def test_newton_method4():
def func1(x, y):
return x**2
func_lambda = func1
init_value = 100
value = rf.newton_method(func_lambda, init_value)
assert value == "Function and Init_values do not match"
def test_newton_method3():
func_lambda = lambda x, y: [x * y**2, x + y - 20]
init_value = [1, 3]
res_x = rf.newton_method(func_lambda, init_value)
res_y = func_lambda(*res_x)
assert (round(res_x[0], 2), res_x[1]) == (0, 20)
assert (round(res_y[0], 2), res_y[1]) == (0, 0)
def test_newton_method2():
def func1(x):
return x**2
func_lambda = func1
init_value = 100
value = rf.newton_method(func_lambda, init_value)
assert round(value, 2) == 0.
def test_newton_method7():
func_lambda = lambda x, y, z: [z + x * y**2, z + x + y - 20]
init_value = [1, 3, 0]
res_x = rf.newton_method(func_lambda, init_value)
res_y = func_lambda(*res_x)
print(res_x)
print(res_y)
with pytest.warns(UserWarning):
warnings.warn("Matrix not squared: Using Moore Penrose Pseudo-Inverse",
UserWarning)
assert round(res_x[0], 2) == -1.54
def test_newton_method():
func_lambda = lambda x: x**2
init_value = 100
value = rf.newton_method(func_lambda, init_value)
assert round(value, 2) == 0.
def test_newton_method6():
func_lambda = lambda x: x**2
init_value = 100
with pytest.raises(RuntimeError):
res_x = rf.newton_method(func_lambda, init_value, max_steps=2)
def test_newton_method5():
func_lambda = lambda x, y: [x * y**2, x + y - 20]
init_value = [1, 3]
with pytest.raises(RuntimeError):
res_x = rf.newton_method(func_lambda, init_value, max_steps=5)