Use locking/unlocking for Info.update()

mne/beamformer/tests/test_dics.py

@@ -74,7 +74,8 @@ def _simulate_data(fwd, idx):  # Somewhere on the frontal lobe by default
 
     # Create an info object that holds information about the sensors
     info = mne.create_info(fwd['info']['ch_names'], sfreq, ch_types='grad')
-    info.update(fwd['info'])  # Merge in sensor position information
+    with info._unlock():
+        info.update(fwd['info'])  # Merge in sensor position information
     # heavily decimate sensors to make it much faster
     info = mne.pick_info(info, np.arange(info['nchan'])[::5])
     fwd = mne.pick_channels_forward(fwd, info['ch_names'])

mne/beamformer/tests/test_lcmv.py

@@ -125,7 +125,8 @@ def test_lcmv_vector():
     # For speed and for rank-deficiency calculation simplicity,
     # just use grads
     info = mne.pick_info(info, mne.pick_types(info, meg='grad', exclude=()))
-    info.update(bads=[], projs=[])
+    with info._unlock():
+        info.update(bads=[], projs=[])
 
     forward = mne.read_forward_solution(fname_fwd)
     forward = mne.pick_channels_forward(forward, info['ch_names'])

mne/io/fieldtrip/utils.py

@@ -76,8 +76,8 @@ def _create_info(ft_struct, raw_info):
     else:
         info = create_info(ch_names, sfreq)
         chs, dig = _create_info_chs_dig(ft_struct)
-        info.update(chs=chs, dig=dig)
-        info._update_redundant()
+        with info._unlock(update_redundant=True):
+            info.update(chs=chs, dig=dig)
 
     return info
 

mne/io/hitachi/hitachi.py

@@ -228,8 +228,8 @@ def __init__(self, fname, preload=False, *, verbose=None):
 
         # Create mne structure
         info = create_info(ch_names, sfreq, ch_types=ch_types)
-        info.update(info_extra)
         with info._unlock():
+            info.update(info_extra)
             info['meas_date'] = meas_date
             for li, loc in enumerate(locs):
                 info['chs'][li]['loc'][:] = loc

mne/io/meas_info.py

@@ -7,6 +7,7 @@
 # License: BSD-3-Clause
 
 from collections import Counter, OrderedDict
+from collections.abc import Mapping
 import contextlib
 from copy import deepcopy
 import datetime
@@ -726,6 +727,15 @@ def __setitem__(self, key, val):
                  DeprecationWarning)
         super().__setitem__(key, val)
 
+    def update(self, other=None, **kwargs):
+        """Update method using __setitem__()."""
+        iterable = other.items() if isinstance(other, Mapping) else other
+        if other is not None:
+            for key, val in iterable:
+                self[key] = val
+        for key, val in kwargs.items():
+            self[key] = val
+
     @contextlib.contextmanager
     def _unlock(self, *, update_redundant=False, check_after=False):
         """Context manager unlocking access to attributes."""

mne/io/nirx/nirx.py

@@ -333,8 +333,8 @@ def __init__(self, fname, saturated, preload=False, verbose=None):
         info = create_info(chnames,
                            samplingrate,
                            ch_types='fnirs_cw_amplitude')
-        info.update(subject_info=subject_info, dig=dig)
         with info._unlock():
+            info.update(subject_info=subject_info, dig=dig)
             info['meas_date'] = meas_date
 
         # Store channel, source, and detector locations

mne/io/reference.py

@@ -528,7 +528,8 @@ def set_bipolar_reference(inst, anode, cathode, ch_name=None, ch_info=None,
     # Set other info-keys from original instance.
     pick_info = {k: v for k, v in inst.info.items() if k not in
                  ['chs', 'ch_names', 'bads', 'nchan', 'sfreq']}
-    ref_info.update(pick_info)
+    with ref_info._unlock():
+        ref_info.update(pick_info)
 
     # Rereferencing of data.
     ref_data = multiplier @ inst._data

mne/simulation/raw.py

@@ -573,7 +573,8 @@ def add_chpi(raw, head_pos=None, interp='cos2', n_jobs=1, verbose=None):
     sinusoids = 70e-9 * np.sin(2 * np.pi * hpi_freqs[:, np.newaxis] *
                                (np.arange(len(times)) / info['sfreq']))
     info = pick_info(info, meg_picks)
-    info.update(projs=[], bads=[])  # Ensure no 'projs' or 'bads'
+    with info._unlock():
+        info.update(projs=[], bads=[])  # Ensure no 'projs' or 'bads'
     megcoils, _, _, _ = _prep_meg_channels(info, ignore_ref=False)
     used = np.zeros(len(raw.times), bool)
     dev_head_ts.append(dev_head_ts[-1])  # ZOH after time ends
@@ -689,7 +690,8 @@ def _iter_forward_solutions(info, trans, src, bem, dev_head_ts, mindist,
     """Calculate a forward solution for a subject."""
     logger.info('Setting up forward solutions')
     info = pick_info(info, picks)
-    info.update(projs=[], bads=[])  # Ensure no 'projs' or 'bads'
+    with info._unlock():
+        info.update(projs=[], bads=[])  # Ensure no 'projs' or 'bads'
     mri_head_t, trans = _get_trans(trans)
     megcoils, meg_info, compcoils, megnames, eegels, eegnames, rr, info, \
         update_kwargs, bem = _prepare_for_forward(

mne/tests/test_cov.py

@@ -721,7 +721,8 @@ def test_low_rank_cov(raw_epochs_events):
     # test that rank=306 is same as rank='full'
     epochs_meg = epochs.copy().pick_types(meg=True)
     assert len(epochs_meg.ch_names) == 306
-    epochs_meg.info.update(bads=[], projs=[])
+    with epochs_meg.info._unlock():
+        epochs_meg.info.update(bads=[], projs=[])
     cov_full = compute_covariance(epochs_meg, method='oas',
                                   rank='full', verbose='error')
     assert _cov_rank(cov_full, epochs_meg.info) == 306

tutorials/simulation/80_dics.py

@@ -155,8 +155,7 @@ def coh_signal_gen():
 
 # Read the info from the sample dataset. This defines the location of the
 # sensors and such.
-info = mne.io.read_info(raw_fname)
-info.update(sfreq=sfreq, bads=[])
+info = mne.io.read_raw(raw_fname).crop(0, 1).resample(50).info
 
 # Only use gradiometers
 picks = mne.pick_types(info, meg='grad', stim=True, exclude=())