{
  "repodata": {
    "build": "py313hcf75e31_1_cpu",
    "build_number": 1,
    "constrains": [
      "faiss-gpu ==9999999999",
      "faiss-proc =*=cpu"
    ],
    "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",
      "libgcc >=14",
      "libstdcxx >=14",
      "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"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "acd768307e190cd88774dd9ce759d12f",
    "name": "faiss",
    "sha256": "5ca8d8fbbea8d66f2f8c1702d4f9be17eedb9bde8898c0fc539b759c04ccbdf0",
    "size": 4079774,
    "subdir": "linux-64",
    "timestamp": 1778253380550,
    "version": "1.14.1"
  },
  "s3": "builds/ci/prefect/YvjipQqSSg-l0tUMWz8G7g/1778273331/linux-64/faiss-1.14.1-py313hcf75e31_1_cpu.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "2f406fbd1633f8ec512f6067c3c6ceaedede80ccf062d3049b6a2609a8d9d0c2fefddd6bf8d7523102a4a76b0d23ea604f5d1b330996bbd99e594fd0afbe6d0b"
  }
}