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2 dépôts

Awesome GitHub RepositoriesAutomatic Instance Generation

Compiler-driven derivation of type class instances for data types.

Distinct from Automatic Type Deduction: Distinct from Automatic Type Deduction: focuses on the generation of type class implementations (deriving) rather than inferring the type of an expression.

Explore 2 awesome GitHub repositories matching programming languages & runtimes · Automatic Instance Generation. Refine with filters or upvote what's useful.

Awesome Automatic Instance Generation GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • purescript/purescriptAvatar de purescript

    purescript/purescript

    8,832Voir sur GitHub↗

    PureScript is a statically typed, purely functional programming language that compiles to JavaScript. It is designed as a cross-platform frontend language for building safe web applications, utilizing a static type system and a JavaScript compiler to ensure program correctness across browser and server environments. The language is distinguished by its emphasis on mathematical purity, featuring a robust type system with first-class support for monads. It provides a sophisticated toolset for static verification, including algebraic data types, type classes, and automatic type inference to reje

    Allows the compiler to automatically derive type class instances for data types.

    Haskellalt-jshaskelljavascript
    Voir sur GitHub↗8,832
  • hypothesisworks/hypothesisAvatar de HypothesisWorks

    HypothesisWorks/hypothesis

    8,717Voir sur GitHub↗

    Hypothesis is a Python property-based testing library and data generation engine. It enables the discovery of edge cases and bugs by generating a wide range of randomized inputs based on defined strategies and shrinking complex failing examples to their smallest possible form. It also functions as a state machine testing framework to verify system behavior across sequences of interdependent operations. The project features a fuzzing integration layer that converts raw byte buffers from coverage-guided fuzzers into structured test cases. It includes a persistence mechanism to store and synchro

    Produces instances of classes or callables by drawing arguments from strategies or type annotations.

    Pythonfuzzingproperty-based-testingpython
    Voir sur GitHub↗8,717
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  3. Automatic Type Deduction
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Explorer les sous-tags

  • Randomized Instance GenerationAutomatic production of class instances by drawing arguments from randomized strategies. **Distinct from Automatic Instance Generation:** Focuses on randomized test object creation rather than compiler-driven type class derivation.