{
  "repodata": {
    "build": "py314cuda130h081f42e_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 1.15.1 *_cuda",
      "libfaiss-avx2 1.15.1 *_cuda",
      "libopenblas >=0.3.34,<1.0a0",
      "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",
      "vcomp14 >=14.44.35208"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "9bb2195ea31492f8f2520ecba924b3d2",
    "name": "faiss",
    "sha256": "3d2febfe339c111e31f81b44af30b59e5f3fc0f6183aec1f77add699c5c572e0",
    "size": 3717641,
    "subdir": "win-64",
    "timestamp": 1794521336640,
    "version": "1.15.1"
  },
  "s3": "builds/ci/prefect/M9PYNuo_Tvm-sDq1CfaS4g/1794522867/win-64/faiss-1.15.1-py314cuda130h081f42e_100_cuda.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "73be614d09f0d3c05aedfd37d268dd7afadebc82a0a731536b77a55e7db1f7c511e9f185b5f6995cd3af9400c6a0be37f6d3a464f5fb2f8dbcacfcbc90695701"
  }
}