
import heapq as hq
import math
from collections.abc import Iterator





class       __A:

					def __init__(	self					:     str   ,					__UpperCamelCase					:     str   ):
												lowerCamelCase_							  =					str(id_   )
												lowerCamelCase_							  =					None
												lowerCamelCase_							  =					None
												lowerCamelCase_							  =					[]
												lowerCamelCase_							  =					{}  # {vertex:distance}

					def __lt__(	self					:     str   ,					__UpperCamelCase					:     Union[str, Any]   ):
												return self.key < other.key

					def __repr__(	self					:     Optional[int]   ):
												return self.id

					def    lowercase__      (	self					:     Any   ,					__UpperCamelCase					:     Any   ):
												self.neighbors.append(A_   )



					def    lowercase__      (	self					:     Dict   ,					__UpperCamelCase					:     Union[str, Any]   ,					__UpperCamelCase					:     Any   ):
												lowerCamelCase_							  =					weight



def      __lowerCAmelCase						(							UpperCAmelCase__				:      Dict			,				UpperCAmelCase__				:      Union[str, Any]			,				UpperCAmelCase__				:      Optional[int]			,				UpperCAmelCase__				:      Tuple       )  ->    List[Any]:
							# add the neighbors:
							graph[a - 1].add_neighbor(graph[b - 1]       )
							graph[b - 1].add_neighbor(graph[a - 1]       )
							# add the edges:
							graph[a - 1].add_edge(graph[b - 1]			,				_lowerCAmelCase       )
							graph[b - 1].add_edge(graph[a - 1]			,				_lowerCAmelCase       )



def      __lowerCAmelCase						(							UpperCAmelCase__				:      Union[str, Any]			,				UpperCAmelCase__				:      Any       )  ->    list:
							lowerCamelCase_							  =					[]
							for u in graph:
														lowerCamelCase_							  =					math.inf
														lowerCamelCase_							  =					None
							lowerCamelCase_							  =					0
							lowerCamelCase_							  =					graph[:]
							while q:
														lowerCamelCase_							  =					min(_lowerCAmelCase       )
														q.remove(_lowerCAmelCase       )
														for v in u.neighbors:
																					if (v in q) and (u.edges[v.id] < v.key):
																												lowerCamelCase_							  =					u
																												lowerCamelCase_							  =					u.edges[v.id]
							for i in range(1			,				len(_lowerCAmelCase       )       ):
														a.append((int(graph[i].id       ) + 1, int(graph[i].pi.id       ) + 1)       )
							return a



def      __lowerCAmelCase						(							UpperCAmelCase__				:      Union[str, Any]			,				UpperCAmelCase__				:      List[str]       )  ->    Iterator[tuple]:
							for u in graph:
														lowerCamelCase_							  =					math.inf
														lowerCamelCase_							  =					None
							lowerCamelCase_							  =					0

							lowerCamelCase_							  =					list(_lowerCAmelCase       )
							hq.heapify(_lowerCAmelCase       )

							while h:
														lowerCamelCase_							  =					hq.heappop(_lowerCAmelCase       )
														for v in u.neighbors:
																					if (v in h) and (u.edges[v.id] < v.key):
																												lowerCamelCase_							  =					u
																												lowerCamelCase_							  =					u.edges[v.id]
																												hq.heapify(_lowerCAmelCase       )

							for i in range(1			,				len(_lowerCAmelCase       )       ):
														yield (int(graph[i].id       ) + 1, int(graph[i].pi.id       ) + 1)



def      __lowerCAmelCase						(							)  ->    None:
							pass


if __name__ == "__main__":
		import doctest

		doctest.testmod()







# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import torch

from ..models.auto import AutoModelForSequenceClassification, AutoTokenizer
from .base import PipelineTool





class       __A(				UpperCAmelCase       ):
					SCREAMING_SNAKE_CASE			    =    '''facebook/bart-large-mnli'''
					SCREAMING_SNAKE_CASE			    =    (
					    '''This is a tool that classifies an English text using provided labels. It takes two inputs: `text`, which '''
					    '''should be the text to classify, and `labels`, which should be the list of labels to use for classification. '''
					    '''It returns the most likely label in the list of provided `labels` for the input text.'''
					)
					SCREAMING_SNAKE_CASE			    =    '''text_classifier'''
					SCREAMING_SNAKE_CASE			    =    AutoTokenizer
					SCREAMING_SNAKE_CASE			    =    AutoModelForSequenceClassification

					SCREAMING_SNAKE_CASE			    =    ['''text''', ['''text''']]
					SCREAMING_SNAKE_CASE			    =    ['''text''']

					def    lowercase__      (	self					:     Union[str, Any]   ):
												super().setup()
												lowerCamelCase_							  =					self.model.config
												lowerCamelCase_							  =					-1
												for idx, label in config.idalabel.items():
																			if label.lower().startswith("""entail"""   ):
																										lowerCamelCase_							  =					int(__UpperCamelCase   )
												if self.entailment_id == -1:
																			raise ValueError("""Could not determine the entailment ID from the model config, please pass it at init."""   )

					def    lowercase__      (	self					:     Any   ,					__UpperCamelCase					:     List[Any]   ,					__UpperCamelCase					:     Optional[Any]   ):
												lowerCamelCase_							  =					labels
												return self.pre_processor(
												    [text] * len(__UpperCamelCase   )   ,					[F'''This example is {label}''' for label in labels]   ,					return_tensors="""pt"""   ,					padding="""max_length"""   ,					)



					def    lowercase__      (	self					:     List[Any]   ,					__UpperCamelCase					:     List[str]   ):
												lowerCamelCase_							  =					outputs.logits
												lowerCamelCase_							  =					torch.argmax(logits[:, 2]   ).item()
												return self._labels[label_id]





