{
  "repodata": {
    "build": "py313h0679f5c_1",
    "build_number": 1,
    "constrains": [
      "scipy >=1.0",
      "tbb >=2022",
      "cudatoolkit >=11.2",
      "cuda-python >=11.6",
      "cuda-version >=11.2"
    ],
    "depends": [
      "__glibc >=2.28,<3.0.a0",
      "_openmp_mutex >=6.0 *_gnu",
      "libgcc >=14",
      "libgomp",
      "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": "f0fdbf94e3bc8d73e404952ca0e3e057",
    "name": "numba",
    "sha256": "4d5df2c547f1d82477080feb33c14925a3e5fa3dd1afff601dc2f19c63f91ba1",
    "size": 6393229,
    "subdir": "linux-aarch64",
    "timestamp": 1778514380322,
    "version": "0.65.1"
  },
  "s3": "builds/ci/prefect/USld3U77SwC-SHT6IimcVw/1778514673/linux-aarch64/numba-0.65.1-py313h0679f5c_1.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "c1958b7d767a362d8f8752b0e35256d1649caf8b51aae9794b548252a7f0e03fd3d847bcf6f528156894bacdd855727a714b2d4502ddb1700a4496871fdeb605"
  }
}