/*
    * Licensed to the Hipparchus project 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
    *
    *      https://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 org.hipparchus.linear;
  
  import org.junit.Assert;
  import org.junit.Test;
  
  public class RealMatrixTest {
  
      @Test
      public void testDefaultMultiplyTransposed() {
          RealMatrix a = MatrixUtils.createRealMatrix(new double[][] { {1d,2d,3d}, {2d,5d,3d}, {1d,0d,8d} });
          RealMatrix b = MatrixUtils.createRealMatrix(new double[][] { {4d, -5d, 6d} });
          RealMatrix abTRef = a.multiplyTransposed(b);
          DefaultMatrix dma = new DefaultMatrix(a);
          DefaultMatrix dmb = new DefaultMatrix(b);
          RealMatrix abT = dma.multiplyTransposed(dmb);
          Assert.assertEquals(0.0, abT.subtract(abTRef).getNorm1(), 1.0e-10);
      }
  
      @Test
      public void testDefaultTransposeMultiply() {
          RealMatrix a = MatrixUtils.createRealMatrix(new double[][] { {1d,2d,3d}, {2d,5d,3d}, {1d,0d,8d} });
          RealMatrix b = MatrixUtils.createRealMatrix(new double[][] { {4d}, {-5d}, {6d} });
          RealMatrix aTbRef = a.transposeMultiply(b);
          DefaultMatrix dma = new DefaultMatrix(a);
          DefaultMatrix dmb = new DefaultMatrix(b);
          RealMatrix aTb = dma.transposeMultiply(dmb);
          Assert.assertEquals(0.0, aTb.subtract(aTbRef).getNorm1(), 1.0e-10);
      }
  
      @Test
      public void testDefaultMap() {
          RealMatrix a = MatrixUtils.createRealMatrix(new double[][] { {1d,2d,3d}, {2d,5d,3d}, {1d,0d,8d} });
          Assert.assertEquals(0.0, a.add(a.map(x -> -x)).getNorm1(), 1.0e-10);
      }
  
      // local class that does NOT override multiplyTransposed nor transposeMultiply nor map nor mapToSelf
      // so the default methods are called
      private class DefaultMatrix extends AbstractRealMatrix {
  
          RealMatrix m;
          public DefaultMatrix(RealMatrix m) {
              this.m = m;
          }
  
          @Override
          public int getRowDimension() {
              return m.getRowDimension();
          }
  
          @Override
          public int getColumnDimension() {
              return m.getColumnDimension();
          }
  
          @Override
          public RealMatrix createMatrix(int rowDimension, int columnDimension) {
              return m.createMatrix(rowDimension, columnDimension);
          }
  
          @Override
          public RealMatrix copy() {
              return m.copy();
          }
  
          @Override
          public double getEntry(int row, int column) {
              return m.getEntry(row, column);
          }
  
          @Override
          public void setEntry(int row, int column, double value) {
              m.setEntry(row, column, value);
          }
  
      }
  
  }