FsCheck
Bogus
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FsCheck | Bogus | |
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11 | 27 | |
1,132 | 8,261 | |
0.9% | - | |
8.1 | 8.3 | |
11 days ago | 6 days ago | |
F# | C# | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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.
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/
Bogus
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Bogus custom Dataset
Bogus NuGet package is fake data generator which can be helpful for populating tables in a database and testing purposes. If a database is not used and Bogus populates list of data each time an application runs, the data is random, never the same. Also, the random data generated by Bogus may not meet a developer’s requirements.
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C# User-defined explicit and implicit conversion operators
A list is populated with NuGet package Bogus.
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Windows form move items up/down in ListView and more
Other project either mocked data using NuGet package Bogus or a json file.
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Should I give a copy of the database to the developer
That reminds me of Bogus which also generates dummy data that I've been using for sometime now.
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Best practices for organising Mock Data & Repositories in Testing
To do all this you need test though...and that's where ]Bogus](https://github.com/bchavez/Bogus) and Auto Bogus come in handy. They both generate semi random test data that you can use to populate whatever method you've decided to use. You can setup rules so for specific fields, they have built in generators for common things like names and addresses. Auto Bogus can be used to populate large/complicated objects with data automatically (it can be slow if you don't use .WithRecursiveDepth() or.WithTreeDepth() )
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Do you guys mock everything in your Unit Tests?
Bogus - For creating fake data Verify - Snapshot testing for .NET MELT - For testing ILogger usage Stryker - Mutation Testing for .NET TestContainers - run docker programmatically in integration tests
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WinForms communicate between forms
To keep things interesting Bogus library is used to create a Person instance.
- bchavez/Bogus: fake data generator for C#
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The art of Deconstructing
Usage with mocked data using Bogus NuGet package.
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Nuget Packages in Class Libraries
I would say the issue is either a general issue with how Revit loads the addin, or maybe an issue with conflicts in your transitive dependencies. You can do some tests to try to figure out which. Try making a barebones Revit addin that uses a library that has no dependencies and isn't likely to be used in Revit. I'd suggest Bogus, you can use it generate a few pieces of test data and log them/display in the UI/whatever. If that works, then it would appear that Revit is fine with your addin having dependencies (which I would expect).
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.
Expecto - A smooth testing lib for F#. APIs made for humans! Strong testing methodologies for everyone!
faker-cs - C# port of the Ruby Faker gem (http://faker.rubyforge.org/)
sharpfuzz - AFL-based fuzz testing for .NET
Moq - Repo for managing Moq 4.x [Moved to: https://github.com/moq/moq]
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.
NBuilder - Rapid generation of test objects in .NET
hedgehog - Release with confidence, state-of-the-art property testing for Haskell.
FakeItEasy - The easy mocking library for .NET
GenFu - GenFu is a library you can use to generate realistic test data. It is composed of several property fillers that can populate commonly named properties through reflection using an internal database of values or randomly created data. You can override any of the fillers, give GenFu hints on how to fill them.