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--- ./src/Problem.hpp.orig 2005-03-04 10:28:03.429496128 +0100
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+++ ./src/Problem.hpp 2005-03-04 10:31:32.006787560 +0100
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@@ -306,14 +306,14 @@
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virtual G Goal_Value(T *a)
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{
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if (depth==0)
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- return tester->Goal_Value(a);
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+ return this->tester->Goal_Value(a);
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- Goal_Test<G,T> *endtester=tester;
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- tester=new Minimax_Goal_Test(depth-1,generator,other_acc,goal_acc,tester);
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+ Goal_Test<G,T> *endtester=this->tester;
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+ this->tester=new Minimax_Goal_Test(depth-1,this->generator,other_acc,this->goal_acc,this->tester);
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G ret_val=Successor_Goal_Test<G,T>::Goal_Value(a);
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- delete tester;
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- tester=endtester;
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- delete next;
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+ delete this->tester;
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+ this->tester=endtester;
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+ delete this->next;
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return ret_val;
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}
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@@ -340,19 +340,19 @@
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virtual G Goal_Value(T *a)
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{
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- Goal_Accumulator <G,T> *old=goal_acc;
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+ Goal_Accumulator <G,T> *old=this->goal_acc;
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Multi_Goal_Accumulator <G,T,greater<G> > *mga=new Multi_Goal_Accumulator<G,T,greater<G> >(branch);
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- goal_acc=mga;
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+ this->goal_acc=mga;
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Successor_Goal_Test<G,T>::Goal_Value(a);
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- goal_acc=old;
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+ this->goal_acc=old;
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for (mga->Init();!mga->IsEnd();mga->Next()) {
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T *state=mga->Get_State();
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- Multi_Minimax_Goal_Test *next=new Multi_Minimax_Goal_Test(d-1,b,gen,other,goal_acc,tester);
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+ Multi_Minimax_Goal_Test *next=new Multi_Minimax_Goal_Test(this->d-1,this->b,this->gen,other,this->goal_acc,this->tester);
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next->Goal_Value(state);
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- goal_acc->Put(accumulator->value,acc->state,acc->op);
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+ this->goal_acc->Put(this->accumulator->value,this->acc->state,this->acc->op);
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}
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- goal_acc->Put(mga->Get_State(),mga->Get_Operator(),mga->Get_Result());
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- return goal_acc->Get_Value();
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+ this->goal_acc->Put(mga->Get_State(),mga->Get_Operator(),mga->Get_Result());
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+ return this->goal_acc->Get_Value();
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}
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};
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--- ./src/Genetic.hpp.orig 2005-03-04 10:32:17.605855448 +0100
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+++ ./src/Genetic.hpp 2005-03-04 10:40:23.161039840 +0100
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@@ -216,9 +216,9 @@
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virtual Genetic_Operator<T> *Choose_Operator(void)
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{
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int max=(int)total_op_weight;
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- list<Genetic_Operator<T> *>::iterator start=operators.begin();
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- list<Genetic_Operator<T> *>::iterator end=operators.end();
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- list<Genetic_Operator<T> *>::iterator iter;
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+ typename list<Genetic_Operator<T> *>::iterator start=operators.begin();
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+ typename list<Genetic_Operator<T> *>::iterator end=operators.end();
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+ typename list<Genetic_Operator<T> *>::iterator iter;
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int r=rand()%max;
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int count=0;
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for (iter=start;iter!=end;iter++) {
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@@ -264,7 +264,7 @@
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cur_size++;
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}
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}
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- newpop->Eval_Fitness(fit_func);
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+ newpop->Eval_Fitness(this->fit_func);
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return newpop;
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}
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