def test__cut_block_by_epochs(self): epoch = Epoch([0.5, 10.0, 25.2] * pq.s, durations=[5.1, 4.8, 5.0] * pq.s, t_start=.1 * pq.s) epoch.annotate(epoch_type='a', pick='me') epoch.array_annotate(trial_id=[1, 2, 3]) epoch2 = Epoch([0.6, 9.5, 16.8, 34.1] * pq.s, durations=[4.5, 4.8, 5.0, 5.0] * pq.s, t_start=.1 * pq.s) epoch2.annotate(epoch_type='b') epoch2.array_annotate(trial_id=[1, 2, 3, 4]) event = Event(times=[0.5, 10.0, 25.2] * pq.s, t_start=.1 * pq.s) event.annotate(event_type='trial start') event.array_annotate(trial_id=[1, 2, 3]) anasig = AnalogSignal(np.arange(50.0) * pq.mV, t_start=.1 * pq.s, sampling_rate=1.0 * pq.Hz) st = SpikeTrain( np.arange(0.5, 50, 7) * pq.s, t_start=.1 * pq.s, t_stop=50.0 * pq.s, waveforms=np.array( [[[0., 1.], [0.1, 1.1]], [[2., 3.], [2.1, 3.1]], [[4., 5.], [4.1, 5.1]], [[6., 7.], [6.1, 7.1]], [[8., 9.], [8.1, 9.1]], [[12., 13.], [12.1, 13.1]], [[14., 15.], [14.1, 15.1]], [[16., 17.], [16.1, 17.1]]]) * pq.mV, array_annotations={'spikenum': np.arange(1, 9)}) seg = Segment() seg2 = Segment(name='NoCut') seg.epochs = [epoch, epoch2] seg.events = [event] seg.analogsignals = [anasig] seg.spiketrains = [st] block = Block() block.segments = [seg, seg2] block.create_many_to_one_relationship() # test without resetting the time cut_block_by_epochs(block, properties={'pick': 'me'}) assert_neo_object_is_compliant(block) self.assertEqual(len(block.segments), 3) for epoch_idx in range(len(epoch)): self.assertEqual(len(block.segments[epoch_idx].events), 1) self.assertEqual(len(block.segments[epoch_idx].spiketrains), 1) self.assertEqual(len(block.segments[epoch_idx].analogsignals), 1) if epoch_idx != 0: self.assertEqual(len(block.segments[epoch_idx].epochs), 0) else: self.assertEqual(len(block.segments[epoch_idx].epochs), 1) assert_same_attributes( block.segments[epoch_idx].spiketrains[0], st.time_slice(t_start=epoch.times[epoch_idx], t_stop=epoch.times[epoch_idx] + epoch.durations[epoch_idx])) assert_same_attributes( block.segments[epoch_idx].analogsignals[0], anasig.time_slice(t_start=epoch.times[epoch_idx], t_stop=epoch.times[epoch_idx] + epoch.durations[epoch_idx])) assert_same_attributes( block.segments[epoch_idx].events[0], event.time_slice(t_start=epoch.times[epoch_idx], t_stop=epoch.times[epoch_idx] + epoch.durations[epoch_idx])) assert_same_attributes( block.segments[0].epochs[0], epoch2.time_slice(t_start=epoch.times[0], t_stop=epoch.times[0] + epoch.durations[0])) seg = Segment() seg2 = Segment(name='NoCut') seg.epochs = [epoch, epoch2] seg.events = [event] seg.analogsignals = [anasig] seg.spiketrains = [st] block = Block() block.segments = [seg, seg2] block.create_many_to_one_relationship() # test with resetting the time cut_block_by_epochs(block, properties={'pick': 'me'}, reset_time=True) assert_neo_object_is_compliant(block) self.assertEqual(len(block.segments), 3) for epoch_idx in range(len(epoch)): self.assertEqual(len(block.segments[epoch_idx].events), 1) self.assertEqual(len(block.segments[epoch_idx].spiketrains), 1) self.assertEqual(len(block.segments[epoch_idx].analogsignals), 1) if epoch_idx != 0: self.assertEqual(len(block.segments[epoch_idx].epochs), 0) else: self.assertEqual(len(block.segments[epoch_idx].epochs), 1) assert_same_attributes( block.segments[epoch_idx].spiketrains[0], st.duplicate_with_new_data( st.times - epoch.times[epoch_idx], t_start=st.t_start - epoch.times[epoch_idx]).time_slice( t_start=0 * pq.s, t_stop=epoch.durations[epoch_idx])) anasig_target = anasig.copy() anasig_target.t_start = st.t_start - epoch.times[epoch_idx] anasig_target = anasig_target.time_slice( t_start=0 * pq.s, t_stop=epoch.durations[epoch_idx]) assert_same_attributes(block.segments[epoch_idx].analogsignals[0], anasig_target) assert_same_attributes( block.segments[epoch_idx].events[0], event.duplicate_with_new_data( event.times - epoch.times[epoch_idx], event.labels).time_slice( t_start=0 * pq.s, t_stop=epoch.durations[epoch_idx])) assert_same_attributes( block.segments[0].epochs[0], epoch2.duplicate_with_new_data( epoch2.times - epoch.times[0], epoch2.durations, epoch2.labels).time_slice(t_start=0 * pq.s, t_stop=epoch.durations[0]))