gresit/requirements_dev.txt at main · windisch/gresit · GitHub

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#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
#    pip-compile --allow-unsafe --annotation-style=line --extra=dev --no-emit-index-url --no-emit-trusted-host --output-file=requirements_dev.txt pyproject.toml
#
babel==2.17.0             # via mkdocs-material
backrefs==5.8             # via mkdocs-material
build==1.2.2.post1        # via pip-tools
causal-learn==0.1.4.1     # via gresit (pyproject.toml)
certifi==2025.4.26        # via requests
cfgv==3.4.0               # via pre-commit
charset-normalizer==3.4.2  # via requests
click==8.2.0              # via mkdocs, pip-tools
colorama==0.4.6           # via griffe, mkdocs-material
contourpy==1.3.2          # via matplotlib
coverage[toml]==7.8.0     # via pytest-cov
cycler==0.12.1            # via matplotlib
dcor==0.6                 # via gresit (pyproject.toml)
distlib==0.3.9            # via virtualenv
exceptiongroup==1.3.0     # via pytest
filelock==3.18.0          # via torch, virtualenv
fonttools==4.58.0         # via matplotlib
fsspec==2025.3.2          # via torch
gadjid==0.1.0             # via gresit (pyproject.toml)
gcastle==1.0.4            # via gresit (pyproject.toml)
ghp-import==2.1.0         # via mkdocs
gpytorch==1.14            # via gresit (pyproject.toml)
graphviz==0.20.3          # via causal-learn
griffe==1.7.3             # via mkdocstrings-python
identify==2.6.10          # via pre-commit
idna==3.10                # via requests
importlib-metadata==8.7.0  # via mike
importlib-resources==6.5.2  # via mike
iniconfig==2.1.0          # via pytest
jaxtyping==0.3.2          # via gpytorch, linear-operator
jinja2==3.1.6             # via mike, mkdocs, mkdocs-material, mkdocstrings, torch
joblib==1.5.0             # via dcor, scikit-learn
kiwisolver==1.4.8         # via matplotlib
linear-operator==0.6      # via gpytorch
llvmlite==0.43.0          # via gresit (pyproject.toml), numba
markdown==3.8             # via mkdocs, mkdocs-autorefs, mkdocs-material, mkdocstrings, pymdown-extensions
markupsafe==3.0.2         # via jinja2, mkdocs, mkdocs-autorefs, mkdocstrings
matplotlib==3.10.3        # via causal-learn, gcastle, seaborn
mergedeep==1.3.4          # via mkdocs, mkdocs-get-deps
mike==2.1.3               # via gresit (pyproject.toml)
mkdocs==1.6.1             # via gresit (pyproject.toml), mike, mkdocs-autorefs, mkdocs-material, mkdocstrings
mkdocs-autorefs==1.4.1    # via mkdocstrings, mkdocstrings-python
mkdocs-get-deps==0.2.0    # via mkdocs
mkdocs-material==9.6.14   # via gresit (pyproject.toml)
mkdocs-material-extensions==1.3.1  # via mkdocs-material
mkdocstrings[python]==0.29.1  # via gresit (pyproject.toml), mkdocstrings-python
mkdocstrings-python==1.16.10  # via mkdocstrings
momentchi2==0.1.8         # via causal-learn
mpmath==1.3.0             # via gpytorch, linear-operator, sympy
narwhals==1.40.0          # via plotly
networkx==3.4.2           # via causal-learn, gcastle, torch
nodeenv==1.9.1            # via pre-commit
numba==0.60.0             # via dcor
numpy==1.26.4             # via causal-learn, contourpy, dcor, gadjid, gcastle, gresit (pyproject.toml), matplotlib, momentchi2, numba, pandas, patsy, scikit-learn, scikit-misc, scipy, seaborn, statsmodels, xgboost
nvidia-cublas-cu12==12.6.4.1  # via nvidia-cudnn-cu12, nvidia-cusolver-cu12, torch
nvidia-cuda-cupti-cu12==12.6.80  # via torch
nvidia-cuda-nvrtc-cu12==12.6.77  # via torch
nvidia-cuda-runtime-cu12==12.6.77  # via torch
nvidia-cudnn-cu12==9.5.1.17  # via torch
nvidia-cufft-cu12==11.3.0.4  # via torch
nvidia-cufile-cu12==1.11.1.6  # via torch
nvidia-curand-cu12==10.3.7.77  # via torch
nvidia-cusolver-cu12==11.7.1.2  # via torch
nvidia-cusparse-cu12==12.5.4.2  # via nvidia-cusolver-cu12, torch
nvidia-cusparselt-cu12==0.6.3  # via torch
nvidia-nccl-cu12==2.26.2  # via torch, xgboost
nvidia-nvjitlink-cu12==12.6.85  # via nvidia-cufft-cu12, nvidia-cusolver-cu12, nvidia-cusparse-cu12, torch
nvidia-nvtx-cu12==12.6.77  # via torch
packaging==25.0           # via build, matplotlib, mkdocs, plotly, pytest, statsmodels
paginate==0.5.7           # via mkdocs-material
pandas==2.2.3             # via causal-learn, gcastle, gresit (pyproject.toml), seaborn, statsmodels
pathspec==0.12.1          # via mkdocs
patsy==1.0.1              # via statsmodels
pillow==11.2.1            # via matplotlib
pip-licenses==5.0.0       # via gresit (pyproject.toml)
pip-tools==7.4.1          # via gresit (pyproject.toml)
platformdirs==4.3.8       # via mkdocs-get-deps, virtualenv
plotly==6.1.0             # via gresit (pyproject.toml)
pluggy==1.6.0             # via pytest
pre-commit==4.2.0         # via gresit (pyproject.toml)
prettytable==3.16.0       # via pip-licenses
py4j==0.10.9.7            # via pyspark
pydot==4.0.0              # via causal-learn
pygments==2.19.1          # via mkdocs-material
pymdown-extensions==10.15  # via mkdocs-material, mkdocstrings
pyparsing==3.2.3          # via matplotlib, mike, pydot
pyproject-hooks==1.2.0    # via build, pip-tools
pyspark==3.5.5            # via gresit (pyproject.toml)
pytest==8.3.5             # via gresit (pyproject.toml), pytest-cov
pytest-cov==6.1.1         # via gresit (pyproject.toml)
python-dateutil==2.9.0.post0  # via ghp-import, matplotlib, pandas
pytz==2025.2              # via pandas
pyyaml==6.0.2             # via mike, mkdocs, mkdocs-get-deps, pre-commit, pymdown-extensions, pyyaml-env-tag
pyyaml-env-tag==1.1       # via mike, mkdocs
requests==2.32.3          # via mkdocs-material
ruff==0.11.10             # via gresit (pyproject.toml)
scikit-learn==1.6.1       # via causal-learn, gcastle, gpytorch, gresit (pyproject.toml)
scikit-misc==0.5.1        # via gresit (pyproject.toml)
scipy==1.15.3             # via causal-learn, dcor, gcastle, gpytorch, linear-operator, momentchi2, scikit-learn, statsmodels, xgboost
seaborn==0.13.2           # via gresit (pyproject.toml)
six==1.17.0               # via python-dateutil
statsmodels==0.14.4       # via causal-learn, gresit (pyproject.toml)
sympy==1.14.0             # via torch
threadpoolctl==3.6.0      # via scikit-learn
tomli==2.2.1              # via build, coverage, pip-licenses, pip-tools, pytest
torch==2.7.0              # via gresit (pyproject.toml), linear-operator
tqdm==4.67.1              # via causal-learn, gcastle, gresit (pyproject.toml)
triton==3.3.0             # via torch
typing-extensions==4.13.2  # via exceptiongroup, mkdocstrings-python, torch
tzdata==2025.2            # via pandas
urllib3==2.4.0            # via requests
uv==0.7.6                 # via gresit (pyproject.toml)
verspec==0.1.0            # via mike
virtualenv==20.31.2       # via pre-commit
wadler-lindig==0.1.6      # via jaxtyping
watchdog==6.0.0           # via mkdocs
wcwidth==0.2.13           # via prettytable
wheel==0.45.1             # via pip-tools
xgboost==3.0.1            # via gresit (pyproject.toml)
zipp==3.21.0              # via importlib-metadata

# The following packages are considered to be unsafe in a requirements file:
pip==25.1.1               # via pip-tools
setuptools==80.7.1        # via pip-tools, triton