jsonvalues.gen

Class JsIntGen

java.lang.Object

jsonvalues.gen.JsIntGen

All Implemented Interfaces:

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

public final class JsIntGen
extends Object
implements fun.gen.Gen<JsInt>

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

      import fun.gen.Gen;
      import jsonvalues.JsInt;

      Gen<Integer> intGen = seed -> () -> {...};
      Gen<JsInteger> jsIntGen = gen.map(JsInt::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<JsInt>	apply(Random seed) Returns a supplier from the specified seed that generates a new JsInt each time it's called
static fun.gen.Gen<JsInt>	arbitrary() Returns a generator that produces values uniformly distributed
static fun.gen.Gen<JsInt>	arbitrary(int min, int max) Returns a generator that produces values uniformly distributed over a specified interval
static fun.gen.Gen<JsInt>	biased() returns a biased generators that produces, with higher probability, potential problematic values that usually cause more bugs.
static fun.gen.Gen<JsInt>	biased(int min, int 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<JsInt> biased()

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

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

Returns:

a biased JsInt generator

arbitrary

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

Returns a generator that produces values uniformly distributed

Returns:

a JsInt generator

arbitrary

public static fun.gen.Gen<JsInt> arbitrary(int min,
                                           int 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 JsInt generator

biased

public static fun.gen.Gen<JsInt> biased(int min,
                                        int 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:

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

Parameters:

min - lower bound of the interval (inclusive)

max - upper bound of the interval (inclusive)

Returns:

a biased JsInt generator

apply

public Supplier<JsInt> apply(Random seed)

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

Specified by:

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

Parameters:

seed - the generator seed

Returns:

a JsInt supplier