





"""simple docstring"""






from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase_      =				logging.get_logger(__name__)

lowerCAmelCase_      =				{
    '''google/mobilebert-uncased''': '''https://huggingface.co/google/mobilebert-uncased/resolve/main/config.json'''
}



class 						lowerCAmelCase       (   snake_case				):
       lowerCAmelCase__    			=	MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
       lowerCAmelCase__    			=	"""mobilebert"""






       def __init__( self     ,	a__=3_05_22     ,	a__=5_12     ,	a__=24     ,	a__=4     ,	a__=5_12     ,	a__="relu"     ,	a__=0.0     ,	a__=0.1     ,	a__=5_12     ,	a__=2     ,	a__=0.02     ,	a__=1E-12     ,	a__=0     ,	a__=1_28     ,	a__=True     ,	a__=True     ,	a__=1_28     ,	a__=False     ,	a__=True     ,	a__=4     ,	a__="no_norm"     ,	a__=True     ,	a__=None     ,	**a__     ,	):
              super().__init__(pad_token_id=a__     ,	**a__  )

              _UpperCAmelCase			     =  vocab_size
              _UpperCAmelCase			     =  hidden_size
              _UpperCAmelCase			     =  num_hidden_layers
              _UpperCAmelCase			     =  num_attention_heads
              _UpperCAmelCase			     =  hidden_act
              _UpperCAmelCase			     =  intermediate_size
              _UpperCAmelCase			     =  hidden_dropout_prob
              _UpperCAmelCase			     =  attention_probs_dropout_prob
              _UpperCAmelCase			     =  max_position_embeddings
              _UpperCAmelCase			     =  type_vocab_size
              _UpperCAmelCase			     =  initializer_range
              _UpperCAmelCase			     =  layer_norm_eps
              _UpperCAmelCase			     =  embedding_size
              _UpperCAmelCase			     =  trigram_input
              _UpperCAmelCase			     =  use_bottleneck
              _UpperCAmelCase			     =  intra_bottleneck_size
              _UpperCAmelCase			     =  use_bottleneck_attention
              _UpperCAmelCase			     =  key_query_shared_bottleneck
              _UpperCAmelCase			     =  num_feedforward_networks
              _UpperCAmelCase			     =  normalization_type
              _UpperCAmelCase			     =  classifier_activation

              if self.use_bottleneck:
                     _UpperCAmelCase			     =  intra_bottleneck_size
              else:
                     _UpperCAmelCase			     =  hidden_size

              _UpperCAmelCase			     =  classifier_dropout



class 						lowerCAmelCase       (   snake_case				):






       @property
       def 				__A			( self  ):
              if self.task == "multiple-choice":
                     _UpperCAmelCase			     =  {0: 'batch', 1: 'choice', 2: 'sequence'}
              else:
                     _UpperCAmelCase			     =  {0: 'batch', 1: 'sequence'}
              return OrderedDict(
                  [
                      ('input_ids', dynamic_axis),
                      ('attention_mask', dynamic_axis),
                      ('token_type_ids', dynamic_axis),
                  ]  )













"""simple docstring"""






def    __lowerCamelCase     (							SCREAMING_SNAKE_CASE				)		->							bool:






       """simple docstring"""




       if not isinstance(SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE				):
              raise ValueError('Input series is not valid, valid series - [2, 4, 8]'				)
       if len(SCREAMING_SNAKE_CASE				) == 0:
              raise ValueError('Input list must be a non empty list'				)
       if len(SCREAMING_SNAKE_CASE				) == 1:
              return True
       try:
              _UpperCAmelCase			     =  series[1] / series[0]
              for index in range(len(SCREAMING_SNAKE_CASE				) - 1				):
                     if series[index + 1] / series[index] != common_ratio:
                            return False
       except ZeroDivisionError:
              return False
       return True

def    __lowerCamelCase     (							SCREAMING_SNAKE_CASE				)		->							float:






       """simple docstring"""




       if not isinstance(SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE				):
              raise ValueError('Input series is not valid, valid series - [2, 4, 8]'				)
       if len(SCREAMING_SNAKE_CASE				) == 0:
              raise ValueError('Input list must be a non empty list'				)
       _UpperCAmelCase			     =  1
       for value in series:
              answer *= value
       return pow(SCREAMING_SNAKE_CASE,1 / len(SCREAMING_SNAKE_CASE				)				)


if __name__ == "__main__":
    import doctest

    doctest.testmod()






