RFC: Add dev container configuration #12306
Build #20240621.6 had test failures
Details
- Failed: 21 (0.26%)
- Passed: 7,255 (89.19%)
- Other: 858 (10.55%)
- Total: 8,134
- 32137 of 42388 branches covered (75.82%)
- 100365 of 120747 lines covered (83.12%)
Annotations
Check failure on line 23 in Build log
azure-pipelines / mne-tools.mne-python
Build log #L23
There are one or more test failures detected in result files. Detailed summary of published test results can be viewed in the Tests tab.
Check failure on line 4763 in Build log
azure-pipelines / mne-tools.mne-python
Build log #L4763
Cmd.exe exited with code '1'.
Check failure on line 1 in test_xhemi_morph
azure-pipelines / mne-tools.mne-python
test_xhemi_morph
ValueError: dimension mismatch
Raw output
mne\tests\test_morph.py:147: in test_xhemi_morph
stc = compute_source_morph(
<decorator-gen-471>:12: in compute_source_morph
???
mne\morph.py:285: in compute_source_morph
morph_mat = _compute_morph_matrix(
mne\morph.py:1195: in _compute_morph_matrix
_hemi_morph(
mne\morph.py:1245: in _hemi_morph
mm, n_missing, n_iter = _surf_upsampling_mat(vertices_from, e, smooth)
mne\utils\numerics.py:1131: in cache_fun
this_val = fun(*args)
mne\morph.py:1401: in _surf_upsampling_mat
data = use_e @ data
C:\hostedtoolcache\windows\Python\3.12.3\x64\Lib\site-packages\scipy\sparse\_base.py:715: in __matmul__
return self._matmul_dispatch(other)
C:\hostedtoolcache\windows\Python\3.12.3\x64\Lib\site-packages\scipy\sparse\_base.py:625: in _matmul_dispatch
raise ValueError('dimension mismatch')
E ValueError: dimension mismatch
Check failure on line 1 in test_surface_source_morph_round_trip[None-0.959-0.963-0-float]
azure-pipelines / mne-tools.mne-python
test_surface_source_morph_round_trip[None-0.959-0.963-0-float]
ValueError: dimension mismatch
Raw output
mne\tests\test_morph.py:249: in test_surface_source_morph_round_trip
morph = compute_source_morph(stc, "sample", "fsaverage", **kwargs)
<decorator-gen-471>:12: in compute_source_morph
???
mne\morph.py:285: in compute_source_morph
morph_mat = _compute_morph_matrix(
mne\morph.py:1195: in _compute_morph_matrix
_hemi_morph(
mne\morph.py:1245: in _hemi_morph
mm, n_missing, n_iter = _surf_upsampling_mat(vertices_from, e, smooth)
mne\utils\numerics.py:1131: in cache_fun
this_val = fun(*args)
mne\morph.py:1401: in _surf_upsampling_mat
data = use_e @ data
C:\hostedtoolcache\windows\Python\3.12.3\x64\Lib\site-packages\scipy\sparse\_base.py:715: in __matmul__
return self._matmul_dispatch(other)
C:\hostedtoolcache\windows\Python\3.12.3\x64\Lib\site-packages\scipy\sparse\_base.py:625: in _matmul_dispatch
raise ValueError('dimension mismatch')
E ValueError: dimension mismatch
Check failure on line 1 in test_surface_source_morph_round_trip[3-0.968-0.971-2-complex]
azure-pipelines / mne-tools.mne-python
test_surface_source_morph_round_trip[3-0.968-0.971-2-complex]
ValueError: dimension mismatch
Raw output
mne\tests\test_morph.py:249: in test_surface_source_morph_round_trip
morph = compute_source_morph(stc, "sample", "fsaverage", **kwargs)
<decorator-gen-471>:12: in compute_source_morph
???
mne\morph.py:285: in compute_source_morph
morph_mat = _compute_morph_matrix(
mne\morph.py:1195: in _compute_morph_matrix
_hemi_morph(
mne\morph.py:1245: in _hemi_morph
mm, n_missing, n_iter = _surf_upsampling_mat(vertices_from, e, smooth)
mne\utils\numerics.py:1131: in cache_fun
this_val = fun(*args)
mne\morph.py:1401: in _surf_upsampling_mat
data = use_e @ data
C:\hostedtoolcache\windows\Python\3.12.3\x64\Lib\site-packages\scipy\sparse\_base.py:715: in __matmul__
return self._matmul_dispatch(other)
C:\hostedtoolcache\windows\Python\3.12.3\x64\Lib\site-packages\scipy\sparse\_base.py:625: in _matmul_dispatch
raise ValueError('dimension mismatch')
E ValueError: dimension mismatch
Check failure on line 1 in test_extract_label_time_course_volume[str-False-False-False-head-meth]
azure-pipelines / mne-tools.mne-python
test_extract_label_time_course_volume[str-False-False-False-head-meth]
TypeError: 'coo_array' object is not subscriptable
Raw output
mne\tests\test_source_estimate.py:1015: in test_extract_label_time_course_volume
stc_back = labels_to_stc(labels, label_tc, src=src)
<decorator-gen-326>:12: in labels_to_stc
???
mne\label.py:2541: in labels_to_stc
label_op = extract_label_time_course(
<decorator-gen-309>:12: in extract_label_time_course
???
mne\source_estimate.py:3812: in extract_label_time_course
label_tc = list(label_tc)
mne\source_estimate.py:3675: in _gen_extract_label_time_course
labels = _volume_labels(src, labels, mri_resolution)
mne\source_estimate.py:3619: in _volume_labels
csr = interp[mask]
E TypeError: 'coo_array' object is not subscriptable