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requirements.txt
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# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: osx-64
abseil-cpp=20210324.2=he49afe7_0
absl-py=1.0.0=pyhd8ed1ab_0
aiohttp=3.8.1=py39h63b48b0_1
aiosignal=1.2.0=pyhd8ed1ab_0
appnope=0.1.2=py39hecd8cb5_1001
argon2-cffi=21.3.0=pyhd3eb1b0_0
argon2-cffi-bindings=21.2.0=py39hca72f7f_0
asttokens=2.0.5=pyhd3eb1b0_0
astunparse=1.6.3=pyhd8ed1ab_0
async-timeout=4.0.2=pyhd8ed1ab_0
attrs=21.4.0=pyhd8ed1ab_0
backcall=0.2.0=pyhd3eb1b0_0
beautifulsoup4=4.11.1=py39hecd8cb5_0
blas=1.0=mkl
bleach=4.1.0=pyhd3eb1b0_0
blinker=1.4=py_1
bottleneck=1.3.4=py39h67323c0_0
brotli=1.0.9=hb1e8313_2
brotlipy=0.7.0=py39h63b48b0_1004
bzip2=1.0.8=h1de35cc_0
c-ares=1.18.1=h0d85af4_0
ca-certificates=2022.3.29=hecd8cb5_1
cached-property=1.5.2=hd8ed1ab_1
cached_property=1.5.2=pyha770c72_1
cachetools=5.0.0=pyhd8ed1ab_0
certifi=2021.10.8=py39hecd8cb5_2
cffi=1.15.0=py39hc55c11b_1
charset-normalizer=2.0.12=pyhd8ed1ab_0
click=8.1.2=py39h6e9494a_0
colorama=0.4.4=pyh9f0ad1d_0
cryptography=36.0.2=py39h1644bb1_1
cycler=0.11.0=pyhd3eb1b0_0
debugpy=1.5.1=py39he9d5cce_0
decorator=5.1.1=pyhd3eb1b0_0
defusedxml=0.7.1=pyhd3eb1b0_0
entrypoints=0.4=py39hecd8cb5_0
executing=0.8.3=pyhd3eb1b0_0
ffmpeg=4.3=h0a44026_0
fonttools=4.25.0=pyhd3eb1b0_0
freetype=2.11.0=hd8bbffd_0
frozenlist=1.3.0=py39h63b48b0_1
fsspec=2022.3.0=pyhd8ed1ab_0
future=0.18.2=py39h6e9494a_5
gast=0.4.0=pyh9f0ad1d_0
gettext=0.21.0=h7535e17_0
giflib=5.2.1=haf1e3a3_0
gmp=6.2.1=h23ab428_2
gnutls=3.6.15=hed9c0bf_0
google-auth=2.6.6=pyh6c4a22f_0
google-auth-oauthlib=0.4.1=py_2
google-pasta=0.2.0=pyh8c360ce_0
grpc-cpp=1.42.0=h6da9ac5_1
grpcio=1.42.0=py39ha29bfda_0
h5py=3.3.0=nompi_py39h1bb8402_100
hdf5=1.10.6=hdbbcd12_0
icu=69.1=he49afe7_0
idna=3.3=pyhd8ed1ab_0
importlib-metadata=4.11.3=py39h6e9494a_1
intel-openmp=2022.0.0=hecd8cb5_3615
ipykernel=6.9.1=py39hecd8cb5_0
ipython=8.2.0=py39hecd8cb5_0
ipython_genutils=0.2.0=pyhd3eb1b0_1
ipywidgets=7.6.5=pyhd3eb1b0_1
jedi=0.18.1=py39hecd8cb5_1
jinja2=3.0.3=pyhd3eb1b0_0
jpeg=9e=h5eb16cf_1
jsonschema=4.4.0=py39hecd8cb5_0
jupyter_client=7.2.2=py39hecd8cb5_0
jupyter_core=4.9.2=py39hecd8cb5_0
jupyterlab_pygments=0.1.2=py_0
jupyterlab_widgets=1.0.0=pyhd3eb1b0_1
keras=2.7.0=pyhd8ed1ab_0
keras-preprocessing=1.1.2=pyhd8ed1ab_0
kiwisolver=1.3.2=py39he9d5cce_0
krb5=1.19.2=hcfbf3a7_3
lame=3.100=h1de35cc_0
lcms2=2.12=hf1fd2bf_0
libcurl=7.81.0=hf45b732_0
libcxx=12.0.0=h2f01273_0
libedit=3.1.20191231=h0678c8f_2
libev=4.33=haf1e3a3_1
libffi=3.3=hb1e8313_2
libgfortran=3.0.1=0
libiconv=1.16=h1de35cc_0
libidn2=2.3.2=h9ed2024_0
libnghttp2=1.46.0=h6f36284_0
libpng=1.6.37=ha441bb4_0
libprotobuf=3.19.4=hcf210ce_0
libsodium=1.0.18=h1de35cc_0
libssh2=1.10.0=h52ee1ee_2
libtasn1=4.16.0=h9ed2024_0
libtiff=4.2.0=h87d7836_0
libunistring=0.9.10=h9ed2024_0
libuv=1.40.0=haf1e3a3_0
libwebp=1.2.2=h56c3ce4_0
libwebp-base=1.2.2=hca72f7f_0
libxml2=2.9.12=h7e28ab6_1
libzlib=1.2.11=h6c3fc93_1014
llvm-openmp=13.0.1=hcb1a161_1
lz4-c=1.9.3=h23ab428_1
markdown=3.3.6=pyhd8ed1ab_0
markupsafe=2.0.1=py39h9ed2024_0
matplotlib=3.5.1=py39hecd8cb5_1
matplotlib-base=3.5.1=py39hfb0c5b7_1
matplotlib-inline=0.1.2=pyhd3eb1b0_2
mistune=0.8.4=py39h9ed2024_1000
mkl=2021.4.0=h89fa619_689
mkl-service=2.4.0=py39hadd8af7_0
mkl_fft=1.3.1=py39h7ae3660_1
mkl_random=1.2.2=py39h4d6be9b_0
multidict=6.0.2=py39h63b48b0_1
munkres=1.1.4=py_0
nbclient=0.5.13=py39hecd8cb5_0
nbconvert=6.4.4=py39hecd8cb5_0
nbformat=5.3.0=py39hecd8cb5_0
ncurses=6.3=hca72f7f_2
nest-asyncio=1.5.5=py39hecd8cb5_0
nettle=3.7.3=h230ac6f_1
ninja=1.10.2=h940c156_1
notebook=6.4.8=py39hecd8cb5_0
numexpr=2.8.1=py39h2e5f0a9_0
numpy=1.21.5=py39h2e5f0a9_1
numpy-base=1.21.5=py39h3b1a694_1
oauthlib=3.2.0=pyhd8ed1ab_0
openh264=2.1.1=h8346a28_0
openssl=1.1.1n=hca72f7f_0
opt_einsum=3.3.0=pyhd8ed1ab_1
packaging=21.3=pyhd8ed1ab_0
pandas=1.4.2=py39he9d5cce_0
pandocfilters=1.5.0=pyhd3eb1b0_0
parso=0.8.3=pyhd3eb1b0_0
pexpect=4.8.0=pyhd3eb1b0_3
pickleshare=0.7.5=pyhd3eb1b0_1003
pillow=9.0.1=py39hde71d04_0
pip=21.2.4=py39hecd8cb5_0
prometheus_client=0.13.1=pyhd3eb1b0_0
prompt-toolkit=3.0.20=pyhd3eb1b0_0
protobuf=3.19.4=py39h9fcab8e_0
ptyprocess=0.7.0=pyhd3eb1b0_2
pure_eval=0.2.2=pyhd3eb1b0_0
pyasn1=0.4.8=py_0
pyasn1-modules=0.2.7=py_0
pycparser=2.21=pyhd8ed1ab_0
pydeprecate=0.3.2=pyhd8ed1ab_0
pygments=2.11.2=pyhd3eb1b0_0
pyjwt=2.3.0=pyhd8ed1ab_1
pyopenssl=22.0.0=pyhd8ed1ab_0
pyparsing=3.0.8=pyhd8ed1ab_0
pyrsistent=0.18.0=py39hca72f7f_0
pysocks=1.7.1=py39h6e9494a_5
python=3.9.12=hdfd78df_0
python-dateutil=2.8.2=pyhd3eb1b0_0
python-fastjsonschema=2.15.1=pyhd3eb1b0_0
python-flatbuffers=2.0=pyhd8ed1ab_0
python_abi=3.9=2_cp39
pytorch=1.11.0=py3.9_0
pytorch-lightning=1.6.1=pyhd8ed1ab_0
pytz=2021.3=pyhd3eb1b0_0
pyu2f=0.1.5=pyhd8ed1ab_0
pyyaml=6.0=py39h63b48b0_4
pyzmq=22.3.0=py39he9d5cce_2
re2=2021.11.01=he49afe7_0
readline=8.1.2=hca72f7f_1
requests=2.27.1=pyhd8ed1ab_0
requests-oauthlib=1.3.1=pyhd8ed1ab_0
rsa=4.8=pyhd8ed1ab_0
scipy=1.7.3=py39h8c7af03_0
seaborn=0.11.2=pyhd3eb1b0_0
send2trash=1.8.0=pyhd3eb1b0_1
setuptools=59.5.0=py39h6e9494a_0
six=1.16.0=pyh6c4a22f_0
snappy=1.1.8=hb1e8313_3
soupsieve=2.3.1=pyhd3eb1b0_0
sqlite=3.38.2=h707629a_0
stack_data=0.2.0=pyhd3eb1b0_0
tbb=2021.5.0=h940c156_0
tensorboard=2.6.0=py_1
tensorboard-data-server=0.6.0=py39h1644bb1_2
tensorboard-plugin-wit=1.8.1=pyhd8ed1ab_0
tensorflow=2.7.0=cpu_py39hb0a6171_0
tensorflow-base=2.7.0=cpu_py39h326c378_0
tensorflow-estimator=2.7.0=cpu_py39hf4c5dbc_0
termcolor=1.1.0=py_2
terminado=0.13.1=py39hecd8cb5_0
testpath=0.5.0=pyhd3eb1b0_0
tk=8.6.11=h7bc2e8c_0
torchmetrics=0.8.0=pyhd8ed1ab_0
torchvision=0.12.0=py39_cpu
tornado=6.1=py39h9ed2024_0
tqdm=4.64.0=pyhd8ed1ab_0
traitlets=5.1.1=pyhd3eb1b0_0
typing-extensions=4.2.0=hd8ed1ab_1
typing_extensions=4.2.0=pyha770c72_1
tzdata=2022a=hda174b7_0
urllib3=1.26.9=pyhd8ed1ab_0
wcwidth=0.2.5=pyhd3eb1b0_0
webencodings=0.5.1=py39hecd8cb5_1
werkzeug=2.1.1=pyhd8ed1ab_0
wheel=0.37.1=pyhd3eb1b0_0
widgetsnbextension=3.5.2=py39hecd8cb5_0
wrapt=1.14.0=py39h63b48b0_1
xz=5.2.5=h1de35cc_0
yaml=0.2.5=h0d85af4_2
yarl=1.7.2=py39h63b48b0_2
zeromq=4.3.4=h23ab428_0
zipp=3.8.0=pyhd8ed1ab_0
zlib=1.2.11=h6c3fc93_1014
zstd=1.4.9=h322a384_0