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Erik_L
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Apr 26, 2024
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Original file line number | Diff line number | Diff line change |
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@@ -1,116 +1,142 @@ | ||
absl-py==2.1.0 | ||
asttokens==2.4.1 | ||
astunparse==1.6.3 | ||
bayesian-optimization==1.4.3 | ||
cachetools==5.3.3 | ||
certifi==2024.2.2 | ||
charset-normalizer==3.3.2 | ||
cloudpickle==3.0.0 | ||
colorama==0.4.6 | ||
comm==0.2.2 | ||
configparser==5.0.2 | ||
cycler==0.12.1 | ||
debugpy==1.6.7 | ||
decorator==5.1.1 | ||
exceptiongroup==1.2.0 | ||
executing==2.0.1 | ||
filelock==3.13.1 | ||
flatbuffers==23.5.26 | ||
fsspec==2024.3.1 | ||
gast==0.5.4 | ||
google-auth==2.28.1 | ||
google-auth-oauthlib==0.4.6 | ||
google-pasta==0.2.0 | ||
grpcio==1.62.0 | ||
h5py==3.10.0 | ||
idna==3.6 | ||
importlib-metadata==7.0.1 | ||
ipykernel==6.29.3 | ||
ipython==8.18.1 | ||
jedi==0.19.1 | ||
Jinja2==3.1.3 | ||
joblib==1.3.2 | ||
jupyter_client==8.6.1 | ||
jupyter_core==5.7.2 | ||
keras==2.8.0 | ||
Keras-Preprocessing==1.1.2 | ||
kiwisolver==1.4.5 | ||
libclang==16.0.6 | ||
Markdown==3.5.2 | ||
MarkupSafe==2.1.5 | ||
matplotlib==3.4.2 | ||
matplotlib-inline==0.1.6 | ||
mpmath==1.3.0 | ||
nest_asyncio==1.6.0 | ||
networkx==3.2.1 | ||
numpy==1.26.4 | ||
nvidia-cublas-cu11==11.10.3.66 | ||
nvidia-cublas-cu12==12.1.3.1 | ||
nvidia-cuda-cupti-cu12==12.1.105 | ||
nvidia-cuda-nvrtc-cu11==11.7.99 | ||
nvidia-cuda-nvrtc-cu12==12.1.105 | ||
nvidia-cuda-runtime-cu11==11.7.99 | ||
nvidia-cuda-runtime-cu12==12.1.105 | ||
nvidia-cudnn-cu11==8.5.0.96 | ||
nvidia-cudnn-cu12==8.9.2.26 | ||
nvidia-cufft-cu12==11.0.2.54 | ||
nvidia-curand-cu12==10.3.2.106 | ||
nvidia-cusolver-cu12==11.4.5.107 | ||
nvidia-cusparse-cu12==12.1.0.106 | ||
nvidia-nccl-cu12==2.19.3 | ||
nvidia-nvjitlink-cu12==12.4.99 | ||
nvidia-nvtx-cu12==12.1.105 | ||
oauthlib==3.2.2 | ||
opt-einsum==3.3.0 | ||
packaging==24.0 | ||
parso==0.8.3 | ||
pexpect==4.9.0 | ||
pickleshare==0.7.5 | ||
pillow==10.2.0 | ||
pip==23.3.1 | ||
platformdirs==4.2.0 | ||
prompt-toolkit==3.0.42 | ||
protobuf==3.20.1 | ||
psutil==5.9.8 | ||
ptyprocess==0.7.0 | ||
pure-eval==0.2.2 | ||
pyasn1==0.5.1 | ||
pyasn1-modules==0.3.0 | ||
pygad==3.3.1 | ||
Pygments==2.17.2 | ||
pyparsing==3.1.1 | ||
PyQt5==5.15.4 | ||
PyQt5-Qt5==5.15.2 | ||
PyQt5-sip==12.13.0 | ||
python-dateutil==2.9.0 | ||
pyzmq==25.1.2 | ||
requests==2.31.0 | ||
requests-oauthlib==1.3.1 | ||
rsa==4.9 | ||
RubikTwoPhase==1.1.1 | ||
scikit-learn==1.4.1.post1 | ||
scipy==1.12.0 | ||
setuptools==68.2.2 | ||
six==1.16.0 | ||
stack-data==0.6.2 | ||
sympy==1.12 | ||
tensorboard==2.8.0 | ||
tensorboard-data-server==0.6.1 | ||
tensorboard-plugin-wit==1.8.1 | ||
tensorflow==2.8.0 | ||
tensorflow-io-gcs-filesystem==0.36.0 | ||
termcolor==2.4.0 | ||
tf-estimator-nightly==2.8.0.dev2021122109 | ||
threadpoolctl==3.3.0 | ||
torch==1.13.0 | ||
tornado==6.4 | ||
tqdm==4.66.2 | ||
traitlets==5.14.2 | ||
triton==2.2.0 | ||
typing_extensions==4.10.0 | ||
urllib3==2.2.1 | ||
wcwidth==0.2.13 | ||
Werkzeug==3.0.1 | ||
wheel==0.41.2 | ||
wrapt==1.16.0 | ||
zipp==3.17.0 | ||
# This file may be used to create an environment using: | ||
# $ conda create --name <env> --file <this file> | ||
# platform: linux-64 | ||
_libgcc_mutex=0.1=conda_forge | ||
_openmp_mutex=4.5=2_gnu | ||
absl-py=2.1.0=pypi_0 | ||
asttokens=2.4.1=pyhd8ed1ab_0 | ||
astunparse=1.6.3=pypi_0 | ||
bayesian-optimization=1.4.3=pypi_0 | ||
ca-certificates=2024.2.2=hbcca054_0 | ||
cachetools=5.3.3=pypi_0 | ||
certifi=2024.2.2=pypi_0 | ||
charset-normalizer=3.3.2=pypi_0 | ||
cloudpickle=3.0.0=pypi_0 | ||
colorama=0.4.6=pypi_0 | ||
comm=0.2.2=pyhd8ed1ab_0 | ||
configparser=5.0.2=pypi_0 | ||
cycler=0.12.1=pypi_0 | ||
debugpy=1.6.7=py39h6a678d5_0 | ||
decorator=5.1.1=pyhd8ed1ab_0 | ||
exceptiongroup=1.2.0=pyhd8ed1ab_2 | ||
executing=2.0.1=pyhd8ed1ab_0 | ||
filelock=3.13.1=pypi_0 | ||
flatbuffers=23.5.26=pypi_0 | ||
fsspec=2024.3.1=pypi_0 | ||
gast=0.5.4=pypi_0 | ||
google-auth=2.28.1=pypi_0 | ||
google-auth-oauthlib=0.4.6=pypi_0 | ||
google-pasta=0.2.0=pypi_0 | ||
grpcio=1.62.0=pypi_0 | ||
h5py=3.10.0=pypi_0 | ||
idna=3.6=pypi_0 | ||
importlib-metadata=7.0.1=pypi_0 | ||
importlib_metadata=7.0.2=hd8ed1ab_0 | ||
ipykernel=6.29.3=pyhd33586a_0 | ||
ipython=8.18.1=pyh707e725_3 | ||
jedi=0.19.1=pyhd8ed1ab_0 | ||
jinja2=3.1.3=pypi_0 | ||
joblib=1.3.2=pypi_0 | ||
jupyter_client=8.6.1=pyhd8ed1ab_0 | ||
jupyter_core=5.7.2=py39hf3d152e_0 | ||
keras=2.8.0=pypi_0 | ||
keras-preprocessing=1.1.2=pypi_0 | ||
kiwisolver=1.4.5=pypi_0 | ||
ld_impl_linux-64=2.38=h1181459_1 | ||
libclang=16.0.6=pypi_0 | ||
libffi=3.4.4=h6a678d5_0 | ||
libgcc-ng=13.2.0=h807b86a_5 | ||
libgomp=13.2.0=h807b86a_5 | ||
libsodium=1.0.18=h36c2ea0_1 | ||
libstdcxx-ng=11.2.0=h1234567_1 | ||
markdown=3.5.2=pypi_0 | ||
markupsafe=2.1.5=pypi_0 | ||
matplotlib=3.4.2=pypi_0 | ||
matplotlib-inline=0.1.6=pyhd8ed1ab_0 | ||
memory-profiler=0.61.0=pypi_0 | ||
mpmath=1.3.0=pypi_0 | ||
ncurses=6.4=h6a678d5_0 | ||
nest-asyncio=1.6.0=pyhd8ed1ab_0 | ||
networkx=3.2.1=pypi_0 | ||
numpy=1.26.4=pypi_0 | ||
nvidia-cublas-cu11=11.10.3.66=pypi_0 | ||
nvidia-cublas-cu12=12.1.3.1=pypi_0 | ||
nvidia-cuda-cupti-cu12=12.1.105=pypi_0 | ||
nvidia-cuda-nvrtc-cu11=11.7.99=pypi_0 | ||
nvidia-cuda-nvrtc-cu12=12.1.105=pypi_0 | ||
nvidia-cuda-runtime-cu11=11.7.99=pypi_0 | ||
nvidia-cuda-runtime-cu12=12.1.105=pypi_0 | ||
nvidia-cudnn-cu11=8.5.0.96=pypi_0 | ||
nvidia-cudnn-cu12=8.9.2.26=pypi_0 | ||
nvidia-cufft-cu12=11.0.2.54=pypi_0 | ||
nvidia-curand-cu12=10.3.2.106=pypi_0 | ||
nvidia-cusolver-cu12=11.4.5.107=pypi_0 | ||
nvidia-cusparse-cu12=12.1.0.106=pypi_0 | ||
nvidia-nccl-cu12=2.19.3=pypi_0 | ||
nvidia-nvjitlink-cu12=12.4.99=pypi_0 | ||
nvidia-nvtx-cu12=12.1.105=pypi_0 | ||
oauthlib=3.2.2=pypi_0 | ||
openssl=3.2.1=hd590300_1 | ||
opt-einsum=3.3.0=pypi_0 | ||
packaging=24.0=pyhd8ed1ab_0 | ||
parso=0.8.3=pyhd8ed1ab_0 | ||
pexpect=4.9.0=pyhd8ed1ab_0 | ||
pickleshare=0.7.5=py_1003 | ||
pillow=10.2.0=pypi_0 | ||
pip=23.3.1=py39h06a4308_0 | ||
platformdirs=4.2.0=pyhd8ed1ab_0 | ||
prompt-toolkit=3.0.42=pyha770c72_0 | ||
protobuf=3.20.1=pypi_0 | ||
psutil=5.9.8=py39hd1e30aa_0 | ||
ptyprocess=0.7.0=pyhd3deb0d_0 | ||
pure_eval=0.2.2=pyhd8ed1ab_0 | ||
pyasn1=0.5.1=pypi_0 | ||
pyasn1-modules=0.3.0=pypi_0 | ||
pygad=3.3.1=pypi_0 | ||
pygments=2.17.2=pyhd8ed1ab_0 | ||
pyparsing=3.1.1=pypi_0 | ||
pyqt5=5.15.4=pypi_0 | ||
pyqt5-qt5=5.15.2=pypi_0 | ||
pyqt5-sip=12.13.0=pypi_0 | ||
python=3.9.18=h955ad1f_0 | ||
python-dateutil=2.9.0.post0=pypi_0 | ||
python_abi=3.9=2_cp39 | ||
pyzmq=25.1.2=py39h6a678d5_0 | ||
readline=8.2=h5eee18b_0 | ||
requests=2.31.0=pypi_0 | ||
requests-oauthlib=1.3.1=pypi_0 | ||
rsa=4.9=pypi_0 | ||
rubikoptimal=1.1.0=pypi_0 | ||
rubiktwophase=1.1.1=pypi_0 | ||
scikit-learn=1.4.1.post1=pypi_0 | ||
scipy=1.12.0=pypi_0 | ||
setuptools=68.2.2=py39h06a4308_0 | ||
six=1.16.0=pyh6c4a22f_0 | ||
sqlite=3.41.2=h5eee18b_0 | ||
stack_data=0.6.2=pyhd8ed1ab_0 | ||
sympy=1.12=pypi_0 | ||
tensorboard=2.8.0=pypi_0 | ||
tensorboard-data-server=0.6.1=pypi_0 | ||
tensorboard-plugin-wit=1.8.1=pypi_0 | ||
tensorflow=2.8.0=pypi_0 | ||
tensorflow-io-gcs-filesystem=0.36.0=pypi_0 | ||
termcolor=2.4.0=pypi_0 | ||
tf-estimator-nightly=2.8.0.dev2021122109=pypi_0 | ||
threadpoolctl=3.3.0=pypi_0 | ||
tk=8.6.12=h1ccaba5_0 | ||
torch=1.13.0=pypi_0 | ||
tornado=6.4=py39hd1e30aa_0 | ||
tqdm=4.66.2=pypi_0 | ||
traitlets=5.14.2=pyhd8ed1ab_0 | ||
triton=2.2.0=pypi_0 | ||
typing_extensions=4.10.0=pyha770c72_0 | ||
tzdata=2024a=h04d1e81_0 | ||
urllib3=2.2.1=pypi_0 | ||
wcwidth=0.2.13=pyhd8ed1ab_0 | ||
werkzeug=3.0.1=pypi_0 | ||
wheel=0.41.2=py39h06a4308_0 | ||
wrapt=1.16.0=pypi_0 | ||
xz=5.4.6=h5eee18b_0 | ||
zeromq=4.3.5=h6a678d5_0 | ||
zipp=3.17.0=pyhd8ed1ab_0 | ||
zlib=1.2.13=h5eee18b_0 |
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