




'''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 							UpperCAmelCase ( _snake_case	):
 UpperCAmelCase				=				MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
 UpperCAmelCase				=				"mobilebert"


 def __init__(			self       :  Optional[int] ,					__lowerCamelCase       :  Tuple=3_0_5_2_2 ,					__lowerCamelCase       :  List[Any]=5_1_2 ,					__lowerCamelCase       :  List[str]=2_4 ,					__lowerCamelCase       :  Optional[Any]=4 ,					__lowerCamelCase       :  str=5_1_2 ,					__lowerCamelCase       :  Tuple="relu" ,					__lowerCamelCase       :  Union[str, Any]=0.0 ,					__lowerCamelCase       :  Tuple=0.1 ,					__lowerCamelCase       :  Optional[int]=5_1_2 ,					__lowerCamelCase       :  List[Any]=2 ,					__lowerCamelCase       :  List[str]=0.02 ,					__lowerCamelCase       :  List[Any]=1e-12 ,					__lowerCamelCase       :  List[Any]=0 ,					__lowerCamelCase       :  Tuple=1_2_8 ,					__lowerCamelCase       :  Optional[int]=True ,					__lowerCamelCase       :  Union[str, Any]=True ,					__lowerCamelCase       :  Tuple=1_2_8 ,					__lowerCamelCase       :  List[Any]=False ,					__lowerCamelCase       :  Optional[int]=True ,					__lowerCamelCase       :  Optional[Any]=4 ,					__lowerCamelCase       :  List[Any]="no_norm" ,					__lowerCamelCase       :  int=True ,					__lowerCamelCase       :  Tuple=None ,					**__lowerCamelCase       :  Any ,					):
    super().__init__(pad_token_id=__lowerCamelCase ,					**__lowerCamelCase   )

    UpperCAmelCase__  :str            =			vocab_size
    UpperCAmelCase__  :Dict            =			hidden_size
    UpperCAmelCase__  :List[str]            =			num_hidden_layers
    UpperCAmelCase__  :List[str]            =			num_attention_heads
    UpperCAmelCase__  :List[str]            =			hidden_act
    UpperCAmelCase__  :Tuple            =			intermediate_size
    UpperCAmelCase__  :str            =			hidden_dropout_prob
    UpperCAmelCase__  :Tuple            =			attention_probs_dropout_prob
    UpperCAmelCase__  :Any            =			max_position_embeddings
    UpperCAmelCase__  :Union[str, Any]            =			type_vocab_size
    UpperCAmelCase__  :Dict            =			initializer_range
    UpperCAmelCase__  :Tuple            =			layer_norm_eps
    UpperCAmelCase__  :List[str]            =			embedding_size
    UpperCAmelCase__  :Any            =			trigram_input
    UpperCAmelCase__  :Tuple            =			use_bottleneck
    UpperCAmelCase__  :Optional[Any]            =			intra_bottleneck_size
    UpperCAmelCase__  :Union[str, Any]            =			use_bottleneck_attention
    UpperCAmelCase__  :List[Any]            =			key_query_shared_bottleneck
    UpperCAmelCase__  :Union[str, Any]            =			num_feedforward_networks
    UpperCAmelCase__  :List[Any]            =			normalization_type
    UpperCAmelCase__  :str            =			classifier_activation

    if self.use_bottleneck:
       UpperCAmelCase__  :List[Any]            =			intra_bottleneck_size
    else:
       UpperCAmelCase__  :List[str]            =			hidden_size

    UpperCAmelCase__  :Tuple            =			classifier_dropout




class 							UpperCAmelCase ( _snake_case	):


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







'''simple docstring'''





def 					a__    (				UpperCamelCase_	:			int	):
   UpperCAmelCase__  :str            =			[True for i in range(n + 1	)]
   UpperCAmelCase__  :List[str]            =			[i - 1 for i in range(n + 1	)]
   UpperCAmelCase__  :str            =			[]
   for i in range(2,      n + 1	):
      if is_prime[i]:
         primes.append(UpperCamelCase_	)
      for j in range(0,      len(UpperCamelCase_	)	):
         if i * primes[j] >= n:
            break
         UpperCAmelCase__  :List[str]            =			False

         if i % primes[j] == 0:
            UpperCAmelCase__  :Any            =			totients[i] * primes[j]
            break

         UpperCAmelCase__  :str            =			totients[i] * (primes[j] - 1)

   return totients


if __name__ == "__main__":
    import doctest

    doctest.testmod()



