click
pytest
click | pytest | |
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32 | 30 | |
15,049 | 11,371 | |
0.7% | 1.0% | |
8.0 | 9.8 | |
2 days ago | 5 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | 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.
click
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click-web: Serve click scripts over the web (Python)
Context: "click" - "Command Line Interface Creation Kit" - easily create CLIs from Python code, via adding decorators: https://github.com/pallets/click
"click-web" in turn turns the click CLI app into a web app with one line of code.
- Anyone want to start a project with me.
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How does "python3 *file* -*letter* work?
there is also click, it is more straight forward and also nice to keep the relevant code where the code is. https://github.com/pallets/click/
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Overhead of Python Asyncio Tasks
I don't have huge experience with Python, but I used async code with C#/Typescript and lately I had to use some asyncio magic.
I found this article: https://blog.dalibo.com/2022/09/12/monitoring-python-subproc... and while async/await syntax is the same, it's not entirely clear for me, why there's some event loop and what exactly happens, when I pass function to asyncio.run(), like here: https://github.com/pallets/click/issues/85#issuecomment-5034...
So, you can use it and it's not that hard, but there are some parts that are vague for me, no matter which language implements async support.
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I am sick of writing argparse boilerplate code, so I made "duckargs" to do it for me
Hmm… did you try such approaches, as [click](https://github.com/pallets/click) or[tap](https://github.com/swansonk14/typed-argument-parser)?
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lord-of-the-clips (lotc): CLI app to download, trim/clip, and merge videos. Supports lots of sites. Downloads/trims at multiple points. Merges multiple clips.
This app leverages these powerful libraries: - yt-dlp: video downloader - moviepy: video trimmer/merger - click: CLI app creator - rich / rich-click: CLI app styler
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Shells Are Two Things
I've used click [1] a lot to build Python tooling scripts the past few years. Click usage is "sort of" similar to the author's proposed solution. There's also a small section here [2] that describes some of the issues covered in the article (in context of argparse).
[1] - https://github.com/pallets/click
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Tomu – A family of devices which fit inside your USB port
I think the success of Arduino in the hardware world can be explained in a similar way, as the relative success of "command line app frameworks" like Click[1], or even much lighter-weight libraries like argparse[2]. You absolutely can get away with using just getopt[3] (and people experienced with it will likely strongly prefer it). However certain factors such as a more declarative API, a nice logo, the existence of an ecosystem (even if you're not actively drawing from it), an official "branded" forum, etc can all play into picking a more complex solution, with more baggage you don't need, certain oddities that may throw users off, etc.
[1]: https://click.palletsprojects.com/
[2]: https://docs.python.org/3/library/argparse.html
[3]: https://man.openbsd.org/getopt.3, https://linux.die.net/man/3/getopt
- something like python's click library?
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Advice for a final project in python without web?
Exactly! You can also use a library like click (https://github.com/pallets/click) to help take care of the command line side, while you focus on the 'business logic' of your application :)
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?
typer - Typer, build great CLIs. Easy to code. Based on Python type hints.
nose2 - The successor to nose, based on unittest2
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Robot Framework - Generic automation framework for acceptance testing and RPA
python-prompt-toolkit - Library for building powerful interactive command line applications in Python
Behave - BDD, Python style.
cement - Application Framework for Python
Slash - The Slash testing infrastructure
cliff - Command Line Interface Formulation Framework. Mirror of code maintained at opendev.org.
hypothesis - Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
docopt - This project is no longer maintained. Please see https://github.com/jazzband/docopt-ng
nose - nose is nicer testing for python