




import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


lowerCamelCase				:		Tuple     =   logging.get_logger(__name__)







class   A(						__SCREAMING_SNAKE_CASE   ):



 '''simple docstring'''


 def __init__(				self					:  List[str]						,							*A_					:  int						,							**A_					:  Union[str, Any]  )   ->	None:

       """simple docstring"""






       warnings.warn(
           'The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
           ' Please use PerceiverImageProcessor instead.'						,							UpperCAmelCase_						,							)
       super().__init__(*UpperCAmelCase_						,							**UpperCAmelCase_  )










import logging

from transformers.configuration_utils import PretrainedConfig


__A									=				logging.getLogger(__name__)



class    _SCREAMING_SNAKE_CASE						(	__SCREAMING_SNAKE_CASE    ):







 '''simple docstring'''
 lowercase_		=			"masked_bert"

 def __init__(self				:   Dict       , UpperCAmelCase_				:   Any=30_522       , UpperCAmelCase_				:   List[Any]=768       , UpperCAmelCase_				:   Optional[Any]=12       , UpperCAmelCase_				:   str=12       , UpperCAmelCase_				:   Tuple=3_072       , UpperCAmelCase_				:   str="gelu"       , UpperCAmelCase_				:   Any=0.1       , UpperCAmelCase_				:   Tuple=0.1       , UpperCAmelCase_				:   Optional[Any]=512       , UpperCAmelCase_				:   Union[str, Any]=2       , UpperCAmelCase_				:   str=0.02       , UpperCAmelCase_				:   str=1E-1_2       , UpperCAmelCase_				:   Union[str, Any]=0       , UpperCAmelCase_				:   str="topK"       , UpperCAmelCase_				:   List[str]="constant"       , UpperCAmelCase_				:   str=0.0       , **UpperCAmelCase_				:   int       , )       ->List[Any]:



   '''simple docstring'''



   super().__init__(pad_token_id=UpperCAmelCase_       , **UpperCAmelCase_)

   lowerCamelCase__:      Optional[int]			  =vocab_size
   lowerCamelCase__:      Dict			  =hidden_size
   lowerCamelCase__:      Optional[int]			  =num_hidden_layers
   lowerCamelCase__:      Any			  =num_attention_heads
   lowerCamelCase__:      List[Any]			  =hidden_act
   lowerCamelCase__:      str			  =intermediate_size
   lowerCamelCase__:      Dict			  =hidden_dropout_prob
   lowerCamelCase__:      str			  =attention_probs_dropout_prob
   lowerCamelCase__:      int			  =max_position_embeddings
   lowerCamelCase__:      Tuple			  =type_vocab_size
   lowerCamelCase__:      str			  =initializer_range
   lowerCamelCase__:      List[Any]			  =layer_norm_eps
   lowerCamelCase__:      str			  =pruning_method
   lowerCamelCase__:      Union[str, Any]			  =mask_init
   lowerCamelCase__:      Optional[Any]			  =mask_scale

