/*
    * 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");
          }
      }
  
  }