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+// Copyright 2008, 2009 Brady J. Garvin
+
+// This file is part of Covering Arrays by Simulated Annealing (CASA).
+
+// CASA 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.
+
+// CASA 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 CASA. If not, see <http://www.gnu.org/licenses/>.
+
+
+#include <cassert>
+#include <algorithm>
+
+#include "CombinadicIterator.H"
+
+using namespace std;
+
+CombinadicIterator::CombinadicIterator
+ (unsigned populationSize, unsigned sampleSize, Array<unsigned>relevant) :
+ populationSize(populationSize),
+ relevant(relevant),
+ notRelevant(populationSize - relevant.getSize()),
+ minimumRelevance(max((int)sampleSize - (int)notRelevant.getSize(), 1)),
+ maximumRelevance(min(relevant.getSize(), sampleSize)),
+ choiceFromRelevant(combinadic.begin(maximumRelevance)),
+ choiceFromNotRelevant(combinadic.begin(sampleSize - maximumRelevance)),
+ relevantCombination(sampleSize),
+ combination(sampleSize) {
+ assert(sampleSize <= populationSize);
+ for (unsigned i = 0, j = 0, k = 0; i < notRelevant.getSize(); ++i, ++j) {
+ while (k < relevant.getSize() && relevant[k] == j) {
+ ++j;
+ ++k;
+ }
+ notRelevant[i] = j;
+ }
+ updateCombinationFromRelevant();
+ updateCombination();
+}
+
+void CombinadicIterator::updateCombinationFromRelevant() {
+ for (unsigned i = maximumRelevance; i--;) {
+ relevantCombination[i] = relevant[choiceFromRelevant[i]];
+ }
+}
+
+void CombinadicIterator::updateCombination() {
+ for (unsigned i = combination.getSize(); i-- > maximumRelevance;) {
+ combination[i] = notRelevant[choiceFromNotRelevant[i - maximumRelevance]];
+ }
+ for (unsigned i = maximumRelevance; i--;) {
+ combination[i] = relevantCombination[i];
+ }
+ sort(combination + 0, combination + combination.getSize());
+}
+
+const Array<unsigned>CombinadicIterator::operator *() const {
+#ifndef NDEBUG
+ for (unsigned i = combination.getSize(); --i;) {
+ assert(combination[i - 1] < combination[i]);
+ }
+#endif
+ return combination;
+}
+
+CombinadicIterator::operator bool() const {
+ return combination.getSize();
+}
+
+CombinadicIterator&CombinadicIterator::operator ++() {
+ if (!combination.getSize()) {
+ return *this;
+ }
+ bool someFromNotRelevant = choiceFromNotRelevant.getSize();
+ if (someFromNotRelevant) {
+ combinadic.next(choiceFromNotRelevant);
+ }
+ if (!someFromNotRelevant ||
+ choiceFromNotRelevant[choiceFromNotRelevant.getSize() - 1] >=
+ populationSize - relevant.getSize()) {
+ combinadic.next(choiceFromRelevant);
+ if (choiceFromRelevant[maximumRelevance - 1] >= relevant.getSize()) {
+ --maximumRelevance;
+ if (maximumRelevance < minimumRelevance) {
+ combination = Array<unsigned>(0);
+ return *this;
+ }
+ choiceFromRelevant = combinadic.begin(maximumRelevance);
+ }
+ updateCombinationFromRelevant();
+ choiceFromNotRelevant =
+ combinadic.begin(combination.getSize() - maximumRelevance);
+ }
+ updateCombination();
+ return *this;
+}