def test_LinearityGt(self):
n = Linearity(linearityData, partGt=np.array([0, 1]))
K, Bias, P = n.calculateLinearity()
np.testing.assert_array_almost_equal(K[Component.TOTAL], 1, 3)
np.testing.assert_array_almost_equal(Bias[Component.TOTAL], 0, 3)
np.testing.assert_array_almost_equal(P[Component.TOTAL], 0.209, 3)
def test_Linearity(self):
n = Linearity(data)
K, Bias, P = n.calculateLinearity()
np.testing.assert_array_almost_equal(K[Component.TOTAL], 0, 3)
np.testing.assert_array_almost_equal(Bias[Component.TOTAL], 0, 3)
np.testing.assert_array_almost_equal(P[Component.TOTAL], 1, 3)
def test_EstimateCoefOffset(self):
n = Linearity(data)
x = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
y = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
K, Bias, P = n.estimateCoef(x, y)
np.testing.assert_array_almost_equal(K, 1, 3)
np.testing.assert_array_almost_equal(Bias, 1, 3)
np.testing.assert_array_almost_equal(P, 0, 3)
def test_summary(self):
n = Linearity(data)
n.calculate()
n.summary()
self.assertTrue(True)
def test_summaryException(self):
n = Linearity(data)
self.assertRaises(Exception, n.summary)
def test_strAfterCalculated(self):
n = Linearity(data)
n.calculate()
n.__str__()
self.assertTrue(True)
def test_str(self):
n = Linearity(data)
n.__str__()
self.assertTrue(True)