code: 
  
  
  
  
  
  
  from collections import OrderedDict
  from typing import Mapping
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  __snake_case							      =						logging.get_logger(__name__)
  
  __snake_case							      =						{
      """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     UpperCAmelCase_		(      lowercase				):
  
  
  
  						"""simple docstring"""
  						UpperCamelCase_       :      Tuple     =SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
  						UpperCamelCase_       :      List[Any]     ='squeezebert'
  						def __init__(       self					,       SCREAMING_SNAKE_CASE_=3_0522					,       SCREAMING_SNAKE_CASE_=768					,       SCREAMING_SNAKE_CASE_=12					,       SCREAMING_SNAKE_CASE_=12					,       SCREAMING_SNAKE_CASE_=3072					,       SCREAMING_SNAKE_CASE_="gelu"					,       SCREAMING_SNAKE_CASE_=0.1					,       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_=768					,       SCREAMING_SNAKE_CASE_=4					,       SCREAMING_SNAKE_CASE_=4					,       SCREAMING_SNAKE_CASE_=4					,       SCREAMING_SNAKE_CASE_=1					,       SCREAMING_SNAKE_CASE_=4					,       SCREAMING_SNAKE_CASE_=4					,       **SCREAMING_SNAKE_CASE_					,       )       ->   Any:
  										super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_					,       **SCREAMING_SNAKE_CASE_				)
  
  										UpperCamelCase :Union[str, Any]										=     vocab_size
  										UpperCamelCase :Optional[int]										=     hidden_size
  										UpperCamelCase :str										=     num_hidden_layers
  										UpperCamelCase :Any										=     num_attention_heads
  										UpperCamelCase :Union[str, Any]										=     hidden_act
  										UpperCamelCase :Optional[int]										=     intermediate_size
  										UpperCamelCase :List[str]										=     hidden_dropout_prob
  										UpperCamelCase :Tuple										=     attention_probs_dropout_prob
  										UpperCamelCase :int										=     max_position_embeddings
  										UpperCamelCase :Any										=     type_vocab_size
  										UpperCamelCase :Optional[int]										=     initializer_range
  										UpperCamelCase :Optional[Any]										=     layer_norm_eps
  										UpperCamelCase :Dict										=     embedding_size
  										UpperCamelCase :List[str]										=     q_groups
  										UpperCamelCase :Optional[Any]										=     k_groups
  										UpperCamelCase :Optional[int]										=     v_groups
  										UpperCamelCase :Dict										=     post_attention_groups
  										UpperCamelCase :List[str]										=     intermediate_groups
  										UpperCamelCase :Tuple										=     output_groups
  
  
  
  
  
  
  
  class     UpperCAmelCase_		(      lowercase				):
  
  
  
  						"""simple docstring"""
  						@property
  						def 					UpperCAmelCase		(       self				)       ->   Mapping[str, Mapping[int, str]]:
  										if self.task == "multiple-choice":
  														UpperCamelCase :Any										=     {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
  										else:
  														UpperCamelCase :Dict										=     {0: '''batch''', 1: '''sequence'''}
  										return OrderedDict(
  										    [
  										        ('''input_ids''', dynamic_axis),
  										        ('''attention_mask''', dynamic_axis),
  										        ('''token_type_ids''', dynamic_axis),
  										    ]				)
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  
  from __future__ import annotations
  
  
  
  
  
  
  
  class     UpperCAmelCase_		:
  
  
  
        """simple docstring"""
        def __init__(       self					,       SCREAMING_SNAKE_CASE_				)       ->   None:
            UpperCamelCase :Tuple										=     value
            UpperCamelCase :Node | None										=     None
            UpperCamelCase :Node | None										=     None
  
  
  
  
  
  
  
  class     UpperCAmelCase_		:
  
  
  
        """simple docstring"""
        UpperCamelCase_       :      int
        def __init__(       self				)       ->   None:
            UpperCamelCase :List[Any]										=     0
        def 					UpperCAmelCase		(       self					,       SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_				)       ->   None:
            if node is None:
                return
  
            if path_sum == self.target:
                self.paths += 1
  
            if node.left:
                self.depth_first_search(node.left					,       path_sum + node.left.value				)
            if node.right:
                self.depth_first_search(node.right					,       path_sum + node.right.value				)
  
  
  
  
        def 					UpperCAmelCase		(       self					,       SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_ = None				)       ->   int:
            if node is None:
                return 0
            if target is not None:
                UpperCamelCase :Tuple										=     target
  
            self.depth_first_search(SCREAMING_SNAKE_CASE_					,       node.value				)
            self.path_sum(node.left				)
            self.path_sum(node.right				)
  
            return self.paths
  
  
  if __name__ == "__main__":
   import doctest
  
   doctest.testmod()
  
  
  
  
  
  