
[benchmark]
asv
virtualenv

[checking]
black
blackdoc
hacking
isort
mypy==0.790

[codecov]
codecov
pytest-cov

[doctest]
cma
matplotlib>=3.0.0
mlflow
pandas
plotly>=4.0.0
scikit-learn<1.0.0,>=0.24.2
scikit-optimize

[document]
Jinja2<3.0.0
MarkupSafe<=2.0.1
lightgbm
matplotlib
pandas
pillow
plotly>=4.0.0
scikit-learn<1.0.0
sphinx-copybutton<=0.4.0
sphinx-gallery<=0.10.0
sphinx-plotly-directive<=0.1.3
sphinx<=3.5.4
sphinx_rtd_theme<=1.0.0
thop
torch==1.8.0
torchaudio==0.8.0
torchvision==0.9.0

[experimental]
redis

[integration]
allennlp<2.7.0,>=2.2.0
catalyst>=21.3
chainer>=5.0.0
cma
fastai
lightgbm
mlflow
mpi4py
mxnet
pandas
pytorch-ignite
pytorch-lightning>=1.0.2
scikit-learn<1.0.0,>=0.24.2
scikit-optimize
skorch
tensorflow
tensorflow-datasets
torchaudio==0.8.0
wandb
xgboost

[integration:python_version > "3.6"]
botorch>=0.4.0

[integration:sys_platform != "darwin"]
torch==1.8.0+cpu
torchvision==0.9.0+cpu

[integration:sys_platform == "darwin"]
torch==1.8.0
torchvision==0.9.0

[optional]
bokeh<2.0.0
matplotlib>=3.0.0
pandas
plotly>=4.0.0
redis
scikit-learn<1.0.0,>=0.24.2

[testing]
allennlp<2.7.0,>=2.2.0
bokeh<2.0.0
catalyst>=21.3
chainer>=5.0.0
cma
fakeredis
fastai
lightgbm
matplotlib>=3.0.0
mlflow
mpi4py
mxnet
pandas
plotly>=4.0.0
pytest
pytorch-ignite
pytorch-lightning>=1.0.2
scikit-learn<1.0.0,>=0.24.2
scikit-optimize
skorch
tensorflow
tensorflow-datasets
torchaudio==0.8.0
xgboost

[testing:python_version > "3.6"]
botorch>=0.4.0

[testing:sys_platform != "darwin"]
torch==1.8.0+cpu
torchvision==0.9.0+cpu

[testing:sys_platform == "darwin"]
torch==1.8.0
torchvision==0.9.0

[tests]
fakeredis
pytest
