






'''simple docstring'''

class 							__magic_name__     :







	"""simple docstring"""



	def __init__(							self  ,      _lowercase  ,      _lowercase  ,      _lowercase       )						->  Union[str, Any]:
							lowercase_      :   str        =			None
							lowercase_      :   Dict        =			None
							lowercase_      :   str        =			graph

							self._normalize_graph(_lowercase  ,      _lowercase       )
							lowercase_      :   List[str]        =			len(_lowercase       )
							lowercase_      :   Optional[Any]        =			None
	def        lowerCamelCase__		(							self  ,      _lowercase  ,      _lowercase       )						->  List[str]:
							if sources is int:
													lowercase_      :   Tuple        =			[sources]
							if sinks is int:
													lowercase_      :   Union[str, Any]        =			[sinks]

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

							lowercase_      :   Dict        =			sources[0]
							lowercase_      :   Union[str, Any]        =			sinks[0]

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

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

													lowercase_      :   Any        =			len(self.graph       ) + 1
													for room in self.graph:
																			room.append(0       )
													self.graph.append([0] * size       )
													for i in sinks:
																			lowercase_      :   str        =			max_input_flow
													lowercase_      :   str        =			size - 1
	def        lowerCamelCase__		(							self       )						->  int:
							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        lowerCamelCase__		(							self  ,      _lowercase       )						->  Optional[Any]:
							lowercase_      :   Union[str, Any]        =			algorithm(self       )






class 							__magic_name__     :







	"""simple docstring"""



	def __init__(							self  ,      _lowercase       )						->  Dict:
							lowercase_      :   List[Any]        =			flow_network
							lowercase_      :   Tuple        =			flow_network.verticesCount
							lowercase_      :   str        =			flow_network.sourceIndex
							lowercase_      :   Optional[int]        =			flow_network.sinkIndex
							# it's just a reference, so you shouldn't change
							# it in your algorithms, use deep copy before doing that
							lowercase_      :   Dict        =			flow_network.graph
							lowercase_      :   Optional[int]        =			False
	def        lowerCamelCase__		(							self       )						->  Optional[int]:
							if not self.executed:
													self._algorithm()
													lowercase_      :   str        =			True







	def        lowerCamelCase__		(							self       )						->  Any:
							pass






class 							__magic_name__     (	UpperCAmelCase_				):







	"""simple docstring"""



	def __init__(							self  ,      _lowercase       )						->  int:
							super().__init__(_lowercase       )
							# use this to save your result
							lowercase_      :   List[Any]        =			-1







	def        lowerCamelCase__		(							self       )						->  Dict:
							if not self.executed:
													raise Exception('You should execute algorithm before using its result!'       )

							return self.maximum_flow






class 							__magic_name__     (	UpperCAmelCase_				):







	"""simple docstring"""



	def __init__(							self  ,      _lowercase       )						->  List[Any]:
							super().__init__(_lowercase       )

							lowercase_      :   Union[str, Any]        =			[[0] * self.verticies_count for i in range(self.verticies_count       )]

							lowercase_      :   Any        =			[0] * self.verticies_count
							lowercase_      :   List[Any]        =			[0] * self.verticies_count
	def        lowerCamelCase__		(							self       )						->  List[Any]:
							lowercase_      :   Dict        =			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
							lowercase_      :   str        =			[
							    i
							    for i in range(self.verticies_count       )
							    if i != self.source_index and i != self.sink_index
							]

							# move through list
							lowercase_      :   List[Any]        =			0
							while i < len(_lowercase       ):
													lowercase_      :   Any        =			vertices_list[i]
													lowercase_      :   Optional[Any]        =			self.heights[vertex_index]
													self.process_vertex(_lowercase       )
													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(_lowercase       )       )
																			lowercase_      :   Union[str, Any]        =			0
													else:
																			i += 1

							lowercase_      :   str        =			sum(self.preflow[self.source_index]       )
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  List[Any]:
							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(_lowercase  ,      _lowercase       )

													self.relabel(_lowercase       )
	def        lowerCamelCase__		(							self  ,      _lowercase  ,      _lowercase       )						->  List[Any]:
							lowercase_      :   List[str]        =			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        lowerCamelCase__		(							self  ,      _lowercase       )						->  Optional[int]:
							lowercase_      :   Union[str, Any]        =			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):
																			lowercase_      :   Tuple        =			self.heights[to_index]

							if min_height is not None:
													lowercase_      :   Union[str, Any]        =			min_height + 1


if __name__ == "__main__":
						A:      str  				=				[0]
						A:      Dict  				=				[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],
						# ]
						A:      str  				=				[[0, 7, 0, 0], [0, 0, 6, 0], [0, 0, 0, 8], [9, 0, 0, 0]]

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

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








'''simple docstring'''

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


A:      int  				=				logging.get_logger(__name__)

A:      int  				=				{
    "bigcode/gpt_bigcode-santacoder": "https://huggingface.co/bigcode/gpt_bigcode-santacoder/resolve/main/config.json",
}






class 							__magic_name__     (	UpperCAmelCase_				):







	"""simple docstring"""



	SCREAMING_SNAKE_CASE_					:      List[str]        =  'gpt_bigcode'
	SCREAMING_SNAKE_CASE_					:      int        =  ['past_key_values']
	SCREAMING_SNAKE_CASE_					:      Any        =  {
	    'hidden_size': 'n_embd',
	    'max_position_embeddings': 'n_positions',
	    'num_attention_heads': 'n_head',
	    'num_hidden_layers': 'n_layer',
	}
	def __init__(							self  ,      _lowercase=5_0257  ,      _lowercase=1024  ,      _lowercase=768  ,      _lowercase=12  ,      _lowercase=12  ,      _lowercase=None  ,      _lowercase="gelu_pytorch_tanh"  ,      _lowercase=0.1  ,      _lowercase=0.1  ,      _lowercase=0.1  ,      _lowercase=1E-5  ,      _lowercase=0.02  ,      _lowercase=True  ,      _lowercase=True  ,      _lowercase=5_0256  ,      _lowercase=5_0256  ,      _lowercase=True  ,      _lowercase=True  ,      _lowercase=True  ,      **_lowercase  ,      )						->  Any:
							lowercase_      :   Tuple        =			vocab_size
							lowercase_      :   str        =			n_positions
							lowercase_      :   List[str]        =			n_embd
							lowercase_      :   str        =			n_layer
							lowercase_      :   Optional[Any]        =			n_head
							lowercase_      :   Optional[int]        =			n_inner
							lowercase_      :   Union[str, Any]        =			activation_function
							lowercase_      :   Dict        =			resid_pdrop
							lowercase_      :   str        =			embd_pdrop
							lowercase_      :   Optional[Any]        =			attn_pdrop
							lowercase_      :   List[Any]        =			layer_norm_epsilon
							lowercase_      :   Optional[int]        =			initializer_range
							lowercase_      :   List[Any]        =			scale_attn_weights
							lowercase_      :   Any        =			use_cache
							lowercase_      :   List[str]        =			attention_softmax_in_fpaa
							lowercase_      :   Any        =			scale_attention_softmax_in_fpaa
							lowercase_      :   Optional[Any]        =			multi_query

							lowercase_      :   Optional[Any]        =			bos_token_id
							lowercase_      :   Optional[Any]        =			eos_token_id

							super().__init__(bos_token_id=_lowercase  ,      eos_token_id=_lowercase  ,      **_lowercase       )
