Uses of Class
jsonvalues.JsBigDec

Packages that use JsBigDec

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 JsBigDec in jsonvalues

Methods in jsonvalues that return JsBigDec

Modifier and Type	Method	Description
JsBigDec	JsBigDec.map(UnaryOperator<BigDecimal> fn)	Maps this JsBigDec into another one
static JsBigDec	JsBigDec.of(BigDecimal n)	Static factory method to create a JsBigDec from a BigDecimal object.
default JsBigDec	JsValue.toJsBigDec()	Returns this JsValue as a JsBigDec.

Methods in jsonvalues with parameters of type JsBigDec

Modifier and Type	Method	Description
int	JsBigDec.compareTo(JsBigDec o)	Compares two JsBigDec objects numerically

Uses of JsBigDec in jsonvalues.gen

Methods in jsonvalues.gen that return types with arguments of type JsBigDec

Modifier and Type	Method	Description
Supplier<JsBigDec>	JsBigDecGen.apply(RandomGenerator seed)
static fun.gen.Gen<JsBigDec>	JsBigDecGen.arbitrary()	Returns a generator that produces values uniformly distributed.
static fun.gen.Gen<JsBigDec>	JsBigDecGen.arbitrary(long min, long max)	Returns a generator that produces values uniformly distributed over a specified interval.
static fun.gen.Gen<JsBigDec>	JsBigDecGen.arbitrary(BigDecimal min, BigDecimal max)	Returns a generator that produces values uniformly distributed over a specified interval.
static fun.gen.Gen<JsBigDec>	JsBigDecGen.biased()	Returns a biased generator that produces, with higher probability, potential problematic values that usually cause more bugs.
static fun.gen.Gen<JsBigDec>	JsBigDecGen.biased(long min, long max)	Returns a biased generator that produces, with higher probability, potential problematic values that usually cause more bugs.
static fun.gen.Gen<JsBigDec>	JsBigDecGen.biased(BigDecimal min, BigDecimal max)	Returns a biased generator that produces, with higher probability, potential problematic values that usually cause more bugs.