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)