{
  "repodata": {
    "build": "py311hd595a79_0",
    "build_number": 0,
    "depends": [
      "_openmp_mutex * *_msvc",
      "matplotlib-base",
      "narwhals >=2.0",
      "numpy",
      "pandas >=2.1.0",
      "python >=3.11,<3.12.0a0",
      "qpsolvers",
      "scikit-learn >=1.2",
      "ucrt >=10.0.20348.0",
      "utilsforecast >=0.2.12",
      "vc >=14.3,<15",
      "vc14_runtime >=14.44.35208",
      "vcomp14 >=14.44.35208"
    ],
    "license": "Apache-2.0",
    "license_family": "Apache",
    "md5": "0ada2e1ce1de3708a3675de199d90d17",
    "name": "hierarchicalforecast",
    "sha256": "17368c437b4693348ce45c8cec741ae0636f291686d4dfc7e49992eba174665c",
    "size": 221334,
    "subdir": "win-64",
    "timestamp": 1784199822233,
    "version": "1.5.1"
  },
  "s3": "builds/ci/prefect/DxXFBNw7TR2ivE3QjfOXaA/1784199944/win-64/hierarchicalforecast-1.5.1-py311hd595a79_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "ede93fe44b51f9c2a26ffbe6c4f0e908280ef436d731459a6fdfc533574aaa9e62122273fb516b6cc28f1553802d7b5356a3e3f8eccd97a3485985b956104004"
  }
}