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SCROLL: Automatically generates documentation and unit-tests for python programs

    2021.11.17

Maintainers
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SCROLL: Automatically generates documentation and unit-tests for python programs

Built with Data processing programs in mind

PyPI version Downloads Python 3.6+ Code style: black

How it works

This tool monitors your function calls and returns while you "exercise" you program (i.e run functional tests). It will collect this information (traces), record the order in which your functions run and generate documentation / tests using that information.

Design concept

The final goal is to enable a developer/user browser through documentation that flows in the order in which functions in the program run, hence the name SCROLL.

Installation

pip install scroll

To install using wheel files, Check in Distribution files

Example Usage

Lets say your file which contains the main entry function is called main.py

An example main file with an entry function

# main.py

def run():
    '''this is your singular entry function'''
    # your code here


if __name__ == '__main__':
    run()

Run the file using scroll on bash

scroll main.py

How about some guidelines?

  • There should be only one main entry function in your code

To-Do

  • add creating of url with class name / func name ancored on it
  • add creating of SCROLL.md that has scroll of all functions

Contributing

To get started contributing, visit the CONTRIBUTING GUIDE

Contributors and acknowledgment

  1. Edison Abahurire simicode

Similar Libraries that do Runtime-Introspection:

  1. pythoscope for Auto unit-test generation
  2. auger for Auto Unit-test generation
  3. MonkeyType for Auto Type hinting / Annotation
  4. hypothesis for Auto test-case generation

License

MIT

Credits

  • MonkeyType: When I got this idea, My first option was to just plagiarise their code ;) I also learned a lot from issue-conversations with @carljm.
  • Flit which this wonderful library is packaged with.

Keywords

FAQs


Did you know?

Socket installs a GitHub app to automatically flag issues on every pull request and report the health of your dependencies. Find out what is inside your node modules and prevent malicious activity before you update the dependencies.

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