'''simple docstring'''


from __future__ import annotations

from collections.abc import Iterator
from typing import Any






class 	__SCREAMING_SNAKE_CASE		:







  '''simple docstring'''






  def __init__(					self ,						snake_case_		):




       '''simple docstring'''

       UpperCAmelCase_				:  Any  = data
       UpperCAmelCase_				:  Node | None  = None






  def __str__(					self		):




       '''simple docstring'''

       return F'''{self.data}'''







class 	__SCREAMING_SNAKE_CASE		:







  '''simple docstring'''






  def __init__(					self		):




       '''simple docstring'''

       UpperCAmelCase_				:  Node | None  = None
       UpperCAmelCase_				:  Node | None  = None


  def __iter__(					self		):




       '''simple docstring'''

       UpperCAmelCase_				:  List[Any]  = self.front
       while node:
            yield node.data
            UpperCAmelCase_				:  Union[str, Any]  = node.next


  def __len__(					self		):




       '''simple docstring'''

       return len(tuple(iter(self		)		)		)


  def __str__(					self		):




       '''simple docstring'''

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


  def _UpperCamelCase	(					self		):




       '''simple docstring'''

       return len(self		) == 0


  def _UpperCamelCase	(					self ,						snake_case_		):




       '''simple docstring'''

       UpperCAmelCase_				:  Union[str, Any]  = Node(snake_case_		)
       if self.is_empty():
            UpperCAmelCase_				:  Optional[int]  = node
       else:
            assert isinstance(self.rear ,						snake_case_		)
            UpperCAmelCase_				:  Union[str, Any]  = node
            UpperCAmelCase_				:  Any  = node


  def _UpperCamelCase	(					self		):




       '''simple docstring'''

       if self.is_empty():
            raise IndexError('dequeue from empty queue'		)
       assert isinstance(self.front ,						snake_case_		)
       UpperCAmelCase_				:  Dict  = self.front
       UpperCAmelCase_				:  List[Any]  = self.front.next
       if self.front is None:
            UpperCAmelCase_				:  Any  = None
       return node.data






  def _UpperCamelCase	(					self		):




       '''simple docstring'''

       UpperCAmelCase_				:  str  = 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


UpperCamelCase					=     logging.get_logger(__name__)

UpperCamelCase					=     {
    """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'''






   UpperCamelCase__     	=							SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
   UpperCamelCase__     	=							"""squeezebert"""





   def __init__(       self					, UpperCAmelCase_=30_522					, UpperCAmelCase_=768					, UpperCAmelCase_=12					, UpperCAmelCase_=12					, UpperCAmelCase_=3_072					, UpperCAmelCase_="gelu"					, UpperCAmelCase_=0.1					, UpperCAmelCase_=0.1					, UpperCAmelCase_=512					, UpperCAmelCase_=2					, UpperCAmelCase_=0.02					, UpperCAmelCase_=1E-1_2					, UpperCAmelCase_=0					, UpperCAmelCase_=768					, UpperCAmelCase_=4					, UpperCAmelCase_=4					, UpperCAmelCase_=4					, UpperCAmelCase_=1					, UpperCAmelCase_=4					, UpperCAmelCase_=4					, **UpperCAmelCase_					, )			->   int:




          '''simple docstring'''




          super().__init__(pad_token_id=UpperCAmelCase_					, **UpperCAmelCase_)

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







class 						_a  (		lowercase_       ):





   '''simple docstring'''






   @property
   def __lowercase							(       self)			->   Mapping[str, Mapping[int, str]]:




          '''simple docstring'''




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






