{
  "info": {
    "subdir": "win-64"
  },
  "packages": {
    "flaml-2.3.3-py310h3ea3b9a_0.tar.bz2": {
      "build": "py310h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.9.0",
        "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,<5",
        "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": "6d854aee0803e553722021f690c4dd6a",
      "name": "flaml",
      "sha256": "a45f9091b8e5349c6553f1677fc47dd72ecc4a826871a3ca51121406537e1f16",
      "size": 484911,
      "subdir": "win-64",
      "timestamp": 1791978970443,
      "version": "2.3.3"
    },
    "flaml-2.3.3-py311h3ea3b9a_0.tar.bz2": {
      "build": "py311h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.9.0",
        "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,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "numpy >=1.17.0,<2.0",
        "python >=3.11,<3.12.0a0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "c870461e1d62bc88fbcd2a85f57f3fb5",
      "name": "flaml",
      "sha256": "c00f4d43d5439f7af81d23fdd2b82a5c43c40c257a8cf6156034e98b89c185c7",
      "size": 648350,
      "subdir": "win-64",
      "timestamp": 1791978975998,
      "version": "2.3.3"
    },
    "flaml-2.3.3-py312h3ea3b9a_0.tar.bz2": {
      "build": "py312h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.9.0",
        "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,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "numpy >=1.17.0,<2.0",
        "python >=3.12,<3.13.0a0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "a96d94c433c438e7e6df2aa74a6f8ce1",
      "name": "flaml",
      "sha256": "303112a9f7f7ae3b30d741097b851a81dbc0f67ae3d411c4a286d34d9596e614",
      "size": 623670,
      "subdir": "win-64",
      "timestamp": 1791978989788,
      "version": "2.3.3"
    },
    "flaml-2.3.3-py313h3ea3b9a_0.tar.bz2": {
      "build": "py313h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.9.0",
        "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,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "numpy >=1.17.0,<2.0",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "f5e94e3297ed896d9b225b36192ee46e",
      "name": "flaml",
      "sha256": "f3b041a1347fcc63b6e8963571939b128740b9be42a78f6a0490c3c7596b1717",
      "size": 629544,
      "subdir": "win-64",
      "timestamp": 1791978984373,
      "version": "2.3.3"
    },
    "flaml-2.3.3-py314h3ea3b9a_0.tar.bz2": {
      "build": "py314h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.9.0",
        "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,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "numpy >=1.17.0,<2.0",
        "python >=3.14,<3.15.0a0",
        "python_abi 3.14.* *_cp314"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "4fea7c60dc897bfed46248766e97cfed",
      "name": "flaml",
      "sha256": "92edbb54fed2b08194d51c20cccb9550c12baf7113499fd7ffed304377878894",
      "size": 649550,
      "subdir": "win-64",
      "timestamp": 1791978975507,
      "version": "2.3.3"
    }
  },
  "packages.conda": {
    "flaml-2.3.3-py310h3ea3b9a_0.conda": {
      "build": "py310h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.9.0",
        "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,<5",
        "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": "21f32029a39f25a12c84dcd6d3eb44f1",
      "name": "flaml",
      "sha256": "8ef70a8bbbd0036e87014548f8149fc4b2540d6059df48ee770d5321c7fc2d78",
      "size": 451224,
      "subdir": "win-64",
      "timestamp": 1791978970443,
      "version": "2.3.3"
    },
    "flaml-2.3.3-py311h3ea3b9a_0.conda": {
      "build": "py311h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.9.0",
        "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,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "numpy >=1.17.0,<2.0",
        "python >=3.11,<3.12.0a0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "6b7a5e05e1ea18c1687debac40336d8b",
      "name": "flaml",
      "sha256": "40b77df321e9d6ffa1bdd898b3dfcd12af1af314b9df39c58bf7541a54c21a24",
      "size": 609118,
      "subdir": "win-64",
      "timestamp": 1791978975998,
      "version": "2.3.3"
    },
    "flaml-2.3.3-py312h3ea3b9a_0.conda": {
      "build": "py312h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.9.0",
        "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,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "numpy >=1.17.0,<2.0",
        "python >=3.12,<3.13.0a0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "c0e35e1602db9c9072a06ab9adec9fde",
      "name": "flaml",
      "sha256": "4c649daf9ffc460c02ede90addc8d5f51d17cf5c311f2aee8af16df17e98d77e",
      "size": 592275,
      "subdir": "win-64",
      "timestamp": 1791978989788,
      "version": "2.3.3"
    },
    "flaml-2.3.3-py313h3ea3b9a_0.conda": {
      "build": "py313h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.9.0",
        "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,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "numpy >=1.17.0,<2.0",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "ec04909eb45f316bd0333f21c0a288d9",
      "name": "flaml",
      "sha256": "a3a4950e1a6b7266b52cac4f5efd2aca652e1fc156684092c07a4f37f3a42327",
      "size": 602039,
      "subdir": "win-64",
      "timestamp": 1791978984373,
      "version": "2.3.3"
    },
    "flaml-2.3.3-py314h3ea3b9a_0.conda": {
      "build": "py314h3ea3b9a_0",
      "build_number": 0,
      "constrains": [
        "catboost >=0.26",
        "hcrystalball >=0.9.0",
        "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,<5",
        "vowpalwabbit >=8.10.0,<9.0.0"
      ],
      "depends": [
        "numpy >=1.17.0,<2.0",
        "python >=3.14,<3.15.0a0",
        "python_abi 3.14.* *_cp314"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "b78485a3c043d2749afc2bb2277433a8",
      "name": "flaml",
      "sha256": "cdd2824549a8e3f093319aecaad24a9af5b9bbeafefbf6498862058ed87a5e18",
      "size": 615940,
      "subdir": "win-64",
      "timestamp": 1791978975507,
      "version": "2.3.3"
    }
  },
  "removed": [],
  "repodata_version": 1
}