





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,
)


UpperCAmelCase_ 							=       pytest.mark.integration





@pytest.mark.parametrize('path'    ,      ['paws', 'csv']  )
def   lowerCamelCase__       (       UpperCamelCase__     :    Any    ,      UpperCamelCase__     :    Optional[Any]  )     ->	Optional[Any]:



					'''simple docstring'''




					inspect_dataset(UpperCamelCase__    ,      UpperCamelCase__  )
					_snake_case													=			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   lowerCamelCase__       (       UpperCamelCase__     :    Optional[int]    ,      UpperCamelCase__     :    str  )     ->	Tuple:



					'''simple docstring'''




					inspect_metric(UpperCamelCase__    ,      UpperCamelCase__  )
					_snake_case													=			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   lowerCamelCase__       (       UpperCamelCase__     :    int    ,      UpperCamelCase__     :    str    ,      UpperCamelCase__     :    int  )     ->	List[str]:



					'''simple docstring'''




					_snake_case													=			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   lowerCamelCase__       (       UpperCamelCase__     :    Optional[int]    ,      UpperCamelCase__     :    Any    ,      UpperCamelCase__     :    str  )     ->	Optional[int]:



					'''simple docstring'''




					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   lowerCamelCase__       (       UpperCamelCase__     :    int    ,      UpperCamelCase__     :    Optional[Any]  )     ->	List[Any]:



					'''simple docstring'''




					_snake_case													=			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   lowerCamelCase__       (       UpperCamelCase__     :    int    ,      UpperCamelCase__     :    List[str]    ,      UpperCamelCase__     :    Optional[Any]  )     ->	Any:



					'''simple docstring'''




					_snake_case													=			get_dataset_infos(UpperCamelCase__  )
					assert list(infos.keys()  ) == expected_configs
					_snake_case													=			expected_configs[0]
					assert expected_config in infos
					_snake_case													=			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   lowerCamelCase__       (       UpperCamelCase__     :    Tuple    ,      UpperCamelCase__     :    Union[str, Any]    ,      UpperCamelCase__     :    Any  )     ->	List[Any]:



					'''simple docstring'''




					_snake_case													=			get_dataset_infos(UpperCamelCase__  )
					assert expected_config in infos
					_snake_case													=			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   lowerCamelCase__       (       UpperCamelCase__     :    Any    ,      UpperCamelCase__     :    Tuple    ,      UpperCamelCase__     :    Tuple  )     ->	int:



					'''simple docstring'''




					with pytest.raises(UpperCamelCase__  ):
										get_dataset_split_names(UpperCamelCase__    ,      config_name=UpperCamelCase__  )










from collections.abc import Sequence





def   lowerCamelCase__       (       UpperCamelCase__     :    Sequence[float]    ,      UpperCamelCase__     :    bool = False  )     ->	float:



					'''simple docstring'''




					if not arr:
										return 0

					_snake_case													=			0 if allow_empty_subarrays else float('-inf'  )
					_snake_case													=			0.0
					for num in arr:
										_snake_case													=			max(0 if allow_empty_subarrays else num    ,      curr_sum + num  )
										_snake_case													=			max(UpperCamelCase__    ,      UpperCamelCase__  )

					return max_sum


if __name__ == "__main__":
					from doctest import testmod

					testmod()

					UpperCAmelCase_ 							=       [-2, 1, -3, 4, -1, 2, 1, -5, 4]
					print(F"{max_subarray_sum(nums) = }")



