



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 	SCREAMING_SNAKE_CASE_							(	_snake_case	:str	,   _snake_case	:int				)  ->     Tuple:
   inspect_dataset(_snake_case	,   _snake_case				)
   _A      =       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 	SCREAMING_SNAKE_CASE_							(	_snake_case	:List[Any]	,   _snake_case	:Union[str, Any]				)  ->     Any:
   inspect_metric(_snake_case	,   _snake_case				)
   _A      =       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 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Optional[int]	,   _snake_case	:List[str]	,   _snake_case	:str				)  ->     Union[str, Any]:
   _A      =       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 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Optional[Any]	,   _snake_case	:str	,   _snake_case	:List[str]				)  ->     Any:
   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 	SCREAMING_SNAKE_CASE_							(	_snake_case	:str	,   _snake_case	:int				)  ->     List[str]:
   _A      =       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 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Union[str, Any]	,   _snake_case	:Any	,   _snake_case	:Any				)  ->     Optional[Any]:
   _A      =       get_dataset_infos(_snake_case				)
   assert list(infos.keys()				) == expected_configs
   _A      =       expected_configs[0]
   assert expected_config in infos
   _A      =       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_							(	_snake_case	:Optional[Any]	,   _snake_case	:Optional[Any]	,   _snake_case	:Any				)  ->     str:
   _A      =       get_dataset_infos(_snake_case				)
   assert expected_config in infos
   _A      =       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_							(	_snake_case	:Optional[int]	,   _snake_case	:Tuple	,   _snake_case	:Dict				)  ->     List[str]:
   with pytest.raises(_snake_case				):
      get_dataset_split_names(_snake_case	,   config_name=_snake_case				)










from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_							=				logging.get_logger(__name__)

UpperCAmelCase_							=				{
    """google/canine-s""": """https://huggingface.co/google/canine-s/resolve/main/config.json""",
    # See all CANINE models at https://huggingface.co/models?filter=canine
}
class     UpperCamelCase__					(     lowerCamelCase__				):






		'''simple docstring'''






		__a       :       Optional[int]       =	"""canine"""






		def __init__(							self,   snake_case__=7_68,   snake_case__=12,   snake_case__=12,   snake_case__=30_72,   snake_case__="gelu",   snake_case__=0.1,   snake_case__=0.1,   snake_case__=1_63_84,   snake_case__=16,   snake_case__=0.02,   snake_case__=1E-12,   snake_case__=0,   snake_case__=0XE_0_0_0,   snake_case__=0XE_0_0_1,   snake_case__=4,   snake_case__=4,   snake_case__=8,   snake_case__=1_63_84,   snake_case__=1_28,   **snake_case__,   )       -> Optional[int]:






									"""simple docstring"""
									super().__init__(pad_token_id=snake_case__,   bos_token_id=snake_case__,   eos_token_id=snake_case__,   **snake_case__  )

									lowercase_	:   int  				=     max_position_embeddings
									lowercase_	:   Union[str, Any]  				=     hidden_size
									lowercase_	:   Optional[Any]  				=     num_hidden_layers
									lowercase_	:   str  				=     num_attention_heads
									lowercase_	:   List[Any]  				=     intermediate_size
									lowercase_	:   Optional[Any]  				=     hidden_act
									lowercase_	:   List[str]  				=     hidden_dropout_prob
									lowercase_	:   Any  				=     attention_probs_dropout_prob
									lowercase_	:   Union[str, Any]  				=     initializer_range
									lowercase_	:   Optional[Any]  				=     type_vocab_size
									lowercase_	:   Dict  				=     layer_norm_eps

									# Character config:
									lowercase_	:   Optional[int]  				=     downsampling_rate
									lowercase_	:   List[str]  				=     upsampling_kernel_size
									lowercase_	:   int  				=     num_hash_functions
									lowercase_	:   List[str]  				=     num_hash_buckets
									lowercase_	:   List[str]  				=     local_transformer_stride