mirror of https://github.com/apache/poi.git
[bug-66095] support POISSON.DIST function (POISSON already supported)
git-svn-id: https://svn.apache.org/repos/asf/poi/trunk@1901371 13f79535-47bb-0310-9956-ffa450edef68
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@ -166,9 +166,10 @@ public final class AnalysisToolPak implements UDFFinder {
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r(m, "ODDFYIELD", null);
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r(m, "ODDLPRICE", null);
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r(m, "ODDLYIELD", null);
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r(m, "PRICE", null);
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r(m, "PERCENTRANK.EXC", PercentRankExcFunction.instance);
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r(m, "PERCENTRANK.INC", PercentRankIncFunction.instance);
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r(m, "POISSON.DIST", Poisson.instance);
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r(m, "PRICE", null);
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r(m, "PRICEDISC", null);
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r(m, "PRICEMAT", null);
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r(m, "QUOTIENT", Quotient.instance);
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@ -17,25 +17,28 @@
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package org.apache.poi.ss.formula.functions;
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import org.apache.poi.ss.formula.OperationEvaluationContext;
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import org.apache.poi.ss.formula.eval.BoolEval;
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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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public class Poisson {
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public class Poisson implements FreeRefFunction {
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private static final double DEFAULT_RETURN_RESULT =1;
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public static final Poisson instance = new Poisson();
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private static final double DEFAULT_RETURN_RESULT = 1;
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/** All long-representable factorials */
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private static final long[] FACTORIALS = {
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1L, 1L, 2L,
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1L, 1L, 2L,
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6L, 24L, 120L,
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720L, 5040L, 40320L,
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362880L, 3628800L, 39916800L,
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479001600L, 6227020800L, 87178291200L,
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1307674368000L, 20922789888000L, 355687428096000L,
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6402373705728000L, 121645100408832000L, 2432902008176640000L };
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6402373705728000L, 121645100408832000L, 2432902008176640000L };
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/**
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* This checks is x = 0 and the mean = 0.
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@ -77,6 +80,11 @@ public class Poisson {
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return FACTORIALS[n];
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}
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@Override
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public ValueEval evaluate(ValueEval[] args, OperationEvaluationContext ec) {
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return evaluate(args, ec.getRowIndex(), ec.getColumnIndex());
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}
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public static ValueEval evaluate(ValueEval[] args, int srcRowIndex, int srcColumnIndex) {
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if (args.length != 3) {
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return ErrorEval.VALUE_INVALID;
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@ -87,7 +95,12 @@ public class Poisson {
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try {
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// arguments/result for this function
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double x = NumericFunction.singleOperandEvaluate(arg0, srcRowIndex, srcColumnIndex);
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double x;
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try {
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x = NumericFunction.singleOperandEvaluate(arg0, srcRowIndex, srcColumnIndex);
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} catch (EvaluationException ee) {
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return ErrorEval.VALUE_INVALID;
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}
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double mean = NumericFunction.singleOperandEvaluate(arg1, srcRowIndex, srcColumnIndex);
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// check for default result : excel implementation for 0,0
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@ -0,0 +1,77 @@
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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.hssf.usermodel.HSSFCell;
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import org.apache.poi.hssf.usermodel.HSSFFormulaEvaluator;
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import org.apache.poi.hssf.usermodel.HSSFSheet;
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import org.apache.poi.hssf.usermodel.HSSFWorkbook;
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import org.apache.poi.ss.formula.OperationEvaluationContext;
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import org.apache.poi.ss.usermodel.FormulaError;
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import org.junit.jupiter.api.Test;
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import java.io.IOException;
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import static org.apache.poi.ss.util.Utils.addRow;
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import static org.apache.poi.ss.util.Utils.assertDouble;
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import static org.apache.poi.ss.util.Utils.assertError;
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/**
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* Tests for {@link Poisson}
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*/
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final class TestPoissonDist {
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private static final OperationEvaluationContext ec = new OperationEvaluationContext(null, null, 0, 0, 0, null);
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//https://support.microsoft.com/en-us/office/poisson-dist-function-8fe148ff-39a2-46cb-abf3-7772695d9636
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@Test
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void testMicrosoftExample1() throws IOException {
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try (HSSFWorkbook wb = new HSSFWorkbook()) {
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HSSFSheet sheet = wb.createSheet();
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addRow(sheet, 0, "Data", "Description");
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addRow(sheet, 1, 2);
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addRow(sheet, 2, 5);
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HSSFFormulaEvaluator fe = new HSSFFormulaEvaluator(wb);
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HSSFCell cell = wb.getSheetAt(0).getRow(0).createCell(100);
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assertDouble(fe, cell, "POISSON.DIST(A2,A3,TRUE)", 0.12465201948308113, 0.00000000000001);
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assertDouble(fe, cell, "POISSON.DIST(A2,A3,FALSE)", 0.08422433748856833, 0.00000000000001);
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assertDouble(fe, cell, "POISSON(A2,A3,TRUE)", 0.12465201948308113, 0.00000000000001);
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assertDouble(fe, cell, "POISSON(A2,A3,FALSE)", 0.08422433748856833, 0.00000000000001);
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assertDouble(fe, cell, "POISSON(2.1,5,FALSE)", 0.08422433748856833, 0.00000000000001);
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assertDouble(fe, cell, "POISSON(2.9,5,FALSE)", 0.08422433748856833, 0.00000000000001);
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}
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}
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@Test
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void testInvalid() throws IOException {
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try (HSSFWorkbook wb = new HSSFWorkbook()) {
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HSSFSheet sheet = wb.createSheet();
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addRow(sheet, 0, "Data", "Description");
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addRow(sheet, 1, 2);
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addRow(sheet, 2, 5);
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HSSFFormulaEvaluator fe = new HSSFFormulaEvaluator(wb);
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HSSFCell cell = wb.getSheetAt(0).getRow(0).createCell(100);
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assertError(fe, cell, "POISSON.DIST(A2,A3)", FormulaError.VALUE);
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assertError(fe, cell, "POISSON.DIST(\"abc\",A3,TRUE)", FormulaError.VALUE);
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assertError(fe, cell, "POISSON.DIST(A2,\"A3\",TRUE)", FormulaError.VALUE);
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assertError(fe, cell, "POISSON.DIST(-1,A3,TRUE)", FormulaError.NUM);
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assertError(fe, cell, "POISSON.DIST(A2,-5,TRUE)", FormulaError.NUM);
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}
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}
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}
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