/*
 * 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.in;

import java.io.IOException;
import java.io.StringReader;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.BaseTokenStreamTestCase;
import org.apache.lucene.analysis.MockTokenizer;
import org.apache.lucene.analysis.TokenFilter;
import org.apache.lucene.analysis.Tokenizer;
import org.apache.lucene.analysis.core.KeywordTokenizer;

/** Test IndicNormalizer */
public class TestIndicNormalizer extends BaseTokenStreamTestCase {
  /** Test some basic normalization */
  public void testBasics() throws IOException {
    check("अाॅअाॅ", "ऑऑ");
    check("अाॆअाॆ", "ऒऒ");
    check("अाेअाे", "ओओ");
    check("अाैअाै", "औऔ");
    check("अाअा", "आआ");
    check("अाैर", "और");
    // khanda-ta
    check("ত্‍", "ৎ");
  }

  private void check(String input, String output) throws IOException {
    Tokenizer tokenizer = new MockTokenizer(MockTokenizer.WHITESPACE, false);
    ;
    tokenizer.setReader(new StringReader(input));
    TokenFilter tf = new IndicNormalizationFilter(tokenizer);
    assertTokenStreamContents(tf, new String[] {output});
  }

  public void testEmptyTerm() throws IOException {
    Analyzer a =
        new Analyzer() {
          @Override
          protected TokenStreamComponents createComponents(String fieldName) {
            Tokenizer tokenizer = new KeywordTokenizer();
            return new TokenStreamComponents(tokenizer, new IndicNormalizationFilter(tokenizer));
          }
        };
    checkOneTerm(a, "", "");
    a.close();
  }
}