def test_validarmatriz_exercicio1(self):
matrix = np.matrix([[1 / 3, 0, 2 / 3, 0,
0], [1 / 4, 1 / 2, 1 / 4, 0, 0],
[1 / 2, 0, 1 / 2, 0, 0], [0, 0, 0, 0, 1],
[0, 0, 0, 2 / 3, 1 / 3]])
validar_matriz(matrix, 5)
self.assertTrue(True)
def test_validarmatriz_NaoEstocastica(self):
matrix = np.array([[1, 0], [1, 1]])
try:
validar_matriz(matrix, 2)
except ArithmeticError:
pass
except Exception:
self.fail()
else:
self.fail()
def test_validarmatriz_tamanhoErrado(self):
matrix = np.array([[1, 2, 3, 4], [1, 2, 3, 4]])
try:
validar_matriz(matrix, 2)
except ArithmeticError:
pass
except Exception:
self.fail()
else:
self.fail()
def exercicio1(P: np.array, i: int, j: int, n: int, qtd: int):
validar_matriz(P, 5)
return sum(1 for k in range(qtd) if simulaca_markov(P, i, n) == j) / qtd
def exercicio2(P: np.matrix, X_0: int, n: int, qtd: int):
validar_matriz(P, 4)
ans = 0
for k in range(qtd):
ans += simula_limite(P, X_0, n)
return ans/qtd
def test_exercicio2_verificaSeEValido(self):
P = np.matrix([[1 / 3, 0, 2 / 3, 0], [1 / 4, 1 / 2, 1 / 4, 0],
[1 / 2, 0, 1 / 2, 0], [0, 1 / 3, 0, 2 / 3]])
validar_matriz(P, 4)
self.assertTrue(True)
def test_validar_matriz(self):
matrix = np.array([[1, 0], [0, 1]])
validar_matriz(matrix, 2)
self.assertTrue(True)