112 lines
3.4 KiB
Java
112 lines
3.4 KiB
Java
/* ====================================================================
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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.hssf.record.formula.functions;
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import junit.framework.TestCase;
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import org.apache.poi.hssf.record.formula.eval.BoolEval;
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import org.apache.poi.hssf.record.formula.eval.ErrorEval;
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import org.apache.poi.hssf.record.formula.eval.NumberEval;
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import org.apache.poi.hssf.record.formula.eval.ValueEval;
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/**
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* Tests for Excel function POISSON(x,mean,cumulative)
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* @author Kalpesh Parmar
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*/
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public class TestPoisson extends TestCase {
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private static final double DELTA = 1E-15;
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private static ValueEval invokePoisson(double x, double mean, boolean cumulative)
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{
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ValueEval[] valueEvals = new ValueEval[3];
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valueEvals[0] = new NumberEval(x);
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valueEvals[1] = new NumberEval(mean);
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valueEvals[2] = BoolEval.valueOf(cumulative);
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return NumericFunction.POISSON.evaluate(valueEvals,-1,-1);
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}
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public void testCumulativeProbability()
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{
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double x = 1;
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double mean = 0.2;
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double result = 0.9824769036935787; // known result
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NumberEval myResult = (NumberEval)invokePoisson(x,mean,true);
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assertEquals(myResult.getNumberValue(), result, DELTA);
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}
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public void testNonCumulativeProbability()
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{
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double x = 0;
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double mean = 0.2;
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double result = 0.8187307530779818; // known result
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NumberEval myResult = (NumberEval)invokePoisson(x,mean,false);
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assertEquals(myResult.getNumberValue(), result, DELTA);
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}
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public void testNegativeMean()
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{
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double x = 0;
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double mean = -0.2;
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ErrorEval myResult = (ErrorEval)invokePoisson(x,mean,false);
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assertEquals(ErrorEval.NUM_ERROR.getErrorCode(), myResult.getErrorCode());
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}
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public void testNegativeX()
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{
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double x = -1;
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double mean = 0.2;
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ErrorEval myResult = (ErrorEval)invokePoisson(x,mean,false);
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assertEquals(ErrorEval.NUM_ERROR.getErrorCode(), myResult.getErrorCode());
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}
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public void testXAsDecimalNumber()
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{
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double x = 1.1;
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double mean = 0.2;
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double result = 0.9824769036935787; // known result
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NumberEval myResult = (NumberEval)invokePoisson(x,mean,true);
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assertEquals(myResult.getNumberValue(), result, DELTA);
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}
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public void testXZeroMeanZero()
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{
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double x = 0;
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double mean = 0;
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double result = 1; // known result in excel
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NumberEval myResult = (NumberEval)invokePoisson(x,mean,true);
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assertEquals(myResult.getNumberValue(), result, DELTA);
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}
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}
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