def test_reduce_time_filter_multi_channel_attached_method(self):
new_times = [-0.25, 0.25]
tb = generate_timebase(t0=-0.5, n_samples=1.e2, sample_freq=1.e2)
tsd = TimeseriesData(timebase=tb,
signal=Signal(np.resize(np.arange(5*len(tb)),(5,len(tb)))),
channels=get_n_channels(5))
new_time_args = np.searchsorted(tb, new_times)
timebase_test = tsd.timebase[new_time_args[0]:new_time_args[1]].copy()
signal_test = tsd.signal[:,new_time_args[0]:new_time_args[1]].copy()
reduced_tsd = tsd.reduce_time(new_times)
self.assertTrue(isinstance(reduced_tsd, TimeseriesData))
assert_array_almost_equal(reduced_tsd.timebase, timebase_test)
assert_array_almost_equal(reduced_tsd.signal, signal_test)
