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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=conda_forge _openmp_mutex=4.5=2_gnu _py-xgboost-mutex=2.0=cpu_0 absl-py=1.3.0=py310h06a4308_0 aiohttp=3.8.1=py310h7f8727e_1 aiosignal=1.2.0=pyhd3eb1b0_0 anyio=3.6.2=pyhd8ed1ab_0 argon2-cffi=21.3.0=pyhd8ed1ab_0 argon2-cffi-bindings=21.2.0=py310h5764c6d_3 asttokens=2.0.5=pyhd3eb1b0_0 async-timeout=4.0.2=py310h06a4308_0 attrs=21.4.0=pyhd3eb1b0_0 autograd=1.5=pyhd8ed1ab_0 autopep8=1.6.0=pyhd3eb1b0_1 backcall=0.2.0=pyhd3eb1b0_0 beautifulsoup4=4.11.2=pyha770c72_0 blas=1.0=mkl bleach=6.0.0=pyhd8ed1ab_0 blinker=1.4=py310h06a4308_0 blosc=1.21.1=h83bc5f7_3 boost-cpp=1.74.0=h75c5d50_8 bottleneck=1.3.5=py310ha9d4c09_0 branca=0.5.0=pyhd8ed1ab_0 brotli=1.0.9=h5eee18b_7 brotli-bin=1.0.9=h5eee18b_7 brotlipy=0.7.0=py310h7f8727e_1002 bzip2=1.0.8=h7b6447c_0 c-ares=1.18.1=h7f8727e_0 ca-certificates=2022.12.7=ha878542_0 cachetools=4.2.2=pyhd3eb1b0_0 cairo=1.16.0=h19f5f5c_2 certifi=2022.12.7=pyhd8ed1ab_0 cffi=1.15.1=py310h74dc2b5_0 cfitsio=4.1.0=hd9d235c_0 charset-normalizer=2.0.4=pyhd3eb1b0_0 click=8.0.4=py310h06a4308_0 click-plugins=1.1.1=pyhd3eb1b0_0 cligj=0.7.2=pyhd3eb1b0_0 cryptography=38.0.1=py310h9ce1e76_0 cudatoolkit=11.6.0=hecad31d_10 curl=7.84.0=h5eee18b_0 cycler=0.11.0=pyhd3eb1b0_0 dataclasses=0.8=pyh6d0b6a4_7 debugpy=1.5.1=py310h295c915_0 decorator=5.1.1=pyhd3eb1b0_0 defusedxml=0.7.1=pyhd8ed1ab_0 entrypoints=0.4=py310h06a4308_0 executing=0.8.3=pyhd3eb1b0_0 expat=2.4.9=h6a678d5_0 ffmpeg=4.2.2=h20bf706_0 fftw=3.3.9=h27cfd23_1 fiona=1.8.21=py310h60a68a4_2 flit-core=3.8.0=pyhd8ed1ab_0 folium=0.12.1.post1=pyhd8ed1ab_1 font-ttf-dejavu-sans-mono=2.37=hd3eb1b0_0 font-ttf-inconsolata=2.001=hcb22688_0 font-ttf-source-code-pro=2.030=hd3eb1b0_0 font-ttf-ubuntu=0.83=h8b1ccd4_0 fontconfig=2.14.0=h8e229c2_0 fonts-anaconda=1=h8fa9717_0 fonts-conda-ecosystem=1=hd3eb1b0_0 fonttools=4.25.0=pyhd3eb1b0_0 freetype=2.11.0=h70c0345_0 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libpng=1.6.37=hbc83047_0 libpq=14.5=hd77ab85_0 libprotobuf=3.20.1=h4ff587b_0 libpysal=4.1.1=py_0 librttopo=1.1.0=hf730bdb_11 libsodium=1.0.18=h7b6447c_0 libspatialindex=1.9.3=h2531618_0 libspatialite=5.0.1=h38b5f51_18 libsqlite=3.39.3=h753d276_0 libssh2=1.10.0=h8f2d780_0 libstdcxx-ng=12.1.0=ha89aaad_16 libtasn1=4.16.0=h27cfd23_0 libtiff=4.4.0=hecacb30_0 libunistring=0.9.10=h27cfd23_0 libuuid=2.32.1=h7f98852_1000 libvpx=1.7.0=h439df22_0 libwebp=1.2.4=h11a3e52_0 libwebp-base=1.2.4=h5eee18b_0 libxcb=1.15=h7f8727e_0 libxgboost=1.7.1=cpu_ha3b9936_0 libxml2=2.9.14=h22db469_4 libzip=1.8.0=h5cef20c_0 libzlib=1.2.12=h166bdaf_2 littleutils=0.2.2=py_0 llvm-openmp=8.0.1=hc9558a2_0 lz4-c=1.9.3=h295c915_1 mapclassify=2.4.3=pyhd3eb1b0_0 markdown=3.3.4=py310h06a4308_0 markupsafe=2.1.1=py310h7f8727e_0 matplotlib-base=3.5.2=py310hf590b9c_0 matplotlib-inline=0.1.6=py310h06a4308_0 mgwr=2.1.2=py_0 mistune=2.0.5=pyhd8ed1ab_0 mkl=2021.4.0=h06a4308_640 mkl-service=2.4.0=py310h7f8727e_0 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pytorch=1.12.1=py3.10_cuda11.6_cudnn8.3.2_0 pytorch-mutex=1.0=cuda pytz=2022.1=py310h06a4308_0 pyzmq=23.2.0=py310h6a678d5_0 readline=8.1.2=h7f8727e_1 requests=2.28.1=py310h06a4308_0 requests-oauthlib=1.3.0=py_0 rsa=4.7.2=pyhd3eb1b0_1 rtree=0.9.7=py310h06a4308_1 scikit-learn=1.1.3=py310h6a678d5_0 scipy=1.9.3=py310hd5efca6_0 send2trash=1.8.0=pyhd8ed1ab_0 setuptools=63.4.1=py310h06a4308_0 shapely=1.8.4=py310h5e49deb_0 six=1.16.0=pyhd3eb1b0_1 snappy=1.1.9=h295c915_0 sniffio=1.3.0=pyhd8ed1ab_0 soupsieve=2.3.2.post1=pyhd8ed1ab_0 spglm=1.0.8=py_0 spreg=1.3.0=pyhd8ed1ab_0 sqlite=3.39.2=h5082296_0 stack_data=0.2.0=pyhd3eb1b0_0 tensorboard=2.10.1=pyhd8ed1ab_0 tensorboard-data-server=0.6.0=py310hca6d32c_0 tensorboard-plugin-wit=1.8.1=py310h06a4308_0 terminado=0.17.1=pyh41d4057_0 threadpoolctl=2.2.0=pyh0d69192_0 tiledb=2.9.5=h1e4a385_0 tinycss2=1.2.1=pyhd8ed1ab_0 tk=8.6.12=h1ccaba5_0 toml=0.10.2=pyhd3eb1b0_0 torch-cluster=1.6.0=pypi_0 torch-geometric=2.1.0.post1=pypi_0 torch-scatter=2.0.9=pypi_0 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