mirror of
https://github.com/gradio-app/gradio.git
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85e8f3070c
* kaggle check * add tests * sagemaker * changelog * type check * update test requirements
390 lines
6.8 KiB
Plaintext
390 lines
6.8 KiB
Plaintext
#
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# This file is autogenerated by pip-compile with Python 3.10
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# by the following command:
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#
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# pip-compile --output-file=requirements.txt
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#
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alembic==1.8.1
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# via mlflow
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altair==4.2.0
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# via -r requirements.in
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anyio==3.6.1
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# via
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# httpcore
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# starlette
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appnope==0.1.3
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# via ipython
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asyncio==3.4.3
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# via -r requirements.in
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attrs==21.4.0
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# via
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# jsonschema
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# pytest
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backcall==0.2.0
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# via ipython
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black==22.6.0
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# via -r requirements.in
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boto3==1.26.65
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# via -r requirements.in
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certifi==2022.6.15
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# via
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# dulwich
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# httpcore
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# httpx
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# requests
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# sentry-sdk
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charset-normalizer==2.1.0
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# via requests
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click==8.1.3
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# via
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# black
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# databricks-cli
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# flask
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# mlflow
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# wandb
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cloudpickle==2.1.0
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# via
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# mlflow
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# shap
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comet-ml==3.31.6
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# via -r requirements.in
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configobj==5.0.6
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# via everett
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coverage[toml]==6.4.2
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# via
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# -r requirements.in
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# pytest-cov
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databricks-cli==0.17.0
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# via mlflow
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decorator==5.1.1
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# via ipython
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docker==5.0.3
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# via mlflow
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docker-pycreds==0.4.0
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# via wandb
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dulwich==0.20.45
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# via comet-ml
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entrypoints==0.4
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# via
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# altair
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# mlflow
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everett[ini]==3.0.0
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# via comet-ml
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fastapi==0.87.0
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# via -r requirements.in
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filelock==3.7.1
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# via
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# huggingface-hub
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# transformers
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flake8==4.0.1
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# via -r requirements.in
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flask==2.1.3
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# via
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# mlflow
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# prometheus-flask-exporter
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gitdb==4.0.9
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# via gitpython
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gitpython==3.1.27
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# via
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# mlflow
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# wandb
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gunicorn==20.1.0
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# via mlflow
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h11==0.12.0
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# via httpcore
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httpcore==0.15.0
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# via httpx
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httpx==0.23.0
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# via
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# -r requirements.in
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# respx
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huggingface-hub==0.8.1
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# via
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# -r requirements.in
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# transformers
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idna==3.3
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# via
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# anyio
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# requests
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# rfc3986
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imageio==2.19.5
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# via scikit-image
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importlib-metadata==4.2.0
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# via mlflow
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iniconfig==1.1.1
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# via pytest
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ipython==7.34.0
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# via -r requirements.in
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isort==5.10.1
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# via -r requirements.in
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itsdangerous==2.1.2
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# via flask
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jedi==0.18.1
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# via ipython
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jinja2==3.1.2
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# via
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# altair
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# flask
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joblib==1.1.0
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# via scikit-learn
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jsonschema==4.7.2
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# via
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# altair
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# comet-ml
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llvmlite==0.38.1
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# via numba
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mako==1.2.1
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# via alembic
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markupsafe==2.1.1
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# via
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# jinja2
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# mako
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matplotlib-inline==0.1.3
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# via ipython
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mccabe==0.6.1
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# via flake8
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mlflow==1.27.0
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# via -r requirements.in
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mypy-extensions==0.4.3
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# via black
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networkx==2.6.3
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# via scikit-image
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numba==0.55.2
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# via shap
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numpy==1.21.6
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# via
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# altair
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# imageio
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# mlflow
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# numba
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# pandas
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# pywavelets
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# scikit-image
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# scikit-learn
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# scipy
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# shap
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# tifffile
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# transformers
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nvidia-ml-py3==7.352.0
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# via comet-ml
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oauthlib==3.2.0
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# via databricks-cli
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packaging==21.3
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# via
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# huggingface-hub
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# mlflow
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# pytest
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# scikit-image
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# shap
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# transformers
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pandas==1.3.5
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# via
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# altair
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# mlflow
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# shap
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# vega-datasets
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parso==0.8.3
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# via jedi
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pathspec==0.9.0
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# via black
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pathtools==0.1.2
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# via wandb
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pexpect==4.8.0
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# via ipython
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pickleshare==0.7.5
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# via ipython
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pillow==9.2.0
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# via
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# imageio
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# scikit-image
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platformdirs==2.5.2
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# via black
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pluggy==1.0.0
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# via pytest
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prometheus-client==0.14.1
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# via prometheus-flask-exporter
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prometheus-flask-exporter==0.20.2
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# via mlflow
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promise==2.3
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# via wandb
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prompt-toolkit==3.0.30
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# via ipython
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protobuf==3.20.1
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# via
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# mlflow
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# wandb
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psutil==5.9.1
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# via wandb
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ptyprocess==0.7.0
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# via pexpect
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py==1.11.0
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# via pytest
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pycodestyle==2.8.0
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# via flake8
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pydantic==1.9.1
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# via
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# -r requirements.in
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# fastapi
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pyflakes==2.4.0
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# via flake8
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pygments==2.12.0
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# via ipython
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pyjwt==2.4.0
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# via databricks-cli
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pyparsing==3.0.9
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# via packaging
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pyrsistent==0.18.1
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# via jsonschema
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pytest==7.1.2
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# via
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# -r requirements.in
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# pytest-asyncio
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# pytest-cov
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pytest-asyncio==0.19.0
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# via -r requirements.in
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pytest-cov==3.0.0
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# via -r requirements.in
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python-dateutil==2.8.2
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# via pandas
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pytz==2022.1
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# via
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# mlflow
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# pandas
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pywavelets==1.3.0
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# via scikit-image
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pyyaml==6.0
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# via
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# huggingface-hub
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# mlflow
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# transformers
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# wandb
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querystring-parser==1.2.4
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# via mlflow
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regex==2022.7.9
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# via transformers
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requests==2.28.1
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# via
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# comet-ml
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# databricks-cli
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# docker
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# huggingface-hub
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# mlflow
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# requests-toolbelt
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# transformers
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# wandb
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requests-toolbelt==0.9.1
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# via comet-ml
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respx==0.19.2
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# via -r requirements.in
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rfc3986[idna2008]==1.5.0
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# via httpx
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scikit-image==0.19.3
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# via -r requirements.in
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scikit-learn==1.0.2
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# via shap
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scipy==1.7.3
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# via
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# mlflow
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# scikit-image
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# scikit-learn
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# shap
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semantic-version==2.10.0
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# via comet-ml
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sentry-sdk==1.7.2
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# via
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# comet-ml
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# wandb
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setproctitle==1.2.3
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# via wandb
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shap==0.41.0
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# via -r requirements.in
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shortuuid==1.0.9
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# via wandb
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six==1.16.0
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# via
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# comet-ml
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# configobj
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# databricks-cli
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# docker-pycreds
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# promise
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# python-dateutil
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# querystring-parser
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# wandb
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slicer==0.0.7
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# via shap
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smmap==5.0.0
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# via gitdb
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sniffio==1.2.0
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# via
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# anyio
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# httpcore
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# httpx
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sqlalchemy==1.4.39
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# via
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# alembic
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# mlflow
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sqlparse==0.4.2
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# via mlflow
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starlette==0.21.0
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# via fastapi
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tabulate==0.8.10
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# via databricks-cli
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threadpoolctl==3.1.0
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# via scikit-learn
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tifffile==2021.11.2
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# via scikit-image
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tokenizers==0.12.1
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# via transformers
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tomli==2.0.1
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# via
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# black
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# coverage
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# pytest
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toolz==0.12.0
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# via altair
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torch==1.12.0
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# via -r requirements.in
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tqdm==4.64.0
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# via
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# -r requirements.in
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# huggingface-hub
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# shap
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# transformers
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traitlets==5.3.0
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# via
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# ipython
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# matplotlib-inline
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transformers==4.20.1
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# via -r requirements.in
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typing-extensions==4.3.0
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# via
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# huggingface-hub
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# pydantic
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# torch
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urllib3==1.26.10
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# via
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# dulwich
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# requests
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# sentry-sdk
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vega-datasets==0.9.0
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# via -r requirements.in
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wandb==0.12.21
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# via -r requirements.in
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wcwidth==0.2.5
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# via prompt-toolkit
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websocket-client==1.3.3
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# via
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# comet-ml
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# docker
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werkzeug==2.1.2
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# via flask
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wrapt==1.14.1
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# via comet-ml
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wurlitzer==3.0.2
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# via comet-ml
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zipp==3.8.1
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# via importlib-metadata
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# The following packages are considered to be unsafe in a requirements file:
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# setuptools
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