprocess"
+version = "0.7.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/e5/16ff212c1e452235a90aeb09066144d0c5a6a8c0834397e03f5224495c4e/ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220", size = 70762, upload-time = "2020-12-28T15:15:30.155Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/22/a6/858897256d0deac81a172289110f31629fc4cee19b6f01283303e18c8db3/ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35", size = 13993, upload-time = "2020-12-28T15:15:28.35Z" },
+]
+
+[[package]]
+name = "pure-eval"
+version = "0.2.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/cd/05/0a34433a064256a578f1783a10da6df098ceaa4a57bbeaa96a6c0352786b/pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42", size = 19752, upload-time = "2024-07-21T12:58:21.801Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/8e/37/efad0257dc6e593a18957422533ff0f87ede7c9c6ea010a2177d738fb82f/pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0", size = 11842, upload-time = "2024-07-21T12:58:20.04Z" },
+]
+
+[[package]]
+name = "pyarrow"
+version = "23.0.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/88/22/134986a4cc224d593c1afde5494d18ff629393d74cc2eddb176669f234a4/pyarrow-23.0.1.tar.gz", hash = "sha256:b8c5873e33440b2bc2f4a79d2b47017a89c5a24116c055625e6f2ee50523f019", size = 1167336, upload-time = "2026-02-16T10:14:12.39Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b0/41/8e6b6ef7e225d4ceead8459427a52afdc23379768f54dd3566014d7618c1/pyarrow-23.0.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:6f0147ee9e0386f519c952cc670eb4a8b05caa594eeffe01af0e25f699e4e9bb", size = 34302230, upload-time = "2026-02-16T10:09:03.859Z" },
+    { url = "https://files.pythonhosted.org/packages/bf/4a/1472c00392f521fea03ae93408bf445cc7bfa1ab81683faf9bc188e36629/pyarrow-23.0.1-cp311-cp311-macosx_12_0_x86_64.whl", hash = "sha256:0ae6e17c828455b6265d590100c295193f93cc5675eb0af59e49dbd00d2de350", size = 35850050, upload-time = "2026-02-16T10:09:11.877Z" },
+    { url = "https://files.pythonhosted.org/packages/0c/b2/bd1f2f05ded56af7f54d702c8364c9c43cd6abb91b0e9933f3d77b4f4132/pyarrow-23.0.1-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:fed7020203e9ef273360b9e45be52a2a47d3103caf156a30ace5247ffb51bdbd", size = 44491918, upload-time = "2026-02-16T10:09:18.144Z" },
+    { url = "https://files.pythonhosted.org/packages/0b/62/96459ef5b67957eac38a90f541d1c28833d1b367f014a482cb63f3b7cd2d/pyarrow-23.0.1-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:26d50dee49d741ac0e82185033488d28d35be4d763ae6f321f97d1140eb7a0e9", size = 47562811, upload-time = "2026-02-16T10:09:25.792Z" },
+    { url = "https://files.pythonhosted.org/packages/7d/94/1170e235add1f5f45a954e26cd0e906e7e74e23392dcb560de471f7366ec/pyarrow-23.0.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:3c30143b17161310f151f4a2bcfe41b5ff744238c1039338779424e38579d701", size = 48183766, upload-time = "2026-02-16T10:09:34.645Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/2d/39a42af4570377b99774cdb47f63ee6c7da7616bd55b3d5001aa18edfe4f/pyarrow-23.0.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:db2190fa79c80a23fdd29fef4b8992893f024ae7c17d2f5f4db7171fa30c2c78", size = 50607669, upload-time = "2026-02-16T10:09:44.153Z" },
+    { url = "https://files.pythonhosted.org/packages/00/ca/db94101c187f3df742133ac837e93b1f269ebdac49427f8310ee40b6a58f/pyarrow-23.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:f00f993a8179e0e1c9713bcc0baf6d6c01326a406a9c23495ec1ba9c9ebf2919", size = 27527698, upload-time = "2026-02-16T10:09:50.263Z" },
+    { url = "https://files.pythonhosted.org/packages/9a/4b/4166bb5abbfe6f750fc60ad337c43ecf61340fa52ab386da6e8dbf9e63c4/pyarrow-23.0.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:f4b0dbfa124c0bb161f8b5ebb40f1a680b70279aa0c9901d44a2b5a20806039f", size = 34214575, upload-time = "2026-02-16T10:09:56.225Z" },
+    { url = "https://files.pythonhosted.org/packages/e1/da/3f941e3734ac8088ea588b53e860baeddac8323ea40ce22e3d0baa865cc9/pyarrow-23.0.1-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:7707d2b6673f7de054e2e83d59f9e805939038eebe1763fe811ee8fa5c0cd1a7", size = 35832540, upload-time = "2026-02-16T10:10:03.428Z" },
+    { url = "https://files.pythonhosted.org/packages/88/7c/3d841c366620e906d54430817531b877ba646310296df42ef697308c2705/pyarrow-23.0.1-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:86ff03fb9f1a320266e0de855dee4b17da6794c595d207f89bba40d16b5c78b9", size = 44470940, upload-time = "2026-02-16T10:10:10.704Z" },
+    { url = "https://files.pythonhosted.org/packages/2c/a5/da83046273d990f256cb79796a190bbf7ec999269705ddc609403f8c6b06/pyarrow-23.0.1-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:813d99f31275919c383aab17f0f455a04f5a429c261cc411b1e9a8f5e4aaaa05", size = 47586063, upload-time = "2026-02-16T10:10:17.95Z" },
+    { url = "https://files.pythonhosted.org/packages/5b/3c/b7d2ebcff47a514f47f9da1e74b7949138c58cfeb108cdd4ee62f43f0cf3/pyarrow-23.0.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:bf5842f960cddd2ef757d486041d57c96483efc295a8c4a0e20e704cbbf39c67", size = 48173045, upload-time = "2026-02-16T10:10:25.363Z" },
+    { url = "https://files.pythonhosted.org/packages/43/b2/b40961262213beaba6acfc88698eb773dfce32ecdf34d19291db94c2bd73/pyarrow-23.0.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:564baf97c858ecc03ec01a41062e8f4698abc3e6e2acd79c01c2e97880a19730", size = 50621741, upload-time = "2026-02-16T10:10:33.477Z" },
+    { url = "https://files.pythonhosted.org/packages/f6/70/1fdda42d65b28b078e93d75d371b2185a61da89dda4def8ba6ba41ebdeb4/pyarrow-23.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:07deae7783782ac7250989a7b2ecde9b3c343a643f82e8a4df03d93b633006f0", size = 27620678, upload-time = "2026-02-16T10:10:39.31Z" },
+    { url = "https://files.pythonhosted.org/packages/47/10/2cbe4c6f0fb83d2de37249567373d64327a5e4d8db72f486db42875b08f6/pyarrow-23.0.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:6b8fda694640b00e8af3c824f99f789e836720aa8c9379fb435d4c4953a756b8", size = 34210066, upload-time = "2026-02-16T10:10:45.487Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/4f/679fa7e84dadbaca7a65f7cdba8d6c83febbd93ca12fa4adf40ba3b6362b/pyarrow-23.0.1-cp313-cp313-macosx_12_0_x86_64.whl", hash = "sha256:8ff51b1addc469b9444b7c6f3548e19dc931b172ab234e995a60aea9f6e6025f", size = 35825526, upload-time = "2026-02-16T10:10:52.266Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/63/d2747d930882c9d661e9398eefc54f15696547b8983aaaf11d4a2e8b5426/pyarrow-23.0.1-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:71c5be5cbf1e1cb6169d2a0980850bccb558ddc9b747b6206435313c47c37677", size = 44473279, upload-time = "2026-02-16T10:11:01.557Z" },
+    { url = "https://files.pythonhosted.org/packages/b3/93/10a48b5e238de6d562a411af6467e71e7aedbc9b87f8d3a35f1560ae30fb/pyarrow-23.0.1-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:9b6f4f17b43bc39d56fec96e53fe89d94bac3eb134137964371b45352d40d0c2", size = 47585798, upload-time = "2026-02-16T10:11:09.401Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/20/476943001c54ef078dbf9542280e22741219a184a0632862bca4feccd666/pyarrow-23.0.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:9fc13fc6c403d1337acab46a2c4346ca6c9dec5780c3c697cf8abfd5e19b6b37", size = 48179446, upload-time = "2026-02-16T10:11:17.781Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/b6/5dd0c47b335fcd8edba9bfab78ad961bd0fd55ebe53468cc393f45e0be60/pyarrow-23.0.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5c16ed4f53247fa3ffb12a14d236de4213a4415d127fe9cebed33d51671113e2", size = 50623972, upload-time = "2026-02-16T10:11:26.185Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/09/a532297c9591a727d67760e2e756b83905dd89adb365a7f6e9c72578bcc1/pyarrow-23.0.1-cp313-cp313-win_amd64.whl", hash = "sha256:cecfb12ef629cf6be0b1887f9f86463b0dd3dc3195ae6224e74006be4736035a", size = 27540749, upload-time = "2026-02-16T10:12:23.297Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/8e/38749c4b1303e6ae76b3c80618f84861ae0c55dd3c2273842ea6f8258233/pyarrow-23.0.1-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:29f7f7419a0e30264ea261fdc0e5fe63ce5a6095003db2945d7cd78df391a7e1", size = 34471544, upload-time = "2026-02-16T10:11:32.535Z" },
+    { url = "https://files.pythonhosted.org/packages/a3/73/f237b2bc8c669212f842bcfd842b04fc8d936bfc9d471630569132dc920d/pyarrow-23.0.1-cp313-cp313t-macosx_12_0_x86_64.whl", hash = "sha256:33d648dc25b51fd8055c19e4261e813dfc4d2427f068bcecc8b53d01b81b0500", size = 35949911, upload-time = "2026-02-16T10:11:39.813Z" },
+    { url = "https://files.pythonhosted.org/packages/0c/86/b912195eee0903b5611bf596833def7d146ab2d301afeb4b722c57ffc966/pyarrow-23.0.1-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:cd395abf8f91c673dd3589cadc8cc1ee4e8674fa61b2e923c8dd215d9c7d1f41", size = 44520337, upload-time = "2026-02-16T10:11:47.764Z" },
+    { url = "https://files.pythonhosted.org/packages/69/c2/f2a717fb824f62d0be952ea724b4f6f9372a17eed6f704b5c9526f12f2f1/pyarrow-23.0.1-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:00be9576d970c31defb5c32eb72ef585bf600ef6d0a82d5eccaae96639cf9d07", size = 47548944, upload-time = "2026-02-16T10:11:56.607Z" },
+    { url = "https://files.pythonhosted.org/packages/84/a7/90007d476b9f0dc308e3bc57b832d004f848fd6c0da601375d20d92d1519/pyarrow-23.0.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c2139549494445609f35a5cda4eb94e2c9e4d704ce60a095b342f82460c73a83", size = 48236269, upload-time = "2026-02-16T10:12:04.47Z" },
+    { url = "https://files.pythonhosted.org/packages/b0/3f/b16fab3e77709856eb6ac328ce35f57a6d4a18462c7ca5186ef31b45e0e0/pyarrow-23.0.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:7044b442f184d84e2351e5084600f0d7343d6117aabcbc1ac78eb1ae11eb4125", size = 50604794, upload-time = "2026-02-16T10:12:11.797Z" },
+    { url = "https://files.pythonhosted.org/packages/e9/a1/22df0620a9fac31d68397a75465c344e83c3dfe521f7612aea33e27ab6c0/pyarrow-23.0.1-cp313-cp313t-win_amd64.whl", hash = "sha256:a35581e856a2fafa12f3f54fce4331862b1cfb0bef5758347a858a4aa9d6bae8", size = 27660642, upload-time = "2026-02-16T10:12:17.746Z" },
+    { url = "https://files.pythonhosted.org/packages/8d/1b/6da9a89583ce7b23ac611f183ae4843cd3a6cf54f079549b0e8c14031e73/pyarrow-23.0.1-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:5df1161da23636a70838099d4aaa65142777185cc0cdba4037a18cee7d8db9ca", size = 34238755, upload-time = "2026-02-16T10:12:32.819Z" },
+    { url = "https://files.pythonhosted.org/packages/ae/b5/d58a241fbe324dbaeb8df07be6af8752c846192d78d2272e551098f74e88/pyarrow-23.0.1-cp314-cp314-macosx_12_0_x86_64.whl", hash = "sha256:fa8e51cb04b9f8c9c5ace6bab63af9a1f88d35c0d6cbf53e8c17c098552285e1", size = 35847826, upload-time = "2026-02-16T10:12:38.949Z" },
+    { url = "https://files.pythonhosted.org/packages/54/a5/8cbc83f04aba433ca7b331b38f39e000efd9f0c7ce47128670e737542996/pyarrow-23.0.1-cp314-cp314-manylinux_2_28_aarch64.whl", hash = "sha256:0b95a3994f015be13c63148fef8832e8a23938128c185ee951c98908a696e0eb", size = 44536859, upload-time = "2026-02-16T10:12:45.467Z" },
+    { url = "https://files.pythonhosted.org/packages/36/2e/c0f017c405fcdc252dbccafbe05e36b0d0eb1ea9a958f081e01c6972927f/pyarrow-23.0.1-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:4982d71350b1a6e5cfe1af742c53dfb759b11ce14141870d05d9e540d13bc5d1", size = 47614443, upload-time = "2026-02-16T10:12:55.525Z" },
+    { url = "https://files.pythonhosted.org/packages/af/6b/2314a78057912f5627afa13ba43809d9d653e6630859618b0fd81a4e0759/pyarrow-23.0.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c250248f1fe266db627921c89b47b7c06fee0489ad95b04d50353537d74d6886", size = 48232991, upload-time = "2026-02-16T10:13:04.729Z" },
+    { url = "https://files.pythonhosted.org/packages/40/f2/1bcb1d3be3460832ef3370d621142216e15a2c7c62602a4ea19ec240dd64/pyarrow-23.0.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:5f4763b83c11c16e5f4c15601ba6dfa849e20723b46aa2617cb4bffe8768479f", size = 50645077, upload-time = "2026-02-16T10:13:14.147Z" },
+    { url = "https://files.pythonhosted.org/packages/eb/3f/b1da7b61cd66566a4d4c8383d376c606d1c34a906c3f1cb35c479f59d1aa/pyarrow-23.0.1-cp314-cp314-win_amd64.whl", hash = "sha256:3a4c85ef66c134161987c17b147d6bffdca4566f9a4c1d81a0a01cdf08414ea5", size = 28234271, upload-time = "2026-02-16T10:14:09.397Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/78/07f67434e910a0f7323269be7bfbf58699bd0c1d080b18a1ab49ba943fe8/pyarrow-23.0.1-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:17cd28e906c18af486a499422740298c52d7c6795344ea5002a7720b4eadf16d", size = 34488692, upload-time = "2026-02-16T10:13:21.541Z" },
+    { url = "https://files.pythonhosted.org/packages/50/76/34cf7ae93ece1f740a04910d9f7e80ba166b9b4ab9596a953e9e62b90fe1/pyarrow-23.0.1-cp314-cp314t-macosx_12_0_x86_64.whl", hash = "sha256:76e823d0e86b4fb5e1cf4a58d293036e678b5a4b03539be933d3b31f9406859f", size = 35964383, upload-time = "2026-02-16T10:13:28.63Z" },
+    { url = "https://files.pythonhosted.org/packages/46/90/459b827238936d4244214be7c684e1b366a63f8c78c380807ae25ed92199/pyarrow-23.0.1-cp314-cp314t-manylinux_2_28_aarch64.whl", hash = "sha256:a62e1899e3078bf65943078b3ad2a6ddcacf2373bc06379aac61b1e548a75814", size = 44538119, upload-time = "2026-02-16T10:13:35.506Z" },
+    { url = "https://files.pythonhosted.org/packages/28/a1/93a71ae5881e99d1f9de1d4554a87be37da11cd6b152239fb5bd924fdc64/pyarrow-23.0.1-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:df088e8f640c9fae3b1f495b3c64755c4e719091caf250f3a74d095ddf3c836d", size = 47571199, upload-time = "2026-02-16T10:13:42.504Z" },
+    { url = "https://files.pythonhosted.org/packages/88/a3/d2c462d4ef313521eaf2eff04d204ac60775263f1fb08c374b543f79f610/pyarrow-23.0.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:46718a220d64677c93bc243af1d44b55998255427588e400677d7192671845c7", size = 48259435, upload-time = "2026-02-16T10:13:49.226Z" },
+    { url = "https://files.pythonhosted.org/packages/cc/f1/11a544b8c3d38a759eb3fbb022039117fd633e9a7b19e4841cc3da091915/pyarrow-23.0.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:a09f3876e87f48bc2f13583ab551f0379e5dfb83210391e68ace404181a20690", size = 50629149, upload-time = "2026-02-16T10:13:57.238Z" },
+    { url = "https://files.pythonhosted.org/packages/50/f2/c0e76a0b451ffdf0cf788932e182758eb7558953f4f27f1aff8e2518b653/pyarrow-23.0.1-cp314-cp314t-win_amd64.whl", hash = "sha256:527e8d899f14bd15b740cd5a54ad56b7f98044955373a17179d5956ddb93d9ce", size = 28365807, upload-time = "2026-02-16T10:14:03.892Z" },
+]
+
+[[package]]
+name = "pycparser"
+version = "3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/1b/7d/92392ff7815c21062bea51aa7b87d45576f649f16458d78b7cf94b9ab2e6/pycparser-3.0.tar.gz", hash = "sha256:600f49d217304a5902ac3c37e1281c9fe94e4d0489de643a9504c5cdfdfc6b29", size = 103492, upload-time = "2026-01-21T14:26:51.89Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0c/c3/44f3fbbfa403ea2a7c779186dc20772604442dde72947e7d01069cbe98e3/pycparser-3.0-py3-none-any.whl", hash = "sha256:b727414169a36b7d524c1c3e31839a521725078d7b2ff038656844266160a992", size = 48172, upload-time = "2026-01-21T14:26:50.693Z" },
+]
+
+[[package]]
+name = "pygments"
+version = "2.19.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/b0/77/a5b8c569bf593b0140bde72ea885a803b82086995367bf2037de0159d924/pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887", size = 4968631, upload-time = "2025-06-21T13:39:12.283Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c7/21/705964c7812476f378728bdf590ca4b771ec72385c533964653c68e86bdc/pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b", size = 1225217, upload-time = "2025-06-21T13:39:07.939Z" },
+]
+
+[[package]]
+name = "pylint"
+version = "4.0.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "astroid" },
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "dill" },
+    { name = "isort" },
+    { name = "mccabe" },
+    { name = "platformdirs" },
+    { name = "tomlkit" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/e4/b6/74d9a8a68b8067efce8d07707fe6a236324ee1e7808d2eb3646ec8517c7d/pylint-4.0.5.tar.gz", hash = "sha256:8cd6a618df75deb013bd7eb98327a95f02a6fb839205a6bbf5456ef96afb317c", size = 1572474, upload-time = "2026-02-20T09:07:33.621Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d5/6f/9ac2548e290764781f9e7e2aaf0685b086379dabfb29ca38536985471eaf/pylint-4.0.5-py3-none-any.whl", hash = "sha256:00f51c9b14a3b3ae08cff6b2cdd43f28165c78b165b628692e428fb1f8dc2cf2", size = 536694, upload-time = "2026-02-20T09:07:31.028Z" },
+]
+
+[[package]]
+name = "pymatreader"
+version = "1.2.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "h5py" },
+    { name = "numpy" },
+    { name = "scipy" },
+    { name = "xmltodict" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/6b/a4/0248a06442ee4f3c133e40bd38d3f1329d6c7941ea1c88f0a12b879f109e/pymatreader-1.2.2.tar.gz", hash = "sha256:29a5224705fc5648e84c385b43a0fef2de80a99a8f7e7f7ef60631a94fcab403", size = 37061211, upload-time = "2026-03-03T15:24:59.035Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/7b/66/d6a83f1dc71476f3e5140374115c48f8ba9516e319c1c9019a1f8416288c/pymatreader-1.2.2-py3-none-any.whl", hash = "sha256:7362e5180145e2462d7ceb74e88225a48490907298697e7d25726d9254098d79", size = 10250, upload-time = "2026-03-03T15:25:01.285Z" },
+]
+
+[[package]]
+name = "pymdown-extensions"
+version = "10.21"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "markdown" },
+    { name = "pyyaml" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ba/63/06673d1eb6d8f83c0ea1f677d770e12565fb516928b4109c9e2055656a9e/pymdown_extensions-10.21.tar.gz", hash = "sha256:39f4a020f40773f6b2ff31d2cd2546c2c04d0a6498c31d9c688d2be07e1767d5", size = 853363, upload-time = "2026-02-15T20:44:06.748Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/6f/2c/5b079febdc65e1c3fb2729bf958d18b45be7113828528e8a0b5850dd819a/pymdown_extensions-10.21-py3-none-any.whl", hash = "sha256:91b879f9f864d49794c2d9534372b10150e6141096c3908a455e45ca72ad9d3f", size = 268877, upload-time = "2026-02-15T20:44:05.464Z" },
+]
+
+[[package]]
+name = "pyparsing"
+version = "3.3.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f3/91/9c6ee907786a473bf81c5f53cf703ba0957b23ab84c264080fb5a450416f/pyparsing-3.3.2.tar.gz", hash = "sha256:c777f4d763f140633dcb6d8a3eda953bf7a214dc4eff598413c070bcdc117cbc", size = 6851574, upload-time = "2026-01-21T03:57:59.36Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/10/bd/c038d7cc38edc1aa5bf91ab8068b63d4308c66c4c8bb3cbba7dfbc049f9c/pyparsing-3.3.2-py3-none-any.whl", hash = "sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d", size = 122781, upload-time = "2026-01-21T03:57:55.912Z" },
+]
+
+[[package]]
+name = "pyqt6"
+version = "6.10.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pyqt6-qt6" },
+    { name = "pyqt6-sip" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/96/03/e756f52e8b0d7bb5527baf8c46d59af0746391943bdb8655acba22ee4168/pyqt6-6.10.2.tar.gz", hash = "sha256:6c0db5d8cbb9a3e7e2b5b51d0ff3f283121fa27b864db6d2f35b663c9be5cc83", size = 1085573, upload-time = "2026-01-08T16:40:00.244Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fb/3f/f073a980969aa485ef288eb2e3b94c223ba9c7ac9941543f19b51659b98d/pyqt6-6.10.2-cp39-abi3-macosx_10_14_universal2.whl", hash = "sha256:37ae7c1183fe4dd0c6aefd2006a35731245de1cb6f817bb9e414a3e4848dfd6d", size = 60244482, upload-time = "2026-01-08T16:38:50.837Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/3e/9a015651ec71cea2e2f960c37edeb21623ba96a74956c0827def837f7c6b/pyqt6-6.10.2-cp39-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:78e1b3d5763e4cbc84485aef600e0aba5e1932fd263b716f92cd1a40dfa5e924", size = 37899440, upload-time = "2026-01-08T16:39:09.027Z" },
+    { url = "https://files.pythonhosted.org/packages/51/74/a88fec2b99700270ca5d7dc7d650236a4990ed6fc88e055ca0fc8a339ee3/pyqt6-6.10.2-cp39-abi3-manylinux_2_39_aarch64.whl", hash = "sha256:bbc3af541bbecd27301bfe69fe445aa1611a9b490bd3de77306b12df632f7ec6", size = 40748467, upload-time = "2026-01-08T16:39:29.551Z" },
+    { url = "https://files.pythonhosted.org/packages/75/34/be7a55529607b21db00a49ca53cb07c3092d2a5a95ea19bb95cfa0346904/pyqt6-6.10.2-cp39-abi3-win_amd64.whl", hash = "sha256:bd328cb70bc382c48861cd5f0a11b2b8ae6f5692d5a2d6679ba52785dced327b", size = 26015391, upload-time = "2026-01-08T16:39:42.946Z" },
+    { url = "https://files.pythonhosted.org/packages/af/de/d9c88f976602b7884fec4ad54a4575d48e23e4f390e5357ea83917358846/pyqt6-6.10.2-cp39-abi3-win_arm64.whl", hash = "sha256:7901ba1df024b7ee9fdacfb2b7661aeb3749ae8b0bef65428077de3e0450eabb", size = 26208415, upload-time = "2026-01-08T16:39:57.751Z" },
+]
+
+[[package]]
+name = "pyqt6-qt6"
+version = "6.10.2"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/9a/eb/f04d547d8ed9f20c7b246db4ef5d93b49cab4692009a10652ed0a8b9d2aa/pyqt6_qt6-6.10.2-py3-none-macosx_10_14_x86_64.whl", hash = "sha256:5761cfccc721da2311c3f1213577f0ff1df07bbbbe3fa3a209a256b82cf057e3", size = 68688870, upload-time = "2026-01-29T12:26:48.619Z" },
+    { url = "https://files.pythonhosted.org/packages/ce/c8/d99e65ab01c2402fb6bc4f77abef7244f7d5fb2f2e6d5b0abdf71bb2e4fc/pyqt6_qt6-6.10.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:6dda853a8db1b8d1a2ddbbe76cc6c3aa86614cad14056bd3c0435d8feea73b2d", size = 62512013, upload-time = "2026-01-29T12:27:24.642Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/fe/01fd9b9d2ca139ef61582f2e2da249fa169229144294c1bb27db59ad8420/pyqt6_qt6-6.10.2-py3-none-manylinux_2_34_x86_64.whl", hash = "sha256:19c10b5f0806e9f9bac2c9759bd5d7d19a78967f330fd60a2db409177fa76e49", size = 84028760, upload-time = "2026-01-29T12:28:03.267Z" },
+    { url = "https://files.pythonhosted.org/packages/f4/20/a0d027ebb267d3afaf319d94efe1ff4d667004ee83b96701329a4d11fb95/pyqt6_qt6-6.10.2-py3-none-manylinux_2_39_aarch64.whl", hash = "sha256:2e60d616861ca4565cd295418d605975aa2dc407ba4b94c1586a70c92e9cb052", size = 83063975, upload-time = "2026-01-29T12:28:48.928Z" },
+    { url = "https://files.pythonhosted.org/packages/06/8e/595f215876d507417cc8565e05519916d3b0b76baedea6a1e4e5105633fc/pyqt6_qt6-6.10.2-py3-none-win_amd64.whl", hash = "sha256:c4b7f7d66cc58bddf1bc1ca28dfcf7a45f58cfcb11d81d13a0510409dd4957ac", size = 78433821, upload-time = "2026-01-29T12:29:35.493Z" },
+    { url = "https://files.pythonhosted.org/packages/50/5f/2196e2b536217b87cb3d2ce13ef8f7607d08b02f1990a4bd84a88d293a3c/pyqt6_qt6-6.10.2-py3-none-win_arm64.whl", hash = "sha256:7164a6f0c1335358a3026df9865c8f75395b01f60f0dcd2f66c029ec16fc83d2", size = 58354426, upload-time = "2026-01-29T12:30:02.95Z" },
+]
+
+[[package]]
+name = "pyqt6-sip"
+version = "13.11.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/90/24/a753e1af94b9ae5b2da63d4598457308da3cdbf0838c959381db086ccc86/pyqt6_sip-13.11.1.tar.gz", hash = "sha256:869c5b48afe38e55b1ee0dd72182b0886e968cc509b98023ff50010b013ce1be", size = 92574, upload-time = "2026-03-09T13:01:35.418Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/46/fa/049879f61888462099dcbab495ad16df770cca2432330cca0767ab8e87cb/pyqt6_sip-13.11.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:c0ec2128c174db352bec1c8d23a437e970e8d5a78ac50315d8dfc671fcf7a7da", size = 111056, upload-time = "2026-03-09T13:01:07.998Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/0d/6ee861c53f3f7e6c5dd34a441d17aad1dfb3d50ce1f1a024cc9194ac3db3/pyqt6_sip-13.11.1-cp311-cp311-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:6aa6c15ad3a9bb86e69119baff77b4ac17c47e55ee567abff616a4652051a6cc", size = 289930, upload-time = "2026-03-09T13:01:11.122Z" },
+    { url = "https://files.pythonhosted.org/packages/ca/39/c975733d7204a594e6ae51d3a810aad539d09718aa3ceeb0dd28cb3276bd/pyqt6_sip-13.11.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ee652b272373c4f9287625ef32ad4ec1f0755c24928dc958a870b7a928b288c", size = 315827, upload-time = "2026-03-09T13:01:09.48Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/d6/c40e8ae38a6e2bce9e837b64688f55746bfdad1aa557eb733fb5e90edd7c/pyqt6_sip-13.11.1-cp311-cp311-win_amd64.whl", hash = "sha256:98db8ed37cf08130e1ee74b8ff47a6bfb8c3cdfe826310597a630a50e47feedc", size = 54029, upload-time = "2026-03-09T13:01:12.261Z" },
+    { url = "https://files.pythonhosted.org/packages/fb/63/ec8c21ef9edffb55af42c637325d72eca4ea90a73ab714aaa1429c757e85/pyqt6_sip-13.11.1-cp311-cp311-win_arm64.whl", hash = "sha256:3af7a49dce4c35c5464309232c81cc1da5ec6074f46d2957831ee4031b8eefa6", size = 48458, upload-time = "2026-03-09T13:01:13.689Z" },
+    { url = "https://files.pythonhosted.org/packages/46/27/47598e701d284497216bf97bf8b6a69f5e61412e716c232ff2b7e6cb2100/pyqt6_sip-13.11.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:ba9d362dd1e54b43bc2594f8841e1e39d24789716d28f08e5c9282af9fca342c", size = 112564, upload-time = "2026-03-09T13:01:14.628Z" },
+    { url = "https://files.pythonhosted.org/packages/95/cb/116f9b328636765f3bce97d9e10ec041c54bbe92beb0617edb86c2b615c1/pyqt6_sip-13.11.1-cp312-cp312-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:0df15849946cea969d3ff2b24b76149262b6044aea2c5403e4f70c24c973a4c8", size = 299564, upload-time = "2026-03-09T13:01:17.292Z" },
+    { url = "https://files.pythonhosted.org/packages/1b/be/fe2321285e8f683e705d199dbb458131f1850dc5966155a19c40100c85bb/pyqt6_sip-13.11.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c52b2b27fc77d9447a8dc1c6de1aaccc22d41e48697aafb2f2f20b8984bb02a5", size = 321210, upload-time = "2026-03-09T13:01:15.904Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/9b/7d4b10f9cba1b6f581dfb4860b9d11898da55a5ed3b8a6e7a1bf9f7084d0/pyqt6_sip-13.11.1-cp312-cp312-win_amd64.whl", hash = "sha256:1d1c67179c1924b28e3d7f04585639e7a7c0946f62390efc6ccf2a6206e595d3", size = 53351, upload-time = "2026-03-09T13:01:19.327Z" },
+    { url = "https://files.pythonhosted.org/packages/06/72/6c4e6f21cafa4bed40d2b0c1563525b0d8bfcb5734493696f4cfd043b45f/pyqt6_sip-13.11.1-cp312-cp312-win_arm64.whl", hash = "sha256:d83543125fe9fdb153e7e446c3b4d056d80ab5953644660633ab3f80e7784194", size = 48746, upload-time = "2026-03-09T13:01:20.248Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/0b/dc76c463c203e630b2c6417d4d5e337e919a265ac1c10127ef413551f5de/pyqt6_sip-13.11.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:0c6d097aae7df312519e2b36e001bd796f6a2ce060ab8b9ed793daa8f407fe2e", size = 112552, upload-time = "2026-03-09T13:01:21.493Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/e3/65b605759859d38231ce7544065d4c61f891eb7766c351318e2a0b08a473/pyqt6_sip-13.11.1-cp313-cp313-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:a72f4ebdab16a8a484019ff593de90d8013d3286b678c6ba1c0bdb117f4fcb13", size = 299932, upload-time = "2026-03-09T13:01:24.912Z" },
+    { url = "https://files.pythonhosted.org/packages/60/f7/c10d2dd5bf503a1de83bd163467bd323f12af016866c2814743b5b1efe1c/pyqt6_sip-13.11.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b68e442efc4275651bf63f2c43713e242924fd948909e31cf8f20d783ca505e9", size = 321497, upload-time = "2026-03-09T13:01:22.724Z" },
+    { url = "https://files.pythonhosted.org/packages/e1/1f/e7e5ad77a76c00db5c8c1b9960f2b0672ec1978b971bb3509858cd7a9458/pyqt6_sip-13.11.1-cp313-cp313-win_amd64.whl", hash = "sha256:ca24bfd4d5d8274e338433df9ac41930650088c00018d3313c6bd8de21772a02", size = 53371, upload-time = "2026-03-09T13:01:26.286Z" },
+    { url = "https://files.pythonhosted.org/packages/36/ef/a7acaf44980aed6fe26f1320e265db528fecb6a47ac67829c7cd011e9821/pyqt6_sip-13.11.1-cp313-cp313-win_arm64.whl", hash = "sha256:f532144c43f2fddcccf2e25df50cdb4a744edb4ce4ba5ed2d0f2cef825197f2f", size = 48745, upload-time = "2026-03-09T13:01:27.212Z" },
+    { url = "https://files.pythonhosted.org/packages/20/1d/62c633faedef5bb3b8c7486a72e8a6466adaa2a14efcfccf85bb23426748/pyqt6_sip-13.11.1-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:cb931c1af45294bbe8039c5cfda184e3023f5dc766fc884964010eedd8fd85db", size = 112678, upload-time = "2026-03-09T13:01:28.15Z" },
+    { url = "https://files.pythonhosted.org/packages/03/72/5a3d9ffef0caa7e1bc7a35d6300f6099bfccd1d8a485b4320ba20013a2d9/pyqt6_sip-13.11.1-cp314-cp314-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:353d613129316e9f7eda6bbe821deb7b7ffa14483499189171fd8a246873f9ac", size = 299560, upload-time = "2026-03-09T13:01:32.134Z" },
+    { url = "https://files.pythonhosted.org/packages/98/f4/886f901f1e04da717a11e180ba19a9c7fc62da170966d57206006f173bda/pyqt6_sip-13.11.1-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fcadd68e09ee24cdda8f8bfcba52e59c9b297055d2c450f0eb89afa61a8dc31a", size = 321846, upload-time = "2026-03-09T13:01:29.817Z" },
+    { url = "https://files.pythonhosted.org/packages/96/f2/b68fd566f7f86dbb53d933489e70487cabaea0e0161690e4899653bbc7fb/pyqt6_sip-13.11.1-cp314-cp314-win_amd64.whl", hash = "sha256:581e287bf42587593b88b30d9db06ed0fccbf40f345a5bd3ec3f00a5692e2430", size = 55055, upload-time = "2026-03-09T13:01:33.467Z" },
+    { url = "https://files.pythonhosted.org/packages/8d/42/efb7ced69f7d1d31eb8f19b2d778aeb182be7e070569d02b9057ac478e3e/pyqt6_sip-13.11.1-cp314-cp314-win_arm64.whl", hash = "sha256:42b62530a9b6a9c6e29c2941b8ab78258652da0aeae4eb1fc9a0631d19a7a7b2", size = 49597, upload-time = "2026-03-09T13:01:34.49Z" },
+]
+
+[[package]]
+name = "pytest"
+version = "9.0.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "iniconfig" },
+    { name = "packaging" },
+    { name = "pluggy" },
+    { name = "pygments" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/d1/db/7ef3487e0fb0049ddb5ce41d3a49c235bf9ad299b6a25d5780a89f19230f/pytest-9.0.2.tar.gz", hash = "sha256:75186651a92bd89611d1d9fc20f0b4345fd827c41ccd5c299a868a05d70edf11", size = 1568901, upload-time = "2025-12-06T21:30:51.014Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3b/ab/b3226f0bd7cdcf710fbede2b3548584366da3b19b5021e74f5bde2a8fa3f/pytest-9.0.2-py3-none-any.whl", hash = "sha256:711ffd45bf766d5264d487b917733b453d917afd2b0ad65223959f59089f875b", size = 374801, upload-time = "2025-12-06T21:30:49.154Z" },
+]
+
+[[package]]
+name = "pytest-mock"
+version = "3.15.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pytest" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/68/14/eb014d26be205d38ad5ad20d9a80f7d201472e08167f0bb4361e251084a9/pytest_mock-3.15.1.tar.gz", hash = "sha256:1849a238f6f396da19762269de72cb1814ab44416fa73a8686deac10b0d87a0f", size = 34036, upload-time = "2025-09-16T16:37:27.081Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/5a/cc/06253936f4a7fa2e0f48dfe6d851d9c56df896a9ab09ac019d70b760619c/pytest_mock-3.15.1-py3-none-any.whl", hash = "sha256:0a25e2eb88fe5168d535041d09a4529a188176ae608a6d249ee65abc0949630d", size = 10095, upload-time = "2025-09-16T16:37:25.734Z" },
+]
+
+[[package]]
+name = "pytest-watch"
+version = "4.2.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "colorama" },
+    { name = "docopt" },
+    { name = "pytest" },
+    { name = "watchdog" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/36/47/ab65fc1d682befc318c439940f81a0de1026048479f732e84fe714cd69c0/pytest-watch-4.2.0.tar.gz", hash = "sha256:06136f03d5b361718b8d0d234042f7b2f203910d8568f63df2f866b547b3d4b9", size = 16340, upload-time = "2018-05-20T19:52:16.194Z" }
+
+[[package]]
+name = "python-dateutil"
+version = "2.9.0.post0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "six" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/66/c0/0c8b6ad9f17a802ee498c46e004a0eb49bc148f2fd230864601a86dcf6db/python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3", size = 342432, upload-time = "2024-03-01T18:36:20.211Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ec/57/56b9bcc3c9c6a792fcbaf139543cee77261f3651ca9da0c93f5c1221264b/python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427", size = 229892, upload-time = "2024-03-01T18:36:18.57Z" },
+]
+
+[[package]]
+name = "python-json-logger"
+version = "4.0.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/29/bf/eca6a3d43db1dae7070f70e160ab20b807627ba953663ba07928cdd3dc58/python_json_logger-4.0.0.tar.gz", hash = "sha256:f58e68eb46e1faed27e0f574a55a0455eecd7b8a5b88b85a784519ba3cff047f", size = 17683, upload-time = "2025-10-06T04:15:18.984Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/51/e5/fecf13f06e5e5f67e8837d777d1bc43fac0ed2b77a676804df5c34744727/python_json_logger-4.0.0-py3-none-any.whl", hash = "sha256:af09c9daf6a813aa4cc7180395f50f2a9e5fa056034c9953aec92e381c5ba1e2", size = 15548, upload-time = "2025-10-06T04:15:17.553Z" },
+]
+
+[[package]]
+name = "python-multipart"
+version = "0.0.22"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/94/01/979e98d542a70714b0cb2b6728ed0b7c46792b695e3eaec3e20711271ca3/python_multipart-0.0.22.tar.gz", hash = "sha256:7340bef99a7e0032613f56dc36027b959fd3b30a787ed62d310e951f7c3a3a58", size = 37612, upload-time = "2026-01-25T10:15:56.219Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1b/d0/397f9626e711ff749a95d96b7af99b9c566a9bb5129b8e4c10fc4d100304/python_multipart-0.0.22-py3-none-any.whl", hash = "sha256:2b2cd894c83d21bf49d702499531c7bafd057d730c201782048f7945d82de155", size = 24579, upload-time = "2026-01-25T10:15:54.811Z" },
+]
+
+[[package]]
+name = "pytkdocs"
+version = "0.16.5"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/19/fc/f991897d8f8ecdeb61c4835507c5b07bc6bb6a024558ffe78cc5bb59fb38/pytkdocs-0.16.5.tar.gz", hash = "sha256:103cdb3f0298c392bc340ae9aa7cd8685b163ae2aec65660dd0018978ddf4fa7", size = 84010, upload-time = "2025-03-09T17:32:42.398Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2c/29/b2be72ba559df54647e6ad2ff6cf1a94d488857ee67eeae28b252a6e734d/pytkdocs-0.16.5-py3-none-any.whl", hash = "sha256:7feb2535a8582d891fa5353cf2f4ecc7840915e631d322dbcbc1c8cc605da23a", size = 38823, upload-time = "2025-03-09T17:32:40.9Z" },
+]
+
+[[package]]
+name = "pytokens"
+version = "0.4.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/b6/34/b4e015b99031667a7b960f888889c5bd34ef585c85e1cb56a594b92836ac/pytokens-0.4.1.tar.gz", hash = "sha256:292052fe80923aae2260c073f822ceba21f3872ced9a68bb7953b348e561179a", size = 23015, upload-time = "2026-01-30T01:03:45.924Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3d/92/790ebe03f07b57e53b10884c329b9a1a308648fc083a6d4a39a10a28c8fc/pytokens-0.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d70e77c55ae8380c91c0c18dea05951482e263982911fc7410b1ffd1dadd3440", size = 160864, upload-time = "2026-01-30T01:02:57.882Z" },
+    { url = "https://files.pythonhosted.org/packages/13/25/a4f555281d975bfdd1eba731450e2fe3a95870274da73fb12c40aeae7625/pytokens-0.4.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4a58d057208cb9075c144950d789511220b07636dd2e4708d5645d24de666bdc", size = 248565, upload-time = "2026-01-30T01:02:59.912Z" },
+    { url = "https://files.pythonhosted.org/packages/17/50/bc0394b4ad5b1601be22fa43652173d47e4c9efbf0044c62e9a59b747c56/pytokens-0.4.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b49750419d300e2b5a3813cf229d4e5a4c728dae470bcc89867a9ad6f25a722d", size = 260824, upload-time = "2026-01-30T01:03:01.471Z" },
+    { url = "https://files.pythonhosted.org/packages/4e/54/3e04f9d92a4be4fc6c80016bc396b923d2a6933ae94b5f557c939c460ee0/pytokens-0.4.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d9907d61f15bf7261d7e775bd5d7ee4d2930e04424bab1972591918497623a16", size = 264075, upload-time = "2026-01-30T01:03:04.143Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/1b/44b0326cb5470a4375f37988aea5d61b5cc52407143303015ebee94abfd6/pytokens-0.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:ee44d0f85b803321710f9239f335aafe16553b39106384cef8e6de40cb4ef2f6", size = 103323, upload-time = "2026-01-30T01:03:05.412Z" },
+    { url = "https://files.pythonhosted.org/packages/41/5d/e44573011401fb82e9d51e97f1290ceb377800fb4eed650b96f4753b499c/pytokens-0.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:140709331e846b728475786df8aeb27d24f48cbcf7bcd449f8de75cae7a45083", size = 160663, upload-time = "2026-01-30T01:03:06.473Z" },
+    { url = "https://files.pythonhosted.org/packages/f0/e6/5bbc3019f8e6f21d09c41f8b8654536117e5e211a85d89212d59cbdab381/pytokens-0.4.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6d6c4268598f762bc8e91f5dbf2ab2f61f7b95bdc07953b602db879b3c8c18e1", size = 255626, upload-time = "2026-01-30T01:03:08.177Z" },
+    { url = "https://files.pythonhosted.org/packages/bf/3c/2d5297d82286f6f3d92770289fd439956b201c0a4fc7e72efb9b2293758e/pytokens-0.4.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:24afde1f53d95348b5a0eb19488661147285ca4dd7ed752bbc3e1c6242a304d1", size = 269779, upload-time = "2026-01-30T01:03:09.756Z" },
+    { url = "https://files.pythonhosted.org/packages/20/01/7436e9ad693cebda0551203e0bf28f7669976c60ad07d6402098208476de/pytokens-0.4.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:5ad948d085ed6c16413eb5fec6b3e02fa00dc29a2534f088d3302c47eb59adf9", size = 268076, upload-time = "2026-01-30T01:03:10.957Z" },
+    { url = "https://files.pythonhosted.org/packages/2e/df/533c82a3c752ba13ae7ef238b7f8cdd272cf1475f03c63ac6cf3fcfb00b6/pytokens-0.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:3f901fe783e06e48e8cbdc82d631fca8f118333798193e026a50ce1b3757ea68", size = 103552, upload-time = "2026-01-30T01:03:12.066Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/dc/08b1a080372afda3cceb4f3c0a7ba2bde9d6a5241f1edb02a22a019ee147/pytokens-0.4.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:8bdb9d0ce90cbf99c525e75a2fa415144fd570a1ba987380190e8b786bc6ef9b", size = 160720, upload-time = "2026-01-30T01:03:13.843Z" },
+    { url = "https://files.pythonhosted.org/packages/64/0c/41ea22205da480837a700e395507e6a24425151dfb7ead73343d6e2d7ffe/pytokens-0.4.1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5502408cab1cb18e128570f8d598981c68a50d0cbd7c61312a90507cd3a1276f", size = 254204, upload-time = "2026-01-30T01:03:14.886Z" },
+    { url = "https://files.pythonhosted.org/packages/e0/d2/afe5c7f8607018beb99971489dbb846508f1b8f351fcefc225fcf4b2adc0/pytokens-0.4.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:29d1d8fb1030af4d231789959f21821ab6325e463f0503a61d204343c9b355d1", size = 268423, upload-time = "2026-01-30T01:03:15.936Z" },
+    { url = "https://files.pythonhosted.org/packages/68/d4/00ffdbd370410c04e9591da9220a68dc1693ef7499173eb3e30d06e05ed1/pytokens-0.4.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:970b08dd6b86058b6dc07efe9e98414f5102974716232d10f32ff39701e841c4", size = 266859, upload-time = "2026-01-30T01:03:17.458Z" },
+    { url = "https://files.pythonhosted.org/packages/a7/c9/c3161313b4ca0c601eeefabd3d3b576edaa9afdefd32da97210700e47652/pytokens-0.4.1-cp313-cp313-win_amd64.whl", hash = "sha256:9bd7d7f544d362576be74f9d5901a22f317efc20046efe2034dced238cbbfe78", size = 103520, upload-time = "2026-01-30T01:03:18.652Z" },
+    { url = "https://files.pythonhosted.org/packages/8f/a7/b470f672e6fc5fee0a01d9e75005a0e617e162381974213a945fcd274843/pytokens-0.4.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:4a14d5f5fc78ce85e426aa159489e2d5961acf0e47575e08f35584009178e321", size = 160821, upload-time = "2026-01-30T01:03:19.684Z" },
+    { url = "https://files.pythonhosted.org/packages/80/98/e83a36fe8d170c911f864bfded690d2542bfcfacb9c649d11a9e6eb9dc41/pytokens-0.4.1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:97f50fd18543be72da51dd505e2ed20d2228c74e0464e4262e4899797803d7fa", size = 254263, upload-time = "2026-01-30T01:03:20.834Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/95/70d7041273890f9f97a24234c00b746e8da86df462620194cef1d411ddeb/pytokens-0.4.1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:dc74c035f9bfca0255c1af77ddd2d6ae8419012805453e4b0e7513e17904545d", size = 268071, upload-time = "2026-01-30T01:03:21.888Z" },
+    { url = "https://files.pythonhosted.org/packages/da/79/76e6d09ae19c99404656d7db9c35dfd20f2086f3eb6ecb496b5b31163bad/pytokens-0.4.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:f66a6bbe741bd431f6d741e617e0f39ec7257ca1f89089593479347cc4d13324", size = 271716, upload-time = "2026-01-30T01:03:23.633Z" },
+    { url = "https://files.pythonhosted.org/packages/79/37/482e55fa1602e0a7ff012661d8c946bafdc05e480ea5a32f4f7e336d4aa9/pytokens-0.4.1-cp314-cp314-win_amd64.whl", hash = "sha256:b35d7e5ad269804f6697727702da3c517bb8a5228afa450ab0fa787732055fc9", size = 104539, upload-time = "2026-01-30T01:03:24.788Z" },
+    { url = "https://files.pythonhosted.org/packages/30/e8/20e7db907c23f3d63b0be3b8a4fd1927f6da2395f5bcc7f72242bb963dfe/pytokens-0.4.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:8fcb9ba3709ff77e77f1c7022ff11d13553f3c30299a9fe246a166903e9091eb", size = 168474, upload-time = "2026-01-30T01:03:26.428Z" },
+    { url = "https://files.pythonhosted.org/packages/d6/81/88a95ee9fafdd8f5f3452107748fd04c24930d500b9aba9738f3ade642cc/pytokens-0.4.1-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:79fc6b8699564e1f9b521582c35435f1bd32dd06822322ec44afdeba666d8cb3", size = 290473, upload-time = "2026-01-30T01:03:27.415Z" },
+    { url = "https://files.pythonhosted.org/packages/cf/35/3aa899645e29b6375b4aed9f8d21df219e7c958c4c186b465e42ee0a06bf/pytokens-0.4.1-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d31b97b3de0f61571a124a00ffe9a81fb9939146c122c11060725bd5aea79975", size = 303485, upload-time = "2026-01-30T01:03:28.558Z" },
+    { url = "https://files.pythonhosted.org/packages/52/a0/07907b6ff512674d9b201859f7d212298c44933633c946703a20c25e9d81/pytokens-0.4.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:967cf6e3fd4adf7de8fc73cd3043754ae79c36475c1c11d514fc72cf5490094a", size = 306698, upload-time = "2026-01-30T01:03:29.653Z" },
+    { url = "https://files.pythonhosted.org/packages/39/2a/cbbf9250020a4a8dd53ba83a46c097b69e5eb49dd14e708f496f548c6612/pytokens-0.4.1-cp314-cp314t-win_amd64.whl", hash = "sha256:584c80c24b078eec1e227079d56dc22ff755e0ba8654d8383b2c549107528918", size = 116287, upload-time = "2026-01-30T01:03:30.912Z" },
+    { url = "https://files.pythonhosted.org/packages/c6/78/397db326746f0a342855b81216ae1f0a32965deccfd7c830a2dbc66d2483/pytokens-0.4.1-py3-none-any.whl", hash = "sha256:26cef14744a8385f35d0e095dc8b3a7583f6c953c2e3d269c7f82484bf5ad2de", size = 13729, upload-time = "2026-01-30T01:03:45.029Z" },
+]
+
+[[package]]
+name = "pywavelets"
+version = "1.9.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/5a/75/50581633d199812205ea8cdd0f6d52f12a624886b74bf1486335b67f01ff/pywavelets-1.9.0.tar.gz", hash = "sha256:148d12203377772bea452a59211d98649c8ee4a05eff019a9021853a36babdc8", size = 3938340, upload-time = "2025-08-04T16:20:04.978Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/bd/8b/ca700d0c174c3a4eec1fbb603f04374d1fed84255c2a9f487cfaa749c865/pywavelets-1.9.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:54662cce4d56f0d6beaa6ebd34b2960f3aa4a43c83c9098a24729e9dc20a4be2", size = 4323640, upload-time = "2025-08-04T16:18:51.683Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/f3/0fa57b6407ea9c4452b0bc182141256b9481b479ffbfc9d7fdb73afe193b/pywavelets-1.9.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:0d8ed4b4d1eab9347e8fe0c5b45008ce5a67225ce5b05766b8b1fa923a5f8b34", size = 4294938, upload-time = "2025-08-04T16:18:53.818Z" },
+    { url = "https://files.pythonhosted.org/packages/ea/95/a998313c8459a57e488ff2b18e24be9e836aedda3aa3a1673197deeaa59a/pywavelets-1.9.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:862be65481fdfecfd84c6b0ca132ba571c12697a082068921bca5b5e039f1371", size = 4472829, upload-time = "2025-08-04T16:18:55.508Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/8c/f316a153f7f89d2753df8a7371d15d0faab87e709fe02715dbc297c79385/pywavelets-1.9.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d76b7fa8fc500b09201d689b4f15bf5887e30ffbe2e1f338eb8470590eb4521a", size = 4524936, upload-time = "2025-08-04T16:18:57.146Z" },
+    { url = "https://files.pythonhosted.org/packages/24/f7/89fdc1caef4b384a341a8e149253e23f36c1702bbb986a26123348624854/pywavelets-1.9.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:aa859d0b686a697c87a47e29319aebe44125f114a4f8c7e444832b921f52de5a", size = 4481475, upload-time = "2025-08-04T16:18:58.725Z" },
+    { url = "https://files.pythonhosted.org/packages/82/53/b733fbfb71853e4a5c430da56e325a763562d65241dd785f0fadb67aed6a/pywavelets-1.9.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:20e97b84a263003e2c7348bcf72beba96edda1a6169f072dc4e4d4ee3a6c7368", size = 4527994, upload-time = "2025-08-04T16:18:59.917Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/15/5f6a6e9fdad8341e42642ed622a5f3033da4ea9d426cc3e574ae418b4726/pywavelets-1.9.0-cp311-cp311-win32.whl", hash = "sha256:f8330cdbfa506000e63e79525716df888998a76414c5cd6ecd9a7e371191fb05", size = 4136109, upload-time = "2025-08-04T16:19:01.511Z" },
+    { url = "https://files.pythonhosted.org/packages/fd/33/62dbb4aea86ec9d79b283127c42cc896f4d4ff265a9aeb1337a7836dd550/pywavelets-1.9.0-cp311-cp311-win_amd64.whl", hash = "sha256:ed10959a17df294ef55948dcc76367d59ec7b6aad67e38dd4e313d2fe3ad47b2", size = 4228321, upload-time = "2025-08-04T16:19:03.164Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/37/3fda13fb2518fdd306528382d6b18c116ceafefff0a7dccd28f1034f4dd2/pywavelets-1.9.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:30baa0788317d3c938560c83fe4fc43817342d06e6c9662a440f73ba3fb25c9b", size = 4320835, upload-time = "2025-08-04T16:19:04.855Z" },
+    { url = "https://files.pythonhosted.org/packages/36/65/a5549325daafc3eae4b52de076798839eaf529a07218f8fb18cccefe76a1/pywavelets-1.9.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:df7436a728339696a7aa955c020ae65c85b0d9d2b5ff5b4cf4551f5d4c50f2c7", size = 4290469, upload-time = "2025-08-04T16:19:06.178Z" },
+    { url = "https://files.pythonhosted.org/packages/05/85/901bb756d37dfa56baa26ef4a3577aecfe9c55f50f51366fede322f8c91d/pywavelets-1.9.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:07b26526db2476974581274c43a9c2447c917418c6bd03c8d305ad2a5cd9fac3", size = 4437717, upload-time = "2025-08-04T16:19:07.514Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/34/0f54dd9c288941294898877008bcb5c07012340cc9c5db9cff1bd185d449/pywavelets-1.9.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:573b650805d2f3c981a0e5ae95191c781a722022c37a0f6eba3fa7eae8e0ee17", size = 4483843, upload-time = "2025-08-04T16:19:08.857Z" },
+    { url = "https://files.pythonhosted.org/packages/48/1f/cff6bb4ea64ff508d8cac3fe113c0aa95310a7446d9efa6829027cc2afdf/pywavelets-1.9.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:3747ec804492436de6e99a7b6130480e53406d047e87dc7095ab40078a515a23", size = 4442236, upload-time = "2025-08-04T16:19:11.061Z" },
+    { url = "https://files.pythonhosted.org/packages/ce/53/a3846eeefe0fb7ca63ae045f038457aa274989a15af793c1b824138caf98/pywavelets-1.9.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:5163665686219c3f43fd5bbfef2391e87146813961dad0f86c62d4aed561f547", size = 4488077, upload-time = "2025-08-04T16:19:12.333Z" },
+    { url = "https://files.pythonhosted.org/packages/f7/98/44852d2fe94455b72dece2db23562145179d63186a1c971125279a1c381f/pywavelets-1.9.0-cp312-cp312-win32.whl", hash = "sha256:80b8ab99f5326a3e724f71f23ba8b0a5b03e333fa79f66e965ea7bed21d42a2f", size = 4134094, upload-time = "2025-08-04T16:19:13.564Z" },
+    { url = "https://files.pythonhosted.org/packages/2c/a7/0d9ee3fe454d606e0f5c8e3aebf99d2ecddbfb681826a29397729538c8f1/pywavelets-1.9.0-cp312-cp312-win_amd64.whl", hash = "sha256:92bfb8a117b8c8d3b72f2757a85395346fcbf37f50598880879ae72bd8e1c4b9", size = 4213900, upload-time = "2025-08-04T16:19:14.939Z" },
+    { url = "https://files.pythonhosted.org/packages/db/a7/dec4e450675d62946ad975f5b4d924437df42d2fae46e91dfddda2de0f5a/pywavelets-1.9.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:74f8455c143818e4b026fc67b27fd82f38e522701b94b8a6d1aaf3a45fcc1a25", size = 4316201, upload-time = "2025-08-04T16:19:16.259Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/0c/b54b86596c0df68027e48c09210e907e628435003e77048384a2dd6767e3/pywavelets-1.9.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:c50320fe0a4a23ddd8835b3dc9b53b09ee05c7cc6c56b81d0916f04fc1649070", size = 4286838, upload-time = "2025-08-04T16:19:17.92Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/9c/333969c3baad8af2e7999e83addcb7bb1d1fd48e2d812fb27e2e89582cb1/pywavelets-1.9.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d6e059265223ed659e5214ab52a84883c88ddf3decbf08d7ec6abb8e4c5ed7be", size = 4430753, upload-time = "2025-08-04T16:19:19.529Z" },
+    { url = "https://files.pythonhosted.org/packages/e5/1b/a24c6ff03b026b826ad7b9267bd63cd34ce026795a0302f8a5403840b8e7/pywavelets-1.9.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ae10ed46c139c7ddb8b1249cfe0989f8ccb610d93f2899507b1b1573a0e424b5", size = 4491315, upload-time = "2025-08-04T16:19:20.717Z" },
+    { url = "https://files.pythonhosted.org/packages/d7/c7/e3fbb502fca3469e51ced4f1e1326364c338be91edc5db5a8ddd26b303fa/pywavelets-1.9.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c8f8b1cc2df012401cb837ee6fa2f59607c7b4fe0ff409d9a4f6906daf40dc86", size = 4437654, upload-time = "2025-08-04T16:19:22.359Z" },
+    { url = "https://files.pythonhosted.org/packages/92/44/c9b25084048d9324881a19b88e0969a4141bcfdc1d218f1b4b680b7af1c1/pywavelets-1.9.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:db43969c7a8fbb17693ecfd14f21616edc3b29f0e47a49b32fa4127c01312a67", size = 4496435, upload-time = "2025-08-04T16:19:23.842Z" },
+    { url = "https://files.pythonhosted.org/packages/cd/b6/b27ec18c72b1dee3314e297af39c5f8136d43cc130dd93cb6c178ca820e5/pywavelets-1.9.0-cp313-cp313-win32.whl", hash = "sha256:9e7d60819d87dcd6c68a2d1bc1d37deb1f4d96607799ab6a25633ea484dcda41", size = 4132709, upload-time = "2025-08-04T16:19:25.415Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/87/78ef3f9fb36cdb16ee82371d22c3a7c89eeb79ec8c9daef6222060da6c79/pywavelets-1.9.0-cp313-cp313-win_amd64.whl", hash = "sha256:0d70da9d7858c869e24dc254f16a61dc09d8a224cad85a10c393b2eccddeb126", size = 4213377, upload-time = "2025-08-04T16:19:26.875Z" },
+    { url = "https://files.pythonhosted.org/packages/8b/cd/ca0d9db0ff29e3843f6af60c2f5eb588794e05ca8eeb872a595867b1f3f5/pywavelets-1.9.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:4dc85f44c38d76a184a1aa2cb038f802c3740428c9bb877525f4be83a223b134", size = 4354336, upload-time = "2025-08-04T16:19:28.745Z" },
+    { url = "https://files.pythonhosted.org/packages/82/d6/70afefcc1139f37d02018a3b1dba3b8fc87601bb7707d9616b7f7a76e269/pywavelets-1.9.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:7acf6f950c6deaecd210fbff44421f234a8ca81eb6f4da945228e498361afa9d", size = 4335721, upload-time = "2025-08-04T16:19:30.371Z" },
+    { url = "https://files.pythonhosted.org/packages/cd/3a/713f731b9ed6df0c36269c8fb62be8bb28eb343b9e26b13d6abda37bce38/pywavelets-1.9.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:144d4fc15c98da56654d0dca2d391b812b8d04127b194a37ad4a497f8e887141", size = 4418702, upload-time = "2025-08-04T16:19:31.743Z" },
+    { url = "https://files.pythonhosted.org/packages/44/e8/f801eb4b5f7a316ba20054948c5d6b27b879c77fab2674942e779974bd86/pywavelets-1.9.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1aa3729585408a979d655736f74b995b511c86b9be1544f95d4a3142f8f4b8b5", size = 4470023, upload-time = "2025-08-04T16:19:32.963Z" },
+    { url = "https://files.pythonhosted.org/packages/e9/cc/44b002cb16f2a392f2082308dd470b3f033fa4925d3efa7c46f790ce895a/pywavelets-1.9.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:e0e24ad6b8eb399c49606dd1fcdcbf9749ad7f6d638be3fe6f59c1f3098821e2", size = 4426498, upload-time = "2025-08-04T16:19:34.151Z" },
+    { url = "https://files.pythonhosted.org/packages/91/fe/2b70276ede7878c5fe8356ca07574db5da63e222ce39a463e84bfad135e8/pywavelets-1.9.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:3830e6657236b53a3aae20c735cccead942bb97c54bbca9e7d07bae01645fe9c", size = 4477528, upload-time = "2025-08-04T16:19:35.932Z" },
+    { url = "https://files.pythonhosted.org/packages/e7/ed/d58b540c15e36508cfeded7b0d39493e811b0dce18d9d4e6787fb2e89685/pywavelets-1.9.0-cp313-cp313t-win32.whl", hash = "sha256:81bb65facfbd7b50dec50450516e72cdc51376ecfdd46f2e945bb89d39bfb783", size = 4186493, upload-time = "2025-08-04T16:19:37.198Z" },
+    { url = "https://files.pythonhosted.org/packages/84/b2/12a849650d618a86bbe4d8876c7e20a7afe59a8cad6f49c57eca9af26dfa/pywavelets-1.9.0-cp313-cp313t-win_amd64.whl", hash = "sha256:47d52cf35e2afded8cfe1133663f6f67106a3220b77645476ae660ad34922cb4", size = 4274821, upload-time = "2025-08-04T16:19:38.436Z" },
+    { url = "https://files.pythonhosted.org/packages/ba/1f/18c82122547c9eec2232d800b02ada1fbd30ce2136137b5738acca9d653e/pywavelets-1.9.0-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:53043d2f3f4e55a576f51ac594fe33181e1d096d958e01524db5070eb3825306", size = 4314440, upload-time = "2025-08-04T16:19:39.701Z" },
+    { url = "https://files.pythonhosted.org/packages/eb/e1/1c92ac6b538ef5388caf1a74af61cf6af16ea6d14115bb53357469cb38d6/pywavelets-1.9.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:56bc36b42b1b125fd9cb56e7956b22f8d0f83c1093f49c77fc042135e588c799", size = 4290162, upload-time = "2025-08-04T16:19:41.322Z" },
+    { url = "https://files.pythonhosted.org/packages/96/d3/d856a2cac8069c20144598fa30a43ca40b5df2e633230848a9a942faf04a/pywavelets-1.9.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:08076eb9a182ddc6054ac86868fb71df6267c341635036dc63d20bdbacd9ad7e", size = 4437162, upload-time = "2025-08-04T16:19:42.556Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/54/777e0495acd4fb008791e84889be33d6e7fc8af095b441d939390b7d2491/pywavelets-1.9.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4ee1ee7d80f88c64b8ec3b5021dd1e94545cc97f0cd479fb51aa7b10f6def08e", size = 4498169, upload-time = "2025-08-04T16:19:43.791Z" },
+    { url = "https://files.pythonhosted.org/packages/76/68/81b97f4d18491a18fbe17e06e2eee80a591ce445942f7b6f522de07813c5/pywavelets-1.9.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:3226b6f62838a6ccd7782cb7449ee5d8b9d61999506c1d9b03b2baf41b01b6fd", size = 4443318, upload-time = "2025-08-04T16:19:45.368Z" },
+    { url = "https://files.pythonhosted.org/packages/92/74/5147f2f0436f7aa131cb1bc13dba32ef5f3862748ae1c7366b4cde380362/pywavelets-1.9.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:9fb7f4b11d18e2db6dd8deee7b3ce8343d45f195f3f278c2af6e3724b1b93a24", size = 4503294, upload-time = "2025-08-04T16:19:46.632Z" },
+    { url = "https://files.pythonhosted.org/packages/3d/d4/af998cc71e869919e0ab45471bd43e91d055ac7bc3ce6f56cc792c9b6bc8/pywavelets-1.9.0-cp314-cp314-win32.whl", hash = "sha256:9902d9fc9812588ab2dce359a1307d8e7f002b53a835640e2c9388fe62a82fd4", size = 4144478, upload-time = "2025-08-04T16:19:47.974Z" },
+    { url = "https://files.pythonhosted.org/packages/7d/66/1d071eae5cc3e3ad0e45334462f8ce526a79767ccb759eb851aa5b78a73a/pywavelets-1.9.0-cp314-cp314-win_amd64.whl", hash = "sha256:7e57792bde40e331d6cc65458e5970fd814dba18cfc4e9add9d051e901a7b7c7", size = 4227186, upload-time = "2025-08-04T16:19:49.57Z" },
+    { url = "https://files.pythonhosted.org/packages/bf/1f/da0c03ac99bd9d20409c0acf6417806d4cf333d70621da9f535dd0cf27fa/pywavelets-1.9.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:b47c72fb4b76d665c4c598a5b621b505944e5b761bf03df9d169029aafcb652f", size = 4354391, upload-time = "2025-08-04T16:19:51.221Z" },
+    { url = "https://files.pythonhosted.org/packages/95/b6/de9e225d8cc307fbb4fda88aefa79442775d5e27c58ee4d3c8a8580ceba6/pywavelets-1.9.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:969e369899e7eab546ea5d77074e4125082e6f9dad71966499bf5dee3758be55", size = 4335810, upload-time = "2025-08-04T16:19:52.813Z" },
+    { url = "https://files.pythonhosted.org/packages/33/3b/336761359d07cd44a4233ca854704ff2a9e78d285879ccc82d254b9daa57/pywavelets-1.9.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8aeffd4f35036c1fade972a61454de5709a7a8fc9a7d177eefe3ac34d76962e5", size = 4422220, upload-time = "2025-08-04T16:19:54.068Z" },
+    { url = "https://files.pythonhosted.org/packages/98/61/76ccc7ada127f14f65eda40e37407b344fd3713acfca7a94d7f0f67fe57d/pywavelets-1.9.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f63f400fcd4e7007529bd06a5886009760da35cd7e76bb6adb5a5fbee4ffeb8c", size = 4470156, upload-time = "2025-08-04T16:19:55.379Z" },
+    { url = "https://files.pythonhosted.org/packages/e0/de/142ca27ee729cf64113c2560748fcf2bd45b899ff282d6f6f3c0e7f177bb/pywavelets-1.9.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:a63bcb6b5759a7eb187aeb5e8cd316b7adab7de1f4b5a0446c9a6bcebdfc22fb", size = 4430167, upload-time = "2025-08-04T16:19:56.566Z" },
+    { url = "https://files.pythonhosted.org/packages/ca/5e/90b39adff710d698c00ba9c3125e2bec99dad7c5f1a3ba37c73a78a6689f/pywavelets-1.9.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:9950eb7c8b942e9bfa53d87c7e45a420dcddbd835c4c5f1aca045a3f775c6113", size = 4477378, upload-time = "2025-08-04T16:19:58.162Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/1a/89f5f4ebcb9d34d9b7b2ac0a868c8b6d8c78d699a36f54407a060cea0566/pywavelets-1.9.0-cp314-cp314t-win32.whl", hash = "sha256:097f157e07858a1eb370e0d9c1bd11185acdece5cca10756d6c3c7b35b52771a", size = 4209132, upload-time = "2025-08-04T16:20:00.371Z" },
+    { url = "https://files.pythonhosted.org/packages/68/d2/a8065103f5e2e613b916489e6c85af6402a1ec64f346d1429e2d32cb8d03/pywavelets-1.9.0-cp314-cp314t-win_amd64.whl", hash = "sha256:3b6ff6ba4f625d8c955f68c2c39b0a913776d406ab31ee4057f34ad4019fb33b", size = 4306793, upload-time = "2025-08-04T16:20:02.934Z" },
+]
+
+[[package]]
+name = "pywinpty"
+version = "3.0.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f7/54/37c7370ba91f579235049dc26cd2c5e657d2a943e01820844ffc81f32176/pywinpty-3.0.3.tar.gz", hash = "sha256:523441dc34d231fb361b4b00f8c99d3f16de02f5005fd544a0183112bcc22412", size = 31309, upload-time = "2026-02-04T21:51:09.524Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/79/c3/3e75075c7f71735f22b66fab0481f2c98e3a4d58cba55cb50ba29114bcf6/pywinpty-3.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:dff25a9a6435f527d7c65608a7e62783fc12076e7d44487a4911ee91be5a8ac8", size = 2114430, upload-time = "2026-02-04T21:54:19.485Z" },
+    { url = "https://files.pythonhosted.org/packages/8d/1e/8a54166a8c5e4f5cb516514bdf4090be4d51a71e8d9f6d98c0aa00fe45d4/pywinpty-3.0.3-cp311-cp311-win_arm64.whl", hash = "sha256:fbc1e230e5b193eef4431cba3f39996a288f9958f9c9f092c8a961d930ee8f68", size = 236191, upload-time = "2026-02-04T21:50:36.239Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/d4/aeb5e1784d2c5bff6e189138a9ca91a090117459cea0c30378e1f2db3d54/pywinpty-3.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:c9081df0e49ffa86d15db4a6ba61530630e48707f987df42c9d3313537e81fc0", size = 2113098, upload-time = "2026-02-04T21:54:37.711Z" },
+    { url = "https://files.pythonhosted.org/packages/b9/53/7278223c493ccfe4883239cf06c823c56460a8010e0fc778eef67858dc14/pywinpty-3.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:15e79d870e18b678fb8a5a6105fd38496b55697c66e6fc0378236026bc4d59e9", size = 234901, upload-time = "2026-02-04T21:53:31.35Z" },
+    { url = "https://files.pythonhosted.org/packages/e5/cb/58d6ed3fd429c96a90ef01ac9a617af10a6d41469219c25e7dc162abbb71/pywinpty-3.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:9c91dbb026050c77bdcef964e63a4f10f01a639113c4d3658332614544c467ab", size = 2112686, upload-time = "2026-02-04T21:52:03.035Z" },
+    { url = "https://files.pythonhosted.org/packages/fd/50/724ed5c38c504d4e58a88a072776a1e880d970789deaeb2b9f7bd9a5141a/pywinpty-3.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:fe1f7911805127c94cf51f89ab14096c6f91ffdcacf993d2da6082b2142a2523", size = 234591, upload-time = "2026-02-04T21:52:29.821Z" },
+    { url = "https://files.pythonhosted.org/packages/f7/ad/90a110538696b12b39fd8758a06d70ded899308198ad2305ac68e361126e/pywinpty-3.0.3-cp313-cp313t-win_amd64.whl", hash = "sha256:3f07a6cf1c1d470d284e614733c3d0f726d2c85e78508ea10a403140c3c0c18a", size = 2112360, upload-time = "2026-02-04T21:55:33.397Z" },
+    { url = "https://files.pythonhosted.org/packages/44/0f/7ffa221757a220402bc79fda44044c3f2cc57338d878ab7d622add6f4581/pywinpty-3.0.3-cp313-cp313t-win_arm64.whl", hash = "sha256:15c7c0b6f8e9d87aabbaff76468dabf6e6121332c40fc1d83548d02a9d6a3759", size = 233107, upload-time = "2026-02-04T21:51:45.455Z" },
+    { url = "https://files.pythonhosted.org/packages/28/88/2ff917caff61e55f38bcdb27de06ee30597881b2cae44fbba7627be015c4/pywinpty-3.0.3-cp314-cp314-win_amd64.whl", hash = "sha256:d4b6b7b0fe0cdcd02e956bd57cfe9f4e5a06514eecf3b5ae174da4f951b58be9", size = 2113282, upload-time = "2026-02-04T21:52:08.188Z" },
+    { url = "https://files.pythonhosted.org/packages/63/32/40a775343ace542cc43ece3f1d1fce454021521ecac41c4c4573081c2336/pywinpty-3.0.3-cp314-cp314-win_arm64.whl", hash = "sha256:34789d685fc0d547ce0c8a65e5a70e56f77d732fa6e03c8f74fefb8cbb252019", size = 234207, upload-time = "2026-02-04T21:51:58.687Z" },
+    { url = "https://files.pythonhosted.org/packages/8d/54/5d5e52f4cb75028104ca6faf36c10f9692389b1986d34471663b4ebebd6d/pywinpty-3.0.3-cp314-cp314t-win_amd64.whl", hash = "sha256:0c37e224a47a971d1a6e08649a1714dac4f63c11920780977829ed5c8cadead1", size = 2112910, upload-time = "2026-02-04T21:52:30.976Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/44/dcd184824e21d4620b06c7db9fbb15c3ad0a0f1fa2e6de79969fb82647ec/pywinpty-3.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:c4e9c3dff7d86ba81937438d5819f19f385a39d8f592d4e8af67148ceb4f6ab5", size = 233425, upload-time = "2026-02-04T21:51:56.754Z" },
+]
+
+[[package]]
+name = "pyxdf"
+version = "1.17.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/f3/1e/60ad39e13262040b693475619c55efcb8d5e52129f2bb52c911e434da829/pyxdf-1.17.3.tar.gz", hash = "sha256:8294353f2989885177277e4a02e260dc9430a60b53b463bad8cdc179fb2c47ce", size = 34372, upload-time = "2026-01-20T14:34:45.21Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1f/b1/da571fa66bc52bac76702cdadfd734aad9ac4f7313da1430c3fb5203eb2f/pyxdf-1.17.3-py3-none-any.whl", hash = "sha256:c7c01d65e5b9144d544f886debc56b46f7807a014192b9f49bcbdb75b3f19a47", size = 21191, upload-time = "2026-01-20T14:34:45.957Z" },
+]
+
+[[package]]
+name = "pyyaml"
+version = "6.0.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/05/8e/961c0007c59b8dd7729d542c61a4d537767a59645b82a0b521206e1e25c2/pyyaml-6.0.3.tar.gz", hash = "sha256:d76623373421df22fb4cf8817020cbb7ef15c725b9d5e45f17e189bfc384190f", size = 130960, upload-time = "2025-09-25T21:33:16.546Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/6d/16/a95b6757765b7b031c9374925bb718d55e0a9ba8a1b6a12d25962ea44347/pyyaml-6.0.3-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:44edc647873928551a01e7a563d7452ccdebee747728c1080d881d68af7b997e", size = 185826, upload-time = "2025-09-25T21:31:58.655Z" },
+    { url = "https://files.pythonhosted.org/packages/16/19/13de8e4377ed53079ee996e1ab0a9c33ec2faf808a4647b7b4c0d46dd239/pyyaml-6.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:652cb6edd41e718550aad172851962662ff2681490a8a711af6a4d288dd96824", size = 175577, upload-time = "2025-09-25T21:32:00.088Z" },
+    { url = "https://files.pythonhosted.org/packages/0c/62/d2eb46264d4b157dae1275b573017abec435397aa59cbcdab6fc978a8af4/pyyaml-6.0.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:10892704fc220243f5305762e276552a0395f7beb4dbf9b14ec8fd43b57f126c", size = 775556, upload-time = "2025-09-25T21:32:01.31Z" },
+    { url = "https://files.pythonhosted.org/packages/10/cb/16c3f2cf3266edd25aaa00d6c4350381c8b012ed6f5276675b9eba8d9ff4/pyyaml-6.0.3-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:850774a7879607d3a6f50d36d04f00ee69e7fc816450e5f7e58d7f17f1ae5c00", size = 882114, upload-time = "2025-09-25T21:32:03.376Z" },
+    { url = "https://files.pythonhosted.org/packages/71/60/917329f640924b18ff085ab889a11c763e0b573da888e8404ff486657602/pyyaml-6.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b8bb0864c5a28024fac8a632c443c87c5aa6f215c0b126c449ae1a150412f31d", size = 806638, upload-time = "2025-09-25T21:32:04.553Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/6f/529b0f316a9fd167281a6c3826b5583e6192dba792dd55e3203d3f8e655a/pyyaml-6.0.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1d37d57ad971609cf3c53ba6a7e365e40660e3be0e5175fa9f2365a379d6095a", size = 767463, upload-time = "2025-09-25T21:32:06.152Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/6a/b627b4e0c1dd03718543519ffb2f1deea4a1e6d42fbab8021936a4d22589/pyyaml-6.0.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:37503bfbfc9d2c40b344d06b2199cf0e96e97957ab1c1b546fd4f87e53e5d3e4", size = 794986, upload-time = "2025-09-25T21:32:07.367Z" },
+    { url = "https://files.pythonhosted.org/packages/45/91/47a6e1c42d9ee337c4839208f30d9f09caa9f720ec7582917b264defc875/pyyaml-6.0.3-cp311-cp311-win32.whl", hash = "sha256:8098f252adfa6c80ab48096053f512f2321f0b998f98150cea9bd23d83e1467b", size = 142543, upload-time = "2025-09-25T21:32:08.95Z" },
+    { url = "https://files.pythonhosted.org/packages/da/e3/ea007450a105ae919a72393cb06f122f288ef60bba2dc64b26e2646fa315/pyyaml-6.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:9f3bfb4965eb874431221a3ff3fdcddc7e74e3b07799e0e84ca4a0f867d449bf", size = 158763, upload-time = "2025-09-25T21:32:09.96Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/33/422b98d2195232ca1826284a76852ad5a86fe23e31b009c9886b2d0fb8b2/pyyaml-6.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7f047e29dcae44602496db43be01ad42fc6f1cc0d8cd6c83d342306c32270196", size = 182063, upload-time = "2025-09-25T21:32:11.445Z" },
+    { url = "https://files.pythonhosted.org/packages/89/a0/6cf41a19a1f2f3feab0e9c0b74134aa2ce6849093d5517a0c550fe37a648/pyyaml-6.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:fc09d0aa354569bc501d4e787133afc08552722d3ab34836a80547331bb5d4a0", size = 173973, upload-time = "2025-09-25T21:32:12.492Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/23/7a778b6bd0b9a8039df8b1b1d80e2e2ad78aa04171592c8a5c43a56a6af4/pyyaml-6.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9149cad251584d5fb4981be1ecde53a1ca46c891a79788c0df828d2f166bda28", size = 775116, upload-time = "2025-09-25T21:32:13.652Z" },
+    { url = "https://files.pythonhosted.org/packages/65/30/d7353c338e12baef4ecc1b09e877c1970bd3382789c159b4f89d6a70dc09/pyyaml-6.0.3-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5fdec68f91a0c6739b380c83b951e2c72ac0197ace422360e6d5a959d8d97b2c", size = 844011, upload-time = "2025-09-25T21:32:15.21Z" },
+    { url = "https://files.pythonhosted.org/packages/8b/9d/b3589d3877982d4f2329302ef98a8026e7f4443c765c46cfecc8858c6b4b/pyyaml-6.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ba1cc08a7ccde2d2ec775841541641e4548226580ab850948cbfda66a1befcdc", size = 807870, upload-time = "2025-09-25T21:32:16.431Z" },
+    { url = "https://files.pythonhosted.org/packages/05/c0/b3be26a015601b822b97d9149ff8cb5ead58c66f981e04fedf4e762f4bd4/pyyaml-6.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8dc52c23056b9ddd46818a57b78404882310fb473d63f17b07d5c40421e47f8e", size = 761089, upload-time = "2025-09-25T21:32:17.56Z" },
+    { url = "https://files.pythonhosted.org/packages/be/8e/98435a21d1d4b46590d5459a22d88128103f8da4c2d4cb8f14f2a96504e1/pyyaml-6.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:41715c910c881bc081f1e8872880d3c650acf13dfa8214bad49ed4cede7c34ea", size = 790181, upload-time = "2025-09-25T21:32:18.834Z" },
+    { url = "https://files.pythonhosted.org/packages/74/93/7baea19427dcfbe1e5a372d81473250b379f04b1bd3c4c5ff825e2327202/pyyaml-6.0.3-cp312-cp312-win32.whl", hash = "sha256:96b533f0e99f6579b3d4d4995707cf36df9100d67e0c8303a0c55b27b5f99bc5", size = 137658, upload-time = "2025-09-25T21:32:20.209Z" },
+    { url = "https://files.pythonhosted.org/packages/86/bf/899e81e4cce32febab4fb42bb97dcdf66bc135272882d1987881a4b519e9/pyyaml-6.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:5fcd34e47f6e0b794d17de1b4ff496c00986e1c83f7ab2fb8fcfe9616ff7477b", size = 154003, upload-time = "2025-09-25T21:32:21.167Z" },
+    { url = "https://files.pythonhosted.org/packages/1a/08/67bd04656199bbb51dbed1439b7f27601dfb576fb864099c7ef0c3e55531/pyyaml-6.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:64386e5e707d03a7e172c0701abfb7e10f0fb753ee1d773128192742712a98fd", size = 140344, upload-time = "2025-09-25T21:32:22.617Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/11/0fd08f8192109f7169db964b5707a2f1e8b745d4e239b784a5a1dd80d1db/pyyaml-6.0.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8da9669d359f02c0b91ccc01cac4a67f16afec0dac22c2ad09f46bee0697eba8", size = 181669, upload-time = "2025-09-25T21:32:23.673Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/16/95309993f1d3748cd644e02e38b75d50cbc0d9561d21f390a76242ce073f/pyyaml-6.0.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:2283a07e2c21a2aa78d9c4442724ec1eb15f5e42a723b99cb3d822d48f5f7ad1", size = 173252, upload-time = "2025-09-25T21:32:25.149Z" },
+    { url = "https://files.pythonhosted.org/packages/50/31/b20f376d3f810b9b2371e72ef5adb33879b25edb7a6d072cb7ca0c486398/pyyaml-6.0.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ee2922902c45ae8ccada2c5b501ab86c36525b883eff4255313a253a3160861c", size = 767081, upload-time = "2025-09-25T21:32:26.575Z" },
+    { url = "https://files.pythonhosted.org/packages/49/1e/a55ca81e949270d5d4432fbbd19dfea5321eda7c41a849d443dc92fd1ff7/pyyaml-6.0.3-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:a33284e20b78bd4a18c8c2282d549d10bc8408a2a7ff57653c0cf0b9be0afce5", size = 841159, upload-time = "2025-09-25T21:32:27.727Z" },
+    { url = "https://files.pythonhosted.org/packages/74/27/e5b8f34d02d9995b80abcef563ea1f8b56d20134d8f4e5e81733b1feceb2/pyyaml-6.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0f29edc409a6392443abf94b9cf89ce99889a1dd5376d94316ae5145dfedd5d6", size = 801626, upload-time = "2025-09-25T21:32:28.878Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/11/ba845c23988798f40e52ba45f34849aa8a1f2d4af4b798588010792ebad6/pyyaml-6.0.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:f7057c9a337546edc7973c0d3ba84ddcdf0daa14533c2065749c9075001090e6", size = 753613, upload-time = "2025-09-25T21:32:30.178Z" },
+    { url = "https://files.pythonhosted.org/packages/3d/e0/7966e1a7bfc0a45bf0a7fb6b98ea03fc9b8d84fa7f2229e9659680b69ee3/pyyaml-6.0.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:eda16858a3cab07b80edaf74336ece1f986ba330fdb8ee0d6c0d68fe82bc96be", size = 794115, upload-time = "2025-09-25T21:32:31.353Z" },
+    { url = "https://files.pythonhosted.org/packages/de/94/980b50a6531b3019e45ddeada0626d45fa85cbe22300844a7983285bed3b/pyyaml-6.0.3-cp313-cp313-win32.whl", hash = "sha256:d0eae10f8159e8fdad514efdc92d74fd8d682c933a6dd088030f3834bc8e6b26", size = 137427, upload-time = "2025-09-25T21:32:32.58Z" },
+    { url = "https://files.pythonhosted.org/packages/97/c9/39d5b874e8b28845e4ec2202b5da735d0199dbe5b8fb85f91398814a9a46/pyyaml-6.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:79005a0d97d5ddabfeeea4cf676af11e647e41d81c9a7722a193022accdb6b7c", size = 154090, upload-time = "2025-09-25T21:32:33.659Z" },
+    { url = "https://files.pythonhosted.org/packages/73/e8/2bdf3ca2090f68bb3d75b44da7bbc71843b19c9f2b9cb9b0f4ab7a5a4329/pyyaml-6.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:5498cd1645aa724a7c71c8f378eb29ebe23da2fc0d7a08071d89469bf1d2defb", size = 140246, upload-time = "2025-09-25T21:32:34.663Z" },
+    { url = "https://files.pythonhosted.org/packages/9d/8c/f4bd7f6465179953d3ac9bc44ac1a8a3e6122cf8ada906b4f96c60172d43/pyyaml-6.0.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:8d1fab6bb153a416f9aeb4b8763bc0f22a5586065f86f7664fc23339fc1c1fac", size = 181814, upload-time = "2025-09-25T21:32:35.712Z" },
+    { url = "https://files.pythonhosted.org/packages/bd/9c/4d95bb87eb2063d20db7b60faa3840c1b18025517ae857371c4dd55a6b3a/pyyaml-6.0.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:34d5fcd24b8445fadc33f9cf348c1047101756fd760b4dacb5c3e99755703310", size = 173809, upload-time = "2025-09-25T21:32:36.789Z" },
+    { url = "https://files.pythonhosted.org/packages/92/b5/47e807c2623074914e29dabd16cbbdd4bf5e9b2db9f8090fa64411fc5382/pyyaml-6.0.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:501a031947e3a9025ed4405a168e6ef5ae3126c59f90ce0cd6f2bfc477be31b7", size = 766454, upload-time = "2025-09-25T21:32:37.966Z" },
+    { url = "https://files.pythonhosted.org/packages/02/9e/e5e9b168be58564121efb3de6859c452fccde0ab093d8438905899a3a483/pyyaml-6.0.3-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:b3bc83488de33889877a0f2543ade9f70c67d66d9ebb4ac959502e12de895788", size = 836355, upload-time = "2025-09-25T21:32:39.178Z" },
+    { url = "https://files.pythonhosted.org/packages/88/f9/16491d7ed2a919954993e48aa941b200f38040928474c9e85ea9e64222c3/pyyaml-6.0.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c458b6d084f9b935061bc36216e8a69a7e293a2f1e68bf956dcd9e6cbcd143f5", size = 794175, upload-time = "2025-09-25T21:32:40.865Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/3f/5989debef34dc6397317802b527dbbafb2b4760878a53d4166579111411e/pyyaml-6.0.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:7c6610def4f163542a622a73fb39f534f8c101d690126992300bf3207eab9764", size = 755228, upload-time = "2025-09-25T21:32:42.084Z" },
+    { url = "https://files.pythonhosted.org/packages/d7/ce/af88a49043cd2e265be63d083fc75b27b6ed062f5f9fd6cdc223ad62f03e/pyyaml-6.0.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:5190d403f121660ce8d1d2c1bb2ef1bd05b5f68533fc5c2ea899bd15f4399b35", size = 789194, upload-time = "2025-09-25T21:32:43.362Z" },
+    { url = "https://files.pythonhosted.org/packages/23/20/bb6982b26a40bb43951265ba29d4c246ef0ff59c9fdcdf0ed04e0687de4d/pyyaml-6.0.3-cp314-cp314-win_amd64.whl", hash = "sha256:4a2e8cebe2ff6ab7d1050ecd59c25d4c8bd7e6f400f5f82b96557ac0abafd0ac", size = 156429, upload-time = "2025-09-25T21:32:57.844Z" },
+    { url = "https://files.pythonhosted.org/packages/f4/f4/a4541072bb9422c8a883ab55255f918fa378ecf083f5b85e87fc2b4eda1b/pyyaml-6.0.3-cp314-cp314-win_arm64.whl", hash = "sha256:93dda82c9c22deb0a405ea4dc5f2d0cda384168e466364dec6255b293923b2f3", size = 143912, upload-time = "2025-09-25T21:32:59.247Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/f9/07dd09ae774e4616edf6cda684ee78f97777bdd15847253637a6f052a62f/pyyaml-6.0.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:02893d100e99e03eda1c8fd5c441d8c60103fd175728e23e431db1b589cf5ab3", size = 189108, upload-time = "2025-09-25T21:32:44.377Z" },
+    { url = "https://files.pythonhosted.org/packages/4e/78/8d08c9fb7ce09ad8c38ad533c1191cf27f7ae1effe5bb9400a46d9437fcf/pyyaml-6.0.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:c1ff362665ae507275af2853520967820d9124984e0f7466736aea23d8611fba", size = 183641, upload-time = "2025-09-25T21:32:45.407Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/5b/3babb19104a46945cf816d047db2788bcaf8c94527a805610b0289a01c6b/pyyaml-6.0.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6adc77889b628398debc7b65c073bcb99c4a0237b248cacaf3fe8a557563ef6c", size = 831901, upload-time = "2025-09-25T21:32:48.83Z" },
+    { url = "https://files.pythonhosted.org/packages/8b/cc/dff0684d8dc44da4d22a13f35f073d558c268780ce3c6ba1b87055bb0b87/pyyaml-6.0.3-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:a80cb027f6b349846a3bf6d73b5e95e782175e52f22108cfa17876aaeff93702", size = 861132, upload-time = "2025-09-25T21:32:50.149Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/5e/f77dc6b9036943e285ba76b49e118d9ea929885becb0a29ba8a7c75e29fe/pyyaml-6.0.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:00c4bdeba853cc34e7dd471f16b4114f4162dc03e6b7afcc2128711f0eca823c", size = 839261, upload-time = "2025-09-25T21:32:51.808Z" },
+    { url = "https://files.pythonhosted.org/packages/ce/88/a9db1376aa2a228197c58b37302f284b5617f56a5d959fd1763fb1675ce6/pyyaml-6.0.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:66e1674c3ef6f541c35191caae2d429b967b99e02040f5ba928632d9a7f0f065", size = 805272, upload-time = "2025-09-25T21:32:52.941Z" },
+    { url = "https://files.pythonhosted.org/packages/da/92/1446574745d74df0c92e6aa4a7b0b3130706a4142b2d1a5869f2eaa423c6/pyyaml-6.0.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:16249ee61e95f858e83976573de0f5b2893b3677ba71c9dd36b9cf8be9ac6d65", size = 829923, upload-time = "2025-09-25T21:32:54.537Z" },
+    { url = "https://files.pythonhosted.org/packages/f0/7a/1c7270340330e575b92f397352af856a8c06f230aa3e76f86b39d01b416a/pyyaml-6.0.3-cp314-cp314t-win_amd64.whl", hash = "sha256:4ad1906908f2f5ae4e5a8ddfce73c320c2a1429ec52eafd27138b7f1cbe341c9", size = 174062, upload-time = "2025-09-25T21:32:55.767Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/12/de94a39c2ef588c7e6455cfbe7343d3b2dc9d6b6b2f40c4c6565744c873d/pyyaml-6.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:ebc55a14a21cb14062aa4162f906cd962b28e2e9ea38f9b4391244cd8de4ae0b", size = 149341, upload-time = "2025-09-25T21:32:56.828Z" },
+]
+
+[[package]]
+name = "pyyaml-env-tag"
+version = "1.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pyyaml" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/eb/2e/79c822141bfd05a853236b504869ebc6b70159afc570e1d5a20641782eaa/pyyaml_env_tag-1.1.tar.gz", hash = "sha256:2eb38b75a2d21ee0475d6d97ec19c63287a7e140231e4214969d0eac923cd7ff", size = 5737, upload-time = "2025-05-13T15:24:01.64Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/04/11/432f32f8097b03e3cd5fe57e88efb685d964e2e5178a48ed61e841f7fdce/pyyaml_env_tag-1.1-py3-none-any.whl", hash = "sha256:17109e1a528561e32f026364712fee1264bc2ea6715120891174ed1b980d2e04", size = 4722, upload-time = "2025-05-13T15:23:59.629Z" },
+]
+
+[[package]]
+name = "pyzmq"
+version = "27.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cffi", marker = "implementation_name == 'pypy'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/04/0b/3c9baedbdf613ecaa7aa07027780b8867f57b6293b6ee50de316c9f3222b/pyzmq-27.1.0.tar.gz", hash = "sha256:ac0765e3d44455adb6ddbf4417dcce460fc40a05978c08efdf2948072f6db540", size = 281750, upload-time = "2025-09-08T23:10:18.157Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/06/5d/305323ba86b284e6fcb0d842d6adaa2999035f70f8c38a9b6d21ad28c3d4/pyzmq-27.1.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:226b091818d461a3bef763805e75685e478ac17e9008f49fce2d3e52b3d58b86", size = 1333328, upload-time = "2025-09-08T23:07:45.946Z" },
+    { url = "https://files.pythonhosted.org/packages/bd/a0/fc7e78a23748ad5443ac3275943457e8452da67fda347e05260261108cbc/pyzmq-27.1.0-cp311-cp311-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:0790a0161c281ca9723f804871b4027f2e8b5a528d357c8952d08cd1a9c15581", size = 908803, upload-time = "2025-09-08T23:07:47.551Z" },
+    { url = "https://files.pythonhosted.org/packages/7e/22/37d15eb05f3bdfa4abea6f6d96eb3bb58585fbd3e4e0ded4e743bc650c97/pyzmq-27.1.0-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c895a6f35476b0c3a54e3eb6ccf41bf3018de937016e6e18748317f25d4e925f", size = 668836, upload-time = "2025-09-08T23:07:49.436Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/c4/2a6fe5111a01005fc7af3878259ce17684fabb8852815eda6225620f3c59/pyzmq-27.1.0-cp311-cp311-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5bbf8d3630bf96550b3be8e1fc0fea5cbdc8d5466c1192887bd94869da17a63e", size = 857038, upload-time = "2025-09-08T23:07:51.234Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/eb/bfdcb41d0db9cd233d6fb22dc131583774135505ada800ebf14dfb0a7c40/pyzmq-27.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:15c8bd0fe0dabf808e2d7a681398c4e5ded70a551ab47482067a572c054c8e2e", size = 1657531, upload-time = "2025-09-08T23:07:52.795Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/21/e3180ca269ed4a0de5c34417dfe71a8ae80421198be83ee619a8a485b0c7/pyzmq-27.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:bafcb3dd171b4ae9f19ee6380dfc71ce0390fefaf26b504c0e5f628d7c8c54f2", size = 2034786, upload-time = "2025-09-08T23:07:55.047Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/b1/5e21d0b517434b7f33588ff76c177c5a167858cc38ef740608898cd329f2/pyzmq-27.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e829529fcaa09937189178115c49c504e69289abd39967cd8a4c215761373394", size = 1894220, upload-time = "2025-09-08T23:07:57.172Z" },
+    { url = "https://files.pythonhosted.org/packages/03/f2/44913a6ff6941905efc24a1acf3d3cb6146b636c546c7406c38c49c403d4/pyzmq-27.1.0-cp311-cp311-win32.whl", hash = "sha256:6df079c47d5902af6db298ec92151db82ecb557af663098b92f2508c398bb54f", size = 567155, upload-time = "2025-09-08T23:07:59.05Z" },
+    { url = "https://files.pythonhosted.org/packages/23/6d/d8d92a0eb270a925c9b4dd039c0b4dc10abc2fcbc48331788824ef113935/pyzmq-27.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:190cbf120fbc0fc4957b56866830def56628934a9d112aec0e2507aa6a032b97", size = 633428, upload-time = "2025-09-08T23:08:00.663Z" },
+    { url = "https://files.pythonhosted.org/packages/ae/14/01afebc96c5abbbd713ecfc7469cfb1bc801c819a74ed5c9fad9a48801cb/pyzmq-27.1.0-cp311-cp311-win_arm64.whl", hash = "sha256:eca6b47df11a132d1745eb3b5b5e557a7dae2c303277aa0e69c6ba91b8736e07", size = 559497, upload-time = "2025-09-08T23:08:02.15Z" },
+    { url = "https://files.pythonhosted.org/packages/92/e7/038aab64a946d535901103da16b953c8c9cc9c961dadcbf3609ed6428d23/pyzmq-27.1.0-cp312-abi3-macosx_10_15_universal2.whl", hash = "sha256:452631b640340c928fa343801b0d07eb0c3789a5ffa843f6e1a9cee0ba4eb4fc", size = 1306279, upload-time = "2025-09-08T23:08:03.807Z" },
+    { url = "https://files.pythonhosted.org/packages/e8/5e/c3c49fdd0f535ef45eefcc16934648e9e59dace4a37ee88fc53f6cd8e641/pyzmq-27.1.0-cp312-abi3-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1c179799b118e554b66da67d88ed66cd37a169f1f23b5d9f0a231b4e8d44a113", size = 895645, upload-time = "2025-09-08T23:08:05.301Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/e5/b0b2504cb4e903a74dcf1ebae157f9e20ebb6ea76095f6cfffea28c42ecd/pyzmq-27.1.0-cp312-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3837439b7f99e60312f0c926a6ad437b067356dc2bc2ec96eb395fd0fe804233", size = 652574, upload-time = "2025-09-08T23:08:06.828Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/9b/c108cdb55560eaf253f0cbdb61b29971e9fb34d9c3499b0e96e4e60ed8a5/pyzmq-27.1.0-cp312-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:43ad9a73e3da1fab5b0e7e13402f0b2fb934ae1c876c51d0afff0e7c052eca31", size = 840995, upload-time = "2025-09-08T23:08:08.396Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/bb/b79798ca177b9eb0825b4c9998c6af8cd2a7f15a6a1a4272c1d1a21d382f/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:0de3028d69d4cdc475bfe47a6128eb38d8bc0e8f4d69646adfbcd840facbac28", size = 1642070, upload-time = "2025-09-08T23:08:09.989Z" },
+    { url = "https://files.pythonhosted.org/packages/9c/80/2df2e7977c4ede24c79ae39dcef3899bfc5f34d1ca7a5b24f182c9b7a9ca/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_i686.whl", hash = "sha256:cf44a7763aea9298c0aa7dbf859f87ed7012de8bda0f3977b6fb1d96745df856", size = 2021121, upload-time = "2025-09-08T23:08:11.907Z" },
+    { url = "https://files.pythonhosted.org/packages/46/bd/2d45ad24f5f5ae7e8d01525eb76786fa7557136555cac7d929880519e33a/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f30f395a9e6fbca195400ce833c731e7b64c3919aa481af4d88c3759e0cb7496", size = 1878550, upload-time = "2025-09-08T23:08:13.513Z" },
+    { url = "https://files.pythonhosted.org/packages/e6/2f/104c0a3c778d7c2ab8190e9db4f62f0b6957b53c9d87db77c284b69f33ea/pyzmq-27.1.0-cp312-abi3-win32.whl", hash = "sha256:250e5436a4ba13885494412b3da5d518cd0d3a278a1ae640e113c073a5f88edd", size = 559184, upload-time = "2025-09-08T23:08:15.163Z" },
+    { url = "https://files.pythonhosted.org/packages/fc/7f/a21b20d577e4100c6a41795842028235998a643b1ad406a6d4163ea8f53e/pyzmq-27.1.0-cp312-abi3-win_amd64.whl", hash = "sha256:9ce490cf1d2ca2ad84733aa1d69ce6855372cb5ce9223802450c9b2a7cba0ccf", size = 619480, upload-time = "2025-09-08T23:08:17.192Z" },
+    { url = "https://files.pythonhosted.org/packages/78/c2/c012beae5f76b72f007a9e91ee9401cb88c51d0f83c6257a03e785c81cc2/pyzmq-27.1.0-cp312-abi3-win_arm64.whl", hash = "sha256:75a2f36223f0d535a0c919e23615fc85a1e23b71f40c7eb43d7b1dedb4d8f15f", size = 552993, upload-time = "2025-09-08T23:08:18.926Z" },
+    { url = "https://files.pythonhosted.org/packages/60/cb/84a13459c51da6cec1b7b1dc1a47e6db6da50b77ad7fd9c145842750a011/pyzmq-27.1.0-cp313-cp313-android_24_arm64_v8a.whl", hash = "sha256:93ad4b0855a664229559e45c8d23797ceac03183c7b6f5b4428152a6b06684a5", size = 1122436, upload-time = "2025-09-08T23:08:20.801Z" },
+    { url = "https://files.pythonhosted.org/packages/dc/b6/94414759a69a26c3dd674570a81813c46a078767d931a6c70ad29fc585cb/pyzmq-27.1.0-cp313-cp313-android_24_x86_64.whl", hash = "sha256:fbb4f2400bfda24f12f009cba62ad5734148569ff4949b1b6ec3b519444342e6", size = 1156301, upload-time = "2025-09-08T23:08:22.47Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/ad/15906493fd40c316377fd8a8f6b1f93104f97a752667763c9b9c1b71d42d/pyzmq-27.1.0-cp313-cp313t-macosx_10_15_universal2.whl", hash = "sha256:e343d067f7b151cfe4eb3bb796a7752c9d369eed007b91231e817071d2c2fec7", size = 1341197, upload-time = "2025-09-08T23:08:24.286Z" },
+    { url = "https://files.pythonhosted.org/packages/14/1d/d343f3ce13db53a54cb8946594e567410b2125394dafcc0268d8dda027e0/pyzmq-27.1.0-cp313-cp313t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:08363b2011dec81c354d694bdecaef4770e0ae96b9afea70b3f47b973655cc05", size = 897275, upload-time = "2025-09-08T23:08:26.063Z" },
+    { url = "https://files.pythonhosted.org/packages/69/2d/d83dd6d7ca929a2fc67d2c3005415cdf322af7751d773524809f9e585129/pyzmq-27.1.0-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d54530c8c8b5b8ddb3318f481297441af102517602b569146185fa10b63f4fa9", size = 660469, upload-time = "2025-09-08T23:08:27.623Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/cd/9822a7af117f4bc0f1952dbe9ef8358eb50a24928efd5edf54210b850259/pyzmq-27.1.0-cp313-cp313t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6f3afa12c392f0a44a2414056d730eebc33ec0926aae92b5ad5cf26ebb6cc128", size = 847961, upload-time = "2025-09-08T23:08:29.672Z" },
+    { url = "https://files.pythonhosted.org/packages/9a/12/f003e824a19ed73be15542f172fd0ec4ad0b60cf37436652c93b9df7c585/pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c65047adafe573ff023b3187bb93faa583151627bc9c51fc4fb2c561ed689d39", size = 1650282, upload-time = "2025-09-08T23:08:31.349Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/4a/e82d788ed58e9a23995cee70dbc20c9aded3d13a92d30d57ec2291f1e8a3/pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:90e6e9441c946a8b0a667356f7078d96411391a3b8f80980315455574177ec97", size = 2024468, upload-time = "2025-09-08T23:08:33.543Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/94/2da0a60841f757481e402b34bf4c8bf57fa54a5466b965de791b1e6f747d/pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:add071b2d25f84e8189aaf0882d39a285b42fa3853016ebab234a5e78c7a43db", size = 1885394, upload-time = "2025-09-08T23:08:35.51Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/6f/55c10e2e49ad52d080dc24e37adb215e5b0d64990b57598abc2e3f01725b/pyzmq-27.1.0-cp313-cp313t-win32.whl", hash = "sha256:7ccc0700cfdf7bd487bea8d850ec38f204478681ea02a582a8da8171b7f90a1c", size = 574964, upload-time = "2025-09-08T23:08:37.178Z" },
+    { url = "https://files.pythonhosted.org/packages/87/4d/2534970ba63dd7c522d8ca80fb92777f362c0f321900667c615e2067cb29/pyzmq-27.1.0-cp313-cp313t-win_amd64.whl", hash = "sha256:8085a9fba668216b9b4323be338ee5437a235fe275b9d1610e422ccc279733e2", size = 641029, upload-time = "2025-09-08T23:08:40.595Z" },
+    { url = "https://files.pythonhosted.org/packages/f6/fa/f8aea7a28b0641f31d40dea42d7ef003fded31e184ef47db696bc74cd610/pyzmq-27.1.0-cp313-cp313t-win_arm64.whl", hash = "sha256:6bb54ca21bcfe361e445256c15eedf083f153811c37be87e0514934d6913061e", size = 561541, upload-time = "2025-09-08T23:08:42.668Z" },
+    { url = "https://files.pythonhosted.org/packages/87/45/19efbb3000956e82d0331bafca5d9ac19ea2857722fa2caacefb6042f39d/pyzmq-27.1.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:ce980af330231615756acd5154f29813d553ea555485ae712c491cd483df6b7a", size = 1341197, upload-time = "2025-09-08T23:08:44.973Z" },
+    { url = "https://files.pythonhosted.org/packages/48/43/d72ccdbf0d73d1343936296665826350cb1e825f92f2db9db3e61c2162a2/pyzmq-27.1.0-cp314-cp314t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1779be8c549e54a1c38f805e56d2a2e5c009d26de10921d7d51cfd1c8d4632ea", size = 897175, upload-time = "2025-09-08T23:08:46.601Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/2e/a483f73a10b65a9ef0161e817321d39a770b2acf8bcf3004a28d90d14a94/pyzmq-27.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7200bb0f03345515df50d99d3db206a0a6bee1955fbb8c453c76f5bf0e08fb96", size = 660427, upload-time = "2025-09-08T23:08:48.187Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/d2/5f36552c2d3e5685abe60dfa56f91169f7a2d99bbaf67c5271022ab40863/pyzmq-27.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:01c0e07d558b06a60773744ea6251f769cd79a41a97d11b8bf4ab8f034b0424d", size = 847929, upload-time = "2025-09-08T23:08:49.76Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/2a/404b331f2b7bf3198e9945f75c4c521f0c6a3a23b51f7a4a401b94a13833/pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:80d834abee71f65253c91540445d37c4c561e293ba6e741b992f20a105d69146", size = 1650193, upload-time = "2025-09-08T23:08:51.7Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/0b/f4107e33f62a5acf60e3ded67ed33d79b4ce18de432625ce2fc5093d6388/pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:544b4e3b7198dde4a62b8ff6685e9802a9a1ebf47e77478a5eb88eca2a82f2fd", size = 2024388, upload-time = "2025-09-08T23:08:53.393Z" },
+    { url = "https://files.pythonhosted.org/packages/0d/01/add31fe76512642fd6e40e3a3bd21f4b47e242c8ba33efb6809e37076d9b/pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:cedc4c68178e59a4046f97eca31b148ddcf51e88677de1ef4e78cf06c5376c9a", size = 1885316, upload-time = "2025-09-08T23:08:55.702Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/59/a5f38970f9bf07cee96128de79590bb354917914a9be11272cfc7ff26af0/pyzmq-27.1.0-cp314-cp314t-win32.whl", hash = "sha256:1f0b2a577fd770aa6f053211a55d1c47901f4d537389a034c690291485e5fe92", size = 587472, upload-time = "2025-09-08T23:08:58.18Z" },
+    { url = "https://files.pythonhosted.org/packages/70/d8/78b1bad170f93fcf5e3536e70e8fadac55030002275c9a29e8f5719185de/pyzmq-27.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:19c9468ae0437f8074af379e986c5d3d7d7bfe033506af442e8c879732bedbe0", size = 661401, upload-time = "2025-09-08T23:08:59.802Z" },
+    { url = "https://files.pythonhosted.org/packages/81/d6/4bfbb40c9a0b42fc53c7cf442f6385db70b40f74a783130c5d0a5aa62228/pyzmq-27.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:dc5dbf68a7857b59473f7df42650c621d7e8923fb03fa74a526890f4d33cc4d7", size = 575170, upload-time = "2025-09-08T23:09:01.418Z" },
+    { url = "https://files.pythonhosted.org/packages/4c/c6/c4dcdecdbaa70969ee1fdced6d7b8f60cfabe64d25361f27ac4665a70620/pyzmq-27.1.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:18770c8d3563715387139060d37859c02ce40718d1faf299abddcdcc6a649066", size = 836265, upload-time = "2025-09-08T23:09:49.376Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/79/f38c92eeaeb03a2ccc2ba9866f0439593bb08c5e3b714ac1d553e5c96e25/pyzmq-27.1.0-pp311-pypy311_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:ac25465d42f92e990f8d8b0546b01c391ad431c3bf447683fdc40565941d0604", size = 800208, upload-time = "2025-09-08T23:09:51.073Z" },
+    { url = "https://files.pythonhosted.org/packages/49/0e/3f0d0d335c6b3abb9b7b723776d0b21fa7f3a6c819a0db6097059aada160/pyzmq-27.1.0-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:53b40f8ae006f2734ee7608d59ed661419f087521edbfc2149c3932e9c14808c", size = 567747, upload-time = "2025-09-08T23:09:52.698Z" },
+    { url = "https://files.pythonhosted.org/packages/a1/cf/f2b3784d536250ffd4be70e049f3b60981235d70c6e8ce7e3ef21e1adb25/pyzmq-27.1.0-pp311-pypy311_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f605d884e7c8be8fe1aa94e0a783bf3f591b84c24e4bc4f3e7564c82ac25e271", size = 747371, upload-time = "2025-09-08T23:09:54.563Z" },
+    { url = "https://files.pythonhosted.org/packages/01/1b/5dbe84eefc86f48473947e2f41711aded97eecef1231f4558f1f02713c12/pyzmq-27.1.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:c9f7f6e13dff2e44a6afeaf2cf54cee5929ad64afaf4d40b50f93c58fc687355", size = 544862, upload-time = "2025-09-08T23:09:56.509Z" },
+]
+
+[[package]]
+name = "questionary"
+version = "2.1.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "prompt-toolkit", marker = "sys_platform != 'emscripten'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/f6/45/eafb0bba0f9988f6a2520f9ca2df2c82ddfa8d67c95d6625452e97b204a5/questionary-2.1.1.tar.gz", hash = "sha256:3d7e980292bb0107abaa79c68dd3eee3c561b83a0f89ae482860b181c8bd412d", size = 25845, upload-time = "2025-08-28T19:00:20.851Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3c/26/1062c7ec1b053db9e499b4d2d5bc231743201b74051c973dadeac80a8f43/questionary-2.1.1-py3-none-any.whl", hash = "sha256:a51af13f345f1cdea62347589fbb6df3b290306ab8930713bfae4d475a7d4a59", size = 36753, upload-time = "2025-08-28T19:00:19.56Z" },
+]
+
+[[package]]
+name = "referencing"
+version = "0.37.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "attrs" },
+    { name = "rpds-py" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/22/f5/df4e9027acead3ecc63e50fe1e36aca1523e1719559c499951bb4b53188f/referencing-0.37.0.tar.gz", hash = "sha256:44aefc3142c5b842538163acb373e24cce6632bd54bdb01b21ad5863489f50d8", size = 78036, upload-time = "2025-10-13T15:30:48.871Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2c/58/ca301544e1fa93ed4f80d724bf5b194f6e4b945841c5bfd555878eea9fcb/referencing-0.37.0-py3-none-any.whl", hash = "sha256:381329a9f99628c9069361716891d34ad94af76e461dcb0335825aecc7692231", size = 26766, upload-time = "2025-10-13T15:30:47.625Z" },
+]
+
+[[package]]
+name = "requests"
+version = "2.32.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "certifi" },
+    { name = "charset-normalizer" },
+    { name = "idna" },
+    { name = "urllib3" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/c9/74/b3ff8e6c8446842c3f5c837e9c3dfcfe2018ea6ecef224c710c85ef728f4/requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf", size = 134517, upload-time = "2025-08-18T20:46:02.573Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1e/db/4254e3eabe8020b458f1a747140d32277ec7a271daf1d235b70dc0b4e6e3/requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6", size = 64738, upload-time = "2025-08-18T20:46:00.542Z" },
+]
+
+[[package]]
+name = "rfc3339-validator"
+version = "0.1.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "six" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/28/ea/a9387748e2d111c3c2b275ba970b735e04e15cdb1eb30693b6b5708c4dbd/rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b", size = 5513, upload-time = "2021-05-12T16:37:54.178Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/7b/44/4e421b96b67b2daff264473f7465db72fbdf36a07e05494f50300cc7b0c6/rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa", size = 3490, upload-time = "2021-05-12T16:37:52.536Z" },
+]
+
+[[package]]
+name = "rfc3986-validator"
+version = "0.1.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/da/88/f270de456dd7d11dcc808abfa291ecdd3f45ff44e3b549ffa01b126464d0/rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055", size = 6760, upload-time = "2019-10-28T16:00:19.144Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/9e/51/17023c0f8f1869d8806b979a2bffa3f861f26a3f1a66b094288323fba52f/rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9", size = 4242, upload-time = "2019-10-28T16:00:13.976Z" },
+]
+
+[[package]]
+name = "rfc3987-syntax"
+version = "1.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "lark" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/2c/06/37c1a5557acf449e8e406a830a05bf885ac47d33270aec454ef78675008d/rfc3987_syntax-1.1.0.tar.gz", hash = "sha256:717a62cbf33cffdd16dfa3a497d81ce48a660ea691b1ddd7be710c22f00b4a0d", size = 14239, upload-time = "2025-07-18T01:05:05.015Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/7e/71/44ce230e1b7fadd372515a97e32a83011f906ddded8d03e3c6aafbdedbb7/rfc3987_syntax-1.1.0-py3-none-any.whl", hash = "sha256:6c3d97604e4c5ce9f714898e05401a0445a641cfa276432b0a648c80856f6a3f", size = 8046, upload-time = "2025-07-18T01:05:03.843Z" },
+]
+
+[[package]]
+name = "rich"
+version = "14.3.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "markdown-it-py" },
+    { name = "pygments" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b3/c6/f3b320c27991c46f43ee9d856302c70dc2d0fb2dba4842ff739d5f46b393/rich-14.3.3.tar.gz", hash = "sha256:b8daa0b9e4eef54dd8cf7c86c03713f53241884e814f4e2f5fb342fe520f639b", size = 230582, upload-time = "2026-02-19T17:23:12.474Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/14/25/b208c5683343959b670dc001595f2f3737e051da617f66c31f7c4fa93abc/rich-14.3.3-py3-none-any.whl", hash = "sha256:793431c1f8619afa7d3b52b2cdec859562b950ea0d4b6b505397612db8d5362d", size = 310458, upload-time = "2026-02-19T17:23:13.732Z" },
+]
+
+[[package]]
+name = "rpds-py"
+version = "0.30.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/af/3f2f423103f1113b36230496629986e0ef7e199d2aa8392452b484b38ced/rpds_py-0.30.0.tar.gz", hash = "sha256:dd8ff7cf90014af0c0f787eea34794ebf6415242ee1d6fa91eaba725cc441e84", size = 69469, upload-time = "2025-11-30T20:24:38.837Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/4d/6e/f964e88b3d2abee2a82c1ac8366da848fce1c6d834dc2132c3fda3970290/rpds_py-0.30.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:a2bffea6a4ca9f01b3f8e548302470306689684e61602aa3d141e34da06cf425", size = 370157, upload-time = "2025-11-30T20:21:53.789Z" },
+    { url = "https://files.pythonhosted.org/packages/94/ba/24e5ebb7c1c82e74c4e4f33b2112a5573ddc703915b13a073737b59b86e0/rpds_py-0.30.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dc4f992dfe1e2bc3ebc7444f6c7051b4bc13cd8e33e43511e8ffd13bf407010d", size = 359676, upload-time = "2025-11-30T20:21:55.475Z" },
+    { url = "https://files.pythonhosted.org/packages/84/86/04dbba1b087227747d64d80c3b74df946b986c57af0a9f0c98726d4d7a3b/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:422c3cb9856d80b09d30d2eb255d0754b23e090034e1deb4083f8004bd0761e4", size = 389938, upload-time = "2025-11-30T20:21:57.079Z" },
+    { url = "https://files.pythonhosted.org/packages/42/bb/1463f0b1722b7f45431bdd468301991d1328b16cffe0b1c2918eba2c4eee/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:07ae8a593e1c3c6b82ca3292efbe73c30b61332fd612e05abee07c79359f292f", size = 402932, upload-time = "2025-11-30T20:21:58.47Z" },
+    { url = "https://files.pythonhosted.org/packages/99/ee/2520700a5c1f2d76631f948b0736cdf9b0acb25abd0ca8e889b5c62ac2e3/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:12f90dd7557b6bd57f40abe7747e81e0c0b119bef015ea7726e69fe550e394a4", size = 525830, upload-time = "2025-11-30T20:21:59.699Z" },
+    { url = "https://files.pythonhosted.org/packages/e0/ad/bd0331f740f5705cc555a5e17fdf334671262160270962e69a2bdef3bf76/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:99b47d6ad9a6da00bec6aabe5a6279ecd3c06a329d4aa4771034a21e335c3a97", size = 412033, upload-time = "2025-11-30T20:22:00.991Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/1e/372195d326549bb51f0ba0f2ecb9874579906b97e08880e7a65c3bef1a99/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33f559f3104504506a44bb666b93a33f5d33133765b0c216a5bf2f1e1503af89", size = 390828, upload-time = "2025-11-30T20:22:02.723Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/2b/d88bb33294e3e0c76bc8f351a3721212713629ffca1700fa94979cb3eae8/rpds_py-0.30.0-cp311-cp311-manylinux_2_31_riscv64.whl", hash = "sha256:946fe926af6e44f3697abbc305ea168c2c31d3e3ef1058cf68f379bf0335a78d", size = 404683, upload-time = "2025-11-30T20:22:04.367Z" },
+    { url = "https://files.pythonhosted.org/packages/50/32/c759a8d42bcb5289c1fac697cd92f6fe01a018dd937e62ae77e0e7f15702/rpds_py-0.30.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:495aeca4b93d465efde585977365187149e75383ad2684f81519f504f5c13038", size = 421583, upload-time = "2025-11-30T20:22:05.814Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/81/e729761dbd55ddf5d84ec4ff1f47857f4374b0f19bdabfcf929164da3e24/rpds_py-0.30.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d9a0ca5da0386dee0655b4ccdf46119df60e0f10da268d04fe7cc87886872ba7", size = 572496, upload-time = "2025-11-30T20:22:07.713Z" },
+    { url = "https://files.pythonhosted.org/packages/14/f6/69066a924c3557c9c30baa6ec3a0aa07526305684c6f86c696b08860726c/rpds_py-0.30.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:8d6d1cc13664ec13c1b84241204ff3b12f9bb82464b8ad6e7a5d3486975c2eed", size = 598669, upload-time = "2025-11-30T20:22:09.312Z" },
+    { url = "https://files.pythonhosted.org/packages/5f/48/905896b1eb8a05630d20333d1d8ffd162394127b74ce0b0784ae04498d32/rpds_py-0.30.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:3896fa1be39912cf0757753826bc8bdc8ca331a28a7c4ae46b7a21280b06bb85", size = 561011, upload-time = "2025-11-30T20:22:11.309Z" },
+    { url = "https://files.pythonhosted.org/packages/22/16/cd3027c7e279d22e5eb431dd3c0fbc677bed58797fe7581e148f3f68818b/rpds_py-0.30.0-cp311-cp311-win32.whl", hash = "sha256:55f66022632205940f1827effeff17c4fa7ae1953d2b74a8581baaefb7d16f8c", size = 221406, upload-time = "2025-11-30T20:22:13.101Z" },
+    { url = "https://files.pythonhosted.org/packages/fa/5b/e7b7aa136f28462b344e652ee010d4de26ee9fd16f1bfd5811f5153ccf89/rpds_py-0.30.0-cp311-cp311-win_amd64.whl", hash = "sha256:a51033ff701fca756439d641c0ad09a41d9242fa69121c7d8769604a0a629825", size = 236024, upload-time = "2025-11-30T20:22:14.853Z" },
+    { url = "https://files.pythonhosted.org/packages/14/a6/364bba985e4c13658edb156640608f2c9e1d3ea3c81b27aa9d889fff0e31/rpds_py-0.30.0-cp311-cp311-win_arm64.whl", hash = "sha256:47b0ef6231c58f506ef0b74d44e330405caa8428e770fec25329ed2cb971a229", size = 229069, upload-time = "2025-11-30T20:22:16.577Z" },
+    { url = "https://files.pythonhosted.org/packages/03/e7/98a2f4ac921d82f33e03f3835f5bf3a4a40aa1bfdc57975e74a97b2b4bdd/rpds_py-0.30.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:a161f20d9a43006833cd7068375a94d035714d73a172b681d8881820600abfad", size = 375086, upload-time = "2025-11-30T20:22:17.93Z" },
+    { url = "https://files.pythonhosted.org/packages/4d/a1/bca7fd3d452b272e13335db8d6b0b3ecde0f90ad6f16f3328c6fb150c889/rpds_py-0.30.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6abc8880d9d036ecaafe709079969f56e876fcf107f7a8e9920ba6d5a3878d05", size = 359053, upload-time = "2025-11-30T20:22:19.297Z" },
+    { url = "https://files.pythonhosted.org/packages/65/1c/ae157e83a6357eceff62ba7e52113e3ec4834a84cfe07fa4b0757a7d105f/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ca28829ae5f5d569bb62a79512c842a03a12576375d5ece7d2cadf8abe96ec28", size = 390763, upload-time = "2025-11-30T20:22:21.661Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/36/eb2eb8515e2ad24c0bd43c3ee9cd74c33f7ca6430755ccdb240fd3144c44/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a1010ed9524c73b94d15919ca4d41d8780980e1765babf85f9a2f90d247153dd", size = 408951, upload-time = "2025-11-30T20:22:23.408Z" },
+    { url = "https://files.pythonhosted.org/packages/d6/65/ad8dc1784a331fabbd740ef6f71ce2198c7ed0890dab595adb9ea2d775a1/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f8d1736cfb49381ba528cd5baa46f82fdc65c06e843dab24dd70b63d09121b3f", size = 514622, upload-time = "2025-11-30T20:22:25.16Z" },
+    { url = "https://files.pythonhosted.org/packages/63/8e/0cfa7ae158e15e143fe03993b5bcd743a59f541f5952e1546b1ac1b5fd45/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d948b135c4693daff7bc2dcfc4ec57237a29bd37e60c2fabf5aff2bbacf3e2f1", size = 414492, upload-time = "2025-11-30T20:22:26.505Z" },
+    { url = "https://files.pythonhosted.org/packages/60/1b/6f8f29f3f995c7ffdde46a626ddccd7c63aefc0efae881dc13b6e5d5bb16/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47f236970bccb2233267d89173d3ad2703cd36a0e2a6e92d0560d333871a3d23", size = 394080, upload-time = "2025-11-30T20:22:27.934Z" },
+    { url = "https://files.pythonhosted.org/packages/6d/d5/a266341051a7a3ca2f4b750a3aa4abc986378431fc2da508c5034d081b70/rpds_py-0.30.0-cp312-cp312-manylinux_2_31_riscv64.whl", hash = "sha256:2e6ecb5a5bcacf59c3f912155044479af1d0b6681280048b338b28e364aca1f6", size = 408680, upload-time = "2025-11-30T20:22:29.341Z" },
+    { url = "https://files.pythonhosted.org/packages/10/3b/71b725851df9ab7a7a4e33cf36d241933da66040d195a84781f49c50490c/rpds_py-0.30.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a8fa71a2e078c527c3e9dc9fc5a98c9db40bcc8a92b4e8858e36d329f8684b51", size = 423589, upload-time = "2025-11-30T20:22:31.469Z" },
+    { url = "https://files.pythonhosted.org/packages/00/2b/e59e58c544dc9bd8bd8384ecdb8ea91f6727f0e37a7131baeff8d6f51661/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:73c67f2db7bc334e518d097c6d1e6fed021bbc9b7d678d6cc433478365d1d5f5", size = 573289, upload-time = "2025-11-30T20:22:32.997Z" },
+    { url = "https://files.pythonhosted.org/packages/da/3e/a18e6f5b460893172a7d6a680e86d3b6bc87a54c1f0b03446a3c8c7b588f/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:5ba103fb455be00f3b1c2076c9d4264bfcb037c976167a6047ed82f23153f02e", size = 599737, upload-time = "2025-11-30T20:22:34.419Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/e2/714694e4b87b85a18e2c243614974413c60aa107fd815b8cbc42b873d1d7/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7cee9c752c0364588353e627da8a7e808a66873672bcb5f52890c33fd965b394", size = 563120, upload-time = "2025-11-30T20:22:35.903Z" },
+    { url = "https://files.pythonhosted.org/packages/6f/ab/d5d5e3bcedb0a77f4f613706b750e50a5a3ba1c15ccd3665ecc636c968fd/rpds_py-0.30.0-cp312-cp312-win32.whl", hash = "sha256:1ab5b83dbcf55acc8b08fc62b796ef672c457b17dbd7820a11d6c52c06839bdf", size = 223782, upload-time = "2025-11-30T20:22:37.271Z" },
+    { url = "https://files.pythonhosted.org/packages/39/3b/f786af9957306fdc38a74cef405b7b93180f481fb48453a114bb6465744a/rpds_py-0.30.0-cp312-cp312-win_amd64.whl", hash = "sha256:a090322ca841abd453d43456ac34db46e8b05fd9b3b4ac0c78bcde8b089f959b", size = 240463, upload-time = "2025-11-30T20:22:39.021Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/d2/b91dc748126c1559042cfe41990deb92c4ee3e2b415f6b5234969ffaf0cc/rpds_py-0.30.0-cp312-cp312-win_arm64.whl", hash = "sha256:669b1805bd639dd2989b281be2cfd951c6121b65e729d9b843e9639ef1fd555e", size = 230868, upload-time = "2025-11-30T20:22:40.493Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/dc/d61221eb88ff410de3c49143407f6f3147acf2538c86f2ab7ce65ae7d5f9/rpds_py-0.30.0-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:f83424d738204d9770830d35290ff3273fbb02b41f919870479fab14b9d303b2", size = 374887, upload-time = "2025-11-30T20:22:41.812Z" },
+    { url = "https://files.pythonhosted.org/packages/fd/32/55fb50ae104061dbc564ef15cc43c013dc4a9f4527a1f4d99baddf56fe5f/rpds_py-0.30.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:e7536cd91353c5273434b4e003cbda89034d67e7710eab8761fd918ec6c69cf8", size = 358904, upload-time = "2025-11-30T20:22:43.479Z" },
+    { url = "https://files.pythonhosted.org/packages/58/70/faed8186300e3b9bdd138d0273109784eea2396c68458ed580f885dfe7ad/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2771c6c15973347f50fece41fc447c054b7ac2ae0502388ce3b6738cd366e3d4", size = 389945, upload-time = "2025-11-30T20:22:44.819Z" },
+    { url = "https://files.pythonhosted.org/packages/bd/a8/073cac3ed2c6387df38f71296d002ab43496a96b92c823e76f46b8af0543/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0a59119fc6e3f460315fe9d08149f8102aa322299deaa5cab5b40092345c2136", size = 407783, upload-time = "2025-11-30T20:22:46.103Z" },
+    { url = "https://files.pythonhosted.org/packages/77/57/5999eb8c58671f1c11eba084115e77a8899d6e694d2a18f69f0ba471ec8b/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:76fec018282b4ead0364022e3c54b60bf368b9d926877957a8624b58419169b7", size = 515021, upload-time = "2025-11-30T20:22:47.458Z" },
+    { url = "https://files.pythonhosted.org/packages/e0/af/5ab4833eadc36c0a8ed2bc5c0de0493c04f6c06de223170bd0798ff98ced/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:692bef75a5525db97318e8cd061542b5a79812d711ea03dbc1f6f8dbb0c5f0d2", size = 414589, upload-time = "2025-11-30T20:22:48.872Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/de/f7192e12b21b9e9a68a6d0f249b4af3fdcdff8418be0767a627564afa1f1/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9027da1ce107104c50c81383cae773ef5c24d296dd11c99e2629dbd7967a20c6", size = 394025, upload-time = "2025-11-30T20:22:50.196Z" },
+    { url = "https://files.pythonhosted.org/packages/91/c4/fc70cd0249496493500e7cc2de87504f5aa6509de1e88623431fec76d4b6/rpds_py-0.30.0-cp313-cp313-manylinux_2_31_riscv64.whl", hash = "sha256:9cf69cdda1f5968a30a359aba2f7f9aa648a9ce4b580d6826437f2b291cfc86e", size = 408895, upload-time = "2025-11-30T20:22:51.87Z" },
+    { url = "https://files.pythonhosted.org/packages/58/95/d9275b05ab96556fefff73a385813eb66032e4c99f411d0795372d9abcea/rpds_py-0.30.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a4796a717bf12b9da9d3ad002519a86063dcac8988b030e405704ef7d74d2d9d", size = 422799, upload-time = "2025-11-30T20:22:53.341Z" },
+    { url = "https://files.pythonhosted.org/packages/06/c1/3088fc04b6624eb12a57eb814f0d4997a44b0d208d6cace713033ff1a6ba/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5d4c2aa7c50ad4728a094ebd5eb46c452e9cb7edbfdb18f9e1221f597a73e1e7", size = 572731, upload-time = "2025-11-30T20:22:54.778Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/42/c612a833183b39774e8ac8fecae81263a68b9583ee343db33ab571a7ce55/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ba81a9203d07805435eb06f536d95a266c21e5b2dfbf6517748ca40c98d19e31", size = 599027, upload-time = "2025-11-30T20:22:56.212Z" },
+    { url = "https://files.pythonhosted.org/packages/5f/60/525a50f45b01d70005403ae0e25f43c0384369ad24ffe46e8d9068b50086/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:945dccface01af02675628334f7cf49c2af4c1c904748efc5cf7bbdf0b579f95", size = 563020, upload-time = "2025-11-30T20:22:58.2Z" },
+    { url = "https://files.pythonhosted.org/packages/0b/5d/47c4655e9bcd5ca907148535c10e7d489044243cc9941c16ed7cd53be91d/rpds_py-0.30.0-cp313-cp313-win32.whl", hash = "sha256:b40fb160a2db369a194cb27943582b38f79fc4887291417685f3ad693c5a1d5d", size = 223139, upload-time = "2025-11-30T20:23:00.209Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/e1/485132437d20aa4d3e1d8b3fb5a5e65aa8139f1e097080c2a8443201742c/rpds_py-0.30.0-cp313-cp313-win_amd64.whl", hash = "sha256:806f36b1b605e2d6a72716f321f20036b9489d29c51c91f4dd29a3e3afb73b15", size = 240224, upload-time = "2025-11-30T20:23:02.008Z" },
+    { url = "https://files.pythonhosted.org/packages/24/95/ffd128ed1146a153d928617b0ef673960130be0009c77d8fbf0abe306713/rpds_py-0.30.0-cp313-cp313-win_arm64.whl", hash = "sha256:d96c2086587c7c30d44f31f42eae4eac89b60dabbac18c7669be3700f13c3ce1", size = 230645, upload-time = "2025-11-30T20:23:03.43Z" },
+    { url = "https://files.pythonhosted.org/packages/ff/1b/b10de890a0def2a319a2626334a7f0ae388215eb60914dbac8a3bae54435/rpds_py-0.30.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:eb0b93f2e5c2189ee831ee43f156ed34e2a89a78a66b98cadad955972548be5a", size = 364443, upload-time = "2025-11-30T20:23:04.878Z" },
+    { url = "https://files.pythonhosted.org/packages/0d/bf/27e39f5971dc4f305a4fb9c672ca06f290f7c4e261c568f3dea16a410d47/rpds_py-0.30.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:922e10f31f303c7c920da8981051ff6d8c1a56207dbdf330d9047f6d30b70e5e", size = 353375, upload-time = "2025-11-30T20:23:06.342Z" },
+    { url = "https://files.pythonhosted.org/packages/40/58/442ada3bba6e8e6615fc00483135c14a7538d2ffac30e2d933ccf6852232/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cdc62c8286ba9bf7f47befdcea13ea0e26bf294bda99758fd90535cbaf408000", size = 383850, upload-time = "2025-11-30T20:23:07.825Z" },
+    { url = "https://files.pythonhosted.org/packages/14/14/f59b0127409a33c6ef6f5c1ebd5ad8e32d7861c9c7adfa9a624fc3889f6c/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:47f9a91efc418b54fb8190a6b4aa7813a23fb79c51f4bb84e418f5476c38b8db", size = 392812, upload-time = "2025-11-30T20:23:09.228Z" },
+    { url = "https://files.pythonhosted.org/packages/b3/66/e0be3e162ac299b3a22527e8913767d869e6cc75c46bd844aa43fb81ab62/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1f3587eb9b17f3789ad50824084fa6f81921bbf9a795826570bda82cb3ed91f2", size = 517841, upload-time = "2025-11-30T20:23:11.186Z" },
+    { url = "https://files.pythonhosted.org/packages/3d/55/fa3b9cf31d0c963ecf1ba777f7cf4b2a2c976795ac430d24a1f43d25a6ba/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:39c02563fc592411c2c61d26b6c5fe1e51eaa44a75aa2c8735ca88b0d9599daa", size = 408149, upload-time = "2025-11-30T20:23:12.864Z" },
+    { url = "https://files.pythonhosted.org/packages/60/ca/780cf3b1a32b18c0f05c441958d3758f02544f1d613abf9488cd78876378/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:51a1234d8febafdfd33a42d97da7a43f5dcb120c1060e352a3fbc0c6d36e2083", size = 383843, upload-time = "2025-11-30T20:23:14.638Z" },
+    { url = "https://files.pythonhosted.org/packages/82/86/d5f2e04f2aa6247c613da0c1dd87fcd08fa17107e858193566048a1e2f0a/rpds_py-0.30.0-cp313-cp313t-manylinux_2_31_riscv64.whl", hash = "sha256:eb2c4071ab598733724c08221091e8d80e89064cd472819285a9ab0f24bcedb9", size = 396507, upload-time = "2025-11-30T20:23:16.105Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/9a/453255d2f769fe44e07ea9785c8347edaf867f7026872e76c1ad9f7bed92/rpds_py-0.30.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6bdfdb946967d816e6adf9a3d8201bfad269c67efe6cefd7093ef959683c8de0", size = 414949, upload-time = "2025-11-30T20:23:17.539Z" },
+    { url = "https://files.pythonhosted.org/packages/a3/31/622a86cdc0c45d6df0e9ccb6becdba5074735e7033c20e401a6d9d0e2ca0/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c77afbd5f5250bf27bf516c7c4a016813eb2d3e116139aed0096940c5982da94", size = 565790, upload-time = "2025-11-30T20:23:19.029Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/5d/15bbf0fb4a3f58a3b1c67855ec1efcc4ceaef4e86644665fff03e1b66d8d/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:61046904275472a76c8c90c9ccee9013d70a6d0f73eecefd38c1ae7c39045a08", size = 590217, upload-time = "2025-11-30T20:23:20.885Z" },
+    { url = "https://files.pythonhosted.org/packages/6d/61/21b8c41f68e60c8cc3b2e25644f0e3681926020f11d06ab0b78e3c6bbff1/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4c5f36a861bc4b7da6516dbdf302c55313afa09b81931e8280361a4f6c9a2d27", size = 555806, upload-time = "2025-11-30T20:23:22.488Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/39/7e067bb06c31de48de3eb200f9fc7c58982a4d3db44b07e73963e10d3be9/rpds_py-0.30.0-cp313-cp313t-win32.whl", hash = "sha256:3d4a69de7a3e50ffc214ae16d79d8fbb0922972da0356dcf4d0fdca2878559c6", size = 211341, upload-time = "2025-11-30T20:23:24.449Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/4d/222ef0b46443cf4cf46764d9c630f3fe4abaa7245be9417e56e9f52b8f65/rpds_py-0.30.0-cp313-cp313t-win_amd64.whl", hash = "sha256:f14fc5df50a716f7ece6a80b6c78bb35ea2ca47c499e422aa4463455dd96d56d", size = 225768, upload-time = "2025-11-30T20:23:25.908Z" },
+    { url = "https://files.pythonhosted.org/packages/86/81/dad16382ebbd3d0e0328776d8fd7ca94220e4fa0798d1dc5e7da48cb3201/rpds_py-0.30.0-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:68f19c879420aa08f61203801423f6cd5ac5f0ac4ac82a2368a9fcd6a9a075e0", size = 362099, upload-time = "2025-11-30T20:23:27.316Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/60/19f7884db5d5603edf3c6bce35408f45ad3e97e10007df0e17dd57af18f8/rpds_py-0.30.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:ec7c4490c672c1a0389d319b3a9cfcd098dcdc4783991553c332a15acf7249be", size = 353192, upload-time = "2025-11-30T20:23:29.151Z" },
+    { url = "https://files.pythonhosted.org/packages/bf/c4/76eb0e1e72d1a9c4703c69607cec123c29028bff28ce41588792417098ac/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f251c812357a3fed308d684a5079ddfb9d933860fc6de89f2b7ab00da481e65f", size = 384080, upload-time = "2025-11-30T20:23:30.785Z" },
+    { url = "https://files.pythonhosted.org/packages/72/87/87ea665e92f3298d1b26d78814721dc39ed8d2c74b86e83348d6b48a6f31/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ac98b175585ecf4c0348fd7b29c3864bda53b805c773cbf7bfdaffc8070c976f", size = 394841, upload-time = "2025-11-30T20:23:32.209Z" },
+    { url = "https://files.pythonhosted.org/packages/77/ad/7783a89ca0587c15dcbf139b4a8364a872a25f861bdb88ed99f9b0dec985/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3e62880792319dbeb7eb866547f2e35973289e7d5696c6e295476448f5b63c87", size = 516670, upload-time = "2025-11-30T20:23:33.742Z" },
+    { url = "https://files.pythonhosted.org/packages/5b/3c/2882bdac942bd2172f3da574eab16f309ae10a3925644e969536553cb4ee/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4e7fc54e0900ab35d041b0601431b0a0eb495f0851a0639b6ef90f7741b39a18", size = 408005, upload-time = "2025-11-30T20:23:35.253Z" },
+    { url = "https://files.pythonhosted.org/packages/ce/81/9a91c0111ce1758c92516a3e44776920b579d9a7c09b2b06b642d4de3f0f/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47e77dc9822d3ad616c3d5759ea5631a75e5809d5a28707744ef79d7a1bcfcad", size = 382112, upload-time = "2025-11-30T20:23:36.842Z" },
+    { url = "https://files.pythonhosted.org/packages/cf/8e/1da49d4a107027e5fbc64daeab96a0706361a2918da10cb41769244b805d/rpds_py-0.30.0-cp314-cp314-manylinux_2_31_riscv64.whl", hash = "sha256:b4dc1a6ff022ff85ecafef7979a2c6eb423430e05f1165d6688234e62ba99a07", size = 399049, upload-time = "2025-11-30T20:23:38.343Z" },
+    { url = "https://files.pythonhosted.org/packages/df/5a/7ee239b1aa48a127570ec03becbb29c9d5a9eb092febbd1699d567cae859/rpds_py-0.30.0-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4559c972db3a360808309e06a74628b95eaccbf961c335c8fe0d590cf587456f", size = 415661, upload-time = "2025-11-30T20:23:40.263Z" },
+    { url = "https://files.pythonhosted.org/packages/70/ea/caa143cf6b772f823bc7929a45da1fa83569ee49b11d18d0ada7f5ee6fd6/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:0ed177ed9bded28f8deb6ab40c183cd1192aa0de40c12f38be4d59cd33cb5c65", size = 565606, upload-time = "2025-11-30T20:23:42.186Z" },
+    { url = "https://files.pythonhosted.org/packages/64/91/ac20ba2d69303f961ad8cf55bf7dbdb4763f627291ba3d0d7d67333cced9/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:ad1fa8db769b76ea911cb4e10f049d80bf518c104f15b3edb2371cc65375c46f", size = 591126, upload-time = "2025-11-30T20:23:44.086Z" },
+    { url = "https://files.pythonhosted.org/packages/21/20/7ff5f3c8b00c8a95f75985128c26ba44503fb35b8e0259d812766ea966c7/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:46e83c697b1f1c72b50e5ee5adb4353eef7406fb3f2043d64c33f20ad1c2fc53", size = 553371, upload-time = "2025-11-30T20:23:46.004Z" },
+    { url = "https://files.pythonhosted.org/packages/72/c7/81dadd7b27c8ee391c132a6b192111ca58d866577ce2d9b0ca157552cce0/rpds_py-0.30.0-cp314-cp314-win32.whl", hash = "sha256:ee454b2a007d57363c2dfd5b6ca4a5d7e2c518938f8ed3b706e37e5d470801ed", size = 215298, upload-time = "2025-11-30T20:23:47.696Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/d2/1aaac33287e8cfb07aab2e6b8ac1deca62f6f65411344f1433c55e6f3eb8/rpds_py-0.30.0-cp314-cp314-win_amd64.whl", hash = "sha256:95f0802447ac2d10bcc69f6dc28fe95fdf17940367b21d34e34c737870758950", size = 228604, upload-time = "2025-11-30T20:23:49.501Z" },
+    { url = "https://files.pythonhosted.org/packages/e8/95/ab005315818cc519ad074cb7784dae60d939163108bd2b394e60dc7b5461/rpds_py-0.30.0-cp314-cp314-win_arm64.whl", hash = "sha256:613aa4771c99f03346e54c3f038e4cc574ac09a3ddfb0e8878487335e96dead6", size = 222391, upload-time = "2025-11-30T20:23:50.96Z" },
+    { url = "https://files.pythonhosted.org/packages/9e/68/154fe0194d83b973cdedcdcc88947a2752411165930182ae41d983dcefa6/rpds_py-0.30.0-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:7e6ecfcb62edfd632e56983964e6884851786443739dbfe3582947e87274f7cb", size = 364868, upload-time = "2025-11-30T20:23:52.494Z" },
+    { url = "https://files.pythonhosted.org/packages/83/69/8bbc8b07ec854d92a8b75668c24d2abcb1719ebf890f5604c61c9369a16f/rpds_py-0.30.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:a1d0bc22a7cdc173fedebb73ef81e07faef93692b8c1ad3733b67e31e1b6e1b8", size = 353747, upload-time = "2025-11-30T20:23:54.036Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/00/ba2e50183dbd9abcce9497fa5149c62b4ff3e22d338a30d690f9af970561/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d08f00679177226c4cb8c5265012eea897c8ca3b93f429e546600c971bcbae7", size = 383795, upload-time = "2025-11-30T20:23:55.556Z" },
+    { url = "https://files.pythonhosted.org/packages/05/6f/86f0272b84926bcb0e4c972262f54223e8ecc556b3224d281e6598fc9268/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5965af57d5848192c13534f90f9dd16464f3c37aaf166cc1da1cae1fd5a34898", size = 393330, upload-time = "2025-11-30T20:23:57.033Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/e9/0e02bb2e6dc63d212641da45df2b0bf29699d01715913e0d0f017ee29438/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9a4e86e34e9ab6b667c27f3211ca48f73dba7cd3d90f8d5b11be56e5dbc3fb4e", size = 518194, upload-time = "2025-11-30T20:23:58.637Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/ca/be7bca14cf21513bdf9c0606aba17d1f389ea2b6987035eb4f62bd923f25/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e5d3e6b26f2c785d65cc25ef1e5267ccbe1b069c5c21b8cc724efee290554419", size = 408340, upload-time = "2025-11-30T20:24:00.2Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/c7/736e00ebf39ed81d75544c0da6ef7b0998f8201b369acf842f9a90dc8fce/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:626a7433c34566535b6e56a1b39a7b17ba961e97ce3b80ec62e6f1312c025551", size = 383765, upload-time = "2025-11-30T20:24:01.759Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/3f/da50dfde9956aaf365c4adc9533b100008ed31aea635f2b8d7b627e25b49/rpds_py-0.30.0-cp314-cp314t-manylinux_2_31_riscv64.whl", hash = "sha256:acd7eb3f4471577b9b5a41baf02a978e8bdeb08b4b355273994f8b87032000a8", size = 396834, upload-time = "2025-11-30T20:24:03.687Z" },
+    { url = "https://files.pythonhosted.org/packages/4e/00/34bcc2565b6020eab2623349efbdec810676ad571995911f1abdae62a3a0/rpds_py-0.30.0-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:fe5fa731a1fa8a0a56b0977413f8cacac1768dad38d16b3a296712709476fbd5", size = 415470, upload-time = "2025-11-30T20:24:05.232Z" },
+    { url = "https://files.pythonhosted.org/packages/8c/28/882e72b5b3e6f718d5453bd4d0d9cf8df36fddeb4ddbbab17869d5868616/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:74a3243a411126362712ee1524dfc90c650a503502f135d54d1b352bd01f2404", size = 565630, upload-time = "2025-11-30T20:24:06.878Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/97/04a65539c17692de5b85c6e293520fd01317fd878ea1995f0367d4532fb1/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:3e8eeb0544f2eb0d2581774be4c3410356eba189529a6b3e36bbbf9696175856", size = 591148, upload-time = "2025-11-30T20:24:08.445Z" },
+    { url = "https://files.pythonhosted.org/packages/85/70/92482ccffb96f5441aab93e26c4d66489eb599efdcf96fad90c14bbfb976/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:dbd936cde57abfee19ab3213cf9c26be06d60750e60a8e4dd85d1ab12c8b1f40", size = 556030, upload-time = "2025-11-30T20:24:10.956Z" },
+    { url = "https://files.pythonhosted.org/packages/20/53/7c7e784abfa500a2b6b583b147ee4bb5a2b3747a9166bab52fec4b5b5e7d/rpds_py-0.30.0-cp314-cp314t-win32.whl", hash = "sha256:dc824125c72246d924f7f796b4f63c1e9dc810c7d9e2355864b3c3a73d59ade0", size = 211570, upload-time = "2025-11-30T20:24:12.735Z" },
+    { url = "https://files.pythonhosted.org/packages/d0/02/fa464cdfbe6b26e0600b62c528b72d8608f5cc49f96b8d6e38c95d60c676/rpds_py-0.30.0-cp314-cp314t-win_amd64.whl", hash = "sha256:27f4b0e92de5bfbc6f86e43959e6edd1425c33b5e69aab0984a72047f2bcf1e3", size = 226532, upload-time = "2025-11-30T20:24:14.634Z" },
+    { url = "https://files.pythonhosted.org/packages/69/71/3f34339ee70521864411f8b6992e7ab13ac30d8e4e3309e07c7361767d91/rpds_py-0.30.0-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:c2262bdba0ad4fc6fb5545660673925c2d2a5d9e2e0fb603aad545427be0fc58", size = 372292, upload-time = "2025-11-30T20:24:16.537Z" },
+    { url = "https://files.pythonhosted.org/packages/57/09/f183df9b8f2d66720d2ef71075c59f7e1b336bec7ee4c48f0a2b06857653/rpds_py-0.30.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:ee6af14263f25eedc3bb918a3c04245106a42dfd4f5c2285ea6f997b1fc3f89a", size = 362128, upload-time = "2025-11-30T20:24:18.086Z" },
+    { url = "https://files.pythonhosted.org/packages/7a/68/5c2594e937253457342e078f0cc1ded3dd7b2ad59afdbf2d354869110a02/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3adbb8179ce342d235c31ab8ec511e66c73faa27a47e076ccc92421add53e2bb", size = 391542, upload-time = "2025-11-30T20:24:20.092Z" },
+    { url = "https://files.pythonhosted.org/packages/49/5c/31ef1afd70b4b4fbdb2800249f34c57c64beb687495b10aec0365f53dfc4/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:250fa00e9543ac9b97ac258bd37367ff5256666122c2d0f2bc97577c60a1818c", size = 404004, upload-time = "2025-11-30T20:24:22.231Z" },
+    { url = "https://files.pythonhosted.org/packages/e3/63/0cfbea38d05756f3440ce6534d51a491d26176ac045e2707adc99bb6e60a/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9854cf4f488b3d57b9aaeb105f06d78e5529d3145b1e4a41750167e8c213c6d3", size = 527063, upload-time = "2025-11-30T20:24:24.302Z" },
+    { url = "https://files.pythonhosted.org/packages/42/e6/01e1f72a2456678b0f618fc9a1a13f882061690893c192fcad9f2926553a/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:993914b8e560023bc0a8bf742c5f303551992dcb85e247b1e5c7f4a7d145bda5", size = 413099, upload-time = "2025-11-30T20:24:25.916Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/25/8df56677f209003dcbb180765520c544525e3ef21ea72279c98b9aa7c7fb/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58edca431fb9b29950807e301826586e5bbf24163677732429770a697ffe6738", size = 392177, upload-time = "2025-11-30T20:24:27.834Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/b4/0a771378c5f16f8115f796d1f437950158679bcd2a7c68cf251cfb00ed5b/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_31_riscv64.whl", hash = "sha256:dea5b552272a944763b34394d04577cf0f9bd013207bc32323b5a89a53cf9c2f", size = 406015, upload-time = "2025-11-30T20:24:29.457Z" },
+    { url = "https://files.pythonhosted.org/packages/36/d8/456dbba0af75049dc6f63ff295a2f92766b9d521fa00de67a2bd6427d57a/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ba3af48635eb83d03f6c9735dfb21785303e73d22ad03d489e88adae6eab8877", size = 423736, upload-time = "2025-11-30T20:24:31.22Z" },
+    { url = "https://files.pythonhosted.org/packages/13/64/b4d76f227d5c45a7e0b796c674fd81b0a6c4fbd48dc29271857d8219571c/rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:dff13836529b921e22f15cb099751209a60009731a68519630a24d61f0b1b30a", size = 573981, upload-time = "2025-11-30T20:24:32.934Z" },
+    { url = "https://files.pythonhosted.org/packages/20/91/092bacadeda3edf92bf743cc96a7be133e13a39cdbfd7b5082e7ab638406/rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_i686.whl", hash = "sha256:1b151685b23929ab7beec71080a8889d4d6d9fa9a983d213f07121205d48e2c4", size = 599782, upload-time = "2025-11-30T20:24:35.169Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/b7/b95708304cd49b7b6f82fdd039f1748b66ec2b21d6a45180910802f1abf1/rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:ac37f9f516c51e5753f27dfdef11a88330f04de2d564be3991384b2f3535d02e", size = 562191, upload-time = "2025-11-30T20:24:36.853Z" },
+]
+
+[[package]]
+name = "scikit-image"
+version = "0.26.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "imageio" },
+    { name = "lazy-loader" },
+    { name = "networkx" },
+    { name = "numpy" },
+    { name = "packaging" },
+    { name = "pillow" },
+    { name = "scipy" },
+    { name = "tifffile" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/a1/b4/2528bb43c67d48053a7a649a9666432dc307d66ba02e3a6d5c40f46655df/scikit_image-0.26.0.tar.gz", hash = "sha256:f5f970ab04efad85c24714321fcc91613fcb64ef2a892a13167df2f3e59199fa", size = 22729739, upload-time = "2025-12-20T17:12:21.824Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/76/16/8a407688b607f86f81f8c649bf0d68a2a6d67375f18c2d660aba20f5b648/scikit_image-0.26.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b1ede33a0fb3731457eaf53af6361e73dd510f449dac437ab54573b26788baf0", size = 12355510, upload-time = "2025-12-20T17:10:31.628Z" },
+    { url = "https://files.pythonhosted.org/packages/6b/f9/7efc088ececb6f6868fd4475e16cfafc11f242ce9ab5fc3557d78b5da0d4/scikit_image-0.26.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7af7aa331c6846bd03fa28b164c18d0c3fd419dbb888fb05e958ac4257a78fdd", size = 12056334, upload-time = "2025-12-20T17:10:34.559Z" },
+    { url = "https://files.pythonhosted.org/packages/9f/1e/bc7fb91fb5ff65ef42346c8b7ee8b09b04eabf89235ab7dbfdfd96cbd1ea/scikit_image-0.26.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9ea6207d9e9d21c3f464efe733121c0504e494dbdc7728649ff3e23c3c5a4953", size = 13297768, upload-time = "2025-12-20T17:10:37.733Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/2a/e71c1a7d90e70da67b88ccc609bd6ae54798d5847369b15d3a8052232f9d/scikit_image-0.26.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:74aa5518ccea28121f57a95374581d3b979839adc25bb03f289b1bc9b99c58af", size = 13711217, upload-time = "2025-12-20T17:10:40.935Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/59/9637ee12c23726266b91296791465218973ce1ad3e4c56fc81e4d8e7d6e1/scikit_image-0.26.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d5c244656de905e195a904e36dbc18585e06ecf67d90f0482cbde63d7f9ad59d", size = 14337782, upload-time = "2025-12-20T17:10:43.452Z" },
+    { url = "https://files.pythonhosted.org/packages/e7/5c/a3e1e0860f9294663f540c117e4bf83d55e5b47c281d475cc06227e88411/scikit_image-0.26.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:21a818ee6ca2f2131b9e04d8eb7637b5c18773ebe7b399ad23dcc5afaa226d2d", size = 14805997, upload-time = "2025-12-20T17:10:45.93Z" },
+    { url = "https://files.pythonhosted.org/packages/d3/c6/2eeacf173da041a9e388975f54e5c49df750757fcfc3ee293cdbbae1ea0a/scikit_image-0.26.0-cp311-cp311-win_amd64.whl", hash = "sha256:9490360c8d3f9a7e85c8de87daf7c0c66507960cf4947bb9610d1751928721c7", size = 11878486, upload-time = "2025-12-20T17:10:48.246Z" },
+    { url = "https://files.pythonhosted.org/packages/c3/a4/a852c4949b9058d585e762a66bf7e9a2cd3be4795cd940413dfbfbb0ce79/scikit_image-0.26.0-cp311-cp311-win_arm64.whl", hash = "sha256:0baa0108d2d027f34d748e84e592b78acc23e965a5de0e4bb03cf371de5c0581", size = 11346518, upload-time = "2025-12-20T17:10:50.575Z" },
+    { url = "https://files.pythonhosted.org/packages/99/e8/e13757982264b33a1621628f86b587e9a73a13f5256dad49b19ba7dc9083/scikit_image-0.26.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d454b93a6fa770ac5ae2d33570f8e7a321bb80d29511ce4b6b78058ebe176e8c", size = 12376452, upload-time = "2025-12-20T17:10:52.796Z" },
+    { url = "https://files.pythonhosted.org/packages/e3/be/f8dd17d0510f9911f9f17ba301f7455328bf13dae416560126d428de9568/scikit_image-0.26.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3409e89d66eff5734cd2b672d1c48d2759360057e714e1d92a11df82c87cba37", size = 12061567, upload-time = "2025-12-20T17:10:55.207Z" },
+    { url = "https://files.pythonhosted.org/packages/b3/2b/c70120a6880579fb42b91567ad79feb4772f7be72e8d52fec403a3dde0c6/scikit_image-0.26.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4c717490cec9e276afb0438dd165b7c3072d6c416709cc0f9f5a4c1070d23a44", size = 13084214, upload-time = "2025-12-20T17:10:57.468Z" },
+    { url = "https://files.pythonhosted.org/packages/f4/a2/70401a107d6d7466d64b466927e6b96fcefa99d57494b972608e2f8be50f/scikit_image-0.26.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7df650e79031634ac90b11e64a9eedaf5a5e06fcd09bcd03a34be01745744466", size = 13561683, upload-time = "2025-12-20T17:10:59.49Z" },
+    { url = "https://files.pythonhosted.org/packages/13/a5/48bdfd92794c5002d664e0910a349d0a1504671ef5ad358150f21643c79a/scikit_image-0.26.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:cefd85033e66d4ea35b525bb0937d7f42d4cdcfed2d1888e1570d5ce450d3932", size = 14112147, upload-time = "2025-12-20T17:11:02.083Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/b5/ac71694da92f5def5953ca99f18a10fe98eac2dd0a34079389b70b4d0394/scikit_image-0.26.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3f5bf622d7c0435884e1e141ebbe4b2804e16b2dd23ae4c6183e2ea99233be70", size = 14661625, upload-time = "2025-12-20T17:11:04.528Z" },
+    { url = "https://files.pythonhosted.org/packages/23/4d/a3cc1e96f080e253dad2251bfae7587cf2b7912bcd76fd43fd366ff35a87/scikit_image-0.26.0-cp312-cp312-win_amd64.whl", hash = "sha256:abed017474593cd3056ae0fe948d07d0747b27a085e92df5474f4955dd65aec0", size = 11911059, upload-time = "2025-12-20T17:11:06.61Z" },
+    { url = "https://files.pythonhosted.org/packages/35/8a/d1b8055f584acc937478abf4550d122936f420352422a1a625eef2c605d8/scikit_image-0.26.0-cp312-cp312-win_arm64.whl", hash = "sha256:4d57e39ef67a95d26860c8caf9b14b8fb130f83b34c6656a77f191fa6d1d04d8", size = 11348740, upload-time = "2025-12-20T17:11:09.118Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/48/02357ffb2cca35640f33f2cfe054a4d6d5d7a229b88880a64f1e45c11f4e/scikit_image-0.26.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:a2e852eccf41d2d322b8e60144e124802873a92b8d43a6f96331aa42888491c7", size = 12346329, upload-time = "2025-12-20T17:11:11.599Z" },
+    { url = "https://files.pythonhosted.org/packages/67/b9/b792c577cea2c1e94cda83b135a656924fc57c428e8a6d302cd69aac1b60/scikit_image-0.26.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:98329aab3bc87db352b9887f64ce8cdb8e75f7c2daa19927f2e121b797b678d5", size = 12031726, upload-time = "2025-12-20T17:11:13.871Z" },
+    { url = "https://files.pythonhosted.org/packages/07/a9/9564250dfd65cb20404a611016db52afc6268b2b371cd19c7538ea47580f/scikit_image-0.26.0-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:915bb3ba66455cf8adac00dc8fdf18a4cd29656aec7ddd38cb4dda90289a6f21", size = 13094910, upload-time = "2025-12-20T17:11:16.2Z" },
+    { url = "https://files.pythonhosted.org/packages/a3/b8/0d8eeb5a9fd7d34ba84f8a55753a0a3e2b5b51b2a5a0ade648a8db4a62f7/scikit_image-0.26.0-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b36ab5e778bf50af5ff386c3ac508027dc3aaeccf2161bdf96bde6848f44d21b", size = 13660939, upload-time = "2025-12-20T17:11:18.464Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/d6/91d8973584d4793d4c1a847d388e34ef1218d835eeddecfc9108d735b467/scikit_image-0.26.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:09bad6a5d5949c7896c8347424c4cca899f1d11668030e5548813ab9c2865dcb", size = 14138938, upload-time = "2025-12-20T17:11:20.919Z" },
+    { url = "https://files.pythonhosted.org/packages/39/9a/7e15d8dc10d6bbf212195fb39bdeb7f226c46dd53f9c63c312e111e2e175/scikit_image-0.26.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:aeb14db1ed09ad4bee4ceb9e635547a8d5f3549be67fc6c768c7f923e027e6cd", size = 14752243, upload-time = "2025-12-20T17:11:23.347Z" },
+    { url = "https://files.pythonhosted.org/packages/8f/58/2b11b933097bc427e42b4a8b15f7de8f24f2bac1fd2779d2aea1431b2c31/scikit_image-0.26.0-cp313-cp313-win_amd64.whl", hash = "sha256:ac529eb9dbd5954f9aaa2e3fe9a3fd9661bfe24e134c688587d811a0233127f1", size = 11906770, upload-time = "2025-12-20T17:11:25.297Z" },
+    { url = "https://files.pythonhosted.org/packages/ad/ec/96941474a18a04b69b6f6562a5bd79bd68049fa3728d3b350976eccb8b93/scikit_image-0.26.0-cp313-cp313-win_arm64.whl", hash = "sha256:a2d211bc355f59725efdcae699b93b30348a19416cc9e017f7b2fb599faf7219", size = 11342506, upload-time = "2025-12-20T17:11:27.399Z" },
+    { url = "https://files.pythonhosted.org/packages/03/e5/c1a9962b0cf1952f42d32b4a2e48eed520320dbc4d2ff0b981c6fa508b6b/scikit_image-0.26.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:9eefb4adad066da408a7601c4c24b07af3b472d90e08c3e7483d4e9e829d8c49", size = 12663278, upload-time = "2025-12-20T17:11:29.358Z" },
+    { url = "https://files.pythonhosted.org/packages/ae/97/c1a276a59ce8e4e24482d65c1a3940d69c6b3873279193b7ebd04e5ee56b/scikit_image-0.26.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:6caec76e16c970c528d15d1c757363334d5cb3069f9cea93d2bead31820511f3", size = 12405142, upload-time = "2025-12-20T17:11:31.282Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/4a/f1cbd1357caef6c7993f7efd514d6e53d8fd6f7fe01c4714d51614c53289/scikit_image-0.26.0-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a07200fe09b9d99fcdab959859fe0f7db8df6333d6204344425d476850ce3604", size = 12942086, upload-time = "2025-12-20T17:11:33.683Z" },
+    { url = "https://files.pythonhosted.org/packages/5b/6f/74d9fb87c5655bd64cf00b0c44dc3d6206d9002e5f6ba1c9aeb13236f6bf/scikit_image-0.26.0-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:92242351bccf391fc5df2d1529d15470019496d2498d615beb68da85fe7fdf37", size = 13265667, upload-time = "2025-12-20T17:11:36.11Z" },
+    { url = "https://files.pythonhosted.org/packages/a7/73/faddc2413ae98d863f6fa2e3e14da4467dd38e788e1c23346cf1a2b06b97/scikit_image-0.26.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:52c496f75a7e45844d951557f13c08c81487c6a1da2e3c9c8a39fcde958e02cc", size = 14001966, upload-time = "2025-12-20T17:11:38.55Z" },
+    { url = "https://files.pythonhosted.org/packages/02/94/9f46966fa042b5d57c8cd641045372b4e0df0047dd400e77ea9952674110/scikit_image-0.26.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:20ef4a155e2e78b8ab973998e04d8a361d49d719e65412405f4dadd9155a61d9", size = 14359526, upload-time = "2025-12-20T17:11:41.087Z" },
+    { url = "https://files.pythonhosted.org/packages/5d/b4/2840fe38f10057f40b1c9f8fb98a187a370936bf144a4ac23452c5ef1baf/scikit_image-0.26.0-cp313-cp313t-win_amd64.whl", hash = "sha256:c9087cf7d0e7f33ab5c46d2068d86d785e70b05400a891f73a13400f1e1faf6a", size = 12287629, upload-time = "2025-12-20T17:11:43.11Z" },
+    { url = "https://files.pythonhosted.org/packages/22/ba/73b6ca70796e71f83ab222690e35a79612f0117e5aaf167151b7d46f5f2c/scikit_image-0.26.0-cp313-cp313t-win_arm64.whl", hash = "sha256:27d58bc8b2acd351f972c6508c1b557cfed80299826080a4d803dd29c51b707e", size = 11647755, upload-time = "2025-12-20T17:11:45.279Z" },
+    { url = "https://files.pythonhosted.org/packages/51/44/6b744f92b37ae2833fd423cce8f806d2368859ec325a699dc30389e090b9/scikit_image-0.26.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:63af3d3a26125f796f01052052f86806da5b5e54c6abef152edb752683075a9c", size = 12365810, upload-time = "2025-12-20T17:11:47.357Z" },
+    { url = "https://files.pythonhosted.org/packages/40/f5/83590d9355191f86ac663420fec741b82cc547a4afe7c4c1d986bf46e4db/scikit_image-0.26.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:ce00600cd70d4562ed59f80523e18cdcc1fae0e10676498a01f73c255774aefd", size = 12075717, upload-time = "2025-12-20T17:11:49.483Z" },
+    { url = "https://files.pythonhosted.org/packages/72/48/253e7cf5aee6190459fe136c614e2cbccc562deceb4af96e0863f1b8ee29/scikit_image-0.26.0-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6381edf972b32e4f54085449afde64365a57316637496c1325a736987083e2ab", size = 13161520, upload-time = "2025-12-20T17:11:51.58Z" },
+    { url = "https://files.pythonhosted.org/packages/73/c3/cec6a3cbaadfdcc02bd6ff02f3abfe09eaa7f4d4e0a525a1e3a3f4bce49c/scikit_image-0.26.0-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c6624a76c6085218248154cc7e1500e6b488edcd9499004dd0d35040607d7505", size = 13684340, upload-time = "2025-12-20T17:11:53.708Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/0d/39a776f675d24164b3a267aa0db9f677a4cb20127660d8bf4fd7fef66817/scikit_image-0.26.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:f775f0e420faac9c2aa6757135f4eb468fb7b70e0b67fa77a5e79be3c30ee331", size = 14203839, upload-time = "2025-12-20T17:11:55.89Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/25/2514df226bbcedfe9b2caafa1ba7bc87231a0c339066981b182b08340e06/scikit_image-0.26.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:ede4d6d255cc5da9faeb2f9ba7fedbc990abbc652db429f40a16b22e770bb578", size = 14770021, upload-time = "2025-12-20T17:11:58.014Z" },
+    { url = "https://files.pythonhosted.org/packages/8d/5b/0671dc91c0c79340c3fe202f0549c7d3681eb7640fe34ab68a5f090a7c7f/scikit_image-0.26.0-cp314-cp314-win_amd64.whl", hash = "sha256:0660b83968c15293fd9135e8d860053ee19500d52bf55ca4fb09de595a1af650", size = 12023490, upload-time = "2025-12-20T17:12:00.013Z" },
+    { url = "https://files.pythonhosted.org/packages/65/08/7c4cb59f91721f3de07719085212a0b3962e3e3f2d1818cbac4eeb1ea53e/scikit_image-0.26.0-cp314-cp314-win_arm64.whl", hash = "sha256:b8d14d3181c21c11170477a42542c1addc7072a90b986675a71266ad17abc37f", size = 11473782, upload-time = "2025-12-20T17:12:01.983Z" },
+    { url = "https://files.pythonhosted.org/packages/49/41/65c4258137acef3d73cb561ac55512eacd7b30bb4f4a11474cad526bc5db/scikit_image-0.26.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:cde0bbd57e6795eba83cb10f71a677f7239271121dc950bc060482834a668ad1", size = 12686060, upload-time = "2025-12-20T17:12:03.886Z" },
+    { url = "https://files.pythonhosted.org/packages/e7/32/76971f8727b87f1420a962406388a50e26667c31756126444baf6668f559/scikit_image-0.26.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:163e9afb5b879562b9aeda0dd45208a35316f26cc7a3aed54fd601604e5cf46f", size = 12422628, upload-time = "2025-12-20T17:12:05.921Z" },
+    { url = "https://files.pythonhosted.org/packages/37/0d/996febd39f757c40ee7b01cdb861867327e5c8e5f595a634e8201462d958/scikit_image-0.26.0-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:724f79fd9b6cb6f4a37864fe09f81f9f5d5b9646b6868109e1b100d1a7019e59", size = 12962369, upload-time = "2025-12-20T17:12:07.912Z" },
+    { url = "https://files.pythonhosted.org/packages/48/b4/612d354f946c9600e7dea012723c11d47e8d455384e530f6daaaeb9bf62c/scikit_image-0.26.0-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3268f13310e6857508bd87202620df996199a016a1d281b309441d227c822394", size = 13272431, upload-time = "2025-12-20T17:12:10.255Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/6e/26c00b466e06055a086de2c6e2145fe189ccdc9a1d11ccc7de020f2591ad/scikit_image-0.26.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:fac96a1f9b06cd771cbbb3cd96c5332f36d4efd839b1d8b053f79e5887acde62", size = 14016362, upload-time = "2025-12-20T17:12:12.793Z" },
+    { url = "https://files.pythonhosted.org/packages/47/88/00a90402e1775634043c2a0af8a3c76ad450866d9fa444efcc43b553ba2d/scikit_image-0.26.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:2c1e7bd342f43e7a97e571b3f03ba4c1293ea1a35c3f13f41efdc8a81c1dc8f2", size = 14364151, upload-time = "2025-12-20T17:12:14.909Z" },
+    { url = "https://files.pythonhosted.org/packages/da/ca/918d8d306bd43beacff3b835c6d96fac0ae64c0857092f068b88db531a7c/scikit_image-0.26.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b702c3bb115e1dcf4abf5297429b5c90f2189655888cbed14921f3d26f81d3a4", size = 12413484, upload-time = "2025-12-20T17:12:17.046Z" },
+    { url = "https://files.pythonhosted.org/packages/dc/cd/4da01329b5a8d47ff7ec3c99a2b02465a8017b186027590dc7425cee0b56/scikit_image-0.26.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0608aa4a9ec39e0843de10d60edb2785a30c1c47819b67866dd223ebd149acaf", size = 11769501, upload-time = "2025-12-20T17:12:19.339Z" },
+]
+
+[[package]]
+name = "scikit-learn"
+version = "1.8.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "joblib" },
+    { name = "numpy" },
+    { name = "scipy" },
+    { name = "threadpoolctl" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/0e/d4/40988bf3b8e34feec1d0e6a051446b1f66225f8529b9309becaeef62b6c4/scikit_learn-1.8.0.tar.gz", hash = "sha256:9bccbb3b40e3de10351f8f5068e105d0f4083b1a65fa07b6634fbc401a6287fd", size = 7335585, upload-time = "2025-12-10T07:08:53.618Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c9/92/53ea2181da8ac6bf27170191028aee7251f8f841f8d3edbfdcaf2008fde9/scikit_learn-1.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:146b4d36f800c013d267b29168813f7a03a43ecd2895d04861f1240b564421da", size = 8595835, upload-time = "2025-12-10T07:07:39.385Z" },
+    { url = "https://files.pythonhosted.org/packages/01/18/d154dc1638803adf987910cdd07097d9c526663a55666a97c124d09fb96a/scikit_learn-1.8.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:f984ca4b14914e6b4094c5d52a32ea16b49832c03bd17a110f004db3c223e8e1", size = 8080381, upload-time = "2025-12-10T07:07:41.93Z" },
+    { url = "https://files.pythonhosted.org/packages/8a/44/226142fcb7b7101e64fdee5f49dbe6288d4c7af8abf593237b70fca080a4/scikit_learn-1.8.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5e30adb87f0cc81c7690a84f7932dd66be5bac57cfe16b91cb9151683a4a2d3b", size = 8799632, upload-time = "2025-12-10T07:07:43.899Z" },
+    { url = "https://files.pythonhosted.org/packages/36/4d/4a67f30778a45d542bbea5db2dbfa1e9e100bf9ba64aefe34215ba9f11f6/scikit_learn-1.8.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ada8121bcb4dac28d930febc791a69f7cb1673c8495e5eee274190b73a4559c1", size = 9103788, upload-time = "2025-12-10T07:07:45.982Z" },
+    { url = "https://files.pythonhosted.org/packages/89/3c/45c352094cfa60050bcbb967b1faf246b22e93cb459f2f907b600f2ceda5/scikit_learn-1.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:c57b1b610bd1f40ba43970e11ce62821c2e6569e4d74023db19c6b26f246cb3b", size = 8081706, upload-time = "2025-12-10T07:07:48.111Z" },
+    { url = "https://files.pythonhosted.org/packages/3d/46/5416595bb395757f754feb20c3d776553a386b661658fb21b7c814e89efe/scikit_learn-1.8.0-cp311-cp311-win_arm64.whl", hash = "sha256:2838551e011a64e3053ad7618dda9310175f7515f1742fa2d756f7c874c05961", size = 7688451, upload-time = "2025-12-10T07:07:49.873Z" },
+    { url = "https://files.pythonhosted.org/packages/90/74/e6a7cc4b820e95cc38cf36cd74d5aa2b42e8ffc2d21fe5a9a9c45c1c7630/scikit_learn-1.8.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:5fb63362b5a7ddab88e52b6dbb47dac3fd7dafeee740dc6c8d8a446ddedade8e", size = 8548242, upload-time = "2025-12-10T07:07:51.568Z" },
+    { url = "https://files.pythonhosted.org/packages/49/d8/9be608c6024d021041c7f0b3928d4749a706f4e2c3832bbede4fb4f58c95/scikit_learn-1.8.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:5025ce924beccb28298246e589c691fe1b8c1c96507e6d27d12c5fadd85bfd76", size = 8079075, upload-time = "2025-12-10T07:07:53.697Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/47/f187b4636ff80cc63f21cd40b7b2d177134acaa10f6bb73746130ee8c2e5/scikit_learn-1.8.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4496bb2cf7a43ce1a2d7524a79e40bc5da45cf598dbf9545b7e8316ccba47bb4", size = 8660492, upload-time = "2025-12-10T07:07:55.574Z" },
+    { url = "https://files.pythonhosted.org/packages/97/74/b7a304feb2b49df9fafa9382d4d09061a96ee9a9449a7cbea7988dda0828/scikit_learn-1.8.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a0bcfe4d0d14aec44921545fd2af2338c7471de9cb701f1da4c9d85906ab847a", size = 8931904, upload-time = "2025-12-10T07:07:57.666Z" },
+    { url = "https://files.pythonhosted.org/packages/9f/c4/0ab22726a04ede56f689476b760f98f8f46607caecff993017ac1b64aa5d/scikit_learn-1.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:35c007dedb2ffe38fe3ee7d201ebac4a2deccd2408e8621d53067733e3c74809", size = 8019359, upload-time = "2025-12-10T07:07:59.838Z" },
+    { url = "https://files.pythonhosted.org/packages/24/90/344a67811cfd561d7335c1b96ca21455e7e472d281c3c279c4d3f2300236/scikit_learn-1.8.0-cp312-cp312-win_arm64.whl", hash = "sha256:8c497fff237d7b4e07e9ef1a640887fa4fb765647f86fbe00f969ff6280ce2bb", size = 7641898, upload-time = "2025-12-10T07:08:01.36Z" },
+    { url = "https://files.pythonhosted.org/packages/03/aa/e22e0768512ce9255eba34775be2e85c2048da73da1193e841707f8f039c/scikit_learn-1.8.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0d6ae97234d5d7079dc0040990a6f7aeb97cb7fa7e8945f1999a429b23569e0a", size = 8513770, upload-time = "2025-12-10T07:08:03.251Z" },
+    { url = "https://files.pythonhosted.org/packages/58/37/31b83b2594105f61a381fc74ca19e8780ee923be2d496fcd8d2e1147bd99/scikit_learn-1.8.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:edec98c5e7c128328124a029bceb09eda2d526997780fef8d65e9a69eead963e", size = 8044458, upload-time = "2025-12-10T07:08:05.336Z" },
+    { url = "https://files.pythonhosted.org/packages/2d/5a/3f1caed8765f33eabb723596666da4ebbf43d11e96550fb18bdec42b467b/scikit_learn-1.8.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:74b66d8689d52ed04c271e1329f0c61635bcaf5b926db9b12d58914cdc01fe57", size = 8610341, upload-time = "2025-12-10T07:08:07.732Z" },
+    { url = "https://files.pythonhosted.org/packages/38/cf/06896db3f71c75902a8e9943b444a56e727418f6b4b4a90c98c934f51ed4/scikit_learn-1.8.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8fdf95767f989b0cfedb85f7ed8ca215d4be728031f56ff5a519ee1e3276dc2e", size = 8900022, upload-time = "2025-12-10T07:08:09.862Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/f9/9b7563caf3ec8873e17a31401858efab6b39a882daf6c1bfa88879c0aa11/scikit_learn-1.8.0-cp313-cp313-win_amd64.whl", hash = "sha256:2de443b9373b3b615aec1bb57f9baa6bb3a9bd093f1269ba95c17d870422b271", size = 7989409, upload-time = "2025-12-10T07:08:12.028Z" },
+    { url = "https://files.pythonhosted.org/packages/49/bd/1f4001503650e72c4f6009ac0c4413cb17d2d601cef6f71c0453da2732fc/scikit_learn-1.8.0-cp313-cp313-win_arm64.whl", hash = "sha256:eddde82a035681427cbedded4e6eff5e57fa59216c2e3e90b10b19ab1d0a65c3", size = 7619760, upload-time = "2025-12-10T07:08:13.688Z" },
+    { url = "https://files.pythonhosted.org/packages/d2/7d/a630359fc9dcc95496588c8d8e3245cc8fd81980251079bc09c70d41d951/scikit_learn-1.8.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:7cc267b6108f0a1499a734167282c00c4ebf61328566b55ef262d48e9849c735", size = 8826045, upload-time = "2025-12-10T07:08:15.215Z" },
+    { url = "https://files.pythonhosted.org/packages/cc/56/a0c86f6930cfcd1c7054a2bc417e26960bb88d32444fe7f71d5c2cfae891/scikit_learn-1.8.0-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:fe1c011a640a9f0791146011dfd3c7d9669785f9fed2b2a5f9e207536cf5c2fd", size = 8420324, upload-time = "2025-12-10T07:08:17.561Z" },
+    { url = "https://files.pythonhosted.org/packages/46/1e/05962ea1cebc1cf3876667ecb14c283ef755bf409993c5946ade3b77e303/scikit_learn-1.8.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:72358cce49465d140cc4e7792015bb1f0296a9742d5622c67e31399b75468b9e", size = 8680651, upload-time = "2025-12-10T07:08:19.952Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/56/a85473cd75f200c9759e3a5f0bcab2d116c92a8a02ee08ccd73b870f8bb4/scikit_learn-1.8.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:80832434a6cc114f5219211eec13dcbc16c2bac0e31ef64c6d346cde3cf054cb", size = 8925045, upload-time = "2025-12-10T07:08:22.11Z" },
+    { url = "https://files.pythonhosted.org/packages/cc/b7/64d8cfa896c64435ae57f4917a548d7ac7a44762ff9802f75a79b77cb633/scikit_learn-1.8.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ee787491dbfe082d9c3013f01f5991658b0f38aa8177e4cd4bf434c58f551702", size = 8507994, upload-time = "2025-12-10T07:08:23.943Z" },
+    { url = "https://files.pythonhosted.org/packages/5e/37/e192ea709551799379958b4c4771ec507347027bb7c942662c7fbeba31cb/scikit_learn-1.8.0-cp313-cp313t-win_arm64.whl", hash = "sha256:bf97c10a3f5a7543f9b88cbf488d33d175e9146115a451ae34568597ba33dcde", size = 7869518, upload-time = "2025-12-10T07:08:25.71Z" },
+    { url = "https://files.pythonhosted.org/packages/24/05/1af2c186174cc92dcab2233f327336058c077d38f6fe2aceb08e6ab4d509/scikit_learn-1.8.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:c22a2da7a198c28dd1a6e1136f19c830beab7fdca5b3e5c8bba8394f8a5c45b3", size = 8528667, upload-time = "2025-12-10T07:08:27.541Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/25/01c0af38fe969473fb292bba9dc2b8f9b451f3112ff242c647fee3d0dfe7/scikit_learn-1.8.0-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:6b595b07a03069a2b1740dc08c2299993850ea81cce4fe19b2421e0c970de6b7", size = 8066524, upload-time = "2025-12-10T07:08:29.822Z" },
+    { url = "https://files.pythonhosted.org/packages/be/ce/a0623350aa0b68647333940ee46fe45086c6060ec604874e38e9ab7d8e6c/scikit_learn-1.8.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:29ffc74089f3d5e87dfca4c2c8450f88bdc61b0fc6ed5d267f3988f19a1309f6", size = 8657133, upload-time = "2025-12-10T07:08:31.865Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/cb/861b41341d6f1245e6ca80b1c1a8c4dfce43255b03df034429089ca2a2c5/scikit_learn-1.8.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fb65db5d7531bccf3a4f6bec3462223bea71384e2cda41da0f10b7c292b9e7c4", size = 8923223, upload-time = "2025-12-10T07:08:34.166Z" },
+    { url = "https://files.pythonhosted.org/packages/76/18/a8def8f91b18cd1ba6e05dbe02540168cb24d47e8dcf69e8d00b7da42a08/scikit_learn-1.8.0-cp314-cp314-win_amd64.whl", hash = "sha256:56079a99c20d230e873ea40753102102734c5953366972a71d5cb39a32bc40c6", size = 8096518, upload-time = "2025-12-10T07:08:36.339Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/77/482076a678458307f0deb44e29891d6022617b2a64c840c725495bee343f/scikit_learn-1.8.0-cp314-cp314-win_arm64.whl", hash = "sha256:3bad7565bc9cf37ce19a7c0d107742b320c1285df7aab1a6e2d28780df167242", size = 7754546, upload-time = "2025-12-10T07:08:38.128Z" },
+    { url = "https://files.pythonhosted.org/packages/2d/d1/ef294ca754826daa043b2a104e59960abfab4cf653891037d19dd5b6f3cf/scikit_learn-1.8.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:4511be56637e46c25721e83d1a9cea9614e7badc7040c4d573d75fbe257d6fd7", size = 8848305, upload-time = "2025-12-10T07:08:41.013Z" },
+    { url = "https://files.pythonhosted.org/packages/5b/e2/b1f8b05138ee813b8e1a4149f2f0d289547e60851fd1bb268886915adbda/scikit_learn-1.8.0-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:a69525355a641bf8ef136a7fa447672fb54fe8d60cab5538d9eb7c6438543fb9", size = 8432257, upload-time = "2025-12-10T07:08:42.873Z" },
+    { url = "https://files.pythonhosted.org/packages/26/11/c32b2138a85dcb0c99f6afd13a70a951bfdff8a6ab42d8160522542fb647/scikit_learn-1.8.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c2656924ec73e5939c76ac4c8b026fc203b83d8900362eb2599d8aee80e4880f", size = 8678673, upload-time = "2025-12-10T07:08:45.362Z" },
+    { url = "https://files.pythonhosted.org/packages/c7/57/51f2384575bdec454f4fe4e7a919d696c9ebce914590abf3e52d47607ab8/scikit_learn-1.8.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:15fc3b5d19cc2be65404786857f2e13c70c83dd4782676dd6814e3b89dc8f5b9", size = 8922467, upload-time = "2025-12-10T07:08:47.408Z" },
+    { url = "https://files.pythonhosted.org/packages/35/4d/748c9e2872637a57981a04adc038dacaa16ba8ca887b23e34953f0b3f742/scikit_learn-1.8.0-cp314-cp314t-win_amd64.whl", hash = "sha256:00d6f1d66fbcf4eba6e356e1420d33cc06c70a45bb1363cd6f6a8e4ebbbdece2", size = 8774395, upload-time = "2025-12-10T07:08:49.337Z" },
+    { url = "https://files.pythonhosted.org/packages/60/22/d7b2ebe4704a5e50790ba089d5c2ae308ab6bb852719e6c3bd4f04c3a363/scikit_learn-1.8.0-cp314-cp314t-win_arm64.whl", hash = "sha256:f28dd15c6bb0b66ba09728cf09fd8736c304be29409bd8445a080c1280619e8c", size = 8002647, upload-time = "2025-12-10T07:08:51.601Z" },
+]
+
+[[package]]
+name = "scipy"
+version = "1.17.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/7a/97/5a3609c4f8d58b039179648e62dd220f89864f56f7357f5d4f45c29eb2cc/scipy-1.17.1.tar.gz", hash = "sha256:95d8e012d8cb8816c226aef832200b1d45109ed4464303e997c5b13122b297c0", size = 30573822, upload-time = "2026-02-23T00:26:24.851Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/df/75/b4ce781849931fef6fd529afa6b63711d5a733065722d0c3e2724af9e40a/scipy-1.17.1-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:1f95b894f13729334fb990162e911c9e5dc1ab390c58aa6cbecb389c5b5e28ec", size = 31613675, upload-time = "2026-02-23T00:16:00.13Z" },
+    { url = "https://files.pythonhosted.org/packages/f7/58/bccc2861b305abdd1b8663d6130c0b3d7cc22e8d86663edbc8401bfd40d4/scipy-1.17.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:e18f12c6b0bc5a592ed23d3f7b891f68fd7f8241d69b7883769eb5d5dfb52696", size = 28162057, upload-time = "2026-02-23T00:16:09.456Z" },
+    { url = "https://files.pythonhosted.org/packages/6d/ee/18146b7757ed4976276b9c9819108adbc73c5aad636e5353e20746b73069/scipy-1.17.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:a3472cfbca0a54177d0faa68f697d8ba4c80bbdc19908c3465556d9f7efce9ee", size = 20334032, upload-time = "2026-02-23T00:16:17.358Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/e6/cef1cf3557f0c54954198554a10016b6a03b2ec9e22a4e1df734936bd99c/scipy-1.17.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:766e0dc5a616d026a3a1cffa379af959671729083882f50307e18175797b3dfd", size = 22709533, upload-time = "2026-02-23T00:16:25.791Z" },
+    { url = "https://files.pythonhosted.org/packages/4d/60/8804678875fc59362b0fb759ab3ecce1f09c10a735680318ac30da8cd76b/scipy-1.17.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:744b2bf3640d907b79f3fd7874efe432d1cf171ee721243e350f55234b4cec4c", size = 33062057, upload-time = "2026-02-23T00:16:36.931Z" },
+    { url = "https://files.pythonhosted.org/packages/09/7d/af933f0f6e0767995b4e2d705a0665e454d1c19402aa7e895de3951ebb04/scipy-1.17.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:43af8d1f3bea642559019edfe64e9b11192a8978efbd1539d7bc2aaa23d92de4", size = 35349300, upload-time = "2026-02-23T00:16:49.108Z" },
+    { url = "https://files.pythonhosted.org/packages/b4/3d/7ccbbdcbb54c8fdc20d3b6930137c782a163fa626f0aef920349873421ba/scipy-1.17.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:cd96a1898c0a47be4520327e01f874acfd61fb48a9420f8aa9f6483412ffa444", size = 35127333, upload-time = "2026-02-23T00:17:01.293Z" },
+    { url = "https://files.pythonhosted.org/packages/e8/19/f926cb11c42b15ba08e3a71e376d816ac08614f769b4f47e06c3580c836a/scipy-1.17.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:4eb6c25dd62ee8d5edf68a8e1c171dd71c292fdae95d8aeb3dd7d7de4c364082", size = 37741314, upload-time = "2026-02-23T00:17:12.576Z" },
+    { url = "https://files.pythonhosted.org/packages/95/da/0d1df507cf574b3f224ccc3d45244c9a1d732c81dcb26b1e8a766ae271a8/scipy-1.17.1-cp311-cp311-win_amd64.whl", hash = "sha256:d30e57c72013c2a4fe441c2fcb8e77b14e152ad48b5464858e07e2ad9fbfceff", size = 36607512, upload-time = "2026-02-23T00:17:23.424Z" },
+    { url = "https://files.pythonhosted.org/packages/68/7f/bdd79ceaad24b671543ffe0ef61ed8e659440eb683b66f033454dcee90eb/scipy-1.17.1-cp311-cp311-win_arm64.whl", hash = "sha256:9ecb4efb1cd6e8c4afea0daa91a87fbddbce1b99d2895d151596716c0b2e859d", size = 24599248, upload-time = "2026-02-23T00:17:34.561Z" },
+    { url = "https://files.pythonhosted.org/packages/35/48/b992b488d6f299dbe3f11a20b24d3dda3d46f1a635ede1c46b5b17a7b163/scipy-1.17.1-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:35c3a56d2ef83efc372eaec584314bd0ef2e2f0d2adb21c55e6ad5b344c0dcb8", size = 31610954, upload-time = "2026-02-23T00:17:49.855Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/02/cf107b01494c19dc100f1d0b7ac3cc08666e96ba2d64db7626066cee895e/scipy-1.17.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:fcb310ddb270a06114bb64bbe53c94926b943f5b7f0842194d585c65eb4edd76", size = 28172662, upload-time = "2026-02-23T00:18:01.64Z" },
+    { url = "https://files.pythonhosted.org/packages/cf/a9/599c28631bad314d219cf9ffd40e985b24d603fc8a2f4ccc5ae8419a535b/scipy-1.17.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:cc90d2e9c7e5c7f1a482c9875007c095c3194b1cfedca3c2f3291cdc2bc7c086", size = 20344366, upload-time = "2026-02-23T00:18:12.015Z" },
+    { url = "https://files.pythonhosted.org/packages/35/f5/906eda513271c8deb5af284e5ef0206d17a96239af79f9fa0aebfe0e36b4/scipy-1.17.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:c80be5ede8f3f8eded4eff73cc99a25c388ce98e555b17d31da05287015ffa5b", size = 22704017, upload-time = "2026-02-23T00:18:21.502Z" },
+    { url = "https://files.pythonhosted.org/packages/da/34/16f10e3042d2f1d6b66e0428308ab52224b6a23049cb2f5c1756f713815f/scipy-1.17.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e19ebea31758fac5893a2ac360fedd00116cbb7628e650842a6691ba7ca28a21", size = 32927842, upload-time = "2026-02-23T00:18:35.367Z" },
+    { url = "https://files.pythonhosted.org/packages/01/8e/1e35281b8ab6d5d72ebe9911edcdffa3f36b04ed9d51dec6dd140396e220/scipy-1.17.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:02ae3b274fde71c5e92ac4d54bc06c42d80e399fec704383dcd99b301df37458", size = 35235890, upload-time = "2026-02-23T00:18:49.188Z" },
+    { url = "https://files.pythonhosted.org/packages/c5/5c/9d7f4c88bea6e0d5a4f1bc0506a53a00e9fcb198de372bfe4d3652cef482/scipy-1.17.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8a604bae87c6195d8b1045eddece0514d041604b14f2727bbc2b3020172045eb", size = 35003557, upload-time = "2026-02-23T00:18:54.74Z" },
+    { url = "https://files.pythonhosted.org/packages/65/94/7698add8f276dbab7a9de9fb6b0e02fc13ee61d51c7c3f85ac28b65e1239/scipy-1.17.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:f590cd684941912d10becc07325a3eeb77886fe981415660d9265c4c418d0bea", size = 37625856, upload-time = "2026-02-23T00:19:00.307Z" },
+    { url = "https://files.pythonhosted.org/packages/a2/84/dc08d77fbf3d87d3ee27f6a0c6dcce1de5829a64f2eae85a0ecc1f0daa73/scipy-1.17.1-cp312-cp312-win_amd64.whl", hash = "sha256:41b71f4a3a4cab9d366cd9065b288efc4d4f3c0b37a91a8e0947fb5bd7f31d87", size = 36549682, upload-time = "2026-02-23T00:19:07.67Z" },
+    { url = "https://files.pythonhosted.org/packages/bc/98/fe9ae9ffb3b54b62559f52dedaebe204b408db8109a8c66fdd04869e6424/scipy-1.17.1-cp312-cp312-win_arm64.whl", hash = "sha256:f4115102802df98b2b0db3cce5cb9b92572633a1197c77b7553e5203f284a5b3", size = 24547340, upload-time = "2026-02-23T00:19:12.024Z" },
+    { url = "https://files.pythonhosted.org/packages/76/27/07ee1b57b65e92645f219b37148a7e7928b82e2b5dbeccecb4dff7c64f0b/scipy-1.17.1-cp313-cp313-macosx_10_14_x86_64.whl", hash = "sha256:5e3c5c011904115f88a39308379c17f91546f77c1667cea98739fe0fccea804c", size = 31590199, upload-time = "2026-02-23T00:19:17.192Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/ae/db19f8ab842e9b724bf5dbb7db29302a91f1e55bc4d04b1025d6d605a2c5/scipy-1.17.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:6fac755ca3d2c3edcb22f479fceaa241704111414831ddd3bc6056e18516892f", size = 28154001, upload-time = "2026-02-23T00:19:22.241Z" },
+    { url = "https://files.pythonhosted.org/packages/5b/58/3ce96251560107b381cbd6e8413c483bbb1228a6b919fa8652b0d4090e7f/scipy-1.17.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:7ff200bf9d24f2e4d5dc6ee8c3ac64d739d3a89e2326ba68aaf6c4a2b838fd7d", size = 20325719, upload-time = "2026-02-23T00:19:26.329Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/83/15087d945e0e4d48ce2377498abf5ad171ae013232ae31d06f336e64c999/scipy-1.17.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:4b400bdc6f79fa02a4d86640310dde87a21fba0c979efff5248908c6f15fad1b", size = 22683595, upload-time = "2026-02-23T00:19:30.304Z" },
+    { url = "https://files.pythonhosted.org/packages/b4/e0/e58fbde4a1a594c8be8114eb4aac1a55bcd6587047efc18a61eb1f5c0d30/scipy-1.17.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2b64ca7d4aee0102a97f3ba22124052b4bd2152522355073580bf4845e2550b6", size = 32896429, upload-time = "2026-02-23T00:19:35.536Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/5f/f17563f28ff03c7b6799c50d01d5d856a1d55f2676f537ca8d28c7f627cd/scipy-1.17.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:581b2264fc0aa555f3f435a5944da7504ea3a065d7029ad60e7c3d1ae09c5464", size = 35203952, upload-time = "2026-02-23T00:19:42.259Z" },
+    { url = "https://files.pythonhosted.org/packages/8d/a5/9afd17de24f657fdfe4df9a3f1ea049b39aef7c06000c13db1530d81ccca/scipy-1.17.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:beeda3d4ae615106d7094f7e7cef6218392e4465cc95d25f900bebabfded0950", size = 34979063, upload-time = "2026-02-23T00:19:47.547Z" },
+    { url = "https://files.pythonhosted.org/packages/8b/13/88b1d2384b424bf7c924f2038c1c409f8d88bb2a8d49d097861dd64a57b2/scipy-1.17.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6609bc224e9568f65064cfa72edc0f24ee6655b47575954ec6339534b2798369", size = 37598449, upload-time = "2026-02-23T00:19:53.238Z" },
+    { url = "https://files.pythonhosted.org/packages/35/e5/d6d0e51fc888f692a35134336866341c08655d92614f492c6860dc45bb2c/scipy-1.17.1-cp313-cp313-win_amd64.whl", hash = "sha256:37425bc9175607b0268f493d79a292c39f9d001a357bebb6b88fdfaff13f6448", size = 36510943, upload-time = "2026-02-23T00:20:50.89Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/fd/3be73c564e2a01e690e19cc618811540ba5354c67c8680dce3281123fb79/scipy-1.17.1-cp313-cp313-win_arm64.whl", hash = "sha256:5cf36e801231b6a2059bf354720274b7558746f3b1a4efb43fcf557ccd484a87", size = 24545621, upload-time = "2026-02-23T00:20:55.871Z" },
+    { url = "https://files.pythonhosted.org/packages/6f/6b/17787db8b8114933a66f9dcc479a8272e4b4da75fe03b0c282f7b0ade8cd/scipy-1.17.1-cp313-cp313t-macosx_10_14_x86_64.whl", hash = "sha256:d59c30000a16d8edc7e64152e30220bfbd724c9bbb08368c054e24c651314f0a", size = 31936708, upload-time = "2026-02-23T00:19:58.694Z" },
+    { url = "https://files.pythonhosted.org/packages/38/2e/524405c2b6392765ab1e2b722a41d5da33dc5c7b7278184a8ad29b6cb206/scipy-1.17.1-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:010f4333c96c9bb1a4516269e33cb5917b08ef2166d5556ca2fd9f082a9e6ea0", size = 28570135, upload-time = "2026-02-23T00:20:03.934Z" },
+    { url = "https://files.pythonhosted.org/packages/fd/c3/5bd7199f4ea8556c0c8e39f04ccb014ac37d1468e6cfa6a95c6b3562b76e/scipy-1.17.1-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:2ceb2d3e01c5f1d83c4189737a42d9cb2fc38a6eeed225e7515eef71ad301dce", size = 20741977, upload-time = "2026-02-23T00:20:07.935Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/b8/8ccd9b766ad14c78386599708eb745f6b44f08400a5fd0ade7cf89b6fc93/scipy-1.17.1-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:844e165636711ef41f80b4103ed234181646b98a53c8f05da12ca5ca289134f6", size = 23029601, upload-time = "2026-02-23T00:20:12.161Z" },
+    { url = "https://files.pythonhosted.org/packages/6d/a0/3cb6f4d2fb3e17428ad2880333cac878909ad1a89f678527b5328b93c1d4/scipy-1.17.1-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:158dd96d2207e21c966063e1635b1063cd7787b627b6f07305315dd73d9c679e", size = 33019667, upload-time = "2026-02-23T00:20:17.208Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/c3/2d834a5ac7bf3a0c806ad1508efc02dda3c8c61472a56132d7894c312dea/scipy-1.17.1-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:74cbb80d93260fe2ffa334efa24cb8f2f0f622a9b9febf8b483c0b865bfb3475", size = 35264159, upload-time = "2026-02-23T00:20:23.087Z" },
+    { url = "https://files.pythonhosted.org/packages/4d/77/d3ed4becfdbd217c52062fafe35a72388d1bd82c2d0ba5ca19d6fcc93e11/scipy-1.17.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:dbc12c9f3d185f5c737d801da555fb74b3dcfa1a50b66a1a93e09190f41fab50", size = 35102771, upload-time = "2026-02-23T00:20:28.636Z" },
+    { url = "https://files.pythonhosted.org/packages/bd/12/d19da97efde68ca1ee5538bb261d5d2c062f0c055575128f11a2730e3ac1/scipy-1.17.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:94055a11dfebe37c656e70317e1996dc197e1a15bbcc351bcdd4610e128fe1ca", size = 37665910, upload-time = "2026-02-23T00:20:34.743Z" },
+    { url = "https://files.pythonhosted.org/packages/06/1c/1172a88d507a4baaf72c5a09bb6c018fe2ae0ab622e5830b703a46cc9e44/scipy-1.17.1-cp313-cp313t-win_amd64.whl", hash = "sha256:e30bdeaa5deed6bc27b4cc490823cd0347d7dae09119b8803ae576ea0ce52e4c", size = 36562980, upload-time = "2026-02-23T00:20:40.575Z" },
+    { url = "https://files.pythonhosted.org/packages/70/b0/eb757336e5a76dfa7911f63252e3b7d1de00935d7705cf772db5b45ec238/scipy-1.17.1-cp313-cp313t-win_arm64.whl", hash = "sha256:a720477885a9d2411f94a93d16f9d89bad0f28ca23c3f8daa521e2dcc3f44d49", size = 24856543, upload-time = "2026-02-23T00:20:45.313Z" },
+    { url = "https://files.pythonhosted.org/packages/cf/83/333afb452af6f0fd70414dc04f898647ee1423979ce02efa75c3b0f2c28e/scipy-1.17.1-cp314-cp314-macosx_10_14_x86_64.whl", hash = "sha256:a48a72c77a310327f6a3a920092fa2b8fd03d7deaa60f093038f22d98e096717", size = 31584510, upload-time = "2026-02-23T00:21:01.015Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/a6/d05a85fd51daeb2e4ea71d102f15b34fedca8e931af02594193ae4fd25f7/scipy-1.17.1-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:45abad819184f07240d8a696117a7aacd39787af9e0b719d00285549ed19a1e9", size = 28170131, upload-time = "2026-02-23T00:21:05.888Z" },
+    { url = "https://files.pythonhosted.org/packages/db/7b/8624a203326675d7746a254083a187398090a179335b2e4a20e2ddc46e83/scipy-1.17.1-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:3fd1fcdab3ea951b610dc4cef356d416d5802991e7e32b5254828d342f7b7e0b", size = 20342032, upload-time = "2026-02-23T00:21:09.904Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/35/2c342897c00775d688d8ff3987aced3426858fd89d5a0e26e020b660b301/scipy-1.17.1-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:7bdf2da170b67fdf10bca777614b1c7d96ae3ca5794fd9587dce41eb2966e866", size = 22678766, upload-time = "2026-02-23T00:21:14.313Z" },
+    { url = "https://files.pythonhosted.org/packages/ef/f2/7cdb8eb308a1a6ae1e19f945913c82c23c0c442a462a46480ce487fdc0ac/scipy-1.17.1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:adb2642e060a6549c343603a3851ba76ef0b74cc8c079a9a58121c7ec9fe2350", size = 32957007, upload-time = "2026-02-23T00:21:19.663Z" },
+    { url = "https://files.pythonhosted.org/packages/0b/2e/7eea398450457ecb54e18e9d10110993fa65561c4f3add5e8eccd2b9cd41/scipy-1.17.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:eee2cfda04c00a857206a4330f0c5e3e56535494e30ca445eb19ec624ae75118", size = 35221333, upload-time = "2026-02-23T00:21:25.278Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/77/5b8509d03b77f093a0d52e606d3c4f79e8b06d1d38c441dacb1e26cacf46/scipy-1.17.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:d2650c1fb97e184d12d8ba010493ee7b322864f7d3d00d3f9bb97d9c21de4068", size = 35042066, upload-time = "2026-02-23T00:21:31.358Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/df/18f80fb99df40b4070328d5ae5c596f2f00fffb50167e31439e932f29e7d/scipy-1.17.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:08b900519463543aa604a06bec02461558a6e1cef8fdbb8098f77a48a83c8118", size = 37612763, upload-time = "2026-02-23T00:21:37.247Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/39/f0e8ea762a764a9dc52aa7dabcfad51a354819de1f0d4652b6a1122424d6/scipy-1.17.1-cp314-cp314-win_amd64.whl", hash = "sha256:3877ac408e14da24a6196de0ddcace62092bfc12a83823e92e49e40747e52c19", size = 37290984, upload-time = "2026-02-23T00:22:35.023Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/56/fe201e3b0f93d1a8bcf75d3379affd228a63d7e2d80ab45467a74b494947/scipy-1.17.1-cp314-cp314-win_arm64.whl", hash = "sha256:f8885db0bc2bffa59d5c1b72fad7a6a92d3e80e7257f967dd81abb553a90d293", size = 25192877, upload-time = "2026-02-23T00:22:39.798Z" },
+    { url = "https://files.pythonhosted.org/packages/96/ad/f8c414e121f82e02d76f310f16db9899c4fcde36710329502a6b2a3c0392/scipy-1.17.1-cp314-cp314t-macosx_10_14_x86_64.whl", hash = "sha256:1cc682cea2ae55524432f3cdff9e9a3be743d52a7443d0cba9017c23c87ae2f6", size = 31949750, upload-time = "2026-02-23T00:21:42.289Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/b0/c741e8865d61b67c81e255f4f0a832846c064e426636cd7de84e74d209be/scipy-1.17.1-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:2040ad4d1795a0ae89bfc7e8429677f365d45aa9fd5e4587cf1ea737f927b4a1", size = 28585858, upload-time = "2026-02-23T00:21:47.706Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/1b/3985219c6177866628fa7c2595bfd23f193ceebbe472c98a08824b9466ff/scipy-1.17.1-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:131f5aaea57602008f9822e2115029b55d4b5f7c070287699fe45c661d051e39", size = 20757723, upload-time = "2026-02-23T00:21:52.039Z" },
+    { url = "https://files.pythonhosted.org/packages/c0/19/2a04aa25050d656d6f7b9e7b685cc83d6957fb101665bfd9369ca6534563/scipy-1.17.1-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:9cdc1a2fcfd5c52cfb3045feb399f7b3ce822abdde3a193a6b9a60b3cb5854ca", size = 23043098, upload-time = "2026-02-23T00:21:56.185Z" },
+    { url = "https://files.pythonhosted.org/packages/86/f1/3383beb9b5d0dbddd030335bf8a8b32d4317185efe495374f134d8be6cce/scipy-1.17.1-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6e3dcd57ab780c741fde8dc68619de988b966db759a3c3152e8e9142c26295ad", size = 33030397, upload-time = "2026-02-23T00:22:01.404Z" },
+    { url = "https://files.pythonhosted.org/packages/41/68/8f21e8a65a5a03f25a79165ec9d2b28c00e66dc80546cf5eb803aeeff35b/scipy-1.17.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a9956e4d4f4a301ebf6cde39850333a6b6110799d470dbbb1e25326ac447f52a", size = 35281163, upload-time = "2026-02-23T00:22:07.024Z" },
+    { url = "https://files.pythonhosted.org/packages/84/8d/c8a5e19479554007a5632ed7529e665c315ae7492b4f946b0deb39870e39/scipy-1.17.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:a4328d245944d09fd639771de275701ccadf5f781ba0ff092ad141e017eccda4", size = 35116291, upload-time = "2026-02-23T00:22:12.585Z" },
+    { url = "https://files.pythonhosted.org/packages/52/52/e57eceff0e342a1f50e274264ed47497b59e6a4e3118808ee58ddda7b74a/scipy-1.17.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:a77cbd07b940d326d39a1d1b37817e2ee4d79cb30e7338f3d0cddffae70fcaa2", size = 37682317, upload-time = "2026-02-23T00:22:18.513Z" },
+    { url = "https://files.pythonhosted.org/packages/11/2f/b29eafe4a3fbc3d6de9662b36e028d5f039e72d345e05c250e121a230dd4/scipy-1.17.1-cp314-cp314t-win_amd64.whl", hash = "sha256:eb092099205ef62cd1782b006658db09e2fed75bffcae7cc0d44052d8aa0f484", size = 37345327, upload-time = "2026-02-23T00:22:24.442Z" },
+    { url = "https://files.pythonhosted.org/packages/07/39/338d9219c4e87f3e708f18857ecd24d22a0c3094752393319553096b98af/scipy-1.17.1-cp314-cp314t-win_arm64.whl", hash = "sha256:200e1050faffacc162be6a486a984a0497866ec54149a01270adc8a59b7c7d21", size = 25489165, upload-time = "2026-02-23T00:22:29.563Z" },
+]
+
+[[package]]
+name = "seaborn"
+version = "0.13.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "matplotlib" },
+    { name = "numpy" },
+    { name = "pandas" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/86/59/a451d7420a77ab0b98f7affa3a1d78a313d2f7281a57afb1a34bae8ab412/seaborn-0.13.2.tar.gz", hash = "sha256:93e60a40988f4d65e9f4885df477e2fdaff6b73a9ded434c1ab356dd57eefff7", size = 1457696, upload-time = "2024-01-25T13:21:52.551Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/83/11/00d3c3dfc25ad54e731d91449895a79e4bf2384dc3ac01809010ba88f6d5/seaborn-0.13.2-py3-none-any.whl", hash = "sha256:636f8336facf092165e27924f223d3c62ca560b1f2bb5dff7ab7fad265361987", size = 294914, upload-time = "2024-01-25T13:21:49.598Z" },
+]
+
+[[package]]
+name = "send2trash"
+version = "2.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/c5/f0/184b4b5f8d00f2a92cf96eec8967a3d550b52cf94362dad1100df9e48d57/send2trash-2.1.0.tar.gz", hash = "sha256:1c72b39f09457db3c05ce1d19158c2cbef4c32b8bedd02c155e49282b7ea7459", size = 17255, upload-time = "2026-01-14T06:27:36.056Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1c/78/504fdd027da3b84ff1aecd9f6957e65f35134534ccc6da8628eb71e76d3f/send2trash-2.1.0-py3-none-any.whl", hash = "sha256:0da2f112e6d6bb22de6aa6daa7e144831a4febf2a87261451c4ad849fe9a873c", size = 17610, upload-time = "2026-01-14T06:27:35.218Z" },
+]
+
+[[package]]
+name = "setuptools"
+version = "82.0.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/4f/db/cfac1baf10650ab4d1c111714410d2fbb77ac5a616db26775db562c8fab2/setuptools-82.0.1.tar.gz", hash = "sha256:7d872682c5d01cfde07da7bccc7b65469d3dca203318515ada1de5eda35efbf9", size = 1152316, upload-time = "2026-03-09T12:47:17.221Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/9d/76/f789f7a86709c6b087c5a2f52f911838cad707cc613162401badc665acfe/setuptools-82.0.1-py3-none-any.whl", hash = "sha256:a59e362652f08dcd477c78bb6e7bd9d80a7995bc73ce773050228a348ce2e5bb", size = 1006223, upload-time = "2026-03-09T12:47:15.026Z" },
+]
+
+[[package]]
+name = "shiny"
+version = "1.6.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "asgiref" },
+    { name = "click", marker = "sys_platform != 'emscripten'" },
+    { name = "htmltools" },
+    { name = "linkify-it-py" },
+    { name = "markdown-it-py" },
+    { name = "mdit-py-plugins" },
+    { name = "narwhals" },
+    { name = "opentelemetry-api" },
+    { name = "orjson" },
+    { name = "packaging" },
+    { name = "platformdirs" },
+    { name = "prompt-toolkit", marker = "sys_platform != 'emscripten'" },
+    { name = "python-multipart", marker = "sys_platform != 'emscripten'" },
+    { name = "questionary", marker = "sys_platform != 'emscripten'" },
+    { name = "setuptools", marker = "python_full_version >= '3.12'" },
+    { name = "shinychat" },
+    { name = "starlette" },
+    { name = "typing-extensions" },
+    { name = "uvicorn", marker = "sys_platform != 'emscripten'" },
+    { name = "watchfiles", marker = "sys_platform != 'emscripten'" },
+    { name = "websockets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ee/f2/d75ad19f6fa0cb244ff04990c61aa28d88300c69d6220dec3ffb8f3e29eb/shiny-1.6.0.tar.gz", hash = "sha256:54bec20a9cfde0dd3a36a9873863be7dbb4729a33fe7abc9ad9488df6efd6f58", size = 5079489, upload-time = "2026-03-20T20:42:58.2Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ba/30/d442d84e873786cd31b4bdf69b5981119953ebcbdeaf1988c98bf5a9703b/shiny-1.6.0-py3-none-any.whl", hash = "sha256:8e8ae840f565ecf4fb856a843fdc2d73c39e8ffe78141ccc29d802ecfce3657b", size = 3908742, upload-time = "2026-03-20T20:42:56.535Z" },
+]
+
+[[package]]
+name = "shinychat"
+version = "0.2.9"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "htmltools" },
+    { name = "shiny" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/47/34/4aae4d21ae2603b40a99ce12d34848f271c076cbb112aac528242093751d/shinychat-0.2.9.tar.gz", hash = "sha256:59d48522dc0d04d0a89bbf33d3e1a9b5b21378405563d0692f1abff151f2d1aa", size = 547957, upload-time = "2026-02-09T15:58:09.117Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/8d/27/f1115e431e7156b268c5792b15a3abbe12ed5b45dd9f96f041da93ae9335/shinychat-0.2.9-py3-none-any.whl", hash = "sha256:20e2101b22dfa2eeb5318e95b622e62ddcf5f2dd8cebe870c36673dd8eb4d901", size = 561839, upload-time = "2026-02-09T15:58:07.279Z" },
+]
+
+[[package]]
+name = "six"
+version = "1.17.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/94/e7/b2c673351809dca68a0e064b6af791aa332cf192da575fd474ed7d6f16a2/six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81", size = 34031, upload-time = "2024-12-04T17:35:28.174Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274", size = 11050, upload-time = "2024-12-04T17:35:26.475Z" },
+]
+
+[[package]]
+name = "snirf"
+version = "0.8.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "colorama" },
+    { name = "h5py" },
+    { name = "numpy" },
+    { name = "pip" },
+    { name = "setuptools" },
+    { name = "termcolor" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/94/18/3ce90a74443e9d598473f28a18fbbbffa6b7cb30ea6eb58b56dc5530dcc0/snirf-0.8.0.tar.gz", hash = "sha256:e78f207608b986ab2df773bba3475895a792ee699451423ca5f0cfad50a17b8a", size = 57904, upload-time = "2024-05-28T17:25:43.425Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f4/8c/10fe07c52104f2be8efec7dac377248a9f5be3096d50b1418f115242cbd0/snirf-0.8.0-py3-none-any.whl", hash = "sha256:85eed4f9e7bb1d98f3afb4751607da20dd216bdcb159090a212abc9815b12cbe", size = 55164, upload-time = "2024-05-28T17:25:41.496Z" },
+]
+
+[[package]]
+name = "soupsieve"
+version = "2.8.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/7b/ae/2d9c981590ed9999a0d91755b47fc74f74de286b0f5cee14c9269041e6c4/soupsieve-2.8.3.tar.gz", hash = "sha256:3267f1eeea4251fb42728b6dfb746edc9acaffc4a45b27e19450b676586e8349", size = 118627, upload-time = "2026-01-20T04:27:02.457Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/46/2c/1462b1d0a634697ae9e55b3cecdcb64788e8b7d63f54d923fcd0bb140aed/soupsieve-2.8.3-py3-none-any.whl", hash = "sha256:ed64f2ba4eebeab06cc4962affce381647455978ffc1e36bb79a545b91f45a95", size = 37016, upload-time = "2026-01-20T04:27:01.012Z" },
+]
+
+[[package]]
+name = "stack-data"
+version = "0.6.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "asttokens" },
+    { name = "executing" },
+    { name = "pure-eval" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/28/e3/55dcc2cfbc3ca9c29519eb6884dd1415ecb53b0e934862d3559ddcb7e20b/stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9", size = 44707, upload-time = "2023-09-30T13:58:05.479Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f1/7b/ce1eafaf1a76852e2ec9b22edecf1daa58175c090266e9f6c64afcd81d91/stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695", size = 24521, upload-time = "2023-09-30T13:58:03.53Z" },
+]
+
+[[package]]
+name = "starlette"
+version = "1.0.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "anyio" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/81/69/17425771797c36cded50b7fe44e850315d039f28b15901ab44839e70b593/starlette-1.0.0.tar.gz", hash = "sha256:6a4beaf1f81bb472fd19ea9b918b50dc3a77a6f2e190a12954b25e6ed5eea149", size = 2655289, upload-time = "2026-03-22T18:29:46.779Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0b/c9/584bc9651441b4ba60cc4d557d8a547b5aff901af35bda3a4ee30c819b82/starlette-1.0.0-py3-none-any.whl", hash = "sha256:d3ec55e0bb321692d275455ddfd3df75fff145d009685eb40dc91fc66b03d38b", size = 72651, upload-time = "2026-03-22T18:29:45.111Z" },
+]
+
+[[package]]
+name = "statsmodels"
+version = "0.14.6"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+    { name = "packaging" },
+    { name = "pandas" },
+    { name = "patsy" },
+    { name = "scipy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/0d/81/e8d74b34f85285f7335d30c5e3c2d7c0346997af9f3debf9a0a9a63de184/statsmodels-0.14.6.tar.gz", hash = "sha256:4d17873d3e607d398b85126cd4ed7aad89e4e9d89fc744cdab1af3189a996c2a", size = 20689085, upload-time = "2025-12-05T23:08:39.522Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a9/4d/df4dd089b406accfc3bb5ee53ba29bb3bdf5ae61643f86f8f604baa57656/statsmodels-0.14.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6ad5c2810fc6c684254a7792bf1cbaf1606cdee2a253f8bd259c43135d87cfb4", size = 10121514, upload-time = "2025-12-05T19:28:16.521Z" },
+    { url = "https://files.pythonhosted.org/packages/82/af/ec48daa7f861f993b91a0dcc791d66e1cf56510a235c5cbd2ab991a31d5c/statsmodels-0.14.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:341fa68a7403e10a95c7b6e41134b0da3a7b835ecff1eb266294408535a06eb6", size = 10003346, upload-time = "2025-12-05T19:28:29.568Z" },
+    { url = "https://files.pythonhosted.org/packages/a9/2c/c8f7aa24cd729970728f3f98822fb45149adc216f445a9301e441f7ac760/statsmodels-0.14.6-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdf1dfe2a3ca56f5529118baf33a13efed2783c528f4a36409b46bbd2d9d48eb", size = 10129872, upload-time = "2025-12-05T23:09:25.724Z" },
+    { url = "https://files.pythonhosted.org/packages/40/c6/9ae8e9b0721e9b6eb5f340c3a0ce8cd7cce4f66e03dd81f80d60f111987f/statsmodels-0.14.6-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a3764ba8195c9baf0925a96da0743ff218067a269f01d155ca3558deed2658ca", size = 10381964, upload-time = "2025-12-05T23:09:41.326Z" },
+    { url = "https://files.pythonhosted.org/packages/28/8c/cf3d30c8c2da78e2ad1f50ade8b7fabec3ff4cdfc56fbc02e097c4577f90/statsmodels-0.14.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9e8d2e519852adb1b420e018f5ac6e6684b2b877478adf7fda2cfdb58f5acb5d", size = 10409611, upload-time = "2025-12-05T23:09:57.131Z" },
+    { url = "https://files.pythonhosted.org/packages/bf/cc/018f14ecb58c6cb89de9d52695740b7d1f5a982aa9ea312483ea3c3d5f77/statsmodels-0.14.6-cp311-cp311-win_amd64.whl", hash = "sha256:2738a00fca51196f5a7d44b06970ace6b8b30289839e4808d656f8a98e35faa7", size = 9580385, upload-time = "2025-12-05T19:28:42.778Z" },
+    { url = "https://files.pythonhosted.org/packages/25/ce/308e5e5da57515dd7cab3ec37ea2d5b8ff50bef1fcc8e6d31456f9fae08e/statsmodels-0.14.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:fe76140ae7adc5ff0e60a3f0d56f4fffef484efa803c3efebf2fcd734d72ecb5", size = 10091932, upload-time = "2025-12-05T19:28:55.446Z" },
+    { url = "https://files.pythonhosted.org/packages/05/30/affbabf3c27fb501ec7b5808230c619d4d1a4525c07301074eb4bda92fa9/statsmodels-0.14.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:26d4f0ed3b31f3c86f83a92f5c1f5cbe63fc992cd8915daf28ca49be14463a1c", size = 9997345, upload-time = "2025-12-05T19:29:10.278Z" },
+    { url = "https://files.pythonhosted.org/packages/48/f5/3a73b51e6450c31652c53a8e12e24eac64e3824be816c0c2316e7dbdcb7d/statsmodels-0.14.6-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d8c00a42863e4f4733ac9d078bbfad816249c01451740e6f5053ecc7db6d6368", size = 10058649, upload-time = "2025-12-05T23:10:12.775Z" },
+    { url = "https://files.pythonhosted.org/packages/81/68/dddd76117df2ef14c943c6bbb6618be5c9401280046f4ddfc9fb4596a1b8/statsmodels-0.14.6-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:19b58cf7474aa9e7e3b0771a66537148b2df9b5884fbf156096c0e6c1ff0469d", size = 10339446, upload-time = "2025-12-05T23:10:28.503Z" },
+    { url = "https://files.pythonhosted.org/packages/56/4a/dce451c74c4050535fac1ec0c14b80706d8fc134c9da22db3c8a0ec62c33/statsmodels-0.14.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:81e7dcc5e9587f2567e52deaff5220b175bf2f648951549eae5fc9383b62bc37", size = 10368705, upload-time = "2025-12-05T23:10:44.339Z" },
+    { url = "https://files.pythonhosted.org/packages/60/15/3daba2df40be8b8a9a027d7f54c8dedf24f0d81b96e54b52293f5f7e3418/statsmodels-0.14.6-cp312-cp312-win_amd64.whl", hash = "sha256:b5eb07acd115aa6208b4058211138393a7e6c2cf12b6f213ede10f658f6a714f", size = 9543991, upload-time = "2025-12-05T23:10:58.536Z" },
+    { url = "https://files.pythonhosted.org/packages/81/59/a5aad5b0cc266f5be013db8cde563ac5d2a025e7efc0c328d83b50c72992/statsmodels-0.14.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:47ee7af083623d2091954fa71c7549b8443168f41b7c5dce66510274c50fd73e", size = 10072009, upload-time = "2025-12-05T23:11:14.021Z" },
+    { url = "https://files.pythonhosted.org/packages/53/dd/d8cfa7922fc6dc3c56fa6c59b348ea7de829a94cd73208c6f8202dd33f17/statsmodels-0.14.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:aa60d82e29fcd0a736e86feb63a11d2380322d77a9369a54be8b0965a3985f71", size = 9980018, upload-time = "2025-12-05T23:11:30.907Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/77/0ec96803eba444efd75dba32f2ef88765ae3e8f567d276805391ec2c98c6/statsmodels-0.14.6-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:89ee7d595f5939cc20bf946faedcb5137d975f03ae080f300ebb4398f16a5bd4", size = 10060269, upload-time = "2025-12-05T23:11:46.338Z" },
+    { url = "https://files.pythonhosted.org/packages/10/b9/fd41f1f6af13a1a1212a06bb377b17762feaa6d656947bf666f76300fc05/statsmodels-0.14.6-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:730f3297b26749b216a06e4327fe0be59b8d05f7d594fb6caff4287b69654589", size = 10324155, upload-time = "2025-12-05T23:12:01.805Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/0f/a6900e220abd2c69cd0a07e3ad26c71984be6061415a60e0f17b152ecf08/statsmodels-0.14.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f1c08befa85e93acc992b72a390ddb7bd876190f1360e61d10cf43833463bc9c", size = 10349765, upload-time = "2025-12-05T23:12:18.018Z" },
+    { url = "https://files.pythonhosted.org/packages/98/08/b79f0c614f38e566eebbdcff90c0bcacf3c6ba7a5bbb12183c09c29ca400/statsmodels-0.14.6-cp313-cp313-win_amd64.whl", hash = "sha256:8021271a79f35b842c02a1794465a651a9d06ec2080f76ebc3b7adce77d08233", size = 9540043, upload-time = "2025-12-05T23:12:33.887Z" },
+    { url = "https://files.pythonhosted.org/packages/71/de/09540e870318e0c7b58316561d417be45eff731263b4234fdd2eee3511a8/statsmodels-0.14.6-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:00781869991f8f02ad3610da6627fd26ebe262210287beb59761982a8fa88cae", size = 10069403, upload-time = "2025-12-05T23:12:48.424Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/f0/63c1bfda75dc53cee858006e1f46bd6d6f883853bea1b97949d0087766ca/statsmodels-0.14.6-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:73f305fbf31607b35ce919fae636ab8b80d175328ed38fdc6f354e813b86ee37", size = 9989253, upload-time = "2025-12-05T23:13:05.274Z" },
+    { url = "https://files.pythonhosted.org/packages/c1/98/b0dfb4f542b2033a3341aa5f1bdd97024230a4ad3670c5b0839d54e3dcab/statsmodels-0.14.6-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e443e7077a6e2d3faeea72f5a92c9f12c63722686eb80bb40a0f04e4a7e267ad", size = 10090802, upload-time = "2025-12-05T23:13:20.653Z" },
+    { url = "https://files.pythonhosted.org/packages/34/0e/2408735aca9e764643196212f9069912100151414dd617d39ffc72d77eee/statsmodels-0.14.6-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3414e40c073d725007a6603a18247ab7af3467e1af4a5e5a24e4c27bc26673b4", size = 10337587, upload-time = "2025-12-05T23:13:37.597Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/36/4d44f7035ab3c0b2b6a4c4ebb98dedf36246ccbc1b3e2f51ebcd7ac83abb/statsmodels-0.14.6-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:a518d3f9889ef920116f9fa56d0338069e110f823926356946dae83bc9e33e19", size = 10363350, upload-time = "2025-12-05T23:13:53.08Z" },
+    { url = "https://files.pythonhosted.org/packages/26/33/f1652d0c59fa51de18492ee2345b65372550501ad061daa38f950be390b6/statsmodels-0.14.6-cp314-cp314-win_amd64.whl", hash = "sha256:151b73e29f01fe619dbce7f66d61a356e9d1fe5e906529b78807df9189c37721", size = 9588010, upload-time = "2025-12-05T23:14:07.28Z" },
+]
+
+[[package]]
+name = "sympy"
+version = "1.14.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "mpmath" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/83/d3/803453b36afefb7c2bb238361cd4ae6125a569b4db67cd9e79846ba2d68c/sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517", size = 7793921, upload-time = "2025-04-27T18:05:01.611Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a2/09/77d55d46fd61b4a135c444fc97158ef34a095e5681d0a6c10b75bf356191/sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5", size = 6299353, upload-time = "2025-04-27T18:04:59.103Z" },
+]
+
+[[package]]
+name = "tabulate"
+version = "0.10.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/46/58/8c37dea7bbf769b20d58e7ace7e5edfe65b849442b00ffcdd56be88697c6/tabulate-0.10.0.tar.gz", hash = "sha256:e2cfde8f79420f6deeffdeda9aaec3b6bc5abce947655d17ac662b126e48a60d", size = 91754, upload-time = "2026-03-04T18:55:34.402Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/99/55/db07de81b5c630da5cbf5c7df646580ca26dfaefa593667fc6f2fe016d2e/tabulate-0.10.0-py3-none-any.whl", hash = "sha256:f0b0622e567335c8fabaaa659f1b33bcb6ddfe2e496071b743aa113f8774f2d3", size = 39814, upload-time = "2026-03-04T18:55:31.284Z" },
+]
+
+[[package]]
+name = "termcolor"
+version = "3.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/46/79/cf31d7a93a8fdc6aa0fbb665be84426a8c5a557d9240b6239e9e11e35fc5/termcolor-3.3.0.tar.gz", hash = "sha256:348871ca648ec6a9a983a13ab626c0acce02f515b9e1983332b17af7979521c5", size = 14434, upload-time = "2025-12-29T12:55:21.882Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/33/d1/8bb87d21e9aeb323cc03034f5eaf2c8f69841e40e4853c2627edf8111ed3/termcolor-3.3.0-py3-none-any.whl", hash = "sha256:cf642efadaf0a8ebbbf4bc7a31cec2f9b5f21a9f726f4ccbb08192c9c26f43a5", size = 7734, upload-time = "2025-12-29T12:55:20.718Z" },
+]
+
+[[package]]
+name = "terminado"
+version = "0.18.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "ptyprocess", marker = "os_name != 'nt'" },
+    { name = "pywinpty", marker = "os_name == 'nt'" },
+    { name = "tornado" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/8a/11/965c6fd8e5cc254f1fe142d547387da17a8ebfd75a3455f637c663fb38a0/terminado-0.18.1.tar.gz", hash = "sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e", size = 32701, upload-time = "2024-03-12T14:34:39.026Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/6a/9e/2064975477fdc887e47ad42157e214526dcad8f317a948dee17e1659a62f/terminado-0.18.1-py3-none-any.whl", hash = "sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0", size = 14154, upload-time = "2024-03-12T14:34:36.569Z" },
+]
+
+[[package]]
+name = "threadpoolctl"
+version = "3.6.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/b7/4d/08c89e34946fce2aec4fbb45c9016efd5f4d7f24af8e5d93296e935631d8/threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e", size = 21274, upload-time = "2025-03-13T13:49:23.031Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/32/d5/f9a850d79b0851d1d4ef6456097579a9005b31fea68726a4ae5f2d82ddd9/threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb", size = 18638, upload-time = "2025-03-13T13:49:21.846Z" },
+]
+
+[[package]]
+name = "tifffile"
+version = "2026.3.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/c5/cb/2f6d79c7576e22c116352a801f4c3c8ace5957e9aced862012430b62e14f/tifffile-2026.3.3.tar.gz", hash = "sha256:d9a1266bed6f2ee1dd0abde2018a38b4f8b2935cb843df381d70ac4eac5458b7", size = 388745, upload-time = "2026-03-03T19:14:38.134Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1a/e4/e804505f87627cd8cdae9c010c47c4485fd8c1ce31a7dd0ab7fcc4707377/tifffile-2026.3.3-py3-none-any.whl", hash = "sha256:e8be15c94273113d31ecb7aa3a39822189dd11c4967e3cc88c178f1ad2fd1170", size = 243960, upload-time = "2026-03-03T19:14:35.808Z" },
+]
+
+[[package]]
+name = "tinycss2"
+version = "1.4.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "webencodings" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/7a/fd/7a5ee21fd08ff70d3d33a5781c255cbe779659bd03278feb98b19ee550f4/tinycss2-1.4.0.tar.gz", hash = "sha256:10c0972f6fc0fbee87c3edb76549357415e94548c1ae10ebccdea16fb404a9b7", size = 87085, upload-time = "2024-10-24T14:58:29.895Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e6/34/ebdc18bae6aa14fbee1a08b63c015c72b64868ff7dae68808ab500c492e2/tinycss2-1.4.0-py3-none-any.whl", hash = "sha256:3a49cf47b7675da0b15d0c6e1df8df4ebd96e9394bb905a5775adb0d884c5289", size = 26610, upload-time = "2024-10-24T14:58:28.029Z" },
+]
+
+[[package]]
+name = "tomlkit"
+version = "0.14.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/c3/af/14b24e41977adb296d6bd1fb59402cf7d60ce364f90c890bd2ec65c43b5a/tomlkit-0.14.0.tar.gz", hash = "sha256:cf00efca415dbd57575befb1f6634c4f42d2d87dbba376128adb42c121b87064", size = 187167, upload-time = "2026-01-13T01:14:53.304Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b5/11/87d6d29fb5d237229d67973a6c9e06e048f01cf4994dee194ab0ea841814/tomlkit-0.14.0-py3-none-any.whl", hash = "sha256:592064ed85b40fa213469f81ac584f67a4f2992509a7c3ea2d632208623a3680", size = 39310, upload-time = "2026-01-13T01:14:51.965Z" },
+]
+
+[[package]]
+name = "torch"
+version = "2.10.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cuda-bindings", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "filelock" },
+    { name = "fsspec" },
+    { name = "jinja2" },
+    { name = "networkx" },
+    { name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cufile-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cusparselt-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-nvjitlink-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-nvshmem-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "setuptools", marker = "python_full_version >= '3.12'" },
+    { name = "sympy" },
+    { name = "triton", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "typing-extensions" },
+]
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0f/8b/4b61d6e13f7108f36910df9ab4b58fd389cc2520d54d81b88660804aad99/torch-2.10.0-2-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:418997cb02d0a0f1497cf6a09f63166f9f5df9f3e16c8a716ab76a72127c714f", size = 79423467, upload-time = "2026-02-10T21:44:48.711Z" },
+    { url = "https://files.pythonhosted.org/packages/d3/54/a2ba279afcca44bbd320d4e73675b282fcee3d81400ea1b53934efca6462/torch-2.10.0-2-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:13ec4add8c3faaed8d13e0574f5cd4a323c11655546f91fbe6afa77b57423574", size = 79498202, upload-time = "2026-02-10T21:44:52.603Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/23/2c9fe0c9c27f7f6cb865abcea8a4568f29f00acaeadfc6a37f6801f84cb4/torch-2.10.0-2-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:e521c9f030a3774ed770a9c011751fb47c4d12029a3d6522116e48431f2ff89e", size = 79498254, upload-time = "2026-02-10T21:44:44.095Z" },
+    { url = "https://files.pythonhosted.org/packages/36/ab/7b562f1808d3f65414cd80a4f7d4bb00979d9355616c034c171249e1a303/torch-2.10.0-3-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:ac5bdcbb074384c66fa160c15b1ead77839e3fe7ed117d667249afce0acabfac", size = 915518691, upload-time = "2026-03-11T14:15:43.147Z" },
+    { url = "https://files.pythonhosted.org/packages/b3/7a/abada41517ce0011775f0f4eacc79659bc9bc6c361e6bfe6f7052a6b9363/torch-2.10.0-3-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:98c01b8bb5e3240426dcde1446eed6f40c778091c8544767ef1168fc663a05a6", size = 915622781, upload-time = "2026-03-11T14:17:11.354Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/c6/4dfe238342ffdcec5aef1c96c457548762d33c40b45a1ab7033bb26d2ff2/torch-2.10.0-3-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:80b1b5bfe38eb0e9f5ff09f206dcac0a87aadd084230d4a36eea5ec5232c115b", size = 915627275, upload-time = "2026-03-11T14:16:11.325Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/f0/72bf18847f58f877a6a8acf60614b14935e2f156d942483af1ffc081aea0/torch-2.10.0-3-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:46b3574d93a2a8134b3f5475cfb98e2eb46771794c57015f6ad1fb795ec25e49", size = 915523474, upload-time = "2026-03-11T14:17:44.422Z" },
+    { url = "https://files.pythonhosted.org/packages/f4/39/590742415c3030551944edc2ddc273ea1fdfe8ffb2780992e824f1ebee98/torch-2.10.0-3-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:b1d5e2aba4eb7f8e87fbe04f86442887f9167a35f092afe4c237dfcaaef6e328", size = 915632474, upload-time = "2026-03-11T14:15:13.666Z" },
+    { url = "https://files.pythonhosted.org/packages/b6/8e/34949484f764dde5b222b7fe3fede43e4a6f0da9d7f8c370bb617d629ee2/torch-2.10.0-3-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:0228d20b06701c05a8f978357f657817a4a63984b0c90745def81c18aedfa591", size = 915523882, upload-time = "2026-03-11T14:14:46.311Z" },
+    { url = "https://files.pythonhosted.org/packages/78/89/f5554b13ebd71e05c0b002f95148033e730d3f7067f67423026cc9c69410/torch-2.10.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:3282d9febd1e4e476630a099692b44fdc214ee9bf8ee5377732d9d9dfe5712e4", size = 145992610, upload-time = "2026-01-21T16:25:26.327Z" },
+    { url = "https://files.pythonhosted.org/packages/ae/30/a3a2120621bf9c17779b169fc17e3dc29b230c29d0f8222f499f5e159aa8/torch-2.10.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:a2f9edd8dbc99f62bc4dfb78af7bf89499bca3d753423ac1b4e06592e467b763", size = 915607863, upload-time = "2026-01-21T16:25:06.696Z" },
+    { url = "https://files.pythonhosted.org/packages/6f/3d/c87b33c5f260a2a8ad68da7147e105f05868c281c63d65ed85aa4da98c66/torch-2.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:29b7009dba4b7a1c960260fc8ac85022c784250af43af9fb0ebafc9883782ebd", size = 113723116, upload-time = "2026-01-21T16:25:21.916Z" },
+    { url = "https://files.pythonhosted.org/packages/61/d8/15b9d9d3a6b0c01b883787bd056acbe5cc321090d4b216d3ea89a8fcfdf3/torch-2.10.0-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:b7bd80f3477b830dd166c707c5b0b82a898e7b16f59a7d9d42778dd058272e8b", size = 79423461, upload-time = "2026-01-21T16:24:50.266Z" },
+    { url = "https://files.pythonhosted.org/packages/cc/af/758e242e9102e9988969b5e621d41f36b8f258bb4a099109b7a4b4b50ea4/torch-2.10.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:5fd4117d89ffd47e3dcc71e71a22efac24828ad781c7e46aaaf56bf7f2796acf", size = 145996088, upload-time = "2026-01-21T16:24:44.171Z" },
+    { url = "https://files.pythonhosted.org/packages/23/8e/3c74db5e53bff7ed9e34c8123e6a8bfef718b2450c35eefab85bb4a7e270/torch-2.10.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:787124e7db3b379d4f1ed54dd12ae7c741c16a4d29b49c0226a89bea50923ffb", size = 915711952, upload-time = "2026-01-21T16:23:53.503Z" },
+    { url = "https://files.pythonhosted.org/packages/6e/01/624c4324ca01f66ae4c7cd1b74eb16fb52596dce66dbe51eff95ef9e7a4c/torch-2.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:2c66c61f44c5f903046cc696d088e21062644cbe541c7f1c4eaae88b2ad23547", size = 113757972, upload-time = "2026-01-21T16:24:39.516Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/5c/dee910b87c4d5c0fcb41b50839ae04df87c1cfc663cf1b5fca7ea565eeaa/torch-2.10.0-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:6d3707a61863d1c4d6ebba7be4ca320f42b869ee657e9b2c21c736bf17000294", size = 79498198, upload-time = "2026-01-21T16:24:34.704Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/6f/f2e91e34e3fcba2e3fc8d8f74e7d6c22e74e480bbd1db7bc8900fdf3e95c/torch-2.10.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:5c4d217b14741e40776dd7074d9006fd28b8a97ef5654db959d8635b2fe5f29b", size = 146004247, upload-time = "2026-01-21T16:24:29.335Z" },
+    { url = "https://files.pythonhosted.org/packages/98/fb/5160261aeb5e1ee12ee95fe599d0541f7c976c3701d607d8fc29e623229f/torch-2.10.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:6b71486353fce0f9714ca0c9ef1c850a2ae766b409808acd58e9678a3edb7738", size = 915716445, upload-time = "2026-01-21T16:22:45.353Z" },
+    { url = "https://files.pythonhosted.org/packages/6a/16/502fb1b41e6d868e8deb5b0e3ae926bbb36dab8ceb0d1b769b266ad7b0c3/torch-2.10.0-cp313-cp313-win_amd64.whl", hash = "sha256:c2ee399c644dc92ef7bc0d4f7e74b5360c37cdbe7c5ba11318dda49ffac2bc57", size = 113757050, upload-time = "2026-01-21T16:24:19.204Z" },
+    { url = "https://files.pythonhosted.org/packages/1a/0b/39929b148f4824bc3ad6f9f72a29d4ad865bcf7ebfc2fa67584773e083d2/torch-2.10.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:3202429f58309b9fa96a614885eace4b7995729f44beb54d3e4a47773649d382", size = 79851305, upload-time = "2026-01-21T16:24:09.209Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/14/21fbce63bc452381ba5f74a2c0a959fdf5ad5803ccc0c654e752e0dbe91a/torch-2.10.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:aae1b29cd68e50a9397f5ee897b9c24742e9e306f88a807a27d617f07adb3bd8", size = 146005472, upload-time = "2026-01-21T16:22:29.022Z" },
+    { url = "https://files.pythonhosted.org/packages/54/fd/b207d1c525cb570ef47f3e9f836b154685011fce11a2f444ba8a4084d042/torch-2.10.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:6021db85958db2f07ec94e1bc77212721ba4920c12a18dc552d2ae36a3eb163f", size = 915612644, upload-time = "2026-01-21T16:21:47.019Z" },
+    { url = "https://files.pythonhosted.org/packages/36/53/0197f868c75f1050b199fe58f9bf3bf3aecac9b4e85cc9c964383d745403/torch-2.10.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ff43db38af76fda183156153983c9a096fc4c78d0cd1e07b14a2314c7f01c2c8", size = 113997015, upload-time = "2026-01-21T16:23:00.767Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/13/e76b4d9c160e89fff48bf16b449ea324bda84745d2ab30294c37c2434c0d/torch-2.10.0-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:cdf2a523d699b70d613243211ecaac14fe9c5df8a0b0a9c02add60fb2a413e0f", size = 79498248, upload-time = "2026-01-21T16:23:09.315Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/93/716b5ac0155f1be70ed81bacc21269c3ece8dba0c249b9994094110bfc51/torch-2.10.0-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:bf0d9ff448b0218e0433aeb198805192346c4fd659c852370d5cc245f602a06a", size = 79464992, upload-time = "2026-01-21T16:23:05.162Z" },
+    { url = "https://files.pythonhosted.org/packages/69/2b/51e663ff190c9d16d4a8271203b71bc73a16aa7619b9f271a69b9d4a936b/torch-2.10.0-cp314-cp314-manylinux_2_28_aarch64.whl", hash = "sha256:233aed0659a2503b831d8a67e9da66a62c996204c0bba4f4c442ccc0c68a3f60", size = 146018567, upload-time = "2026-01-21T16:22:23.393Z" },
+    { url = "https://files.pythonhosted.org/packages/5e/cd/4b95ef7f293b927c283db0b136c42be91c8ec6845c44de0238c8c23bdc80/torch-2.10.0-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:682497e16bdfa6efeec8cde66531bc8d1fbbbb4d8788ec6173c089ed3cc2bfe5", size = 915721646, upload-time = "2026-01-21T16:21:16.983Z" },
+    { url = "https://files.pythonhosted.org/packages/56/97/078a007208f8056d88ae43198833469e61a0a355abc0b070edd2c085eb9a/torch-2.10.0-cp314-cp314-win_amd64.whl", hash = "sha256:6528f13d2a8593a1a412ea07a99812495bec07e9224c28b2a25c0a30c7da025c", size = 113752373, upload-time = "2026-01-21T16:22:13.471Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/94/71994e7d0d5238393df9732fdab607e37e2b56d26a746cb59fdb415f8966/torch-2.10.0-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:f5ab4ba32383061be0fb74bda772d470140a12c1c3b58a0cfbf3dae94d164c28", size = 79850324, upload-time = "2026-01-21T16:22:09.494Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/65/1a05346b418ea8ccd10360eef4b3e0ce688fba544e76edec26913a8d0ee0/torch-2.10.0-cp314-cp314t-manylinux_2_28_aarch64.whl", hash = "sha256:716b01a176c2a5659c98f6b01bf868244abdd896526f1c692712ab36dbaf9b63", size = 146006482, upload-time = "2026-01-21T16:22:18.42Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/b9/5f6f9d9e859fc3235f60578fa64f52c9c6e9b4327f0fe0defb6de5c0de31/torch-2.10.0-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:d8f5912ba938233f86361e891789595ff35ca4b4e2ac8fe3670895e5976731d6", size = 915613050, upload-time = "2026-01-21T16:20:49.035Z" },
+    { url = "https://files.pythonhosted.org/packages/66/4d/35352043ee0eaffdeff154fad67cd4a31dbed7ff8e3be1cc4549717d6d51/torch-2.10.0-cp314-cp314t-win_amd64.whl", hash = "sha256:71283a373f0ee2c89e0f0d5f446039bdabe8dbc3c9ccf35f0f784908b0acd185", size = 113995816, upload-time = "2026-01-21T16:22:05.312Z" },
+]
+
+[[package]]
+name = "tornado"
+version = "6.5.5"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f8/f1/3173dfa4a18db4a9b03e5d55325559dab51ee653763bb8745a75af491286/tornado-6.5.5.tar.gz", hash = "sha256:192b8f3ea91bd7f1f50c06955416ed76c6b72f96779b962f07f911b91e8d30e9", size = 516006, upload-time = "2026-03-10T21:31:02.067Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/59/8c/77f5097695f4dd8255ecbd08b2a1ed8ba8b953d337804dd7080f199e12bf/tornado-6.5.5-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:487dc9cc380e29f58c7ab88f9e27cdeef04b2140862e5076a66fb6bb68bb1bfa", size = 445983, upload-time = "2026-03-10T21:30:44.28Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/5e/7625b76cd10f98f1516c36ce0346de62061156352353ef2da44e5c21523c/tornado-6.5.5-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:65a7f1d46d4bb41df1ac99f5fcb685fb25c7e61613742d5108b010975a9a6521", size = 444246, upload-time = "2026-03-10T21:30:46.571Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/04/7b5705d5b3c0fab088f434f9c83edac1573830ca49ccf29fb83bf7178eec/tornado-6.5.5-cp39-abi3-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:e74c92e8e65086b338fd56333fb9a68b9f6f2fe7ad532645a290a464bcf46be5", size = 447229, upload-time = "2026-03-10T21:30:48.273Z" },
+    { url = "https://files.pythonhosted.org/packages/34/01/74e034a30ef59afb4097ef8659515e96a39d910b712a89af76f5e4e1f93c/tornado-6.5.5-cp39-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:435319e9e340276428bbdb4e7fa732c2d399386d1de5686cb331ec8eee754f07", size = 448192, upload-time = "2026-03-10T21:30:51.22Z" },
+    { url = "https://files.pythonhosted.org/packages/be/00/fe9e02c5a96429fce1a1d15a517f5d8444f9c412e0bb9eadfbe3b0fc55bf/tornado-6.5.5-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:3f54aa540bdbfee7b9eb268ead60e7d199de5021facd276819c193c0fb28ea4e", size = 448039, upload-time = "2026-03-10T21:30:53.52Z" },
+    { url = "https://files.pythonhosted.org/packages/82/9e/656ee4cec0398b1d18d0f1eb6372c41c6b889722641d84948351ae19556d/tornado-6.5.5-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:36abed1754faeb80fbd6e64db2758091e1320f6bba74a4cf8c09cd18ccce8aca", size = 447445, upload-time = "2026-03-10T21:30:55.541Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/76/4921c00511f88af86a33de770d64141170f1cfd9c00311aea689949e274e/tornado-6.5.5-cp39-abi3-win32.whl", hash = "sha256:dd3eafaaeec1c7f2f8fdcd5f964e8907ad788fe8a5a32c4426fbbdda621223b7", size = 448582, upload-time = "2026-03-10T21:30:57.142Z" },
+    { url = "https://files.pythonhosted.org/packages/2c/23/f6c6112a04d28eed765e374435fb1a9198f73e1ec4b4024184f21faeb1ad/tornado-6.5.5-cp39-abi3-win_amd64.whl", hash = "sha256:6443a794ba961a9f619b1ae926a2e900ac20c34483eea67be4ed8f1e58d3ef7b", size = 448990, upload-time = "2026-03-10T21:30:58.857Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/c8/876602cbc96469911f0939f703453c1157b0c826ecb05bdd32e023397d4e/tornado-6.5.5-cp39-abi3-win_arm64.whl", hash = "sha256:2c9a876e094109333f888539ddb2de4361743e5d21eece20688e3e351e4990a6", size = 448016, upload-time = "2026-03-10T21:31:00.43Z" },
+]
+
+[[package]]
+name = "tqdm"
+version = "4.67.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/09/a9/6ba95a270c6f1fbcd8dac228323f2777d886cb206987444e4bce66338dd4/tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb", size = 169598, upload-time = "2026-02-03T17:35:53.048Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/16/e1/3079a9ff9b8e11b846c6ac5c8b5bfb7ff225eee721825310c91b3b50304f/tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf", size = 78374, upload-time = "2026-02-03T17:35:50.982Z" },
+]
+
+[[package]]
+name = "traitlets"
+version = "5.14.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/eb/79/72064e6a701c2183016abbbfedaba506d81e30e232a68c9f0d6f6fcd1574/traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7", size = 161621, upload-time = "2024-04-19T11:11:49.746Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/00/c0/8f5d070730d7836adc9c9b6408dec68c6ced86b304a9b26a14df072a6e8c/traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f", size = 85359, upload-time = "2024-04-19T11:11:46.763Z" },
+]
+
+[[package]]
+name = "triton"
+version = "3.6.0"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e0/12/b05ba554d2c623bffa59922b94b0775673de251f468a9609bc9e45de95e9/triton-3.6.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e8e323d608e3a9bfcc2d9efcc90ceefb764a82b99dea12a86d643c72539ad5d3", size = 188214640, upload-time = "2026-01-20T16:00:35.869Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/a8/cdf8b3e4c98132f965f88c2313a4b493266832ad47fb52f23d14d4f86bb5/triton-3.6.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:74caf5e34b66d9f3a429af689c1c7128daba1d8208df60e81106b115c00d6fca", size = 188266850, upload-time = "2026-01-20T16:00:43.041Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/0b/37d991d8c130ce81a8728ae3c25b6e60935838e9be1b58791f5997b24a54/triton-3.6.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:10c7f76c6e72d2ef08df639e3d0d30729112f47a56b0c81672edc05ee5116ac9", size = 188289450, upload-time = "2026-01-20T16:00:49.136Z" },
+    { url = "https://files.pythonhosted.org/packages/35/f8/9c66bfc55361ec6d0e4040a0337fb5924ceb23de4648b8a81ae9d33b2b38/triton-3.6.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d002e07d7180fd65e622134fbd980c9a3d4211fb85224b56a0a0efbd422ab72f", size = 188400296, upload-time = "2026-01-20T16:00:56.042Z" },
+    { url = "https://files.pythonhosted.org/packages/df/3d/9e7eee57b37c80cec63322c0231bb6da3cfe535a91d7a4d64896fcb89357/triton-3.6.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a17a5d5985f0ac494ed8a8e54568f092f7057ef60e1b0fa09d3fd1512064e803", size = 188273063, upload-time = "2026-01-20T16:01:07.278Z" },
+    { url = "https://files.pythonhosted.org/packages/f6/56/6113c23ff46c00aae423333eb58b3e60bdfe9179d542781955a5e1514cb3/triton-3.6.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:46bd1c1af4b6704e554cad2eeb3b0a6513a980d470ccfa63189737340c7746a7", size = 188397994, upload-time = "2026-01-20T16:01:14.236Z" },
+]
+
+[[package]]
+name = "typing-extensions"
+version = "4.15.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/72/94/1a15dd82efb362ac84269196e94cf00f187f7ed21c242792a923cdb1c61f/typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466", size = 109391, upload-time = "2025-08-25T13:49:26.313Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/18/67/36e9267722cc04a6b9f15c7f3441c2363321a3ea07da7ae0c0707beb2a9c/typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548", size = 44614, upload-time = "2025-08-25T13:49:24.86Z" },
+]
+
+[[package]]
+name = "tzdata"
+version = "2025.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/5e/a7/c202b344c5ca7daf398f3b8a477eeb205cf3b6f32e7ec3a6bac0629ca975/tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7", size = 196772, upload-time = "2025-12-13T17:45:35.667Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c7/b0/003792df09decd6849a5e39c28b513c06e84436a54440380862b5aeff25d/tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1", size = 348521, upload-time = "2025-12-13T17:45:33.889Z" },
+]
+
+[[package]]
+name = "uc-micro-py"
+version = "2.0.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/78/67/9a363818028526e2d4579334460df777115bdec1bb77c08f9db88f6389f2/uc_micro_py-2.0.0.tar.gz", hash = "sha256:c53691e495c8db60e16ffc4861a35469b0ba0821fe409a8a7a0a71864d33a811", size = 6611, upload-time = "2026-03-01T06:31:27.526Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/61/73/d21edf5b204d1467e06500080a50f79d49ef2b997c79123a536d4a17d97c/uc_micro_py-2.0.0-py3-none-any.whl", hash = "sha256:3603a3859af53e5a39bc7677713c78ea6589ff188d70f4fee165db88e22b242c", size = 6383, upload-time = "2026-03-01T06:31:26.257Z" },
+]
+
+[[package]]
+name = "uri-template"
+version = "1.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/31/c7/0336f2bd0bcbada6ccef7aaa25e443c118a704f828a0620c6fa0207c1b64/uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7", size = 21678, upload-time = "2023-06-21T01:49:05.374Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e7/00/3fca040d7cf8a32776d3d81a00c8ee7457e00f80c649f1e4a863c8321ae9/uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363", size = 11140, upload-time = "2023-06-21T01:49:03.467Z" },
+]
+
+[[package]]
+name = "urllib3"
+version = "2.6.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/c7/24/5f1b3bdffd70275f6661c76461e25f024d5a38a46f04aaca912426a2b1d3/urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed", size = 435556, upload-time = "2026-01-07T16:24:43.925Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/39/08/aaaad47bc4e9dc8c725e68f9d04865dbcb2052843ff09c97b08904852d84/urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4", size = 131584, upload-time = "2026-01-07T16:24:42.685Z" },
+]
+
+[[package]]
+name = "uvicorn"
+version = "0.42.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "click", marker = "sys_platform != 'emscripten'" },
+    { name = "h11", marker = "sys_platform != 'emscripten'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/e3/ad/4a96c425be6fb67e0621e62d86c402b4a17ab2be7f7c055d9bd2f638b9e2/uvicorn-0.42.0.tar.gz", hash = "sha256:9b1f190ce15a2dd22e7758651d9b6d12df09a13d51ba5bf4fc33c383a48e1775", size = 85393, upload-time = "2026-03-16T06:19:50.077Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0a/89/f8827ccff89c1586027a105e5630ff6139a64da2515e24dafe860bd9ae4d/uvicorn-0.42.0-py3-none-any.whl", hash = "sha256:96c30f5c7abe6f74ae8900a70e92b85ad6613b745d4879eb9b16ccad15645359", size = 68830, upload-time = "2026-03-16T06:19:48.325Z" },
+]
+
+[[package]]
+name = "watchdog"
+version = "6.0.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/db/7d/7f3d619e951c88ed75c6037b246ddcf2d322812ee8ea189be89511721d54/watchdog-6.0.0.tar.gz", hash = "sha256:9ddf7c82fda3ae8e24decda1338ede66e1c99883db93711d8fb941eaa2d8c282", size = 131220, upload-time = "2024-11-01T14:07:13.037Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e0/24/d9be5cd6642a6aa68352ded4b4b10fb0d7889cb7f45814fb92cecd35f101/watchdog-6.0.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6eb11feb5a0d452ee41f824e271ca311a09e250441c262ca2fd7ebcf2461a06c", size = 96393, upload-time = "2024-11-01T14:06:31.756Z" },
+    { url = "https://files.pythonhosted.org/packages/63/7a/6013b0d8dbc56adca7fdd4f0beed381c59f6752341b12fa0886fa7afc78b/watchdog-6.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ef810fbf7b781a5a593894e4f439773830bdecb885e6880d957d5b9382a960d2", size = 88392, upload-time = "2024-11-01T14:06:32.99Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/40/b75381494851556de56281e053700e46bff5b37bf4c7267e858640af5a7f/watchdog-6.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:afd0fe1b2270917c5e23c2a65ce50c2a4abb63daafb0d419fde368e272a76b7c", size = 89019, upload-time = "2024-11-01T14:06:34.963Z" },
+    { url = "https://files.pythonhosted.org/packages/39/ea/3930d07dafc9e286ed356a679aa02d777c06e9bfd1164fa7c19c288a5483/watchdog-6.0.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:bdd4e6f14b8b18c334febb9c4425a878a2ac20efd1e0b231978e7b150f92a948", size = 96471, upload-time = "2024-11-01T14:06:37.745Z" },
+    { url = "https://files.pythonhosted.org/packages/12/87/48361531f70b1f87928b045df868a9fd4e253d9ae087fa4cf3f7113be363/watchdog-6.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c7c15dda13c4eb00d6fb6fc508b3c0ed88b9d5d374056b239c4ad1611125c860", size = 88449, upload-time = "2024-11-01T14:06:39.748Z" },
+    { url = "https://files.pythonhosted.org/packages/5b/7e/8f322f5e600812e6f9a31b75d242631068ca8f4ef0582dd3ae6e72daecc8/watchdog-6.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6f10cb2d5902447c7d0da897e2c6768bca89174d0c6e1e30abec5421af97a5b0", size = 89054, upload-time = "2024-11-01T14:06:41.009Z" },
+    { url = "https://files.pythonhosted.org/packages/68/98/b0345cabdce2041a01293ba483333582891a3bd5769b08eceb0d406056ef/watchdog-6.0.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:490ab2ef84f11129844c23fb14ecf30ef3d8a6abafd3754a6f75ca1e6654136c", size = 96480, upload-time = "2024-11-01T14:06:42.952Z" },
+    { url = "https://files.pythonhosted.org/packages/85/83/cdf13902c626b28eedef7ec4f10745c52aad8a8fe7eb04ed7b1f111ca20e/watchdog-6.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:76aae96b00ae814b181bb25b1b98076d5fc84e8a53cd8885a318b42b6d3a5134", size = 88451, upload-time = "2024-11-01T14:06:45.084Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/c4/225c87bae08c8b9ec99030cd48ae9c4eca050a59bf5c2255853e18c87b50/watchdog-6.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:a175f755fc2279e0b7312c0035d52e27211a5bc39719dd529625b1930917345b", size = 89057, upload-time = "2024-11-01T14:06:47.324Z" },
+    { url = "https://files.pythonhosted.org/packages/a9/c7/ca4bf3e518cb57a686b2feb4f55a1892fd9a3dd13f470fca14e00f80ea36/watchdog-6.0.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7607498efa04a3542ae3e05e64da8202e58159aa1fa4acddf7678d34a35d4f13", size = 79079, upload-time = "2024-11-01T14:06:59.472Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/51/d46dc9332f9a647593c947b4b88e2381c8dfc0942d15b8edc0310fa4abb1/watchdog-6.0.0-py3-none-manylinux2014_armv7l.whl", hash = "sha256:9041567ee8953024c83343288ccc458fd0a2d811d6a0fd68c4c22609e3490379", size = 79078, upload-time = "2024-11-01T14:07:01.431Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/57/04edbf5e169cd318d5f07b4766fee38e825d64b6913ca157ca32d1a42267/watchdog-6.0.0-py3-none-manylinux2014_i686.whl", hash = "sha256:82dc3e3143c7e38ec49d61af98d6558288c415eac98486a5c581726e0737c00e", size = 79076, upload-time = "2024-11-01T14:07:02.568Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/cc/da8422b300e13cb187d2203f20b9253e91058aaf7db65b74142013478e66/watchdog-6.0.0-py3-none-manylinux2014_ppc64.whl", hash = "sha256:212ac9b8bf1161dc91bd09c048048a95ca3a4c4f5e5d4a7d1b1a7d5752a7f96f", size = 79077, upload-time = "2024-11-01T14:07:03.893Z" },
+    { url = "https://files.pythonhosted.org/packages/2c/3b/b8964e04ae1a025c44ba8e4291f86e97fac443bca31de8bd98d3263d2fcf/watchdog-6.0.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:e3df4cbb9a450c6d49318f6d14f4bbc80d763fa587ba46ec86f99f9e6876bb26", size = 79078, upload-time = "2024-11-01T14:07:05.189Z" },
+    { url = "https://files.pythonhosted.org/packages/62/ae/a696eb424bedff7407801c257d4b1afda455fe40821a2be430e173660e81/watchdog-6.0.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:2cce7cfc2008eb51feb6aab51251fd79b85d9894e98ba847408f662b3395ca3c", size = 79077, upload-time = "2024-11-01T14:07:06.376Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/e8/dbf020b4d98251a9860752a094d09a65e1b436ad181faf929983f697048f/watchdog-6.0.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:20ffe5b202af80ab4266dcd3e91aae72bf2da48c0d33bdb15c66658e685e94e2", size = 79078, upload-time = "2024-11-01T14:07:07.547Z" },
+    { url = "https://files.pythonhosted.org/packages/07/f6/d0e5b343768e8bcb4cda79f0f2f55051bf26177ecd5651f84c07567461cf/watchdog-6.0.0-py3-none-win32.whl", hash = "sha256:07df1fdd701c5d4c8e55ef6cf55b8f0120fe1aef7ef39a1c6fc6bc2e606d517a", size = 79065, upload-time = "2024-11-01T14:07:09.525Z" },
+    { url = "https://files.pythonhosted.org/packages/db/d9/c495884c6e548fce18a8f40568ff120bc3a4b7b99813081c8ac0c936fa64/watchdog-6.0.0-py3-none-win_amd64.whl", hash = "sha256:cbafb470cf848d93b5d013e2ecb245d4aa1c8fd0504e863ccefa32445359d680", size = 79070, upload-time = "2024-11-01T14:07:10.686Z" },
+    { url = "https://files.pythonhosted.org/packages/33/e8/e40370e6d74ddba47f002a32919d91310d6074130fe4e17dabcafc15cbf1/watchdog-6.0.0-py3-none-win_ia64.whl", hash = "sha256:a1914259fa9e1454315171103c6a30961236f508b9b623eae470268bbcc6a22f", size = 79067, upload-time = "2024-11-01T14:07:11.845Z" },
+]
+
+[[package]]
+name = "watchfiles"
+version = "1.1.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "anyio", marker = "sys_platform != 'emscripten'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/c2/c9/8869df9b2a2d6c59d79220a4db37679e74f807c559ffe5265e08b227a210/watchfiles-1.1.1.tar.gz", hash = "sha256:a173cb5c16c4f40ab19cecf48a534c409f7ea983ab8fed0741304a1c0a31b3f2", size = 94440, upload-time = "2025-10-14T15:06:21.08Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1f/f8/2c5f479fb531ce2f0564eda479faecf253d886b1ab3630a39b7bf7362d46/watchfiles-1.1.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:f57b396167a2565a4e8b5e56a5a1c537571733992b226f4f1197d79e94cf0ae5", size = 406529, upload-time = "2025-10-14T15:04:32.899Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/cd/f515660b1f32f65df671ddf6f85bfaca621aee177712874dc30a97397977/watchfiles-1.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:421e29339983e1bebc281fab40d812742268ad057db4aee8c4d2bce0af43b741", size = 394384, upload-time = "2025-10-14T15:04:33.761Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/c3/28b7dc99733eab43fca2d10f55c86e03bd6ab11ca31b802abac26b23d161/watchfiles-1.1.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6e43d39a741e972bab5d8100b5cdacf69db64e34eb19b6e9af162bccf63c5cc6", size = 448789, upload-time = "2025-10-14T15:04:34.679Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/24/33e71113b320030011c8e4316ccca04194bf0cbbaeee207f00cbc7d6b9f5/watchfiles-1.1.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f537afb3276d12814082a2e9b242bdcf416c2e8fd9f799a737990a1dbe906e5b", size = 460521, upload-time = "2025-10-14T15:04:35.963Z" },
+    { url = "https://files.pythonhosted.org/packages/f4/c3/3c9a55f255aa57b91579ae9e98c88704955fa9dac3e5614fb378291155df/watchfiles-1.1.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b2cd9e04277e756a2e2d2543d65d1e2166d6fd4c9b183f8808634fda23f17b14", size = 488722, upload-time = "2025-10-14T15:04:37.091Z" },
+    { url = "https://files.pythonhosted.org/packages/49/36/506447b73eb46c120169dc1717fe2eff07c234bb3232a7200b5f5bd816e9/watchfiles-1.1.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5f3f58818dc0b07f7d9aa7fe9eb1037aecb9700e63e1f6acfed13e9fef648f5d", size = 596088, upload-time = "2025-10-14T15:04:38.39Z" },
+    { url = "https://files.pythonhosted.org/packages/82/ab/5f39e752a9838ec4d52e9b87c1e80f1ee3ccdbe92e183c15b6577ab9de16/watchfiles-1.1.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9bb9f66367023ae783551042d31b1d7fd422e8289eedd91f26754a66f44d5cff", size = 472923, upload-time = "2025-10-14T15:04:39.666Z" },
+    { url = "https://files.pythonhosted.org/packages/af/b9/a419292f05e302dea372fa7e6fda5178a92998411f8581b9830d28fb9edb/watchfiles-1.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aebfd0861a83e6c3d1110b78ad54704486555246e542be3e2bb94195eabb2606", size = 456080, upload-time = "2025-10-14T15:04:40.643Z" },
+    { url = "https://files.pythonhosted.org/packages/b0/c3/d5932fd62bde1a30c36e10c409dc5d54506726f08cb3e1d8d0ba5e2bc8db/watchfiles-1.1.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:5fac835b4ab3c6487b5dbad78c4b3724e26bcc468e886f8ba8cc4306f68f6701", size = 629432, upload-time = "2025-10-14T15:04:41.789Z" },
+    { url = "https://files.pythonhosted.org/packages/f7/77/16bddd9779fafb795f1a94319dc965209c5641db5bf1edbbccace6d1b3c0/watchfiles-1.1.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:399600947b170270e80134ac854e21b3ccdefa11a9529a3decc1327088180f10", size = 623046, upload-time = "2025-10-14T15:04:42.718Z" },
+    { url = "https://files.pythonhosted.org/packages/46/ef/f2ecb9a0f342b4bfad13a2787155c6ee7ce792140eac63a34676a2feeef2/watchfiles-1.1.1-cp311-cp311-win32.whl", hash = "sha256:de6da501c883f58ad50db3a32ad397b09ad29865b5f26f64c24d3e3281685849", size = 271473, upload-time = "2025-10-14T15:04:43.624Z" },
+    { url = "https://files.pythonhosted.org/packages/94/bc/f42d71125f19731ea435c3948cad148d31a64fccde3867e5ba4edee901f9/watchfiles-1.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:35c53bd62a0b885bf653ebf6b700d1bf05debb78ad9292cf2a942b23513dc4c4", size = 287598, upload-time = "2025-10-14T15:04:44.516Z" },
+    { url = "https://files.pythonhosted.org/packages/57/c9/a30f897351f95bbbfb6abcadafbaca711ce1162f4db95fc908c98a9165f3/watchfiles-1.1.1-cp311-cp311-win_arm64.whl", hash = "sha256:57ca5281a8b5e27593cb7d82c2ac927ad88a96ed406aa446f6344e4328208e9e", size = 277210, upload-time = "2025-10-14T15:04:45.883Z" },
+    { url = "https://files.pythonhosted.org/packages/74/d5/f039e7e3c639d9b1d09b07ea412a6806d38123f0508e5f9b48a87b0a76cc/watchfiles-1.1.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:8c89f9f2f740a6b7dcc753140dd5e1ab9215966f7a3530d0c0705c83b401bd7d", size = 404745, upload-time = "2025-10-14T15:04:46.731Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/96/a881a13aa1349827490dab2d363c8039527060cfcc2c92cc6d13d1b1049e/watchfiles-1.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:bd404be08018c37350f0d6e34676bd1e2889990117a2b90070b3007f172d0610", size = 391769, upload-time = "2025-10-14T15:04:48.003Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/5b/d3b460364aeb8da471c1989238ea0e56bec24b6042a68046adf3d9ddb01c/watchfiles-1.1.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8526e8f916bb5b9a0a777c8317c23ce65de259422bba5b31325a6fa6029d33af", size = 449374, upload-time = "2025-10-14T15:04:49.179Z" },
+    { url = "https://files.pythonhosted.org/packages/b9/44/5769cb62d4ed055cb17417c0a109a92f007114a4e07f30812a73a4efdb11/watchfiles-1.1.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2edc3553362b1c38d9f06242416a5d8e9fe235c204a4072e988ce2e5bb1f69f6", size = 459485, upload-time = "2025-10-14T15:04:50.155Z" },
+    { url = "https://files.pythonhosted.org/packages/19/0c/286b6301ded2eccd4ffd0041a1b726afda999926cf720aab63adb68a1e36/watchfiles-1.1.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:30f7da3fb3f2844259cba4720c3fc7138eb0f7b659c38f3bfa65084c7fc7abce", size = 488813, upload-time = "2025-10-14T15:04:51.059Z" },
+    { url = "https://files.pythonhosted.org/packages/c7/2b/8530ed41112dd4a22f4dcfdb5ccf6a1baad1ff6eed8dc5a5f09e7e8c41c7/watchfiles-1.1.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f8979280bdafff686ba5e4d8f97840f929a87ed9cdf133cbbd42f7766774d2aa", size = 594816, upload-time = "2025-10-14T15:04:52.031Z" },
+    { url = "https://files.pythonhosted.org/packages/ce/d2/f5f9fb49489f184f18470d4f99f4e862a4b3e9ac2865688eb2099e3d837a/watchfiles-1.1.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dcc5c24523771db3a294c77d94771abcfcb82a0e0ee8efd910c37c59ec1b31bb", size = 475186, upload-time = "2025-10-14T15:04:53.064Z" },
+    { url = "https://files.pythonhosted.org/packages/cf/68/5707da262a119fb06fbe214d82dd1fe4a6f4af32d2d14de368d0349eb52a/watchfiles-1.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1db5d7ae38ff20153d542460752ff397fcf5c96090c1230803713cf3147a6803", size = 456812, upload-time = "2025-10-14T15:04:55.174Z" },
+    { url = "https://files.pythonhosted.org/packages/66/ab/3cbb8756323e8f9b6f9acb9ef4ec26d42b2109bce830cc1f3468df20511d/watchfiles-1.1.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:28475ddbde92df1874b6c5c8aaeb24ad5be47a11f87cde5a28ef3835932e3e94", size = 630196, upload-time = "2025-10-14T15:04:56.22Z" },
+    { url = "https://files.pythonhosted.org/packages/78/46/7152ec29b8335f80167928944a94955015a345440f524d2dfe63fc2f437b/watchfiles-1.1.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:36193ed342f5b9842edd3532729a2ad55c4160ffcfa3700e0d54be496b70dd43", size = 622657, upload-time = "2025-10-14T15:04:57.521Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/bf/95895e78dd75efe9a7f31733607f384b42eb5feb54bd2eb6ed57cc2e94f4/watchfiles-1.1.1-cp312-cp312-win32.whl", hash = "sha256:859e43a1951717cc8de7f4c77674a6d389b106361585951d9e69572823f311d9", size = 272042, upload-time = "2025-10-14T15:04:59.046Z" },
+    { url = "https://files.pythonhosted.org/packages/87/0a/90eb755f568de2688cb220171c4191df932232c20946966c27a59c400850/watchfiles-1.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:91d4c9a823a8c987cce8fa2690923b069966dabb196dd8d137ea2cede885fde9", size = 288410, upload-time = "2025-10-14T15:05:00.081Z" },
+    { url = "https://files.pythonhosted.org/packages/36/76/f322701530586922fbd6723c4f91ace21364924822a8772c549483abed13/watchfiles-1.1.1-cp312-cp312-win_arm64.whl", hash = "sha256:a625815d4a2bdca61953dbba5a39d60164451ef34c88d751f6c368c3ea73d404", size = 278209, upload-time = "2025-10-14T15:05:01.168Z" },
+    { url = "https://files.pythonhosted.org/packages/bb/f4/f750b29225fe77139f7ae5de89d4949f5a99f934c65a1f1c0b248f26f747/watchfiles-1.1.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:130e4876309e8686a5e37dba7d5e9bc77e6ed908266996ca26572437a5271e18", size = 404321, upload-time = "2025-10-14T15:05:02.063Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/f9/f07a295cde762644aa4c4bb0f88921d2d141af45e735b965fb2e87858328/watchfiles-1.1.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5f3bde70f157f84ece3765b42b4a52c6ac1a50334903c6eaf765362f6ccca88a", size = 391783, upload-time = "2025-10-14T15:05:03.052Z" },
+    { url = "https://files.pythonhosted.org/packages/bc/11/fc2502457e0bea39a5c958d86d2cb69e407a4d00b85735ca724bfa6e0d1a/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:14e0b1fe858430fc0251737ef3824c54027bedb8c37c38114488b8e131cf8219", size = 449279, upload-time = "2025-10-14T15:05:04.004Z" },
+    { url = "https://files.pythonhosted.org/packages/e3/1f/d66bc15ea0b728df3ed96a539c777acfcad0eb78555ad9efcaa1274688f0/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f27db948078f3823a6bb3b465180db8ebecf26dd5dae6f6180bd87383b6b4428", size = 459405, upload-time = "2025-10-14T15:05:04.942Z" },
+    { url = "https://files.pythonhosted.org/packages/be/90/9f4a65c0aec3ccf032703e6db02d89a157462fbb2cf20dd415128251cac0/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:059098c3a429f62fc98e8ec62b982230ef2c8df68c79e826e37b895bc359a9c0", size = 488976, upload-time = "2025-10-14T15:05:05.905Z" },
+    { url = "https://files.pythonhosted.org/packages/37/57/ee347af605d867f712be7029bb94c8c071732a4b44792e3176fa3c612d39/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bfb5862016acc9b869bb57284e6cb35fdf8e22fe59f7548858e2f971d045f150", size = 595506, upload-time = "2025-10-14T15:05:06.906Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/78/cc5ab0b86c122047f75e8fc471c67a04dee395daf847d3e59381996c8707/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:319b27255aacd9923b8a276bb14d21a5f7ff82564c744235fc5eae58d95422ae", size = 474936, upload-time = "2025-10-14T15:05:07.906Z" },
+    { url = "https://files.pythonhosted.org/packages/62/da/def65b170a3815af7bd40a3e7010bf6ab53089ef1b75d05dd5385b87cf08/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c755367e51db90e75b19454b680903631d41f9e3607fbd941d296a020c2d752d", size = 456147, upload-time = "2025-10-14T15:05:09.138Z" },
+    { url = "https://files.pythonhosted.org/packages/57/99/da6573ba71166e82d288d4df0839128004c67d2778d3b566c138695f5c0b/watchfiles-1.1.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:c22c776292a23bfc7237a98f791b9ad3144b02116ff10d820829ce62dff46d0b", size = 630007, upload-time = "2025-10-14T15:05:10.117Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/51/7439c4dd39511368849eb1e53279cd3454b4a4dbace80bab88feeb83c6b5/watchfiles-1.1.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:3a476189be23c3686bc2f4321dd501cb329c0a0469e77b7b534ee10129ae6374", size = 622280, upload-time = "2025-10-14T15:05:11.146Z" },
+    { url = "https://files.pythonhosted.org/packages/95/9c/8ed97d4bba5db6fdcdb2b298d3898f2dd5c20f6b73aee04eabe56c59677e/watchfiles-1.1.1-cp313-cp313-win32.whl", hash = "sha256:bf0a91bfb5574a2f7fc223cf95eeea79abfefa404bf1ea5e339c0c1560ae99a0", size = 272056, upload-time = "2025-10-14T15:05:12.156Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/f3/c14e28429f744a260d8ceae18bf58c1d5fa56b50d006a7a9f80e1882cb0d/watchfiles-1.1.1-cp313-cp313-win_amd64.whl", hash = "sha256:52e06553899e11e8074503c8e716d574adeeb7e68913115c4b3653c53f9bae42", size = 288162, upload-time = "2025-10-14T15:05:13.208Z" },
+    { url = "https://files.pythonhosted.org/packages/dc/61/fe0e56c40d5cd29523e398d31153218718c5786b5e636d9ae8ae79453d27/watchfiles-1.1.1-cp313-cp313-win_arm64.whl", hash = "sha256:ac3cc5759570cd02662b15fbcd9d917f7ecd47efe0d6b40474eafd246f91ea18", size = 277909, upload-time = "2025-10-14T15:05:14.49Z" },
+    { url = "https://files.pythonhosted.org/packages/79/42/e0a7d749626f1e28c7108a99fb9bf524b501bbbeb9b261ceecde644d5a07/watchfiles-1.1.1-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:563b116874a9a7ce6f96f87cd0b94f7faf92d08d0021e837796f0a14318ef8da", size = 403389, upload-time = "2025-10-14T15:05:15.777Z" },
+    { url = "https://files.pythonhosted.org/packages/15/49/08732f90ce0fbbc13913f9f215c689cfc9ced345fb1bcd8829a50007cc8d/watchfiles-1.1.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3ad9fe1dae4ab4212d8c91e80b832425e24f421703b5a42ef2e4a1e215aff051", size = 389964, upload-time = "2025-10-14T15:05:16.85Z" },
+    { url = "https://files.pythonhosted.org/packages/27/0d/7c315d4bd5f2538910491a0393c56bf70d333d51bc5b34bee8e68e8cea19/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce70f96a46b894b36eba678f153f052967a0d06d5b5a19b336ab0dbbd029f73e", size = 448114, upload-time = "2025-10-14T15:05:17.876Z" },
+    { url = "https://files.pythonhosted.org/packages/c3/24/9e096de47a4d11bc4df41e9d1e61776393eac4cb6eb11b3e23315b78b2cc/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:cb467c999c2eff23a6417e58d75e5828716f42ed8289fe6b77a7e5a91036ca70", size = 460264, upload-time = "2025-10-14T15:05:18.962Z" },
+    { url = "https://files.pythonhosted.org/packages/cc/0f/e8dea6375f1d3ba5fcb0b3583e2b493e77379834c74fd5a22d66d85d6540/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:836398932192dae4146c8f6f737d74baeac8b70ce14831a239bdb1ca882fc261", size = 487877, upload-time = "2025-10-14T15:05:20.094Z" },
+    { url = "https://files.pythonhosted.org/packages/ac/5b/df24cfc6424a12deb41503b64d42fbea6b8cb357ec62ca84a5a3476f654a/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:743185e7372b7bc7c389e1badcc606931a827112fbbd37f14c537320fca08620", size = 595176, upload-time = "2025-10-14T15:05:21.134Z" },
+    { url = "https://files.pythonhosted.org/packages/8f/b5/853b6757f7347de4e9b37e8cc3289283fb983cba1ab4d2d7144694871d9c/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:afaeff7696e0ad9f02cbb8f56365ff4686ab205fcf9c4c5b6fdfaaa16549dd04", size = 473577, upload-time = "2025-10-14T15:05:22.306Z" },
+    { url = "https://files.pythonhosted.org/packages/e1/f7/0a4467be0a56e80447c8529c9fce5b38eab4f513cb3d9bf82e7392a5696b/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3f7eb7da0eb23aa2ba036d4f616d46906013a68caf61b7fdbe42fc8b25132e77", size = 455425, upload-time = "2025-10-14T15:05:23.348Z" },
+    { url = "https://files.pythonhosted.org/packages/8e/e0/82583485ea00137ddf69bc84a2db88bd92ab4a6e3c405e5fb878ead8d0e7/watchfiles-1.1.1-cp313-cp313t-musllinux_1_1_aarch64.whl", hash = "sha256:831a62658609f0e5c64178211c942ace999517f5770fe9436be4c2faeba0c0ef", size = 628826, upload-time = "2025-10-14T15:05:24.398Z" },
+    { url = "https://files.pythonhosted.org/packages/28/9a/a785356fccf9fae84c0cc90570f11702ae9571036fb25932f1242c82191c/watchfiles-1.1.1-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:f9a2ae5c91cecc9edd47e041a930490c31c3afb1f5e6d71de3dc671bfaca02bf", size = 622208, upload-time = "2025-10-14T15:05:25.45Z" },
+    { url = "https://files.pythonhosted.org/packages/c3/f4/0872229324ef69b2c3edec35e84bd57a1289e7d3fe74588048ed8947a323/watchfiles-1.1.1-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:d1715143123baeeaeadec0528bb7441103979a1d5f6fd0e1f915383fea7ea6d5", size = 404315, upload-time = "2025-10-14T15:05:26.501Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/22/16d5331eaed1cb107b873f6ae1b69e9ced582fcf0c59a50cd84f403b1c32/watchfiles-1.1.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:39574d6370c4579d7f5d0ad940ce5b20db0e4117444e39b6d8f99db5676c52fd", size = 390869, upload-time = "2025-10-14T15:05:27.649Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/7e/5643bfff5acb6539b18483128fdc0ef2cccc94a5b8fbda130c823e8ed636/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7365b92c2e69ee952902e8f70f3ba6360d0d596d9299d55d7d386df84b6941fb", size = 449919, upload-time = "2025-10-14T15:05:28.701Z" },
+    { url = "https://files.pythonhosted.org/packages/51/2e/c410993ba5025a9f9357c376f48976ef0e1b1aefb73b97a5ae01a5972755/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bfff9740c69c0e4ed32416f013f3c45e2ae42ccedd1167ef2d805c000b6c71a5", size = 460845, upload-time = "2025-10-14T15:05:30.064Z" },
+    { url = "https://files.pythonhosted.org/packages/8e/a4/2df3b404469122e8680f0fcd06079317e48db58a2da2950fb45020947734/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b27cf2eb1dda37b2089e3907d8ea92922b673c0c427886d4edc6b94d8dfe5db3", size = 489027, upload-time = "2025-10-14T15:05:31.064Z" },
+    { url = "https://files.pythonhosted.org/packages/ea/84/4587ba5b1f267167ee715b7f66e6382cca6938e0a4b870adad93e44747e6/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:526e86aced14a65a5b0ec50827c745597c782ff46b571dbfe46192ab9e0b3c33", size = 595615, upload-time = "2025-10-14T15:05:32.074Z" },
+    { url = "https://files.pythonhosted.org/packages/6a/0f/c6988c91d06e93cd0bb3d4a808bcf32375ca1904609835c3031799e3ecae/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:04e78dd0b6352db95507fd8cb46f39d185cf8c74e4cf1e4fbad1d3df96faf510", size = 474836, upload-time = "2025-10-14T15:05:33.209Z" },
+    { url = "https://files.pythonhosted.org/packages/b4/36/ded8aebea91919485b7bbabbd14f5f359326cb5ec218cd67074d1e426d74/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5c85794a4cfa094714fb9c08d4a218375b2b95b8ed1666e8677c349906246c05", size = 455099, upload-time = "2025-10-14T15:05:34.189Z" },
+    { url = "https://files.pythonhosted.org/packages/98/e0/8c9bdba88af756a2fce230dd365fab2baf927ba42cd47521ee7498fd5211/watchfiles-1.1.1-cp314-cp314-musllinux_1_1_aarch64.whl", hash = "sha256:74d5012b7630714b66be7b7b7a78855ef7ad58e8650c73afc4c076a1f480a8d6", size = 630626, upload-time = "2025-10-14T15:05:35.216Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/84/a95db05354bf2d19e438520d92a8ca475e578c647f78f53197f5a2f17aaf/watchfiles-1.1.1-cp314-cp314-musllinux_1_1_x86_64.whl", hash = "sha256:8fbe85cb3201c7d380d3d0b90e63d520f15d6afe217165d7f98c9c649654db81", size = 622519, upload-time = "2025-10-14T15:05:36.259Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/ce/d8acdc8de545de995c339be67711e474c77d643555a9bb74a9334252bd55/watchfiles-1.1.1-cp314-cp314-win32.whl", hash = "sha256:3fa0b59c92278b5a7800d3ee7733da9d096d4aabcfabb9a928918bd276ef9b9b", size = 272078, upload-time = "2025-10-14T15:05:37.63Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/c9/a74487f72d0451524be827e8edec251da0cc1fcf111646a511ae752e1a3d/watchfiles-1.1.1-cp314-cp314-win_amd64.whl", hash = "sha256:c2047d0b6cea13b3316bdbafbfa0c4228ae593d995030fda39089d36e64fc03a", size = 287664, upload-time = "2025-10-14T15:05:38.95Z" },
+    { url = "https://files.pythonhosted.org/packages/df/b8/8ac000702cdd496cdce998c6f4ee0ca1f15977bba51bdf07d872ebdfc34c/watchfiles-1.1.1-cp314-cp314-win_arm64.whl", hash = "sha256:842178b126593addc05acf6fce960d28bc5fae7afbaa2c6c1b3a7b9460e5be02", size = 277154, upload-time = "2025-10-14T15:05:39.954Z" },
+    { url = "https://files.pythonhosted.org/packages/47/a8/e3af2184707c29f0f14b1963c0aace6529f9d1b8582d5b99f31bbf42f59e/watchfiles-1.1.1-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:88863fbbc1a7312972f1c511f202eb30866370ebb8493aef2812b9ff28156a21", size = 403820, upload-time = "2025-10-14T15:05:40.932Z" },
+    { url = "https://files.pythonhosted.org/packages/c0/ec/e47e307c2f4bd75f9f9e8afbe3876679b18e1bcec449beca132a1c5ffb2d/watchfiles-1.1.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:55c7475190662e202c08c6c0f4d9e345a29367438cf8e8037f3155e10a88d5a5", size = 390510, upload-time = "2025-10-14T15:05:41.945Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/a0/ad235642118090f66e7b2f18fd5c42082418404a79205cdfca50b6309c13/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f53fa183d53a1d7a8852277c92b967ae99c2d4dcee2bfacff8868e6e30b15f7", size = 448408, upload-time = "2025-10-14T15:05:43.385Z" },
+    { url = "https://files.pythonhosted.org/packages/df/85/97fa10fd5ff3332ae17e7e40e20784e419e28521549780869f1413742e9d/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6aae418a8b323732fa89721d86f39ec8f092fc2af67f4217a2b07fd3e93c6101", size = 458968, upload-time = "2025-10-14T15:05:44.404Z" },
+    { url = "https://files.pythonhosted.org/packages/47/c2/9059c2e8966ea5ce678166617a7f75ecba6164375f3b288e50a40dc6d489/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f096076119da54a6080e8920cbdaac3dbee667eb91dcc5e5b78840b87415bd44", size = 488096, upload-time = "2025-10-14T15:05:45.398Z" },
+    { url = "https://files.pythonhosted.org/packages/94/44/d90a9ec8ac309bc26db808a13e7bfc0e4e78b6fc051078a554e132e80160/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:00485f441d183717038ed2e887a7c868154f216877653121068107b227a2f64c", size = 596040, upload-time = "2025-10-14T15:05:46.502Z" },
+    { url = "https://files.pythonhosted.org/packages/95/68/4e3479b20ca305cfc561db3ed207a8a1c745ee32bf24f2026a129d0ddb6e/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a55f3e9e493158d7bfdb60a1165035f1cf7d320914e7b7ea83fe22c6023b58fc", size = 473847, upload-time = "2025-10-14T15:05:47.484Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/55/2af26693fd15165c4ff7857e38330e1b61ab8c37d15dc79118cdba115b7a/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c91ed27800188c2ae96d16e3149f199d62f86c7af5f5f4d2c61a3ed8cd3666c", size = 455072, upload-time = "2025-10-14T15:05:48.928Z" },
+    { url = "https://files.pythonhosted.org/packages/66/1d/d0d200b10c9311ec25d2273f8aad8c3ef7cc7ea11808022501811208a750/watchfiles-1.1.1-cp314-cp314t-musllinux_1_1_aarch64.whl", hash = "sha256:311ff15a0bae3714ffb603e6ba6dbfba4065ab60865d15a6ec544133bdb21099", size = 629104, upload-time = "2025-10-14T15:05:49.908Z" },
+    { url = "https://files.pythonhosted.org/packages/e3/bd/fa9bb053192491b3867ba07d2343d9f2252e00811567d30ae8d0f78136fe/watchfiles-1.1.1-cp314-cp314t-musllinux_1_1_x86_64.whl", hash = "sha256:a916a2932da8f8ab582f242c065f5c81bed3462849ca79ee357dd9551b0e9b01", size = 622112, upload-time = "2025-10-14T15:05:50.941Z" },
+    { url = "https://files.pythonhosted.org/packages/d3/8e/e500f8b0b77be4ff753ac94dc06b33d8f0d839377fee1b78e8c8d8f031bf/watchfiles-1.1.1-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:db476ab59b6765134de1d4fe96a1a9c96ddf091683599be0f26147ea1b2e4b88", size = 408250, upload-time = "2025-10-14T15:06:10.264Z" },
+    { url = "https://files.pythonhosted.org/packages/bd/95/615e72cd27b85b61eec764a5ca51bd94d40b5adea5ff47567d9ebc4d275a/watchfiles-1.1.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:89eef07eee5e9d1fda06e38822ad167a044153457e6fd997f8a858ab7564a336", size = 396117, upload-time = "2025-10-14T15:06:11.28Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/81/e7fe958ce8a7fb5c73cc9fb07f5aeaf755e6aa72498c57d760af760c91f8/watchfiles-1.1.1-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce19e06cbda693e9e7686358af9cd6f5d61312ab8b00488bc36f5aabbaf77e24", size = 450493, upload-time = "2025-10-14T15:06:12.321Z" },
+    { url = "https://files.pythonhosted.org/packages/6e/d4/ed38dd3b1767193de971e694aa544356e63353c33a85d948166b5ff58b9e/watchfiles-1.1.1-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3e6f39af2eab0118338902798b5aa6664f46ff66bc0280de76fca67a7f262a49", size = 457546, upload-time = "2025-10-14T15:06:13.372Z" },
+]
+
+[[package]]
+name = "wcmatch"
+version = "10.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "bracex" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/79/3e/c0bdc27cf06f4e47680bd5803a07cb3dfd17de84cde92dd217dcb9e05253/wcmatch-10.1.tar.gz", hash = "sha256:f11f94208c8c8484a16f4f48638a85d771d9513f4ab3f37595978801cb9465af", size = 117421, upload-time = "2025-06-22T19:14:02.49Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/eb/d8/0d1d2e9d3fabcf5d6840362adcf05f8cf3cd06a73358140c3a97189238ae/wcmatch-10.1-py3-none-any.whl", hash = "sha256:5848ace7dbb0476e5e55ab63c6bbd529745089343427caa5537f230cc01beb8a", size = 39854, upload-time = "2025-06-22T19:14:00.978Z" },
+]
+
+[[package]]
+name = "wcwidth"
+version = "0.6.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/35/a2/8e3becb46433538a38726c948d3399905a4c7cabd0df578ede5dc51f0ec2/wcwidth-0.6.0.tar.gz", hash = "sha256:cdc4e4262d6ef9a1a57e018384cbeb1208d8abbc64176027e2c2455c81313159", size = 159684, upload-time = "2026-02-06T19:19:40.919Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/68/5a/199c59e0a824a3db2b89c5d2dade7ab5f9624dbf6448dc291b46d5ec94d3/wcwidth-0.6.0-py3-none-any.whl", hash = "sha256:1a3a1e510b553315f8e146c54764f4fb6264ffad731b3d78088cdb1478ffbdad", size = 94189, upload-time = "2026-02-06T19:19:39.646Z" },
+]
+
+[[package]]
+name = "webcolors"
+version = "25.10.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/1d/7a/eb316761ec35664ea5174709a68bbd3389de60d4a1ebab8808bfc264ed67/webcolors-25.10.0.tar.gz", hash = "sha256:62abae86504f66d0f6364c2a8520de4a0c47b80c03fc3a5f1815fedbef7c19bf", size = 53491, upload-time = "2025-10-31T07:51:03.977Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e2/cc/e097523dd85c9cf5d354f78310927f1656c422bd7b2613b2db3e3f9a0f2c/webcolors-25.10.0-py3-none-any.whl", hash = "sha256:032c727334856fc0b968f63daa252a1ac93d33db2f5267756623c210e57a4f1d", size = 14905, upload-time = "2025-10-31T07:51:01.778Z" },
+]
+
+[[package]]
+name = "webencodings"
+version = "0.5.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/0b/02/ae6ceac1baeda530866a85075641cec12989bd8d31af6d5ab4a3e8c92f47/webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923", size = 9721, upload-time = "2017-04-05T20:21:34.189Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f4/24/2a3e3df732393fed8b3ebf2ec078f05546de641fe1b667ee316ec1dcf3b7/webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78", size = 11774, upload-time = "2017-04-05T20:21:32.581Z" },
+]
+
+[[package]]
+name = "websocket-client"
+version = "1.9.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/2c/41/aa4bf9664e4cda14c3b39865b12251e8e7d239f4cd0e3cc1b6c2ccde25c1/websocket_client-1.9.0.tar.gz", hash = "sha256:9e813624b6eb619999a97dc7958469217c3176312b3a16a4bd1bc7e08a46ec98", size = 70576, upload-time = "2025-10-07T21:16:36.495Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/34/db/b10e48aa8fff7407e67470363eac595018441cf32d5e1001567a7aeba5d2/websocket_client-1.9.0-py3-none-any.whl", hash = "sha256:af248a825037ef591efbf6ed20cc5faa03d3b47b9e5a2230a529eeee1c1fc3ef", size = 82616, upload-time = "2025-10-07T21:16:34.951Z" },
+]
+
+[[package]]
+name = "websockets"
+version = "16.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/04/24/4b2031d72e840ce4c1ccb255f693b15c334757fc50023e4db9537080b8c4/websockets-16.0.tar.gz", hash = "sha256:5f6261a5e56e8d5c42a4497b364ea24d94d9563e8fbd44e78ac40879c60179b5", size = 179346, upload-time = "2026-01-10T09:23:47.181Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f2/db/de907251b4ff46ae804ad0409809504153b3f30984daf82a1d84a9875830/websockets-16.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:31a52addea25187bde0797a97d6fc3d2f92b6f72a9370792d65a6e84615ac8a8", size = 177340, upload-time = "2026-01-10T09:22:34.539Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/fa/abe89019d8d8815c8781e90d697dec52523fb8ebe308bf11664e8de1877e/websockets-16.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:417b28978cdccab24f46400586d128366313e8a96312e4b9362a4af504f3bbad", size = 175022, upload-time = "2026-01-10T09:22:36.332Z" },
+    { url = "https://files.pythonhosted.org/packages/58/5d/88ea17ed1ded2079358b40d31d48abe90a73c9e5819dbcde1606e991e2ad/websockets-16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:af80d74d4edfa3cb9ed973a0a5ba2b2a549371f8a741e0800cb07becdd20f23d", size = 175319, upload-time = "2026-01-10T09:22:37.602Z" },
+    { url = "https://files.pythonhosted.org/packages/d2/ae/0ee92b33087a33632f37a635e11e1d99d429d3d323329675a6022312aac2/websockets-16.0-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:08d7af67b64d29823fed316505a89b86705f2b7981c07848fb5e3ea3020c1abe", size = 184631, upload-time = "2026-01-10T09:22:38.789Z" },
+    { url = "https://files.pythonhosted.org/packages/c8/c5/27178df583b6c5b31b29f526ba2da5e2f864ecc79c99dae630a85d68c304/websockets-16.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7be95cfb0a4dae143eaed2bcba8ac23f4892d8971311f1b06f3c6b78952ee70b", size = 185870, upload-time = "2026-01-10T09:22:39.893Z" },
+    { url = "https://files.pythonhosted.org/packages/87/05/536652aa84ddc1c018dbb7e2c4cbcd0db884580bf8e95aece7593fde526f/websockets-16.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d6297ce39ce5c2e6feb13c1a996a2ded3b6832155fcfc920265c76f24c7cceb5", size = 185361, upload-time = "2026-01-10T09:22:41.016Z" },
+    { url = "https://files.pythonhosted.org/packages/6d/e2/d5332c90da12b1e01f06fb1b85c50cfc489783076547415bf9f0a659ec19/websockets-16.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:1c1b30e4f497b0b354057f3467f56244c603a79c0d1dafce1d16c283c25f6e64", size = 184615, upload-time = "2026-01-10T09:22:42.442Z" },
+    { url = "https://files.pythonhosted.org/packages/77/fb/d3f9576691cae9253b51555f841bc6600bf0a983a461c79500ace5a5b364/websockets-16.0-cp311-cp311-win32.whl", hash = "sha256:5f451484aeb5cafee1ccf789b1b66f535409d038c56966d6101740c1614b86c6", size = 178246, upload-time = "2026-01-10T09:22:43.654Z" },
+    { url = "https://files.pythonhosted.org/packages/54/67/eaff76b3dbaf18dcddabc3b8c1dba50b483761cccff67793897945b37408/websockets-16.0-cp311-cp311-win_amd64.whl", hash = "sha256:8d7f0659570eefb578dacde98e24fb60af35350193e4f56e11190787bee77dac", size = 178684, upload-time = "2026-01-10T09:22:44.941Z" },
+    { url = "https://files.pythonhosted.org/packages/84/7b/bac442e6b96c9d25092695578dda82403c77936104b5682307bd4deb1ad4/websockets-16.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:71c989cbf3254fbd5e84d3bff31e4da39c43f884e64f2551d14bb3c186230f00", size = 177365, upload-time = "2026-01-10T09:22:46.787Z" },
+    { url = "https://files.pythonhosted.org/packages/b0/fe/136ccece61bd690d9c1f715baaeefd953bb2360134de73519d5df19d29ca/websockets-16.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:8b6e209ffee39ff1b6d0fa7bfef6de950c60dfb91b8fcead17da4ee539121a79", size = 175038, upload-time = "2026-01-10T09:22:47.999Z" },
+    { url = "https://files.pythonhosted.org/packages/40/1e/9771421ac2286eaab95b8575b0cb701ae3663abf8b5e1f64f1fd90d0a673/websockets-16.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:86890e837d61574c92a97496d590968b23c2ef0aeb8a9bc9421d174cd378ae39", size = 175328, upload-time = "2026-01-10T09:22:49.809Z" },
+    { url = "https://files.pythonhosted.org/packages/18/29/71729b4671f21e1eaa5d6573031ab810ad2936c8175f03f97f3ff164c802/websockets-16.0-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:9b5aca38b67492ef518a8ab76851862488a478602229112c4b0d58d63a7a4d5c", size = 184915, upload-time = "2026-01-10T09:22:51.071Z" },
+    { url = "https://files.pythonhosted.org/packages/97/bb/21c36b7dbbafc85d2d480cd65df02a1dc93bf76d97147605a8e27ff9409d/websockets-16.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e0334872c0a37b606418ac52f6ab9cfd17317ac26365f7f65e203e2d0d0d359f", size = 186152, upload-time = "2026-01-10T09:22:52.224Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/34/9bf8df0c0cf88fa7bfe36678dc7b02970c9a7d5e065a3099292db87b1be2/websockets-16.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a0b31e0b424cc6b5a04b8838bbaec1688834b2383256688cf47eb97412531da1", size = 185583, upload-time = "2026-01-10T09:22:53.443Z" },
+    { url = "https://files.pythonhosted.org/packages/47/88/4dd516068e1a3d6ab3c7c183288404cd424a9a02d585efbac226cb61ff2d/websockets-16.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:485c49116d0af10ac698623c513c1cc01c9446c058a4e61e3bf6c19dff7335a2", size = 184880, upload-time = "2026-01-10T09:22:55.033Z" },
+    { url = "https://files.pythonhosted.org/packages/91/d6/7d4553ad4bf1c0421e1ebd4b18de5d9098383b5caa1d937b63df8d04b565/websockets-16.0-cp312-cp312-win32.whl", hash = "sha256:eaded469f5e5b7294e2bdca0ab06becb6756ea86894a47806456089298813c89", size = 178261, upload-time = "2026-01-10T09:22:56.251Z" },
+    { url = "https://files.pythonhosted.org/packages/c3/f0/f3a17365441ed1c27f850a80b2bc680a0fa9505d733fe152fdf5e98c1c0b/websockets-16.0-cp312-cp312-win_amd64.whl", hash = "sha256:5569417dc80977fc8c2d43a86f78e0a5a22fee17565d78621b6bb264a115d4ea", size = 178693, upload-time = "2026-01-10T09:22:57.478Z" },
+    { url = "https://files.pythonhosted.org/packages/cc/9c/baa8456050d1c1b08dd0ec7346026668cbc6f145ab4e314d707bb845bf0d/websockets-16.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:878b336ac47938b474c8f982ac2f7266a540adc3fa4ad74ae96fea9823a02cc9", size = 177364, upload-time = "2026-01-10T09:22:59.333Z" },
+    { url = "https://files.pythonhosted.org/packages/7e/0c/8811fc53e9bcff68fe7de2bcbe75116a8d959ac699a3200f4847a8925210/websockets-16.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:52a0fec0e6c8d9a784c2c78276a48a2bdf099e4ccc2a4cad53b27718dbfd0230", size = 175039, upload-time = "2026-01-10T09:23:01.171Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/82/39a5f910cb99ec0b59e482971238c845af9220d3ab9fa76dd9162cda9d62/websockets-16.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:e6578ed5b6981005df1860a56e3617f14a6c307e6a71b4fff8c48fdc50f3ed2c", size = 175323, upload-time = "2026-01-10T09:23:02.341Z" },
+    { url = "https://files.pythonhosted.org/packages/bd/28/0a25ee5342eb5d5f297d992a77e56892ecb65e7854c7898fb7d35e9b33bd/websockets-16.0-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:95724e638f0f9c350bb1c2b0a7ad0e83d9cc0c9259f3ea94e40d7b02a2179ae5", size = 184975, upload-time = "2026-01-10T09:23:03.756Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/66/27ea52741752f5107c2e41fda05e8395a682a1e11c4e592a809a90c6a506/websockets-16.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c0204dc62a89dc9d50d682412c10b3542d748260d743500a85c13cd1ee4bde82", size = 186203, upload-time = "2026-01-10T09:23:05.01Z" },
+    { url = "https://files.pythonhosted.org/packages/37/e5/8e32857371406a757816a2b471939d51c463509be73fa538216ea52b792a/websockets-16.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:52ac480f44d32970d66763115edea932f1c5b1312de36df06d6b219f6741eed8", size = 185653, upload-time = "2026-01-10T09:23:06.301Z" },
+    { url = "https://files.pythonhosted.org/packages/9b/67/f926bac29882894669368dc73f4da900fcdf47955d0a0185d60103df5737/websockets-16.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6e5a82b677f8f6f59e8dfc34ec06ca6b5b48bc4fcda346acd093694cc2c24d8f", size = 184920, upload-time = "2026-01-10T09:23:07.492Z" },
+    { url = "https://files.pythonhosted.org/packages/3c/a1/3d6ccdcd125b0a42a311bcd15a7f705d688f73b2a22d8cf1c0875d35d34a/websockets-16.0-cp313-cp313-win32.whl", hash = "sha256:abf050a199613f64c886ea10f38b47770a65154dc37181bfaff70c160f45315a", size = 178255, upload-time = "2026-01-10T09:23:09.245Z" },
+    { url = "https://files.pythonhosted.org/packages/6b/ae/90366304d7c2ce80f9b826096a9e9048b4bb760e44d3b873bb272cba696b/websockets-16.0-cp313-cp313-win_amd64.whl", hash = "sha256:3425ac5cf448801335d6fdc7ae1eb22072055417a96cc6b31b3861f455fbc156", size = 178689, upload-time = "2026-01-10T09:23:10.483Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/1d/e88022630271f5bd349ed82417136281931e558d628dd52c4d8621b4a0b2/websockets-16.0-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:8cc451a50f2aee53042ac52d2d053d08bf89bcb31ae799cb4487587661c038a0", size = 177406, upload-time = "2026-01-10T09:23:12.178Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/78/e63be1bf0724eeb4616efb1ae1c9044f7c3953b7957799abb5915bffd38e/websockets-16.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:daa3b6ff70a9241cf6c7fc9e949d41232d9d7d26fd3522b1ad2b4d62487e9904", size = 175085, upload-time = "2026-01-10T09:23:13.511Z" },
+    { url = "https://files.pythonhosted.org/packages/bb/f4/d3c9220d818ee955ae390cf319a7c7a467beceb24f05ee7aaaa2414345ba/websockets-16.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:fd3cb4adb94a2a6e2b7c0d8d05cb94e6f1c81a0cf9dc2694fb65c7e8d94c42e4", size = 175328, upload-time = "2026-01-10T09:23:14.727Z" },
+    { url = "https://files.pythonhosted.org/packages/63/bc/d3e208028de777087e6fb2b122051a6ff7bbcca0d6df9d9c2bf1dd869ae9/websockets-16.0-cp314-cp314-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:781caf5e8eee67f663126490c2f96f40906594cb86b408a703630f95550a8c3e", size = 185044, upload-time = "2026-01-10T09:23:15.939Z" },
+    { url = "https://files.pythonhosted.org/packages/ad/6e/9a0927ac24bd33a0a9af834d89e0abc7cfd8e13bed17a86407a66773cc0e/websockets-16.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:caab51a72c51973ca21fa8a18bd8165e1a0183f1ac7066a182ff27107b71e1a4", size = 186279, upload-time = "2026-01-10T09:23:17.148Z" },
+    { url = "https://files.pythonhosted.org/packages/b9/ca/bf1c68440d7a868180e11be653c85959502efd3a709323230314fda6e0b3/websockets-16.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:19c4dc84098e523fd63711e563077d39e90ec6702aff4b5d9e344a60cb3c0cb1", size = 185711, upload-time = "2026-01-10T09:23:18.372Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/f8/fdc34643a989561f217bb477cbc47a3a07212cbda91c0e4389c43c296ebf/websockets-16.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:a5e18a238a2b2249c9a9235466b90e96ae4795672598a58772dd806edc7ac6d3", size = 184982, upload-time = "2026-01-10T09:23:19.652Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/d1/574fa27e233764dbac9c52730d63fcf2823b16f0856b3329fc6268d6ae4f/websockets-16.0-cp314-cp314-win32.whl", hash = "sha256:a069d734c4a043182729edd3e9f247c3b2a4035415a9172fd0f1b71658a320a8", size = 177915, upload-time = "2026-01-10T09:23:21.458Z" },
+    { url = "https://files.pythonhosted.org/packages/8a/f1/ae6b937bf3126b5134ce1f482365fde31a357c784ac51852978768b5eff4/websockets-16.0-cp314-cp314-win_amd64.whl", hash = "sha256:c0ee0e63f23914732c6d7e0cce24915c48f3f1512ec1d079ed01fc629dab269d", size = 178381, upload-time = "2026-01-10T09:23:22.715Z" },
+    { url = "https://files.pythonhosted.org/packages/06/9b/f791d1db48403e1f0a27577a6beb37afae94254a8c6f08be4a23e4930bc0/websockets-16.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:a35539cacc3febb22b8f4d4a99cc79b104226a756aa7400adc722e83b0d03244", size = 177737, upload-time = "2026-01-10T09:23:24.523Z" },
+    { url = "https://files.pythonhosted.org/packages/bd/40/53ad02341fa33b3ce489023f635367a4ac98b73570102ad2cdd770dacc9a/websockets-16.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:b784ca5de850f4ce93ec85d3269d24d4c82f22b7212023c974c401d4980ebc5e", size = 175268, upload-time = "2026-01-10T09:23:25.781Z" },
+    { url = "https://files.pythonhosted.org/packages/74/9b/6158d4e459b984f949dcbbb0c5d270154c7618e11c01029b9bbd1bb4c4f9/websockets-16.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:569d01a4e7fba956c5ae4fc988f0d4e187900f5497ce46339c996dbf24f17641", size = 175486, upload-time = "2026-01-10T09:23:27.033Z" },
+    { url = "https://files.pythonhosted.org/packages/e5/2d/7583b30208b639c8090206f95073646c2c9ffd66f44df967981a64f849ad/websockets-16.0-cp314-cp314t-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:50f23cdd8343b984957e4077839841146f67a3d31ab0d00e6b824e74c5b2f6e8", size = 185331, upload-time = "2026-01-10T09:23:28.259Z" },
+    { url = "https://files.pythonhosted.org/packages/45/b0/cce3784eb519b7b5ad680d14b9673a31ab8dcb7aad8b64d81709d2430aa8/websockets-16.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:152284a83a00c59b759697b7f9e9cddf4e3c7861dd0d964b472b70f78f89e80e", size = 186501, upload-time = "2026-01-10T09:23:29.449Z" },
+    { url = "https://files.pythonhosted.org/packages/19/60/b8ebe4c7e89fb5f6cdf080623c9d92789a53636950f7abacfc33fe2b3135/websockets-16.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:bc59589ab64b0022385f429b94697348a6a234e8ce22544e3681b2e9331b5944", size = 186062, upload-time = "2026-01-10T09:23:31.368Z" },
+    { url = "https://files.pythonhosted.org/packages/88/a8/a080593f89b0138b6cba1b28f8df5673b5506f72879322288b031337c0b8/websockets-16.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:32da954ffa2814258030e5a57bc73a3635463238e797c7375dc8091327434206", size = 185356, upload-time = "2026-01-10T09:23:32.627Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/b6/b9afed2afadddaf5ebb2afa801abf4b0868f42f8539bfe4b071b5266c9fe/websockets-16.0-cp314-cp314t-win32.whl", hash = "sha256:5a4b4cc550cb665dd8a47f868c8d04c8230f857363ad3c9caf7a0c3bf8c61ca6", size = 178085, upload-time = "2026-01-10T09:23:33.816Z" },
+    { url = "https://files.pythonhosted.org/packages/9f/3e/28135a24e384493fa804216b79a6a6759a38cc4ff59118787b9fb693df93/websockets-16.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b14dc141ed6d2dde437cddb216004bcac6a1df0935d79656387bd41632ba0bbd", size = 178531, upload-time = "2026-01-10T09:23:35.016Z" },
+    { url = "https://files.pythonhosted.org/packages/72/07/c98a68571dcf256e74f1f816b8cc5eae6eb2d3d5cfa44d37f801619d9166/websockets-16.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:349f83cd6c9a415428ee1005cadb5c2c56f4389bc06a9af16103c3bc3dcc8b7d", size = 174947, upload-time = "2026-01-10T09:23:36.166Z" },
+    { url = "https://files.pythonhosted.org/packages/7e/52/93e166a81e0305b33fe416338be92ae863563fe7bce446b0f687b9df5aea/websockets-16.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:4a1aba3340a8dca8db6eb5a7986157f52eb9e436b74813764241981ca4888f03", size = 175260, upload-time = "2026-01-10T09:23:37.409Z" },
+    { url = "https://files.pythonhosted.org/packages/56/0c/2dbf513bafd24889d33de2ff0368190a0e69f37bcfa19009ef819fe4d507/websockets-16.0-pp311-pypy311_pp73-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:f4a32d1bd841d4bcbffdcb3d2ce50c09c3909fbead375ab28d0181af89fd04da", size = 176071, upload-time = "2026-01-10T09:23:39.158Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/8f/aea9c71cc92bf9b6cc0f7f70df8f0b420636b6c96ef4feee1e16f80f75dd/websockets-16.0-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0298d07ee155e2e9fda5be8a9042200dd2e3bb0b8a38482156576f863a9d457c", size = 176968, upload-time = "2026-01-10T09:23:41.031Z" },
+    { url = "https://files.pythonhosted.org/packages/9a/3f/f70e03f40ffc9a30d817eef7da1be72ee4956ba8d7255c399a01b135902a/websockets-16.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:a653aea902e0324b52f1613332ddf50b00c06fdaf7e92624fbf8c77c78fa5767", size = 178735, upload-time = "2026-01-10T09:23:42.259Z" },
+    { url = "https://files.pythonhosted.org/packages/6f/28/258ebab549c2bf3e64d2b0217b973467394a9cea8c42f70418ca2c5d0d2e/websockets-16.0-py3-none-any.whl", hash = "sha256:1637db62fad1dc833276dded54215f2c7fa46912301a24bd94d45d46a011ceec", size = 171598, upload-time = "2026-01-10T09:23:45.395Z" },
+]
+
+[[package]]
+name = "widgetsnbextension"
+version = "4.0.15"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/bd/f4/c67440c7fb409a71b7404b7aefcd7569a9c0d6bd071299bf4198ae7a5d95/widgetsnbextension-4.0.15.tar.gz", hash = "sha256:de8610639996f1567952d763a5a41af8af37f2575a41f9852a38f947eb82a3b9", size = 1097402, upload-time = "2025-11-01T21:15:55.178Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3f/0e/fa3b193432cfc60c93b42f3be03365f5f909d2b3ea410295cf36df739e31/widgetsnbextension-4.0.15-py3-none-any.whl", hash = "sha256:8156704e4346a571d9ce73b84bee86a29906c9abfd7223b7228a28899ccf3366", size = 2196503, upload-time = "2025-11-01T21:15:53.565Z" },
+]
+
+[[package]]
+name = "xarray"
+version = "2026.2.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+    { name = "packaging" },
+    { name = "pandas" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/0f/03/e3353b72e518574b32993989d8f696277bf878e9d508c7dd22e86c0dab5b/xarray-2026.2.0.tar.gz", hash = "sha256:978b6acb018770554f8fd964af4eb02f9bcc165d4085dbb7326190d92aa74bcf", size = 3111388, upload-time = "2026-02-13T22:20:50.18Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/99/92/545eb2ca17fc0e05456728d7e4378bfee48d66433ae3b7e71948e46826fb/xarray-2026.2.0-py3-none-any.whl", hash = "sha256:e927d7d716ea71dea78a13417970850a640447d8dd2ceeb65c5687f6373837c9", size = 1405358, upload-time = "2026-02-13T22:20:47.847Z" },
+]
+
+[[package]]
+name = "xmltodict"
+version = "1.0.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/19/70/80f3b7c10d2630aa66414bf23d210386700aa390547278c789afa994fd7e/xmltodict-1.0.4.tar.gz", hash = "sha256:6d94c9f834dd9e44514162799d344d815a3a4faec913717a9ecbfa5be1bb8e61", size = 26124, upload-time = "2026-02-22T02:21:22.074Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/38/34/98a2f52245f4d47be93b580dae5f9861ef58977d73a79eb47c58f1ad1f3a/xmltodict-1.0.4-py3-none-any.whl", hash = "sha256:a4a00d300b0e1c59fc2bfccb53d7b2e88c32f200df138a0dd2229f842497026a", size = 13580, upload-time = "2026-02-22T02:21:21.039Z" },
+]
+
+[[package]]
+name = "zipp"
+version = "3.23.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e3/02/0f2892c661036d50ede074e376733dca2ae7c6eb617489437771209d4180/zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166", size = 25547, upload-time = "2025-06-08T17:06:39.4Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2e/54/647ade08bf0db230bfea292f893923872fd20be6ac6f53b2b936ba839d75/zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e", size = 10276, upload-time = "2025-06-08T17:06:38.034Z" },
+]