Dear all,
I have trouble loading data that has been saved with Curry 8 default format (CURRY Raw Float Format *.cdt). Since others have to do the EEG recordings and to make things on that end as fool-proof as possible I’d much prefer the default saving option. Doing this saves a .cdt file and a .cdt.dpa file, but no other files. Reading through the sourcecode of read_raw_curry, i guess mne expects a .cdt.cef or .cdt.ceo file as well.
"Curry 8": {
"info": ".cdt.dpa",
"data": ".cdt",
"labels": ".cdt.dpa",
"events_cef": ".cdt.cef",
"events_ceo": ".cdt.ceo",
"hpi": ".cdt.hpi"
}
I do have a trigger channel with events, but no hpi. When I try to load the data I get this error:
In [129]: raw = mne.io.read_raw_curry(eeg.files[2], preload=True)
Leaving device<->head transform as None (no landmarks found)
Reading 0 ... 5797887 = 0.000 ... 1415.500 secs...
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
<ipython-input-129-6f9a2fd61bab> in <module>
----> 1 raw = mne.io.read_raw_curry(eeg.files[2], preload=True)
<decorator-gen-264> in read_raw_curry(fname, preload, verbose)
/opt/anaconda/envs/tf20/lib/python3.9/site-packages/mne/io/curry/curry.py in read_raw_curry(fname, preload, verbose)
475 A Raw object containing Curry data.
476 """
--> 477 return RawCurry(fname, preload, verbose)
478
479
<decorator-gen-265> in __init__(self, fname, preload, verbose)
/opt/anaconda/envs/tf20/lib/python3.9/site-packages/mne/io/curry/curry.py in __init__(self, fname, preload, verbose)
508 raw_extras = dict(is_ascii=is_ascii)
509
--> 510 super(RawCurry, self).__init__(
511 info, preload, filenames=[data_fname], last_samps=last_samps,
512 orig_format='int', raw_extras=[raw_extras], verbose=verbose)
<decorator-gen-197> in __init__(self, info, preload, first_samps, last_samps, filenames, raw_extras, orig_format, dtype, buffer_size_sec, orig_units, verbose)
/opt/anaconda/envs/tf20/lib/python3.9/site-packages/mne/io/base.py in __init__(self, info, preload, first_samps, last_samps, filenames, raw_extras, orig_format, dtype, buffer_size_sec, orig_units, verbose)
286 # If we have True or a string, actually do the preloading
287 if load_from_disk:
--> 288 self._preload_data(preload)
289 self._init_kwargs = _get_argvalues()
290
/opt/anaconda/envs/tf20/lib/python3.9/site-packages/mne/io/base.py in _preload_data(self, preload)
566 logger.info('Reading %d ... %d = %9.3f ... %9.3f secs...' %
567 (0, len(self.times) - 1, 0., self.times[-1]))
--> 568 self._data = self._read_segment(
569 data_buffer=data_buffer, projector=self._projector)
570 assert len(self._data) == self.info['nchan']
<decorator-gen-199> in _read_segment(self, start, stop, sel, data_buffer, projector, verbose)
/opt/anaconda/envs/tf20/lib/python3.9/site-packages/mne/io/base.py in _read_segment(***failed resolving arguments***)
451 # reindex back to original file
452 orig_idx = _convert_slice(self._read_picks[fi][need_idx])
--> 453 _ReadSegmentFileProtector(self)._read_segment_file(
454 data[:, this_sl], orig_idx, fi,
455 int(start_file), int(stop_file), cals, mult)
/opt/anaconda/envs/tf20/lib/python3.9/site-packages/mne/io/base.py in _read_segment_file(self, data, idx, fi, start, stop, cals, mult)
2111
2112 def _read_segment_file(self, data, idx, fi, start, stop, cals, mult):
-> 2113 return self.__raw.__class__._read_segment_file(
2114 self, data, idx, fi, start, stop, cals, mult)
2115
/opt/anaconda/envs/tf20/lib/python3.9/site-packages/mne/io/curry/curry.py in _read_segment_file(self, data, idx, fi, start, stop, cals, mult)
538
539 else:
--> 540 _read_segments_file(
541 self, data, idx, fi, start, stop, cals, mult, dtype="<f4")
/opt/anaconda/envs/tf20/lib/python3.9/site-packages/mne/io/utils.py in _read_segments_file(raw, data, idx, fi, start, stop, cals, mult, dtype, n_channels, offset, trigger_ch)
220 block = np.fromfile(fid, dtype, count)
221 if block.size != count:
--> 222 raise RuntimeError('Incorrect number of samples (%s != %s), '
223 'please report this error to MNE-Python '
224 'developers' % (block.size, count))
RuntimeError: Incorrect number of samples (39818 != 24999975), please report this error to MNE-Python developers
So here you are 
If I save the file as ‘CURRY Raw ASCII Format (*.cdt)’ strangly it does work. By the way, Curry then also saves the additional .cef file.
This is my version and (conda) environment information:
mne.sys_info()
Qt WebEngine seems to be initialized from a plugin. Please set Qt::AA_ShareOpenGLContexts using QCoreApplication::setAttribute before constructing QGuiApplication.
Platform: Linux-4.15.0-156-generic-x86_64-with-glibc2.27
Python: 3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0]
Executable: /opt/anaconda/envs/tf20/bin/python
CPU: x86_64: 32 cores
Memory: 62.9 GB
mne: 0.24.0
numpy: 1.19.5 {blas=openblas, lapack=openblas}
scipy: 1.5.4
matplotlib: 3.4.2 {backend=Qt5Agg}
sklearn: 0.24.2
numba: 0.54.0
nibabel: Not found
nilearn: Not found
dipy: Not found
cupy: Not found
pandas: 1.3.3
mayavi: Not found
pyvista: Not found
pyvistaqt: Not found
ipyvtklink: Not found
vtk: Not found
PyQt5: 5.9.2
ipympl: Not found
mne_qt_browser: Not found
Thanks in advance for your help!
Hanneke