[Numpy-discussion] Should I introduce a new friendly and efficient way to running and debugging numpy test case?

[ChunLin Fang]

Hi, everyone!



I'm Qiyu8 <https://github.com/Qiyu8>, Currently, Numpy recommend a command
line method to run test case as demonstrated in Testing Guidelines
<https://numpy.org/devdocs/reference/testing.html#testing-guidelines> ,Which
is heavy and inconvenient, It's also a little painful if test cases can not
debug in a visualize way, I happened to find an easier way to running and
debugging numpy test case as below:

*1.Download VS Code **here <https://code.visualstudio.com/Download>.*

*2.Open numpy source folder. File -> Open Folder.*
[image: image.png]

*3.Install the Python extension from your extensions:*
[image: image.png]

*4.Configuring Tests: Pytest*

The VS Code Python extension supports unit tests as well as *pytest*.
Here's how to enable the framework:

Open *Command Palette (*ctrl +shift +P) and start typing ‘python: configure
tests.’ It will display a list of available python linters. You can add any
of the settings to your user settings.json file (opened with the *File* >
*Preferences* > *Settings)*

[image: image.png]

Edit the settings.json file like this:

{

    "python.pythonPath": "C:\\Python36\\python.exe",

    "python.linting.pylintEnabled": true,

    "python.linting.enabled": true,

    "python.testing.unittestEnabled": false,

    "python.testing.nosetestsEnabled": false,

    "python.testing.pytestEnabled": true,

    "python.testing.pytestArgs": [

        "./numpy/tests/",

        "./numpy/core/tests/"

    ]

}

Click "Discover Tests"

[image: image.png]

Then you can running and debugging any test case that you want.

[image: image.png]
[image: image.png]

The fallback of this method is that you have to rebuild numpy before
execute testcase if you changed numpy's source code.
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