{
  "info": {
    "subdir": "win-64"
  },
  "packages": {
    "flaml-2.3.3-py310h3ea3b9a_0.tar.bz2": {
      "build": "py310h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.1.10,<0.2",
        "holidays <0.14",
        "joblibspark >=0.5.0",
        "openai >=0.27.4,<0.30",
        "optuna >=2.8.0,<=3.6.1",
        "prophet >=1.0.1",
        "pyspark >=3.2.0",
        "pytorch-forecasting >=0.9.0",
        "ray ~=1.13",
        "statsmodels >=0.12.2",
        "torch >=1.7,!=1.12.0",
        "transformers >=4.26,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "lightgbm >=2.3.1",
        "numpy >=2.0,<2.2.2",
        "pandas >=1.1.4,<2.0",
        "python >=3.10,<3.11.0a0",
        "scikit-learn >=0.24",
        "scipy >=1.4.1",
        "xgboost >=0.90,<2.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "305f9c4feab5d8b6fed5f9f7ec805557",
      "name": "flaml",
      "sha256": "7be1435159cd8c253653528e905f5ef0d166b92eb28a53ec5cfd5833141114f1",
      "size": 487801,
      "subdir": "win-64",
      "timestamp": 1791977691683,
      "version": "2.3.3"
    },
    "flaml-2.3.3-py311h3ea3b9a_0.tar.bz2": {
      "build": "py311h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.1.10,<0.2",
        "holidays <0.14",
        "joblibspark >=0.5.0",
        "openai >=0.27.4,<0.30",
        "optuna >=2.8.0,<=3.6.1",
        "prophet >=1.0.1",
        "pyspark >=3.2.0",
        "pytorch-forecasting >=0.9.0",
        "ray ~=1.13",
        "statsmodels >=0.12.2",
        "torch >=1.7,!=1.12.0",
        "transformers >=4.26,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "lightgbm >=2.3.1",
        "numpy >=2.0,<2.2.2",
        "pandas >=1.1.4,<2.0",
        "python >=3.11,<3.12.0a0",
        "scikit-learn >=0.24",
        "scipy >=1.4.1",
        "xgboost >=0.90,<2.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "53e9bca1c103702b10abbdf493ead7d4",
      "name": "flaml",
      "sha256": "880fcc47a94b6507d05acb28c25eed4f3a6485c1603601c8f8ed24f3807fc6dc",
      "size": 648048,
      "subdir": "win-64",
      "timestamp": 1791977694253,
      "version": "2.3.3"
    },
    "flaml-2.3.3-py312h3ea3b9a_0.tar.bz2": {
      "build": "py312h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.1.10,<0.2",
        "holidays <0.14",
        "joblibspark >=0.5.0",
        "openai >=0.27.4,<0.30",
        "optuna >=2.8.0,<=3.6.1",
        "prophet >=1.0.1",
        "pyspark >=3.2.0",
        "pytorch-forecasting >=0.9.0",
        "ray ~=1.13",
        "statsmodels >=0.12.2",
        "torch >=1.7,!=1.12.0",
        "transformers >=4.26,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "lightgbm >=2.3.1",
        "numpy >=2.0,<2.2.2",
        "pandas >=1.1.4,<2.0",
        "python >=3.12,<3.13.0a0",
        "scikit-learn >=0.24",
        "scipy >=1.4.1",
        "xgboost >=0.90,<2.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "0d9245783bd6d4013415ea622238d944",
      "name": "flaml",
      "sha256": "f83354b53d662a3d45ad59a90d1cae93742bad1cbad191a564ef595410e92062",
      "size": 626030,
      "subdir": "win-64",
      "timestamp": 1791977732637,
      "version": "2.3.3"
    },
    "flaml-2.3.3-py313h3ea3b9a_0.tar.bz2": {
      "build": "py313h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.1.10,<0.2",
        "holidays <0.14",
        "joblibspark >=0.5.0",
        "openai >=0.27.4,<0.30",
        "optuna >=2.8.0,<=3.6.1",
        "prophet >=1.0.1",
        "pyspark >=3.2.0",
        "pytorch-forecasting >=0.9.0",
        "ray ~=1.13",
        "statsmodels >=0.12.2",
        "torch >=1.7,!=1.12.0",
        "transformers >=4.26,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "lightgbm >=2.3.1",
        "numpy >=2.0,<2.2.2",
        "pandas >=1.1.4,<2.0",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "scikit-learn >=0.24",
        "scipy >=1.4.1",
        "xgboost >=0.90,<2.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "f554865c11c6aeb1b1c455c422ad53d6",
      "name": "flaml",
      "sha256": "f406fecebd4023e8d2131d9142a9e984d9ca86fe853c266a00953ac9561dd806",
      "size": 630909,
      "subdir": "win-64",
      "timestamp": 1791977732146,
      "version": "2.3.3"
    },
    "flaml-2.3.3-py314h3ea3b9a_0.tar.bz2": {
      "build": "py314h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.1.10,<0.2",
        "holidays <0.14",
        "joblibspark >=0.5.0",
        "openai >=0.27.4,<0.30",
        "optuna >=2.8.0,<=3.6.1",
        "prophet >=1.0.1",
        "pyspark >=3.2.0",
        "pytorch-forecasting >=0.9.0",
        "ray ~=1.13",
        "statsmodels >=0.12.2",
        "torch >=1.7,!=1.12.0",
        "transformers >=4.26,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "lightgbm >=2.3.1",
        "numpy >=2.0,<2.2.2",
        "pandas >=1.1.4,<2.0",
        "python >=3.14,<3.15.0a0",
        "python_abi 3.14.* *_cp314",
        "scikit-learn >=0.24",
        "scipy >=1.4.1",
        "xgboost >=0.90,<2.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "e76c01d7e29e4206e7bf7b62a1fa820e",
      "name": "flaml",
      "sha256": "4c41e0c89b0b456fcedb416ffa98c448a8f0051a82622463c8e922cf9d105549",
      "size": 643629,
      "subdir": "win-64",
      "timestamp": 1791977693656,
      "version": "2.3.3"
    }
  },
  "packages.conda": {
    "flaml-2.3.3-py310h3ea3b9a_0.conda": {
      "build": "py310h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.1.10,<0.2",
        "holidays <0.14",
        "joblibspark >=0.5.0",
        "openai >=0.27.4,<0.30",
        "optuna >=2.8.0,<=3.6.1",
        "prophet >=1.0.1",
        "pyspark >=3.2.0",
        "pytorch-forecasting >=0.9.0",
        "ray ~=1.13",
        "statsmodels >=0.12.2",
        "torch >=1.7,!=1.12.0",
        "transformers >=4.26,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "lightgbm >=2.3.1",
        "numpy >=2.0,<2.2.2",
        "pandas >=1.1.4,<2.0",
        "python >=3.10,<3.11.0a0",
        "scikit-learn >=0.24",
        "scipy >=1.4.1",
        "xgboost >=0.90,<2.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "ebfb63e840f14566f8b2181070c85e37",
      "name": "flaml",
      "sha256": "e454b01a3d4203116ead633eecf640d5f6c9dddf60d3feedcb4be22836eb27d3",
      "size": 454444,
      "subdir": "win-64",
      "timestamp": 1791977691683,
      "version": "2.3.3"
    },
    "flaml-2.3.3-py311h3ea3b9a_0.conda": {
      "build": "py311h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.1.10,<0.2",
        "holidays <0.14",
        "joblibspark >=0.5.0",
        "openai >=0.27.4,<0.30",
        "optuna >=2.8.0,<=3.6.1",
        "prophet >=1.0.1",
        "pyspark >=3.2.0",
        "pytorch-forecasting >=0.9.0",
        "ray ~=1.13",
        "statsmodels >=0.12.2",
        "torch >=1.7,!=1.12.0",
        "transformers >=4.26,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "lightgbm >=2.3.1",
        "numpy >=2.0,<2.2.2",
        "pandas >=1.1.4,<2.0",
        "python >=3.11,<3.12.0a0",
        "scikit-learn >=0.24",
        "scipy >=1.4.1",
        "xgboost >=0.90,<2.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "974ad4e7c525d771eada673e48a29f6d",
      "name": "flaml",
      "sha256": "4cd78f037ebb580eb020433af485099122f2d053925ef5f8b43487e4db08cb93",
      "size": 607708,
      "subdir": "win-64",
      "timestamp": 1791977694253,
      "version": "2.3.3"
    },
    "flaml-2.3.3-py312h3ea3b9a_0.conda": {
      "build": "py312h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.1.10,<0.2",
        "holidays <0.14",
        "joblibspark >=0.5.0",
        "openai >=0.27.4,<0.30",
        "optuna >=2.8.0,<=3.6.1",
        "prophet >=1.0.1",
        "pyspark >=3.2.0",
        "pytorch-forecasting >=0.9.0",
        "ray ~=1.13",
        "statsmodels >=0.12.2",
        "torch >=1.7,!=1.12.0",
        "transformers >=4.26,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "lightgbm >=2.3.1",
        "numpy >=2.0,<2.2.2",
        "pandas >=1.1.4,<2.0",
        "python >=3.12,<3.13.0a0",
        "scikit-learn >=0.24",
        "scipy >=1.4.1",
        "xgboost >=0.90,<2.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "9ed581650c638e01953b911aee66ba68",
      "name": "flaml",
      "sha256": "c1fce0d8dd1afbad357db7bdb63ebeceb3cd55fe5069d728f4d76ce5516d81d3",
      "size": 592010,
      "subdir": "win-64",
      "timestamp": 1791977732637,
      "version": "2.3.3"
    },
    "flaml-2.3.3-py313h3ea3b9a_0.conda": {
      "build": "py313h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.1.10,<0.2",
        "holidays <0.14",
        "joblibspark >=0.5.0",
        "openai >=0.27.4,<0.30",
        "optuna >=2.8.0,<=3.6.1",
        "prophet >=1.0.1",
        "pyspark >=3.2.0",
        "pytorch-forecasting >=0.9.0",
        "ray ~=1.13",
        "statsmodels >=0.12.2",
        "torch >=1.7,!=1.12.0",
        "transformers >=4.26,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "lightgbm >=2.3.1",
        "numpy >=2.0,<2.2.2",
        "pandas >=1.1.4,<2.0",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "scikit-learn >=0.24",
        "scipy >=1.4.1",
        "xgboost >=0.90,<2.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "78c3cbf45c01e934dbcb172f6ef07a98",
      "name": "flaml",
      "sha256": "2b85c08f9be58db07762d2b3dfeee6d10cce944e0488a40f7806b19537a040ba",
      "size": 601154,
      "subdir": "win-64",
      "timestamp": 1791977732146,
      "version": "2.3.3"
    },
    "flaml-2.3.3-py314h3ea3b9a_0.conda": {
      "build": "py314h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.1.10,<0.2",
        "holidays <0.14",
        "joblibspark >=0.5.0",
        "openai >=0.27.4,<0.30",
        "optuna >=2.8.0,<=3.6.1",
        "prophet >=1.0.1",
        "pyspark >=3.2.0",
        "pytorch-forecasting >=0.9.0",
        "ray ~=1.13",
        "statsmodels >=0.12.2",
        "torch >=1.7,!=1.12.0",
        "transformers >=4.26,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "lightgbm >=2.3.1",
        "numpy >=2.0,<2.2.2",
        "pandas >=1.1.4,<2.0",
        "python >=3.14,<3.15.0a0",
        "python_abi 3.14.* *_cp314",
        "scikit-learn >=0.24",
        "scipy >=1.4.1",
        "xgboost >=0.90,<2.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "52831863b7ad15340031d101a605701f",
      "name": "flaml",
      "sha256": "c995ae6489d74aea3224c486fa2c133f61ee69baee6fc32394e7f2fb40cd2090",
      "size": 616912,
      "subdir": "win-64",
      "timestamp": 1791977693656,
      "version": "2.3.3"
    }
  },
  "removed": [],
  "repodata_version": 1
}