

'''simple docstring'''





import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


SCREAMING_SNAKE_CASE_        =      pytest.mark.integration

@pytest.mark.parametrize("path"  ,      ["paws", "csv"] )
def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Any  ,      lowerCAmelCase:  int )   ->       str:
				inspect_dataset(_UpperCAmelCase  ,      _UpperCAmelCase )
				_UpperCAmelCase       :		List[str] 		=    path + ".py"
				assert script_name in os.listdir(_UpperCAmelCase )
				assert "__pycache__" not in os.listdir(_UpperCAmelCase )

@pytest.mark.filterwarnings("ignore:inspect_metric is deprecated:FutureWarning" )
@pytest.mark.filterwarnings("ignore:metric_module_factory is deprecated:FutureWarning" )
@pytest.mark.parametrize("path"  ,      ["accuracy"] )
def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Optional[Any]  ,      lowerCAmelCase:  Optional[int] )   ->       Optional[int]:
				inspect_metric(_UpperCAmelCase  ,      _UpperCAmelCase )
				_UpperCAmelCase       :		Dict 		=    path + ".py"
				assert script_name in os.listdir(_UpperCAmelCase )
				assert "__pycache__" not in os.listdir(_UpperCAmelCase )

@pytest.mark.parametrize(
    "path, config_name, expected_splits"  ,      [
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]  ,      )
def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  List[Any]  ,      lowerCAmelCase:  Dict  ,      lowerCAmelCase:  List[Any] )   ->       Any:
				_UpperCAmelCase       :		Union[str, Any] 		=    get_dataset_config_info(_UpperCAmelCase  ,      config_name=_UpperCAmelCase )
				assert info.config_name == config_name
				assert list(info.splits.keys() ) == expected_splits

@pytest.mark.parametrize(
    "path, config_name, expected_exception"  ,      [
        ("paws", None, ValueError),
    ]  ,      )
def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Optional[int]  ,      lowerCAmelCase:  Union[str, Any]  ,      lowerCAmelCase:  str )   ->       Tuple:
				with pytest.raises(_UpperCAmelCase ):
								get_dataset_config_info(_UpperCAmelCase  ,      config_name=_UpperCAmelCase )

@pytest.mark.parametrize(
    "path, expected"  ,      [
        ("squad", "plain_text"),
        ("acronym_identification", "default"),
        ("lhoestq/squad", "plain_text"),
        ("lhoestq/test", "default"),
        ("lhoestq/demo1", "lhoestq--demo1"),
        ("dalle-mini/wit", "dalle-mini--wit"),
    ]  ,      )
def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  List[Any]  ,      lowerCAmelCase:  int )   ->       Dict:
				_UpperCAmelCase       :		Any 		=    get_dataset_config_names(_UpperCAmelCase )
				assert expected in config_names

@pytest.mark.parametrize(
    "path, expected_configs, expected_splits_in_first_config"  ,      [
        ("squad", ["plain_text"], ["train", "validation"]),
        ("dalle-mini/wit", ["dalle-mini--wit"], ["train"]),
        ("paws", ["labeled_final", "labeled_swap", "unlabeled_final"], ["train", "test", "validation"]),
    ]  ,      )
def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  int  ,      lowerCAmelCase:  Any  ,      lowerCAmelCase:  Dict )   ->       Optional[Any]:
				_UpperCAmelCase       :		Union[str, Any] 		=    get_dataset_infos(_UpperCAmelCase )
				assert list(infos.keys() ) == expected_configs
				_UpperCAmelCase       :		str 		=    expected_configs[0]
				assert expected_config in infos
				_UpperCAmelCase       :		List[str] 		=    infos[expected_config]
				assert info.config_name == expected_config
				assert list(info.splits.keys() ) == expected_splits_in_first_config

@pytest.mark.parametrize(
    "path, expected_config, expected_splits"  ,      [
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]  ,      )
def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Tuple  ,      lowerCAmelCase:  str  ,      lowerCAmelCase:  List[str] )   ->       str:
				_UpperCAmelCase       :		Any 		=    get_dataset_infos(_UpperCAmelCase )
				assert expected_config in infos
				_UpperCAmelCase       :		Any 		=    infos[expected_config]
				assert info.config_name == expected_config
				assert list(info.splits.keys() ) == expected_splits





@pytest.mark.parametrize(
    "path, config_name, expected_exception"  ,      [
        ("paws", None, ValueError),
    ]  ,      )
def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Dict  ,      lowerCAmelCase:  Optional[int]  ,      lowerCAmelCase:  List[Any] )   ->       int:
				with pytest.raises(_UpperCAmelCase ):
								get_dataset_split_names(_UpperCAmelCase  ,      config_name=_UpperCAmelCase )





import fire

from utils import calculate_rouge, save_json

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  int  ,      lowerCAmelCase:  Tuple  ,      lowerCAmelCase:  Any=None  ,      **lowerCAmelCase:  Any )   ->       Dict:
				_UpperCAmelCase       :		Optional[Any] 		=    [x.strip() for x in open(lowerCAmelCase ).readlines()]
				_UpperCAmelCase       :		str 		=    [x.strip() for x in open(lowerCAmelCase ).readlines()][: len(lowerCAmelCase )]
				_UpperCAmelCase       :		str 		=    calculate_rouge(lowerCAmelCase  ,      lowerCAmelCase  ,      **lowerCAmelCase )
				if save_path is not None:
								save_json(lowerCAmelCase  ,      lowerCAmelCase  ,      indent=lowerCAmelCase )
				return metrics  # these print nicely


if __name__ == "__main__":
					fire.Fire(calculate_rouge_path)


