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 JsLong 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 produce values with a uniform distribution. Biased generators produce potential problematic values with a higher probability, which can help identify and test edge cases.

Method Summary

Modifier and Type	Method	Description
Supplier<JsLong>	apply(Random seed)
static fun.gen.Gen<JsLong>	arbitrary()	Returns a generator that produces values with a uniform distribution.
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 potential problematic values with a higher probability.
static fun.gen.Gen<JsLong>	biased(long min, long max)	Returns a biased generator that produces potential problematic values with a higher probability.

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

classify, classify, collect, collect, distinct, distinct, map, peek, sample, sample, sample, suchThat, suchThat, then

Method Details

biased

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

Returns a biased generator that produces potential problematic values with a higher probability. These values include: - 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 JsLong generator.

arbitrary

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

Returns a generator that produces values with a uniform distribution.

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 - The lower bound of the interval (inclusive).

max - The upper bound of the interval (inclusive).

Returns:

A JsLong generator.

biased

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

Returns a biased generator that produces potential problematic values with a higher probability. These values include: - 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 - The lower bound of the interval (inclusive).

max - The upper bound of the interval (inclusive).

Returns:

A biased JsLong generator.

apply

public Supplier<JsLong> apply(Random seed)

Specified by:

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