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The Apache Commons Math project is a library of lightweight, self-contained mathematics and statistics components addressing the most common practical problems not immediately available in the Java programming language or commons-lang.

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/*
 * 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;
import java.util.Collection;

import org.apache.commons.math3.exception.NotANumberException;
import org.apache.commons.math3.exception.NotFiniteNumberException;
import org.apache.commons.math3.exception.NotStrictlyPositiveException;
import org.apache.commons.math3.exception.NumberIsTooLargeException;

/**
 * Random data generation utilities.
 * @deprecated to be removed in 4.0.  Use {@link RandomDataGenerator} directly
 */
@Deprecated
public interface RandomData {
    /**
     * Generates a random string of hex characters of length {@code len}.
     * 

* The generated string will be random, but not cryptographically * secure. To generate cryptographically secure strings, use * {@link #nextSecureHexString(int)}. *

* * @param len the length of the string to be generated * @return a random string of hex characters of length {@code len} * @throws NotStrictlyPositiveException * if {@code len <= 0} */ String nextHexString(int len) throws NotStrictlyPositiveException; /** * Generates a uniformly distributed random integer between {@code lower} * and {@code upper} (endpoints included). *

* The generated integer will be random, but not cryptographically secure. * To generate cryptographically secure integer sequences, use * {@link #nextSecureInt(int, int)}. *

* * @param lower lower bound for generated integer * @param upper upper bound for generated integer * @return a random integer greater than or equal to {@code lower} * and less than or equal to {@code upper} * @throws NumberIsTooLargeException if {@code lower >= upper} */ int nextInt(int lower, int upper) throws NumberIsTooLargeException; /** * Generates a uniformly distributed random long integer between * {@code lower} and {@code upper} (endpoints included). *

* The generated long integer values will be random, but not * cryptographically secure. To generate cryptographically secure sequences * of longs, use {@link #nextSecureLong(long, long)}. *

* * @param lower lower bound for generated long integer * @param upper upper bound for generated long integer * @return a random long integer greater than or equal to {@code lower} and * less than or equal to {@code upper} * @throws NumberIsTooLargeException if {@code lower >= upper} */ long nextLong(long lower, long upper) throws NumberIsTooLargeException; /** * Generates a random string of hex characters from a secure random * sequence. *

* If cryptographic security is not required, use * {@link #nextHexString(int)}. *

* * @param len the length of the string to be generated * @return a random string of hex characters of length {@code len} * @throws NotStrictlyPositiveException if {@code len <= 0} */ String nextSecureHexString(int len) throws NotStrictlyPositiveException; /** * Generates a uniformly distributed random integer between {@code lower} * and {@code upper} (endpoints included) from a secure random sequence. *

* Sequences of integers generated using this method will be * cryptographically secure. If cryptographic security is not required, * {@link #nextInt(int, int)} should be used instead of this method.

*

* Definition: * * Secure Random Sequence

* * @param lower lower bound for generated integer * @param upper upper bound for generated integer * @return a random integer greater than or equal to {@code lower} and less * than or equal to {@code upper}. * @throws NumberIsTooLargeException if {@code lower >= upper}. */ int nextSecureInt(int lower, int upper) throws NumberIsTooLargeException; /** * Generates a uniformly distributed random long integer between * {@code lower} and {@code upper} (endpoints included) from a secure random * sequence. *

* Sequences of long values generated using this method will be * cryptographically secure. If cryptographic security is not required, * {@link #nextLong(long, long)} should be used instead of this method.

*

* Definition: * * Secure Random Sequence

* * @param lower lower bound for generated integer * @param upper upper bound for generated integer * @return a random long integer greater than or equal to {@code lower} and * less than or equal to {@code upper}. * @throws NumberIsTooLargeException if {@code lower >= upper}. */ long nextSecureLong(long lower, long upper) throws NumberIsTooLargeException; /** * Generates a random value from the Poisson distribution with the given * mean. *

* Definition: * * Poisson Distribution

* * @param mean the mean of the Poisson distribution * @return a random value following the specified Poisson distribution * @throws NotStrictlyPositiveException if {@code mean <= 0}. */ long nextPoisson(double mean) throws NotStrictlyPositiveException; /** * Generates a random value from the Normal (or Gaussian) distribution with * specified mean and standard deviation. *

* Definition: * * Normal Distribution

* * @param mu the mean of the distribution * @param sigma the standard deviation of the distribution * @return a random value following the specified Gaussian distribution * @throws NotStrictlyPositiveException if {@code sigma <= 0}. */ double nextGaussian(double mu, double sigma) throws NotStrictlyPositiveException; /** * Generates a random value from the exponential distribution * with specified mean. *

* Definition: * * Exponential Distribution

* * @param mean the mean of the distribution * @return a random value following the specified exponential distribution * @throws NotStrictlyPositiveException if {@code mean <= 0}. */ double nextExponential(double mean) throws NotStrictlyPositiveException; /** * Generates a uniformly distributed random value from the open interval * {@code (lower, upper)} (i.e., endpoints excluded). *

* Definition: * * Uniform Distribution {@code lower} and {@code upper - lower} are the * * location and scale parameters, respectively.

* * @param lower the exclusive lower bound of the support * @param upper the exclusive upper bound of the support * @return a uniformly distributed random value between lower and upper * (exclusive) * @throws NumberIsTooLargeException if {@code lower >= upper} * @throws NotFiniteNumberException if one of the bounds is infinite * @throws NotANumberException if one of the bounds is NaN */ double nextUniform(double lower, double upper) throws NumberIsTooLargeException, NotFiniteNumberException, NotANumberException; /** * Generates a uniformly distributed random value from the interval * {@code (lower, upper)} or the interval {@code [lower, upper)}. The lower * bound is thus optionally included, while the upper bound is always * excluded. *

* Definition: * * Uniform Distribution {@code lower} and {@code upper - lower} are the * * location and scale parameters, respectively.

* * @param lower the lower bound of the support * @param upper the exclusive upper bound of the support * @param lowerInclusive {@code true} if the lower bound is inclusive * @return uniformly distributed random value in the {@code (lower, upper)} * interval, if {@code lowerInclusive} is {@code false}, or in the * {@code [lower, upper)} interval, if {@code lowerInclusive} is * {@code true} * @throws NumberIsTooLargeException if {@code lower >= upper} * @throws NotFiniteNumberException if one of the bounds is infinite * @throws NotANumberException if one of the bounds is NaN */ double nextUniform(double lower, double upper, boolean lowerInclusive) throws NumberIsTooLargeException, NotFiniteNumberException, NotANumberException; /** * Generates an integer array of length {@code k} whose entries are selected * randomly, without repetition, from the integers {@code 0, ..., n - 1} * (inclusive). *

* Generated arrays represent permutations of {@code n} taken {@code k} at a * time.

* * @param n the domain of the permutation * @param k the size of the permutation * @return a random {@code k}-permutation of {@code n}, as an array of * integers * @throws NumberIsTooLargeException if {@code k > n}. * @throws NotStrictlyPositiveException if {@code k <= 0}. */ int[] nextPermutation(int n, int k) throws NumberIsTooLargeException, NotStrictlyPositiveException; /** * Returns an array of {@code k} objects selected randomly from the * Collection {@code c}. *

* Sampling from {@code c} is without replacement; but if {@code c} contains * identical objects, the sample may include repeats. If all elements of * {@code c} are distinct, the resulting object array represents a * * Simple Random Sample of size {@code k} from the elements of * {@code c}.

* * @param c the collection to be sampled * @param k the size of the sample * @return a random sample of {@code k} elements from {@code c} * @throws NumberIsTooLargeException if {@code k > c.size()}. * @throws NotStrictlyPositiveException if {@code k <= 0}. */ Object[] nextSample(Collection c, int k) throws NumberIsTooLargeException, NotStrictlyPositiveException; }




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