/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.commons.math3.random;


Interface extracted from java.util.Random. This interface is implemented by AbstractRandomGenerator. 
Since:
1.1/**
 * Interface extracted from <code>java.util.Random</code>.  This interface is
 * implemented by {@link AbstractRandomGenerator}.
 *
 * @since 1.1
 */
public interface RandomGenerator {

    
Sets the seed of the underlying random number generator using an
int seed.
Sequences of values generated starting with the same seeds
should be identical.

Params:
seed – the seed value/**
     * Sets the seed of the underlying random number generator using an
     * <code>int</code> seed.
     * <p>Sequences of values generated starting with the same seeds
     * should be identical.
     * </p>
     * @param seed the seed value
     */
    void setSeed(int seed);

    
Sets the seed of the underlying random number generator using an
int array seed.
Sequences of values generated starting with the same seeds
should be identical.

Params:
seed – the seed value/**
     * Sets the seed of the underlying random number generator using an
     * <code>int</code> array seed.
     * <p>Sequences of values generated starting with the same seeds
     * should be identical.
     * </p>
     * @param seed the seed value
     */
    void setSeed(int[] seed);

    
Sets the seed of the underlying random number generator using a
long seed.
Sequences of values generated starting with the same seeds
should be identical.

Params:
seed – the seed value/**
     * Sets the seed of the underlying random number generator using a
     * <code>long</code> seed.
     * <p>Sequences of values generated starting with the same seeds
     * should be identical.
     * </p>
     * @param seed the seed value
     */
    void setSeed(long seed);

    
Generates random bytes and places them into a user-supplied
byte array.  The number of random bytes produced is equal to
the length of the byte array.
Params:
bytes – the non-null byte array in which to put the
random bytes/**
     * Generates random bytes and places them into a user-supplied
     * byte array.  The number of random bytes produced is equal to
     * the length of the byte array.
     *
     * @param bytes the non-null byte array in which to put the
     * random bytes
     */
    void nextBytes(byte[] bytes);

    
Returns the next pseudorandom, uniformly distributed int
value from this random number generator's sequence.
All 232 possible int values should be produced with (approximately) equal probability. 
Returns:
the next pseudorandom, uniformly distributed int
 value from this random number generator's sequence/**
     * Returns the next pseudorandom, uniformly distributed <code>int</code>
     * value from this random number generator's sequence.
     * All 2<font size="-1"><sup>32</sup></font> possible {@code int} values
     * should be produced with  (approximately) equal probability.
     *
     * @return the next pseudorandom, uniformly distributed <code>int</code>
     *  value from this random number generator's sequence
     */
    int nextInt();

    
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. 
Params:
n – the bound on the random number to be returned.  Must be
positive.
Throws:
IllegalArgumentException –  if n is not positive.
Returns:
 a pseudorandom, uniformly distributed int value between 0 (inclusive) and n (exclusive)./**
     * Returns a pseudorandom, uniformly distributed {@code int} value
     * between 0 (inclusive) and the specified value (exclusive), drawn from
     * this random number generator's sequence.
     *
     * @param n the bound on the random number to be returned.  Must be
     * positive.
     * @return  a pseudorandom, uniformly distributed {@code int}
     * value between 0 (inclusive) and n (exclusive).
     * @throws IllegalArgumentException  if n is not positive.
     */
    int nextInt(int n);

    
Returns the next pseudorandom, uniformly distributed long
value from this random number generator's sequence.  All
264 possible long values should be produced with (approximately) equal probability. 
Returns:
 the next pseudorandom, uniformly distributed long
value from this random number generator's sequence/**
     * Returns the next pseudorandom, uniformly distributed <code>long</code>
     * value from this random number generator's sequence.  All
     * 2<font size="-1"><sup>64</sup></font> possible {@code long} values
     * should be produced with (approximately) equal probability.
     *
     * @return  the next pseudorandom, uniformly distributed <code>long</code>
     *value from this random number generator's sequence
     */
    long nextLong();

    
Returns the next pseudorandom, uniformly distributed
boolean value from this random number generator's
sequence.
Returns:
 the next pseudorandom, uniformly distributed
boolean value from this random number generator's
sequence/**
     * Returns the next pseudorandom, uniformly distributed
     * <code>boolean</code> value from this random number generator's
     * sequence.
     *
     * @return  the next pseudorandom, uniformly distributed
     * <code>boolean</code> value from this random number generator's
     * sequence
     */
    boolean nextBoolean();

    
Returns the next pseudorandom, uniformly distributed float
value between 0.0 and 1.0 from this random
number generator's sequence.
Returns:
 the next pseudorandom, uniformly distributed float
value between 0.0 and 1.0 from this
random number generator's sequence/**
     * Returns the next pseudorandom, uniformly distributed <code>float</code>
     * value between <code>0.0</code> and <code>1.0</code> from this random
     * number generator's sequence.
     *
     * @return  the next pseudorandom, uniformly distributed <code>float</code>
     * value between <code>0.0</code> and <code>1.0</code> from this
     * random number generator's sequence
     */
    float nextFloat();

    
Returns the next pseudorandom, uniformly distributed
double value between 0.0 and
1.0 from this random number generator's sequence.
Returns:
 the next pseudorandom, uniformly distributed
 double value between 0.0 and
 1.0 from this random number generator's sequence/**
     * Returns the next pseudorandom, uniformly distributed
     * <code>double</code> value between <code>0.0</code> and
     * <code>1.0</code> from this random number generator's sequence.
     *
     * @return  the next pseudorandom, uniformly distributed
     *  <code>double</code> value between <code>0.0</code> and
     *  <code>1.0</code> from this random number generator's sequence
     */
    double nextDouble();

    
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.
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/**
     * Returns the next pseudorandom, Gaussian ("normally") distributed
     * <code>double</code> value with mean <code>0.0</code> and standard
     * deviation <code>1.0</code> from this random number generator's sequence.
     *
     * @return  the next pseudorandom, Gaussian ("normally") distributed
     * <code>double</code> value with mean <code>0.0</code> and
     * standard deviation <code>1.0</code> from this random number
     *  generator's sequence
     */
    double nextGaussian();
}