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requirements.lock
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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:.
absl-py==2.1.0
# via tensorboard
aiohttp==3.9.3
# via fsspec
aiosignal==1.3.1
# via aiohttp
annotated-types==0.6.0
# via pydantic
anyio==4.3.0
# via starlette
async-timeout==4.0.3
# via aiohttp
attrs==23.2.0
# via aiohttp
blosc2==2.5.1
# via tables
cachetools==5.3.3
# via google-auth
certifi==2024.2.2
# via requests
charset-normalizer==3.3.2
# via requests
colorama==0.4.6
# via tqdm
contourpy==1.2.1
# via matplotlib
cycler==0.12.1
# via matplotlib
exceptiongroup==1.2.0
# via anyio
fastapi==0.110.0
# via smaat-unet
filelock==3.13.3
# via torch
fonttools==4.50.0
# via matplotlib
frozenlist==1.4.1
# via aiohttp
# via aiosignal
fsspec==2024.3.1
# via lightning
# via pytorch-lightning
# via torch
google-auth==2.29.0
# via google-auth-oauthlib
# via tensorboard
google-auth-oauthlib==1.0.0
# via tensorboard
grpcio==1.62.1
# via tensorboard
h5py==3.8.0
# via smaat-unet
idna==3.6
# via anyio
# via requests
# via yarl
jinja2==3.1.3
# via torch
kiwisolver==1.4.5
# via matplotlib
lightning==2.2.1
# via smaat-unet
lightning-utilities==0.11.2
# via lightning
# via pytorch-lightning
# via torchmetrics
markdown==3.6
# via tensorboard
markupsafe==2.1.5
# via jinja2
# via werkzeug
matplotlib==3.8.3
# via smaat-unet
mpmath==1.3.0
# via sympy
msgpack==1.0.8
# via blosc2
multidict==6.0.5
# via aiohttp
# via yarl
ndindex==1.8
# via blosc2
networkx==3.2.1
# via torch
numexpr==2.9.0
# via tables
numpy==1.26.4
# via blosc2
# via contourpy
# via h5py
# via lightning
# via matplotlib
# via numexpr
# via pandas
# via pytorch-lightning
# via tables
# via tensorboard
# via torchmetrics
# via torchvision
oauthlib==3.2.2
# via requests-oauthlib
packaging==24.0
# via lightning
# via lightning-utilities
# via matplotlib
# via pytorch-lightning
# via tables
# via torchmetrics
pandas==1.5.3
# via smaat-unet
pillow==10.2.0
# via matplotlib
# via torchvision
protobuf==5.26.1
# via tensorboard
py-cpuinfo==9.0.0
# via blosc2
# via tables
pyasn1==0.6.0
# via pyasn1-modules
# via rsa
pyasn1-modules==0.4.0
# via google-auth
pydantic==2.6.4
# via fastapi
pydantic-core==2.16.3
# via pydantic
pyparsing==3.1.2
# via matplotlib
python-dateutil==2.9.0.post0
# via matplotlib
# via pandas
pytorch-lightning==2.2.1
# via lightning
pytz==2024.1
# via pandas
pyyaml==6.0.1
# via lightning
# via pytorch-lightning
requests==2.31.0
# via requests-oauthlib
# via tensorboard
requests-oauthlib==2.0.0
# via google-auth-oauthlib
rsa==4.9
# via google-auth
six==1.16.0
# via python-dateutil
sniffio==1.3.1
# via anyio
starlette==0.36.3
# via fastapi
sympy==1.12
# via torch
tables==3.9.2
# via smaat-unet
tensorboard==2.13.0
# via smaat-unet
tensorboard-data-server==0.7.2
# via tensorboard
torch==2.2.2+cu121
# via lightning
# via pytorch-lightning
# via smaat-unet
# via torchmetrics
# via torchvision
torchmetrics==1.3.2
# via lightning
# via pytorch-lightning
torchsummary==1.5.1
# via smaat-unet
torchvision==0.17.2+cu121
# via smaat-unet
tqdm==4.65.2
# via lightning
# via pytorch-lightning
# via smaat-unet
typing-extensions==4.10.0
# via anyio
# via fastapi
# via lightning
# via lightning-utilities
# via pydantic
# via pydantic-core
# via pytorch-lightning
# via torch
urllib3==2.2.1
# via requests
werkzeug==3.0.1
# via tensorboard
wheel==0.43.0
# via tensorboard
yarl==1.9.4
# via aiohttp
setuptools==69.2.0
# via lightning-utilities
# via tensorboard