mccabe
pytest
mccabe | pytest | |
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5 | 30 | |
625 | 11,402 | |
0.0% | 1.3% | |
2.1 | 9.8 | |
5 months ago | 4 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mccabe
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Python toolkits
mccabe for Ned’s script to check McCabe complexity
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Why do people use multiple scripts when programming in Python?
Cyclomatic Complexity is a metric used to determine the stability of your code. It basically boils down to the more code you have the more problems that can arise in said code. There are even modules for python to check your cyclomatic complexity. It goes hand in hand with separating your code out into modules. I work for a FAANG company and we usually want to keep our cyclomatic complexity less than 10 with that tool above.
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How to Audit the Quality of Your Python Code: A Step-by-Step Guide (Checklist Inside)
Mccabe—a Python complexity checker;
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Pybudget: A Solution to My Small-Brain Financial Decisions
A more advanced best practice would be separating different functions of your code into different files to keep Cyclomatic Complexity low. More code usually = more problems can be in said code. There’s even a tool you can use to determine how complex your code is called mccabe. Lower is better with that
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Code Quality Tools in Python
Flake8: a combination of following linters: PyFlakes, pycodestyle, Ned Batchelder’s McCabe script
pytest
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Integrating Lab Equipment into pytest-Based Tests
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! 🚀
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The Uncreative Software Engineer's Compendium to Testing
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.
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pytest VS vedro - a user suggested alternative
2 projects | 16 Jul 2023
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TDD vs BDD - A Detailed Guide
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.
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Is there a way to automate testing in python? In my case :
Yea, read through the pytest docs.
- Testing an automation framework
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Pytest Tips and Tricks
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.
- 2023 Development Tool Map
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Is my merge sort right?
I recommend writing a few tests. py.test makes that quite simple:
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How to raise the quality of scientific Jupyter notebooks
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.
What are some alternatives?
pylama - Code audit tool for python.
nose2 - The successor to nose, based on unittest2
flake8-length - Flake8 plugin for a smart line length validation.
Robot Framework - Generic automation framework for acceptance testing and RPA
autopep8 - A tool that automatically formats Python code to conform to the PEP 8 style guide.
Behave - BDD, Python style.
pyflakes - A simple program which checks Python source files for errors
Slash - The Slash testing infrastructure
isort - A Python utility / library to sort imports.
hypothesis - Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
pybudget - This is a python script that will determine a budget for your current pay period.
nose - nose is nicer testing for python