MSlice is a tool for performing slices and cuts of multi-dimensional data produced by Mantid.

The current MSlice documentation can be viewed at

http://mantidproject.github.io/mslice

The following setup steps are required regardless of the environment:

• install mantid from either http://download.mantidproject.org or yum/apt repositories (nightly on Linux)
• clone this repository

To develop purely on the command line then simply use your favourite editor and run either

• mslicedevel.bat (Windows) or
• ./mslicedevel.sh (Linux)

Please note that you may have to update the path to your Mantid installation in the file first if you are not using a Mantid conda environment. For mslicedevel.bat one option is to set the path to your conda installation in 'CONDAPATH' and then simply run the batch file by double-clicking on it.

Mantid must be installed prior to running this setup.

To set up the PyCharm IDE first open PyCharm and select File->Open Project. Select the cloned mslice directory and select open. The project layout should be displayed. The first run may take some time to open while PyCharm parses the structure.

You will also need to edit the run configurations:

• The startup script is start_mslice.py.
• The bin directory of an installed version of Mantid must be on the PATH.
• Set the environment variable QT_QPA_PLATFORM_PLUGIN_PATH to the directory with the QT plugins from the Mantid installation MantidInstall/plugins/qt5.
• If you're developing on Windows, the Python interpreter used must be the one shipped with the Mantid installation MantidInstall/bin/python.exe.
• If you're developing on Ubuntu, set the Python Interpreter path to /usr/bin/python3.6

You can now also develop MSlice using a Mantid conda environment. First install Mantid using conda env create -f mslice-developer.yml, then add this interpreter by going to the File->Settings in PyCharm, then Project: mslice -> Python Interpreter, click the cog on the right side to add an existing interpreter and select Conda and Python 3.10 (mantidnightly). Then go to Run -> Edit Configurations and create new configuration with this interpreter. Specify start_mslice.py as the startup script.

Optionally, you can also install pre-commit locally to ensure formatting issues are resolved when committing:

pre-commit install

To run the unit tests in the MSlice repository, you can run them from PyCharm or from the command line.

To run them from PyCharm, create a pytest configuration and specify the Target as Custom. Enter the following configuration:

• Additional Arguments can be left empty to run all tests, or you can specify a test name.
• Python Interpreter should be your mantidnightly python executable
• Working directory should be the root of your Mslice repository

To run them from the command line, make sure you have your conda developer environment active, and cd to the root of this repository. You can then run a test using the following command:

pytest <test_name>

To check the coverage of all the tests in MSlice, you can run the following commands:

coverage run -m pytest
coverage report

Every night the MSlice unit tests are run automatically using the latest nightly conda packages for mantid and mantidqt, as well as the main branch of MSlice. If the unit tests run successfully, and if changes have been made to the main MSlice branch within the last 24 hours, a new MSlice conda package labelled nightly is created and uploaded to the mantid conda channel.