mirror of https://github.com/apache/poi.git
add FORECAST and FORECAST.LINEAR functions
git-svn-id: https://svn.apache.org/repos/asf/poi/trunk@1901689 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
parent
1bae0a43bf
commit
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@ -118,6 +118,7 @@ public final class AnalysisToolPak implements UDFFinder {
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r(m, "FACTDOUBLE", FactDouble.instance);
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r(m, "FACTDOUBLE", FactDouble.instance);
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r(m, "FLOOR.MATH", FloorMath.instance);
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r(m, "FLOOR.MATH", FloorMath.instance);
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r(m, "FLOOR.PRECISE", FloorPrecise.instance);
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r(m, "FLOOR.PRECISE", FloorPrecise.instance);
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r(m, "FORECAST.LINEAR", Forecast.instance);
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r(m, "FVSCHEDULE", null);
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r(m, "FVSCHEDULE", null);
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r(m, "GCD", Gcd.instance);
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r(m, "GCD", Gcd.instance);
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r(m, "GESTEP", null);
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r(m, "GESTEP", null);
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@ -289,7 +289,7 @@ public final class FunctionEval {
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// 306: CHITEST
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// 306: CHITEST
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retval[307] = Correl.instance;
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retval[307] = Correl.instance;
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retval[308] = Covar.instanceP;
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retval[308] = Covar.instanceP;
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// 309: FORECAST
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retval[309] = Forecast.instance;
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// 310: FTEST
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// 310: FTEST
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retval[311] = new Intercept();
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retval[311] = new Intercept();
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retval[312] = Correl.instance;
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retval[312] = Correl.instance;
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@ -30,9 +30,9 @@ import org.apache.poi.ss.formula.eval.ValueEval;
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import java.util.Arrays;
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import java.util.Arrays;
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import java.util.List;
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import java.util.List;
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abstract class TwoArrayFunction extends Fixed2ArgFunction {
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final class ArrayFunctionUtils {
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protected List<DoubleList> getNumberArrays(ValueEval operand0, ValueEval operand1) throws EvaluationException {
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static List<DoubleList> getNumberArrays(ValueEval operand0, ValueEval operand1) throws EvaluationException {
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double[] retval0 = collectValuesWithBlanks(operand0).toArray();
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double[] retval0 = collectValuesWithBlanks(operand0).toArray();
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double[] retval1 = collectValuesWithBlanks(operand1).toArray();
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double[] retval1 = collectValuesWithBlanks(operand1).toArray();
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if (retval0.length != retval1.length) {
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if (retval0.length != retval1.length) {
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@ -52,7 +52,7 @@ abstract class TwoArrayFunction extends Fixed2ArgFunction {
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return Arrays.asList(filtered0, filtered1);
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return Arrays.asList(filtered0, filtered1);
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}
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}
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private DoubleList collectValuesWithBlanks(ValueEval operand) throws EvaluationException {
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private static DoubleList collectValuesWithBlanks(ValueEval operand) throws EvaluationException {
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DoubleList doubleList = new DoubleList();
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DoubleList doubleList = new DoubleList();
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if (operand instanceof ThreeDEval) {
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if (operand instanceof ThreeDEval) {
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ThreeDEval ae = (ThreeDEval) operand;
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ThreeDEval ae = (ThreeDEval) operand;
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@ -111,7 +111,7 @@ abstract class TwoArrayFunction extends Fixed2ArgFunction {
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return doubleList;
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return doubleList;
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}
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}
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private Double collectValue(ValueEval ve) throws EvaluationException {
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private static Double collectValue(ValueEval ve) throws EvaluationException {
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if (ve == null) {
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if (ve == null) {
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throw new IllegalArgumentException("ve must not be null");
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throw new IllegalArgumentException("ve must not be null");
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}
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}
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@ -24,6 +24,8 @@ import org.apache.poi.ss.formula.eval.ValueEval;
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import java.util.List;
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import java.util.List;
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import static org.apache.poi.ss.formula.functions.ArrayFunctionUtils.getNumberArrays;
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/**
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/**
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* Implementation for Excel CORREL() function.
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* Implementation for Excel CORREL() function.
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* <p>
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* <p>
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@ -38,7 +40,7 @@ import java.util.List;
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* See https://support.microsoft.com/en-us/office/correl-function-995dcef7-0c0a-4bed-a3fb-239d7b68ca92
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* See https://support.microsoft.com/en-us/office/correl-function-995dcef7-0c0a-4bed-a3fb-239d7b68ca92
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* </p>
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* </p>
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*/
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*/
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public class Correl extends TwoArrayFunction {
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public class Correl extends Fixed2ArgFunction {
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public static final Correl instance = new Correl();
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public static final Correl instance = new Correl();
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@ -26,6 +26,8 @@ import org.apache.poi.ss.formula.eval.ValueEval;
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import java.util.List;
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import java.util.List;
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import static org.apache.poi.ss.formula.functions.ArrayFunctionUtils.getNumberArrays;
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/**
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/**
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* Implementation for Excel COVAR() and COVARIANCE.P() functions.
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* Implementation for Excel COVAR() and COVARIANCE.P() functions.
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* <p>
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* <p>
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@ -35,7 +37,7 @@ import java.util.List;
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* @see <a href="https://support.microsoft.com/en-us/office/covariance-p-function-6f0e1e6d-956d-4e4b-9943-cfef0bf9edfc">COVARIANCE.P</a>
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* @see <a href="https://support.microsoft.com/en-us/office/covariance-p-function-6f0e1e6d-956d-4e4b-9943-cfef0bf9edfc">COVARIANCE.P</a>
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* </p>
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* </p>
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*/
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*/
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public class Covar extends TwoArrayFunction implements FreeRefFunction {
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public class Covar extends Fixed2ArgFunction implements FreeRefFunction {
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public static final Covar instanceP = new Covar(false);
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public static final Covar instanceP = new Covar(false);
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public static final Covar instanceS = new Covar(true);
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public static final Covar instanceS = new Covar(true);
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@ -0,0 +1,93 @@
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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.OperationEvaluationContext;
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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.OperandResolver;
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import org.apache.poi.ss.formula.eval.ValueEval;
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import java.util.List;
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import static org.apache.poi.ss.formula.functions.ArrayFunctionUtils.getNumberArrays;
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/**
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* Implementation for Excel FORECAST() and FORECAST.LINEAR() functions.
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* <p>
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* <b>Syntax</b>:<br> <b>FORECAST </b>(<b>number</b>, <b>array1</b>, <b>array2</b>)<br>
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* </p>
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* <p>
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* See https://support.microsoft.com/en-us/office/forecast-and-forecast-linear-functions-50ca49c9-7b40-4892-94e4-7ad38bbeda99
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* </p>
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*/
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public class Forecast extends Fixed3ArgFunction implements FreeRefFunction {
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public static final Forecast instance = new Forecast();
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private Forecast() {}
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@Override
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public ValueEval evaluate(int srcRowIndex, int srcColumnIndex, ValueEval arg0, ValueEval arg1, ValueEval arg2) {
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try {
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final Double x = evaluateValue(arg0, srcRowIndex, srcColumnIndex);
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if (x == null || x.isNaN() || x.isInfinite()) {
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return ErrorEval.VALUE_INVALID;
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}
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final List<DoubleList> arrays = getNumberArrays(arg1, arg2);
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final double[] arrY = arrays.get(0).toArray();
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final double[] arrX = arrays.get(1).toArray();
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final double averageY = MathX.average(arrY);
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final double averageX = MathX.average(arrX);
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double bnum = 0;
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double bdem = 0;
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final int len = arrY.length;
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for (int i = 0; i < len; i++) {
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double diff0 = arrX[i] - averageX;
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bnum += diff0 * (arrY[i] - averageY);
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bdem += Math.pow(diff0, 2);
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}
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if (bdem == 0) {
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return ErrorEval.DIV_ZERO;
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}
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final double b = bnum / bdem;
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final double a = averageY - (b * averageX);
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final double res = a + (b * x);
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return new NumberEval(res);
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} catch (EvaluationException e) {
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return e.getErrorEval();
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} catch (Exception e) {
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return ErrorEval.NA;
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}
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}
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@Override
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public ValueEval evaluate(ValueEval[] args, OperationEvaluationContext ec) {
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if (args.length != 3) {
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return ErrorEval.VALUE_INVALID;
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}
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return evaluate(ec.getRowIndex(), ec.getColumnIndex(), args[0], args[1], args[2]);
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}
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private static Double evaluateValue(ValueEval arg, int srcRowIndex, int srcColumnIndex) throws EvaluationException {
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ValueEval veText = OperandResolver.getSingleValue(arg, srcRowIndex, srcColumnIndex);
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String strText1 = OperandResolver.coerceValueToString(veText);
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return OperandResolver.parseDouble(strText1);
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}
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}
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@ -60,6 +60,7 @@ final class TestCorrel {
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assertDouble(fe, cell, "PEARSON(A2:A6,B2:B6)", 0.699379, 0.0000005);
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assertDouble(fe, cell, "PEARSON(A2:A6,B2:B6)", 0.699379, 0.0000005);
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}
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}
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}
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}
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@Test
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@Test
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void testBlankValue() throws IOException {
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void testBlankValue() throws IOException {
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try (HSSFWorkbook wb = initWorkbook1(null)) {
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try (HSSFWorkbook wb = initWorkbook1(null)) {
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@ -0,0 +1,63 @@
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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.HSSFRow;
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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.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 Forecast}
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*/
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final class TestForecast {
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//https://support.microsoft.com/en-us/office/forecast-and-forecast-linear-functions-50ca49c9-7b40-4892-94e4-7ad38bbeda99
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@Test
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void testMicrosoftExample1() throws IOException {
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try (HSSFWorkbook wb = initWorkbook1()) {
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HSSFSheet sheet = wb.getSheetAt(0);
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HSSFRow row = sheet.getRow(0);
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HSSFCell cell = row.createCell(100);
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HSSFFormulaEvaluator fe = new HSSFFormulaEvaluator(wb);
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assertDouble(fe, cell, "FORECAST(30,A2:A6,B2:B6)", 10.607253, 0.0000001);
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assertDouble(fe, cell, "FORECAST.LINEAR(30,A2:A6,B2:B6)", 10.607253, 0.0000001);
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}
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}
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private HSSFWorkbook initWorkbook1() {
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HSSFWorkbook wb = new HSSFWorkbook();
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HSSFSheet sheet = wb.createSheet();
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addRow(sheet, 0, "Known X", "Known Y");
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addRow(sheet, 1, 6, 20);
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addRow(sheet, 2, 7, 28);
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addRow(sheet, 3, 9, 31);
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addRow(sheet, 4, 15, 38);
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addRow(sheet, 5, 21, 40);
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return wb;
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}
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}
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