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Declarative Machine Learning

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/*
 * 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.instructions.mr;

import org.apache.sysml.hops.Hop.DataGenMethod;
import org.apache.sysml.runtime.matrix.operators.Operator;

public abstract class DataGenMRInstruction extends MRInstruction 
{
	
	protected DataGenMethod method;
	protected byte input;
	protected long rows;
	protected long cols;
	protected int rowsInBlock;
	protected int colsInBlock;
	protected String baseDir;
	
	public DataGenMRInstruction(Operator op, DataGenMethod mthd, byte in, byte out, long r, long c, int rpb, int cpb, String dir)
	{
		super(op, out);
		method = mthd;
		input=in;
		rows = r;
		cols = c;
		rowsInBlock = rpb;
		colsInBlock = cpb;
		baseDir = dir;
	}
	
	public DataGenMethod getDataGenMethod() {
		return method;
	}
	
	public byte getInput() {
		return input;
	}

	public long getRows() {
		return rows;
	}

	public long getCols() {
		return cols;
	}

	public int getRowsInBlock() {
		return rowsInBlock;
	}

	public int getColsInBlock() {
		return colsInBlock;
	}

	public String getBaseDir() {
		return baseDir;
	}

	@Override
	public byte[] getInputIndexes() {
		return new byte[]{input};
	}

	@Override
	public byte[] getAllIndexes() {
		return new byte[]{input, output};
	}
}