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requirements.lock
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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
-e file:.
annotated-types==0.6.0
# via pydantic
anyio==4.2.0
# via jupyter-server
# via machine-learning-hands-on
appnope==0.1.3
# via ipykernel
# via machine-learning-hands-on
argon2-cffi==23.1.0
# via jupyter-server
# via machine-learning-hands-on
# via nbclassic
argon2-cffi-bindings==21.2.0
# via argon2-cffi
arrow==1.3.0
# via isoduration
asttokens==2.4.1
# via stack-data
async-generator==1.10
# via machine-learning-hands-on
async-lru==2.0.4
# via jupyterlab
attrs==23.1.0
# via jsonschema
# via machine-learning-hands-on
# via referencing
autopep8==2.0.4
# via machine-learning-hands-on
babel==2.14.0
# via jupyterlab-server
# via machine-learning-hands-on
backcall==0.2.0
# via machine-learning-hands-on
beautifulsoup4==4.12.2
# via machine-learning-hands-on
# via nbconvert
bleach==6.1.0
# via machine-learning-hands-on
# via nbconvert
blessed==1.20.0
# via curtsies
blessings==1.7
# via machine-learning-hands-on
bpython==0.24
# via machine-learning-hands-on
certifi==2023.11.17
# via machine-learning-hands-on
# via requests
cffi==1.16.0
# via argon2-cffi-bindings
# via machine-learning-hands-on
chardet==5.2.0
# via machine-learning-hands-on
charset-normalizer==3.3.2
# via requests
comm==0.2.0
# via ipykernel
curtsies==0.4.2
# via bpython
# via machine-learning-hands-on
cwcwidth==0.1.9
# via bpython
# via curtsies
# via machine-learning-hands-on
debugpy==1.8.0
# via ipykernel
decorator==5.1.1
# via ipython
# via machine-learning-hands-on
defusedxml==0.7.1
# via machine-learning-hands-on
# via nbconvert
deprecation==2.1.0
# via jupyter-packaging
entrypoints==0.4
# via machine-learning-hands-on
executing==2.0.1
# via stack-data
fastjsonschema==2.19.0
# via nbformat
flake8==6.1.0
# via machine-learning-hands-on
fqdn==1.5.1
# via jsonschema
greenlet==3.0.3
# via bpython
# via machine-learning-hands-on
idna==3.6
# via anyio
# via jsonschema
# via machine-learning-hands-on
# via requests
imbalanced-learn==0.12.2
# via imblearn
# via machine-learning-hands-on
imblearn==0.0
# via machine-learning-hands-on
iniconfig==2.0.0
# via machine-learning-hands-on
# via pytest
ipykernel==6.27.1
# via jupyterlab
# via machine-learning-hands-on
# via nbclassic
ipython==8.19.0
# via ipykernel
# via machine-learning-hands-on
ipython-genutils==0.2.0
# via machine-learning-hands-on
# via nbclassic
isoduration==20.11.0
# via jsonschema
jedi==0.19.1
# via ipython
# via machine-learning-hands-on
jinja2==3.1.2
# via jupyter-server
# via jupyterlab
# via jupyterlab-server
# via machine-learning-hands-on
# via nbclassic
# via nbconvert
joblib==1.3.2
# via imbalanced-learn
# via machine-learning-hands-on
# via scikit-learn
json5==0.9.14
# via jupyterlab-server
# via machine-learning-hands-on
jsonpointer==2.4
# via jsonschema
jsonschema==4.20.0
# via jupyter-events
# via jupyterlab-server
# via machine-learning-hands-on
# via nbformat
jsonschema-specifications==2023.12.1
# via jsonschema
jupyter-client==8.6.0
# via ipykernel
# via jupyter-server
# via machine-learning-hands-on
# via nbclassic
# via nbclient
jupyter-core==5.5.1
# via ipykernel
# via jupyter-client
# via jupyter-server
# via jupyterlab
# via machine-learning-hands-on
# via nbclassic
# via nbclient
# via nbconvert
# via nbformat
jupyter-events==0.9.0
# via jupyter-server
jupyter-lsp==2.2.1
# via jupyterlab
jupyter-packaging==0.12.3
# via machine-learning-hands-on
jupyter-server==2.12.1
# via jupyter-lsp
# via jupyterlab
# via jupyterlab-server
# via machine-learning-hands-on
# via nbclassic
# via notebook
# via notebook-shim
jupyter-server-terminals==0.5.0
# via jupyter-server
jupyterlab==4.0.9
# via machine-learning-hands-on
# via notebook
jupyterlab-pygments==0.3.0
# via machine-learning-hands-on
# via nbconvert
jupyterlab-server==2.25.2
# via jupyterlab
# via machine-learning-hands-on
# via notebook
markupsafe==2.1.3
# via jinja2
# via machine-learning-hands-on
# via nbconvert
matplotlib-inline==0.1.6
# via ipykernel
# via ipython
mccabe==0.7.0
# via flake8
# via machine-learning-hands-on
mistune==3.0.2
# via machine-learning-hands-on
# via nbconvert
mypy==1.8.0
# via machine-learning-hands-on
mypy-extensions==1.0.0
# via machine-learning-hands-on
# via mypy
nbclassic==1.0.0
# via machine-learning-hands-on
nbclient==0.9.0
# via machine-learning-hands-on
# via nbconvert
nbconvert==7.13.1
# via jupyter-server
# via machine-learning-hands-on
# via nbclassic
nbformat==5.9.2
# via jupyter-server
# via machine-learning-hands-on
# via nbclassic
# via nbclient
# via nbconvert
nest-asyncio==1.5.8
# via ipykernel
# via machine-learning-hands-on
# via nbclassic
notebook==7.0.6
# via machine-learning-hands-on
notebook-shim==0.2.3
# via jupyterlab
# via nbclassic
# via notebook
numpy==1.26.2
# via imbalanced-learn
# via machine-learning-hands-on
# via pandas
# via scikit-learn
# via scipy
overrides==7.4.0
# via jupyter-server
packaging==23.2
# via deprecation
# via ipykernel
# via jupyter-packaging
# via jupyter-server
# via jupyterlab
# via jupyterlab-server
# via machine-learning-hands-on
# via nbconvert
# via pytest
pandas==2.1.4
# via machine-learning-hands-on
pandocfilters==1.5.0
# via machine-learning-hands-on
# via nbconvert
parso==0.8.3
# via jedi
# via machine-learning-hands-on
pexpect==4.9.0
# via ipython
# via machine-learning-hands-on
pickleshare==0.7.5
# via machine-learning-hands-on
platformdirs==4.1.0
# via jupyter-core
pluggy==1.3.0
# via machine-learning-hands-on
# via pytest
prometheus-client==0.19.0
# via jupyter-server
# via machine-learning-hands-on
# via nbclassic
prompt-toolkit==3.0.43
# via ipython
# via machine-learning-hands-on
psutil==5.9.7
# via ipykernel
ptyprocess==0.7.0
# via machine-learning-hands-on
# via pexpect
# via terminado
pure-eval==0.2.2
# via stack-data
py==1.11.0
# via machine-learning-hands-on
pycodestyle==2.11.1
# via autopep8
# via flake8
# via machine-learning-hands-on
pycparser==2.21
# via cffi
# via machine-learning-hands-on
pydantic==2.5.3
# via machine-learning-hands-on
pydantic-core==2.14.6
# via pydantic
pyflakes==3.1.0
# via flake8
# via machine-learning-hands-on
pygments==2.17.2
# via bpython
# via ipython
# via machine-learning-hands-on
# via nbconvert
pyparsing==3.1.1
# via machine-learning-hands-on
pyrsistent==0.20.0
# via machine-learning-hands-on
pytest==7.4.3
# via machine-learning-hands-on
python-dateutil==2.8.2
# via arrow
# via jupyter-client
# via machine-learning-hands-on
# via pandas
python-json-logger==2.0.7
# via jupyter-events
pytz==2023.3.post1
# via machine-learning-hands-on
# via pandas
pyxdg==0.28
# via bpython
# via machine-learning-hands-on
pyyaml==6.0.1
# via jupyter-events
pyzmq==25.1.2
# via ipykernel
# via jupyter-client
# via jupyter-server
# via machine-learning-hands-on
# via nbclassic
referencing==0.32.0
# via jsonschema
# via jsonschema-specifications
# via jupyter-events
requests==2.31.0
# via bpython
# via jupyterlab-server
# via machine-learning-hands-on
rfc3339-validator==0.1.4
# via jsonschema
# via jupyter-events
rfc3986-validator==0.1.1
# via jsonschema
# via jupyter-events
rpds-py==0.15.2
# via jsonschema
# via referencing
scikit-learn==1.3.2
# via imbalanced-learn
# via machine-learning-hands-on
scipy==1.11.4
# via imbalanced-learn
# via machine-learning-hands-on
# via scikit-learn
send2trash==1.8.2
# via jupyter-server
# via machine-learning-hands-on
# via nbclassic
six==1.16.0
# via asttokens
# via bleach
# via blessed
# via blessings
# via machine-learning-hands-on
# via python-dateutil
# via rfc3339-validator
sniffio==1.3.0
# via anyio
# via machine-learning-hands-on
soupsieve==2.5
# via beautifulsoup4
# via machine-learning-hands-on
stack-data==0.6.3
# via ipython
terminado==0.18.0
# via jupyter-server
# via jupyter-server-terminals
# via machine-learning-hands-on
# via nbclassic
testpath==0.6.0
# via machine-learning-hands-on
threadpoolctl==3.2.0
# via imbalanced-learn
# via machine-learning-hands-on
# via scikit-learn
tinycss2==1.2.1
# via nbconvert
toml==0.10.2
# via machine-learning-hands-on
tomlkit==0.12.3
# via jupyter-packaging
tornado==6.4
# via ipykernel
# via jupyter-client
# via jupyter-server
# via jupyterlab
# via machine-learning-hands-on
# via nbclassic
# via notebook
# via terminado
tqdm==4.66.1
# via machine-learning-hands-on
traitlets==5.14.0
# via comm
# via ipykernel
# via ipython
# via jupyter-client
# via jupyter-core
# via jupyter-events
# via jupyter-server
# via jupyterlab
# via machine-learning-hands-on
# via matplotlib-inline
# via nbclassic
# via nbclient
# via nbconvert
# via nbformat
typed-ast==1.5.5
# via machine-learning-hands-on
types-python-dateutil==2.8.19.14
# via arrow
typing-extensions==4.9.0
# via machine-learning-hands-on
# via mypy
# via pydantic
# via pydantic-core
tzdata==2023.3
# via pandas
uri-template==1.3.0
# via jsonschema
urllib3==2.1.0
# via machine-learning-hands-on
# via requests
wcwidth==0.2.12
# via blessed
# via machine-learning-hands-on
# via prompt-toolkit
webcolors==1.13
# via jsonschema
webencodings==0.5.1
# via bleach
# via machine-learning-hands-on
# via tinycss2
websocket-client==1.7.0
# via jupyter-server
wheel==0.42.0
# via jupyter-packaging
setuptools==69.0.3
# via jupyter-packaging