{
  "repodata": {
    "build": "py314cuda129ha3a06c2_100_cuda",
    "build_number": 100,
    "constrains": [
      "faiss-proc =*=cuda",
      "faiss-cpu ==9999999999"
    ],
    "depends": [
      "_openmp_mutex * *_gnu",
      "blas * openblas",
      "cuda-cudart >=12.9.79,<13.0a0",
      "cuda-version >=12.9,<13",
      "libcublas >=12.9.2.10,<13.0a0",
      "libfaiss 1.15.0 *_cuda",
      "libfaiss-avx2 1.15.0 *_cuda",
      "libgcc >=14",
      "libgomp",
      "libopenblas >=0.3.31,<1.0a0",
      "libstdcxx >=14",
      "numpy >=1.23,<3",
      "numpy >=2.0",
      "packaging",
      "python >=3.14,<3.15.0a0",
      "python_abi 3.14.* *_cp314"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "825249abc2ffd6483541f1e45fb0b2b0",
    "name": "faiss",
    "sha256": "2a9bf3f03dd502863df6f5d6637f141a72835d2516b508a4894643741bb41d72",
    "size": 4729783,
    "subdir": "linux-64",
    "timestamp": 1786717068066,
    "version": "1.15.0"
  },
  "s3": "builds/ci/prefect/YOscZi2OS_Gho42kD_O4tQ/1786719864/linux-64/faiss-1.15.0-py314cuda129ha3a06c2_100_cuda.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "bb08a84478a4f92e3f23da768b65cf6791590c631724c4c11360df43d4bdfc68ffc8f3e7d08f528065f7dfa56f95fd1eb5a108e6728d0223008583f7add78509"
  }
}