req.txt

# 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
asttokens=2.4.0=pyhd8ed1ab_0
backcall=0.2.0=pyh9f0ad1d_0
backports=1.0=pyhd8ed1ab_3
backports.functools_lru_cache=1.6.5=pyhd8ed1ab_0
blas=1.0=mkl
brotlipy=0.7.0=py311h5eee18b_1002
bzip2=1.0.8=h7b6447c_0
ca-certificates=2023.7.22=hbcca054_0
certifi=2023.7.22=pyhd8ed1ab_0
cffi=1.15.1=py311h5eee18b_3
charset-normalizer=2.0.4=pyhd3eb1b0_0
comm=0.1.4=pyhd8ed1ab_0
contourpy=1.1.1=pypi_0
cpuonly=2.0=0
cryptography=41.0.3=py311hdda0065_0
cycler=0.12.1=pypi_0
debugpy=1.6.7=py311h6a678d5_0
decorator=5.1.1=pyhd8ed1ab_0
exceptiongroup=1.1.3=pyhd8ed1ab_0
executing=1.2.0=pyhd8ed1ab_0
ffmpeg=4.3=hf484d3e_0
filelock=3.9.0=py311h06a4308_0
fonttools=4.43.1=pypi_0
freetype=2.12.1=h4a9f257_0
giflib=5.2.1=h5eee18b_3
gmp=6.2.1=h295c915_3
gmpy2=2.1.2=py311hc9b5ff0_0
gnutls=3.6.15=he1e5248_0
idna=3.4=py311h06a4308_0
importlib-metadata=6.8.0=pyha770c72_0
importlib_metadata=6.8.0=hd8ed1ab_0
intel-openmp=2023.1.0=hdb19cb5_46305
ipykernel=6.25.2=pyh2140261_0
ipython=8.15.0=pyh0d859eb_0
jedi=0.19.0=pyhd8ed1ab_0
jinja2=3.1.2=py311h06a4308_0
jpeg=9e=h5eee18b_1
jupyter_client=8.3.1=pyhd8ed1ab_0
jupyter_core=4.12.0=py311h38be061_0
kiwisolver=1.4.5=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
libdeflate=1.17=h5eee18b_0
libffi=3.4.4=h6a678d5_0
libgcc-ng=11.2.0=h1234567_1
libgomp=11.2.0=h1234567_1
libiconv=1.16=h7f8727e_2
libidn2=2.3.4=h5eee18b_0
libpng=1.6.39=h5eee18b_0
libsodium=1.0.18=h36c2ea0_1
libstdcxx-ng=11.2.0=h1234567_1
libtasn1=4.19.0=h5eee18b_0
libtiff=4.5.1=h6a678d5_0
libunistring=0.9.10=h27cfd23_0
libuuid=1.41.5=h5eee18b_0
libwebp=1.3.2=h11a3e52_0
libwebp-base=1.3.2=h5eee18b_0
lz4-c=1.9.4=h6a678d5_0
markupsafe=2.1.1=py311h5eee18b_0
matplotlib=3.8.0=pypi_0
matplotlib-inline=0.1.6=pyhd8ed1ab_0
mkl=2023.1.0=h213fc3f_46343
mkl-service=2.4.0=py311h5eee18b_1
mkl_fft=1.3.8=py311h5eee18b_0
mkl_random=1.2.4=py311hdb19cb5_0
mpc=1.1.0=h10f8cd9_1
mpfr=4.0.2=hb69a4c5_1
mpmath=1.3.0=py311h06a4308_0
ncurses=6.4=h6a678d5_0
nest-asyncio=1.5.6=pyhd8ed1ab_0
nettle=3.7.3=hbbd107a_1
networkx=3.1=py311h06a4308_0
numpy=1.25.2=py311h08b1b3b_0
numpy-base=1.25.2=py311hf175353_0
openh264=2.1.1=h4ff587b_0
openssl=3.0.11=h7f8727e_2
packaging=23.1=pyhd8ed1ab_0
parso=0.8.3=pyhd8ed1ab_0
pexpect=4.8.0=pyh1a96a4e_2
pickleshare=0.7.5=py_1003
pillow=9.4.0=py311h6a678d5_1
pip=23.2.1=py311h06a4308_0
prompt-toolkit=3.0.39=pyha770c72_0
prompt_toolkit=3.0.39=hd8ed1ab_0
psutil=5.9.0=py311h5eee18b_0
ptyprocess=0.7.0=pyhd3deb0d_0
pure_eval=0.2.2=pyhd8ed1ab_0
pycparser=2.21=pyhd3eb1b0_0
pygments=2.16.1=pyhd8ed1ab_0
pyopenssl=23.2.0=py311h06a4308_0
pyparsing=3.1.1=pypi_0
pysocks=1.7.1=py311h06a4308_0
python=3.11.5=h955ad1f_0
python-dateutil=2.8.2=pyhd8ed1ab_0
python_abi=3.11=2_cp311
pytorch=2.0.1=py3.11_cpu_0
pytorch-mutex=1.0=cpu
pyzmq=25.1.0=py311h6a678d5_0
readline=8.2=h5eee18b_0
regex=2023.10.3=pypi_0
requests=2.31.0=py311h06a4308_0
setuptools=68.0.0=py311h06a4308_0
six=1.16.0=pyh6c4a22f_0
sqlite=3.41.2=h5eee18b_0
stack_data=0.6.2=pyhd8ed1ab_0
sympy=1.11.1=py311h06a4308_0
tbb=2021.8.0=hdb19cb5_0
tiktoken=0.5.2=pypi_0
tk=8.6.12=h1ccaba5_0
torchaudio=2.0.2=py311_cpu
torchvision=0.15.2=py311_cpu
tornado=6.3.2=py311h5eee18b_0
tqdm=4.66.1=pypi_0
traitlets=5.10.0=pyhd8ed1ab_0
typing_extensions=4.7.1=py311h06a4308_0
tzdata=2023c=h04d1e81_0
urllib3=1.26.16=py311h06a4308_0
wcwidth=0.2.6=pyhd8ed1ab_0
wheel=0.38.4=py311h06a4308_0
xz=5.4.2=h5eee18b_0
zeromq=4.3.4=h9c3ff4c_1
zipp=3.17.0=pyhd8ed1ab_0
zlib=1.2.13=h5eee18b_0
zstd=1.5.5=hc292b87_0