mirror of https://github.com/apache/lucene.git
SOLR-11436: Add polyfit and polyfitDerivative Stream Evaluators
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@ -308,6 +308,8 @@ public class StreamHandler extends RequestHandlerBase implements SolrCoreAware,
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.withFunctionName("zipFDistribution", ZipFDistributionEvaluator.class)
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.withFunctionName("gammaDistribution", GammaDistributionEvaluator.class)
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.withFunctionName("betaDistribution", BetaDistributionEvaluator.class)
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.withFunctionName("polyfit", PolyFitEvaluator.class)
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.withFunctionName("polyfitDerivative", PolyFitDerivativeEvaluator.class)
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// Boolean Stream Evaluators
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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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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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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.solr.client.solrj.io.eval;
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import java.io.IOException;
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import java.math.BigDecimal;
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import java.util.List;
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import java.util.ArrayList;
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import org.apache.commons.math3.analysis.UnivariateFunction;
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import org.apache.commons.math3.analysis.polynomials.PolynomialFunction;
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import org.apache.commons.math3.fitting.PolynomialCurveFitter;
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import org.apache.commons.math3.fitting.WeightedObservedPoints;
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import org.apache.solr.client.solrj.io.stream.expr.StreamExpression;
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import org.apache.solr.client.solrj.io.stream.expr.StreamFactory;
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public class PolyFitDerivativeEvaluator extends RecursiveNumericEvaluator implements ManyValueWorker {
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protected static final long serialVersionUID = 1L;
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public PolyFitDerivativeEvaluator(StreamExpression expression, StreamFactory factory) throws IOException{
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super(expression, factory);
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}
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@Override
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public Object doWork(Object... objects) throws IOException{
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if(objects.length > 3) {
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throw new IOException("polyfitDerivative function takes a maximum of 3 arguments.");
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}
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Object first = objects[0];
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double[] x = null;
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double[] y = null;
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int degree = 3;
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if(objects.length == 1) {
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//Only the y values passed
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y = ((List) first).stream().mapToDouble(value -> ((BigDecimal) value).doubleValue()).toArray();
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x = new double[y.length];
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for(int i=0; i<y.length; i++) {
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x[i] = i;
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}
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} else if(objects.length == 3) {
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// x, y and degree passed
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Object second = objects[1];
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x = ((List) first).stream().mapToDouble(value -> ((BigDecimal) value).doubleValue()).toArray();
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y = ((List) second).stream().mapToDouble(value -> ((BigDecimal) value).doubleValue()).toArray();
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degree = ((Number)objects[2]).intValue();
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} else if(objects.length == 2) {
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if(objects[1] instanceof List) {
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// x and y passed
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Object second = objects[1];
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x = ((List) first).stream().mapToDouble(value -> ((BigDecimal) value).doubleValue()).toArray();
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y = ((List) second).stream().mapToDouble(value -> ((BigDecimal) value).doubleValue()).toArray();
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} else {
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// y and degree passed
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y = ((List) first).stream().mapToDouble(value -> ((BigDecimal) value).doubleValue()).toArray();
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x = new double[y.length];
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for(int i=0; i<y.length; i++) {
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x[i] = i;
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}
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degree = ((Number)objects[1]).intValue();
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}
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}
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PolynomialCurveFitter curveFitter = PolynomialCurveFitter.create(degree);
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WeightedObservedPoints points = new WeightedObservedPoints();
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for(int i=0; i<x.length; i++) {
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points.add(x[i], y[i]);
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}
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double[] coef = curveFitter.fit(points.toList());
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PolynomialFunction pf = new PolynomialFunction(coef);
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UnivariateFunction univariateFunction = pf.derivative();
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List list = new ArrayList();
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for(double xvalue : x) {
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double yvalue= univariateFunction.value(xvalue);
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list.add(yvalue);
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}
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return list;
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}
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}
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@ -0,0 +1,102 @@
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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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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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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.solr.client.solrj.io.eval;
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import java.io.IOException;
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import java.math.BigDecimal;
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import java.util.List;
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import java.util.ArrayList;
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import org.apache.commons.math3.analysis.polynomials.PolynomialFunction;
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import org.apache.commons.math3.fitting.PolynomialCurveFitter;
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import org.apache.commons.math3.fitting.WeightedObservedPoints;
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import org.apache.solr.client.solrj.io.stream.expr.StreamExpression;
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import org.apache.solr.client.solrj.io.stream.expr.StreamFactory;
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public class PolyFitEvaluator extends RecursiveNumericEvaluator implements ManyValueWorker {
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protected static final long serialVersionUID = 1L;
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public PolyFitEvaluator(StreamExpression expression, StreamFactory factory) throws IOException{
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super(expression, factory);
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}
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@Override
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public Object doWork(Object... objects) throws IOException{
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if(objects.length > 3) {
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throw new IOException("polyfit function takes a maximum of 3 arguments.");
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}
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Object first = objects[0];
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double[] x = null;
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double[] y = null;
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int degree = 3;
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if(objects.length == 1) {
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//Only the y values passed
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y = ((List) first).stream().mapToDouble(value -> ((BigDecimal) value).doubleValue()).toArray();
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x = new double[y.length];
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for(int i=0; i<y.length; i++) {
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x[i] = i;
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}
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} else if(objects.length == 3) {
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// x, y and degree passed
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Object second = objects[1];
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x = ((List) first).stream().mapToDouble(value -> ((BigDecimal) value).doubleValue()).toArray();
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y = ((List) second).stream().mapToDouble(value -> ((BigDecimal) value).doubleValue()).toArray();
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degree = ((Number)objects[2]).intValue();
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} else if(objects.length == 2) {
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if(objects[1] instanceof List) {
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// x and y passed
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Object second = objects[1];
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x = ((List) first).stream().mapToDouble(value -> ((BigDecimal) value).doubleValue()).toArray();
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y = ((List) second).stream().mapToDouble(value -> ((BigDecimal) value).doubleValue()).toArray();
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} else {
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// y and degree passed
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y = ((List) first).stream().mapToDouble(value -> ((BigDecimal) value).doubleValue()).toArray();
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x = new double[y.length];
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for(int i=0; i<y.length; i++) {
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x[i] = i;
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}
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degree = ((Number)objects[1]).intValue();
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}
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}
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PolynomialCurveFitter curveFitter = PolynomialCurveFitter.create(degree);
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WeightedObservedPoints points = new WeightedObservedPoints();
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for(int i=0; i<x.length; i++) {
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points.add(x[i], y[i]);
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}
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double[] coef = curveFitter.fit(points.toList());
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PolynomialFunction pf = new PolynomialFunction(coef);
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List list = new ArrayList();
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for(double xvalue : x) {
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double yvalue= pf.value(xvalue);
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list.add(yvalue);
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}
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return list;
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}
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}
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@ -6541,6 +6541,44 @@ public class StreamExpressionTest extends SolrCloudTestCase {
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assertTrue(out.get(5).intValue() == -6);
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}
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@Test
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public void testPolyfit() throws Exception {
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String cexpr = "let(echo=true," +
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" a=array(0,1,2,3,4,5,6,7)," +
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" fit=polyfit(a, 1)," +
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" deriv=polyfitDerivative(a, 1))";
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ModifiableSolrParams paramsLoc = new ModifiableSolrParams();
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paramsLoc.set("expr", cexpr);
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paramsLoc.set("qt", "/stream");
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String url = cluster.getJettySolrRunners().get(0).getBaseUrl().toString()+"/"+COLLECTIONORALIAS;
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TupleStream solrStream = new SolrStream(url, paramsLoc);
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StreamContext context = new StreamContext();
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solrStream.setStreamContext(context);
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List<Tuple> tuples = getTuples(solrStream);
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assertTrue(tuples.size() == 1);
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List<Number> out = (List<Number>)tuples.get(0).get("fit");
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assertTrue(out.size() == 8);
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assertTrue(out.get(0).intValue() == 0);
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assertTrue(out.get(1).intValue() == 1);
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assertTrue(out.get(2).intValue() == 2);
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assertTrue(out.get(3).intValue() == 3);
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assertTrue(out.get(4).intValue() == 4);
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assertTrue(out.get(5).intValue() == 5);
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assertTrue(out.get(6).intValue() == 6);
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assertTrue(out.get(7).intValue() == 7);
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out = (List<Number>)tuples.get(0).get("deriv");
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assertTrue(out.size() == 8);
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assertTrue(out.get(0).intValue() == 1);
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assertTrue(out.get(1).intValue() == 1);
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assertTrue(out.get(2).intValue() == 1);
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assertTrue(out.get(3).intValue() == 1);
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assertTrue(out.get(4).intValue() == 1);
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assertTrue(out.get(5).intValue() == 1);
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assertTrue(out.get(6).intValue() == 1);
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assertTrue(out.get(7).intValue() == 1);
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}
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@Test
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public void testAnova() throws Exception {
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