def test_cat_trials_dimensions(self):
"""cat_trials did not always return a 2d array."""
self.assertEqual(
datatools.cat_trials(np.random.randn(2, 2, 100)).ndim, 2)
self.assertEqual(
datatools.cat_trials(np.random.randn(1, 2, 100)).ndim, 2)
self.assertEqual(
datatools.cat_trials(np.random.randn(2, 1, 100)).ndim, 2)
self.assertEqual(
datatools.cat_trials(np.random.randn(1, 1, 100)).ndim, 2)
def test_cat_trials(self):
x = np.random.randn(60, 5, 9)
xc = x.copy()
y = datatools.cat_trials(x)
self.assertTrue(np.all(x == xc))
self.assertEqual(y.shape, (x.shape[0] * x.shape[2], x.shape[1]))
for it in range(x.shape[2]):
a = y[it * x.shape[0]: (it + 1) * x.shape[0], :]
b = x[:, :, it]
self.assertTrue(np.all(a == b))
def test_cat_trials(self):
x = np.random.randn(9, 5, 60)
xc = x.copy()
y = datatools.cat_trials(x)
self.assertTrue(np.all(x == xc))
self.assertEqual(y.shape, (x.shape[1], x.shape[0] * x.shape[2]))
for it in range(x.shape[0]):
a = y[:, it * x.shape[2]:(it + 1) * x.shape[2]]
b = x[it, :, :]
self.assertTrue(np.all(a == b))
def test_cat_trials_dimensions(self):
"""cat_trials did not always return a 2d array."""
self.assertEqual(datatools.cat_trials(np.random.randn(100, 2, 2)).ndim, 2)
self.assertEqual(datatools.cat_trials(np.random.randn(100, 1, 2)).ndim, 2)
self.assertEqual(datatools.cat_trials(np.random.randn(100, 2, 1)).ndim, 2)
self.assertEqual(datatools.cat_trials(np.random.randn(100, 1, 1)).ndim, 2)