code: 
  
  
  
  
  
  from collections import OrderedDict
  from typing import Mapping
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  UpperCAmelCase			:			str	  = logging.get_logger(__name__)
  
  UpperCAmelCase			:			Optional[int]	  = {
      """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        __lowerCAmelCase (					a__):
        _lowercase       :      Dict        =    SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
        _lowercase       :      Optional[Any]        =    "squeezebert"
  
  
  
  
  
  
  
        def __init__(					self	,   lowerCAmelCase__=3_0_5_2_2	,   lowerCAmelCase__=7_6_8	,   lowerCAmelCase__=1_2	,   lowerCAmelCase__=1_2	,   lowerCAmelCase__=3_0_7_2	,   lowerCAmelCase__="gelu"	,   lowerCAmelCase__=0.1	,   lowerCAmelCase__=0.1	,   lowerCAmelCase__=5_1_2	,   lowerCAmelCase__=2	,   lowerCAmelCase__=0.02	,   lowerCAmelCase__=1E-12	,   lowerCAmelCase__=0	,   lowerCAmelCase__=7_6_8	,   lowerCAmelCase__=4	,   lowerCAmelCase__=4	,   lowerCAmelCase__=4	,   lowerCAmelCase__=1	,   lowerCAmelCase__=4	,   lowerCAmelCase__=4	,   **lowerCAmelCase__	,   )     ->		Tuple:
  
  
  
          '''simple docstring'''
  
  
  
  
          super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_	,   **SCREAMING_SNAKE_CASE_							)
  
          a__			:      Dict            =vocab_size
          a__			:      Dict            =hidden_size
          a__			:      Dict            =num_hidden_layers
          a__			:      Union[str, Any]            =num_attention_heads
          a__			:      List[str]            =hidden_act
          a__			:      List[Any]            =intermediate_size
          a__			:      int            =hidden_dropout_prob
          a__			:      Tuple            =attention_probs_dropout_prob
          a__			:      List[str]            =max_position_embeddings
          a__			:      List[str]            =type_vocab_size
          a__			:      Union[str, Any]            =initializer_range
          a__			:      Any            =layer_norm_eps
          a__			:      Union[str, Any]            =embedding_size
          a__			:      int            =q_groups
          a__			:      str            =k_groups
          a__			:      Dict            =v_groups
          a__			:      List[Any]            =post_attention_groups
          a__			:      List[Any]            =intermediate_groups
          a__			:      Optional[int]            =output_groups
  
  
  
  
  
  
  
  class        __lowerCAmelCase (					a__):
  
  
  
  
  
  
  
        @property
        def      _lowercase						(					self							)     ->		Mapping[str, Mapping[int, str]]:
  
  
  
          '''simple docstring'''
  
  
  
  
          if self.task == "multiple-choice":
            a__			:      Union[str, Any]            ={0: 'batch', 1: 'choice', 2: 'sequence'}
          else:
            a__			:      int            ={0: 'batch', 1: 'sequence'}
          return OrderedDict(
              [
                  ("input_ids", dynamic_axis),
                  ("attention_mask", dynamic_axis),
                  ("token_type_ids", dynamic_axis),
              ]							)
  
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  import warnings
  
  from ...utils import logging
  from .image_processing_detr import DetrImageProcessor
  
  
  UpperCAmelCase			:			List[Any]	  = logging.get_logger(__name__)
  
  
  
  
  
  
  
  class        __lowerCAmelCase (					UpperCamelCase__):
  
  
  
  
  
  
  
        def __init__(					self	,   *lowerCAmelCase__	,   **lowerCAmelCase__							)     ->		None:
  
  
  
          '''simple docstring'''
  
  
  
  
          warnings.warn(
              "The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
              " Please use DetrImageProcessor instead."	,   lowerCAmelCase__	,   )
          super().__init__(*lowerCAmelCase__	,   **lowerCAmelCase__							)
  
  
  
  
  
  
  