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requirements.lock
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216 lines (215 loc) · 3.97 KB
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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
appnope==0.1.4
# via ipykernel
asttokens==2.4.1
# via stack-data
attrs==24.2.0
# via jsonschema
# via referencing
bigml==9.7.1
bigml-chronos==1.0.0
# via bigml
certifi==2024.8.30
# via requests
cffi==1.17.1
# via rpy2
charset-normalizer==3.3.2
# via requests
cliffs-delta==1.0.0
comm==0.2.2
# via ipykernel
contourpy==1.3.0
# via matplotlib
cycler==0.12.1
# via matplotlib
debugpy==1.8.6
# via ipykernel
decorator==5.1.1
# via ipython
dice-ml==0.11
executing==2.1.0
# via stack-data
fonttools==4.54.1
# via matplotlib
idna==3.10
# via requests
imageio==2.35.1
# via scikit-image
ipykernel==6.29.5
ipython==8.27.0
# via ipykernel
isoweek==1.3.3
# via bigml-chronos
javascript==1!1.2.1
# via bigml
jedi==0.19.1
# via ipython
jinja2==3.1.4
# via rpy2
joblib==1.4.2
# via mlxtend
# via scikit-learn
jsonschema==4.23.0
# via dice-ml
jsonschema-specifications==2023.12.1
# via jsonschema
jupyter-client==8.6.3
# via ipykernel
jupyter-core==5.7.2
# via ipykernel
# via jupyter-client
kiwisolver==1.4.7
# via matplotlib
lazy-loader==0.4
# via scikit-image
lime==0.2.0.1
markupsafe==3.0.1
# via jinja2
matplotlib==3.9.2
# via lime
# via mlxtend
# via seaborn
matplotlib-inline==0.1.7
# via ipykernel
# via ipython
mlxtend==0.23.1
msgpack==1.1.0
# via bigml
natsort==8.4.0
nest-asyncio==1.6.0
# via ipykernel
networkx==3.3
# via scikit-image
numpy==1.23.5
# via bigml
# via contourpy
# via dice-ml
# via imageio
# via lime
# via matplotlib
# via mlxtend
# via pandas
# via raiutils
# via scikit-image
# via scikit-learn
# via scipy
# via seaborn
# via tifffile
# via xgboost
packaging==24.1
# via ipykernel
# via lazy-loader
# via matplotlib
# via scikit-image
pandas==1.5.3
# via dice-ml
# via mlxtend
# via raiutils
# via seaborn
parso==0.8.4
# via jedi
pexpect==4.9.0
# via ipython
pillow==10.4.0
# via imageio
# via matplotlib
# via scikit-image
platformdirs==4.3.6
# via jupyter-core
prompt-toolkit==3.0.48
# via ipython
psutil==6.0.0
# via ipykernel
ptyprocess==0.7.0
# via pexpect
pure-eval==0.2.3
# via stack-data
pycparser==2.22
# via cffi
pygments==2.18.0
# via ipython
pyparsing==3.1.4
# via matplotlib
python-dateutil==2.9.0.post0
# via jupyter-client
# via matplotlib
# via pandas
python-dotenv==1.0.1
pytz==2024.2
# via bigml-chronos
# via pandas
pyzmq==26.2.0
# via ipykernel
# via jupyter-client
raiutils==0.4.2
# via dice-ml
referencing==0.35.1
# via jsonschema
# via jsonschema-specifications
requests==2.32.3
# via bigml
# via raiutils
# via requests-toolbelt
requests-toolbelt==1.0.0
# via bigml
rpds-py==0.20.0
# via jsonschema
# via referencing
rpy2==3.5.16
scikit-image==0.24.0
# via lime
scikit-learn==1.5.2
# via dice-ml
# via lime
# via mlxtend
# via raiutils
scipy==1.14.1
# via bigml
# via lime
# via mlxtend
# via raiutils
# via scikit-image
# via scikit-learn
# via xgboost
seaborn==0.13.2
six==1.16.0
# via asttokens
# via python-dateutil
stack-data==0.6.3
# via ipython
tabulate==0.9.0
threadpoolctl==3.5.0
# via scikit-learn
tifffile==2024.9.20
# via scikit-image
tornado==6.4.1
# via ipykernel
# via jupyter-client
tqdm==4.66.5
# via dice-ml
# via lime
traitlets==5.14.3
# via comm
# via ipykernel
# via ipython
# via jupyter-client
# via jupyter-core
# via matplotlib-inline
typing-extensions==4.12.2
# via ipython
tzlocal==5.2
# via rpy2
unidecode==1.3.8
# via bigml
urllib3==2.2.3
# via requests
wcwidth==0.2.13
# via prompt-toolkit
xgboost==2.1.1