org.hipparchus.stat.descriptive.AbstractUnivariateStatistic Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of hipparchus-stat Show documentation
Show all versions of hipparchus-stat Show documentation
The Hipparchus statistics module
/*
* 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.
*/
/*
* This is not the original file distributed by the Apache Software Foundation
* It has been modified by the Hipparchus project
*/
package org.hipparchus.stat.descriptive;
import org.hipparchus.exception.LocalizedCoreFormats;
import org.hipparchus.exception.MathIllegalArgumentException;
import org.hipparchus.util.MathUtils;
/**
* Abstract base class for implementations of the
* {@link UnivariateStatistic} interface.
*/
public abstract class AbstractUnivariateStatistic
implements UnivariateStatistic {
/** Stored data. */
private double[] storedData;
/** Default constructor. */
protected AbstractUnivariateStatistic() {
// This constructor is intentionally empty. Nothing special is needed here.
}
/**
* Copy constructor, creates an identical copy
* of the {@code original}.
*
* @param original the instance to copy
* @throws org.hipparchus.exception.NullArgumentException if original is null
*/
protected AbstractUnivariateStatistic(AbstractUnivariateStatistic original) {
MathUtils.checkNotNull(original);
this.storedData = original.storedData != null ? original.storedData.clone() : null;
}
/** {@inheritDoc} */
@Override
public abstract double evaluate(double[] values, int begin, int length)
throws MathIllegalArgumentException;
/** {@inheritDoc} */
@Override
public abstract UnivariateStatistic copy();
/**
* Set the data array.
*
* The stored value is a copy of the parameter array, not the array itself.
*
* @param values data array to store (may be null to remove stored data)
* @see #evaluate()
*/
public void setData(final double[] values) {
storedData = (values == null) ? null : values.clone();
}
/**
* Get a copy of the stored data array.
* @return copy of the stored data array (may be null)
*/
public double[] getData() {
return (storedData == null) ? null : storedData.clone();
}
/**
* Get a reference to the stored data array.
* @return reference to the stored data array (may be null)
*/
protected double[] getDataRef() {
return storedData; // NOPMD - returning an internal array is intentional and documented here
}
/**
* Set the data array. The input array is copied, not referenced.
*
* @param values data array to store
* @param begin the index of the first element to include
* @param length the number of elements to include
* @throws MathIllegalArgumentException if values is null or the indices
* are not valid
* @see #evaluate()
*/
public void setData(final double[] values, final int begin, final int length)
throws MathIllegalArgumentException {
MathUtils.checkNotNull(values, LocalizedCoreFormats.INPUT_ARRAY);
if (begin < 0) {
throw new MathIllegalArgumentException(LocalizedCoreFormats.START_POSITION, begin);
}
if (length < 0) {
throw new MathIllegalArgumentException(LocalizedCoreFormats.LENGTH, length);
}
if (begin + length > values.length) {
throw new MathIllegalArgumentException(LocalizedCoreFormats.SUBARRAY_ENDS_AFTER_ARRAY_END,
begin + length, values.length, true);
}
storedData = new double[length];
System.arraycopy(values, begin, storedData, 0, length);
}
/**
* Returns the result of evaluating the statistic over the stored data.
*
* The stored array is the one which was set by previous calls to
* {@link #setData(double[])}.
*
* @return the value of the statistic applied to the stored data
* @throws MathIllegalArgumentException if the stored data array is null
*/
public double evaluate() throws MathIllegalArgumentException {
return evaluate(storedData);
}
}