


'''simple docstring'''






import sys
from collections import defaultdict






class    __snake_case       :







    """simple docstring"""



    def __init__(   self    :  int		)   ->  Optional[Any]:
      lowerCAmelCase_			:      str			=   []

    def __lowercase   (   self    :  Optional[Any]    ,						lowerCamelCase    :  Optional[int]		)   ->  Union[str, Any]:
      return self.node_position[vertex]

    def __lowercase   (   self    :  Any    ,						lowerCamelCase    :  Any    ,						lowerCamelCase    :  Union[str, Any]		)   ->  Tuple:
      lowerCAmelCase_			:      str			=   pos

    def __lowercase   (   self    :  Union[str, Any]    ,						lowerCamelCase    :  Dict    ,						lowerCamelCase    :  int    ,						lowerCamelCase    :  int    ,						lowerCamelCase    :  List[str]		)   ->  List[str]:
      if start > size // 2 - 1:
        return
      else:
        if 2 * start + 2 >= size:
          lowerCAmelCase_			:      Union[str, Any]			=   2 * start + 1
        else:
          if heap[2 * start + 1] < heap[2 * start + 2]:
            lowerCAmelCase_			:      Optional[int]			=   2 * start + 1
          else:
            lowerCAmelCase_			:      Dict			=   2 * start + 2
        if heap[smallest_child] < heap[start]:
          lowerCAmelCase_,							lowerCAmelCase_			:      Any			=   heap[smallest_child], positions[smallest_child]
          lowerCAmelCase_,							lowerCAmelCase_			:      str			=   (
              heap[start],
              positions[start],
          )
          lowerCAmelCase_,							lowerCAmelCase_			:      List[Any]			=   temp, tempa

          lowerCAmelCase_			:      List[str]			=   self.get_position(positions[smallest_child]		)
          self.set_position(
              positions[smallest_child]    ,						self.get_position(positions[start]		)		)
          self.set_position(positions[start]    ,						lowerCamelCase		)

          self.top_to_bottom(lowerCamelCase    ,						lowerCamelCase    ,						lowerCamelCase    ,						lowerCamelCase		)

    def __lowercase   (   self    :  Optional[int]    ,						lowerCamelCase    :  Union[str, Any]    ,						lowerCamelCase    :  Any    ,						lowerCamelCase    :  List[str]    ,						lowerCamelCase    :  Any		)   ->  Any:
      lowerCAmelCase_			:      Optional[int]			=   position[index]

      while index != 0:
        lowerCAmelCase_			:      Tuple			=   int((index - 2) / 2		) if index % 2 == 0 else int((index - 1) / 2		)

        if val < heap[parent]:
          lowerCAmelCase_			:      Union[str, Any]			=   heap[parent]
          lowerCAmelCase_			:      Optional[Any]			=   position[parent]
          self.set_position(position[parent]    ,						lowerCamelCase		)
        else:
          lowerCAmelCase_			:      Any			=   val
          lowerCAmelCase_			:      str			=   temp
          self.set_position(lowerCamelCase    ,						lowerCamelCase		)
          break
        lowerCAmelCase_			:      int			=   parent
      else:
        lowerCAmelCase_			:      Any			=   val
        lowerCAmelCase_			:      Union[str, Any]			=   temp
        self.set_position(lowerCamelCase    ,						0		)

    def __lowercase   (   self    :  List[Any]    ,						lowerCamelCase    :  Tuple    ,						lowerCamelCase    :  Dict		)   ->  Any:
      lowerCAmelCase_			:      List[Any]			=   len(lowerCamelCase		) // 2 - 1
      for i in range(lowerCamelCase    ,						-1    ,						-1		):
        self.top_to_bottom(lowerCamelCase    ,						lowerCamelCase    ,						len(lowerCamelCase		)    ,						lowerCamelCase		)





    def __lowercase   (   self    :  Any    ,						lowerCamelCase    :  Union[str, Any]    ,						lowerCamelCase    :  Any		)   ->  Optional[Any]:
      lowerCAmelCase_			:      Dict			=   positions[0]
      lowerCAmelCase_			:      Union[str, Any]			=   sys.maxsize
      self.top_to_bottom(lowerCamelCase    ,						0    ,						len(lowerCamelCase		)    ,						lowerCamelCase		)
      return temp







def 				UpperCamelCase_			(    A__					:   Optional[int]					):
  '''simple docstring'''





  lowerCAmelCase_			:      Union[str, Any]			=   Heap()

  lowerCAmelCase_			:      Union[str, Any]			=   [0] * len(A__					)
  lowerCAmelCase_			:      List[str]			=   [-1] * len(A__					)  # Neighboring Tree Vertex of selected vertex
  # Minimum Distance of explored vertex with neighboring vertex of partial tree
  # formed in graph
  lowerCAmelCase_			:      int			=   []  # Heap of Distance of vertices from their neighboring vertex
  lowerCAmelCase_			:      Any			=   []

  for vertex in range(len(A__					)					):
    distance_tv.append(sys.maxsize					)
    positions.append(A__					)
    heap.node_position.append(A__					)

  lowerCAmelCase_			:      Optional[Any]			=   []
  lowerCAmelCase_			:      List[Any]			=   1
  lowerCAmelCase_			:      Any			=   sys.maxsize
  for neighbor, distance in adjacency_list[0]:
    lowerCAmelCase_			:      Dict			=   0
    lowerCAmelCase_			:      Tuple			=   distance
  heap.heapify(A__							,    A__					)

  for _ in range(1							,    len(A__					)					):
    lowerCAmelCase_			:      List[Any]			=   heap.delete_minimum(A__							,    A__					)
    if visited[vertex] == 0:
      tree_edges.append((nbr_tv[vertex], vertex)					)
      lowerCAmelCase_			:      Union[str, Any]			=   1
      for neighbor, distance in adjacency_list[vertex]:
        if (
            visited[neighbor] == 0
            and distance < distance_tv[heap.get_position(A__					)]
        ):
          lowerCAmelCase_			:      Dict			=   distance
          heap.bottom_to_top(
              A__							,    heap.get_position(A__					)							,    A__							,    A__					)
          lowerCAmelCase_			:      str			=   vertex
  return tree_edges


if __name__ == "__main__":  # pragma: no cover
  # < --------- Prims Algorithm --------- >
  __A					:  Any											=      int(input("Enter number of edges: ").strip())
  __A					:  Any											=      defaultdict(list)
  for _ in range(edges_number):
    __A					:  Dict											=      [int(x) for x in input().strip().split()]
    adjacency_list[edge[0]].append([edge[1], edge[2]])
    adjacency_list[edge[1]].append([edge[0], edge[2]])
  print(prisms_algorithm(adjacency_list))







'''simple docstring'''






# 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.
from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool






class    __snake_case       (   _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase    =					'philschmid/bart-large-cnn-samsum'
    lowercase    =					(
        'This is a tool that summarizes an English text. It takes an input `text` containing the text to summarize, '
        'and returns a summary of the text.'
    )
    lowercase    =					'summarizer'
    lowercase    =					AutoTokenizer
    lowercase    =					AutoModelForSeqaSeqLM

    lowercase    =					['text']
    lowercase    =					['text']

    def __lowercase   (   self    :  Dict    ,						lowerCamelCase    :  Dict		)   ->  Any:
      return self.pre_processor(lowerCamelCase    ,						return_tensors="""pt"""    ,						truncation=lowerCamelCase		)

    def __lowercase   (   self    :  Optional[Any]    ,						lowerCamelCase    :  Tuple		)   ->  List[str]:
      return self.model.generate(**lowerCamelCase		)[0]





    def __lowercase   (   self    :  str    ,						lowerCamelCase    :  Dict		)   ->  List[Any]:
      return self.pre_processor.decode(lowerCamelCase    ,						skip_special_tokens=lowerCamelCase    ,						clean_up_tokenization_spaces=lowerCamelCase		)



