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requirements.txt
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395 lines (394 loc) · 7.53 KB
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#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
# pip-compile --extra=dev --extra=launch_jobs --output-file=requirements.txt.new pyproject.toml
#
absl-py==2.1.0
# via
# chex
# distrax
# dm-env
# optax
# orbax-checkpoint
# rlax
# tensorboard
# tensorflow-probability
aiosignal==1.3.2
# via ray
attrs==24.3.0
# via
# jsonschema
# referencing
cachetools==5.5.0
# via google-auth
certifi==2024.12.14
# via
# requests
# sentry-sdk
cfgv==3.4.0
# via pre-commit
charset-normalizer==3.4.1
# via requests
chex==0.1.88
# via
# distrax
# optax
# rlax
# train-learned-planner (pyproject.toml)
click==8.1.8
# via
# ray
# wandb
cloudpickle==3.1.0
# via
# gymnasium
# tensorflow-probability
cmdkit==2.7.7
# via names-generator
contourpy==1.3.1
# via matplotlib
cycler==0.12.1
# via matplotlib
databind @ git+https://github.com/rhaps0dy/python-databind.git@merge-fixes#subdirectory=databind
# via farconf
decorator==4.4.2
# via
# moviepy
# tensorflow-probability
deprecated==1.2.15
# via databind
distlib==0.3.9
# via virtualenv
distrax==0.1.5
# via rlax
dm-env==1.6
# via rlax
dm-tree==0.1.8
# via
# dm-env
# tensorflow-probability
docker-pycreds==0.4.0
# via wandb
etils[epath,epy]==1.11.0
# via orbax-checkpoint
exceptiongroup==1.2.2
# via pytest
farama-notifications==0.0.4
# via gymnasium
farconf @ git+https://github.com/AlignmentResearch/farconf.git
# via train-learned-planner (pyproject.toml)
filelock==3.16.1
# via
# huggingface-hub
# ray
# virtualenv
flax==0.8.5
# via train-learned-planner (pyproject.toml)
fonttools==4.55.3
# via matplotlib
frozenlist==1.5.0
# via
# aiosignal
# ray
fsspec==2024.12.0
# via
# etils
# huggingface-hub
# ray
gast==0.6.0
# via tensorflow-probability
gitdb==4.0.11
# via gitpython
gitpython==3.1.43
# via
# train-learned-planner (pyproject.toml)
# wandb
google-auth==2.37.0
# via
# google-auth-oauthlib
# tensorboard
google-auth-oauthlib==1.0.0
# via tensorboard
grpcio==1.68.1
# via tensorboard
gymnasium==0.29.1
# via train-learned-planner (pyproject.toml)
huggingface-hub==0.23.5
# via train-learned-planner (pyproject.toml)
humanize==4.11.0
# via orbax-checkpoint
identify==2.6.4
# via pre-commit
idna==3.10
# via requests
imageio==2.36.1
# via moviepy
imageio-ffmpeg==0.5.1
# via moviepy
importlib-resources==6.4.5
# via etils
iniconfig==2.0.0
# via pytest
# DISABLED jax==0.4.38
# via
# chex
# distrax
# flax
# optax
# orbax-checkpoint
# rlax
# DISABLED jaxlib==0.4.38
# via
# chex
# distrax
# jax
# optax
# rlax
jsonschema==4.23.0
# via ray
jsonschema-specifications==2024.10.1
# via jsonschema
kiwisolver==1.4.8
# via matplotlib
markdown==3.7
# via tensorboard
markdown-it-py==3.0.0
# via rich
markupsafe==3.0.2
# via werkzeug
matplotlib==3.9.4
# via train-learned-planner (pyproject.toml)
mdurl==0.1.2
# via markdown-it-py
ml-dtypes==0.5.0
# via
# jax
# jaxlib
# tensorstore
moviepy==1.0.3
# via train-learned-planner (pyproject.toml)
msgpack==1.1.0
# via
# flax
# orbax-checkpoint
# ray
names-generator==0.1.0
# via train-learned-planner (pyproject.toml)
nest-asyncio==1.6.0
# via orbax-checkpoint
nodeenv==1.9.1
# via
# pre-commit
# pyright
nr-date==2.1.0
# via databind
nr-stream==1.1.5
# via databind
numpy==1.26.4
# via
# chex
# contourpy
# distrax
# dm-env
# flax
# gymnasium
# imageio
# jax
# jaxlib
# matplotlib
# ml-dtypes
# moviepy
# opencv-python
# optax
# orbax-checkpoint
# pandas
# rlax
# scipy
# tensorboard
# tensorboardx
# tensorflow-probability
# tensorstore
oauthlib==3.2.2
# via requests-oauthlib
opencv-python==4.10.0.84
# via train-learned-planner (pyproject.toml)
opt-einsum==3.4.0
# via jax
optax==0.1.9
# via
# flax
# train-learned-planner (pyproject.toml)
orbax-checkpoint==0.11.0
# via flax
packaging==24.2
# via
# huggingface-hub
# matplotlib
# pytest
# ray
# tensorboardx
pandas==2.2.3
# via ray
pillow==11.0.0
# via
# imageio
# matplotlib
platformdirs==4.3.6
# via
# virtualenv
# wandb
pluggy==1.5.0
# via pytest
pre-commit==3.6.2
# via train-learned-planner (pyproject.toml)
proglog==0.1.10
# via moviepy
protobuf==5.29.2
# via
# orbax-checkpoint
# ray
# tensorboard
# tensorboardx
# wandb
psutil==6.1.1
# via wandb
pyarrow==18.1.0
# via ray
pyasn1==0.6.1
# via
# pyasn1-modules
# rsa
pyasn1-modules==0.4.1
# via google-auth
pygments==2.18.0
# via rich
pyparsing==3.2.0
# via matplotlib
pyright==1.1.391
# via train-learned-planner (pyproject.toml)
pytest==8.1.2
# via train-learned-planner (pyproject.toml)
python-dateutil==2.9.0.post0
# via
# matplotlib
# pandas
pytz==2024.2
# via pandas
pyyaml==6.0.2
# via
# farconf
# flax
# huggingface-hub
# orbax-checkpoint
# pre-commit
# ray
# wandb
ray[tune]==2.40.0
# via train-learned-planner (pyproject.toml)
referencing==0.35.1
# via
# jsonschema
# jsonschema-specifications
requests==2.32.3
# via
# huggingface-hub
# moviepy
# ray
# requests-oauthlib
# tensorboard
# wandb
requests-oauthlib==2.0.0
# via google-auth-oauthlib
rich==13.9.4
# via
# flax
# train-learned-planner (pyproject.toml)
rlax==0.1.6
# via train-learned-planner (pyproject.toml)
rpds-py==0.22.3
# via
# jsonschema
# referencing
rsa==4.9
# via google-auth
ruff==0.1.15
# via train-learned-planner (pyproject.toml)
scipy==1.14.1
# via
# jax
# jaxlib
sentry-sdk==2.19.2
# via wandb
setproctitle==1.3.4
# via wandb
simplejson==3.19.3
# via orbax-checkpoint
six==1.17.0
# via
# docker-pycreds
# python-dateutil
# tensorflow-probability
smmap==5.0.1
# via gitdb
tensorboard==2.12.3
# via train-learned-planner (pyproject.toml)
tensorboard-data-server==0.7.2
# via tensorboard
tensorboardx==2.6.2.2
# via
# ray
# train-learned-planner (pyproject.toml)
tensorflow-probability==0.25.0
# via distrax
tensorstore==0.1.71
# via
# flax
# orbax-checkpoint
toml==0.10.2
# via cmdkit
tomli==2.2.1
# via pytest
toolz==1.0.0
# via chex
tqdm==4.67.1
# via
# huggingface-hub
# moviepy
# proglog
typeapi==2.2.3
# via
# databind
# farconf
typing-extensions==4.12.2
# via
# chex
# databind
# etils
# flax
# gymnasium
# huggingface-hub
# orbax-checkpoint
# pyright
# rich
# typeapi
tzdata==2024.2
# via pandas
urllib3==2.3.0
# via
# requests
# sentry-sdk
virtualenv==20.28.0
# via pre-commit
wandb==0.17.9
# via train-learned-planner (pyproject.toml)
werkzeug==3.1.3
# via tensorboard
wheel==0.45.1
# via tensorboard
wrapt==1.17.0
# via deprecated
zipp==3.21.0
# via etils
# The following packages are considered to be unsafe in a requirements file:
# setuptools