# This file was autogenerated by uv via the following command:
#    uv export --format requirements-txt --no-hashes -o requirements.txt
-e .
alembic==1.18.5
    # via optuna
annotated-doc==0.0.4
    # via typer
annotated-types==0.7.0
    # via pydantic
anyio==4.14.1
    # via httpx
attrs==26.1.0
    # via
    #   jsonschema
    #   referencing
braceexpand==0.1.7
    # via webdataset
certifi==2026.6.17
    # via
    #   httpcore
    #   httpx
    #   requests
charset-normalizer==3.4.7
    # via requests
click==8.4.2
    # via
    #   huggingface-hub
    #   ray
    #   typer
colorama==0.4.6 ; sys_platform == 'win32'
    # via
    #   click
    #   colorlog
    #   pytest
    #   tqdm
colorlog==6.10.1
    # via optuna
contourpy==1.3.3
    # via matplotlib
cuda-bindings==13.3.1 ; sys_platform == 'linux'
    # via torch
cuda-pathfinder==1.5.5 ; sys_platform == 'linux'
    # via cuda-bindings
cuda-toolkit==13.0.2 ; sys_platform == 'linux'
    # via torch
cycler==0.12.1
    # via matplotlib
filelock==3.29.4
    # via
    #   huggingface-hub
    #   ray
    #   torch
fonttools==4.63.0
    # via matplotlib
fsspec==2026.6.0
    # via
    #   huggingface-hub
    #   ray
    #   torch
greenlet==3.5.2 ; platform_machine == 'AMD64' or platform_machine == 'WIN32' or platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'ppc64le' or platform_machine == 'win32' or platform_machine == 'x86_64'
    # via sqlalchemy
h11==0.16.0
    # via httpcore
hf-xet==1.5.1 ; platform_machine == 'AMD64' or platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'
    # via huggingface-hub
httpcore==1.0.9
    # via httpx
httpx==0.28.1
    # via huggingface-hub
huggingface-hub==1.21.0
    # via timm
idna==3.18
    # via
    #   anyio
    #   httpx
    #   requests
iniconfig==2.3.0
    # via pytest
jinja2==3.1.6
    # via torch
joblib==1.5.3
    # via scikit-learn
jsonschema==4.26.0
    # via ray
jsonschema-specifications==2025.9.1
    # via jsonschema
kiwisolver==1.5.0
    # via matplotlib
mako==1.3.12
    # via alembic
markdown-it-py==4.2.0
    # via rich
markupsafe==3.0.3
    # via
    #   jinja2
    #   mako
matplotlib==3.11.0
    # via cvic
mdurl==0.1.2
    # via markdown-it-py
mpmath==1.3.0
    # via sympy
msgpack==1.2.1
    # via ray
narwhals==2.22.1
    # via scikit-learn
networkx==3.6.1
    # via torch
numpy==2.5.0
    # via
    #   contourpy
    #   cvic
    #   matplotlib
    #   optuna
    #   pandas
    #   scikit-learn
    #   scipy
    #   tensorboardx
    #   torchvision
    #   webdataset
nvidia-cublas==13.1.1.3 ; sys_platform == 'linux'
    # via
    #   nvidia-cudnn-cu13
    #   nvidia-cusolver
    #   torch
nvidia-cuda-cupti==13.0.85 ; sys_platform == 'linux'
    # via cuda-toolkit
nvidia-cuda-nvrtc==13.0.88 ; sys_platform == 'linux'
    # via
    #   cuda-toolkit
    #   nvidia-cublas
nvidia-cuda-runtime==13.0.96 ; sys_platform == 'linux'
    # via cuda-toolkit
nvidia-cudnn-cu13==9.20.0.48 ; sys_platform == 'linux'
    # via torch
nvidia-cufft==12.0.0.61 ; sys_platform == 'linux'
    # via cuda-toolkit
nvidia-cufile==1.15.1.6 ; sys_platform == 'linux'
    # via cuda-toolkit
nvidia-curand==10.4.0.35 ; sys_platform == 'linux'
    # via cuda-toolkit
nvidia-cusolver==12.0.4.66 ; sys_platform == 'linux'
    # via cuda-toolkit
nvidia-cusparse==12.6.3.3 ; sys_platform == 'linux'
    # via
    #   cuda-toolkit
    #   nvidia-cusolver
nvidia-cusparselt-cu13==0.8.1 ; sys_platform == 'linux'
    # via torch
nvidia-nccl-cu13==2.29.7 ; sys_platform == 'linux'
    # via torch
nvidia-nvjitlink==13.0.88 ; sys_platform == 'linux'
    # via
    #   cuda-toolkit
    #   nvidia-cufft
    #   nvidia-cusolver
    #   nvidia-cusparse
nvidia-nvshmem-cu13==3.4.5 ; sys_platform == 'linux'
    # via torch
nvidia-nvtx==13.0.85 ; sys_platform == 'linux'
    # via cuda-toolkit
optuna==4.9.0
    # via cvic
packaging==26.2
    # via
    #   huggingface-hub
    #   matplotlib
    #   optuna
    #   pytest
    #   ray
    #   tensorboardx
pandas==3.0.3
    # via
    #   cvic
    #   ray
pillow==12.2.0
    # via
    #   cvic
    #   matplotlib
    #   torchvision
pluggy==1.6.0
    # via pytest
protobuf==7.35.1
    # via
    #   ray
    #   tensorboardx
pyarrow==24.0.0
    # via ray
pydantic==2.13.4
    # via ray
pydantic-core==2.46.4
    # via pydantic
pygments==2.20.0
    # via
    #   pytest
    #   rich
pyparsing==3.3.2
    # via matplotlib
pytest==9.1.1
python-dateutil==2.9.0.post0
    # via
    #   matplotlib
    #   pandas
pyyaml==6.0.3
    # via
    #   cvic
    #   huggingface-hub
    #   optuna
    #   ray
    #   timm
    #   webdataset
ray==2.55.1
    # via cvic
referencing==0.37.0
    # via
    #   jsonschema
    #   jsonschema-specifications
requests==2.34.2
    # via ray
rich==15.0.0
    # via typer
rpds-py==2026.5.1
    # via
    #   jsonschema
    #   referencing
safetensors==0.8.0
    # via timm
scikit-learn==1.9.0
    # via cvic
scipy==1.18.0
    # via
    #   cvic
    #   scikit-learn
setuptools==81.0.0
    # via torch
shellingham==1.5.4
    # via typer
six==1.17.0
    # via python-dateutil
sqlalchemy==2.0.51
    # via
    #   alembic
    #   optuna
sympy==1.14.0
    # via torch
tensorboardx==2.6.5
    # via ray
threadpoolctl==3.6.0
    # via scikit-learn
timm==1.0.27
    # via cvic
torch==2.12.1
    # via
    #   cvic
    #   timm
    #   torchvision
torchvision==0.27.1
    # via
    #   cvic
    #   timm
tqdm==4.68.3
    # via
    #   cvic
    #   huggingface-hub
    #   optuna
triton==3.7.1 ; sys_platform == 'linux'
    # via torch
typer==0.25.1
    # via huggingface-hub
typing-extensions==4.15.0
    # via
    #   alembic
    #   anyio
    #   huggingface-hub
    #   pydantic
    #   pydantic-core
    #   referencing
    #   sqlalchemy
    #   torch
    #   typing-inspection
typing-inspection==0.4.2
    # via pydantic
tzdata==2026.2 ; sys_platform == 'emscripten' or sys_platform == 'win32'
    # via pandas
urllib3==2.7.0
    # via requests
webdataset==1.0.2
    # via cvic
