{
  "repodata": {
    "build": "py313hcf75e31_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",
      "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": "bb4d2b5f2f6527f82e8de2e38c2f359d",
    "name": "faiss",
    "sha256": "d648d0775cda6641b33bcadee886c0184ca86ad0483c306136ba12d666c95e54",
    "size": 4076852,
    "subdir": "linux-64",
    "timestamp": 1778252173644,
    "version": "1.14.1"
  },
  "s3": "builds/ci/prefect/R8wdfP5KR8mAgVXhEi0wvQ/1778259006/linux-64/faiss-1.14.1-py313hcf75e31_1_cpu.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "866d6a8bbe998c943d588ed39d892836444e05a03a82f85b183da3e010b7c228004da71deef6cd6eed88ea7ff8bea2f85dbe79f2ee5e4fe2e1c2090d7f81c00f"
  }
}