using NUnit.Framework;
using System.IO;

namespace Lucene.Net.Analysis.Fa
{
    /*
     * 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.
     */

    public class TestPersianCharFilter : BaseTokenStreamTestCase
    {
        private Analyzer analyzer = new AnalyzerAnonymousInnerClassHelper();

        private class AnalyzerAnonymousInnerClassHelper : Analyzer
        {
            public AnalyzerAnonymousInnerClassHelper()
            {
            }

            protected internal override TokenStreamComponents CreateComponents(string fieldName, TextReader reader)
            {
                return new TokenStreamComponents(new MockTokenizer(reader));
            }

            protected internal override TextReader InitReader(string fieldName, TextReader reader)
            {
                return new PersianCharFilter(reader);
            }
        }

        [Test]
        public virtual void TestBasics()
        {
            AssertAnalyzesTo(analyzer, "this is a\u200Ctest", new string[] { "this", "is", "a", "test" });
        }

        /// <summary>
        /// blast some random strings through the analyzer </summary>
        [Test]
        public virtual void TestRandomStrings()
        {
            CheckRandomData(Random, analyzer, 1000 * RandomMultiplier);
        }
    }
}