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Merge pull request #226 from jruderman/sort_empty
Fix UB when shuffling empty vecs
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commit
457b918697
@ -2001,8 +2001,8 @@ EX void generate_mines() {
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for(cell *c: currentmap->allcells())
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for(cell *c: currentmap->allcells())
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if(c->wall == waMineUnknown)
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if(c->wall == waMineUnknown)
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candidates.push_back(c);
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candidates.push_back(c);
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hrandom_shuffle(candidates);
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bounded_mine_max = isize(candidates);
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bounded_mine_max = isize(candidates);
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hrandom_shuffle(&candidates[0], bounded_mine_max);
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bounded_mine_quantity = int(bounded_mine_max * bounded_mine_percentage + 0.5);
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bounded_mine_quantity = int(bounded_mine_max * bounded_mine_percentage + 0.5);
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for(int i=0; i<bounded_mine_quantity; i++) candidates[i]->wall = waMineMine;
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for(int i=0; i<bounded_mine_quantity; i++) candidates[i]->wall = waMineMine;
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}
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}
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@ -1847,7 +1847,7 @@ EX namespace hive {
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}
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}
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}
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}
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hrandom_shuffle(&bugtomove[0], isize(bugtomove));
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hrandom_shuffle(bugtomove);
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sort(bugtomove.begin(), bugtomove.end());
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sort(bugtomove.begin(), bugtomove.end());
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int battlecount = 0;
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int battlecount = 0;
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@ -3611,7 +3611,7 @@ EX namespace windmap {
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vector<bool> inqueue(N, true);
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vector<bool> inqueue(N, true);
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vector<int> tocheck;
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vector<int> tocheck;
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for(int i=0; i<N; i++) tocheck.push_back(i);
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for(int i=0; i<N; i++) tocheck.push_back(i);
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hrandom_shuffle(&tocheck[0], isize(tocheck));
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hrandom_shuffle(tocheck);
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for(int a=0; a<isize(tocheck); a++) {
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for(int a=0; a<isize(tocheck); a++) {
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if(a >= 200*N) { printf("does not converge\n"); break; }
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if(a >= 200*N) { printf("does not converge\n"); break; }
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@ -852,7 +852,7 @@ EX void ambush(cell *c, int dogs) {
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int v = valence();
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int v = valence();
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if(v > 4) {
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if(v > 4) {
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for(cell *c: cl.lst) if(cl.getdist(c) == d) around.push_back(c);
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for(cell *c: cl.lst) if(cl.getdist(c) == d) around.push_back(c);
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hrandom_shuffle(&around[0], isize(around));
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hrandom_shuffle(around);
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}
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}
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else {
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else {
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for(int tries=0; tries<10000; tries++) {
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for(int tries=0; tries<10000; tries++) {
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2
game.cpp
2
game.cpp
@ -44,7 +44,7 @@ EX int hrand(int i) {
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#if HDR
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#if HDR
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template<class T, class... U> T pick(T x, U... u) { std::initializer_list<T> i = {x,u...}; return *(i.begin() + hrand(1+sizeof...(u))); }
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template<class T, class... U> T pick(T x, U... u) { std::initializer_list<T> i = {x,u...}; return *(i.begin() + hrand(1+sizeof...(u))); }
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template<class T> void hrandom_shuffle(T* x, int n) { for(int k=1; k<n; k++) swap(x[k], x[hrand(k+1)]); }
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template<class T> void hrandom_shuffle(T* x, int n) { for(int k=1; k<n; k++) swap(x[k], x[hrand(k+1)]); }
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template<class T> void hrandom_shuffle(T& container) { hrandom_shuffle(&container[0], isize(container)); }
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template<class T> void hrandom_shuffle(T& container) { hrandom_shuffle(container.data(), isize(container)); }
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template<class U> auto hrand_elt(U& container) -> decltype(container[0]) { return container[hrand(isize(container))]; }
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template<class U> auto hrand_elt(U& container) -> decltype(container[0]) { return container[hrand(isize(container))]; }
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template<class T, class U> T hrand_elt(U& container, T default_value) {
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template<class T, class U> T hrand_elt(U& container, T default_value) {
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if(container.empty()) return default_value;
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if(container.empty()) return default_value;
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@ -331,7 +331,7 @@ void find_track(cell *start, int sign, int len) {
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}
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}
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EX void block_cells(vector<cell*> to_block, function<bool(cell*)> blockbound) {
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EX void block_cells(vector<cell*> to_block, function<bool(cell*)> blockbound) {
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hrandom_shuffle(&to_block[0], isize(to_block));
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hrandom_shuffle(to_block);
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for(cell *c: to_block) switch(specialland) {
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for(cell *c: to_block) switch(specialland) {
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case laIce:
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case laIce:
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@ -1253,7 +1253,7 @@ void fillgroups() {
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do_classify();
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do_classify();
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vector<int> samples_to_sort;
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vector<int> samples_to_sort;
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for(int i=0; i<samples; i++) samples_to_sort.push_back(i);
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for(int i=0; i<samples; i++) samples_to_sort.push_back(i);
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hrandom_shuffle(&samples_to_sort[0], samples);
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hrandom_shuffle(samples_to_sort);
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for(int i=0; i<samples; i++) if(net[bids[i]].drawn_samples < net[bids[i]].max_group_here)
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for(int i=0; i<samples; i++) if(net[bids[i]].drawn_samples < net[bids[i]].max_group_here)
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showsample(i);
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showsample(i);
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distribute_neurons();
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distribute_neurons();
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