{
  "repodata": {
    "build": "py313cuda130h624b2f5_100_cuda",
    "build_number": 100,
    "constrains": [
      "faiss-cpu ==9999999999",
      "faiss-proc =*=cuda"
    ],
    "depends": [
      "__cuda",
      "_openmp_mutex * *_msvc",
      "blas * openblas",
      "cuda-version >=13.0,<14",
      "libcublas >=13.1.1.3,<14.0a0",
      "libfaiss 1.15.0 *_cuda",
      "libfaiss-avx2 1.15.0 *_cuda",
      "libopenblas >=0.3.31,<1.0a0",
      "numpy >=1.21,<3",
      "numpy >=2.0",
      "packaging",
      "python >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313",
      "ucrt >=10.0.20348.0",
      "vc >=14.3,<15",
      "vc14_runtime >=14.44.35208",
      "vcomp14 >=14.44.35208"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "83161ee138148a4d1120b67d8c28847b",
    "name": "faiss",
    "sha256": "35c5d4d1b71a0d783e1fb2d60dabb2bd09f9a6129b8bea85cf4676fcdee69924",
    "size": 3669287,
    "subdir": "win-64",
    "timestamp": 1786738791136,
    "version": "1.15.0"
  },
  "s3": "builds/ci/prefect/EqQWYDJwRwqbNKxytW4Ohg/1786750968/win-64/faiss-1.15.0-py313cuda130h624b2f5_100_cuda.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "22d89ecc90187f759b28d7095fb39371aa35f2f7d99c672c8d4c919e25476fe382d2682157fa3c6610dbbebe5c2e0962db90d2fa2156025f64a13f7480479c01"
  }
}