X-Git-Url: https://git.mdrn.pl/pylucene.git/blobdiff_plain/a2e61f0c04805cfcb8706176758d1283c7e3a55c..aaeed5504b982cf3545252ab528713250aa33eed:/lucene-java-3.5.0/lucene/contrib/analyzers/smartcn/src/test/org/apache/lucene/analysis/cn/smart/TestSmartChineseAnalyzer.java

diff --git a/lucene-java-3.5.0/lucene/contrib/analyzers/smartcn/src/test/org/apache/lucene/analysis/cn/smart/TestSmartChineseAnalyzer.java b/lucene-java-3.5.0/lucene/contrib/analyzers/smartcn/src/test/org/apache/lucene/analysis/cn/smart/TestSmartChineseAnalyzer.java
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+/**
+ * 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);
+  }
+}