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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:.
aiohttp==3.9.5
# via fsspec
aiosignal==1.3.1
# via aiohttp
appdirs==1.4.4
# via wandb
asciitree==0.3.3
# via zarr
asttokens==2.4.1
# via icecream
attrs==23.2.0
# via aiohttp
# via hypothesis
beartype==0.18.5
# via dlboost
# via plum-dispatch
bokeh==3.4.1
# via dask
bottleneck==1.3.8
# via xarray
certifi==2024.2.2
# via netcdf4
# via requests
# via sentry-sdk
cfgv==3.4.0
# via pre-commit
cftime==1.6.3
# via nc-time-axis
# via netcdf4
# via xarray
charset-normalizer==3.3.2
# via requests
click==8.1.7
# via dask
# via distributed
# via wandb
cloudpickle==3.0.0
# via dask
# via distributed
colorama==0.4.6
# via icecream
contourpy==1.2.1
# via bokeh
# via matplotlib
coverage==7.5.0
# via pytest-cov
cycler==0.12.1
# via matplotlib
dask==2024.4.2
# via dask-expr
# via distributed
# via dlboost
# via xarray
dask-expr==1.0.14
# via dask
distlib==0.3.8
# via virtualenv
distributed==2024.4.2
# via dask
docker-pycreds==0.4.0
# via wandb
einops==0.8.0
# via dlboost
einx==0.2.2
# via dlboost
execnet==2.1.1
# via pytest-xdist
executing==2.0.1
# via icecream
fasteners==0.19
# via zarr
filelock==3.14.0
# via torch
# via triton
# via virtualenv
flox==0.9.6
# via xarray
fonttools==4.51.0
# via matplotlib
frozendict==2.4.2
# via einx
frozenlist==1.4.1
# via aiohttp
# via aiosignal
fsspec==2024.3.1
# via dask
# via lightning
# via pytorch-lightning
# via torch
# via xarray
gitdb==4.0.11
# via gitpython
gitpython==3.1.43
# via wandb
graphviz==0.20.3
# via torchopt
h5netcdf==1.3.0
# via xarray
h5py==3.11.0
# via h5netcdf
hypothesis==6.100.2
# via xarray
icecream==2.1.3
# via dlboost
identify==2.5.36
# via pre-commit
idna==3.7
# via requests
# via yarl
imageio==2.34.1
# via dlboost
importlib-metadata==7.1.0
# via dask
iniconfig==2.0.0
# via pytest
jaxtyping==0.2.28
# via dlboost
jinja2==3.1.3
# via bokeh
# via dask
# via distributed
# via torch
joblib==1.4.0
# via scikit-learn
kiwisolver==1.4.5
# via matplotlib
lightning==2.2.3
# via dlboost
lightning-utilities==0.11.2
# via lightning
# via pytorch-lightning
# via torchmetrics
llvmlite==0.42.0
# via numba
locket==1.0.0
# via distributed
# via partd
lz4==4.3.3
# via dask
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.5
# via jinja2
matplotlib==3.8.4
# via nc-time-axis
# via seaborn
# via xarray
mdurl==0.1.2
# via markdown-it-py
monai==1.3.0
# via dlboost
mpmath==1.3.0
# via sympy
msgpack==1.0.8
# via distributed
multidict==6.0.5
# via aiohttp
# via yarl
nc-time-axis==1.4.1
# via xarray
netcdf4==1.6.5
# via xarray
networkx==3.3
# via torch
nodeenv==1.8.0
# via pre-commit
numba==0.59.1
# via numbagg
numbagg==0.8.1
# via xarray
numcodecs==0.12.1
# via zarr
numpy==1.26.4
# via bokeh
# via bottleneck
# via cftime
# via contourpy
# via dask
# via dlboost
# via einx
# via flox
# via h5py
# via imageio
# via jaxtyping
# via lightning
# via matplotlib
# via monai
# via nc-time-axis
# via netcdf4
# via numba
# via numbagg
# via numcodecs
# via numpy-groupies
# via opt-einsum
# via pandas
# via pyarrow
# via pytorch-lightning
# via scikit-learn
# via scipy
# via seaborn
# via torchmetrics
# via torchopt
# via xarray
# via zarr
numpy-groupies==0.11.1
# via flox
nvidia-cublas-cu12==12.1.3.1
# via nvidia-cudnn-cu12
# via nvidia-cusolver-cu12
# via torch
nvidia-cuda-cupti-cu12==12.1.105
# via torch
nvidia-cuda-nvrtc-cu12==12.1.105
# via torch
nvidia-cuda-runtime-cu12==12.1.105
# via torch
nvidia-cudnn-cu12==8.9.2.26
# via torch
nvidia-cufft-cu12==11.0.2.54
# via torch
nvidia-curand-cu12==10.3.2.106
# via torch
nvidia-cusolver-cu12==11.4.5.107
# via torch
nvidia-cusparse-cu12==12.1.0.106
# via nvidia-cusolver-cu12
# via torch
nvidia-nccl-cu12==2.20.5
# via torch
nvidia-nvjitlink-cu12==12.4.127
# via nvidia-cusolver-cu12
# via nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
# via torch
opt-einsum==3.3.0
# via xarray
optree==0.11.0
# via torchopt
packaging==24.0
# via bokeh
# via dask
# via distributed
# via flox
# via h5netcdf
# via lightning
# via lightning-utilities
# via matplotlib
# via pooch
# via pytest
# via pytorch-lightning
# via torchmetrics
# via xarray
pandas==2.2.2
# via bokeh
# via dask
# via dask-expr
# via flox
# via seaborn
# via xarray
partd==1.4.1
# via dask
pillow==10.3.0
# via bokeh
# via imageio
# via matplotlib
platformdirs==4.2.1
# via pooch
# via virtualenv
pluggy==1.5.0
# via pytest
plum-dispatch==2.3.5
# via dlboost
pooch==1.8.1
# via xarray
pre-commit==3.7.0
# via xarray
protobuf==4.25.3
# via wandb
psutil==5.9.8
# via distributed
# via wandb
pyarrow==16.0.0
# via dask
# via dask-expr
pyarrow-hotfix==0.6
# via dask
pygments==2.17.2
# via icecream
# via rich
pyparsing==3.1.2
# via matplotlib
pytest==8.2.0
# via pytest-cov
# via pytest-env
# via pytest-timeout
# via pytest-xdist
# via xarray
pytest-cov==5.0.0
# via xarray
pytest-env==1.1.3
# via xarray
pytest-timeout==2.3.1
# via xarray
pytest-xdist==3.6.1
# via xarray
python-dateutil==2.9.0.post0
# via matplotlib
# via pandas
pytorch-lightning==2.2.3
# via lightning
pytz==2024.1
# via pandas
pyyaml==6.0.1
# via bokeh
# via dask
# via distributed
# via lightning
# via pre-commit
# via pytorch-lightning
# via wandb
requests==2.31.0
# via pooch
# via wandb
rich==13.7.1
# via dlboost
# via plum-dispatch
ruff==0.4.2
# via xarray
scikit-learn==1.4.2
# via dlboost
scipy==1.13.0
# via dlboost
# via flox
# via scikit-learn
# via xarray
seaborn==0.13.2
# via xarray
sentry-sdk==2.0.1
# via wandb
setproctitle==1.3.3
# via wandb
setuptools==69.5.1
# via lightning-utilities
# via nodeenv
# via wandb
six==1.16.0
# via asttokens
# via docker-pycreds
# via python-dateutil
smmap==5.0.1
# via gitdb
sortedcontainers==2.4.0
# via distributed
# via hypothesis
sympy==1.12
# via einx
# via torch
tblib==3.0.0
# via distributed
threadpoolctl==3.5.0
# via scikit-learn
toolz==0.12.1
# via dask
# via distributed
# via flox
# via partd
torch==2.3.0
# via dlboost
# via lightning
# via monai
# via pytorch-lightning
# via torch-dct
# via torchmetrics
# via torchopt
torch-dct==0.1.6
# via dlboost
torchmetrics==1.3.2
# via lightning
# via pytorch-lightning
torchopt==0.7.3
# via dlboost
tornado==6.4
# via bokeh
# via distributed
tqdm==4.66.2
# via lightning
# via pytorch-lightning
triton==2.3.0
# via torch
typeguard==2.13.3
# via jaxtyping
typing-extensions==4.11.0
# via lightning
# via lightning-utilities
# via optree
# via pytorch-lightning
# via torch
# via torchopt
tzdata==2024.1
# via pandas
urllib3==2.2.1
# via distributed
# via requests
# via sentry-sdk
virtualenv==20.26.1
# via pre-commit
wandb==0.16.6
# via dlboost
xarray==2024.3.0
# via dlboost
xyzservices==2024.4.0
# via bokeh
yarl==1.9.4
# via aiohttp
zarr==2.17.2
# via xarray
zict==3.0.0
# via distributed
zipp==3.18.1
# via importlib-metadata