low_requirements.txt

numpy<1.19.0
gym==0.22.0
pyglet==1.4.0
matplotlib==3.2.0
opencv-python==3.4.8.*
pandas==1.0.0
Pillow==8.0.0
# pygame==2.1.0  # errorで落ちる
tensorflow==2.2.1
# tensorflow-addons==0.10.0  # no support
# tensorflow-probability==0.10.1  # 0.11.0 is requires TensorFlow version >= 2.3  # no support
torch==1.9.0  # nn.HuberLoss was introduces in PyTorch 1.9.0

# If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
# If you cannot immediately regenerate your protos, some other possible workarounds are:
#  1. Downgrade the protobuf package to 3.20.x or lower.
#  2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).
# More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
protobuf<=3.20.0

# https://stackoverflow.com/questions/73929564/entrypoints-object-has-no-attribute-get-digital-ocean
importlib-metadata<5.0

# dev
pytest==8.1.1
pytest-mock==3.14.0
pytest-timeout==2.3.1