requirements.lock

# 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

absl-py==2.1.0
    # via keras
    # via tensorboard
    # via tensorflow-intel
aiohttp==3.9.5
    # via datasets
    # via fsspec
aiosignal==1.3.1
    # via aiohttp
alembic==1.13.1
    # via mlflow
aniso8601==9.0.1
    # via graphene
annotated-types==0.7.0
    # via pydantic
anyio==4.3.0
    # via httpx
    # via jupyter-server
    # via openai
argon2-cffi==23.1.0
    # via jupyter-server
argon2-cffi-bindings==21.2.0
    # via argon2-cffi
arrow==1.3.0
    # via isoduration
asttokens==2.4.1
    # via stack-data
astunparse==1.6.3
    # via tensorflow-intel
async-lru==2.0.4
    # via jupyterlab
attrs==23.2.0
    # via aiohttp
    # via jsonschema
    # via referencing
babel==2.15.0
    # via jupyterlab-server
beautifulsoup4==4.12.3
    # via nbconvert
bleach==6.1.0
    # via nbconvert
blinker==1.8.2
    # via flask
certifi==2024.2.2
    # via httpcore
    # via httpx
    # via requests
cffi==1.16.0
    # via argon2-cffi-bindings
charset-normalizer==3.3.2
    # via requests
click==8.1.7
    # via flask
    # via mlflow
cloudpickle==3.0.0
    # via hyperopt
    # via mlflow
colorama==0.4.6
    # via click
    # via ipython
    # via tqdm
comm==0.2.2
    # via ipykernel
    # via ipywidgets
contourpy==1.2.1
    # via matplotlib
cycler==0.12.1
    # via matplotlib
datasets==2.19.1
    # via evaluate
debugpy==1.8.1
    # via ipykernel
decorator==5.1.1
    # via ipython
defusedxml==0.7.1
    # via nbconvert
dill==0.3.8
    # via datasets
    # via evaluate
    # via multiprocess
distlib==0.3.8
    # via virtualenv
distro==1.9.0
    # via openai
docker==7.0.0
    # via mlflow
entrypoints==0.4
    # via mlflow
evaluate==0.4.2
executing==2.0.1
    # via stack-data
fastjsonschema==2.19.1
    # via nbformat
filelock==3.14.0
    # via datasets
    # via huggingface-hub
    # via transformers
    # via virtualenv
flask==3.0.3
    # via mlflow
flatbuffers==24.3.25
    # via tensorflow-intel
fonttools==4.51.0
    # via matplotlib
fqdn==1.5.1
    # via jsonschema
frozenlist==1.4.1
    # via aiohttp
    # via aiosignal
fsspec==2024.3.1
    # via datasets
    # via evaluate
    # via huggingface-hub
future==1.0.0
    # via hyperopt
gast==0.5.4
    # via tensorflow-intel
gitdb==4.0.11
    # via gitpython
gitpython==3.1.43
    # via mlflow
google-pasta==0.2.0
    # via tensorflow-intel
graphene==3.3
    # via mlflow
graphql-core==3.2.3
    # via graphene
    # via graphql-relay
graphql-relay==3.2.0
    # via graphene
greenlet==3.0.3
    # via sqlalchemy
grpcio==1.64.0
    # via tensorboard
    # via tensorflow-intel
h11==0.14.0
    # via httpcore
h5py==3.11.0
    # via keras
    # via tensorflow-intel
httpcore==1.0.5
    # via httpx
httpx==0.27.0
    # via jupyterlab
    # via openai
huggingface-hub==0.23.2
    # via datasets
    # via evaluate
    # via tokenizers
    # via transformers
hyperopt==0.2.7
idna==3.7
    # via anyio
    # via httpx
    # via jsonschema
    # via requests
    # via yarl
importlib-metadata==7.1.0
    # via mlflow
ipykernel==6.29.4
    # via jupyterlab
ipython==8.24.0
    # via ipykernel
    # via ipywidgets
ipywidgets==8.1.3
isoduration==20.11.0
    # via jsonschema
itsdangerous==2.2.0
    # via flask
jedi==0.19.1
    # via ipython
jinja2==3.1.4
    # via flask
    # via jupyter-server
    # via jupyterlab
    # via jupyterlab-server
    # via mlflow
    # via nbconvert
joblib==1.4.2
    # via scikit-learn
json5==0.9.25
    # via jupyterlab-server
jsonpointer==2.4
    # via jsonschema
jsonschema==4.22.0
    # via jupyter-events
    # via jupyterlab-server
    # via nbformat
jsonschema-specifications==2023.12.1
    # via jsonschema
jupyter-client==8.6.2
    # via ipykernel
    # via jupyter-server
    # via nbclient
jupyter-core==5.7.2
    # via ipykernel
    # via jupyter-client
    # via jupyter-server
    # via jupyterlab
    # via nbclient
    # via nbconvert
    # via nbformat
jupyter-events==0.10.0
    # via jupyter-server
jupyter-lsp==2.2.5
    # via jupyterlab
jupyter-server==2.14.0
    # via jupyter-lsp
    # via jupyterlab
    # via jupyterlab-server
    # via notebook
    # via notebook-shim
jupyter-server-terminals==0.5.3
    # via jupyter-server
jupyterlab==4.2.1
    # via notebook
jupyterlab-pygments==0.3.0
    # via nbconvert
jupyterlab-server==2.27.2
    # via jupyterlab
    # via notebook
jupyterlab-widgets==3.0.11
    # via ipywidgets
keras==3.3.3
    # via tensorflow-intel
kiwisolver==1.4.5
    # via matplotlib
libclang==18.1.1
    # via tensorflow-intel
mako==1.3.5
    # via alembic
markdown==3.6
    # via mlflow
    # via tensorboard
markdown-it-py==3.0.0
    # via rich
markupsafe==2.1.5
    # via jinja2
    # via mako
    # via nbconvert
    # via werkzeug
matplotlib==3.9.0
    # via mlflow
    # via seaborn
matplotlib-inline==0.1.7
    # via ipykernel
    # via ipython
mdurl==0.1.2
    # via markdown-it-py
mistune==3.0.2
    # via nbconvert
ml-dtypes==0.3.2
    # via keras
    # via tensorflow-intel
mlflow==2.12.2
multidict==6.0.5
    # via aiohttp
    # via yarl
multiprocess==0.70.16
    # via datasets
    # via evaluate
namex==0.0.8
    # via keras
nbclient==0.10.0
    # via nbconvert
nbconvert==7.16.4
    # via jupyter-server
nbformat==5.10.4
    # via jupyter-server
    # via nbclient
    # via nbconvert
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.3
    # via hyperopt
notebook==7.2.0
notebook-shim==0.2.4
    # via jupyterlab
    # via notebook
numpy==1.26.4
    # via contourpy
    # via datasets
    # via evaluate
    # via h5py
    # via hyperopt
    # via keras
    # via matplotlib
    # via ml-dtypes
    # via mlflow
    # via opt-einsum
    # via pandas
    # via pyarrow
    # via scikit-learn
    # via scipy
    # via seaborn
    # via tensorboard
    # via tensorflow-intel
    # via transformers
openai==1.30.5
opt-einsum==3.3.0
    # via tensorflow-intel
optree==0.11.0
    # via keras
overrides==7.7.0
    # via jupyter-server
packaging==24.0
    # via datasets
    # via docker
    # via evaluate
    # via huggingface-hub
    # via ipykernel
    # via jupyter-server
    # via jupyterlab
    # via jupyterlab-server
    # via matplotlib
    # via mlflow
    # via nbconvert
    # via tensorflow-intel
    # via transformers
pandas==2.2.2
    # via datasets
    # via evaluate
    # via mlflow
    # via seaborn
pandocfilters==1.5.1
    # via nbconvert
parso==0.8.4
    # via jedi
pillow==10.3.0
    # via matplotlib
pip==24.0
platformdirs==4.2.2
    # via jupyter-core
    # via virtualenv
prometheus-client==0.20.0
    # via jupyter-server
prompt-toolkit==3.0.43
    # via ipython
protobuf==4.25.3
    # via mlflow
    # via tensorboard
    # via tensorflow-intel
psutil==5.9.8
    # via ipykernel
pure-eval==0.2.2
    # via stack-data
py4j==0.10.9.7
    # via hyperopt
pyarrow==15.0.2
    # via datasets
    # via mlflow
pyarrow-hotfix==0.6
    # via datasets
pycparser==2.22
    # via cffi
pydantic==2.7.2
    # via openai
pydantic-core==2.18.3
    # via pydantic
pygments==2.18.0
    # via ipython
    # via nbconvert
    # via rich
pyparsing==3.1.2
    # via matplotlib
pyphen==0.15.0
    # via textstat
python-dateutil==2.9.0.post0
    # via arrow
    # via jupyter-client
    # via matplotlib
    # via pandas
python-json-logger==2.0.7
    # via jupyter-events
pytz==2024.1
    # via mlflow
    # via pandas
pywin32==306
    # via docker
    # via jupyter-core
pywinpty==2.0.13
    # via jupyter-server
    # via jupyter-server-terminals
    # via terminado
pyyaml==6.0.1
    # via datasets
    # via huggingface-hub
    # via jupyter-events
    # via mlflow
    # via transformers
pyzmq==26.0.3
    # via ipykernel
    # via jupyter-client
    # via jupyter-server
querystring-parser==1.2.4
    # via mlflow
referencing==0.35.1
    # via jsonschema
    # via jsonschema-specifications
    # via jupyter-events
regex==2024.5.15
    # via tiktoken
    # via transformers
requests==2.31.0
    # via datasets
    # via docker
    # via evaluate
    # via huggingface-hub
    # via jupyterlab-server
    # via mlflow
    # via tensorflow-intel
    # via tiktoken
    # via transformers
rfc3339-validator==0.1.4
    # via jsonschema
    # via jupyter-events
rfc3986-validator==0.1.1
    # via jsonschema
    # via jupyter-events
rich==13.7.1
    # via keras
rpds-py==0.18.1
    # via jsonschema
    # via referencing
safetensors==0.4.3
    # via transformers
scikit-learn==1.4.2
    # via mlflow
scipy==1.13.0
    # via hyperopt
    # via mlflow
    # via scikit-learn
seaborn==0.13.2
send2trash==1.8.3
    # via jupyter-server
setuptools==70.0.0
    # via tensorboard
    # via tensorflow-intel
six==1.16.0
    # via asttokens
    # via astunparse
    # via bleach
    # via google-pasta
    # via hyperopt
    # via python-dateutil
    # via querystring-parser
    # via rfc3339-validator
    # via tensorboard
    # via tensorflow-intel
smmap==5.0.1
    # via gitdb
sniffio==1.3.1
    # via anyio
    # via httpx
    # via openai
soupsieve==2.5
    # via beautifulsoup4
sqlalchemy==2.0.30
    # via alembic
    # via mlflow
sqlparse==0.5.0
    # via mlflow
stack-data==0.6.3
    # via ipython
tenacity==8.3.0
tensorboard==2.16.2
    # via tensorflow-intel
tensorboard-data-server==0.7.2
    # via tensorboard
tensorflow==2.16.1
    # via tf-keras
tensorflow-intel==2.16.1
    # via tensorflow
tensorflow-io-gcs-filesystem==0.31.0
    # via tensorflow-intel
termcolor==2.4.0
    # via tensorflow-intel
terminado==0.18.1
    # via jupyter-server
    # via jupyter-server-terminals
textstat==0.7.3
tf-keras==2.16.0
threadpoolctl==3.5.0
    # via scikit-learn
tiktoken==0.7.0
tinycss2==1.3.0
    # via nbconvert
tokenizers==0.19.1
    # via transformers
tornado==6.4
    # via ipykernel
    # via jupyter-client
    # via jupyter-server
    # via jupyterlab
    # via notebook
    # via terminado
tqdm==4.66.4
    # via datasets
    # via evaluate
    # via huggingface-hub
    # via hyperopt
    # via openai
    # via transformers
traitlets==5.14.3
    # via comm
    # via ipykernel
    # via ipython
    # via ipywidgets
    # via jupyter-client
    # via jupyter-core
    # via jupyter-events
    # via jupyter-server
    # via jupyterlab
    # via matplotlib-inline
    # via nbclient
    # via nbconvert
    # via nbformat
transformers==4.41.1
types-python-dateutil==2.9.0.20240316
    # via arrow
typing-extensions==4.11.0
    # via alembic
    # via huggingface-hub
    # via ipython
    # via openai
    # via optree
    # via pydantic
    # via pydantic-core
    # via sqlalchemy
    # via tensorflow-intel
tzdata==2024.1
    # via pandas
uri-template==1.3.0
    # via jsonschema
urllib3==2.2.1
    # via docker
    # via requests
virtualenv==20.26.2
waitress==3.0.0
    # via mlflow
wcwidth==0.2.13
    # via prompt-toolkit
webcolors==1.13
    # via jsonschema
webencodings==0.5.1
    # via bleach
    # via tinycss2
websocket-client==1.8.0
    # via jupyter-server
werkzeug==3.0.3
    # via flask
    # via tensorboard
wheel==0.43.0
    # via astunparse
widgetsnbextension==4.0.11
    # via ipywidgets
wrapt==1.16.0
    # via tensorflow-intel
xxhash==3.4.1
    # via datasets
    # via evaluate
yarl==1.9.4
    # via aiohttp
zipp==3.18.2
    # via importlib-metadata