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requirements.txt
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requirements.txt
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# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: win-64
anyio=3.5.0=py38haa95532_0
argon2-cffi=21.3.0=pyhd3eb1b0_0
argon2-cffi-bindings=21.2.0=py38h2bbff1b_0
asttokens=2.0.5=pyhd3eb1b0_0
attrs=22.1.0=py38haa95532_0
backcall=0.2.0=pyhd3eb1b0_0
beautifulsoup4=4.11.1=py38haa95532_0
blas=1.0=mkl
bleach=4.1.0=pyhd3eb1b0_0
brotlipy=0.7.0=py38h2bbff1b_1003
ca-certificates=2023.01.10=haa95532_0
certifi=2022.12.7=py38haa95532_0
cffi=1.15.1=py38h2bbff1b_3
charset-normalizer=2.0.4=pyhd3eb1b0_0
colorama=0.4.6=py38haa95532_0
comm=0.1.2=py38haa95532_0
contourpy=1.0.7=pypi_0
cryptography=39.0.1=py38h21b164f_0
cuda=11.7.1=0
cuda-cccl=11.7.91=0
cuda-command-line-tools=11.7.1=0
cuda-compiler=11.7.1=0
cuda-cudart=11.7.99=0
cuda-cudart-dev=11.7.99=0
cuda-cuobjdump=11.7.91=0
cuda-cupti=11.7.101=0
cuda-cuxxfilt=11.7.91=0
cuda-demo-suite=12.1.55=0
cuda-documentation=12.1.55=0
cuda-libraries=11.7.1=0
cuda-libraries-dev=11.7.1=0
cuda-memcheck=11.8.86=0
cuda-nsight-compute=12.1.0=0
cuda-nvcc=11.7.99=0
cuda-nvdisasm=12.1.55=0
cuda-nvml-dev=11.7.91=0
cuda-nvprof=12.1.55=0
cuda-nvprune=11.7.91=0
cuda-nvrtc=11.7.99=0
cuda-nvrtc-dev=11.7.99=0
cuda-nvtx=11.7.91=0
cuda-nvvp=12.1.55=0
cuda-runtime=11.7.1=0
cuda-sanitizer-api=12.1.55=0
cuda-toolkit=11.7.1=0
cuda-tools=11.7.1=0
cuda-visual-tools=11.7.1=0
cudatoolkit=11.3.1=h59b6b97_2
cycler=0.11.0=pypi_0
cython=0.29.33=pypi_0
debugpy=1.5.1=py38hd77b12b_0
decorator=4.4.2=pypi_0
defusedxml=0.7.1=pyhd3eb1b0_0
entrypoints=0.4=py38haa95532_0
executing=0.8.3=pyhd3eb1b0_0
flit-core=3.6.0=pyhd3eb1b0_0
fonttools=4.39.0=pypi_0
freetype=2.12.1=ha860e81_0
giflib=5.2.1=h8cc25b3_3
idna=3.4=py38haa95532_0
importlib_resources=5.2.0=pyhd3eb1b0_1
intel-openmp=2021.4.0=haa95532_3556
ipykernel=6.19.2=py38hd4e2768_0
ipython=8.10.0=py38haa95532_0
ipython_genutils=0.2.0=pyhd3eb1b0_1
jedi=0.18.1=py38haa95532_1
jinja2=3.1.2=py38haa95532_0
joblib=1.2.0=pypi_0
jpeg=9e=h2bbff1b_0
jsonschema=4.17.3=py38haa95532_0
jupyter_client=7.4.9=py38haa95532_0
jupyter_core=5.2.0=py38haa95532_0
jupyter_server=1.23.4=py38haa95532_0
jupyterlab_pygments=0.1.2=py_0
kiwisolver=1.4.4=pypi_0
lerc=3.0=hd77b12b_0
libcublas=11.10.3.66=0
libcublas-dev=11.10.3.66=0
libcufft=10.7.2.124=0
libcufft-dev=10.7.2.124=0
libcurand=10.3.2.56=0
libcurand-dev=10.3.2.56=0
libcusolver=11.4.0.1=0
libcusolver-dev=11.4.0.1=0
libcusparse=11.7.4.91=0
libcusparse-dev=11.7.4.91=0
libdeflate=1.17=h2bbff1b_0
libffi=3.4.2=hd77b12b_6
libiconv=1.16=h2bbff1b_2
libnpp=11.7.4.75=0
libnpp-dev=11.7.4.75=0
libnvjpeg=11.8.0.2=0
libnvjpeg-dev=11.8.0.2=0
libpng=1.6.37=h2a8f88b_0
libsodium=1.0.18=h62dcd97_0
libtiff=4.5.0=h6c2663c_2
libuv=1.44.2=h2bbff1b_0
libwebp=1.2.4=hbc33d0d_1
libwebp-base=1.2.4=h2bbff1b_1
libxml2=2.9.14=h0ad7f3c_0
libxslt=1.1.35=h2bbff1b_0
lxml=4.9.1=py38h1985fb9_0
lz4-c=1.9.4=h2bbff1b_0
markupsafe=2.1.1=py38h2bbff1b_0
matplotlib=3.7.1=pypi_0
matplotlib-inline=0.1.6=py38haa95532_0
mistune=0.8.4=py38he774522_1000
mkl=2021.4.0=haa95532_640
mkl-service=2.4.0=py38h2bbff1b_0
mkl_fft=1.3.1=py38h277e83a_0
mkl_random=1.2.2=py38hf11a4ad_0
nbclassic=0.5.2=py38haa95532_0
nbclient=0.5.13=py38haa95532_0
nbconvert=6.5.4=py38haa95532_0
nbformat=5.7.0=py38haa95532_0
nest-asyncio=1.5.6=py38haa95532_0
networkx=3.0=pypi_0
notebook=6.5.2=py38haa95532_0
notebook-shim=0.2.2=py38haa95532_0
nsight-compute=2023.1.0.15=0
numpy=1.23.5=py38h3b20f71_0
numpy-base=1.23.5=py38h4da318b_0
openssl=1.1.1t=h2bbff1b_0
packaging=22.0=py38haa95532_0
pandas=1.3.5=pypi_0
pandocfilters=1.5.0=pyhd3eb1b0_0
parso=0.8.3=pyhd3eb1b0_0
pickleshare=0.7.5=pyhd3eb1b0_1003
pillow=9.4.0=py38hd77b12b_0
pip=22.3.1=py38haa95532_0
pkgutil-resolve-name=1.3.10=py38haa95532_0
platformdirs=2.5.2=py38haa95532_0
prometheus_client=0.14.1=py38haa95532_0
prompt-toolkit=3.0.36=py38haa95532_0
psutil=5.9.0=py38h2bbff1b_0
pure_eval=0.2.2=pyhd3eb1b0_0
pycparser=2.21=pyhd3eb1b0_0
pygments=2.11.2=pyhd3eb1b0_0
pyopenssl=23.0.0=py38haa95532_0
pyparsing=3.0.9=pypi_0
pyrsistent=0.18.0=py38h196d8e1_0
pysocks=1.7.1=py38haa95532_0
python=3.8.16=h6244533_2
python-dateutil=2.8.2=pyhd3eb1b0_0
python-fastjsonschema=2.16.2=py38haa95532_0
pytorch=1.13.1=py3.8_cuda11.7_cudnn8_0
pytorch-cuda=11.7=h67b0de4_1
pytorch-mutex=1.0=cuda
pytz=2022.7.1=pypi_0
pywin32=305=py38h2bbff1b_0
pywinpty=2.0.2=py38h5da7b33_0
pyzmq=23.2.0=py38hd77b12b_0
requests=2.28.1=py38haa95532_0
scikit-learn=1.2.1=pypi_0
scipy=1.10.1=pypi_0
send2trash=1.8.0=pyhd3eb1b0_1
setuptools=65.6.3=py38haa95532_0
six=1.16.0=pyhd3eb1b0_1
sniffio=1.2.0=py38haa95532_1
soupsieve=2.3.2.post1=py38haa95532_0
sqlite=3.40.1=h2bbff1b_0
stack_data=0.2.0=pyhd3eb1b0_0
terminado=0.17.1=py38haa95532_0
threadpoolctl=3.1.0=pypi_0
tinycss2=1.2.1=py38haa95532_0
tk=8.6.12=h2bbff1b_0
torch-cluster=1.6.0+pt113cu117=pypi_0
torch-geometric=2.2.0=pypi_0
torch-geometric-temporal=0.54.0=pypi_0
torch-scatter=2.1.0+pt113cu117=pypi_0
torch-sparse=0.6.16+pt113cu117=pypi_0
torch-spline-conv=1.2.1+pt113cu117=pypi_0
torchaudio=0.13.1=pypi_0
torchvision=0.14.1=pypi_0
tornado=6.2=py38h2bbff1b_0
tqdm=4.64.1=pypi_0
traitlets=5.7.1=py38haa95532_0
typing-extensions=4.4.0=py38haa95532_0
typing_extensions=4.4.0=py38haa95532_0
urllib3=1.26.14=py38haa95532_0
vc=14.2=h21ff451_1
vs2015_runtime=14.27.29016=h5e58377_2
wcwidth=0.2.5=pyhd3eb1b0_0
webencodings=0.5.1=py38_1
websocket-client=0.58.0=py38haa95532_4
wheel=0.38.4=py38haa95532_0
win_inet_pton=1.1.0=py38haa95532_0
wincertstore=0.2=py38haa95532_2
winpty=0.4.3=4
xz=5.2.10=h8cc25b3_1
zeromq=4.3.4=hd77b12b_0
zipp=3.11.0=py38haa95532_0
zlib=1.2.13=h8cc25b3_0
zstd=1.5.2=h19a0ad4_0