{
  "repodata": {
    "build": "py314hd595a79_0",
    "build_number": 0,
    "depends": [
      "_openmp_mutex * *_msvc",
      "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",
      "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": "bd88f9edcc703be93e5d129ff532452b",
    "name": "hierarchicalforecast",
    "sha256": "a374baa0a4f3f9dec86d39df019fc289efd96547d982df1712d77786e0fc3fa1",
    "size": 223052,
    "subdir": "win-64",
    "timestamp": 1784199318592,
    "version": "1.5.1"
  },
  "s3": "builds/ci/prefect/eIrtrJkDTemF59fUTkxKCQ/1784201658/win-64/hierarchicalforecast-1.5.1-py314hd595a79_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "99b674371ceaae46b962dfda0b1f2785127dc6403da725a0dd2ed4c5c802b7685b4de6e40bd73ff12a91db0b7d51a07f0ab950c31ea2db343a918509d28ee300"
  }
}