






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__   :      Union[str, Any]				=		pytest.mark.integration

@pytest.mark.parametrize('''path''',	['''paws''', '''csv''']			)
def   __lowercase       (			snake_case,	snake_case			):







				"""simple docstring"""






				inspect_dataset(snake_case,	snake_case			)
				__magic_name__		:Optional[Any]   =   path + '''.py'''
				assert script_name in os.listdir(snake_case			)
				assert "__pycache__" not in os.listdir(snake_case			)

@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   __lowercase       (			snake_case,	snake_case			):







				"""simple docstring"""






				inspect_metric(snake_case,	snake_case			)
				__magic_name__		:Dict   =   path + '''.py'''
				assert script_name in os.listdir(snake_case			)
				assert "__pycache__" not in os.listdir(snake_case			)

@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   __lowercase       (			snake_case,	snake_case,	snake_case			):







				"""simple docstring"""






				__magic_name__		:int   =   get_dataset_config_info(snake_case,	config_name=snake_case			)
				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   __lowercase       (			snake_case,	snake_case,	snake_case			):







				"""simple docstring"""






				with pytest.raises(snake_case			):
								get_dataset_config_info(snake_case,	config_name=snake_case			)

@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   __lowercase       (			snake_case,	snake_case			):







				"""simple docstring"""






				__magic_name__		:Tuple   =   get_dataset_config_names(snake_case			)
				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   __lowercase       (			snake_case,	snake_case,	snake_case			):







				"""simple docstring"""






				__magic_name__		:int   =   get_dataset_infos(snake_case			)
				assert list(infos.keys()			) == expected_configs
				__magic_name__		:List[Any]   =   expected_configs[0]
				assert expected_config in infos
				__magic_name__		:int   =   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   __lowercase       (			snake_case,	snake_case,	snake_case			):







				"""simple docstring"""






				__magic_name__		:Optional[int]   =   get_dataset_infos(snake_case			)
				assert expected_config in infos
				__magic_name__		:Optional[int]   =   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   __lowercase       (			snake_case,	snake_case,	snake_case			):







				"""simple docstring"""






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













'''simple docstring'''

import string
from math import logaa





def 		UpperCamelCase							(				_lowerCamelCase   :   str		,			_lowerCamelCase   :   str			):
    A__							=     document.translate(
        str.maketrans(""		,			""		,			string.punctuation			)			).replace("\n"		,			""			)
    A__							=     document_without_punctuation.split(" "			)  # word tokenization
    return len([word for word in tokenize_document if word.lower() == term.lower()]			)





def 		UpperCamelCase							(				_lowerCamelCase   :   str		,			_lowerCamelCase   :   str			):
    A__							=     corpus.lower().translate(
        str.maketrans(""		,			""		,			string.punctuation			)			)  # strip all punctuation and replace it with ''
    A__							=     corpus_without_punctuation.split("\n"			)
    A__							=     term.lower()
    return (len([doc for doc in docs if term in doc]			), len(_lowerCamelCase			))





def 		UpperCamelCase							(				_lowerCamelCase   :   int		,			_lowerCamelCase   :   int		,			_lowerCamelCase   :   Tuple=False			):
    if smoothing:
        if n == 0:
            raise ValueError("log10(0) is undefined."			)
        return round(1 + logaa(n / (1 + df)			)		,			3			)

    if df == 0:
        raise ZeroDivisionError("df must be > 0"			)
    elif n == 0:
        raise ValueError("log10(0) is undefined."			)
    return round(logaa(n / df			)		,			3			)





def 		UpperCamelCase							(				_lowerCamelCase   :   int		,			_lowerCamelCase   :   int			):
    return round(tf * idf		,			3			)



