{
  "repodata": {
    "build": "py314h50f4ffc_0",
    "build_number": 0,
    "depends": [
      "__osx >=12.1",
      "libcxx >=20",
      "llvm-openmp 20.*",
      "llvm-openmp >=20.1.8",
      "matplotlib-base",
      "narwhals >=2.0",
      "numpy",
      "pandas >=2.1.0",
      "python >=3.14,<3.15.0a0",
      "python_abi 3.14.* *_cp314",
      "qpsolvers",
      "scikit-learn >=1.2",
      "utilsforecast >=0.2.12"
    ],
    "license": "Apache-2.0",
    "license_family": "Apache",
    "md5": "7ee9d6ff15d66c1010a3f80caa315214",
    "name": "hierarchicalforecast",
    "sha256": "a77bbf8e31210197aac30098dd217c872a7fca5ed913d1ae3609356c8bb6d48c",
    "size": 225788,
    "subdir": "osx-arm64",
    "timestamp": 1784201609344,
    "version": "1.5.1"
  },
  "s3": "builds/ci/prefect/M6l7HEp2RhCUj2Z3WpvR1g/1784201723/osx-arm64/hierarchicalforecast-1.5.1-py314h50f4ffc_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "839ca4d2bb86fdf9ae0d015b2cd5868d75051108f156697879da3bcd9677c46e16434bc40e418b8535205615f9c06957f54737d0a61a71d4a8bd311b95ac3700"
  }
}