autopep8 VS pytest

AutoPEP8: This tool automatically formats Python code to conform to the PEP 8 style guide. It uses pycodestyle, a library that encapsulates the functionality of the original pep8 tool.

autopep8

I found three, code-formatting tools when looking at that for IDE's: autopep8; black; yapf. One or more might be able to automatically fix those problems. They might also have an API or command line call for it where you could add it in your pipeline: prompt -> response -> code formatter -> formatted response.

autopep8

Your code isn't PEP-8 compliant. Use black or autopep8 on your code to auto-format your code, or at least use pylint to check for issues, before asking anyone else to read your code.

Is there a tool that automatically styles Julia code according to some style guide similar to autopep8 in Python (https://pypi.org/project/autopep8/) or styler in R (https://www.tidyverse.org/blog/2017/12/styler-1.0.0/)?

I use autopep8 most of the time, but it does not even attempt to split these long conditionals. 😅

In this blog post I want to demonstrate how my lab equipment such as a lab power supply or a digital multimeter (DMM) have been integrated into some pytest-based tests. Would love to get your feedback and thoughts! 🚀

Pytest: is a third-party testing framework that supports fixtures, parameterized testing, and easy test discovery while having room to add plugins to extend its functionality.

Next, you need to install a testing framework that will be used for performing unit testing in your project. Several testing frameworks are available depending on the programming language used to create an application. For example, JUnit is commonly used for Java apps, pytest for Python apps, NUnit for .NET apps, Jest for JavaScript apps, and so on. We’ll use the Jest framework for this tutorial since we are using JavaScript.

Yea, read through the pytest docs.

I absolutely agree about fixtures-as-arguments thing. Ward does this a lot better, using default values for the fixture factory. There's a long issue on ideas to implement something like that as a pytest plugin (https://github.com/pytest-dev/pytest/issues/3834), but it seems the resulting plugin relies on something of a hack.

I recommend writing a few tests. py.test makes that quite simple:

Since ITK's inception in 1999, there has been a focus on engineering practices that result in high-quality software. High-quality scientific software is driven by regression testing. The ITK project supported the development of CTest and CDash unit testing and software quality dashboard tools for use with the CMake build system. In the Python programming language, the pytest test driver helps developers write small, readable scripts that ensure their software will continue to work as expected. However, pytest can only test Python scripts by default, and errors in untested computational notebooks are more common than well-tested Python code.