
class      UpperCamelCase (     SCREAMING_SNAKE_CASE   ):
    pass




class      UpperCamelCase (     SCREAMING_SNAKE_CASE   ):
    pass




class      UpperCamelCase :

    def __init__(			self :      List[Any]    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			[
         [],
         [],
         [],
     ]

    def UpperCamelCase			(			self :      List[Any]							,    snake_case__ :      Any							,    snake_case__ :      Optional[Any]    ):

     """simple docstring"""






     try:
      if len(self.queues[priority]    ) >= 1_0_0:
       raise OverflowError('Maximum queue size is 100'    )
      self.queues[priority].append(snake_case__    )
     except IndexError:
      raise ValueError('Valid priorities are 0, 1, and 2'    )

    def UpperCamelCase			(			self :      Optional[Any]    ):

     """simple docstring"""






     for queue in self.queues:
      if queue:
       return queue.pop(0    )
     raise UnderFlowError('All queues are empty'    )




    def __str__(			self :      Tuple    ):

     """simple docstring"""






     return "\n".join(F"""Priority {i}: {q}""" for i, q in enumerate(self.queues    )    )




class      UpperCamelCase :

    def __init__(			self :      Optional[Any]    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			[]

    def UpperCamelCase			(			self :      Union[str, Any]							,    snake_case__ :      Dict    ):

     """simple docstring"""






     if len(self.queue    ) == 1_0_0:
      raise OverFlowError('Maximum queue size is 100'    )
     self.queue.append(snake_case__    )

    def UpperCamelCase			(			self :      str    ):

     """simple docstring"""






     if not self.queue:
      raise UnderFlowError('The queue is empty'    )
     else:
      SCREAMING_SNAKE_CASE								=			min(self.queue    )
      self.queue.remove(snake_case__    )
      return data




    def __str__(			self :      int    ):

     """simple docstring"""






     return str(self.queue    )


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


 SCREAMING_SNAKE_CASE								=			FixedPriorityQueue()
 fpq.enqueue(0		,							10	)
 fpq.enqueue(1		,							70	)
 fpq.enqueue(0		,							1_00	)
 fpq.enqueue(2		,							1	)
 fpq.enqueue(2		,							5	)
 fpq.enqueue(1		,							7	)
 fpq.enqueue(2		,							4	)
 fpq.enqueue(1		,							64	)
 fpq.enqueue(0		,							1_28	)
 print(_UpperCamelCase	)
 print(fpq.dequeue()	)
 print(fpq.dequeue()	)
 print(fpq.dequeue()	)
 print(fpq.dequeue()	)
 print(fpq.dequeue()	)
 print(_UpperCamelCase	)
 print(fpq.dequeue()	)
 print(fpq.dequeue()	)
 print(fpq.dequeue()	)
 print(fpq.dequeue()	)
 print(fpq.dequeue()	)


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


 SCREAMING_SNAKE_CASE								=			ElementPriorityQueue()
 epq.enqueue(10	)
 epq.enqueue(70	)
 epq.enqueue(1_00	)
 epq.enqueue(1	)
 epq.enqueue(5	)
 epq.enqueue(7	)
 epq.enqueue(4	)
 epq.enqueue(64	)
 epq.enqueue(1_28	)
 print(_UpperCamelCase	)
 print(epq.dequeue()	)
 print(epq.dequeue()	)
 print(epq.dequeue()	)
 print(epq.dequeue()	)
 print(epq.dequeue()	)
 print(_UpperCamelCase	)
 print(epq.dequeue()	)
 print(epq.dequeue()	)
 print(epq.dequeue()	)
 print(epq.dequeue()	)
 print(epq.dequeue()	)


if __name__ == "__main__":
      fixed_priority_queue()
      element_priority_queue()




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()

