FIAM-hack/requirements.lock at main · Ronkiji/FIAM-hack · GitHub

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# generated by rye
# use `rye lock` or `rye sync` to update this lockfile
#
# last locked with the following flags:
#   pre: false
#   features: []
#   all-features: false
#   with-sources: false
#   generate-hashes: false
#   universal: false

-e file:.
absl-py==2.1.0
    # via keras
    # via tensorboard
    # via tensorflow-intel
astunparse==1.6.3
    # via tensorflow-intel
certifi==2024.8.30
    # via requests
charset-normalizer==3.3.2
    # via requests
contourpy==1.3.0
    # via matplotlib
cycler==0.12.1
    # via matplotlib
flatbuffers==24.3.25
    # via tensorflow-intel
fonttools==4.54.1
    # via matplotlib
gast==0.6.0
    # via tensorflow-intel
google-pasta==0.2.0
    # via tensorflow-intel
grpcio==1.66.2
    # via tensorboard
    # via tensorflow-intel
h5py==3.12.1
    # via keras
    # via tensorflow-intel
idna==3.10
    # via requests
joblib==1.4.2
    # via scikit-learn
keras==3.5.0
    # via tensorflow-intel
kiwisolver==1.4.7
    # via matplotlib
libclang==18.1.1
    # via tensorflow-intel
markdown==3.7
    # via tensorboard
markdown-it-py==3.0.0
    # via rich
markupsafe==2.1.5
    # via werkzeug
matplotlib==3.9.2
    # via fiam-hack
mdurl==0.1.2
    # via markdown-it-py
ml-dtypes==0.3.2
    # via keras
    # via tensorflow-intel
namex==0.0.8
    # via keras
numpy==1.26.4
    # via contourpy
    # via h5py
    # via keras
    # via matplotlib
    # via ml-dtypes
    # via pandas
    # via patsy
    # via scikit-learn
    # via scipy
    # via statsmodels
    # via tensorboard
    # via tensorflow-intel
    # via xgboost
opt-einsum==3.4.0
    # via tensorflow-intel
optree==0.12.1
    # via keras
packaging==24.1
    # via keras
    # via matplotlib
    # via statsmodels
    # via tensorflow-intel
pandas==2.2.3
    # via fiam-hack
    # via statsmodels
patsy==0.5.6
    # via statsmodels
pillow==10.4.0
    # via matplotlib
protobuf==4.25.5
    # via tensorboard
    # via tensorflow-intel
pygments==2.18.0
    # via rich
pyparsing==3.1.4
    # via matplotlib
python-dateutil==2.9.0.post0
    # via matplotlib
    # via pandas
pytz==2024.2
    # via pandas
requests==2.32.3
    # via tensorflow-intel
rich==13.9.1
    # via keras
scikit-learn==1.5.2
    # via fiam-hack
scipy==1.14.1
    # via scikit-learn
    # via statsmodels
    # via xgboost
setuptools==75.1.0
    # via tensorboard
    # via tensorflow-intel
six==1.16.0
    # via astunparse
    # via google-pasta
    # via patsy
    # via python-dateutil
    # via tensorboard
    # via tensorflow-intel
sklearn-preprocessing==0.1.0
    # via fiam-hack
statsmodels==0.14.3
    # via fiam-hack
tensorboard==2.16.2
    # via tensorflow-intel
tensorboard-data-server==0.7.2
    # via tensorboard
tensorflow==2.16.2
    # via fiam-hack
tensorflow-intel==2.16.2
    # via tensorflow
termcolor==2.4.0
    # via tensorflow-intel
threadpoolctl==3.5.0
    # via scikit-learn
typing-extensions==4.12.2
    # via optree
    # via tensorflow-intel
tzdata==2024.1
    # via pandas
urllib3==2.2.3
    # via requests
werkzeug==3.0.4
    # via tensorboard
wheel==0.44.0
    # via astunparse
wrapt==1.16.0
    # via tensorflow-intel
xgboost==2.1.1
    # via fiam-hack