/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2016 Heaton Research, Inc.
*
* Licensed 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.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.ml.prg;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Random;
import org.encog.ml.MLError;
import org.encog.ml.MLRegression;
import org.encog.ml.data.MLData;
import org.encog.ml.data.MLDataSet;
import org.encog.ml.data.basic.BasicMLData;
import org.encog.ml.ea.exception.EACompileError;
import org.encog.ml.ea.exception.EARuntimeError;
import org.encog.ml.ea.genome.BasicGenome;
import org.encog.ml.ea.genome.Genome;
import org.encog.ml.prg.expvalue.ExpressionValue;
import org.encog.ml.prg.expvalue.ValueType;
import org.encog.ml.prg.extension.FunctionFactory;
import org.encog.ml.prg.extension.StandardExtensions;
import org.encog.ml.prg.train.PrgPopulation;
import org.encog.ml.tree.traverse.tasks.TaskGetNodeIndex;
import org.encog.ml.tree.traverse.tasks.TaskReplaceNode;
import org.encog.parse.expression.common.ParseCommonExpression;
import org.encog.parse.expression.common.RenderCommonExpression;
import org.encog.parse.expression.epl.ParseEPL;
import org.encog.parse.expression.epl.RenderEPL;
import org.encog.parse.expression.rpn.RenderRPN;
import org.encog.util.simple.EncogUtility;
/**
* Holds an Encog Programming Language (EPL) program. A Encog program is
* internally represented as a tree structure. It can be rendered to a variety
* of forms, such as RPN, common infix expressions, or Latex. The Encog
* Workbench also allows display as a graphical tree. An Encog Program is both a
* genome and phenome. No decoding is necessary.
*
* Every Encog Program has a context. The context is the same for every Encog
* Program in a population. The context defines which opcodes should be used, as
* well as the defined variables.
*
* The actual values for the variables are not stored in the context. Rather
* they are stored in a variable holder. Each program usually has its own
* variable holder, though it is possible to share.
*/
public class EncogProgram extends BasicGenome implements MLRegression, MLError {
/**
* The serial id.
*/
private static final long serialVersionUID = 1L;
/**
* Parse the specified program, or expression, and return the result. No
* variables can be defined for this as a default context is used. The
* result is returned as a boolean.
*
* @param str
* The program expression.
* @return The value the expression was evaluated to.
*/
public static boolean parseBoolean(final String str) {
final EncogProgram holder = new EncogProgram(str);
return holder.evaluate().toBooleanValue();
}
/**
* Parse the specified program, or expression, and return the result. No
* variables can be defined for this as a default context is used. The
* result is returned as a boolean.
*
* @param str
* The program expression.
* @return The value the expression was evaluated to.
*/
public static ExpressionValue parseExpression(final String str) {
final EncogProgram holder = new EncogProgram(str);
return holder.evaluate();
}
/**
* Parse the specified program, or expression, and return the result. No
* variables can be defined for this as a default context is used. The
* result is returned as a float.
*
* @param str
* The program expression value.
* @return The value the expression was evaluated to.
*/
public static double parseFloat(final String str) {
final EncogProgram holder = new EncogProgram(str);
return holder.evaluate().toFloatValue();
}
/**
* Parse the specified program, or expression, and return the result. No
* variables can be defined for this as a default context is used. The
* result is returned as a string.
*
* @param str
* The program expression value.
* @return The value the expression was evaluated to.
*/
public static String parseString(final String str) {
final EncogProgram holder = new EncogProgram(str);
return holder.evaluate().toStringValue();
}
/**
* The variables that will be used by this Encog program.
*/
private EncogProgramVariables variables = new EncogProgramVariables();
/**
* The context that this Encog program executes in, the context is typically
* shared with other Encog programs.
*/
private EncogProgramContext context = new EncogProgramContext();
/**
* The root node of the program.
*/
private ProgramNode rootNode;
/**
* Holds extra data that might be needed by user extended opcodes.
*/
private Map extraData = new HashMap();
/**
* Construct the Encog program and create a default context and variable
* holder. Use all available opcodes.
*/
public EncogProgram() {
this(new EncogProgramContext(), new EncogProgramVariables());
StandardExtensions.createAll(this.context);
}
/**
* Construct the Encog program with the specified context, but create a new
* variable holder.
*
* @param theContext
* The context.
*/
public EncogProgram(final EncogProgramContext theContext) {
this(theContext, new EncogProgramVariables());
}
/**
* Construct an Encog program using the specified context and variable
* holder.
*
* @param theContext
* The context.
* @param theVariables
* The variable holder.
*/
public EncogProgram(final EncogProgramContext theContext,
final EncogProgramVariables theVariables) {
this.context = theContext;
this.variables = theVariables;
defineVariablesFromContext();
}
/**
* Construct an Encog program using the specified expression, but create an
* empty context and variable holder.
*
* @param expression
* The expression.
*/
public EncogProgram(final String expression) {
this();
compileExpression(expression);
}
/**
* Construct an Encog program using the specified expression, but create an
* empty context and variable holder.
*
* @param theContext The context for this program.
* @param theExpression The expression.
*/
public EncogProgram(final EncogProgramContext theContext,
final String theExpression) {
this(theContext,new EncogProgramVariables());
defineVariablesFromContext();
compileExpression(theExpression);
}
/**
* {@inheritDoc}
*/
@Override
public double calculateError(final MLDataSet data) {
return EncogUtility.calculateRegressionError(this, data);
}
/**
* Compile the specified EPL into an actual program node structure, for
* later execution.
*
* @param code The code to compile.
* @return The root node.
*/
public ProgramNode compileEPL(final String code) {
final ParseEPL parser = new ParseEPL(this);
this.rootNode = parser.parse(code);
return this.rootNode;
}
/**
* Compile the specified expression.
*
* @param expression
* The expression.
* @return The program node that this was compiled into.
*/
public ProgramNode compileExpression(final String expression) {
final ParseCommonExpression parser = new ParseCommonExpression(this);
this.rootNode = parser.parse(expression);
return this.rootNode;
}
public double compute(double... x) {
MLData data = new BasicMLData(x);
MLData result = compute(data);
return result.getData(0);
}
/**
* Compute the output from the input MLData. The individual values of the
* input will be mapped to the variables defined in the context. The order
* is the same between the input and the defined variables. The input will
* be mapped to the appropriate types. Enums will use their ordinal number.
* The result will be a single number MLData.
*
* @param input
* The input to the program.
* @return A single numer MLData.
*/
@Override
public MLData compute(final MLData input) {
if (input.size() != getInputCount()) {
throw new EACompileError("Invalid input count, expected "
+ getInputCount() + ", but got " + input.size());
}
for (int i = 0; i < input.size(); i++) {
this.variables.setVariable(i, input.getData(i));
}
final ExpressionValue v = this.rootNode.evaluate();
final VariableMapping resultMapping = getResultType();
final MLData result = new BasicMLData(1);
boolean success = false;
switch (resultMapping.getVariableType()) {
case floatingType:
if (v.isNumeric()) {
result.setData(0, v.toFloatValue());
success = true;
}
break;
case stringType:
result.setData(0, v.toFloatValue());
success = true;
break;
case booleanType:
if (v.isBoolean()) {
result.setData(0, v.toBooleanValue() ? 1.0 : 0.0);
success = true;
}
break;
case intType:
if (v.isNumeric()) {
result.setData(0, v.toIntValue());
success = true;
}
break;
case enumType:
if (v.isEnum()) {
result.setData(0, v.toIntValue());
success = true;
}
break;
}
if (!success) {
throw new EARuntimeError("EncogProgram produced "
+ v.getExpressionType().toString() + " but "
+ resultMapping.getVariableType().toString()
+ " was expected.");
}
return result;
}
/**
* {@inheritDoc}
*/
@Override
public void copy(final Genome source) {
// not needed, already a genome
}
/**
* @return The string as a common "infix" expression.
*/
public String dumpAsCommonExpression() {
final RenderCommonExpression render = new RenderCommonExpression();
return render.render(this);
}
/**
* Execute the program and return the result.
*
* @return The result of running the program.
*/
public ExpressionValue evaluate() {
return this.rootNode.evaluate();
}
/**
* Find the specified node by index. The tree is traversed to do this. This
* is typically used to select a random node.
*
* @param index
* The index being sought.
* @return The program node found.
*/
public ProgramNode findNode(final int index) {
return (ProgramNode) TaskGetNodeIndex.process(index, this.rootNode);
}
/**
* @return The string as an EPL expression. EPL is the format that
* EncogPrograms are usually persisted as.
*/
public String generateEPL() {
final RenderEPL render = new RenderEPL();
return render.render(this);
}
/**
* @return The program context. The program context may be shared over
* multiple programs.
*/
public EncogProgramContext getContext() {
return this.context;
}
/**
* @return The function factory from the context.
*/
public FunctionFactory getFunctions() {
return this.context.getFunctions();
}
/**
* {@inheritDoc}
*/
@Override
public int getInputCount() {
return this.variables.size();
}
/**
* {@inheritDoc}
*/
@Override
public int getOutputCount() {
return 1;
}
/**
* @return The variable mapping for the result type. This is obtained from
* the context.
*/
private VariableMapping getResultType() {
return this.context.getResult();
}
/**
* @return The return type, from the context.
*/
public ValueType getReturnType() {
return this.context.getResult().getVariableType();
}
/**
* @return The root node of the program.
*/
public ProgramNode getRootNode() {
return this.rootNode;
}
/**
* @return The variable holder.
*/
public EncogProgramVariables getVariables() {
return this.variables;
}
/**
* Replace the specified node with another.
*
* @param replaceThisNode
* The node to replace.
* @param replaceWith
* The node that is replacing that node.
*/
public void replaceNode(final ProgramNode replaceThisNode,
final ProgramNode replaceWith) {
if (replaceThisNode == this.rootNode) {
this.rootNode = replaceWith;
} else {
TaskReplaceNode
.process(this.rootNode, replaceThisNode, replaceWith);
}
}
/**
* Select a random variable from the defined variables.
*
* @param rnd
* A random number generator.
* @param desiredTypes
* The desired types that the variable can be.
* @return The index of the defined variable, or -1 if unable to define.
*/
public int selectRandomVariable(final Random rnd,
final List desiredTypes) {
List selectionSet = this.context
.findVariablesByTypes(desiredTypes);
if (selectionSet.size() == 0
&& desiredTypes.contains(ValueType.intType)) {
final List floatList = new ArrayList();
floatList.add(ValueType.floatingType);
selectionSet = this.context.findVariablesByTypes(floatList);
}
if (selectionSet.size() == 0) {
return -1;
}
final VariableMapping selected = selectionSet.get(rnd
.nextInt(selectionSet.size()));
return getContext().getDefinedVariables().indexOf(selected);
}
/**
* Set the root node for the program.
*
* @param theRootNode
* The new root node.
*/
public void setRootNode(final ProgramNode theRootNode) {
this.rootNode = theRootNode;
}
/**
* {@inheritDoc}
*/
@Override
public int size() {
return this.rootNode.size();
}
/**
* {@inheritDoc}
*/
@Override
public String toString() {
final RenderRPN render = new RenderRPN();
final String code = render.render(this);
final StringBuilder result = new StringBuilder();
result.append("[EncogProgram: size=");
result.append(size());
result.append(", score=");
result.append(getScore());
result.append(",code=");
result.append(code);
result.append("]");
return result.toString();
}
/**
* Get extra data that might be needed by user extended opcodes.
* @param name The name the data was stored under.
* @return The extra data.
*/
public Object getExtraData(final String name) {
return this.extraData.get(name);
}
/**
* Set extra data that might be needed by extensions.
* @param name The name of the data stored.
* @param value The data.
*/
public void setExtraData(final String name, final Object value) {
this.extraData.put(name, value);
}
/**
* Define any additional variables from context.
*/
private void defineVariablesFromContext() {
// define variables
for (final VariableMapping v : this.context.getDefinedVariables()) {
if(!this.variables.variableExists(v.getName())) {
this.variables.defineVariable(v);
}
}
}
}
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