/*

  * Copyright 2010 Ange Optimization ApS

  *

  * Licensed 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 eu.simuline.octave.io.impl;

 import java.io.IOException;

 import java.io.Writer;

 import eu.simuline.octave.io.spi.OctaveDataWriter;

 import eu.simuline.octave.type.OctaveSparseBoolean;

 /**

  * The writer for the octave type "sparse bool matrix" 

  * writing an {@link OctaveSparseBoolean} to a {@link Writer}. 

  *

  * <pre>

  * # name: x

  * # type: sparse bool matrix

  * # nnz: 1

  * # rows: 1

  * # columns: 1

  * 1 1 1

  * </pre>

  */

 public final class SparseBooleanWriter 

     extends OctaveDataWriter<OctaveSparseBoolean> {

     @Override

     public Class<OctaveSparseBoolean> javaType() {

         return OctaveSparseBoolean.class;

     }

     @Override

     public void write(final Writer writer,

                       final OctaveSparseBoolean octaveSparseBoolean) 

         throws IOException {

         final int nnz = octaveSparseBoolean.getNnz();

         writer.write("# type: sparse bool matrix\n");

         writer.write("# nnz: " + nnz + "\n");

         writer.write("# rows: " + octaveSparseBoolean.getRows() + "\n");

         writer.write("# columns: " + octaveSparseBoolean.getColumns() + "\n");

         final int[] rowIndexes = octaveSparseBoolean.getRowIndexes();

         final int[] columnIndexes = octaveSparseBoolean.getColumnIndexes();

         final boolean[] data = octaveSparseBoolean.getData();

         for (int n = 0; n < nnz; ++n) {

             writer.write(rowIndexes[n] + " " + 

                          columnIndexes[n] + " " + 

                          (data[n] ? "1" : "0") + "\n");

         }

     }

 }