def test_transpose(self):
v = Variable(['time', 'x'], self.d)
v2 = Variable(['x', 'time'], self.d.T)
self.assertVariableIdentical(v, v2.transpose())
self.assertVariableIdentical(v.transpose(), v.T)
x = np.random.randn(2, 3, 4, 5)
w = Variable(['a', 'b', 'c', 'd'], x)
w2 = Variable(['d', 'b', 'c', 'a'], np.einsum('abcd->dbca', x))
self.assertEqual(w2.shape, (5, 3, 4, 2))
self.assertVariableIdentical(w2, w.transpose('d', 'b', 'c', 'a'))
self.assertVariableIdentical(w, w2.transpose('a', 'b', 'c', 'd'))
w3 = Variable(['b', 'c', 'd', 'a'], np.einsum('abcd->bcda', x))
self.assertVariableIdentical(w, w3.transpose('a', 'b', 'c', 'd'))
def test_transpose(self):
v = Variable(["time", "x"], self.d)
v2 = Variable(["x", "time"], self.d.T)
self.assertVariableIdentical(v, v2.transpose())
self.assertVariableIdentical(v.transpose(), v.T)
x = np.random.randn(2, 3, 4, 5)
w = Variable(["a", "b", "c", "d"], x)
w2 = Variable(["d", "b", "c", "a"], np.einsum("abcd->dbca", x))
self.assertEqual(w2.shape, (5, 3, 4, 2))
self.assertVariableIdentical(w2, w.transpose("d", "b", "c", "a"))
self.assertVariableIdentical(w, w2.transpose("a", "b", "c", "d"))
w3 = Variable(["b", "c", "d", "a"], np.einsum("abcd->bcda", x))
self.assertVariableIdentical(w, w3.transpose("a", "b", "c", "d"))
def test_concat(self):
x = np.arange(5)
y = np.ones(5)
v = self.cls(['a'], x)
w = self.cls(['a'], y)
self.assertVariableIdentical(Variable(['b', 'a'], np.array([x, y])),
Variable.concat([v, w], 'b'))
self.assertVariableIdentical(Variable(['b', 'a'], np.array([x, y])),
Variable.concat((v, w), 'b'))
self.assertVariableIdentical(Variable(['b', 'a'], np.array([x, y])),
Variable.concat((v, w), 'b', length=2))
with self.assertRaisesRegexp(ValueError, 'actual length'):
Variable.concat([v, w], 'b', length=1)
with self.assertRaisesRegexp(ValueError, 'actual length'):
Variable.concat([v, w, w], 'b', length=4)
with self.assertRaisesRegexp(ValueError, 'inconsistent dimensions'):
Variable.concat([v, Variable(['c'], y)], 'b')
# test concatenating along a dimension
v = Variable(['time', 'x'], np.random.random((10, 8)))
self.assertVariableIdentical(v, Variable.concat([v[:5], v[5:]], 'time'))
self.assertVariableIdentical(v, Variable.concat([v[:5], v[5], v[6:]], 'time'))
self.assertVariableIdentical(v, Variable.concat([v[0], v[1:]], 'time'))
# test dimension order
self.assertVariableIdentical(v, Variable.concat([v[:, :5], v[:, 5:]], 'x'))
self.assertVariableIdentical(v.transpose(),
Variable.concat([v[:, 0], v[:, 1:]], 'x'))
