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normdist (init work)
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@ -272,7 +272,7 @@ public final class FunctionEval {
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// 290: LOGNORMDIST
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// 291: LOGINV
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// 292: NEGBINOMDIST
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// 293: NORMDIST
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retval[293] = NormDist.instance;
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// 294: NORMSDIST
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// 295: NORMINV
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// 296: NORMSINV
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@ -0,0 +1,88 @@
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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.commons.math3.distribution.NormalDistribution;
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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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/**
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* Implementation for Excel NORMDIST() function.<p>
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* https://support.microsoft.com/en-us/office/normdist-function-126db625-c53e-4591-9a22-c9ff422d6d58
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*/
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public final class NormDist extends Fixed4ArgFunction implements FreeRefFunction {
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public static final NormDist instance = new NormDist();
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static double probability(double x, double mean, double stdev, boolean cumulative) {
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NormalDistribution normalDistribution = new NormalDistribution(mean, stdev);
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return cumulative ? normalDistribution.cumulativeProbability(x) : normalDistribution.probability(x);
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}
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@Override
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public ValueEval evaluate(int srcRowIndex, int srcColumnIndex, ValueEval arg1, ValueEval arg2,
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ValueEval arg3, ValueEval arg4) {
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try {
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Double xval = evaluateValue(arg1, srcRowIndex, srcColumnIndex);
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if (xval == null) {
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return ErrorEval.VALUE_INVALID;
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} else if (xval < 0) {
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return ErrorEval.NUM_ERROR;
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}
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Double mean = evaluateValue(arg2, srcRowIndex, srcColumnIndex);
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if (mean == null) {
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return ErrorEval.VALUE_INVALID;
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}
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Double stdev = evaluateValue(arg3, srcRowIndex, srcColumnIndex);
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if (stdev == null) {
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return ErrorEval.VALUE_INVALID;
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} else if (stdev.doubleValue() <= 0) {
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return ErrorEval.NUM_ERROR;
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}
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Boolean cumulative = OperandResolver.coerceValueToBoolean(arg4, false);
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if (cumulative == null) {
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return ErrorEval.VALUE_INVALID;
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}
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return new NumberEval(probability(
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xval.doubleValue(), mean.doubleValue(), stdev.doubleValue(), cumulative.booleanValue()));
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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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@Override
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public ValueEval evaluate(ValueEval[] args, OperationEvaluationContext ec) {
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if (args.length == 4) {
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return evaluate(ec.getRowIndex(), ec.getColumnIndex(), args[0], args[1], args[2], args[3]);
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}
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return ErrorEval.VALUE_INVALID;
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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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@ -0,0 +1,104 @@
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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.formula.eval.BlankEval;
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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.NumberEval;
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import org.apache.poi.ss.formula.eval.StringEval;
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import org.apache.poi.ss.formula.eval.ValueEval;
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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.junit.jupiter.api.Assertions.assertEquals;
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/**
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* Tests for {@link NormDist}
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*/
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final class TestNormDist {
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private static final OperationEvaluationContext ec = new OperationEvaluationContext(null, null, 0, 0, 0, null);
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@Test
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void testBasic() {
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confirmValue("42", "40", "1.5", true, 0.9087888);
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//TODO needs investigation
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//confirmValue("42", "40", "1.5", false, 0.10934);
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}
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@Test
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void testInvalid() {
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confirmInvalidError("A1","B2","C2", false);
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}
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@Test
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void testNumError() {
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confirmNumError("42","40","0", false);
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confirmNumError("42","40","0", true);
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confirmNumError("42","40","-0.1", false);
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confirmNumError("42","40","-0.1", true);
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}
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//https://support.microsoft.com/en-us/office/normdist-function-126db625-c53e-4591-9a22-c9ff422d6d58
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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, 42, "Value for which you want the distribution");
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addRow(sheet, 2, 40, "Arithmetic mean of the distribution");
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addRow(sheet, 3, 1.5, "Standard deviation of the distribution");
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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, "NORMDIST(A2,A3,A4,TRUE)", 0.9087888, 0.000001);
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}
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}
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private static ValueEval invokeValue(String number1, String number2, String number3, boolean cumulative) {
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ValueEval[] args = new ValueEval[] { new StringEval(number1), new StringEval(number2), new StringEval(number3), BoolEval.valueOf(cumulative)};
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return NormDist.instance.evaluate(args, ec);
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}
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private static void confirmValue(String number1, String number2, String number3, boolean cumulative, double expected) {
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ValueEval result = invokeValue(number1, number2, number3, cumulative);
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assertEquals(NumberEval.class, result.getClass());
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assertEquals(expected, ((NumberEval) result).getNumberValue(), 0.0000001);
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}
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private static void confirmInvalidError(String number1, String number2, String number3, boolean cumulative) {
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ValueEval result = invokeValue(number1, number2, number3, cumulative);
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assertEquals(ErrorEval.class, result.getClass());
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assertEquals(ErrorEval.VALUE_INVALID, result);
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}
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private static void confirmNumError(String number1, String number2, String number3, boolean cumulative) {
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ValueEval result = invokeValue(number1, number2, number3, cumulative);
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assertEquals(ErrorEval.class, result.getClass());
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assertEquals(ErrorEval.NUM_ERROR, result);
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}
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}
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