https://github.com/pseudoincorrect/cpython_testing_framework

Template for testing (integration test) C code with cpython
https://github.com/pseudoincorrect/cpython_testing_framework

c cpython python template

Last synced: 3 months ago
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Template for testing (integration test) C code with cpython

• Host: GitHub
• URL: https://github.com/pseudoincorrect/cpython_testing_framework
• Owner: pseudoincorrect
• Created: 2019-03-19T18:44:22.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-03-20T09:12:35.000Z (over 6 years ago)
• Last Synced: 2025-02-09T09:09:59.770Z (4 months ago)
• Topics: c, cpython, python, template
• Language: C
• Homepage:
• Size: 112 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme

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README

        
Cpython Testing framework

Simple framework made to either test (integration) C code with python or to start a new Cpython project.

File Architecture:

    main.py: 

        Python script that will:

            Compile the C code in c_src/ folder

            Import the compiled .so C library

            Import data from data/ folder

            Run the test (c function thanks to cpython)

            Display with matplot lib

    c_src/:

        src/:

            .c and .h C files to be compiled

        makefile:

            Gnu make build automation file

    data/:

        Timeseries data to be inputed in python 

Example chosen:

    The ./data/ folder contains the data of an optical heart rate sensor

    The C sources contains the algorith need to filter the above date and extrac the heart rate within the python code, we will input those data one by one to the .so library.

    For each data inputed, the .so library's function will output a filtered one.

    We will then display both input and output signals.

Debugging python is straight forward (especially with vscode or other "IDE/text editors")

However to debug the C code in ./src/ folder they are two ways:

    Simpler one: 

        Use printf with the c code and run the main.py to compile it, and display the print statements

    More advanced one: 

        Use vscode and GDB (or LLVM on mac) 

        Go to ./c_src/ $> make executable

        Use gdb with the binary file created in ./c_src/bin

        Optional, setup VScode to debug with GDB:

            https://code.visualstudio.com/docs/languages/cpp  (debugging section)

Instructions:

    $> python main.py