{
  "repodata": {
    "build": "py313hbd3cbf0_0",
    "build_number": 0,
    "constrains": [
      "scipy >=1.0",
      "tbb >=2022",
      "cuda-python >=11.6",
      "cuda-version >=11.2",
      "libopenblas !=0.3.6",
      "cudatoolkit >=11.2"
    ],
    "depends": [
      "__glibc >=2.28,<3.0.a0",
      "_openmp_mutex >=5.1",
      "libgcc >=14",
      "libstdcxx >=14",
      "llvmlite >=0.47.0dev0,<0.48",
      "numpy >=1.21,<3",
      "numpy >=1.22,<2.5,!=2.0.1",
      "python >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313",
      "tbb >=2022.0.0"
    ],
    "license": "BSD-2-Clause",
    "license_family": "BSD",
    "md5": "6a47b68af0f2ecdba7aaec3c36584ca8",
    "name": "numba",
    "sha256": "f762d3d5e1f79a852012b8f0117f6e49005f5116f9383ac6ebf8d901edb4c61b",
    "size": 6400574,
    "subdir": "linux-64",
    "timestamp": 1777940393705,
    "version": "0.65.1"
  },
  "s3": "builds/ci/prefect/Go8mmDOpRmKUIN6eFu8fVw/1777940865/linux-64/numba-0.65.1-py313hbd3cbf0_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "d300737266acfe137912f75f17e1e875b7a83694648a0ca77c0967d853103cd9ded9cdc78585de46ebe6f1ba00cfa2f306e0504f1408f6f8c549ffcbce21de06"
  }
}