def test_ntimescales_1():
# see issue #603
trajs = [np.random.randint(0, 30, size=500) for _ in range(5)]
pccap = PCCAPlus(n_macrostates=11).fit(trajs)
lumped_trajs = pccap.transform(trajs)
assert len(np.unique(lumped_trajs)) == 11
def test_ntimescales_1():
# see issue #603
trajs = [np.random.randint(0, 30, size=500) for _ in range(5)]
pccap = PCCAPlus(n_macrostates=11).fit(trajs)
lumped_trajs = pccap.transform(trajs)
assert len(np.unique(lumped_trajs)) == 11
def test_ntimescales_1():
# see issue #603
trajs = [random.randint(0, 100, size=500) for _ in range(15)]
pccap = PCCAPlus(n_macrostates=11).fit(trajs)
lumped_trajs = pccap.transform(trajs)
observed_macros = len(np.unique(lumped_trajs))
assert observed_macros == 11, observed_macros
def test_ntimescales_1():
# see issue #603
trajs = [random.randint(0, 100, size=500) for _ in range(15)]
pccap = PCCAPlus(n_macrostates=11).fit(trajs)
lumped_trajs = pccap.transform(trajs)
observed_macros = len(np.unique(lumped_trajs))
assert observed_macros == 11, observed_macros
