
def        __lowerCAmelCase    (       _UpperCamelCase		:  List[str]	)		->							int:
 '''simple docstring'''


 if not isinstance(_lowerCAmelCase		,							_lowerCAmelCase	):
  raise TypeError('only integers accepted as input'	)
 else:
  SCREAMING_SNAKE_CASE								=			str(abs(_lowerCAmelCase	)	)
  SCREAMING_SNAKE_CASE								=			[list(_lowerCAmelCase	) for char in range(len(_lowerCAmelCase	)	)]
  for index in range(len(_lowerCAmelCase	)	):
   num_transpositions[index].pop(_lowerCAmelCase	)
  return max(
      int(''.join(list(_lowerCAmelCase	)	)	) for transposition in num_transpositions	)


if __name__ == "__main__":
      __import__("doctest").testmod()




import random


def        __lowerCAmelCase    (       _UpperCamelCase		:  int		,							_UpperCamelCase		:  float		,							_UpperCamelCase		:  bool = False	)		->							dict:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE								=			{i: [] for i in range(_UpperCamelCase	)}

 # if probability is greater or equal than 1, then generate a complete graph
 if probability >= 1:
  return complete_graph(_UpperCamelCase	)
 # if probability is lower or equal than 0, then return a graph without edges
 if probability <= 0:
  return graph

 # for each couple of nodes, add an edge from u to v
 # if the number randomly generated is greater than probability probability
 for i in range(_UpperCamelCase	):
  for j in range(i + 1		,							_UpperCamelCase	):
   if random.random() < probability:
    graph[i].append(_UpperCamelCase	)
    if not directed:
     # if the graph is undirected, add an edge in from j to i, either
     graph[j].append(_UpperCamelCase	)
 return graph


def        __lowerCAmelCase    (       _UpperCamelCase		:  int	)		->							dict:
 '''simple docstring'''


 return {
     i: [j for j in range(_UpperCamelCase	) if i != j] for i in range(_UpperCamelCase	)
 }


if __name__ == "__main__":
      import doctest

      doctest.testmod()

