f1ced24f05
* multi swapchain draft * uwp fix * swapchain resize handling * swapchain buffercount * vsync toggle * tests fix * update * everything removed from graphicsdevice regarding global screen params, engine refactor * added GetSwapChainTexture() function to graphics device; screenshot() now requires swapChain * linux fix: vulkan device needs window handle for instance creation * refactor * removed unused includes * shader refactor and lensflare fix * swapchain clearcolor and other refactors * vulkan: no vector allocation in submit * tests fix * refactors * lens flare canvas size fix * gui refactor for canvas support * refactors * removed global canvas state * msaa fix * fixes * refactor to minimize interface changes * gui changes * checkbox fix * gui fixes * fixes * input system will accept window handle * editor fixes * refactor and removed resolution related system events * small editor update * refactor: renderpath inherits from canvas * fixed tests duh * image refactor * image fix * removed every using namespace std * pushconstant fix * editor: object picking only when necessary * removed include * dx12: copy fence waiting performed on CPU * dx12 copyallocator update * vulkan: copy allocator with timeline semaphores * missing include * dx12 copy allocator update * refactor * editor update * vulkan copy allocator fix * dx12 update * vulkan, dx12 fixes * version bump * vsync event helper * documentation update * updated vulkan, dx12, dxc
328 lines
7.1 KiB
C++
328 lines
7.1 KiB
C++
#include "wiRectPacker.h"
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#include <algorithm>
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namespace wiRectPacker
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{
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bool area(rect_xywh* a, rect_xywh* b) {
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return a->area() > b->area();
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}
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bool perimeter(rect_xywh* a, rect_xywh* b) {
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return a->perimeter() > b->perimeter();
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}
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bool max_side(rect_xywh* a, rect_xywh* b) {
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return std::max(a->w, a->h) > std::max(b->w, b->h);
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}
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bool max_width(rect_xywh* a, rect_xywh* b) {
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return a->w > b->w;
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}
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bool max_height(rect_xywh* a, rect_xywh* b) {
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return a->h > b->h;
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}
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// just add another comparing function name to cmpf to perform another packing attempt
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// more functions == slower but probably more efficient cases covered and hence less area wasted
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bool(*cmpf[])(rect_xywh*, rect_xywh*) = {
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area,
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perimeter,
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max_side,
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max_width,
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max_height
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};
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// if you find the algorithm running too slow you may double this factor to increase speed but also decrease efficiency
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// 1 == most efficient, slowest
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// efficiency may be still satisfying at 64 or even 256 with nice speedup
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int discard_step = 128;
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/*
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For every sorting function, algorithm will perform packing attempts beginning with a bin with width and height equal to max_side,
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and decreasing its dimensions if it finds out that rectangles did actually fit, increasing otherwise.
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Although, it's doing that in sort of binary search manner, so for every comparing function it will perform at most log2(max_side) packing attempts looking for the smallest possible bin size.
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discard_step = 128 means that the algorithm will break of the searching loop if the rectangles fit but "it may be possible to fit them in a bin smaller by 128"
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the bigger the value, the sooner the algorithm will finish but the rectangles will be packed less tightly.
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use discard_step = 1 for maximum tightness.
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the algorithm was based on http://www.blackpawn.com/texts/lightmaps/default.html
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the algorithm reuses the node tree so it doesn't reallocate them between searching attempts
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*/
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/*************************************************************************** CHAOS BEGINS HERE */
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struct node {
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struct pnode {
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node* pn;
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bool fill;
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pnode() : fill(false), pn(0) {}
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void set(int l, int t, int r, int b) {
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if (!pn) pn = new node(rect_ltrb(l, t, r, b));
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else {
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(*pn).rc = rect_ltrb(l, t, r, b);
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(*pn).id = false;
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}
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fill = true;
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}
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};
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pnode c[2];
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rect_ltrb rc;
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bool id;
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node(rect_ltrb rc = rect_ltrb()) : id(false), rc(rc) {}
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void reset(const rect_wh& r) {
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id = false;
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rc = rect_ltrb(0, 0, r.w, r.h);
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delcheck();
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}
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node* insert(rect_xywh& img) {
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if (c[0].pn && c[0].fill) {
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node* newn;
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if (newn = c[0].pn->insert(img)) return newn;
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return c[1].pn->insert(img);
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}
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if (id) return 0;
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int f = img.fits(rect_xywh(rc));
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switch (f) {
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case 0: return 0;
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case 1: break;
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case 2: id = true; return this;
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}
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int iw = img.w, ih = img.h;
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if (rc.w() - iw > rc.h() - ih) {
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c[0].set(rc.l, rc.t, rc.l + iw, rc.b);
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c[1].set(rc.l + iw, rc.t, rc.r, rc.b);
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}
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else {
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c[0].set(rc.l, rc.t, rc.r, rc.t + ih);
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c[1].set(rc.l, rc.t + ih, rc.r, rc.b);
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}
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return c[0].pn->insert(img);
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}
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void delcheck() {
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if (c[0].pn) { c[0].fill = false; c[0].pn->delcheck(); }
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if (c[1].pn) { c[1].fill = false; c[1].pn->delcheck(); }
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}
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~node() {
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delete c[0].pn;
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delete c[1].pn;
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}
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};
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rect_wh _rect2D(rect_xywh* const * v, int n, int max_s, std::vector<rect_xywh*>& succ, std::vector<rect_xywh*>& unsucc) {
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node root;
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const int funcs = (sizeof(cmpf) / sizeof(bool(*)(rect_xywh*, rect_xywh*)));
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rect_xywh** order[funcs];
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for (int f = 0; f < funcs; ++f) {
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order[f] = new rect_xywh*[n];
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memcpy(order[f], v, sizeof(rect_xywh*) * n);
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std::sort(order[f], order[f] + n, cmpf[f]);
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}
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rect_wh min_bin = rect_wh(max_s, max_s);
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int min_func = -1, best_func = 0, best_area = 0, _area = 0, step, fit, i;
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bool fail = false;
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for (int f = 0; f < funcs; ++f) {
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v = order[f];
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step = min_bin.w / 2;
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root.reset(min_bin);
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while (true) {
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if (root.rc.w() > min_bin.w) {
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if (min_func > -1) break;
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_area = 0;
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root.reset(min_bin);
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for (i = 0; i < n; ++i)
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if (root.insert(*v[i]))
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_area += v[i]->area();
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fail = true;
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break;
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}
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fit = -1;
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for (i = 0; i < n; ++i)
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if (!root.insert(*v[i])) {
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fit = 1;
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break;
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}
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if (fit == -1 && step <= discard_step)
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break;
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root.reset(rect_wh(root.rc.w() + fit*step, root.rc.h() + fit*step));
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step /= 2;
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if (!step)
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step = 1;
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}
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if (!fail && (min_bin.area() >= root.rc.area())) {
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min_bin = rect_wh(root.rc);
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min_func = f;
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}
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else if (fail && (_area > best_area)) {
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best_area = _area;
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best_func = f;
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}
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fail = false;
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}
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v = order[min_func == -1 ? best_func : min_func];
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int clip_x = 0, clip_y = 0;
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node* ret;
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root.reset(min_bin);
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for (i = 0; i < n; ++i) {
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if (ret = root.insert(*v[i])) {
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v[i]->x = ret->rc.l;
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v[i]->y = ret->rc.t;
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clip_x = std::max(clip_x, ret->rc.r);
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clip_y = std::max(clip_y, ret->rc.b);
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succ.push_back(v[i]);
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}
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else {
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unsucc.push_back(v[i]);
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}
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}
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for (int f = 0; f < funcs; ++f)
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delete[] order[f];
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return rect_wh(clip_x, clip_y);
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}
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bool pack(rect_xywh* const * v, int n, int max_s, std::vector<bin>& bins) {
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rect_wh _rect(max_s, max_s);
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for (int i = 0; i < n; ++i)
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if (!v[i]->fits(_rect)) return false;
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std::vector<rect_xywh*> vec[2], *p[2] = { vec, vec + 1 };
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vec[0].resize(n);
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vec[1].clear();
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memcpy(&vec[0][0], v, sizeof(rect_xywh*)*n);
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bin* b = 0;
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while (true) {
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bins.push_back(bin());
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b = &bins[bins.size() - 1];
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b->size = _rect2D(&((*p[0])[0]), static_cast<int>(p[0]->size()), max_s, b->rects, *p[1]);
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b->rects.shrink_to_fit();
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p[0]->clear();
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if (!p[1]->size()) break;
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std::swap(p[0], p[1]);
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}
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return true;
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}
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rect_wh::rect_wh(const rect_ltrb& rr) : w(rr.w()), h(rr.h()) {}
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rect_wh::rect_wh(const rect_xywh& rr) : w(rr.w), h(rr.h) {}
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rect_wh::rect_wh(int w, int h) : w(w), h(h) {}
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int rect_wh::fits(const rect_wh& r) const {
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if (w == r.w && h == r.h) return 2;
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if (w <= r.w && h <= r.h) return 1;
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return 0;
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}
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rect_ltrb::rect_ltrb() : l(0), t(0), r(0), b(0) {}
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rect_ltrb::rect_ltrb(int l, int t, int r, int b) : l(l), t(t), r(r), b(b) {}
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int rect_ltrb::w() const {
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return r - l;
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}
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int rect_ltrb::h() const {
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return b - t;
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}
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int rect_ltrb::area() const {
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return w()*h();
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}
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int rect_ltrb::perimeter() const {
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return 2 * w() + 2 * h();
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}
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void rect_ltrb::w(int ww) {
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r = l + ww;
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}
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void rect_ltrb::h(int hh) {
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b = t + hh;
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}
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rect_xywh::rect_xywh() : x(0), y(0) {}
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rect_xywh::rect_xywh(const rect_ltrb& rc) : x(rc.l), y(rc.t) { b(rc.b); r(rc.r); }
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rect_xywh::rect_xywh(int x, int y, int w, int h) : x(x), y(y), rect_wh(w, h) {}
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rect_xywh::operator rect_ltrb() {
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rect_ltrb rr(x, y, 0, 0);
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rr.w(w); rr.h(h);
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return rr;
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}
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int rect_xywh::r() const {
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return x + w;
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};
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int rect_xywh::b() const {
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return y + h;
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}
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void rect_xywh::r(int right) {
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w = right - x;
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}
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void rect_xywh::b(int bottom) {
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h = bottom - y;
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}
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int rect_wh::area() {
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return w*h;
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}
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int rect_wh::perimeter() {
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return 2 * w + 2 * h;
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}
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}
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