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mne-tools / mne-python / 13784 / 5
91%
master: 91%

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DEFAULT BRANCH: master
Ran 25 Nov 2019 03:32PM UTC
Files 3
Run time 0s
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02 Aug 2017 02:53PM UTC coverage: 89.908% (+60.8%) from 29.082%
PYTHON_VERSION=3.5 TEST_LOCATION=install MNE_STIM_CHANNEL=STI101 CONDA_DEPENDENCIES="numpy scipy matplotlib pandas scikit-learn h5py pillow statsmodels" PIP_DEPENDENCIES="nitime joblib nibabel codecov nose-timer" MNE_DIRS=". beamformer channels commands connectivity datasets decoding forward gui inverse_sparse io"

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larsoner
[MRG] Fixes to CSP and example. (#4435)

* Fixes to CSP and example.

* Get rid of warnings.

* Handle sklearn deprecations.

* Fix.

* Fix.

* Move imports to the top.

152 of 184 branches covered (82.61%)

294 of 327 relevant lines covered (89.91%)

4.5 hits per line

Source Files on job 13784.5 (PYTHON_VERSION=3.5 TEST_LOCATION=install MNE_STIM_CHANNEL=STI101 CONDA_DEPENDENCIES="numpy scipy matplotlib pandas scikit-learn h5py pillow statsmodels" PIP_DEPENDENCIES="nitime joblib nibabel codecov nose-timer" MNE_DIRS=". beamformer channels commands connectivity datasets decoding forward gui inverse_sparse io")
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  • Prev Job for DEPS=nodata MNE_DONTWRITE_HOME=true MNE_FORCE_SERIAL=true MNE_SKIP_NETWORK_TEST=1 CONDA_DEPENDENCIES="numpy scipy matplotlib sphinx" PIP_DEPENDENCIES="flake8 numpydoc codespell git+git://github.com/PyCQA/pydocstyle.git codecov nose-timer nose-faulthandler" on master (#12946.6)
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