# This file was autogenerated by uv via the following command:
#    uv pip compile pyproject.toml --extra cu118 -o requirements/requirements.cu118.txt
annoy==1.17.3
    # via parampacmap (pyproject.toml)
filelock==3.16.1
    # via
    #   torch
    #   triton
fsspec==2024.10.0
    # via torch
jinja2==3.1.4
    # via torch
joblib==1.4.2
    # via scikit-learn
llvmlite==0.43.0
    # via numba
markupsafe==3.0.2
    # via jinja2
mpmath==1.3.0
    # via sympy
networkx==3.4.2
    # via torch
numba==0.60.0
    # via parampacmap (pyproject.toml)
numpy==2.0.2
    # via
    #   parampacmap (pyproject.toml)
    #   numba
    #   scikit-learn
    #   scipy
nvidia-cublas-cu11==11.11.3.6
    # via
    #   nvidia-cudnn-cu11
    #   nvidia-cusolver-cu11
    #   torch
nvidia-cuda-cupti-cu11==11.8.87
    # via torch
nvidia-cuda-nvrtc-cu11==11.8.89
    # via torch
nvidia-cuda-runtime-cu11==11.8.89
    # via torch
nvidia-cudnn-cu11==9.1.0.70
    # via torch
nvidia-cufft-cu11==10.9.0.58
    # via torch
nvidia-curand-cu11==10.3.0.86
    # via torch
nvidia-cusolver-cu11==11.4.1.48
    # via torch
nvidia-cusparse-cu11==11.7.5.86
    # via torch
nvidia-nccl-cu11==2.21.5
    # via torch
nvidia-nvtx-cu11==11.8.86
    # via torch
scikit-learn==1.5.2
    # via parampacmap (pyproject.toml)
scipy==1.14.1
    # via scikit-learn
sympy==1.13.1
    # via torch
threadpoolctl==3.5.0
    # via scikit-learn
torch==2.5.1+cu118
    # via parampacmap (pyproject.toml)
triton==3.1.0
    # via torch
typing-extensions==4.12.2
    # via torch
