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requirements-dev.lock
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1049 lines (1048 loc) · 21.8 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
# generate-hashes: false
# universal: true
absl-py==2.1.0
# via tensorboard
aenum==3.1.15
# via lightly
aiobotocore==2.17.0
# via dvc-s3
# via s3fs
aiohappyeyeballs==2.4.4
# via aiohttp
aiohttp==3.11.9
# via aiobotocore
# via aiohttp-retry
# via fsspec
# via s3fs
aiohttp-retry==2.9.1
# via dvc-http
# via scmrepo
aioitertools==0.12.0
# via aiobotocore
aiosignal==1.3.1
# via aiohttp
alembic==1.14.0
# via optuna
amqp==5.3.1
# via kombu
annotated-types==0.7.0
# via pydantic
antlr4-python3-runtime==4.9.3
# via hydra-core
# via omegaconf
anyio==4.6.2.post1
# via httpx
# via jupyter-server
# via starlette
appdirs==1.4.4
# via iterative-telemetry
appnope==0.1.4 ; sys_platform == 'darwin'
# via ipykernel
argon2-cffi==23.1.0
# via jupyter-server
argon2-cffi-bindings==21.2.0
# via argon2-cffi
arrow==1.3.0
# via isoduration
asttokens==3.0.0
# via stack-data
async-lru==2.0.4
# via jupyterlab
asyncssh==2.19.0
# via scmrepo
# via sshfs
atpublic==5.0
# via flufl-lock
attrs==23.2.0
# via aiohttp
# via dvc
# via dvc-data
# via jsonschema
# via referencing
# via sagemaker
# via sqltrie
autopage==0.5.2
# via cliff
babel==2.16.0
# via jupyterlab-server
# via mkdocs-material
bcrypt==4.3.0
# via asyncssh
beautifulsoup4==4.12.3
# via nbconvert
billiard==4.2.1
# via celery
bleach==6.2.0
# via nbconvert
boto3==1.35.85
# via aiobotocore
# via neptune
# via sagemaker
# via sagemaker-core
botocore==1.35.85
# via aiobotocore
# via boto3
# via s3transfer
bravado==11.0.3
# via neptune
bravado-core==6.1.1
# via bravado
celery==5.4.0
# via dvc
# via dvc-task
certifi==2024.8.30
# via httpcore
# via httpx
# via lightly
# via requests
# via sentry-sdk
cffi==1.17.1
# via argon2-cffi-bindings
# via cryptography
# via pygit2
# via pyzmq
# via soundfile
cfgv==3.4.0
# via pre-commit
charset-normalizer==3.4.0
# via requests
click==8.1.7
# via celery
# via click-didyoumean
# via click-plugins
# via click-repl
# via mkdocs
# via mkdocstrings
# via neptune
# via typer
# via uvicorn
# via wandb
click-didyoumean==0.3.1
# via celery
click-plugins==1.1.1
# via celery
click-repl==0.3.0
# via celery
cliff==4.8.0
# via optuna
cloudpickle==3.1.1
# via sagemaker
cmaes==0.11.1
# via optuna
cmd2==2.5.8
# via cliff
colorama==0.4.6
# via click
# via colorlog
# via dvc
# via griffe
# via ipython
# via mkdocs
# via mkdocs-material
# via pytest
# via tqdm
colorlog==6.9.0
# via hydra-colorlog
# via optuna
comm==0.2.2
# via ipykernel
# via ipywidgets
configobj==5.0.9
# via dvc
contourpy==1.3.1
# via matplotlib
cryptography==44.0.0
# via asyncssh
cycler==0.12.1
# via matplotlib
debugpy==1.8.9
# via ipykernel
decorator==5.1.1
# via ipython
defusedxml==0.7.1
# via nbconvert
dictdiffer==0.9.0
# via dvc-data
dill==0.3.9
# via multiprocess
# via pathos
diskcache==5.6.3
# via dvc-data
distlib==0.3.9
# via virtualenv
distro==1.9.0
# via dvc
# via iterative-telemetry
docker==7.1.0
# via sagemaker
docker-pycreds==0.4.0
# via wandb
dpath==2.2.0
# via dvc
dulwich==0.22.7
# via dvc
# via dvc-studio-client
# via scmrepo
dvc==3.59.0
# via dvc-s3
# via dvc-ssh
dvc-data==3.16.8
# via dvc
dvc-http==2.32.0
# via dvc
dvc-objects==5.1.0
# via dvc
# via dvc-data
dvc-render==1.0.2
# via dvc
dvc-s3==3.2.0
# via dvc
dvc-ssh==4.2.1
dvc-studio-client==0.21.0
# via dvc
dvc-task==0.40.2
# via dvc
entrypoints==0.4
# via gto
executing==2.1.0
# via stack-data
fastapi==0.115.6
# via sagemaker
fastjsonschema==2.21.1
# via nbformat
filelock==3.16.1
# via iterative-telemetry
# via torch
# via triton
# via virtualenv
flatten-dict==0.4.2
# via dvc
# via dvc-s3
flufl-lock==8.1.0
# via dvc
fonttools==4.55.1
# via matplotlib
fqdn==1.5.1
# via jsonschema
frozenlist==1.5.0
# via aiohttp
# via aiosignal
fsspec==2024.10.0
# via dvc
# via dvc-data
# via dvc-http
# via dvc-objects
# via lightning
# via pytorch-lightning
# via s3fs
# via scmrepo
# via sshfs
# via torch
funcy==2.0
# via dvc
# via dvc-task
# via gto
# via scmrepo
future==1.0.0
# via neptune
ghp-import==2.1.0
# via mkdocs
gitdb==4.0.11
# via gitpython
gitpython==3.1.43
# via neptune
# via scmrepo
# via wandb
gnureadline==8.2.13 ; sys_platform == 'darwin'
# via cmd2
google-pasta==0.2.0
# via sagemaker
grad-cam==1.5.4
grandalf==0.8
# via dvc
greenlet==3.1.1 ; (python_full_version < '3.13' and platform_machine == 'AMD64') or (python_full_version < '3.13' and platform_machine == 'WIN32') or (python_full_version < '3.13' and platform_machine == 'aarch64') or (python_full_version < '3.13' and platform_machine == 'amd64') or (python_full_version < '3.13' and platform_machine == 'ppc64le') or (python_full_version < '3.13' and platform_machine == 'win32') or (python_full_version < '3.13' and platform_machine == 'x86_64')
# via sqlalchemy
griffe==1.5.4
# via mkdocstrings-python
grpcio==1.68.1
# via tensorboard
gto==1.7.2
# via dvc
h11==0.14.0
# via httpcore
# via uvicorn
h5py==3.12.1
httpcore==1.0.7
# via httpx
httpx==0.28.0
# via jupyterlab
hydra-colorlog==1.2.0
hydra-core==1.3.2
# via dvc
# via hydra-colorlog
# via hydra-optuna-sweeper
# via lightly
hydra-optuna-sweeper==1.2.0
identify==2.6.4
# via pre-commit
idna==3.10
# via anyio
# via httpx
# via jsonschema
# via requests
# via yarl
imageio==2.36.1
importlib-metadata==6.11.0
# via sagemaker
# via sagemaker-core
importlib-resources==6.4.5
# via swagger-spec-validator
iniconfig==2.0.0
# via pytest
ipykernel==6.29.5
# via jupyter
# via jupyter-console
# via jupyterlab
ipython==8.30.0
# via ipykernel
# via ipywidgets
# via jupyter-console
ipywidgets==8.1.5
# via jupyter
isoduration==20.11.0
# via jsonschema
iterative-telemetry==0.0.9
# via dvc
jedi==0.19.2
# via ipython
jinja2==3.1.4
# via jupyter-server
# via jupyterlab
# via jupyterlab-server
# via mkdocs
# via mkdocs-material
# via mkdocstrings
# via nbconvert
# via torch
jmespath==1.0.1
# via aiobotocore
# via boto3
# via botocore
joblib==1.4.2
# via pynndescent
# via scikit-learn
json5==0.10.0
# via jupyterlab-server
jsonpointer==3.0.0
# via jsonschema
jsonref==1.1.0
# via bravado-core
jsonschema==4.23.0
# via bravado-core
# via jupyter-events
# via jupyterlab-server
# via nbformat
# via sagemaker
# via sagemaker-core
# via swagger-spec-validator
jsonschema-specifications==2024.10.1
# via jsonschema
jupyter==1.1.1
jupyter-client==8.6.3
# via ipykernel
# via jupyter-console
# via jupyter-server
# via nbclient
jupyter-console==6.6.3
# via jupyter
jupyter-core==5.7.2
# via ipykernel
# via jupyter-client
# via jupyter-console
# 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==2.14.2
# via jupyter-lsp
# via jupyterlab
# via jupyterlab-server
# via notebook
# via notebook-shim
jupyter-server-terminals==0.5.3
# via jupyter-server
jupyterlab==4.3.2
# via jupyter
# via notebook
jupyterlab-pygments==0.3.0
# via nbconvert
jupyterlab-server==2.27.3
# via jupyterlab
# via notebook
jupyterlab-widgets==3.0.13
# via ipywidgets
kiwisolver==1.4.7
# via matplotlib
kombu==5.4.2
# via celery
# via dvc
# via dvc-task
lightly==1.5.15
lightly-utils==0.0.2
# via lightly
lightning==2.4.0
lightning-bolts==0.7.0
lightning-utilities==0.11.9
# via lightning
# via lightning-bolts
# via pytorch-lightning
# via torchmetrics
llvmlite==0.43.0
# via numba
# via pynndescent
mako==1.3.8
# via alembic
markdown==3.7
# via mkdocs
# via mkdocs-autorefs
# via mkdocs-material
# via mkdocstrings
# via pymdown-extensions
# via tensorboard
markdown-it-py==3.0.0
# via rich
markupsafe==3.0.2
# via jinja2
# via mako
# via mkdocs
# via mkdocs-autorefs
# via mkdocstrings
# via nbconvert
# via werkzeug
matplotlib==3.9.3
# via grad-cam
# via seaborn
# via wfdb
matplotlib-inline==0.1.7
# via ipykernel
# via ipython
mdurl==0.1.2
# via markdown-it-py
mergedeep==1.3.4
# via mkdocs
# via mkdocs-get-deps
mistune==3.0.2
# via nbconvert
mkdocs==1.6.1
# via mkdocs-autorefs
# via mkdocs-material
# via mkdocstrings
mkdocs-autorefs==1.3.0
# via mkdocstrings
# via mkdocstrings-python
mkdocs-get-deps==0.2.0
# via mkdocs
mkdocs-material==9.5.49
mkdocs-material-extensions==1.3.1
# via mkdocs-material
mkdocstrings==0.27.0
# via mkdocstrings-python
mkdocstrings-python==1.13.0
mock==4.0.3
# via sagemaker-core
monotonic==1.6
# via bravado
mpmath==1.3.0
# via sympy
msgpack==1.1.0
# via bravado
# via bravado-core
multidict==6.1.0
# via aiobotocore
# via aiohttp
# via yarl
multiprocess==0.70.17
# via pathos
nbclient==0.10.1
# via nbconvert
nbconvert==7.16.4
# via jupyter
# via jupyter-server
nbformat==5.10.4
# via jupyter-server
# via nbclient
# via nbconvert
neptune==1.13.0
nest-asyncio==1.6.0
# via ipykernel
networkx==3.4.2
# via dvc
# via torch
nibabel==5.3.2
nodeenv==1.9.1
# via pre-commit
notebook==7.3.1
# via jupyter
notebook-shim==0.2.4
# via jupyterlab
# via notebook
numba==0.60.0
# via pynndescent
# via umap-learn
numpy==1.26.4
# via cmaes
# via contourpy
# via grad-cam
# via h5py
# via imageio
# via lightly
# via lightly-utils
# via lightning-bolts
# via matplotlib
# via nibabel
# via numba
# via opencv-python
# via optuna
# via pandas
# via pytorch-lightning
# via sagemaker
# via scikit-learn
# via scipy
# via seaborn
# via soundfile
# via tensorboard
# via torchmetrics
# via torchvision
# via umap-learn
# via wfdb
nvidia-cublas-cu12==12.1.3.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via nvidia-cudnn-cu12
# via nvidia-cusolver-cu12
# via torch
nvidia-cuda-cupti-cu12==12.1.105 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cuda-nvrtc-cu12==12.1.105 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cuda-runtime-cu12==12.1.105 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cudnn-cu12==9.1.0.70 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cufft-cu12==11.0.2.54 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-curand-cu12==10.3.2.106 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cusolver-cu12==11.4.5.107 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cusparse-cu12==12.1.0.106 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via nvidia-cusolver-cu12
# via torch
nvidia-nccl-cu12==2.20.5 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-nvjitlink-cu12==12.6.85 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via nvidia-cusolver-cu12
# via nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
oauthlib==3.2.2
# via neptune
# via requests-oauthlib
omegaconf==2.2.3
# via dvc
# via hydra-core
# via sagemaker
opencv-python==4.11.0.86
# via grad-cam
optuna==2.10.1
# via hydra-optuna-sweeper
orjson==3.10.15 ; implementation_name == 'cpython'
# via dvc-data
# via sqltrie
overrides==7.7.0
# via jupyter-server
packaging==24.2
# via dvc
# via hydra-core
# via ipykernel
# via jupyter-server
# via jupyterlab
# via jupyterlab-server
# via lightning
# via lightning-utilities
# via matplotlib
# via mkdocs
# via nbconvert
# via neptune
# via nibabel
# via optuna
# via plotly
# via pytest
# via pytorch-lightning
# via sagemaker
# via tensorboard
# via torchmetrics
paginate==0.5.7
# via mkdocs-material
pandas==2.2.3
# via neptune
# via sagemaker
# via seaborn
# via wfdb
pandocfilters==1.5.1
# via nbconvert
parso==0.8.4
# via jedi
pathos==0.3.3
# via sagemaker
pathspec==0.12.1
# via dvc
# via mkdocs
# via scmrepo
pbr==6.1.0
# via stevedore
pexpect==4.9.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
# via ipython
pillow==11.0.0
# via grad-cam
# via imageio
# via lightly-utils
# via matplotlib
# via neptune
# via torchvision
platformdirs==4.3.6
# via dvc
# via jupyter-core
# via mkdocs-get-deps
# via mkdocstrings
# via sagemaker
# via sagemaker-core
# via virtualenv
# via wandb
plotly==5.24.1
pluggy==1.5.0
# via pytest
pox==0.3.5
# via pathos
ppft==1.7.6.9
# via pathos
pre-commit==4.0.1
prettytable==3.12.0
# via cliff
prometheus-client==0.21.1
# via jupyter-server
prompt-toolkit==3.0.48
# via click-repl
# via ipython
# via jupyter-console
propcache==0.2.1
# via aiohttp
# via yarl
protobuf==3.20.3
# via sagemaker
# via tensorboard
# via wandb
psutil==6.1.0
# via dvc
# via flufl-lock
# via ipykernel
# via neptune
# via sagemaker
# via wandb
ptyprocess==0.7.0 ; os_name != 'nt' or (sys_platform != 'emscripten' and sys_platform != 'win32')
# via pexpect
# via terminado
pure-eval==0.2.3
# via stack-data
pycparser==2.22
# via cffi
pydantic==2.10.3
# via fastapi
# via gto
# via lightly
# via sagemaker-core
# via wandb
pydantic-core==2.27.1
# via pydantic
pydot==3.0.4
# via dvc
pygit2==1.17.0
# via scmrepo
pygments==2.18.0
# via ipython
# via jupyter-console
# via mkdocs-material
# via nbconvert
# via rich
pygtrie==2.5.0
# via dvc
# via dvc-data
# via scmrepo
# via sqltrie
pyjwt==2.10.1
# via neptune
pymdown-extensions==10.13
# via mkdocs-material
# via mkdocstrings
pynndescent==0.5.13
# via umap-learn
pyparsing==3.2.0
# via dvc
# via grandalf
# via matplotlib
# via pydot
pyperclip==1.9.0
# via cmd2
pyreadline3==3.5.4 ; sys_platform == 'win32'
# via cmd2
pytest==8.3.4
python-dateutil==2.9.0.post0
# via aiobotocore
# via arrow
# via botocore
# via bravado
# via bravado-core
# via celery
# via ghp-import
# via jupyter-client
# via lightly
# via matplotlib
# via pandas
python-dotenv==1.0.1
# via rootutils
python-json-logger==2.0.7
# via jupyter-events
pytorch-lightning==1.9.5
# via lightly
# via lightning
# via lightning-bolts
pytz==2024.2
# via bravado-core
# via pandas
pywin32==308 ; sys_platform == 'win32'
# via docker
# via dvc-task
# via jupyter-core
pywinpty==2.0.14 ; os_name == 'nt' and sys_platform != 'darwin' and sys_platform != 'linux'
# via jupyter-server
# via jupyter-server-terminals
# via terminado
pyyaml==6.0.2
# via bravado
# via bravado-core
# via cliff
# via jupyter-events
# via lightning
# via mkdocs
# via mkdocs-get-deps
# via omegaconf
# via optuna
# via pre-commit
# via pymdown-extensions
# via pytorch-lightning
# via pyyaml-env-tag
# via sagemaker
# via sagemaker-core
# via swagger-spec-validator
# via wandb
pyyaml-env-tag==0.1
# via mkdocs
pyzmq==26.2.0
# via ipykernel
# via jupyter-client
# via jupyter-console
# via jupyter-server
referencing==0.35.1
# via jsonschema
# via jsonschema-specifications
# via jupyter-events
regex==2024.11.6
# via mkdocs-material
requests==2.32.3
# via bravado
# via bravado-core
# via docker
# via dvc
# via dvc-studio-client
# via iterative-telemetry
# via jupyterlab-server
# via lightly
# via mkdocs-material
# via neptune
# via requests-oauthlib
# via sagemaker
# via wandb
# via wfdb
requests-oauthlib==2.0.0
# via neptune
rfc3339-validator==0.1.4
# via jsonschema
# via jupyter-events
rfc3986-validator==0.1.1
# via jsonschema
# via jupyter-events
rich==13.9.4
# via dvc
# via gto
# via sagemaker-core
# via typer
rootutils==1.0.7
rpds-py==0.22.3
# via jsonschema
# via referencing
ruamel-yaml==0.18.10
# via dvc
# via gto
ruamel-yaml-clib==0.2.12 ; python_full_version < '3.13' and platform_python_implementation == 'CPython'
# via ruamel-yaml
s3fs==2024.10.0
# via dvc-s3
s3transfer==0.10.4
# via boto3
sagemaker==2.237.3
sagemaker-core==1.0.17
# via sagemaker
schema==0.7.7
# via sagemaker
scikit-learn==1.5.2
# via grad-cam
# via pynndescent
# via umap-learn
scipy==1.15.1
# via optuna
# via pynndescent
# via scikit-learn
# via umap-learn
# via wfdb
scmrepo==3.3.9
# via dvc
# via gto
seaborn==0.13.2
semver==3.0.2
# via gto
send2trash==1.8.3
# via jupyter-server
sentry-sdk==2.19.2
# via wandb
setproctitle==1.3.4
# via wandb
setuptools==75.6.0
# via jupyterlab
# via lightning-utilities
# via neptune
# via tensorboard
# via torch
# via wandb
# via zc-lockfile
shellingham==1.5.4
# via typer
shortuuid==1.0.13
# via dvc
# via dvc-task
shtab==1.7.1
# via dvc
simplejson==3.19.3
# via bravado
# via bravado-core
six==1.17.0
# via bravado
# via bravado-core
# via docker-pycreds
# via flatten-dict
# via google-pasta
# via lightly
# via neptune
# via python-dateutil
# via rfc3339-validator
# via tensorboard
smdebug-rulesconfig==1.0.1
# via sagemaker
smmap==5.0.1
# via gitdb
sniffio==1.3.1
# via anyio
soundfile==0.13.1
# via wfdb
soupsieve==2.6
# via beautifulsoup4
sqlalchemy==2.0.36
# via alembic
# via optuna
sqltrie==0.11.1
# via dvc-data
sshfs==2025.2.0
# via dvc-ssh
stack-data==0.6.3
# via ipython
starlette==0.41.3
# via fastapi
stevedore==5.4.0
# via cliff
swagger-spec-validator==3.0.4
# via bravado-core
# via neptune
sympy==1.13.3
# via torch
tabulate==0.9.0
# via dvc
# via gto
tblib==3.0.0
# via sagemaker
tenacity==9.0.0
# via plotly
tensorboard==2.18.0
# via lightning-bolts
tensorboard-data-server==0.7.2
# via tensorboard
terminado==0.18.1
# via jupyter-server
# via jupyter-server-terminals
threadpoolctl==3.5.0
# via scikit-learn
timm @ git+https://github.com/oetu/pytorch-image-models/@779b8e214c95c1a672d0fffd0b25538d8bcf0fe7
tinycss2==1.4.0
# via nbconvert
tomlkit==0.13.2
# via dvc
torch==2.4.0
# via grad-cam
# via lightly
# via lightning
# via pytorch-lightning
# via timm
# via torchmetrics
# via torchvision
torchmetrics==1.6.0
# via lightning
# via lightning-bolts
# via pytorch-lightning
torchvision==0.19.0
# via grad-cam
# via lightly
# via lightning-bolts
# via timm
tornado==6.4.2
# via ipykernel
# via jupyter-client
# via jupyter-server
# via jupyterlab
# via notebook
# via terminado
tqdm==4.67.1
# via dvc
# via dvc-data
# via fsspec
# via grad-cam
# via lightly
# via lightning
# via optuna
# via pytorch-lightning
# via sagemaker
# via scmrepo
# via umap-learn
traitlets==5.14.3
# via comm
# via ipykernel
# via ipython
# via ipywidgets
# via jupyter-client
# via jupyter-console
# via jupyter-core
# via jupyter-events
# via jupyter-server
# via jupyterlab
# via matplotlib-inline
# via nbclient
# via nbconvert
# via nbformat
triton==3.0.0 ; python_full_version < '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
ttach==0.0.3
# via grad-cam
typer==0.15.1
# via gto
types-python-dateutil==2.9.0.20241003
# via arrow
typing-extensions==4.12.2
# via alembic
# via asyncssh
# via bravado
# via fastapi
# via lightning
# via lightning-utilities
# via neptune
# via nibabel
# via pydantic
# via pydantic-core
# via pytorch-lightning
# via sqlalchemy
# via swagger-spec-validator
# via torch
# via typer
tzdata==2024.2
# via celery
# via kombu
# via pandas
umap-learn==0.5.7
uri-template==1.3.0
# via jsonschema