# 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
autopep8=2.3.1=pypi_0
basedpyright=1.16.0=pypi_0
black=24.8.0=pypi_0
blas=1.0=mkl
bottleneck=1.3.7=py312ha883a20_0
brotli=1.0.9=h5eee18b_8
brotli-bin=1.0.9=h5eee18b_8
brotli-python=1.0.9=py312h6a678d5_8
bzip2=1.0.8=h5eee18b_6
ca-certificates=2024.9.24=h06a4308_0
certifi=2024.8.30=py312h06a4308_0
charset-normalizer=3.3.2=pyhd3eb1b0_0
click=8.1.7=pypi_0
contourpy=1.2.0=py312hdb19cb5_0
cuda-cudart=12.4.127=0
cuda-cupti=12.4.127=0
cuda-libraries=12.4.0=0
cuda-nvrtc=12.4.127=0
cuda-nvtx=12.4.127=0
cuda-opencl=12.4.127=0
cuda-runtime=12.4.0=0
cudatoolkit=11.5.1=hcf5317a_9
cycler=0.11.0=pyhd3eb1b0_0
cyrus-sasl=2.1.28=h52b45da_1
dbus=1.13.18=hb2f20db_0
et_xmlfile=1.1.0=py312h06a4308_1
expat=2.6.2=h6a678d5_0
ffmpeg=4.3=hf484d3e_0
filelock=3.13.1=py312h06a4308_0
fontconfig=2.14.1=h55d465d_3
fonttools=4.51.0=py312h5eee18b_0
freetype=2.12.1=h4a9f257_0
fsspec=2024.6.1=pypi_0
glib=2.78.4=h6a678d5_0
glib-tools=2.78.4=h6a678d5_0
gmp=6.2.1=h295c915_3
gnutls=3.6.15=he1e5248_0
greenlet=3.0.3=pypi_0
gst-plugins-base=1.14.1=h6a678d5_1
gstreamer=1.14.1=h5eee18b_1
icu=73.1=h6a678d5_0
idna=3.7=py312h06a4308_0
intel-openmp=2023.1.0=hdb19cb5_46306
jinja2=3.1.4=py312h06a4308_0
joblib=1.4.2=py312h06a4308_0
jpeg=9e=h5eee18b_3
kiwisolver=1.4.4=py312h6a678d5_0
krb5=1.20.1=h143b758_1
lame=3.100=h7b6447c_0
lcms2=2.12=h3be6417_0
ld_impl_linux-64=2.38=h1181459_1
lerc=3.0=h295c915_0
libbrotlicommon=1.0.9=h5eee18b_8
libbrotlidec=1.0.9=h5eee18b_8
libbrotlienc=1.0.9=h5eee18b_8
libclang=14.0.6=default_hc6dbbc7_1
libclang13=14.0.6=default_he11475f_1
libcublas=12.4.2.65=0
libcufft=11.2.0.44=0
libcufile=1.9.1.3=0
libcups=2.4.2=h2d74bed_1
libcurand=10.3.5.147=0
libcusolver=11.6.0.99=0
libcusparse=12.3.0.142=0
libdeflate=1.17=h5eee18b_1
libedit=3.1.20230828=h5eee18b_0
libffi=3.4.4=h6a678d5_1
libgcc-ng=11.2.0=h1234567_1
libgfortran-ng=11.2.0=h00389a5_1
libgfortran5=11.2.0=h1234567_1
libglib=2.78.4=hdc74915_0
libgomp=11.2.0=h1234567_1
libiconv=1.16=h5eee18b_3
libidn2=2.3.4=h5eee18b_0
libjpeg-turbo=2.0.0=h9bf148f_0
libllvm14=14.0.6=hdb19cb5_3
libnpp=12.2.5.2=0
libnvfatbin=12.4.127=0
libnvjitlink=12.4.99=0
libnvjpeg=12.3.1.89=0
libpng=1.6.39=h5eee18b_0
libpq=12.17=hdbd6064_0
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-base=1.3.2=h5eee18b_0
libxcb=1.15=h7f8727e_0
libxkbcommon=1.0.1=h097e994_2
libxml2=2.13.1=hfdd30dd_2
llvm-openmp=14.0.6=h9e868ea_0
lz4-c=1.9.4=h6a678d5_1
markupsafe=2.1.3=py312h5eee18b_0
matplotlib=3.8.4=py312h06a4308_0
matplotlib-base=3.8.4=py312h526ad5a_0
mkl=2023.1.0=h213fc3f_46344
mkl-service=2.4.0=py312h5eee18b_1
mkl_fft=1.3.8=py312h5eee18b_0
mkl_random=1.2.4=py312hdb19cb5_0
mpmath=1.3.0=py312h06a4308_0
msgpack=1.0.8=pypi_0
mypy-extensions=1.0.0=pypi_0
mysql=5.7.24=h721c034_2
ncurses=6.4=h6a678d5_0
nettle=3.7.3=hbbd107a_1
networkx=3.3=py312h06a4308_0
nodejs-wheel-binaries=20.16.0=pypi_0
numexpr=2.8.7=py312hf827012_0
numpy=1.26.4=py312hc5e2394_0
numpy-base=1.26.4=py312h0da6c21_0
openh264=2.1.1=h4ff587b_0
openjpeg=2.5.2=he7f1fd0_0
openpyxl=3.1.5=py312h5eee18b_0
openssl=3.0.15=h5eee18b_0
packaging=24.1=py312h06a4308_0
pandas=2.2.2=py312h526ad5a_0
pathspec=0.12.1=pypi_0
pcre2=10.42=hebb0a14_1
pillow=10.4.0=py312h5eee18b_0
pip=24.2=py312h06a4308_0
platformdirs=4.2.2=pypi_0
ply=3.11=py312h06a4308_1
pybind11-abi=5=hd3eb1b0_0
pycodestyle=2.12.1=pypi_0
pynvim=0.5.0=pypi_0
pyopengl=3.1.1a1=py312h06a4308_0
pyparsing=3.0.9=py312h06a4308_0
pyqt=5.15.10=py312h6a678d5_0
pyqt5-sip=12.13.0=py312h5eee18b_0
pysocks=1.7.1=py312h06a4308_0
python=3.12.4=h5148396_1
python-dateutil=2.9.0post0=py312h06a4308_2
python-graphviz=0.20.3=pypi_0
python-tzdata=2023.3=pyhd3eb1b0_0
pytorch=2.4.0=py3.12_cuda12.4_cudnn9.1.0_0
pytorch-cuda=12.4=hc786d27_6
pytorch-mutex=1.0=cuda
pytz=2024.1=py312h06a4308_0
pyyaml=6.0.1=py312h5eee18b_0
qt-main=5.15.2=h53bd1ea_10
readline=8.2=h5eee18b_0
requests=2.32.3=py312h06a4308_0
scikit-learn=1.5.1=py312h526ad5a_0
scipy=1.13.1=py312hc5e2394_0
seaborn=0.13.2=py312h06a4308_0
setuptools=72.1.0=py312h06a4308_0
sip=6.7.12=py312h6a678d5_0
six=1.16.0=pyhd3eb1b0_1
sqlite=3.45.3=h5eee18b_0
sympy=1.12=py312h06a4308_0
tbb=2021.8.0=hdb19cb5_0
threadpoolctl=3.5.0=py312he106c6f_0
tk=8.6.14=h39e8969_0
torchaudio=2.4.0=py312_cu124
torchtriton=3.0.0=py312
torchvision=0.19.0=py312_cu124
tornado=6.4.1=py312h5eee18b_0
tqdm=4.66.5=py312he106c6f_0
typing_extensions=4.11.0=py312h06a4308_0
tzdata=2024a=h04d1e81_0
unicodedata2=15.1.0=py312h5eee18b_0
urllib3=2.2.2=py312h06a4308_0
wheel=0.43.0=py312h06a4308_0
xlrd=2.0.1=pyhd3eb1b0_1
xz=5.4.6=h5eee18b_1
yaml=0.2.5=h7b6447c_0
zlib=1.2.13=h5eee18b_1
zstd=1.5.5=hc292b87_2