Examples from Jacques DeFarge

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A placeholder page for my code snippets and usage examples.

1. ParallelToLowerCase

Description: This simple code gets an arbitrary String array and applies a lower case method to each element and prints the array on screen.

// begin the code

import jsr166y.forkjoin.ParallelArray;
import static jsr166y.forkjoin.Ops.*;

public class ParallelToLowerCase {

    public static void main(String[] args) {
               
        final String[] list = new String[] {"AB", "CD", "EF", "GH", "MN",
                                          "RM", "JP", "LS", "QP", "TX",
                                            "ST", "SZ", "AA", "PQ", "RS",
                                            "RM", "JP", "LS", "QP", "TX",
                                            "ST", "SZ", "AA", "PQ", "RS",
                                            "RM", "JP", "LS", "QP", "TX",
                                            "ST", "SZ", "AA", "PQ", "RS",
                                           "RM", "JP", "LS", "QP", "TX",
                                            "CO", "BA", "MP", "AM", "FF"};
        // creates a ParallelArray

// Note: Since the 'list' array is not used after this point, you can also
// use ParallelArray.createUsingHandoff(). See Creating arrays 

        ParallelArray<String> pArray =
        ParallelArray.createFromCopy(list, ParallelArray.defaultExecutor());

        pArray.replaceWithMapping(new ToLowerMapping());
        System.out.println(pArray.asList());
       
    }

    // Mapping class
    public static class ToLowerMapping implements Op<String, String> {
        @Override
        public String op(String input) {
            return input.toLowerCase();
        }

// Note: Mappers are often immutable objects, so to reduce
// needless instantiation, a Singleton can be used and the constructor made private.
// Or the entire mapper class hidden completely and the mapper exposed only
// through a factory method, as is done in CommonOps

    }   
}

// End of code

 

2. ForkJoinTreeSearch

Coming soon.