Hello everyone,
This message to let you know that we made some final adjustment, based on your feedbacks, of the packages that will be available for the validation (and test) phase of neurips competition.
You can find a detailed list of the packages available in the first message of the github issue https://github.com/rte-france/Grid2Op/issues/97 or you like to scroll down I also put them at the end of this message.
Most importantly, we updated to the latest version of torch (1.6.0) and tensorflow (2.3.0) and we also upgraded to grid2op 1.2.1, lightsim2grid 0.2.4 and l2rpn-baselines 0.5.0
Enjoy :-)
Here are the detailed list of package available when running your agent on this competition. Feel free however to use any packages you want for training :-)
pip3 install -U \
absl-py==0.9.0 \
aiohttp==3.6.2 \
aioredis==1.3.1 \
argon2-cffi==20.1.0 \
astunparse==1.6.3 \
async-timeout==3.0.1 \
atari-py==0.2.6 \
attrs==19.3.0 \
backcall==0.2.0 \
beautifulsoup4==4.9.1 \
bleach==3.1.5 \
blessings==1.7 \
cachetools==4.1.1 \
certifi==2020.6.20 \
cffi==1.14.2 \
chardet==3.0.4 \
click==7.1.2 \
cloudpickle==1.3.0 \
colorama==0.4.3 \
colorful==0.5.4 \
cycler==0.10.0 \
decorator==4.4.2 \
defusedxml==0.6.0 \
dm-tree==0.1.5 \
entrypoints==0.3 \
filelock==3.0.12 \
future==0.18.2 \
gast==0.3.3 \
google==3.0.0 \
google-api-core==1.22.1 \
google-auth==1.20.1 \
google-auth-oauthlib==0.4.1 \
google-pasta==0.2.0 \
googleapis-common-protos==1.52.0 \
gpustat==0.6.0 \
grpcio==1.31.0 \
gym==0.17.2 \
h5py==2.10.0 \
hiredis==1.1.0 \
idna==2.10 \
imageio==2.9.0 \
ipykernel==5.3.4 \
ipython==7.16.0 \
ipython-genutils==0.2.0 \
ipywidgets==7.5.1 \
jedi==0.17.2 \
Jinja2==2.11.2 \
joblib==0.16.0 \
jsonschema==3.2.0 \
jupyter==1.0.0 \
jupyter-client==6.1.6 \
jupyter-console==6.1.0 \
jupyter-core==4.6.3 \
jyquickhelper==0.3.128 \
Keras==2.4.3 \
Keras-Preprocessing==1.1.2 \
kiwisolver==1.2.0 \
llvmlite==0.34.0 \
Markdown==3.2.2 \
MarkupSafe==1.1.1 \
matplotlib==3.3.1 \
mistune==0.8.4 \
msgpack==1.0.0 \
multidict==4.7.6 \
nbconvert==5.6.1 \
nbformat==5.0.7 \
networkx==2.4 \
notebook==6.1.3 \
numba==0.51.0 \
numpy==1.18.5 \
nvidia-ml-py3==7.352.0 \
oauthlib==3.1.0 \
opencensus==0.7.10 \
opencensus-context==0.1.1 \
opencv-python==4.4.0.40 \
opt-einsum==3.3.0 \
packaging==20.4 \
pandapower==2.3.0 \
pandas==1.1.0 \
pandocfilters==1.4.2 \
parso==0.7.1 \
pathlib==1.0.1 \
patsy==0.5.1 \
pexpect==4.8.0 \
pickleshare==0.7.5 \
Pillow==7.2.0 \
plotly==4.9.0 \
prometheus-client==0.8.0 \
prompt-toolkit==3.0.6 \
protobuf==3.13.0 \
psutil==5.7.2 \
ptyprocess==0.6.0 \
py-spy==0.3.3 \
pyasn1==0.4.8 \
pyasn1-modules==0.2.8 \
pybind11==2.5.0 \
pycparser==2.20 \
pygifsicle==1.0.1 \
pyglet==1.5.0 \
Pygments==2.6.1 \
pyparsing==2.4.7 \
pyrsistent==0.16.0 \
python-dateutil==2.8.1 \
pytz==2020.1 \
PyYAML==5.3.1 \
pyzmq==19.0.2 \
qtconsole==4.7.5 \
QtPy==1.9.0 \
ray==0.8.7 \
redis==3.4.1 \
requests==2.24.0 \
requests-oauthlib==1.3.0 \
retrying==1.3.3 \
rsa==4.6 \
scikit-learn==0.23.2 \
scipy==1.4.1 \
seaborn==0.10.1 \
Send2Trash==1.5.0 \
six==1.15.0 \
soupsieve==2.0.1 \
stable-baselines==2.10.1 \
statsmodels==0.11.1 \
tensorboard==2.3.0 \
tensorboard-plugin-wit==1.7.0 \
tensorflow==2.3.0 \
tensorflow-estimator==2.3.0 \
tensorflow-probability==0.11.0 \
termcolor==1.1.0 \
terminado==0.8.3 \
testpath==0.4.4 \
threadpoolctl==2.1.0 \
torch==1.6.0 \
tornado==6.0.4 \
traitlets==4.3.3 \
urllib3==1.25.10 \
wcwidth==0.2.5 \
webencodings==0.5.1 \
Werkzeug==1.0.1 \
widgetsnbextension==3.5.1 \
wrapt==1.12.1 \
yarl==1.5.1