def test_signal_eval():
correct = np.array([0.838994692557355, 0.837327409972626,
-0.031207568389303, 1.657908483235176,
-0.360441537030637, 0.168059166213009,
0.160726869260051, -1.587990964413157,
0.181569295634131, -1.137612460021985])
t = np.linspace(0, 0.25, 10)
s1 = fitting.sinewave(1, 50, 0.5, 0.0)
s2 = fitting.sinewave(0.75, 75, 0.5, 0.0)
signal = fitting.signal()
signal.add_component(s1)
signal.add_component(s2)
assert(np.allclose(signal.evaluate(t), correct, atol=1e-15))
def test_signal_eval():
correct = np.array([
0.838994692557355, 0.837327409972626, -0.031207568389303,
1.657908483235176, -0.360441537030637, 0.168059166213009,
0.160726869260051, -1.587990964413157, 0.181569295634131,
-1.137612460021985
])
t = np.linspace(0, 0.25, 10)
s1 = fitting.sinewave(1, 50, 0.5, 0.0)
s2 = fitting.sinewave(0.75, 75, 0.5, 0.0)
signal = fitting.signal()
signal.add_component(s1)
signal.add_component(s2)
assert (np.allclose(signal.evaluate(t), correct, atol=1e-15))
def test_evaluate_sine():
s = fitting.sinewave(1, 1, 1, 1)
correct = np.array([1.841470984807897, 1.99190379965505,
1.678213802860806, 1.04718003020117,
0.394070197062779, 0.024481652878359,
0.111348984990933, 0.614026003282171,
1.297304544260835, 1.841470984807895])
assert(np.allclose(s.evaluate(np.linspace(0, 10, 10)), correct,
atol=1e-15))
def test_evaluate_sine():
s = fitting.sinewave(1, 1, 1, 1)
correct = np.array([
1.841470984807897, 1.99190379965505, 1.678213802860806,
1.04718003020117, 0.394070197062779, 0.024481652878359,
0.111348984990933, 0.614026003282171, 1.297304544260835,
1.841470984807895
])
assert (np.allclose(s.evaluate(np.linspace(0, 10, 10)),
correct,
atol=1e-15))
def test_fitting_init():
sine = fitting.sinewave()
assert (sine)
def test_fitting_init():
sine = fitting.sinewave()
assert(sine)
