
from __future__ import annotations



def    _lowercase       (   __SCREAMING_SNAKE_CASE					,     __SCREAMING_SNAKE_CASE			)						->  List[str]:
			if len(UpperCamelCase__			) < k or k < 0:
						raise ValueError('Invalid Input'			)
			UpperCamelCase__     :		Optional[int]	 =					sum(array[:k]			)
			for i in range(len(UpperCamelCase__			) - k			):
						UpperCamelCase__     :		Tuple	 =					current_sum - array[i] + array[i + k]
						UpperCamelCase__     :		List[str]	 =					max(UpperCamelCase__					,     UpperCamelCase__			)
			return max_sum


if __name__ == "__main__":
							from doctest import testmod
							from random import randint

							testmod()
							UpperCAmelCase__					:	Tuple							       =					[randint(-1_000, 1_000) for i in range(100)]
							UpperCAmelCase__					:	Union[str, Any]							       =					randint(0, 110)
							print(f'''The maximum sum of {k} consecutive elements is {max_sum_in_array(array,k)}''')







'''simple docstring'''
def       _lowercase							(					UpperCamelCase__							:       dict      ):
 __A	:		Dict	  =      set()
 # edges = list of graph's edges
 __A	:		Any	  =      get_edges(UpperCamelCase__      )

 # 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:
  __A  ,__A	:		List[Any]	  =      edges.pop()
  chosen_vertices.add(UpperCamelCase__      )
  chosen_vertices.add(UpperCamelCase__      )
  for edge in edges.copy():
   if from_node in edge or to_node in edge:
    edges.discard(UpperCamelCase__      )
 return chosen_vertices


def       _lowercase							(					UpperCamelCase__							:       dict      ):
 __A	:		Any	  =      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)}")






