{
  "repodata": {
    "build": "py312h231e4d7_1_cpu",
    "build_number": 1,
    "constrains": [
      "faiss-proc =*=cpu",
      "faiss-gpu ==9999999999"
    ],
    "depends": [
      "_openmp_mutex >=6.0 *_intel",
      "blas * mkl",
      "intel-openmp >=2025.0.0,<2026.0a0",
      "libfaiss 1.14.1 *_cpu",
      "libfaiss-avx2 1.14.1 *_cpu",
      "mkl >=2025.0.0,<2026.0a0",
      "mkl-service >=2.3.0,<3.0a0",
      "numpy >=1.21,<3",
      "numpy >=2.0",
      "packaging",
      "python >=3.12,<3.13.0a0",
      "ucrt >=10.0.20348.0",
      "vc >=14.3,<15",
      "vc14_runtime >=14.44.35208"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "86f50dde6cb415b6a0808650b92f3654",
    "name": "faiss",
    "sha256": "b47220459daf0a5e29ea4f95755dcecbc25a6167fb0d0f2ef73d6acaa8faf2ed",
    "size": 3138848,
    "subdir": "win-64",
    "timestamp": 1778253660046,
    "version": "1.14.1"
  },
  "s3": "builds/ci/prefect/YvjipQqSSg-l0tUMWz8G7g/1778273408/win-64/faiss-1.14.1-py312h231e4d7_1_cpu.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "5fcf0a85e259dc20db700da98a1eabfb840daa61e39f87f90fc0561038c7a8672f1532ebec272cb03044239f5fa35324881e805f0f2fc1e55c7788b2f75bb608"
  }
}