Changeset 896 for cpp/frams/genetics

Timestamp:

11/30/19 01:30:22 (5 years ago)

Author:

Maciej Komosinski

Message:

Replaced #defined macros for popular random-related operations with functions

Location:

cpp/frams/genetics

Files:

• f4/f4_general.cpp (modified) (2 diffs)
• f4/f4_oper.cpp (modified) (9 diffs)
• f9/f9_oper.cpp (modified) (4 diffs)
• fB/fB_oper.cpp (modified) (14 diffs)
• fF/fF_oper.cpp (modified) (2 diffs)
• fH/fH_oper.cpp (modified) (11 diffs)
• fL/fL_matheval.cpp (modified) (11 diffs)
• fL/fL_oper.cpp (modified) (22 diffs)
• fT/fTest_oper.cpp (modified) (3 diffs)
• fn/fn_oper.cpp (modified) (3 diffs)
• genman.cpp (modified) (1 diff)
• genooperators.cpp (modified) (10 diffs)

cpp/frams/genetics/f4/f4_general.cpp

@@ -1210 +1210 @@
         int n = count();
         // pick a random node, between 0 and n-1
-        return ordNode(randomN(n));
+        return ordNode(rndUint(n));
 }
 
@@ -1355 +1355 @@
 {
         int i, j, res, t;
-        char tc1, tc2, tc3; // tc3 is only to ensure that in the end  of neuron parameter definition
+        char tc1, tc2, tc3; // tc3 is only to ensure that neuron parameter definition is completed
         int relfrom;
         double w;

cpp/frams/genetics/f4/f4_oper.cpp

@@ -158 +158 @@
                         // "X>" or "N>"
                         f4_node *n5 = NULL;
-                        double pr = rnd01;
+                        double pr = rndDouble(1);
                         pr -= 0.5;
                         if (pr < 0) n5 = new f4_node('X', n2, n2->pos);
@@ -204 +204 @@
                         n1->parent = n2;
                         // now with 50% chance swap children
-                        if (randomN(2) == 0)
+                        if (rndUint(2) == 0)
                         {
                                 n3 = n2->child;
@@ -275 +275 @@
                         // choose a simple node from ADD_SIMPLE_CODES
                         n1->parent->removeChild(n1);
-                        //f4_node *n2 = new f4_node(ADD_SIMPLE_CODES[randomN(strlen(ADD_SIMPLE_CODES))], n1->parent, n1->parent->pos);
+                        //f4_node *n2 = new f4_node(ADD_SIMPLE_CODES[rndUint(strlen(ADD_SIMPLE_CODES))], n1->parent, n1->parent->pos);
                         int modifierid = GenoOperators::getRandomChar(all_modifiers, excluded_modifiers.c_str());
                         f4_node *n2 = new f4_node(all_modifiers[modifierid], n1->parent, n1->parent->pos);
@@ -333 +333 @@
                                 n2->removeChild(n1);
                                 // n1 has two children. pick one randomly 50-50, destroy other
-                                if (randomN(2) == 0)
+                                if (rndUint(2) == 0)
                                 {
                                         n1->child->parent = n2;
@@ -429 +429 @@
 
         // 35% chance one of *GTS
-        prob1 = rnd01;
+        prob1 = rndDouble(1);
         prob1 -= 0.35f;
         if (prob1 < 0)
@@ -468 +468 @@
         case 0: // change type
                 // 80% for link, 20% for random sensor
-                if (rnd01 < 0.2f)
+                if (rndDouble(1) < 0.2f)
                 {
                         cl = GenoOperators::getRandomNeuroClassWithOutputAndNoInputs();
@@ -497 +497 @@
 void Geno_f4::nparNodeMakeRandom(f4_node *nn) const
 {
-        int sign = (int)(2.0f * rnd01);
-        int param = (int)(3.0f * rnd01);
+        int sign = (int)rndDouble(2);
+        int param = (int)rndDouble(3);
         if (param > 2) param = 2;
         nn->l1 = sign;
@@ -512 +512 @@
         // change count
         count = nn->i1;
-        prob1 = rnd01;
+        prob1 = rndDouble(1);
         if (prob1 < 0.5f) count++;
         else count--;
@@ -699 +699 @@
         // decide amounts of crossover, 0.25-0.75
         // adam: seems 0.1-0.9 -- MacKo
-        chg1 = 0.1f + 0.8f*rnd01;
-        chg2 = 0.1f + 0.8f*rnd01;
+        chg1 = 0.1 + rndDouble(0.8);
+        chg2 = 0.1 + rndDouble(0.8);
 
         copy1 = root1.duplicate();

cpp/frams/genetics/f9/f9_oper.cpp

@@ -5 +5 @@
 #include "f9_oper.h"
 #include "f9_conv.h"
-#include <common/nonstd.h> //randomN, rnd01
+#include <common/nonstd.h> //rndUint, rnd01
 
 
@@ -55 +55 @@
         for (int i = 0; i < len; i++)
         {
-                if (rnd01 < mut_prob) //normalize prob with the length of the genotype
+                if (rndDouble(1) < mut_prob) //normalize prob with the length of the genotype
                 {
                         char oldgene = gene[i];
-                        gene[i] = turtle_commands_f9[randomN(symbols)];
+                        gene[i] = turtle_commands_f9[rndUint(symbols)];
                         if (gene[i] != oldgene) changes++;
                 }
         }
 
-        if (rnd01 < mut_prob) //add or delete a random char
+        if (rndDouble(1) < mut_prob) //add or delete a random char
         {
                 SString newgeno(gene);
-                if (randomN(2) == 0) //add
+                if (rndUint(2) == 0) //add
                 {
                         int symbols = strlen(turtle_commands_f9);
-                        int p = randomN(len + 1);  //random location
+                        int p = rndUint(len + 1);  //random location
                         //printf("before add: %s\n",(const char*)newgeno);
-                        newgeno = newgeno.substr(0, p) + SString(turtle_commands_f9 + randomN(symbols), 1) + newgeno.substr(p);
+                        newgeno = newgeno.substr(0, p) + SString(turtle_commands_f9 + rndUint(symbols), 1) + newgeno.substr(p);
                         //printf("after add: %s\n",(const char*)newgeno);
                         changes++;
@@ -77 +77 @@
                 else if (len > 1) //delete
                 {
-                        int p = randomN(len);  //random location
+                        int p = rndUint(len);  //random location
                         //printf("before delete: %s\n",(const char*)newgeno);
                         newgeno = newgeno.substr(0, p) + newgeno.substr(p + 1);
@@ -95 +95 @@
 {
         int len1 = strlen(g1), len2 = strlen(g2);
-        int p1 = randomN(len1);  //random cut point for first genotype
-        int p2 = randomN(len2);  //random cut point for second genotype
+        int p1 = rndUint(len1);  //random cut point for first genotype
+        int p2 = rndUint(len2);  //random cut point for second genotype
         char *child1 = (char*)malloc(p1 + len2 - p2 + 1);
         char *child2 = (char*)malloc(p2 + len1 - p1 + 1);

cpp/frams/genetics/fB/fB_oper.cpp

@@ -246 +246 @@
         {
                 std::list<SString> tokenized = tokenizeSequence(line);
-                int rndid = randomN(tokenized.size()); // select random letter from genotype
+                int rndid = rndUint(tokenized.size()); // select random letter from genotype
                 // increment/decrement character - when overflow happens, this method
                 // uses reflect method
@@ -254 +254 @@
                 if ((*it).len() == 1)
                 {
-                        if (randomN(2) == 0)
+                        if (rndUint(2) == 0)
                         {
                                 if ((*it)[0] == 'a') (*it).directWrite()[0] = 'b';
@@ -285 +285 @@
                 std::list<SString> tokenized = tokenizeSequence(line);
                 std::list<SString>::iterator it = tokenized.begin();
-                int rndid = randomN(tokenized.size()); // select random insertion point
+                int rndid = rndUint(tokenized.size()); // select random insertion point
                 std::advance(it, rndid);
                 NeuroClass *cls = getRandomNeuroClass();
@@ -306 +306 @@
                 chg = 1.0 / line.len();
                 std::list<SString> tokenized = tokenizeSequence(line);
-                int rndid = randomN(tokenized.size()); // select random insertion point
+                int rndid = rndUint(tokenized.size()); // select random insertion point
                 std::list<SString>::iterator it = tokenized.begin();
                 std::advance(it, rndid);
                 SString letter = "a";
-                letter.directWrite()[0] = 'a' + randomN(26);
+                letter.directWrite()[0] = 'a' + rndUint(26);
                 tokenized.insert(it, letter);
                 line = detokenizeSequence(&tokenized);
@@ -320 +320 @@
                 std::list<SString> tokenized = tokenizeSequence(line);
                 std::list<SString>::iterator it = tokenized.begin();
-                int rndid = randomN(tokenized.size()); // select random deletion point
+                int rndid = rndUint(tokenized.size()); // select random deletion point
                 std::advance(it, rndid);
                 tokenized.erase(it);
@@ -328 +328 @@
         case FB_DUPLICATION:
         {
-                int rndgene = randomN(fB_GenoHelpers::geneCount(line));
+                int rndgene = rndUint(fB_GenoHelpers::geneCount(line));
                 int start, end;
                 SString gene = fB_GenoHelpers::getGene(rndgene, line, start, end);
@@ -342 +342 @@
                 for (int i = 0; i < 4; i++)
                 {
-                        cuts[i] = randomN(tokenized.size());
+                        cuts[i] = rndUint(tokenized.size());
                 }
                 std::sort(cuts.begin(), cuts.end());
@@ -407 +407 @@
         {
                 // get random gene from first parent
-                int choice = randomN(fB_GenoHelpers::geneCount(parent1));
+                int choice = rndUint(fB_GenoHelpers::geneCount(parent1));
                 int start, end;
                 SString gene = fB_GenoHelpers::getGene(choice, parent1, start, end);
@@ -414 +414 @@
                 chg2 = (float)parent2.len() / (float)child2.len();
                 // do the same for second parent
-                choice = randomN(fB_GenoHelpers::geneCount(parent2));
+                choice = rndUint(fB_GenoHelpers::geneCount(parent2));
                 gene = fB_GenoHelpers::getGene(choice, parent2, start, end);
                 child1 = gene + parent1;
@@ -428 +428 @@
         //                      int start, end;
         //                      SString gene = fB_GenoHelpers::getGene(i, parent1, start, end);
-        //                      if (randomN(2) == 0)
+        //                      if (rndUint(2) == 0)
         //                      {
         //                              child1 += gene;
@@ -445 +445 @@
         //                      int start, end;
         //                      SString gene = fB_GenoHelpers::getGene(i, parent2, start, end);
-        //                      if (randomN(2) == 0)
+        //                      if (rndUint(2) == 0)
         //                      {
         //                              child1 += gene;
@@ -474 +474 @@
                                 i < fB_GenoHelpers::geneCountNoNested(parent2))
                         {
-                                if (randomN(2) == 0)
+                                if (rndUint(2) == 0)
                                 {
                                         to1 = fB_GenoHelpers::getNonNestedGene(i, parent1, start, end);
@@ -489 +489 @@
                         else if (i < fB_GenoHelpers::geneCountNoNested(parent1))
                         {
-                                if (randomN(2) == 0)
+                                if (rndUint(2) == 0)
                                 {
                                         to1 = fB_GenoHelpers::getNonNestedGene(i, parent1, start, end);
@@ -501 +501 @@
                         else // if (i < fB_GenoHelpers::geneCountNoNested(parent2))
                         {
-                                if (randomN(2) == 0)
+                                if (rndUint(2) == 0)
                                 {
                                         to1 = fB_GenoHelpers::getNonNestedGene(i, parent2, start, end);

cpp/frams/genetics/fF/fF_oper.cpp

@@ -1 +1 @@
 // This file is a part of Framsticks SDK.  http://www.framsticks.com/
-// Copyright (C) 1999-2018  Maciej Komosinski and Szymon Ulatowski.
+// Copyright (C) 1999-2019  Maciej Komosinski and Szymon Ulatowski.
 // See LICENSE.txt for details.
 
 #include "fF_oper.h"
 #include "fF_genotype.h"
-#include <common/nonstd.h> //randomN, rnd01
+#include <common/nonstd.h> //rndUint, rnd01
 
 
@@ -49 +49 @@
         par.load(gene);
         static const int propsToMutate[] = fF_PROPS_TO_MUTATE;
-        int which = randomN(ARRAY_LENGTH(propsToMutate));
+        int which = rndUint(ARRAY_LENGTH(propsToMutate));
         bool mutated_ok = GenoOperators::mutatePropertyNaive(par.param, propsToMutate[which]);
         if (mutated_ok)

cpp/frams/genetics/fH/fH_oper.cpp

@@ -107 +107 @@
         for (unsigned int i = 0; i < parent1->sticks.size(); i++)
         {
-                if (randomN(2) == 0)
+                if (rndUint(2) == 0)
                 {
                         child1->sticks.push_back(parent1->sticks[i]);
@@ -120 +120 @@
         for (unsigned int i = 0; i < parent2->sticks.size(); i++)
         {
-                if (randomN(2) == 0)
+                if (rndUint(2) == 0)
                 {
                         child1->sticks.push_back(parent2->sticks[i]);
@@ -140 +140 @@
         for (unsigned int i = 0; i < parent1->neurons.size(); i++)
         {
-                if ((randomN(2) == 0 || skip2) && !skip1)
+                if ((rndUint(2) == 0 || skip2) && !skip1)
                 {
                         child1->neurons.push_back(parent1->neurons[i]);
@@ -153 +153 @@
         for (unsigned int i = 0; i < parent2->neurons.size(); i++)
         {
-                if ((randomN(2) == 0 || skip2) && !skip1)
+                if ((rndUint(2) == 0 || skip2) && !skip1)
                 {
                         child1->neurons.push_back(parent2->neurons[i]);
@@ -166 +166 @@
         for (unsigned int i = 0; i < parent1->connections.size(); i++)
         {
-                if ((randomN(2) == 0 || skip2) && !skip1)
+                if ((rndUint(2) == 0 || skip2) && !skip1)
                 {
                         child1->connections.push_back(parent1->connections[i]);
@@ -179 +179 @@
         for (unsigned int i = 0; i < parent2->connections.size(); i++)
         {
-                if ((randomN(2) == 0 || skip2) && !skip1)
+                if ((rndUint(2) == 0 || skip2) && !skip1)
                 {
                         child1->connections.push_back(parent2->connections[i]);
@@ -338 +338 @@
         if (changedimensions)
         {
-                int i = randomN(2 * dimensions);
+                int i = rndUint(2 * dimensions);
                 changeDoubleProperty(i, par, handle->type);
         }
@@ -344 +344 @@
         if (changeproperties)
         {
-                int i = 2 * dimensions + randomN(par.getPropCount() - 2 * dimensions);
+                int i = 2 * dimensions + rndUint(par.getPropCount() - 2 * dimensions);
                 changeDoubleProperty(i, par, handle->type);
         }
@@ -360 +360 @@
         for (int i = 0; i < dimensions; i++)
         {
-                par.setDouble(i, min + rnd0N(max - min));
-                par.setDouble(i + dimensions, min + rnd0N(max - min));
+                par.setDouble(i, min + rndDouble(max - min));
+                par.setDouble(i + dimensions, min + rndDouble(max - min));
         }
         handle->loadProperties(par);
         if (handle->type != fHBodyType::NEURON)
         {
-                int i = 2 * dimensions + randomN(par.getPropCount() - 2 * dimensions);
+                int i = 2 * dimensions + rndUint(par.getPropCount() - 2 * dimensions);
                 changeDoubleProperty(i, par, handle->type);
         }
@@ -406 +406 @@
                 allhandlescount += creature->sticks.size();
         }
-        unsigned int toselect = randomN(allhandlescount);
+        unsigned int toselect = rndUint(allhandlescount);
         if (toselect < creature->connections.size())
         {
@@ -436 +436 @@
         if (par.getPropCount() > 0)
         {
-                int i = randomN(par.getPropCount());
+                int i = rndUint(par.getPropCount());
                 if (*par.type(i) == 'f')
                 {

cpp/frams/genetics/fL/fL_matheval.cpp

@@ -613 +613 @@
 void MathEvaluation::mutateValueOrVariable(MathEvaluation::Number *&currval, bool usetime)
 {
-        if (randomN(2) == 0 && varcount > 0) // use variable
+        if (rndUint(2) == 0 && varcount > 0) // use variable
         {
                 if (currval && currval->type == TokenType::NUMBER)
@@ -619 +619 @@
                         delete currval;
                 }
-                int var = randomN(varcount + (usetime ? 1 : 0));
+                int var = rndUint(varcount + (usetime ? 1 : 0));
                 if (varcount == var) // time is used
                 {
@@ -633 +633 @@
                 if (!currval || currval->type == TokenType::VARIABLE)
                 {
-                        currval = new Number(rnd01);
+                        currval = new Number(rndDouble(1));
                 }
                 else
                 {
-                        currval->value = rnd01;
+                        currval->value = rndDouble(1);
                 }
         }
@@ -654 +654 @@
                 count = operatorstrings.size() - arithmeticoperatorscount;
         }
-        randop += randomN(count);
+        randop += rndUint(count);
         return operators[operatorstrings[randop]];
 }
@@ -663 +663 @@
         {
                 int currsize = postfixlist.size();
-                int varid = randomN(varcount);
+                int varid = rndUint(varcount);
                 postfixlist.push_back(vars[varid]);
-                if (randomN(2) == 0 && varcount > 1)
-                {
-                        int varid2 = randomN(varcount - 1);
+                if (rndUint(2) == 0 && varcount > 1)
+                {
+                        int varid2 = rndUint(varcount - 1);
                         if (varid2 >= varid) varid2++;
                         postfixlist.push_back(vars[varid2]);
@@ -673 +673 @@
                 else
                 {
-                        Number *num = new Number(rnd01);
+                        Number *num = new Number(rndDouble(1));
                         postfixlist.push_back(num);
                 }
-                int opid = arithmeticoperatorscount + randomN(comparisonoperatorscount);
+                int opid = arithmeticoperatorscount + rndUint(comparisonoperatorscount);
                 postfixlist.push_back(operators[operatorstrings[opid]]);
                 if (currsize > 0)
@@ -689 +689 @@
         if (postfixlist.size() == 0)
         {
-                Number *val = new Number(rnd01);
+                Number *val = new Number(rndDouble(1));
                 postfixlist.push_back(val);
                 return -1;
         }
-        int method = randomN(postfixlist.size() < MAX_MUT_FORMULA_SIZE ? MATH_MUT_COUNT : MATH_MUT_COUNT - 1);
+        int method = rndUint(postfixlist.size() < MAX_MUT_FORMULA_SIZE ? MATH_MUT_COUNT : MATH_MUT_COUNT - 1);
         switch (method)
         {
@@ -704 +704 @@
                 std::list<Token *>::iterator it = postfixlist.begin();
                 // insertion can be applied from 1st occurrence
-                int insertlocation = 1 + randomN(postfixlist.size() - 1);
+                int insertlocation = 1 + rndUint(postfixlist.size() - 1);
                 std::advance(it, insertlocation);
                 Operator *rndop;
@@ -732 +732 @@
                         id++;
                 }
-                int randid = randomN(numbersineval.size());
+                int randid = rndUint(numbersineval.size());
                 Number *numptr = (Number *)(*numbersineval[randid]);
                 mutateValueOrVariable(numptr, usetime);
@@ -750 +750 @@
                 if (ops.size() > 0)
                 {
-                        int randid = randomN(ops.size());
+                        int randid = rndUint(ops.size());
                         Operator *rndop;
                         if (randid == (int)ops.size() - 1)
@@ -783 +783 @@
                 if (firstofpairs.size() > 0)
                 {
-                        int rndid = randomN(firstofpairs.size());
+                        int rndid = rndUint(firstofpairs.size());
                         if ((*firstofpairs[rndid])->type == TokenType::NUMBER)
                         {

cpp/frams/genetics/fL/fL_oper.cpp

@@ -133 +133 @@
                 if (newword->name.startsWith("rot"))
                 {
-                        double rot = 2 * rnd01;
+                        double rot = rndDouble(2);
                         MathEvaluation *eval = new MathEvaluation(0);
                         eval->convertString(SString::valueOf(rot).c_str());
@@ -149 +149 @@
                 {
                         MathEvaluation *eval = new MathEvaluation(0);
-                        eval->convertString(SString::valueOf(2 * rnd01 - 1).c_str());
+                        eval->convertString(SString::valueOf(rndDouble(2) - 1).c_str());
                         newword->parevals[0] = eval;
                 }
@@ -171 +171 @@
         else
         {
-                int rid = randomN(creature->rules.size());
+                int rid = rndUint(creature->rules.size());
                 list = &creature->rules[rid]->objsucc;
                 numparams = creature->rules[rid]->objpred->npar;
@@ -183 +183 @@
         if (method == FL_ADD_OTHER && creature->builtincount < (int)creature->words.size())
         {
-                return creature->words[creature->wordnames[creature->builtincount + randomN((int)creature->words.size() - creature->builtincount)]];
+                return creature->words[creature->wordnames[creature->builtincount + rndUint((int)creature->words.size() - creature->builtincount)]];
         }
         else
@@ -209 +209 @@
                 case FL_ADD_ROT:
                 {
-                        int rottype = randomN(3);
+                        int rottype = rndUint(3);
                         switch (rottype)
                         {
@@ -287 +287 @@
                 case FL_CHG_ITER:
                 {
-                        if (randomN(2) == 0)
+                        if (rndUint(2) == 0)
                         {
                                 creature->time = creature->time + iterchangestep <= ExtValue::getDouble(FL_MAXITER) ?
@@ -303 +303 @@
                         if (creature->rules.size() > 0)
                         {
-                                int ruleid = randomN(creature->rules.size());
+                                int ruleid = rndUint(creature->rules.size());
                                 if (!creature->rules[ruleid]->condeval)
                                 {
@@ -340 +340 @@
                         if (wordswithnorules.size() > 0)
                         {
-                                int predid = randomN(wordswithnorules.size());
+                                int predid = rndUint(wordswithnorules.size());
                                 fL_Rule *newrule = new fL_Rule(0,0);
                                 fL_Word *pred = new fL_Word();
@@ -352 +352 @@
                         else if (creature->rules.size() > 0)
                         {
-                                int ruleid = randomN(creature->rules.size());
+                                int ruleid = rndUint(creature->rules.size());
                                 fL_Rule *newrule = new fL_Rule(0, 0);
                                 fL_Word *pred = new fL_Word();
@@ -392 +392 @@
                         if (creature->countDefinedWords() <= maxdefinedwords)
                         {
-                                int npar = randomN(ExtValue::getInt(FL_MAXPARAMS, false));
+                                int npar = rndUint(ExtValue::getInt(FL_MAXPARAMS, false));
                                 for (int i = 0; i < maxdefinedwords; i++)
                                 {
@@ -421 +421 @@
                                 if (list->size() > 1)
                                 {
-                                        int rndid = randomN(list->size() - 1);
+                                        int rndid = rndUint(list->size() - 1);
                                         int j = 0;
                                         std::list<fL_Word *>::iterator it = list->begin();
@@ -455 +455 @@
                         else
                         {
-                                int rndid = randomN(list->size());
+                                int rndid = rndUint(list->size());
                                 std::list<fL_Word *>::iterator it = list->begin();
                                 std::advance(it, rndid);
@@ -482 +482 @@
                         int tmp = 0;
                         std::list<fL_Word *> *list = selectRandomSequence(creature, numpars, tmp);
-                        int rndid = randomN(list->size());
+                        int rndid = rndUint(list->size());
                         std::list<fL_Word *>::iterator it = list->begin();
                         std::advance(it, rndid);
@@ -512 +512 @@
                                 fL_Branch *start = new fL_Branch(fL_Branch::BranchType::OPEN, 0, 0);
                                 list->insert(it, start);
-                                int rottype = randomN(2);
+                                int rottype = rndUint(2);
                                 switch (rottype)
                                 {
@@ -531 +531 @@
                         int tmp = 0;
                         std::list<fL_Word *> *list = selectRandomSequence(creature, numpars, tmp);
-                        int rndid = randomN(list->size());
+                        int rndid = rndUint(list->size());
                         std::list<fL_Word *>::iterator selectedword = list->begin();
                         std::advance(selectedword, rndid);
@@ -545 +545 @@
                                 int numpars = 0;
                                 std::list<fL_Word *> *list = selectRandomSequence(creature, numpars, tmp);
-                                int rndid = randomN(list->size());
+                                int rndid = rndUint(list->size());
                                 std::list<fL_Word *>::iterator it = list->begin();
                                 std::advance(it, rndid);
@@ -577 +577 @@
                                         if (available.size() > 0)
                                         {
-                                                int newnameid = randomN(available.size());
+                                                int newnameid = rndUint(available.size());
                                                 (*selectedword)->name = available[newnameid]->name;
                                         }
@@ -593 +593 @@
                                 if ((*selectedword)->npar > 0)
                                 {
-                                        int randeval = randomN((*selectedword)->npar);
+                                        int randeval = rndUint((*selectedword)->npar);
                                         Param par((*selectedword)->tab, (*selectedword)->data);
                                         if ((*selectedword)->builtin && (*selectedword)->name == "N"
@@ -614 +614 @@
                                                         if (w->npar > 0)
                                                         {
-                                                                int rndattr = randomN(w->npar);
+                                                                int rndattr = rndUint(w->npar);
                                                                 if (!w->parevals[rndattr])
                                                                 {
@@ -638 +638 @@
                                                                 if (w->npar > 0)
                                                                 {
-                                                                        int rndattr = randomN(w->npar);
+                                                                        int rndattr = rndUint(w->npar);
                                                                         for (int i = 0; i < w->npar; i++)
                                                                         {
@@ -752 +752 @@
                 for (int i = 0; i < numselrules; i++)
                 {
-                        int rulid = randomN(from->rules.size());
+                        int rulid = rndUint(from->rules.size());
                         fL_Rule *rul = from->rules[rulid];
                         fL_Rule *newrule = new fL_Rule(0, 0);
@@ -841 +841 @@
         creature2template->parseGenotype(g2);
 
-        int numselrules = 1 + randomN(XOVER_MAX_MIGRATED_RULES);
+        int numselrules = 1 + rndUint(XOVER_MAX_MIGRATED_RULES);
         numselrules = numselrules < (int)creature1->rules.size() ? numselrules : (int)creature1->rules.size();
 
         migrateRandomRules(creature1template, creature2, numselrules);
 
-        numselrules = 1 + randomN(XOVER_MAX_MIGRATED_RULES);
+        numselrules = 1 + rndUint(XOVER_MAX_MIGRATED_RULES);
         numselrules = numselrules < (int)creature1->rules.size() ? numselrules : (int)creature1->rules.size();
 

cpp/frams/genetics/fT/fTest_oper.cpp

@@ -1 +1 @@
 // This file is a part of Framsticks SDK.  http://www.framsticks.com/
-// Copyright (C) 1999-2015  Maciej Komosinski and Szymon Ulatowski.
+// Copyright (C) 1999-2019  Maciej Komosinski and Szymon Ulatowski.
 // See LICENSE.txt for details.
 
@@ -88 +88 @@
         int changes = 0, len = strlen(geno);
         for (int i = 0; i < len; i++)
-                if (rnd01 < prob) //normalize prob with length of genotype
+                if (rndDouble(1) < prob) //normalize prob with length of genotype
                 {
-                        geno[i] = a[randomN(4)];
+                        geno[i] = a[rndUint(4)];
                         changes++;
                 }
@@ -101 +101 @@
 {
         int len1 = strlen(g1), len2 = strlen(g2);
-        int p1 = randomN(len1);  //random cut point for first genotype
-        int p2 = randomN(len2);  //random cut point for second genotype
+        int p1 = rndUint(len1);  //random cut point for first genotype
+        int p2 = rndUint(len2);  //random cut point for second genotype
         char *child1 = (char*)malloc(p1 + len2 - p2 + 1);
         char *child2 = (char*)malloc(p2 + len1 - p1 + 1);

cpp/frams/genetics/fn/fn_oper.cpp

@@ -5 +5 @@
 #include "fn_oper.h"
 #include "fn_conv.h"
-#include <common/nonstd.h> //randomN, rnd01
+#include <common/nonstd.h> //rndUint, rnd01
 
 
@@ -80 +80 @@
         if (mut_single_var) //mutate only one, randomly selected variable
         {
-                int which = randomN(values.size());
+                int which = rndUint(values.size());
                 values[which] = GenoOperators::mutateCreep('f', values[which], bound_low[which], bound_high[which], stddev[which], false);
                 chg = 1.0f / values.size();
@@ -103 +103 @@
         //xover_proportion = 0.1; //testing...
 
-        double proportion = xover_proportion_random ? 0.5 + rnd0N(0.5) : xover_proportion;
+        double proportion = xover_proportion_random ? 0.5 + rndDouble(0.5) : xover_proportion;
 
         chg1 = proportion;

cpp/frams/genetics/genman.cpp

@@ -362 +362 @@
                 {
                         char *gn;
-                        if (g1n[0] && g2n[0]) if (randomN(2) == 0) g1n[0] = 0; else g2n[0] = 0; //both provided? we want only one
+                        if (g1n[0] && g2n[0]) if (rndUint(2) == 0) g1n[0] = 0; else g2n[0] = 0; //both provided? we want only one
                         if (g1n[0]) { gn = g1n; chg = chg1; }
                         else { gn = g2n; chg = chg2; }

cpp/frams/genetics/genooperators.cpp

@@ -38 +38 @@
         int i;
         for (i = 0; i < count; i++) sum += probtab[i];
-        double sel = rnd01*sum;
+        double sel = rndDouble(sum);
         for (sum = 0, i = 0; i < count; i++) { sum += probtab[i]; if (sel < sum) return i; }
         return -1;
@@ -81 +81 @@
                 neucls = n->getClass() == NULL ? 0 : n->getClass()->getProperties().getPropCount();
         if (neuext + neucls == 0) return -1; //no properties in this neuron
-        int index = randomN(neuext + neucls);
+        int index = rndUint(neuext + neucls);
         if (index >= neuext) index = index - neuext + 100;
         return index;
@@ -142 +142 @@
         {
                 result = int(result + 0.5);
-                if (result == current) result += randomN(2) * 2 - 1; //force some change
+                if (result == current) result += rndUint(2) * 2 - 1; //force some change
         }
         else
@@ -238 +238 @@
                 if (Neuro::getClass(i)->genactive)
                         active.push_back(Neuro::getClass(i));
-        if (active.size() == 0) return NULL; else return active[randomN(active.size())];
+        if (active.size() == 0) return NULL; else return active[rndUint(active.size())];
 }
 
@@ -247 +247 @@
                 if (Neuro::getClass(i)->genactive && Neuro::getClass(i)->getPreferredOutput() != 0)
                         active.push_back(Neuro::getClass(i));
-        if (active.size() == 0) return NULL; else return active[randomN(active.size())];
+        if (active.size() == 0) return NULL; else return active[rndUint(active.size())];
 }
 
@@ -256 +256 @@
                 if (Neuro::getClass(i)->genactive && Neuro::getClass(i)->getPreferredInputs() != 0)
                         active.push_back(Neuro::getClass(i));
-        if (active.size() == 0) return NULL; else return active[randomN(active.size())];
+        if (active.size() == 0) return NULL; else return active[rndUint(active.size())];
 }
 
@@ -265 +265 @@
                 if (Neuro::getClass(i)->genactive && Neuro::getClass(i)->getPreferredOutput() != 0 && Neuro::getClass(i)->getPreferredInputs() == 0)
                         active.push_back(Neuro::getClass(i));
-        if (active.size() == 0) return NULL; else return active[randomN(active.size())];
+        if (active.size() == 0) return NULL; else return active[rndUint(active.size())];
 }
 
@@ -274 +274 @@
                 if (NClist[i]->getPreferredOutput() != 0) //this NeuroClass provides output
                         allowed.push_back(i);
-        if (allowed.size() == 0) return -1; else return allowed[randomN(allowed.size())];
+        if (allowed.size() == 0) return -1; else return allowed[rndUint(allowed.size())];
 }
 
@@ -283 +283 @@
                 if (NClist[i]->getPreferredInputs() != 0) //this NeuroClass wants one input connection or more                  
                         allowed.push_back(i);
-        if (allowed.size() == 0) return -1; else return allowed[randomN(allowed.size())];
+        if (allowed.size() == 0) return -1; else return allowed[rndUint(allowed.size())];
 }
 
@@ -291 +291 @@
         for (size_t i = 0; i < strlen(choices); i++) if (!strchrn0(excluded, choices[i])) allowed_count++;
         if (allowed_count == 0) return -1; //no char is allowed
-        int rnd_index = randomN(allowed_count) + 1;
+        int rnd_index = rndUint(allowed_count) + 1;
         allowed_count = 0;
         for (size_t i = 0; i < strlen(choices); i++)