# This file was autogenerated by uv via the following command:
#    uv pip compile pyproject.toml
aiofiles==23.2.1
    # via gradio
aiohappyeyeballs==2.4.4
    # via aiohttp
aiohttp==3.11.11
    # via
    #   datasets
    #   fsspec
aiosignal==1.3.2
    # via aiohttp
altair==5.5.0
    # via saev
annotated-types==0.7.0
    # via pydantic
anyio==4.8.0
    # via
    #   gradio
    #   httpx
    #   jupyter-server
    #   starlette
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
attrs==24.3.0
    # via
    #   aiohttp
    #   jsonschema
    #   referencing
babel==2.16.0
    # via jupyterlab-server
beartype==0.19.0
    # via
    #   saev-image-classification (pyproject.toml)
    #   saev
beautifulsoup4==4.12.3
    # via nbconvert
bleach==6.2.0
    # via nbconvert
braceexpand==0.1.7
    # via webdataset
certifi==2024.12.14
    # via
    #   httpcore
    #   httpx
    #   requests
    #   sentry-sdk
cffi==1.17.1
    # via argon2-cffi-bindings
charset-normalizer==3.4.1
    # via requests
click==8.1.8
    # via
    #   marimo
    #   typer
    #   uvicorn
    #   wandb
cloudpickle==3.1.0
    # via submitit
comm==0.2.2
    # via ipykernel
contourpy==1.3.1
    # via matplotlib
cycler==0.12.1
    # via matplotlib
datasets==3.2.0
    # via saev
debugpy==1.8.11
    # via ipykernel
decorator==5.1.1
    # via ipython
defusedxml==0.7.1
    # via nbconvert
dill==0.3.8
    # via
    #   datasets
    #   multiprocess
docker-pycreds==0.4.0
    # via wandb
docstring-parser==0.16
    # via tyro
docutils==0.21.2
    # via marimo
einops==0.8.0
    # via
    #   saev-image-classification (pyproject.toml)
    #   saev
executing==2.1.0
    # via stack-data
fastapi==0.115.6
    # via gradio
fastjsonschema==2.21.1
    # via nbformat
ffmpy==0.5.0
    # via gradio
filelock==3.16.1
    # via
    #   datasets
    #   huggingface-hub
    #   torch
    #   triton
fonttools==4.55.3
    # via matplotlib
fqdn==1.5.1
    # via jsonschema
frozenlist==1.5.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2024.9.0
    # via
    #   datasets
    #   gradio-client
    #   huggingface-hub
    #   torch
ftfy==6.3.1
    # via open-clip-torch
gitdb==4.0.12
    # via gitpython
gitpython==3.1.44
    # via wandb
gradio==5.10.0
    # via saev-image-classification (pyproject.toml)
gradio-client==1.5.3
    # via gradio
h11==0.14.0
    # via
    #   httpcore
    #   uvicorn
httpcore==1.0.7
    # via httpx
httpx==0.28.1
    # via
    #   gradio
    #   gradio-client
    #   jupyterlab
    #   safehttpx
huggingface-hub==0.27.1
    # via
    #   datasets
    #   gradio
    #   gradio-client
    #   open-clip-torch
    #   timm
idna==3.10
    # via
    #   anyio
    #   httpx
    #   jsonschema
    #   requests
    #   yarl
ipykernel==6.29.5
    # via jupyterlab
ipython==8.31.0
    # via ipykernel
isoduration==20.11.0
    # via jsonschema
itsdangerous==2.2.0
    # via marimo
jaxtyping==0.2.36
    # via
    #   saev-image-classification (pyproject.toml)
    #   saev
jedi==0.19.2
    # via
    #   ipython
    #   marimo
jinja2==3.1.5
    # via
    #   altair
    #   gradio
    #   jupyter-server
    #   jupyterlab
    #   jupyterlab-server
    #   nbconvert
    #   torch
joblib==1.4.2
    # via scikit-learn
json5==0.10.0
    # via jupyterlab-server
jsonpointer==3.0.0
    # via jsonschema
jsonschema==4.23.0
    # via
    #   altair
    #   jupyter-events
    #   jupyterlab-server
    #   nbformat
jsonschema-specifications==2024.10.1
    # via jsonschema
jupyter-client==8.6.3
    # via
    #   ipykernel
    #   jupyter-server
    #   nbclient
jupyter-core==5.7.2
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
    #   jupyterlab
    #   nbclient
    #   nbconvert
    #   nbformat
jupyter-events==0.11.0
    # via jupyter-server
jupyter-lsp==2.2.5
    # via jupyterlab
jupyter-server==2.15.0
    # via
    #   jupyter-lsp
    #   jupyterlab
    #   jupyterlab-server
    #   notebook-shim
jupyter-server-terminals==0.5.3
    # via jupyter-server
jupyterlab==4.3.4
    # via saev
jupyterlab-pygments==0.3.0
    # via nbconvert
jupyterlab-server==2.27.3
    # via jupyterlab
kiwisolver==1.4.8
    # via matplotlib
mako==1.3.8
    # via pdoc3
marimo==0.10.9
    # via saev
markdown==3.7
    # via
    #   marimo
    #   pdoc3
    #   pymdown-extensions
markdown-it-py==3.0.0
    # via rich
markupsafe==2.1.5
    # via
    #   gradio
    #   jinja2
    #   mako
    #   nbconvert
matplotlib==3.10.0
    # via saev
matplotlib-inline==0.1.7
    # via
    #   ipykernel
    #   ipython
mdurl==0.1.2
    # via markdown-it-py
mistune==3.1.0
    # via nbconvert
mpmath==1.3.0
    # via sympy
multidict==6.1.0
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.16
    # via datasets
narwhals==1.21.0
    # via
    #   altair
    #   marimo
nbclient==0.10.2
    # via nbconvert
nbconvert==7.16.5
    # via jupyter-server
nbformat==5.10.4
    # via
    #   jupyter-server
    #   nbclient
    #   nbconvert
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.4.2
    # via torch
notebook-shim==0.2.4
    # via jupyterlab
numpy==2.2.1
    # via
    #   saev-image-classification (pyproject.toml)
    #   contourpy
    #   datasets
    #   gradio
    #   matplotlib
    #   pandas
    #   scikit-learn
    #   scipy
    #   torchvision
    #   webdataset
nvidia-cublas-cu12==12.4.5.8
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cuda-cupti-cu12==12.4.127
    # via torch
nvidia-cuda-nvrtc-cu12==12.4.127
    # via torch
nvidia-cuda-runtime-cu12==12.4.127
    # via torch
nvidia-cudnn-cu12==9.1.0.70
    # via torch
nvidia-cufft-cu12==11.2.1.3
    # via torch
nvidia-curand-cu12==10.3.5.147
    # via torch
nvidia-cusolver-cu12==11.6.1.9
    # via torch
nvidia-cusparse-cu12==12.3.1.170
    # via
    #   nvidia-cusolver-cu12
    #   torch
nvidia-nccl-cu12==2.21.5
    # via torch
nvidia-nvjitlink-cu12==12.4.127
    # via
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
    #   torch
nvidia-nvtx-cu12==12.4.127
    # via torch
open-clip-torch==2.30.0
    # via
    #   saev-image-classification (pyproject.toml)
    #   saev
orjson==3.10.13
    # via gradio
overrides==7.7.0
    # via jupyter-server
packaging==24.2
    # via
    #   altair
    #   datasets
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   ipykernel
    #   jupyter-server
    #   jupyterlab
    #   jupyterlab-server
    #   marimo
    #   matplotlib
    #   nbconvert
pandas==2.2.3
    # via
    #   datasets
    #   gradio
pandocfilters==1.5.1
    # via nbconvert
parso==0.8.4
    # via jedi
pdoc3==0.11.5
    # via saev
pexpect==4.9.0
    # via ipython
pillow==11.1.0
    # via
    #   gradio
    #   matplotlib
    #   saev
    #   torchvision
platformdirs==4.3.6
    # via
    #   jupyter-core
    #   wandb
polars==1.19.0
    # via saev
prometheus-client==0.21.1
    # via jupyter-server
prompt-toolkit==3.0.48
    # via ipython
propcache==0.2.1
    # via
    #   aiohttp
    #   yarl
protobuf==5.29.2
    # via wandb
psutil==6.1.1
    # via
    #   ipykernel
    #   marimo
    #   wandb
ptyprocess==0.7.0
    # via
    #   pexpect
    #   terminado
pure-eval==0.2.3
    # via stack-data
pyarrow==18.1.0
    # via datasets
pycparser==2.22
    # via cffi
pydantic==2.10.4
    # via
    #   fastapi
    #   gradio
    #   wandb
pydantic-core==2.27.2
    # via pydantic
pydub==0.25.1
    # via gradio
pygments==2.19.1
    # via
    #   ipython
    #   marimo
    #   nbconvert
    #   rich
pymdown-extensions==10.13
    # via marimo
pyparsing==3.2.1
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   arrow
    #   jupyter-client
    #   matplotlib
    #   pandas
python-json-logger==3.2.1
    # via jupyter-events
python-multipart==0.0.20
    # via gradio
pytz==2024.2
    # via pandas
pyyaml==6.0.2
    # via
    #   datasets
    #   gradio
    #   huggingface-hub
    #   jupyter-events
    #   marimo
    #   pymdown-extensions
    #   timm
    #   wandb
    #   webdataset
pyzmq==26.2.0
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
referencing==0.35.1
    # via
    #   jsonschema
    #   jsonschema-specifications
    #   jupyter-events
regex==2024.11.6
    # via open-clip-torch
requests==2.32.3
    # via
    #   datasets
    #   huggingface-hub
    #   jupyterlab-server
    #   wandb
rfc3339-validator==0.1.4
    # via
    #   jsonschema
    #   jupyter-events
rfc3986-validator==0.1.1
    # via
    #   jsonschema
    #   jupyter-events
rich==13.9.4
    # via
    #   typer
    #   tyro
rpds-py==0.22.3
    # via
    #   jsonschema
    #   referencing
ruff==0.8.6
    # via
    #   gradio
    #   marimo
saev @ git+https://github.com/samuelstevens/saev@c723ff95462736d907b3c1891d3a1496eb07318f
    # via saev-image-classification (pyproject.toml)
safehttpx==0.1.6
    # via gradio
safetensors==0.5.0
    # via
    #   open-clip-torch
    #   timm
scikit-learn==1.6.0
    # via saev
scipy==1.15.0
    # via scikit-learn
semantic-version==2.10.0
    # via gradio
send2trash==1.8.3
    # via jupyter-server
sentry-sdk==2.19.2
    # via wandb
setproctitle==1.3.4
    # via wandb
setuptools==75.7.0
    # via
    #   jupyterlab
    #   torch
    #   wandb
shellingham==1.5.4
    # via typer
shtab==1.7.1
    # via tyro
six==1.17.0
    # via
    #   docker-pycreds
    #   python-dateutil
    #   rfc3339-validator
smmap==5.0.2
    # via gitdb
sniffio==1.3.1
    # via anyio
soupsieve==2.6
    # via beautifulsoup4
stack-data==0.6.3
    # via ipython
starlette==0.41.3
    # via
    #   fastapi
    #   gradio
    #   marimo
submitit==1.5.2
    # via saev
sympy==1.13.1
    # via torch
terminado==0.18.1
    # via
    #   jupyter-server
    #   jupyter-server-terminals
threadpoolctl==3.5.0
    # via scikit-learn
timm==1.0.12
    # via open-clip-torch
tinycss2==1.4.0
    # via bleach
tomlkit==0.13.2
    # via
    #   gradio
    #   marimo
torch==2.5.1
    # via
    #   saev-image-classification (pyproject.toml)
    #   open-clip-torch
    #   saev
    #   timm
    #   torchvision
torchvision==0.20.1
    # via
    #   saev-image-classification (pyproject.toml)
    #   open-clip-torch
    #   timm
tornado==6.4.2
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
    #   jupyterlab
    #   terminado
tqdm==4.67.1
    # via
    #   datasets
    #   huggingface-hub
    #   open-clip-torch
    #   saev
traitlets==5.14.3
    # via
    #   comm
    #   ipykernel
    #   ipython
    #   jupyter-client
    #   jupyter-core
    #   jupyter-events
    #   jupyter-server
    #   jupyterlab
    #   matplotlib-inline
    #   nbclient
    #   nbconvert
    #   nbformat
triton==3.1.0
    # via torch
typeguard==4.4.1
    # via tyro
typer==0.15.1
    # via gradio
types-python-dateutil==2.9.0.20241206
    # via arrow
typing-extensions==4.12.2
    # via
    #   altair
    #   anyio
    #   fastapi
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   pydantic
    #   pydantic-core
    #   submitit
    #   torch
    #   typeguard
    #   typer
    #   tyro
tyro==0.9.6
    # via saev
tzdata==2024.2
    # via pandas
uri-template==1.3.0
    # via jsonschema
urllib3==2.3.0
    # via
    #   requests
    #   sentry-sdk
uvicorn==0.34.0
    # via
    #   gradio
    #   marimo
vl-convert-python==1.7.0
    # via saev
wandb==0.19.1
    # via saev
wcwidth==0.2.13
    # via
    #   ftfy
    #   prompt-toolkit
webcolors==24.11.1
    # via jsonschema
webdataset==0.2.100
    # via saev
webencodings==0.5.1
    # via
    #   bleach
    #   tinycss2
websocket-client==1.8.0
    # via jupyter-server
websockets==14.1
    # via
    #   gradio-client
    #   marimo
xxhash==3.5.0
    # via datasets
yarl==1.18.3
    # via aiohttp