
'''simple docstring'''



class   UpperCAmelCase_					:






						'''simple docstring'''






						def __init__( self   ,       _lowercase   ,       _lowercase   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			None
												_lowerCAmelCase  						=			None
												_lowerCAmelCase  						=			graph

												self._normalize_graph(_SCREAMING_SNAKE_CASE   ,       _SCREAMING_SNAKE_CASE				)
												_lowerCAmelCase  						=			len(_SCREAMING_SNAKE_CASE				)
												_lowerCAmelCase  						=			None




						def  _lowercase     ( self   ,       _lowercase   ,       _lowercase				):

												"""simple docstring"""



												if sources is int:
																		_lowerCAmelCase  						=			[sources]
												if sinks is int:
																		_lowerCAmelCase  						=			[sinks]

												if len(_SCREAMING_SNAKE_CASE				) == 0 or len(_SCREAMING_SNAKE_CASE				) == 0:
																		return

												_lowerCAmelCase  						=			sources[0]
												_lowerCAmelCase  						=			sinks[0]

												# make fake vertex if there are more
												# than one source or sink
												if len(_SCREAMING_SNAKE_CASE				) > 1 or len(_SCREAMING_SNAKE_CASE				) > 1:
																		_lowerCAmelCase  						=			0
																		for i in sources:
																								max_input_flow += sum(self.graph[i]				)

																		_lowerCAmelCase  						=			len(self.graph				) + 1
																		for room in self.graph:
																								room.insert(0   ,       0				)
																		self.graph.insert(0   ,       [0] * size				)
																		for i in sources:
																								_lowerCAmelCase  						=			max_input_flow
																		_lowerCAmelCase  						=			0

																		_lowerCAmelCase  						=			len(self.graph				) + 1
																		for room in self.graph:
																								room.append(0				)
																		self.graph.append([0] * size				)
																		for i in sinks:
																								_lowerCAmelCase  						=			max_input_flow
																		_lowerCAmelCase  						=			size - 1




						def  _lowercase     ( self				):

												"""simple docstring"""



												if self.maximum_flow_algorithm is None:
																		raise Exception("""You need to set maximum flow algorithm before."""				)
												if self.source_index is None or self.sink_index is None:
																		return 0

												self.maximum_flow_algorithm.execute()
												return self.maximum_flow_algorithm.getMaximumFlow()




						def  _lowercase     ( self   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			algorithm(self				)






class   UpperCAmelCase_					:






						'''simple docstring'''






						def __init__( self   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			flow_network
												_lowerCAmelCase  						=			flow_network.verticesCount
												_lowerCAmelCase  						=			flow_network.sourceIndex
												_lowerCAmelCase  						=			flow_network.sinkIndex
												# it's just a reference, so you shouldn't change
												# it in your algorithms, use deep copy before doing that
												_lowerCAmelCase  						=			flow_network.graph
												_lowerCAmelCase  						=			False




						def  _lowercase     ( self				):

												"""simple docstring"""



												if not self.executed:
																		self._algorithm()
																		_lowerCAmelCase  						=			True




						def  _lowercase     ( self				):

												"""simple docstring"""



												pass






class   UpperCAmelCase_					(		_UpperCamelCase			):






						'''simple docstring'''






						def __init__( self   ,       _lowercase				):

												"""simple docstring"""



												super().__init__(_SCREAMING_SNAKE_CASE				)
												# use this to save your result
												_lowerCAmelCase  						=			-1




						def  _lowercase     ( self				):

												"""simple docstring"""



												if not self.executed:
																		raise Exception("""You should execute algorithm before using its result!"""				)

												return self.maximum_flow






class   UpperCAmelCase_					(		_UpperCamelCase			):






						'''simple docstring'''






						def __init__( self   ,       _lowercase				):

												"""simple docstring"""



												super().__init__(_SCREAMING_SNAKE_CASE				)

												_lowerCAmelCase  						=			[[0] * self.verticies_count for i in range(self.verticies_count				)]

												_lowerCAmelCase  						=			[0] * self.verticies_count
												_lowerCAmelCase  						=			[0] * self.verticies_count




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.verticies_count

												# push some substance to graph
												for nextvertex_index, bandwidth in enumerate(self.graph[self.source_index]				):
																		self.preflow[self.source_index][nextvertex_index] += bandwidth
																		self.preflow[nextvertex_index][self.source_index] -= bandwidth
																		self.excesses[nextvertex_index] += bandwidth

												# Relabel-to-front selection rule
												_lowerCAmelCase  						=			[
												    i
												    for i in range(self.verticies_count				)
												    if i != self.source_index and i != self.sink_index
												]

												# move through list
												_lowerCAmelCase  						=			0
												while i < len(_SCREAMING_SNAKE_CASE				):
																		_lowerCAmelCase  						=			vertices_list[i]
																		_lowerCAmelCase  						=			self.heights[vertex_index]
																		self.process_vertex(_SCREAMING_SNAKE_CASE				)
																		if self.heights[vertex_index] > previous_height:
																								# if it was relabeled, swap elements
																								# and start from 0 index
																								vertices_list.insert(0   ,       vertices_list.pop(_SCREAMING_SNAKE_CASE				)				)
																								_lowerCAmelCase  						=			0
																		else:
																								i += 1

												_lowerCAmelCase  						=			sum(self.preflow[self.source_index]				)




						def  _lowercase     ( self   ,       _lowercase				):

												"""simple docstring"""



												while self.excesses[vertex_index] > 0:
																		for neighbour_index in range(self.verticies_count				):
																								# if it's neighbour and current vertex is higher
																								if (
																								    self.graph[vertex_index][neighbour_index]
																								    - self.preflow[vertex_index][neighbour_index]
																								    > 0
																								    and self.heights[vertex_index] > self.heights[neighbour_index]
																								):
																														self.push(_SCREAMING_SNAKE_CASE   ,       _SCREAMING_SNAKE_CASE				)

																		self.relabel(_SCREAMING_SNAKE_CASE				)




						def  _lowercase     ( self   ,       _lowercase   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			min(
												    self.excesses[from_index]   ,       self.graph[from_index][to_index] - self.preflow[from_index][to_index]   ,       )
												self.preflow[from_index][to_index] += preflow_delta
												self.preflow[to_index][from_index] -= preflow_delta
												self.excesses[from_index] -= preflow_delta
												self.excesses[to_index] += preflow_delta




						def  _lowercase     ( self   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			None
												for to_index in range(self.verticies_count				):
																		if (
																		    self.graph[vertex_index][to_index]
																		    - self.preflow[vertex_index][to_index]
																		    > 0
																		) and (min_height is None or self.heights[to_index] < min_height):
																								_lowerCAmelCase  						=			self.heights[to_index]

												if min_height is not None:
																		_lowerCAmelCase  						=			min_height + 1


if __name__ == "__main__":
						_lowercase    =		[0]
						_lowercase    =		[3]
						# graph = [
						#     [0, 0, 4, 6, 0, 0],
						#     [0, 0, 5, 2, 0, 0],
						#     [0, 0, 0, 0, 4, 4],
						#     [0, 0, 0, 0, 6, 6],
						#     [0, 0, 0, 0, 0, 0],
						#     [0, 0, 0, 0, 0, 0],
						# ]
						_lowercase    =		[[0, 7, 0, 0], [0, 0, 6, 0], [0, 0, 0, 8], [9, 0, 0, 0]]

						# prepare our network
						_lowercase    =		FlowNetwork(graph, entrances, exits)
						# set algorithm
						flow_network.set_maximum_flow_algorithm(PushRelabelExecutor)
						# and calculate
						_lowercase    =		flow_network.find_maximum_flow()

						print(F"""maximum flow is {maximum_flow}""")


'''simple docstring'''



import logging

from transformers import PretrainedConfig


_lowercase    =		logging.getLogger(__name__)


_lowercase    =		{
    """bertabs-finetuned-cnndm""": """https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json""",
}




class   UpperCAmelCase_					(		_SCREAMING_SNAKE_CASE			):






						'''simple docstring'''






						_lowercase		:				Optional[Any]									=       '''bertabs'''




						def __init__( self   ,       _lowercase=30_522   ,       _lowercase=512   ,       _lowercase=6   ,       _lowercase=512   ,       _lowercase=8   ,       _lowercase=512   ,       _lowercase=0.2   ,       _lowercase=6   ,       _lowercase=768   ,       _lowercase=8   ,       _lowercase=2_048   ,       _lowercase=0.2   ,       **_lowercase   ,       ):

												"""simple docstring"""



												super().__init__(**_lowercase				)

												_lowerCAmelCase  						=			vocab_size
												_lowerCAmelCase  						=			max_pos

												_lowerCAmelCase  						=			enc_layers
												_lowerCAmelCase  						=			enc_hidden_size
												_lowerCAmelCase  						=			enc_heads
												_lowerCAmelCase  						=			enc_ff_size
												_lowerCAmelCase  						=			enc_dropout

												_lowerCAmelCase  						=			dec_layers
												_lowerCAmelCase  						=			dec_hidden_size
												_lowerCAmelCase  						=			dec_heads
												_lowerCAmelCase  						=			dec_ff_size
												_lowerCAmelCase  						=			dec_dropout
