// SPDX-License-Identifier: GPL-2.0-or-later /** @file * TODO: insert short description here *//* * Authors: * see git history * Fred * * Copyright (C) 2018 Authors * Released under GNU GPL v2+, read the file 'COPYING' for more information. */ #include #include #include <2geom/affine.h> #include "livarot/Path.h" #include "livarot/path-description.h" /* * Reassembling polyline segments into cubic bezier patches * thes functions do not need the back data. but they are slower than recomposing * path descriptions when you have said back data (it's always easier with a model) * there's a bezier fitter in bezier-utils.cpp too. the main difference is the way bezier patch are split * here: walk on the polyline, trying to extend the portion you can fit by respecting the treshhold, split when * treshhold is exceeded. when encountering a "forced" point, lower the treshhold to favor splitting at that point * in bezier-utils: fit the whole polyline, get the position with the higher deviation to the fitted curve, split * there and recurse */ // algo d'origine: http://www.cs.mtu.edu/~shene/COURSES/cs3621/NOTES/INT-APP/CURVE-APP-global.html // need the b-spline basis for cubic splines // pas oublier que c'est une b-spline clampee // et que ca correspond a une courbe de bezier normale #define N03(t) ((1.0-t)*(1.0-t)*(1.0-t)) #define N13(t) (3*t*(1.0-t)*(1.0-t)) #define N23(t) (3*t*t*(1.0-t)) #define N33(t) (t*t*t) // quadratic b-splines (jsut in case) #define N02(t) ((1.0-t)*(1.0-t)) #define N12(t) (2*t*(1.0-t)) #define N22(t) (t*t) // linear interpolation b-splines #define N01(t) ((1.0-t)) #define N11(t) (t) void Path::Simplify(double treshhold) { // There is nothing to fit if you have 0 to 1 points if (pts.size() <= 1) { return; } // clear all existing path descriptions Reset(); // each path (where a path is a MoveTo followed by one or more LineTo) is fitted on separately // Say you had M L L L L M L L L M L L L L // pattern -------- ------- --------- // path 1 path 2 path 3 // Each would be simplified individually. int lastM = 0; // index of the lastMove while (lastM < int(pts.size())) { int lastP = lastM + 1; // last point while (lastP < int(pts.size()) && (pts[lastP].isMoveTo == polyline_lineto || pts[lastP].isMoveTo == polyline_forced)) // if it's a LineTo or a forcedPoint we move forward { lastP++; } // we would only come out of the above while loop when pts[lastP] becomes a MoveTo or we // run out of points // M L L L L L // 0 1 2 3 4 5 6 <-- we came out from loop here // lastM = 0; lastP = 6; lastP - lastM = 6; // We pass the first point the algorithm should start at (lastM) and the total number of // points (lastP - lastM) DoSimplify(lastM, lastP - lastM, treshhold); lastM = lastP; } } #if 0 // dichomtomic method to get distance to curve approximation // a real polynomial solver would get the minimum more efficiently, but since the polynom // would likely be of degree >= 5, that would imply using some generic solver, liek using the sturm method static double RecDistanceToCubic(Geom::Point const &iS, Geom::Point const &isD, Geom::Point const &iE, Geom::Point const &ieD, Geom::Point &pt, double current, int lev, double st, double et) { if ( lev <= 0 ) { return current; } Geom::Point const m = 0.5 * (iS + iE) + 0.125 * (isD - ieD); Geom::Point const md = 0.75 * (iE - iS) - 0.125 * (isD + ieD); double const mt = (st + et) / 2; Geom::Point const hisD = 0.5 * isD; Geom::Point const hieD = 0.5 * ieD; Geom::Point const mp = pt - m; double nle = Geom::dot(mp, mp); if ( nle < current ) { current = nle; nle = RecDistanceToCubic(iS, hisD, m, md, pt, current, lev - 1, st, mt); if ( nle < current ) { current = nle; } nle = RecDistanceToCubic(m, md, iE, hieD, pt, current, lev - 1, mt, et); if ( nle < current ) { current = nle; } } else if ( nle < 2 * current ) { nle = RecDistanceToCubic(iS, hisD, m, md, pt, current, lev - 1, st, mt); if ( nle < current ) { current = nle; } nle = RecDistanceToCubic(m, md, iE, hieD, pt, current, lev - 1, mt, et); if ( nle < current ) { current = nle; } } return current; } #endif /** * Smallest distance from a point to a line. * * You might think this function calculates the distance from a CubicBezier to a point? Neh, it * doesn't do that. Firstly, this function doesn't care at all about a CubicBezier, as you can see * res.start and res.end are not even used in the function body. It calculates the shortest * possible distance to get from the point pt to the line from start to res.p. * There two possibilities so let me illustrate: * Case 1: * * o (pt) * | * | <------ returns this distance * | * o-------------------------o * start res.p * * Case 2: * * o (pt) * - * - * - <--- returns this distance * - * - * o-------------------------o * start res.p * if the line is defined by l(t) over 0 <= t <= 1, this distance between pt and any point on line * l(t) is defined as |l(t) - pt|. This function returns the minimum of this function over t. * * @param start The start point of the cubic Bezier. * @param res The cubic Bezier command which we really don't care about. We only use res.p. * @param pt The point to measure the distance from. * * @return See the comments above. */ static double DistanceToCubic(Geom::Point const &start, PathDescrCubicTo res, Geom::Point &pt) { Geom::Point const sp = pt - start; Geom::Point const ep = pt - res.p; double nle = Geom::dot(sp, sp); double nnle = Geom::dot(ep, ep); if ( nnle < nle ) { nle = nnle; } Geom::Point seg = res.p - start; nnle = Geom::cross(sp, seg); nnle *= nnle; nnle /= Geom::dot(seg, seg); if ( nnle < nle ) { if ( Geom::dot(sp,seg) >= 0 ) { seg = start - res.p; if ( Geom::dot(ep,seg) >= 0 ) { nle = nnle; } } } return nle; } /** * Simplification on a subpath. */ void Path::DoSimplify(int off, int N, double treshhold) { // non-dichotomic method: grow an interval of points approximated by a curve, until you reach the treshhold, and repeat // nothing to do with one/zero point(s). if (N <= 1) { return; } int curP = 0; fitting_tables data; data.Xk = data.Yk = data.Qk = nullptr; data.tk = data.lk = nullptr; data.fk = nullptr; data.totLen = 0; data.nbPt = data.maxPt = data.inPt = 0; // MoveTo to the first point Geom::Point const moveToPt = pts[off].p; MoveTo(moveToPt); // endToPt stores the last point of each cubic bezier patch (or line segment) that we add Geom::Point endToPt = moveToPt; // curP is a local index and we add the offset (off) in it to get the real // index. The loop has N - 1 instead of N because there is no point starting // the fitting process on the last point while (curP < N - 1) { // lastP becomes the lastPoint to fit on, basically, we wanna try fitting // on a sequence of points that start with curP and ends at lastP // We start with curP being 0 (the first point) and lastP being 1 (the second point) // M holds the total number of points we are trying to fix int lastP = curP + 1; int M = 2; // remettre a zero data.inPt = data.nbPt = 0; // a cubic bezier command that will be the patch fitted, which will be appended to the list // of path commands PathDescrCubicTo res(Geom::Point(0, 0), Geom::Point(0, 0), Geom::Point(0, 0)); // a flag to indicate if there is a forced point in the current sequence that // we are trying to fit bool contains_forced = false; // the fitting code here is called in a binary search fashion, you can say // that we have fixed the start point for our fitting sequence (curP) and // need the highest possible endpoint (lastP) (highest in index) such // that the threshold is respected. // To do this search, we add "step" number of points to the current sequence // and fit, if successful, we add "step" more points, if not, we go back to // the last sequence of points, divide step by 2 and try extending again, this // process repeats until step becomes 0. // One more point to mention is how forced points are handled. Once lastP is // at a forced point, threshold will not be happy with any point after lastP, thus, // step will slowly reduce to 0, ultimately finishing the patch at the forced point. int step = 64; while ( step > 0 ) { int forced_pt = -1; int worstP = -1; // this loop attempts to fit and if the threshold was fine with our fit, we // add "step" more points to the sequence that we are fitting on do { // if the point if forced, we set the flag, basically if there is a forced // point in the sequence (anywhere), this code will trigger at some point (I think) if (pts[off + lastP].isMoveTo == polyline_forced) { contains_forced = true; } forced_pt = lastP; // store the forced point (any regular point also gets stored :/) lastP += step; // move the end marker by + step M += step; // add "step" to number of points we are trying to fit // the loop breaks if we either ran out of boundaries or the threshold didn't like // the fit } while (lastP < N && ExtendFit(off + curP, M, data, (contains_forced) ? 0.05 * treshhold : treshhold, // <-- if the last point here is a forced one we res, worstP) ); // make the threshold really strict so it'll definitely complain about the fit thus // favoring us to stop and go back by "step" units // did we go out of boundaries? if (lastP >= N) { lastP -= step; // okay, come back by "step" units M -= step; } else { // the threshold complained // le dernier a echoue lastP -= step; // come back by "step" units M -= step; if ( contains_forced ) { lastP = forced_pt; // we ensure that we are back at "forced" point. M = lastP - curP + 1; } // fit stuff again (so we save the results in res); Threshold shouldn't complain // with this btw AttemptSimplify(off + curP, M, treshhold, res, worstP); // ca passe forcement } step /= 2; // divide step by 2 } // mark lastP as the end point of the sequence we are fitting on endToPt = pts[off + lastP].p; // add a patch, for two points a line else a cubic bezier, res has already been calculated // by AttemptSimplify if (M <= 2) { LineTo(endToPt); } else { CubicTo(endToPt, res.start, res.end); } // next patch starts where this one ended curP = lastP; } // if the last point that we added is very very close to the first one, it's a loop so close // it. if (Geom::LInfty(endToPt - moveToPt) < 0.00001) { Close(); } g_free(data.Xk); g_free(data.Yk); g_free(data.Qk); g_free(data.tk); g_free(data.lk); g_free(data.fk); } // warning: slow // idea behind this feature: splotches appear when trying to fit a small number of points: you can // get a cubic bezier that fits the points very well but doesn't fit the polyline itself // so we add a bit of the error at the middle of each segment of the polyline // also we restrict this to <=20 points, to avoid unnecessary computations #define with_splotch_killer // primitive= calc the cubic bezier patche that fits Xk and Yk best // Qk est deja alloue // retourne false si probleme (matrice non-inversible) bool Path::FitCubic(Geom::Point const &start, PathDescrCubicTo &res, double *Xk, double *Yk, double *Qk, double *tk, int nbPt) { Geom::Point const end = res.p; // la matrice tNN Geom::Affine M(0, 0, 0, 0, 0, 0); for (int i = 1; i < nbPt - 1; i++) { M[0] += N13(tk[i]) * N13(tk[i]); M[1] += N23(tk[i]) * N13(tk[i]); M[2] += N13(tk[i]) * N23(tk[i]); M[3] += N23(tk[i]) * N23(tk[i]); } double const det = M.det(); if (fabs(det) < 0.000001) { res.start[0]=res.start[1]=0.0; res.end[0]=res.end[1]=0.0; return false; } Geom::Affine const iM = M.inverse(); M = iM; // phase 1: abcisses // calcul des Qk Xk[0] = start[0]; Yk[0] = start[1]; Xk[nbPt - 1] = end[0]; Yk[nbPt - 1] = end[1]; for (int i = 1; i < nbPt - 1; i++) { Qk[i] = Xk[i] - N03 (tk[i]) * Xk[0] - N33 (tk[i]) * Xk[nbPt - 1]; } // le vecteur Q Geom::Point Q(0, 0); for (int i = 1; i < nbPt - 1; i++) { Q[0] += N13 (tk[i]) * Qk[i]; Q[1] += N23 (tk[i]) * Qk[i]; } Geom::Point P = Q * M; Geom::Point cp1; Geom::Point cp2; cp1[Geom::X] = P[Geom::X]; cp2[Geom::X] = P[Geom::Y]; // phase 2: les ordonnees for (int i = 1; i < nbPt - 1; i++) { Qk[i] = Yk[i] - N03 (tk[i]) * Yk[0] - N33 (tk[i]) * Yk[nbPt - 1]; } // le vecteur Q Q = Geom::Point(0, 0); for (int i = 1; i < nbPt - 1; i++) { Q[0] += N13 (tk[i]) * Qk[i]; Q[1] += N23 (tk[i]) * Qk[i]; } P = Q * M; cp1[Geom::Y] = P[Geom::X]; cp2[Geom::Y] = P[Geom::Y]; res.start = 3.0 * (cp1 - start); res.end = 3.0 * (end - cp2 ); return true; } bool Path::ExtendFit(int off, int N, fitting_tables &data, double treshhold, PathDescrCubicTo &res, int &worstP) { // if N is greater or equal to data.maxPt, reallocate total of 2*N+1 and copy existing data to // those arrays if ( N >= data.maxPt ) { data.maxPt = 2 * N + 1; data.Xk = (double *) g_realloc(data.Xk, data.maxPt * sizeof(double)); data.Yk = (double *) g_realloc(data.Yk, data.maxPt * sizeof(double)); data.Qk = (double *) g_realloc(data.Qk, data.maxPt * sizeof(double)); data.tk = (double *) g_realloc(data.tk, data.maxPt * sizeof(double)); data.lk = (double *) g_realloc(data.lk, data.maxPt * sizeof(double)); data.fk = (char *) g_realloc(data.fk, data.maxPt * sizeof(char)); } // is N greater than data.inPt? data.inPt seems to hold the total number of points stored in X, // Y, fk of data and thus, we add those that are not there but now should be. if ( N > data.inPt ) { for (int i = data.inPt; i < N; i++) { data.Xk[i] = pts[off + i].p[Geom::X]; data.Yk[i] = pts[off + i].p[Geom::Y]; data.fk[i] = ( pts[off + i].isMoveTo == polyline_forced ) ? 0x01 : 0x00; } data.lk[0] = 0; data.tk[0] = 0; // calculate the total length of the points that already existed in data double prevLen = 0; for (int i = 0; i < data.inPt; i++) { prevLen += data.lk[i]; } data.totLen = prevLen; // calculate the lengths data.lk for the new points that we just added for (int i = ( (data.inPt > 0) ? data.inPt : 1); i < N; i++) { Geom::Point diff; diff[Geom::X] = data.Xk[i] - data.Xk[i - 1]; diff[Geom::Y] = data.Yk[i] - data.Yk[i - 1]; data.lk[i] = Geom::L2(diff); data.totLen += data.lk[i]; data.tk[i] = data.totLen; // set tk[i] to the length so far... } // for the points that existed already, multiply by their previous total length to convert // the time values into the actual "length so far". for (int i = 0; i < data.inPt; i++) { data.tk[i] *= prevLen; data.tk[i] /= data.totLen; // divide by the new total length to get the newer t value } for (int i = data.inPt; i < N; i++) { // now divide for the newer ones too data.tk[i] /= data.totLen; } data.inPt = N; // update inPt to include the new points too now } // this block is for the situation where you just did a fitting on say 0 to 20 points and now // you are doing one on 0 to 15 points. N was previously 20 and now it's 15. While your lk // values are still fine, your tk values are messed up since the tk is 1 at point 20 when // it should be 1 at point 15 now. So we recalculate tk values. if ( N < data.nbPt ) { // We've gone too far; we'll have to recalulate the .tk. data.totLen = 0; data.tk[0] = 0; data.lk[0] = 0; for (int i = 1; i < N; i++) { data.totLen += data.lk[i]; data.tk[i] = data.totLen; } for (int i = 1; i < N; i++) { data.tk[i] /= data.totLen; } } data.nbPt = N; /* * There is something that I think is wrong with this implementation. Say we initially fit on * point 0 to 10, it works well, so we add 10 more points and fit on 0-20 points. Out tk values * are correct so far. That fit is problematic so maybe we fit on 0-15 but now, N < data.nbPt * block will run and recalculate tk values. So we will have correct tk values from 0-15 but * the older tk values in 15-20. Say after this we fit on 0-18 points. Well we ran into a * problem N > data.nbPt so no recalculation happens. data.inPt is already 20 so nothing * happens in that block either. We have invalid tk values and FitCubic will be called with * these invalid values. I've drawn paths and seen this situation where FitCubic was called * with wrong tk values. Values that would go 0, 0.25, 0.5, 0.75, 1, 0.80, 0.90. Maybe the * consequences are not that terrible so we didn't notice this in results? * TODO: Do we fix this or investigate more? */ if ( data.nbPt <= 0 ) { return false; } res.p[0] = data.Xk[data.nbPt - 1]; res.p[1] = data.Yk[data.nbPt - 1]; res.start[0] = res.start[1] = 0; res.end[0] = res.end[1] = 0; worstP = 1; if ( N <= 2 ) { return true; } // this is the same popular block that's found in the other AttemptSimplify so please go there // to see what it does and how if ( data.totLen < 0.0001 ) { double worstD = 0; Geom::Point start; worstP = -1; start[0] = data.Xk[0]; start[1] = data.Yk[0]; for (int i = 1; i < N; i++) { Geom::Point nPt; bool isForced = data.fk[i]; nPt[0] = data.Xk[i]; nPt[1] = data.Yk[i]; double nle = DistanceToCubic(start, res, nPt); if ( isForced ) { // forced points are favored for splitting the recursion; we do this by increasing their distance if ( worstP < 0 || 2*nle > worstD ) { worstP = i; worstD = 2*nle; } } else { if ( worstP < 0 || nle > worstD ) { worstP = i; worstD = nle; } } } return true; // it's weird that this is the only block of this kind that returns true instead of false. Livarot // can you please be more consistent? -_- } return AttemptSimplify(data, treshhold, res, worstP); } // fit a polyline to a bezier patch, return true is treshhold not exceeded (ie: you can continue) // version that uses tables from the previous iteration, to minimize amount of work done bool Path::AttemptSimplify (fitting_tables &data,double treshhold, PathDescrCubicTo & res,int &worstP) { Geom::Point start,end; // pour une coordonnee Geom::Point cp1, cp2; worstP = 1; if (pts.size() == 2) { return true; } start[0] = data.Xk[0]; start[1] = data.Yk[0]; cp1[0] = data.Xk[1]; cp1[1] = data.Yk[1]; end[0] = data.Xk[data.nbPt - 1]; end[1] = data.Yk[data.nbPt - 1]; cp2 = cp1; if (pts.size() == 3) { // start -> cp1 -> end res.start = cp1 - start; res.end = end - cp1; worstP = 1; return true; } if ( FitCubic(start, res, data.Xk, data.Yk, data.Qk, data.tk, data.nbPt) ) { cp1 = start + res.start / 3; cp2 = end - res.end / 3; } else { // aie, non-inversible double worstD = 0; worstP = -1; for (int i = 1; i < data.nbPt; i++) { Geom::Point nPt; nPt[Geom::X] = data.Xk[i]; nPt[Geom::Y] = data.Yk[i]; double nle = DistanceToCubic(start, res, nPt); if ( data.fk[i] ) { // forced points are favored for splitting the recursion; we do this by increasing their distance if ( worstP < 0 || 2 * nle > worstD ) { worstP = i; worstD = 2 * nle; } } else { if ( worstP < 0 || nle > worstD ) { worstP = i; worstD = nle; } } } return false; } // calcul du delta= pondere par les longueurs des segments double delta = 0; { double worstD = 0; worstP = -1; Geom::Point prevAppP; Geom::Point prevP; double prevDist; prevP[Geom::X] = data.Xk[0]; prevP[Geom::Y] = data.Yk[0]; prevAppP = prevP; // le premier seulement prevDist = 0; #ifdef with_splotch_killer if ( data.nbPt <= 20 ) { for (int i = 1; i < data.nbPt - 1; i++) { Geom::Point curAppP; Geom::Point curP; double curDist; Geom::Point midAppP; Geom::Point midP; double midDist; curAppP[Geom::X] = N13(data.tk[i]) * cp1[Geom::X] + N23(data.tk[i]) * cp2[Geom::X] + N03(data.tk[i]) * data.Xk[0] + N33(data.tk[i]) * data.Xk[data.nbPt - 1]; curAppP[Geom::Y] = N13(data.tk[i]) * cp1[Geom::Y] + N23(data.tk[i]) * cp2[Geom::Y] + N03(data.tk[i]) * data.Yk[0] + N33(data.tk[i]) * data.Yk[data.nbPt - 1]; curP[Geom::X] = data.Xk[i]; curP[Geom::Y] = data.Yk[i]; double mtk = 0.5 * (data.tk[i] + data.tk[i - 1]); midAppP[Geom::X] = N13(mtk) * cp1[Geom::X] + N23(mtk) * cp2[Geom::X] + N03(mtk) * data.Xk[0] + N33(mtk) * data.Xk[data.nbPt - 1]; midAppP[Geom::Y] = N13(mtk) * cp1[Geom::Y] + N23(mtk) * cp2[Geom::Y] + N03(mtk) * data.Yk[0] + N33(mtk) * data.Yk[data.nbPt - 1]; midP = 0.5 * (curP + prevP); Geom::Point diff = curAppP - curP; curDist = dot(diff, diff); diff = midAppP - midP; midDist = dot(diff, diff); delta += 0.3333 * (curDist + prevDist + midDist) * data.lk[i]; if ( curDist > worstD ) { worstD = curDist; worstP = i; } else if ( data.fk[i] && 2 * curDist > worstD ) { worstD = 2*curDist; worstP = i; } prevP = curP; prevAppP = curAppP; prevDist = curDist; } delta /= data.totLen; } else { #endif for (int i = 1; i < data.nbPt - 1; i++) { Geom::Point curAppP; Geom::Point curP; double curDist; curAppP[Geom::X] = N13(data.tk[i]) * cp1[Geom::X] + N23(data.tk[i]) * cp2[Geom::X] + N03(data.tk[i]) * data.Xk[0] + N33(data.tk[i]) * data.Xk[data.nbPt - 1]; curAppP[Geom::Y] = N13(data.tk[i]) * cp1[Geom::Y] + N23(data.tk[i]) * cp2[Geom::Y] + N03(data.tk[i]) * data.Yk[0] + N33(data.tk[i]) * data.Yk[data.nbPt - 1]; curP[Geom::X] = data.Xk[i]; curP[Geom::Y] = data.Yk[i]; Geom::Point diff = curAppP-curP; curDist = dot(diff, diff); delta += curDist; if ( curDist > worstD ) { worstD = curDist; worstP = i; } else if ( data.fk[i] && 2 * curDist > worstD ) { worstD = 2*curDist; worstP = i; } prevP = curP; prevAppP = curAppP; prevDist = curDist; } #ifdef with_splotch_killer } #endif } if (delta < treshhold * treshhold) { // premier jet // Refine a little. for (int i = 1; i < data.nbPt - 1; i++) { Geom::Point pt(data.Xk[i], data.Yk[i]); data.tk[i] = RaffineTk(pt, start, cp1, cp2, end, data.tk[i]); if (data.tk[i] < data.tk[i - 1]) { // Force tk to be monotonic non-decreasing. data.tk[i] = data.tk[i - 1]; } } if ( FitCubic(start, res, data.Xk, data.Yk, data.Qk, data.tk, data.nbPt) == false) { // ca devrait jamais arriver, mais bon res.start = 3.0 * (cp1 - start); res.end = 3.0 * (end - cp2 ); return true; } double ndelta = 0; { double worstD = 0; worstP = -1; Geom::Point prevAppP; Geom::Point prevP(data.Xk[0], data.Yk[0]); double prevDist = 0; prevAppP = prevP; // le premier seulement #ifdef with_splotch_killer if ( data.nbPt <= 20 ) { for (int i = 1; i < data.nbPt - 1; i++) { Geom::Point curAppP; Geom::Point curP; double curDist; Geom::Point midAppP; Geom::Point midP; double midDist; curAppP[Geom::X] = N13(data.tk[i]) * cp1[Geom::X] + N23(data.tk[i]) * cp2[Geom::X] + N03(data.tk[i]) * data.Xk[0] + N33(data.tk[i]) * data.Xk[data.nbPt - 1]; curAppP[Geom::Y] = N13(data.tk[i]) * cp1[Geom::Y] + N23(data.tk[i]) * cp2[Geom::Y] + N03(data.tk[i]) * data.Yk[0] + N33(data.tk[i]) * data.Yk[data.nbPt - 1]; curP[Geom::X] = data.Xk[i]; curP[Geom::Y] = data.Yk[i]; double mtk = 0.5 * (data.tk[i] + data.tk[i - 1]); midAppP[Geom::X] = N13(mtk) * cp1[Geom::X] + N23(mtk) * cp2[Geom::X] + N03(mtk) * data.Xk[0] + N33(mtk) * data.Xk[data.nbPt - 1]; midAppP[Geom::Y] = N13(mtk) * cp1[Geom::Y] + N23(mtk) * cp2[Geom::Y] + N03(mtk) * data.Yk[0] + N33(mtk) * data.Yk[data.nbPt - 1]; midP = 0.5 * (curP + prevP); Geom::Point diff = curAppP - curP; curDist = dot(diff, diff); diff = midAppP - midP; midDist = dot(diff, diff); ndelta += 0.3333 * (curDist + prevDist + midDist) * data.lk[i]; if ( curDist > worstD ) { worstD = curDist; worstP = i; } else if ( data.fk[i] && 2 * curDist > worstD ) { worstD = 2*curDist; worstP = i; } prevP = curP; prevAppP = curAppP; prevDist = curDist; } ndelta /= data.totLen; } else { #endif for (int i = 1; i < data.nbPt - 1; i++) { Geom::Point curAppP; Geom::Point curP; double curDist; curAppP[Geom::X] = N13(data.tk[i]) * cp1[Geom::X] + N23(data.tk[i]) * cp2[Geom::X] + N03(data.tk[i]) * data.Xk[0] + N33(data.tk[i]) * data.Xk[data.nbPt - 1]; curAppP[Geom::Y] = N13(data.tk[i]) * cp1[Geom::Y] + N23(data.tk[i]) * cp2[1] + N03(data.tk[i]) * data.Yk[0] + N33(data.tk[i]) * data.Yk[data.nbPt - 1]; curP[Geom::X] = data.Xk[i]; curP[Geom::Y] = data.Yk[i]; Geom::Point diff = curAppP - curP; curDist = dot(diff, diff); ndelta += curDist; if ( curDist > worstD ) { worstD = curDist; worstP = i; } else if ( data.fk[i] && 2 * curDist > worstD ) { worstD = 2 * curDist; worstP = i; } prevP = curP; prevAppP = curAppP; prevDist = curDist; } #ifdef with_splotch_killer } #endif } if (ndelta < delta + 0.00001) { return true; } else { // nothing better to do res.start = 3.0 * (cp1 - start); res.end = 3.0 * (end - cp2 ); } return true; } return false; } bool Path::AttemptSimplify(int off, int N, double treshhold, PathDescrCubicTo &res,int &worstP) { Geom::Point start; Geom::Point end; // pour une coordonnee double *Xk; // la coordonnee traitee (x puis y) double *Yk; // la coordonnee traitee (x puis y) double *lk; // les longueurs de chaque segment double *tk; // les tk double *Qk; // les Qk char *fk; // si point force Geom::Point cp1; // first control point of the cubic patch Geom::Point cp2; // second control point of the cubic patch // If only two points, return immediately, but why say that point 1 has worst error though? if (N == 2) { worstP = 1; return true; } start = pts[off].p; // point at index "off" is start cp1 = pts[off + 1].p; // for now take the first control point to be the point after "off" end = pts[off + N - 1].p; // last point would be end of the patch of course // we will return the control handles in "res" right? so set the end point but set the handles // to zero for now res.p = end; res.start[0] = res.start[1] = 0; res.end[0] = res.end[1] = 0; // if there are 3 points only, we fit a cubic patch that starts at the first point, ends at the // third point and has both control points on the 2nd point if (N == 3) { // start -> cp1 -> end res.start = cp1 - start; res.end = end - cp1; worstP = 1; return true; } // Totally inefficient, allocates & deallocates all the time. // allocate arrows for fitting information tk = (double *) g_malloc(N * sizeof(double)); Qk = (double *) g_malloc(N * sizeof(double)); Xk = (double *) g_malloc(N * sizeof(double)); Yk = (double *) g_malloc(N * sizeof(double)); lk = (double *) g_malloc(N * sizeof(double)); fk = (char *) g_malloc(N * sizeof(char)); // chord length method tk[0] = 0.0; lk[0] = 0.0; { // Not setting Xk[0], Yk[0] might look like a bug, but FitCubic sets it later before // it performs the fit Geom::Point prevP = start; // store the first point for (int i = 1; i < N; i++) { // start the loop on the second point Xk[i] = pts[off + i].p[Geom::X]; // store the x coordinate Yk[i] = pts[off + i].p[Geom::Y]; // store the y coordinate // mark the point as forced if it's forced if ( pts[off + i].isMoveTo == polyline_forced ) { fk[i] = 0x01; } else { fk[i] = 0; } // calculate a vector from previous point to this point and store its length in lk Geom::Point diff(Xk[i] - prevP[Geom::X], Yk[i] - prevP[1]); prevP[0] = Xk[i]; // set prev to current point for next iteration prevP[1] = Yk[i]; // set prev to current point for next iteration lk[i] = Geom::L2(diff); tk[i] = tk[i - 1] + lk[i]; // tk should have the length till this point, later we divide whole thing by total length to calculate time } } // if total length is below 0.00001 (very unrealistic scenario) if (tk[N - 1] < 0.00001) { // longueur nulle res.start[0] = res.start[1] = 0; // set start handle to zero res.end[0] = res.end[1] = 0; // set end handle to zero double worstD = 0; // worst distance b/w the curve and the polyline (to fit) worstP = -1; // point at which worst difference came up for (int i = 1; i < N; i++) { // start at second point till the last one Geom::Point nPt; bool isForced = fk[i]; nPt[0] = Xk[i]; // get the point nPt[1] = Yk[i]; double nle = DistanceToCubic(start, res, nPt); // distance from point. see the documentation on that function if ( isForced ) { // forced points are favored for splitting the recursion; we do this by increasing their distance if ( worstP < 0 || 2 * nle > worstD ) { // exaggerating distance for the forced point? worstP = i; worstD = 2 * nle; } } else { if ( worstP < 0 || nle > worstD ) { // if worstP not set or the distance for this point is greater than previous worse worstP = i; // make this one the worse worstD = nle; } } } g_free(tk); g_free(Qk); g_free(Xk); g_free(Yk); g_free(fk); g_free(lk); return false; // not sure why we return false? because the length of points to fit is zero? // anyways, rare case, so fine to return false and a cubic bezier that starts // at first and ends at last point with control points being same as // endpoins. } // divide by total length to make "time" values. See documentation of fitting_table structure double totLen = tk[N - 1]; for (int i = 1; i < N - 1; i++) { tk[i] /= totLen; } res.p = end; if ( FitCubic(start, res, Xk, Yk, Qk, tk, N) ) { // fit a cubic, if goes well, set cp1 and cp2 cp1 = start + res.start / 3; // this factor of three comes from the fact that this is how livarot stores them. See docs in path-description.h cp2 = end + res.end / 3; } else { // aie, non-inversible // okay we couldn't fit one, don't know when this would happen but probably due to matrix // being non-inversible (no idea when that would happen either) // same code from above, calculates error (kinda, see comments on DistanceToCubic) and returns false res.start[0] = res.start[1] = 0; res.end[0] = res.end[1] = 0; double worstD = 0; worstP = -1; for (int i = 1; i < N; i++) { Geom::Point nPt(Xk[i], Yk[i]); bool isForced = fk[i]; double nle = DistanceToCubic(start, res, nPt); if ( isForced ) { // forced points are favored for splitting the recursion; we do this by increasing their distance if ( worstP < 0 || 2 * nle > worstD ) { worstP = i; worstD = 2 * nle; } } else { if ( worstP < 0 || nle > worstD ) { worstP = i; worstD = nle; } } } g_free(tk); g_free(Qk); g_free(Xk); g_free(Yk); g_free(fk); g_free(lk); return false; } // calcul du delta= pondere par les longueurs des segments // if we are here, fitting went well, let's calculate error between the cubic bezier that we // fit and the actual polyline double delta = 0; { double worstD = 0; worstP = -1; Geom::Point prevAppP; Geom::Point prevP; double prevDist; prevP[0] = Xk[0]; prevP[1] = Yk[0]; prevAppP = prevP; // le premier seulement prevDist = 0; #ifdef with_splotch_killer // <-- ignore the splotch killer if you're new and go to the part where this (N <= 20) if's else is // so the thing is, if the number of points you're fitting on are few, you can often have a // fit where the error on your polyline points are zero but it's a terrible fit, for // example imagine three point o------o-------o and an S fitting on these. Error is zero, // but it's a terrible fit. So to fix this problem, we calculate error at mid points of the // line segments too, to be a better judge, and if it's terrible, we just reject this fit // and the parent algorithm will do something about it (fit a smaller one or just do a line // segment) if ( N <= 20 ) { for (int i = 1; i < N - 1; i++) // for every point that's not an endpoint { Geom::Point curAppP; Geom::Point curP; double curDist; Geom::Point midAppP; Geom::Point midP; double midDist; curAppP[0] = N13 (tk[i]) * cp1[0] + N23 (tk[i]) * cp2[0] + N03 (tk[i]) * Xk[0] + N33 (tk[i]) * Xk[N - 1]; // point on the curve curAppP[1] = N13 (tk[i]) * cp1[1] + N23 (tk[i]) * cp2[1] + N03 (tk[i]) * Yk[0] + N33 (tk[i]) * Yk[N - 1]; curP[0] = Xk[i]; // polyline point curP[1] = Yk[i]; midAppP[0] = N13 (0.5*(tk[i]+tk[i-1])) * cp1[0] + N23 (0.5*(tk[i]+tk[i-1])) * cp2[0] + N03 (0.5*(tk[i]+tk[i-1])) * Xk[0] + N33 (0.5*(tk[i]+tk[i-1])) * Xk[N - 1]; // midpoint on the curve midAppP[1] = N13 (0.5*(tk[i]+tk[i-1])) * cp1[1] + N23 (0.5*(tk[i]+tk[i-1])) * cp2[1] + N03 (0.5*(tk[i]+tk[i-1])) * Yk[0] + N33 (0.5*(tk[i]+tk[i-1])) * Yk[N - 1]; midP=0.5*(curP+prevP); // midpoint on the polyline Geom::Point diff; diff = curAppP-curP; curDist = dot(diff,diff); // squared distance between point on cubic curve and the polyline point diff = midAppP-midP; midDist = dot(diff,diff); // squared distance between midpoint on polyline and the equivalent on cubic curve delta+=0.3333*(curDist+prevDist+midDist)/**lk[i]*/; // The multiplication by lk[i] here kind of creates a weightage mechanism // we divide delta by total length afterwards, so line segments with more share in // the length get weighted more. Why do we care about prevDist though? Anyways, // it's a way of measuring error, so probably fine if ( curDist > worstD ) { // worst error management worstD = curDist; worstP = i; } else if ( fk[i] && 2*curDist > worstD ) { worstD = 2*curDist; worstP = i; } prevP = curP; prevAppP = curAppP; // <-- useless prevDist = curDist; } delta/=totLen; } else { #endif for (int i = 1; i < N - 1; i++) // for each point in the polyline that's not an end point { Geom::Point curAppP; // the current point on the bezier patch Geom::Point curP; // the polyline point double curDist; // https://en.wikipedia.org/wiki/B%C3%A9zier_curve curAppP[0] = N13 (tk[i]) * cp1[0] + N23 (tk[i]) * cp2[0] + N03 (tk[i]) * Xk[0] + N33 (tk[i]) * Xk[N - 1]; // <-- cubic bezier function curAppP[1] = N13 (tk[i]) * cp1[1] + N23 (tk[i]) * cp2[1] + N03 (tk[i]) * Yk[0] + N33 (tk[i]) * Yk[N - 1]; curP[0] = Xk[i]; curP[1] = Yk[i]; Geom::Point diff; diff = curAppP-curP; // difference between the two curDist = dot(diff,diff); // square of the difference delta += curDist; // add to total error if ( curDist > worstD ) { // management of worst error (max finder basically) worstD = curDist; worstP = i; } else if ( fk[i] && 2*curDist > worstD ) { // it wasn't the worse, but if it's forced point, judge more harshly worstD = 2*curDist; worstP = i; } prevP = curP; prevAppP = curAppP; // <-- we are not using these prevDist = curDist; // <-- we are not using these } #ifdef with_splotch_killer } #endif } // are we fine with the error? Compare it to threshold squared if (delta < treshhold * treshhold) { // premier jet res.start = 3.0 * (cp1 - start); // calculate handles res.end = -3.0 * (cp2 - end); res.p = end; // Refine a little. for (int i = 1; i < N - 1; i++) // do Newton Raphson iterations { Geom::Point pt; pt[0] = Xk[i]; pt[1] = Yk[i]; tk[i] = RaffineTk (pt, start, cp1, cp2, end, tk[i]); if (tk[i] < tk[i - 1]) { // Force tk to be monotonic non-decreasing. tk[i] = tk[i - 1]; } } if ( FitCubic(start,res,Xk,Yk,Qk,tk,N) ) { // fit again and this should work } else { // just in case it doesn't // ca devrait jamais arriver, mais bon res.start = 3.0 * (cp1 - start); res.end = -3.0 * (cp2 - end); g_free(tk); g_free(Qk); g_free(Xk); g_free(Yk); g_free(fk); g_free(lk); return true; } double ndelta = 0; // the same error computing stuff with and without splotch killer as before { double worstD = 0; worstP = -1; Geom::Point prevAppP; Geom::Point prevP; double prevDist; prevP[0] = Xk[0]; prevP[1] = Yk[0]; prevAppP = prevP; // le premier seulement prevDist = 0; #ifdef with_splotch_killer if ( N <= 20 ) { for (int i = 1; i < N - 1; i++) { Geom::Point curAppP; Geom::Point curP; double curDist; Geom::Point midAppP; Geom::Point midP; double midDist; curAppP[0] = N13 (tk[i]) * cp1[0] + N23 (tk[i]) * cp2[0] + N03 (tk[i]) * Xk[0] + N33 (tk[i]) * Xk[N - 1]; curAppP[1] = N13 (tk[i]) * cp1[1] + N23 (tk[i]) * cp2[1] + N03 (tk[i]) * Yk[0] + N33 (tk[i]) * Yk[N - 1]; curP[0] = Xk[i]; curP[1] = Yk[i]; midAppP[0] = N13 (0.5*(tk[i]+tk[i-1])) * cp1[0] + N23 (0.5*(tk[i]+tk[i-1])) * cp2[0] + N03 (0.5*(tk[i]+tk[i-1])) * Xk[0] + N33 (0.5*(tk[i]+tk[i-1])) * Xk[N - 1]; midAppP[1] = N13 (0.5*(tk[i]+tk[i-1])) * cp1[1] + N23 (0.5*(tk[i]+tk[i-1])) * cp2[1] + N03 (0.5*(tk[i]+tk[i-1])) * Yk[0] + N33 (0.5*(tk[i]+tk[i-1])) * Yk[N - 1]; midP = 0.5*(curP+prevP); Geom::Point diff; diff = curAppP-curP; curDist = dot(diff,diff); diff = midAppP-midP; midDist = dot(diff,diff); ndelta+=0.3333*(curDist+prevDist+midDist)/**lk[i]*/; if ( curDist > worstD ) { worstD = curDist; worstP = i; } else if ( fk[i] && 2*curDist > worstD ) { worstD = 2*curDist; worstP = i; } prevP = curP; prevAppP = curAppP; prevDist = curDist; } ndelta /= totLen; } else { #endif for (int i = 1; i < N - 1; i++) { Geom::Point curAppP; Geom::Point curP; double curDist; curAppP[0] = N13 (tk[i]) * cp1[0] + N23 (tk[i]) * cp2[0] + N03 (tk[i]) * Xk[0] + N33 (tk[i]) * Xk[N - 1]; curAppP[1] = N13 (tk[i]) * cp1[1] + N23 (tk[i]) * cp2[1] + N03 (tk[i]) * Yk[0] + N33 (tk[i]) * Yk[N - 1]; curP[0]=Xk[i]; curP[1]=Yk[i]; Geom::Point diff; diff=curAppP-curP; curDist=dot(diff,diff); ndelta+=curDist; if ( curDist > worstD ) { worstD=curDist; worstP=i; } else if ( fk[i] && 2*curDist > worstD ) { worstD=2*curDist; worstP=i; } prevP=curP; prevAppP=curAppP; prevDist=curDist; } #ifdef with_splotch_killer } #endif } g_free(tk); g_free(Qk); g_free(Xk); g_free(Yk); g_free(fk); g_free(lk); if (ndelta < delta + 0.00001) // is the new one after newton raphson better? they are stored in "res" { return true; // okay great return those handles. } else { // nothing better to do res.start = 3.0 * (cp1 - start); // new ones aren't better? use the old ones stored in cp1 and cp2 res.end = -3.0 * (cp2 - end); } return true; } else { // threshold got disrespected, return false // nothing better to do } g_free(tk); g_free(Qk); g_free(Xk); g_free(Yk); g_free(fk); g_free(lk); return false; } double Path::RaffineTk (Geom::Point pt, Geom::Point p0, Geom::Point p1, Geom::Point p2, Geom::Point p3, double it) { // Refinement of the tk values. // Just one iteration of Newtow Raphson, given that we're approaching the curve anyway. // [fr: vu que de toute facon la courbe est approchC)e] double const Ax = pt[Geom::X] - p0[Geom::X] * N03(it) - p1[Geom::X] * N13(it) - p2[Geom::X] * N23(it) - p3[Geom::X] * N33(it); double const Bx = (p1[Geom::X] - p0[Geom::X]) * N02(it) + (p2[Geom::X] - p1[Geom::X]) * N12(it) + (p3[Geom::X] - p2[Geom::X]) * N22(it); double const Cx = (p0[Geom::X] - 2 * p1[Geom::X] + p2[Geom::X]) * N01(it) + (p3[Geom::X] - 2 * p2[Geom::X] + p1[Geom::X]) * N11(it); double const Ay = pt[Geom::Y] - p0[Geom::Y] * N03(it) - p1[Geom::Y] * N13(it) - p2[Geom::Y] * N23(it) - p3[Geom::Y] * N33(it); double const By = (p1[Geom::Y] - p0[Geom::Y]) * N02(it) + (p2[Geom::Y] - p1[Geom::Y]) * N12(it) + (p3[Geom::Y] - p2[Geom::Y]) * N22(it); double const Cy = (p0[Geom::Y] - 2 * p1[Geom::Y] + p2[Geom::Y]) * N01(it) + (p3[Geom::Y] - 2 * p2[Geom::Y] + p1[Geom::Y]) * N11(it); double const dF = -6 * (Ax * Bx + Ay * By); double const ddF = 18 * (Bx * Bx + By * By) - 12 * (Ax * Cx + Ay * Cy); if (fabs (ddF) > 0.0000001) { return it - dF / ddF; } return it; } // Variation on the fitting theme: try to merge path commands into cubic bezier patches. // The goal is to reduce the number of path commands, especially when operations on path produce // lots of small path elements; ideally you could get rid of very small segments at reduced visual cost. void Path::Coalesce(double tresh) { if ( descr_flags & descr_adding_bezier ) { CancelBezier(); } if ( descr_flags & descr_doing_subpath ) { CloseSubpath(); } if (descr_cmd.size() <= 2) { return; } SetBackData(false); Path* tempDest = new Path(); tempDest->SetBackData(false); ConvertEvenLines(0.25*tresh); int lastP = 0; int lastAP = -1; // As the elements are stored in a separate array, it's no longer worth optimizing // the rewriting in the same array. // [[comme les elements sont stockes dans un tableau a part, plus la peine d'optimiser // la réécriture dans la meme tableau]] int lastA = descr_cmd[0]->associated; int prevA = lastA; Geom::Point firstP; /* FIXME: the use of this variable probably causes a leak or two. ** It's a hack anyway, and probably only needs to be a type rather than ** a full PathDescr. */ std::unique_ptr lastAddition(new PathDescrMoveTo(Geom::Point(0, 0))); bool containsForced = false; PathDescrCubicTo pending_cubic(Geom::Point(0, 0), Geom::Point(0, 0), Geom::Point(0, 0)); for (int curP = 0; curP < int(descr_cmd.size()); curP++) { int typ = descr_cmd[curP]->getType(); int nextA = lastA; if (typ == descr_moveto) { if (lastAddition->flags != descr_moveto) { FlushPendingAddition(tempDest,lastAddition.get(),pending_cubic,lastAP); } lastAddition.reset(descr_cmd[curP]->clone()); lastAP = curP; FlushPendingAddition(tempDest, lastAddition.get(), pending_cubic, lastAP); // Added automatically (too bad about multiple moveto's). // [fr: (tant pis pour les moveto multiples)] containsForced = false; PathDescrMoveTo *nData = dynamic_cast(descr_cmd[curP]); firstP = nData->p; lastA = descr_cmd[curP]->associated; prevA = lastA; lastP = curP; } else if (typ == descr_close) { nextA = descr_cmd[curP]->associated; if (lastAddition->flags != descr_moveto) { PathDescrCubicTo res(Geom::Point(0, 0), Geom::Point(0, 0), Geom::Point(0, 0)); int worstP = -1; if (AttemptSimplify(lastA, nextA - lastA + 1, (containsForced) ? 0.05 * tresh : tresh, res, worstP)) { lastAddition.reset(new PathDescrCubicTo(Geom::Point(0, 0), Geom::Point(0, 0), Geom::Point(0, 0))); pending_cubic = res; lastAP = -1; } FlushPendingAddition(tempDest, lastAddition.get(), pending_cubic, lastAP); FlushPendingAddition(tempDest, descr_cmd[curP], pending_cubic, curP); } else { FlushPendingAddition(tempDest,descr_cmd[curP],pending_cubic,curP); } containsForced = false; lastAddition.reset(new PathDescrMoveTo(Geom::Point(0, 0))); prevA = lastA = nextA; lastP = curP; lastAP = curP; } else if (typ == descr_forced) { nextA = descr_cmd[curP]->associated; if (lastAddition->flags != descr_moveto) { PathDescrCubicTo res(Geom::Point(0, 0), Geom::Point(0, 0), Geom::Point(0, 0)); int worstP = -1; if (AttemptSimplify(lastA, nextA - lastA + 1, 0.05 * tresh, res, worstP)) { // plus sensible parce que point force // ca passe /* (Possible translation: More sensitive because contains a forced point.) */ containsForced = true; } else { // Force the addition. FlushPendingAddition(tempDest, lastAddition.get(), pending_cubic, lastAP); lastAddition.reset(new PathDescrMoveTo(Geom::Point(0, 0))); prevA = lastA = nextA; lastP = curP; lastAP = curP; containsForced = false; } } } else if (typ == descr_lineto || typ == descr_cubicto || typ == descr_arcto) { nextA = descr_cmd[curP]->associated; if (lastAddition->flags != descr_moveto) { PathDescrCubicTo res(Geom::Point(0, 0), Geom::Point(0, 0), Geom::Point(0, 0)); int worstP = -1; if (AttemptSimplify(lastA, nextA - lastA + 1, tresh, res, worstP)) { lastAddition.reset(new PathDescrCubicTo(Geom::Point(0, 0), Geom::Point(0, 0), Geom::Point(0, 0))); pending_cubic = res; lastAddition->associated = lastA; lastP = curP; lastAP = -1; } else { lastA = descr_cmd[lastP]->associated; // pourrait etre surecrit par la ligne suivante /* (possible translation: Could be overwritten by the next line.) */ FlushPendingAddition(tempDest, lastAddition.get(), pending_cubic, lastAP); lastAddition.reset(descr_cmd[curP]->clone()); if ( typ == descr_cubicto ) { pending_cubic = *(dynamic_cast(descr_cmd[curP])); } lastAP = curP; containsForced = false; } } else { lastA = prevA /*descr_cmd[curP-1]->associated */ ; lastAddition.reset(descr_cmd[curP]->clone()); if ( typ == descr_cubicto ) { pending_cubic = *(dynamic_cast(descr_cmd[curP])); } lastAP = curP; containsForced = false; } prevA = nextA; } else if (typ == descr_bezierto) { if (lastAddition->flags != descr_moveto) { FlushPendingAddition(tempDest, lastAddition.get(), pending_cubic, lastAP); lastAddition.reset(new PathDescrMoveTo(Geom::Point(0, 0))); } lastAP = -1; lastA = descr_cmd[curP]->associated; lastP = curP; PathDescrBezierTo *nBData = dynamic_cast(descr_cmd[curP]); for (int i = 1; i <= nBData->nb; i++) { FlushPendingAddition(tempDest, descr_cmd[curP + i], pending_cubic, curP + i); } curP += nBData->nb; prevA = nextA; } else if (typ == descr_interm_bezier) { continue; } else { continue; } } if (lastAddition->flags != descr_moveto) { FlushPendingAddition(tempDest, lastAddition.get(), pending_cubic, lastAP); } Copy(tempDest); delete tempDest; } void Path::FlushPendingAddition(Path *dest, PathDescr *lastAddition, PathDescrCubicTo &lastCubic, int lastAP) { switch (lastAddition->getType()) { case descr_moveto: if ( lastAP >= 0 ) { PathDescrMoveTo* nData = dynamic_cast(descr_cmd[lastAP]); dest->MoveTo(nData->p); } break; case descr_close: dest->Close(); break; case descr_cubicto: dest->CubicTo(lastCubic.p, lastCubic.start, lastCubic.end); break; case descr_lineto: if ( lastAP >= 0 ) { PathDescrLineTo *nData = dynamic_cast(descr_cmd[lastAP]); dest->LineTo(nData->p); } break; case descr_arcto: if ( lastAP >= 0 ) { PathDescrArcTo *nData = dynamic_cast(descr_cmd[lastAP]); dest->ArcTo(nData->p, nData->rx, nData->ry, nData->angle, nData->large, nData->clockwise); } break; case descr_bezierto: if ( lastAP >= 0 ) { PathDescrBezierTo *nData = dynamic_cast(descr_cmd[lastAP]); dest->BezierTo(nData->p); } break; case descr_interm_bezier: if ( lastAP >= 0 ) { PathDescrIntermBezierTo *nData = dynamic_cast(descr_cmd[lastAP]); dest->IntermBezierTo(nData->p); } break; } } /* Local Variables: mode:c++ c-file-style:"stroustrup" c-file-offsets:((innamespace . 0)(inline-open . 0)(case-label . +)) indent-tabs-mode:nil fill-column:99 End: */ // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:fileencoding=utf-8:textwidth=99 :