def test_t_stop_is_max_of_all_trains(self):
a = arange_spikes(3.0 * pq.s, 5.0 * pq.s)
b = arange_spikes(1.0 * pq.s, 6.0 * pq.s)
expected = 6.0 * pq.s
actual = tools.concatenate_spike_trains((a, b)).t_stop
self.assertAlmostEqual(expected, actual)
def test_t_stop_is_max_of_all_trains(self):
a = arange_spikes(3.0 * pq.s, 5.0 * pq.s)
b = arange_spikes(1.0 * pq.s, 6.0 * pq.s)
expected = 6.0 * pq.s
actual = tools.concatenate_spike_trains((a, b)).t_stop
self.assertAlmostEqual(expected, actual)
def test_concatenates_spike_trains(self):
a = arange_spikes(3.0 * pq.s)
b = arange_spikes(2.0 * pq.s, 5.0 * pq.s)
expected = arange_spikes(5.0 * pq.s)
actual = tools.concatenate_spike_trains((a, b))
assert_array_almost_equal(expected, actual)
def test_concatenates_spike_trains(self):
a = arange_spikes(3.0 * pq.s)
b = arange_spikes(2.0 * pq.s, 5.0 * pq.s)
expected = arange_spikes(5.0 * pq.s)
actual = tools.concatenate_spike_trains((a, b))
assert_array_almost_equal(expected, actual)