





"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

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


a__   :       Union[str, Any]   						=			logging.get_logger(__name__)

a__   :       Any   						=			{
    """google/mobilebert-uncased""": """https://huggingface.co/google/mobilebert-uncased/resolve/main/config.json"""
}



class        lowercase_			(       __lowerCAmelCase							):
       snake_case__			:							str										=       MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
       snake_case__			:							Union[str, Any]										=       """mobilebert"""

       def __init__(     self				,   __SCREAMING_SNAKE_CASE=3_0522				,   __SCREAMING_SNAKE_CASE=512				,   __SCREAMING_SNAKE_CASE=24				,   __SCREAMING_SNAKE_CASE=4				,   __SCREAMING_SNAKE_CASE=512				,   __SCREAMING_SNAKE_CASE="relu"				,   __SCREAMING_SNAKE_CASE=0.0				,   __SCREAMING_SNAKE_CASE=0.1				,   __SCREAMING_SNAKE_CASE=512				,   __SCREAMING_SNAKE_CASE=2				,   __SCREAMING_SNAKE_CASE=0.02				,   __SCREAMING_SNAKE_CASE=1e-12				,   __SCREAMING_SNAKE_CASE=0				,   __SCREAMING_SNAKE_CASE=128				,   __SCREAMING_SNAKE_CASE=True				,   __SCREAMING_SNAKE_CASE=True				,   __SCREAMING_SNAKE_CASE=128				,   __SCREAMING_SNAKE_CASE=False				,   __SCREAMING_SNAKE_CASE=True				,   __SCREAMING_SNAKE_CASE=4				,   __SCREAMING_SNAKE_CASE="no_norm"				,   __SCREAMING_SNAKE_CASE=True				,   __SCREAMING_SNAKE_CASE=None				,   **__SCREAMING_SNAKE_CASE				,   ):






        '''simple docstring'''

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

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

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

        snake_case__      							=			classifier_dropout



class        lowercase_			(       __lowerCAmelCase							):

       @property
       def 						_SCREAMING_SNAKE_CASE(     self       ):






        '''simple docstring'''

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








"""simple docstring"""


import math





def 							a__     (					_UpperCAmelCase		)      ->					list:

 '''simple docstring'''






 if n <= 0:
  raise ValueError("Only positive integers have prime factors"		)
 snake_case__      							=			[]
 while n % 2 == 0:
  pf.append(2		)
  snake_case__      							=			int(n / 2		)
 for i in range(3		,       int(math.sqrt(_UpperCAmelCase		)		) + 1		,       2		):
  while n % i == 0:
   pf.append(_UpperCAmelCase		)
   snake_case__      							=			int(n / i		)
 if n > 2:
  pf.append(_UpperCAmelCase		)
 return pf





def 							a__     (					_UpperCAmelCase		)      ->					int:

 '''simple docstring'''






 if n <= 0:
  raise ValueError("Only positive numbers are accepted"		)
 snake_case__      							=			1
 snake_case__      							=			1
 while n % 2 == 0:
  temp += 1
  snake_case__      							=			int(n / 2		)
 div *= temp
 for i in range(3		,       int(math.sqrt(_UpperCAmelCase		)		) + 1		,       2		):
  snake_case__      							=			1
  while n % i == 0:
   temp += 1
   snake_case__      							=			int(n / i		)
  div *= temp
 if n > 1:
  div *= 2
 return div





def 							a__     (					_UpperCAmelCase		)      ->					int:

 '''simple docstring'''






 if n <= 0:
  raise ValueError("Only positive numbers are accepted"		)
 snake_case__      							=			1
 snake_case__      							=			1
 while n % 2 == 0:
  temp += 1
  snake_case__      							=			int(n / 2		)
 if temp > 1:
  s *= (2**temp - 1) / (2 - 1)
 for i in range(3		,       int(math.sqrt(_UpperCAmelCase		)		) + 1		,       2		):
  snake_case__      							=			1
  while n % i == 0:
   temp += 1
   snake_case__      							=			int(n / i		)
  if temp > 1:
   s *= (i**temp - 1) / (i - 1)
 return int(_UpperCAmelCase		)





def 							a__     (					_UpperCAmelCase		)      ->					int:

 '''simple docstring'''






 snake_case__      							=			n
 for x in set(prime_factors(_UpperCAmelCase		)		):
  s *= (x - 1) / x
 return int(_UpperCAmelCase		)


if __name__ == "__main__":
   import doctest

   doctest.testmod()

