
"""simple docstring"""
def      __lowerCamelCase	(		UpperCamelCase__   ):  # noqa: E741


	"""simple docstring"""






	_UpperCAmelCase			=    len(lowerCAmelCase__   )
	_UpperCAmelCase			=    0
	_UpperCAmelCase			=    [0] * n
	_UpperCAmelCase			=    [False] * n
	_UpperCAmelCase			=    [False] * n

	def dfs(UpperCamelCase__					,  UpperCamelCase__					,  UpperCamelCase__					,  UpperCamelCase__   ):
		if parent == root:
			out_edge_count += 1
		_UpperCAmelCase			=    True
		_UpperCAmelCase			=    at

		for to in l[at]:
			if to == parent:
				pass
			elif not visited[to]:
				_UpperCAmelCase			=    dfs(lowerCAmelCase__					,  lowerCAmelCase__					,  lowerCAmelCase__					,  lowerCAmelCase__   )
				_UpperCAmelCase			=    min(low[at]					,  low[to]   )

				# AP found via bridge
				if at < low[to]:
					_UpperCAmelCase			=    True
				# AP found via cycle
				if at == low[to]:
					_UpperCAmelCase			=    True
			else:
				_UpperCAmelCase			=    min(low[at]					,  lowerCAmelCase__   )
		return out_edge_count

	for i in range(lowerCAmelCase__   ):
		if not visited[i]:
			_UpperCAmelCase			=    0
			_UpperCAmelCase			=    dfs(lowerCAmelCase__					,  lowerCAmelCase__					,  -1					,  lowerCAmelCase__   )
			_UpperCAmelCase			=    out_edge_count > 1

	for x in range(len(lowerCAmelCase__   )   ):
		if is_art[x] is True:
			print(lowerCAmelCase__   )


# Adjacency list of graph
__magic_name__									=					{
    0: [1, 2],
    1: [0, 2],
    2: [0, 1, 3, 5],
    3: [2, 4],
    4: [3],
    5: [2, 6, 8],
    6: [5, 7],
    7: [6, 8],
    8: [5, 7],
}



compute_ap(data)








from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE							    =							logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							    =							{
    'studio-ousia/luke-base': 'https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json',
    'studio-ousia/luke-large': 'https://huggingface.co/studio-ousia/luke-large/resolve/main/config.json',
}


class     __UpperCAmelCase							(       __A							):


     """simple docstring"""
     _lowerCamelCase   =      """luke"""


     def __init__(	self  ,       __A=50267  ,       __A=500000  ,       __A=768  ,       __A=256  ,       __A=12  ,       __A=12  ,       __A=3072  ,       __A="gelu"  ,       __A=0.1  ,       __A=0.1  ,       __A=512  ,       __A=2  ,       __A=0.02  ,       __A=1E-12  ,       __A=True  ,       __A=None  ,       __A=1  ,       __A=0  ,       __A=2  ,       **__A  ,       ):
        super().__init__(pad_token_id=__A  ,       bos_token_id=__A  ,       eos_token_id=__A  ,       **__A    )

        __a					=  vocab_size
        __a					=  entity_vocab_size
        __a					=  hidden_size
        __a					=  entity_emb_size
        __a					=  num_hidden_layers
        __a					=  num_attention_heads
        __a					=  hidden_act
        __a					=  intermediate_size
        __a					=  hidden_dropout_prob
        __a					=  attention_probs_dropout_prob
        __a					=  max_position_embeddings
        __a					=  type_vocab_size
        __a					=  initializer_range
        __a					=  layer_norm_eps
        __a					=  use_entity_aware_attention
        __a					=  classifier_dropout



