Exemple #1
0
    def test__get_events(self):
        starts_1 = Event(times=[0.5, 10.0, 25.2] * pq.s)
        starts_1.annotate(event_type='trial start', pick='me')
        starts_1.array_annotate(trial_id=[1, 2, 3])

        stops_1 = Event(times=[5.5, 14.9, 30.1] * pq.s)
        stops_1.annotate(event_type='trial stop')
        stops_1.array_annotate(trial_id=[1, 2, 3])

        proxy_event = EventProxy(rawio=self.reader,
                                 event_channel_index=0,
                                 block_index=0,
                                 seg_index=0)

        proxy_event.annotate(event_type='trial start')

        seg = Segment()
        seg.events = [starts_1, stops_1, proxy_event]

        # test getting multiple events including a proxy
        extracted_starts = get_events(seg, event_type='trial start')

        self.assertEqual(len(extracted_starts), 2)

        # make sure the event is loaded and a neo.Event object is returned
        self.assertTrue(isinstance(extracted_starts[0], Event))
        self.assertTrue(isinstance(extracted_starts[1], Event))
Exemple #2
0
    def test__get_events(self):
        starts_1 = Event(times=[0.5, 10.0, 25.2] * pq.s)
        starts_1.annotate(event_type='trial start', pick='me')
        starts_1.array_annotate(trial_id=[1, 2, 3])

        stops_1 = Event(times=[5.5, 14.9, 30.1] * pq.s)
        stops_1.annotate(event_type='trial stop')
        stops_1.array_annotate(trial_id=[1, 2, 3])

        starts_2 = Event(times=[33.2, 41.7, 52.4] * pq.s)
        starts_2.annotate(event_type='trial start')
        starts_2.array_annotate(trial_id=[4, 5, 6])

        stops_2 = Event(times=[37.6, 46.1, 57.0] * pq.s)
        stops_2.annotate(event_type='trial stop')
        stops_2.array_annotate(trial_id=[4, 5, 6])

        seg = Segment()
        seg2 = Segment()
        seg.events = [starts_1, stops_1]
        seg2.events = [starts_2, stops_2]

        block = Block()
        block.segments = [seg, seg2]

        # test getting one whole event via annotation
        extracted_starts1 = get_events(seg, event_type='trial start')
        extracted_starts1b = get_events(block, pick='me')

        self.assertEqual(len(extracted_starts1), 1)
        self.assertEqual(len(extracted_starts1b), 1)

        extracted_starts1 = extracted_starts1[0]
        extracted_starts1b = extracted_starts1b[0]

        assert_same_attributes(extracted_starts1, starts_1)
        assert_same_attributes(extracted_starts1b, starts_1)

        # test getting an empty list by searching for a non-existent property
        empty1 = get_events(seg, foo='bar')

        self.assertEqual(len(empty1), 0)

        # test getting an empty list by searching for a non-existent property value
        empty2 = get_events(seg, event_type='undefined')

        self.assertEqual(len(empty2), 0)

        # test getting only one event time of one event
        trial_2 = get_events(block, trial_id=2, event_type='trial start')

        self.assertEqual(len(trial_2), 1)

        trial_2 = trial_2[0]

        self.assertEqual(starts_1.name, trial_2.name)
        self.assertEqual(starts_1.description, trial_2.description)
        self.assertEqual(starts_1.file_origin, trial_2.file_origin)
        self.assertEqual(starts_1.annotations['event_type'],
                         trial_2.annotations['event_type'])
        assert_arrays_equal(trial_2.array_annotations['trial_id'],
                            np.array([2]))
        self.assertIsInstance(trial_2.array_annotations, ArrayDict)

        # test getting only one event time of more than one event
        trial_2b = get_events(block, trial_id=2)

        self.assertEqual(len(trial_2b), 2)

        start_idx = np.where(
            np.array([ev.annotations['event_type']
                      for ev in trial_2b]) == 'trial start')[0][0]

        trial_2b_start = trial_2b[start_idx]
        trial_2b_stop = trial_2b[start_idx - 1]

        assert_same_attributes(trial_2b_start, trial_2)

        self.assertEqual(stops_1.name, trial_2b_stop.name)
        self.assertEqual(stops_1.description, trial_2b_stop.description)
        self.assertEqual(stops_1.file_origin, trial_2b_stop.file_origin)
        self.assertEqual(stops_1.annotations['event_type'],
                         trial_2b_stop.annotations['event_type'])
        assert_arrays_equal(trial_2b_stop.array_annotations['trial_id'],
                            np.array([2]))
        self.assertIsInstance(trial_2b_stop.array_annotations, ArrayDict)

        # test getting more than one event time of one event
        trials_1_2 = get_events(block,
                                trial_id=[1, 2],
                                event_type='trial start')

        self.assertEqual(len(trials_1_2), 1)

        trials_1_2 = trials_1_2[0]

        self.assertEqual(starts_1.name, trials_1_2.name)
        self.assertEqual(starts_1.description, trials_1_2.description)
        self.assertEqual(starts_1.file_origin, trials_1_2.file_origin)
        self.assertEqual(starts_1.annotations['event_type'],
                         trials_1_2.annotations['event_type'])
        assert_arrays_equal(trials_1_2.array_annotations['trial_id'],
                            np.array([1, 2]))
        self.assertIsInstance(trials_1_2.array_annotations, ArrayDict)

        # test getting more than one event time of more than one event
        trials_1_2b = get_events(block, trial_id=[1, 2])

        self.assertEqual(len(trials_1_2b), 2)

        start_idx = np.where(
            np.array([ev.annotations['event_type']
                      for ev in trials_1_2b]) == 'trial start')[0][0]

        trials_1_2b_start = trials_1_2b[start_idx]
        trials_1_2b_stop = trials_1_2b[start_idx - 1]

        assert_same_attributes(trials_1_2b_start, trials_1_2)

        self.assertEqual(stops_1.name, trials_1_2b_stop.name)
        self.assertEqual(stops_1.description, trials_1_2b_stop.description)
        self.assertEqual(stops_1.file_origin, trials_1_2b_stop.file_origin)
        self.assertEqual(stops_1.annotations['event_type'],
                         trials_1_2b_stop.annotations['event_type'])
        assert_arrays_equal(trials_1_2b_stop.array_annotations['trial_id'],
                            np.array([1, 2]))
        self.assertIsInstance(trials_1_2b_stop.array_annotations, ArrayDict)
pow_wavelet = np.abs(sig_wavelet) ** 2
pow_normed = pow_wavelet / pow_wavelet.mean()

transformed_anasig = anasig.duplicate_with_new_data(pow_normed)
transformed_anasig.name = "normed_wavelet_transformed_lfp"
del transformed_anasig.annotations['nix_name']
for key, val in anasig.array_annotations.items():
    if len(val):
        transformed_anasig.annotations[key] = val[channel_idx]
anasig.segment.analogsignals.append(transformed_anasig)
seg.create_relationship()

trigger_event = 'target_02_on'
trigger_events = utils.get_events(container=seg,
                                name='DecodedEvents',
                                labels=trigger_event,
                                in_successful_trial=True,
                                # trial_protocol=trial_protocol
                                )[0]

epoch = utils.add_epoch(
    seg,
    event1=trigger_events, event2=None,
    pre=pre, post=post,
    attach_result=False,
    name='analysis_epochs')

target_02_on_segs = utils.cut_segment_by_epoch(
    seg=seg,
    epoch=epoch,
    reset_time=True)