# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: osx-64
alembic=1.13.2=pyhd8ed1ab_0
anyio=4.2.0=py39hecd8cb5_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
async-lru=2.0.4=py39hecd8cb5_0
attrs=23.1.0=py39hecd8cb5_0
autograd=1.6.2=pypi_0
babel=2.11.0=py39hecd8cb5_0
backcall=0.2.0=pyhd3eb1b0_0
beautifulsoup4=4.12.3=py39hecd8cb5_0
blas=1.0=openblas
bleach=4.1.0=pyhd3eb1b0_0
blinker=1.6.2=py39hecd8cb5_0
bottleneck=1.3.7=py39h7b7cdfe_0
brotli=1.0.9=h6c40b1e_8
brotli-bin=1.0.9=h6c40b1e_8
brotli-python=1.0.9=py39hcec6c5f_8
ca-certificates=2024.7.4=h8857fd0_0
cachelib=0.9.0=py39hecd8cb5_0
certifi=2024.7.4=pyhd8ed1ab_0
cffi=1.16.0=py39h6c40b1e_1
charset-normalizer=2.0.4=pyhd3eb1b0_0
click=8.1.7=py39hecd8cb5_0
cmaes=0.11.0=pyhd8ed1ab_0
colorama=0.4.6=pyhd8ed1ab_0
colorlog=6.8.2=py39h6e9494a_0
comm=0.2.1=py39hecd8cb5_0
contourpy=1.2.0=py39ha357a0b_0
cycler=0.11.0=pyhd3eb1b0_0
debugpy=1.6.7=py39hcec6c5f_0
decorator=5.1.1=pyhd3eb1b0_0
defusedxml=0.7.1=pyhd3eb1b0_0
exceptiongroup=1.2.0=py39hecd8cb5_0
executing=0.8.3=pyhd3eb1b0_0
filelock=3.13.1=py39hecd8cb5_0
flask=3.0.3=py39hecd8cb5_0
flask-session=0.4.0=py39hecd8cb5_0
fonttools=4.51.0=py39h6c40b1e_0
freetype=2.12.1=hd8bbffd_0
fsspec=2024.3.1=py39hecd8cb5_0
func-timeout=4.3.5=pypi_0
future=1.0.0=pypi_0
gmp=6.2.1=he9d5cce_3
gmpy2=2.1.2=py39hd5de756_0
greenlet=3.0.1=py39hcec6c5f_0
idna=3.7=py39hecd8cb5_0
importlib-metadata=7.0.1=py39hecd8cb5_0
importlib_metadata=7.0.1=hd3eb1b0_0
importlib_resources=6.4.0=py39hecd8cb5_0
ipykernel=6.28.0=py39hecd8cb5_0
ipython=8.15.0=py39hecd8cb5_0
itsdangerous=2.2.0=py39hecd8cb5_0
jedi=0.19.1=py39hecd8cb5_0
jinja2=3.1.4=py39hecd8cb5_0
joblib=1.4.2=pyhd8ed1ab_0
jpeg=9e=h6c40b1e_1
json5=0.9.6=pyhd3eb1b0_0
jsonschema=4.19.2=py39hecd8cb5_0
jsonschema-specifications=2023.7.1=py39hecd8cb5_0
jupyter-lsp=2.2.0=py39hecd8cb5_0
jupyter_client=8.6.0=py39hecd8cb5_0
jupyter_core=5.7.2=py39hecd8cb5_0
jupyter_events=0.10.0=py39hecd8cb5_0
jupyter_server=2.14.1=py39hecd8cb5_0
jupyter_server_terminals=0.4.4=py39hecd8cb5_1
jupyterlab=4.0.11=py39hecd8cb5_0
jupyterlab_pygments=0.1.2=py_0
jupyterlab_server=2.25.1=py39hecd8cb5_0
kiwisolver=1.4.4=py39hcec6c5f_0
lckr-jupyterlab-variableinspector=3.2.1=pypi_0
lcms2=2.12=hf1fd2bf_0
lerc=3.0=he9d5cce_0
libbrotlicommon=1.0.9=h6c40b1e_8
libbrotlidec=1.0.9=h6c40b1e_8
libbrotlienc=1.0.9=h6c40b1e_8
libcxx=14.0.6=h9765a3e_0
libdeflate=1.17=hb664fd8_1
libffi=3.4.4=hecd8cb5_1
libgfortran=5.0.0=11_3_0_hecd8cb5_28
libgfortran5=11.3.0=h9dfd629_28
libllvm14=14.0.6=h91fad77_3
libopenblas=0.3.21=h54e7dc3_0
libpng=1.6.39=h6c40b1e_0
libprotobuf=3.20.3=hfff2838_0
libsodium=1.0.18=h1de35cc_0
libtiff=4.5.1=hcec6c5f_0
libwebp-base=1.3.2=h6c40b1e_0
llvm-openmp=14.0.6=h0dcd299_0
llvmlite=0.43.0=py39h6d0c2b6_0
lz4-c=1.9.4=hcec6c5f_1
mako=1.3.5=pyhd8ed1ab_0
markupsafe=2.1.3=py39h6c40b1e_0
matplotlib-base=3.8.4=py39hb47e01b_0
matplotlib-inline=0.1.6=py39hecd8cb5_0
mistune=2.0.4=py39hecd8cb5_0
mpc=1.1.0=h6ef4df4_1
mpfr=4.0.2=h9066e36_1
mpmath=1.3.0=py39hecd8cb5_0
nbclient=0.8.0=py39hecd8cb5_0
nbconvert=7.10.0=py39hecd8cb5_0
nbformat=5.9.2=py39hecd8cb5_0
ncurses=6.4=hcec6c5f_0
nest-asyncio=1.6.0=py39hecd8cb5_0
networkx=3.2.1=py39hecd8cb5_0
notebook-shim=0.2.3=py39hecd8cb5_0
numba=0.60.0=py39h6d0c2b6_0
numexpr=2.8.7=py39hf6dca73_0
numpy=1.26.4=py39hf6dca73_0
numpy-base=1.26.4=py39hd8f4981_0
openjpeg=2.4.0=h7231236_2
openssl=3.3.1=h87427d6_2
optuna=3.6.1=pyhd8ed1ab_0
overrides=7.4.0=py39hecd8cb5_0
packaging=24.1=py39hecd8cb5_0
pandas=2.2.2=py39h6d0c2b6_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=10.4.0=py39h46256e1_0
pip=24.0=py39hecd8cb5_0
platformdirs=3.10.0=py39hecd8cb5_0
prometheus_client=0.14.1=py39hecd8cb5_0
prompt-toolkit=3.0.43=py39hecd8cb5_0
psutil=5.9.0=py39hca72f7f_0
ptyprocess=0.7.0=pyhd3eb1b0_2
pure_eval=0.2.2=pyhd3eb1b0_0
pyaml=24.7.0=pyhd8ed1ab_0
pyarrow=17.0.0=pypi_0
pycparser=2.21=pyhd3eb1b0_0
pygments=2.15.1=py39hecd8cb5_1
pynndescent=0.5.13=pyhff2d567_0
pyparsing=3.0.9=py39hecd8cb5_0
pysocks=1.7.1=py39hecd8cb5_0
python=3.9.19=h5ee71fb_1
python-dateutil=2.9.0post0=py39hecd8cb5_2
python-fastjsonschema=2.16.2=py39hecd8cb5_0
python-json-logger=2.0.7=py39hecd8cb5_0
python-tzdata=2023.3=pyhd3eb1b0_0
python_abi=3.9=2_cp39
pytorch=2.3.0=cpu_py39hd5ac491_0
pytz=2024.1=py39hecd8cb5_0
pyyaml=6.0.1=py39h6c40b1e_0
pyzmq=25.1.2=py39hcec6c5f_0
readline=8.2=hca72f7f_0
referencing=0.30.2=py39hecd8cb5_0
requests=2.32.2=py39hecd8cb5_0
rfc3339-validator=0.1.4=py39hecd8cb5_0
rfc3986-validator=0.1.1=py39hecd8cb5_0
rpds-py=0.10.6=py39hf2ad997_0
scikit-learn=1.3.0=py39h3ea8b11_1
scikit-optimize=0.10.2=pyhd8ed1ab_0
scipy=1.12.0=py39ha516a68_0
seaborn=0.13.2=py39hecd8cb5_0
send2trash=1.8.2=py39hecd8cb5_0
setuptools=69.5.1=py39hecd8cb5_0
six=1.16.0=pyhd3eb1b0_1
sniffio=1.3.0=py39hecd8cb5_0
soupsieve=2.5=py39hecd8cb5_0
sqlalchemy=2.0.31=py39hded5825_0
sqlite=3.45.3=h6c40b1e_0
stack_data=0.2.0=pyhd3eb1b0_0
sympy=1.12=py39hecd8cb5_0
tbb=2021.8.0=ha357a0b_0
terminado=0.17.1=py39hecd8cb5_0
threadpoolctl=3.5.0=pyhc1e730c_0
tinycss2=1.2.1=py39hecd8cb5_0
tk=8.6.14=h4d00af3_0
tomli=2.0.1=py39hecd8cb5_0
torchvision=0.15.2=cpu_py39h04f087f_0
tornado=6.4.1=py39h46256e1_0
tqdm=4.66.4=pyhd8ed1ab_0
traitlets=5.14.3=py39hecd8cb5_0
typing-extensions=4.11.0=py39hecd8cb5_0
typing_extensions=4.11.0=py39hecd8cb5_0
tzdata=2024.1=pypi_0
umap-learn=0.5.5=py39h6e9494a_1
unicodedata2=15.1.0=py39h6c40b1e_0
urllib3=2.2.2=py39hecd8cb5_0
wcwidth=0.2.5=pyhd3eb1b0_0
webencodings=0.5.1=py39hecd8cb5_1
websocket-client=1.8.0=py39hecd8cb5_0
werkzeug=3.0.3=py39hecd8cb5_0
wheel=0.43.0=py39hecd8cb5_0
xz=5.4.6=h6c40b1e_1
yaml=0.2.5=haf1e3a3_0
zeromq=4.3.5=hcec6c5f_0
zipp=3.17.0=py39hecd8cb5_0
zlib=1.2.13=h4b97444_1
zstd=1.5.5=hc035e20_2
