def test_translate_tpow_negative(self):
dmd = DMDBase(opt=-1)
dmd._snapshots = sample_data
assert dmd._translate_eigs_exponent(10) == 10 - (sample_data.shape[1] -
1)
assert dmd._translate_eigs_exponent(0) == 1 - sample_data.shape[1]
def test_translate_tpow_vector(self):
dmd = DMDBase(opt=-1)
dmd._snapshots = sample_data
tpow = np.ndarray([0, 1, 2, 3, 5, 6, 7, 11])
for idx, x in enumerate(dmd._translate_eigs_exponent(tpow)):
assert x == dmd._translate_eigs_exponent(tpow[idx])
def test_translate_tpow_positive(self):
dmd = DMDBase(opt=4)
assert dmd._translate_eigs_exponent(10) == 6
assert dmd._translate_eigs_exponent(0) == -4
