






"""simple docstring"""





from __future__ import annotations

from collections.abc import Iterator
from typing import Any







class 						_a  :





   '''simple docstring'''






   def __init__(       self					, UpperCAmelCase_)			->   List[Any]:




          '''simple docstring'''




          lowercase__:							Any         =     data
          lowercase__:							Node | None         =     None





   def __str__(       self)			->   Any:




          '''simple docstring'''




          return F"""{self.data}"""







class 						_a  :





   '''simple docstring'''






   def __init__(       self)			->   Optional[Any]:




          '''simple docstring'''




          lowercase__:							Node | None         =     None
          lowercase__:							Node | None         =     None





   def __iter__(       self)			->   Union[str, Any]:




          '''simple docstring'''




          lowercase__:							List[str]         =     self.front
          while node:
                 yield node.data
                 lowercase__:							int         =     node.next





   def __len__(       self)			->   Tuple:




          '''simple docstring'''




          return len(tuple(iter(self)))





   def __str__(       self)			->   Optional[int]:




          '''simple docstring'''




          return " <- ".join(str(lowercase_) for item in self)





   def __lowercase							(       self)			->   Optional[Any]:




          '''simple docstring'''




          return len(self) == 0





   def __lowercase							(       self					, UpperCAmelCase_)			->   Union[str, Any]:




          '''simple docstring'''




          lowercase__:							List[str]         =     Node(lowercase_)
          if self.is_empty():
                 lowercase__:							Any         =     node
          else:
                 assert isinstance(self.rear					, lowercase_)
                 lowercase__:							Union[str, Any]         =     node
                 lowercase__:							str         =     node





   def __lowercase							(       self)			->   int:




          '''simple docstring'''




          if self.is_empty():
                 raise IndexError("dequeue from empty queue")
          assert isinstance(self.front					, lowercase_)
          lowercase__:							int         =     self.front
          lowercase__:							str         =     self.front.next
          if self.front is None:
                 lowercase__:							List[str]         =     None
          return node.data





   def __lowercase							(       self)			->   Dict:




          '''simple docstring'''




          lowercase__:							Any         =     None


if __name__ == "__main__":
  from doctest import testmod

  testmod()








"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_a									=				logging.get_logger(__name__)

_a									=				{
    '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 A_      (lowercase__ ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__     :		Any    	=						SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
  SCREAMING_SNAKE_CASE__     :		Optional[Any]    	=						"""squeezebert"""







  def __init__(						self							,  lowercase_=3_0522							,  lowercase_=768							,  lowercase_=12							,  lowercase_=12							,  lowercase_=3072							,  lowercase_="gelu"							,  lowercase_=0.1							,  lowercase_=0.1							,  lowercase_=512							,  lowercase_=2							,  lowercase_=0.02							,  lowercase_=1E-1_2							,  lowercase_=0							,  lowercase_=768							,  lowercase_=4							,  lowercase_=4							,  lowercase_=4							,  lowercase_=1							,  lowercase_=4							,  lowercase_=4							,  **lowercase_							,  ):

     """simple docstring"""
     super().__init__(pad_token_id=lowercase_							,  **lowercase_    )

     UpperCAmelCase_   :   List[Any]     	=       vocab_size
     UpperCAmelCase_   :   Optional[Any]     	=       hidden_size
     UpperCAmelCase_   :   Tuple     	=       num_hidden_layers
     UpperCAmelCase_   :   Optional[int]     	=       num_attention_heads
     UpperCAmelCase_   :   Optional[Any]     	=       hidden_act
     UpperCAmelCase_   :   Tuple     	=       intermediate_size
     UpperCAmelCase_   :   Union[str, Any]     	=       hidden_dropout_prob
     UpperCAmelCase_   :   List[Any]     	=       attention_probs_dropout_prob
     UpperCAmelCase_   :   int     	=       max_position_embeddings
     UpperCAmelCase_   :   List[str]     	=       type_vocab_size
     UpperCAmelCase_   :   Optional[Any]     	=       initializer_range
     UpperCAmelCase_   :   Optional[int]     	=       layer_norm_eps
     UpperCAmelCase_   :   Tuple     	=       embedding_size
     UpperCAmelCase_   :   Dict     	=       q_groups
     UpperCAmelCase_   :   List[Any]     	=       k_groups
     UpperCAmelCase_   :   List[str]     	=       v_groups
     UpperCAmelCase_   :   Optional[Any]     	=       post_attention_groups
     UpperCAmelCase_   :   List[str]     	=       intermediate_groups
     UpperCAmelCase_   :   List[Any]     	=       output_groups




class A_      (lowercase__ ):




  '''simple docstring'''







  @property
  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     if self.task == "multiple-choice":
        UpperCAmelCase_   :   List[str]     	=       {0: "batch", 1: "choice", 2: "sequence"}
     else:
        UpperCAmelCase_   :   Optional[int]     	=       {0: "batch", 1: "sequence"}
     return OrderedDict(
         [
             ("input_ids", dynamic_axis),
             ("attention_mask", dynamic_axis),
             ("token_type_ids", dynamic_axis),
         ]    )


