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PTE is an open-source software package for working with electrophysiologicaldata

PTE builds upon the packagesMNE andMNE-BIDS.

To install the latest stable release, simply type:

$ pip install pte

To install the latest development version, first clone this repository usinggit:

$ git clone https://github.com/richardkoehler/pte

Use the package managerconda to set up anew working environment. To do so navigate to the PTE root directory in yourterminal and type:

$ conda env create -f env.yml

This will set up a new conda environment calledpte.

To activate the environment then type:

$ conda activate pte

If you want to install pte-stats into another existing environment, type:

$ pip install -e.

importpte

Please feel free to contribute yourselves or to open anissue when youencounter a bug or would like to add a new feature.

For any minor additions or bugfixes, you may simply create apull request.

For any major changes, make sure to open anissue first. When you thencreate a pull request, be sure tolink the pull request to the open issue inorder to close the issue automatically after merging.

To contribute yourselves, consider installing the full conda developmentenvironment to include such tools as black, pylint and isort:

$ conda env create -f env_dev.yml$ conda activate pte-dev

Continuous Integration (CI) including automated testing are set up.

PTE is licensed under theMIT license.