--- /dev/null
+/**
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * 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
+ * the License. You may obtain a copy of the License at
+ *
+ * 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.
+ */
+
+package org.apache.lucene.analysis.cn.smart;
+
+import java.io.StringReader;
+
+import org.apache.lucene.analysis.BaseTokenStreamTestCase;
+import org.apache.lucene.analysis.Analyzer;
+import org.apache.lucene.analysis.TokenStream;
+import org.apache.lucene.util.Version;
+
+public class TestSmartChineseAnalyzer extends BaseTokenStreamTestCase {
+
+ public void testChineseStopWordsDefault() throws Exception {
+ Analyzer ca = new SmartChineseAnalyzer(Version.LUCENE_CURRENT); /* will load stopwords */
+ String sentence = "我购买了道具和服装。";
+ String result[] = { "我", "购买", "了", "道具", "和", "服装" };
+ assertAnalyzesTo(ca, sentence, result);
+ // set stop-words from the outer world - must yield same behavior
+ ca = new SmartChineseAnalyzer(Version.LUCENE_CURRENT, SmartChineseAnalyzer.getDefaultStopSet());
+ assertAnalyzesTo(ca, sentence, result);
+ }
+
+ /*
+ * This test is the same as the above, except with two phrases.
+ * This tests to ensure the SentenceTokenizer->WordTokenFilter chain works correctly.
+ */
+ public void testChineseStopWordsDefaultTwoPhrases() throws Exception {
+ Analyzer ca = new SmartChineseAnalyzer(Version.LUCENE_CURRENT); /* will load stopwords */
+ String sentence = "我购买了道具和服装。 我购买了道具和服装。";
+ String result[] = { "我", "购买", "了", "道具", "和", "服装", "我", "购买", "了", "道具", "和", "服装" };
+ assertAnalyzesTo(ca, sentence, result);
+ }
+
+ /*
+ * This test is the same as the above, except using an ideographic space as a separator.
+ * This tests to ensure the stopwords are working correctly.
+ */
+ public void testChineseStopWordsDefaultTwoPhrasesIdeoSpace() throws Exception {
+ Analyzer ca = new SmartChineseAnalyzer(Version.LUCENE_CURRENT); /* will load stopwords */
+ String sentence = "我购买了道具和服装 我购买了道具和服装。";
+ String result[] = { "我", "购买", "了", "道具", "和", "服装", "我", "购买", "了", "道具", "和", "服装" };
+ assertAnalyzesTo(ca, sentence, result);
+ }
+
+ /*
+ * Punctuation is handled in a strange way if you disable stopwords
+ * In this example the IDEOGRAPHIC FULL STOP is converted into a comma.
+ * if you don't supply (true) to the constructor, or use a different stopwords list,
+ * then punctuation is indexed.
+ */
+ public void testChineseStopWordsOff() throws Exception {
+ Analyzer[] analyzers = new Analyzer[] {
+ new SmartChineseAnalyzer(Version.LUCENE_CURRENT, false),/* doesn't load stopwords */
+ new SmartChineseAnalyzer(Version.LUCENE_CURRENT, null) /* sets stopwords to empty set */};
+ String sentence = "我购买了道具和服装。";
+ String result[] = { "我", "购买", "了", "道具", "和", "服装", "," };
+ for (Analyzer analyzer : analyzers) {
+ assertAnalyzesTo(analyzer, sentence, result);
+ assertAnalyzesToReuse(analyzer, sentence, result);
+ }
+ }
+
+ /*
+ * Check that position increments after stopwords are correct,
+ * when stopfilter is configured with enablePositionIncrements
+ */
+ public void testChineseStopWords2() throws Exception {
+ Analyzer ca = new SmartChineseAnalyzer(Version.LUCENE_CURRENT); /* will load stopwords */
+ String sentence = "Title:San"; // : is a stopword
+ String result[] = { "titl", "san"};
+ int startOffsets[] = { 0, 6 };
+ int endOffsets[] = { 5, 9 };
+ int posIncr[] = { 1, 2 };
+ assertAnalyzesTo(ca, sentence, result, startOffsets, endOffsets, posIncr);
+ }
+
+ public void testChineseAnalyzer() throws Exception {
+ Analyzer ca = new SmartChineseAnalyzer(Version.LUCENE_CURRENT, true);
+ String sentence = "我购买了道具和服装。";
+ String[] result = { "我", "购买", "了", "道具", "和", "服装" };
+ assertAnalyzesTo(ca, sentence, result);
+ }
+
+ /*
+ * English words are lowercased and porter-stemmed.
+ */
+ public void testMixedLatinChinese() throws Exception {
+ assertAnalyzesTo(new SmartChineseAnalyzer(Version.LUCENE_CURRENT, true), "我购买 Tests 了道具和服装",
+ new String[] { "我", "购买", "test", "了", "道具", "和", "服装"});
+ }
+
+ /*
+ * Numerics are parsed as their own tokens
+ */
+ public void testNumerics() throws Exception {
+ assertAnalyzesTo(new SmartChineseAnalyzer(Version.LUCENE_CURRENT, true), "我购买 Tests 了道具和服装1234",
+ new String[] { "我", "购买", "test", "了", "道具", "和", "服装", "1234"});
+ }
+
+ /*
+ * Full width alphas and numerics are folded to half-width
+ */
+ public void testFullWidth() throws Exception {
+ assertAnalyzesTo(new SmartChineseAnalyzer(Version.LUCENE_CURRENT, true), "我购买 Ｔｅｓｔｓ 了道具和服装１２３４",
+ new String[] { "我", "购买", "test", "了", "道具", "和", "服装", "1234"});
+ }
+
+ /*
+ * Presentation form delimiters are removed
+ */
+ public void testDelimiters() throws Exception {
+ assertAnalyzesTo(new SmartChineseAnalyzer(Version.LUCENE_CURRENT, true), "我购买︱ Tests 了道具和服装",
+ new String[] { "我", "购买", "test", "了", "道具", "和", "服装"});
+ }
+
+ /*
+ * Text from writing systems other than Chinese and Latin are parsed as individual characters.
+ * (regardless of Unicode category)
+ */
+ public void testNonChinese() throws Exception {
+ assertAnalyzesTo(new SmartChineseAnalyzer(Version.LUCENE_CURRENT, true), "我购买 روبرتTests 了道具和服装",
+ new String[] { "我", "购买", "ر", "و", "ب", "ر", "ت", "test", "了", "道具", "和", "服装"});
+ }
+
+ /*
+ * Test what the analyzer does with out-of-vocabulary words.
+ * In this case the name is Yousaf Raza Gillani.
+ * Currently it is being analyzed into single characters...
+ */
+ public void testOOV() throws Exception {
+ assertAnalyzesTo(new SmartChineseAnalyzer(Version.LUCENE_CURRENT, true), "优素福·拉扎·吉拉尼",
+ new String[] { "优", "素", "福", "拉", "扎", "吉", "拉", "尼" });
+
+ assertAnalyzesTo(new SmartChineseAnalyzer(Version.LUCENE_CURRENT, true), "优素福拉扎吉拉尼",
+ new String[] { "优", "素", "福", "拉", "扎", "吉", "拉", "尼" });
+ }
+
+ public void testOffsets() throws Exception {
+ assertAnalyzesTo(new SmartChineseAnalyzer(Version.LUCENE_CURRENT, true), "我购买了道具和服装",
+ new String[] { "我", "购买", "了", "道具", "和", "服装" },
+ new int[] { 0, 1, 3, 4, 6, 7 },
+ new int[] { 1, 3, 4, 6, 7, 9 });
+ }
+
+ public void testReusableTokenStream() throws Exception {
+ Analyzer a = new SmartChineseAnalyzer(Version.LUCENE_CURRENT);
+ assertAnalyzesToReuse(a, "我购买 Tests 了道具和服装",
+ new String[] { "我", "购买", "test", "了", "道具", "和", "服装"},
+ new int[] { 0, 1, 4, 10, 11, 13, 14 },
+ new int[] { 1, 3, 9, 11, 13, 14, 16 });
+ assertAnalyzesToReuse(a, "我购买了道具和服装。",
+ new String[] { "我", "购买", "了", "道具", "和", "服装" },
+ new int[] { 0, 1, 3, 4, 6, 7 },
+ new int[] { 1, 3, 4, 6, 7, 9 });
+ }
+
+ // LUCENE-3026
+ public void testLargeDocument() throws Exception {
+ StringBuilder sb = new StringBuilder();
+ for (int i = 0; i < 5000; i++) {
+ sb.append("我购买了道具和服装。");
+ }
+ Analyzer analyzer = new SmartChineseAnalyzer(TEST_VERSION_CURRENT);
+ TokenStream stream = analyzer.reusableTokenStream("", new StringReader(sb.toString()));
+ stream.reset();
+ while (stream.incrementToken()) {
+ }
+ }
+
+ // LUCENE-3026
+ public void testLargeSentence() throws Exception {
+ StringBuilder sb = new StringBuilder();
+ for (int i = 0; i < 5000; i++) {
+ sb.append("我购买了道具和服装");
+ }
+ Analyzer analyzer = new SmartChineseAnalyzer(TEST_VERSION_CURRENT);
+ TokenStream stream = analyzer.reusableTokenStream("", new StringReader(sb.toString()));
+ stream.reset();
+ while (stream.incrementToken()) {
+ }
+ }
+
+ /** blast some random strings through the analyzer */
+ public void testRandomStrings() throws Exception {
+ checkRandomData(random, new SmartChineseAnalyzer(TEST_VERSION_CURRENT), 10000*RANDOM_MULTIPLIER);
+ }
+}
fnp / pylucene.git / blobdiff