{
  "repodata": {
    "build": "py310h3ea3b9a_0",
    "build_number": 0,
    "constrains": [
      "catboost >=0.26,<1.2",
      "hcrystalball ==0.1.10",
      "holidays <0.14",
      "joblib <=1.3.2",
      "joblibspark >=0.5.0",
      "openai ==0.27.8",
      "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",
      "transformers ==4.26",
      "vowpalwabbit >=8.10.0,<9.0.0"
    ],
    "depends": [
      "numpy >=1.17.0,<2.0",
      "python >=3.10,<3.11.0a0"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "6de1474b31978c2cc1151d5f30a22044",
    "name": "flaml",
    "sha256": "064057d89c69b8a49a281b2e70ded7356d8d39543d90fbf7100addcf54456e23",
    "size": 490858,
    "subdir": "win-64",
    "timestamp": 1791980286626,
    "version": "2.3.3"
  },
  "s3": "builds/ci/prefect/WhpV0BDGTpi6ZdKJThYg_w/1791980866/win-64/flaml-2.3.3-py310h3ea3b9a_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "5319537cd024f9d914fbe87f255f14c1c2fb54bf7c74a41f3722e9565fdc5c813fb9f55ecc0382effc648080a2c7c1fb61285352af75c4fa3cbaa3b60a871d09"
  }
}