


'''simple docstring'''
from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase__  =     logging.get_logger(__name__)

lowerCAmelCase__  =     {
    '''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						(						UpperCamelCase							):



   '''simple docstring'''






   _lowercase    						= SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
   _lowercase    						= "squeezebert"




   def __init__(	self	:					Union[str, Any]					, lowerCamelCase	:					int=30_522					, lowerCamelCase	:					Any=768					, lowerCamelCase	:					Dict=12					, lowerCamelCase	:					Dict=12					, lowerCamelCase	:					Tuple=3_072					, lowerCamelCase	:					Union[str, Any]="gelu"					, lowerCamelCase	:					Any=0.1					, lowerCamelCase	:					Union[str, Any]=0.1					, lowerCamelCase	:					Union[str, Any]=512					, lowerCamelCase	:					List[str]=2					, lowerCamelCase	:					Optional[int]=0.02					, lowerCamelCase	:					List[str]=1e-12					, lowerCamelCase	:					Union[str, Any]=0					, lowerCamelCase	:					Optional[Any]=768					, lowerCamelCase	:					Tuple=4					, lowerCamelCase	:					Optional[int]=4					, lowerCamelCase	:					List[str]=4					, lowerCamelCase	:					Tuple=1					, lowerCamelCase	:					Tuple=4					, lowerCamelCase	:					Any=4					, **lowerCamelCase	:					Union[str, Any]					, )->	Optional[int]:
          super().__init__(pad_token_id=lowerCamelCase					, **lowerCamelCase						)

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







class 					_A						(						UpperCamelCase							):



   '''simple docstring'''






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







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












'''simple docstring'''


lowerCamelCase_					:			List[Any]     						=				{0: [1, 2], 1: [0, 3], 2: [0], 3: [1], 4: [5, 6], 5: [4, 6], 6: [4, 5]}

lowerCamelCase_					:			Tuple     						=				{0: [1, 2, 3], 1: [0, 3], 2: [0], 3: [0, 1], 4: [], 5: []}







def 						__magic_name__(			_A    ,   _A    ,   _A       ):
						'''simple docstring'''





						UpperCamelCase__       =			True
						UpperCamelCase__       =			[]

						for neighbour in graph[vert]:
												if not visited[neighbour]:
																		connected_verts += dfs(_A    ,   _A    ,   _A       )

						return [vert, *connected_verts]







def 						__magic_name__(			_A       ):
						'''simple docstring'''





						UpperCamelCase__       =			len(_A       )
						UpperCamelCase__       =			graph_size * [False]
						UpperCamelCase__       =			[]

						for i in range(_A       ):
												if not visited[i]:
																		UpperCamelCase__       =			dfs(_A    ,   _A    ,   _A       )
																		components_list.append(_A       )

						return components_list


if __name__ == "__main__":
					import doctest

					doctest.testmod()
