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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: linux-64
_libgcc_mutex=0.1=main
_openmp_mutex=5.1=1_gnu
anarci=2021.02.04=pyhdfd78af_0
appdirs=1.4.4=pyhd3eb1b0_0
biopython=1.78=py38h7f8727e_0
blas=1.0=mkl
bottleneck=1.3.5=py38h7deecbd_0
brotlipy=0.7.0=py38h27cfd23_1003
bzip2=1.0.8=h7b6447c_0
ca-certificates=2023.05.30=h06a4308_0
certifi=2023.7.22=py38h06a4308_0
cffi=1.15.1=py38h5eee18b_3
charset-normalizer=2.0.4=pyhd3eb1b0_0
contourpy=1.1.0=pypi_0
cryptography=41.0.2=py38h22a60cf_0
cuda-cudart=11.7.99=0
cuda-cupti=11.7.101=0
cuda-libraries=11.7.1=0
cuda-nvrtc=11.7.99=0
cuda-nvtx=11.7.91=0
cuda-runtime=11.7.1=0
cycler=0.11.0=pypi_0
ffmpeg=4.3=hf484d3e_0
filelock=3.9.0=py38h06a4308_0
fonttools=4.41.1=pypi_0
freetype=2.12.1=h4a9f257_0
giflib=5.2.1=h5eee18b_3
gmp=6.2.1=h295c915_3
gmpy2=2.1.2=py38heeb90bb_0
gnutls=3.6.15=he1e5248_0
hmmer=3.3.2=h87f3376_2
idna=3.4=py38h06a4308_0
importlib-resources=6.0.0=pypi_0
intel-openmp=2023.1.0=hdb19cb5_46305
jinja2=3.1.2=py38h06a4308_0
joblib=1.2.0=py38h06a4308_0
jpeg=9e=h5eee18b_1
kiwisolver=1.4.4=pypi_0
lame=3.100=h7b6447c_0
lcms2=2.12=h3be6417_0
ld_impl_linux-64=2.38=h1181459_1
lerc=3.0=h295c915_0
libcublas=11.10.3.66=0
libcufft=10.7.2.124=h4fbf590_0
libcufile=1.7.0.149=0
libcurand=10.3.3.53=0
libcusolver=11.4.0.1=0
libcusparse=11.7.4.91=0
libdeflate=1.17=h5eee18b_0
libffi=3.4.4=h6a678d5_0
libgcc-ng=11.2.0=h1234567_1
libgfortran-ng=11.2.0=h00389a5_1
libgfortran5=11.2.0=h1234567_1
libgomp=11.2.0=h1234567_1
libiconv=1.16=h7f8727e_2
libidn2=2.3.4=h5eee18b_0
libnpp=11.7.4.75=0
libnvjpeg=11.8.0.2=0
libpng=1.6.39=h5eee18b_0
libstdcxx-ng=11.2.0=h1234567_1
libtasn1=4.19.0=h5eee18b_0
libtiff=4.5.0=h6a678d5_2
libunistring=0.9.10=h27cfd23_0
libwebp=1.2.4=h11a3e52_1
libwebp-base=1.2.4=h5eee18b_1
lz4-c=1.9.4=h6a678d5_0
markupsafe=2.1.1=py38h7f8727e_0
matplotlib=3.7.2=pypi_0
mkl=2023.1.0=h6d00ec8_46342
mkl-service=2.4.0=py38h5eee18b_1
mkl_fft=1.3.6=py38h417a72b_1
mkl_random=1.2.2=py38h417a72b_1
mpc=1.1.0=h10f8cd9_1
mpfr=4.0.2=hb69a4c5_1
mpmath=1.2.1=py38h06a4308_0
ncurses=6.4=h6a678d5_0
nettle=3.7.3=hbbd107a_1
networkx=2.8.4=py38h06a4308_1
numexpr=2.8.4=py38hc78ab66_1
numpy=1.24.3=py38hf6e8229_1
numpy-base=1.24.3=py38h060ed82_1
openh264=2.1.1=h4ff587b_0
openssl=3.0.9=h7f8727e_0
packaging=23.0=py38h06a4308_0
pandas=1.5.3=py38h417a72b_0
pillow=9.4.0=py38h6a678d5_0
pip=23.2.1=py38h06a4308_0
pooch=1.4.0=pyhd3eb1b0_0
pycparser=2.21=pyhd3eb1b0_0
pyopenssl=23.2.0=py38h06a4308_0
pyparsing=3.0.9=pypi_0
pysocks=1.7.1=py38h06a4308_0
python=3.8.16=h955ad1f_4
python-dateutil=2.8.2=pyhd3eb1b0_0
pytorch=2.0.1=py3.8_cuda11.7_cudnn8.5.0_0
pytorch-cuda=11.7=h778d358_5
pytorch-mutex=1.0=cuda
pytz=2022.7=py38h06a4308_0
readline=8.2=h5eee18b_0
requests=2.29.0=py38h06a4308_0
scikit-learn=1.2.2=py38h6a678d5_1
scipy=1.10.1=py38hf6e8229_1
setuptools=68.0.0=py38h06a4308_0
six=1.16.0=pyhd3eb1b0_1
sqlite=3.41.2=h5eee18b_0
sympy=1.11.1=py38h06a4308_0
tbb=2021.8.0=hdb19cb5_0
threadpoolctl=2.2.0=pyh0d69192_0
tk=8.6.12=h1ccaba5_0
torchaudio=2.0.2=py38_cu117
torchtriton=2.0.0=py38
torchvision=0.15.2=py38_cu117
tqdm=4.65.0=pypi_0
typing_extensions=4.7.1=py38h06a4308_0
urllib3=1.26.16=py38h06a4308_0
wheel=0.38.4=py38h06a4308_0
xz=5.4.2=h5eee18b_0
zipp=3.16.2=pypi_0
zlib=1.2.13=h5eee18b_0
zstd=1.5.5=hc292b87_0