Uses of Class
jsonvalues.JsInt

Packages that use JsInt
Package
Description
jsonvalues
The `jsonvalues` package provides a set of classes and interfaces for working with JSON (JavaScript Object Notation) data in a type-safe and structured manner.
jsonvalues.gen
This package contains a set of generators for creating JSON-like data structures using the `jsonvalues` library.

  • Uses of JsInt in jsonvalues

    Methods in jsonvalues that return JsInt
    Modifier and Type
    Method
    Description
    JsInt
    JsInt.map(IntUnaryOperator fn)
    Maps this JSON integer into another one.
    static JsInt
    JsInt.of(int n)
    Static factory method to create a JsInt from an integer primitive type.
    default JsInt
    JsValue.toJsInt()
    Returns this JsValue as a JsInt.
    Methods in jsonvalues with parameters of type JsInt
    Modifier and Type
    Method
    Description
    int
    JsInt.compareTo(JsInt o)
    Compares two JsInt objects numerically.

  • Uses of JsInt in jsonvalues.gen

    Methods in jsonvalues.gen that return types with arguments of type JsInt
    Modifier and Type
    Method
    Description
    Supplier<JsInt>
    JsIntGen.apply(RandomGenerator seed)
     
    static fun.gen.Gen<JsInt>
    JsIntGen.arbitrary()
    Returns a generator that produces values with a uniform distribution.
    static fun.gen.Gen<JsInt>
    JsIntGen.arbitrary(int min)
    Returns a generator that produces values uniformly distributed over the interval [min,Integer.MAX_VALUE].
    static fun.gen.Gen<JsInt>
    JsIntGen.arbitrary(int min, int max)
    Returns a generator that produces values uniformly distributed over a specified interval.
    static fun.gen.Gen<JsInt>
    JsIntGen.biased()
    Returns a biased generator that produces potential problematic values with a higher probability.
    static fun.gen.Gen<JsInt>
    JsIntGen.biased(int min)
    Returns a biased generator that produces potential problematic values with a higher probability.
    static fun.gen.Gen<JsInt>
    JsIntGen.biased(int min, int max)
    Returns a biased generator that produces potential problematic values with a higher probability.