def test_with_spikes(self): transform = RandomSpike() transformed = transform(self.sample_subject) self.assertTensorNotEqual( self.sample_subject.t1.data, transformed.t1.data, )
def test_with_zero_intensity(self): transform = RandomSpike(intensity=0) transformed = transform(self.sample_subject) self.assertTensorAlmostEqual( self.sample_subject.t1.data, transformed.t1.data, )
def test_wrong_intensity_type(self): with self.assertRaises(ValueError): RandomSpike(intensity='wrong')
def test_wrong_num_spikes_type(self): with self.assertRaises(ValueError): RandomSpike(num_spikes='wrong')
def test_not_integer_num_spikes(self): with self.assertRaises(ValueError): RandomSpike(num_spikes=(0.7, 4))
def test_num_spikes_range_with_negative_min(self): with self.assertRaises(ValueError): RandomSpike(num_spikes=(-1, 4))
def test_negative_num_spikes(self): with self.assertRaises(ValueError): RandomSpike(num_spikes=-1)
def test_with_zero_spike(self): transform = RandomSpike(num_spikes=0) transformed = transform(self.sample) self.assertTensorAlmostEqual(self.sample.t1.data, transformed.t1.data)
def test_with_zero_intensity(self): transform = RandomSpike(intensity=0) transformed = transform(self.sample) assert_array_equal(self.sample.t1.data, transformed.t1.data)
def test_with_spikes(self): transform = RandomSpike() transformed = transform(self.sample) with self.assertRaises(AssertionError): assert_array_equal(self.sample.t1.data, transformed.t1.data)
def test_with_zero_spike(self): transform = RandomSpike(num_spikes=0) transformed = transform(self.sample) assert_array_equal(self.sample.t1.data, transformed.t1.data)