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requirements-dev.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
# generate-hashes: false
# universal: false
-e file:artagents
-e file:cli
absl-py==2.1.0
# via tensorboard
aenum==3.1.15
# via lightly
aiobotocore==2.14.0
# via s3fs
aiohappyeyeballs==2.4.0
# via aiohttp
aiohttp==3.10.5
# via aiobotocore
# via aiohttp-retry
# via dapr
# via datasets
# via fsspec
# via s3fs
aiohttp-retry==2.8.3
# via dvc-http
# via scmrepo
aioitertools==0.12.0
# via aiobotocore
aiosignal==1.3.1
# via aiohttp
# via ray
alembic==1.13.2
# via optuna
amqp==5.2.0
# via kombu
annotated-types==0.7.0
# via pydantic
antlr4-python3-runtime==4.9.3
# via hydra-core
# via omegaconf
anyio==4.4.0
# via httpx
# via jupyter-server
appdirs==1.4.4
# via iterative-telemetry
argon2-cffi==23.1.0
# via jupyter-server
argon2-cffi-bindings==21.2.0
# via argon2-cffi
arrow==1.3.0
# via isoduration
asttokens==2.4.1
# via stack-data
async-lru==2.0.4
# via jupyterlab
asyncssh==2.17.0
# via scmrepo
atpublic==5.0
# via flufl-lock
attrs==24.2.0
# via aiohttp
# via clearml
# via cmd2
# via dvc
# via dvc-data
# via jsonschema
# via referencing
# via sqltrie
autopage==0.5.2
# via cliff
babel==2.16.0
# via jupyterlab-server
beautifulsoup4==4.12.3
# via nbconvert
billiard==4.2.0
# via celery
bleach==6.1.0
# via nbconvert
boost-histogram==1.5.0
# via hist
boto3==1.35.7
# via s3path
botocore==1.35.7
# via aiobotocore
# via boto3
# via s3transfer
bottleneck==1.4.0
captum==0.7.0
celery==5.4.0
# via dvc
# via dvc-task
certifi==2024.8.30
# via httpcore
# via httpx
# via lightly
# via pinecone-client
# via requests
cffi==1.17.0
# via argon2-cffi-bindings
# via cryptography
# via pygit2
cfgv==3.4.0
# via pre-commit
charset-normalizer==3.3.2
# via requests
clearml==1.16.4
click==8.1.7
# via celery
# via click-didyoumean
# via click-plugins
# via click-repl
# via histoprint
# via ray
# via typer
click-didyoumean==0.3.1
# via celery
click-plugins==1.1.1
# via celery
click-repl==0.3.0
# via celery
cliff==4.7.0
# via optuna
cloudevents==1.11.0
# via dapr-ext-grpc
cmaes==0.11.1
# via optuna
cmd2==2.4.3
# via cliff
colorama==0.4.6
# via dvc
colorlog==6.8.2
# via hydra-colorlog
# via optuna
comm==0.2.2
# via ipykernel
# via ipywidgets
configobj==5.0.8
# via dvc
contourpy==1.3.0
# via matplotlib
coverage==7.6.1
# via pytest-cov
cramjam==2.8.3
# via fastparquet
cryptography==43.0.1
# via asyncssh
cycler==0.12.1
# via matplotlib
dapr==1.14.0
# via dapr-ext-grpc
dapr-ext-grpc==1.14.0
datasets==2.21.0
debugpy==1.8.5
# via ipykernel
decorator==5.1.1
# via ipython
defusedxml==0.7.1
# via nbconvert
deprecation==2.1.0
# via cloudevents
dictdiffer==0.9.0
# via dvc-data
dill==0.3.8
# via datasets
# via multiprocess
diskcache==5.6.3
# via dvc-data
distlib==0.3.8
# via virtualenv
distro==1.9.0
# via dvc
# via iterative-telemetry
dpath==2.2.0
# via dvc
dulwich==0.22.1
# via dvc
# via dvc-studio-client
# via scmrepo
dvc==3.55.2
# via dvclive
dvc-data==3.16.5
# 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
# via dvclive
dvc-studio-client==0.21.0
# via dvc
# via dvclive
dvc-task==0.4.0
# via dvc
dvclive==3.48.0
entrypoints==0.4
# via gto
executing==2.1.0
# via stack-data
fastjsonschema==2.20.0
# via nbformat
fastparquet==2024.5.0
filelock==3.15.4
# via datasets
# via huggingface-hub
# via iterative-telemetry
# via ray
# via torch
# via triton
# via virtualenv
flatten-dict==0.4.2
# via dvc
flufl-lock==8.1.0
# via dvc
fonttools==4.53.1
# via matplotlib
fqdn==1.5.1
# via jsonschema
frozenlist==1.4.1
# via aiohttp
# via aiosignal
# via ray
fsspec==2024.6.0
# via datasets
# via dvc
# via dvc-data
# via dvc-http
# via dvc-objects
# via fastparquet
# via huggingface-hub
# via lightning
# via pytorch-lightning
# via s3fs
# via scmrepo
# via torch
funcy==2.0
# via dvc
# via dvc-data
# via dvc-objects
# via dvc-task
# via dvclive
# via gto
# via scmrepo
furl==2.1.3
# via clearml
geographiclib==2.0
# via geopy
geopy==2.4.1
gitdb==4.0.11
# via gitpython
gitpython==3.1.43
# via scmrepo
googleapis-common-protos==1.65.0
# via grpcio-status
grandalf==0.8
# via dvc
graphviz==0.20.3
# via torchviz
greenlet==3.0.3
# via sqlalchemy
grpcio==1.66.1
# via dapr
# via grpcio-status
# via grpcio-tools
# via tensorboard
grpcio-status==1.66.1
# via dapr
grpcio-tools==1.64.1
gto==1.7.1
# via dvc
# via dvclive
h11==0.14.0
# via httpcore
hist==2.8.0
histoprint==2.4.0
# via hist
httpcore==1.0.5
# via httpx
httpx==0.27.2
# via jupyterlab
huggingface-hub==0.24.6
# via datasets
# via timm
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==2.6.0
# via pre-commit
idna==3.8
# via anyio
# via httpx
# via jsonschema
# via requests
# via yarl
imageio==2.35.1
# via scikit-image
iniconfig==2.0.0
# via pytest
ipykernel==6.29.5
# via jupyter
# via jupyter-console
# via jupyterlab
ipython==8.27.0
# via ipykernel
# via ipywidgets
# via jupyter-console
ipywidgets==8.1.5
# via jupyter
isoduration==20.11.0
# via jsonschema
iterative-telemetry==0.0.8
# via dvc
jedi==0.19.1
# via ipython
jinja2==3.1.4
# via jupyter-server
# via jupyterlab
# via jupyterlab-server
# via nbconvert
# via torch
jmespath==1.0.1
# via boto3
# via botocore
joblib==1.4.2
# via pynndescent
# via scikit-learn
json5==0.9.25
# via jupyterlab-server
jsonpointer==3.0.0
# via jsonschema
jsonschema==4.23.0
# via clearml
# via jupyter-events
# via jupyterlab-server
# via nbformat
# via ray
jsonschema-specifications==2023.12.1
# via jsonschema
jupyter==1.1.1
jupyter-client==8.6.2
# 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==4.2.5
# via jupyter
# via notebook
jupyterlab-pygments==0.3.0
# via nbconvert
jupyterlab-quarto==0.3.5
jupyterlab-server==2.27.3
# via jupyterlab
# via notebook
jupyterlab-widgets==3.0.13
# via ipywidgets
kiwisolver==1.4.7
# via matplotlib
kombu==5.4.0
# via celery
# via dvc
# via dvc-task
lazy-loader==0.4
# via scikit-image
lightly==1.5.12
lightly-utils==0.0.2
# via lightly
lightning==2.4.0
lightning-utilities==0.11.7
# via lightning
# via pytorch-lightning
# via torchmetrics
llvmlite==0.43.0
# via numba
# via pynndescent
mako==1.3.5
# via alembic
markdown==3.7
# via tensorboard
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.5
# via jinja2
# via mako
# via nbconvert
# via werkzeug
matplotlib==3.9.2
# via captum
# via hist
# via mplhep
# via pycocotools
# via seaborn
matplotlib-inline==0.1.7
# via ipykernel
# via ipython
mdurl==0.1.2
# via markdown-it-py
mistune==3.0.2
# via nbconvert
mplhep==0.3.51
# via hist
mplhep-data==0.0.3
# via mplhep
mpmath==1.3.0
# via sympy
msgpack==1.0.8
# via ray
multidict==6.0.5
# via aiohttp
# via yarl
multiprocess==0.70.16
# via datasets
nats-py==2.9.0
nbclient==0.10.0
# via nbconvert
nbconvert==7.16.4
# via jupyter
# via jupyter-server
nbformat==5.10.4
# via jupyter-server
# via nbclient
# via nbconvert
nest-asyncio==1.6.0
# via ipykernel
networkx==3.3
# via dvc
# via scikit-image
# via torch
nodeenv==1.9.1
# via pre-commit
notebook==7.2.2
# via jupyter
notebook-shim==0.2.4
# via jupyterlab
# via notebook
numba==0.60.0
# via pynndescent
# via umap-learn
numexpr==2.10.1
numpy==2.0.2
# via boost-histogram
# via bottleneck
# via captum
# via clearml
# via cmaes
# via contourpy
# via datasets
# via fastparquet
# via hist
# via histoprint
# via imageio
# via lightly
# via lightly-utils
# via matplotlib
# via mplhep
# via numba
# via numexpr
# via opencv-python-headless
# via optuna
# via pandas
# via pyarrow
# via pycocotools
# via scikit-image
# via scikit-learn
# via scipy
# via seaborn
# via tensorboard
# via tensorboard-logger
# via tifffile
# via torchmetrics
# via torchvision
# via uhi
# via umap-learn
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==9.1.0.70
# 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==12.6.68
# via nvidia-cusolver-cu12
# via nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
# via torch
omegaconf==2.3.0
# via dvc
# via hydra-core
opencv-python-headless==4.10.0.84
optuna==2.10.1
# via hydra-optuna-sweeper
orderedmultidict==1.0.1
# via furl
orjson==3.10.7
# via dvc-data
# via sqltrie
overrides==7.7.0
# via jupyter-server
packaging==24.1
# via datasets
# via deprecation
# via dvc
# via fastparquet
# via huggingface-hub
# via hydra-core
# via ipykernel
# via jupyter-server
# via jupyterlab
# via jupyterlab-server
# via lazy-loader
# via lightning
# via lightning-utilities
# via matplotlib
# via mplhep
# via nbconvert
# via optuna
# via pytest
# via pytorch-lightning
# via ray
# via scikit-image
# via torchmetrics
pandas==2.2.2
# via datasets
# via fastparquet
# via seaborn
pandocfilters==1.5.1
# via nbconvert
parso==0.8.4
# via jedi
pathlib2==2.3.7.post1
# via clearml
pathspec==0.12.1
# via dvc
# via scmrepo
pbr==6.1.0
# via stevedore
pexpect==4.9.0
# via ipython
pillow==10.4.0
# via clearml
# via imageio
# via lightly-utils
# via matplotlib
# via scikit-image
# via tensorboard-logger
# via torchvision
pinecone-client==5.0.1
pinecone-plugin-inference==1.0.3
# via pinecone-client
pinecone-plugin-interface==0.0.7
# via pinecone-client
# via pinecone-plugin-inference
platformdirs==3.11.0
# via dvc
# via jupyter-core
# via virtualenv
pluggy==1.5.0
# via pytest
pre-commit==3.8.0
prettytable==3.11.0
# via cliff
prometheus-client==0.20.0
# via jupyter-server
prompt-toolkit==3.0.47
# via click-repl
# via ipython
# via jupyter-console
protobuf==5.28.0
# via dapr
# via googleapis-common-protos
# via grpcio-status
# via grpcio-tools
# via ray
# via tensorboard
# via tensorboard-logger
psutil==6.0.0
# via clearml
# via dvc
# via dvclive
# via flufl-lock
# via ipykernel
ptyprocess==0.7.0
# via pexpect
# via terminado
pure-eval==0.2.3
# via stack-data
pyarrow==17.0.0
# via datasets
pycocotools==2.0.8
pycparser==2.22
# via cffi
pydantic==2.8.2
# via gto
# via lightly
pydantic-core==2.20.1
# via pydantic
pydot==3.0.1
# via dvc
pygit2==1.15.1
# via scmrepo
pygments==2.18.0
# via ipython
# via jupyter-console
# via nbconvert
# via rich
pygtrie==2.5.0
# via dvc
# via dvc-data
# via scmrepo
# via sqltrie
pyjwt==2.8.0
# via clearml
pynndescent==0.5.13
# via umap-learn
pynvml==11.5.3
# via dvclive
pyparsing==3.1.4
# via clearml
# via dvc
# via grandalf
# via matplotlib
# via pydot
pyperclip==1.9.0
# via cmd2
pytest==8.3.2
# via pytest-check
# via pytest-cov
pytest-check==2.4.1
pytest-cov==5.0.0
python-dateutil==2.9.0.post0
# via arrow
# via botocore
# via celery
# via clearml
# via dapr
# 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==2.4.0
# via lightly
# via lightning
pytz==2024.1
# via pandas
pyyaml==6.0.2
# via clearml
# via cliff
# via datasets
# via huggingface-hub
# via jupyter-events
# via lightning
# via omegaconf
# via optuna
# via pre-commit
# via pytorch-lightning
# via ray
# via timm
pyzmq==26.2.0
# via ipykernel
# via jupyter-client
# via jupyter-console
# via jupyter-server
ray==2.35.0
referencing==0.35.1
# via clearml
# via jsonschema
# via jsonschema-specifications
# via jupyter-events
requests==2.32.3
# via clearml
# via datasets
# via dvc
# via dvc-studio-client
# via huggingface-hub
# via iterative-telemetry
# via jupyterlab-server
# via lightly
# via ray
rfc3339-validator==0.1.4
# via jsonschema
# via jupyter-events
rfc3986-validator==0.1.1
# via jsonschema
# via jupyter-events
rich==13.8.0
# via dvc
# via gto
# via typer
rootutils==1.0.7
rpds-py==0.20.0
# via jsonschema
# via referencing
ruamel-yaml==0.18.6
# via dvc
# via dvclive
# via gto
ruamel-yaml-clib==0.2.8
# via ruamel-yaml
ruff==0.6.3
s3fs==2024.6.0
s3path==0.5.8
s3torchconnector==1.2.4
s3torchconnectorclient==1.2.4
# via s3torchconnector
s3transfer==0.10.2
# via boto3
safetensors==0.4.4
# via timm
scikit-image==0.24.0
scikit-learn==1.5.1
# via pynndescent
# via umap-learn
scipy==1.14.1
# via optuna
# via pynndescent
# via scikit-image
# via scikit-learn
# via tensorboard-logger
# via umap-learn
scmrepo==3.3.7
# via dvc
# via dvclive
# via gto
seaborn==0.13.2
semver==3.0.2
# via gto
send2trash==1.8.3
# via jupyter-server
setuptools==74.1.1
# via grpcio-tools
# via jupyterlab
# via lightning-utilities
# via tensorboard
# via zc-lockfile
shellingham==1.5.4
# via typer
shortuuid==1.0.13
# via dvc
# via dvc-task
shtab==1.7.1
# via dvc
six==1.16.0
# via asttokens
# via bleach
# via clearml
# via configobj
# via flatten-dict
# via furl
# via lightly
# via orderedmultidict
# via pathlib2
# via python-dateutil
# via rfc3339-validator
# via tensorboard
# via tensorboard-logger
smart-open==7.0.4
# via s3path
smmap==5.0.1
# via gitdb
sniffio==1.3.1
# via anyio
# via httpx
soupsieve==2.6
# via beautifulsoup4
sqlalchemy==2.0.34
# via alembic
# via optuna
sqltrie==0.11.1
# via dvc-data
stack-data==0.6.3
# via ipython
stevedore==5.3.0
# via cliff
sympy==1.13.2
# via torch
tabulate==0.9.0
# via dvc
# via gto
tensorboard==2.16.2
tensorboard-data-server==0.7.2
# via tensorboard
tensorboard-logger==0.1.0
terminado==0.18.1
# via jupyter-server
# via jupyter-server-terminals
threadpoolctl==3.5.0
# via scikit-learn
tifffile==2024.8.30
# via scikit-image
timm==1.0.9
tinycss2==1.3.0
# via nbconvert
toml==0.10.2
tomlkit==0.13.2
# via dvc
torch==2.4.0
# via captum
# via lightly
# via lightning
# via pytorch-lightning
# via s3torchconnector
# via timm
# via torchmetrics
# via torchvision
# via torchviz
torchinfo==1.8.0
torchmetrics==1.4.1
# via lightning
# via pytorch-lightning
torchsummary==1.5.1
torchvision==0.19.0
# via lightly
# via timm
torchviz==0.0.2
tornado==6.4.1
# via ipykernel
# via jupyter-client
# via jupyter-server
# via jupyterlab
# via notebook
# via terminado
tqdm==4.66.5
# via captum
# via datasets
# via dvc
# via dvc-data
# via fsspec
# via huggingface-hub
# via lightly
# via lightning
# via optuna
# via pinecone-client
# via pytorch-lightning
# 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
# via torch
typer==0.12.5
# via gto
types-python-dateutil==2.9.0.20240821
# via arrow
types-requests==2.32.0.20240712
typing-extensions==4.12.2
# via alembic
# via asyncssh
# via dapr
# via huggingface-hub
# via ipython
# via lightning
# via lightning-utilities
# via pinecone-client
# via pydantic
# via pydantic-core
# via pytorch-lightning
# via sqlalchemy
# via torch
# via typer
tzdata==2024.1
# via celery
# via pandas
uhi==0.4.0
# via histoprint
# via mplhep
umap-learn==0.5.6
uri-template==1.3.0
# via jsonschema
urllib3==2.2.2
# via botocore
# via clearml
# via dulwich
# via lightly
# via pinecone-client
# via requests
# via types-requests
vine==5.1.0
# via amqp
# via celery
# via kombu
virtualenv==20.26.3
# via pre-commit
voluptuous==0.15.2
# via dvc
# via dvc-studio-client
wcwidth==0.2.13
# via cmd2
# via prettytable
# via prompt-toolkit
webcolors==24.8.0
# via jsonschema
webencodings==0.5.1
# via bleach
# via tinycss2
websocket-client==1.8.0
# via jupyter-server
werkzeug==3.0.4
# via tensorboard
widgetsnbextension==4.0.13
# via ipywidgets
wrapt==1.16.0
# via aiobotocore
# via smart-open
xxhash==3.5.0
# via datasets
yarl==1.9.8
# via aiohttp
zc-lockfile==3.0.post1
# via dvc