{
  "repodata": {
    "build": "py313hbd3cbf0_0",
    "build_number": 0,
    "constrains": [
      "tbb >=2022",
      "scipy >=1.0",
      "cuda-version >=11.2",
      "cuda-python >=11.6",
      "cudatoolkit >=11.2",
      "libopenblas !=0.3.6"
    ],
    "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": "cbabf8c30e6c377f71517d87c11acadf",
    "name": "numba",
    "sha256": "15515636b625d14342e05b7e8082120968d6fc945df6e78eebffd913184089e3",
    "size": 6386471,
    "subdir": "linux-64",
    "timestamp": 1775487511485,
    "version": "0.65.0"
  },
  "s3": "builds/ci/prefect/S0KB-jXwQ8ytPU3YlT0xSw/1775488093/linux-64/numba-0.65.0-py313hbd3cbf0_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "aeee12ca62564d1a81408254decdf5210415dd54ce9dc6afa7ab182e4b7832a0a8e03e4d4b0c26e78646b805e07319ccc36ca4a1e72338e78873b208de20b40d"
  }
}