Module json_values
Package jsonvalues.gen

Class JsLongGen

java.lang.Object
jsonvalues.gen.JsLongGen
All Implemented Interfaces:
fun.gen.Gen<JsLong>, Function<Random,Supplier<JsLong>>
public final class JsLongGen extends Object implements fun.gen.Gen<JsLong>
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 a long generator and the function map: 

      import fun.gen.Gen;
      import jsonvalues.JsLong;

      Gen<Long> longGen = seed -> () -> {...};
      Gen<JsLong> jsLongGen = gen.map(JsLong::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
    Description
    Supplier<JsLong>
    apply(Random seed)
    Returns a supplier from the specified seed that generates a new JsLong each time it's called
    static fun.gen.Gen<JsLong>
    arbitrary()
    Returns a generator that produces values uniformly distributed
    static fun.gen.Gen<JsLong>
    arbitrary(long min, long max)
    Returns a generator that produces values uniformly distributed over a specified interval
    static fun.gen.Gen<JsLong>
    biased()
    returns a biased generator that produces, with higher probability, potential problematic values that usually cause more bugs.
    static fun.gen.Gen<JsLong>
    biased(long min, long 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 java.util.function.Function

    andThen, compose

    Methods inherited from interface fun.gen.Gen

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

  • Method Details

    • biased

      public static fun.gen.Gen<JsLong> biased()
      returns a biased generator 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 JsBigDec generator

    • arbitrary

      public static fun.gen.Gen<JsLong> arbitrary()
      Returns a generator that produces values uniformly distributed
      Returns:
      a JsLong generator

    • arbitrary

      public static fun.gen.Gen<JsLong> arbitrary(long min, long 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 JsLong generator

    • biased

      public static fun.gen.Gen<JsLong> biased(long min, long 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 JsLong generator

    • apply

      public Supplier<JsLong> apply(Random seed)
      Returns a supplier from the specified seed that generates a new JsLong each time it's called
      Specified by:
      apply in interface Function<Random,Supplier<JsLong>>
      Parameters:
      seed - the generator seed
      Returns:
      a JsLong supplier