175 lines
4.7 KiB
Plaintext
175 lines
4.7 KiB
Plaintext
# This file may be used to create an environment using:
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# $ conda create --name <env> --file <this file>
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# platform: linux-64
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_libgcc_mutex=0.1=main
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_openmp_mutex=5.1=1_gnu
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autopep8=2.3.1=pypi_0
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basedpyright=1.16.0=pypi_0
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black=24.8.0=pypi_0
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blas=1.0=mkl
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bottleneck=1.3.7=py312ha883a20_0
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brotli=1.0.9=h5eee18b_8
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brotli-bin=1.0.9=h5eee18b_8
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brotli-python=1.0.9=py312h6a678d5_8
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bzip2=1.0.8=h5eee18b_6
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ca-certificates=2024.9.24=h06a4308_0
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certifi=2024.8.30=py312h06a4308_0
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charset-normalizer=3.3.2=pyhd3eb1b0_0
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click=8.1.7=pypi_0
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contourpy=1.2.0=py312hdb19cb5_0
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cuda-cudart=12.4.127=0
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cuda-cupti=12.4.127=0
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cuda-libraries=12.4.0=0
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cuda-nvrtc=12.4.127=0
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cuda-nvtx=12.4.127=0
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cuda-opencl=12.4.127=0
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cuda-runtime=12.4.0=0
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cudatoolkit=11.5.1=hcf5317a_9
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cycler=0.11.0=pyhd3eb1b0_0
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cyrus-sasl=2.1.28=h52b45da_1
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dbus=1.13.18=hb2f20db_0
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et_xmlfile=1.1.0=py312h06a4308_1
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expat=2.6.2=h6a678d5_0
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ffmpeg=4.3=hf484d3e_0
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filelock=3.13.1=py312h06a4308_0
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fontconfig=2.14.1=h55d465d_3
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fonttools=4.51.0=py312h5eee18b_0
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freetype=2.12.1=h4a9f257_0
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fsspec=2024.6.1=pypi_0
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glib=2.78.4=h6a678d5_0
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glib-tools=2.78.4=h6a678d5_0
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gmp=6.2.1=h295c915_3
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gnutls=3.6.15=he1e5248_0
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greenlet=3.0.3=pypi_0
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gst-plugins-base=1.14.1=h6a678d5_1
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gstreamer=1.14.1=h5eee18b_1
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icu=73.1=h6a678d5_0
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idna=3.7=py312h06a4308_0
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intel-openmp=2023.1.0=hdb19cb5_46306
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jinja2=3.1.4=py312h06a4308_0
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joblib=1.4.2=py312h06a4308_0
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jpeg=9e=h5eee18b_3
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kiwisolver=1.4.4=py312h6a678d5_0
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krb5=1.20.1=h143b758_1
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lame=3.100=h7b6447c_0
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lcms2=2.12=h3be6417_0
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ld_impl_linux-64=2.38=h1181459_1
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lerc=3.0=h295c915_0
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libbrotlicommon=1.0.9=h5eee18b_8
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libbrotlidec=1.0.9=h5eee18b_8
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libbrotlienc=1.0.9=h5eee18b_8
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libclang=14.0.6=default_hc6dbbc7_1
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libclang13=14.0.6=default_he11475f_1
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libcublas=12.4.2.65=0
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libcufft=11.2.0.44=0
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libcufile=1.9.1.3=0
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libcups=2.4.2=h2d74bed_1
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libcurand=10.3.5.147=0
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libcusolver=11.6.0.99=0
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libcusparse=12.3.0.142=0
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libdeflate=1.17=h5eee18b_1
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libedit=3.1.20230828=h5eee18b_0
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libffi=3.4.4=h6a678d5_1
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libgcc-ng=11.2.0=h1234567_1
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libgfortran-ng=11.2.0=h00389a5_1
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libgfortran5=11.2.0=h1234567_1
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libglib=2.78.4=hdc74915_0
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libgomp=11.2.0=h1234567_1
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libiconv=1.16=h5eee18b_3
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libidn2=2.3.4=h5eee18b_0
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libjpeg-turbo=2.0.0=h9bf148f_0
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libllvm14=14.0.6=hdb19cb5_3
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libnpp=12.2.5.2=0
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libnvfatbin=12.4.127=0
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libnvjitlink=12.4.99=0
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libnvjpeg=12.3.1.89=0
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libpng=1.6.39=h5eee18b_0
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libpq=12.17=hdbd6064_0
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libstdcxx-ng=11.2.0=h1234567_1
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libtasn1=4.19.0=h5eee18b_0
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libtiff=4.5.1=h6a678d5_0
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libunistring=0.9.10=h27cfd23_0
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libuuid=1.41.5=h5eee18b_0
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libwebp-base=1.3.2=h5eee18b_0
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libxcb=1.15=h7f8727e_0
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libxkbcommon=1.0.1=h097e994_2
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libxml2=2.13.1=hfdd30dd_2
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llvm-openmp=14.0.6=h9e868ea_0
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lz4-c=1.9.4=h6a678d5_1
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markupsafe=2.1.3=py312h5eee18b_0
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matplotlib=3.8.4=py312h06a4308_0
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matplotlib-base=3.8.4=py312h526ad5a_0
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mkl=2023.1.0=h213fc3f_46344
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mkl-service=2.4.0=py312h5eee18b_1
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mkl_fft=1.3.8=py312h5eee18b_0
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mkl_random=1.2.4=py312hdb19cb5_0
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mpmath=1.3.0=py312h06a4308_0
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msgpack=1.0.8=pypi_0
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mypy-extensions=1.0.0=pypi_0
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mysql=5.7.24=h721c034_2
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ncurses=6.4=h6a678d5_0
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nettle=3.7.3=hbbd107a_1
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networkx=3.3=py312h06a4308_0
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nodejs-wheel-binaries=20.16.0=pypi_0
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numexpr=2.8.7=py312hf827012_0
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numpy=1.26.4=py312hc5e2394_0
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numpy-base=1.26.4=py312h0da6c21_0
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openh264=2.1.1=h4ff587b_0
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openjpeg=2.5.2=he7f1fd0_0
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openpyxl=3.1.5=py312h5eee18b_0
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openssl=3.0.15=h5eee18b_0
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packaging=24.1=py312h06a4308_0
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pandas=2.2.2=py312h526ad5a_0
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pathspec=0.12.1=pypi_0
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pcre2=10.42=hebb0a14_1
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pillow=10.4.0=py312h5eee18b_0
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pip=24.2=py312h06a4308_0
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platformdirs=4.2.2=pypi_0
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ply=3.11=py312h06a4308_1
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pybind11-abi=5=hd3eb1b0_0
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pycodestyle=2.12.1=pypi_0
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pynvim=0.5.0=pypi_0
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pyopengl=3.1.1a1=py312h06a4308_0
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pyparsing=3.0.9=py312h06a4308_0
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pyqt=5.15.10=py312h6a678d5_0
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pyqt5-sip=12.13.0=py312h5eee18b_0
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pysocks=1.7.1=py312h06a4308_0
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python=3.12.4=h5148396_1
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python-dateutil=2.9.0post0=py312h06a4308_2
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python-graphviz=0.20.3=pypi_0
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python-tzdata=2023.3=pyhd3eb1b0_0
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pytorch=2.4.0=py3.12_cuda12.4_cudnn9.1.0_0
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pytorch-cuda=12.4=hc786d27_6
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pytorch-mutex=1.0=cuda
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pytz=2024.1=py312h06a4308_0
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pyyaml=6.0.1=py312h5eee18b_0
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qt-main=5.15.2=h53bd1ea_10
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readline=8.2=h5eee18b_0
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requests=2.32.3=py312h06a4308_0
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scikit-learn=1.5.1=py312h526ad5a_0
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scipy=1.13.1=py312hc5e2394_0
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seaborn=0.13.2=py312h06a4308_0
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setuptools=72.1.0=py312h06a4308_0
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sip=6.7.12=py312h6a678d5_0
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six=1.16.0=pyhd3eb1b0_1
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sqlite=3.45.3=h5eee18b_0
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sympy=1.12=py312h06a4308_0
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tbb=2021.8.0=hdb19cb5_0
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threadpoolctl=3.5.0=py312he106c6f_0
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tk=8.6.14=h39e8969_0
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torchaudio=2.4.0=py312_cu124
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torchtriton=3.0.0=py312
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torchvision=0.19.0=py312_cu124
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tornado=6.4.1=py312h5eee18b_0
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tqdm=4.66.5=py312he106c6f_0
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typing_extensions=4.11.0=py312h06a4308_0
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tzdata=2024a=h04d1e81_0
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unicodedata2=15.1.0=py312h5eee18b_0
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urllib3=2.2.2=py312h06a4308_0
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wheel=0.43.0=py312h06a4308_0
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xlrd=2.0.1=pyhd3eb1b0_1
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xz=5.4.6=h5eee18b_1
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yaml=0.2.5=h7b6447c_0
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zlib=1.2.13=h5eee18b_1
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zstd=1.5.5=hc292b87_2
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