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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.lops;

import org.apache.sysml.lops.LopProperties.ExecLocation;
import org.apache.sysml.lops.LopProperties.ExecType;
import org.apache.sysml.lops.compile.JobType;
import org.apache.sysml.parser.Expression.*;


public class AppendM extends Lop
{
	public static final String OPCODE = "mappend";
	
	public enum CacheType {
		RIGHT,
		RIGHT_PART,
	}
	
	private boolean _cbind = true;
	private CacheType _cacheType = null;
	
	public AppendM(Lop input1, Lop input2, Lop input3, DataType dt, ValueType vt, boolean cbind, boolean partitioned, ExecType et) 
	{
		super(Lop.Type.Append, dt, vt);
		init(input1, input2, input3, dt, vt, et);
		
		_cbind = cbind;
		_cacheType = partitioned ? CacheType.RIGHT_PART : CacheType.RIGHT;
	}
	
	public void init(Lop input1, Lop input2, Lop input3, DataType dt, ValueType vt, ExecType et) 
	{
		addInput(input1);
		input1.addOutput(this);

		addInput(input2);
		input2.addOutput(this);
		
		addInput(input3);
		input3.addOutput(this);
		
		boolean breaksAlignment = false;
		boolean aligner = false;
		boolean definesMRJob = false;
		
		if( et == ExecType.MR )
		{
			lps.addCompatibility(JobType.GMR);
			lps.setProperties( inputs, ExecType.MR, ExecLocation.Map, breaksAlignment, aligner, definesMRJob );
		}
		else //SPARK
		{			
			lps.addCompatibility(JobType.INVALID);
			lps.setProperties( inputs, ExecType.SPARK, ExecLocation.ControlProgram, breaksAlignment, aligner, definesMRJob );
		}
	}
	
	@Override
	public String toString() {
		return "Operation = AppendM"; 
	}

	//called when append executes in MR
	public String getInstructions(int input_index1, int input_index2, int input_index3, int output_index) 
		throws LopsException
	{
		return getInstructions(
				String.valueOf(input_index1),
				String.valueOf(input_index2),
				String.valueOf(input_index3),
				String.valueOf(output_index) );
	}


	//called when append executes in SP
	public String getInstructions(String input1, String input2, String input3, String output) 
		throws LopsException
	{
		StringBuilder sb = new StringBuilder();
		sb.append( getExecType() );
		
		sb.append( OPERAND_DELIMITOR );
		sb.append( OPCODE );
		
		sb.append( OPERAND_DELIMITOR );
		sb.append( getInputs().get(0).prepInputOperand(input1));
		
		sb.append( OPERAND_DELIMITOR );
		sb.append( getInputs().get(1).prepInputOperand(input2));
		
		sb.append( OPERAND_DELIMITOR );
		sb.append( getInputs().get(2).prepScalarInputOperand(getExecType()));
		
		sb.append( OPERAND_DELIMITOR );
		sb.append( prepOutputOperand(output) );

		//note: for SP: no cache type
		if( getExecType()==ExecType.MR ){
			sb.append(Lop.OPERAND_DELIMITOR);
			sb.append(_cacheType);	
		}
		
		sb.append( OPERAND_DELIMITOR );
		sb.append( _cbind );
				
		return sb.toString();
	}
	
	public boolean usesDistributedCache() {
		return true;
	}
	
	public int[] distributedCacheInputIndex() {
		return new int[]{2}; // second input is from distributed cache
	}
}