






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      UpperCamelCase_							(				UpperCamelCase       ):
						lowercase									=  SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
						lowercase									=  '''squeezebert'''




						def __init__(    self		,	lowercase=30_522		,	lowercase=768		,	lowercase=12		,	lowercase=12		,	lowercase=3_072		,	lowercase="gelu"		,	lowercase=0.1		,	lowercase=0.1		,	lowercase=512		,	lowercase=2		,	lowercase=0.02		,	lowercase=1e-12		,	lowercase=0		,	lowercase=768		,	lowercase=4		,	lowercase=4		,	lowercase=4		,	lowercase=1		,	lowercase=4		,	lowercase=4		,	**lowercase		,	)			->						Tuple:
													super().__init__(pad_token_id=lowercase		,	**lowercase       )

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

class      UpperCamelCase_							(				UpperCamelCase       ):




						@property
						def      snake_case__(    self       )			->						Mapping[str, Mapping[int, str]]:
													if self.task == "multiple-choice":
																				_a  :    Optional[Any]			=						{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
													else:
																				_a  :    str			=						{0: '''batch''', 1: '''sequence'''}
													return OrderedDict(
													    [
													        ('''input_ids''', dynamic_axis),
													        ('''attention_mask''', dynamic_axis),
													        ('''token_type_ids''', dynamic_axis),
													    ]       )







__lowerCamelCase						= {0: [1, 2], 1: [0, 3], 2: [0], 3: [1], 4: [5, 6], 5: [4, 6], 6: [4, 5]}

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






def    UpperCamelCase__  (   UpperCAmelCase    ,	UpperCAmelCase    ,	UpperCAmelCase     )     ->		list:







							"""simple docstring"""





							_a  :    List[Any]			=						True
							_a  :    Optional[Any]			=						[]

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

							return [vert, *connected_verts]






def    UpperCamelCase__  (   UpperCAmelCase     )     ->		list:







							"""simple docstring"""





							_a  :    Optional[int]			=						len(UpperCAmelCase     )
							_a  :    Optional[Any]			=						graph_size * [False]
							_a  :    Optional[int]			=						[]

							for i in range(UpperCAmelCase     ):
														if not visited[i]:
																					_a  :    List[str]			=						dfs(UpperCAmelCase    ,	UpperCAmelCase    ,	UpperCAmelCase     )
																					components_list.append(UpperCAmelCase     )

							return components_list


if __name__ == "__main__":
						import doctest

						doctest.testmod()