





'''simple docstring'''



__magic_name__ :    Union[str, Any]			 =      [
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]




def 					snake_case_   (		SCREAMING_SNAKE_CASE__       ,						SCREAMING_SNAKE_CASE__       ,						SCREAMING_SNAKE_CASE__       ,						SCREAMING_SNAKE_CASE__							):







  '''simple docstring'''



  _snake_case  		=					[False] * len(SCREAMING_SNAKE_CASE__							)
  _snake_case  		=					[s]
  _snake_case  		=					True

  while queue:
    _snake_case  		=					queue.pop(0							)
    for ind in range(len(graph[u]							)							):
      if visited[ind] is False and graph[u][ind] > 0:
        queue.append(SCREAMING_SNAKE_CASE__							)
        _snake_case  		=					True
        _snake_case  		=					u

  return visited[t]




def 					snake_case_   (		SCREAMING_SNAKE_CASE__       ,						SCREAMING_SNAKE_CASE__       ,						SCREAMING_SNAKE_CASE__							):







  '''simple docstring'''



  _snake_case  		=					[-1] * (len(SCREAMING_SNAKE_CASE__							))
  _snake_case  		=					0
  _snake_case  		=					[]
  _snake_case  		=					[i[:] for i in graph]  # Record original cut, copy.
  while bfs(SCREAMING_SNAKE_CASE__       ,						SCREAMING_SNAKE_CASE__       ,						SCREAMING_SNAKE_CASE__       ,						SCREAMING_SNAKE_CASE__							):
    _snake_case  		=					float("Inf"							)
    _snake_case  		=					sink

    while s != source:
      # Find the minimum value in select path
      _snake_case  		=					min(SCREAMING_SNAKE_CASE__       ,						graph[parent[s]][s]							)
      _snake_case  		=					parent[s]

    max_flow += path_flow
    _snake_case  		=					sink

    while v != source:
      _snake_case  		=					parent[v]
      graph[u][v] -= path_flow
      graph[v][u] += path_flow
      _snake_case  		=					parent[v]

  for i in range(len(SCREAMING_SNAKE_CASE__							)							):
    for j in range(len(graph[0]							)							):
      if graph[i][j] == 0 and temp[i][j] > 0:
        res.append((i, j)							)

  return res


if __name__ == "__main__":
 print(mincut(test_graph, source=0, sink=5))








import qiskit

def lowercase    (  SCREAMING_SNAKE_CASE = 2 )			->							qiskit.result.counts.Counts:


			'''simple docstring'''







			SCREAMING_SNAKE_CASE_								=						qubits

			# Using Aer's simulator
			SCREAMING_SNAKE_CASE_								=						qiskit.Aer.get_backend('aer_simulator' )

			# Creating a Quantum Circuit acting on the q register
			SCREAMING_SNAKE_CASE_								=						qiskit.QuantumCircuit(SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE )

			# Adding a H gate on qubit 0 (now q0 in superposition)
			circuit.h(0 )

			for i in range(1       ,    SCREAMING_SNAKE_CASE ):
						# Adding CX (CNOT) gate
						circuit.cx(i - 1       ,    SCREAMING_SNAKE_CASE )

			# Mapping the quantum measurement to the classical bits
			circuit.measure(list(range(SCREAMING_SNAKE_CASE ) )       ,    list(range(SCREAMING_SNAKE_CASE ) ) )

			# Now measuring any one qubit would affect other qubits to collapse
			# their super position and have same state as the measured one.

			# Executing the circuit on the simulator
			SCREAMING_SNAKE_CASE_								=						qiskit.execute(SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    shots=10_00 )

			return job.result().get_counts(SCREAMING_SNAKE_CASE )


if __name__ == "__main__":
				print(f"""Total count for various states are: {quantum_entanglement(3)}""")
