diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index b209250..11841ac 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -16,12 +16,22 @@ jobs:
 
       - name: Install font
         run: |
-          cd /usr/share/fonts
-          wget https://github.com/JulietaUla/Montserrat/archive/refs/tags/v7.222.tar.gz
-          tar -xvzf v7.222.tar.gz
-          sudo chmod -R --reference=/usr/share/fonts/truetype Montserrat-7.222
+          # ---- Install Host Grotesk (v1.002) ----
+          # prerequisites (unzip isn’t needed if you keep using tar)
+          sudo apt-get update -y
+          sudo apt-get install -y wget tar
+          # 1) create a spot for the family
+          sudo mkdir -p /usr/share/fonts/truetype/hostgrotesk
+          cd /usr/share/fonts/truetype/hostgrotesk
+          # 2) download the latest release tarball
+          #    -> https://github.com/Element-Type/HostGrotesk/releases/tag/1.002
+          wget -q https://github.com/Element-Type/HostGrotesk/archive/refs/tags/1.002.tar.gz
+          # 3) extract only the TTFs; strip the first two path components
+          tar --wildcards --strip-components=2 -xzf 1.002.tar.gz "*/fonts/ttf/*.ttf"
+          # 4) match permissions to other truetype fonts
+          sudo chmod -R --reference=/usr/share/fonts/truetype/dejavu .
+          # 5) refresh the cache & verify
           sudo fc-cache -fv
-          fc-match Montserrat
-
+          fc-match "Host Grotesk"
       - run: pip install ".[docs]"
       - run: mkdocs gh-deploy --force
diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml
deleted file mode 100644
index cf9bf50..0000000
--- a/.github/workflows/lint.yml
+++ /dev/null
@@ -1,30 +0,0 @@
-name: Lint
-
-on:
-  push:
-    branches: [ main ]
-  pull_request:
-    branches: [ main ]
-
-
-
-jobs:
-  lint:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v2
-      - name: Setup Python 3
-        uses: actions/setup-python@v2
-        with:
-          python-version: "3.x"
-
-      - name: Run black
-        uses: psf/black@stable
-
-      - name: Check for debugging print statements
-        run: |
-          if grep -rq "print(" vizta; then
-              echo "Found the following print statements:"
-              grep -r "print(" vizta
-              exit 1
-          fi
diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml
index dea50c1..07254b5 100644
--- a/.github/workflows/publish.yml
+++ b/.github/workflows/publish.yml
@@ -1,7 +1,4 @@
-# This workflows will upload a Python Package using Twine when a release is created
-# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
-
-name: PyPI
+name: Publish to PyPI
 
 on:
   release:
@@ -10,21 +7,24 @@ on:
 jobs:
   deploy:
     runs-on: ubuntu-latest
-
+    environment: pypi
+    permissions:
+      id-token: write
     steps:
-    - uses: actions/checkout@v2
-    - name: Set up Python
-      uses: actions/setup-python@v2
+    - name: Checkout project
+      uses: actions/checkout@v4
+
+    - name: Install uv
+      uses: astral-sh/setup-uv@v5
+
+    - name: Setup Python
+      uses: actions/setup-python@v5
       with:
-        python-version: '3.x'
-    - name: Install dependencies
-      run: |
-        python -m pip install --upgrade pip
-        pip install setuptools wheel twine build
-    - name: Build and publish
-      env:
-        TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
-        TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
+        python-version-file: pyproject.toml
+
+    - name: Build
       run: |
-        python -m build --sdist --wheel .
-        twine upload dist/*
+        uv build
+
+    - name: Publish to PyPI
+      uses: pypa/gh-action-pypi-publish@release/v1
diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
index 2f58bba..e4d35a9 100644
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -1,39 +1,39 @@
-name: tests
+name: Lint and Test
 
 on:
   push:
-    branches: [ main ]
+    branches: [main]
   pull_request:
-    branches: [ main ]
+    branches: [main]
 
 jobs:
-  build:
-    runs-on: ${{ matrix.os }}
-    strategy:
-      matrix:
-        os: [ubuntu-latest, windows-latest, macos-latest]
-
+  lint:
+    runs-on: ubuntu-latest
     steps:
-    - uses: actions/checkout@v3
-    - name: Set up Python 3.8
-      uses: actions/setup-python@v4
+    - uses: actions/checkout@v4
+
+    - name: Set up Python
+      uses: actions/setup-python@v5
       with:
-        python-version: "3.8"
-    - name: Install dependencies
-      run: |
-        python -m pip install --upgrade pip
-        pip install flake8 pytest pytest-cov wheel
-        pip install -e .
-    - name: Lint with flake8
-      run: |
-        # stop the build if there are Python syntax errors or undefined names
-        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
-        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
-        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
-    - name: Run unit and system tests
-      run: |
-        pytest --cov=vizta tests/
-    - name: Upload coverage to codecov
-      uses: codecov/codecov-action@v3
+        python-version-file: pyproject.toml
+
+    - uses: pre-commit/action@v3.0.1
       with:
-        fail_ci_if_error: true
+        extra_args: --all-files
+
+  test:
+    runs-on: ubuntu-latest
+    steps:
+    - name: Checkout project
+      uses: actions/checkout@v4
+
+    - name: Install uv
+      uses: astral-sh/setup-uv@v5
+
+    - name: Setup Python
+      uses: actions/setup-python@v5
+      with:
+        python-version-file: pyproject.toml
+
+    - name: Run tests
+      run: uv run pytest tests
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index c7a7afb..9e485c7 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,6 +1,19 @@
 repos:
-  - repo: https://github.com/psf/black
-    rev: 22.10.0 # Replace by any tag/version: https://github.com/psf/black/tags
-    hooks:
-      - id: black
-        language_version: python3 # Should be a command that runs python3.6+
+- repo: https://github.com/pre-commit/pre-commit-hooks
+  rev: v5.0.0
+  hooks:
+  - id: check-toml
+  - id: check-yaml
+  - id: end-of-file-fixer
+  - id: trailing-whitespace
+  - id: detect-private-key
+- repo: https://github.com/astral-sh/ruff-pre-commit
+  rev: v0.12.0
+  hooks:
+    # Run the linter.
+    - id: ruff
+      types_or: [ python, pyi, jupyter ]
+      args: [ --fix, --show-fixes ]
+    # Run the formatter.
+    - id: ruff-format
+      types_or: [ python, pyi, jupyter ]
diff --git a/CHANGELOG.md b/CHANGELOG.md
index d1ba2f4..23ffa94 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,6 +2,13 @@
 
 ## [unreleased]
 
+## [1.0.0] 2025-06-21
+### Changed
+- Updated for rebranding
+
+### Fixed
+- Compatibility with newer versions of Seaborn
+
 ## [0.0.1] 2022-11-08
 ### Added
 - The first release! :tada:
diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md
index 874564e..0f355d6 100644
--- a/CODE_OF_CONDUCT.md
+++ b/CODE_OF_CONDUCT.md
@@ -120,4 +120,3 @@ version 2.0, available at
 
 [homepage]: https://www.contributor-covenant.org
 [v2.0]: https://www.contributor-covenant.org/version/2/0/code_of_conduct.html
-
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index cc2793b..08af824 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -19,7 +19,7 @@ There are three exceptions to this:
 
 2. The Vignettes are created from Jupyter notebooks.
 
-3. The Code of Conduct, Release Notes, and this Contributing document are 
+3. The Code of Conduct, Release Notes, and this Contributing document are
    markdown files that live in the root of the vizta repository.
 
 ### Editing most documents
@@ -39,7 +39,7 @@ way.
 
 ## Contributing to the code
 
-We welcome contributions to the source code of vizta---particularly 
+We welcome contributions to the source code of vizta---particularly
 ones that address discussed [issues](https://github.com/TalusBio/vizta/issues).
 
 Contributions to vizta follow a standard GitHub contribution workflow:
diff --git a/codecov.yml b/codecov.yml
deleted file mode 100644
index 0d24ede..0000000
--- a/codecov.yml
+++ /dev/null
@@ -1,6 +0,0 @@
-# Only allow commits that increase or maintain test coverage.
-coverage:
-  status:
-    project:
-      default:
-        target: auto  # auto compares coverage to the previous base commit
diff --git a/docs/api.md b/docs/api.md
index 576973f..5276485 100644
--- a/docs/api.md
+++ b/docs/api.md
@@ -1,4 +1,3 @@
 # API reference
 
 ::: vizta.mpl.set_theme
-
diff --git a/docs/index.ipynb b/docs/index.ipynb
index e4afa0a..dfc6141 100644
--- a/docs/index.ipynb
+++ b/docs/index.ipynb
@@ -24,6 +24,12 @@
     "pip install git+https://github.com/TalusBio/vizta.git\n",
     "```\n",
     "\n",
+    "You will also need to install any fonts used by your theme.\n",
+    "For the `talusbio` theme, this is \"Host Grotesk\", which on a Mac can easily be installed with Homebrew:\n",
+    "```\n",
+    "brew install --cask font-host-grotesk\n",
+    "```\n",
+    "\n",
     "## Usage\n",
     "\n",
     "### Theme your matplotlib plots for Talus Bio\n",
@@ -41,14 +47,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -56,11 +60,12 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
+    "\n",
     "def make_plot():\n",
     "    \"\"\"Create a plot with random data\"\"\"\n",
     "    rng = np.random.default_rng(42)  # To generate random number\n",
     "    plt.figure()\n",
-    "    \n",
+    "\n",
     "    xdata = np.arange(100) / 100\n",
     "    plt.plot(xdata, xdata + rng.random(100), label=\"Series 1\")\n",
     "    plt.plot(xdata, xdata + rng.random(100) + 0.5, label=\"Series 2\")\n",
@@ -69,7 +74,8 @@
     "    plt.ylabel(\"My y-axis label\")\n",
     "    plt.tight_layout()\n",
     "    plt.show()\n",
-    "    \n",
+    "\n",
+    "\n",
     "make_plot()"
    ]
   },
@@ -89,9 +95,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -99,10 +105,10 @@
     }
    ],
    "source": [
-    "import vizta           # First import vizta\n",
+    "import vizta  # First import vizta\n",
     "\n",
     "vizta.mpl.set_theme()  # Set the theme\n",
-    "make_plot()            # Then make the plot again"
+    "make_plot()  # Then make the plot again"
    ]
   },
   {
@@ -123,9 +129,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -134,7 +140,7 @@
    ],
    "source": [
     "vizta.mpl.set_theme(context=\"talk\")  # Set the theme for a talk\n",
-    "make_plot()                          # Then make the plot again"
+    "make_plot()  # Then make the plot again"
    ]
   },
   {
@@ -157,15 +163,15 @@
     {
      "data": {
       "text/html": [
-       "<svg  width=\"330\" height=\"55\"><rect x=\"0\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#308aad;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"55\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#c8102e;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"110\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#96d8d8;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"165\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#b2ee79;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"220\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#308aad;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"275\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#c8102e;stroke-width:2;stroke:rgb(255,255,255)\"/></svg>"
+       "<svg  width=\"330\" height=\"55\"><rect x=\"0\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#64c0ca;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"55\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#0086bb;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"110\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#0049be;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"165\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#684ae1;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"220\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#64c0ca;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"275\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#0086bb;stroke-width:2;stroke:rgb(255,255,255)\"/></svg>"
       ],
       "text/plain": [
-       "[(0.18823529411764706, 0.5411764705882353, 0.6784313725490196),\n",
-       " (0.7843137254901961, 0.06274509803921569, 0.1803921568627451),\n",
-       " (0.5882352941176471, 0.8470588235294118, 0.8470588235294118),\n",
-       " (0.6980392156862745, 0.9333333333333333, 0.4745098039215686),\n",
-       " (0.18823529411764706, 0.5411764705882353, 0.6784313725490196),\n",
-       " (0.7843137254901961, 0.06274509803921569, 0.1803921568627451)]"
+       "[(0.39215686274509803, 0.7529411764705882, 0.792156862745098),\n",
+       " (0.0, 0.5254901960784314, 0.7333333333333333),\n",
+       " (0.0, 0.28627450980392155, 0.7450980392156863),\n",
+       " (0.40784313725490196, 0.2901960784313726, 0.8823529411764706),\n",
+       " (0.39215686274509803, 0.7529411764705882, 0.792156862745098),\n",
+       " (0.0, 0.5254901960784314, 0.7333333333333333)]"
       ]
      },
      "execution_count": 4,
@@ -200,9 +206,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 432x216 with 2 Axes>"
+       "<Figure size 600x300 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -210,7 +216,6 @@
     }
    ],
    "source": [
-    "import matplotlib.pyplot as plt\n",
     "import vizta\n",
     "\n",
     "vizta.mpl.set_theme()\n",
@@ -240,7 +245,7 @@
     {
      "data": {
       "text/plain": [
-       "<Figure size 432x288 with 0 Axes>"
+       "<Figure size 640x480 with 0 Axes>"
       ]
      },
      "metadata": {},
@@ -248,7 +253,7 @@
     }
    ],
    "source": [
-    "plt.savefig(\"my-figure.png\", dpi=72)   # Good for web\n",
+    "plt.savefig(\"my-figure.png\", dpi=72)  # Good for web\n",
     "plt.savefig(\"my-figure.png\", dpi=300)  # Good for print"
    ]
   },
@@ -277,7 +282,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.13"
+   "version": "3.12.8"
   }
  },
  "nbformat": 4,
diff --git a/pyproject.toml b/pyproject.toml
index 4c79f58..774d81b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -11,9 +11,8 @@ classifiers = [
     "Programming Language :: Python :: 3",
     "License :: OSI Approved :: Apache Software License",
     "Operating System :: OS Independent",
-    "Topic :: Scientific/Engineering :: Bio-Informatics",
 ]
-requires-python = ">=3.6"
+requires-python = ">=3.12"
 dependencies = [
     "matplotlib>=3.5.1",
     "seaborn>=0.11.2",
@@ -30,19 +29,6 @@ Documentation = "https://TalusBio.github.io/vizta"
 "Bug Tracker" = "https://github.com/TalusBio/vizta/issues"
 "Discussion Board" = "https://github.com/TalusBio/vizta/discussions"
 
-[project.optional-dependencies]
-docs = [
-    "mkdocs>=1.3.0",
-    "mkdocstrings[python]>=0.18.1",
-    "mkdocs-material>=8.2.1",
-    "mkdocs-jupyter>=0.20.1",
-    "ipykernel>=6.12.1",
-]
-dev = [
-    "pre-commit>=2.7.1",
-    "black>=19.10b0",
-]
-
 [tool.setuptools]
 include-package-data = false
 
@@ -53,24 +39,16 @@ find = {namespaces = false}
 
 [tool.black]
 line-length = 79
-target-version = ['py37']
-include = '\.pyi?$'
-exclude = '''
+target-version = ['py312']
 
-(
-  /(
-      \.eggs         # exclude a few common directories in the
-    | \.git          # root of the project
-    | \.hg
-    | \.mypy_cache
-    | \.tox
-    | \.venv
-    | _build
-    | buck-out
-    | build
-    | dist
-  )/
-  | foo.py           # also separately exclude a file named foo.py in
-                     # the root of the project
-)
-'''
+[dependency-groups]
+dev = [
+    "pytest>=8.4.1",
+]
+docs = [
+    "mkdocs>=1.3.0",
+    "mkdocstrings[python]>=0.18.1",
+    "mkdocs-material>=8.2.1",
+    "mkdocs-jupyter>=0.20.1",
+    "ipykernel>=6.12.1",
+]
diff --git a/tests/unit_tests/test_mpl_themes.py b/tests/unit_tests/test_mpl_themes.py
index cceab5d..1042081 100644
--- a/tests/unit_tests/test_mpl_themes.py
+++ b/tests/unit_tests/test_mpl_themes.py
@@ -1,4 +1,5 @@
 """Test matplotlib themes"""
+
 import pytest
 import vizta
 
diff --git a/tests/unit_tests/test_palettes.py b/tests/unit_tests/test_palettes.py
index f64ccd7..cec14a2 100644
--- a/tests/unit_tests/test_palettes.py
+++ b/tests/unit_tests/test_palettes.py
@@ -3,17 +3,17 @@
 
 def test_vizta_first():
     """Test when importing vizta before seaborn"""
-    import vizta
+    import vizta  # noqa: F401
     import seaborn as sns
 
     sns.color_palette("talusbio")
     sns.color_palette("wfondrie")
 
 
-def test_vizta_first():
-    """Test when importing vizta before seaborn"""
+def test_vizta_second():
+    """Test when importing vizta after seaborn"""
     import seaborn as sns
-    import vizta
+    import vizta  # noqa: F401
 
     sns.color_palette("talusbio")
     sns.color_palette("wfondrie")
diff --git a/tests/unit_tests/test_version.py b/tests/unit_tests/test_version.py
index d76fe98..dfd86f8 100644
--- a/tests/unit_tests/test_version.py
+++ b/tests/unit_tests/test_version.py
@@ -1,4 +1,5 @@
 """Test that setuptools-scm is working correctly"""
+
 import vizta
 
 
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 0000000..076001e
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,1586 @@
+version = 1
+revision = 2
+requires-python = ">=3.12"
+
+[[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 = "asttokens"
+version = "3.0.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/4a/e7/82da0a03e7ba5141f05cce0d302e6eed121ae055e0456ca228bf693984bc/asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7", size = 61978, upload-time = "2024-11-30T04:30:14.439Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/25/8a/c46dcc25341b5bce5472c718902eb3d38600a903b14fa6aeecef3f21a46f/asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2", size = 26918, upload-time = "2024-11-30T04:30:10.946Z" },
+]
+
+[[package]]
+name = "attrs"
+version = "25.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/5a/b0/1367933a8532ee6ff8d63537de4f1177af4bff9f3e829baf7331f595bb24/attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b", size = 812032, upload-time = "2025-03-13T11:10:22.779Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/77/06/bb80f5f86020c4551da315d78b3ab75e8228f89f0162f2c3a819e407941a/attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3", size = 63815, upload-time = "2025-03-13T11:10:21.14Z" },
+]
+
+[[package]]
+name = "babel"
+version = "2.17.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/7d/6b/d52e42361e1aa00709585ecc30b3f9684b3ab62530771402248b1b1d6240/babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d", size = 9951852, upload-time = "2025-02-01T15:17:41.026Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b7/b8/3fe70c75fe32afc4bb507f75563d39bc5642255d1d94f1f23604725780bf/babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2", size = 10182537, upload-time = "2025-02-01T15:17:37.39Z" },
+]
+
+[[package]]
+name = "backrefs"
+version = "5.8"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/6c/46/caba1eb32fa5784428ab401a5487f73db4104590ecd939ed9daaf18b47e0/backrefs-5.8.tar.gz", hash = "sha256:2cab642a205ce966af3dd4b38ee36009b31fa9502a35fd61d59ccc116e40a6bd", size = 6773994, upload-time = "2025-02-25T18:15:32.003Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/bf/cb/d019ab87fe70e0fe3946196d50d6a4428623dc0c38a6669c8cae0320fbf3/backrefs-5.8-py310-none-any.whl", hash = "sha256:c67f6638a34a5b8730812f5101376f9d41dc38c43f1fdc35cb54700f6ed4465d", size = 380337, upload-time = "2025-02-25T16:53:14.607Z" },
+    { url = "https://files.pythonhosted.org/packages/a9/86/abd17f50ee21b2248075cb6924c6e7f9d23b4925ca64ec660e869c2633f1/backrefs-5.8-py311-none-any.whl", hash = "sha256:2e1c15e4af0e12e45c8701bd5da0902d326b2e200cafcd25e49d9f06d44bb61b", size = 392142, upload-time = "2025-02-25T16:53:17.266Z" },
+    { url = "https://files.pythonhosted.org/packages/b3/04/7b415bd75c8ab3268cc138c76fa648c19495fcc7d155508a0e62f3f82308/backrefs-5.8-py312-none-any.whl", hash = "sha256:bbef7169a33811080d67cdf1538c8289f76f0942ff971222a16034da88a73486", size = 398021, upload-time = "2025-02-25T16:53:26.378Z" },
+    { url = "https://files.pythonhosted.org/packages/04/b8/60dcfb90eb03a06e883a92abbc2ab95c71f0d8c9dd0af76ab1d5ce0b1402/backrefs-5.8-py313-none-any.whl", hash = "sha256:e3a63b073867dbefd0536425f43db618578528e3896fb77be7141328642a1585", size = 399915, upload-time = "2025-02-25T16:53:28.167Z" },
+    { url = "https://files.pythonhosted.org/packages/0c/37/fb6973edeb700f6e3d6ff222400602ab1830446c25c7b4676d8de93e65b8/backrefs-5.8-py39-none-any.whl", hash = "sha256:a66851e4533fb5b371aa0628e1fee1af05135616b86140c9d787a2ffdf4b8fdc", size = 380336, upload-time = "2025-02-25T16:53:29.858Z" },
+]
+
+[[package]]
+name = "beautifulsoup4"
+version = "4.13.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "soupsieve" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/d8/e4/0c4c39e18fd76d6a628d4dd8da40543d136ce2d1752bd6eeeab0791f4d6b/beautifulsoup4-4.13.4.tar.gz", hash = "sha256:dbb3c4e1ceae6aefebdaf2423247260cd062430a410e38c66f2baa50a8437195", size = 621067, upload-time = "2025-04-15T17:05:13.836Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/50/cd/30110dc0ffcf3b131156077b90e9f60ed75711223f306da4db08eff8403b/beautifulsoup4-4.13.4-py3-none-any.whl", hash = "sha256:9bbbb14bfde9d79f38b8cd5f8c7c85f4b8f2523190ebed90e950a8dea4cb1c4b", size = 187285, upload-time = "2025-04-15T17:05:12.221Z" },
+]
+
+[[package]]
+name = "bleach"
+version = "6.2.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "webencodings" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/76/9a/0e33f5054c54d349ea62c277191c020c2d6ef1d65ab2cb1993f91ec846d1/bleach-6.2.0.tar.gz", hash = "sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f", size = 203083, upload-time = "2024-10-29T18:30:40.477Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fc/55/96142937f66150805c25c4d0f31ee4132fd33497753400734f9dfdcbdc66/bleach-6.2.0-py3-none-any.whl", hash = "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e", size = 163406, upload-time = "2024-10-29T18:30:38.186Z" },
+]
+
+[package.optional-dependencies]
+css = [
+    { name = "tinycss2" },
+]
+
+[[package]]
+name = "certifi"
+version = "2025.6.15"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/73/f7/f14b46d4bcd21092d7d3ccef689615220d8a08fb25e564b65d20738e672e/certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b", size = 158753, upload-time = "2025-06-15T02:45:51.329Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/84/ae/320161bd181fc06471eed047ecce67b693fd7515b16d495d8932db763426/certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057", size = 157650, upload-time = "2025-06-15T02:45:49.977Z" },
+]
+
+[[package]]
+name = "cffi"
+version = "1.17.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pycparser" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/fc/97/c783634659c2920c3fc70419e3af40972dbaf758daa229a7d6ea6135c90d/cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824", size = 516621, upload-time = "2024-09-04T20:45:21.852Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/5a/84/e94227139ee5fb4d600a7a4927f322e1d4aea6fdc50bd3fca8493caba23f/cffi-1.17.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:805b4371bf7197c329fcb3ead37e710d1bca9da5d583f5073b799d5c5bd1eee4", size = 183178, upload-time = "2024-09-04T20:44:12.232Z" },
+    { url = "https://files.pythonhosted.org/packages/da/ee/fb72c2b48656111c4ef27f0f91da355e130a923473bf5ee75c5643d00cca/cffi-1.17.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:733e99bc2df47476e3848417c5a4540522f234dfd4ef3ab7fafdf555b082ec0c", size = 178840, upload-time = "2024-09-04T20:44:13.739Z" },
+    { url = "https://files.pythonhosted.org/packages/cc/b6/db007700f67d151abadf508cbfd6a1884f57eab90b1bb985c4c8c02b0f28/cffi-1.17.1-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1257bdabf294dceb59f5e70c64a3e2f462c30c7ad68092d01bbbfb1c16b1ba36", size = 454803, upload-time = "2024-09-04T20:44:15.231Z" },
+    { url = "https://files.pythonhosted.org/packages/1a/df/f8d151540d8c200eb1c6fba8cd0dfd40904f1b0682ea705c36e6c2e97ab3/cffi-1.17.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:da95af8214998d77a98cc14e3a3bd00aa191526343078b530ceb0bd710fb48a5", size = 478850, upload-time = "2024-09-04T20:44:17.188Z" },
+    { url = "https://files.pythonhosted.org/packages/28/c0/b31116332a547fd2677ae5b78a2ef662dfc8023d67f41b2a83f7c2aa78b1/cffi-1.17.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d63afe322132c194cf832bfec0dc69a99fb9bb6bbd550f161a49e9e855cc78ff", size = 485729, upload-time = "2024-09-04T20:44:18.688Z" },
+    { url = "https://files.pythonhosted.org/packages/91/2b/9a1ddfa5c7f13cab007a2c9cc295b70fbbda7cb10a286aa6810338e60ea1/cffi-1.17.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f79fc4fc25f1c8698ff97788206bb3c2598949bfe0fef03d299eb1b5356ada99", size = 471256, upload-time = "2024-09-04T20:44:20.248Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/d5/da47df7004cb17e4955df6a43d14b3b4ae77737dff8bf7f8f333196717bf/cffi-1.17.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b62ce867176a75d03a665bad002af8e6d54644fad99a3c70905c543130e39d93", size = 479424, upload-time = "2024-09-04T20:44:21.673Z" },
+    { url = "https://files.pythonhosted.org/packages/0b/ac/2a28bcf513e93a219c8a4e8e125534f4f6db03e3179ba1c45e949b76212c/cffi-1.17.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:386c8bf53c502fff58903061338ce4f4950cbdcb23e2902d86c0f722b786bbe3", size = 484568, upload-time = "2024-09-04T20:44:23.245Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/38/ca8a4f639065f14ae0f1d9751e70447a261f1a30fa7547a828ae08142465/cffi-1.17.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4ceb10419a9adf4460ea14cfd6bc43d08701f0835e979bf821052f1805850fe8", size = 488736, upload-time = "2024-09-04T20:44:24.757Z" },
+    { url = "https://files.pythonhosted.org/packages/86/c5/28b2d6f799ec0bdecf44dced2ec5ed43e0eb63097b0f58c293583b406582/cffi-1.17.1-cp312-cp312-win32.whl", hash = "sha256:a08d7e755f8ed21095a310a693525137cfe756ce62d066e53f502a83dc550f65", size = 172448, upload-time = "2024-09-04T20:44:26.208Z" },
+    { url = "https://files.pythonhosted.org/packages/50/b9/db34c4755a7bd1cb2d1603ac3863f22bcecbd1ba29e5ee841a4bc510b294/cffi-1.17.1-cp312-cp312-win_amd64.whl", hash = "sha256:51392eae71afec0d0c8fb1a53b204dbb3bcabcb3c9b807eedf3e1e6ccf2de903", size = 181976, upload-time = "2024-09-04T20:44:27.578Z" },
+    { url = "https://files.pythonhosted.org/packages/8d/f8/dd6c246b148639254dad4d6803eb6a54e8c85c6e11ec9df2cffa87571dbe/cffi-1.17.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:f3a2b4222ce6b60e2e8b337bb9596923045681d71e5a082783484d845390938e", size = 182989, upload-time = "2024-09-04T20:44:28.956Z" },
+    { url = "https://files.pythonhosted.org/packages/8b/f1/672d303ddf17c24fc83afd712316fda78dc6fce1cd53011b839483e1ecc8/cffi-1.17.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:0984a4925a435b1da406122d4d7968dd861c1385afe3b45ba82b750f229811e2", size = 178802, upload-time = "2024-09-04T20:44:30.289Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/2d/eab2e858a91fdff70533cab61dcff4a1f55ec60425832ddfdc9cd36bc8af/cffi-1.17.1-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d01b12eeeb4427d3110de311e1774046ad344f5b1a7403101878976ecd7a10f3", size = 454792, upload-time = "2024-09-04T20:44:32.01Z" },
+    { url = "https://files.pythonhosted.org/packages/75/b2/fbaec7c4455c604e29388d55599b99ebcc250a60050610fadde58932b7ee/cffi-1.17.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:706510fe141c86a69c8ddc029c7910003a17353970cff3b904ff0686a5927683", size = 478893, upload-time = "2024-09-04T20:44:33.606Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/b7/6e4a2162178bf1935c336d4da8a9352cccab4d3a5d7914065490f08c0690/cffi-1.17.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de55b766c7aa2e2a3092c51e0483d700341182f08e67c63630d5b6f200bb28e5", size = 485810, upload-time = "2024-09-04T20:44:35.191Z" },
+    { url = "https://files.pythonhosted.org/packages/c7/8a/1d0e4a9c26e54746dc08c2c6c037889124d4f59dffd853a659fa545f1b40/cffi-1.17.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c59d6e989d07460165cc5ad3c61f9fd8f1b4796eacbd81cee78957842b834af4", size = 471200, upload-time = "2024-09-04T20:44:36.743Z" },
+    { url = "https://files.pythonhosted.org/packages/26/9f/1aab65a6c0db35f43c4d1b4f580e8df53914310afc10ae0397d29d697af4/cffi-1.17.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd398dbc6773384a17fe0d3e7eeb8d1a21c2200473ee6806bb5e6a8e62bb73dd", size = 479447, upload-time = "2024-09-04T20:44:38.492Z" },
+    { url = "https://files.pythonhosted.org/packages/5f/e4/fb8b3dd8dc0e98edf1135ff067ae070bb32ef9d509d6cb0f538cd6f7483f/cffi-1.17.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:3edc8d958eb099c634dace3c7e16560ae474aa3803a5df240542b305d14e14ed", size = 484358, upload-time = "2024-09-04T20:44:40.046Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/47/d7145bf2dc04684935d57d67dff9d6d795b2ba2796806bb109864be3a151/cffi-1.17.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:72e72408cad3d5419375fc87d289076ee319835bdfa2caad331e377589aebba9", size = 488469, upload-time = "2024-09-04T20:44:41.616Z" },
+    { url = "https://files.pythonhosted.org/packages/bf/ee/f94057fa6426481d663b88637a9a10e859e492c73d0384514a17d78ee205/cffi-1.17.1-cp313-cp313-win32.whl", hash = "sha256:e03eab0a8677fa80d646b5ddece1cbeaf556c313dcfac435ba11f107ba117b5d", size = 172475, upload-time = "2024-09-04T20:44:43.733Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/fc/6a8cb64e5f0324877d503c854da15d76c1e50eb722e320b15345c4d0c6de/cffi-1.17.1-cp313-cp313-win_amd64.whl", hash = "sha256:f6a16c31041f09ead72d69f583767292f750d24913dadacf5756b966aacb3f1a", size = 182009, upload-time = "2024-09-04T20:44:45.309Z" },
+]
+
+[[package]]
+name = "charset-normalizer"
+version = "3.4.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e4/33/89c2ced2b67d1c2a61c19c6751aa8902d46ce3dacb23600a283619f5a12d/charset_normalizer-3.4.2.tar.gz", hash = "sha256:5baececa9ecba31eff645232d59845c07aa030f0c81ee70184a90d35099a0e63", size = 126367, upload-time = "2025-05-02T08:34:42.01Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d7/a4/37f4d6035c89cac7930395a35cc0f1b872e652eaafb76a6075943754f095/charset_normalizer-3.4.2-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:0c29de6a1a95f24b9a1aa7aefd27d2487263f00dfd55a77719b530788f75cff7", size = 199936, upload-time = "2025-05-02T08:32:33.712Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/8a/1a5e33b73e0d9287274f899d967907cd0bf9c343e651755d9307e0dbf2b3/charset_normalizer-3.4.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cddf7bd982eaa998934a91f69d182aec997c6c468898efe6679af88283b498d3", size = 143790, upload-time = "2025-05-02T08:32:35.768Z" },
+    { url = "https://files.pythonhosted.org/packages/66/52/59521f1d8e6ab1482164fa21409c5ef44da3e9f653c13ba71becdd98dec3/charset_normalizer-3.4.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fcbe676a55d7445b22c10967bceaaf0ee69407fbe0ece4d032b6eb8d4565982a", size = 153924, upload-time = "2025-05-02T08:32:37.284Z" },
+    { url = "https://files.pythonhosted.org/packages/86/2d/fb55fdf41964ec782febbf33cb64be480a6b8f16ded2dbe8db27a405c09f/charset_normalizer-3.4.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d41c4d287cfc69060fa91cae9683eacffad989f1a10811995fa309df656ec214", size = 146626, upload-time = "2025-05-02T08:32:38.803Z" },
+    { url = "https://files.pythonhosted.org/packages/8c/73/6ede2ec59bce19b3edf4209d70004253ec5f4e319f9a2e3f2f15601ed5f7/charset_normalizer-3.4.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4e594135de17ab3866138f496755f302b72157d115086d100c3f19370839dd3a", size = 148567, upload-time = "2025-05-02T08:32:40.251Z" },
+    { url = "https://files.pythonhosted.org/packages/09/14/957d03c6dc343c04904530b6bef4e5efae5ec7d7990a7cbb868e4595ee30/charset_normalizer-3.4.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cf713fe9a71ef6fd5adf7a79670135081cd4431c2943864757f0fa3a65b1fafd", size = 150957, upload-time = "2025-05-02T08:32:41.705Z" },
+    { url = "https://files.pythonhosted.org/packages/0d/c8/8174d0e5c10ccebdcb1b53cc959591c4c722a3ad92461a273e86b9f5a302/charset_normalizer-3.4.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a370b3e078e418187da8c3674eddb9d983ec09445c99a3a263c2011993522981", size = 145408, upload-time = "2025-05-02T08:32:43.709Z" },
+    { url = "https://files.pythonhosted.org/packages/58/aa/8904b84bc8084ac19dc52feb4f5952c6df03ffb460a887b42615ee1382e8/charset_normalizer-3.4.2-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:a955b438e62efdf7e0b7b52a64dc5c3396e2634baa62471768a64bc2adb73d5c", size = 153399, upload-time = "2025-05-02T08:32:46.197Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/26/89ee1f0e264d201cb65cf054aca6038c03b1a0c6b4ae998070392a3ce605/charset_normalizer-3.4.2-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:7222ffd5e4de8e57e03ce2cef95a4c43c98fcb72ad86909abdfc2c17d227fc1b", size = 156815, upload-time = "2025-05-02T08:32:48.105Z" },
+    { url = "https://files.pythonhosted.org/packages/fd/07/68e95b4b345bad3dbbd3a8681737b4338ff2c9df29856a6d6d23ac4c73cb/charset_normalizer-3.4.2-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:bee093bf902e1d8fc0ac143c88902c3dfc8941f7ea1d6a8dd2bcb786d33db03d", size = 154537, upload-time = "2025-05-02T08:32:49.719Z" },
+    { url = "https://files.pythonhosted.org/packages/77/1a/5eefc0ce04affb98af07bc05f3bac9094513c0e23b0562d64af46a06aae4/charset_normalizer-3.4.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:dedb8adb91d11846ee08bec4c8236c8549ac721c245678282dcb06b221aab59f", size = 149565, upload-time = "2025-05-02T08:32:51.404Z" },
+    { url = "https://files.pythonhosted.org/packages/37/a0/2410e5e6032a174c95e0806b1a6585eb21e12f445ebe239fac441995226a/charset_normalizer-3.4.2-cp312-cp312-win32.whl", hash = "sha256:db4c7bf0e07fc3b7d89ac2a5880a6a8062056801b83ff56d8464b70f65482b6c", size = 98357, upload-time = "2025-05-02T08:32:53.079Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/4f/c02d5c493967af3eda9c771ad4d2bbc8df6f99ddbeb37ceea6e8716a32bc/charset_normalizer-3.4.2-cp312-cp312-win_amd64.whl", hash = "sha256:5a9979887252a82fefd3d3ed2a8e3b937a7a809f65dcb1e068b090e165bbe99e", size = 105776, upload-time = "2025-05-02T08:32:54.573Z" },
+    { url = "https://files.pythonhosted.org/packages/ea/12/a93df3366ed32db1d907d7593a94f1fe6293903e3e92967bebd6950ed12c/charset_normalizer-3.4.2-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:926ca93accd5d36ccdabd803392ddc3e03e6d4cd1cf17deff3b989ab8e9dbcf0", size = 199622, upload-time = "2025-05-02T08:32:56.363Z" },
+    { url = "https://files.pythonhosted.org/packages/04/93/bf204e6f344c39d9937d3c13c8cd5bbfc266472e51fc8c07cb7f64fcd2de/charset_normalizer-3.4.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eba9904b0f38a143592d9fc0e19e2df0fa2e41c3c3745554761c5f6447eedabf", size = 143435, upload-time = "2025-05-02T08:32:58.551Z" },
+    { url = "https://files.pythonhosted.org/packages/22/2a/ea8a2095b0bafa6c5b5a55ffdc2f924455233ee7b91c69b7edfcc9e02284/charset_normalizer-3.4.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3fddb7e2c84ac87ac3a947cb4e66d143ca5863ef48e4a5ecb83bd48619e4634e", size = 153653, upload-time = "2025-05-02T08:33:00.342Z" },
+    { url = "https://files.pythonhosted.org/packages/b6/57/1b090ff183d13cef485dfbe272e2fe57622a76694061353c59da52c9a659/charset_normalizer-3.4.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:98f862da73774290f251b9df8d11161b6cf25b599a66baf087c1ffe340e9bfd1", size = 146231, upload-time = "2025-05-02T08:33:02.081Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/28/ffc026b26f441fc67bd21ab7f03b313ab3fe46714a14b516f931abe1a2d8/charset_normalizer-3.4.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c9379d65defcab82d07b2a9dfbfc2e95bc8fe0ebb1b176a3190230a3ef0e07c", size = 148243, upload-time = "2025-05-02T08:33:04.063Z" },
+    { url = "https://files.pythonhosted.org/packages/c0/0f/9abe9bd191629c33e69e47c6ef45ef99773320e9ad8e9cb08b8ab4a8d4cb/charset_normalizer-3.4.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e635b87f01ebc977342e2697d05b56632f5f879a4f15955dfe8cef2448b51691", size = 150442, upload-time = "2025-05-02T08:33:06.418Z" },
+    { url = "https://files.pythonhosted.org/packages/67/7c/a123bbcedca91d5916c056407f89a7f5e8fdfce12ba825d7d6b9954a1a3c/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:1c95a1e2902a8b722868587c0e1184ad5c55631de5afc0eb96bc4b0d738092c0", size = 145147, upload-time = "2025-05-02T08:33:08.183Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/fe/1ac556fa4899d967b83e9893788e86b6af4d83e4726511eaaad035e36595/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ef8de666d6179b009dce7bcb2ad4c4a779f113f12caf8dc77f0162c29d20490b", size = 153057, upload-time = "2025-05-02T08:33:09.986Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/ff/acfc0b0a70b19e3e54febdd5301a98b72fa07635e56f24f60502e954c461/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:32fc0341d72e0f73f80acb0a2c94216bd704f4f0bce10aedea38f30502b271ff", size = 156454, upload-time = "2025-05-02T08:33:11.814Z" },
+    { url = "https://files.pythonhosted.org/packages/92/08/95b458ce9c740d0645feb0e96cea1f5ec946ea9c580a94adfe0b617f3573/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:289200a18fa698949d2b39c671c2cc7a24d44096784e76614899a7ccf2574b7b", size = 154174, upload-time = "2025-05-02T08:33:13.707Z" },
+    { url = "https://files.pythonhosted.org/packages/78/be/8392efc43487ac051eee6c36d5fbd63032d78f7728cb37aebcc98191f1ff/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4a476b06fbcf359ad25d34a057b7219281286ae2477cc5ff5e3f70a246971148", size = 149166, upload-time = "2025-05-02T08:33:15.458Z" },
+    { url = "https://files.pythonhosted.org/packages/44/96/392abd49b094d30b91d9fbda6a69519e95802250b777841cf3bda8fe136c/charset_normalizer-3.4.2-cp313-cp313-win32.whl", hash = "sha256:aaeeb6a479c7667fbe1099af9617c83aaca22182d6cf8c53966491a0f1b7ffb7", size = 98064, upload-time = "2025-05-02T08:33:17.06Z" },
+    { url = "https://files.pythonhosted.org/packages/e9/b0/0200da600134e001d91851ddc797809e2fe0ea72de90e09bec5a2fbdaccb/charset_normalizer-3.4.2-cp313-cp313-win_amd64.whl", hash = "sha256:aa6af9e7d59f9c12b33ae4e9450619cf2488e2bbe9b44030905877f0b2324980", size = 105641, upload-time = "2025-05-02T08:33:18.753Z" },
+    { url = "https://files.pythonhosted.org/packages/20/94/c5790835a017658cbfabd07f3bfb549140c3ac458cfc196323996b10095a/charset_normalizer-3.4.2-py3-none-any.whl", hash = "sha256:7f56930ab0abd1c45cd15be65cc741c28b1c9a34876ce8c17a2fa107810c0af0", size = 52626, upload-time = "2025-05-02T08:34:40.053Z" },
+]
+
+[[package]]
+name = "click"
+version = "8.2.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/60/6c/8ca2efa64cf75a977a0d7fac081354553ebe483345c734fb6b6515d96bbc/click-8.2.1.tar.gz", hash = "sha256:27c491cc05d968d271d5a1db13e3b5a184636d9d930f148c50b038f0d0646202", size = 286342, upload-time = "2025-05-20T23:19:49.832Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/85/32/10bb5764d90a8eee674e9dc6f4db6a0ab47c8c4d0d83c27f7c39ac415a4d/click-8.2.1-py3-none-any.whl", hash = "sha256:61a3265b914e850b85317d0b3109c7f8cd35a670f963866005d6ef1d5175a12b", size = 102215, upload-time = "2025-05-20T23:19:47.796Z" },
+]
+
+[[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 = "0.2.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/e9/a8/fb783cb0abe2b5fded9f55e5703015cdf1c9c85b3669087c538dd15a6a86/comm-0.2.2.tar.gz", hash = "sha256:3fd7a84065306e07bea1773df6eb8282de51ba82f77c72f9c85716ab11fe980e", size = 6210, upload-time = "2024-03-12T16:53:41.133Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e6/75/49e5bfe642f71f272236b5b2d2691cf915a7283cc0ceda56357b61daa538/comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3", size = 7180, upload-time = "2024-03-12T16:53:39.226Z" },
+]
+
+[[package]]
+name = "contourpy"
+version = "1.3.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/66/54/eb9bfc647b19f2009dd5c7f5ec51c4e6ca831725f1aea7a993034f483147/contourpy-1.3.2.tar.gz", hash = "sha256:b6945942715a034c671b7fc54f9588126b0b8bf23db2696e3ca8328f3ff0ab54", size = 13466130, upload-time = "2025-04-15T17:47:53.79Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/34/f7/44785876384eff370c251d58fd65f6ad7f39adce4a093c934d4a67a7c6b6/contourpy-1.3.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:4caf2bcd2969402bf77edc4cb6034c7dd7c0803213b3523f111eb7460a51b8d2", size = 271580, upload-time = "2025-04-15T17:37:03.105Z" },
+    { url = "https://files.pythonhosted.org/packages/93/3b/0004767622a9826ea3d95f0e9d98cd8729015768075d61f9fea8eeca42a8/contourpy-1.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:82199cb78276249796419fe36b7386bd8d2cc3f28b3bc19fe2454fe2e26c4c15", size = 255530, upload-time = "2025-04-15T17:37:07.026Z" },
+    { url = "https://files.pythonhosted.org/packages/e7/bb/7bd49e1f4fa805772d9fd130e0d375554ebc771ed7172f48dfcd4ca61549/contourpy-1.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:106fab697af11456fcba3e352ad50effe493a90f893fca6c2ca5c033820cea92", size = 307688, upload-time = "2025-04-15T17:37:11.481Z" },
+    { url = "https://files.pythonhosted.org/packages/fc/97/e1d5dbbfa170725ef78357a9a0edc996b09ae4af170927ba8ce977e60a5f/contourpy-1.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d14f12932a8d620e307f715857107b1d1845cc44fdb5da2bc8e850f5ceba9f87", size = 347331, upload-time = "2025-04-15T17:37:18.212Z" },
+    { url = "https://files.pythonhosted.org/packages/6f/66/e69e6e904f5ecf6901be3dd16e7e54d41b6ec6ae3405a535286d4418ffb4/contourpy-1.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:532fd26e715560721bb0d5fc7610fce279b3699b018600ab999d1be895b09415", size = 318963, upload-time = "2025-04-15T17:37:22.76Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/32/b8a1c8965e4f72482ff2d1ac2cd670ce0b542f203c8e1d34e7c3e6925da7/contourpy-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f26b383144cf2d2c29f01a1e8170f50dacf0eac02d64139dcd709a8ac4eb3cfe", size = 323681, upload-time = "2025-04-15T17:37:33.001Z" },
+    { url = "https://files.pythonhosted.org/packages/30/c6/12a7e6811d08757c7162a541ca4c5c6a34c0f4e98ef2b338791093518e40/contourpy-1.3.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:c49f73e61f1f774650a55d221803b101d966ca0c5a2d6d5e4320ec3997489441", size = 1308674, upload-time = "2025-04-15T17:37:48.64Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/8a/bebe5a3f68b484d3a2b8ffaf84704b3e343ef1addea528132ef148e22b3b/contourpy-1.3.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3d80b2c0300583228ac98d0a927a1ba6a2ba6b8a742463c564f1d419ee5b211e", size = 1380480, upload-time = "2025-04-15T17:38:06.7Z" },
+    { url = "https://files.pythonhosted.org/packages/34/db/fcd325f19b5978fb509a7d55e06d99f5f856294c1991097534360b307cf1/contourpy-1.3.2-cp312-cp312-win32.whl", hash = "sha256:90df94c89a91b7362e1142cbee7568f86514412ab8a2c0d0fca72d7e91b62912", size = 178489, upload-time = "2025-04-15T17:38:10.338Z" },
+    { url = "https://files.pythonhosted.org/packages/01/c8/fadd0b92ffa7b5eb5949bf340a63a4a496a6930a6c37a7ba0f12acb076d6/contourpy-1.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:8c942a01d9163e2e5cfb05cb66110121b8d07ad438a17f9e766317bcb62abf73", size = 223042, upload-time = "2025-04-15T17:38:14.239Z" },
+    { url = "https://files.pythonhosted.org/packages/2e/61/5673f7e364b31e4e7ef6f61a4b5121c5f170f941895912f773d95270f3a2/contourpy-1.3.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:de39db2604ae755316cb5967728f4bea92685884b1e767b7c24e983ef5f771cb", size = 271630, upload-time = "2025-04-15T17:38:19.142Z" },
+    { url = "https://files.pythonhosted.org/packages/ff/66/a40badddd1223822c95798c55292844b7e871e50f6bfd9f158cb25e0bd39/contourpy-1.3.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3f9e896f447c5c8618f1edb2bafa9a4030f22a575ec418ad70611450720b5b08", size = 255670, upload-time = "2025-04-15T17:38:23.688Z" },
+    { url = "https://files.pythonhosted.org/packages/1e/c7/cf9fdee8200805c9bc3b148f49cb9482a4e3ea2719e772602a425c9b09f8/contourpy-1.3.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:71e2bd4a1c4188f5c2b8d274da78faab884b59df20df63c34f74aa1813c4427c", size = 306694, upload-time = "2025-04-15T17:38:28.238Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/e7/ccb9bec80e1ba121efbffad7f38021021cda5be87532ec16fd96533bb2e0/contourpy-1.3.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de425af81b6cea33101ae95ece1f696af39446db9682a0b56daaa48cfc29f38f", size = 345986, upload-time = "2025-04-15T17:38:33.502Z" },
+    { url = "https://files.pythonhosted.org/packages/dc/49/ca13bb2da90391fa4219fdb23b078d6065ada886658ac7818e5441448b78/contourpy-1.3.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:977e98a0e0480d3fe292246417239d2d45435904afd6d7332d8455981c408b85", size = 318060, upload-time = "2025-04-15T17:38:38.672Z" },
+    { url = "https://files.pythonhosted.org/packages/c8/65/5245ce8c548a8422236c13ffcdcdada6a2a812c361e9e0c70548bb40b661/contourpy-1.3.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:434f0adf84911c924519d2b08fc10491dd282b20bdd3fa8f60fd816ea0b48841", size = 322747, upload-time = "2025-04-15T17:38:43.712Z" },
+    { url = "https://files.pythonhosted.org/packages/72/30/669b8eb48e0a01c660ead3752a25b44fdb2e5ebc13a55782f639170772f9/contourpy-1.3.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c66c4906cdbc50e9cba65978823e6e00b45682eb09adbb78c9775b74eb222422", size = 1308895, upload-time = "2025-04-15T17:39:00.224Z" },
+    { url = "https://files.pythonhosted.org/packages/05/5a/b569f4250decee6e8d54498be7bdf29021a4c256e77fe8138c8319ef8eb3/contourpy-1.3.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8b7fc0cd78ba2f4695fd0a6ad81a19e7e3ab825c31b577f384aa9d7817dc3bef", size = 1379098, upload-time = "2025-04-15T17:43:29.649Z" },
+    { url = "https://files.pythonhosted.org/packages/19/ba/b227c3886d120e60e41b28740ac3617b2f2b971b9f601c835661194579f1/contourpy-1.3.2-cp313-cp313-win32.whl", hash = "sha256:15ce6ab60957ca74cff444fe66d9045c1fd3e92c8936894ebd1f3eef2fff075f", size = 178535, upload-time = "2025-04-15T17:44:44.532Z" },
+    { url = "https://files.pythonhosted.org/packages/12/6e/2fed56cd47ca739b43e892707ae9a13790a486a3173be063681ca67d2262/contourpy-1.3.2-cp313-cp313-win_amd64.whl", hash = "sha256:e1578f7eafce927b168752ed7e22646dad6cd9bca673c60bff55889fa236ebf9", size = 223096, upload-time = "2025-04-15T17:44:48.194Z" },
+    { url = "https://files.pythonhosted.org/packages/54/4c/e76fe2a03014a7c767d79ea35c86a747e9325537a8b7627e0e5b3ba266b4/contourpy-1.3.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0475b1f6604896bc7c53bb070e355e9321e1bc0d381735421a2d2068ec56531f", size = 285090, upload-time = "2025-04-15T17:43:34.084Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/e2/5aba47debd55d668e00baf9651b721e7733975dc9fc27264a62b0dd26eb8/contourpy-1.3.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:c85bb486e9be652314bb5b9e2e3b0d1b2e643d5eec4992c0fbe8ac71775da739", size = 268643, upload-time = "2025-04-15T17:43:38.626Z" },
+    { url = "https://files.pythonhosted.org/packages/a1/37/cd45f1f051fe6230f751cc5cdd2728bb3a203f5619510ef11e732109593c/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:745b57db7758f3ffc05a10254edd3182a2a83402a89c00957a8e8a22f5582823", size = 310443, upload-time = "2025-04-15T17:43:44.522Z" },
+    { url = "https://files.pythonhosted.org/packages/8b/a2/36ea6140c306c9ff6dd38e3bcec80b3b018474ef4d17eb68ceecd26675f4/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:970e9173dbd7eba9b4e01aab19215a48ee5dd3f43cef736eebde064a171f89a5", size = 349865, upload-time = "2025-04-15T17:43:49.545Z" },
+    { url = "https://files.pythonhosted.org/packages/95/b7/2fc76bc539693180488f7b6cc518da7acbbb9e3b931fd9280504128bf956/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c6c4639a9c22230276b7bffb6a850dfc8258a2521305e1faefe804d006b2e532", size = 321162, upload-time = "2025-04-15T17:43:54.203Z" },
+    { url = "https://files.pythonhosted.org/packages/f4/10/76d4f778458b0aa83f96e59d65ece72a060bacb20cfbee46cf6cd5ceba41/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cc829960f34ba36aad4302e78eabf3ef16a3a100863f0d4eeddf30e8a485a03b", size = 327355, upload-time = "2025-04-15T17:44:01.025Z" },
+    { url = "https://files.pythonhosted.org/packages/43/a3/10cf483ea683f9f8ab096c24bad3cce20e0d1dd9a4baa0e2093c1c962d9d/contourpy-1.3.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:d32530b534e986374fc19eaa77fcb87e8a99e5431499949b828312bdcd20ac52", size = 1307935, upload-time = "2025-04-15T17:44:17.322Z" },
+    { url = "https://files.pythonhosted.org/packages/78/73/69dd9a024444489e22d86108e7b913f3528f56cfc312b5c5727a44188471/contourpy-1.3.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e298e7e70cf4eb179cc1077be1c725b5fd131ebc81181bf0c03525c8abc297fd", size = 1372168, upload-time = "2025-04-15T17:44:33.43Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/1b/96d586ccf1b1a9d2004dd519b25fbf104a11589abfd05484ff12199cca21/contourpy-1.3.2-cp313-cp313t-win32.whl", hash = "sha256:d0e589ae0d55204991450bb5c23f571c64fe43adaa53f93fc902a84c96f52fe1", size = 189550, upload-time = "2025-04-15T17:44:37.092Z" },
+    { url = "https://files.pythonhosted.org/packages/b0/e6/6000d0094e8a5e32ad62591c8609e269febb6e4db83a1c75ff8868b42731/contourpy-1.3.2-cp313-cp313t-win_amd64.whl", hash = "sha256:78e9253c3de756b3f6a5174d024c4835acd59eb3f8e2ca13e775dbffe1558f69", size = 238214, upload-time = "2025-04-15T17:44:40.827Z" },
+]
+
+[[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 = "1.8.14"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/bd/75/087fe07d40f490a78782ff3b0a30e3968936854105487decdb33446d4b0e/debugpy-1.8.14.tar.gz", hash = "sha256:7cd287184318416850aa8b60ac90105837bb1e59531898c07569d197d2ed5322", size = 1641444, upload-time = "2025-04-10T19:46:10.981Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d9/2a/ac2df0eda4898f29c46eb6713a5148e6f8b2b389c8ec9e425a4a1d67bf07/debugpy-1.8.14-cp312-cp312-macosx_14_0_universal2.whl", hash = "sha256:8899c17920d089cfa23e6005ad9f22582fd86f144b23acb9feeda59e84405b84", size = 2501268, upload-time = "2025-04-10T19:46:26.044Z" },
+    { url = "https://files.pythonhosted.org/packages/10/53/0a0cb5d79dd9f7039169f8bf94a144ad3efa52cc519940b3b7dde23bcb89/debugpy-1.8.14-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6bb5c0dcf80ad5dbc7b7d6eac484e2af34bdacdf81df09b6a3e62792b722826", size = 4221077, upload-time = "2025-04-10T19:46:27.464Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/d5/84e01821f362327bf4828728aa31e907a2eca7c78cd7c6ec062780d249f8/debugpy-1.8.14-cp312-cp312-win32.whl", hash = "sha256:281d44d248a0e1791ad0eafdbbd2912ff0de9eec48022a5bfbc332957487ed3f", size = 5255127, upload-time = "2025-04-10T19:46:29.467Z" },
+    { url = "https://files.pythonhosted.org/packages/33/16/1ed929d812c758295cac7f9cf3dab5c73439c83d9091f2d91871e648093e/debugpy-1.8.14-cp312-cp312-win_amd64.whl", hash = "sha256:5aa56ef8538893e4502a7d79047fe39b1dae08d9ae257074c6464a7b290b806f", size = 5297249, upload-time = "2025-04-10T19:46:31.538Z" },
+    { url = "https://files.pythonhosted.org/packages/4d/e4/395c792b243f2367d84202dc33689aa3d910fb9826a7491ba20fc9e261f5/debugpy-1.8.14-cp313-cp313-macosx_14_0_universal2.whl", hash = "sha256:329a15d0660ee09fec6786acdb6e0443d595f64f5d096fc3e3ccf09a4259033f", size = 2485676, upload-time = "2025-04-10T19:46:32.96Z" },
+    { url = "https://files.pythonhosted.org/packages/ba/f1/6f2ee3f991327ad9e4c2f8b82611a467052a0fb0e247390192580e89f7ff/debugpy-1.8.14-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f920c7f9af409d90f5fd26e313e119d908b0dd2952c2393cd3247a462331f15", size = 4217514, upload-time = "2025-04-10T19:46:34.336Z" },
+    { url = "https://files.pythonhosted.org/packages/79/28/b9d146f8f2dc535c236ee09ad3e5ac899adb39d7a19b49f03ac95d216beb/debugpy-1.8.14-cp313-cp313-win32.whl", hash = "sha256:3784ec6e8600c66cbdd4ca2726c72d8ca781e94bce2f396cc606d458146f8f4e", size = 5254756, upload-time = "2025-04-10T19:46:36.199Z" },
+    { url = "https://files.pythonhosted.org/packages/e0/62/a7b4a57013eac4ccaef6977966e6bec5c63906dd25a86e35f155952e29a1/debugpy-1.8.14-cp313-cp313-win_amd64.whl", hash = "sha256:684eaf43c95a3ec39a96f1f5195a7ff3d4144e4a18d69bb66beeb1a6de605d6e", size = 5297119, upload-time = "2025-04-10T19:46:38.141Z" },
+    { url = "https://files.pythonhosted.org/packages/97/1a/481f33c37ee3ac8040d3d51fc4c4e4e7e61cb08b8bc8971d6032acc2279f/debugpy-1.8.14-py2.py3-none-any.whl", hash = "sha256:5cd9a579d553b6cb9759a7908a41988ee6280b961f24f63336835d9418216a20", size = 5256230, upload-time = "2025-04-10T19:46:54.077Z" },
+]
+
+[[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 = "executing"
+version = "2.2.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/91/50/a9d80c47ff289c611ff12e63f7c5d13942c65d68125160cefd768c73e6e4/executing-2.2.0.tar.gz", hash = "sha256:5d108c028108fe2551d1a7b2e8b713341e2cb4fc0aa7dcf966fa4327a5226755", size = 978693, upload-time = "2025-01-22T15:41:29.403Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/7b/8f/c4d9bafc34ad7ad5d8dc16dd1347ee0e507a52c3adb6bfa8887e1c6a26ba/executing-2.2.0-py2.py3-none-any.whl", hash = "sha256:11387150cad388d62750327a53d3339fad4888b39a6fe233c3afbb54ecffd3aa", size = 26702, upload-time = "2025-01-22T15:41:25.929Z" },
+]
+
+[[package]]
+name = "fastjsonschema"
+version = "2.21.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/8b/50/4b769ce1ac4071a1ef6d86b1a3fb56cdc3a37615e8c5519e1af96cdac366/fastjsonschema-2.21.1.tar.gz", hash = "sha256:794d4f0a58f848961ba16af7b9c85a3e88cd360df008c59aac6fc5ae9323b5d4", size = 373939, upload-time = "2024-12-02T10:55:15.133Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/90/2b/0817a2b257fe88725c25589d89aec060581aabf668707a8d03b2e9e0cb2a/fastjsonschema-2.21.1-py3-none-any.whl", hash = "sha256:c9e5b7e908310918cf494a434eeb31384dd84a98b57a30bcb1f535015b554667", size = 23924, upload-time = "2024-12-02T10:55:07.599Z" },
+]
+
+[[package]]
+name = "fonttools"
+version = "4.58.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/2e/5a/1124b2c8cb3a8015faf552e92714040bcdbc145dfa29928891b02d147a18/fonttools-4.58.4.tar.gz", hash = "sha256:928a8009b9884ed3aae17724b960987575155ca23c6f0b8146e400cc9e0d44ba", size = 3525026, upload-time = "2025-06-13T17:25:15.426Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/04/3c/1d1792bfe91ef46f22a3d23b4deb514c325e73c17d4f196b385b5e2faf1c/fonttools-4.58.4-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:462211c0f37a278494e74267a994f6be9a2023d0557aaa9ecbcbfce0f403b5a6", size = 2754082, upload-time = "2025-06-13T17:24:24.862Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/1f/2b261689c901a1c3bc57a6690b0b9fc21a9a93a8b0c83aae911d3149f34e/fonttools-4.58.4-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:0c7a12fb6f769165547f00fcaa8d0df9517603ae7e04b625e5acb8639809b82d", size = 2321677, upload-time = "2025-06-13T17:24:26.815Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/6b/4607add1755a1e6581ae1fc0c9a640648e0d9cdd6591cc2d581c2e07b8c3/fonttools-4.58.4-cp312-cp312-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:2d42c63020a922154add0a326388a60a55504629edc3274bc273cd3806b4659f", size = 4896354, upload-time = "2025-06-13T17:24:28.428Z" },
+    { url = "https://files.pythonhosted.org/packages/cd/95/34b4f483643d0cb11a1f830b72c03fdd18dbd3792d77a2eb2e130a96fada/fonttools-4.58.4-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8f2b4e6fd45edc6805f5f2c355590b092ffc7e10a945bd6a569fc66c1d2ae7aa", size = 4941633, upload-time = "2025-06-13T17:24:30.568Z" },
+    { url = "https://files.pythonhosted.org/packages/81/ac/9bafbdb7694059c960de523e643fa5a61dd2f698f3f72c0ca18ae99257c7/fonttools-4.58.4-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:f155b927f6efb1213a79334e4cb9904d1e18973376ffc17a0d7cd43d31981f1e", size = 4886170, upload-time = "2025-06-13T17:24:32.724Z" },
+    { url = "https://files.pythonhosted.org/packages/ae/44/a3a3b70d5709405f7525bb7cb497b4e46151e0c02e3c8a0e40e5e9fe030b/fonttools-4.58.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e38f687d5de97c7fb7da3e58169fb5ba349e464e141f83c3c2e2beb91d317816", size = 5037851, upload-time = "2025-06-13T17:24:35.034Z" },
+    { url = "https://files.pythonhosted.org/packages/21/cb/e8923d197c78969454eb876a4a55a07b59c9c4c46598f02b02411dc3b45c/fonttools-4.58.4-cp312-cp312-win32.whl", hash = "sha256:636c073b4da9db053aa683db99580cac0f7c213a953b678f69acbca3443c12cc", size = 2187428, upload-time = "2025-06-13T17:24:36.996Z" },
+    { url = "https://files.pythonhosted.org/packages/46/e6/fe50183b1a0e1018e7487ee740fa8bb127b9f5075a41e20d017201e8ab14/fonttools-4.58.4-cp312-cp312-win_amd64.whl", hash = "sha256:82e8470535743409b30913ba2822e20077acf9ea70acec40b10fcf5671dceb58", size = 2236649, upload-time = "2025-06-13T17:24:38.985Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/4f/c05cab5fc1a4293e6bc535c6cb272607155a0517700f5418a4165b7f9ec8/fonttools-4.58.4-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:5f4a64846495c543796fa59b90b7a7a9dff6839bd852741ab35a71994d685c6d", size = 2745197, upload-time = "2025-06-13T17:24:40.645Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/d3/49211b1f96ae49308f4f78ca7664742377a6867f00f704cdb31b57e4b432/fonttools-4.58.4-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e80661793a5d4d7ad132a2aa1eae2e160fbdbb50831a0edf37c7c63b2ed36574", size = 2317272, upload-time = "2025-06-13T17:24:43.428Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/11/c9972e46a6abd752a40a46960e431c795ad1f306775fc1f9e8c3081a1274/fonttools-4.58.4-cp313-cp313-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:fe5807fc64e4ba5130f1974c045a6e8d795f3b7fb6debfa511d1773290dbb76b", size = 4877184, upload-time = "2025-06-13T17:24:45.527Z" },
+    { url = "https://files.pythonhosted.org/packages/ea/24/5017c01c9ef8df572cc9eaf9f12be83ad8ed722ff6dc67991d3d752956e4/fonttools-4.58.4-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b610b9bef841cb8f4b50472494158b1e347d15cad56eac414c722eda695a6cfd", size = 4939445, upload-time = "2025-06-13T17:24:47.647Z" },
+    { url = "https://files.pythonhosted.org/packages/79/b0/538cc4d0284b5a8826b4abed93a69db52e358525d4b55c47c8cef3669767/fonttools-4.58.4-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:2daa7f0e213c38f05f054eb5e1730bd0424aebddbeac094489ea1585807dd187", size = 4878800, upload-time = "2025-06-13T17:24:49.766Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/9b/a891446b7a8250e65bffceb248508587958a94db467ffd33972723ab86c9/fonttools-4.58.4-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:66cccb6c0b944496b7f26450e9a66e997739c513ffaac728d24930df2fd9d35b", size = 5021259, upload-time = "2025-06-13T17:24:51.754Z" },
+    { url = "https://files.pythonhosted.org/packages/17/b2/c4d2872cff3ace3ddd1388bf15b76a1d8d5313f0a61f234e9aed287e674d/fonttools-4.58.4-cp313-cp313-win32.whl", hash = "sha256:94d2aebb5ca59a5107825520fde596e344652c1f18170ef01dacbe48fa60c889", size = 2185824, upload-time = "2025-06-13T17:24:54.324Z" },
+    { url = "https://files.pythonhosted.org/packages/98/57/cddf8bcc911d4f47dfca1956c1e3aeeb9f7c9b8e88b2a312fe8c22714e0b/fonttools-4.58.4-cp313-cp313-win_amd64.whl", hash = "sha256:b554bd6e80bba582fd326ddab296e563c20c64dca816d5e30489760e0c41529f", size = 2236382, upload-time = "2025-06-13T17:24:56.291Z" },
+    { url = "https://files.pythonhosted.org/packages/0b/2f/c536b5b9bb3c071e91d536a4d11f969e911dbb6b227939f4c5b0bca090df/fonttools-4.58.4-py3-none-any.whl", hash = "sha256:a10ce13a13f26cbb9f37512a4346bb437ad7e002ff6fa966a7ce7ff5ac3528bd", size = 1114660, upload-time = "2025-06-13T17:25:13.321Z" },
+]
+
+[[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 = "griffe"
+version = "1.7.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "colorama" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/a9/3e/5aa9a61f7c3c47b0b52a1d930302992229d191bf4bc76447b324b731510a/griffe-1.7.3.tar.gz", hash = "sha256:52ee893c6a3a968b639ace8015bec9d36594961e156e23315c8e8e51401fa50b", size = 395137, upload-time = "2025-04-23T11:29:09.147Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/58/c6/5c20af38c2a57c15d87f7f38bee77d63c1d2a3689f74fefaf35915dd12b2/griffe-1.7.3-py3-none-any.whl", hash = "sha256:c6b3ee30c2f0f17f30bcdef5068d6ab7a2a4f1b8bf1a3e74b56fffd21e1c5f75", size = 129303, upload-time = "2025-04-23T11:29:07.145Z" },
+]
+
+[[package]]
+name = "idna"
+version = "3.10"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f1/70/7703c29685631f5a7590aa73f1f1d3fa9a380e654b86af429e0934a32f7d/idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9", size = 190490, upload-time = "2024-09-15T18:07:39.745Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/76/c6/c88e154df9c4e1a2a66ccf0005a88dfb2650c1dffb6f5ce603dfbd452ce3/idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3", size = 70442, upload-time = "2024-09-15T18:07:37.964Z" },
+]
+
+[[package]]
+name = "iniconfig"
+version = "2.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f2/97/ebf4da567aa6827c909642694d71c9fcf53e5b504f2d96afea02718862f3/iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7", size = 4793, upload-time = "2025-03-19T20:09:59.721Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2c/e1/e6716421ea10d38022b952c159d5161ca1193197fb744506875fbb87ea7b/iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760", size = 6050, upload-time = "2025-03-19T20:10:01.071Z" },
+]
+
+[[package]]
+name = "ipykernel"
+version = "6.29.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "appnope", marker = "sys_platform == 'darwin'" },
+    { name = "comm" },
+    { name = "debugpy" },
+    { name = "ipython" },
+    { 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/e9/5c/67594cb0c7055dc50814b21731c22a601101ea3b1b50a9a1b090e11f5d0f/ipykernel-6.29.5.tar.gz", hash = "sha256:f093a22c4a40f8828f8e330a9c297cb93dcab13bd9678ded6de8e5cf81c56215", size = 163367, upload-time = "2024-07-01T14:07:22.543Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/94/5c/368ae6c01c7628438358e6d337c19b05425727fbb221d2a3c4303c372f42/ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5", size = 117173, upload-time = "2024-07-01T14:07:19.603Z" },
+]
+
+[[package]]
+name = "ipython"
+version = "9.3.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "decorator" },
+    { name = "ipython-pygments-lexers" },
+    { name = "jedi" },
+    { name = "matplotlib-inline" },
+    { name = "pexpect", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
+    { name = "prompt-toolkit" },
+    { name = "pygments" },
+    { name = "stack-data" },
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/dc/09/4c7e06b96fbd203e06567b60fb41b06db606b6a82db6db7b2c85bb72a15c/ipython-9.3.0.tar.gz", hash = "sha256:79eb896f9f23f50ad16c3bc205f686f6e030ad246cc309c6279a242b14afe9d8", size = 4426460, upload-time = "2025-05-31T16:34:55.678Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3c/99/9ed3d52d00f1846679e3aa12e2326ac7044b5e7f90dc822b60115fa533ca/ipython-9.3.0-py3-none-any.whl", hash = "sha256:1a0b6dd9221a1f5dddf725b57ac0cb6fddc7b5f470576231ae9162b9b3455a04", size = 605320, upload-time = "2025-05-31T16:34:52.154Z" },
+]
+
+[[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 = "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 = "jsonschema"
+version = "4.24.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "attrs" },
+    { name = "jsonschema-specifications" },
+    { name = "referencing" },
+    { name = "rpds-py" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/bf/d3/1cf5326b923a53515d8f3a2cd442e6d7e94fcc444716e879ea70a0ce3177/jsonschema-4.24.0.tar.gz", hash = "sha256:0b4e8069eb12aedfa881333004bccaec24ecef5a8a6a4b6df142b2cc9599d196", size = 353480, upload-time = "2025-05-26T18:48:10.459Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a2/3d/023389198f69c722d039351050738d6755376c8fd343e91dc493ea485905/jsonschema-4.24.0-py3-none-any.whl", hash = "sha256:a462455f19f5faf404a7902952b6f0e3ce868f3ee09a359b05eca6673bd8412d", size = 88709, upload-time = "2025-05-26T18:48:08.417Z" },
+]
+
+[[package]]
+name = "jsonschema-specifications"
+version = "2025.4.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "referencing" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/bf/ce/46fbd9c8119cfc3581ee5643ea49464d168028cfb5caff5fc0596d0cf914/jsonschema_specifications-2025.4.1.tar.gz", hash = "sha256:630159c9f4dbea161a6a2205c3011cc4f18ff381b189fff48bb39b9bf26ae608", size = 15513, upload-time = "2025-04-23T12:34:07.418Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/01/0e/b27cdbaccf30b890c40ed1da9fd4a3593a5cf94dae54fb34f8a4b74fcd3f/jsonschema_specifications-2025.4.1-py3-none-any.whl", hash = "sha256:4653bffbd6584f7de83a67e0d620ef16900b390ddc7939d56684d6c81e33f1af", size = 18437, upload-time = "2025-04-23T12:34:05.422Z" },
+]
+
+[[package]]
+name = "jupyter-client"
+version = "8.6.3"
+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/71/22/bf9f12fdaeae18019a468b68952a60fe6dbab5d67cd2a103cac7659b41ca/jupyter_client-8.6.3.tar.gz", hash = "sha256:35b3a0947c4a6e9d589eb97d7d4cd5e90f910ee73101611f01283732bd6d9419", size = 342019, upload-time = "2024-09-17T10:44:17.613Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/11/85/b0394e0b6fcccd2c1eeefc230978a6f8cb0c5df1e4cd3e7625735a0d7d1e/jupyter_client-8.6.3-py3-none-any.whl", hash = "sha256:e8a19cc986cc45905ac3362915f410f3af85424b4c0905e94fa5f2cb08e8f23f", size = 106105, upload-time = "2024-09-17T10:44:15.218Z" },
+]
+
+[[package]]
+name = "jupyter-core"
+version = "5.8.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "platformdirs" },
+    { name = "pywin32", marker = "platform_python_implementation != 'PyPy' and sys_platform == 'win32'" },
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/99/1b/72906d554acfeb588332eaaa6f61577705e9ec752ddb486f302dafa292d9/jupyter_core-5.8.1.tar.gz", hash = "sha256:0a5f9706f70e64786b75acba995988915ebd4601c8a52e534a40b51c95f59941", size = 88923, upload-time = "2025-05-27T07:38:16.655Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2f/57/6bffd4b20b88da3800c5d691e0337761576ee688eb01299eae865689d2df/jupyter_core-5.8.1-py3-none-any.whl", hash = "sha256:c28d268fc90fb53f1338ded2eb410704c5449a358406e8a948b75706e24863d0", size = 28880, upload-time = "2025-05-27T07:38:15.137Z" },
+]
+
+[[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 = "jupytext"
+version = "1.17.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "markdown-it-py" },
+    { name = "mdit-py-plugins" },
+    { name = "nbformat" },
+    { name = "packaging" },
+    { name = "pyyaml" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/30/ce/0bd5290ca4978777154e2683413dca761781aacf57f7dc0146f5210df8b1/jupytext-1.17.2.tar.gz", hash = "sha256:772d92898ac1f2ded69106f897b34af48ce4a85c985fa043a378ff5a65455f02", size = 3748577, upload-time = "2025-06-01T21:31:48.231Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ed/f1/82ea8e783433707cafd9790099a2d19f113c22f32a31c8bb5abdc7a61dbb/jupytext-1.17.2-py3-none-any.whl", hash = "sha256:4f85dc43bb6a24b75491c5c434001ad5ef563932f68f15dd3e1c8ce12a4a426b", size = 164401, upload-time = "2025-06-01T21:31:46.319Z" },
+]
+
+[[package]]
+name = "kiwisolver"
+version = "1.4.8"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/82/59/7c91426a8ac292e1cdd53a63b6d9439abd573c875c3f92c146767dd33faf/kiwisolver-1.4.8.tar.gz", hash = "sha256:23d5f023bdc8c7e54eb65f03ca5d5bb25b601eac4d7f1a042888a1f45237987e", size = 97538, upload-time = "2024-12-24T18:30:51.519Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fc/aa/cea685c4ab647f349c3bc92d2daf7ae34c8e8cf405a6dcd3a497f58a2ac3/kiwisolver-1.4.8-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:d6af5e8815fd02997cb6ad9bbed0ee1e60014438ee1a5c2444c96f87b8843502", size = 124152, upload-time = "2024-12-24T18:29:16.85Z" },
+    { url = "https://files.pythonhosted.org/packages/c5/0b/8db6d2e2452d60d5ebc4ce4b204feeb16176a851fd42462f66ade6808084/kiwisolver-1.4.8-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:bade438f86e21d91e0cf5dd7c0ed00cda0f77c8c1616bd83f9fc157fa6760d31", size = 66555, upload-time = "2024-12-24T18:29:19.146Z" },
+    { url = "https://files.pythonhosted.org/packages/60/26/d6a0db6785dd35d3ba5bf2b2df0aedc5af089962c6eb2cbf67a15b81369e/kiwisolver-1.4.8-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b83dc6769ddbc57613280118fb4ce3cd08899cc3369f7d0e0fab518a7cf37fdb", size = 65067, upload-time = "2024-12-24T18:29:20.096Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/ed/1d97f7e3561e09757a196231edccc1bcf59d55ddccefa2afc9c615abd8e0/kiwisolver-1.4.8-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:111793b232842991be367ed828076b03d96202c19221b5ebab421ce8bcad016f", size = 1378443, upload-time = "2024-12-24T18:29:22.843Z" },
+    { url = "https://files.pythonhosted.org/packages/29/61/39d30b99954e6b46f760e6289c12fede2ab96a254c443639052d1b573fbc/kiwisolver-1.4.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:257af1622860e51b1a9d0ce387bf5c2c4f36a90594cb9514f55b074bcc787cfc", size = 1472728, upload-time = "2024-12-24T18:29:24.463Z" },
+    { url = "https://files.pythonhosted.org/packages/0c/3e/804163b932f7603ef256e4a715e5843a9600802bb23a68b4e08c8c0ff61d/kiwisolver-1.4.8-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:69b5637c3f316cab1ec1c9a12b8c5f4750a4c4b71af9157645bf32830e39c03a", size = 1478388, upload-time = "2024-12-24T18:29:25.776Z" },
+    { url = "https://files.pythonhosted.org/packages/8a/9e/60eaa75169a154700be74f875a4d9961b11ba048bef315fbe89cb6999056/kiwisolver-1.4.8-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:782bb86f245ec18009890e7cb8d13a5ef54dcf2ebe18ed65f795e635a96a1c6a", size = 1413849, upload-time = "2024-12-24T18:29:27.202Z" },
+    { url = "https://files.pythonhosted.org/packages/bc/b3/9458adb9472e61a998c8c4d95cfdfec91c73c53a375b30b1428310f923e4/kiwisolver-1.4.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cc978a80a0db3a66d25767b03688f1147a69e6237175c0f4ffffaaedf744055a", size = 1475533, upload-time = "2024-12-24T18:29:28.638Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/7a/0a42d9571e35798de80aef4bb43a9b672aa7f8e58643d7bd1950398ffb0a/kiwisolver-1.4.8-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:36dbbfd34838500a31f52c9786990d00150860e46cd5041386f217101350f0d3", size = 2268898, upload-time = "2024-12-24T18:29:30.368Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/07/1255dc8d80271400126ed8db35a1795b1a2c098ac3a72645075d06fe5c5d/kiwisolver-1.4.8-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:eaa973f1e05131de5ff3569bbba7f5fd07ea0595d3870ed4a526d486fe57fa1b", size = 2425605, upload-time = "2024-12-24T18:29:33.151Z" },
+    { url = "https://files.pythonhosted.org/packages/84/df/5a3b4cf13780ef6f6942df67b138b03b7e79e9f1f08f57c49957d5867f6e/kiwisolver-1.4.8-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:a66f60f8d0c87ab7f59b6fb80e642ebb29fec354a4dfad687ca4092ae69d04f4", size = 2375801, upload-time = "2024-12-24T18:29:34.584Z" },
+    { url = "https://files.pythonhosted.org/packages/8f/10/2348d068e8b0f635c8c86892788dac7a6b5c0cb12356620ab575775aad89/kiwisolver-1.4.8-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:858416b7fb777a53f0c59ca08190ce24e9abbd3cffa18886a5781b8e3e26f65d", size = 2520077, upload-time = "2024-12-24T18:29:36.138Z" },
+    { url = "https://files.pythonhosted.org/packages/32/d8/014b89fee5d4dce157d814303b0fce4d31385a2af4c41fed194b173b81ac/kiwisolver-1.4.8-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:085940635c62697391baafaaeabdf3dd7a6c3643577dde337f4d66eba021b2b8", size = 2338410, upload-time = "2024-12-24T18:29:39.991Z" },
+    { url = "https://files.pythonhosted.org/packages/bd/72/dfff0cc97f2a0776e1c9eb5bef1ddfd45f46246c6533b0191887a427bca5/kiwisolver-1.4.8-cp312-cp312-win_amd64.whl", hash = "sha256:01c3d31902c7db5fb6182832713d3b4122ad9317c2c5877d0539227d96bb2e50", size = 71853, upload-time = "2024-12-24T18:29:42.006Z" },
+    { url = "https://files.pythonhosted.org/packages/dc/85/220d13d914485c0948a00f0b9eb419efaf6da81b7d72e88ce2391f7aed8d/kiwisolver-1.4.8-cp312-cp312-win_arm64.whl", hash = "sha256:a3c44cb68861de93f0c4a8175fbaa691f0aa22550c331fefef02b618a9dcb476", size = 65424, upload-time = "2024-12-24T18:29:44.38Z" },
+    { url = "https://files.pythonhosted.org/packages/79/b3/e62464a652f4f8cd9006e13d07abad844a47df1e6537f73ddfbf1bc997ec/kiwisolver-1.4.8-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:1c8ceb754339793c24aee1c9fb2485b5b1f5bb1c2c214ff13368431e51fc9a09", size = 124156, upload-time = "2024-12-24T18:29:45.368Z" },
+    { url = "https://files.pythonhosted.org/packages/8d/2d/f13d06998b546a2ad4f48607a146e045bbe48030774de29f90bdc573df15/kiwisolver-1.4.8-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:54a62808ac74b5e55a04a408cda6156f986cefbcf0ada13572696b507cc92fa1", size = 66555, upload-time = "2024-12-24T18:29:46.37Z" },
+    { url = "https://files.pythonhosted.org/packages/59/e3/b8bd14b0a54998a9fd1e8da591c60998dc003618cb19a3f94cb233ec1511/kiwisolver-1.4.8-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:68269e60ee4929893aad82666821aaacbd455284124817af45c11e50a4b42e3c", size = 65071, upload-time = "2024-12-24T18:29:47.333Z" },
+    { url = "https://files.pythonhosted.org/packages/f0/1c/6c86f6d85ffe4d0ce04228d976f00674f1df5dc893bf2dd4f1928748f187/kiwisolver-1.4.8-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:34d142fba9c464bc3bbfeff15c96eab0e7310343d6aefb62a79d51421fcc5f1b", size = 1378053, upload-time = "2024-12-24T18:29:49.636Z" },
+    { url = "https://files.pythonhosted.org/packages/4e/b9/1c6e9f6dcb103ac5cf87cb695845f5fa71379021500153566d8a8a9fc291/kiwisolver-1.4.8-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ddc373e0eef45b59197de815b1b28ef89ae3955e7722cc9710fb91cd77b7f47", size = 1472278, upload-time = "2024-12-24T18:29:51.164Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/81/aca1eb176de671f8bda479b11acdc42c132b61a2ac861c883907dde6debb/kiwisolver-1.4.8-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:77e6f57a20b9bd4e1e2cedda4d0b986ebd0216236f0106e55c28aea3d3d69b16", size = 1478139, upload-time = "2024-12-24T18:29:52.594Z" },
+    { url = "https://files.pythonhosted.org/packages/49/f4/e081522473671c97b2687d380e9e4c26f748a86363ce5af48b4a28e48d06/kiwisolver-1.4.8-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:08e77738ed7538f036cd1170cbed942ef749137b1311fa2bbe2a7fda2f6bf3cc", size = 1413517, upload-time = "2024-12-24T18:29:53.941Z" },
+    { url = "https://files.pythonhosted.org/packages/8f/e9/6a7d025d8da8c4931522922cd706105aa32b3291d1add8c5427cdcd66e63/kiwisolver-1.4.8-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a5ce1e481a74b44dd5e92ff03ea0cb371ae7a0268318e202be06c8f04f4f1246", size = 1474952, upload-time = "2024-12-24T18:29:56.523Z" },
+    { url = "https://files.pythonhosted.org/packages/82/13/13fa685ae167bee5d94b415991c4fc7bb0a1b6ebea6e753a87044b209678/kiwisolver-1.4.8-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:fc2ace710ba7c1dfd1a3b42530b62b9ceed115f19a1656adefce7b1782a37794", size = 2269132, upload-time = "2024-12-24T18:29:57.989Z" },
+    { url = "https://files.pythonhosted.org/packages/ef/92/bb7c9395489b99a6cb41d502d3686bac692586db2045adc19e45ee64ed23/kiwisolver-1.4.8-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:3452046c37c7692bd52b0e752b87954ef86ee2224e624ef7ce6cb21e8c41cc1b", size = 2425997, upload-time = "2024-12-24T18:29:59.393Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/12/87f0e9271e2b63d35d0d8524954145837dd1a6c15b62a2d8c1ebe0f182b4/kiwisolver-1.4.8-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:7e9a60b50fe8b2ec6f448fe8d81b07e40141bfced7f896309df271a0b92f80f3", size = 2376060, upload-time = "2024-12-24T18:30:01.338Z" },
+    { url = "https://files.pythonhosted.org/packages/02/6e/c8af39288edbce8bf0fa35dee427b082758a4b71e9c91ef18fa667782138/kiwisolver-1.4.8-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:918139571133f366e8362fa4a297aeba86c7816b7ecf0bc79168080e2bd79957", size = 2520471, upload-time = "2024-12-24T18:30:04.574Z" },
+    { url = "https://files.pythonhosted.org/packages/13/78/df381bc7b26e535c91469f77f16adcd073beb3e2dd25042efd064af82323/kiwisolver-1.4.8-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e063ef9f89885a1d68dd8b2e18f5ead48653176d10a0e324e3b0030e3a69adeb", size = 2338793, upload-time = "2024-12-24T18:30:06.25Z" },
+    { url = "https://files.pythonhosted.org/packages/d0/dc/c1abe38c37c071d0fc71c9a474fd0b9ede05d42f5a458d584619cfd2371a/kiwisolver-1.4.8-cp313-cp313-win_amd64.whl", hash = "sha256:a17b7c4f5b2c51bb68ed379defd608a03954a1845dfed7cc0117f1cc8a9b7fd2", size = 71855, upload-time = "2024-12-24T18:30:07.535Z" },
+    { url = "https://files.pythonhosted.org/packages/a0/b6/21529d595b126ac298fdd90b705d87d4c5693de60023e0efcb4f387ed99e/kiwisolver-1.4.8-cp313-cp313-win_arm64.whl", hash = "sha256:3cd3bc628b25f74aedc6d374d5babf0166a92ff1317f46267f12d2ed54bc1d30", size = 65430, upload-time = "2024-12-24T18:30:08.504Z" },
+    { url = "https://files.pythonhosted.org/packages/34/bd/b89380b7298e3af9b39f49334e3e2a4af0e04819789f04b43d560516c0c8/kiwisolver-1.4.8-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:370fd2df41660ed4e26b8c9d6bbcad668fbe2560462cba151a721d49e5b6628c", size = 126294, upload-time = "2024-12-24T18:30:09.508Z" },
+    { url = "https://files.pythonhosted.org/packages/83/41/5857dc72e5e4148eaac5aa76e0703e594e4465f8ab7ec0fc60e3a9bb8fea/kiwisolver-1.4.8-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:84a2f830d42707de1d191b9490ac186bf7997a9495d4e9072210a1296345f7dc", size = 67736, upload-time = "2024-12-24T18:30:11.039Z" },
+    { url = "https://files.pythonhosted.org/packages/e1/d1/be059b8db56ac270489fb0b3297fd1e53d195ba76e9bbb30e5401fa6b759/kiwisolver-1.4.8-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:7a3ad337add5148cf51ce0b55642dc551c0b9d6248458a757f98796ca7348712", size = 66194, upload-time = "2024-12-24T18:30:14.886Z" },
+    { url = "https://files.pythonhosted.org/packages/e1/83/4b73975f149819eb7dcf9299ed467eba068ecb16439a98990dcb12e63fdd/kiwisolver-1.4.8-cp313-cp313t-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7506488470f41169b86d8c9aeff587293f530a23a23a49d6bc64dab66bedc71e", size = 1465942, upload-time = "2024-12-24T18:30:18.927Z" },
+    { url = "https://files.pythonhosted.org/packages/c7/2c/30a5cdde5102958e602c07466bce058b9d7cb48734aa7a4327261ac8e002/kiwisolver-1.4.8-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2f0121b07b356a22fb0414cec4666bbe36fd6d0d759db3d37228f496ed67c880", size = 1595341, upload-time = "2024-12-24T18:30:22.102Z" },
+    { url = "https://files.pythonhosted.org/packages/ff/9b/1e71db1c000385aa069704f5990574b8244cce854ecd83119c19e83c9586/kiwisolver-1.4.8-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d6d6bd87df62c27d4185de7c511c6248040afae67028a8a22012b010bc7ad062", size = 1598455, upload-time = "2024-12-24T18:30:24.947Z" },
+    { url = "https://files.pythonhosted.org/packages/85/92/c8fec52ddf06231b31cbb779af77e99b8253cd96bd135250b9498144c78b/kiwisolver-1.4.8-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:291331973c64bb9cce50bbe871fb2e675c4331dab4f31abe89f175ad7679a4d7", size = 1522138, upload-time = "2024-12-24T18:30:26.286Z" },
+    { url = "https://files.pythonhosted.org/packages/0b/51/9eb7e2cd07a15d8bdd976f6190c0164f92ce1904e5c0c79198c4972926b7/kiwisolver-1.4.8-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:893f5525bb92d3d735878ec00f781b2de998333659507d29ea4466208df37bed", size = 1582857, upload-time = "2024-12-24T18:30:28.86Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/95/c5a00387a5405e68ba32cc64af65ce881a39b98d73cc394b24143bebc5b8/kiwisolver-1.4.8-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:b47a465040146981dc9db8647981b8cb96366fbc8d452b031e4f8fdffec3f26d", size = 2293129, upload-time = "2024-12-24T18:30:30.34Z" },
+    { url = "https://files.pythonhosted.org/packages/44/83/eeb7af7d706b8347548313fa3a3a15931f404533cc54fe01f39e830dd231/kiwisolver-1.4.8-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:99cea8b9dd34ff80c521aef46a1dddb0dcc0283cf18bde6d756f1e6f31772165", size = 2421538, upload-time = "2024-12-24T18:30:33.334Z" },
+    { url = "https://files.pythonhosted.org/packages/05/f9/27e94c1b3eb29e6933b6986ffc5fa1177d2cd1f0c8efc5f02c91c9ac61de/kiwisolver-1.4.8-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:151dffc4865e5fe6dafce5480fab84f950d14566c480c08a53c663a0020504b6", size = 2390661, upload-time = "2024-12-24T18:30:34.939Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/d4/3c9735faa36ac591a4afcc2980d2691000506050b7a7e80bcfe44048daa7/kiwisolver-1.4.8-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:577facaa411c10421314598b50413aa1ebcf5126f704f1e5d72d7e4e9f020d90", size = 2546710, upload-time = "2024-12-24T18:30:37.281Z" },
+    { url = "https://files.pythonhosted.org/packages/4c/fa/be89a49c640930180657482a74970cdcf6f7072c8d2471e1babe17a222dc/kiwisolver-1.4.8-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:be4816dc51c8a471749d664161b434912eee82f2ea66bd7628bd14583a833e85", size = 2349213, upload-time = "2024-12-24T18:30:40.019Z" },
+]
+
+[[package]]
+name = "markdown"
+version = "3.8.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/d7/c2/4ab49206c17f75cb08d6311171f2d65798988db4360c4d1485bd0eedd67c/markdown-3.8.2.tar.gz", hash = "sha256:247b9a70dd12e27f67431ce62523e675b866d254f900c4fe75ce3dda62237c45", size = 362071, upload-time = "2025-06-19T17:12:44.483Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/96/2b/34cc11786bc00d0f04d0f5fdc3a2b1ae0b6239eef72d3d345805f9ad92a1/markdown-3.8.2-py3-none-any.whl", hash = "sha256:5c83764dbd4e00bdd94d85a19b8d55ccca20fe35b2e678a1422b380324dd5f24", size = 106827, upload-time = "2025-06-19T17:12:42.994Z" },
+]
+
+[[package]]
+name = "markdown-it-py"
+version = "3.0.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "mdurl" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/38/71/3b932df36c1a044d397a1f92d1cf91ee0a503d91e470cbd670aa66b07ed0/markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb", size = 74596, upload-time = "2023-06-03T06:41:14.443Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/42/d7/1ec15b46af6af88f19b8e5ffea08fa375d433c998b8a7639e76935c14f1f/markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1", size = 87528, upload-time = "2023-06-03T06:41:11.019Z" },
+]
+
+[[package]]
+name = "markupsafe"
+version = "3.0.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/b2/97/5d42485e71dfc078108a86d6de8fa46db44a1a9295e89c5d6d4a06e23a62/markupsafe-3.0.2.tar.gz", hash = "sha256:ee55d3edf80167e48ea11a923c7386f4669df67d7994554387f84e7d8b0a2bf0", size = 20537, upload-time = "2024-10-18T15:21:54.129Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/22/09/d1f21434c97fc42f09d290cbb6350d44eb12f09cc62c9476effdb33a18aa/MarkupSafe-3.0.2-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:9778bd8ab0a994ebf6f84c2b949e65736d5575320a17ae8984a77fab08db94cf", size = 14274, upload-time = "2024-10-18T15:21:13.777Z" },
+    { url = "https://files.pythonhosted.org/packages/6b/b0/18f76bba336fa5aecf79d45dcd6c806c280ec44538b3c13671d49099fdd0/MarkupSafe-3.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:846ade7b71e3536c4e56b386c2a47adf5741d2d8b94ec9dc3e92e5e1ee1e2225", size = 12348, upload-time = "2024-10-18T15:21:14.822Z" },
+    { url = "https://files.pythonhosted.org/packages/e0/25/dd5c0f6ac1311e9b40f4af06c78efde0f3b5cbf02502f8ef9501294c425b/MarkupSafe-3.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1c99d261bd2d5f6b59325c92c73df481e05e57f19837bdca8413b9eac4bd8028", size = 24149, upload-time = "2024-10-18T15:21:15.642Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/f0/89e7aadfb3749d0f52234a0c8c7867877876e0a20b60e2188e9850794c17/MarkupSafe-3.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e17c96c14e19278594aa4841ec148115f9c7615a47382ecb6b82bd8fea3ab0c8", size = 23118, upload-time = "2024-10-18T15:21:17.133Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/da/f2eeb64c723f5e3777bc081da884b414671982008c47dcc1873d81f625b6/MarkupSafe-3.0.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:88416bd1e65dcea10bc7569faacb2c20ce071dd1f87539ca2ab364bf6231393c", size = 22993, upload-time = "2024-10-18T15:21:18.064Z" },
+    { url = "https://files.pythonhosted.org/packages/da/0e/1f32af846df486dce7c227fe0f2398dc7e2e51d4a370508281f3c1c5cddc/MarkupSafe-3.0.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:2181e67807fc2fa785d0592dc2d6206c019b9502410671cc905d132a92866557", size = 24178, upload-time = "2024-10-18T15:21:18.859Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/f6/bb3ca0532de8086cbff5f06d137064c8410d10779c4c127e0e47d17c0b71/MarkupSafe-3.0.2-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:52305740fe773d09cffb16f8ed0427942901f00adedac82ec8b67752f58a1b22", size = 23319, upload-time = "2024-10-18T15:21:19.671Z" },
+    { url = "https://files.pythonhosted.org/packages/a2/82/8be4c96ffee03c5b4a034e60a31294daf481e12c7c43ab8e34a1453ee48b/MarkupSafe-3.0.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:ad10d3ded218f1039f11a75f8091880239651b52e9bb592ca27de44eed242a48", size = 23352, upload-time = "2024-10-18T15:21:20.971Z" },
+    { url = "https://files.pythonhosted.org/packages/51/ae/97827349d3fcffee7e184bdf7f41cd6b88d9919c80f0263ba7acd1bbcb18/MarkupSafe-3.0.2-cp312-cp312-win32.whl", hash = "sha256:0f4ca02bea9a23221c0182836703cbf8930c5e9454bacce27e767509fa286a30", size = 15097, upload-time = "2024-10-18T15:21:22.646Z" },
+    { url = "https://files.pythonhosted.org/packages/c1/80/a61f99dc3a936413c3ee4e1eecac96c0da5ed07ad56fd975f1a9da5bc630/MarkupSafe-3.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:8e06879fc22a25ca47312fbe7c8264eb0b662f6db27cb2d3bbbc74b1df4b9b87", size = 15601, upload-time = "2024-10-18T15:21:23.499Z" },
+    { url = "https://files.pythonhosted.org/packages/83/0e/67eb10a7ecc77a0c2bbe2b0235765b98d164d81600746914bebada795e97/MarkupSafe-3.0.2-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:ba9527cdd4c926ed0760bc301f6728ef34d841f405abf9d4f959c478421e4efd", size = 14274, upload-time = "2024-10-18T15:21:24.577Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/6d/9409f3684d3335375d04e5f05744dfe7e9f120062c9857df4ab490a1031a/MarkupSafe-3.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:f8b3d067f2e40fe93e1ccdd6b2e1d16c43140e76f02fb1319a05cf2b79d99430", size = 12352, upload-time = "2024-10-18T15:21:25.382Z" },
+    { url = "https://files.pythonhosted.org/packages/d2/f5/6eadfcd3885ea85fe2a7c128315cc1bb7241e1987443d78c8fe712d03091/MarkupSafe-3.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:569511d3b58c8791ab4c2e1285575265991e6d8f8700c7be0e88f86cb0672094", size = 24122, upload-time = "2024-10-18T15:21:26.199Z" },
+    { url = "https://files.pythonhosted.org/packages/0c/91/96cf928db8236f1bfab6ce15ad070dfdd02ed88261c2afafd4b43575e9e9/MarkupSafe-3.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15ab75ef81add55874e7ab7055e9c397312385bd9ced94920f2802310c930396", size = 23085, upload-time = "2024-10-18T15:21:27.029Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/cf/c9d56af24d56ea04daae7ac0940232d31d5a8354f2b457c6d856b2057d69/MarkupSafe-3.0.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f3818cb119498c0678015754eba762e0d61e5b52d34c8b13d770f0719f7b1d79", size = 22978, upload-time = "2024-10-18T15:21:27.846Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/9f/8619835cd6a711d6272d62abb78c033bda638fdc54c4e7f4272cf1c0962b/MarkupSafe-3.0.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:cdb82a876c47801bb54a690c5ae105a46b392ac6099881cdfb9f6e95e4014c6a", size = 24208, upload-time = "2024-10-18T15:21:28.744Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/bf/176950a1792b2cd2102b8ffeb5133e1ed984547b75db47c25a67d3359f77/MarkupSafe-3.0.2-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:cabc348d87e913db6ab4aa100f01b08f481097838bdddf7c7a84b7575b7309ca", size = 23357, upload-time = "2024-10-18T15:21:29.545Z" },
+    { url = "https://files.pythonhosted.org/packages/ce/4f/9a02c1d335caabe5c4efb90e1b6e8ee944aa245c1aaaab8e8a618987d816/MarkupSafe-3.0.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:444dcda765c8a838eaae23112db52f1efaf750daddb2d9ca300bcae1039adc5c", size = 23344, upload-time = "2024-10-18T15:21:30.366Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/55/c271b57db36f748f0e04a759ace9f8f759ccf22b4960c270c78a394f58be/MarkupSafe-3.0.2-cp313-cp313-win32.whl", hash = "sha256:bcf3e58998965654fdaff38e58584d8937aa3096ab5354d493c77d1fdd66d7a1", size = 15101, upload-time = "2024-10-18T15:21:31.207Z" },
+    { url = "https://files.pythonhosted.org/packages/29/88/07df22d2dd4df40aba9f3e402e6dc1b8ee86297dddbad4872bd5e7b0094f/MarkupSafe-3.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:e6a2a455bd412959b57a172ce6328d2dd1f01cb2135efda2e4576e8a23fa3b0f", size = 15603, upload-time = "2024-10-18T15:21:32.032Z" },
+    { url = "https://files.pythonhosted.org/packages/62/6a/8b89d24db2d32d433dffcd6a8779159da109842434f1dd2f6e71f32f738c/MarkupSafe-3.0.2-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:b5a6b3ada725cea8a5e634536b1b01c30bcdcd7f9c6fff4151548d5bf6b3a36c", size = 14510, upload-time = "2024-10-18T15:21:33.625Z" },
+    { url = "https://files.pythonhosted.org/packages/7a/06/a10f955f70a2e5a9bf78d11a161029d278eeacbd35ef806c3fd17b13060d/MarkupSafe-3.0.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:a904af0a6162c73e3edcb969eeeb53a63ceeb5d8cf642fade7d39e7963a22ddb", size = 12486, upload-time = "2024-10-18T15:21:34.611Z" },
+    { url = "https://files.pythonhosted.org/packages/34/cf/65d4a571869a1a9078198ca28f39fba5fbb910f952f9dbc5220afff9f5e6/MarkupSafe-3.0.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4aa4e5faecf353ed117801a068ebab7b7e09ffb6e1d5e412dc852e0da018126c", size = 25480, upload-time = "2024-10-18T15:21:35.398Z" },
+    { url = "https://files.pythonhosted.org/packages/0c/e3/90e9651924c430b885468b56b3d597cabf6d72be4b24a0acd1fa0e12af67/MarkupSafe-3.0.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0ef13eaeee5b615fb07c9a7dadb38eac06a0608b41570d8ade51c56539e509d", size = 23914, upload-time = "2024-10-18T15:21:36.231Z" },
+    { url = "https://files.pythonhosted.org/packages/66/8c/6c7cf61f95d63bb866db39085150df1f2a5bd3335298f14a66b48e92659c/MarkupSafe-3.0.2-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d16a81a06776313e817c951135cf7340a3e91e8c1ff2fac444cfd75fffa04afe", size = 23796, upload-time = "2024-10-18T15:21:37.073Z" },
+    { url = "https://files.pythonhosted.org/packages/bb/35/cbe9238ec3f47ac9a7c8b3df7a808e7cb50fe149dc7039f5f454b3fba218/MarkupSafe-3.0.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:6381026f158fdb7c72a168278597a5e3a5222e83ea18f543112b2662a9b699c5", size = 25473, upload-time = "2024-10-18T15:21:37.932Z" },
+    { url = "https://files.pythonhosted.org/packages/e6/32/7621a4382488aa283cc05e8984a9c219abad3bca087be9ec77e89939ded9/MarkupSafe-3.0.2-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:3d79d162e7be8f996986c064d1c7c817f6df3a77fe3d6859f6f9e7be4b8c213a", size = 24114, upload-time = "2024-10-18T15:21:39.799Z" },
+    { url = "https://files.pythonhosted.org/packages/0d/80/0985960e4b89922cb5a0bac0ed39c5b96cbc1a536a99f30e8c220a996ed9/MarkupSafe-3.0.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:131a3c7689c85f5ad20f9f6fb1b866f402c445b220c19fe4308c0b147ccd2ad9", size = 24098, upload-time = "2024-10-18T15:21:40.813Z" },
+    { url = "https://files.pythonhosted.org/packages/82/78/fedb03c7d5380df2427038ec8d973587e90561b2d90cd472ce9254cf348b/MarkupSafe-3.0.2-cp313-cp313t-win32.whl", hash = "sha256:ba8062ed2cf21c07a9e295d5b8a2a5ce678b913b45fdf68c32d95d6c1291e0b6", size = 15208, upload-time = "2024-10-18T15:21:41.814Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/65/6079a46068dfceaeabb5dcad6d674f5f5c61a6fa5673746f42a9f4c233b3/MarkupSafe-3.0.2-cp313-cp313t-win_amd64.whl", hash = "sha256:e444a31f8db13eb18ada366ab3cf45fd4b31e4db1236a4448f68778c1d1a5a2f", size = 15739, upload-time = "2024-10-18T15:21:42.784Z" },
+]
+
+[[package]]
+name = "matplotlib"
+version = "3.10.3"
+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/26/91/d49359a21893183ed2a5b6c76bec40e0b1dcbf8ca148f864d134897cfc75/matplotlib-3.10.3.tar.gz", hash = "sha256:2f82d2c5bb7ae93aaaa4cd42aca65d76ce6376f83304fa3a630b569aca274df0", size = 34799811, upload-time = "2025-05-08T19:10:54.39Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/eb/43/6b80eb47d1071f234ef0c96ca370c2ca621f91c12045f1401b5c9b28a639/matplotlib-3.10.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:0ab1affc11d1f495ab9e6362b8174a25afc19c081ba5b0775ef00533a4236eea", size = 8179689, upload-time = "2025-05-08T19:10:07.602Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/70/d61a591958325c357204870b5e7b164f93f2a8cca1dc6ce940f563909a13/matplotlib-3.10.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2a818d8bdcafa7ed2eed74487fdb071c09c1ae24152d403952adad11fa3c65b4", size = 8050466, upload-time = "2025-05-08T19:10:09.383Z" },
+    { url = "https://files.pythonhosted.org/packages/e7/75/70c9d2306203148cc7902a961240c5927dd8728afedf35e6a77e105a2985/matplotlib-3.10.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:748ebc3470c253e770b17d8b0557f0aa85cf8c63fd52f1a61af5b27ec0b7ffee", size = 8456252, upload-time = "2025-05-08T19:10:11.958Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/91/ba0ae1ff4b3f30972ad01cd4a8029e70a0ec3b8ea5be04764b128b66f763/matplotlib-3.10.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ed70453fd99733293ace1aec568255bc51c6361cb0da94fa5ebf0649fdb2150a", size = 8601321, upload-time = "2025-05-08T19:10:14.47Z" },
+    { url = "https://files.pythonhosted.org/packages/d2/88/d636041eb54a84b889e11872d91f7cbf036b3b0e194a70fa064eb8b04f7a/matplotlib-3.10.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:dbed9917b44070e55640bd13419de83b4c918e52d97561544814ba463811cbc7", size = 9406972, upload-time = "2025-05-08T19:10:16.569Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/79/0d1c165eac44405a86478082e225fce87874f7198300bbebc55faaf6d28d/matplotlib-3.10.3-cp312-cp312-win_amd64.whl", hash = "sha256:cf37d8c6ef1a48829443e8ba5227b44236d7fcaf7647caa3178a4ff9f7a5be05", size = 8067954, upload-time = "2025-05-08T19:10:18.663Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/c1/23cfb566a74c696a3b338d8955c549900d18fe2b898b6e94d682ca21e7c2/matplotlib-3.10.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:9f2efccc8dcf2b86fc4ee849eea5dcaecedd0773b30f47980dc0cbeabf26ec84", size = 8180318, upload-time = "2025-05-08T19:10:20.426Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/0c/02f1c3b66b30da9ee343c343acbb6251bef5b01d34fad732446eaadcd108/matplotlib-3.10.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3ddbba06a6c126e3301c3d272a99dcbe7f6c24c14024e80307ff03791a5f294e", size = 8051132, upload-time = "2025-05-08T19:10:22.569Z" },
+    { url = "https://files.pythonhosted.org/packages/b4/ab/8db1a5ac9b3a7352fb914133001dae889f9fcecb3146541be46bed41339c/matplotlib-3.10.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:748302b33ae9326995b238f606e9ed840bf5886ebafcb233775d946aa8107a15", size = 8457633, upload-time = "2025-05-08T19:10:24.749Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/64/41c4367bcaecbc03ef0d2a3ecee58a7065d0a36ae1aa817fe573a2da66d4/matplotlib-3.10.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a80fcccbef63302c0efd78042ea3c2436104c5b1a4d3ae20f864593696364ac7", size = 8601031, upload-time = "2025-05-08T19:10:27.03Z" },
+    { url = "https://files.pythonhosted.org/packages/12/6f/6cc79e9e5ab89d13ed64da28898e40fe5b105a9ab9c98f83abd24e46d7d7/matplotlib-3.10.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:55e46cbfe1f8586adb34f7587c3e4f7dedc59d5226719faf6cb54fc24f2fd52d", size = 9406988, upload-time = "2025-05-08T19:10:29.056Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/0f/eed564407bd4d935ffabf561ed31099ed609e19287409a27b6d336848653/matplotlib-3.10.3-cp313-cp313-win_amd64.whl", hash = "sha256:151d89cb8d33cb23345cd12490c76fd5d18a56581a16d950b48c6ff19bb2ab93", size = 8068034, upload-time = "2025-05-08T19:10:31.221Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/e5/2f14791ff69b12b09e9975e1d116d9578ac684460860ce542c2588cb7a1c/matplotlib-3.10.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:c26dd9834e74d164d06433dc7be5d75a1e9890b926b3e57e74fa446e1a62c3e2", size = 8218223, upload-time = "2025-05-08T19:10:33.114Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/08/30a94afd828b6e02d0a52cae4a29d6e9ccfcf4c8b56cc28b021d3588873e/matplotlib-3.10.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:24853dad5b8c84c8c2390fc31ce4858b6df504156893292ce8092d190ef8151d", size = 8094985, upload-time = "2025-05-08T19:10:35.337Z" },
+    { url = "https://files.pythonhosted.org/packages/89/44/f3bc6b53066c889d7a1a3ea8094c13af6a667c5ca6220ec60ecceec2dabe/matplotlib-3.10.3-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:68f7878214d369d7d4215e2a9075fef743be38fa401d32e6020bab2dfabaa566", size = 8483109, upload-time = "2025-05-08T19:10:37.611Z" },
+    { url = "https://files.pythonhosted.org/packages/ba/c7/473bc559beec08ebee9f86ca77a844b65747e1a6c2691e8c92e40b9f42a8/matplotlib-3.10.3-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6929fc618cb6db9cb75086f73b3219bbb25920cb24cee2ea7a12b04971a4158", size = 8618082, upload-time = "2025-05-08T19:10:39.892Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/e9/6ce8edd264c8819e37bbed8172e0ccdc7107fe86999b76ab5752276357a4/matplotlib-3.10.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:6c7818292a5cc372a2dc4c795e5c356942eb8350b98ef913f7fda51fe175ac5d", size = 9413699, upload-time = "2025-05-08T19:10:42.376Z" },
+    { url = "https://files.pythonhosted.org/packages/1b/92/9a45c91089c3cf690b5badd4be81e392ff086ccca8a1d4e3a08463d8a966/matplotlib-3.10.3-cp313-cp313t-win_amd64.whl", hash = "sha256:4f23ffe95c5667ef8a2b56eea9b53db7f43910fa4a2d5472ae0f72b64deab4d5", size = 8139044, upload-time = "2025-05-08T19:10:44.551Z" },
+]
+
+[[package]]
+name = "matplotlib-inline"
+version = "0.1.7"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/99/5b/a36a337438a14116b16480db471ad061c36c3694df7c2084a0da7ba538b7/matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90", size = 8159, upload-time = "2024-04-15T13:44:44.803Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/8f/8e/9ad090d3553c280a8060fbf6e24dc1c0c29704ee7d1c372f0c174aa59285/matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca", size = 9899, upload-time = "2024-04-15T13:44:43.265Z" },
+]
+
+[[package]]
+name = "mdit-py-plugins"
+version = "0.4.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "markdown-it-py" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/19/03/a2ecab526543b152300717cf232bb4bb8605b6edb946c845016fa9c9c9fd/mdit_py_plugins-0.4.2.tar.gz", hash = "sha256:5f2cd1fdb606ddf152d37ec30e46101a60512bc0e5fa1a7002c36647b09e26b5", size = 43542, upload-time = "2024-09-09T20:27:49.564Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a7/f7/7782a043553ee469c1ff49cfa1cdace2d6bf99a1f333cf38676b3ddf30da/mdit_py_plugins-0.4.2-py3-none-any.whl", hash = "sha256:0c673c3f889399a33b95e88d2f0d111b4447bdfea7f237dab2d488f459835636", size = 55316, upload-time = "2024-09-09T20:27:48.397Z" },
+]
+
+[[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 = "mistune"
+version = "3.1.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/c4/79/bda47f7dd7c3c55770478d6d02c9960c430b0cf1773b72366ff89126ea31/mistune-3.1.3.tar.gz", hash = "sha256:a7035c21782b2becb6be62f8f25d3df81ccb4d6fa477a6525b15af06539f02a0", size = 94347, upload-time = "2025-03-19T14:27:24.955Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/01/4d/23c4e4f09da849e127e9f123241946c23c1e30f45a88366879e064211815/mistune-3.1.3-py3-none-any.whl", hash = "sha256:1a32314113cff28aa6432e99e522677c8587fd83e3d51c29b82a52409c842bd9", size = 53410, upload-time = "2025-03-19T14:27:23.451Z" },
+]
+
+[[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 = "1.4.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "markdown" },
+    { name = "markupsafe" },
+    { name = "mkdocs" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/47/0c/c9826f35b99c67fa3a7cddfa094c1a6c43fafde558c309c6e4403e5b37dc/mkdocs_autorefs-1.4.2.tar.gz", hash = "sha256:e2ebe1abd2b67d597ed19378c0fff84d73d1dbce411fce7a7cc6f161888b6749", size = 54961, upload-time = "2025-05-20T13:09:09.886Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/87/dc/fc063b78f4b769d1956319351704e23ebeba1e9e1d6a41b4b602325fd7e4/mkdocs_autorefs-1.4.2-py3-none-any.whl", hash = "sha256:83d6d777b66ec3c372a1aad4ae0cf77c243ba5bcda5bf0c6b8a2c5e7a3d89f13", size = 24969, upload-time = "2025-05-20T13:09:08.237Z" },
+]
+
+[[package]]
+name = "mkdocs-get-deps"
+version = "0.2.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "mergedeep" },
+    { name = "platformdirs" },
+    { name = "pyyaml" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/98/f5/ed29cd50067784976f25ed0ed6fcd3c2ce9eb90650aa3b2796ddf7b6870b/mkdocs_get_deps-0.2.0.tar.gz", hash = "sha256:162b3d129c7fad9b19abfdcb9c1458a651628e4b1dea628ac68790fb3061c60c", size = 10239, upload-time = "2023-11-20T17:51:09.981Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/9f/d4/029f984e8d3f3b6b726bd33cafc473b75e9e44c0f7e80a5b29abc466bdea/mkdocs_get_deps-0.2.0-py3-none-any.whl", hash = "sha256:2bf11d0b133e77a0dd036abeeb06dec8775e46efa526dc70667d8863eefc6134", size = 9521, upload-time = "2023-11-20T17:51:08.587Z" },
+]
+
+[[package]]
+name = "mkdocs-jupyter"
+version = "0.25.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "ipykernel" },
+    { name = "jupytext" },
+    { name = "mkdocs" },
+    { name = "mkdocs-material" },
+    { name = "nbconvert" },
+    { name = "pygments" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/6c/23/6ffb8d2fd2117aa860a04c6fe2510b21bc3c3c085907ffdd851caba53152/mkdocs_jupyter-0.25.1.tar.gz", hash = "sha256:0e9272ff4947e0ec683c92423a4bfb42a26477c103ab1a6ab8277e2dcc8f7afe", size = 1626747, upload-time = "2024-10-15T14:56:32.373Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/08/37/5f1fd5c3f6954b3256f8126275e62af493b96fb6aef6c0dbc4ee326032ad/mkdocs_jupyter-0.25.1-py3-none-any.whl", hash = "sha256:3f679a857609885d322880e72533ef5255561bbfdb13cfee2a1e92ef4d4ad8d8", size = 1456197, upload-time = "2024-10-15T14:56:29.854Z" },
+]
+
+[[package]]
+name = "mkdocs-material"
+version = "9.6.14"
+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/b3/fa/0101de32af88f87cf5cc23ad5f2e2030d00995f74e616306513431b8ab4b/mkdocs_material-9.6.14.tar.gz", hash = "sha256:39d795e90dce6b531387c255bd07e866e027828b7346d3eba5ac3de265053754", size = 3951707, upload-time = "2025-05-13T13:27:57.173Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3a/a1/7fdb959ad592e013c01558822fd3c22931a95a0f08cf0a7c36da13a5b2b5/mkdocs_material-9.6.14-py3-none-any.whl", hash = "sha256:3b9cee6d3688551bf7a8e8f41afda97a3c39a12f0325436d76c86706114b721b", size = 8703767, upload-time = "2025-05-13T13:27:54.089Z" },
+]
+
+[[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 = "0.29.1"
+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/41/e8/d22922664a627a0d3d7ff4a6ca95800f5dde54f411982591b4621a76225d/mkdocstrings-0.29.1.tar.gz", hash = "sha256:8722f8f8c5cd75da56671e0a0c1bbed1df9946c0cef74794d6141b34011abd42", size = 1212686, upload-time = "2025-03-31T08:33:11.997Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/98/14/22533a578bf8b187e05d67e2c1721ce10e3f526610eebaf7a149d557ea7a/mkdocstrings-0.29.1-py3-none-any.whl", hash = "sha256:37a9736134934eea89cbd055a513d40a020d87dfcae9e3052c2a6b8cd4af09b6", size = 1631075, upload-time = "2025-03-31T08:33:09.661Z" },
+]
+
+[package.optional-dependencies]
+python = [
+    { name = "mkdocstrings-python" },
+]
+
+[[package]]
+name = "mkdocstrings-python"
+version = "1.16.12"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "griffe" },
+    { name = "mkdocs-autorefs" },
+    { name = "mkdocstrings" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/bf/ed/b886f8c714fd7cccc39b79646b627dbea84cd95c46be43459ef46852caf0/mkdocstrings_python-1.16.12.tar.gz", hash = "sha256:9b9eaa066e0024342d433e332a41095c4e429937024945fea511afe58f63175d", size = 206065, upload-time = "2025-06-03T12:52:49.276Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3b/dd/a24ee3de56954bfafb6ede7cd63c2413bb842cc48eb45e41c43a05a33074/mkdocstrings_python-1.16.12-py3-none-any.whl", hash = "sha256:22ded3a63b3d823d57457a70ff9860d5a4de9e8b1e482876fc9baabaf6f5f374", size = 124287, upload-time = "2025-06-03T12:52:47.819Z" },
+]
+
+[[package]]
+name = "nbclient"
+version = "0.10.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "jupyter-client" },
+    { name = "jupyter-core" },
+    { name = "nbformat" },
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/87/66/7ffd18d58eae90d5721f9f39212327695b749e23ad44b3881744eaf4d9e8/nbclient-0.10.2.tar.gz", hash = "sha256:90b7fc6b810630db87a6d0c2250b1f0ab4cf4d3c27a299b0cde78a4ed3fd9193", size = 62424, upload-time = "2024-12-19T10:32:27.164Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/34/6d/e7fa07f03a4a7b221d94b4d586edb754a9b0dc3c9e2c93353e9fa4e0d117/nbclient-0.10.2-py3-none-any.whl", hash = "sha256:4ffee11e788b4a27fabeb7955547e4318a5298f34342a4bfd01f2e1faaeadc3d", size = 25434, upload-time = "2024-12-19T10:32:24.139Z" },
+]
+
+[[package]]
+name = "nbconvert"
+version = "7.16.6"
+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/a3/59/f28e15fc47ffb73af68a8d9b47367a8630d76e97ae85ad18271b9db96fdf/nbconvert-7.16.6.tar.gz", hash = "sha256:576a7e37c6480da7b8465eefa66c17844243816ce1ccc372633c6b71c3c0f582", size = 857715, upload-time = "2025-01-28T09:29:14.724Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/cc/9a/cd673b2f773a12c992f41309ef81b99da1690426bd2f96957a7ade0d3ed7/nbconvert-7.16.6-py3-none-any.whl", hash = "sha256:1375a7b67e0c2883678c48e506dc320febb57685e5ee67faa51b18a90f3a712b", size = 258525, upload-time = "2025-01-28T09:29:12.551Z" },
+]
+
+[[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 = "numpy"
+version = "2.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f3/db/8e12381333aea300890829a0a36bfa738cac95475d88982d538725143fd9/numpy-2.3.0.tar.gz", hash = "sha256:581f87f9e9e9db2cba2141400e160e9dd644ee248788d6f90636eeb8fd9260a6", size = 20382813, upload-time = "2025-06-07T14:54:32.608Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/89/59/9df493df81ac6f76e9f05cdbe013cdb0c9a37b434f6e594f5bd25e278908/numpy-2.3.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:389b85335838155a9076e9ad7f8fdba0827496ec2d2dc32ce69ce7898bde03ba", size = 20897025, upload-time = "2025-06-07T14:40:33.558Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/86/4ff04335901d6cf3a6bb9c748b0097546ae5af35e455ae9b962ebff4ecd7/numpy-2.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9498f60cd6bb8238d8eaf468a3d5bb031d34cd12556af53510f05fcf581c1b7e", size = 14129882, upload-time = "2025-06-07T14:40:55.034Z" },
+    { url = "https://files.pythonhosted.org/packages/71/8d/a942cd4f959de7f08a79ab0c7e6cecb7431d5403dce78959a726f0f57aa1/numpy-2.3.0-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:622a65d40d8eb427d8e722fd410ac3ad4958002f109230bc714fa551044ebae2", size = 5110181, upload-time = "2025-06-07T14:41:04.4Z" },
+    { url = "https://files.pythonhosted.org/packages/86/5d/45850982efc7b2c839c5626fb67fbbc520d5b0d7c1ba1ae3651f2f74c296/numpy-2.3.0-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:b9446d9d8505aadadb686d51d838f2b6688c9e85636a0c3abaeb55ed54756459", size = 6647581, upload-time = "2025-06-07T14:41:14.695Z" },
+    { url = "https://files.pythonhosted.org/packages/1a/c0/c871d4a83f93b00373d3eebe4b01525eee8ef10b623a335ec262b58f4dc1/numpy-2.3.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:50080245365d75137a2bf46151e975de63146ae6d79f7e6bd5c0e85c9931d06a", size = 14262317, upload-time = "2025-06-07T14:41:35.862Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/f6/bc47f5fa666d5ff4145254f9e618d56e6a4ef9b874654ca74c19113bb538/numpy-2.3.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:c24bb4113c66936eeaa0dc1e47c74770453d34f46ee07ae4efd853a2ed1ad10a", size = 16633919, upload-time = "2025-06-07T14:42:00.622Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/b4/65f48009ca0c9b76df5f404fccdea5a985a1bb2e34e97f21a17d9ad1a4ba/numpy-2.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4d8d294287fdf685281e671886c6dcdf0291a7c19db3e5cb4178d07ccf6ecc67", size = 15567651, upload-time = "2025-06-07T14:42:24.429Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/62/5367855a2018578e9334ed08252ef67cc302e53edc869666f71641cad40b/numpy-2.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:6295f81f093b7f5769d1728a6bd8bf7466de2adfa771ede944ce6711382b89dc", size = 18361723, upload-time = "2025-06-07T14:42:51.167Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/75/5baed8cd867eabee8aad1e74d7197d73971d6a3d40c821f1848b8fab8b84/numpy-2.3.0-cp312-cp312-win32.whl", hash = "sha256:e6648078bdd974ef5d15cecc31b0c410e2e24178a6e10bf511e0557eed0f2570", size = 6318285, upload-time = "2025-06-07T14:43:02.052Z" },
+    { url = "https://files.pythonhosted.org/packages/bc/49/d5781eaa1a15acb3b3a3f49dc9e2ff18d92d0ce5c2976f4ab5c0a7360250/numpy-2.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:0898c67a58cdaaf29994bc0e2c65230fd4de0ac40afaf1584ed0b02cd74c6fdd", size = 12732594, upload-time = "2025-06-07T14:43:21.071Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/1c/6d343e030815c7c97a1f9fbad00211b47717c7fe446834c224bd5311e6f1/numpy-2.3.0-cp312-cp312-win_arm64.whl", hash = "sha256:bd8df082b6c4695753ad6193018c05aac465d634834dca47a3ae06d4bb22d9ea", size = 9891498, upload-time = "2025-06-07T14:43:36.332Z" },
+    { url = "https://files.pythonhosted.org/packages/73/fc/1d67f751fd4dbafc5780244fe699bc4084268bad44b7c5deb0492473127b/numpy-2.3.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:5754ab5595bfa2c2387d241296e0381c21f44a4b90a776c3c1d39eede13a746a", size = 20889633, upload-time = "2025-06-07T14:44:06.839Z" },
+    { url = "https://files.pythonhosted.org/packages/e8/95/73ffdb69e5c3f19ec4530f8924c4386e7ba097efc94b9c0aff607178ad94/numpy-2.3.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d11fa02f77752d8099573d64e5fe33de3229b6632036ec08f7080f46b6649959", size = 14151683, upload-time = "2025-06-07T14:44:28.847Z" },
+    { url = "https://files.pythonhosted.org/packages/64/d5/06d4bb31bb65a1d9c419eb5676173a2f90fd8da3c59f816cc54c640ce265/numpy-2.3.0-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:aba48d17e87688a765ab1cd557882052f238e2f36545dfa8e29e6a91aef77afe", size = 5102683, upload-time = "2025-06-07T14:44:38.417Z" },
+    { url = "https://files.pythonhosted.org/packages/12/8b/6c2cef44f8ccdc231f6b56013dff1d71138c48124334aded36b1a1b30c5a/numpy-2.3.0-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:4dc58865623023b63b10d52f18abaac3729346a7a46a778381e0e3af4b7f3beb", size = 6640253, upload-time = "2025-06-07T14:44:49.359Z" },
+    { url = "https://files.pythonhosted.org/packages/62/aa/fca4bf8de3396ddb59544df9b75ffe5b73096174de97a9492d426f5cd4aa/numpy-2.3.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:df470d376f54e052c76517393fa443758fefcdd634645bc9c1f84eafc67087f0", size = 14258658, upload-time = "2025-06-07T14:45:10.156Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/12/734dce1087eed1875f2297f687e671cfe53a091b6f2f55f0c7241aad041b/numpy-2.3.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:87717eb24d4a8a64683b7a4e91ace04e2f5c7c77872f823f02a94feee186168f", size = 16628765, upload-time = "2025-06-07T14:45:35.076Z" },
+    { url = "https://files.pythonhosted.org/packages/48/03/ffa41ade0e825cbcd5606a5669962419528212a16082763fc051a7247d76/numpy-2.3.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:d8fa264d56882b59dcb5ea4d6ab6f31d0c58a57b41aec605848b6eb2ef4a43e8", size = 15564335, upload-time = "2025-06-07T14:45:58.797Z" },
+    { url = "https://files.pythonhosted.org/packages/07/58/869398a11863310aee0ff85a3e13b4c12f20d032b90c4b3ee93c3b728393/numpy-2.3.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e651756066a0eaf900916497e20e02fe1ae544187cb0fe88de981671ee7f6270", size = 18360608, upload-time = "2025-06-07T14:46:25.687Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/8a/5756935752ad278c17e8a061eb2127c9a3edf4ba2c31779548b336f23c8d/numpy-2.3.0-cp313-cp313-win32.whl", hash = "sha256:e43c3cce3b6ae5f94696669ff2a6eafd9a6b9332008bafa4117af70f4b88be6f", size = 6310005, upload-time = "2025-06-07T14:50:13.138Z" },
+    { url = "https://files.pythonhosted.org/packages/08/60/61d60cf0dfc0bf15381eaef46366ebc0c1a787856d1db0c80b006092af84/numpy-2.3.0-cp313-cp313-win_amd64.whl", hash = "sha256:81ae0bf2564cf475f94be4a27ef7bcf8af0c3e28da46770fc904da9abd5279b5", size = 12729093, upload-time = "2025-06-07T14:50:31.82Z" },
+    { url = "https://files.pythonhosted.org/packages/66/31/2f2f2d2b3e3c32d5753d01437240feaa32220b73258c9eef2e42a0832866/numpy-2.3.0-cp313-cp313-win_arm64.whl", hash = "sha256:c8738baa52505fa6e82778580b23f945e3578412554d937093eac9205e845e6e", size = 9885689, upload-time = "2025-06-07T14:50:47.888Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/89/c7828f23cc50f607ceb912774bb4cff225ccae7131c431398ad8400e2c98/numpy-2.3.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:39b27d8b38942a647f048b675f134dd5a567f95bfff481f9109ec308515c51d8", size = 20986612, upload-time = "2025-06-07T14:46:56.077Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/46/79ecf47da34c4c50eedec7511e53d57ffdfd31c742c00be7dc1d5ffdb917/numpy-2.3.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:0eba4a1ea88f9a6f30f56fdafdeb8da3774349eacddab9581a21234b8535d3d3", size = 14298953, upload-time = "2025-06-07T14:47:18.053Z" },
+    { url = "https://files.pythonhosted.org/packages/59/44/f6caf50713d6ff4480640bccb2a534ce1d8e6e0960c8f864947439f0ee95/numpy-2.3.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:b0f1f11d0a1da54927436505a5a7670b154eac27f5672afc389661013dfe3d4f", size = 5225806, upload-time = "2025-06-07T14:47:27.524Z" },
+    { url = "https://files.pythonhosted.org/packages/a6/43/e1fd1aca7c97e234dd05e66de4ab7a5be54548257efcdd1bc33637e72102/numpy-2.3.0-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:690d0a5b60a47e1f9dcec7b77750a4854c0d690e9058b7bef3106e3ae9117808", size = 6735169, upload-time = "2025-06-07T14:47:38.057Z" },
+    { url = "https://files.pythonhosted.org/packages/84/89/f76f93b06a03177c0faa7ca94d0856c4e5c4bcaf3c5f77640c9ed0303e1c/numpy-2.3.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:8b51ead2b258284458e570942137155978583e407babc22e3d0ed7af33ce06f8", size = 14330701, upload-time = "2025-06-07T14:47:59.113Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/f5/4858c3e9ff7a7d64561b20580cf7cc5d085794bd465a19604945d6501f6c/numpy-2.3.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:aaf81c7b82c73bd9b45e79cfb9476cb9c29e937494bfe9092c26aece812818ad", size = 16692983, upload-time = "2025-06-07T14:48:24.196Z" },
+    { url = "https://files.pythonhosted.org/packages/08/17/0e3b4182e691a10e9483bcc62b4bb8693dbf9ea5dc9ba0b77a60435074bb/numpy-2.3.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:f420033a20b4f6a2a11f585f93c843ac40686a7c3fa514060a97d9de93e5e72b", size = 15641435, upload-time = "2025-06-07T14:48:47.712Z" },
+    { url = "https://files.pythonhosted.org/packages/4e/d5/463279fda028d3c1efa74e7e8d507605ae87f33dbd0543cf4c4527c8b882/numpy-2.3.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:d344ca32ab482bcf8735d8f95091ad081f97120546f3d250240868430ce52555", size = 18433798, upload-time = "2025-06-07T14:49:14.866Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/1e/7a9d98c886d4c39a2b4d3a7c026bffcf8fbcaf518782132d12a301cfc47a/numpy-2.3.0-cp313-cp313t-win32.whl", hash = "sha256:48a2e8eaf76364c32a1feaa60d6925eaf32ed7a040183b807e02674305beef61", size = 6438632, upload-time = "2025-06-07T14:49:25.67Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/ab/66fc909931d5eb230107d016861824f335ae2c0533f422e654e5ff556784/numpy-2.3.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ba17f93a94e503551f154de210e4d50c5e3ee20f7e7a1b5f6ce3f22d419b93bb", size = 12868491, upload-time = "2025-06-07T14:49:44.898Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/e8/2c8a1c9e34d6f6d600c83d5ce5b71646c32a13f34ca5c518cc060639841c/numpy-2.3.0-cp313-cp313t-win_arm64.whl", hash = "sha256:f14e016d9409680959691c109be98c436c6249eaf7f118b424679793607b5944", size = 9935345, upload-time = "2025-06-07T14:50:02.311Z" },
+]
+
+[[package]]
+name = "packaging"
+version = "25.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/a1/d4/1fc4078c65507b51b96ca8f8c3ba19e6a61c8253c72794544580a7b6c24d/packaging-25.0.tar.gz", hash = "sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f", size = 165727, upload-time = "2025-04-19T11:48:59.673Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/20/12/38679034af332785aac8774540895e234f4d07f7545804097de4b666afd8/packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484", size = 66469, upload-time = "2025-04-19T11:48:57.875Z" },
+]
+
+[[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 = "2.3.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+    { name = "python-dateutil" },
+    { name = "pytz" },
+    { name = "tzdata" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/72/51/48f713c4c728d7c55ef7444ba5ea027c26998d96d1a40953b346438602fc/pandas-2.3.0.tar.gz", hash = "sha256:34600ab34ebf1131a7613a260a61dbe8b62c188ec0ea4c296da7c9a06b004133", size = 4484490, upload-time = "2025-06-05T03:27:54.133Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/94/46/24192607058dd607dbfacdd060a2370f6afb19c2ccb617406469b9aeb8e7/pandas-2.3.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:2eb4728a18dcd2908c7fccf74a982e241b467d178724545a48d0caf534b38ebf", size = 11573865, upload-time = "2025-06-05T03:26:46.774Z" },
+    { url = "https://files.pythonhosted.org/packages/9f/cc/ae8ea3b800757a70c9fdccc68b67dc0280a6e814efcf74e4211fd5dea1ca/pandas-2.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b9d8c3187be7479ea5c3d30c32a5d73d62a621166675063b2edd21bc47614027", size = 10702154, upload-time = "2025-06-05T16:50:14.439Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/ba/a7883d7aab3d24c6540a2768f679e7414582cc389876d469b40ec749d78b/pandas-2.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9ff730713d4c4f2f1c860e36c005c7cefc1c7c80c21c0688fd605aa43c9fcf09", size = 11262180, upload-time = "2025-06-05T16:50:17.453Z" },
+    { url = "https://files.pythonhosted.org/packages/01/a5/931fc3ad333d9d87b10107d948d757d67ebcfc33b1988d5faccc39c6845c/pandas-2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba24af48643b12ffe49b27065d3babd52702d95ab70f50e1b34f71ca703e2c0d", size = 11991493, upload-time = "2025-06-05T03:26:51.813Z" },
+    { url = "https://files.pythonhosted.org/packages/d7/bf/0213986830a92d44d55153c1d69b509431a972eb73f204242988c4e66e86/pandas-2.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:404d681c698e3c8a40a61d0cd9412cc7364ab9a9cc6e144ae2992e11a2e77a20", size = 12470733, upload-time = "2025-06-06T00:00:18.651Z" },
+    { url = "https://files.pythonhosted.org/packages/a4/0e/21eb48a3a34a7d4bac982afc2c4eb5ab09f2d988bdf29d92ba9ae8e90a79/pandas-2.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:6021910b086b3ca756755e86ddc64e0ddafd5e58e076c72cb1585162e5ad259b", size = 13212406, upload-time = "2025-06-05T03:26:55.992Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/d9/74017c4eec7a28892d8d6e31ae9de3baef71f5a5286e74e6b7aad7f8c837/pandas-2.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:094e271a15b579650ebf4c5155c05dcd2a14fd4fdd72cf4854b2f7ad31ea30be", size = 10976199, upload-time = "2025-06-05T03:26:59.594Z" },
+    { url = "https://files.pythonhosted.org/packages/d3/57/5cb75a56a4842bbd0511c3d1c79186d8315b82dac802118322b2de1194fe/pandas-2.3.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:2c7e2fc25f89a49a11599ec1e76821322439d90820108309bf42130d2f36c983", size = 11518913, upload-time = "2025-06-05T03:27:02.757Z" },
+    { url = "https://files.pythonhosted.org/packages/05/01/0c8785610e465e4948a01a059562176e4c8088aa257e2e074db868f86d4e/pandas-2.3.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:c6da97aeb6a6d233fb6b17986234cc723b396b50a3c6804776351994f2a658fd", size = 10655249, upload-time = "2025-06-05T16:50:20.17Z" },
+    { url = "https://files.pythonhosted.org/packages/e8/6a/47fd7517cd8abe72a58706aab2b99e9438360d36dcdb052cf917b7bf3bdc/pandas-2.3.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb32dc743b52467d488e7a7c8039b821da2826a9ba4f85b89ea95274f863280f", size = 11328359, upload-time = "2025-06-05T03:27:06.431Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/b3/463bfe819ed60fb7e7ddffb4ae2ee04b887b3444feee6c19437b8f834837/pandas-2.3.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:213cd63c43263dbb522c1f8a7c9d072e25900f6975596f883f4bebd77295d4f3", size = 12024789, upload-time = "2025-06-05T03:27:09.875Z" },
+    { url = "https://files.pythonhosted.org/packages/04/0c/e0704ccdb0ac40aeb3434d1c641c43d05f75c92e67525df39575ace35468/pandas-2.3.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:1d2b33e68d0ce64e26a4acc2e72d747292084f4e8db4c847c6f5f6cbe56ed6d8", size = 12480734, upload-time = "2025-06-06T00:00:22.246Z" },
+    { url = "https://files.pythonhosted.org/packages/e9/df/815d6583967001153bb27f5cf075653d69d51ad887ebbf4cfe1173a1ac58/pandas-2.3.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:430a63bae10b5086995db1b02694996336e5a8ac9a96b4200572b413dfdfccb9", size = 13223381, upload-time = "2025-06-05T03:27:15.641Z" },
+    { url = "https://files.pythonhosted.org/packages/79/88/ca5973ed07b7f484c493e941dbff990861ca55291ff7ac67c815ce347395/pandas-2.3.0-cp313-cp313-win_amd64.whl", hash = "sha256:4930255e28ff5545e2ca404637bcc56f031893142773b3468dc021c6c32a1390", size = 10970135, upload-time = "2025-06-05T03:27:24.131Z" },
+    { url = "https://files.pythonhosted.org/packages/24/fb/0994c14d1f7909ce83f0b1fb27958135513c4f3f2528bde216180aa73bfc/pandas-2.3.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:f925f1ef673b4bd0271b1809b72b3270384f2b7d9d14a189b12b7fc02574d575", size = 12141356, upload-time = "2025-06-05T03:27:34.547Z" },
+    { url = "https://files.pythonhosted.org/packages/9d/a2/9b903e5962134497ac4f8a96f862ee3081cb2506f69f8e4778ce3d9c9d82/pandas-2.3.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:e78ad363ddb873a631e92a3c063ade1ecfb34cae71e9a2be6ad100f875ac1042", size = 11474674, upload-time = "2025-06-05T03:27:39.448Z" },
+    { url = "https://files.pythonhosted.org/packages/81/3a/3806d041bce032f8de44380f866059437fb79e36d6b22c82c187e65f765b/pandas-2.3.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:951805d146922aed8357e4cc5671b8b0b9be1027f0619cea132a9f3f65f2f09c", size = 11439876, upload-time = "2025-06-05T03:27:43.652Z" },
+    { url = "https://files.pythonhosted.org/packages/15/aa/3fc3181d12b95da71f5c2537c3e3b3af6ab3a8c392ab41ebb766e0929bc6/pandas-2.3.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1a881bc1309f3fce34696d07b00f13335c41f5f5a8770a33b09ebe23261cfc67", size = 11966182, upload-time = "2025-06-05T03:27:47.652Z" },
+    { url = "https://files.pythonhosted.org/packages/37/e7/e12f2d9b0a2c4a2cc86e2aabff7ccfd24f03e597d770abfa2acd313ee46b/pandas-2.3.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:e1991bbb96f4050b09b5f811253c4f3cf05ee89a589379aa36cd623f21a31d6f", size = 12547686, upload-time = "2025-06-06T00:00:26.142Z" },
+    { url = "https://files.pythonhosted.org/packages/39/c2/646d2e93e0af70f4e5359d870a63584dacbc324b54d73e6b3267920ff117/pandas-2.3.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:bb3be958022198531eb7ec2008cfc78c5b1eed51af8600c6c5d9160d89d8d249", size = 13231847, upload-time = "2025-06-05T03:27:51.465Z" },
+]
+
+[[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 = "0.8.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/66/94/68e2e17afaa9169cf6412ab0f28623903be73d1b32e208d9e8e541bb086d/parso-0.8.4.tar.gz", hash = "sha256:eb3a7b58240fb99099a345571deecc0f9540ea5f4dd2fe14c2a99d6b281ab92d", size = 400609, upload-time = "2024-04-05T09:43:55.897Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c6/ac/dac4a63f978e4dcb3c6d3a78c4d8e0192a113d288502a1216950c41b1027/parso-0.8.4-py2.py3-none-any.whl", hash = "sha256:a418670a20291dacd2dddc80c377c5c3791378ee1e8d12bffc35420643d43f18", size = 103650, upload-time = "2024-04-05T09:43:53.299Z" },
+]
+
+[[package]]
+name = "pathspec"
+version = "0.12.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ca/bc/f35b8446f4531a7cb215605d100cd88b7ac6f44ab3fc94870c120ab3adbf/pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712", size = 51043, upload-time = "2023-12-10T22:30:45Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/cc/20/ff623b09d963f88bfde16306a54e12ee5ea43e9b597108672ff3a408aad6/pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08", size = 31191, upload-time = "2023-12-10T22:30:43.14Z" },
+]
+
+[[package]]
+name = "pexpect"
+version = "4.9.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "ptyprocess" },
+]
+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 = "11.2.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/af/cb/bb5c01fcd2a69335b86c22142b2bccfc3464087efb7fd382eee5ffc7fdf7/pillow-11.2.1.tar.gz", hash = "sha256:a64dd61998416367b7ef979b73d3a85853ba9bec4c2925f74e588879a58716b6", size = 47026707, upload-time = "2025-04-12T17:50:03.289Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c7/40/052610b15a1b8961f52537cc8326ca6a881408bc2bdad0d852edeb6ed33b/pillow-11.2.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:78afba22027b4accef10dbd5eed84425930ba41b3ea0a86fa8d20baaf19d807f", size = 3190185, upload-time = "2025-04-12T17:48:00.417Z" },
+    { url = "https://files.pythonhosted.org/packages/e5/7e/b86dbd35a5f938632093dc40d1682874c33dcfe832558fc80ca56bfcb774/pillow-11.2.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:78092232a4ab376a35d68c4e6d5e00dfd73454bd12b230420025fbe178ee3b0b", size = 3030306, upload-time = "2025-04-12T17:48:02.391Z" },
+    { url = "https://files.pythonhosted.org/packages/a4/5c/467a161f9ed53e5eab51a42923c33051bf8d1a2af4626ac04f5166e58e0c/pillow-11.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25a5f306095c6780c52e6bbb6109624b95c5b18e40aab1c3041da3e9e0cd3e2d", size = 4416121, upload-time = "2025-04-12T17:48:04.554Z" },
+    { url = "https://files.pythonhosted.org/packages/62/73/972b7742e38ae0e2ac76ab137ca6005dcf877480da0d9d61d93b613065b4/pillow-11.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c7b29dbd4281923a2bfe562acb734cee96bbb129e96e6972d315ed9f232bef4", size = 4501707, upload-time = "2025-04-12T17:48:06.831Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/3a/427e4cb0b9e177efbc1a84798ed20498c4f233abde003c06d2650a6d60cb/pillow-11.2.1-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:3e645b020f3209a0181a418bffe7b4a93171eef6c4ef6cc20980b30bebf17b7d", size = 4522921, upload-time = "2025-04-12T17:48:09.229Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/7c/d8b1330458e4d2f3f45d9508796d7caf0c0d3764c00c823d10f6f1a3b76d/pillow-11.2.1-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:b2dbea1012ccb784a65349f57bbc93730b96e85b42e9bf7b01ef40443db720b4", size = 4612523, upload-time = "2025-04-12T17:48:11.631Z" },
+    { url = "https://files.pythonhosted.org/packages/b3/2f/65738384e0b1acf451de5a573d8153fe84103772d139e1e0bdf1596be2ea/pillow-11.2.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:da3104c57bbd72948d75f6a9389e6727d2ab6333c3617f0a89d72d4940aa0443", size = 4587836, upload-time = "2025-04-12T17:48:13.592Z" },
+    { url = "https://files.pythonhosted.org/packages/6a/c5/e795c9f2ddf3debb2dedd0df889f2fe4b053308bb59a3cc02a0cd144d641/pillow-11.2.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:598174aef4589af795f66f9caab87ba4ff860ce08cd5bb447c6fc553ffee603c", size = 4669390, upload-time = "2025-04-12T17:48:15.938Z" },
+    { url = "https://files.pythonhosted.org/packages/96/ae/ca0099a3995976a9fce2f423166f7bff9b12244afdc7520f6ed38911539a/pillow-11.2.1-cp312-cp312-win32.whl", hash = "sha256:1d535df14716e7f8776b9e7fee118576d65572b4aad3ed639be9e4fa88a1cad3", size = 2332309, upload-time = "2025-04-12T17:48:17.885Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/18/24bff2ad716257fc03da964c5e8f05d9790a779a8895d6566e493ccf0189/pillow-11.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:14e33b28bf17c7a38eede290f77db7c664e4eb01f7869e37fa98a5aa95978941", size = 2676768, upload-time = "2025-04-12T17:48:19.655Z" },
+    { url = "https://files.pythonhosted.org/packages/da/bb/e8d656c9543276517ee40184aaa39dcb41e683bca121022f9323ae11b39d/pillow-11.2.1-cp312-cp312-win_arm64.whl", hash = "sha256:21e1470ac9e5739ff880c211fc3af01e3ae505859392bf65458c224d0bf283eb", size = 2415087, upload-time = "2025-04-12T17:48:21.991Z" },
+    { url = "https://files.pythonhosted.org/packages/36/9c/447528ee3776e7ab8897fe33697a7ff3f0475bb490c5ac1456a03dc57956/pillow-11.2.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:fdec757fea0b793056419bca3e9932eb2b0ceec90ef4813ea4c1e072c389eb28", size = 3190098, upload-time = "2025-04-12T17:48:23.915Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/09/29d5cd052f7566a63e5b506fac9c60526e9ecc553825551333e1e18a4858/pillow-11.2.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:b0e130705d568e2f43a17bcbe74d90958e8a16263868a12c3e0d9c8162690830", size = 3030166, upload-time = "2025-04-12T17:48:25.738Z" },
+    { url = "https://files.pythonhosted.org/packages/71/5d/446ee132ad35e7600652133f9c2840b4799bbd8e4adba881284860da0a36/pillow-11.2.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7bdb5e09068332578214cadd9c05e3d64d99e0e87591be22a324bdbc18925be0", size = 4408674, upload-time = "2025-04-12T17:48:27.908Z" },
+    { url = "https://files.pythonhosted.org/packages/69/5f/cbe509c0ddf91cc3a03bbacf40e5c2339c4912d16458fcb797bb47bcb269/pillow-11.2.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d189ba1bebfbc0c0e529159631ec72bb9e9bc041f01ec6d3233d6d82eb823bc1", size = 4496005, upload-time = "2025-04-12T17:48:29.888Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/b3/dd4338d8fb8a5f312021f2977fb8198a1184893f9b00b02b75d565c33b51/pillow-11.2.1-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:191955c55d8a712fab8934a42bfefbf99dd0b5875078240943f913bb66d46d9f", size = 4518707, upload-time = "2025-04-12T17:48:31.874Z" },
+    { url = "https://files.pythonhosted.org/packages/13/eb/2552ecebc0b887f539111c2cd241f538b8ff5891b8903dfe672e997529be/pillow-11.2.1-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:ad275964d52e2243430472fc5d2c2334b4fc3ff9c16cb0a19254e25efa03a155", size = 4610008, upload-time = "2025-04-12T17:48:34.422Z" },
+    { url = "https://files.pythonhosted.org/packages/72/d1/924ce51bea494cb6e7959522d69d7b1c7e74f6821d84c63c3dc430cbbf3b/pillow-11.2.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:750f96efe0597382660d8b53e90dd1dd44568a8edb51cb7f9d5d918b80d4de14", size = 4585420, upload-time = "2025-04-12T17:48:37.641Z" },
+    { url = "https://files.pythonhosted.org/packages/43/ab/8f81312d255d713b99ca37479a4cb4b0f48195e530cdc1611990eb8fd04b/pillow-11.2.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:fe15238d3798788d00716637b3d4e7bb6bde18b26e5d08335a96e88564a36b6b", size = 4667655, upload-time = "2025-04-12T17:48:39.652Z" },
+    { url = "https://files.pythonhosted.org/packages/94/86/8f2e9d2dc3d308dfd137a07fe1cc478df0a23d42a6c4093b087e738e4827/pillow-11.2.1-cp313-cp313-win32.whl", hash = "sha256:3fe735ced9a607fee4f481423a9c36701a39719252a9bb251679635f99d0f7d2", size = 2332329, upload-time = "2025-04-12T17:48:41.765Z" },
+    { url = "https://files.pythonhosted.org/packages/6d/ec/1179083b8d6067a613e4d595359b5fdea65d0a3b7ad623fee906e1b3c4d2/pillow-11.2.1-cp313-cp313-win_amd64.whl", hash = "sha256:74ee3d7ecb3f3c05459ba95eed5efa28d6092d751ce9bf20e3e253a4e497e691", size = 2676388, upload-time = "2025-04-12T17:48:43.625Z" },
+    { url = "https://files.pythonhosted.org/packages/23/f1/2fc1e1e294de897df39fa8622d829b8828ddad938b0eaea256d65b84dd72/pillow-11.2.1-cp313-cp313-win_arm64.whl", hash = "sha256:5119225c622403afb4b44bad4c1ca6c1f98eed79db8d3bc6e4e160fc6339d66c", size = 2414950, upload-time = "2025-04-12T17:48:45.475Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/3e/c328c48b3f0ead7bab765a84b4977acb29f101d10e4ef57a5e3400447c03/pillow-11.2.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:8ce2e8411c7aaef53e6bb29fe98f28cd4fbd9a1d9be2eeea434331aac0536b22", size = 3192759, upload-time = "2025-04-12T17:48:47.866Z" },
+    { url = "https://files.pythonhosted.org/packages/18/0e/1c68532d833fc8b9f404d3a642991441d9058eccd5606eab31617f29b6d4/pillow-11.2.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:9ee66787e095127116d91dea2143db65c7bb1e232f617aa5957c0d9d2a3f23a7", size = 3033284, upload-time = "2025-04-12T17:48:50.189Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/cb/6faf3fb1e7705fd2db74e070f3bf6f88693601b0ed8e81049a8266de4754/pillow-11.2.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9622e3b6c1d8b551b6e6f21873bdcc55762b4b2126633014cea1803368a9aa16", size = 4445826, upload-time = "2025-04-12T17:48:52.346Z" },
+    { url = "https://files.pythonhosted.org/packages/07/94/8be03d50b70ca47fb434a358919d6a8d6580f282bbb7af7e4aa40103461d/pillow-11.2.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63b5dff3a68f371ea06025a1a6966c9a1e1ee452fc8020c2cd0ea41b83e9037b", size = 4527329, upload-time = "2025-04-12T17:48:54.403Z" },
+    { url = "https://files.pythonhosted.org/packages/fd/a4/bfe78777076dc405e3bd2080bc32da5ab3945b5a25dc5d8acaa9de64a162/pillow-11.2.1-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:31df6e2d3d8fc99f993fd253e97fae451a8db2e7207acf97859732273e108406", size = 4549049, upload-time = "2025-04-12T17:48:56.383Z" },
+    { url = "https://files.pythonhosted.org/packages/65/4d/eaf9068dc687c24979e977ce5677e253624bd8b616b286f543f0c1b91662/pillow-11.2.1-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:062b7a42d672c45a70fa1f8b43d1d38ff76b63421cbbe7f88146b39e8a558d91", size = 4635408, upload-time = "2025-04-12T17:48:58.782Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/26/0fd443365d9c63bc79feb219f97d935cd4b93af28353cba78d8e77b61719/pillow-11.2.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:4eb92eca2711ef8be42fd3f67533765d9fd043b8c80db204f16c8ea62ee1a751", size = 4614863, upload-time = "2025-04-12T17:49:00.709Z" },
+    { url = "https://files.pythonhosted.org/packages/49/65/dca4d2506be482c2c6641cacdba5c602bc76d8ceb618fd37de855653a419/pillow-11.2.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:f91ebf30830a48c825590aede79376cb40f110b387c17ee9bd59932c961044f9", size = 4692938, upload-time = "2025-04-12T17:49:02.946Z" },
+    { url = "https://files.pythonhosted.org/packages/b3/92/1ca0c3f09233bd7decf8f7105a1c4e3162fb9142128c74adad0fb361b7eb/pillow-11.2.1-cp313-cp313t-win32.whl", hash = "sha256:e0b55f27f584ed623221cfe995c912c61606be8513bfa0e07d2c674b4516d9dd", size = 2335774, upload-time = "2025-04-12T17:49:04.889Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/ac/77525347cb43b83ae905ffe257bbe2cc6fd23acb9796639a1f56aa59d191/pillow-11.2.1-cp313-cp313t-win_amd64.whl", hash = "sha256:36d6b82164c39ce5482f649b437382c0fb2395eabc1e2b1702a6deb8ad647d6e", size = 2681895, upload-time = "2025-04-12T17:49:06.635Z" },
+    { url = "https://files.pythonhosted.org/packages/67/32/32dc030cfa91ca0fc52baebbba2e009bb001122a1daa8b6a79ad830b38d3/pillow-11.2.1-cp313-cp313t-win_arm64.whl", hash = "sha256:225c832a13326e34f212d2072982bb1adb210e0cc0b153e688743018c94a2681", size = 2417234, upload-time = "2025-04-12T17:49:08.399Z" },
+]
+
+[[package]]
+name = "platformdirs"
+version = "4.3.8"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/fe/8b/3c73abc9c759ecd3f1f7ceff6685840859e8070c4d947c93fae71f6a0bf2/platformdirs-4.3.8.tar.gz", hash = "sha256:3d512d96e16bcb959a814c9f348431070822a6496326a4be0911c40b5a74c2bc", size = 21362, upload-time = "2025-05-07T22:47:42.121Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fe/39/979e8e21520d4e47a0bbe349e2713c0aac6f3d853d0e5b34d76206c439aa/platformdirs-4.3.8-py3-none-any.whl", hash = "sha256:ff7059bb7eb1179e2685604f4aaf157cfd9535242bd23742eadc3c13542139b4", size = 18567, upload-time = "2025-05-07T22:47:40.376Z" },
+]
+
+[[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 = "prompt-toolkit"
+version = "3.0.51"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "wcwidth" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/bb/6e/9d084c929dfe9e3bfe0c6a47e31f78a25c54627d64a66e884a8bf5474f1c/prompt_toolkit-3.0.51.tar.gz", hash = "sha256:931a162e3b27fc90c86f1b48bb1fb2c528c2761475e57c9c06de13311c7b54ed", size = 428940, upload-time = "2025-04-15T09:18:47.731Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ce/4f/5249960887b1fbe561d9ff265496d170b55a735b76724f10ef19f9e40716/prompt_toolkit-3.0.51-py3-none-any.whl", hash = "sha256:52742911fde84e2d423e2f9a4cf1de7d7ac4e51958f648d9540e0fb8db077b07", size = 387810, upload-time = "2025-04-15T09:18:44.753Z" },
+]
+
+[[package]]
+name = "psutil"
+version = "7.0.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/2a/80/336820c1ad9286a4ded7e845b2eccfcb27851ab8ac6abece774a6ff4d3de/psutil-7.0.0.tar.gz", hash = "sha256:7be9c3eba38beccb6495ea33afd982a44074b78f28c434a1f51cc07fd315c456", size = 497003, upload-time = "2025-02-13T21:54:07.946Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ed/e6/2d26234410f8b8abdbf891c9da62bee396583f713fb9f3325a4760875d22/psutil-7.0.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:101d71dc322e3cffd7cea0650b09b3d08b8e7c4109dd6809fe452dfd00e58b25", size = 238051, upload-time = "2025-02-13T21:54:12.36Z" },
+    { url = "https://files.pythonhosted.org/packages/04/8b/30f930733afe425e3cbfc0e1468a30a18942350c1a8816acfade80c005c4/psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:39db632f6bb862eeccf56660871433e111b6ea58f2caea825571951d4b6aa3da", size = 239535, upload-time = "2025-02-13T21:54:16.07Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/ed/d362e84620dd22876b55389248e522338ed1bf134a5edd3b8231d7207f6d/psutil-7.0.0-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1fcee592b4c6f146991ca55919ea3d1f8926497a713ed7faaf8225e174581e91", size = 275004, upload-time = "2025-02-13T21:54:18.662Z" },
+    { url = "https://files.pythonhosted.org/packages/bf/b9/b0eb3f3cbcb734d930fdf839431606844a825b23eaf9a6ab371edac8162c/psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b1388a4f6875d7e2aff5c4ca1cc16c545ed41dd8bb596cefea80111db353a34", size = 277986, upload-time = "2025-02-13T21:54:21.811Z" },
+    { url = "https://files.pythonhosted.org/packages/eb/a2/709e0fe2f093556c17fbafda93ac032257242cabcc7ff3369e2cb76a97aa/psutil-7.0.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5f098451abc2828f7dc6b58d44b532b22f2088f4999a937557b603ce72b1993", size = 279544, upload-time = "2025-02-13T21:54:24.68Z" },
+    { url = "https://files.pythonhosted.org/packages/50/e6/eecf58810b9d12e6427369784efe814a1eec0f492084ce8eb8f4d89d6d61/psutil-7.0.0-cp37-abi3-win32.whl", hash = "sha256:ba3fcef7523064a6c9da440fc4d6bd07da93ac726b5733c29027d7dc95b39d99", size = 241053, upload-time = "2025-02-13T21:54:34.31Z" },
+    { url = "https://files.pythonhosted.org/packages/50/1b/6921afe68c74868b4c9fa424dad3be35b095e16687989ebbb50ce4fceb7c/psutil-7.0.0-cp37-abi3-win_amd64.whl", hash = "sha256:4cf3d4eb1aa9b348dec30105c55cd9b7d4629285735a102beb4441e38db90553", size = 244885, upload-time = "2025-02-13T21:54:37.486Z" },
+]
+
+[[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 = "pycparser"
+version = "2.22"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/1d/b2/31537cf4b1ca988837256c910a668b553fceb8f069bedc4b1c826024b52c/pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6", size = 172736, upload-time = "2024-03-30T13:22:22.564Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/13/a3/a812df4e2dd5696d1f351d58b8fe16a405b234ad2886a0dab9183fb78109/pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc", size = 117552, upload-time = "2024-03-30T13:22:20.476Z" },
+]
+
+[[package]]
+name = "pygments"
+version = "2.19.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/7c/2d/c3338d48ea6cc0feb8446d8e6937e1408088a72a39937982cc6111d17f84/pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f", size = 4968581, upload-time = "2025-01-06T17:26:30.443Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/8a/0b/9fcc47d19c48b59121088dd6da2488a49d5f72dacf8262e2790a1d2c7d15/pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c", size = 1225293, upload-time = "2025-01-06T17:26:25.553Z" },
+]
+
+[[package]]
+name = "pymdown-extensions"
+version = "10.15"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "markdown" },
+    { name = "pyyaml" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/08/92/a7296491dbf5585b3a987f3f3fc87af0e632121ff3e490c14b5f2d2b4eb5/pymdown_extensions-10.15.tar.gz", hash = "sha256:0e5994e32155f4b03504f939e501b981d306daf7ec2aa1cd2eb6bd300784f8f7", size = 852320, upload-time = "2025-04-27T23:48:29.183Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a7/d1/c54e608505776ce4e7966d03358ae635cfd51dff1da6ee421c090dbc797b/pymdown_extensions-10.15-py3-none-any.whl", hash = "sha256:46e99bb272612b0de3b7e7caf6da8dd5f4ca5212c0b273feb9304e236c484e5f", size = 265845, upload-time = "2025-04-27T23:48:27.359Z" },
+]
+
+[[package]]
+name = "pyparsing"
+version = "3.2.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/bb/22/f1129e69d94ffff626bdb5c835506b3a5b4f3d070f17ea295e12c2c6f60f/pyparsing-3.2.3.tar.gz", hash = "sha256:b9c13f1ab8b3b542f72e28f634bad4de758ab3ce4546e4301970ad6fa77c38be", size = 1088608, upload-time = "2025-03-25T05:01:28.114Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/05/e7/df2285f3d08fee213f2d041540fa4fc9ca6c2d44cf36d3a035bf2a8d2bcc/pyparsing-3.2.3-py3-none-any.whl", hash = "sha256:a749938e02d6fd0b59b356ca504a24982314bb090c383e3cf201c95ef7e2bfcf", size = 111120, upload-time = "2025-03-25T05:01:24.908Z" },
+]
+
+[[package]]
+name = "pytest"
+version = "8.4.1"
+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/08/ba/45911d754e8eba3d5a841a5ce61a65a685ff1798421ac054f85aa8747dfb/pytest-8.4.1.tar.gz", hash = "sha256:7c67fd69174877359ed9371ec3af8a3d2b04741818c51e5e99cc1742251fa93c", size = 1517714, upload-time = "2025-06-18T05:48:06.109Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/29/16/c8a903f4c4dffe7a12843191437d7cd8e32751d5de349d45d3fe69544e87/pytest-8.4.1-py3-none-any.whl", hash = "sha256:539c70ba6fcead8e78eebbf1115e8b589e7565830d7d006a8723f19ac8a0afb7", size = 365474, upload-time = "2025-06-18T05:48:03.955Z" },
+]
+
+[[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 = "pytz"
+version = "2025.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f8/bf/abbd3cdfb8fbc7fb3d4d38d320f2441b1e7cbe29be4f23797b4a2b5d8aac/pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3", size = 320884, upload-time = "2025-03-25T02:25:00.538Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/81/c4/34e93fe5f5429d7570ec1fa436f1986fb1f00c3e0f43a589fe2bbcd22c3f/pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00", size = 509225, upload-time = "2025-03-25T02:24:58.468Z" },
+]
+
+[[package]]
+name = "pywin32"
+version = "310"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/6b/ec/4fdbe47932f671d6e348474ea35ed94227fb5df56a7c30cbbb42cd396ed0/pywin32-310-cp312-cp312-win32.whl", hash = "sha256:8a75a5cc3893e83a108c05d82198880704c44bbaee4d06e442e471d3c9ea4f3d", size = 8796239, upload-time = "2025-03-17T00:55:58.807Z" },
+    { url = "https://files.pythonhosted.org/packages/e3/e5/b0627f8bb84e06991bea89ad8153a9e50ace40b2e1195d68e9dff6b03d0f/pywin32-310-cp312-cp312-win_amd64.whl", hash = "sha256:bf5c397c9a9a19a6f62f3fb821fbf36cac08f03770056711f765ec1503972060", size = 9503839, upload-time = "2025-03-17T00:56:00.8Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/32/9ccf53748df72301a89713936645a664ec001abd35ecc8578beda593d37d/pywin32-310-cp312-cp312-win_arm64.whl", hash = "sha256:2349cc906eae872d0663d4d6290d13b90621eaf78964bb1578632ff20e152966", size = 8459470, upload-time = "2025-03-17T00:56:02.601Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/09/9c1b978ffc4ae53999e89c19c77ba882d9fce476729f23ef55211ea1c034/pywin32-310-cp313-cp313-win32.whl", hash = "sha256:5d241a659c496ada3253cd01cfaa779b048e90ce4b2b38cd44168ad555ce74ab", size = 8794384, upload-time = "2025-03-17T00:56:04.383Z" },
+    { url = "https://files.pythonhosted.org/packages/45/3c/b4640f740ffebadd5d34df35fecba0e1cfef8fde9f3e594df91c28ad9b50/pywin32-310-cp313-cp313-win_amd64.whl", hash = "sha256:667827eb3a90208ddbdcc9e860c81bde63a135710e21e4cb3348968e4bd5249e", size = 9503039, upload-time = "2025-03-17T00:56:06.207Z" },
+    { url = "https://files.pythonhosted.org/packages/b4/f4/f785020090fb050e7fb6d34b780f2231f302609dc964672f72bfaeb59a28/pywin32-310-cp313-cp313-win_arm64.whl", hash = "sha256:e308f831de771482b7cf692a1f308f8fca701b2d8f9dde6cc440c7da17e47b33", size = 8458152, upload-time = "2025-03-17T00:56:07.819Z" },
+]
+
+[[package]]
+name = "pyyaml"
+version = "6.0.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/54/ed/79a089b6be93607fa5cdaedf301d7dfb23af5f25c398d5ead2525b063e17/pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e", size = 130631, upload-time = "2024-08-06T20:33:50.674Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/86/0c/c581167fc46d6d6d7ddcfb8c843a4de25bdd27e4466938109ca68492292c/PyYAML-6.0.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c70c95198c015b85feafc136515252a261a84561b7b1d51e3384e0655ddf25ab", size = 183873, upload-time = "2024-08-06T20:32:25.131Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/0c/38374f5bb272c051e2a69281d71cba6fdb983413e6758b84482905e29a5d/PyYAML-6.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce826d6ef20b1bc864f0a68340c8b3287705cae2f8b4b1d932177dcc76721725", size = 173302, upload-time = "2024-08-06T20:32:26.511Z" },
+    { url = "https://files.pythonhosted.org/packages/c3/93/9916574aa8c00aa06bbac729972eb1071d002b8e158bd0e83a3b9a20a1f7/PyYAML-6.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f71ea527786de97d1a0cc0eacd1defc0985dcf6b3f17bb77dcfc8c34bec4dc5", size = 739154, upload-time = "2024-08-06T20:32:28.363Z" },
+    { url = "https://files.pythonhosted.org/packages/95/0f/b8938f1cbd09739c6da569d172531567dbcc9789e0029aa070856f123984/PyYAML-6.0.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b22676e8097e9e22e36d6b7bda33190d0d400f345f23d4065d48f4ca7ae0425", size = 766223, upload-time = "2024-08-06T20:32:30.058Z" },
+    { url = "https://files.pythonhosted.org/packages/b9/2b/614b4752f2e127db5cc206abc23a8c19678e92b23c3db30fc86ab731d3bd/PyYAML-6.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80bab7bfc629882493af4aa31a4cfa43a4c57c83813253626916b8c7ada83476", size = 767542, upload-time = "2024-08-06T20:32:31.881Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/00/dd137d5bcc7efea1836d6264f049359861cf548469d18da90cd8216cf05f/PyYAML-6.0.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:0833f8694549e586547b576dcfaba4a6b55b9e96098b36cdc7ebefe667dfed48", size = 731164, upload-time = "2024-08-06T20:32:37.083Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/1f/4f998c900485e5c0ef43838363ba4a9723ac0ad73a9dc42068b12aaba4e4/PyYAML-6.0.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8b9c7197f7cb2738065c481a0461e50ad02f18c78cd75775628afb4d7137fb3b", size = 756611, upload-time = "2024-08-06T20:32:38.898Z" },
+    { url = "https://files.pythonhosted.org/packages/df/d1/f5a275fdb252768b7a11ec63585bc38d0e87c9e05668a139fea92b80634c/PyYAML-6.0.2-cp312-cp312-win32.whl", hash = "sha256:ef6107725bd54b262d6dedcc2af448a266975032bc85ef0172c5f059da6325b4", size = 140591, upload-time = "2024-08-06T20:32:40.241Z" },
+    { url = "https://files.pythonhosted.org/packages/0c/e8/4f648c598b17c3d06e8753d7d13d57542b30d56e6c2dedf9c331ae56312e/PyYAML-6.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:7e7401d0de89a9a855c839bc697c079a4af81cf878373abd7dc625847d25cbd8", size = 156338, upload-time = "2024-08-06T20:32:41.93Z" },
+    { url = "https://files.pythonhosted.org/packages/ef/e3/3af305b830494fa85d95f6d95ef7fa73f2ee1cc8ef5b495c7c3269fb835f/PyYAML-6.0.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba", size = 181309, upload-time = "2024-08-06T20:32:43.4Z" },
+    { url = "https://files.pythonhosted.org/packages/45/9f/3b1c20a0b7a3200524eb0076cc027a970d320bd3a6592873c85c92a08731/PyYAML-6.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:50187695423ffe49e2deacb8cd10510bc361faac997de9efef88badc3bb9e2d1", size = 171679, upload-time = "2024-08-06T20:32:44.801Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/9a/337322f27005c33bcb656c655fa78325b730324c78620e8328ae28b64d0c/PyYAML-6.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ffe8360bab4910ef1b9e87fb812d8bc0a308b0d0eef8c8f44e0254ab3b07133", size = 733428, upload-time = "2024-08-06T20:32:46.432Z" },
+    { url = "https://files.pythonhosted.org/packages/a3/69/864fbe19e6c18ea3cc196cbe5d392175b4cf3d5d0ac1403ec3f2d237ebb5/PyYAML-6.0.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:17e311b6c678207928d649faa7cb0d7b4c26a0ba73d41e99c4fff6b6c3276484", size = 763361, upload-time = "2024-08-06T20:32:51.188Z" },
+    { url = "https://files.pythonhosted.org/packages/04/24/b7721e4845c2f162d26f50521b825fb061bc0a5afcf9a386840f23ea19fa/PyYAML-6.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b189594dbe54f75ab3a1acec5f1e3faa7e8cf2f1e08d9b561cb41b845f69d5", size = 759523, upload-time = "2024-08-06T20:32:53.019Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/b2/e3234f59ba06559c6ff63c4e10baea10e5e7df868092bf9ab40e5b9c56b6/PyYAML-6.0.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:41e4e3953a79407c794916fa277a82531dd93aad34e29c2a514c2c0c5fe971cc", size = 726660, upload-time = "2024-08-06T20:32:54.708Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/0f/25911a9f080464c59fab9027482f822b86bf0608957a5fcc6eaac85aa515/PyYAML-6.0.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652", size = 751597, upload-time = "2024-08-06T20:32:56.985Z" },
+    { url = "https://files.pythonhosted.org/packages/14/0d/e2c3b43bbce3cf6bd97c840b46088a3031085179e596d4929729d8d68270/PyYAML-6.0.2-cp313-cp313-win32.whl", hash = "sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183", size = 140527, upload-time = "2024-08-06T20:33:03.001Z" },
+    { url = "https://files.pythonhosted.org/packages/fa/de/02b54f42487e3d3c6efb3f89428677074ca7bf43aae402517bc7cca949f3/PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563", size = 156446, upload-time = "2024-08-06T20:33:04.33Z" },
+]
+
+[[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 = "27.0.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cffi", marker = "implementation_name == 'pypy'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/f1/06/50a4e9648b3e8b992bef8eb632e457307553a89d294103213cfd47b3da69/pyzmq-27.0.0.tar.gz", hash = "sha256:b1f08eeb9ce1510e6939b6e5dcd46a17765e2333daae78ecf4606808442e52cf", size = 280478, upload-time = "2025-06-13T14:09:07.087Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/93/a7/9ad68f55b8834ede477842214feba6a4c786d936c022a67625497aacf61d/pyzmq-27.0.0-cp312-abi3-macosx_10_15_universal2.whl", hash = "sha256:cbabc59dcfaac66655c040dfcb8118f133fb5dde185e5fc152628354c1598e52", size = 1305438, upload-time = "2025-06-13T14:07:31.676Z" },
+    { url = "https://files.pythonhosted.org/packages/ba/ee/26aa0f98665a22bc90ebe12dced1de5f3eaca05363b717f6fb229b3421b3/pyzmq-27.0.0-cp312-abi3-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:cb0ac5179cba4b2f94f1aa208fbb77b62c4c9bf24dd446278b8b602cf85fcda3", size = 895095, upload-time = "2025-06-13T14:07:33.104Z" },
+    { url = "https://files.pythonhosted.org/packages/cf/85/c57e7ab216ecd8aa4cc7e3b83b06cc4e9cf45c87b0afc095f10cd5ce87c1/pyzmq-27.0.0-cp312-abi3-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:53a48f0228eab6cbf69fde3aa3c03cbe04e50e623ef92ae395fce47ef8a76152", size = 651826, upload-time = "2025-06-13T14:07:34.831Z" },
+    { url = "https://files.pythonhosted.org/packages/69/9a/9ea7e230feda9400fb0ae0d61d7d6ddda635e718d941c44eeab22a179d34/pyzmq-27.0.0-cp312-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:111db5f395e09f7e775f759d598f43cb815fc58e0147623c4816486e1a39dc22", size = 839750, upload-time = "2025-06-13T14:07:36.553Z" },
+    { url = "https://files.pythonhosted.org/packages/08/66/4cebfbe71f3dfbd417011daca267539f62ed0fbc68105357b68bbb1a25b7/pyzmq-27.0.0-cp312-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:c8878011653dcdc27cc2c57e04ff96f0471e797f5c19ac3d7813a245bcb24371", size = 1641357, upload-time = "2025-06-13T14:07:38.21Z" },
+    { url = "https://files.pythonhosted.org/packages/ac/f6/b0f62578c08d2471c791287149cb8c2aaea414ae98c6e995c7dbe008adfb/pyzmq-27.0.0-cp312-abi3-musllinux_1_2_i686.whl", hash = "sha256:c0ed2c1f335ba55b5fdc964622254917d6b782311c50e138863eda409fbb3b6d", size = 2020281, upload-time = "2025-06-13T14:07:39.599Z" },
+    { url = "https://files.pythonhosted.org/packages/37/b9/4f670b15c7498495da9159edc374ec09c88a86d9cd5a47d892f69df23450/pyzmq-27.0.0-cp312-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:e918d70862d4cfd4b1c187310015646a14e1f5917922ab45b29f28f345eeb6be", size = 1877110, upload-time = "2025-06-13T14:07:41.027Z" },
+    { url = "https://files.pythonhosted.org/packages/66/31/9dee25c226295b740609f0d46db2fe972b23b6f5cf786360980524a3ba92/pyzmq-27.0.0-cp312-abi3-win32.whl", hash = "sha256:88b4e43cab04c3c0f0d55df3b1eef62df2b629a1a369b5289a58f6fa8b07c4f4", size = 559297, upload-time = "2025-06-13T14:07:42.533Z" },
+    { url = "https://files.pythonhosted.org/packages/9b/12/52da5509800f7ff2d287b2f2b4e636e7ea0f001181cba6964ff6c1537778/pyzmq-27.0.0-cp312-abi3-win_amd64.whl", hash = "sha256:dce4199bf5f648a902ce37e7b3afa286f305cd2ef7a8b6ec907470ccb6c8b371", size = 619203, upload-time = "2025-06-13T14:07:43.843Z" },
+    { url = "https://files.pythonhosted.org/packages/93/6d/7f2e53b19d1edb1eb4f09ec7c3a1f945ca0aac272099eab757d15699202b/pyzmq-27.0.0-cp312-abi3-win_arm64.whl", hash = "sha256:56e46bbb85d52c1072b3f809cc1ce77251d560bc036d3a312b96db1afe76db2e", size = 551927, upload-time = "2025-06-13T14:07:45.51Z" },
+    { url = "https://files.pythonhosted.org/packages/19/62/876b27c4ff777db4ceba1c69ea90d3c825bb4f8d5e7cd987ce5802e33c55/pyzmq-27.0.0-cp313-cp313t-macosx_10_15_universal2.whl", hash = "sha256:c36ad534c0c29b4afa088dc53543c525b23c0797e01b69fef59b1a9c0e38b688", size = 1340826, upload-time = "2025-06-13T14:07:46.881Z" },
+    { url = "https://files.pythonhosted.org/packages/43/69/58ef8f4f59d3bcd505260c73bee87b008850f45edca40ddaba54273c35f4/pyzmq-27.0.0-cp313-cp313t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:67855c14173aec36395d7777aaba3cc527b393821f30143fd20b98e1ff31fd38", size = 897283, upload-time = "2025-06-13T14:07:49.562Z" },
+    { url = "https://files.pythonhosted.org/packages/43/15/93a0d0396700a60475ad3c5d42c5f1c308d3570bc94626b86c71ef9953e0/pyzmq-27.0.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8617c7d43cd8ccdb62aebe984bfed77ca8f036e6c3e46dd3dddda64b10f0ab7a", size = 660567, upload-time = "2025-06-13T14:07:51.364Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/b3/fe055513e498ca32f64509abae19b9c9eb4d7c829e02bd8997dd51b029eb/pyzmq-27.0.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:67bfbcbd0a04c575e8103a6061d03e393d9f80ffdb9beb3189261e9e9bc5d5e9", size = 847681, upload-time = "2025-06-13T14:07:52.77Z" },
+    { url = "https://files.pythonhosted.org/packages/b6/4f/ff15300b00b5b602191f3df06bbc8dd4164e805fdd65bb77ffbb9c5facdc/pyzmq-27.0.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:5cd11d46d7b7e5958121b3eaf4cd8638eff3a720ec527692132f05a57f14341d", size = 1650148, upload-time = "2025-06-13T14:07:54.178Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/6f/84bdfff2a224a6f26a24249a342e5906993c50b0761e311e81b39aef52a7/pyzmq-27.0.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:b801c2e40c5aa6072c2f4876de8dccd100af6d9918d4d0d7aa54a1d982fd4f44", size = 2023768, upload-time = "2025-06-13T14:07:55.714Z" },
+    { url = "https://files.pythonhosted.org/packages/64/39/dc2db178c26a42228c5ac94a9cc595030458aa64c8d796a7727947afbf55/pyzmq-27.0.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:20d5cb29e8c5f76a127c75b6e7a77e846bc4b655c373baa098c26a61b7ecd0ef", size = 1885199, upload-time = "2025-06-13T14:07:57.166Z" },
+    { url = "https://files.pythonhosted.org/packages/c7/21/dae7b06a1f8cdee5d8e7a63d99c5d129c401acc40410bef2cbf42025e26f/pyzmq-27.0.0-cp313-cp313t-win32.whl", hash = "sha256:a20528da85c7ac7a19b7384e8c3f8fa707841fd85afc4ed56eda59d93e3d98ad", size = 575439, upload-time = "2025-06-13T14:07:58.959Z" },
+    { url = "https://files.pythonhosted.org/packages/eb/bc/1709dc55f0970cf4cb8259e435e6773f9946f41a045c2cb90e870b7072da/pyzmq-27.0.0-cp313-cp313t-win_amd64.whl", hash = "sha256:d8229f2efece6a660ee211d74d91dbc2a76b95544d46c74c615e491900dc107f", size = 639933, upload-time = "2025-06-13T14:08:00.777Z" },
+]
+
+[[package]]
+name = "referencing"
+version = "0.36.2"
+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/2f/db/98b5c277be99dd18bfd91dd04e1b759cad18d1a338188c936e92f921c7e2/referencing-0.36.2.tar.gz", hash = "sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa", size = 74744, upload-time = "2025-01-25T08:48:16.138Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c1/b1/3baf80dc6d2b7bc27a95a67752d0208e410351e3feb4eb78de5f77454d8d/referencing-0.36.2-py3-none-any.whl", hash = "sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0", size = 26775, upload-time = "2025-01-25T08:48:14.241Z" },
+]
+
+[[package]]
+name = "requests"
+version = "2.32.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "certifi" },
+    { name = "charset-normalizer" },
+    { name = "idna" },
+    { name = "urllib3" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/e1/0a/929373653770d8a0d7ea76c37de6e41f11eb07559b103b1c02cafb3f7cf8/requests-2.32.4.tar.gz", hash = "sha256:27d0316682c8a29834d3264820024b62a36942083d52caf2f14c0591336d3422", size = 135258, upload-time = "2025-06-09T16:43:07.34Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/7c/e4/56027c4a6b4ae70ca9de302488c5ca95ad4a39e190093d6c1a8ace08341b/requests-2.32.4-py3-none-any.whl", hash = "sha256:27babd3cda2a6d50b30443204ee89830707d396671944c998b5975b031ac2b2c", size = 64847, upload-time = "2025-06-09T16:43:05.728Z" },
+]
+
+[[package]]
+name = "rpds-py"
+version = "0.25.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/8c/a6/60184b7fc00dd3ca80ac635dd5b8577d444c57e8e8742cecabfacb829921/rpds_py-0.25.1.tar.gz", hash = "sha256:8960b6dac09b62dac26e75d7e2c4a22efb835d827a7278c34f72b2b84fa160e3", size = 27304, upload-time = "2025-05-21T12:46:12.502Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/7f/81/28ab0408391b1dc57393653b6a0cf2014cc282cc2909e4615e63e58262be/rpds_py-0.25.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:b5ffe453cde61f73fea9430223c81d29e2fbf412a6073951102146c84e19e34c", size = 364647, upload-time = "2025-05-21T12:43:28.559Z" },
+    { url = "https://files.pythonhosted.org/packages/2c/9a/7797f04cad0d5e56310e1238434f71fc6939d0bc517192a18bb99a72a95f/rpds_py-0.25.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:115874ae5e2fdcfc16b2aedc95b5eef4aebe91b28e7e21951eda8a5dc0d3461b", size = 350454, upload-time = "2025-05-21T12:43:30.615Z" },
+    { url = "https://files.pythonhosted.org/packages/69/3c/93d2ef941b04898011e5d6eaa56a1acf46a3b4c9f4b3ad1bbcbafa0bee1f/rpds_py-0.25.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a714bf6e5e81b0e570d01f56e0c89c6375101b8463999ead3a93a5d2a4af91fa", size = 389665, upload-time = "2025-05-21T12:43:32.629Z" },
+    { url = "https://files.pythonhosted.org/packages/c1/57/ad0e31e928751dde8903a11102559628d24173428a0f85e25e187defb2c1/rpds_py-0.25.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:35634369325906bcd01577da4c19e3b9541a15e99f31e91a02d010816b49bfda", size = 403873, upload-time = "2025-05-21T12:43:34.576Z" },
+    { url = "https://files.pythonhosted.org/packages/16/ad/c0c652fa9bba778b4f54980a02962748479dc09632e1fd34e5282cf2556c/rpds_py-0.25.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d4cb2b3ddc16710548801c6fcc0cfcdeeff9dafbc983f77265877793f2660309", size = 525866, upload-time = "2025-05-21T12:43:36.123Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/39/3e1839bc527e6fcf48d5fec4770070f872cdee6c6fbc9b259932f4e88a38/rpds_py-0.25.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9ceca1cf097ed77e1a51f1dbc8d174d10cb5931c188a4505ff9f3e119dfe519b", size = 416886, upload-time = "2025-05-21T12:43:38.034Z" },
+    { url = "https://files.pythonhosted.org/packages/7a/95/dd6b91cd4560da41df9d7030a038298a67d24f8ca38e150562644c829c48/rpds_py-0.25.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c2cd1a4b0c2b8c5e31ffff50d09f39906fe351389ba143c195566056c13a7ea", size = 390666, upload-time = "2025-05-21T12:43:40.065Z" },
+    { url = "https://files.pythonhosted.org/packages/64/48/1be88a820e7494ce0a15c2d390ccb7c52212370badabf128e6a7bb4cb802/rpds_py-0.25.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1de336a4b164c9188cb23f3703adb74a7623ab32d20090d0e9bf499a2203ad65", size = 425109, upload-time = "2025-05-21T12:43:42.263Z" },
+    { url = "https://files.pythonhosted.org/packages/cf/07/3e2a17927ef6d7720b9949ec1b37d1e963b829ad0387f7af18d923d5cfa5/rpds_py-0.25.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:9fca84a15333e925dd59ce01da0ffe2ffe0d6e5d29a9eeba2148916d1824948c", size = 567244, upload-time = "2025-05-21T12:43:43.846Z" },
+    { url = "https://files.pythonhosted.org/packages/d2/e5/76cf010998deccc4f95305d827847e2eae9c568099c06b405cf96384762b/rpds_py-0.25.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:88ec04afe0c59fa64e2f6ea0dd9657e04fc83e38de90f6de201954b4d4eb59bd", size = 596023, upload-time = "2025-05-21T12:43:45.932Z" },
+    { url = "https://files.pythonhosted.org/packages/52/9a/df55efd84403736ba37a5a6377b70aad0fd1cb469a9109ee8a1e21299a1c/rpds_py-0.25.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:a8bd2f19e312ce3e1d2c635618e8a8d8132892bb746a7cf74780a489f0f6cdcb", size = 561634, upload-time = "2025-05-21T12:43:48.263Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/aa/dc3620dd8db84454aaf9374bd318f1aa02578bba5e567f5bf6b79492aca4/rpds_py-0.25.1-cp312-cp312-win32.whl", hash = "sha256:e5e2f7280d8d0d3ef06f3ec1b4fd598d386cc6f0721e54f09109a8132182fbfe", size = 222713, upload-time = "2025-05-21T12:43:49.897Z" },
+    { url = "https://files.pythonhosted.org/packages/a3/7f/7cef485269a50ed5b4e9bae145f512d2a111ca638ae70cc101f661b4defd/rpds_py-0.25.1-cp312-cp312-win_amd64.whl", hash = "sha256:db58483f71c5db67d643857404da360dce3573031586034b7d59f245144cc192", size = 235280, upload-time = "2025-05-21T12:43:51.893Z" },
+    { url = "https://files.pythonhosted.org/packages/99/f2/c2d64f6564f32af913bf5f3f7ae41c7c263c5ae4c4e8f1a17af8af66cd46/rpds_py-0.25.1-cp312-cp312-win_arm64.whl", hash = "sha256:6d50841c425d16faf3206ddbba44c21aa3310a0cebc3c1cdfc3e3f4f9f6f5728", size = 225399, upload-time = "2025-05-21T12:43:53.351Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/da/323848a2b62abe6a0fec16ebe199dc6889c5d0a332458da8985b2980dffe/rpds_py-0.25.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:659d87430a8c8c704d52d094f5ba6fa72ef13b4d385b7e542a08fc240cb4a559", size = 364498, upload-time = "2025-05-21T12:43:54.841Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/b4/4d3820f731c80fd0cd823b3e95b9963fec681ae45ba35b5281a42382c67d/rpds_py-0.25.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:68f6f060f0bbdfb0245267da014d3a6da9be127fe3e8cc4a68c6f833f8a23bb1", size = 350083, upload-time = "2025-05-21T12:43:56.428Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/b1/3a8ee1c9d480e8493619a437dec685d005f706b69253286f50f498cbdbcf/rpds_py-0.25.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:083a9513a33e0b92cf6e7a6366036c6bb43ea595332c1ab5c8ae329e4bcc0a9c", size = 389023, upload-time = "2025-05-21T12:43:57.995Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/31/17293edcfc934dc62c3bf74a0cb449ecd549531f956b72287203e6880b87/rpds_py-0.25.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:816568614ecb22b18a010c7a12559c19f6fe993526af88e95a76d5a60b8b75fb", size = 403283, upload-time = "2025-05-21T12:43:59.546Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/ca/e0f0bc1a75a8925024f343258c8ecbd8828f8997ea2ac71e02f67b6f5299/rpds_py-0.25.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3c6564c0947a7f52e4792983f8e6cf9bac140438ebf81f527a21d944f2fd0a40", size = 524634, upload-time = "2025-05-21T12:44:01.087Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/03/5d0be919037178fff33a6672ffc0afa04ea1cfcb61afd4119d1b5280ff0f/rpds_py-0.25.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5c4a128527fe415d73cf1f70a9a688d06130d5810be69f3b553bf7b45e8acf79", size = 416233, upload-time = "2025-05-21T12:44:02.604Z" },
+    { url = "https://files.pythonhosted.org/packages/05/7c/8abb70f9017a231c6c961a8941403ed6557664c0913e1bf413cbdc039e75/rpds_py-0.25.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a49e1d7a4978ed554f095430b89ecc23f42014a50ac385eb0c4d163ce213c325", size = 390375, upload-time = "2025-05-21T12:44:04.162Z" },
+    { url = "https://files.pythonhosted.org/packages/7a/ac/a87f339f0e066b9535074a9f403b9313fd3892d4a164d5d5f5875ac9f29f/rpds_py-0.25.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d74ec9bc0e2feb81d3f16946b005748119c0f52a153f6db6a29e8cd68636f295", size = 424537, upload-time = "2025-05-21T12:44:06.175Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/8f/8d5c1567eaf8c8afe98a838dd24de5013ce6e8f53a01bd47fe8bb06b5533/rpds_py-0.25.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:3af5b4cc10fa41e5bc64e5c198a1b2d2864337f8fcbb9a67e747e34002ce812b", size = 566425, upload-time = "2025-05-21T12:44:08.242Z" },
+    { url = "https://files.pythonhosted.org/packages/95/33/03016a6be5663b389c8ab0bbbcca68d9e96af14faeff0a04affcb587e776/rpds_py-0.25.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:79dc317a5f1c51fd9c6a0c4f48209c6b8526d0524a6904fc1076476e79b00f98", size = 595197, upload-time = "2025-05-21T12:44:10.449Z" },
+    { url = "https://files.pythonhosted.org/packages/33/8d/da9f4d3e208c82fda311bff0cf0a19579afceb77cf456e46c559a1c075ba/rpds_py-0.25.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:1521031351865e0181bc585147624d66b3b00a84109b57fcb7a779c3ec3772cd", size = 561244, upload-time = "2025-05-21T12:44:12.387Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/b3/39d5dcf7c5f742ecd6dbc88f6f84ae54184b92f5f387a4053be2107b17f1/rpds_py-0.25.1-cp313-cp313-win32.whl", hash = "sha256:5d473be2b13600b93a5675d78f59e63b51b1ba2d0476893415dfbb5477e65b31", size = 222254, upload-time = "2025-05-21T12:44:14.261Z" },
+    { url = "https://files.pythonhosted.org/packages/5f/19/2d6772c8eeb8302c5f834e6d0dfd83935a884e7c5ce16340c7eaf89ce925/rpds_py-0.25.1-cp313-cp313-win_amd64.whl", hash = "sha256:a7b74e92a3b212390bdce1d93da9f6488c3878c1d434c5e751cbc202c5e09500", size = 234741, upload-time = "2025-05-21T12:44:16.236Z" },
+    { url = "https://files.pythonhosted.org/packages/5b/5a/145ada26cfaf86018d0eb304fe55eafdd4f0b6b84530246bb4a7c4fb5c4b/rpds_py-0.25.1-cp313-cp313-win_arm64.whl", hash = "sha256:dd326a81afe332ede08eb39ab75b301d5676802cdffd3a8f287a5f0b694dc3f5", size = 224830, upload-time = "2025-05-21T12:44:17.749Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/ca/d435844829c384fd2c22754ff65889c5c556a675d2ed9eb0e148435c6690/rpds_py-0.25.1-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:a58d1ed49a94d4183483a3ce0af22f20318d4a1434acee255d683ad90bf78129", size = 359668, upload-time = "2025-05-21T12:44:19.322Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/01/b056f21db3a09f89410d493d2f6614d87bb162499f98b649d1dbd2a81988/rpds_py-0.25.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:f251bf23deb8332823aef1da169d5d89fa84c89f67bdfb566c49dea1fccfd50d", size = 345649, upload-time = "2025-05-21T12:44:20.962Z" },
+    { url = "https://files.pythonhosted.org/packages/e0/0f/e0d00dc991e3d40e03ca36383b44995126c36b3eafa0ccbbd19664709c88/rpds_py-0.25.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8dbd586bfa270c1103ece2109314dd423df1fa3d9719928b5d09e4840cec0d72", size = 384776, upload-time = "2025-05-21T12:44:22.516Z" },
+    { url = "https://files.pythonhosted.org/packages/9f/a2/59374837f105f2ca79bde3c3cd1065b2f8c01678900924949f6392eab66d/rpds_py-0.25.1-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6d273f136e912aa101a9274c3145dcbddbe4bac560e77e6d5b3c9f6e0ed06d34", size = 395131, upload-time = "2025-05-21T12:44:24.147Z" },
+    { url = "https://files.pythonhosted.org/packages/9c/dc/48e8d84887627a0fe0bac53f0b4631e90976fd5d35fff8be66b8e4f3916b/rpds_py-0.25.1-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:666fa7b1bd0a3810a7f18f6d3a25ccd8866291fbbc3c9b912b917a6715874bb9", size = 520942, upload-time = "2025-05-21T12:44:25.915Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/f5/ee056966aeae401913d37befeeab57a4a43a4f00099e0a20297f17b8f00c/rpds_py-0.25.1-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:921954d7fbf3fccc7de8f717799304b14b6d9a45bbeec5a8d7408ccbf531faf5", size = 411330, upload-time = "2025-05-21T12:44:27.638Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/74/b2cffb46a097cefe5d17f94ede7a174184b9d158a0aeb195f39f2c0361e8/rpds_py-0.25.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3d86373ff19ca0441ebeb696ef64cb58b8b5cbacffcda5a0ec2f3911732a194", size = 387339, upload-time = "2025-05-21T12:44:29.292Z" },
+    { url = "https://files.pythonhosted.org/packages/7f/9a/0ff0b375dcb5161c2b7054e7d0b7575f1680127505945f5cabaac890bc07/rpds_py-0.25.1-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:c8980cde3bb8575e7c956a530f2c217c1d6aac453474bf3ea0f9c89868b531b6", size = 418077, upload-time = "2025-05-21T12:44:30.877Z" },
+    { url = "https://files.pythonhosted.org/packages/0d/a1/fda629bf20d6b698ae84c7c840cfb0e9e4200f664fc96e1f456f00e4ad6e/rpds_py-0.25.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:8eb8c84ecea987a2523e057c0d950bcb3f789696c0499290b8d7b3107a719d78", size = 562441, upload-time = "2025-05-21T12:44:32.541Z" },
+    { url = "https://files.pythonhosted.org/packages/20/15/ce4b5257f654132f326f4acd87268e1006cc071e2c59794c5bdf4bebbb51/rpds_py-0.25.1-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:e43a005671a9ed5a650f3bc39e4dbccd6d4326b24fb5ea8be5f3a43a6f576c72", size = 590750, upload-time = "2025-05-21T12:44:34.557Z" },
+    { url = "https://files.pythonhosted.org/packages/fb/ab/e04bf58a8d375aeedb5268edcc835c6a660ebf79d4384d8e0889439448b0/rpds_py-0.25.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:58f77c60956501a4a627749a6dcb78dac522f249dd96b5c9f1c6af29bfacfb66", size = 558891, upload-time = "2025-05-21T12:44:37.358Z" },
+    { url = "https://files.pythonhosted.org/packages/90/82/cb8c6028a6ef6cd2b7991e2e4ced01c854b6236ecf51e81b64b569c43d73/rpds_py-0.25.1-cp313-cp313t-win32.whl", hash = "sha256:2cb9e5b5e26fc02c8a4345048cd9998c2aca7c2712bd1b36da0c72ee969a3523", size = 218718, upload-time = "2025-05-21T12:44:38.969Z" },
+    { url = "https://files.pythonhosted.org/packages/b6/97/5a4b59697111c89477d20ba8a44df9ca16b41e737fa569d5ae8bff99e650/rpds_py-0.25.1-cp313-cp313t-win_amd64.whl", hash = "sha256:401ca1c4a20cc0510d3435d89c069fe0a9ae2ee6495135ac46bdd49ec0495763", size = 232218, upload-time = "2025-05-21T12:44:40.512Z" },
+]
+
+[[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 = "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 = "soupsieve"
+version = "2.7"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/3f/f4/4a80cd6ef364b2e8b65b15816a843c0980f7a5a2b4dc701fc574952aa19f/soupsieve-2.7.tar.gz", hash = "sha256:ad282f9b6926286d2ead4750552c8a6142bc4c783fd66b0293547c8fe6ae126a", size = 103418, upload-time = "2025-04-20T18:50:08.518Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e7/9c/0e6afc12c269578be5c0c1c9f4b49a8d32770a080260c333ac04cc1c832d/soupsieve-2.7-py3-none-any.whl", hash = "sha256:6e60cc5c1ffaf1cebcc12e8188320b72071e922c2e897f737cadce79ad5d30c4", size = 36677, upload-time = "2025-04-20T18:50:07.196Z" },
+]
+
+[[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 = "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 = "tornado"
+version = "6.5.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/51/89/c72771c81d25d53fe33e3dca61c233b665b2780f21820ba6fd2c6793c12b/tornado-6.5.1.tar.gz", hash = "sha256:84ceece391e8eb9b2b95578db65e920d2a61070260594819589609ba9bc6308c", size = 509934, upload-time = "2025-05-22T18:15:38.788Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/77/89/f4532dee6843c9e0ebc4e28d4be04c67f54f60813e4bf73d595fe7567452/tornado-6.5.1-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:d50065ba7fd11d3bd41bcad0825227cc9a95154bad83239357094c36708001f7", size = 441948, upload-time = "2025-05-22T18:15:20.862Z" },
+    { url = "https://files.pythonhosted.org/packages/15/9a/557406b62cffa395d18772e0cdcf03bed2fff03b374677348eef9f6a3792/tornado-6.5.1-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:9e9ca370f717997cb85606d074b0e5b247282cf5e2e1611568b8821afe0342d6", size = 440112, upload-time = "2025-05-22T18:15:22.591Z" },
+    { url = "https://files.pythonhosted.org/packages/55/82/7721b7319013a3cf881f4dffa4f60ceff07b31b394e459984e7a36dc99ec/tornado-6.5.1-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b77e9dfa7ed69754a54c89d82ef746398be82f749df69c4d3abe75c4d1ff4888", size = 443672, upload-time = "2025-05-22T18:15:24.027Z" },
+    { url = "https://files.pythonhosted.org/packages/7d/42/d11c4376e7d101171b94e03cef0cbce43e823ed6567ceda571f54cf6e3ce/tornado-6.5.1-cp39-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:253b76040ee3bab8bcf7ba9feb136436a3787208717a1fb9f2c16b744fba7331", size = 443019, upload-time = "2025-05-22T18:15:25.735Z" },
+    { url = "https://files.pythonhosted.org/packages/7d/f7/0c48ba992d875521ac761e6e04b0a1750f8150ae42ea26df1852d6a98942/tornado-6.5.1-cp39-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:308473f4cc5a76227157cdf904de33ac268af770b2c5f05ca6c1161d82fdd95e", size = 443252, upload-time = "2025-05-22T18:15:27.499Z" },
+    { url = "https://files.pythonhosted.org/packages/89/46/d8d7413d11987e316df4ad42e16023cd62666a3c0dfa1518ffa30b8df06c/tornado-6.5.1-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:caec6314ce8a81cf69bd89909f4b633b9f523834dc1a352021775d45e51d9401", size = 443930, upload-time = "2025-05-22T18:15:29.299Z" },
+    { url = "https://files.pythonhosted.org/packages/78/b2/f8049221c96a06df89bed68260e8ca94beca5ea532ffc63b1175ad31f9cc/tornado-6.5.1-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:13ce6e3396c24e2808774741331638ee6c2f50b114b97a55c5b442df65fd9692", size = 443351, upload-time = "2025-05-22T18:15:31.038Z" },
+    { url = "https://files.pythonhosted.org/packages/76/ff/6a0079e65b326cc222a54720a748e04a4db246870c4da54ece4577bfa702/tornado-6.5.1-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:5cae6145f4cdf5ab24744526cc0f55a17d76f02c98f4cff9daa08ae9a217448a", size = 443328, upload-time = "2025-05-22T18:15:32.426Z" },
+    { url = "https://files.pythonhosted.org/packages/49/18/e3f902a1d21f14035b5bc6246a8c0f51e0eef562ace3a2cea403c1fb7021/tornado-6.5.1-cp39-abi3-win32.whl", hash = "sha256:e0a36e1bc684dca10b1aa75a31df8bdfed656831489bc1e6a6ebed05dc1ec365", size = 444396, upload-time = "2025-05-22T18:15:34.205Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/09/6526e32bf1049ee7de3bebba81572673b19a2a8541f795d887e92af1a8bc/tornado-6.5.1-cp39-abi3-win_amd64.whl", hash = "sha256:908e7d64567cecd4c2b458075589a775063453aeb1d2a1853eedb806922f568b", size = 444840, upload-time = "2025-05-22T18:15:36.1Z" },
+    { url = "https://files.pythonhosted.org/packages/55/a7/535c44c7bea4578e48281d83c615219f3ab19e6abc67625ef637c73987be/tornado-6.5.1-cp39-abi3-win_arm64.whl", hash = "sha256:02420a0eb7bf617257b9935e2b754d1b63897525d8a289c9d65690d580b4dcf7", size = 443596, upload-time = "2025-05-22T18:15:37.433Z" },
+]
+
+[[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 = "typing-extensions"
+version = "4.14.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/d1/bc/51647cd02527e87d05cb083ccc402f93e441606ff1f01739a62c8ad09ba5/typing_extensions-4.14.0.tar.gz", hash = "sha256:8676b788e32f02ab42d9e7c61324048ae4c6d844a399eebace3d4979d75ceef4", size = 107423, upload-time = "2025-06-02T14:52:11.399Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/69/e0/552843e0d356fbb5256d21449fa957fa4eff3bbc135a74a691ee70c7c5da/typing_extensions-4.14.0-py3-none-any.whl", hash = "sha256:a1514509136dd0b477638fc68d6a91497af5076466ad0fa6c338e44e359944af", size = 43839, upload-time = "2025-06-02T14:52:10.026Z" },
+]
+
+[[package]]
+name = "tzdata"
+version = "2025.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/95/32/1a225d6164441be760d75c2c42e2780dc0873fe382da3e98a2e1e48361e5/tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9", size = 196380, upload-time = "2025-03-23T13:54:43.652Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/5c/23/c7abc0ca0a1526a0774eca151daeb8de62ec457e77262b66b359c3c7679e/tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8", size = 347839, upload-time = "2025-03-23T13:54:41.845Z" },
+]
+
+[[package]]
+name = "urllib3"
+version = "2.5.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/15/22/9ee70a2574a4f4599c47dd506532914ce044817c7752a79b6a51286319bc/urllib3-2.5.0.tar.gz", hash = "sha256:3fc47733c7e419d4bc3f6b3dc2b4f890bb743906a30d56ba4a5bfa4bbff92760", size = 393185, upload-time = "2025-06-18T14:07:41.644Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a7/c2/fe1e52489ae3122415c51f387e221dd0773709bad6c6cdaa599e8a2c5185/urllib3-2.5.0-py3-none-any.whl", hash = "sha256:e6b01673c0fa6a13e374b50871808eb3bf7046c4b125b216f6bf1cc604cff0dc", size = 129795, upload-time = "2025-06-18T14:07:40.39Z" },
+]
+
+[[package]]
+name = "vizta"
+source = { editable = "." }
+dependencies = [
+    { name = "matplotlib" },
+    { name = "seaborn" },
+]
+
+[package.dev-dependencies]
+dev = [
+    { name = "pytest" },
+]
+docs = [
+    { name = "ipykernel" },
+    { name = "mkdocs" },
+    { name = "mkdocs-jupyter" },
+    { name = "mkdocs-material" },
+    { name = "mkdocstrings", extra = ["python"] },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "matplotlib", specifier = ">=3.5.1" },
+    { name = "seaborn", specifier = ">=0.11.2" },
+]
+
+[package.metadata.requires-dev]
+dev = [{ name = "pytest", specifier = ">=8.4.1" }]
+docs = [
+    { name = "ipykernel", specifier = ">=6.12.1" },
+    { name = "mkdocs", specifier = ">=1.3.0" },
+    { name = "mkdocs-jupyter", specifier = ">=0.20.1" },
+    { name = "mkdocs-material", specifier = ">=8.2.1" },
+    { name = "mkdocstrings", extras = ["python"], specifier = ">=0.18.1" },
+]
+
+[[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/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 = "wcwidth"
+version = "0.2.13"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/6c/63/53559446a878410fc5a5974feb13d31d78d752eb18aeba59c7fef1af7598/wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5", size = 101301, upload-time = "2024-01-06T02:10:57.829Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fd/84/fd2ba7aafacbad3c4201d395674fc6348826569da3c0937e75505ead3528/wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859", size = 34166, upload-time = "2024-01-06T02:10:55.763Z" },
+]
+
+[[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" },
+]
diff --git a/vizta/__init__.py b/vizta/__init__.py
index 9a6383b..79b2992 100644
--- a/vizta/__init__.py
+++ b/vizta/__init__.py
@@ -1,5 +1,6 @@
 """See the README for detailed documentation and examples."""
+
 from .version import _get_version
-from . import mpl
+from . import mpl as mpl
 
 __version__ = _get_version()
diff --git a/vizta/mpl/__init__.py b/vizta/mpl/__init__.py
index 69e9d48..e507714 100644
--- a/vizta/mpl/__init__.py
+++ b/vizta/mpl/__init__.py
@@ -1 +1 @@
-from .themes import set_theme
+from .themes import set_theme as set_theme
diff --git a/vizta/mpl/themes.py b/vizta/mpl/themes.py
index 0f2fc4f..a22c1c3 100644
--- a/vizta/mpl/themes.py
+++ b/vizta/mpl/themes.py
@@ -2,12 +2,13 @@
 
 New themes are defined at the bottom of this file.
 """
+
 from dataclasses import dataclass
 from typing import List, Tuple, Dict, Any, Optional, Union
 
 import seaborn as sns
 
-from .. import palettes  # Needed to edit seaborn palette dict.
+from .. import palettes  # Needed to edit seaborn palette dict # noqa: F401
 
 
 def set_theme(
@@ -113,7 +114,7 @@ def __post_init__(self) -> None:
             self.style_dict.update(self.rc_params)
 
     @property
-    def palette(self) -> List[Tuple[float, float, float]]:
+    def palette(self) -> List[Tuple[float, float, float]]:  # noqa: F811
         """The color palette"""
         return self._palette
 
@@ -127,11 +128,11 @@ def palette(self, pal: str) -> None:
 VIZTA_STYLES = {
     "talusbio": MplTheme(
         palette="talusbio",
-        primary="#001425",
-        accent="#C8102E",
+        primary="#0C015B",
+        accent="#64C0CA",
         rc_params={
             "font.family": "sans-serif",
-            "font.sans-serif": ["Montserrat"],
+            "font.sans-serif": ["Host Grotesk", "Arial", "Helvetica"],
         },
     ),
     "wfondrie": MplTheme(
diff --git a/vizta/palettes.py b/vizta/palettes.py
index a9e01c1..7509900 100644
--- a/vizta/palettes.py
+++ b/vizta/palettes.py
@@ -1,5 +1,6 @@
 """Plotting color palettes"""
-import seaborn as sns
+
+from seaborn import palettes
 
 # Add new color palettes here:
 VIZTA_PALETTES = {
@@ -9,4 +10,4 @@
 
 # Register palettes:
 for name, colors in VIZTA_PALETTES.items():
-    sns.palettes.SEABORN_PALETTES[name] = colors
+    palettes.SEABORN_PALETTES[name] = colors