FsCheck
quickcheck
FsCheck | quickcheck | |
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11 | 13 | |
1,138 | 2,269 | |
0.8% | - | |
8.0 | 4.0 | |
5 days ago | 5 months ago | |
F# | Rust | |
BSD 3-clause "New" or "Revised" License | The Unlicense |
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FsCheck
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Property-based tests and clean architecture are perfect fit
As you can see from the imports statement we're relying on FsCheck to generate some random values for us.
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When writing unit tests, what exactly am I looking for?
C# - FsCheck
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Is there a tool that could be used to generate fake unit test cases automatically for code coverage? (read description before downvoting)
https://fscheck.github.io/FsCheck/ can hopefully generate random inputs automatically or with low effort for many methods to get your code coverage up. You don’t even need to write real tests right now, just call the methods with the random inputs and check they don’t fail.
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Does anyone know of a good place to learn and practice some F# preferably F# 6 to be able to use Task.
Try using F# for tests. It has some great libraries like FsCheck (https://fscheck.github.io/FsCheck/).
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Typesafe F# configuration binding
At Symbolica we're building a symbolic execution service that explores every reachable state of a user's program and verifies assertions at each of these states to check that the program is correct. By default it will check for common undefined behaviours, such as out-of-bounds memory reads or divide by zero, but it can also be used with custom, application specific, assertions too just like the kind you'd write in a unit test. Seen from this perspective it's kind of like FsCheck (or Haskell's QuickCheck or Python's Hypothesis), but much more exhaustive and without the randomness.
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Does anybody know a simple algorithm for generating unit tests given a function's code?
Maybe something like QuickCheck, a quick search gave me this library for .NET https://github.com/fscheck/FsCheck
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When do you consider your unit tests be "enough"?
Because of the above I've generally been using tools like Stryker.NET and FsCheck to augment my testing suite. I'm still doing unit testing to find the more obvious "I haven't had my coffee, let's make sure I'm doing what I think I'm doing" bugs. I'm just using things like mutation testing, property testing, fuzzing, etc. to find the deeper issues in my code. There's a ton of libraries out there, including one that I've built for myself to help with testing but FsCheck and Stryker are just beautiful. And if you're interested in fuzzing, SharpFuzz is a great option. But that one isn't quite as easy of an on ramp compared to the other two that I mentioned.
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What are you working on? (2021-06)
Looks cool. Is there a reason why you didn't use FsCheck or Hedgehog? They're built to generate random data for testing, and can return the seed if a test fails so you can rerun the test with the exact same data once you figure out what the problem is - which is useful if the failure condition is rare.
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Mutation Testing
Haskell has QuickCheck and Hedgehog, and dotnet has both as well. F# is favored, but there's C# interop.
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How Good Are Your .NET Tests? Test Your Tests With Stryker Mutator
Side note, if you are thinking about testing in general, might be interested in property based testing. See for example https://fscheck.github.io/FsCheck/
quickcheck
- Declarative Rust macros explanation
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Iterating on Testing in Rust
Maybe https://github.com/BurntSushi/quickcheck too?
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Switching from C++ to Rust
Yeah as other have mentioned, I was using Rust before 1.0.
This is my first public commit: https://github.com/BurntSushi/quickcheck/commit/c9eb2884d6a6...
I didn't write any substantive Rust before that point. So I'm at over 9 years.
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Hey Rustaceans! Got a question? Ask here (11/2023)!
The book, Zero To Production In Rust, uses quickcheck:
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Reltester: automatically verify the invariants of PartialOrd/PartialEq/Ord/Eq handwritten implementations
Hi all! I'm looking for some feedback on my latest crate, reltester. It's a small utility crate that, when paired with property-based testing with e.g. quickcheck makes it very easy to check that your handwritten comparison trait implementations satisfy the necessary constraints (transitivity, reflexivity, and all that stuff). I wrote it our of frustration after finding many subtle bugs in our PartialEq and PartialOrd implementations at $JOB, and hopefully someone else will find it useful.
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Code coverage beyond lines?
For what it's worth this would also be a good candidate for property based testing, like with: https://github.com/BurntSushi/quickcheck
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Property-Based Testing in Rust with Arbitrary
I'm aware of Hypothesis and its approach, but the connection between Hypothesis and arbitrary is indeed non-obvious. Even looking over the API docs again, the most I could pick up was this on the docs of Unstructured:
- Automated property based testing for Rust
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Rust is more portable than C for pngquant/libimagequant
Quickcheck https://github.com/BurntSushi/quickcheck
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How can I reproduce this quickcheck error (and why is it happening)?
I'm running into a strange issue while using [quickcheck](https://github.com/BurntSushi/quickcheck) to implement tests and I'm hoping someone here might have an idea. Long story short, I have tests which fail in weird ways when using quickcheck that I can't reproduce otherwise, so I'm not even sure if it's a legitimate issue or not.
What are some alternatives?
AutoFixture - AutoFixture is an open source library for .NET designed to minimize the 'Arrange' phase of your unit tests in order to maximize maintainability. Its primary goal is to allow developers to focus on what is being tested rather than how to setup the test scenario, by making it easier to create object graphs containing test data.
proptest - Hypothesis-like property testing for Rust
Bogus - :card_index: A simple fake data generator for C#, F#, and VB.NET. Based on and ported from the famed faker.js.
afl.rs - 🐇 Fuzzing Rust code with American Fuzzy Lop
Expecto - A smooth testing lib for F#. APIs made for humans! Strong testing methodologies for everyone!
Mockito - HTTP mocking for Rust!
sharpfuzz - AFL-based fuzz testing for .NET
Clippy - A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/
Fluent Assertions - A very extensive set of extension methods that allow you to more naturally specify the expected outcome of a TDD or BDD-style unit tests. Targets .NET Framework 4.7, as well as .NET Core 2.1, .NET Core 3.0, .NET 6, .NET Standard 2.0 and 2.1. Supports the unit test frameworks MSTest2, NUnit3, XUnit2, MSpec, and NSpec3.
shiny - a shiny test framework for rust
hedgehog - Release with confidence, state-of-the-art property testing for Haskell.
rFmt