icontract-hypothesis
pynguin
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icontract-hypothesis | pynguin | |
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3 | 11 | |
74 | 1,189 | |
- | 1.1% | |
0.0 | 8.1 | |
almost 2 years ago | about 1 month ago | |
Python | Python | |
MIT License | MIT License |
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icontract-hypothesis
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Automated Unit Test Improvement Using Large Language Models at Meta
https://github.com/mristin/icontract-hypothesis
Nagini and deal-solver attempt to Formally Verify Python code with or without unit tests: https://news.ycombinator.com/item?id=39139198
Additional research:
"Fuzz target generation using LLMs" (2023)
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Adding “invariant” clauses to C++ via GCC plugin to enable Design-by-Contract
https://icontract.readthedocs.io/en/latest/usage.html#invari...
For unit testing, there's icontract-hypothesis; with the Preconditions and Postconditions delineated by e.g. decorators, it's possible to generate many of the fuzz tests from the additional Design by Contract structure of the source.
From https://github.com/mristin/icontract-hypothesis :
> icontract-hypothesis combines design-by-contract with automatic testing.
> It is an integration between icontract library for design-by-contract and Hypothesis library for property-based testing.
> The result is a powerful combination that allows you to automatically test your code. Instead of writing manually the Hypothesis search strategies for a function, icontract-hypothesis infers them based on the function’s [sic] precondition
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Pynguin – Allow developers to generate Python unit tests automatically
Just in case you are looking for an alternative approach: if you write contracts in your code, you might also consider crosshair [1] or icontract-hypothesis [2]. If your function/method does not need any pre-conditions then the the type annotations can be directly used.
(I'm one of the authors of icontract-hypothesis.)
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
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Hacker News top posts: Jun 1, 2021
Pynguin – Generate Python unit tests automatically\ (60 comments)
- Pynguin – Allow developers to generate Python unit tests automatically
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Do you know any Python projects on Github that are examples of best practices and good architecture?
I love the Pynguin automatic test generation tool repository. https://github.com/se2p/pynguin
What are some alternatives?
CrossHair - An analysis tool for Python that blurs the line between testing and type systems.
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).
klara - Automatic test case generation for python and static analysis library
methods2test - methods2test is a supervised dataset consisting of Test Cases and their corresponding Focal Methods from a set of Java software repositories
code - Example application code for the python architecture book
astroid - A common base representation of python source code for pylint and other projects
algebra-driven-design - Source material for Algebra-Driven Design
FsCheck - Random Testing for .NET
wily - A Python application for tracking, reporting on timing and complexity in Python code
tcases - A model-based test case generator
Polyester.jl - The cheapest threads you can find!