




def      _a				(						SCREAMING_SNAKE_CASE_							:    dict					):
					__lowerCAmelCase           =	set()
					# edges = list of graph's edges
					__lowerCAmelCase           =	get_edges(SCREAMING_SNAKE_CASE_					)

					# While there are still elements in edges list, take an arbitrary edge
					# (from_node, to_node) and add his extremity to chosen_vertices and then
					# remove all arcs adjacent to the from_node and to_node
					while edges:
										__lowerCAmelCase       ,							__lowerCAmelCase           =	edges.pop()
										chosen_vertices.add(SCREAMING_SNAKE_CASE_					)
										chosen_vertices.add(SCREAMING_SNAKE_CASE_					)
										for edge in edges.copy():
															if from_node in edge or to_node in edge:
																				edges.discard(SCREAMING_SNAKE_CASE_					)
					return chosen_vertices







def      _a				(						SCREAMING_SNAKE_CASE_							:    dict					):
					__lowerCAmelCase           =	set()
					for from_node, to_nodes in graph.items():
										for to_node in to_nodes:
															edges.add((from_node, to_node)					)
					return edges


if __name__ == "__main__":
					import doctest

					doctest.testmod()

					# graph = {0: [1, 3], 1: [0, 3], 2: [0, 3, 4], 3: [0, 1, 2], 4: [2, 3]}
					# print(f"Matching vertex cover:\n{matching_min_vertex_cover(graph)}")










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


UpperCamelCase__         =      logging.get_logger(__name__)

UpperCamelCase__         =      {
    """alibaba-damo/mgp-str-base""": """https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json""",
}
class       a__   ( snake_case__				):
						_a							:   Dict =   """mgp-str"""






						def __init__(       self		,      _A=[3_2, 1_2_8]		,      _A=4		,      _A=3		,      _A=2_7		,      _A=3_8		,      _A=5_0_2_5_7		,      _A=3_0_5_2_2		,      _A=7_6_8		,      _A=1_2		,      _A=1_2		,      _A=4.0		,      _A=True		,      _A=False		,      _A=1E-5		,      _A=0.0		,      _A=0.0		,      _A=0.0		,      _A=False		,      _A=0.02		,      **_A		,      ):




											"""simple docstring"""



											super().__init__(**_A      )

											__lowerCAmelCase           =	image_size
											__lowerCAmelCase           =	patch_size
											__lowerCAmelCase           =	num_channels
											__lowerCAmelCase           =	max_token_length
											__lowerCAmelCase           =	num_character_labels
											__lowerCAmelCase           =	num_bpe_labels
											__lowerCAmelCase           =	num_wordpiece_labels
											__lowerCAmelCase           =	hidden_size
											__lowerCAmelCase           =	num_hidden_layers
											__lowerCAmelCase           =	num_attention_heads
											__lowerCAmelCase           =	mlp_ratio
											__lowerCAmelCase           =	distilled
											__lowerCAmelCase           =	layer_norm_eps
											__lowerCAmelCase           =	drop_rate
											__lowerCAmelCase           =	qkv_bias
											__lowerCAmelCase           =	attn_drop_rate
											__lowerCAmelCase           =	drop_path_rate
											__lowerCAmelCase           =	output_aa_attentions
											__lowerCAmelCase           =	initializer_range




