
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,
)


lowercase__          =pytest.mark.integration




@pytest.mark.parametrize('''path'''  ,       ['''paws''', '''csv''']  )
def        __UpperCamelCase					(    lowerCAmelCase__							:    Optional[Any]  ,       lowerCAmelCase__							:    Any  ):
	inspect_dataset(__a  ,       __a  )
	__a			:  List[Any]		    =  path + '.py'
	assert script_name in os.listdir(__a  )
	assert "__pycache__" not in os.listdir(__a  )




@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        __UpperCamelCase					(    lowerCAmelCase__							:    Union[str, Any]  ,       lowerCAmelCase__							:    List[str]  ):
	inspect_metric(__a  ,       __a  )
	__a			:  Optional[int]		    =  path + '.py'
	assert script_name in os.listdir(__a  )
	assert "__pycache__" not in os.listdir(__a  )




@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        __UpperCamelCase					(    lowerCAmelCase__							:    str  ,       lowerCAmelCase__							:    List[str]  ,       lowerCAmelCase__							:    List[str]  ):
	__a			:  List[Any]		    =  get_dataset_config_info(__a  ,       config_name=__a  )
	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        __UpperCamelCase					(    lowerCAmelCase__							:    Dict  ,       lowerCAmelCase__							:    Optional[Any]  ,       lowerCAmelCase__							:    Optional[int]  ):

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




@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        __UpperCamelCase					(    lowerCAmelCase__							:    int  ,       lowerCAmelCase__							:    Optional[Any]  ):
	__a			:  str		    =  get_dataset_config_names(__a  )
	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        __UpperCamelCase					(    lowerCAmelCase__							:    Tuple  ,       lowerCAmelCase__							:    Optional[int]  ,       lowerCAmelCase__							:    Any  ):
	__a			:  List[Any]		    =  get_dataset_infos(__a  )
	assert list(infos.keys()  ) == expected_configs
	__a			:  List[Any]		    =  expected_configs[0]
	assert expected_config in infos
	__a			:  Dict		    =  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        __UpperCamelCase					(    lowerCAmelCase__							:    Optional[Any]  ,       lowerCAmelCase__							:    List[Any]  ,       lowerCAmelCase__							:    Optional[int]  ):
	__a			:  Optional[Any]		    =  get_dataset_infos(__a  )
	assert expected_config in infos
	__a			:  Tuple		    =  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        __UpperCamelCase					(    lowerCAmelCase__							:    Union[str, Any]  ,       lowerCAmelCase__							:    List[str]  ,       lowerCAmelCase__							:    Optional[int]  ):

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


from transformers import BertTokenizerFast

from .custom_tokenization import CustomTokenizer



class 		UpperCamelCase__  (	__lowercase   ):
   _SCREAMING_SNAKE_CASE				:							Union[str, Any]     	=				CustomTokenizer
   pass
