Polyester.jl
The cheapest threads you can find! (by JuliaSIMD)
pynguin
The PYthoN General UnIt Test geNerator is a test-generation tool for Python (by se2p)
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Polyester.jl | pynguin | |
---|---|---|
3 | 11 | |
214 | 1,197 | |
5.6% | 1.3% | |
7.5 | 8.2 | |
8 days ago | about 20 hours ago | |
Julia | Python | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
Polyester.jl
Posts with mentions or reviews of Polyester.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-09.
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[2207.08135] Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations
This is a new stiff ODE solver which uses multi-threading within the method to make the solve of single ODEs faster in cases where it's too small to benefit from implicit threading in BLAS. Uses Polyester mixed with a very specific adaptivity method to optimize the work calculation to hit this performance. And of note, it's the type of manual parallel algorithm that cannot use array-based parallelism offered by machine learning libraries, so it's an algorithm you kind of need to implement in C++ or... Julia! Was a fun multi-year project and am really glad to see it completed.
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Concurrency in Julia
The Folds.jl [1] package mentioned in the article is very nicely written.
For another alternative to Julia's built-in `Threads.@threads` macro, folks may also be interested in checking out `@batch` from Polyester.jl [2] (formerly CheapThreads.jl), which features particularly low-overhead threading.
[1] https://github.com/JuliaFolds/Folds.jl
[2] https://github.com/JuliaSIMD/Polyester.jl
- Pynguin – Allow developers to generate Python unit tests automatically
pynguin
Posts with mentions or reviews of pynguin.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-04.
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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
What are some alternatives?
When comparing Polyester.jl and pynguin you can also consider the following projects:
CrossHair - An analysis tool for Python that blurs the line between testing and type systems.