Grid2Op
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rte-france
Packages available for L2RPN 2022 competition
The complete list of packages available for 2022 competition is:
absl-py==1.1.0
acme==1.27.0
aiohttp==3.8.1
aiohttp-cors==0.7.0
aioredis==2.0.1
aiosignal==1.2.0
alabaster==0.7.12
ale-py==0.7.5
antlr4-python3-runtime==4.9.3
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
ase==3.22.1
astor==0.8.1
asttokens==2.0.5
astunparse==1.6.3
async-timeout==4.0.2
atari-py==0.2.9
attrs==21.4.0
autopep8==1.6.0
AutoROM==0.4.2
AutoROM.accept-rom-license==0.4.2
Babel==2.10.1
backcall==0.2.0
bayesian-optimization==1.2.0
BayesianOptimization==0.0.0
beautifulsoup4==4.11.1
bleach==5.0.0
blessings==1.7
branca==0.5.0
cachetools==5.2.0
certifi==2022.5.18.1
cffi==1.15.0
cftime==1.6.0
charset-normalizer==2.0.12
chex==0.1.3
Chronix2Grid==1.1.0.post1
click==8.1.3
cloudpickle==2.1.0
cma==3.2.2
colorama==0.4.4
colorful==0.5.4
colorlover==0.3.0
cryptography==37.0.2
cufflinks==0.17.3
cvxopt==1.3.0
cvxpy==1.2.1
cycler==0.11.0
cylp==0.91.5
debugpy==1.6.0
decorator==5.1.1
defusedxml==0.7.1
Deprecated==1.2.13
deprecation==2.1.0
dgl==0.8.2
dglgo==0.0.1
distlib==0.3.4
dm-acme==0.4.0
dm-env==1.5
dm-launchpad==0.5.0
dm-sonnet==2.0.0
dm-tree==0.1.7
docutils==0.18.1
dopamine-rl==4.0.5
ecos==2.0.10
entrypoints==0.4
et-xmlfile==1.1.0
executing==0.8.3
fastjsonschema==2.15.3
filelock==3.7.1
flatbuffers==1.12
flax==0.3.4
folium==0.12.1.post1
fonttools==4.33.3
frozenlist==1.3.0
gast==0.4.0
gin-config==0.5.0
google-auth==2.6.6
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
Grid2Op==1.7.2
grpcio==1.43.0
gym==0.21.0
h5py==3.7.0
hydra-core==1.2.0
idna==3.3
imageio==2.19.3
imagesize==1.3.0
importlib-metadata==4.11.4
importlib-resources==5.7.1
iniconfig==1.1.1
ipykernel==6.13.1
ipython==8.4.0
ipython-genutils==0.2.0
ipywidgets==7.7.0
isodate==0.6.1
isort==5.10.1
jax==0.3.13
jaxlib==0.3.10
jedi==0.18.1
Jinja2==3.1.2
joblib==1.1.0
josepy==1.13.0
jraph==0.0.5.dev0
json5==0.9.8
jsonschema==4.6.0
jupyter==1.0.0
jupyter-client==7.3.3
jupyter-console==6.4.3
jupyter-core==4.10.0
jupyterlab-pygments==0.2.2
jupyterlab-widgets==1.1.0
keras==2.9.0
Keras-Preprocessing==1.1.2
kiwisolver==1.4.2
l2rpn-baselines==0.6.0.post1
libclang==14.0.1
LightSim2Grid==0.7.0.post1
llvmlite==0.38.1
lxml==4.9.0
lz4==4.0.1
Markdown==3.3.7
MarkupSafe==2.1.1
matplotlib==3.5.2
matplotlib-inline==0.1.3
mirakuru==2.4.2
mistune==0.8.4
mock==4.0.3
msgpack==1.0.4
multidict==6.0.2
nbclient==0.6.4
nbconvert==6.5.0
nbformat==5.4.0
nest-asyncio==1.5.5
netCDF4==1.5.8
networkx==2.8.3
nevergrad==0.5.0
nose==1.3.7
notebook==6.4.11
numba==0.55.2
numexpr==2.8.1
numpy==1.22.4
numpydoc==1.3.1
oauthlib==3.2.0
omegaconf==2.2.2
opencv-python==4.5.5.64
openpyxl==3.0.10
opt-einsum==3.3.0
optax==0.1.2
ortools==9.3.10497
osqp==0.6.2.post5
packaging==21.3
paddle-bfloat==0.1.2
paddlepaddle==2.3.0
pandapower==2.9.0
pandas==1.4.2
pandocfilters==1.5.0
parso==0.8.3
patsy==0.5.2
pexpect==4.8.0
pickleshare==0.7.5
Pillow==9.1.1
platformdirs==2.5.2
plotly==5.8.0
pluggy==0.13.1
ply==3.11
port-for==0.6.2
portpicker==1.5.0
prometheus-client==0.14.1
prompt-toolkit==3.0.29
protobuf==3.19.4
psutil==5.9.1
ptyprocess==0.7.0
pure-eval==0.2.2
py==1.11.0
pyasn1==0.4.8
pyasn1-modules==0.2.8
pybind11==2.9.2
pycodestyle==2.8.0
pycparser==2.21
pydantic==1.9.1
pygame==2.0.1
pygifsicle==1.0.5
pyglet==1.5.26
Pygments==2.12.0
Pympler==1.0.1
Pyomo==6.4.1
pyOpenSSL==22.0.0
pyparsing==3.0.9
pypsa==0.19.3
pyRFC3339==1.1
pyrsistent==0.18.1
pytest==6.2.4
pytest-redis==2.1.1
pytest-timeout==1.4.2
pytest-tornasync==0.6.0.post2
python-dateutil==2.8.2
pytz==2022.1
PyUtilib==6.0.0
PyWavelets==1.3.0
PyYAML==6.0
pyzmq==23.1.0
qdldl==0.1.5.post2
qtconsole==5.3.1
QtPy==2.1.0
ray==1.12.1
redis==4.3.3
requests==2.27.1
requests-oauthlib==1.3.1
requests-toolbelt==0.9.1
rsa==4.8
ruamel.yaml==0.17.21
ruamel.yaml.clib==0.2.6
scikit-image==0.19.2
scikit-learn==1.1.1
scipy==1.8.1
scs==3.2.0
seaborn==0.11.1
Send2Trash==1.8.0
six==1.16.0
sklearn==0.0
snowballstemmer==2.2.0
soupsieve==2.3.2.post1
spektral==1.1.0
Sphinx==5.0.1
sphinxcontrib-applehelp==1.0.2
sphinxcontrib-devhelp==1.0.2
sphinxcontrib-htmlhelp==2.0.0
sphinxcontrib-jsmath==1.0.1
sphinxcontrib-qthelp==1.0.3
sphinxcontrib-serializinghtml==1.1.5
stable-baselines3==1.5.0
stack-data==0.2.0
statsmodels==0.13.2
tables==3.7.0
tabulate==0.8.9
tenacity==8.0.1
tensorboard==2.9.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorboardX==2.5.1
tensorflow==2.9.1
tensorflow-addons==0.17.0
tensorflow-estimator==2.9.0
tensorflow-io-gcs-filesystem==0.26.0
tensorflow-probability==0.16.0
termcolor==1.1.0
terminado==0.15.0
tf-slim==1.1.0
threadpoolctl==3.1.0
tianshou==0.4.8
tifffile==2022.5.4
tinycss2==1.1.1
toml==0.10.2
tomli==2.0.1
toolz==0.11.2
torch==1.11.0+cpu
torch-cluster==1.6.0
torch-geometric==2.0.4
torch-scatter==2.0.9
torch-sparse==0.6.13
torch-spline-conv==1.2.1
torchaudio==0.11.0+cpu
torchvision==0.12.0+cpu
tornado==6.1
tqdm==4.64.0
traitlets==5.2.2.post1
typeguard==2.13.3
typer==0.4.1
typing_extensions==4.2.0
urllib3==1.26.9
virtualenv==20.14.1
wcwidth==0.2.5
webencodings==0.5.1
Werkzeug==2.1.2
widgetsnbextension==3.6.0
wrapt==1.14.1
xarray==2022.3.0
xgboost==1.6.1
XlsxWriter==3.0.3
yarl==1.7.2
zipp==3.8.0
Want to use a package not on the list ? Write down its name and we'll see what we can do NB packages can only be added BEFORE the end of the warmup phase so BEFORE the validation starts. Once the validation phase starts, no more packages (unless if a critical bug is found) will be modified.
EDIT 2022/07/05
Upgrade of some package versions:
- grid2op ~~1.7.1~~ -> 1.7.2
- lightsim2grid ~~0.7.0~~ -> 0.7.0.post1
- l2rpn-baselines ~~0.6.0~~ -> 0.6.0.post1
To install the previous packages, you need to perform an installation in two steps (if you try to install them all at once it will fail because of pytorch.
1 install almost all packages
python3 -m pip install numpy==1.22.4 scipy==1.8.1
python3 -m pip install "cvxopt==1.3.0" "cylp==0.91.5" # to use cvxopt and GLPK in cvxpy
Then:
python3 -m pip install absl-py==1.1.0 \
acme==1.27.0 \
aiosignal==1.2.0 \
aiohttp==3.8.1 \
aiohttp-cors==0.7.0 \
aioredis==2.0.1 \
alabaster==0.7.12 \
ale-py==0.7.5 \
antlr4-python3-runtime==4.9.3 \
argon2-cffi==21.3.0 \
argon2-cffi-bindings==21.2.0 \
ase==3.22.1 \
astor==0.8.1 \
asttokens==2.0.5 \
astunparse==1.6.3 \
async-timeout==4.0.2 \
atari-py==0.2.9 \
attrs==21.4.0 \
autopep8==1.6.0 \
AutoROM==0.4.2 \
AutoROM.accept-rom-license==0.4.2 \
Babel==2.10.1 \
backcall==0.2.0 \
# bayesian-optimization==1.2.0 \ # does not work due to scikit learn (only works with sklearn <= 0.22)
BayesianOptimization==0.0.0 \
beautifulsoup4==4.11.1 \
bleach==5.0.0 \
blessings==1.7 \
branca==0.5.0 \
cachetools==5.2.0 \
certifi==2022.5.18.1 \
cffi==1.15.0 \
cftime==1.6.0 \
charset-normalizer==2.0.12 \
chex==0.1.3 \
Chronix2Grid==1.1.0.post1 \
click==8.1.3 \
cloudpickle==2.1.0 \
cma==3.2.2 \
colorama==0.4.4 \
colorful==0.5.4 \
colorlover==0.3.0 \
cryptography==37.0.2 \
cufflinks==0.17.3 \
cvxopt==1.3.0 \
cvxpy==1.2.1 \
cycler==0.11.0 \
cylp==0.91.5 \
debugpy==1.6.0 \
decorator==5.1.1 \
defusedxml==0.7.1 \
Deprecated==1.2.13 \
deprecation==2.1.0 \
dgl==0.8.2 \
dglgo==0.0.1 \
-f https://data.dgl.ai/wheels/repo.html \
distlib==0.3.4 \
dm-acme==0.4.0 \
dm-env==1.5 \
dm-launchpad==0.5.0 \
dm-sonnet==2.0.0 \
dm-tree==0.1.7 \
docutils==0.18.1 \
dopamine-rl==4.0.5 \
ecos==2.0.10 \
entrypoints==0.4 \
executing==0.8.3 \
fastjsonschema==2.15.3 \
filelock==3.7.1 \
flatbuffers==1.12 \
flax==0.3.4 \
folium==0.12.1.post1 \
fonttools==4.33.3 \
frozenlist==1.3.0 \
gast==0.4.0 \
gin-config==0.5.0 \
google-auth==2.6.6 \
google-auth-oauthlib==0.4.6 \
google-pasta==0.2.0 \
Grid2Op==1.7.2 \
grpcio==1.43.0 \
gym==0.21.0 \
h5py==3.7.0 \
hydra-core==1.2.0 \
idna==3.3 \
imageio==2.19.3 \
imagesize==1.3.0 \
importlib-metadata==4.11.4 \
importlib-resources==5.7.1 \
iniconfig==1.1.1 \
ipykernel==6.13.1 \
ipython==8.4.0 \
ipython-genutils==0.2.0 \
ipywidgets==7.7.0 \
isodate==0.6.1 \
isort==5.10.1 \
jax==0.3.13 \
jaxlib==0.3.10 \
jedi==0.18.1 \
Jinja2==3.1.2 \
joblib==1.1.0 \
josepy==1.13.0 \
jraph==0.0.5.dev0 \
json5==0.9.8 \
jsonschema==4.6.0 \
jupyter==1.0.0 \
jupyter-client==7.3.3 \
jupyter-console==6.4.3 \
jupyter-core==4.10.0 \
jupyterlab-pygments==0.2.2 \
jupyterlab-widgets==1.1.0 \
keras==2.9.0 \
Keras-Preprocessing==1.1.2 \
kiwisolver==1.4.2 \
l2rpn-baselines==0.6.0.post1 \
libclang==14.0.1 \
LightSim2Grid==0.7.0.post1 \
llvmlite==0.38.1 \
lxml==4.9.0 \
lz4==4.0.1 \
Markdown==3.3.7 \
MarkupSafe==2.1.1 \
matplotlib==3.5.2 \
matplotlib-inline==0.1.3 \
mirakuru==2.4.2 \
mistune==0.8.4 \
mock==4.0.3 \
msgpack==1.0.4 \
multidict==6.0.2 \
nbclient==0.6.4 \
nbconvert==6.5.0 \
nbformat==5.4.0 \
nest-asyncio==1.5.5 \
netCDF4==1.5.8 \
networkx==2.8.3 \
nevergrad==0.5.0 \
nose==1.3.7 \
notebook==6.4.11 \
numba==0.55.2 \
numexpr==2.8.1 \
numpydoc==1.3.1 \
oauthlib==3.2.0 \
omegaconf==2.2.2 \
opencv-python==4.5.5.64 \
openpyxl==3.0.10 \
opt-einsum==3.3.0 \
optax==0.1.2 \
ortools==9.3.10497 \
osqp==0.6.2.post5 \
packaging==21.3 \
paddle-bfloat==0.1.2 \
paddlepaddle==2.3.0 \
pandapower==2.9.0 \
pandas==1.4.2 \
pandocfilters==1.5.0 \
parso==0.8.3 \
patsy==0.5.2 \
pexpect==4.8.0 \
pickleshare==0.7.5 \
Pillow==9.1.1 \
platformdirs==2.5.2 \
plotly==5.8.0 \
pluggy==0.13.1 \
ply==3.11 \
port-for==0.6.2 \
portpicker==1.5.0 \
prometheus-client==0.14.1 \
prompt-toolkit==3.0.29 \
protobuf==3.19.4 \
psutil==5.9.1 \
ptyprocess==0.7.0 \
pure-eval==0.2.2 \
py==1.11.0 \
pyasn1==0.4.8 \
pyasn1-modules==0.2.8 \
pybind11==2.9.2 \
pycodestyle==2.8.0 \
pycparser==2.21 \
pydantic==1.9.1 \
pygame==2.0.1 \
pyglet==1.5.26 \
pygifsicle==1.0.5 \
Pygments==2.12.0 \
Pympler==1.0.1 \
Pyomo==6.4.1 \
pyOpenSSL==22.0.0 \
pyparsing==3.0.9 \
pypsa==0.19.3 \
pyRFC3339==1.1 \
pyrsistent==0.18.1 \
pytest==6.2.4 \
pytest-redis==2.1.1 \
pytest-timeout==1.4.2 \
pytest-tornasync==0.6.0.post2 \
python-dateutil==2.8.2 \
pytz==2022.1 \
PyUtilib==6.0.0 \
PyWavelets==1.3.0 \
PyYAML==6.0 \
pyzmq==23.1.0 \
qdldl==0.1.5.post2 \
qtconsole==5.3.1 \
QtPy==2.1.0 \
ray==1.12.1 \
redis==4.3.3 \
requests==2.27.1 \
requests-oauthlib==1.3.1 \
requests-toolbelt==0.9.1 \
rsa==4.8 \
ruamel.yaml==0.17.21 \
ruamel.yaml.clib==0.2.6 \
scikit-image==0.19.2 \
scikit-learn==1.1.1 \
# scikit-learn==0.22 \
scs==3.2.0 \
seaborn==0.11.1 \
Send2Trash==1.8.0 \
six==1.16.0 \
sklearn==0.0 \
snowballstemmer==2.2.0 \
soupsieve==2.3.2.post1 \
spektral==1.1.0 \
Sphinx==5.0.1 \
sphinxcontrib-applehelp==1.0.2 \
sphinxcontrib-devhelp==1.0.2 \
sphinxcontrib-htmlhelp==2.0.0 \
sphinxcontrib-jsmath==1.0.1 \
sphinxcontrib-qthelp==1.0.3 \
sphinxcontrib-serializinghtml==1.1.5 \
stable-baselines3==1.5.0 \
stack-data==0.2.0 \
statsmodels==0.13.2 \
tables==3.7.0 \
tabulate==0.8.9 \
tenacity==8.0.1 \
tensorboard==2.9.0 \
tensorboard-data-server==0.6.1 \
tensorboard-plugin-wit==1.8.1 \
tensorboardX==2.5.1 \
tensorflow==2.9.1 \
tensorflow-addons==0.17.0 \
tensorflow-estimator==2.9.0 \
tensorflow-io-gcs-filesystem==0.26.0 \
tensorflow-probability==0.16.0 \
termcolor==1.1.0 \
terminado==0.15.0 \
tf-slim==1.1.0 \
threadpoolctl==3.1.0 \
tianshou==0.4.8 \
tifffile==2022.5.4 \
tinycss2==1.1.1 \
toml==0.10.2 \
tomli==2.0.1 \
toolz==0.11.2 \
torch==1.11.0+cpu \
torchaudio==0.11.0+cpu \
torchvision==0.12.0+cpu \
--extra-index-url https://download.pytorch.org/whl/cpu \
tornado==6.1 \
tqdm==4.64.0 \
traitlets==5.2.2.post1 \
typeguard==2.13.3 \
typer==0.4.1 \
typing_extensions==4.2.0 \
urllib3==1.26.9 \
virtualenv==20.14.1 \
wcwidth==0.2.5 \
webencodings==0.5.1 \
Werkzeug==2.1.2 \
widgetsnbextension==3.6.0 \
wrapt==1.14.1 \
xarray==2022.3.0 \
xgboost==1.6.1 \
XlsxWriter==3.0.3 \
zipp==3.8.0
2 Install pytorch extra packages
Then you can:
python3 -m pip install torch-scatter \
torch-sparse \
torch-cluster \
torch-spline-conv \
torch-geometric \
-f https://data.pyg.org/whl/torch-1.11.0+cpu.html
Edit 2022-07-05
Upgrade to the following:
- grid2op ~~1.7.1~~ -> 1.7.2
- lightsim2grid ~~0.7.0~~ -> 0.7.0.post1
- l2rpn-baselines ~~0.6.0~~ -> 0.6.0.post1
NB This list of packages is only usefull during the test phase on codalab. You are free to use ANY packages you want to train / fine tune / improve your agent locally.
The evaluation of the submissions will use the bdonnot/l2rpn.2022.0 docker image:
docker pull bdonnot/l2rpn.2022.1
The file to replicate the environment used to evaluate the submission is:
(this is a Docker file, please refer to Docker manual if you need more information)
Edit 2022-07-05
New image docker ~~bdonnot/l2rpn.2022.0~~ -> bdonnot/l2rpn.2022.1 for assessing the agent
Edit 2022-07-05: new grid2op, lightsim2grid, l2rpn-baselines version and new docker image
Hello,
I am not sure I understand your comment.
But the warm-up phase is over. It's not possible to add packages right now (to be fair to participants that already submitted agents)
Let me know if I can be of further.m assistance
您好，我想跑一下这个代码，但是没有跑通，可以加您微信咨询一下么？ 13290551696
------------------ 原始邮件 ------------------ 发件人: "rte-france/Grid2Op" @.>; 发送时间: 2022年7月22日(星期五) 晚上7:29 @.>; @.@.>; 主题: Re: [rte-france/Grid2Op] Packages available for L2RPN 2022 competition (Issue #332)
Hello,
I am not sure I understand your comment.
But the warm-up phase is over. It's not possible to add packages right now (to be fair to participants that already submitted agents)
Let me know if I can be of further.m assistance
— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.***>
I used Google translate to translate your question.
Can you join our discord?
https://discord.gg/cYsYrPT
You will receive technical help there. I don't have wechat.
To replicate the basis of the environment of the competition you can do:
pip install "grid2op==1.7.2" "lightsim2grid==0.7.0.post1" "l2rpn_baselines==0.6.0.post1"
(with a working python installation on your computer)
OKOK,thank you vary much
------------------ 原始邮件 ------------------ 发件人: "rte-france/Grid2Op" @.>; 发送时间: 2022年7月22日(星期五) 晚上8:01 @.>; @.@.>; 主题: Re: [rte-france/Grid2Op] Packages available for L2RPN 2022 competition (Issue #332)
I used Google translate to translate your question.
Can you join our discord?
https://discord.gg/cYsYrPT
You will receive technical help there. I don't have wechat.
To replicate the basis of the environment of the competition you can do:
pip install "grid2op==1.7.2" "lightsim2grid==0.7.0.post1" "l2rpn_baselines==0.6.0.post1"
(with a working python installation on your computer)
— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.***>