Merge RankEvalResult with Response
The current response object only serves as a wrapper around the result object. This change merges the two classes into one.
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4385b29f80
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@ -38,42 +38,64 @@ import java.util.Map;
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* Documents of unknown quality - i.e. those that haven't been supplied in the set of annotated documents but have been returned
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* by the search are not taken into consideration when computing precision at n - they are ignored.
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*
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* TODO get rid of either this or RankEvalResult
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**/
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//TODO instead of just returning averages over complete results, think of other statistics, micro avg, macro avg, partial results
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public class RankEvalResponse extends ActionResponse implements ToXContent {
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private RankEvalResult qualityResult;
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/**ID of QA specification this result was generated for.*/
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private String specId;
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/**Average precision observed when issuing query intents with this specification.*/
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private double qualityLevel;
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/**Mapping from intent id to all documents seen for this intent that were not annotated.*/
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private Map<String, Collection<String>> unknownDocs;
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public RankEvalResponse() {
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}
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@SuppressWarnings("unchecked")
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public RankEvalResponse(StreamInput in) throws IOException {
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super.readFrom(in);
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this.qualityResult = new RankEvalResult(in);
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this.specId = in.readString();
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this.qualityLevel = in.readDouble();
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this.unknownDocs = (Map<String, Collection<String>>) in.readGenericValue();
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}
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public RankEvalResponse(String specId, double qualityLevel, Map<String, Collection<String>> unknownDocs) {
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this.specId = specId;
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this.qualityLevel = qualityLevel;
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this.unknownDocs = unknownDocs;
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}
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public String getSpecId() {
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return specId;
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}
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public double getQualityLevel() {
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return qualityLevel;
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}
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public Map<String, Collection<String>> getUnknownDocs() {
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return unknownDocs;
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}
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@Override
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public String toString() {
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return "RankEvalResult, ID :[" + specId + "], quality: " + qualityLevel + ", unknown docs: " + unknownDocs;
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}
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@Override
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public void writeTo(StreamOutput out) throws IOException {
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super.writeTo(out);
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qualityResult.writeTo(out);
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}
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public void setRankEvalResult(RankEvalResult result) {
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this.qualityResult = result;
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}
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public RankEvalResult getRankEvalResult() {
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return qualityResult;
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out.writeString(specId);
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out.writeDouble(qualityLevel);
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out.writeGenericValue(getUnknownDocs());
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}
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@Override
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public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
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builder.startObject("rank_eval");
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builder.field("spec_id", qualityResult.getSpecId());
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builder.field("quality_level", qualityResult.getQualityLevel());
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builder.field("spec_id", specId);
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builder.field("quality_level", qualityLevel);
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builder.startArray("unknown_docs");
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Map<String, Collection<String>> unknownDocs = qualityResult.getUnknownDocs();
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for (String key : unknownDocs.keySet()) {
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builder.startObject();
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builder.field(key, unknownDocs.get(key));
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@ -1,80 +0,0 @@
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/*
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* Licensed to Elasticsearch under one or more contributor
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* license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright
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* ownership. Elasticsearch licenses this file to you under
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* the Apache License, Version 2.0 (the "License"); you may
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* not use this file except in compliance with the License.
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* 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,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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package org.elasticsearch.index.rankeval;
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import org.elasticsearch.common.io.stream.StreamInput;
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import org.elasticsearch.common.io.stream.StreamOutput;
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import org.elasticsearch.common.io.stream.Writeable;
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import java.io.IOException;
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import java.util.Collection;
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import java.util.Map;
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/**
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* For each precision at n computation the id of the search request specification used to generate search requests is returned
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* for reference. In addition the averaged precision and the ids of all documents returned but not found annotated is returned.
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* */
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// TODO do we need an extra class for this or it RankEvalResponse enough?
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// TODO instead of just returning averages over complete results, think of other statistics, micro avg, macro avg, partial results
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public class RankEvalResult implements Writeable {
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/**ID of QA specification this result was generated for.*/
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private String specId;
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/**Average precision observed when issuing query intents with this specification.*/
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private double qualityLevel;
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/**Mapping from intent id to all documents seen for this intent that were not annotated.*/
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private Map<String, Collection<String>> unknownDocs;
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@SuppressWarnings("unchecked")
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public RankEvalResult(StreamInput in) throws IOException {
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this.specId = in.readString();
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this.qualityLevel = in.readDouble();
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this.unknownDocs = (Map<String, Collection<String>>) in.readGenericValue();
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}
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public RankEvalResult(String specId, double quality, Map<String, Collection<String>> unknownDocs) {
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this.specId = specId;
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this.qualityLevel = quality;
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this.unknownDocs = unknownDocs;
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}
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@Override
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public void writeTo(StreamOutput out) throws IOException {
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out.writeString(specId);
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out.writeDouble(qualityLevel);
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out.writeGenericValue(getUnknownDocs());
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}
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public String getSpecId() {
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return specId;
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}
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public double getQualityLevel() {
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return qualityLevel;
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}
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public Map<String, Collection<String>> getUnknownDocs() {
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return unknownDocs;
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}
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@Override
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public String toString() {
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return "RankEvalResult, ID :[" + specId + "], quality: " + qualityLevel + ", unknown docs: " + unknownDocs;
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}
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}
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@ -105,10 +105,8 @@ public class TransportRankEvalAction extends HandledTransportAction<RankEvalRequ
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unknownDocs.put(spec.getSpecId(), queryQuality.getUnknownDocs());
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}
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RankEvalResponse response = new RankEvalResponse();
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// TODO add other statistics like micro/macro avg?
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RankEvalResult result = new RankEvalResult(qualityTask.getTaskId(), metric.combine(partialResults), unknownDocs);
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response.setRankEvalResult(result);
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RankEvalResponse response = new RankEvalResponse(qualityTask.getTaskId(), metric.combine(partialResults), unknownDocs);
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listener.onResponse(response);
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}
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}
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@ -20,17 +20,7 @@
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package org.elasticsearch.index.rankeval;
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import org.elasticsearch.index.query.MatchAllQueryBuilder;
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import org.elasticsearch.index.rankeval.PrecisionAtN;
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import org.elasticsearch.index.rankeval.PrecisionAtN.Rating;
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import org.elasticsearch.index.rankeval.QuerySpec;
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import org.elasticsearch.index.rankeval.RankEvalAction;
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import org.elasticsearch.index.rankeval.RankEvalPlugin;
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import org.elasticsearch.index.rankeval.RankEvalRequest;
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import org.elasticsearch.index.rankeval.RankEvalRequestBuilder;
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import org.elasticsearch.index.rankeval.RankEvalResponse;
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import org.elasticsearch.index.rankeval.RankEvalResult;
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import org.elasticsearch.index.rankeval.RankEvalSpec;
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import org.elasticsearch.index.rankeval.RatedDocument;
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import org.elasticsearch.plugins.Plugin;
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import org.elasticsearch.search.builder.SearchSourceBuilder;
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import org.elasticsearch.test.ESIntegTestCase;
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@ -97,10 +87,9 @@ public class RankEvalRequestTests extends ESIntegTestCase {
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builder.setRankEvalSpec(task);
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RankEvalResponse response = client().execute(RankEvalAction.INSTANCE, builder.request()).actionGet();
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RankEvalResult result = response.getRankEvalResult();
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assertEquals(specId, result.getSpecId());
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assertEquals(1.0, result.getQualityLevel(), Double.MIN_VALUE);
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Set<Entry<String, Collection<String>>> entrySet = result.getUnknownDocs().entrySet();
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assertEquals(specId, response.getSpecId());
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assertEquals(1.0, response.getQualityLevel(), Double.MIN_VALUE);
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Set<Entry<String, Collection<String>>> entrySet = response.getUnknownDocs().entrySet();
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assertEquals(2, entrySet.size());
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for (Entry<String, Collection<String>> entry : entrySet) {
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if (entry.getKey() == "amsterdam_query") {
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