{
  "repodata": {
    "build": "py310h72bf3cc_0",
    "build_number": 0,
    "constrains": [
      "catboost >=0.26,<1.2",
      "holidays <0.14",
      "joblibspark >=0.5.0",
      "optuna >=2.8.0,<=3.6.1",
      "prophet >=1.0.1",
      "pyspark >=3.2.0",
      "pytorch-forecasting >=0.9.0",
      "ray >=1.13,<2.dev0",
      "statsmodels >=0.12.2",
      "torch >=1.7,!=1.12.0"
    ],
    "depends": [
      "numpy >=1.17.0,<2.0",
      "python >=3.10,<3.11.0a0"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "f8158f581a55b9c1c46bf781de94be98",
    "name": "flaml",
    "sha256": "1e71ae1e10b546036e0a63372c03669d0c4847c07100cf19737d5c285be11b2d",
    "size": 489074,
    "subdir": "linux-aarch64",
    "timestamp": 1791981042601,
    "version": "2.3.3"
  },
  "s3": "builds/ci/prefect/RJivCePvSlq7dAvcXQXr5Q/1791981399/linux-aarch64/flaml-2.3.3-py310h72bf3cc_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "82320c392ccdd4ec89f54da0deabf20dab7c86d10a358f76738ebd5ec958185a13d5ace50c93b55d4ea63a18e28da7a4121ffa24f2f0a2eb62039477f229a10c"
  }
}