# This file may be used to create an environment using: # $ conda create --name --file # platform: linux-64 _libgcc_mutex=0.1=conda_forge _openmp_mutex=4.5=2_kmp_llvm abseil-cpp=20211102.0=h93e1e8c_2 aiosmtpd=1.4.2=py310hff52083_2 alabaster=0.7.12=py_0 alsa-lib=1.2.7.2=h166bdaf_0 altair=4.2.0=pyhd8ed1ab_1 ansiwrap=0.8.4=py_0 anyio=3.6.1=pyhd8ed1ab_1 aom=3.5.0=h27087fc_0 argon2-cffi=21.3.0=pyhd8ed1ab_0 argon2-cffi-bindings=21.2.0=py310h5764c6d_2 arrow=1.2.3=pyhd8ed1ab_0 arrow-cpp=8.0.0=py310h3098874_0 astroid=2.12.10=py310hff52083_0 astropy=5.1=py310hde88566_0 asttokens=2.0.8=pyhd8ed1ab_0 async_generator=1.10=py_0 atk-1.0=2.36.0=h3371d22_4 atlassian-python-api=3.28.1=pyhd8ed1ab_0 atomicwrites=1.4.1=pyhd8ed1ab_0 atpublic=3.0.1=pyhd8ed1ab_0 attr=2.5.1=h166bdaf_1 attrs=22.1.0=pyh71513ae_1 autopep8=1.6.0=pyhd8ed1ab_1 aws-c-common=0.4.57=he6710b0_1 aws-c-event-stream=0.1.6=h2531618_5 aws-checksums=0.1.9=he6710b0_0 aws-sdk-cpp=1.8.185=hce553d0_0 babel=2.10.3=pyhd8ed1ab_0 backcall=0.2.0=pyh9f0ad1d_0 backports=1.0=py_2 backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0 bcrypt=3.2.2=py310h5764c6d_0 beautifulsoup4=4.11.1=pyha770c72_0 binaryornot=0.4.4=py_1 black=22.8.0=py310hff52083_0 blas=1.0=mkl bleach=5.0.1=pyhd8ed1ab_0 blinker=1.4=py_1 blosc=1.21.1=h83bc5f7_3 bokeh=2.4.3=pyhd8ed1ab_3 boost-cpp=1.78.0=h75c5d50_1 boruta_py=0.3=py_0 branca=0.5.0=pyhd8ed1ab_0 brotli=1.0.9=h166bdaf_7 brotli-bin=1.0.9=h166bdaf_7 brotli-python=1.0.9=py310hd8f1fbe_7 brotlipy=0.7.0=py310h5764c6d_1004 brunsli=0.1=h9c3ff4c_0 bzip2=1.0.8=h7f98852_4 c-ares=1.18.1=h7f98852_0 c-blosc2=2.4.2=h7a311fb_0 ca-certificates=2022.9.24=ha878542_0 cached-property=1.5.2=hd8ed1ab_1 cached_property=1.5.2=pyha770c72_1 cachetools=5.2.0=pyhd8ed1ab_0 cairo=1.16.0=ha61ee94_1014 cartopy=0.21.0=py310hcda3f9e_0 certifi=2022.9.24=pyhd8ed1ab_0 cffi=1.15.1=py310h255011f_0 cfgv=3.3.1=pyhd8ed1ab_0 cfitsio=4.1.0=hd9d235c_0 cftime=1.6.2=py310hde88566_0 chardet=5.0.0=py310hff52083_0 charls=2.3.4=h9c3ff4c_0 charset-normalizer=2.1.1=pyhd8ed1ab_0 click=8.1.3=py310hff52083_0 click-plugins=1.1.1=py_0 cligj=0.7.2=pyhd8ed1ab_1 cloudpickle=2.2.0=pyhd8ed1ab_0 colorama=0.4.5=pyhd8ed1ab_0 colorcet=3.0.0=pyhd8ed1ab_0 coloredlogs=15.0.1=pyhd8ed1ab_3 commonmark=0.9.1=py_0 contourpy=1.0.5=py310hbf28c38_0 cookiecutter=2.1.1=pyh6c4a22f_0 coverage=6.5.0=py310h5764c6d_0 cramjam=2.5.0=py310hddbf208_0 cryptography=37.0.4=py310h597c629_0 cssselect=1.1.0=py_0 curl=7.83.1=h7bff187_0 cycler=0.11.0=pyhd8ed1ab_0 cython=0.29.32=py310hd8f1fbe_0 cytoolz=0.12.0=py310h5764c6d_0 daal4py=2021.6.0=py310h419f4a9_0 dal=2021.6.0=ha770c72_915 dash=2.6.2=pyhd8ed1ab_0 dask=2022.9.2=pyhd8ed1ab_0 dask-core=2022.9.2=pyhd8ed1ab_0 dask-jobqueue=0.8.0=pyhd8ed1ab_0 dataclasses=0.8=pyhc8e2a94_3 datashader=0.14.2=pyh6c4a22f_0 datashape=0.5.4=py_1 dav1d=1.0.0=h166bdaf_1 dbus=1.13.6=h5008d03_3 debugpy=1.6.3=py310hd8f1fbe_0 decorator=5.1.1=pyhd8ed1ab_0 defusedxml=0.7.1=pyhd8ed1ab_0 deprecated=1.2.13=pyh6c4a22f_0 diff-match-patch=20200713=pyh9f0ad1d_0 dill=0.3.5.1=pyhd8ed1ab_0 distlib=0.3.5=pyhd8ed1ab_0 distributed=2022.9.2=pyhd8ed1ab_0 dnspython=2.2.1=pyhd8ed1ab_0 docutils=0.19=py310hff52083_0 drmaa=0.7.9=py_1000 entrypoints=0.4=pyhd8ed1ab_0 et_xmlfile=1.0.1=py_1001 exceptiongroup=1.0.0rc9=pyhd8ed1ab_0 execnet=1.9.0=pyhd8ed1ab_0 executing=1.1.0=pyhd8ed1ab_0 expat=2.4.9=h27087fc_0 fastparquet=0.8.3=py310hde88566_0 fftw=3.3.10=nompi_hf0379b8_105 filelock=3.8.0=pyhd8ed1ab_0 fiona=1.8.21=py310h60a68a4_2 firefox=105.0=h27087fc_0 flake8=4.0.1=pyhd8ed1ab_2 flask=2.2.2=pyhd8ed1ab_0 flask-compress=1.13=pyhd8ed1ab_0 flit-core=3.7.1=pyhd8ed1ab_0 folium=0.12.1.post1=pyhd8ed1ab_1 font-ttf-dejavu-sans-mono=2.37=hab24e00_0 font-ttf-inconsolata=3.000=h77eed37_0 font-ttf-source-code-pro=2.038=h77eed37_0 font-ttf-ubuntu=0.83=hab24e00_0 fontconfig=2.14.0=hc2a2eb6_1 fonts-conda-ecosystem=1=0 fonts-conda-forge=1=0 fonttools=4.37.4=py310h5764c6d_0 freetype=2.12.1=hca18f0e_0 freexl=1.0.6=h166bdaf_1 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holoviews=1.15.0=pyhd8ed1ab_0 humanfriendly=10.0=py310hff52083_4 hvplot=0.8.1=pyhd8ed1ab_0 hypothesis=6.56.0=py310hff52083_0 icu=70.1=h27087fc_0 identify=2.5.5=pyhd8ed1ab_0 idna=3.4=pyhd8ed1ab_0 imagecodecs=2022.9.26=py310h1689d63_0 imageio=2.22.0=pyhfa7a67d_0 imagesize=1.4.1=pyhd8ed1ab_0 importlib-metadata=4.11.4=py310hff52083_0 importlib_resources=5.9.0=pyhd8ed1ab_0 inflection=0.5.1=pyh9f0ad1d_0 iniconfig=1.1.1=pyh9f0ad1d_0 intel-openmp=2022.1.0=h9e868ea_3769 intervaltree=3.0.2=py_0 ipdb=0.13.9=pyhd8ed1ab_0 ipykernel=6.16.0=pyh210e3f2_0 ipython=7.33.0=py310hff52083_0 ipython_genutils=0.2.0=py_1 ipywidgets=8.0.2=pyhd8ed1ab_1 isort=5.10.1=pyhd8ed1ab_0 itsdangerous=2.1.2=pyhd8ed1ab_0 jack=1.9.18=h8c3723f_1003 jaraco.classes=3.2.2=pyhd8ed1ab_0 jedi=0.18.1=pyhd8ed1ab_2 jeepney=0.8.0=pyhd8ed1ab_0 jellyfish=0.9.0=py310h5764c6d_1 jinja2=3.1.2=pyhd8ed1ab_1 jinja2-time=0.2.0=pyhd8ed1ab_3 joblib=1.2.0=pyhd8ed1ab_0 jpeg=9e=h166bdaf_2 json-c=0.16=hc379101_0 json5=0.9.5=pyh9f0ad1d_0 jsonschema=4.16.0=pyhd8ed1ab_0 jupyter=1.0.0=py310hff52083_7 jupyter-server-mathjax=0.2.6=pyhc268e32_0 jupyter_client=7.3.4=pyhd8ed1ab_0 jupyter_console=6.4.4=pyhd8ed1ab_0 jupyter_core=4.11.1=py310hff52083_0 jupyter_server=1.19.1=pyhd8ed1ab_0 jupyterlab=3.4.7=pyhd8ed1ab_0 jupyterlab_pygments=0.2.2=pyhd8ed1ab_0 jupyterlab_server=2.15.2=pyhd8ed1ab_0 jupyterlab_widgets=3.0.3=pyhd8ed1ab_0 jxrlib=1.1=h7f98852_2 kaleido-core=0.2.1=h3644ca4_0 kealib=1.4.15=ha7026e8_1 keyring=23.9.3=py310hff52083_0 keyutils=1.6.1=h166bdaf_0 kiwisolver=1.4.4=py310hbf28c38_0 krb5=1.19.3=h3790be6_0 lazy-object-proxy=1.7.1=py310h5764c6d_1 lcms2=2.12=hddcbb42_0 ld_impl_linux-64=2.36.1=hea4e1c9_2 lerc=4.0.0=h27087fc_0 libabseil=20211102.0=cxx17_h48a1fff_2 libaec=1.0.6=h9c3ff4c_0 libavif=0.10.1=h5cdd6b5_2 libblas=3.9.0=12_linux64_mkl libbrotlicommon=1.0.9=h166bdaf_7 libbrotlidec=1.0.9=h166bdaf_7 libbrotlienc=1.0.9=h166bdaf_7 libcap=2.65=ha37c62d_0 libcblas=3.9.0=12_linux64_mkl libclang=14.0.6=default_hc1a23ef_0 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mccabe=0.6.1=py_1 memory_profiler=0.60.0=pyhd8ed1ab_0 mistune=2.0.4=pyhd8ed1ab_0 mkl=2021.4.0=h8d4b97c_729 mkl-service=2.4.0=py310ha2c4b55_0 mkl_fft=1.3.1=py310h2b4bcf5_1 mkl_random=1.2.2=py310h00e6091_0 more-itertools=8.14.0=pyhd8ed1ab_0 mpc=1.2.1=h9f54685_0 mpfr=4.1.0=h9202a9a_1 mpi=1.0=mpich mpich=4.0.2=h846660c_100 mpmath=1.2.1=pyhd8ed1ab_0 msgpack-python=1.0.4=py310hbf28c38_0 multipledispatch=0.6.0=py_0 munch=2.5.0=py_0 munkres=1.1.4=pyh9f0ad1d_0 mypy=0.981=py310h5764c6d_0 mypy_extensions=0.4.3=py310hff52083_5 mysql-common=8.0.30=haf5c9bc_1 mysql-connector-python=8.0.30=py310h0d8d206_0 mysql-libs=8.0.30=h28c427c_1 nbclassic=0.4.4=pyhd8ed1ab_0 nbclient=0.6.8=pyhd8ed1ab_0 nbconvert=7.0.0=pyhd8ed1ab_0 nbconvert-core=7.0.0=pyhd8ed1ab_0 nbconvert-pandoc=7.0.0=pyhd8ed1ab_0 nbdime=3.1.1=pyhd8ed1ab_0 nbformat=5.6.1=pyhd8ed1ab_0 nbsmoke=0.5.0=pyh9f0ad1d_0 ncurses=6.3=h27087fc_1 nest-asyncio=1.5.6=pyhd8ed1ab_0 netcdf4=1.6.1=nompi_py310h55e1e36_100 networkx=2.8.6=pyhd8ed1ab_0 nltk=3.6.7=pyhd8ed1ab_0 nodeenv=1.7.0=pyhd8ed1ab_0 notebook=6.4.12=pyha770c72_0 notebook-shim=0.1.0=pyhd8ed1ab_0 nspr=4.32=h9c3ff4c_1 nss=3.78=h2350873_0 numba=0.56.2=py310ha5257ce_1 numexpr=2.8.3=py310hcea2de6_0 numpy=1.23.1=py310h1794996_0 numpy-base=1.23.1=py310hcba007f_0 numpydoc=1.4.0=pyhd8ed1ab_1 oauthlib=3.2.1=pyhd8ed1ab_0 openblas=0.3.21=pthreads_h320a7e8_3 openjpeg=2.5.0=h7d73246_1 openpyxl=3.0.10=py310h5764c6d_1 openssl=1.1.1s=h166bdaf_0 orc=1.7.4=h07ed6aa_0 outcome=1.2.0=pyhd8ed1ab_0 packaging=21.3=pyhd8ed1ab_0 pandas=1.5.0=py310h769672d_0 pandas-profiling=1.4.1=0 pandoc=2.19.2=ha770c72_0 pandocfilters=1.5.0=pyhd8ed1ab_0 panel=0.13.1=pyhd8ed1ab_0 pango=1.50.10=hc4f8a73_0 papermill=2.3.4=pyhd8ed1ab_0 param=1.12.2=pyh6c4a22f_0 paramiko=2.11.0=pyhd8ed1ab_0 parso=0.8.3=pyhd8ed1ab_0 partd=1.3.0=pyhd8ed1ab_0 pathspec=0.10.1=pyhd8ed1ab_0 patsy=0.5.2=pyhd8ed1ab_0 pcre=8.45=h9c3ff4c_0 pcre2=10.37=hc3806b6_1 pep8=1.7.1=py_0 pexpect=4.8.0=pyh9f0ad1d_2 pickleshare=0.7.5=py_1003 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