{
  "repodata": {
    "build": "py313cuda130heb32b3c_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 >=1.21,<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"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "25d39166b7c79cec00062274b16a0fce",
    "name": "faiss",
    "sha256": "225755efcee539a4ff8f316e51b76ed5ca49bbeccba146fffc1e98963b9aa30a",
    "size": 3456222,
    "subdir": "win-64",
    "timestamp": 1778257401181,
    "version": "1.14.1"
  },
  "s3": "builds/ci/prefect/R8wdfP5KR8mAgVXhEi0wvQ/1778259065/win-64/faiss-1.14.1-py313cuda130heb32b3c_101_cuda.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "fa1284bc11902aa7a78b9278437a10e8ed0a202a70a715e7c6a2d5c348486ef051bf3de3a431720f677344a23125563ceb74de979ad21a7e0d5dfb76d5640802"
  }
}