{
  "repodata": {
    "build": "py310h5b11e9f_0",
    "build_number": 0,
    "depends": [
      "__glibc >=2.28,<3.0.a0",
      "_openmp_mutex * *_gnu",
      "libgcc >=14",
      "libgomp",
      "libstdcxx >=14",
      "matplotlib-base",
      "narwhals >=2.0",
      "numpy",
      "pandas >=2.1.0",
      "python >=3.10,<3.11.0a0",
      "qpsolvers",
      "scikit-learn >=1.2",
      "utilsforecast >=0.2.12"
    ],
    "license": "Apache-2.0",
    "license_family": "Apache",
    "md5": "68d575e6502b7de687f711160d8f61ad",
    "name": "hierarchicalforecast",
    "sha256": "0ab52c4fdb38f62ca29fc9213b8621c36389a67809bbc5f5036f3f980b20e4cb",
    "size": 236749,
    "subdir": "linux-aarch64",
    "timestamp": 1784199835537,
    "version": "1.5.1"
  },
  "s3": "builds/ci/prefect/M6l7HEp2RhCUj2Z3WpvR1g/1784201708/linux-aarch64/hierarchicalforecast-1.5.1-py310h5b11e9f_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "959648ceb7e9dd78a31b822938a5851f235199c49c208ea5d06b51993e345418b7436998f5bb32a3d55d8f6754d6eaaf87fad3f43ba64f7a515358a3789cb50a"
  }
}