def test_transform_sample_asinh(self):
xform = transforms.AsinhTransform('asinh',
param_t=10000,
param_m=4.5,
param_a=0)
data1_sample.apply_transform(xform)
self.assertIsInstance(data1_sample._transformed_events, np.ndarray)
def test_inverse_asinh_transform():
xform = transforms.AsinhTransform('asinh',
param_t=10000,
param_m=4.5,
param_a=0)
y = xform.apply(test_data_range1)
x = xform.inverse(y)
np.testing.assert_array_almost_equal(test_data_range1, x, decimal=10)
def test_transform_sample_asinh(self):
xform = transforms.AsinhTransform('asinh',
param_t=10000,
param_m=4.5,
param_a=0)
data1_sample.apply_transform(xform)
raw_events = data1_sample.get_events(source='raw')
xform_events = data1_sample.get_events(source='xform')
self.assertIsInstance(xform_events, np.ndarray)
self.assertRaises(AssertionError, np.testing.assert_array_equal,
raw_events, xform_events)