{
  "repodata": {
    "build": "py312cuda129h6b6c4e1_100_cuda",
    "build_number": 100,
    "constrains": [
      "faiss-proc =*=cuda",
      "faiss-cpu ==9999999999"
    ],
    "depends": [
      "_openmp_mutex >=4.5",
      "_openmp_mutex >=5.1",
      "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",
      "libgcc >=14",
      "libstdcxx >=14",
      "mkl >=2025.0.0,<2026.0a0",
      "mkl-service >=2.3.0,<3.0a0",
      "numpy >=1.21,<3",
      "packaging",
      "python >=3.12,<3.13.0a0"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "fa07ab8f430efbde3c59dc63f0da5a15",
    "name": "faiss",
    "sha256": "653c7d383af528ccd949dbee1b7c0b80838482c79e21f22cc6704ff340356909",
    "size": 4494556,
    "subdir": "linux-64",
    "timestamp": 1775480624727,
    "version": "1.14.1"
  },
  "s3": "builds/ci/prefect/HMN60K7CTkK3qJ3BBjYo0Q/1775483363/linux-64/faiss-1.14.1-py312cuda129h6b6c4e1_100_cuda.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "eb9824c7fc6eb03270751a60281474b6190a909904bef9373cdb45f9e919eec2256910b1bc841dbba11ce5e94af2238b5f79ee6bcb7fa08ee2e69ea70e5e2300"
  }
}