{
  "repodata": {
    "build": "py312hd595a79_0",
    "build_number": 0,
    "depends": [
      "_openmp_mutex * *_msvc",
      "matplotlib-base",
      "narwhals >=2.0",
      "numpy",
      "pandas >=2.1.0",
      "python >=3.12,<3.13.0a0",
      "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": "3e3cb3c3c81b0fd9caff9ace4a1eb4c0",
    "name": "hierarchicalforecast",
    "sha256": "fbc897d6f75a5111ffe84cf0ecf06f5763c1c95b658a0924dafbb6d06a613363",
    "size": 205333,
    "subdir": "win-64",
    "timestamp": 1784199822161,
    "version": "1.5.1"
  },
  "s3": "builds/ci/prefect/M6l7HEp2RhCUj2Z3WpvR1g/1784201703/win-64/hierarchicalforecast-1.5.1-py312hd595a79_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "06055861338ab3f8317f64ee1e862b635e538d4e67f4d7c1a70a7e43279e5c10204db91c76c69e0ed6ddcfa491d4a5d276c51b384914b77ad1c4cffe2f3a2d07"
  }
}