code: 
  
  
  from collections import OrderedDict
  from typing import Mapping
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  SCREAMING_SNAKE_CASE__				:    Dict         =    logging.get_logger(__name__)
  
  SCREAMING_SNAKE_CASE__				:    Optional[Any]         =    {
      'squeezebert/squeezebert-uncased': (
          'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/config.json'
      ),
      'squeezebert/squeezebert-mnli': 'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/config.json',
      'squeezebert/squeezebert-mnli-headless': (
          'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/config.json'
      ),
  }
  
  
  class 		_SCREAMING_SNAKE_CASE    (	A    ):
       __SCREAMING_SNAKE_CASE    				=						SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
       __SCREAMING_SNAKE_CASE    				=						'''squeezebert'''
  
  
       def __init__(     self       ,				A_=3_05_22       ,				A_=7_68       ,				A_=12       ,				A_=12       ,				A_=30_72       ,				A_="gelu"       ,				A_=0.1       ,				A_=0.1       ,				A_=5_12       ,				A_=2       ,				A_=0.0_2       ,				A_=1e-12       ,				A_=0       ,				A_=7_68       ,				A_=4       ,				A_=4       ,				A_=4       ,				A_=1       ,				A_=4       ,				A_=4       ,				**A_       ,				)     ->   List[Any]:
         super().__init__(pad_token_id=__lowerCamelCase       ,				**__lowerCamelCase						)
  
         _UpperCAmelCase		:       str       =    vocab_size
         _UpperCAmelCase		:       int       =    hidden_size
         _UpperCAmelCase		:       Optional[Any]       =    num_hidden_layers
         _UpperCAmelCase		:       List[str]       =    num_attention_heads
         _UpperCAmelCase		:       Tuple       =    hidden_act
         _UpperCAmelCase		:       Union[str, Any]       =    intermediate_size
         _UpperCAmelCase		:       int       =    hidden_dropout_prob
         _UpperCAmelCase		:       List[Any]       =    attention_probs_dropout_prob
         _UpperCAmelCase		:       Union[str, Any]       =    max_position_embeddings
         _UpperCAmelCase		:       List[str]       =    type_vocab_size
         _UpperCAmelCase		:       Any       =    initializer_range
         _UpperCAmelCase		:       str       =    layer_norm_eps
         _UpperCAmelCase		:       Dict       =    embedding_size
         _UpperCAmelCase		:       Dict       =    q_groups
         _UpperCAmelCase		:       List[Any]       =    k_groups
         _UpperCAmelCase		:       List[Any]       =    v_groups
         _UpperCAmelCase		:       Any       =    post_attention_groups
         _UpperCAmelCase		:       Tuple       =    intermediate_groups
         _UpperCAmelCase		:       Union[str, Any]       =    output_groups
  
  
  class 		_SCREAMING_SNAKE_CASE    (	A    ):
  
  
       @property
       def 					__snake_case(     self						)     ->   Mapping[str, Mapping[int, str]]:
         if self.task == "multiple-choice":
           _UpperCAmelCase		:       Union[str, Any]       =    {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),
             ]						)
  
  
  
  
  
  
style_context: 
  
  
  from typing import Any
  
  
  class 		_SCREAMING_SNAKE_CASE    :
  
  
       def __init__(     self						):
         _UpperCAmelCase		:       Union[str, Any]       =    []
         _UpperCAmelCase		:       Dict       =    0
  
  
       def __str__(     self						):
         _UpperCAmelCase		:       Union[str, Any]       =    """<""" + str(self.stack						)[1:-1] + """>"""
         return printed
  
  
       def 					__snake_case(     self       ,				A_						):
         self.stack.append(A_						)
         _UpperCAmelCase		:       Optional[Any]       =    self.length + 1
  
  
       def 					__snake_case(     self						):
         self.rotate(1						)
         _UpperCAmelCase		:       List[Any]       =    self.stack[self.length - 1]
         _UpperCAmelCase		:       Optional[Any]       =    self.stack[:-1]
         self.rotate(self.length - 1						)
         _UpperCAmelCase		:       Union[str, Any]       =    self.length - 1
         return dequeued
  
  
       def 					__snake_case(     self       ,				A_						):
         for _ in range(A_						):
           _UpperCAmelCase		:       Dict       =    self.stack[0]
           _UpperCAmelCase		:       List[Any]       =    self.stack[1:]
           self.put(A_						)
           _UpperCAmelCase		:       Dict       =    self.length - 1
  
  
       def 					__snake_case(     self						):
         _UpperCAmelCase		:       Tuple       =    self.get()
         self.put(A_						)
         self.rotate(self.length - 1						)
         return front
  
  
       def 					__snake_case(     self						):
         return self.length
  
  
  
  
  
  