jsonvalues.gen

Class JsDoubleGen

java.lang.Object

jsonvalues.gen.JsDoubleGen

All Implemented Interfaces:

fun.gen.Gen<JsDouble>, Function<Random,Supplier<JsDouble>>

public final class JsDoubleGen
extends Object
implements fun.gen.Gen<JsDouble>

Represents a JsDouble generator. It can be created using the static factory methods biased and arbitrary or, if none of the previous suit your needs, from a double generator and the function map:

      import fun.gen.Gen;
      import jsonvalues.JsDouble;

      Gen<Double> doubleGen = seed -> () -> {...};
      Gen<JsDouble> jsDoubleGen = gen.map(JsDouble::of)
      
  

Arbitrary generators produces uniformed distributions of values. Biased generators produces, with higher probability, potential problematic values that usually cause more bugs.

Method Summary

Modifier and Type	Method and Description
Supplier<JsDouble>	apply(Random seed) Returns a supplier from the specified seed that generates a new JsDouble each time it's called
static fun.gen.Gen<JsDouble>	arbitrary() Returns a generator that produces values uniformly distributed
static fun.gen.Gen<JsDouble>	arbitrary(double min, double max) Returns a generator that produces values uniformly distributed over a specified interval
static fun.gen.Gen<JsDouble>	biased() returns a biased generators that produces, with higher probability, potential problematic values that usually cause more bugs.
static fun.gen.Gen<JsDouble>	biased(double min, double max) returns a biased generators that produces, with higher probability, potential problematic values that usually cause more bugs.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface fun.gen.Gen

cons, map, peek, sample, sample, sample, suchThat, suchThat, then

Methods inherited from interface java.util.function.Function

andThen, compose, identity

Method Detail

biased

public static fun.gen.Gen<JsDouble> biased()

returns a biased generators that produces, with higher probability, potential problematic values that usually cause more bugs. These values are:

 - Long.MIN_VALUE
 - Integer.MIN_VALUE
 - Short.MIN_VALUE
 - Byte.MIN_VALUE
 -  0
 - Long.MAX_VALUE
 - Integer.MAX_VALUE
 - Short.MAX_VALUE
 - Byte.MAX_VALUE
 

Returns:

a biased JsDouble generator

arbitrary

public static fun.gen.Gen<JsDouble> arbitrary()

Returns a generator that produces values uniformly distributed

Returns:

a JsDouble generator

biased

public static fun.gen.Gen<JsDouble> biased(double min,
                                           double max)

returns a biased generators that produces, with higher probability, potential problematic values that usually cause more bugs. These values are:

 - the lower bound of the interval
 - the upper bound of the interval
 

and the following numbers provided that they are between the specified interval:

 - Long.MIN_VALUE
 - Integer.MIN_VALUE
 - Short.MIN_VALUE
 - Byte.MIN_VALUE
 - 0
 - Integer.MAX_VALUE
 - Short.MAX_VALUE
 - Byte.MAX_VALUE
 - Long.MAX_VALUE
 

Parameters:

min - lower bound of the interval (inclusive)

max - upper bound of the interval (inclusive)

Returns:

a biased JsDouble generator

arbitrary

public static fun.gen.Gen<JsDouble> arbitrary(double min,
                                              double max)

Returns a generator that produces values uniformly distributed over a specified interval

Parameters:

min - lower bound of the interval (inclusive)

max - upper bound of the interval (inclusive)

Returns:

a biased JsDouble generator

apply

public Supplier<JsDouble> apply(Random seed)

Returns a supplier from the specified seed that generates a new JsDouble each time it's called

Specified by:

apply in interface Function<Random,Supplier<JsDouble>>

Parameters:

seed - the generator seed

Returns:

a JsDouble supplier