From fbf6bb3accc48c47ac9d44eccf5575fd25aea099 Mon Sep 17 00:00:00 2001 From: Alex Date: Tue, 11 May 2021 16:54:42 -0700 Subject: [PATCH] reworked find events function again --- docs/.buildinfo | 2 +- .../auto_examples_python.zip | Bin 20290 -> 20308 bytes .../plot_recover_events.py | 6 +- .../plot_recover_events.ipynb | 4 +- .../auto_examples_jupyter.zip | Bin 27682 -> 27700 bytes docs/_images/event_diffs.png | Bin 47095 -> 34759 bytes docs/_images/excluded_events.png | Bin 66039 -> 64908 bytes .../sphx_glr_plot_recover_events_002.png | Bin 34825 -> 30291 bytes .../sphx_glr_plot_recover_events_003.png | Bin 20147 -> 18736 bytes .../sphx_glr_plot_recover_events_004.png | Bin 20284 -> 18644 bytes .../sphx_glr_plot_recover_events_005.png | Bin 21632 -> 20092 bytes .../sphx_glr_plot_recover_events_006.png | Bin 39449 -> 34202 bytes .../sphx_glr_plot_recover_events_007.png | Bin 20124 -> 18690 bytes .../sphx_glr_plot_recover_events_008.png | Bin 20204 -> 18681 bytes 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Source code for parse_pd

     return ch_data, ch_names
 
 
-def _check_if_pd_event(pd_diff, i, max_len_i, zscore, max_flip_i, baseline_i):
+def _check_if_pd_event(pd_diff, i, max_len_i, zscore, max_flip_i,
+                       baseline_std):
     """Take one stretch of data and determine if there is an event there.
 
-    Move in chunks twice as long as your longest photodiode signal
-    with the first 0.25 as baseline to test whether the signal goes
-    above/below baseline and back below/above.
-    The event onset must be of maximum length `max_flip_i`.
+    Use almost all events for on/off due to noise in photodiode causing
+    the last event to hop under the threshold and back.
     """
-    b = pd_diff[i - baseline_i:i]
-    # use twice the length so event can be centered
-    s = (pd_diff[i:i + 2 * max_len_i] - np.median(b)) / np.std(b)
+    s = pd_diff[i:i + max_len_i].copy()
+    s -= np.median(s)
+    s /= baseline_std
     binned_s = np.digitize(s, [-np.inf, -zscore, zscore, np.inf]) - 2
     for direction, binary_s in {'up': binned_s, 'down': -binned_s}.items():
-        onset = np.where(binary_s[:max_len_i] == 1)[0]
+        onset = np.where(binary_s == 1)[0]
         # must be flip on but can't flip back and forth
-        if onset.size > 0 and onset.size < max_flip_i and \
-                all(binary_s[onset[0]:onset[-1]] == 1):
+        if onset.size > 0 and onset.size < max_flip_i:
             e = onset[0]
-            if all(binary_s[:e] == 0):  # must start off:
+            almost_all_on = sum(binary_s[onset[0]:onset[-1]]) >= onset.size - 2
+            if all(binary_s[:e] == 0) and almost_all_on:  # must start off
                 # must have an offset and no more events
                 offset = np.where(binary_s[e:] == -1)[0]
-                if offset.size > 0 and offset.size < max_flip_i and \
-                        all(binary_s[e + offset[0]:e + offset[-1]] == -1):
-                    oe = offset[0]
-                    eo = all(binary_s[e + oe + max_flip_i:e + max_len_i] == 0)
-                    if oe <= max_len_i and eo:  # must end off
-                        return direction, i + e + 1, i + e + oe + 2
+                if offset.size > 0 and offset.size < max_flip_i:
+                    o = offset[0]
+                    almost_all_off = -sum(binary_s[e + o:e + offset[-1]]) \
+                        >= offset.size - 2
+                    almost_all_zero = \
+                        sum(abs(binary_s[e + o + max_flip_i:])) <= 1
+                    if almost_all_zero and almost_all_off:
+                        return direction, i + e + 1, i + e + o + 2
     return None, None, None
 
 
-def _find_pd_candidates(pd, max_len, baseline, zscore, max_flip_i, sfreq,
-                        verbose=True):
+def _find_pd_candidates(pd, max_len, baseline, zscore,
+                        max_flip_i, sfreq, verbose=True):
     """Find all points in the signal that look like a square wave."""
     if verbose:
         print('Finding photodiode events')
     max_len_i = np.round(sfreq * max_len).astype(int)
     baseline_i = np.round(max_len_i * baseline).astype(int)
-    pd_candidates = dict(up=set(), down=set())
+    # zscore photodiode based on baseline values
     pd_diff = np.diff(pd)
-    for i in tqdm(range(baseline_i, len(pd_diff) - max_len_i - baseline_i,
-                        baseline_i // 2)):
-        direction, onset, _ = _check_if_pd_event(
-            pd_diff, i, max_len_i, zscore, max_flip_i, baseline_i)
+    pd_diff -= np.median(pd_diff)
+    median_std = np.median([np.std(pd_diff[i - baseline_i:i]) for i in
+                            range(baseline_i, len(pd_diff) - baseline_i,
+                                  baseline_i)])
+    # find indices to check based on being the first above zscore
+    check_i = set(np.where(abs(pd_diff) / median_std > zscore)[0])
+    check_remove = set()
+    for i in check_i:
+        if i + 1 in check_i:
+            check_remove.add(i + 1)
+    check_i = check_i.difference(check_remove)
+    # check for clean onset and offset
+    pd_candidates = dict(up=list(), down=list(),
+                         up_off=list(), down_off=list())
+    for i in tqdm(check_i):
+        direction, onset, offset = _check_if_pd_event(
+            pd_diff, i, max_len_i, zscore, max_flip_i, median_std)
         # no rounding errors
-        if onset is not None and all(
-            [onset + j not in this_pd_cs for j in
-             range(-max_flip_i, max_flip_i + 1)
-             for this_pd_cs in pd_candidates.values()]):
-            pd_candidates[direction].add(onset)
-    pd_direction = 'down' if \
+        if onset is not None:
+            pd_candidates[direction].append(onset)
+            pd_candidates[direction + '_off'].append(offset)
+    this_dir = 'down' if \
         len(pd_candidates['down']) > len(pd_candidates['up']) else 'up'
-    pd_candidates = pd_candidates[pd_direction]
-    if len(pd_candidates) == 0:
+    pd_candidates = pd_candidates[this_dir], pd_candidates[this_dir + '_off']
+    if len(pd_candidates[0]) == 0:
         raise ValueError('No photodiode candidates found, please raise an '
                          'issue with code to reproduce the error on GitHub')
     if verbose:
-        print(f'{len(pd_candidates)} {pd_direction}-deflection photodiode '
+        print(f'{len(pd_candidates[0])} {this_dir}-deflection photodiode '
               'candidate events found')
-    return np.array(sorted(pd_candidates))
+    return (np.array(sorted(pd_candidates[0])),
+            np.array(sorted(pd_candidates[1])))
 
 
 def _get_audio_zscore(audio, fs):
@@ -420,17 +433,29 @@ 

Source code for parse_pd

     return beh_events, events
 
 
-def _plot_trial_errors(errors, exclude_shift, sfreq):
+def _plot_trial_errors(beh_events, alignment, events,
+                       errors, exclude_shift, sfreq):
     """Plot the synchronization error on every trial."""
     import matplotlib.pyplot as plt
-    fig, ax = plt.subplots()
-    ax.plot(errors / sfreq * 1000)
+    fig, (ax, ax2) = plt.subplots(1, 2, figsize=(8, 4))
+    beh_events_s = (beh_events + alignment) / sfreq
+    beh_d = np.diff(beh_events_s).mean()
+    ax.scatter(beh_events_s, np.repeat(-1, beh_events.size))
+    ax.scatter(events / sfreq, np.repeat(1, events.size))
+    ax.set_xlim([beh_events_s.min() - beh_d, beh_events_s[:10].max() + beh_d])
+    ax.set_ylim([-5, 5])
+    ax.set_xlabel('Time (s)')
+    ax.set_yticks([-1, 1])
+    ax.set_yticklabels(['Beh', 'Sync'])
+    ax.set_title('Alignment (First 10)')
+    ax2.plot(errors / sfreq * 1000)
     exclude_shift_a = np.array([exclude_shift, exclude_shift]) * 1000
-    ax.plot([0, errors.size], exclude_shift_a, color='r')
-    ax.plot([0, errors.size], -exclude_shift_a, color='r')
-    ax.set_ylabel('Difference (ms)')
-    ax.set_xlabel('Trial')
-    ax.set_title('Synchronization Events Compared to Behavior Events')
+    ax2.plot([0, errors.size], exclude_shift_a, color='r')
+    ax2.plot([0, errors.size], -exclude_shift_a, color='r')
+    ax2.set_ylabel('Difference (ms)')
+    ax2.set_xlabel('Trial')
+    ax2.set_title('Event Differences')
+    fig.tight_layout()
     fig.show()
 
 
@@ -484,7 +509,8 @@ 

Source code for parse_pd

                   shift, min(errors), np.quantile(errors, 0.25),
                   np.median(errors), np.quantile(errors, 0.75),
                   max(errors), n_missed_events))
-        _plot_trial_errors(best_errors, exclude_shift, sfreq)
+        _plot_trial_errors(beh_events, best_alignment, best_events,
+                           best_errors, exclude_shift, sfreq)
     return best_beh_events_adjusted, best_alignment, best_events
 
 
@@ -501,7 +527,7 @@ 

Source code for parse_pd

                                beh_e_i - exclude_shift_i])
     section = (section - np.median(baseline)) / baseline.std()
     events = np.where(np.abs(section) > zscore)[0] + 1
-    text = f'{idx} none found to recover'
+    text = f'{idx}\nnone found to recover'
     if events.size == 0 or events.size > 3:  # only can recover 3
         return np.nan, text
     for sync_e in events + beh_e_i - exclude_shift_i:
@@ -516,9 +542,9 @@ 

Source code for parse_pd

         ax.set_ylabel('voltage')
         fig.show()
         if input('Recover event? (y/N) ').lower() == 'y':
-            return sync_e, f'{idx} recovered (not excluded)'
+            return sync_e, f'{idx}\nrecovered (not excluded)'
         else:
-            text = f'{idx} recovered but discarded'
+            text = f'{idx}\nrecovered but discarded'
             event = np.nan
     return event, text
 
@@ -541,7 +567,8 @@ 

Source code for parse_pd

         axes = axes.flatten()
     for ax in axes[n_events_ex:]:
         ax.axis('off')  # turn off all unused axes
-    ymax = np.median([abs(sect[2]).max() for sect in section_data]) * 1.5
+    ymax = np.quantile([abs(sect[2]).max() for sect in section_data
+                        if sect[2].size > 0], 0.25) * 1.1
     for i, (event, title, section) in enumerate(section_data):
         axes[i].plot(np.linspace(-1, 1, section.size), section)
         axes[i].plot([0, 0], [-ymax, ymax], color='r')
@@ -551,9 +578,9 @@ 

Source code for parse_pd

             axes[i].set_ylabel('voltage')
         axes[i].set_yticks([])
         if i // ncols == nrows - 1:
-            axes[i].set_xticks(np.linspace(-1, 1, 5))
+            axes[i].set_xticks(np.linspace(-1, 1, 3))
             axes[i].set_xticklabels(
-                np.round(np.linspace(-max_len, max_len, 5), 2))
+                np.round(np.linspace(-2 * max_len, 2 * max_len, 3), 2))
             axes[i].set_xlabel('time (s)')
         else:
             axes[i].set_xticks([])
@@ -577,13 +604,18 @@ 

Source code for parse_pd

                                       candidates < (sync_e + max_len_i)).sum()
             if n_events > 1:
                 events[i] = np.nan
+                text = (f'{i}\n{n_events} sync events found')
+                if recover:
+                    events[i], text = _recover_event(
+                        i, ch_data, beh_e + alignment, exclude_shift, zscore,
+                        max_len, sfreq)
                 if verbose:
-                    text = (f'{i} {n_events} sync events found')
                     print(text.replace('\n', ' '))
                     event = np.round(beh_e + alignment).astype(int)
                     section_data.append(
-                        (beh_e, text, ch_data[event - max_len_i:
-                                              event + max_len_i]))
+                        (beh_e, text, ch_data[event - 2 * max_len_i:
+                                              event + 2 * max_len_i]))
+
         elif not np.isnan(beh_e):
             if recover:
                 events[i], text = _recover_event(
@@ -592,14 +624,14 @@ 

Source code for parse_pd

             else:
                 events[i] = np.nan
                 # if off by a less than max_len, report samples
-                text = f'{i} off by {int(error / sfreq * 1000)} ms' \
-                    if abs(error) < max_len_i else 'none found'
+                text = f'{i}\noff by {int(error / sfreq * 1000)} ms' \
+                    if abs(error) < max_len_i else f'{i}\nnone found'
             if verbose:
-                print(text)
+                print(text.replace('\n', ' '))
                 event = np.round(beh_e + alignment).astype(int)
                 section_data.append(
-                    (beh_e, text, ch_data[event - max_len_i:
-                                          event + max_len_i]))
+                    (beh_e, text, ch_data[event - 2 * max_len_i:
+                                          event + 2 * max_len_i]))
     if verbose:
         _plot_excluded_events(section_data, max_len)
     return events
@@ -912,9 +944,6 @@ 

Source code for parse_pd

         found.
 
     """
-    if resync < exclude_shift:
-        raise ValueError(f'`exclude_shift` ({exclude_shift}) cannot be longer '
-                         f'than `resync` ({resync})')
     if baseline <= 0 or baseline > 1:
         raise ValueError(f'baseline must be between 0 and 1, got {baseline}')
     # load raw data file with the photodiode data
@@ -926,7 +955,7 @@ 

Source code for parse_pd

     pd, pd_ch_names = _get_data(raw, pd_ch_names)
     candidates = _find_pd_candidates(
         pd=pd, max_len=max_len, baseline=baseline, zscore=zscore,
-        max_flip_i=max_flip_i, sfreq=raw.info['sfreq'], verbose=verbose)
+        max_flip_i=max_flip_i, sfreq=raw.info['sfreq'], verbose=verbose)[0]
     # load behavioral data with which to validate event timing
     if beh is None:
         if verbose:
@@ -1100,23 +1129,15 @@ 

Source code for parse_pd

     """
     raw = _read_raw(raw, verbose=verbose)
     annot, pd_ch_names, beh = _load_data(raw)
+    max_len_i = np.round(raw.info['sfreq'] * max_len).astype(int)
     pd = _get_channel_data(raw, pd_ch_names)
-    pd_diff = np.diff(pd)
-    sfreq = raw.info['sfreq']
-    max_len_i = np.round(sfreq * max_len).astype(int)
-    baseline_i = np.round(max_len_i * baseline).astype(int)
     events = {samp: i for i, samp in enumerate(beh['pd_parser_sample'])
               if samp != 'n/a'}
-    off_events = {'up': dict(), 'down': dict()}
-    for i in tqdm(range(baseline_i, len(pd_diff) - max_len_i - baseline_i,
-                        baseline_i // 2)):
-        direction, onset, offset = _check_if_pd_event(
-            pd_diff, i, max_len_i, zscore, max_flip_i, baseline_i)
-        if onset in events:
-            off_events[direction][events[onset]] = offset
-    pd_direction = 'down' if \
-        len(off_events['down']) > len(off_events['up']) else 'up'
-    off_events = off_events[pd_direction]
+    on_candidates, off_candidates = _find_pd_candidates(
+        pd=pd, max_len=max_len, baseline=baseline, zscore=zscore,
+        max_flip_i=max_flip_i, sfreq=raw.info['sfreq'], verbose=verbose)
+    off_events = {events[onset]: offset for onset, offset in
+                  zip(on_candidates, off_candidates) if onset in events}
     recovered = [event_idx for event_idx in events.values()
                  if event_idx not in off_events.keys()]
     if recovered:  # some events found manually, recover
@@ -1125,7 +1146,7 @@ 

Source code for parse_pd

             beh_e = \
                 beh['pd_parser_sample'][idx] + max_flip_i + max_len_i // 2
             event, text = _recover_event(idx, pd, beh_e, max_len / 2,
-                                         zscore, max_len, sfreq)
+                                         zscore, max_len, raw.info['sfreq'])
             if not np.isnan(event):
                 off_events[idx] = event
             if verbose:
diff --git a/docs/_sources/auto_examples/plot_recover_events.rst.txt b/docs/_sources/auto_examples/plot_recover_events.rst.txt
index 0420dd9..155aa04 100644
--- a/docs/_sources/auto_examples/plot_recover_events.rst.txt
+++ b/docs/_sources/auto_examples/plot_recover_events.rst.txt
@@ -138,8 +138,8 @@ electrophysiology data format).
     Creating RawArray with float64 data, n_channels=3, n_times=2039600
         Range : 0 ... 2039599 =      0.000 ...  2039.599 secs
     Ready.
-    Writing /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_09qh_91m/sub-1_task-mytask_raw.fif
-    Closing /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_09qh_91m/sub-1_task-mytask_raw.fif
+    Writing /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_9q7hw3p3/sub-1_task-mytask_raw.fif
+    Closing /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_9q7hw3p3/sub-1_task-mytask_raw.fif
     [done]
 
 
@@ -162,7 +162,7 @@ your own input depending on whether you want to keep the events or not.
 
 
     with mock.patch('builtins.input', return_value='y'):
-        pd_parser.parse_pd(fname, pd_event_name='Stim On', beh=beh,
+        pd_parser.parse_pd(fname, pd_event_name='Stim On', beh=beh, max_len=1.5,
                            pd_ch_names=['pd'], beh_key='time', recover=True)
 
 
@@ -174,7 +174,7 @@ your own input depending on whether you want to keep the events or not.
     *
 
       .. image:: /auto_examples/images/sphx_glr_plot_recover_events_002.png
-          :alt: Synchronization Events Compared to Behavior Events
+          :alt: Alignment (First 10), Event Differences
           :class: sphx-glr-multi-img
 
     *
@@ -208,18 +208,18 @@ your own input depending on whether you want to keep the events or not.
 
  .. code-block:: none
 
-    Reading in /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_09qh_91m/sub-1_task-mytask_raw.fif
-    Opening raw data file /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_09qh_91m/sub-1_task-mytask_raw.fif...
+    Reading in /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_9q7hw3p3/sub-1_task-mytask_raw.fif
+    Opening raw data file /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_9q7hw3p3/sub-1_task-mytask_raw.fif...
     Isotrak not found
         Range : 0 ... 2039599 =      0.000 ...  2039.599 secs
     Ready.
     Reading 0 ... 2039599  =      0.000 ...  2039.599 secs...
     Finding photodiode events
-
      0%|          | 0/16305 [00:00
     
     
-    API Documentation — pd-parser v0.5 documentation
+    API Documentation — pd-parser v0.6 documentation
     
     
     
@@ -40,7 +40,7 @@
           
         
         
-          pd-parser v0.5
+          pd-parser v0.6
         
       
diff --git a/docs/auto_examples/index.html b/docs/auto_examples/index.html index 462b06d..7c4a2aa 100644 --- a/docs/auto_examples/index.html +++ b/docs/auto_examples/index.html @@ -4,7 +4,7 @@ - Examples Gallery — pd-parser v0.5 documentation + Examples Gallery — pd-parser v0.6 documentation @@ -40,7 +40,7 @@ - pd-parser v0.5 + pd-parser v0.6
diff --git a/docs/auto_examples/plot_find_audio_events.html b/docs/auto_examples/plot_find_audio_events.html index dfda45d..faec8f1 100644 --- a/docs/auto_examples/plot_find_audio_events.html +++ b/docs/auto_examples/plot_find_audio_events.html @@ -4,7 +4,7 @@ - Use Audio to Align Video Data — pd-parser v0.5 documentation + Use Audio to Align Video Data — pd-parser v0.6 documentation @@ -40,7 +40,7 @@ - pd-parser v0.5 + pd-parser v0.6
diff --git a/docs/auto_examples/plot_find_pd_events.html b/docs/auto_examples/plot_find_pd_events.html index 76f0409..ace8837 100644 --- a/docs/auto_examples/plot_find_pd_events.html +++ b/docs/auto_examples/plot_find_pd_events.html @@ -4,7 +4,7 @@ - Find Photodiode Events — pd-parser v0.5 documentation + Find Photodiode Events — pd-parser v0.6 documentation @@ -40,7 +40,7 @@ - pd-parser v0.5 + pd-parser v0.6
diff --git a/docs/auto_examples/plot_find_pd_on_and_off.html b/docs/auto_examples/plot_find_pd_on_and_off.html index 6283406..52ea485 100644 --- a/docs/auto_examples/plot_find_pd_on_and_off.html +++ b/docs/auto_examples/plot_find_pd_on_and_off.html @@ -4,7 +4,7 @@ - Find Photodiode On and Off Events — pd-parser v0.5 documentation + Find Photodiode On and Off Events — pd-parser v0.6 documentation @@ -40,7 +40,7 @@ - pd-parser v0.5 + pd-parser v0.6
diff --git a/docs/auto_examples/plot_recover_events.html b/docs/auto_examples/plot_recover_events.html index e7540dd..891ce4d 100644 --- a/docs/auto_examples/plot_recover_events.html +++ b/docs/auto_examples/plot_recover_events.html @@ -4,7 +4,7 @@ - Manually Recover Events Not Found by the Algorithm — pd-parser v0.5 documentation + Manually Recover Events Not Found by the Algorithm — pd-parser v0.6 documentation @@ -40,7 +40,7 @@ - pd-parser v0.5 + pd-parser v0.6
@@ -189,8 +189,8 @@ Creating RawArray with float64 data, n_channels=3, n_times=2039600 Range : 0 ... 2039599 = 0.000 ... 2039.599 secs Ready. -Writing /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_09qh_91m/sub-1_task-mytask_raw.fif -Closing /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_09qh_91m/sub-1_task-mytask_raw.fif +Writing /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_9q7hw3p3/sub-1_task-mytask_raw.fif +Closing /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_9q7hw3p3/sub-1_task-mytask_raw.fif [done]
@@ -201,12 +201,12 @@ you want to delete that line and unindent the next line, and then provide your own input depending on whether you want to keep the events or not.

with mock.patch('builtins.input', return_value='y'):
-    pd_parser.parse_pd(fname, pd_event_name='Stim On', beh=beh,
+    pd_parser.parse_pd(fname, pd_event_name='Stim On', beh=beh, max_len=1.5,
                        pd_ch_names=['pd'], beh_key='time', recover=True)
 
    -
  • Synchronization Events Compared to Behavior Events +
  • Alignment (First 10), Event Differences
  • Corrupted Event 8
  • @@ -218,209 +218,184 @@

Out:

-
Reading in /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_09qh_91m/sub-1_task-mytask_raw.fif
-Opening raw data file /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_09qh_91m/sub-1_task-mytask_raw.fif...
+
Reading in /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_9q7hw3p3/sub-1_task-mytask_raw.fif
+Opening raw data file /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_9q7hw3p3/sub-1_task-mytask_raw.fif...
 Isotrak not found
     Range : 0 ... 2039599 =      0.000 ...  2039.599 secs
 Ready.
 Reading 0 ... 2039599  =      0.000 ...  2039.599 secs...
 Finding photodiode events
 
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- 73%|#######2  | 11843/16305 [00:02<00:00, 4532.41it/s]
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- 81%|########1 | 13245/16305 [00:03<00:00, 4534.98it/s]
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-297 up-deflection photodiode candidate events found
+  0%|          | 0/606 [00:00<?, ?it/s]
+ 49%|####8     | 296/606 [00:00<00:00, 2944.92it/s]
+100%|##########| 606/606 [00:00<00:00, 3227.61it/s]
+301 up-deflection photodiode candidate events found
 Checking best alignments
 
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- 39%|###8      | 116/300 [00:07<00:11, 16.05it/s]
- 39%|###9      | 118/300 [00:07<00:11, 15.93it/s]
- 40%|####      | 120/300 [00:07<00:11, 16.25it/s]
- 41%|####      | 122/300 [00:07<00:11, 15.70it/s]
- 41%|####1     | 124/300 [00:07<00:10, 16.09it/s]
- 42%|####2     | 126/300 [00:08<00:12, 13.74it/s]
- 43%|####2     | 128/300 [00:08<00:16, 10.62it/s]
- 43%|####3     | 130/300 [00:08<00:15, 11.02it/s]
- 44%|####4     | 132/300 [00:08<00:14, 11.89it/s]
- 45%|####4     | 134/300 [00:08<00:13, 12.47it/s]
- 45%|####5     | 136/300 [00:08<00:12, 13.41it/s]
- 46%|####6     | 138/300 [00:09<00:11, 13.53it/s]
- 47%|####6     | 140/300 [00:09<00:20,  7.78it/s]
- 47%|####7     | 142/300 [00:09<00:18,  8.33it/s]
- 48%|####8     | 144/300 [00:10<00:18,  8.28it/s]
- 48%|####8     | 145/300 [00:10<00:21,  7.11it/s]
- 49%|####9     | 147/300 [00:10<00:19,  7.70it/s]
- 49%|####9     | 148/300 [00:10<00:20,  7.24it/s]
- 50%|#####     | 150/300 [00:10<00:18,  8.33it/s]
- 51%|#####     | 152/300 [00:10<00:15,  9.79it/s]
- 51%|#####1    | 154/300 [00:10<00:12, 11.27it/s]
- 52%|#####2    | 156/300 [00:11<00:12, 11.34it/s]
- 53%|#####2    | 158/300 [00:11<00:11, 12.49it/s]
- 53%|#####3    | 160/300 [00:11<00:10, 13.43it/s]
- 54%|#####4    | 162/300 [00:11<00:09, 14.32it/s]
- 55%|#####4    | 164/300 [00:11<00:09, 14.28it/s]
- 55%|#####5    | 166/300 [00:11<00:08, 14.93it/s]
- 56%|#####6    | 168/300 [00:11<00:08, 15.20it/s]
- 57%|#####6    | 170/300 [00:12<00:08, 15.36it/s]
- 57%|#####7    | 172/300 [00:12<00:08, 15.21it/s]
- 58%|#####8    | 174/300 [00:12<00:07, 15.77it/s]
- 59%|#####8    | 176/300 [00:12<00:07, 15.83it/s]
- 59%|#####9    | 178/300 [00:12<00:07, 16.00it/s]
- 60%|######    | 180/300 [00:12<00:08, 14.97it/s]
- 61%|######    | 182/300 [00:12<00:07, 15.13it/s]
- 61%|######1   | 184/300 [00:12<00:07, 15.37it/s]
- 62%|######2   | 186/300 [00:13<00:07, 15.11it/s]
- 63%|######2   | 188/300 [00:13<00:07, 15.40it/s]
- 63%|######3   | 190/300 [00:13<00:07, 15.52it/s]
- 64%|######4   | 192/300 [00:13<00:06, 15.75it/s]
- 65%|######4   | 194/300 [00:13<00:07, 14.64it/s]
- 65%|######5   | 196/300 [00:13<00:06, 14.96it/s]
- 66%|######6   | 198/300 [00:13<00:06, 15.52it/s]
- 67%|######6   | 200/300 [00:13<00:06, 15.27it/s]
- 67%|######7   | 202/300 [00:14<00:07, 13.28it/s]
- 68%|######8   | 204/300 [00:14<00:07, 12.61it/s]
- 69%|######8   | 206/300 [00:14<00:06, 13.58it/s]
- 69%|######9   | 208/300 [00:14<00:07, 13.12it/s]
- 70%|#######   | 210/300 [00:14<00:06, 13.55it/s]
- 71%|#######   | 212/300 [00:14<00:06, 13.89it/s]
- 71%|#######1  | 214/300 [00:15<00:07, 11.41it/s]
- 72%|#######2  | 216/300 [00:15<00:06, 12.80it/s]
- 73%|#######2  | 218/300 [00:15<00:05, 14.07it/s]
- 73%|#######3  | 220/300 [00:15<00:05, 15.21it/s]
- 74%|#######4  | 222/300 [00:15<00:05, 15.45it/s]
- 75%|#######4  | 224/300 [00:15<00:04, 16.17it/s]
- 75%|#######5  | 226/300 [00:15<00:04, 16.74it/s]
- 76%|#######6  | 228/300 [00:15<00:04, 16.99it/s]
- 77%|#######6  | 230/300 [00:16<00:04, 16.47it/s]
- 77%|#######7  | 232/300 [00:16<00:04, 15.84it/s]
- 78%|#######8  | 234/300 [00:16<00:04, 15.58it/s]
- 79%|#######8  | 236/300 [00:16<00:04, 14.81it/s]
- 79%|#######9  | 238/300 [00:16<00:04, 15.01it/s]
- 80%|########  | 240/300 [00:16<00:03, 15.98it/s]
- 81%|########  | 242/300 [00:16<00:03, 16.62it/s]
- 81%|########1 | 244/300 [00:16<00:03, 17.10it/s]
- 82%|########2 | 246/300 [00:17<00:03, 15.60it/s]
- 83%|########2 | 248/300 [00:17<00:03, 15.94it/s]
- 83%|########3 | 250/300 [00:17<00:03, 16.44it/s]
- 84%|########4 | 252/300 [00:17<00:02, 16.50it/s]
- 85%|########4 | 254/300 [00:17<00:02, 16.72it/s]
- 85%|########5 | 256/300 [00:17<00:02, 16.74it/s]
- 86%|########6 | 258/300 [00:17<00:02, 16.64it/s]
- 87%|########6 | 260/300 [00:17<00:02, 16.74it/s]
- 87%|########7 | 262/300 [00:18<00:02, 16.45it/s]
- 88%|########8 | 264/300 [00:18<00:02, 16.30it/s]
- 89%|########8 | 266/300 [00:18<00:02, 16.58it/s]
- 89%|########9 | 268/300 [00:18<00:01, 16.83it/s]
- 90%|######### | 270/300 [00:18<00:01, 17.23it/s]
- 91%|######### | 272/300 [00:18<00:01, 16.66it/s]
- 91%|#########1| 274/300 [00:18<00:01, 17.08it/s]
- 92%|#########2| 276/300 [00:18<00:01, 17.44it/s]
- 93%|#########2| 278/300 [00:19<00:01, 17.19it/s]
- 93%|#########3| 280/300 [00:19<00:01, 15.80it/s]
- 94%|#########3| 282/300 [00:19<00:01, 16.43it/s]
- 95%|#########4| 284/300 [00:19<00:00, 16.80it/s]
- 95%|#########5| 286/300 [00:19<00:00, 17.22it/s]
- 96%|#########6| 288/300 [00:19<00:00, 16.94it/s]
- 97%|#########6| 290/300 [00:19<00:00, 17.13it/s]
- 97%|#########7| 292/300 [00:19<00:00, 17.48it/s]
- 98%|#########8| 294/300 [00:19<00:00, 17.64it/s]
- 99%|#########8| 296/300 [00:20<00:00, 17.89it/s]
- 99%|#########9| 298/300 [00:20<00:00, 17.33it/s]
-100%|##########| 300/300 [00:20<00:00, 17.71it/s]
-100%|##########| 300/300 [00:20<00:00, 14.79it/s]
-Best alignment is with the first behavioral event shifted 0.00 s relative to the first synchronization event and has errors: min -3.74 ms, q1 -0.93 ms, med -0.02 ms, q3 0.90 ms, max 3.81 ms, 3 missed events
+  1%|          | 2/300 [00:00<00:16, 17.64it/s]
+  1%|1         | 4/300 [00:00<00:16, 17.81it/s]
+  2%|2         | 6/300 [00:00<00:16, 17.68it/s]
+  3%|2         | 8/300 [00:00<00:16, 17.84it/s]
+  3%|3         | 10/300 [00:00<00:16, 17.07it/s]
+  4%|4         | 12/300 [00:00<00:16, 17.48it/s]
+  5%|4         | 14/300 [00:00<00:16, 17.64it/s]
+  5%|5         | 16/300 [00:00<00:16, 17.23it/s]
+  6%|6         | 18/300 [00:01<00:16, 17.25it/s]
+  7%|6         | 20/300 [00:01<00:16, 17.27it/s]
+  7%|7         | 22/300 [00:01<00:15, 17.53it/s]
+  8%|8         | 24/300 [00:01<00:16, 17.23it/s]
+  9%|8         | 26/300 [00:01<00:16, 16.26it/s]
+  9%|9         | 28/300 [00:01<00:16, 16.56it/s]
+ 10%|#         | 30/300 [00:01<00:15, 16.95it/s]
+ 11%|#         | 32/300 [00:01<00:17, 15.76it/s]
+ 11%|#1        | 34/300 [00:02<00:19, 13.90it/s]
+ 12%|#2        | 36/300 [00:02<00:17, 14.68it/s]
+ 13%|#2        | 38/300 [00:02<00:18, 14.53it/s]
+ 13%|#3        | 40/300 [00:02<00:19, 13.44it/s]
+ 14%|#4        | 42/300 [00:02<00:18, 14.17it/s]
+ 15%|#4        | 44/300 [00:02<00:17, 14.57it/s]
+ 15%|#5        | 46/300 [00:02<00:16, 15.36it/s]
+ 16%|#6        | 48/300 [00:02<00:15, 15.77it/s]
+ 17%|#6        | 50/300 [00:03<00:15, 15.63it/s]
+ 17%|#7        | 52/300 [00:03<00:15, 15.78it/s]
+ 18%|#8        | 54/300 [00:03<00:15, 16.24it/s]
+ 19%|#8        | 56/300 [00:03<00:14, 16.36it/s]
+ 19%|#9        | 58/300 [00:03<00:14, 16.60it/s]
+ 20%|##        | 60/300 [00:03<00:14, 16.87it/s]
+ 21%|##        | 62/300 [00:03<00:13, 17.06it/s]
+ 21%|##1       | 64/300 [00:03<00:13, 17.20it/s]
+ 22%|##2       | 66/300 [00:04<00:13, 17.27it/s]
+ 23%|##2       | 68/300 [00:04<00:13, 17.43it/s]
+ 23%|##3       | 70/300 [00:04<00:13, 17.42it/s]
+ 24%|##4       | 72/300 [00:04<00:13, 16.99it/s]
+ 25%|##4       | 74/300 [00:04<00:13, 16.73it/s]
+ 25%|##5       | 76/300 [00:04<00:13, 17.05it/s]
+ 26%|##6       | 78/300 [00:04<00:12, 17.39it/s]
+ 27%|##6       | 80/300 [00:04<00:12, 17.48it/s]
+ 27%|##7       | 82/300 [00:04<00:12, 17.42it/s]
+ 28%|##8       | 84/300 [00:05<00:12, 17.36it/s]
+ 29%|##8       | 86/300 [00:05<00:12, 17.46it/s]
+ 29%|##9       | 88/300 [00:05<00:12, 17.41it/s]
+ 30%|###       | 90/300 [00:05<00:12, 17.47it/s]
+ 31%|###       | 92/300 [00:05<00:11, 17.53it/s]
+ 31%|###1      | 94/300 [00:05<00:11, 17.44it/s]
+ 32%|###2      | 96/300 [00:05<00:11, 17.50it/s]
+ 33%|###2      | 98/300 [00:05<00:11, 17.53it/s]
+ 33%|###3      | 100/300 [00:06<00:11, 17.20it/s]
+ 34%|###4      | 102/300 [00:06<00:11, 17.36it/s]
+ 35%|###4      | 104/300 [00:06<00:11, 17.49it/s]
+ 35%|###5      | 106/300 [00:06<00:11, 17.48it/s]
+ 36%|###6      | 108/300 [00:06<00:10, 17.59it/s]
+ 37%|###6      | 110/300 [00:06<00:10, 17.55it/s]
+ 37%|###7      | 112/300 [00:06<00:10, 17.63it/s]
+ 38%|###8      | 114/300 [00:06<00:10, 17.67it/s]
+ 39%|###8      | 116/300 [00:06<00:10, 17.75it/s]
+ 39%|###9      | 118/300 [00:07<00:10, 17.62it/s]
+ 40%|####      | 120/300 [00:07<00:10, 17.61it/s]
+ 41%|####      | 122/300 [00:07<00:10, 17.65it/s]
+ 41%|####1     | 124/300 [00:07<00:10, 17.56it/s]
+ 42%|####2     | 126/300 [00:07<00:09, 17.53it/s]
+ 43%|####2     | 128/300 [00:07<00:10, 16.68it/s]
+ 43%|####3     | 130/300 [00:07<00:09, 17.06it/s]
+ 44%|####4     | 132/300 [00:07<00:09, 17.08it/s]
+ 45%|####4     | 134/300 [00:07<00:10, 16.00it/s]
+ 45%|####5     | 136/300 [00:08<00:10, 15.47it/s]
+ 46%|####6     | 138/300 [00:08<00:10, 15.67it/s]
+ 47%|####6     | 140/300 [00:08<00:09, 16.14it/s]
+ 47%|####7     | 142/300 [00:08<00:09, 16.46it/s]
+ 48%|####8     | 144/300 [00:08<00:09, 16.71it/s]
+ 49%|####8     | 146/300 [00:08<00:10, 15.19it/s]
+ 49%|####9     | 148/300 [00:08<00:09, 15.75it/s]
+ 50%|#####     | 150/300 [00:09<00:09, 15.96it/s]
+ 51%|#####     | 152/300 [00:09<00:09, 16.31it/s]
+ 51%|#####1    | 154/300 [00:09<00:08, 16.42it/s]
+ 52%|#####2    | 156/300 [00:09<00:08, 16.46it/s]
+ 53%|#####2    | 158/300 [00:09<00:08, 16.23it/s]
+ 53%|#####3    | 160/300 [00:09<00:08, 16.40it/s]
+ 54%|#####4    | 162/300 [00:09<00:08, 15.61it/s]
+ 55%|#####4    | 164/300 [00:09<00:09, 15.05it/s]
+ 55%|#####5    | 166/300 [00:10<00:08, 15.57it/s]
+ 56%|#####6    | 168/300 [00:10<00:08, 15.96it/s]
+ 57%|#####6    | 170/300 [00:10<00:08, 16.22it/s]
+ 57%|#####7    | 172/300 [00:10<00:07, 16.40it/s]
+ 58%|#####8    | 174/300 [00:10<00:07, 16.13it/s]
+ 59%|#####8    | 176/300 [00:10<00:08, 14.92it/s]
+ 59%|#####9    | 178/300 [00:10<00:08, 14.30it/s]
+ 60%|######    | 180/300 [00:10<00:08, 14.56it/s]
+ 61%|######    | 182/300 [00:11<00:08, 13.92it/s]
+ 61%|######1   | 184/300 [00:11<00:08, 13.85it/s]
+ 62%|######2   | 186/300 [00:11<00:07, 14.65it/s]
+ 63%|######2   | 188/300 [00:11<00:07, 15.12it/s]
+ 63%|######3   | 190/300 [00:11<00:07, 15.31it/s]
+ 64%|######4   | 192/300 [00:11<00:07, 15.04it/s]
+ 65%|######4   | 194/300 [00:11<00:07, 14.77it/s]
+ 65%|######5   | 196/300 [00:12<00:07, 13.67it/s]
+ 66%|######6   | 198/300 [00:12<00:07, 13.85it/s]
+ 67%|######6   | 200/300 [00:12<00:07, 13.56it/s]
+ 67%|######7   | 202/300 [00:12<00:07, 13.49it/s]
+ 68%|######8   | 204/300 [00:12<00:07, 13.53it/s]
+ 69%|######8   | 206/300 [00:12<00:07, 12.76it/s]
+ 69%|######9   | 208/300 [00:12<00:06, 13.21it/s]
+ 70%|#######   | 210/300 [00:13<00:06, 13.81it/s]
+ 71%|#######   | 212/300 [00:13<00:06, 14.39it/s]
+ 71%|#######1  | 214/300 [00:13<00:05, 14.87it/s]
+ 72%|#######2  | 216/300 [00:13<00:05, 14.84it/s]
+ 73%|#######2  | 218/300 [00:13<00:05, 15.24it/s]
+ 73%|#######3  | 220/300 [00:13<00:05, 14.97it/s]
+ 74%|#######4  | 222/300 [00:13<00:05, 14.98it/s]
+ 75%|#######4  | 224/300 [00:14<00:04, 15.28it/s]
+ 75%|#######5  | 226/300 [00:14<00:04, 14.91it/s]
+ 76%|#######6  | 228/300 [00:14<00:04, 15.34it/s]
+ 77%|#######6  | 230/300 [00:14<00:04, 14.80it/s]
+ 77%|#######7  | 232/300 [00:14<00:04, 14.24it/s]
+ 78%|#######8  | 234/300 [00:15<00:07,  8.67it/s]
+ 79%|#######8  | 236/300 [00:15<00:09,  7.10it/s]
+ 79%|#######9  | 237/300 [00:15<00:10,  5.90it/s]
+ 80%|#######9  | 239/300 [00:15<00:09,  6.57it/s]
+ 80%|########  | 240/300 [00:16<00:11,  5.37it/s]
+ 81%|########  | 242/300 [00:16<00:08,  6.61it/s]
+ 81%|########1 | 244/300 [00:16<00:06,  8.10it/s]
+ 82%|########2 | 246/300 [00:16<00:05,  9.42it/s]
+ 83%|########2 | 248/300 [00:16<00:05, 10.15it/s]
+ 83%|########3 | 250/300 [00:16<00:05,  9.50it/s]
+ 84%|########4 | 252/300 [00:17<00:05,  8.33it/s]
+ 84%|########4 | 253/300 [00:17<00:05,  8.55it/s]
+ 85%|########5 | 255/300 [00:17<00:04,  9.52it/s]
+ 86%|########5 | 257/300 [00:18<00:06,  6.69it/s]
+ 86%|########6 | 258/300 [00:18<00:06,  6.67it/s]
+ 86%|########6 | 259/300 [00:18<00:09,  4.26it/s]
+ 87%|########6 | 260/300 [00:19<00:16,  2.50it/s]
+ 87%|########7 | 261/300 [00:19<00:15,  2.52it/s]
+ 87%|########7 | 262/300 [00:20<00:16,  2.36it/s]
+ 88%|########7 | 263/300 [00:20<00:17,  2.13it/s]
+ 88%|########8 | 264/300 [00:21<00:16,  2.21it/s]
+ 88%|########8 | 265/300 [00:21<00:17,  1.94it/s]
+ 89%|########8 | 266/300 [00:22<00:14,  2.32it/s]
+ 89%|########9 | 267/300 [00:22<00:11,  2.86it/s]
+ 89%|########9 | 268/300 [00:22<00:10,  3.06it/s]
+ 90%|########9 | 269/300 [00:22<00:08,  3.63it/s]
+ 90%|######### | 270/300 [00:22<00:07,  4.17it/s]
+ 90%|######### | 271/300 [00:23<00:06,  4.59it/s]
+ 91%|######### | 272/300 [00:23<00:05,  5.30it/s]
+ 91%|#########1| 273/300 [00:23<00:04,  6.12it/s]
+ 91%|#########1| 274/300 [00:23<00:03,  6.81it/s]
+ 92%|#########1| 275/300 [00:23<00:03,  6.49it/s]
+ 92%|#########2| 277/300 [00:23<00:03,  7.48it/s]
+ 93%|#########2| 278/300 [00:23<00:02,  8.02it/s]
+ 93%|#########3| 280/300 [00:23<00:02,  8.91it/s]
+ 94%|#########3| 282/300 [00:24<00:01, 10.09it/s]
+ 95%|#########4| 284/300 [00:24<00:01, 10.19it/s]
+ 95%|#########5| 286/300 [00:24<00:01, 10.78it/s]
+ 96%|#########6| 288/300 [00:24<00:01, 11.81it/s]
+ 97%|#########6| 290/300 [00:24<00:00, 12.30it/s]
+ 97%|#########7| 292/300 [00:24<00:00, 12.80it/s]
+ 98%|#########8| 294/300 [00:25<00:00, 13.12it/s]
+ 99%|#########8| 296/300 [00:25<00:00, 13.61it/s]
+ 99%|#########9| 298/300 [00:25<00:00, 14.05it/s]
+100%|##########| 300/300 [00:25<00:00, 14.26it/s]
+100%|##########| 300/300 [00:25<00:00, 11.79it/s]
+Best alignment is with the first behavioral event shifted 0.00 s relative to the first synchronization event and has errors: min -3.82 ms, q1 -1.00 ms, med -0.02 ms, q3 0.89 ms, max 3.73 ms, 2 missed events
 Excluding events that have zero close synchronization events or more than one synchronization event within `max_len` time
 8 recovered (not excluded)
 144 recovered (not excluded)
@@ -436,63 +411,34 @@
 interact with the window to accept or reject the recovered events by
 following the instructions.

# reject the two false deflections in the middle of the second event
-with mock.patch('builtins.input', side_effect=['y'] + ['n'] * 2 + ['y'] * 2):
-    pd_parser.add_pd_off_events(fname, off_event_name='Stim Off')
+with mock.patch('builtins.input', side_effect=['n'] * 2 + ['y'] * 2):
+    pd_parser.add_pd_off_events(fname, max_len=1.5, off_event_name='Stim Off')
 
    -
  • Corrupted Event 8 +
  • Corrupted Event 144
  • Corrupted Event 144
  • Corrupted Event 144
  • -
  • Corrupted Event 144 -
  • -
  • Corrupted Event 234 +
  • Corrupted Event 234

Out:

-
Reading in /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_09qh_91m/sub-1_task-mytask_raw.fif
-Opening raw data file /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_09qh_91m/sub-1_task-mytask_raw.fif...
+
Reading in /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_9q7hw3p3/sub-1_task-mytask_raw.fif
+Opening raw data file /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_9q7hw3p3/sub-1_task-mytask_raw.fif...
 Isotrak not found
     Range : 0 ... 2039599 =      0.000 ...  2039.599 secs
 Ready.
 Reading 0 ... 2039599  =      0.000 ...  2039.599 secs...
+Finding photodiode events
 
-  0%|          | 0/16305 [00:00<?, ?it/s]
-  4%|3         | 572/16305 [00:00<00:02, 5714.46it/s]
-  6%|6         | 1015/16305 [00:00<00:02, 5253.66it/s]
-  8%|7         | 1281/16305 [00:00<00:03, 4060.85it/s]
- 10%|9         | 1600/16305 [00:00<00:03, 3751.71it/s]
- 12%|#2        | 2038/16305 [00:00<00:03, 3920.22it/s]
- 16%|#5        | 2601/16305 [00:00<00:03, 4311.74it/s]
- 19%|#9        | 3156/16305 [00:00<00:02, 4620.00it/s]
- 23%|##2       | 3725/16305 [00:00<00:02, 4894.53it/s]
- 26%|##6       | 4257/16305 [00:00<00:02, 5014.55it/s]
- 29%|##9       | 4754/16305 [00:01<00:02, 4800.12it/s]
- 33%|###2      | 5320/16305 [00:01<00:02, 5028.42it/s]
- 36%|###6      | 5874/16305 [00:01<00:02, 5170.64it/s]
- 40%|###9      | 6452/16305 [00:01<00:01, 5339.25it/s]
- 43%|####2     | 6996/16305 [00:01<00:01, 5366.70it/s]
- 46%|####6     | 7535/16305 [00:01<00:01, 5307.69it/s]
- 50%|####9     | 8105/16305 [00:01<00:01, 5418.27it/s]
- 53%|#####3    | 8670/16305 [00:01<00:01, 5483.76it/s]
- 57%|#####6    | 9247/16305 [00:01<00:01, 5566.04it/s]
- 60%|######    | 9805/16305 [00:01<00:01, 5486.84it/s]
- 64%|######3   | 10369/16305 [00:02<00:01, 5529.63it/s]
- 67%|######7   | 10935/16305 [00:02<00:00, 5566.09it/s]
- 70%|#######   | 11493/16305 [00:02<00:00, 5485.92it/s]
- 74%|#######4  | 12067/16305 [00:02<00:00, 5557.15it/s]
- 77%|#######7  | 12624/16305 [00:02<00:00, 5494.01it/s]
- 81%|########  | 13175/16305 [00:02<00:00, 5369.80it/s]
- 84%|########4 | 13736/16305 [00:02<00:00, 5439.51it/s]
- 88%|########7 | 14312/16305 [00:02<00:00, 5529.62it/s]
- 91%|#########1| 14893/16305 [00:02<00:00, 5610.62it/s]
- 95%|#########4| 15456/16305 [00:02<00:00, 5505.02it/s]
- 98%|#########8| 16008/16305 [00:03<00:00, 5454.41it/s]
-100%|##########| 16305/16305 [00:03<00:00, 5255.32it/s]
-8 recovered (not excluded)
+  0%|          | 0/606 [00:00<?, ?it/s]
+ 55%|#####4    | 332/606 [00:00<00:00, 3315.27it/s]
+ 99%|#########9| 602/606 [00:00<00:00, 3102.75it/s]
+100%|##########| 606/606 [00:00<00:00, 2995.91it/s]
+301 up-deflection photodiode candidate events found
 144 recovered (not excluded)
 234 recovered (not excluded)
 Overwriting existing file.
@@ -515,8 +461,8 @@
 

Out:

-
Reading in /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_09qh_91m/sub-1_task-mytask_raw.fif
-Opening raw data file /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_09qh_91m/sub-1_task-mytask_raw.fif...
+
Reading in /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_9q7hw3p3/sub-1_task-mytask_raw.fif
+Opening raw data file /var/folders/s4/y1vlkn8d70jfw7s8s03m9p540000gn/T/tmp_mne_tempdir_9q7hw3p3/sub-1_task-mytask_raw.fif...
 Isotrak not found
     Range : 0 ... 2039599 =      0.000 ...  2039.599 secs
 Ready.
@@ -524,10 +470,10 @@
 Original: [  65602  989660 1595483]
 Recovered: [  65602  989660 1595483]
 Original off: [  66236  990198 1596131]
-Recovered off: [  66235  990197 1596130]
+Recovered off: [  66236  990197 1596130]
 
-

Total running time of the script: ( 0 minutes 38.796 seconds)

+

Total running time of the script: ( 0 minutes 35.956 seconds)