


'''simple docstring'''




from collections import OrderedDict
from typing import Mapping

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


__snake_case    						=logging.get_logger(__name__)

__snake_case    						={
    """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 		UpperCAmelCase_      (  __lowercase		):
     lowerCamelCase				:	int		=     '''roberta'''





     def __init__( self       :      Optional[Any]    ,      UpperCAmelCase__       :      Tuple=5_0_2_6_5    ,      UpperCAmelCase__       :      str=7_6_8    ,      UpperCAmelCase__       :      Optional[Any]=1_2    ,      UpperCAmelCase__       :      Optional[int]=1_2    ,      UpperCAmelCase__       :      int=3_0_7_2    ,      UpperCAmelCase__       :      Any="gelu"    ,      UpperCAmelCase__       :      Union[str, Any]=0.1    ,      UpperCAmelCase__       :      List[Any]=0.1    ,      UpperCAmelCase__       :      Any=5_1_2    ,      UpperCAmelCase__       :      List[Any]=2    ,      UpperCAmelCase__       :      List[str]=0.02    ,      UpperCAmelCase__       :      Optional[Any]=1E-12    ,      UpperCAmelCase__       :      str=1    ,      UpperCAmelCase__       :      Optional[int]=0    ,      UpperCAmelCase__       :      str=2    ,      UpperCAmelCase__       :      List[str]="absolute"    ,      UpperCAmelCase__       :      Optional[int]=True    ,      UpperCAmelCase__       :      List[str]=None    ,      **UpperCAmelCase__       :      List[Any]    ,      )				->  Any:
        super().__init__(pad_token_id=UpperCAmelCase__    ,      bos_token_id=UpperCAmelCase__    ,      eos_token_id=UpperCAmelCase__    ,      **UpperCAmelCase__    )

        lowerCAmelCase     =			vocab_size
        lowerCAmelCase     =			hidden_size
        lowerCAmelCase     =			num_hidden_layers
        lowerCAmelCase     =			num_attention_heads
        lowerCAmelCase     =			hidden_act
        lowerCAmelCase     =			intermediate_size
        lowerCAmelCase     =			hidden_dropout_prob
        lowerCAmelCase     =			attention_probs_dropout_prob
        lowerCAmelCase     =			max_position_embeddings
        lowerCAmelCase     =			type_vocab_size
        lowerCAmelCase     =			initializer_range
        lowerCAmelCase     =			layer_norm_eps
        lowerCAmelCase     =			position_embedding_type
        lowerCAmelCase     =			use_cache
        lowerCAmelCase     =			classifier_dropout




class 		UpperCAmelCase_      (  __lowercase		):





     @property
     def 							__UpperCAmelCase      ( self       :      List[Any]    )				->  Mapping[str, Mapping[int, str]]:
        if self.task == "multiple-choice":
           lowerCAmelCase     =			{0: 'batch', 1: 'choice', 2: 'sequence'}
        else:
           lowerCAmelCase     =			{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_flava import FlavaImageProcessor


__snake_case    						=logging.get_logger(__name__)

class 		UpperCAmelCase_      (  __lowercase		):





     def __init__( self       :      Dict    ,      *UpperCAmelCase__       :      Dict    ,      **UpperCAmelCase__       :      List[str]    )				->  None:
        warnings.warn(
            'The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
            ' use FlavaImageProcessor instead.'    ,      UpperCAmelCase__    ,      )
        super().__init__(*UpperCAmelCase__    ,      **UpperCAmelCase__    )





