{
  "repodata": {
    "build": "py314cuda130h431a024_101_cuda",
    "build_number": 101,
    "constrains": [
      "faiss-proc =*=cuda",
      "faiss-cpu ==9999999999"
    ],
    "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": "f1e8597160ba0259137a10ad18473b49",
    "name": "faiss",
    "sha256": "e31f504874115952cc5bd2d658d5f59e6902d120e7226db66d0894e05201d857",
    "size": 3458378,
    "subdir": "win-64",
    "timestamp": 1778190947433,
    "version": "1.14.1"
  },
  "s3": "builds/ci/prefect/Z1eV4B26SXqzGlIMyort_g/1778197557/win-64/faiss-1.14.1-py314cuda130h431a024_101_cuda.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "d478d2a9c2ad8b0a85e0af311b6eeb77d63f6a28d787f9b6b31c82ccc51dd7203291c14d22b4dbc9a52da6acaee6a73804138e623e2287d895972a63ff75230c"
  }
}