def test_uneven_n():
with tempdir():
# This doesn't work with py2.6
with dataset('ds1/', 'w', 'dir-npy') as ds1, \
dataset('ds2/', 'w', 'dir-npy') as ds2:
ds1[0] = np.random.randn(10, 2)
ds1[1] = np.random.randn(5, 2)
ds2[0] = np.random.randn(10, 4)
# Uneven number of trajs!
fu = FeatureUnion(normalize=False)
with assert_raises(ValueError):
fu.fit((ds1, ds2))
def test_uneven_n():
with tempdir():
# This doesn't work with py2.6
with dataset('ds1/', 'w', 'dir-npy') as ds1, \
dataset('ds2/', 'w', 'dir-npy') as ds2:
ds1[0] = np.random.randn(10, 2)
ds1[1] = np.random.randn(5, 2)
ds2[0] = np.random.randn(10, 4)
# Uneven number of trajs!
fu = FeatureUnion(normalize=False)
with assert_raises(ValueError):
fu.fit((ds1, ds2))
