/*
 * 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.controlprogram.context;

import org.apache.sysml.api.DMLScript;
import org.apache.sysml.runtime.controlprogram.Program;

public class ExecutionContextFactory 
{
	public static ExecutionContext createContext()
	{
		return createContext( null );
	}
	
	public static ExecutionContext createContext( Program prog )
	{
		return createContext(true, prog);
	}

	public static ExecutionContext createContext( boolean allocateVars, Program prog )
	{
		ExecutionContext ec = null;
		
		switch( DMLScript.rtplatform )
		{
			case SINGLE_NODE:
			case HADOOP:
			case HYBRID:
				ec = new ExecutionContext(allocateVars, prog);
				break;
				
			case SPARK:
			case HYBRID_SPARK:
				ec = new SparkExecutionContext(allocateVars, prog);
				break;
		}
		
		return ec;
	}
}

@@ -901,16 +901,117 @@
 Script;%0A
+import org.apache.sysml.api.DMLScript.RUNTIME_PLATFORM;%0Aimport org.apache.sysml.hops.OptimizerUtils;%0A
 import o
@@ -1470,16 +1470,379 @@
 E_NODE:%0A
+%09%09%09%09//NOTE: even in case of forced singlenode operations, users might still %0A%09%09%09%09//want to run remote parfor which requires the correct execution context%0A%09%09%09%09if( OptimizerUtils.getDefaultExecutionMode()==RUNTIME_PLATFORM.HYBRID)%0A%09%09%09%09%09ec = new ExecutionContext(allocateVars, prog);%0A%09%09%09%09else%0A%09%09%09%09%09ec = new SparkExecutionContext(allocateVars, prog);%0A%09%09%09%09break;%0A%09%09%09%09%0A
 %09%09%09case 

Fix execution context creation w/ forced singlenode