





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


lowercase_		:				List[str]				=						logging.get_logger(__name__)

lowercase_		:				int				=						{
    '''microsoft/trocr-base-handwritten''': (
        '''https://huggingface.co/microsoft/trocr-base-handwritten/resolve/main/config.json'''
    ),
    # See all TrOCR models at https://huggingface.co/models?filter=trocr
}


class 			lowercase				(							UpperCAmelCase_     ):



						"""simple docstring"""

						_UpperCamelCase  :	Dict								=	"trocr"
						_UpperCamelCase  :	List[Any]								=	["past_key_values"]
						_UpperCamelCase  :	List[Any]								=	{
						    "num_attention_heads": "decoder_attention_heads",
						    "hidden_size": "d_model",
						    "num_hidden_layers": "decoder_layers",
						}







						def __init__(    self			:		Tuple ,				lowerCamelCase_			:		Any=5_02_65 ,				lowerCamelCase_			:		Optional[Any]=10_24 ,				lowerCamelCase_			:		List[Any]=12 ,				lowerCamelCase_			:		List[Any]=16 ,				lowerCamelCase_			:		str=40_96 ,				lowerCamelCase_			:		List[str]="gelu" ,				lowerCamelCase_			:		List[Any]=5_12 ,				lowerCamelCase_			:		Dict=0.1 ,				lowerCamelCase_			:		Any=0.0 ,				lowerCamelCase_			:		str=0.0 ,				lowerCamelCase_			:		List[str]=2 ,				lowerCamelCase_			:		Tuple=0.02 ,				lowerCamelCase_			:		int=0.0 ,				lowerCamelCase_			:		Dict=True ,				lowerCamelCase_			:		List[str]=False ,				lowerCamelCase_			:		Optional[int]=True ,				lowerCamelCase_			:		Any=True ,				lowerCamelCase_			:		List[Any]=1 ,				lowerCamelCase_			:		List[Any]=0 ,				lowerCamelCase_			:		Union[str, Any]=2 ,				**lowerCamelCase_			:		Optional[int] ,				):





										'''simple docstring'''







										_snake_case :			Dict  						=   vocab_size
										_snake_case :			int  						=   d_model
										_snake_case :			Any  						=   decoder_layers
										_snake_case :			List[Any]  						=   decoder_attention_heads
										_snake_case :			str  						=   decoder_ffn_dim
										_snake_case :			Optional[int]  						=   activation_function
										_snake_case :			Tuple  						=   max_position_embeddings
										_snake_case :			Dict  						=   dropout
										_snake_case :			str  						=   attention_dropout
										_snake_case :			Optional[int]  						=   activation_dropout
										_snake_case :			List[str]  						=   init_std
										_snake_case :			Dict  						=   decoder_layerdrop
										_snake_case :			Dict  						=   use_cache
										_snake_case :			int  						=   scale_embedding
										_snake_case :			str  						=   use_learned_position_embeddings
										_snake_case :			List[Any]  						=   layernorm_embedding

										super().__init__(
										    pad_token_id=_snake_case ,				bos_token_id=_snake_case ,				eos_token_id=_snake_case ,				decoder_start_token_id=_snake_case ,				**_snake_case ,				)












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_		:				Optional[Any]				=						pytest.mark.integration

@pytest.mark.parametrize('path'	,			['paws', 'csv'] )
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase ):
				inspect_dataset(__lowerCAmelCase	,			__lowerCAmelCase )
				_snake_case :			str  						=   path + '.py'
				assert script_name in os.listdir(__lowerCAmelCase )
				assert "__pycache__" not in os.listdir(__lowerCAmelCase )

@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       A__(		__lowerCAmelCase	,			__lowerCAmelCase ):
				inspect_metric(__lowerCAmelCase	,			__lowerCAmelCase )
				_snake_case :			Tuple  						=   path + '.py'
				assert script_name in os.listdir(__lowerCAmelCase )
				assert "__pycache__" not in os.listdir(__lowerCAmelCase )

@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       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			Union[str, Any]  						=   get_dataset_config_info(__lowerCAmelCase	,			config_name=__lowerCAmelCase )
				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       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				with pytest.raises(__lowerCAmelCase ):
								get_dataset_config_info(__lowerCAmelCase	,			config_name=__lowerCAmelCase )

@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       A__(		__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			Optional[Any]  						=   get_dataset_config_names(__lowerCAmelCase )
				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       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			List[Any]  						=   get_dataset_infos(__lowerCAmelCase )
				assert list(infos.keys() ) == expected_configs
				_snake_case :			Any  						=   expected_configs[0]
				assert expected_config in infos
				_snake_case :			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       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			Any  						=   get_dataset_infos(__lowerCAmelCase )
				assert expected_config in infos
				_snake_case :			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       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				with pytest.raises(__lowerCAmelCase ):
								get_dataset_split_names(__lowerCAmelCase	,			config_name=__lowerCAmelCase )






