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