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Declarative Machine Learning
/*
* Licensed to the Apache Software Foundation (ASF) 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
*
* 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 org.apache.sysml.runtime.matrix;
public class MatrixDimensionsMetaData extends MetaData
{
protected MatrixCharacteristics matchar;
public MatrixDimensionsMetaData() {
matchar = null;
}
public MatrixDimensionsMetaData(MatrixCharacteristics mc) {
matchar = mc;
}
public MatrixCharacteristics getMatrixCharacteristics() {
return matchar;
}
public void setMatrixCharacteristics(MatrixCharacteristics mc) {
matchar = mc;
}
@Override
public boolean equals (Object anObject)
{
if (anObject instanceof MatrixDimensionsMetaData)
{
MatrixDimensionsMetaData md = (MatrixDimensionsMetaData) anObject;
return (matchar.equals (md.matchar));
}
else
return false;
}
@Override
public int hashCode()
{
//use identity hash code
return super.hashCode();
}
@Override
public String toString() {
return "[rows = " + matchar.getRows() +
", cols = " + matchar.getCols() +
", rpb = " + matchar.getRowsPerBlock() +
", cpb = " + matchar.getColsPerBlock() + "]";
}
@Override
public Object clone()
{
MatrixCharacteristics mc = new MatrixCharacteristics(matchar);
MatrixDimensionsMetaData ret = new MatrixDimensionsMetaData(mc);
return ret;
}
}