


from collections import deque






def 			UpperCamelCase (     __magic_name__					:							List[Any]					)       ->  int:
		"""simple docstring"""




		lowercase__					      =		len(__magic_name__					)
		lowercase__					      =		deque()
		lowercase__					      =		[False for _ in range(__magic_name__					)]
		lowercase__					      =		[-1 for _ in range(__magic_name__					)]
		lowercase__					      =		index_of[:]

		def strong_connect(__magic_name__					:							Union[str, Any]   ,   __magic_name__					:							Optional[Any]   ,   __magic_name__					:							int					):
				lowercase__					      =		index  # the number when this node is seen
				lowercase__					      =		index  # lowest rank node reachable from here
				index += 1
				stack.append(__magic_name__					)
				lowercase__					      =		True

				for w in g[v]:
						if index_of[w] == -1:
								lowercase__					      =		strong_connect(__magic_name__   ,   __magic_name__   ,   __magic_name__					)
								lowercase__					      =		(
								    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
								)
						elif on_stack[w]:
								lowercase__					      =		(
								    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
								)

				if lowlink_of[v] == index_of[v]:
						lowercase__					      =		[]
						lowercase__					      =		stack.pop()
						lowercase__					      =		False
						component.append(__magic_name__					)
						while w != v:
								lowercase__					      =		stack.pop()
								lowercase__					      =		False
								component.append(__magic_name__					)
						components.append(__magic_name__					)
				return index

		lowercase__					      =		[]
		for v in range(__magic_name__					):
				if index_of[v] == -1:
						strong_connect(__magic_name__   ,   0   ,   __magic_name__					)

		return components






def 			UpperCamelCase (     __magic_name__					:							List[Any]   ,   __magic_name__					:							Union[str, Any]					)       ->  Union[str, Any]:
		"""simple docstring"""




		lowercase__					      =		[[] for _ in range(__magic_name__					)]
		for u, v in edges:
				g[u].append(__magic_name__					)
		return g


if __name__ == "__main__":
	# Test
	A	:		int    =       7
	A	:		str    =       [0, 0, 1, 2, 3, 3, 4, 4, 6]
	A	:		Any    =       [1, 3, 2, 0, 1, 4, 5, 6, 5]
	A	:		int    =       [(u, v) for u, v in zip(source, target)]
	A	:		Optional[int]    =       create_graph(n_vertices, edges)

	assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)





from collections import OrderedDict
from typing import Mapping

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


A	:		Optional[Any]    =       logging.get_logger(__name__)

A	:		Tuple    =       {
    'YituTech/conv-bert-base': 'https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json',
    'YituTech/conv-bert-medium-small': (
        'https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json'
    ),
    'YituTech/conv-bert-small': 'https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json',
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}



class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					A__      =			'''convbert'''

					def __init__(self   :						str				, _UpperCAmelCase   :						Union[str, Any]=3_0522				, _UpperCAmelCase   :						Dict=768				, _UpperCAmelCase   :						Optional[int]=12				, _UpperCAmelCase   :						List[str]=12				, _UpperCAmelCase   :						str=3072				, _UpperCAmelCase   :						Tuple="gelu"				, _UpperCAmelCase   :						Optional[int]=0.1				, _UpperCAmelCase   :						int=0.1				, _UpperCAmelCase   :						str=512				, _UpperCAmelCase   :						Dict=2				, _UpperCAmelCase   :						int=0.02				, _UpperCAmelCase   :						Tuple=1E-1_2				, _UpperCAmelCase   :						Dict=1				, _UpperCAmelCase   :						Optional[Any]=0				, _UpperCAmelCase   :						List[str]=2				, _UpperCAmelCase   :						str=768				, _UpperCAmelCase   :						List[Any]=2				, _UpperCAmelCase   :						Optional[Any]=9				, _UpperCAmelCase   :						List[Any]=1				, _UpperCAmelCase   :						Union[str, Any]=None				, **_UpperCAmelCase   :						List[Any]				, )						->       List[str]:




							"""simple docstring"""


							super().__init__(
							    pad_token_id=_UpperCAmelCase				, bos_token_id=_UpperCAmelCase				, eos_token_id=_UpperCAmelCase				, **_UpperCAmelCase				, )

							lowercase__					      =		vocab_size
							lowercase__					      =		hidden_size
							lowercase__					      =		num_hidden_layers
							lowercase__					      =		num_attention_heads
							lowercase__					      =		intermediate_size
							lowercase__					      =		hidden_act
							lowercase__					      =		hidden_dropout_prob
							lowercase__					      =		attention_probs_dropout_prob
							lowercase__					      =		max_position_embeddings
							lowercase__					      =		type_vocab_size
							lowercase__					      =		initializer_range
							lowercase__					      =		layer_norm_eps
							lowercase__					      =		embedding_size
							lowercase__					      =		head_ratio
							lowercase__					      =		conv_kernel_size
							lowercase__					      =		num_groups
							lowercase__					      =		classifier_dropout






class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






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




							"""simple docstring"""


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

