requirements-dev.lock

# 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
urllib3==2.2.3
    # via aiobotocore
    # via botocore
    # via docker
    # via dulwich
    # via lightly
    # via neptune
    # via requests
    # via sagemaker
    # via sentry-sdk
uvicorn==0.34.0
    # via sagemaker
vine==5.1.0
    # via amqp
    # via celery
    # via kombu
virtualenv==20.28.1
    # via pre-commit
voluptuous==0.15.2
    # via dvc
    # via dvc-studio-client
wandb==0.19.0
watchdog==6.0.0
    # via mkdocs
wcwidth==0.2.13
    # via cmd2
    # via prettytable
    # via prompt-toolkit
webcolors==24.11.1
    # via jsonschema
webencodings==0.5.1
    # via bleach
    # via tinycss2
websocket-client==1.8.0
    # via jupyter-server
    # via neptune
werkzeug==3.1.3
    # via tensorboard
wfdb==4.2.0
widgetsnbextension==4.0.13
    # via ipywidgets
wrapt==1.17.2
    # via aiobotocore
yarl==1.18.3
    # via aiohttp
zc-lockfile==3.0.post1
    # via dvc
zipp==3.21.0
    # via importlib-metadata