code: 
  
  
  
  
  
  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	(   _UpperCAmelCase					):
  					__A          =   MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
  					__A          =   "mobilebert"
  
  
  
  
  					def __init__(						self    ,      __lowerCAmelCase=30_522    ,      __lowerCAmelCase=512    ,      __lowerCAmelCase=24    ,      __lowerCAmelCase=4    ,      __lowerCAmelCase=512    ,      __lowerCAmelCase="relu"    ,      __lowerCAmelCase=0.0    ,      __lowerCAmelCase=0.1    ,      __lowerCAmelCase=512    ,      __lowerCAmelCase=2    ,      __lowerCAmelCase=0.0_2    ,      __lowerCAmelCase=1E-1_2    ,      __lowerCAmelCase=0    ,      __lowerCAmelCase=128    ,      __lowerCAmelCase=True    ,      __lowerCAmelCase=True    ,      __lowerCAmelCase=128    ,      __lowerCAmelCase=False    ,      __lowerCAmelCase=True    ,      __lowerCAmelCase=4    ,      __lowerCAmelCase="no_norm"    ,      __lowerCAmelCase=True    ,      __lowerCAmelCase=None    ,      **__lowerCAmelCase    ,      )						->  str:
  							super().__init__(pad_token_id=__lowerCAmelCase    ,      **__lowerCAmelCase       )
  
  							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   _UpperCAmelCase	(   _UpperCAmelCase					):
  
  
  
  
  					@property
  					def 	snake_case_		(						self       )						->  List[str]:
  
  
  
  
  
  
  							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),
  							    ]       )
  
  
  
  
  
style_context: 
  
  
  
  
  
  def     a						(      _lowercase   :     List[str]       )     ->List[str]:
  		UpperCamelCase__         =	[7_0_1, 3_0_1, 1_3_2, 5_7, 2_3, 1_0, 4, 1]
  		for gap in gaps:
  				for i in range(_lowercase ,						len(_lowercase       )       ):
  						UpperCamelCase__         =	collection[i]
  						UpperCamelCase__         =	i
  						while j >= gap and collection[j - gap] > insert_value:
  								UpperCamelCase__         =	collection[j - gap]
  								j -= gap
  						if j != i:
  								UpperCamelCase__         =	insert_value
  		return collection
  
  
  if __name__ == "__main__":
  				from doctest import testmod
  
  				testmod()
  				__lowerCAmelCase     =			input("Enter numbers separated by a comma:\n").strip()
  				__lowerCAmelCase     =			[int(item) for item in user_input.split(",")]
  				print(shell_sort(unsorted))
  
  
  
  
  
  