source: branches/2796_SymbReg/HeuristicLab.Algorithms.DataAnalysis/3.4/MctsSymbolicRegression/ExprHashSymbolic.cs @ 15802

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2016 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 <http://www.gnu.org/licenses/>.
 */
#endregion
using System;
using System.Collections.Generic;
using System.Diagnostics.Contracts;
using System.Linq;

// code for hashing of expressions based on symbolic analysis of monomials and polynomials.
// slow, but easy to implement correctly.
namespace HeuristicLab.Algorithms.DataAnalysis.MctsSymbolicRegression {
  internal enum UnaryFunctionType { Log, Exp, Inv };
  internal interface Factor { }
  internal class SymbolFactor : Factor {
    internal char symbolId;
    public SymbolFactor(char symbolId) {
      this.symbolId = symbolId;
    }
    public override int GetHashCode() {
      return symbolId.GetHashCode();
    }
    public override bool Equals(object obj) {
      SymbolFactor other = obj as SymbolFactor;
      if (other == null) return false;
      else return other.symbolId == this.symbolId;
    }
  }
    internal class FunctionFactor : Factor {
    internal UnaryFunctionType functionType;
    internal Polynomial argument;

    public FunctionFactor(UnaryFunctionType functionType, Polynomial argument) {
      this.functionType = functionType;
      this.argument = argument;
    }

    public override int GetHashCode() {
      var h = functionType.GetHashCode();
      return ((h<<5)+h) ^ argument.GetHashCode();
    }
    public override bool Equals(object obj) {
      FunctionFactor other = obj as FunctionFactor;
      if (other == null) return false;
      return
        other.functionType == this.functionType &&
        other.argument == this.argument;
    }
  }

  internal class Monomial {
    internal List<Factor> factors = new List<Factor>();
    public Monomial(params Factor[] factor) {
      foreach (var f in factor) factors.Add(f);
    }
    public override int GetHashCode() {
      return factors.OrderBy(ti => ti.GetHashCode()).Aggregate(0, (a, ti) => ((a  << 5) + a) ^ ti.GetHashCode());
    }
    public override bool Equals(object obj) {
      Monomial other = obj as Monomial;
      if (other == null) return false;
      if (other.factors.Count != this.factors.Count) return false;
      return factors.All(ti => other.factors.Contains(ti)) &&
        other.factors.All(ti => factors.Contains(ti));
    }

    public static Monomial Product(Monomial a, Monomial b) {
      var p = new Monomial();
      var invFactorArg = new Polynomial();
      var expFactorArg = new Polynomial();
      var expFactor = new FunctionFactor(UnaryFunctionType.Exp, expFactorArg);

      foreach (var aFactor in a.factors.Concat(b.factors)) {
        // collect all exp and inv factors into one and simplify
        var funcFactor = aFactor as FunctionFactor;
        if (funcFactor != null && funcFactor.functionType == UnaryFunctionType.Exp) {
          expFactorArg.Add(funcFactor.argument);
        } else if (funcFactor != null && funcFactor.functionType == UnaryFunctionType.Inv) {
          if (!invFactorArg.terms.Any()) invFactorArg.terms = new HashSet<Monomial>(funcFactor.argument.terms);
          else invFactorArg.Mul(funcFactor.argument);
        } else {
          p.factors.Add(aFactor);
        }
      }
      if (expFactorArg.terms.Any()) {
        p.factors.Add(expFactor);
      }
      if (invFactorArg.terms.Any()) {
        var invFactor = new FunctionFactor(UnaryFunctionType.Inv, invFactorArg);
        p.factors.Add(invFactor);
      }
      return p;
    }
  }

  internal class Polynomial {
    internal HashSet<Monomial> terms = new HashSet<Monomial>();
    public Polynomial(params Monomial[] term) {
      foreach (var t in term) terms.Add(t);
    }
    public void Add(Polynomial other) {
      this.terms.UnionWith(other.terms);
    }
    public void Mul(Polynomial other) {
      var myTerms = terms;
      var otherTerms = other.terms;
      var newTerms = new HashSet<Monomial>();
      foreach (var a in myTerms) {
        foreach (var b in otherTerms) {
          newTerms.Add(Monomial.Product(a, b));
        }
      }
      terms = newTerms;
    }
    public override int GetHashCode() {
      return terms.OrderBy(ti => ti.GetHashCode()).Aggregate(0, (a, ti) => ((a<<5)+a) ^ ti.GetHashCode());
    }
    public override bool Equals(object obj) {
      Polynomial other = obj as Polynomial;
      if (other == null) return false;
      if (other.terms.Count != this.terms.Count) return false;
      return terms.All(ti => other.terms.Contains(ti)) && 
        other.terms.All(ti => terms.Contains(ti));
    }
  }


  // calculates a hash-code for expressions.
  public static class ExprHashSymbolic {


    const int MaxStackSize = 100;
    const int MaxVariables = 26;
    private static SymbolFactor[] varSymbols;
    private static SymbolFactor zero;
    private static SymbolFactor one;


    static ExprHashSymbolic() {
      const string symbols = "abcdefghijklmnopqrstuvwxyz"; // limited to 26 variables -> TODO

      varSymbols = new SymbolFactor[MaxVariables];
      for (int i = 0; i < MaxVariables; i++) {
        varSymbols[i] = new SymbolFactor(symbols[i]);
      }
      zero = new SymbolFactor('0');
      one = new SymbolFactor('1');
    }

    public static int GetHash(byte[] code, int nParams) {
      return Eval(code, nParams);
    }

  
  // takes an array of code and transforms it into a polynomial for hashing.
  // slow!
    private static int Eval(byte[] code, int nParams) {
      // The hash code calculation already preserves commutativity, associativity and distributivity of operations.
      // We assume that the structure contains numeric parameters 
      // x = c*x
      // exp(x) = c*exp(c*x)
      // log(x) = c*log(x+c)
      // inv(x) = c/(x+c)
      // Accordingly, each structure represents a class of functions.

      // The following expressions should hash to the same value as they represent 
      // equivalent function classes
      // - x1 + x1 is equivalent to x1
      // - exp(x1) * exp(x1) is equivalent to exp(x1) 
      // 
      // The following expressions must not hash to the same value.
      // - exp(x1) + exp(x1) is different from exp(x1), because c1*exp(c2*x1) + c3*exp(c4*x1) cannot be simplified to c5*exp(c6*x1) for all values of c2 and c4 
      // - log(x1) + log(x1) is different from log(x1), same as above
      // - 1/x1 + 1/x1 is different from 1/x1, same as above 1/(x1 + c1) + 1/(x1 + c2)
      // - TODO: list further exceptions
   

      var stack = new Polynomial[MaxStackSize];
      int topOfStack = -1;
      int pc = 0;
      int nextParamIdx = -1;
      OpCodes op;
      short arg;
      while (true) {
        ReadNext(code, ref pc, out op, out arg);
        switch (op) {
          case OpCodes.Nop: break;
          case OpCodes.LoadConst0: {
              ++topOfStack;
              stack[topOfStack] = new Polynomial(new Monomial(zero));
              break;
            }
          case OpCodes.LoadConst1: {
              ++topOfStack;
              stack[topOfStack] = new Polynomial(new Monomial(one));
              break;
            }
          case OpCodes.LoadParamN: {
              ++topOfStack;
              stack[topOfStack] = new Polynomial(new Monomial(one)); // TODO empty, or unique?
              break;
            }
          case OpCodes.LoadVar: {
              ++topOfStack;
              stack[topOfStack] = new Polynomial(new Monomial(varSymbols[arg]));

              break;
            }
          case OpCodes.Add: {
              stack[topOfStack - 1].Add(stack[topOfStack]);
              topOfStack--;
              break;
            }
          case OpCodes.Mul: {
              stack[topOfStack - 1].Mul(stack[topOfStack]);
              topOfStack--;
              break;
            }
          case OpCodes.Log: {
              var v1 = stack[topOfStack];
              stack[topOfStack] = new Polynomial(new Monomial(new FunctionFactor(UnaryFunctionType.Log, v1)));
              break;
            }
          case OpCodes.Exp: {
              var v1 = stack[topOfStack];
              stack[topOfStack] = new Polynomial(new Monomial(new FunctionFactor(UnaryFunctionType.Exp, v1)));
              break;
            }
          case OpCodes.Inv: {
              var v1 = stack[topOfStack];
              stack[topOfStack] = new Polynomial(new Monomial(new FunctionFactor(UnaryFunctionType.Inv, v1)));
              break;
            }
          case OpCodes.Exit:
            Contract.Assert(topOfStack == 0);
            return stack[topOfStack].GetHashCode();
          default: throw new InvalidOperationException();
        }
      }
    }

    private static void EvalTerms(HashSet<double> terms, double[] stack, ref int topOfStack) {
      ++topOfStack;
      stack[topOfStack] = terms.Sum();
      terms.Clear();
    }

    private static void ReadNext(byte[] code, ref int pc, out OpCodes op, out short s) {
      op = (OpCodes)Enum.ToObject(typeof(OpCodes), code[pc++]);
      s = 0;
      if (op == OpCodes.LoadVar) {
        s = (short)((code[pc] << 8) | code[pc + 1]);
        pc += 2;
      }
    }
  }
}