mirror of
https://github.com/SoftFever/OrcaSlicer.git
synced 2025-10-28 19:21:20 -06:00
Not handling logical beds in arrange()
This commit is contained in:
parent
9372f1c6ad
commit
df7bb94daf
12 changed files with 256 additions and 272 deletions
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@ -59,20 +59,20 @@ extern template PackGroup Nester<BottomLeftPlacer, FirstFitSelection>::execute(
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template<class Placer = NfpPlacer,
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class Selector = FirstFitSelection,
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class Iterator = std::vector<Item>::iterator>
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PackGroup nest(Iterator from, Iterator to,
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void nest(Iterator from, Iterator to,
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const typename Placer::BinType& bin,
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Coord dist = 0,
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const typename Placer::Config& pconf = {},
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const typename Selector::Config& sconf = {})
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{
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Nester<Placer, Selector> nester(bin, dist, pconf, sconf);
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return nester.execute(from, to);
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nester.execute(from, to);
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}
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template<class Placer = NfpPlacer,
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class Selector = FirstFitSelection,
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class Iterator = std::vector<Item>::iterator>
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PackGroup nest(Iterator from, Iterator to,
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void nest(Iterator from, Iterator to,
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const typename Placer::BinType& bin,
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ProgressFunction prg,
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StopCondition scond = []() { return false; },
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@ -83,7 +83,7 @@ PackGroup nest(Iterator from, Iterator to,
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Nester<Placer, Selector> nester(bin, dist, pconf, sconf);
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if(prg) nester.progressIndicator(prg);
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if(scond) nester.stopCondition(scond);
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return nester.execute(from, to);
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nester.execute(from, to);
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}
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#ifdef LIBNEST2D_STATIC
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@ -91,14 +91,14 @@ PackGroup nest(Iterator from, Iterator to,
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extern template class Nester<NfpPlacer, FirstFitSelection>;
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extern template class Nester<BottomLeftPlacer, FirstFitSelection>;
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extern template PackGroup nest(std::vector<Item>::iterator from,
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extern template void nest(std::vector<Item>::iterator from,
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std::vector<Item>::iterator to,
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const Box& bin,
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Coord dist = 0,
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const NfpPlacer::Config& pconf,
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const FirstFitSelection::Config& sconf);
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extern template PackGroup nest(std::vector<Item>::iterator from,
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extern template void nest(std::vector<Item>::iterator from,
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std::vector<Item>::iterator to,
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const Box& bin,
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ProgressFunction prg,
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@ -112,20 +112,19 @@ extern template PackGroup nest(std::vector<Item>::iterator from,
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template<class Placer = NfpPlacer,
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class Selector = FirstFitSelection,
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class Container = std::vector<Item>>
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PackGroup nest(Container&& cont,
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void nest(Container&& cont,
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const typename Placer::BinType& bin,
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Coord dist = 0,
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const typename Placer::Config& pconf = {},
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const typename Selector::Config& sconf = {})
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{
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return nest<Placer, Selector>(cont.begin(), cont.end(),
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bin, dist, pconf, sconf);
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nest<Placer, Selector>(cont.begin(), cont.end(), bin, dist, pconf, sconf);
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}
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template<class Placer = NfpPlacer,
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class Selector = FirstFitSelection,
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class Container = std::vector<Item>>
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PackGroup nest(Container&& cont,
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void nest(Container&& cont,
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const typename Placer::BinType& bin,
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ProgressFunction prg,
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StopCondition scond = []() { return false; },
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@ -133,8 +132,8 @@ PackGroup nest(Container&& cont,
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const typename Placer::Config& pconf = {},
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const typename Selector::Config& sconf = {})
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{
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return nest<Placer, Selector>(cont.begin(), cont.end(),
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bin, prg, scond, dist, pconf, sconf);
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nest<Placer, Selector>(cont.begin(), cont.end(), bin, prg, scond, dist,
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pconf, sconf);
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}
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}
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@ -12,6 +12,8 @@
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namespace libnest2d {
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static const constexpr int BIN_ID_UNSET = -1;
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/**
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* \brief An item to be placed on a bin.
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*
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@ -34,9 +36,9 @@ class _Item {
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RawShape sh_;
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// Transformation data
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Vertex translation_;
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Radians rotation_;
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Coord inflation_;
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Vertex translation_{0, 0};
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Radians rotation_{0.0};
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Coord inflation_{0};
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// Info about whether the transformations will have to take place
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// This is needed because if floating point is used, it is hard to say
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@ -66,9 +68,7 @@ class _Item {
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BBCache(): valid(false) {}
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} bb_cache_;
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static const size_t ID_UNSET = size_t(-1);
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size_t id_{ID_UNSET};
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int binid_{BIN_ID_UNSET};
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bool fixed_{false};
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public:
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@ -149,8 +149,8 @@ public:
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inline bool isFixed() const noexcept { return fixed_; }
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inline void markAsFixed(bool fixed = true) { fixed_ = fixed; }
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inline void id(size_t idx) { id_ = idx; }
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inline long id() const noexcept { return id_; }
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inline void binId(int idx) { binid_ = idx; }
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inline int binId() const noexcept { return binid_; }
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/**
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* @brief Convert the polygon to string representation. The format depends
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@ -766,25 +766,6 @@ public:
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void clear() { impl_.clear(); }
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};
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using BinIdx = unsigned;
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template<class S, class Key = size_t> using _NestResult =
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std::vector<
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std::tuple<Key, // Identifier of the original shape
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TPoint<S>, // Translation calculated by nesting
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Radians, // Rotation calculated by nesting
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BinIdx> // Logical bin index, first is zero
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>;
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template<class T> struct Indexed {
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using ShapeType = T;
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static T& get(T& obj) { return obj; }
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};
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template<class K, class S> struct Indexed<std::pair<K, S>> {
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using ShapeType = S;
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static S& get(std::pair<K, S>& obj) { return obj.second; }
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};
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/**
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* The Arranger is the front-end class for the libnest2d library. It takes the
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* input items and outputs the items with the proper transformations to be
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@ -805,7 +786,6 @@ public:
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using Coord = TCoord<TPoint<typename Item::ShapeType>>;
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using PackGroup = _PackGroup<typename Item::ShapeType>;
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using ResultType = PackGroup;
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template<class K> using NestResult = _NestResult<ShapeType, K>;
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private:
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BinType bin_;
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@ -816,8 +796,13 @@ private:
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using TPItem = remove_cvref_t<Item>;
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using TSItem = remove_cvref_t<SItem>;
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std::vector<TPItem> item_cache_;
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StopCondition stopfn_;
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template<class It> using TVal = remove_cvref_t<typename It::value_type>;
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template<class It, class Out>
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using ConvertibleOnly =
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enable_if_t< std::is_convertible<TVal<It>, TPItem>::value, void>;
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public:
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@ -864,12 +849,20 @@ public:
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* The number of groups in the pack group is the number of bins opened by
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* the selection algorithm.
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*/
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template<class It, class Key = size_t>
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inline const NestResult<Key> execute(It from, It to,
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std::function<Key(It)> keyfn = nullptr)
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template<class It>
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inline ConvertibleOnly<It, void> execute(It from, It to)
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{
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if (!keyfn) keyfn = [to](It it) { return to - it; };
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return _execute(from, to, keyfn);
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auto infl = static_cast<Coord>(std::ceil(min_obj_distance_/2.0));
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if(infl > 0) std::for_each(from, to, [this, infl](Item& item) {
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item.inflate(infl);
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});
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selector_.template packItems<PlacementStrategy>(
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from, to, bin_, pconfig_);
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if(min_obj_distance_ > 0) std::for_each(from, to, [infl](Item& item) {
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item.inflate(-infl);
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});
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}
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/// Set a progress indicator function object for the selector.
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@ -890,74 +883,32 @@ public:
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}
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private:
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template<class It> using TVal = remove_cvref_t<typename It::value_type>;
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template<class It, class Out>
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using ConvertibleOnly =
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enable_if_t< std::is_convertible<TVal<It>, TPItem>::value, void>;
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template<class It, class Out>
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using NotConvertibleOnly =
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enable_if_t< ! std::is_convertible<TVal<It>, TPItem>::value, void>;
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// This function will be used only if the iterators are pointing to
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// a type compatible with the libnets2d::_Item template.
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// This way we can use references to input elements as they will
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// have to exist for the lifetime of this call.
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template<class It, class Key>
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inline ConvertibleOnly<It, const NestResult<Key>> _execute(
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It from, It to, std::function<Key(It)> keyfn)
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{
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{
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auto it = from; size_t id = 0;
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while(it != to)
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if (it->id() == Item::ID_UNSET) (it++)->id(id++);
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else { id = it->id() + 1; ++it; }
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}
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NestResult<Key> result(to - from);
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__execute(from, to, keyfn);
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BinIdx binidx = 0;
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for(auto &itmgrp : lastResult()) {
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for(const Item& itm : itmgrp)
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result[itm.id()] =
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std::make_tuple(keyfn(from + itm.id()), itm.translation(),
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itm.rotation(), binidx);
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++binidx;
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}
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return result;
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}
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// template<class It, class Key>
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// inline ConvertibleOnly<It, void> _execute(It from, It to)
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// {
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// __execute(from, to);
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// }
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template<class It, class Key = size_t>
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inline NotConvertibleOnly<It, const NestResult<Key>> _execute(
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It from, It to, std::function<Key(It)> keyfn)
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{
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item_cache_.reserve(to - from);
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for(auto it = from; it != to; ++it)
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item_cache_.emplace_back(Indexed<typename It::value_type>::get(*it));
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// template<class It> inline void _execute(It from, It to)
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// {
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// auto infl = static_cast<Coord>(std::ceil(min_obj_distance_/2.0));
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// if(infl > 0) std::for_each(from, to, [this](Item& item) {
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// item.inflate(infl);
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// });
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return _execute(item_cache_.begin(), item_cache_.end(), keyfn);
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}
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template<class It> inline void __execute(It from, It to)
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{
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auto infl = static_cast<Coord>(std::ceil(min_obj_distance_/2.0));
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if(infl > 0) std::for_each(from, to, [this](Item& item) {
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item.inflate(infl);
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});
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selector_.template packItems<PlacementStrategy>(
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from, to, bin_, pconfig_);
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// selector_.template packItems<PlacementStrategy>(
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// from, to, bin_, pconfig_);
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if(min_obj_distance_ > 0) std::for_each(from, to, [](Item& item) {
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item.inflate(-infl);
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});
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}
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// if(min_obj_distance_ > 0) std::for_each(from, to, [](Item& item) {
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// item.inflate(-infl);
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// });
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// }
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};
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}
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@ -711,7 +711,12 @@ public:
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addBin();
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packjob(placers[idx], remaining, idx); idx++;
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}
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int binid = 0;
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for(auto &bin : packed_bins_) {
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for(Item& itm : bin) itm.binId(binid);
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binid++;
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}
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}
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};
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@ -90,8 +90,10 @@ public:
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size_t j = 0;
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while(!was_packed && !cancelled()) {
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for(; j < placers.size() && !was_packed && !cancelled(); j++) {
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if((was_packed = placers[j].pack(*it, rem(it, store_) )))
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makeProgress(placers[j], j);
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if((was_packed = placers[j].pack(*it, rem(it, store_) ))) {
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it->get().binId(int(j));
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makeProgress(placers[j], j);
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}
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}
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if(!was_packed) {
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@ -372,27 +372,34 @@ TEST(GeometryAlgorithms, ArrangeRectanglesTight)
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Nester<BottomLeftPlacer, DJDHeuristic> arrange(bin);
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auto groups = arrange.execute(rects.begin(), rects.end());
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ASSERT_EQ(groups.size(), 1u);
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ASSERT_EQ(groups[0].size(), rects.size());
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arrange.execute(rects.begin(), rects.end());
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auto max_group = std::max_element(rects.begin(), rects.end(),
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[](const Item &i1, const Item &i2) {
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return i1.binId() < i2.binId();
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});
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int groups = max_group == rects.end() ? 0 : max_group->binId() + 1;
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ASSERT_EQ(groups, 1u);
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ASSERT_TRUE(
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std::all_of(rects.begin(), rects.end(), [](const Rectangle &itm) {
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return itm.binId() != BIN_ID_UNSET;
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}));
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// check for no intersections, no containment:
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for(auto result : groups) {
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bool valid = true;
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for(Item& r1 : result) {
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for(Item& r2 : result) {
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if(&r1 != &r2 ) {
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valid = !Item::intersects(r1, r2) || Item::touches(r1, r2);
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ASSERT_TRUE(valid);
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valid = (valid && !r1.isInside(r2) && !r2.isInside(r1));
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ASSERT_TRUE(valid);
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}
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bool valid = true;
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for(Item& r1 : rects) {
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for(Item& r2 : rects) {
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if(&r1 != &r2 ) {
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valid = !Item::intersects(r1, r2) || Item::touches(r1, r2);
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ASSERT_TRUE(valid);
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valid = (valid && !r1.isInside(r2) && !r2.isInside(r1));
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ASSERT_TRUE(valid);
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}
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}
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}
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}
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TEST(GeometryAlgorithms, ArrangeRectanglesLoose)
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@ -433,16 +440,25 @@ TEST(GeometryAlgorithms, ArrangeRectanglesLoose)
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Nester<BottomLeftPlacer, DJDHeuristic> arrange(bin, min_obj_distance);
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auto groups = arrange.execute(rects.begin(), rects.end());
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arrange.execute(rects.begin(), rects.end());
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ASSERT_EQ(groups.size(), 1u);
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ASSERT_EQ(groups[0].size(), rects.size());
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auto max_group = std::max_element(rects.begin(), rects.end(),
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[](const Item &i1, const Item &i2) {
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return i1.binId() < i2.binId();
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});
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size_t groups = max_group == rects.end() ? 0 : max_group->binId() + 1;
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ASSERT_EQ(groups, 1u);
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ASSERT_TRUE(
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std::all_of(rects.begin(), rects.end(), [](const Rectangle &itm) {
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return itm.binId() != BIN_ID_UNSET;
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}));
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// check for no intersections, no containment:
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auto result = groups[0];
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bool valid = true;
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for(Item& r1 : result) {
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for(Item& r2 : result) {
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for(Item& r1 : rects) {
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for(Item& r2 : rects) {
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if(&r1 != &r2 ) {
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valid = !Item::intersects(r1, r2);
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valid = (valid && !r1.isInside(r2) && !r2.isInside(r1));
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@ -554,27 +570,24 @@ TEST(GeometryAlgorithms, convexHull) {
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TEST(GeometryAlgorithms, NestTest) {
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std::vector<Item> input = prusaParts();
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libnest2d::nest(input, Box(250000000, 210000000), [](unsigned cnt) {
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std::cout << "parts left: " << cnt << std::endl;
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});
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auto max_binid_it = std::max_element(input.begin(), input.end(),
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[](const Item &i1, const Item &i2) {
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return i1.binId() < i2.binId();
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});
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size_t bins = max_binid_it == input.end() ? 0 : max_binid_it->binId() + 1;
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PackGroup result = libnest2d::nest(input,
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Box(250000000, 210000000),
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[](unsigned cnt) {
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std::cout
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<< "parts left: " << cnt
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<< std::endl;
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});
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ASSERT_LE(result.size(), 2);
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size_t partsum = std::accumulate(result.begin(),
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result.end(),
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size_t(0),
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[](size_t s,
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const decltype(
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result)::value_type &bin) {
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return s += bin.size();
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});
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ASSERT_EQ(input.size(), partsum);
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ASSERT_EQ(bins, 2u);
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ASSERT_TRUE(
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std::all_of(input.begin(), input.end(), [](const Item &itm) {
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return itm.binId() != BIN_ID_UNSET;
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}));
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}
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namespace {
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|
|||
Loading…
Add table
Add a link
Reference in a new issue