{
  "repodata": {
    "build": "py314cuda130h550691a_101_cuda",
    "build_number": 101,
    "constrains": [
      "faiss-cpu ==9999999999",
      "faiss-proc =*=cuda"
    ],
    "depends": [
      "_openmp_mutex >=6.0 *_intel",
      "blas * mkl",
      "cuda-version >=13.0,<14",
      "intel-openmp >=2025.0.0,<2026.0a0",
      "libcublas >=13.1.1.3,<14.0a0",
      "libfaiss 1.14.1 *_cuda",
      "libfaiss-avx2 1.14.1 *_cuda",
      "mkl >=2025.0.0,<2026.0a0",
      "mkl-service >=2.3.0,<3.0a0",
      "numpy >=1.23,<3",
      "numpy >=2.0",
      "packaging",
      "python >=3.14,<3.15.0a0",
      "python_abi 3.14.* *_cp314",
      "ucrt >=10.0.20348.0",
      "vc >=14.3,<15",
      "vc14_runtime >=14.44.35208"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "40613ce42f2f7ad3e289bd588a5b982f",
    "name": "faiss",
    "sha256": "03af7945898bbbf6eef5e2db56b63db6487e70fe6ca97054f7a30758d98dad3f",
    "size": 3456093,
    "subdir": "win-64",
    "timestamp": 1778267567253,
    "version": "1.14.1"
  },
  "s3": "builds/ci/prefect/YvjipQqSSg-l0tUMWz8G7g/1778273408/win-64/faiss-1.14.1-py314cuda130h550691a_101_cuda.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "dd1705acc4191288303f0b9224fc44f974f4a82e29ff6bd31b7941da06fc1e792dd7dbaed3cb2bbf410af8b7a335479cec702fe94d4b32b1114d6831e903070e"
  }
}