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This repository contains functions for detecting, analyzing, and evaluating epileptic spikes in MEG recording.

License: MIT License

Python 88.00% Jupyter Notebook 12.00%

meg-spikes epilepsy evaluating-epileptic-spikes machine-learning python

megspikes's Introduction

MEG-SPIKES

This repository contains functions for detecting, analyzing and evaluating epileptic spikes in MEG recording.

Installation

Optionally create a fresh virtual environment:

conda create -n megspikes pip python=3.7

The easiest way to install the package is using pip:

pip install megspikes

To install the latest version of the package, you should clone the repository and install all dependencies:

git clone https://github.com/MEG-SPIKES/megspikes.git
cd megspikes/
pip install .

Examples

Examples of how to use this package are prepared in the Jupyter Notebooks.

0_simulation.ipynb: simulation used to test this package and in other examples.
1_manual_pipeline.ipynb: localization of the irritative area for already detected (simulated) spikes.
2_aspire_alphacsc_pipepline.ipynb: full spikes detection pipeline and visualization of each step.

Documentation

ASPIRE AlphaCSC pipeline

Full detection pipeline is presented on the figure below. The image was created using Scikit-learn Pipeline module.

To reproduce this picture see 2_aspire_alphacsc_pipepline.ipynb.

As is it depicted on the figure, ASPIRE-AlphaCSC pipeline includes the following main steps:

ICA decomposition
1. ICA components localization
2. ICA components selection
3. ICA peaks localization
4. ICA peaks cleaning
AlphaCSC decomposition
1. AlphaCSC atoms localization
2. AlphaCSC events selection
3. AlphaCSC atoms merging
  1. AlphaCSC atoms goodness evaluation
  2. AlphaCSC atoms selection

Clusters localization and the irritative area prediction

Irritative zone prediction pipeline is presented on the figure below. The image was created using Scikit-learn Pipeline module.

To reproduce this picture see 2_aspire_alphacsc_pipepline.ipynb and 1_manual_pipeline.ipynb.

Parameters

aspire_alphacsc_default_params.yml includes all default parameters that were used to run spike detection using combination of ASPIRE [2] and AlphaCSC [1].

clusters_default_params.yml describes all the parameters that were used for the irritative area prediction based on the detected events and their clustering.

Dependencies

Analysis

Data storing

pyyaml
pandas
openpyxl
xarray
netCDF4

Visualization

Testing

pytest

Contributing

All contributors are expected to follow the code of conduct.

References

[1] La Tour, T. D., Moreau, T., Jas, M., & Gramfort, A. (2018). Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals. ArXiv:1805.09654 [Cs, Eess, Stat]. http://arxiv.org/abs/1805.09654

[2] Ossadtchi, A., Baillet, S., Mosher, J. C., Thyerlei, D., Sutherling, W., & Leahy, R. M. (2004). Automated interictal spike detection and source localization in magnetoencephalography using independent components analysis and spatio-temporal clustering. Clinical Neurophysiology, 115(3), 508–522. https://doi.org/10.1016/j.clinph.2003.10.036

megspikes's People

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megspikes's Issues

Select channels when create dataset

Select only the channels of interest when creating the cluster dataset in the function read_meg_info_for_database here.

  info = mne.io.read_info(fif_file_path)
  info = mne.pick_info(info, mne.pick_types(info, meg=True))

2021-11-30T17:27:52.2933062Z =================================== FAILURES ===================================
2021-11-30T17:27:52.2935648Z _________________ test_full_case_analysis_pipeline[4-runs0-20] _________________
2021-11-30T17:27:52.2938035Z 
2021-11-30T17:27:52.2939151Z simulation_large = Simulation
2021-11-30T17:27:52.2939999Z 
2021-11-30T17:27:52.2941578Z Spike shapes file location: /home/runner/work/megspikes/megspikes/megspikes/simulation/data/spikes.npy
2021-11-30T17:27:52.2944474Z Sim...sup-G_T_transv-rh, G_temp_sup-G_T_transv-lh, S_subparietal-rh, S_subparietal-lh
2021-11-30T17:27:52.2946223Z Events activations: 120, 120, 120, 120
2021-11-30T17:27:52.2947027Z 
2021-11-30T17:27:52.2948015Z n_runs = 4, runs = [0, 1, 2, 3], n_components = 20
2021-11-30T17:27:52.2948811Z 
2021-11-30T17:27:52.2949801Z     @pytest.mark.happy
2021-11-30T17:27:52.2954044Z     @pytest.mark.slow
2021-11-30T17:27:52.2955707Z     @pytest.mark.parametrize("n_runs,runs,n_components", [
2021-11-30T17:27:52.2956566Z         (4, [0, 1, 2, 3], 20), (1, [0], 20), (2, [0, 1], 5)])
2021-11-30T17:27:52.2957949Z     def test_full_case_analysis_pipeline(simulation_large, n_runs, runs,
2021-11-30T17:27:52.2958814Z                                          n_components):
2021-11-30T17:27:52.2959391Z         params = {
2021-11-30T17:27:52.2960877Z             'n_ica_components': n_components,
2021-11-30T17:27:52.2961723Z             'n_runs': n_runs,
2021-11-30T17:27:52.2962424Z             'runs': runs,
2021-11-30T17:27:52.2963259Z             'n_atoms': 2,  # FIXME: one atom cause bugs
2021-11-30T17:27:52.2964173Z             'PeakDetection': {'width': 2},
2021-11-30T17:27:52.2965192Z             'CleanDetections': {'n_cleaned_peaks': 50},
2021-11-30T17:27:52.2966191Z             'SelectAlphacscEvents': {
2021-11-30T17:27:52.2967104Z                 'z_hat_threshold': 1.,
2021-11-30T17:27:52.2967919Z                 'z_hat_threshold_min': 0.1}
2021-11-30T17:27:52.2968469Z         }
2021-11-30T17:27:52.2969088Z         pipe = aspire_alphacsc_pipeline(
2021-11-30T17:27:52.2969949Z             simulation_large.case_manager, update_params=params,
2021-11-30T17:27:52.2970819Z             rewrite_previous_results=True)
2021-11-30T17:27:52.2977212Z         dataset, raw = pipe.fit_transform(None)
2021-11-30T17:27:52.2979091Z         fname = f'test_report_detections_n_runs_{n_runs}_'\
2021-11-30T17:27:52.2980547Z                 f'n_components_{n_components}.pdf'
2021-11-30T17:27:52.2981966Z         report_detections_path = simulation_large.case_manager.basic_folders[
2021-11-30T17:27:52.2983558Z                                      'REPORTS'] / fname
2021-11-30T17:27:52.2984888Z         fname = f'test_report_atoms_library_n_runs_{n_runs}_'\
2021-11-30T17:27:52.2986293Z                 f'n_components_{n_components}.pdf'
2021-11-30T17:27:52.2987633Z         report_library_path = simulation_large.case_manager.basic_folders[
2021-11-30T17:27:52.2989121Z                           'REPORTS'] / fname
2021-11-30T17:27:52.2993250Z >       report_detection(report_detections_path, dataset, raw)
2021-11-30T17:27:52.2994088Z 
2021-11-30T17:27:52.2995106Z megspikes/tests/test_full_case.py:48: 
2021-11-30T17:27:52.2996050Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
2021-11-30T17:27:52.2997191Z megspikes/visualization/report.py:29: in report_detection
2021-11-30T17:27:52.2998621Z     fig = plot_alphacsc_clusters(dataset, data, sensors, run, atom)
2021-11-30T17:27:52.3000100Z megspikes/visualization/report.py:227: in plot_alphacsc_clusters
2021-11-30T17:27:52.3001979Z     epochs = create_epochs(raw, spikes, -0.25, 0.25, sensors=sensors)
2021-11-30T17:27:52.3003178Z megspikes/utils.py:171: in create_epochs
2021-11-30T17:27:52.3004473Z     meg_data.add_events(new_events, stim_channel=ch_name, replace=True)
2021-11-30T17:27:52.3005573Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
2021-11-30T17:27:52.3006084Z 
2021-11-30T17:27:52.3007046Z self = <Raw | sample_raw_tsss_mc_art_corr.fif, 307 x 3900 (19.5 s), ~12.4 MB, data loaded>
2021-11-30T17:27:52.3008814Z events = array([], dtype=float64), stim_channel = 'NEW_DET', replace = True
2021-11-30T17:27:52.3009647Z 
2021-11-30T17:27:52.3010612Z     def add_events(self, events, stim_channel=None, replace=False):
2021-11-30T17:27:52.3011772Z         """Add events to stim channel.
2021-11-30T17:27:52.3012496Z     
2021-11-30T17:27:52.3013153Z         Parameters
2021-11-30T17:27:52.3014105Z         ----------
2021-11-30T17:27:52.3014965Z         events : ndarray, shape (n_events, 3)
2021-11-30T17:27:52.3016201Z             Events to add. The first column specifies the sample number of
2021-11-30T17:27:52.3017587Z             each event, the second column is ignored, and the third column
2021-11-30T17:27:52.3018943Z             provides the event value. If events already exist in the Raw
2021-11-30T17:27:52.3020333Z             instance at the given sample numbers, the event values will be
2021-11-30T17:27:52.3021454Z             added together.
2021-11-30T17:27:52.3022283Z         stim_channel : str | None
2021-11-30T17:27:52.3023403Z             Name of the stim channel to add to. If None, the config variable
2021-11-30T17:27:52.3025082Z             'MNE_STIM_CHANNEL' is used. If this is not found, it will default
2021-11-30T17:27:52.3026324Z             to 'STI 014'.
2021-11-30T17:27:52.3027055Z         replace : bool
2021-11-30T17:27:52.3028129Z             If True the old events on the stim channel are removed before
2021-11-30T17:27:52.3029216Z             adding the new ones.
2021-11-30T17:27:52.3030099Z     
2021-11-30T17:27:52.3032351Z         Notes
2021-11-30T17:27:52.3033412Z         -----
2021-11-30T17:27:52.3034345Z         Data must be preloaded in order to add events.
2021-11-30T17:27:52.3035198Z         """
2021-11-30T17:27:52.3036304Z         _check_preload(self, 'Adding events')
2021-11-30T17:27:52.3037321Z         events = np.asarray(events)
2021-11-30T17:27:52.3038380Z         if events.ndim != 2 or events.shape[1] != 3:
2021-11-30T17:27:52.3039952Z >           raise ValueError('events must be shape (n_events, 3)')
2021-11-30T17:27:52.3041239Z E           ValueError: events must be shape (n_events, 3)
2021-11-30T17:27:52.3041963Z 
2021-11-30T17:27:52.3043622Z /opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/mne/io/base.py:1797: ValueError
2021-11-30T17:27:52.3045089Z =============================== warnings summary ===============================
2021-11-30T17:27:52.3047048Z ../../../../../opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/alphacsc/utils/compute_constants.py:29
2021-11-30T17:27:52.3050686Z   /opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/alphacsc/utils/compute_constants.py:29: NumbaPerformanceWarning: np.dot() is faster on contiguous arrays, called on (array(float64, 1d, A), array(float64, 1d, A))
2021-11-30T17:27:52.3053029Z     uv[k, n_channels:])
2021-11-30T17:27:52.3053551Z 
2021-11-30T17:27:52.3055342Z ../../../../../opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/alphacsc/utils/compute_constants.py:35
2021-11-30T17:27:52.3058452Z   /opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/alphacsc/utils/compute_constants.py:35: NumbaPerformanceWarning: np.dot() is faster on contiguous arrays, called on (array(float64, 2d, A), array(float64, 2d, A))
2021-11-30T17:27:52.3059969Z     DtD *= np.dot(u, u.T).reshape(n_atoms, n_atoms, 1)
2021-11-30T17:27:52.3060383Z 
2021-11-30T17:27:52.3061387Z ../../../../../opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/nilearn/datasets/__init__.py:89
2021-11-30T17:27:52.3063670Z   /opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/nilearn/datasets/__init__.py:89: FutureWarning: Fetchers from the nilearn.datasets module will be updated in version 0.9 to return python strings instead of bytes and Pandas dataframes instead of Numpy arrays.
2021-11-30T17:27:52.3065325Z     "Numpy arrays.", FutureWarning)
2021-11-30T17:27:52.3065719Z 
2021-11-30T17:27:52.3066386Z megspikes/casemanager/tests/test_casemanager.py::test_new_case
2021-11-30T17:27:52.3068948Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:303: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_casemanager/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-30T17:27:52.3072402Z     simulation.save(str(fraw2), overwrite=True)
2021-11-30T17:27:52.3072866Z 
2021-11-30T17:27:52.3073509Z megspikes/casemanager/tests/test_casemanager.py: 2 warnings
2021-11-30T17:27:52.3074366Z megspikes/database/tests/test_database.py: 1 warning
2021-11-30T17:27:52.3075193Z megspikes/detection/tests/test_detection.py: 1 warning
2021-11-30T17:27:52.3076083Z megspikes/localization/tests/test_localization.py: 1 warning
2021-11-30T17:27:52.3076975Z megspikes/simulation/tests/test_simulation.py: 1 warning
2021-11-30T17:27:52.3077749Z megspikes/tests/test_full_case.py: 1 warning
2021-11-30T17:27:52.3078461Z megspikes/tests/test_pipeline.py: 2 warnings
2021-11-30T17:27:52.3079149Z megspikes/tests/test_utils.py: 1 warning
2021-11-30T17:27:52.3079908Z megspikes/visualization/tests/test_report.py: 1 warning
2021-11-30T17:27:52.3080821Z megspikes/visualization/tests/test_visualization.py: 1 warning
2021-11-30T17:27:52.3081973Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:152: UserWarning: No tsss fif file
2021-11-30T17:27:52.3082940Z     warnings.warn("No tsss fif file")
2021-11-30T17:27:52.3083318Z 
2021-11-30T17:27:52.3083931Z megspikes/casemanager/tests/test_casemanager.py: 1 warning
2021-11-30T17:27:52.3084794Z megspikes/database/tests/test_database.py: 1 warning
2021-11-30T17:27:52.3085614Z megspikes/detection/tests/test_detection.py: 1 warning
2021-11-30T17:27:52.3086491Z megspikes/localization/tests/test_localization.py: 1 warning
2021-11-30T17:27:52.3087383Z megspikes/simulation/tests/test_simulation.py: 1 warning
2021-11-30T17:27:52.3088154Z megspikes/tests/test_full_case.py: 1 warning
2021-11-30T17:27:52.3088853Z megspikes/tests/test_pipeline.py: 2 warnings
2021-11-30T17:27:52.3089556Z megspikes/tests/test_utils.py: 1 warning
2021-11-30T17:27:52.3090311Z megspikes/visualization/tests/test_report.py: 1 warning
2021-11-30T17:27:52.3091210Z megspikes/visualization/tests/test_visualization.py: 1 warning
2021-11-30T17:27:52.3092453Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:214: UserWarning: Using ico4 instead of ico5 for BEM model
2021-11-30T17:27:52.3093854Z     warnings.warn('Using ico4 instead of ico5 for BEM model')
2021-11-30T17:27:52.3094442Z 
2021-11-30T17:27:52.3095098Z megspikes/casemanager/tests/test_casemanager.py::test_new_case
2021-11-30T17:27:52.3097764Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_casemanager/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3099890Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3100373Z 
2021-11-30T17:27:52.3101036Z megspikes/casemanager/tests/test_casemanager.py::test_new_case
2021-11-30T17:27:52.3103581Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_casemanager/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3105552Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3106014Z 
2021-11-30T17:27:52.3106622Z megspikes/database/tests/test_database.py::test_database
2021-11-30T17:27:52.3109100Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:303: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_database/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-30T17:27:52.3111721Z     simulation.save(str(fraw2), overwrite=True)
2021-11-30T17:27:52.3112173Z 
2021-11-30T17:27:52.3112764Z megspikes/database/tests/test_database.py::test_database
2021-11-30T17:27:52.3115218Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_database/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3117183Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3117665Z 
2021-11-30T17:27:52.3118268Z megspikes/database/tests/test_database.py::test_database
2021-11-30T17:27:52.3120701Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_database/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3122650Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3123125Z 
2021-11-30T17:27:52.3123819Z megspikes/detection/tests/test_detection.py::test_ica_decomposition[grad]
2021-11-30T17:27:52.3126434Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:303: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_detection/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-30T17:27:52.3128985Z     simulation.save(str(fraw2), overwrite=True)
2021-11-30T17:27:52.3129420Z 
2021-11-30T17:27:52.3130111Z megspikes/detection/tests/test_detection.py::test_ica_decomposition[grad]
2021-11-30T17:27:52.3133072Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_detection/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3135076Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3135729Z 
2021-11-30T17:27:52.3136415Z megspikes/detection/tests/test_detection.py::test_ica_decomposition[grad]
2021-11-30T17:27:52.3139131Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_detection/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3141103Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3141584Z 
2021-11-30T17:27:52.3142276Z megspikes/detection/tests/test_detection.py::test_ica_decomposition[grad]
2021-11-30T17:27:52.3143295Z megspikes/detection/tests/test_detection.py::test_ica_decomposition[mag]
2021-11-30T17:27:52.3144360Z megspikes/detection/tests/test_detection.py::test_alphacsc_decomposition[grad]
2021-11-30T17:27:52.3145450Z megspikes/detection/tests/test_detection.py::test_alphacsc_decomposition[mag]
2021-11-30T17:27:52.3146532Z megspikes/detection/tests/test_detection.py::test_alphacsc_events_selection[grad]
2021-11-30T17:27:52.3147625Z megspikes/detection/tests/test_detection.py::test_alphacsc_events_selection[mag]
2021-11-30T17:27:52.3150258Z   /home/runner/work/megspikes/megspikes/megspikes/utils.py:115: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_detection/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-30T17:27:52.3152619Z     data = mne.io.read_raw_fif(self.data_file, preload=True)
2021-11-30T17:27:52.3153098Z 
2021-11-30T17:27:52.3153687Z megspikes/detection/tests/test_detection.py: 2 warnings
2021-11-30T17:27:52.3154464Z megspikes/tests/test_full_case.py: 6 warnings
2021-11-30T17:27:52.3155192Z megspikes/tests/test_pipeline.py: 2 warnings
2021-11-30T17:27:52.3156820Z   /home/runner/work/megspikes/megspikes/megspikes/detection/detection.py:30: DeprecationWarning: Version 0.23 introduced max_iter="auto", setting max_iter=1000 for `fastica` and max_iter=500 for `infomax` and `picard`. The current default of max_iter=200 will be changed to "auto" in version 0.24.
2021-11-30T17:27:52.3158509Z     n_components=self.n_ica_components, random_state=97)
2021-11-30T17:27:52.3158984Z 
2021-11-30T17:27:52.3159676Z megspikes/detection/tests/test_detection.py::test_ica_decomposition[mag]
2021-11-30T17:27:52.3161160Z megspikes/tests/test_full_case.py::test_full_case_analysis_pipeline[4-runs0-20]
2021-11-30T17:27:52.3162489Z megspikes/tests/test_full_case.py::test_full_case_analysis_pipeline[4-runs0-20]
2021-11-30T17:27:52.3163811Z megspikes/tests/test_full_case.py::test_full_case_analysis_pipeline[1-runs1-20]
2021-11-30T17:27:52.3165112Z megspikes/tests/test_full_case.py::test_full_case_analysis_pipeline[1-runs1-20]
2021-11-30T17:27:52.3166083Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-30T17:27:52.3167073Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-30T17:27:52.3168912Z   /opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/sklearn/decomposition/_fastica.py:120: ConvergenceWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
2021-11-30T17:27:52.3170284Z     ConvergenceWarning)
2021-11-30T17:27:52.3170639Z 
2021-11-30T17:27:52.3171248Z megspikes/detection/tests/test_detection.py::test_peaks_detection
2021-11-30T17:27:52.3172379Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:763: UserWarning: ica_component_selection values are all the same
2021-11-30T17:27:52.3173524Z     f"{da_name} values are all the same")
2021-11-30T17:27:52.3173881Z 
2021-11-30T17:27:52.3175079Z megspikes/localization/tests/test_localization.py::test_forward_model_setup[mag-oct5-102-1884]
2021-11-30T17:27:52.3177974Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:303: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_localization/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-30T17:27:52.3180406Z     simulation.save(str(fraw2), overwrite=True)
2021-11-30T17:27:52.3180821Z 
2021-11-30T17:27:52.3181942Z megspikes/localization/tests/test_localization.py::test_forward_model_setup[mag-oct5-102-1884]
2021-11-30T17:27:52.3184403Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_localization/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3186259Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3186698Z 
2021-11-30T17:27:52.3187803Z megspikes/localization/tests/test_localization.py::test_forward_model_setup[mag-oct5-102-1884]
2021-11-30T17:27:52.3190679Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_localization/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3192529Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3192979Z 
2021-11-30T17:27:52.3193648Z megspikes/localization/tests/test_localization.py::test_clusters_localization
2021-11-30T17:27:52.3194962Z megspikes/tests/test_full_case.py::test_full_case_analysis_pipeline[1-runs1-20]
2021-11-30T17:27:52.3196201Z megspikes/tests/test_full_case.py::test_full_case_analysis_pipeline[2-runs2-5]
2021-11-30T17:27:52.3197076Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-30T17:27:52.3197973Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline_mne_dataset
2021-11-30T17:27:52.3198917Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-30T17:27:52.3200590Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:758: UserWarning: cluster_properties.loc[{'cluster_property': ['selected_for_iz_prediction']}] values are all the same
2021-11-30T17:27:52.3201815Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-30T17:27:52.3202210Z 
2021-11-30T17:27:52.3202884Z megspikes/localization/tests/test_localization.py::test_clusters_localization
2021-11-30T17:27:52.3204167Z megspikes/tests/test_full_case.py::test_full_case_analysis_pipeline[1-runs1-20]
2021-11-30T17:27:52.3205399Z megspikes/tests/test_full_case.py::test_full_case_analysis_pipeline[2-runs2-5]
2021-11-30T17:27:52.3206282Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-30T17:27:52.3207164Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline_mne_dataset
2021-11-30T17:27:52.3208108Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-30T17:27:52.3209485Z   /home/runner/work/megspikes/megspikes/megspikes/localization/localization.py:702: UserWarning: No clusters selected for IZ prediction.All clusters were selected instead.
2021-11-30T17:27:52.3211122Z     warnings.warn('No clusters selected for IZ prediction.'
2021-11-30T17:27:52.3211623Z 
2021-11-30T17:27:52.3212261Z megspikes/simulation/tests/test_simulation.py::test_simulation
2021-11-30T17:27:52.3214886Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:303: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_simulation/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-30T17:27:52.3217385Z     simulation.save(str(fraw2), overwrite=True)
2021-11-30T17:27:52.3217816Z 
2021-11-30T17:27:52.3218464Z megspikes/simulation/tests/test_simulation.py::test_simulation
2021-11-30T17:27:52.3220977Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_simulation/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3222956Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3223433Z 
2021-11-30T17:27:52.3224057Z megspikes/simulation/tests/test_simulation.py::test_simulation
2021-11-30T17:27:52.3226567Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_simulation/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3228788Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3229262Z 
2021-11-30T17:27:52.3230010Z megspikes/simulation/tests/test_simulation.py::test_simulation
2021-11-30T17:27:52.3233938Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/tests/test_simulation.py:25: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_simulation/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-30T17:27:52.3236499Z     raw_fif = mne.io.read_raw_fif(sim.case_manager.fif_file)
2021-11-30T17:27:52.3237260Z 
2021-11-30T17:27:52.3239011Z megspikes/tests/test_full_case.py::test_full_case_analysis_pipeline[4-runs0-20]
2021-11-30T17:27:52.3243893Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:303: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_full_case/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-30T17:27:52.3250690Z     simulation.save(str(fraw2), overwrite=True)
2021-11-30T17:27:52.3251169Z 
2021-11-30T17:27:52.3252464Z megspikes/tests/test_full_case.py::test_full_case_analysis_pipeline[4-runs0-20]
2021-11-30T17:27:52.3255027Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_full_case/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3257263Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3257757Z 
2021-11-30T17:27:52.3259069Z megspikes/tests/test_full_case.py::test_full_case_analysis_pipeline[4-runs0-20]
2021-11-30T17:27:52.3261571Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_full_case/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3263805Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3264286Z 
2021-11-30T17:27:52.3264902Z megspikes/tests/test_full_case.py: 26 warnings
2021-11-30T17:27:52.3267442Z   /home/runner/work/megspikes/megspikes/megspikes/utils.py:115: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_full_case/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-30T17:27:52.3270159Z     data = mne.io.read_raw_fif(self.data_file, preload=True)
2021-11-30T17:27:52.3270644Z 
2021-11-30T17:27:52.3271389Z megspikes/tests/test_full_case.py: 19 warnings
2021-11-30T17:27:52.3272156Z megspikes/tests/test_pipeline.py: 9 warnings
2021-11-30T17:27:52.3273369Z megspikes/visualization/tests/test_report.py: 14 warnings
2021-11-30T17:27:52.3275407Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:758: UserWarning: alphacsc_atoms_properties.loc[{'alphacsc_atom_property': 'selected'}] values are all the same
2021-11-30T17:27:52.3276718Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-30T17:27:52.3277145Z 
2021-11-30T17:27:52.3278184Z megspikes/tests/test_full_case.py::test_full_case_analysis_pipeline[1-runs1-20]
2021-11-30T17:27:52.3279512Z megspikes/tests/test_full_case.py::test_full_case_analysis_pipeline[2-runs2-5]
2021-11-30T17:27:52.3280512Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-30T17:27:52.3282286Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:758: UserWarning: alphacsc_atoms_library_properties.loc[{'atoms_library_property': 'library_run'}] values are all the same
2021-11-30T17:27:52.3283603Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-30T17:27:52.3284029Z 
2021-11-30T17:27:52.3284682Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-30T17:27:52.3287188Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:303: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_pipeline/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-30T17:27:52.3289598Z     simulation.save(str(fraw2), overwrite=True)
2021-11-30T17:27:52.3290043Z 
2021-11-30T17:27:52.3290685Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-30T17:27:52.3293167Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_pipeline/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3295142Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3295622Z 
2021-11-30T17:27:52.3296253Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-30T17:27:52.3298734Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_pipeline/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3300680Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3301155Z 
2021-11-30T17:27:52.3301780Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-30T17:27:52.3302712Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-30T17:27:52.3303895Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-30T17:27:52.3304825Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-30T17:27:52.3305693Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-30T17:27:52.3306553Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-30T17:27:52.3307393Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-30T17:27:52.3308243Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-30T17:27:52.3310614Z   /home/runner/work/megspikes/megspikes/megspikes/utils.py:115: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_pipeline/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-30T17:27:52.3312767Z     data = mne.io.read_raw_fif(self.data_file, preload=True)
2021-11-30T17:27:52.3313205Z 
2021-11-30T17:27:52.3313790Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-30T17:27:52.3314684Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline_mne_dataset
2021-11-30T17:27:52.3315632Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-30T17:27:52.3317168Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:758: UserWarning: spike.loc[{'detection_property': 'cluster'}] values are all the same
2021-11-30T17:27:52.3318266Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-30T17:27:52.3318832Z 
2021-11-30T17:27:52.3319467Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-30T17:27:52.3320421Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline_mne_dataset
2021-11-30T17:27:52.3321457Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-30T17:27:52.3323160Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:758: UserWarning: cluster_properties.loc[{'cluster_property': 'sensors'}] values are all the same
2021-11-30T17:27:52.3324391Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-30T17:27:52.3324815Z 
2021-11-30T17:27:52.3325442Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-30T17:27:52.3326409Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline_mne_dataset
2021-11-30T17:27:52.3327414Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-30T17:27:52.3329104Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:758: UserWarning: cluster_properties.loc[{'cluster_property': ['cluster_id']}] values are all the same
2021-11-30T17:27:52.3330344Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-30T17:27:52.3330760Z 
2021-11-30T17:27:52.3331380Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-30T17:27:52.3332352Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline_mne_dataset
2021-11-30T17:27:52.3333361Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-30T17:27:52.3335766Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:758: UserWarning: cluster_properties.loc[{'cluster_property': ['sensors']}] values are all the same
2021-11-30T17:27:52.3337017Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-30T17:27:52.3337441Z 
2021-11-30T17:27:52.3338067Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-30T17:27:52.3339029Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline_mne_dataset
2021-11-30T17:27:52.3340044Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-30T17:27:52.3341791Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:758: UserWarning: cluster_properties.loc[{'cluster_property': ['time_baseline']}] values are all the same
2021-11-30T17:27:52.3343241Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-30T17:27:52.3343662Z 
2021-11-30T17:27:52.3344372Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-30T17:27:52.3345332Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline_mne_dataset
2021-11-30T17:27:52.3346348Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-30T17:27:52.3348087Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:758: UserWarning: cluster_properties.loc[{'cluster_property': ['time_slope']}] values are all the same
2021-11-30T17:27:52.3349426Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-30T17:27:52.3349844Z 
2021-11-30T17:27:52.3350612Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-30T17:27:52.3351596Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline_mne_dataset
2021-11-30T17:27:52.3352615Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-30T17:27:52.3354328Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:758: UserWarning: cluster_properties.loc[{'cluster_property': ['time_peak']}] values are all the same
2021-11-30T17:27:52.3355566Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-30T17:27:52.3355974Z 
2021-11-30T17:27:52.3356618Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-30T17:27:52.3357581Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline_mne_dataset
2021-11-30T17:27:52.3358593Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-30T17:27:52.3359931Z   /home/runner/work/megspikes/megspikes/megspikes/localization/localization.py:712: RuntimeWarning: invalid value encountered in true_divide
2021-11-30T17:27:52.3360981Z     i, ii, :, peak[ii]].max()
2021-11-30T17:27:52.3361285Z 
2021-11-30T17:27:52.3361949Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline_mne_dataset
2021-11-30T17:27:52.3364588Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:303: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_pipeline/mne_example_dataset/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-30T17:27:52.3367090Z     simulation.save(str(fraw2), overwrite=True)
2021-11-30T17:27:52.3367638Z 
2021-11-30T17:27:52.3368268Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline_mne_dataset
2021-11-30T17:27:52.3370933Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_pipeline/mne_example_dataset/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3372956Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3373405Z 
2021-11-30T17:27:52.3374036Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline_mne_dataset
2021-11-30T17:27:52.3376692Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_pipeline/mne_example_dataset/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3378704Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3379185Z 
2021-11-30T17:27:52.3379939Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-30T17:27:52.3381634Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:758: UserWarning: alphacsc_atoms_library_properties.loc[{'atoms_library_property': 'library_cluster'}] values are all the same
2021-11-30T17:27:52.3383065Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-30T17:27:52.3383449Z 
2021-11-30T17:27:52.3384088Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-30T17:27:52.3385780Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:758: UserWarning: alphacsc_atoms_library_properties.loc[{'atoms_library_property': 'library_sensors'}] values are all the same
2021-11-30T17:27:52.3387030Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-30T17:27:52.3387411Z 
2021-11-30T17:27:52.3388429Z megspikes/tests/test_utils.py::test_prepare_data[1000.0-filtering0-None-True]
2021-11-30T17:27:52.3391132Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:303: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_utils/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-30T17:27:52.3393498Z     simulation.save(str(fraw2), overwrite=True)
2021-11-30T17:27:52.3393951Z 
2021-11-30T17:27:52.3395019Z megspikes/tests/test_utils.py::test_prepare_data[1000.0-filtering0-None-True]
2021-11-30T17:27:52.3397556Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_utils/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3399496Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3399981Z 
2021-11-30T17:27:52.3401025Z megspikes/tests/test_utils.py::test_prepare_data[1000.0-filtering0-None-True]
2021-11-30T17:27:52.3403572Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_utils/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3405511Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3405984Z 
2021-11-30T17:27:52.3406646Z megspikes/visualization/tests/test_report.py::test_detection_report
2021-11-30T17:27:52.3409158Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:303: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_report/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-30T17:27:52.3411558Z     simulation.save(str(fraw2), overwrite=True)
2021-11-30T17:27:52.3412003Z 
2021-11-30T17:27:52.3412668Z megspikes/visualization/tests/test_report.py::test_detection_report
2021-11-30T17:27:52.3415147Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_report/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3417094Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3417569Z 
2021-11-30T17:27:52.3418219Z megspikes/visualization/tests/test_report.py::test_detection_report
2021-11-30T17:27:52.3420797Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_report/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3422871Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3423348Z 
2021-11-30T17:27:52.3424063Z megspikes/visualization/tests/test_visualization.py::test_detections_viewer
2021-11-30T17:27:52.3426694Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:303: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_visualization/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-30T17:27:52.3429143Z     simulation.save(str(fraw2), overwrite=True)
2021-11-30T17:27:52.3429595Z 
2021-11-30T17:27:52.3430431Z megspikes/visualization/tests/test_visualization.py::test_detections_viewer
2021-11-30T17:27:52.3433261Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_visualization/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3438177Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3438962Z 
2021-11-30T17:27:52.3439734Z megspikes/visualization/tests/test_visualization.py::test_detections_viewer
2021-11-30T17:27:52.3442519Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_visualization/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-30T17:27:52.3444530Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-30T17:27:52.3445016Z 
2021-11-30T17:27:52.3445873Z -- Docs: https://docs.pytest.org/en/stable/warnings.html
2021-11-30T17:27:52.3446486Z 
2021-11-30T17:27:52.3447278Z ---------- coverage: platform linux, python 3.7.12-final-0 -----------
2021-11-30T17:27:52.3448067Z Coverage XML written to file coverage.xml
2021-11-30T17:27:52.3448471Z 
2021-11-30T17:27:52.3448946Z =========================== short test summary info ============================
2021-11-30T17:27:52.3449795Z XFAIL megspikes/localization/tests/test_localization.py::test_fast_rap_music
2021-11-30T17:27:52.3450866Z XFAIL megspikes/localization/tests/test_localization.py::test_fast_rap_music_details
2021-11-30T17:27:52.3452350Z FAILED megspikes/tests/test_full_case.py::test_full_case_analysis_pipeline[4-runs0-20]
2021-11-30T17:27:52.3453255Z ===== 1 failed, 115 passed, 2 xfailed, 201 warnings in 2626.07s (0:43:46) ======
2021-11-30T17:27:53.2471313Z ##[error]Process completed with exit code 1.

Scikit-learn upgrade cause an error

Presumably, behavior of data = preprocessing.robust_scale(data) is different. #11

Tests with error:

2021-11-26T16:51:46.1706380Z Found online and idle hosted runner in the current repository's organization account that matches the required labels: 'ubuntu-latest'
2021-11-26T16:51:46.2409723Z Waiting for a Hosted runner in the 'organization' to pick this job...
2021-11-26T16:51:46.4725503Z Job is waiting for a hosted runner to come online.
2021-11-26T16:51:48.9961265Z Job is about to start running on the hosted runner: GitHub Actions 2 (hosted)
2021-11-26T16:51:51.3640056Z Current runner version: '2.284.0'
2021-11-26T16:51:51.3671524Z ##[group]Operating System
2021-11-26T16:51:51.3672572Z Ubuntu
2021-11-26T16:51:51.3673057Z 20.04.3
2021-11-26T16:51:51.3673613Z LTS
2021-11-26T16:51:51.3674193Z ##[endgroup]
2021-11-26T16:51:51.3674804Z ##[group]Virtual Environment
2021-11-26T16:51:51.3675557Z Environment: ubuntu-20.04
2021-11-26T16:51:51.3676463Z Version: 20211122.1
2021-11-26T16:51:51.3677608Z Included Software: https://github.com/actions/virtual-environments/blob/ubuntu20/20211122.1/images/linux/Ubuntu2004-README.md
2021-11-26T16:51:51.3679193Z Image Release: https://github.com/actions/virtual-environments/releases/tag/ubuntu20%2F20211122.1
2021-11-26T16:51:51.3680227Z ##[endgroup]
2021-11-26T16:51:51.3680900Z ##[group]Virtual Environment Provisioner
2021-11-26T16:51:51.3681674Z 1.0.0.0-master-20211123-1
2021-11-26T16:51:51.3682348Z ##[endgroup]
2021-11-26T16:51:51.3684599Z ##[group]GITHUB_TOKEN Permissions
2021-11-26T16:51:51.3686167Z Actions: write
2021-11-26T16:51:51.3686844Z Checks: write
2021-11-26T16:51:51.3687460Z Contents: write
2021-11-26T16:51:51.3688054Z Deployments: write
2021-11-26T16:51:51.3688714Z Discussions: write
2021-11-26T16:51:51.3689286Z Issues: write
2021-11-26T16:51:51.3689914Z Metadata: read
2021-11-26T16:51:51.3690527Z Packages: write
2021-11-26T16:51:51.3691139Z Pages: write
2021-11-26T16:51:51.3691781Z PullRequests: write
2021-11-26T16:51:51.3692545Z RepositoryProjects: write
2021-11-26T16:51:51.3693277Z SecurityEvents: write
2021-11-26T16:51:51.3693945Z Statuses: write
2021-11-26T16:51:51.3694623Z ##[endgroup]
2021-11-26T16:51:51.3698000Z Prepare workflow directory
2021-11-26T16:51:51.4368360Z Prepare all required actions
2021-11-26T16:51:51.4379135Z Getting action download info
2021-11-26T16:51:51.7019283Z Download action repository 'actions/checkout@v2' (SHA:ec3a7ce113134d7a93b817d10a8272cb61118579)
2021-11-26T16:51:53.8130889Z Download action repository 'actions/setup-python@v2' (SHA:0066b88440aa9562be742e2c60ee750fc57d8849)
2021-11-26T16:51:54.4647398Z Download action repository 'codecov/codecov-action@v1' (SHA:29386c70ef20e286228c72b668a06fd0e8399192)
2021-11-26T16:51:55.1446738Z ##[group]Run actions/checkout@v2
2021-11-26T16:51:55.1447413Z with:
2021-11-26T16:51:55.1447959Z   repository: MEG-SPIKES/megspikes
2021-11-26T16:51:55.1449101Z   token: ***
2021-11-26T16:51:55.1449547Z   ssh-strict: true
2021-11-26T16:51:55.1450127Z   persist-credentials: true
2021-11-26T16:51:55.1450669Z   clean: true
2021-11-26T16:51:55.1451122Z   fetch-depth: 1
2021-11-26T16:51:55.1451555Z   lfs: false
2021-11-26T16:51:55.1452001Z   submodules: false
2021-11-26T16:51:55.1455331Z ##[endgroup]
2021-11-26T16:51:55.8240367Z Syncing repository: MEG-SPIKES/megspikes
2021-11-26T16:51:55.8242098Z ##[group]Getting Git version info
2021-11-26T16:51:55.8243268Z Working directory is '/home/runner/work/megspikes/megspikes'
2021-11-26T16:51:55.8244848Z [command]/usr/bin/git version
2021-11-26T16:51:55.8245480Z git version 2.34.0
2021-11-26T16:51:55.8247763Z ##[endgroup]
2021-11-26T16:51:55.8248830Z Deleting the contents of '/home/runner/work/megspikes/megspikes'
2021-11-26T16:51:55.8251575Z ##[group]Initializing the repository
2021-11-26T16:51:55.8252496Z [command]/usr/bin/git init /home/runner/work/megspikes/megspikes
2021-11-26T16:51:55.8253784Z hint: Using 'master' as the name for the initial branch. This default branch name
2021-11-26T16:51:55.8254850Z hint: is subject to change. To configure the initial branch name to use in all
2021-11-26T16:51:55.8255895Z hint: of your new repositories, which will suppress this warning, call:
2021-11-26T16:51:55.8256662Z hint: 
2021-11-26T16:51:55.8257912Z hint: 	git config --global init.defaultBranch <name>
2021-11-26T16:51:55.8258692Z hint: 
2021-11-26T16:51:55.8259636Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2021-11-26T16:51:55.8260893Z hint: 'development'. The just-created branch can be renamed via this command:
2021-11-26T16:51:55.8261921Z hint: 
2021-11-26T16:51:55.8262665Z hint: 	git branch -m <name>
2021-11-26T16:51:55.8263997Z Initialized empty Git repository in /home/runner/work/megspikes/megspikes/.git/
2021-11-26T16:51:55.8265477Z [command]/usr/bin/git remote add origin https://github.com/MEG-SPIKES/megspikes
2021-11-26T16:51:55.8267013Z ##[endgroup]
2021-11-26T16:51:55.8268299Z ##[group]Disabling automatic garbage collection
2021-11-26T16:51:55.8269374Z [command]/usr/bin/git config --local gc.auto 0
2021-11-26T16:51:55.8270617Z ##[endgroup]
2021-11-26T16:51:55.8273689Z ##[group]Setting up auth
2021-11-26T16:51:55.8274823Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2021-11-26T16:51:55.8276821Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :
2021-11-26T16:51:55.8278702Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2021-11-26T16:51:55.8280956Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :
2021-11-26T16:51:55.8283176Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2021-11-26T16:51:55.8284791Z ##[endgroup]
2021-11-26T16:51:55.8286023Z ##[group]Fetching the repository
2021-11-26T16:51:55.8288029Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --progress --no-recurse-submodules --depth=1 origin +35208400d8810f7445030b7442123d022fba6d6e:refs/remotes/origin/main
2021-11-26T16:51:55.9992801Z remote: Enumerating objects: 67, done.        
2021-11-26T16:51:55.9994184Z remote: Counting objects:   1% (1/67)        
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2021-11-26T16:51:56.0004803Z remote: Counting objects:  20% (14/67)        
2021-11-26T16:51:56.0005508Z remote: Counting objects:  22% (15/67)        
2021-11-26T16:51:56.0006198Z remote: Counting objects:  23% (16/67)        
2021-11-26T16:51:56.0006897Z remote: Counting objects:  25% (17/67)        
2021-11-26T16:51:56.0007593Z remote: Counting objects:  26% (18/67)        
2021-11-26T16:51:56.0008315Z remote: Counting objects:  28% (19/67)        
2021-11-26T16:51:56.0009021Z remote: Counting objects:  29% (20/67)        
2021-11-26T16:51:56.0009708Z remote: Counting objects:  31% (21/67)        
2021-11-26T16:51:56.0010403Z remote: Counting objects:  32% (22/67)        
2021-11-26T16:51:56.0011106Z remote: Counting objects:  34% (23/67)        
2021-11-26T16:51:56.0011789Z remote: Counting objects:  35% (24/67)        
2021-11-26T16:51:56.0012577Z remote: Counting objects:  37% (25/67)        
2021-11-26T16:51:56.0013344Z remote: Counting objects:  38% (26/67)        
2021-11-26T16:51:56.0014022Z remote: Counting objects:  40% (27/67)        
2021-11-26T16:51:56.0014723Z remote: Counting objects:  41% (28/67)        
2021-11-26T16:51:56.0015423Z remote: Counting objects:  43% (29/67)        
2021-11-26T16:51:56.0016104Z remote: Counting objects:  44% (30/67)        
2021-11-26T16:51:56.0017008Z remote: Counting objects:  46% (31/67)        
2021-11-26T16:51:56.0017715Z remote: Counting objects:  47% (32/67)        
2021-11-26T16:51:56.0018615Z remote: Counting objects:  49% (33/67)        
2021-11-26T16:51:56.0019310Z remote: Counting objects:  50% (34/67)        
2021-11-26T16:51:56.0020018Z remote: Counting objects:  52% (35/67)        
2021-11-26T16:51:56.0020703Z remote: Counting objects:  53% (36/67)        
2021-11-26T16:51:56.0021405Z remote: Counting objects:  55% (37/67)        
2021-11-26T16:51:56.0022107Z remote: Counting objects:  56% (38/67)        
2021-11-26T16:51:56.0022794Z remote: Counting objects:  58% (39/67)        
2021-11-26T16:51:56.0023491Z remote: Counting objects:  59% (40/67)        
2021-11-26T16:51:56.0024194Z remote: Counting objects:  61% (41/67)        
2021-11-26T16:51:56.0024880Z remote: Counting objects:  62% (42/67)        
2021-11-26T16:51:56.0025581Z remote: Counting objects:  64% (43/67)        
2021-11-26T16:51:56.0026287Z remote: Counting objects:  65% (44/67)        
2021-11-26T16:51:56.0026976Z remote: Counting objects:  67% (45/67)        
2021-11-26T16:51:56.0027676Z remote: Counting objects:  68% (46/67)        
2021-11-26T16:51:56.0028373Z remote: Counting objects:  70% (47/67)        
2021-11-26T16:51:56.0029074Z remote: Counting objects:  71% (48/67)        
2021-11-26T16:51:56.0029772Z remote: Counting objects:  73% (49/67)        
2021-11-26T16:51:56.0030458Z remote: Counting objects:  74% (50/67)        
2021-11-26T16:51:56.0031156Z remote: Counting objects:  76% (51/67)        
2021-11-26T16:51:56.0031853Z remote: Counting objects:  77% (52/67)        
2021-11-26T16:51:56.0032537Z remote: Counting objects:  79% (53/67)        
2021-11-26T16:51:56.0033231Z remote: Counting objects:  80% (54/67)        
2021-11-26T16:51:56.0033927Z remote: Counting objects:  82% (55/67)        
2021-11-26T16:51:56.0034605Z remote: Counting objects:  83% (56/67)        
2021-11-26T16:51:56.0035301Z remote: Counting objects:  85% (57/67)        
2021-11-26T16:51:56.0036220Z remote: Counting objects:  86% (58/67)        
2021-11-26T16:51:56.0036949Z remote: Counting objects:  88% (59/67)        
2021-11-26T16:51:56.0037781Z remote: Counting objects:  89% (60/67)        
2021-11-26T16:51:56.0038496Z remote: Counting objects:  91% (61/67)        
2021-11-26T16:51:56.0039185Z remote: Counting objects:  92% (62/67)        
2021-11-26T16:51:56.0039886Z remote: Counting objects:  94% (63/67)        
2021-11-26T16:51:56.0040567Z remote: Counting objects:  95% (64/67)        
2021-11-26T16:51:56.0041267Z remote: Counting objects:  97% (65/67)        
2021-11-26T16:51:56.0041964Z remote: Counting objects:  98% (66/67)        
2021-11-26T16:51:56.0042648Z remote: Counting objects: 100% (67/67)        
2021-11-26T16:51:56.0043378Z remote: Counting objects: 100% (67/67), done.        
2021-11-26T16:51:56.0044154Z remote: Compressing objects:   1% (1/63)        
2021-11-26T16:51:56.0044908Z remote: Compressing objects:   3% (2/63)        
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2021-11-26T16:51:56.0046439Z remote: Compressing objects:   6% (4/63)        
2021-11-26T16:51:56.0047262Z remote: Compressing objects:   7% (5/63)        
2021-11-26T16:51:56.0048034Z remote: Compressing objects:   9% (6/63)        
2021-11-26T16:51:56.0048803Z remote: Compressing objects:  11% (7/63)        
2021-11-26T16:51:56.0049550Z remote: Compressing objects:  12% (8/63)        
2021-11-26T16:51:56.0050304Z remote: Compressing objects:  14% (9/63)        
2021-11-26T16:51:56.0057972Z remote: Compressing objects:  15% (10/63)        
2021-11-26T16:51:56.0065973Z remote: Compressing objects:  17% (11/63)        
2021-11-26T16:51:56.0066767Z remote: Compressing objects:  19% (12/63)        
2021-11-26T16:51:56.0067469Z remote: Compressing objects:  20% (13/63)        
2021-11-26T16:51:56.0068152Z remote: Compressing objects:  22% (14/63)        
2021-11-26T16:51:56.0068945Z remote: Compressing objects:  23% (15/63)        
2021-11-26T16:51:56.0069593Z remote: Compressing objects:  25% (16/63)        
2021-11-26T16:51:56.0070218Z remote: Compressing objects:  26% (17/63)        
2021-11-26T16:51:56.0071102Z remote: Compressing objects:  28% (18/63)        
2021-11-26T16:51:56.0071764Z remote: Compressing objects:  30% (19/63)        
2021-11-26T16:51:56.0072390Z remote: Compressing objects:  31% (20/63)        
2021-11-26T16:51:56.0073031Z remote: Compressing objects:  33% (21/63)        
2021-11-26T16:51:56.0101848Z remote: Compressing objects:  34% (22/63)        
2021-11-26T16:51:56.0102729Z remote: Compressing objects:  36% (23/63)        
2021-11-26T16:51:56.0103828Z remote: Compressing objects:  38% (24/63)        
2021-11-26T16:51:56.0117135Z remote: Compressing objects:  39% (25/63)        
2021-11-26T16:51:56.0117821Z remote: Compressing objects:  41% (26/63)        
2021-11-26T16:51:56.0118459Z remote: Compressing objects:  42% (27/63)        
2021-11-26T16:51:56.0119109Z remote: Compressing objects:  44% (28/63)        
2021-11-26T16:51:56.0119756Z remote: Compressing objects:  46% (29/63)        
2021-11-26T16:51:56.0120384Z remote: Compressing objects:  47% (30/63)        
2021-11-26T16:51:56.0121081Z remote: Compressing objects:  49% (31/63)        
2021-11-26T16:51:56.0121721Z remote: Compressing objects:  50% (32/63)        
2021-11-26T16:51:56.0122360Z remote: Compressing objects:  52% (33/63)        
2021-11-26T16:51:56.0123004Z remote: Compressing objects:  53% (34/63)        
2021-11-26T16:51:56.0123629Z remote: Compressing objects:  55% (35/63)        
2021-11-26T16:51:56.0194134Z remote: Compressing objects:  57% (36/63)        
2021-11-26T16:51:56.0194879Z remote: Compressing objects:  58% (37/63)        
2021-11-26T16:51:56.0195585Z remote: Compressing objects:  60% (38/63)        
2021-11-26T16:51:56.0197074Z remote: Compressing objects:  61% (39/63)        
2021-11-26T16:51:56.0199496Z remote: Compressing objects:  63% (40/63)        
2021-11-26T16:51:56.0200172Z remote: Compressing objects:  65% (41/63)        
2021-11-26T16:51:56.0200818Z remote: Compressing objects:  66% (42/63)        
2021-11-26T16:51:56.0201464Z remote: Compressing objects:  68% (43/63)        
2021-11-26T16:51:56.0202345Z remote: Compressing objects:  69% (44/63)        
2021-11-26T16:51:56.0203000Z remote: Compressing objects:  71% (45/63)        
2021-11-26T16:51:56.0203645Z remote: Compressing objects:  73% (46/63)        
2021-11-26T16:51:56.0204274Z remote: Compressing objects:  74% (47/63)        
2021-11-26T16:51:56.0206200Z remote: Compressing objects:  76% (48/63)        
2021-11-26T16:51:56.0208944Z remote: Compressing objects:  77% (49/63)        
2021-11-26T16:51:56.0209551Z remote: Compressing objects:  79% (50/63)        
2021-11-26T16:51:56.0210152Z remote: Compressing objects:  80% (51/63)        
2021-11-26T16:51:56.0210755Z remote: Compressing objects:  82% (52/63)        
2021-11-26T16:51:56.0211548Z remote: Compressing objects:  84% (53/63)        
2021-11-26T16:51:56.0212188Z remote: Compressing objects:  85% (54/63)        
2021-11-26T16:51:56.0212843Z remote: Compressing objects:  87% (55/63)        
2021-11-26T16:51:56.0213477Z remote: Compressing objects:  88% (56/63)        
2021-11-26T16:51:56.0214150Z remote: Compressing objects:  90% (57/63)        
2021-11-26T16:51:56.0214780Z remote: Compressing objects:  92% (58/63)        
2021-11-26T16:51:56.0215420Z remote: Compressing objects:  93% (59/63)        
2021-11-26T16:51:56.0216056Z remote: Compressing objects:  95% (60/63)        
2021-11-26T16:51:56.0216683Z remote: Compressing objects:  96% (61/63)        
2021-11-26T16:51:56.0217326Z remote: Compressing objects:  98% (62/63)        
2021-11-26T16:51:56.0218046Z remote: Compressing objects: 100% (63/63)        
2021-11-26T16:51:56.0218842Z remote: Compressing objects: 100% (63/63), done.        
2021-11-26T16:51:56.1780328Z remote: Total 67 (delta 2), reused 32 (delta 1), pack-reused 0        
2021-11-26T16:51:56.1977401Z From https://github.com/MEG-SPIKES/megspikes
2021-11-26T16:51:56.1979542Z  * [new ref]         35208400d8810f7445030b7442123d022fba6d6e -> origin/main
2021-11-26T16:51:56.2015691Z ##[endgroup]
2021-11-26T16:51:56.2017358Z ##[group]Determining the checkout info
2021-11-26T16:51:56.2019063Z ##[endgroup]
2021-11-26T16:51:56.2020374Z ##[group]Checking out the ref
2021-11-26T16:51:56.2023081Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main
2021-11-26T16:51:56.2262942Z Switched to a new branch 'main'
2021-11-26T16:51:56.2265757Z Branch 'main' set up to track remote branch 'main' from 'origin'.
2021-11-26T16:51:56.2302341Z ##[endgroup]
2021-11-26T16:51:56.2356581Z [command]/usr/bin/git log -1 --format='%H'
2021-11-26T16:51:56.2382916Z '35208400d8810f7445030b7442123d022fba6d6e'
2021-11-26T16:51:56.2654253Z ##[group]Run actions/setup-python@v2
2021-11-26T16:51:56.2654790Z with:
2021-11-26T16:51:56.2655216Z   python-version: 3.7
2021-11-26T16:51:56.2656368Z   token: ***
2021-11-26T16:51:56.2656788Z ##[endgroup]
2021-11-26T16:51:56.4295471Z Successfully setup CPython (3.7.12)
2021-11-26T16:51:56.4403852Z ##[group]Run python -m pip install --upgrade pip
2021-11-26T16:51:56.4404615Z �[36;1mpython -m pip install --upgrade pip�[0m
2021-11-26T16:51:56.4405352Z �[36;1mpython -m pip install flake8 pytest pytest-cov�[0m
2021-11-26T16:51:56.4406068Z �[36;1mpip install -r requirements.txt�[0m
2021-11-26T16:51:56.4461093Z shell: /usr/bin/bash -e {0}
2021-11-26T16:51:56.4461549Z env:
2021-11-26T16:51:56.4462178Z   pythonLocation: /opt/hostedtoolcache/Python/3.7.12/x64
2021-11-26T16:51:56.4463271Z   LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.12/x64/lib
2021-11-26T16:51:56.4463885Z ##[endgroup]
2021-11-26T16:52:01.3148812Z Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages (21.3.1)
2021-11-26T16:52:02.4836681Z Collecting flake8
2021-11-26T16:52:02.5197574Z   Downloading flake8-4.0.1-py2.py3-none-any.whl (64 kB)
2021-11-26T16:52:02.6927704Z Collecting pytest
2021-11-26T16:52:02.7016331Z   Downloading pytest-6.2.5-py3-none-any.whl (280 kB)
2021-11-26T16:52:02.7645551Z Collecting pytest-cov
2021-11-26T16:52:02.7738026Z   Downloading pytest_cov-3.0.0-py3-none-any.whl (20 kB)
2021-11-26T16:52:02.8952136Z Collecting importlib-metadata<4.3
2021-11-26T16:52:02.9028226Z   Downloading importlib_metadata-4.2.0-py3-none-any.whl (16 kB)
2021-11-26T16:52:02.9300394Z Collecting mccabe<0.7.0,>=0.6.0
2021-11-26T16:52:02.9384020Z   Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB)
2021-11-26T16:52:02.9743197Z Collecting pyflakes<2.5.0,>=2.4.0
2021-11-26T16:52:02.9811565Z   Downloading pyflakes-2.4.0-py2.py3-none-any.whl (69 kB)
2021-11-26T16:52:03.0159902Z Collecting pycodestyle<2.9.0,>=2.8.0
2021-11-26T16:52:03.0261474Z   Downloading pycodestyle-2.8.0-py2.py3-none-any.whl (42 kB)
2021-11-26T16:52:03.0815618Z Collecting pluggy<2.0,>=0.12
2021-11-26T16:52:03.0877107Z   Downloading pluggy-1.0.0-py2.py3-none-any.whl (13 kB)
2021-11-26T16:52:03.1265477Z Collecting iniconfig
2021-11-26T16:52:03.1330280Z   Downloading iniconfig-1.1.1-py2.py3-none-any.whl (5.0 kB)
2021-11-26T16:52:03.1574018Z Collecting toml
2021-11-26T16:52:03.1633354Z   Downloading toml-0.10.2-py2.py3-none-any.whl (16 kB)
2021-11-26T16:52:03.2223715Z Collecting py>=1.8.2
2021-11-26T16:52:03.2290498Z   Downloading py-1.11.0-py2.py3-none-any.whl (98 kB)
2021-11-26T16:52:03.2700711Z Collecting attrs>=19.2.0
2021-11-26T16:52:03.2829708Z   Downloading attrs-21.2.0-py2.py3-none-any.whl (53 kB)
2021-11-26T16:52:03.3411919Z Collecting packaging
2021-11-26T16:52:03.3481038Z   Downloading packaging-21.3-py3-none-any.whl (40 kB)
2021-11-26T16:52:04.0347943Z Collecting coverage[toml]>=5.2.1
2021-11-26T16:52:04.0620701Z   Downloading coverage-6.1.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (213 kB)
2021-11-26T16:52:04.1442616Z Collecting tomli
2021-11-26T16:52:04.1504776Z   Downloading tomli-1.2.2-py3-none-any.whl (12 kB)
2021-11-26T16:52:04.2036658Z Collecting typing-extensions>=3.6.4
2021-11-26T16:52:04.2102078Z   Downloading typing_extensions-4.0.0-py3-none-any.whl (22 kB)
2021-11-26T16:52:04.2902354Z Collecting zipp>=0.5
2021-11-26T16:52:04.2973684Z   Downloading zipp-3.6.0-py3-none-any.whl (5.3 kB)
2021-11-26T16:52:04.4213396Z Collecting pyparsing!=3.0.5,>=2.0.2
2021-11-26T16:52:04.4281184Z   Downloading pyparsing-3.0.6-py3-none-any.whl (97 kB)
2021-11-26T16:52:04.6272242Z Installing collected packages: zipp, typing-extensions, pyparsing, importlib-metadata, tomli, toml, py, pluggy, packaging, iniconfig, coverage, attrs, pytest, pyflakes, pycodestyle, mccabe, pytest-cov, flake8
2021-11-26T16:52:05.4553639Z Successfully installed attrs-21.2.0 coverage-6.1.2 flake8-4.0.1 importlib-metadata-4.2.0 iniconfig-1.1.1 mccabe-0.6.1 packaging-21.3 pluggy-1.0.0 py-1.11.0 pycodestyle-2.8.0 pyflakes-2.4.0 pyparsing-3.0.6 pytest-6.2.5 pytest-cov-3.0.0 toml-0.10.2 tomli-1.2.2 typing-extensions-4.0.0 zipp-3.6.0
2021-11-26T16:52:06.2172945Z Collecting alphacsc@ git+https://github.com/alphacsc/alphacsc.git#egg=alphacsc-0.4.dev0
2021-11-26T16:52:06.2176579Z   Cloning https://github.com/alphacsc/alphacsc.git to /tmp/pip-install-tqiost67/alphacsc_e1b9b4b7a14444f7b672493385c4154e
2021-11-26T16:52:06.2227998Z   Running command git clone --filter=blob:none -q https://github.com/alphacsc/alphacsc.git /tmp/pip-install-tqiost67/alphacsc_e1b9b4b7a14444f7b672493385c4154e
2021-11-26T16:52:07.9450261Z   Resolved https://github.com/alphacsc/alphacsc.git to commit 7f10337dde929619cb63dd941945bb145383f2ad
2021-11-26T16:52:09.8021221Z   Installing build dependencies: started
2021-11-26T16:52:17.1423779Z   Installing build dependencies: finished with status 'done'
2021-11-26T16:52:17.1455266Z   Getting requirements to build wheel: started
2021-11-26T16:52:24.5434560Z   Getting requirements to build wheel: finished with status 'done'
2021-11-26T16:52:24.5476495Z   Preparing metadata (pyproject.toml): started
2021-11-26T16:52:25.3584838Z   Preparing metadata (pyproject.toml): finished with status 'done'
2021-11-26T16:52:25.4473824Z Collecting hvplot>=0.7.3
2021-11-26T16:52:25.4778019Z   Downloading hvplot-0.7.3-py2.py3-none-any.whl (3.1 MB)
2021-11-26T16:52:25.8709615Z Collecting matplotlib>=3.4.3
2021-11-26T16:52:25.9762703Z   Downloading matplotlib-3.5.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (11.2 MB)
2021-11-26T16:52:26.4440263Z Collecting mne>=0.23.2
2021-11-26T16:52:26.4510062Z   Downloading mne-0.24.0-py3-none-any.whl (7.4 MB)
2021-11-26T16:52:26.7749905Z Collecting netCDF4>=1.5.7
2021-11-26T16:52:26.7951650Z   Downloading netCDF4-1.5.8-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.6 MB)
2021-11-26T16:52:26.9148919Z Collecting nibabel
2021-11-26T16:52:26.9259524Z   Downloading nibabel-3.2.1-py3-none-any.whl (3.3 MB)
2021-11-26T16:52:27.0836943Z Collecting nilearn
2021-11-26T16:52:27.0923972Z   Downloading nilearn-0.8.1-py3-none-any.whl (10.0 MB)
2021-11-26T16:52:27.3310692Z Collecting notebook>=6.4.3
2021-11-26T16:52:27.3394557Z   Downloading notebook-6.4.6-py3-none-any.whl (9.9 MB)
2021-11-26T16:52:28.1320301Z Collecting numpy>=1.20.3
2021-11-26T16:52:28.1438512Z   Downloading numpy-1.21.4-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (15.7 MB)
2021-11-26T16:52:28.4588688Z Collecting openpyxl>=3.0.7
2021-11-26T16:52:28.4661976Z   Downloading openpyxl-3.0.9-py2.py3-none-any.whl (242 kB)
2021-11-26T16:52:28.8470094Z Collecting pandas>=1.3.2
2021-11-26T16:52:28.8541140Z   Downloading pandas-1.3.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.3 MB)
2021-11-26T16:52:29.1914784Z Collecting panel>=0.12.1
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2021-11-26T16:52:45.8900797Z   Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB)
2021-11-26T16:52:46.0032769Z Collecting importlib-resources>=1.4.0
2021-11-26T16:52:46.0095415Z   Downloading importlib_resources-5.4.0-py3-none-any.whl (28 kB)
2021-11-26T16:52:46.0639487Z Collecting pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0
2021-11-26T16:52:46.0699323Z   Downloading pyrsistent-0.18.0-cp37-cp37m-manylinux1_x86_64.whl (119 kB)
2021-11-26T16:52:47.1062832Z Collecting aiohttp
2021-11-26T16:52:47.1186073Z   Downloading aiohttp-3.8.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.1 MB)
2021-11-26T16:52:47.3304264Z Collecting parso<0.9.0,>=0.8.0
2021-11-26T16:52:47.3422842Z   Downloading parso-0.8.2-py2.py3-none-any.whl (94 kB)
2021-11-26T16:52:47.4146689Z Collecting wcwidth
2021-11-26T16:52:47.4216783Z   Downloading wcwidth-0.2.5-py2.py3-none-any.whl (30 kB)
2021-11-26T16:52:47.5280846Z Collecting async-timeout<5.0,>=4.0.0a3
2021-11-26T16:52:47.5343353Z   Downloading async_timeout-4.0.1-py3-none-any.whl (5.7 kB)
2021-11-26T16:52:47.5688150Z Collecting asynctest==0.13.0
2021-11-26T16:52:47.5800545Z   Downloading asynctest-0.13.0-py3-none-any.whl (26 kB)
2021-11-26T16:52:48.2505444Z Collecting multidict<7.0,>=4.5
2021-11-26T16:52:48.2583275Z   Downloading multidict-5.2.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (160 kB)
2021-11-26T16:52:48.3623511Z Collecting frozenlist>=1.1.1
2021-11-26T16:52:48.3716413Z   Downloading frozenlist-1.2.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (192 kB)
2021-11-26T16:52:48.4140643Z Collecting aiosignal>=1.1.2
2021-11-26T16:52:48.4210044Z   Downloading aiosignal-1.2.0-py3-none-any.whl (8.2 kB)
2021-11-26T16:52:48.8631737Z Collecting yarl<2.0,>=1.0
2021-11-26T16:52:48.8710800Z   Downloading yarl-1.7.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (271 kB)
2021-11-26T16:52:49.1868300Z Building wheels for collected packages: alphacsc
2021-11-26T16:52:49.1881184Z   Building wheel for alphacsc (pyproject.toml): started
2021-11-26T16:53:25.7439979Z   Building wheel for alphacsc (pyproject.toml): finished with status 'done'
2021-11-26T16:53:25.7713267Z   Created wheel for alphacsc: filename=alphacsc-0.4.dev28+g7f10337-cp37-cp37m-linux_x86_64.whl size=7386396 sha256=ee37dd2e564301eedb3755a70510f61a58e3873b3112cbb1ec66a6684aabf8a6
2021-11-26T16:53:25.7719085Z   Stored in directory: /tmp/pip-ephem-wheel-cache-tz3ixz60/wheels/f2/c8/79/1deb4d532b9fc61ffaace73a3d0f7b575e45ac3d91512f23a4
2021-11-26T16:53:25.7788594Z Successfully built alphacsc
2021-11-26T16:53:27.1687288Z Installing collected packages: multidict, idna, frozenlist, yarl, traitlets, six, pyrsistent, MarkupSafe, importlib-resources, importlib-metadata, charset-normalizer, asynctest, async-timeout, aiosignal, webencodings, wcwidth, urllib3, tornado, setuptools-scm, pyzmq, pyyaml, python-dateutil, ptyprocess, pillow, parso, param, numpy, nest-asyncio, kiwisolver, jupyter-core, jsonschema, jinja2, ipython-genutils, fonttools, entrypoints, cycler, certifi, aiohttp, wslink, tqdm, requests, pyviz-comms, pytz, pygments, pyct, pycparser, prompt-toolkit, pickleshare, pexpect, nbformat, matplotlib-inline, matplotlib, markdown, jupyter-client, jedi, decorator, bokeh, bleach, backcall, vtk, threadpoolctl, testpath, scooby, scipy, panel, pandocfilters, pandas, nbclient, mistune, meshio, llvmlite, jupyterlab-pygments, joblib, ipython, imageio, defusedxml, debugpy, colorcet, cffi, argcomplete, appdirs, terminado, Send2Trash, scikit-learn, QtPy, pyvista, PyQt5-sip, PyQt5-Qt5, prometheus-client, numba, nibabel, nbconvert, mne, ipykernel, holoviews, et-xmlfile, cftime, argon2-cffi, xarray, pyvistaqt, pyqt5, pooch, openpyxl, notebook, nilearn, netCDF4, hvplot, alphacsc
2021-11-26T16:53:27.4942642Z   Attempting uninstall: importlib-metadata
2021-11-26T16:53:27.4946242Z     Found existing installation: importlib-metadata 4.2.0
2021-11-26T16:53:27.4994502Z     Uninstalling importlib-metadata-4.2.0:
2021-11-26T16:53:27.5003819Z       Successfully uninstalled importlib-metadata-4.2.0
2021-11-26T16:54:06.5017524Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
2021-11-26T16:54:06.5029904Z Successfully installed MarkupSafe-2.0.1 PyQt5-Qt5-5.15.2 PyQt5-sip-12.9.0 QtPy-1.11.2 Send2Trash-1.8.0 aiohttp-3.8.1 aiosignal-1.2.0 alphacsc-0.4.dev28+g7f10337 appdirs-1.4.4 argcomplete-1.12.3 argon2-cffi-21.1.0 async-timeout-4.0.1 asynctest-0.13.0 backcall-0.2.0 bleach-4.1.0 bokeh-2.4.2 certifi-2021.10.8 cffi-1.15.0 cftime-1.5.1.1 charset-normalizer-2.0.8 colorcet-2.0.6 cycler-0.11.0 debugpy-1.5.1 decorator-5.1.0 defusedxml-0.7.1 entrypoints-0.3 et-xmlfile-1.1.0 fonttools-4.28.2 frozenlist-1.2.0 holoviews-1.14.6 hvplot-0.7.3 idna-3.3 imageio-2.12.0 importlib-metadata-4.8.2 importlib-resources-5.4.0 ipykernel-6.5.1 ipython-7.29.0 ipython-genutils-0.2.0 jedi-0.18.1 jinja2-3.0.3 joblib-1.1.0 jsonschema-4.2.1 jupyter-client-7.1.0 jupyter-core-4.9.1 jupyterlab-pygments-0.1.2 kiwisolver-1.3.2 llvmlite-0.37.0 markdown-3.3.6 matplotlib-3.5.0 matplotlib-inline-0.1.3 meshio-4.4.6 mistune-0.8.4 mne-0.24.0 multidict-5.2.0 nbclient-0.5.9 nbconvert-6.3.0 nbformat-5.1.3 nest-asyncio-1.5.1 netCDF4-1.5.8 nibabel-3.2.1 nilearn-0.8.1 notebook-6.4.6 numba-0.54.1 numpy-1.20.3 openpyxl-3.0.9 pandas-1.3.4 pandocfilters-1.5.0 panel-0.12.5 param-1.12.0 parso-0.8.2 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.4.0 pooch-1.5.2 prometheus-client-0.12.0 prompt-toolkit-3.0.22 ptyprocess-0.7.0 pycparser-2.21 pyct-0.4.8 pygments-2.10.0 pyqt5-5.15.6 pyrsistent-0.18.0 python-dateutil-2.8.2 pytz-2021.3 pyvista-0.32.1 pyvistaqt-0.5.0 pyviz-comms-2.1.0 pyyaml-6.0 pyzmq-22.3.0 requests-2.26.0 scikit-learn-1.0.1 scipy-1.7.3 scooby-0.5.9 setuptools-scm-6.3.2 six-1.16.0 terminado-0.12.1 testpath-0.5.0 threadpoolctl-3.0.0 tornado-6.1 tqdm-4.62.3 traitlets-5.1.1 urllib3-1.26.7 vtk-9.1.0 wcwidth-0.2.5 webencodings-0.5.1 wslink-1.1.1 xarray-0.20.1 yarl-1.7.2
2021-11-26T16:54:06.5042295Z flake8 4.0.1 requires importlib-metadata<4.3; python_version < "3.8", but you have importlib-metadata 4.8.2 which is incompatible.
2021-11-26T16:54:07.1078192Z ##[group]Run # stop the build if there are Python syntax errors or undefined names
2021-11-26T16:54:07.1079212Z �[36;1m# stop the build if there are Python syntax errors or undefined names�[0m
2021-11-26T16:54:07.1080132Z �[36;1mflake8 . --count --select=E9,F63,F7,F82 --show-source --statistics�[0m
2021-11-26T16:54:07.1081055Z �[36;1m# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide�[0m
2021-11-26T16:54:07.1082078Z �[36;1mflake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics�[0m
2021-11-26T16:54:07.1134764Z shell: /usr/bin/bash -e {0}
2021-11-26T16:54:07.1135220Z env:
2021-11-26T16:54:07.1135840Z   pythonLocation: /opt/hostedtoolcache/Python/3.7.12/x64
2021-11-26T16:54:07.1136751Z   LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.12/x64/lib
2021-11-26T16:54:07.1137336Z ##[endgroup]
2021-11-26T16:54:08.9502674Z 0
2021-11-26T16:54:10.1600540Z 0
2021-11-26T16:54:10.1884083Z ##[group]Run pytest -ra -s -vvv  --cov=megspikes --cov-report=xml
2021-11-26T16:54:10.1886033Z �[36;1mpytest -ra -s -vvv  --cov=megspikes --cov-report=xml�[0m
2021-11-26T16:54:10.1949793Z shell: /usr/bin/bash -e {0}
2021-11-26T16:54:10.1950222Z env:
2021-11-26T16:54:10.1950910Z   pythonLocation: /opt/hostedtoolcache/Python/3.7.12/x64
2021-11-26T16:54:10.1951783Z   LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.12/x64/lib
2021-11-26T16:54:10.1952409Z ##[endgroup]
2021-11-26T16:54:10.7404692Z ============================= test session starts ==============================
2021-11-26T16:54:10.7406486Z platform linux -- Python 3.7.12, pytest-6.2.5, py-1.11.0, pluggy-1.0.0 -- /opt/hostedtoolcache/Python/3.7.12/x64/bin/python
2021-11-26T16:54:10.7407410Z cachedir: .pytest_cache
2021-11-26T16:54:10.7408162Z rootdir: /home/runner/work/megspikes/megspikes, configfile: pytest.ini
2021-11-26T16:54:10.7409038Z plugins: cov-3.0.0
2021-11-26T16:54:26.7530322Z collecting ... collected 110 items
2021-11-26T16:54:26.7531398Z 
2021-11-26T16:54:27.9312074Z 
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2021-11-26T16:55:03.7838349Z  71%|██████████████████████████▍          | 1.18G/1.65G [00:35<00:13, 34.1MB/s]
2021-11-26T16:55:03.8842466Z  72%|██████████████████████████▌          | 1.18G/1.65G [00:35<00:13, 34.1MB/s]
2021-11-26T16:55:03.9843428Z  72%|██████████████████████████▌          | 1.19G/1.65G [00:35<00:13, 34.0MB/s]
2021-11-26T16:55:04.0842287Z  72%|██████████████████████████▋          | 1.19G/1.65G [00:36<00:13, 34.0MB/s]
2021-11-26T16:55:04.1843542Z  72%|██████████████████████████▋          | 1.19G/1.65G [00:36<00:13, 34.1MB/s]
2021-11-26T16:55:04.2845836Z  72%|██████████████████████████▊          | 1.20G/1.65G [00:36<00:13, 34.1MB/s]
2021-11-26T16:55:04.3842734Z  73%|██████████████████████████▉          | 1.20G/1.65G [00:36<00:13, 34.1MB/s]
2021-11-26T16:55:04.4843781Z  73%|██████████████████████████▉          | 1.20G/1.65G [00:36<00:13, 34.2MB/s]
2021-11-26T16:55:04.5843720Z  73%|███████████████████████████          | 1.21G/1.65G [00:36<00:12, 34.2MB/s]
2021-11-26T16:55:04.6843813Z  73%|███████████████████████████          | 1.21G/1.65G [00:36<00:12, 34.2MB/s]
2021-11-26T16:55:04.7856269Z  74%|███████████████████████████▏         | 1.21G/1.65G [00:36<00:12, 34.2MB/s]
2021-11-26T16:55:04.8856431Z  74%|███████████████████████████▎         | 1.22G/1.65G [00:36<00:12, 34.1MB/s]
2021-11-26T16:55:04.9862961Z  74%|███████████████████████████▎         | 1.22G/1.65G [00:36<00:12, 34.2MB/s]
2021-11-26T16:55:05.0866370Z  74%|███████████████████████████▍         | 1.23G/1.65G [00:37<00:12, 34.1MB/s]
2021-11-26T16:55:05.1870947Z  74%|███████████████████████████▌         | 1.23G/1.65G [00:37<00:12, 34.1MB/s]
2021-11-26T16:55:05.2872936Z  75%|███████████████████████████▌         | 1.23G/1.65G [00:37<00:12, 34.0MB/s]
2021-11-26T16:55:05.3872487Z  75%|███████████████████████████▋         | 1.24G/1.65G [00:37<00:12, 34.0MB/s]
2021-11-26T16:55:05.4873576Z  75%|███████████████████████████▋         | 1.24G/1.65G [00:37<00:12, 34.1MB/s]
2021-11-26T16:55:05.5876353Z  75%|███████████████████████████▊         | 1.24G/1.65G [00:37<00:12, 34.1MB/s]
2021-11-26T16:55:05.6876479Z  75%|███████████████████████████▉         | 1.25G/1.65G [00:37<00:11, 34.1MB/s]
2021-11-26T16:55:05.7878866Z  76%|███████████████████████████▉         | 1.25G/1.65G [00:37<00:11, 34.1MB/s]
2021-11-26T16:55:05.8885383Z  76%|████████████████████████████         | 1.25G/1.65G [00:37<00:11, 34.1MB/s]
2021-11-26T16:55:05.9886178Z  76%|████████████████████████████         | 1.26G/1.65G [00:37<00:11, 34.0MB/s]
2021-11-26T16:55:06.0887566Z  76%|████████████████████████████▏        | 1.26G/1.65G [00:38<00:11, 34.0MB/s]
2021-11-26T16:55:06.1890836Z  76%|████████████████████████████▎        | 1.26G/1.65G [00:38<00:11, 34.0MB/s]
2021-11-26T16:55:06.2888472Z  77%|████████████████████████████▎        | 1.27G/1.65G [00:38<00:11, 34.0MB/s]
2021-11-26T16:55:06.4651974Z  77%|████████████████████████████▍        | 1.27G/1.65G [00:38<00:11, 34.0MB/s]
2021-11-26T16:55:06.5652338Z  77%|████████████████████████████▍        | 1.27G/1.65G [00:38<00:13, 27.7MB/s]
2021-11-26T16:55:06.6652351Z  77%|████████████████████████████▌        | 1.28G/1.65G [00:38<00:12, 29.3MB/s]
2021-11-26T16:55:06.7653305Z  77%|████████████████████████████▋        | 1.28G/1.65G [00:38<00:12, 30.5MB/s]
2021-11-26T16:55:06.8652531Z  78%|████████████████████████████▋        | 1.28G/1.65G [00:38<00:11, 31.4MB/s]
2021-11-26T16:55:06.9652942Z  78%|████████████████████████████▊        | 1.29G/1.65G [00:38<00:11, 32.1MB/s]
2021-11-26T16:55:07.0653297Z  78%|████████████████████████████▉        | 1.29G/1.65G [00:39<00:11, 32.6MB/s]
2021-11-26T16:55:07.1653596Z  78%|████████████████████████████▉        | 1.29G/1.65G [00:39<00:10, 33.1MB/s]
2021-11-26T16:55:07.2653547Z  78%|█████████████████████████████        | 1.30G/1.65G [00:39<00:10, 33.3MB/s]
2021-11-26T16:55:07.3653286Z  79%|█████████████████████████████        | 1.30G/1.65G [00:39<00:10, 33.4MB/s]
2021-11-26T16:55:07.4653736Z  79%|█████████████████████████████▏       | 1.30G/1.65G [00:39<00:10, 33.6MB/s]
2021-11-26T16:55:07.5654019Z  79%|█████████████████████████████▎       | 1.31G/1.65G [00:39<00:10, 33.7MB/s]
2021-11-26T16:55:07.6654162Z  79%|█████████████████████████████▎       | 1.31G/1.65G [00:39<00:10, 33.8MB/s]
2021-11-26T16:55:07.7661598Z  79%|█████████████████████████████▍       | 1.31G/1.65G [00:39<00:10, 33.8MB/s]
2021-11-26T16:55:07.8654100Z  80%|█████████████████████████████▍       | 1.32G/1.65G [00:39<00:09, 33.9MB/s]
2021-11-26T16:55:07.9656743Z  80%|█████████████████████████████▌       | 1.32G/1.65G [00:39<00:09, 34.0MB/s]
2021-11-26T16:55:08.0660386Z  80%|█████████████████████████████▋       | 1.32G/1.65G [00:40<00:09, 34.0MB/s]
2021-11-26T16:55:08.1659828Z  80%|█████████████████████████████▋       | 1.33G/1.65G [00:40<00:09, 33.9MB/s]
2021-11-26T16:55:08.2660656Z  81%|█████████████████████████████▊       | 1.33G/1.65G [00:40<00:09, 33.9MB/s]
2021-11-26T16:55:08.3660639Z  81%|█████████████████████████████▊       | 1.33G/1.65G [00:40<00:09, 34.0MB/s]
2021-11-26T16:55:08.4661651Z  81%|█████████████████████████████▉       | 1.34G/1.65G [00:40<00:09, 34.0MB/s]
2021-11-26T16:55:08.5661007Z  81%|██████████████████████████████       | 1.34G/1.65G [00:40<00:09, 34.1MB/s]
2021-11-26T16:55:08.6660928Z  81%|██████████████████████████████       | 1.34G/1.65G [00:40<00:09, 34.1MB/s]
2021-11-26T16:55:08.7663762Z  82%|██████████████████████████████▏      | 1.35G/1.65G [00:40<00:08, 34.1MB/s]
2021-11-26T16:55:08.8664049Z  82%|██████████████████████████████▏      | 1.35G/1.65G [00:40<00:08, 34.1MB/s]
2021-11-26T16:55:08.9664905Z  82%|██████████████████████████████▎      | 1.35G/1.65G [00:40<00:08, 34.1MB/s]
2021-11-26T16:55:09.0667748Z  82%|██████████████████████████████▍      | 1.36G/1.65G [00:41<00:08, 34.1MB/s]
2021-11-26T16:55:09.1673484Z  82%|██████████████████████████████▍      | 1.36G/1.65G [00:41<00:08, 34.1MB/s]
2021-11-26T16:55:09.2673039Z  83%|██████████████████████████████▌      | 1.36G/1.65G [00:41<00:08, 34.0MB/s]
2021-11-26T16:55:09.3672756Z  83%|██████████████████████████████▋      | 1.37G/1.65G [00:41<00:08, 34.0MB/s]
2021-11-26T16:55:09.4673366Z  83%|██████████████████████████████▋      | 1.37G/1.65G [00:41<00:08, 34.1MB/s]
2021-11-26T16:55:09.5674123Z  83%|██████████████████████████████▊      | 1.38G/1.65G [00:41<00:08, 34.1MB/s]
2021-11-26T16:55:09.6674817Z  83%|██████████████████████████████▊      | 1.38G/1.65G [00:41<00:08, 34.1MB/s]
2021-11-26T16:55:09.7674894Z  84%|██████████████████████████████▉      | 1.38G/1.65G [00:41<00:07, 34.2MB/s]
2021-11-26T16:55:09.8676160Z  84%|███████████████████████████████      | 1.39G/1.65G [00:41<00:07, 34.2MB/s]
2021-11-26T16:55:09.9677976Z  84%|███████████████████████████████      | 1.39G/1.65G [00:41<00:07, 34.1MB/s]
2021-11-26T16:55:10.0677645Z  84%|███████████████████████████████▏     | 1.39G/1.65G [00:42<00:07, 34.2MB/s]
2021-11-26T16:55:10.1685366Z  84%|███████████████████████████████▏     | 1.40G/1.65G [00:42<00:07, 34.2MB/s]
2021-11-26T16:55:10.2685104Z  85%|███████████████████████████████▎     | 1.40G/1.65G [00:42<00:07, 34.2MB/s]
2021-11-26T16:55:10.3691887Z  85%|███████████████████████████████▍     | 1.40G/1.65G [00:42<00:07, 34.2MB/s]
2021-11-26T16:55:10.4692140Z  85%|███████████████████████████████▍     | 1.41G/1.65G [00:42<00:07, 34.1MB/s]
2021-11-26T16:55:10.5696782Z  85%|███████████████████████████████▌     | 1.41G/1.65G [00:42<00:07, 34.2MB/s]
2021-11-26T16:55:10.6705811Z  85%|███████████████████████████████▋     | 1.41G/1.65G [00:42<00:07, 34.2MB/s]
2021-11-26T16:55:10.7711404Z  86%|███████████████████████████████▋     | 1.42G/1.65G [00:42<00:06, 34.1MB/s]
2021-11-26T16:55:10.8712462Z  86%|███████████████████████████████▊     | 1.42G/1.65G [00:42<00:06, 34.0MB/s]
2021-11-26T16:55:10.9718964Z  86%|███████████████████████████████▊     | 1.42G/1.65G [00:42<00:06, 34.0MB/s]
2021-11-26T16:55:11.0720195Z  86%|███████████████████████████████▉     | 1.43G/1.65G [00:43<00:06, 34.0MB/s]
2021-11-26T16:55:11.1721158Z  87%|████████████████████████████████     | 1.43G/1.65G [00:43<00:06, 34.0MB/s]
2021-11-26T16:55:11.2719660Z  87%|████████████████████████████████     | 1.43G/1.65G [00:43<00:06, 34.0MB/s]
2021-11-26T16:55:11.3721118Z  87%|████████████████████████████████▏    | 1.44G/1.65G [00:43<00:06, 34.1MB/s]
2021-11-26T16:55:11.4721084Z  87%|████████████████████████████████▏    | 1.44G/1.65G [00:43<00:06, 34.1MB/s]
2021-11-26T16:55:11.5721674Z  87%|████████████████████████████████▎    | 1.44G/1.65G [00:43<00:06, 34.1MB/s]
2021-11-26T16:55:11.6722265Z  88%|████████████████████████████████▍    | 1.45G/1.65G [00:43<00:06, 34.1MB/s]
2021-11-26T16:55:11.7721664Z  88%|████████████████████████████████▍    | 1.45G/1.65G [00:43<00:05, 34.2MB/s]
2021-11-26T16:55:11.8730603Z  88%|████████████████████████████████▌    | 1.45G/1.65G [00:43<00:05, 34.2MB/s]
2021-11-26T16:55:11.9735137Z  88%|████████████████████████████████▌    | 1.46G/1.65G [00:43<00:05, 34.1MB/s]
2021-11-26T16:55:12.0735527Z  88%|████████████████████████████████▋    | 1.46G/1.65G [00:44<00:05, 34.1MB/s]
2021-11-26T16:55:12.1743797Z  89%|████████████████████████████████▊    | 1.46G/1.65G [00:44<00:05, 34.1MB/s]
2021-11-26T16:55:12.2751527Z  89%|████████████████████████████████▊    | 1.47G/1.65G [00:44<00:05, 34.0MB/s]
2021-11-26T16:55:12.3752124Z  89%|████████████████████████████████▉    | 1.47G/1.65G [00:44<00:05, 34.0MB/s]
2021-11-26T16:55:12.4753803Z  89%|█████████████████████████████████    | 1.47G/1.65G [00:44<00:05, 34.0MB/s]
2021-11-26T16:55:12.5913234Z  89%|█████████████████████████████████    | 1.48G/1.65G [00:44<00:05, 34.0MB/s]
2021-11-26T16:55:12.7278444Z  90%|█████████████████████████████████▏   | 1.48G/1.65G [00:44<00:05, 32.4MB/s]
2021-11-26T16:55:12.8278197Z  90%|█████████████████████████████████▏   | 1.48G/1.65G [00:44<00:05, 29.3MB/s]
2021-11-26T16:55:12.9279524Z  90%|█████████████████████████████████▎   | 1.49G/1.65G [00:44<00:05, 30.6MB/s]
2021-11-26T16:55:13.0280828Z  90%|█████████████████████████████████▍   | 1.49G/1.65G [00:44<00:05, 31.5MB/s]
2021-11-26T16:55:13.1281802Z  90%|█████████████████████████████████▍   | 1.49G/1.65G [00:45<00:04, 32.2MB/s]
2021-11-26T16:55:13.2281184Z  91%|█████████████████████████████████▌   | 1.50G/1.65G [00:45<00:04, 32.7MB/s]
2021-11-26T16:55:13.3281991Z  91%|█████████████████████████████████▌   | 1.50G/1.65G [00:45<00:04, 33.0MB/s]
2021-11-26T16:55:13.4281662Z  91%|█████████████████████████████████▋   | 1.50G/1.65G [00:45<00:04, 33.3MB/s]
2021-11-26T16:55:13.5281361Z  91%|█████████████████████████████████▊   | 1.51G/1.65G [00:45<00:04, 33.4MB/s]
2021-11-26T16:55:13.6282225Z  91%|█████████████████████████████████▊   | 1.51G/1.65G [00:45<00:04, 33.6MB/s]
2021-11-26T16:55:13.7280087Z  92%|█████████████████████████████████▉   | 1.51G/1.65G [00:45<00:04, 33.7MB/s]
2021-11-26T16:55:13.8280049Z  92%|█████████████████████████████████▉   | 1.52G/1.65G [00:45<00:03, 33.8MB/s]
2021-11-26T16:55:13.9282110Z  92%|██████████████████████████████████   | 1.52G/1.65G [00:45<00:03, 33.8MB/s]
2021-11-26T16:55:14.0282142Z  92%|██████████████████████████████████▏  | 1.52G/1.65G [00:45<00:03, 33.9MB/s]
2021-11-26T16:55:14.1283127Z  92%|██████████████████████████████████▏  | 1.53G/1.65G [00:46<00:03, 34.0MB/s]
2021-11-26T16:55:14.2291604Z  93%|██████████████████████████████████▎  | 1.53G/1.65G [00:46<00:03, 34.0MB/s]
2021-11-26T16:55:14.3292901Z  93%|██████████████████████████████████▎  | 1.54G/1.65G [00:46<00:03, 33.9MB/s]
2021-11-26T16:55:14.4292490Z  93%|██████████████████████████████████▍  | 1.54G/1.65G [00:46<00:03, 33.9MB/s]
2021-11-26T16:55:14.5293326Z  93%|██████████████████████████████████▌  | 1.54G/1.65G [00:46<00:03, 33.9MB/s]
2021-11-26T16:55:14.6301801Z  94%|██████████████████████████████████▌  | 1.55G/1.65G [00:46<00:03, 34.0MB/s]
2021-11-26T16:55:14.7301969Z  94%|██████████████████████████████████▋  | 1.55G/1.65G [00:46<00:03, 33.9MB/s]
2021-11-26T16:55:14.8302480Z  94%|██████████████████████████████████▋  | 1.55G/1.65G [00:46<00:02, 33.9MB/s]
2021-11-26T16:55:14.9302173Z  94%|██████████████████████████████████▊  | 1.56G/1.65G [00:46<00:02, 34.0MB/s]
2021-11-26T16:55:15.0303280Z  94%|██████████████████████████████████▉  | 1.56G/1.65G [00:46<00:02, 34.0MB/s]
2021-11-26T16:55:15.1306959Z  95%|██████████████████████████████████▉  | 1.56G/1.65G [00:47<00:02, 34.0MB/s]
2021-11-26T16:55:15.2307277Z  95%|███████████████████████████████████  | 1.57G/1.65G [00:47<00:02, 33.9MB/s]
2021-11-26T16:55:15.3308060Z  95%|███████████████████████████████████▏ | 1.57G/1.65G [00:47<00:02, 34.0MB/s]
2021-11-26T16:55:15.4307517Z  95%|███████████████████████████████████▏ | 1.57G/1.65G [00:47<00:02, 34.1MB/s]
2021-11-26T16:55:15.5307529Z  95%|███████████████████████████████████▎ | 1.58G/1.65G [00:47<00:02, 34.1MB/s]
2021-11-26T16:55:15.6311747Z  96%|███████████████████████████████████▎ | 1.58G/1.65G [00:47<00:02, 34.2MB/s]
2021-11-26T16:55:15.7311725Z  96%|███████████████████████████████████▍ | 1.58G/1.65G [00:47<00:02, 34.1MB/s]
2021-11-26T16:55:15.8313984Z  96%|███████████████████████████████████▌ | 1.59G/1.65G [00:47<00:01, 34.1MB/s]
2021-11-26T16:55:15.9316851Z  96%|███████████████████████████████████▌ | 1.59G/1.65G [00:47<00:01, 34.1MB/s]
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2021-11-26T16:55:17.9927460Z   0%|                                              | 0.00/1.65G [00:00<?, ?B/s]
2021-11-26T16:57:01.9772845Z megspikes/casemanager/tests/test_casemanager.py::test_new_case PASSED
2021-11-26T16:57:02.0131445Z megspikes/database/tests/test_database.py::test_make_datasets PASSED
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2021-11-26T16:57:48.4535799Z megspikes/database/tests/test_database.py::test_prepare_aspire_alphacsc_dataset[1.0-2-5-3] PASSED
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2021-11-26T16:58:35.0534751Z megspikes/detection/tests/test_detection.py::test_ica_decomposition[grad] PASSED
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2021-11-26T16:58:36.3776564Z megspikes/detection/tests/test_detection.py::test_peaks_detection_details[10.0-2] FAILED
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2021-11-26T16:58:36.4107637Z megspikes/detection/tests/test_detection.py::test_ica_peaks_detection PASSED
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2021-11-26T16:58:36.4167822Z megspikes/detection/tests/test_detection.py::test_detection_cleaning_details[times2-subcorr2-selection2-10-4] PASSED
2021-11-26T16:58:36.4423630Z megspikes/detection/tests/test_detection.py::test_ica_peaks_detection_cleaning PASSED
2021-11-26T16:58:38.7606281Z megspikes/detection/tests/test_detection.py::test_alphacsc_decomposition[grad] [GreedyCDL] Converged after 8 iteration, (dz, du) = 2.401e-05, 9.208e-06
2021-11-26T16:58:38.7612375Z PASSED
2021-11-26T16:58:40.2454898Z megspikes/detection/tests/test_detection.py::test_alphacsc_decomposition[mag] [GreedyCDL] Converged after 5 iteration, (dz, du) = 7.735e-05, 4.899e-05
2021-11-26T16:58:40.2459795Z PASSED
2021-11-26T16:58:40.8314515Z megspikes/detection/tests/test_detection.py::test_alphacsc_events_selection[grad] PASSED
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2021-11-26T16:59:27.2730425Z megspikes/localization/tests/test_localization.py::test_forward_model_setup[mag-oct5-102-1884] PASSED
2021-11-26T16:59:27.4104529Z megspikes/localization/tests/test_localization.py::test_forward_model_setup[grad-oct5-204-1884] PASSED
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2021-11-26T17:00:08.3564779Z megspikes/localization/tests/test_localization.py::test_fast_rap_music XFAIL
2021-11-26T17:00:19.1392160Z megspikes/localization/tests/test_localization.py::test_fast_rap_music_details XFAIL
2021-11-26T17:00:37.9598046Z megspikes/localization/tests/test_localization.py::test_clusters_localization PASSED
2021-11-26T17:00:37.9648158Z megspikes/scoring/tests/test_scoring.py::test_distance_to_resection[resection0-detection0-1] PASSED
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2021-11-26T17:01:23.9334194Z megspikes/simulation/tests/test_simulation.py::test_events_simulation[n_events0-simultaneous0-events0] PASSED
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2021-11-26T17:01:23.9409489Z megspikes/simulation/tests/test_simulation.py::test_events_simulation[n_events3-simultaneous3-events3] PASSED
2021-11-26T17:01:24.3781946Z megspikes/simulation/tests/test_simulation.py::test_source_simulation[events0] PASSED
2021-11-26T17:01:24.8156740Z megspikes/simulation/tests/test_simulation.py::test_source_simulation[events1] PASSED
2021-11-26T17:03:10.5084717Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline [GreedyCDL] Converged after 4 iteration, (dz, du) = 5.688e-05, 8.712e-05
2021-11-26T17:03:10.5087020Z [GreedyCDL] Converged after 4 iteration, (dz, du) = 5.688e-05, 8.712e-05
2021-11-26T17:03:10.5088558Z [GreedyCDL] Converged after 10 iteration, (dz, du) = 7.140e-05, 7.290e-05
2021-11-26T17:03:10.5090149Z [GreedyCDL] Converged after 10 iteration, (dz, du) = 7.140e-05, 7.290e-05
2021-11-26T17:03:10.5111869Z PASSED
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2021-11-26T17:04:28.5190313Z megspikes/tests/test_utils.py::test_snr_estimation PASSED
2021-11-26T17:04:28.7837426Z megspikes/tests/test_utils.py::test_labels_to_mni PASSED
2021-11-26T17:05:18.9219559Z megspikes/visualization/tests/test_visualization.py::test_detections_viewer PASSED
2021-11-26T17:05:20.6820897Z megspikes/visualization/tests/test_visualization.py::test_cluster_slope_viewer PASSED
2021-11-26T17:05:20.6822464Z 
2021-11-26T17:05:20.6823330Z =================================== FAILURES ===================================
2021-11-26T17:05:20.6825138Z _____________________ test_peaks_detection_details[1.0-1] ______________________
2021-11-26T17:05:20.6825940Z 
2021-11-26T17:05:20.6827108Z spikes = array([[ 4.44089210e-18, -1.56280785e-04, -2.71164800e-04, ...,
2021-11-26T17:05:20.6828555Z          1.80577577e-04,  1.98549402e-04,  1.33851849e...  [ 3.55271368e-17,  1.27923636e-05,  1.93491824e-05, ...,
2021-11-26T17:05:20.6831232Z         -2.59315165e-05, -2.45977892e-05, -1.43925329e-05]])
2021-11-26T17:05:20.6833425Z prominence = 1, width = 1.0
2021-11-26T17:05:20.6835269Z 
2021-11-26T17:05:20.6837868Z     @pytest.mark.parametrize('prominence', [1, 2, 4, 7.])
2021-11-26T17:05:20.6839448Z     @pytest.mark.parametrize('width', [1., 5, 10.])
2021-11-26T17:05:20.6840647Z     def test_peaks_detection_details(spikes, prominence, width):
2021-11-26T17:05:20.6841546Z         sfreq = 10_000
2021-11-26T17:05:20.6842376Z         peak_detection = PeakDetection(
2021-11-26T17:05:20.6843427Z             prominence=prominence, width=width, sfreq=sfreq)
2021-11-26T17:05:20.6844296Z         true_peaks = []
2021-11-26T17:05:20.6845020Z         for spike in spikes:
2021-11-26T17:05:20.6845784Z             data = np.zeros(sfreq*3)
2021-11-26T17:05:20.6847216Z             data[sfreq:sfreq+500] = spike
2021-11-26T17:05:20.6848329Z             (detected_peaks, _) = peak_detection._find_peaks(data)
2021-11-26T17:05:20.6849595Z             detected_peaks -= sfreq
2021-11-26T17:05:20.6850502Z             true_peaks.append(np.argmax(spike))
2021-11-26T17:05:20.6851419Z >           assert len(detected_peaks) > 0
2021-11-26T17:05:20.6852184Z E           assert 0 > 0
2021-11-26T17:05:20.6852931Z E            +  where 0 = len(array([], dtype=int64))
2021-11-26T17:05:20.6853520Z 
2021-11-26T17:05:20.6854464Z megspikes/detection/tests/test_detection.py:116: AssertionError
2021-11-26T17:05:20.6855929Z 100%|█████████████████████████████████████| 1.65G/1.65G [00:00<00:00, 2.72TB/s]
2021-11-26T17:05:20.6857571Z _____________________ test_peaks_detection_details[1.0-2] ______________________
2021-11-26T17:05:20.6858242Z 
2021-11-26T17:05:20.6859243Z spikes = array([[ 4.44089210e-18, -1.56280785e-04, -2.71164800e-04, ...,
2021-11-26T17:05:20.6860504Z          1.80577577e-04,  1.98549402e-04,  1.33851849e...  [ 3.55271368e-17,  1.27923636e-05,  1.93491824e-05, ...,
2021-11-26T17:05:20.6861945Z         -2.59315165e-05, -2.45977892e-05, -1.43925329e-05]])
2021-11-26T17:05:20.6862596Z prominence = 2, width = 1.0
2021-11-26T17:05:20.6863077Z 
2021-11-26T17:05:20.6865198Z     @pytest.mark.parametrize('prominence', [1, 2, 4, 7.])
2021-11-26T17:05:20.6869416Z     @pytest.mark.parametrize('width', [1., 5, 10.])
2021-11-26T17:05:20.6870302Z     def test_peaks_detection_details(spikes, prominence, width):
2021-11-26T17:05:20.6870943Z         sfreq = 10_000
2021-11-26T17:05:20.6871513Z         peak_detection = PeakDetection(
2021-11-26T17:05:20.6872277Z             prominence=prominence, width=width, sfreq=sfreq)
2021-11-26T17:05:20.6872897Z         true_peaks = []
2021-11-26T17:05:20.6873387Z         for spike in spikes:
2021-11-26T17:05:20.6873894Z             data = np.zeros(sfreq*3)
2021-11-26T17:05:20.6874465Z             data[sfreq:sfreq+500] = spike
2021-11-26T17:05:20.6875166Z             (detected_peaks, _) = peak_detection._find_peaks(data)
2021-11-26T17:05:20.6876133Z             detected_peaks -= sfreq
2021-11-26T17:05:20.6876890Z             true_peaks.append(np.argmax(spike))
2021-11-26T17:05:20.6877532Z >           assert len(detected_peaks) > 0
2021-11-26T17:05:20.6878027Z E           assert 0 > 0
2021-11-26T17:05:20.6878729Z E            +  where 0 = len(array([], dtype=int64))
2021-11-26T17:05:20.6879111Z 
2021-11-26T17:05:20.6879758Z megspikes/detection/tests/test_detection.py:116: AssertionError
2021-11-26T17:05:20.6880830Z _____________________ test_peaks_detection_details[1.0-4] ______________________
2021-11-26T17:05:20.6881257Z 
2021-11-26T17:05:20.6882965Z spikes = array([[ 4.44089210e-18, -1.56280785e-04, -2.71164800e-04, ...,
2021-11-26T17:05:20.6884467Z          1.80577577e-04,  1.98549402e-04,  1.33851849e...  [ 3.55271368e-17,  1.27923636e-05,  1.93491824e-05, ...,
2021-11-26T17:05:20.6885289Z         -2.59315165e-05, -2.45977892e-05, -1.43925329e-05]])
2021-11-26T17:05:20.6885828Z prominence = 4, width = 1.0
2021-11-26T17:05:20.6886149Z 
2021-11-26T17:05:20.6886975Z     @pytest.mark.parametrize('prominence', [1, 2, 4, 7.])
2021-11-26T17:05:20.6888023Z     @pytest.mark.parametrize('width', [1., 5, 10.])
2021-11-26T17:05:20.6888871Z     def test_peaks_detection_details(spikes, prominence, width):
2021-11-26T17:05:20.6889532Z         sfreq = 10_000
2021-11-26T17:05:20.6890125Z         peak_detection = PeakDetection(
2021-11-26T17:05:20.6890871Z             prominence=prominence, width=width, sfreq=sfreq)
2021-11-26T17:05:20.6891508Z         true_peaks = []
2021-11-26T17:05:20.6892001Z         for spike in spikes:
2021-11-26T17:05:20.6892510Z             data = np.zeros(sfreq*3)
2021-11-26T17:05:20.6893089Z             data[sfreq:sfreq+500] = spike
2021-11-26T17:05:20.6893792Z             (detected_peaks, _) = peak_detection._find_peaks(data)
2021-11-26T17:05:20.6894633Z             detected_peaks -= sfreq
2021-11-26T17:05:20.6895279Z             true_peaks.append(np.argmax(spike))
2021-11-26T17:05:20.6895905Z >           assert len(detected_peaks) > 0
2021-11-26T17:05:20.6896423Z E           assert 0 > 0
2021-11-26T17:05:20.6896950Z E            +  where 0 = len(array([], dtype=int64))
2021-11-26T17:05:20.6897321Z 
2021-11-26T17:05:20.6897975Z megspikes/detection/tests/test_detection.py:116: AssertionError
2021-11-26T17:05:20.6899034Z ____________________ test_peaks_detection_details[1.0-7.0] _____________________
2021-11-26T17:05:20.6899459Z 
2021-11-26T17:05:20.6900132Z spikes = array([[ 4.44089210e-18, -1.56280785e-04, -2.71164800e-04, ...,
2021-11-26T17:05:20.6901037Z          1.80577577e-04,  1.98549402e-04,  1.33851849e...  [ 3.55271368e-17,  1.27923636e-05,  1.93491824e-05, ...,
2021-11-26T17:05:20.6902127Z         -2.59315165e-05, -2.45977892e-05, -1.43925329e-05]])
2021-11-26T17:05:20.6902641Z prominence = 7.0, width = 1.0
2021-11-26T17:05:20.6902984Z 
2021-11-26T17:05:20.6903791Z     @pytest.mark.parametrize('prominence', [1, 2, 4, 7.])
2021-11-26T17:05:20.6904827Z     @pytest.mark.parametrize('width', [1., 5, 10.])
2021-11-26T17:05:20.6905671Z     def test_peaks_detection_details(spikes, prominence, width):
2021-11-26T17:05:20.6906330Z         sfreq = 10_000
2021-11-26T17:05:20.6906875Z         peak_detection = PeakDetection(
2021-11-26T17:05:20.6907641Z             prominence=prominence, width=width, sfreq=sfreq)
2021-11-26T17:05:20.6908275Z         true_peaks = []
2021-11-26T17:05:20.6908744Z         for spike in spikes:
2021-11-26T17:05:20.6909270Z             data = np.zeros(sfreq*3)
2021-11-26T17:05:20.6909840Z             data[sfreq:sfreq+500] = spike
2021-11-26T17:05:20.6910517Z             (detected_peaks, _) = peak_detection._find_peaks(data)
2021-11-26T17:05:20.6911356Z             detected_peaks -= sfreq
2021-11-26T17:05:20.6912001Z             true_peaks.append(np.argmax(spike))
2021-11-26T17:05:20.6912624Z >           assert len(detected_peaks) > 0
2021-11-26T17:05:20.6913138Z E           assert 0 > 0
2021-11-26T17:05:20.6913665Z E            +  where 0 = len(array([], dtype=int64))
2021-11-26T17:05:20.6914014Z 
2021-11-26T17:05:20.6914683Z megspikes/detection/tests/test_detection.py:116: AssertionError
2021-11-26T17:05:20.6915714Z ______________________ test_peaks_detection_details[5-1] _______________________
2021-11-26T17:05:20.6916140Z 
2021-11-26T17:05:20.6917908Z spikes = array([[ 4.44089210e-18, -1.56280785e-04, -2.71164800e-04, ...,
2021-11-26T17:05:20.6918956Z          1.80577577e-04,  1.98549402e-04,  1.33851849e...  [ 3.55271368e-17,  1.27923636e-05,  1.93491824e-05, ...,
2021-11-26T17:05:20.6919761Z         -2.59315165e-05, -2.45977892e-05, -1.43925329e-05]])
2021-11-26T17:05:20.6920267Z prominence = 1, width = 5
2021-11-26T17:05:20.6920612Z 
2021-11-26T17:05:20.6921415Z     @pytest.mark.parametrize('prominence', [1, 2, 4, 7.])
2021-11-26T17:05:20.6922428Z     @pytest.mark.parametrize('width', [1., 5, 10.])
2021-11-26T17:05:20.6923293Z     def test_peaks_detection_details(spikes, prominence, width):
2021-11-26T17:05:20.6923945Z         sfreq = 10_000
2021-11-26T17:05:20.6924488Z         peak_detection = PeakDetection(
2021-11-26T17:05:20.6925250Z             prominence=prominence, width=width, sfreq=sfreq)
2021-11-26T17:05:20.6925883Z         true_peaks = []
2021-11-26T17:05:20.6926349Z         for spike in spikes:
2021-11-26T17:05:20.6926876Z             data = np.zeros(sfreq*3)
2021-11-26T17:05:20.6927419Z             data[sfreq:sfreq+500] = spike
2021-11-26T17:05:20.6928126Z             (detected_peaks, _) = peak_detection._find_peaks(data)
2021-11-26T17:05:20.6928962Z             detected_peaks -= sfreq
2021-11-26T17:05:20.6929582Z             true_peaks.append(np.argmax(spike))
2021-11-26T17:05:20.6930232Z >           assert len(detected_peaks) > 0
2021-11-26T17:05:20.6930754Z E           assert 0 > 0
2021-11-26T17:05:20.6931254Z E            +  where 0 = len(array([], dtype=int64))
2021-11-26T17:05:20.6931623Z 
2021-11-26T17:05:20.6932290Z megspikes/detection/tests/test_detection.py:116: AssertionError
2021-11-26T17:05:20.6933461Z ______________________ test_peaks_detection_details[5-2] _______________________
2021-11-26T17:05:20.6933888Z 
2021-11-26T17:05:20.6934559Z spikes = array([[ 4.44089210e-18, -1.56280785e-04, -2.71164800e-04, ...,
2021-11-26T17:05:20.6935467Z          1.80577577e-04,  1.98549402e-04,  1.33851849e...  [ 3.55271368e-17,  1.27923636e-05,  1.93491824e-05, ...,
2021-11-26T17:05:20.6936246Z         -2.59315165e-05, -2.45977892e-05, -1.43925329e-05]])
2021-11-26T17:05:20.6936750Z prominence = 2, width = 5
2021-11-26T17:05:20.6937083Z 
2021-11-26T17:05:20.6937888Z     @pytest.mark.parametrize('prominence', [1, 2, 4, 7.])
2021-11-26T17:05:20.6938916Z     @pytest.mark.parametrize('width', [1., 5, 10.])
2021-11-26T17:05:20.6939882Z     def test_peaks_detection_details(spikes, prominence, width):
2021-11-26T17:05:20.6940537Z         sfreq = 10_000
2021-11-26T17:05:20.6941102Z         peak_detection = PeakDetection(
2021-11-26T17:05:20.6941842Z             prominence=prominence, width=width, sfreq=sfreq)
2021-11-26T17:05:20.6942476Z         true_peaks = []
2021-11-26T17:05:20.6942939Z         for spike in spikes:
2021-11-26T17:05:20.6943469Z             data = np.zeros(sfreq*3)
2021-11-26T17:05:20.6944035Z             data[sfreq:sfreq+500] = spike
2021-11-26T17:05:20.6944714Z             (detected_peaks, _) = peak_detection._find_peaks(data)
2021-11-26T17:05:20.6945571Z             detected_peaks -= sfreq
2021-11-26T17:05:20.6946219Z             true_peaks.append(np.argmax(spike))
2021-11-26T17:05:20.6946846Z >           assert len(detected_peaks) > 0
2021-11-26T17:05:20.6947358Z E           assert 0 > 0
2021-11-26T17:05:20.6947878Z E            +  where 0 = len(array([], dtype=int64))
2021-11-26T17:05:20.6948228Z 
2021-11-26T17:05:20.6948904Z megspikes/detection/tests/test_detection.py:116: AssertionError
2021-11-26T17:05:20.6949940Z ______________________ test_peaks_detection_details[5-4] _______________________
2021-11-26T17:05:20.6950365Z 
2021-11-26T17:05:20.6951041Z spikes = array([[ 4.44089210e-18, -1.56280785e-04, -2.71164800e-04, ...,
2021-11-26T17:05:20.6951940Z          1.80577577e-04,  1.98549402e-04,  1.33851849e...  [ 3.55271368e-17,  1.27923636e-05,  1.93491824e-05, ...,
2021-11-26T17:05:20.6952713Z         -2.59315165e-05, -2.45977892e-05, -1.43925329e-05]])
2021-11-26T17:05:20.6953211Z prominence = 4, width = 5
2021-11-26T17:05:20.6953548Z 
2021-11-26T17:05:20.6954355Z     @pytest.mark.parametrize('prominence', [1, 2, 4, 7.])
2021-11-26T17:05:20.6955457Z     @pytest.mark.parametrize('width', [1., 5, 10.])
2021-11-26T17:05:20.6960050Z     def test_peaks_detection_details(spikes, prominence, width):
2021-11-26T17:05:20.6960744Z         sfreq = 10_000
2021-11-26T17:05:20.6961293Z         peak_detection = PeakDetection(
2021-11-26T17:05:20.6963482Z             prominence=prominence, width=width, sfreq=sfreq)
2021-11-26T17:05:20.6964136Z         true_peaks = []
2021-11-26T17:05:20.6964606Z         for spike in spikes:
2021-11-26T17:05:20.6965139Z             data = np.zeros(sfreq*3)
2021-11-26T17:05:20.6965715Z             data[sfreq:sfreq+500] = spike
2021-11-26T17:05:20.6966390Z             (detected_peaks, _) = peak_detection._find_peaks(data)
2021-11-26T17:05:20.6967402Z             detected_peaks -= sfreq
2021-11-26T17:05:20.6968026Z             true_peaks.append(np.argmax(spike))
2021-11-26T17:05:20.6968678Z >           assert len(detected_peaks) > 0
2021-11-26T17:05:20.6969198Z E           assert 0 > 0
2021-11-26T17:05:20.6969717Z E            +  where 0 = len(array([], dtype=int64))
2021-11-26T17:05:20.6970091Z 
2021-11-26T17:05:20.6970763Z megspikes/detection/tests/test_detection.py:116: AssertionError
2021-11-26T17:05:20.6971812Z _____________________ test_peaks_detection_details[5-7.0] ______________________
2021-11-26T17:05:20.6972226Z 
2021-11-26T17:05:20.6972933Z spikes = array([[ 4.44089210e-18, -1.56280785e-04, -2.71164800e-04, ...,
2021-11-26T17:05:20.6973846Z          1.80577577e-04,  1.98549402e-04,  1.33851849e...  [ 3.55271368e-17,  1.27923636e-05,  1.93491824e-05, ...,
2021-11-26T17:05:20.6974607Z         -2.59315165e-05, -2.45977892e-05, -1.43925329e-05]])
2021-11-26T17:05:20.6975135Z prominence = 7.0, width = 5
2021-11-26T17:05:20.6975693Z 
2021-11-26T17:05:20.6976623Z     @pytest.mark.parametrize('prominence', [1, 2, 4, 7.])
2021-11-26T17:05:20.6977598Z     @pytest.mark.parametrize('width', [1., 5, 10.])
2021-11-26T17:05:20.6978406Z     def test_peaks_detection_details(spikes, prominence, width):
2021-11-26T17:05:20.6979202Z         sfreq = 10_000
2021-11-26T17:05:20.6979748Z         peak_detection = PeakDetection(
2021-11-26T17:05:20.6980517Z             prominence=prominence, width=width, sfreq=sfreq)
2021-11-26T17:05:20.6981149Z         true_peaks = []
2021-11-26T17:05:20.6981615Z         for spike in spikes:
2021-11-26T17:05:20.6982382Z             data = np.zeros(sfreq*3)
2021-11-26T17:05:20.6982929Z             data[sfreq:sfreq+500] = spike
2021-11-26T17:05:20.6983633Z             (detected_peaks, _) = peak_detection._find_peaks(data)
2021-11-26T17:05:20.6984501Z             detected_peaks -= sfreq
2021-11-26T17:05:20.6985124Z             true_peaks.append(np.argmax(spike))
2021-11-26T17:05:20.6985773Z >           assert len(detected_peaks) > 0
2021-11-26T17:05:20.6986289Z E           assert 0 > 0
2021-11-26T17:05:20.6986795Z E            +  where 0 = len(array([], dtype=int64))
2021-11-26T17:05:20.6987166Z 
2021-11-26T17:05:20.6987840Z megspikes/detection/tests/test_detection.py:116: AssertionError
2021-11-26T17:05:20.6988863Z _____________________ test_peaks_detection_details[10.0-1] _____________________
2021-11-26T17:05:20.6989290Z 
2021-11-26T17:05:20.6989985Z spikes = array([[ 4.44089210e-18, -1.56280785e-04, -2.71164800e-04, ...,
2021-11-26T17:05:20.6990885Z          1.80577577e-04,  1.98549402e-04,  1.33851849e...  [ 3.55271368e-17,  1.27923636e-05,  1.93491824e-05, ...,
2021-11-26T17:05:20.6991649Z         -2.59315165e-05, -2.45977892e-05, -1.43925329e-05]])
2021-11-26T17:05:20.6992178Z prominence = 1, width = 10.0
2021-11-26T17:05:20.6992513Z 
2021-11-26T17:05:20.6993295Z     @pytest.mark.parametrize('prominence', [1, 2, 4, 7.])
2021-11-26T17:05:20.6994329Z     @pytest.mark.parametrize('width', [1., 5, 10.])
2021-11-26T17:05:20.6995193Z     def test_peaks_detection_details(spikes, prominence, width):
2021-11-26T17:05:20.6995826Z         sfreq = 10_000
2021-11-26T17:05:20.6999114Z         peak_detection = PeakDetection(
2021-11-26T17:05:20.7000051Z             prominence=prominence, width=width, sfreq=sfreq)
2021-11-26T17:05:20.7000675Z         true_peaks = []
2021-11-26T17:05:20.7001165Z         for spike in spikes:
2021-11-26T17:05:20.7001696Z             data = np.zeros(sfreq*3)
2021-11-26T17:05:20.7002240Z             data[sfreq:sfreq+500] = spike
2021-11-26T17:05:20.7002946Z             (detected_peaks, _) = peak_detection._find_peaks(data)
2021-11-26T17:05:20.7003881Z             detected_peaks -= sfreq
2021-11-26T17:05:20.7004527Z             true_peaks.append(np.argmax(spike))
2021-11-26T17:05:20.7005176Z >           assert len(detected_peaks) > 0
2021-11-26T17:05:20.7005678Z E           assert 0 > 0
2021-11-26T17:05:20.7006290Z E            +  where 0 = len(array([], dtype=int64))
2021-11-26T17:05:20.7006638Z 
2021-11-26T17:05:20.7007264Z megspikes/detection/tests/test_detection.py:116: AssertionError
2021-11-26T17:05:20.7008216Z _____________________ test_peaks_detection_details[10.0-2] _____________________
2021-11-26T17:05:20.7008606Z 
2021-11-26T17:05:20.7009251Z spikes = array([[ 4.44089210e-18, -1.56280785e-04, -2.71164800e-04, ...,
2021-11-26T17:05:20.7010070Z          1.80577577e-04,  1.98549402e-04,  1.33851849e...  [ 3.55271368e-17,  1.27923636e-05,  1.93491824e-05, ...,
2021-11-26T17:05:20.7010789Z         -2.59315165e-05, -2.45977892e-05, -1.43925329e-05]])
2021-11-26T17:05:20.7011286Z prominence = 2, width = 10.0
2021-11-26T17:05:20.7011596Z 
2021-11-26T17:05:20.7012322Z     @pytest.mark.parametrize('prominence', [1, 2, 4, 7.])
2021-11-26T17:05:20.7013283Z     @pytest.mark.parametrize('width', [1., 5, 10.])
2021-11-26T17:05:20.7014088Z     def test_peaks_detection_details(spikes, prominence, width):
2021-11-26T17:05:20.7014673Z         sfreq = 10_000
2021-11-26T17:05:20.7015196Z         peak_detection = PeakDetection(
2021-11-26T17:05:20.7015883Z             prominence=prominence, width=width, sfreq=sfreq)
2021-11-26T17:05:20.7016472Z         true_peaks = []
2021-11-26T17:05:20.7016924Z         for spike in spikes:
2021-11-26T17:05:20.7017393Z             data = np.zeros(sfreq*3)
2021-11-26T17:05:20.7017925Z             data[sfreq:sfreq+500] = spike
2021-11-26T17:05:20.7018576Z             (detected_peaks, _) = peak_detection._find_peaks(data)
2021-11-26T17:05:20.7019336Z             detected_peaks -= sfreq
2021-11-26T17:05:20.7020135Z             true_peaks.append(np.argmax(spike))
2021-11-26T17:05:20.7020904Z >           assert len(detected_peaks) > 0
2021-11-26T17:05:20.7021398Z E           assert 0 > 0
2021-11-26T17:05:20.7021929Z E            +  where 0 = len(array([], dtype=int64))
2021-11-26T17:05:20.7022299Z 
2021-11-26T17:05:20.7022944Z megspikes/detection/tests/test_detection.py:116: AssertionError
2021-11-26T17:05:20.7024005Z _____________________ test_peaks_detection_details[10.0-4] _____________________
2021-11-26T17:05:20.7024427Z 
2021-11-26T17:05:20.7025128Z spikes = array([[ 4.44089210e-18, -1.56280785e-04, -2.71164800e-04, ...,
2021-11-26T17:05:20.7026019Z          1.80577577e-04,  1.98549402e-04,  1.33851849e...  [ 3.55271368e-17,  1.27923636e-05,  1.93491824e-05, ...,
2021-11-26T17:05:20.7026807Z         -2.59315165e-05, -2.45977892e-05, -1.43925329e-05]])
2021-11-26T17:05:20.7027337Z prominence = 4, width = 10.0
2021-11-26T17:05:20.7027654Z 
2021-11-26T17:05:20.7028460Z     @pytest.mark.parametrize('prominence', [1, 2, 4, 7.])
2021-11-26T17:05:20.7029495Z     @pytest.mark.parametrize('width', [1., 5, 10.])
2021-11-26T17:05:20.7030347Z     def test_peaks_detection_details(spikes, prominence, width):
2021-11-26T17:05:20.7030997Z         sfreq = 10_000
2021-11-26T17:05:20.7031564Z         peak_detection = PeakDetection(
2021-11-26T17:05:20.7032301Z             prominence=prominence, width=width, sfreq=sfreq)
2021-11-26T17:05:20.7032935Z         true_peaks = []
2021-11-26T17:05:20.7033400Z         for spike in spikes:
2021-11-26T17:05:20.7033933Z             data = np.zeros(sfreq*3)
2021-11-26T17:05:20.7034501Z             data[sfreq:sfreq+500] = spike
2021-11-26T17:05:20.7035179Z             (detected_peaks, _) = peak_detection._find_peaks(data)
2021-11-26T17:05:20.7036273Z             detected_peaks -= sfreq
2021-11-26T17:05:20.7036929Z             true_peaks.append(np.argmax(spike))
2021-11-26T17:05:20.7037550Z >           assert len(detected_peaks) > 0
2021-11-26T17:05:20.7038068Z E           assert 0 > 0
2021-11-26T17:05:20.7038591Z E            +  where 0 = len(array([], dtype=int64))
2021-11-26T17:05:20.7038969Z 
2021-11-26T17:05:20.7039615Z megspikes/detection/tests/test_detection.py:116: AssertionError
2021-11-26T17:05:20.7040678Z ____________________ test_peaks_detection_details[10.0-7.0] ____________________
2021-11-26T17:05:20.7041105Z 
2021-11-26T17:05:20.7041774Z spikes = array([[ 4.44089210e-18, -1.56280785e-04, -2.71164800e-04, ...,
2021-11-26T17:05:20.7042675Z          1.80577577e-04,  1.98549402e-04,  1.33851849e...  [ 3.55271368e-17,  1.27923636e-05,  1.93491824e-05, ...,
2021-11-26T17:05:20.7043453Z         -2.59315165e-05, -2.45977892e-05, -1.43925329e-05]])
2021-11-26T17:05:20.7043962Z prominence = 7.0, width = 10.0
2021-11-26T17:05:20.7044300Z 
2021-11-26T17:05:20.7045112Z     @pytest.mark.parametrize('prominence', [1, 2, 4, 7.])
2021-11-26T17:05:20.7046119Z     @pytest.mark.parametrize('width', [1., 5, 10.])
2021-11-26T17:05:20.7046986Z     def test_peaks_detection_details(spikes, prominence, width):
2021-11-26T17:05:20.7047637Z         sfreq = 10_000
2021-11-26T17:05:20.7048187Z         peak_detection = PeakDetection(
2021-11-26T17:05:20.7048950Z             prominence=prominence, width=width, sfreq=sfreq)
2021-11-26T17:05:20.7049577Z         true_peaks = []
2021-11-26T17:05:20.7050041Z         for spike in spikes:
2021-11-26T17:05:20.7050569Z             data = np.zeros(sfreq*3)
2021-11-26T17:05:20.7051131Z             data[sfreq:sfreq+500] = spike
2021-11-26T17:05:20.7051811Z             (detected_peaks, _) = peak_detection._find_peaks(data)
2021-11-26T17:05:20.7052651Z             detected_peaks -= sfreq
2021-11-26T17:05:20.7053292Z             true_peaks.append(np.argmax(spike))
2021-11-26T17:05:20.7053917Z >           assert len(detected_peaks) > 0
2021-11-26T17:05:20.7054437Z E           assert 0 > 0
2021-11-26T17:05:20.7054940Z E            +  where 0 = len(array([], dtype=int64))
2021-11-26T17:05:20.7055308Z 
2021-11-26T17:05:20.7055976Z megspikes/detection/tests/test_detection.py:116: AssertionError
2021-11-26T17:05:20.7056758Z =============================== warnings summary ===============================
2021-11-26T17:05:20.7058070Z ../../../../../opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/alphacsc/utils/compute_constants.py:29
2021-11-26T17:05:20.7060280Z   /opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/alphacsc/utils/compute_constants.py:29: NumbaPerformanceWarning: np.dot() is faster on contiguous arrays, called on (array(float64, 1d, A), array(float64, 1d, A))
2021-11-26T17:05:20.7061701Z     uv[k, n_channels:])
2021-11-26T17:05:20.7062016Z 
2021-11-26T17:05:20.7063610Z ../../../../../opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/alphacsc/utils/compute_constants.py:35
2021-11-26T17:05:20.7065900Z   /opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/alphacsc/utils/compute_constants.py:35: NumbaPerformanceWarning: np.dot() is faster on contiguous arrays, called on (array(float64, 2d, A), array(float64, 2d, A))
2021-11-26T17:05:20.7067423Z     DtD *= np.dot(u, u.T).reshape(n_atoms, n_atoms, 1)
2021-11-26T17:05:20.7067835Z 
2021-11-26T17:05:20.7068830Z ../../../../../opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/nilearn/datasets/__init__.py:96
2021-11-26T17:05:20.7071132Z   /opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/nilearn/datasets/__init__.py:96: FutureWarning: Fetchers from the nilearn.datasets module will be updated in version 0.9 to return python strings instead of bytes and Pandas dataframes instead of Numpy arrays.
2021-11-26T17:05:20.7072768Z     "Numpy arrays.", FutureWarning)
2021-11-26T17:05:20.7073161Z 
2021-11-26T17:05:20.7073785Z megspikes/casemanager/tests/test_casemanager.py: 1 warning
2021-11-26T17:05:20.7074832Z megspikes/database/tests/test_database.py: 1 warning
2021-11-26T17:05:20.7075679Z megspikes/detection/tests/test_detection.py: 1 warning
2021-11-26T17:05:20.7076690Z megspikes/localization/tests/test_localization.py: 1 warning
2021-11-26T17:05:20.7077609Z megspikes/simulation/tests/test_simulation.py: 3 warnings
2021-11-26T17:05:20.7078524Z megspikes/tests/test_pipeline.py: 1 warning
2021-11-26T17:05:20.7079162Z megspikes/tests/test_utils.py: 1 warning
2021-11-26T17:05:20.7079937Z megspikes/visualization/tests/test_visualization.py: 1 warning
2021-11-26T17:05:20.7081709Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:189: DeprecationWarning: sfreq cannot be set directly. Please use method inst.resample() instead. This warning will turn into an error after 0.24
2021-11-26T17:05:20.7083231Z     info['sfreq'] = 1000  # Hz
2021-11-26T17:05:20.7083539Z 
2021-11-26T17:05:20.7084214Z megspikes/casemanager/tests/test_casemanager.py::test_new_case
2021-11-26T17:05:20.7086766Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:297: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_casemanager/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-26T17:05:20.7089172Z     simulation.save(str(fraw2), overwrite=True)
2021-11-26T17:05:20.7089630Z 
2021-11-26T17:05:20.7090295Z megspikes/casemanager/tests/test_casemanager.py::test_new_case
2021-11-26T17:05:20.7091250Z megspikes/casemanager/tests/test_casemanager.py::test_new_case
2021-11-26T17:05:20.7092134Z megspikes/database/tests/test_database.py::test_database
2021-11-26T17:05:20.7093146Z megspikes/detection/tests/test_detection.py::test_ica_decomposition[grad]
2021-11-26T17:05:20.7094649Z megspikes/localization/tests/test_localization.py::test_forward_model_setup[mag-oct5-102-1884]
2021-11-26T17:05:20.7095649Z megspikes/simulation/tests/test_simulation.py::test_simulation
2021-11-26T17:05:20.7096546Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-26T17:05:20.7098062Z megspikes/tests/test_utils.py::test_prepare_data[1000.0-filtering0-None-True]
2021-11-26T17:05:20.7099286Z megspikes/visualization/tests/test_visualization.py::test_detections_viewer
2021-11-26T17:05:20.7100536Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:152: UserWarning: No tsss fif file
2021-11-26T17:05:20.7101520Z     warnings.warn("No tsss fif file")
2021-11-26T17:05:20.7101902Z 
2021-11-26T17:05:20.7102539Z megspikes/casemanager/tests/test_casemanager.py::test_new_case
2021-11-26T17:05:20.7103446Z megspikes/database/tests/test_database.py::test_database
2021-11-26T17:05:20.7104402Z megspikes/detection/tests/test_detection.py::test_ica_decomposition[grad]
2021-11-26T17:05:20.7105945Z megspikes/localization/tests/test_localization.py::test_forward_model_setup[mag-oct5-102-1884]
2021-11-26T17:05:20.7107042Z megspikes/simulation/tests/test_simulation.py::test_simulation
2021-11-26T17:05:20.7107986Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-26T17:05:20.7109334Z megspikes/tests/test_utils.py::test_prepare_data[1000.0-filtering0-None-True]
2021-11-26T17:05:20.7110458Z megspikes/visualization/tests/test_visualization.py::test_detections_viewer
2021-11-26T17:05:20.7111784Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:214: UserWarning: Using ico4 instead of ico5 for BEM model
2021-11-26T17:05:20.7113104Z     warnings.warn('Using ico4 instead of ico5 for BEM model')
2021-11-26T17:05:20.7113583Z 
2021-11-26T17:05:20.7114247Z megspikes/casemanager/tests/test_casemanager.py::test_new_case
2021-11-26T17:05:20.7117174Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_casemanager/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-26T17:05:20.7119184Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-26T17:05:20.7119682Z 
2021-11-26T17:05:20.7120354Z megspikes/casemanager/tests/test_casemanager.py::test_new_case
2021-11-26T17:05:20.7122924Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_casemanager/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-26T17:05:20.7124902Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-26T17:05:20.7125388Z 
2021-11-26T17:05:20.7125978Z megspikes/database/tests/test_database.py::test_database
2021-11-26T17:05:20.7128457Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:297: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_database/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-26T17:05:20.7131767Z     simulation.save(str(fraw2), overwrite=True)
2021-11-26T17:05:20.7132228Z 
2021-11-26T17:05:20.7132857Z megspikes/database/tests/test_database.py::test_database
2021-11-26T17:05:20.7135386Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_database/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-26T17:05:20.7137367Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-26T17:05:20.7137855Z 
2021-11-26T17:05:20.7138474Z megspikes/database/tests/test_database.py::test_database
2021-11-26T17:05:20.7140920Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_database/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-26T17:05:20.7143073Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-26T17:05:20.7143565Z 
2021-11-26T17:05:20.7144188Z megspikes/database/tests/test_database.py::test_database
2021-11-26T17:05:20.7146008Z   /opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/xarray/backends/plugins.py:102: DeprecationWarning: SelectableGroups dict interface is deprecated. Use select.
2021-11-26T17:05:20.7147459Z     entrypoints = entry_points().get("xarray.backends", ())
2021-11-26T17:05:20.7147947Z 
2021-11-26T17:05:20.7148652Z megspikes/detection/tests/test_detection.py::test_ica_decomposition[grad]
2021-11-26T17:05:20.7151233Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:297: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_detection/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-26T17:05:20.7153671Z     simulation.save(str(fraw2), overwrite=True)
2021-11-26T17:05:20.7154100Z 
2021-11-26T17:05:20.7154812Z megspikes/detection/tests/test_detection.py::test_ica_decomposition[grad]
2021-11-26T17:05:20.7157709Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_detection/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-26T17:05:20.7159832Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-26T17:05:20.7160316Z 
2021-11-26T17:05:20.7161004Z megspikes/detection/tests/test_detection.py::test_ica_decomposition[grad]
2021-11-26T17:05:20.7163601Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_detection/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-26T17:05:20.7181397Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-26T17:05:20.7181949Z 
2021-11-26T17:05:20.7182699Z megspikes/detection/tests/test_detection.py::test_ica_decomposition[grad]
2021-11-26T17:05:20.7183727Z megspikes/detection/tests/test_detection.py::test_ica_decomposition[mag]
2021-11-26T17:05:20.7184802Z megspikes/detection/tests/test_detection.py::test_alphacsc_decomposition[grad]
2021-11-26T17:05:20.7185910Z megspikes/detection/tests/test_detection.py::test_alphacsc_decomposition[mag]
2021-11-26T17:05:20.7186996Z megspikes/detection/tests/test_detection.py::test_alphacsc_events_selection[grad]
2021-11-26T17:05:20.7188084Z megspikes/detection/tests/test_detection.py::test_alphacsc_events_selection[mag]
2021-11-26T17:05:20.7190595Z   /home/runner/work/megspikes/megspikes/megspikes/utils.py:115: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_detection/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-26T17:05:20.7192954Z     data = mne.io.read_raw_fif(self.data_file, preload=True)
2021-11-26T17:05:20.7193428Z 
2021-11-26T17:05:20.7194070Z megspikes/detection/tests/test_detection.py::test_peaks_detection
2021-11-26T17:05:20.7195316Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:749: UserWarning: ica_component_selection values are all the same
2021-11-26T17:05:20.7196800Z     f"{da_name} values are all the same")
2021-11-26T17:05:20.7197166Z 
2021-11-26T17:05:20.7198616Z megspikes/localization/tests/test_localization.py::test_forward_model_setup[mag-oct5-102-1884]
2021-11-26T17:05:20.7201321Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:297: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_localization/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-26T17:05:20.7203761Z     simulation.save(str(fraw2), overwrite=True)
2021-11-26T17:05:20.7204218Z 
2021-11-26T17:05:20.7205427Z megspikes/localization/tests/test_localization.py::test_forward_model_setup[mag-oct5-102-1884]
2021-11-26T17:05:20.7208103Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_localization/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-26T17:05:20.7210107Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-26T17:05:20.7210591Z 
2021-11-26T17:05:20.7211782Z megspikes/localization/tests/test_localization.py::test_forward_model_setup[mag-oct5-102-1884]
2021-11-26T17:05:20.7214578Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_localization/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-26T17:05:20.7216578Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-26T17:05:20.7217038Z 
2021-11-26T17:05:20.7217830Z megspikes/localization/tests/test_localization.py::test_clusters_localization
2021-11-26T17:05:20.7218854Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-26T17:05:20.7219818Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-26T17:05:20.7221662Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:744: UserWarning: cluster_properties.loc[{'cluster_property': ['selected_for_iz_prediction']}] values are all the same
2021-11-26T17:05:20.7223000Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-26T17:05:20.7223429Z 
2021-11-26T17:05:20.7224170Z megspikes/localization/tests/test_localization.py::test_clusters_localization
2021-11-26T17:05:20.7225175Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-26T17:05:20.7226151Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-26T17:05:20.7227646Z   /home/runner/work/megspikes/megspikes/megspikes/localization/localization.py:689: UserWarning: No clusters selected for IZ prediction.All clusters were selected instead.
2021-11-26T17:05:20.7229210Z     warnings.warn('No clusters selected for IZ prediction.'
2021-11-26T17:05:20.7229721Z 
2021-11-26T17:05:20.7230371Z megspikes/simulation/tests/test_simulation.py::test_simulation
2021-11-26T17:05:20.7232872Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:297: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_simulation/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-26T17:05:20.7235368Z     simulation.save(str(fraw2), overwrite=True)
2021-11-26T17:05:20.7235823Z 
2021-11-26T17:05:20.7236632Z megspikes/simulation/tests/test_simulation.py::test_simulation
2021-11-26T17:05:20.7239162Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_simulation/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-26T17:05:20.7241392Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-26T17:05:20.7241869Z 
2021-11-26T17:05:20.7242503Z megspikes/simulation/tests/test_simulation.py::test_simulation
2021-11-26T17:05:20.7245006Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_simulation/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-26T17:05:20.7246980Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-26T17:05:20.7247454Z 
2021-11-26T17:05:20.7248075Z megspikes/simulation/tests/test_simulation.py::test_simulation
2021-11-26T17:05:20.7250694Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/tests/test_simulation.py:25: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_simulation/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-26T17:05:20.7253150Z     raw_fif = mne.io.read_raw_fif(sim.case_manager.fif_file)
2021-11-26T17:05:20.7253622Z 
2021-11-26T17:05:20.7254265Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-26T17:05:20.7256769Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:297: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_pipeline/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-26T17:05:20.7259172Z     simulation.save(str(fraw2), overwrite=True)
2021-11-26T17:05:20.7259600Z 
2021-11-26T17:05:20.7260245Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-26T17:05:20.7262772Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_pipeline/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-26T17:05:20.7264754Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-26T17:05:20.7265231Z 
2021-11-26T17:05:20.7266469Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-26T17:05:20.7269077Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_pipeline/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-26T17:05:20.7271038Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-26T17:05:20.7271514Z 
2021-11-26T17:05:20.7272171Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-26T17:05:20.7273088Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-26T17:05:20.7274022Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-26T17:05:20.7275122Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-26T17:05:20.7276174Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-26T17:05:20.7277130Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-26T17:05:20.7278056Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-26T17:05:20.7278967Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-26T17:05:20.7281391Z   /home/runner/work/megspikes/megspikes/megspikes/utils.py:115: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_pipeline/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-26T17:05:20.7283716Z     data = mne.io.read_raw_fif(self.data_file, preload=True)
2021-11-26T17:05:20.7284194Z 
2021-11-26T17:05:20.7284842Z megspikes/tests/test_pipeline.py::test_aspire_alphacsc_pipeline
2021-11-26T17:05:20.7286898Z   /opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/sklearn/decomposition/_fastica.py:119: ConvergenceWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
2021-11-26T17:05:20.7288384Z     ConvergenceWarning,
2021-11-26T17:05:20.7288775Z 
2021-11-26T17:05:20.7289417Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-26T17:05:20.7290369Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-26T17:05:20.7292117Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:744: UserWarning: spike.loc[{'detection_property': 'cluster'}] values are all the same
2021-11-26T17:05:20.7293311Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-26T17:05:20.7293715Z 
2021-11-26T17:05:20.7294363Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-26T17:05:20.7295344Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-26T17:05:20.7297108Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:744: UserWarning: cluster_properties.loc[{'cluster_property': 'sensors'}] values are all the same
2021-11-26T17:05:20.7298261Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-26T17:05:20.7298649Z 
2021-11-26T17:05:20.7299244Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-26T17:05:20.7300361Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-26T17:05:20.7302057Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:744: UserWarning: cluster_properties.loc[{'cluster_property': ['cluster_id']}] values are all the same
2021-11-26T17:05:20.7303309Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-26T17:05:20.7303733Z 
2021-11-26T17:05:20.7304361Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-26T17:05:20.7305328Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-26T17:05:20.7307013Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:744: UserWarning: cluster_properties.loc[{'cluster_property': ['sensors']}] values are all the same
2021-11-26T17:05:20.7308234Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-26T17:05:20.7308661Z 
2021-11-26T17:05:20.7309295Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-26T17:05:20.7310251Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-26T17:05:20.7311980Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:744: UserWarning: cluster_properties.loc[{'cluster_property': ['time_baseline']}] values are all the same
2021-11-26T17:05:20.7313257Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-26T17:05:20.7313773Z 
2021-11-26T17:05:20.7314393Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-26T17:05:20.7315367Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-26T17:05:20.7317196Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:744: UserWarning: cluster_properties.loc[{'cluster_property': ['time_slope']}] values are all the same
2021-11-26T17:05:20.7318432Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-26T17:05:20.7318861Z 
2021-11-26T17:05:20.7319573Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-26T17:05:20.7320455Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-26T17:05:20.7322032Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:744: UserWarning: cluster_properties.loc[{'cluster_property': ['time_peak']}] values are all the same
2021-11-26T17:05:20.7323184Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-26T17:05:20.7323573Z 
2021-11-26T17:05:20.7324143Z megspikes/tests/test_pipeline.py::test_iz_prediction_pipeline
2021-11-26T17:05:20.7325040Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-26T17:05:20.7326530Z   /home/runner/work/megspikes/megspikes/megspikes/localization/localization.py:699: RuntimeWarning: invalid value encountered in true_divide
2021-11-26T17:05:20.7327568Z     i, ii, :, peak[ii]].max()
2021-11-26T17:05:20.7327873Z 
2021-11-26T17:05:20.7328555Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-26T17:05:20.7330459Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:744: UserWarning: alphacsc_atoms_library_properties.loc[{'atoms_library_property': 'library_cluster'}] values are all the same
2021-11-26T17:05:20.7331869Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-26T17:05:20.7332258Z 
2021-11-26T17:05:20.7332897Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-26T17:05:20.7334572Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:744: UserWarning: alphacsc_atoms_library_properties.loc[{'atoms_library_property': 'library_sensors'}] values are all the same
2021-11-26T17:05:20.7335809Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-26T17:05:20.7336196Z 
2021-11-26T17:05:20.7336831Z megspikes/tests/test_pipeline.py::test_read_results_iz_prediction_pipeline
2021-11-26T17:05:20.7338466Z   /home/runner/work/megspikes/megspikes/megspikes/database/database.py:744: UserWarning: alphacsc_atoms_library_properties.loc[{'atoms_library_property': 'library_run'}] values are all the same
2021-11-26T17:05:20.7339689Z     f"{da_name}.loc[{selection}] values are all the same")
2021-11-26T17:05:20.7340076Z 
2021-11-26T17:05:20.7341325Z megspikes/tests/test_utils.py::test_prepare_data[1000.0-filtering0-None-True]
2021-11-26T17:05:20.7343894Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:297: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_utils/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-26T17:05:20.7346270Z     simulation.save(str(fraw2), overwrite=True)
2021-11-26T17:05:20.7346720Z 
2021-11-26T17:05:20.7347807Z megspikes/tests/test_utils.py::test_prepare_data[1000.0-filtering0-None-True]
2021-11-26T17:05:20.7350353Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_utils/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-26T17:05:20.7352276Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-26T17:05:20.7352846Z 
2021-11-26T17:05:20.7353938Z megspikes/tests/test_utils.py::test_prepare_data[1000.0-filtering0-None-True]
2021-11-26T17:05:20.7356576Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_utils/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-26T17:05:20.7358526Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-26T17:05:20.7358999Z 
2021-11-26T17:05:20.7359720Z megspikes/visualization/tests/test_visualization.py::test_detections_viewer
2021-11-26T17:05:20.7362352Z   /home/runner/work/megspikes/megspikes/megspikes/simulation/simulation.py:297: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_visualization/sample/MEG_data/tsss_mc_artefact_correction/sample_raw_tsss_mc_art_corr.fif) does not conform to MNE naming conventions. All raw files should end with raw.fif, raw_sss.fif, raw_tsss.fif, _meg.fif, _eeg.fif, _ieeg.fif, raw.fif.gz, raw_sss.fif.gz, raw_tsss.fif.gz, _meg.fif.gz, _eeg.fif.gz or _ieeg.fif.gz
2021-11-26T17:05:20.7364800Z     simulation.save(str(fraw2), overwrite=True)
2021-11-26T17:05:20.7365243Z 
2021-11-26T17:05:20.7365983Z megspikes/visualization/tests/test_visualization.py::test_detections_viewer
2021-11-26T17:05:20.7370266Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_visualization/sample/forward_model/forward_ico5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-26T17:05:20.7372326Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-26T17:05:20.7372809Z 
2021-11-26T17:05:20.7373554Z megspikes/visualization/tests/test_visualization.py::test_detections_viewer
2021-11-26T17:05:20.7376204Z   /home/runner/work/megspikes/megspikes/megspikes/casemanager/casemanager.py:232: RuntimeWarning: This filename (/home/runner/work/megspikes/megspikes/tests_data/test_visualization/sample/forward_model/forward_oct5.fif) does not conform to MNE naming conventions. All forward files should end with -fwd.fif, -fwd.fif.gz, _fwd.fif or _fwd.fif.gz
2021-11-26T17:05:20.7378155Z     mne.write_forward_solution(fwd_name, fwd, overwrite=True)
2021-11-26T17:05:20.7378635Z 
2021-11-26T17:05:20.7379503Z -- Docs: https://docs.pytest.org/en/stable/warnings.html
2021-11-26T17:05:20.7380089Z 
2021-11-26T17:05:20.7380860Z ---------- coverage: platform linux, python 3.7.12-final-0 -----------
2021-11-26T17:05:20.7381634Z Coverage XML written to file coverage.xml
2021-11-26T17:05:20.7382055Z 
2021-11-26T17:05:20.7382528Z =========================== short test summary info ============================
2021-11-26T17:05:20.7383349Z XFAIL megspikes/localization/tests/test_localization.py::test_fast_rap_music
2021-11-26T17:05:20.7384443Z XFAIL megspikes/localization/tests/test_localization.py::test_fast_rap_music_details
2021-11-26T17:05:20.7386047Z FAILED megspikes/detection/tests/test_detection.py::test_peaks_detection_details[1.0-1]
2021-11-26T17:05:20.7387570Z FAILED megspikes/detection/tests/test_detection.py::test_peaks_detection_details[1.0-2]
2021-11-26T17:05:20.7389042Z FAILED megspikes/detection/tests/test_detection.py::test_peaks_detection_details[1.0-4]
2021-11-26T17:05:20.7390516Z FAILED megspikes/detection/tests/test_detection.py::test_peaks_detection_details[1.0-7.0]
2021-11-26T17:05:20.7391971Z FAILED megspikes/detection/tests/test_detection.py::test_peaks_detection_details[5-1]
2021-11-26T17:05:20.7393445Z FAILED megspikes/detection/tests/test_detection.py::test_peaks_detection_details[5-2]
2021-11-26T17:05:20.7394908Z FAILED megspikes/detection/tests/test_detection.py::test_peaks_detection_details[5-4]
2021-11-26T17:05:20.7396491Z FAILED megspikes/detection/tests/test_detection.py::test_peaks_detection_details[5-7.0]
2021-11-26T17:05:20.7398148Z FAILED megspikes/detection/tests/test_detection.py::test_peaks_detection_details[10.0-1]
2021-11-26T17:05:20.7399683Z FAILED megspikes/detection/tests/test_detection.py::test_peaks_detection_details[10.0-2]
2021-11-26T17:05:20.7401035Z FAILED megspikes/detection/tests/test_detection.py::test_peaks_detection_details[10.0-4]
2021-11-26T17:05:20.7402658Z FAILED megspikes/detection/tests/test_detection.py::test_peaks_detection_details[10.0-7.0]
2021-11-26T17:05:20.7403592Z ====== 12 failed, 96 passed, 2 xfailed, 97 warnings in 669.95s (0:11:09) =======
2021-11-26T17:05:21.6619786Z ##[error]Process completed with exit code 1.
2021-11-26T17:05:21.6744603Z Post job cleanup.
2021-11-26T17:05:21.8136723Z [command]/usr/bin/git version
2021-11-26T17:05:21.8195937Z git version 2.34.0
2021-11-26T17:05:21.8237809Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2021-11-26T17:05:21.8283438Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :
2021-11-26T17:05:21.8598176Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2021-11-26T17:05:21.8627894Z http.https://github.com/.extraheader
2021-11-26T17:05:21.8639227Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2021-11-26T17:05:21.8682693Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :
2021-11-26T17:05:21.9041434Z Cleaning up orphan processes

<\details>

Prevent overwriting the pipeline results

Running pipe.fit_transform(None) when the results dataset already exists causes the overwriting of the existing dataset with the new one.

Ensure detections exist before clustering

Ensure that there are detected events when reading detection results here.

assert sum(mask) == 0, 'no detected events'

Wrong shape of the variable to write in evoked

I have an error when I am running the following code:

pipe = read_detection_iz_prediction_pipeline(case, params)

detection_results = xr.open_dataset(case.dataset)
raw = mne.io.read_raw_fif(case.fif_file)

clusters, raw = pipe.fit_transform((detection_results, raw.copy()))

Error details:

   def check_and_write_to_dataset(ds: xr.Dataset, da_name: str,
                                   variable: np.ndarray,
                                   selection: Union[Dict[Any, Union[
                                       str, List[str]]], None] = None
                                   ) -> None:
        # NOTE: there is no output, operation is done inplace
        if not isinstance(da_name, str):
            raise RuntimeError(f"{da_name} has type {type(da_name)}")
        assert da_name in ds.data_vars, (
            f"{da_name} not in dataset")
    
        if isinstance(selection, dict):
>           assert ds[da_name].loc[selection].shape == variable.shape, (
                f"Wrong shape of the variable to write in {da_name}")
E           AssertionError: Wrong shape of the variable to write in evoked

../database/database.py:768: AssertionError

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