001/**
002 * Copyright (c) 2011, The University of Southampton and the individual contributors.
003 * All rights reserved.
004 *
005 * Redistribution and use in source and binary forms, with or without modification,
006 * are permitted provided that the following conditions are met:
007 *
008 *   *  Redistributions of source code must retain the above copyright notice,
009 *      this list of conditions and the following disclaimer.
010 *
011 *   *  Redistributions in binary form must reproduce the above copyright notice,
012 *      this list of conditions and the following disclaimer in the documentation
013 *      and/or other materials provided with the distribution.
014 *
015 *   *  Neither the name of the University of Southampton nor the names of its
016 *      contributors may be used to endorse or promote products derived from this
017 *      software without specific prior written permission.
018 *
019 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
020 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
021 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
022 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
023 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
024 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
025 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
026 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
027 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
028 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
029 */
030package org.openimaj.hadoop.tools.twitter.token.outputmode.correlation;
031
032import java.io.IOException;
033import java.io.StringReader;
034
035import org.apache.hadoop.io.DoubleWritable;
036import org.apache.hadoop.io.LongWritable;
037import org.apache.hadoop.io.Text;
038import org.apache.hadoop.mapreduce.Mapper;
039
040import com.Ostermiller.util.CSVParser;
041
042public class PValueWordMapper extends Mapper<LongWritable, Text, DoubleWritable, Text> {
043        private static double maxp = -1;
044        public PValueWordMapper(){
045                
046        }
047        
048        @Override
049        public void setup(Mapper<LongWritable,Text,DoubleWritable,Text>.Context context) throws IOException ,InterruptedException {
050                load(context);
051        };
052        private static void load(Mapper<LongWritable,Text,DoubleWritable,Text>.Context context) {
053                maxp = context.getConfiguration().getFloat(CorrelateWordSort.MAXP_KEY, -1);
054        }
055
056        @Override
057        public void map(LongWritable key, Text value, Mapper<LongWritable,Text,DoubleWritable,Text>.Context context) throws IOException ,InterruptedException {
058                CSVParser csvp = new CSVParser(new StringReader(value.toString()));
059                String[] linevals = csvp.getLine();
060                double pvalue = Double.parseDouble(linevals[3]);
061                if(new Double(pvalue).equals(Double.NaN)) return;
062                if(maxp == -1 || pvalue < maxp){
063                        context.write(new DoubleWritable(pvalue), value);
064                }
065        };
066}