public abstract class BitsStreamGenerator extends java.lang.Object implements RandomGenerator
Constructor and Description |
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BitsStreamGenerator()
Creates a new random number generator.
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Modifier and Type | Method and Description |
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boolean |
nextBoolean()
Returns the next pseudorandom, uniformly distributed
boolean value from this random number generator's
sequence. |
void |
nextBytes(byte[] bytes)
Generates random bytes and places them into a user-supplied
byte array.
|
double |
nextDouble()
Returns the next pseudorandom, uniformly distributed
double value between 0.0 and
1.0 from this random number generator's sequence. |
float |
nextFloat()
Returns the next pseudorandom, uniformly distributed
float
value between 0.0 and 1.0 from this random
number generator's sequence. |
double |
nextGaussian()
Returns the next pseudorandom, Gaussian ("normally") distributed
double value with mean 0.0 and standard
deviation 1.0 from this random number generator's sequence. |
int |
nextInt()
Returns the next pseudorandom, uniformly distributed
int
value from this random number generator's sequence. |
int |
nextInt(int n)
Returns a pseudorandom, uniformly distributed int value
between 0 (inclusive) and the specified value (exclusive), drawn from
this random number generator's sequence.
|
long |
nextLong()
Returns the next pseudorandom, uniformly distributed
long
value from this random number generator's sequence. |
abstract void |
setSeed(int seed)
Sets the seed of the underlying random number generator using an
int seed. |
abstract void |
setSeed(int[] seed)
Sets the seed of the underlying random number generator using an
int array seed. |
abstract void |
setSeed(long seed)
Sets the seed of the underlying random number generator using a
long seed. |
public BitsStreamGenerator()
public abstract void setSeed(int seed)
int
seed.
Sequences of values generated starting with the same seeds should be identical.
setSeed
in interface RandomGenerator
seed
- the seed valuepublic abstract void setSeed(int[] seed)
int
array seed.
Sequences of values generated starting with the same seeds should be identical.
setSeed
in interface RandomGenerator
seed
- the seed valuepublic abstract void setSeed(long seed)
long
seed.
Sequences of values generated starting with the same seeds should be identical.
setSeed
in interface RandomGenerator
seed
- the seed valuepublic boolean nextBoolean()
boolean
value from this random number generator's
sequence.nextBoolean
in interface RandomGenerator
boolean
value from this random number generator's
sequencepublic void nextBytes(byte[] bytes)
nextBytes
in interface RandomGenerator
bytes
- the non-null byte array in which to put the
random bytespublic double nextDouble()
double
value between 0.0
and
1.0
from this random number generator's sequence.nextDouble
in interface RandomGenerator
double
value between 0.0
and
1.0
from this random number generator's sequencepublic float nextFloat()
float
value between 0.0
and 1.0
from this random
number generator's sequence.nextFloat
in interface RandomGenerator
float
value between 0.0
and 1.0
from this
random number generator's sequencepublic double nextGaussian()
double
value with mean 0.0
and standard
deviation 1.0
from this random number generator's sequence.nextGaussian
in interface RandomGenerator
double
value with mean 0.0
and
standard deviation 1.0
from this random number
generator's sequencepublic int nextInt()
int
value from this random number generator's sequence.
All 232 possible int values
should be produced with (approximately) equal probability.nextInt
in interface RandomGenerator
int
value from this random number generator's sequencepublic int nextInt(int n) throws java.lang.IllegalArgumentException
nextInt
in interface RandomGenerator
n
- the bound on the random number to be returned. Must be
positive.java.lang.IllegalArgumentException
- if n is not positive.public long nextLong()
long
value from this random number generator's sequence. All
264 possible long values
should be produced with (approximately) equal probability.nextLong
in interface RandomGenerator
long
value from this random number generator's sequence"Copyright © 2010 - 2020 Adobe Systems Incorporated. All Rights Reserved"