{
  "repodata": {
    "build": "py313h50f4ffc_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 >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313",
      "qpsolvers",
      "scikit-learn >=1.2",
      "utilsforecast >=0.2.12"
    ],
    "license": "Apache-2.0",
    "license_family": "Apache",
    "md5": "1da5eb4fe8060bdd194b99eac8c79f6f",
    "name": "hierarchicalforecast",
    "sha256": "5d563906b82de045ca2197c26213f315bd770e9a145c7bf455f6ba72d2501efe",
    "size": 223045,
    "subdir": "osx-arm64",
    "timestamp": 1784201683916,
    "version": "1.5.1"
  },
  "s3": "builds/ci/prefect/M6l7HEp2RhCUj2Z3WpvR1g/1784201723/osx-arm64/hierarchicalforecast-1.5.1-py313h50f4ffc_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "65cc5c3cf558f5fe76fdbf045d937712bdb7c293958c02ab46f8a6b854aa75d4bd1b164c8ec6a51016a646821f5976b010fd4aa76e8e2d5af65635faba6c8f06"
  }
}