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Add conda requirements file
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conda_requirements.txt

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# 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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# created-by: conda 24.11.1
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_libgcc_mutex=0.1=conda_forge
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_openmp_mutex=4.5=2_kmp_llvm
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asttokens=3.0.0=pyhd8ed1ab_1
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blas=1.0=mkl
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blosc=1.21.6=hef167b5_0
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bottleneck=1.4.2=py313hf0014fa_0
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bzip2=1.0.8=h5eee18b_6
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c-ares=1.34.4=hb9d3cd8_0
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ca-certificates=2025.1.31=hbcca054_0
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cached-property=1.5.2=hd8ed1ab_1
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cached_property=1.5.2=pyha770c72_1
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certifi=2025.1.31=py313h06a4308_0
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cftime=1.6.4=py313hf0014fa_0
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comm=0.2.2=pyhd8ed1ab_1
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contourpy=1.3.1=pypi_0
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cycler=0.12.1=pypi_0
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debugpy=1.8.12=py313h46c70d0_0
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decorator=5.1.1=pyhd8ed1ab_1
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exceptiongroup=1.2.2=pyhd8ed1ab_1
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executing=2.1.0=pyhd8ed1ab_1
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expat=2.6.4=h6a678d5_0
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fonttools=4.56.0=pypi_0
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h5netcdf=1.5.0=pyhd8ed1ab_0
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h5py=3.12.1=nompi_py313h8a9c7c3_103
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hdf4=4.2.15=h9772cbc_5
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hdf5=1.14.4=nompi_h2d575fe_105
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importlib-metadata=8.6.1=pyha770c72_0
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intel-openmp=2022.0.1=h06a4308_3633
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ipykernel=6.29.5=pyh3099207_0
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ipython=8.32.0=pyh907856f_0
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jedi=0.19.2=pyhd8ed1ab_1
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jpeg=9e=h5eee18b_3
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jupyter_client=8.6.3=pyhd8ed1ab_1
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jupyter_core=5.7.2=pyh31011fe_1
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kiwisolver=1.4.8=pypi_0
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krb5=1.21.3=h143b758_0
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ld_impl_linux-64=2.40=h12ee557_0
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libaec=1.1.3=h59595ed_0
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libcurl=8.11.1=h332b0f4_0
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libedit=3.1.20230828=h5eee18b_0
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libev=4.33=h7f8727e_1
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libexpat=2.6.4=h5888daf_0
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libffi=3.4.4=h6a678d5_1
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libgcc=14.2.0=h77fa898_1
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libgcc-ng=14.2.0=h69a702a_1
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libgfortran=14.2.0=h69a702a_1
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libgfortran-ng=14.2.0=h69a702a_1
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libgfortran5=14.2.0=hd5240d6_1
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libgomp=14.2.0=h77fa898_1
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libiconv=1.17=hd590300_2
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liblzma=5.6.4=hb9d3cd8_0
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libmpdec=4.0.0=h5eee18b_0
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libnetcdf=4.9.2=nompi_h5ddbaa4_116
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libnghttp2=1.64.0=h161d5f1_0
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libsodium=1.0.20=h4ab18f5_0
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libsqlite=3.48.0=hee588c1_1
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libssh2=1.11.1=hf672d98_0
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libstdcxx=14.2.0=hc0a3c3a_1
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libstdcxx-ng=14.2.0=h4852527_1
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libuuid=2.38.1=h0b41bf4_0
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libxml2=2.13.5=h0d44e9d_1
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libzip=1.11.2=h6991a6a_0
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libzlib=1.3.1=hb9d3cd8_2
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llvm-openmp=19.1.7=h024ca30_0
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lz4-c=1.9.4=h6a678d5_1
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matplotlib=3.10.0=pypi_0
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matplotlib-inline=0.1.7=pyhd8ed1ab_1
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mkl=2023.2.0=h84fe81f_50496
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mkl-service=2.4.0=py313h5eee18b_2
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mkl_fft=1.3.11=py313h5eee18b_0
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mkl_random=1.2.8=py313h06d7b56_0
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ncurses=6.5=h2d0b736_3
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nest-asyncio=1.6.0=pyhd8ed1ab_1
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netcdf4=1.7.2=nompi_py313h1dd084c_101
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numexpr=2.10.1=py313h3c60e43_0
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numpy=2.2.2=py313hf4aebb8_0
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numpy-base=2.2.2=py313h3fc9231_0
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openssl=3.4.0=h7b32b05_1
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packaging=24.2=py313h06a4308_0
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pandas=2.2.3=py313h6a678d5_0
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parso=0.8.4=pyhd8ed1ab_1
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pexpect=4.9.0=pyhd8ed1ab_1
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pickleshare=0.7.5=pyhd8ed1ab_1004
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pillow=11.1.0=pypi_0
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pip=24.2=py313h06a4308_0
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platformdirs=4.3.6=pyhd8ed1ab_1
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prompt-toolkit=3.0.50=pyha770c72_0
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psutil=6.1.1=py313h536fd9c_0
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ptyprocess=0.7.0=pyhd8ed1ab_1
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pure_eval=0.2.3=pyhd8ed1ab_1
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pygments=2.19.1=pyhd8ed1ab_0
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pyparsing=3.2.1=pypi_0
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python=3.13.1=ha99a958_105_cp313
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python-dateutil=2.9.0post0=py313h06a4308_2
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python-tzdata=2023.3=pyhd3eb1b0_0
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python_abi=3.13=0_cp313
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pytz=2024.1=py313h06a4308_0
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pyzmq=26.2.1=py313h8e95178_0
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readline=8.2=h5eee18b_0
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scipy=1.15.1=py313hf4aebb8_0
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seaborn=0.13.2=pypi_0
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setuptools=72.1.0=py313h06a4308_0
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six=1.16.0=pyhd3eb1b0_1
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snappy=1.2.1=h8bd8927_1
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sqlite=3.48.0=h9eae976_1
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stack_data=0.6.3=pyhd8ed1ab_1
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tbb=2021.8.0=hdb19cb5_0
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tk=8.6.13=noxft_h4845f30_101
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tornado=6.4.2=py313h536fd9c_0
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traitlets=5.14.3=pyhd8ed1ab_1
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typing_extensions=4.12.2=pyha770c72_1
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tzdata=2025a=h04d1e81_0
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wcwidth=0.2.13=pyhd8ed1ab_1
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wheel=0.44.0=py313h06a4308_0
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xarray=2024.11.0=py313h06a4308_0
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xz=5.4.6=h5eee18b_1
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zeromq=4.3.5=h3b0a872_7
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zipp=3.21.0=pyhd8ed1ab_1
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zlib=1.3.1=hb9d3cd8_2
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zstd=1.5.6=ha6fb4c9_0

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