#region License Information
/* HeuristicLab
* Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Symbols;
using Microsoft.VisualStudio.TestTools.UnitTesting;
namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding_3._3.Tests {
public static class Util {
public static string GetSizeDistributionString(IList trees, int maxTreeSize, int binSize) {
int[] histogram = new int[maxTreeSize / binSize];
for (int i = 0; i < trees.Count; i++) {
int binIndex = Math.Min(histogram.Length - 1, trees[i].Size / binSize);
histogram[binIndex]++;
}
StringBuilder strBuilder = new StringBuilder();
for (int i = 0; i < histogram.Length - 1; i++) {
strBuilder.Append(Environment.NewLine);
strBuilder.Append("< "); strBuilder.Append((i + 1) * binSize);
strBuilder.Append(": "); strBuilder.AppendFormat("{0:#0.00%}", histogram[i] / (double)trees.Count);
}
strBuilder.Append(Environment.NewLine);
strBuilder.Append(">= "); strBuilder.Append(histogram.Length * binSize);
strBuilder.Append(": "); strBuilder.AppendFormat("{0:#0.00%}", histogram[histogram.Length - 1] / (double)trees.Count);
return "Size distribution: " + strBuilder;
}
public static string GetFunctionDistributionString(IList trees) {
Dictionary occurances = new Dictionary();
double n = 0.0;
for (int i = 0; i < trees.Count; i++) {
foreach (var node in trees[i].IterateNodesPrefix()) {
if (node.SubTrees.Count > 0) {
if (!occurances.ContainsKey(node.Symbol.Name))
occurances[node.Symbol.Name] = 0;
occurances[node.Symbol.Name]++;
n++;
}
}
}
StringBuilder strBuilder = new StringBuilder();
foreach (var function in occurances.Keys) {
strBuilder.Append(Environment.NewLine);
strBuilder.Append(function); strBuilder.Append(": ");
strBuilder.AppendFormat("{0:#0.00%}", occurances[function] / n);
}
return "Function distribution: " + strBuilder;
}
public static string GetNumberOfSubTreesDistributionString(IList trees) {
Dictionary occurances = new Dictionary();
double n = 0.0;
for (int i = 0; i < trees.Count; i++) {
foreach (var node in trees[i].IterateNodesPrefix()) {
if (!occurances.ContainsKey(node.SubTrees.Count))
occurances[node.SubTrees.Count] = 0;
occurances[node.SubTrees.Count]++;
n++;
}
}
StringBuilder strBuilder = new StringBuilder();
foreach (var arity in occurances.Keys) {
strBuilder.Append(Environment.NewLine);
strBuilder.Append(arity); strBuilder.Append(": ");
strBuilder.AppendFormat("{0:#0.00%}", occurances[arity] / n);
}
return "Distribution of function arities: " + strBuilder;
}
public static string GetTerminalDistributionString(IList trees) {
Dictionary occurances = new Dictionary();
double n = 0.0;
for (int i = 0; i < trees.Count; i++) {
foreach (var node in trees[i].IterateNodesPrefix()) {
if (node.SubTrees.Count == 0) {
if (!occurances.ContainsKey(node.Symbol.Name))
occurances[node.Symbol.Name] = 0;
occurances[node.Symbol.Name]++;
n++;
}
}
}
StringBuilder strBuilder = new StringBuilder();
foreach (var function in occurances.Keys) {
strBuilder.Append(Environment.NewLine);
strBuilder.Append(function); strBuilder.Append(": ");
strBuilder.AppendFormat("{0:#0.00%}", occurances[function] / n);
}
return "Terminal distribution: " + strBuilder;
}
public static void IsValid(SymbolicExpressionTree tree) {
int reportedSize = tree.Size;
int actualSize = tree.IterateNodesPostfix().Count();
Assert.AreEqual(actualSize, reportedSize);
foreach (var defunTreeNode in tree.Root.SubTrees.OfType()) {
int arity = defunTreeNode.NumberOfArguments;
var invoke = new InvokeFunction(defunTreeNode.FunctionName);
foreach (var otherRootNode in tree.Root.SubTrees) {
if (otherRootNode.Grammar.ContainsSymbol(invoke)) {
Assert.IsTrue(otherRootNode.Grammar.GetMinSubtreeCount(invoke) == arity);
Assert.IsTrue(otherRootNode.Grammar.GetMaxSubtreeCount(invoke) == arity);
}
}
}
//Assert.AreEqual(tree.Root.Symbol, tree.Root.Grammar.StartSymbol);
//foreach (var subtree in tree.Root.SubTrees)
// Assert.AreNotSame(subtree.Grammar, tree.Root.Grammar);
IsValid(tree.Root);
}
public static void IsValid(SymbolicExpressionTreeNode treeNode) {
var matchingSymbol = (from symb in treeNode.Grammar.Symbols
where symb.Name == treeNode.Symbol.Name
select symb).SingleOrDefault();
Assert.IsTrue(treeNode.SubTrees.Count >= treeNode.Grammar.GetMinSubtreeCount(matchingSymbol));
Assert.IsTrue(treeNode.SubTrees.Count <= treeNode.Grammar.GetMaxSubtreeCount(matchingSymbol));
for (int i = 0; i < treeNode.SubTrees.Count; i++) {
Assert.IsTrue(treeNode.GetAllowedSymbols(i).Select(x => x.Name).Contains(treeNode.SubTrees[i].Symbol.Name));
IsValid(treeNode.SubTrees[i]);
}
}
}
}