{
  "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": "1ba6ca63b5a3184566170cd51d58b798",
    "name": "hierarchicalforecast",
    "sha256": "70ecfc2ac2301e9989243d3ddacbcdbc7aa0b912d7a1f915821db3eba52a50b7",
    "size": 236652,
    "subdir": "linux-aarch64",
    "timestamp": 1784199747011,
    "version": "1.5.1"
  },
  "s3": "builds/ci/prefect/DxXFBNw7TR2ivE3QjfOXaA/1784199939/linux-aarch64/hierarchicalforecast-1.5.1-py310h5b11e9f_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "ef91e8a179a1cc8d6c0cf440f63a9b6bc63bf69840391d18e0a9eff5754b59f8e54dfa92235e7a83c72913f7adb945718dc69964bb880e93e22bbc686e7ef60d"
  }
}