mirror of https://github.com/apache/poi.git
Support for IRR() function, see Bugzilla 50409. Includes fix for Bugzilla 50437
git-svn-id: https://svn.apache.org/repos/asf/poi/trunk@1044370 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
parent
49dd8f1ca0
commit
574810c8aa
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@ -35,7 +35,7 @@
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<section><title>29 October 2010 - POI 3.7 available</title>
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<p>The Apache POI team is pleased to announce the release of 3.7. This includes a large number of bug fixes, and some
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enhancements (especially text extraction). See the
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<link href="http://www.apache.org/dist/poi/release/bin/RELEASE-NOTES.txt">full release notes</link> for more details.
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<link href="http://www.apache.org/dist/poi/release/bin/RELEASE_NOTES.txt">full release notes</link> for more details.
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</p>
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<p>A full list of changes is available in the <link href="changes.html">change log</link>.
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People interested should also follow the <link href="mailinglists.html">dev mailing list</link> to track further progress.</p>
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@ -34,8 +34,10 @@
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<changes>
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<release version="3.8-beta1" date="2010-??-??">
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<action dev="POI-DEVELOPERS" type="add">50437 - Support passing ranges to NPV()</action>
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<action dev="POI-DEVELOPERS" type="add">50409 - Added implementation for IRR()</action>
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<action dev="poi-developers" type="add">47405 - Improved performance of RowRecordsAggregate.getStartRowNumberForBlock / getEndRowNumberForBlock</action>
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<action dev="poi-developers" type="add">50315 - Avoid crashing Excel when sorting XSSFSheet autofilter</action>
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<action dev="poi-developers" type="fix">50315 - Avoid crashing Excel when sorting XSSFSheet autofilter</action>
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<action dev="poi-developers" type="add">50076 - Allow access from XSSFReader to sheet comments and headers/footers</action>
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<action dev="poi-developers" type="add">50076 - Refactor XSSFEventBasedExcelExtractor to make it easier for you to have control over outputting the cell contents</action>
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<action dev="poi-developers" type="fix">50258 - avoid corruption of XSSFWorkbook after applying XSSFRichTextRun#applyFont</action>
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@ -100,6 +100,7 @@ public final class FunctionEval {
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retval[58] = FinanceFunction.NPER;
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retval[59] = FinanceFunction.PMT;
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retval[62] = new Irr();
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retval[63] = NumericFunction.RAND;
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retval[64] = new Match();
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retval[65] = DateFunc.instance;
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@ -67,7 +67,7 @@ public abstract class AggregateFunction extends MultiOperandNumericFunction {
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return new NumberEval(result);
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}
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}
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private static final class ValueCollector extends MultiOperandNumericFunction {
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static final class ValueCollector extends MultiOperandNumericFunction {
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private static final ValueCollector instance = new ValueCollector();
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public ValueCollector() {
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super(false, false);
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@ -56,7 +56,7 @@ package org.apache.poi.ss.formula.functions;
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* ny + p + f=0 ...{when r=0}
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* </pre>
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*/
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final class FinanceLib {
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public final class FinanceLib {
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private FinanceLib() {
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// no instances of this class
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@ -0,0 +1,120 @@
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/* ====================================================================
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Licensed to the Apache Software Foundation (ASF) under one or more
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contributor license agreements. See the NOTICE file distributed with
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this work for additional information regarding copyright ownership.
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The ASF licenses this file to You under the Apache License, Version 2.0
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(the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
|
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==================================================================== */
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package org.apache.poi.ss.formula.functions;
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import org.apache.poi.ss.formula.eval.*;
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/**
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* Calculates the internal rate of return.
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*
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* Syntax is IRR(values) or IRR(values,guess)
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*
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* @author Marcel May
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* @author Yegor Kozlov
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*
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* @see <a href="http://en.wikipedia.org/wiki/Internal_rate_of_return#Numerical_solution">Wikipedia on IRR</a>
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* @see <a href="http://office.microsoft.com/en-us/excel-help/irr-HP005209146.aspx">Excel IRR</a>
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*/
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public final class Irr implements Function {
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public ValueEval evaluate(final ValueEval[] args, final int srcRowIndex, final int srcColumnIndex) {
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if(args.length == 0 || args.length > 2) {
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// Wrong number of arguments
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return ErrorEval.VALUE_INVALID;
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}
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try {
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double[] values = AggregateFunction.ValueCollector.collectValues(args[0]);
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double guess;
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if(args.length == 2) {
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guess = NumericFunction.singleOperandEvaluate(args[1], srcRowIndex, srcColumnIndex);
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} else {
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guess = 0.1d;
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}
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double result = irr(values, guess);
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NumericFunction.checkValue(result);
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return new NumberEval(result);
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} catch (EvaluationException e){
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return e.getErrorEval();
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}
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}
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/**
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* Computes the internal rate of return using an estimated irr of 10 percent.
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*
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* @param income the income values.
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* @return the irr.
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*/
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public static double irr(double[] income) {
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return irr(income, 0.1d);
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}
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/**
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* Calculates IRR using the Newton-Raphson Method.
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* <p>
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* Starting with the guess, the method cycles through the calculation until the result
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* is accurate within 0.00001 percent. If IRR can't find a result that works
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* after 20 tries, the Double.NaN<> is returned.
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* </p>
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* <p>
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* The implementation is inspired by the NewtonSolver from the Apache Commons-Math library,
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* @see {http://commons.apache.org/}
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* </p>
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*
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* @param values the income values.
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* @param guess the initial guess of irr.
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* @return the irr value. The method returns <code>Double.NaN</code>
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* if the maximum iteration count is exceeded
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*
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* @see {http://en.wikipedia.org/wiki/Internal_rate_of_return#Numerical_solution}
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* @see {http://en.wikipedia.org/wiki/Newton%27s_method}
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*/
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public static double irr(double[] values, double guess) {
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int maxIterationCount = 20;
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double absoluteAccuracy = 1E-7;
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double x0 = guess;
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double x1;
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int i = 0;
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while (i < maxIterationCount) {
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// the value of the function (NPV) and its derivate can be calculated in the same loop
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double fValue = 0;
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double fDerivative = 0;
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for (int k = 0; k < values.length; k++) {
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fValue += values[k] / Math.pow(1.0 + x0, k);
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fDerivative += -k * values[k] / Math.pow(1.0 + x0, k + 1);
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}
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// the essense of the Newton-Raphson Method
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x1 = x0 - fValue/fDerivative;
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if (Math.abs(x1 - x0) <= absoluteAccuracy) {
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return x1;
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}
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x0 = x1;
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++i;
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}
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// maximum number of iterations is exceeded
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return Double.NaN;
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}
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}
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@ -17,11 +17,14 @@
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package org.apache.poi.ss.formula.functions;
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import org.apache.poi.ss.formula.TwoDEval;
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import org.apache.poi.ss.formula.eval.ErrorEval;
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import org.apache.poi.ss.formula.eval.EvaluationException;
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import org.apache.poi.ss.formula.eval.NumberEval;
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import org.apache.poi.ss.formula.eval.ValueEval;
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import java.util.Arrays;
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/**
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* Calculates the net present value of an investment by using a discount rate
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* and a series of future payments (negative values) and income (positive
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@ -30,78 +33,27 @@ import org.apache.poi.ss.formula.eval.ValueEval;
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* income.
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*
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* @author SPetrakovsky
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* @author Marcel May
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*/
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public final class Npv implements Function2Arg, Function3Arg, Function4Arg {
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public ValueEval evaluate(int srcRowIndex, int srcColumnIndex, ValueEval arg0, ValueEval arg1) {
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double result;
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try {
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double rate = NumericFunction.singleOperandEvaluate(arg0, srcRowIndex, srcColumnIndex);
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double d1 = NumericFunction.singleOperandEvaluate(arg1, srcRowIndex, srcColumnIndex);
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result = evaluate(rate, d1);
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NumericFunction.checkValue(result);
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} catch (EvaluationException e) {
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return e.getErrorEval();
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}
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return new NumberEval(result);
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}
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public ValueEval evaluate(int srcRowIndex, int srcColumnIndex, ValueEval arg0, ValueEval arg1,
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ValueEval arg2) {
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double result;
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try {
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double rate = NumericFunction.singleOperandEvaluate(arg0, srcRowIndex, srcColumnIndex);
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double d1 = NumericFunction.singleOperandEvaluate(arg1, srcRowIndex, srcColumnIndex);
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double d2 = NumericFunction.singleOperandEvaluate(arg2, srcRowIndex, srcColumnIndex);
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result = evaluate(rate, d1, d2);
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NumericFunction.checkValue(result);
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} catch (EvaluationException e) {
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return e.getErrorEval();
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}
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return new NumberEval(result);
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}
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public ValueEval evaluate(int srcRowIndex, int srcColumnIndex, ValueEval arg0, ValueEval arg1,
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ValueEval arg2, ValueEval arg3) {
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double result;
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try {
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double rate = NumericFunction.singleOperandEvaluate(arg0, srcRowIndex, srcColumnIndex);
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double d1 = NumericFunction.singleOperandEvaluate(arg1, srcRowIndex, srcColumnIndex);
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double d2 = NumericFunction.singleOperandEvaluate(arg2, srcRowIndex, srcColumnIndex);
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double d3 = NumericFunction.singleOperandEvaluate(arg3, srcRowIndex, srcColumnIndex);
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result = evaluate(rate, d1, d2, d3);
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NumericFunction.checkValue(result);
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} catch (EvaluationException e) {
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return e.getErrorEval();
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}
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return new NumberEval(result);
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}
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public final class Npv implements Function {
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public ValueEval evaluate(ValueEval[] args, int srcRowIndex, int srcColumnIndex) {
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int nArgs = args.length;
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if (nArgs<2) {
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if (nArgs < 2) {
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return ErrorEval.VALUE_INVALID;
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}
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int np = nArgs-1;
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double[] ds = new double[np];
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double result;
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try {
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||||
try {
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double rate = NumericFunction.singleOperandEvaluate(args[0], srcRowIndex, srcColumnIndex);
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for (int i = 0; i < ds.length; i++) {
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||||
ds[i] = NumericFunction.singleOperandEvaluate(args[i+1], srcRowIndex, srcColumnIndex);
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}
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result = evaluate(rate, ds);
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||||
// convert tail arguments into an array of doubles
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||||
ValueEval[] vargs = Arrays.copyOfRange(args, 1 , args.length);
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||||
double[] values = AggregateFunction.ValueCollector.collectValues(vargs);
|
||||
|
||||
double result = FinanceLib.npv(rate, values);
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NumericFunction.checkValue(result);
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||||
return new NumberEval(result);
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} catch (EvaluationException e) {
|
||||
return e.getErrorEval();
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||||
}
|
||||
return new NumberEval(result);
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}
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||||
|
||||
private static double evaluate(double rate, double...ds) {
|
||||
double sum = 0;
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||||
for (int i = 0; i < ds.length; i++) {
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sum += ds[i] / Math.pow(rate + 1, i);
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}
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return sum;
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}
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}
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|
|
|
@ -0,0 +1,128 @@
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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.poi.ss.formula.functions;
|
||||
|
||||
import junit.framework.TestCase;
|
||||
import junit.framework.AssertionFailedError;
|
||||
import org.apache.poi.hssf.usermodel.*;
|
||||
import org.apache.poi.hssf.HSSFTestDataSamples;
|
||||
import org.apache.poi.ss.usermodel.CellValue;
|
||||
|
||||
/**
|
||||
* Tests for {@link Irr}
|
||||
*
|
||||
* @author Marcel May
|
||||
*/
|
||||
public final class TestIrr extends TestCase {
|
||||
|
||||
public void testIrr() {
|
||||
// http://en.wikipedia.org/wiki/Internal_rate_of_return#Example
|
||||
double[] incomes = {-4000d, 1200d, 1410d, 1875d, 1050d};
|
||||
double irr = Irr.irr(incomes);
|
||||
double irrRounded = Math.round(irr * 1000d) / 1000d;
|
||||
assertEquals("irr", 0.143d, irrRounded);
|
||||
|
||||
// http://www.techonthenet.com/excel/formulas/irr.php
|
||||
incomes = new double[]{-7500d, 3000d, 5000d, 1200d, 4000d};
|
||||
irr = Irr.irr(incomes);
|
||||
irrRounded = Math.round(irr * 100d) / 100d;
|
||||
assertEquals("irr", 0.28d, irrRounded);
|
||||
|
||||
incomes = new double[]{-10000d, 3400d, 6500d, 1000d};
|
||||
irr = Irr.irr(incomes);
|
||||
irrRounded = Math.round(irr * 100d) / 100d;
|
||||
assertEquals("irr", 0.05, irrRounded);
|
||||
|
||||
incomes = new double[]{100d, -10d, -110d};
|
||||
irr = Irr.irr(incomes);
|
||||
irrRounded = Math.round(irr * 100d) / 100d;
|
||||
assertEquals("irr", 0.1, irrRounded);
|
||||
|
||||
incomes = new double[]{-70000d, 12000, 15000};
|
||||
irr = Irr.irr(incomes, -0.1);
|
||||
irrRounded = Math.round(irr * 100d) / 100d;
|
||||
assertEquals("irr", -0.44, irrRounded);
|
||||
}
|
||||
|
||||
public void testEvaluateInSheet() {
|
||||
HSSFWorkbook wb = new HSSFWorkbook();
|
||||
HSSFSheet sheet = wb.createSheet("Sheet1");
|
||||
HSSFRow row = sheet.createRow(0);
|
||||
|
||||
row.createCell(0).setCellValue(-4000d);
|
||||
row.createCell(1).setCellValue(1200d);
|
||||
row.createCell(2).setCellValue(1410d);
|
||||
row.createCell(3).setCellValue(1875d);
|
||||
row.createCell(4).setCellValue(1050d);
|
||||
|
||||
HSSFCell cell = row.createCell(5);
|
||||
cell.setCellFormula("IRR(A1:E1)");
|
||||
|
||||
HSSFFormulaEvaluator fe = new HSSFFormulaEvaluator(wb);
|
||||
fe.clearAllCachedResultValues();
|
||||
fe.evaluateFormulaCell(cell);
|
||||
double res = cell.getNumericCellValue();
|
||||
assertEquals(0.143d, Math.round(res * 1000d) / 1000d);
|
||||
}
|
||||
|
||||
public void testIrrFromSpreadsheet(){
|
||||
HSSFWorkbook wb = HSSFTestDataSamples.openSampleWorkbook("IrrNpvTestCaseData.xls");
|
||||
HSSFSheet sheet = wb.getSheet("IRR-NPV");
|
||||
HSSFFormulaEvaluator fe = new HSSFFormulaEvaluator(wb);
|
||||
StringBuffer failures = new StringBuffer();
|
||||
int failureCount = 0;
|
||||
// TODO YK: Formulas in rows 16 and 17 operate with ArrayPtg which isn't yet supported
|
||||
// FormulaEvaluator as of r1041407 throws "Unexpected ptg class (org.apache.poi.ss.formula.ptg.ArrayPtg)"
|
||||
for(int rownum = 9; rownum <= 15; rownum++){
|
||||
HSSFRow row = sheet.getRow(rownum);
|
||||
HSSFCell cellA = row.getCell(0);
|
||||
try {
|
||||
CellValue cv = fe.evaluate(cellA);
|
||||
assertFormulaResult(cv, cellA);
|
||||
} catch (Throwable e){
|
||||
if(failures.length() > 0) failures.append('\n');
|
||||
failures.append("Row[" + (cellA.getRowIndex() + 1)+ "]: " + cellA.getCellFormula() + " ");
|
||||
failures.append(e.getMessage());
|
||||
failureCount++;
|
||||
}
|
||||
|
||||
HSSFCell cellC = row.getCell(2); //IRR-NPV relationship: NPV(IRR(values), values) = 0
|
||||
try {
|
||||
CellValue cv = fe.evaluate(cellC);
|
||||
assertEquals(0, cv.getNumberValue(), 0.0001); // should agree within 0.01%
|
||||
} catch (Throwable e){
|
||||
if(failures.length() > 0) failures.append('\n');
|
||||
failures.append("Row[" + (cellC.getRowIndex() + 1)+ "]: " + cellC.getCellFormula() + " ");
|
||||
failures.append(e.getMessage());
|
||||
failureCount++;
|
||||
}
|
||||
}
|
||||
|
||||
if(failures.length() > 0) {
|
||||
throw new AssertionFailedError(failureCount + " IRR assertions failed:\n" + failures.toString());
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
private static void assertFormulaResult(CellValue cv, HSSFCell cell){
|
||||
double actualValue = cv.getNumberValue();
|
||||
double expectedValue = cell.getNumericCellValue(); // cached formula result calculated by Excel
|
||||
assertEquals("Invalid formula result: " + cv.toString(), HSSFCell.CELL_TYPE_NUMERIC, cv.getCellType());
|
||||
assertEquals(expectedValue, actualValue, 1E-4); // should agree within 0.01%
|
||||
}
|
||||
}
|
|
@ -0,0 +1,104 @@
|
|||
/* ====================================================================
|
||||
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.poi.ss.formula.functions;
|
||||
|
||||
import junit.framework.TestCase;
|
||||
import junit.framework.AssertionFailedError;
|
||||
import org.apache.poi.hssf.usermodel.*;
|
||||
import org.apache.poi.hssf.HSSFTestDataSamples;
|
||||
import org.apache.poi.ss.usermodel.Cell;
|
||||
import org.apache.poi.ss.usermodel.Row;
|
||||
import org.apache.poi.ss.usermodel.CellValue;
|
||||
|
||||
/**
|
||||
* Tests for {@link Npv}
|
||||
*
|
||||
* @author Marcel May
|
||||
* @see <a href="http://office.microsoft.com/en-us/excel-help/npv-HP005209199.aspx">Excel Help</a>
|
||||
*/
|
||||
public final class TestNpv extends TestCase {
|
||||
|
||||
public void testEvaluateInSheetExample2() {
|
||||
HSSFWorkbook wb = new HSSFWorkbook();
|
||||
HSSFSheet sheet = wb.createSheet("Sheet1");
|
||||
HSSFRow row = sheet.createRow(0);
|
||||
|
||||
sheet.createRow(1).createCell(0).setCellValue(0.08d);
|
||||
sheet.createRow(2).createCell(0).setCellValue(-40000d);
|
||||
sheet.createRow(3).createCell(0).setCellValue(8000d);
|
||||
sheet.createRow(4).createCell(0).setCellValue(9200d);
|
||||
sheet.createRow(5).createCell(0).setCellValue(10000d);
|
||||
sheet.createRow(6).createCell(0).setCellValue(12000d);
|
||||
sheet.createRow(7).createCell(0).setCellValue(14500d);
|
||||
|
||||
HSSFCell cell = row.createCell(8);
|
||||
HSSFFormulaEvaluator fe = new HSSFFormulaEvaluator(wb);
|
||||
|
||||
// Enumeration
|
||||
cell.setCellFormula("NPV(A2, A4,A5,A6,A7,A8)+A3");
|
||||
fe.clearAllCachedResultValues();
|
||||
fe.evaluateFormulaCell(cell);
|
||||
double res = cell.getNumericCellValue();
|
||||
assertEquals(1922.06d, Math.round(res * 100d) / 100d);
|
||||
|
||||
// Range
|
||||
cell.setCellFormula("NPV(A2, A4:A8)+A3");
|
||||
|
||||
fe.clearAllCachedResultValues();
|
||||
fe.evaluateFormulaCell(cell);
|
||||
res = cell.getNumericCellValue();
|
||||
assertEquals(1922.06d, Math.round(res * 100d) / 100d);
|
||||
}
|
||||
|
||||
/**
|
||||
* evaluate formulas with NPV and compare the result with
|
||||
* the cached formula result pre-calculated by Excel
|
||||
*/
|
||||
public void testNpvFromSpreadsheet(){
|
||||
HSSFWorkbook wb = HSSFTestDataSamples.openSampleWorkbook("IrrNpvTestCaseData.xls");
|
||||
HSSFSheet sheet = wb.getSheet("IRR-NPV");
|
||||
HSSFFormulaEvaluator fe = new HSSFFormulaEvaluator(wb);
|
||||
StringBuffer failures = new StringBuffer();
|
||||
int failureCount = 0;
|
||||
// TODO YK: Formulas in rows 16 and 17 operate with ArrayPtg which isn't yet supported
|
||||
// FormulaEvaluator as of r1041407 throws "Unexpected ptg class (org.apache.poi.ss.formula.ptg.ArrayPtg)"
|
||||
for(int rownum = 9; rownum <= 15; rownum++){
|
||||
HSSFRow row = sheet.getRow(rownum);
|
||||
HSSFCell cellB = row.getCell(1);
|
||||
try {
|
||||
CellValue cv = fe.evaluate(cellB);
|
||||
assertFormulaResult(cv, cellB);
|
||||
} catch (Throwable e){
|
||||
if(failures.length() > 0) failures.append('\n');
|
||||
failures.append("Row[" + (cellB.getRowIndex() + 1)+ "]: " + cellB.getCellFormula() + " ");
|
||||
failures.append(e.getMessage());
|
||||
failureCount++;
|
||||
}
|
||||
}
|
||||
|
||||
if(failures.length() > 0) {
|
||||
throw new AssertionFailedError(failureCount + " IRR evaluations failed:\n" + failures.toString());
|
||||
}
|
||||
}
|
||||
|
||||
private static void assertFormulaResult(CellValue cv, HSSFCell cell){
|
||||
double actualValue = cv.getNumberValue();
|
||||
double expectedValue = cell.getNumericCellValue(); // cached formula result calculated by Excel
|
||||
assertEquals(expectedValue, actualValue, 1E-4); // should agree within 0.01%
|
||||
}
|
||||
}
|
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