icontract-hypothesis
gcc-invariant-plugin
icontract-hypothesis | gcc-invariant-plugin | |
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3 | 1 | |
74 | 5 | |
- | - | |
0.0 | 10.0 | |
almost 2 years ago | over 1 year ago | |
Python | C++ | |
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.)
[1] https://github.com/pschanely/CrossHair
[2] https://github.com/mristin/icontract-hypothesis
gcc-invariant-plugin
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Adding “invariant” clauses to C++ via GCC plugin to enable Design-by-Contract
The inspiration was taken directly from D, I credit as much in the README =)
https://github.com/GavinRay97/gcc-invariant-plugin#gcc-desig...
> Inspired wholly by the D Programming Language's invariant feature.
What are some alternatives?
pynguin - The PYthoN General UnIt Test geNerator is a test-generation tool for Python
clang-contracts - Experimental support for contracts programming in clang++
CrossHair - An analysis tool for Python that blurs the line between testing and type systems.
Polyester.jl - The cheapest threads you can find!
AlphaCodium - Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""