





'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCAmelCase    					=   logging.get_logger(__name__)

UpperCAmelCase    					=   {
    "roberta-base": "https://huggingface.co/roberta-base/resolve/main/config.json",
    "roberta-large": "https://huggingface.co/roberta-large/resolve/main/config.json",
    "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/config.json",
    "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/config.json",
    "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json",
    "roberta-large-openai-detector": "https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json",
}

class 						a   (				UpperCAmelCase_    ):
				_snake_case		    = "roberta"




				def __init__(							self	:				List[str],    SCREAMING_SNAKE_CASE_	:				Union[str, Any]=5_02_65,    SCREAMING_SNAKE_CASE_	:				List[Any]=7_68,    SCREAMING_SNAKE_CASE_	:				List[str]=12,    SCREAMING_SNAKE_CASE_	:				List[str]=12,    SCREAMING_SNAKE_CASE_	:				Any=30_72,    SCREAMING_SNAKE_CASE_	:				Union[str, Any]="gelu",    SCREAMING_SNAKE_CASE_	:				int=0.1,    SCREAMING_SNAKE_CASE_	:				Union[str, Any]=0.1,    SCREAMING_SNAKE_CASE_	:				Tuple=5_12,    SCREAMING_SNAKE_CASE_	:				Union[str, Any]=2,    SCREAMING_SNAKE_CASE_	:				Any=0.02,    SCREAMING_SNAKE_CASE_	:				Any=1e-12,    SCREAMING_SNAKE_CASE_	:				List[Any]=1,    SCREAMING_SNAKE_CASE_	:				int=0,    SCREAMING_SNAKE_CASE_	:				Any=2,    SCREAMING_SNAKE_CASE_	:				Optional[Any]="absolute",    SCREAMING_SNAKE_CASE_	:				int=True,    SCREAMING_SNAKE_CASE_	:				Any=None,    **SCREAMING_SNAKE_CASE_	:				Any,    ):
										super().__init__(pad_token_id=_snake_case,    bos_token_id=_snake_case,    eos_token_id=_snake_case,    **_snake_case      )

										snake_case       :     Union[str, Any] =    vocab_size
										snake_case       :     Any =    hidden_size
										snake_case       :     Optional[Any] =    num_hidden_layers
										snake_case       :     Union[str, Any] =    num_attention_heads
										snake_case       :     int =    hidden_act
										snake_case       :     List[str] =    intermediate_size
										snake_case       :     Optional[Any] =    hidden_dropout_prob
										snake_case       :     Union[str, Any] =    attention_probs_dropout_prob
										snake_case       :     str =    max_position_embeddings
										snake_case       :     List[Any] =    type_vocab_size
										snake_case       :     int =    initializer_range
										snake_case       :     Optional[Any] =    layer_norm_eps
										snake_case       :     Optional[Any] =    position_embedding_type
										snake_case       :     Tuple =    use_cache
										snake_case       :     Union[str, Any] =    classifier_dropout




class 						a   (				UpperCAmelCase_    ):




				@property
				def 	__snake_case							(							self	:				Dict      ):


										if self.task == "multiple-choice":
																snake_case       :     List[Any] =    {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
										else:
																snake_case       :     Any =    {0: '''batch''', 1: '''sequence'''}
										return OrderedDict(
										    [
										        ('''input_ids''', dynamic_axis),
										        ('''attention_mask''', dynamic_axis),
										    ]      )



'''simple docstring'''





import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


UpperCAmelCase    					=   logging.get_logger(__name__)

class 						a   (				__magic_name__    ):




				def __init__(							self	:				Union[str, Any],    *SCREAMING_SNAKE_CASE_	:				Tuple,    **SCREAMING_SNAKE_CASE_	:				Tuple      ):
										warnings.warn(
										    '''The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
										    ''' Please use LayoutLMv2ImageProcessor instead.''',    SCREAMING_SNAKE_CASE_,    )
										super().__init__(*SCREAMING_SNAKE_CASE_,    **SCREAMING_SNAKE_CASE_      )

