#
# This file is autogenerated by pip-compile with Python 3.12
# by the following command:
#
#    pip-compile --extra=docs --output-file=docs/requirements_rtd.txt
#
accelerate==1.14.0
    # via chronos-forecasting
accessible-pygments==0.0.5
    # via pydata-sphinx-theme
alabaster==1.0.0
    # via sphinx
annotated-doc==0.0.5
    # via typer
anyio==4.14.2
    # via httpx
babel==2.18.0
    # via
    #   pydata-sphinx-theme
    #   sphinx
beautifulsoup4==4.14.3
    # via pydata-sphinx-theme
certifi==2026.2.25
    # via
    #   httpcore
    #   httpx
    #   requests
charset-normalizer==3.4.7
    # via requests
chronos-forecasting==2.3.1
    # via tslearn (pyproject.toml)
click==8.4.2
    # via huggingface-hub
contourpy==1.3.3
    # via matplotlib
cycler==0.12.1
    # via matplotlib
docutils==0.22.4
    # via
    #   pydata-sphinx-theme
    #   sphinx
einops==0.8.2
    # via chronos-forecasting
filelock==3.32.2
    # via
    #   huggingface-hub
    #   torch
fonttools==4.62.1
    # via matplotlib
fsspec==2026.7.0
    # via
    #   huggingface-hub
    #   torch
h11==0.16.0
    # via httpcore
hf-xet==1.6.0
    # via huggingface-hub
httpcore==1.0.9
    # via httpx
httpx==0.28.1
    # via huggingface-hub
huggingface-hub==1.27.0
    # via
    #   accelerate
    #   tokenizers
    #   transformers
idna==3.15
    # via
    #   anyio
    #   httpx
    #   requests
imagesize==2.0.0
    # via sphinx
jinja2==3.1.6
    # via
    #   sphinx
    #   torch
joblib==1.5.3
    # via
    #   scikit-learn
    #   tslearn (pyproject.toml)
kiwisolver==1.5.0
    # via matplotlib
llvmlite==0.47.0
    # via numba
markdown-it-py==4.2.0
    # via rich
markupsafe==3.0.3
    # via jinja2
matplotlib==3.10.8
    # via tslearn (pyproject.toml)
mdurl==0.1.2
    # via markdown-it-py
mpmath==1.3.0
    # via sympy
networkx==3.6.1
    # via torch
numba==0.65.0
    # via tslearn (pyproject.toml)
numpy==2.4.4
    # via
    #   accelerate
    #   chronos-forecasting
    #   contourpy
    #   matplotlib
    #   numba
    #   pandas
    #   patsy
    #   scikit-learn
    #   scipy
    #   statsmodels
    #   transformers
    #   tslearn (pyproject.toml)
numpydoc==1.10.0
    # via tslearn (pyproject.toml)
packaging==26.1
    # via
    #   accelerate
    #   huggingface-hub
    #   matplotlib
    #   sphinx
    #   statsmodels
    #   transformers
pandas==3.0.5
    # via
    #   chronos-forecasting
    #   statsmodels
patsy==1.0.2
    # via statsmodels
pillow==12.3.0
    # via
    #   matplotlib
    #   sphinx-gallery
psutil==7.2.2
    # via accelerate
pydata-sphinx-theme==0.17.0
    # via tslearn (pyproject.toml)
pygments==2.20.0
    # via
    #   accessible-pygments
    #   pydata-sphinx-theme
    #   rich
    #   sphinx
pypandoc==1.17
    # via tslearn (pyproject.toml)
pyparsing==3.3.2
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   matplotlib
    #   pandas
pyyaml==6.0.3
    # via
    #   accelerate
    #   huggingface-hub
    #   transformers
regex==2026.7.19
    # via transformers
requests==2.33.1
    # via sphinx
rich==15.0.0
    # via typer
roman-numerals==4.1.0
    # via sphinx
safetensors==0.8.0
    # via
    #   accelerate
    #   transformers
scikit-learn==1.8.0
    # via tslearn (pyproject.toml)
scipy==1.17.1
    # via
    #   scikit-learn
    #   statsmodels
    #   tslearn (pyproject.toml)
shellingham==1.5.4
    # via typer
six==1.17.0
    # via python-dateutil
snowballstemmer==3.0.1
    # via sphinx
soupsieve==2.9
    # via beautifulsoup4
sphinx==9.1.0
    # via
    #   numpydoc
    #   pydata-sphinx-theme
    #   sphinx-copybutton
    #   sphinx-gallery
    #   tslearn (pyproject.toml)
sphinx-copybutton==0.5.2
    # via tslearn (pyproject.toml)
sphinx-gallery==0.20.0
    # via tslearn (pyproject.toml)
sphinxcontrib-applehelp==2.0.0
    # via sphinx
sphinxcontrib-devhelp==2.0.0
    # via sphinx
sphinxcontrib-htmlhelp==2.1.0
    # via sphinx
sphinxcontrib-jsmath==1.0.1
    # via sphinx
sphinxcontrib-qthelp==2.0.0
    # via sphinx
sphinxcontrib-serializinghtml==2.0.0
    # via sphinx
statsmodels==0.14.6
    # via tslearn (pyproject.toml)
sympy==1.14.0
    # via torch
threadpoolctl==3.6.0
    # via scikit-learn
tokenizers==0.22.2
    # via transformers
torch==2.13.0
    # via
    #   accelerate
    #   chronos-forecasting
    #   tslearn (pyproject.toml)
tqdm==4.70.0
    # via
    #   huggingface-hub
    #   transformers
transformers==5.15.0
    # via chronos-forecasting
typer==0.27.1
    # via transformers
typing-extensions==4.15.0
    # via
    #   anyio
    #   beautifulsoup4
    #   huggingface-hub
    #   pydata-sphinx-theme
    #   torch
urllib3==2.8.0
    # via requests

# The following packages are considered to be unsafe in a requirements file:
# setuptools
