code: 
  
  from collections import OrderedDict
  from typing import Mapping
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  A_:      Optional[Any]        =			logging.get_logger(__name__)
  
  A_:      Optional[int]        =			{
      'google/mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/config.json'
  }
  
  
  class _lowercase					(       _UpperCAmelCase						):
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  							lowerCAmelCase__       =					MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
  							lowerCAmelCase__       =					'mobilebert'
  
  
  
  							def __init__(    self     ,   UpperCAmelCase=30522     ,   UpperCAmelCase=512     ,   UpperCAmelCase=24     ,   UpperCAmelCase=4     ,   UpperCAmelCase=512     ,   UpperCAmelCase="relu"     ,   UpperCAmelCase=0.0     ,   UpperCAmelCase=0.1     ,   UpperCAmelCase=512     ,   UpperCAmelCase=2     ,   UpperCAmelCase=0.02     ,   UpperCAmelCase=1e-12     ,   UpperCAmelCase=0     ,   UpperCAmelCase=128     ,   UpperCAmelCase=True     ,   UpperCAmelCase=True     ,   UpperCAmelCase=128     ,   UpperCAmelCase=False     ,   UpperCAmelCase=True     ,   UpperCAmelCase=4     ,   UpperCAmelCase="no_norm"     ,   UpperCAmelCase=True     ,   UpperCAmelCase=None     ,   **UpperCAmelCase     ,   ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														super().__init__(pad_token_id=UpperCAmelCase     ,   **UpperCAmelCase  )
  
  														_lowercase				=	vocab_size
  														_lowercase				=	hidden_size
  														_lowercase				=	num_hidden_layers
  														_lowercase				=	num_attention_heads
  														_lowercase				=	hidden_act
  														_lowercase				=	intermediate_size
  														_lowercase				=	hidden_dropout_prob
  														_lowercase				=	attention_probs_dropout_prob
  														_lowercase				=	max_position_embeddings
  														_lowercase				=	type_vocab_size
  														_lowercase				=	initializer_range
  														_lowercase				=	layer_norm_eps
  														_lowercase				=	embedding_size
  														_lowercase				=	trigram_input
  														_lowercase				=	use_bottleneck
  														_lowercase				=	intra_bottleneck_size
  														_lowercase				=	use_bottleneck_attention
  														_lowercase				=	key_query_shared_bottleneck
  														_lowercase				=	num_feedforward_networks
  														_lowercase				=	normalization_type
  														_lowercase				=	classifier_activation
  
  														if self.use_bottleneck:
  																					_lowercase				=	intra_bottleneck_size
  														else:
  																					_lowercase				=	hidden_size
  
  														_lowercase				=	classifier_dropout
  
  
  
  
  
  
  class _lowercase					(       _UpperCAmelCase						):
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  							@property
  							def     _UpperCAmelCase       (    self  ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														if self.task == "multiple-choice":
  																					_lowercase				=	{0: """batch""", 1: """choice""", 2: """sequence"""}
  														else:
  																					_lowercase				=	{0: """batch""", 1: """sequence"""}
  														return OrderedDict(
  														    [
  														        ("""input_ids""", dynamic_axis),
  														        ("""attention_mask""", dynamic_axis),
  														        ("""token_type_ids""", dynamic_axis),
  														    ]  )
  
  
  
style_context: def 					__lowerCAmelCase			(  _A = 998_001					):
  
  
  
  							"""simple docstring"""
  
  
  							_lowercase				=	0
  							for i in range(999 ,99 ,-1					):  # 3 digit numbers range from 999 down to 100
  														for j in range(999 ,99 ,-1					):
  																					_lowercase				=	str(i * j					)
  																					if product_string == product_string[::-1] and i * j < n:
  																												_lowercase				=	max(_A ,i * j					)
  							return answer
  
  
  if __name__ == "__main__":
  				print(F'''{solution() = }''')
  
  
  