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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 opennlp.tools.formats.ad;

import java.io.File;
import java.io.IOException;
import java.nio.charset.Charset;

import opennlp.tools.cmdline.ArgumentParser;
import opennlp.tools.cmdline.ArgumentParser.OptionalParameter;
import opennlp.tools.cmdline.ArgumentParser.ParameterDescription;
import opennlp.tools.cmdline.CmdLineUtil;
import opennlp.tools.cmdline.StreamFactoryRegistry;
import opennlp.tools.commons.Internal;
import opennlp.tools.formats.LanguageSampleStreamFactory;
import opennlp.tools.namefind.NameSample;
import opennlp.tools.util.InputStreamFactory;
import opennlp.tools.util.ObjectStream;
import opennlp.tools.util.PlainTextByLineStream;

/**
 * A Factory to create a Arvores Deitadas NameSampleDataStream from the command line
 * utility.
 * 

* Note: * Do not use this class, internal use only! */ @Internal public class ADNameSampleStreamFactory

extends LanguageSampleStreamFactory { interface Parameters { //all have to be repeated, because encoding is not optional, //according to the check if (encoding == null) { below (now removed) @ParameterDescription(valueName = "charsetName", description = "encoding for reading and writing text, if absent the system default is used.") Charset getEncoding(); @ParameterDescription(valueName = "sampleData", description = "data to be used, usually a file name.") File getData(); @ParameterDescription(valueName = "split", description = "if true all hyphenated tokens will be separated (default true)") @OptionalParameter(defaultValue = "true") Boolean getSplitHyphenatedTokens(); @ParameterDescription(valueName = "language", description = "language which is being processed.") String getLang(); } public static void registerFactory() { StreamFactoryRegistry.registerFactory(NameSample.class, "ad", new ADNameSampleStreamFactory<>(Parameters.class)); } protected ADNameSampleStreamFactory(Class

params) { super(params); } @Override public ObjectStream create(String[] args) { Parameters params = ArgumentParser.parse(args, Parameters.class); language = params.getLang(); InputStreamFactory sampleDataIn = CmdLineUtil.createInputStreamFactory(params.getData()); ObjectStream lineStream = null; try { lineStream = new PlainTextByLineStream(sampleDataIn, params.getEncoding()); } catch (IOException ex) { CmdLineUtil.handleCreateObjectStreamError(ex); } return new ADNameSampleStream(lineStream, params.getSplitHyphenatedTokens()); } }





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