{
  "repodata": {
    "build": "py311cuda129h23f1667_100_cuda",
    "build_number": 100,
    "constrains": [
      "faiss-proc =*=cuda",
      "faiss-cpu ==9999999999"
    ],
    "depends": [
      "blas 1.0 mkl",
      "cuda-cudart >=12.9.79,<13.0a0",
      "cuda-version >=12.9,<13",
      "libcublas >=12.9.1.4,<13.0a0",
      "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",
      "packaging",
      "python >=3.11,<3.12.0a0",
      "ucrt >=10.0.20348.0",
      "vc >=14.3,<15",
      "vc14_runtime >=14.44.35208"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "4cd8d231183eebdb176f75fdb828cce2",
    "name": "faiss",
    "sha256": "f5255e2476e3f363b61274afe6ceb45b9b8455154959fa56cf81aebc8c759d72",
    "size": 3468572,
    "subdir": "win-64",
    "timestamp": 1775450745691,
    "version": "1.14.1"
  },
  "s3": "builds/ci/prefect/XN4-4Uh-SJiavYQbknalnw/1775452769/win-64/faiss-1.14.1-py311cuda129h23f1667_100_cuda.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "f6bd7d92f217ea0d8eb3f250ceeea03546527d727c483aa4f5e921b82c0a84482fdbe33348a30dea27d9c838be66b17d985c7f1cc34013576f7c92cf5b764307"
  }
}