pynguin
requests
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| pynguin | requests | |
|---|---|---|
| 11 | 87 | |
| 1,197 | 51,359 | |
| 1.3% | 0.5% | |
| 8.2 | 8.4 | |
| 3 days ago | 4 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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.
pynguin
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There is framework for everything.
https://swagger.io/specification/ https://github.com/se2p/pynguin
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Supposed to create tests for a massive project, how should I go about it?
I would use black to reformat this, then, if you can't refactor/rewrite (which is a lot of work!) I would try automated test generation via something like pynguin or fuzzing. I mean … this is not going to be a reliable solution anyways if the codebase is like that. So I would go in a direction that I find interesting to learn about and that could be helpful for the project. That would be generating tests and doing fuzzing. In the end you should run some linters anyways so that you can justify your results and show that the task is not in the scope of an internship and needs extensive refactoring.
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Klara: Python automatic test generations and static analysis library
The main difference that Klara bring to the table, compared to similar tool like pynguin and Crosshair is that the analysis is entirely static, meaning that no user code will be executed, and you can easily extend the test generation strategy via plugin loading (e.g. the options arg to the Component object returned from function above is not needed for test coverage).
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Does anybody know a simple algorithm for generating unit tests given a function's code?
Automated White-box test generation software: * https://github.com/EMResearch/EvoMaster -- for integration tests. * https://github.com/se2p/pynguin, https://pynguin.readthedocs.io/en/latest/user/quickstart.html -- unit test generation for python
- se2p/pynguin Pynguin, the PYthoN General UnIt test geNerator, is a tool that allows developers to generate unit tests automatically.
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Hacker News top posts: Jun 1, 2021
Pynguin – Generate Python unit tests automatically\ (60 comments)
- Pynguin – Generate Python unit tests automatically
- Pynguin – Allow developers to generate Python unit tests automatically
requests
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Revived the promise made six years ago for Requests 3
For many years now, Requests has been frozen. Being left in a vegetative state and not evolving, this blocked millions of developers from using more advanced features.
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Ask HN: Is Python async/await some kind of joke?
- Ubiquitous “requests” library used in most docs examples, no async support https://github.com/psf/requests
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10 Github repositories to achieve Python mastery
Explore here.
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urllib3 v2.0.0 is now generally available!
It's Lukasa (his name is Cory, there's Łukasz in PSF though, but that's a different person). Looking at him, he made significant contributions to the requests repo: https://github.com/psf/requests/graphs/contributors
- I built a chatbot that lets you talk to any Github repository
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I Could Rewrite Curl
> I'd love to see the look on some of these people's faces when they find out that tool/software/whatever they use is actually using libcurl under the hood.
Python dependencies (does not include curl)
https://devguide.python.org/getting-started/setup-building/i...
The "requests" module in Python (does not use curl)
https://github.com/psf/requests
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Development environment for the Python requests package
This part can be found in the README of the GitHub repository.
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Trying to install autoscan from https://github.com/NiNiyas/autoscan and stuck with no idea what the problem is.
Looking around for similar errors I found this issue where they recommended trying to use a newer version of the urllib3 library.
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Pain when going back to other languages
but I appreciate the fact that there is an issue about it, it's acknowledged and .. unfixable, it would now break too many things https://github.com/psf/requests/issues/2002
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How do you decide when to keep a project in a single python file vs break it up into multiple files?
The requests package has been the golden standard for package structure for as long as I can remember.
What are some alternatives?
CrossHair - An analysis tool for Python that blurs the line between testing and type systems.
urllib3 - urllib3 is a user-friendly HTTP client library for Python
EvoMaster - The first open-source AI-driven tool for automatically generating system-level test cases (also known as fuzzing) for web/enterprise applications. Currently targeting whitebox and blackbox testing of Web APIs, like REST, GraphQL and RPC (e.g., gRPC and Thrift).
httplib2 - Small, fast HTTP client library for Python. Features persistent connections, cache, and Google App Engine support. Originally written by Joe Gregorio, now supported by community.
klara - Automatic test case generation for python and static analysis library
grequests - Requests + Gevent = <3
icontract-hypothesis - Combine contracts and automatic testing.
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
methods2test - methods2test is a supervised dataset consisting of Test Cases and their corresponding Focal Methods from a set of Java software repositories
treq - Python requests like API built on top of Twisted's HTTP client.
code - Example application code for the python architecture book
Uplink - A Declarative HTTP Client for Python