361 lines
20 KiB
Python
361 lines
20 KiB
Python
#!/usr/bin/env python3
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#
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# Copyright (C) 2021 Ellen Wasboe, ellen@wasbo.net
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 2 of the License, or
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# (at your option) any later version.
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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"""s
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Remove duplicate lines by comparing cubic bezier control points after converting to cubic super path.
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Optionally include searching for overlaps within the same path (which might cause trouble if the tolerance is too high and small neighbour segments are regarded as a match.
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Optionally add a tolerance for the comparison.
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Optionally interpolate the four control points of the remaining and the removed segment.
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"""
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import inkex
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from inkex import bezier, PathElement, CubicSuperPath, Transform
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import numpy as np
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from tkinter import messagebox
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class removeDuplicateLines(inkex.EffectExtension):
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def add_arguments(self, pars):
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pars.add_argument("--tab", default="options")
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pars.add_argument("--tolerance", default="0")
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pars.add_argument("--minUse", type=inkex.Boolean, default=False)
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pars.add_argument("--selfPath", type=inkex.Boolean, default=False)
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pars.add_argument("--interp", type=inkex.Boolean, default=False)
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"""Remove duplicate lines"""
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def effect(self):
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tolerance=float(self.options.tolerance)
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if self.options.minUse == False:
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tolerance=0
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coords=[]#one segmentx8 subarray for each path and subpath (paths and subpaths treated equally)
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pathNo=[]
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subPathNo=[]
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cPathNo=[]#counting alle paths and subpaths equally
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removeSegmentPath=[]
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removeSegmentSubPath=[]
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removeSegment_cPath=[]
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removeSegment=[]
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matchSegmentPath=[]
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matchSegmentSubPath=[]
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matchSegment_cPath=[]
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matchSegment=[]
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matchSegmentRev=[]
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if not self.svg.selected:
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raise inkex.AbortExtension("Please select an object.")
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nFailed=0
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nInkEffect=0
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p=0
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c=0
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idsNotPath=[]
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for id, elem in self.svg.selection.id_dict().items():
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thisIsPath=True
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if elem.get('d')==None:
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thisIsPath=False
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nFailed+=1
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idsNotPath.append(id)
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if elem.get('inkscape:path-effect') != None:
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thisIsPath=False
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nInkEffect+=1
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idsNotPath.append(id)
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if thisIsPath:
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#apply transformation matrix if present
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csp = CubicSuperPath(elem.get('d'))
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elem.path=elem.path.to_absolute()
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transformMat = Transform(elem.get('transform'))
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cpsTransf=csp.transform(transformMat)
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elem.path = cpsTransf.to_path(curves_only=True)
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pp=elem.path
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s=0
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#create matrix with segment coordinates p1x p1y c1x c1y c2x c2y p2x p2y
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for sub in pp.to_superpath():
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coordsThis=np.zeros((len(sub)-1,8))
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i=0
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while i <= len(sub) - 2:
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coordsThis[i][0]=sub[i][1][0]
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coordsThis[i][1]=sub[i][1][1]
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coordsThis[i][2]=sub[i][2][0]
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coordsThis[i][3]=sub[i][2][1]
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coordsThis[i][4]=sub[i+1][0][0]
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coordsThis[i][5]=sub[i+1][0][1]
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coordsThis[i][6]=sub[i+1][1][0]
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coordsThis[i][7]=sub[i+1][1][1]
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i+=1
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coords.append(coordsThis)
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pathNo.append(p)
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subPathNo.append(s)
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cPathNo.append(c)
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c+=1
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s+=1
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p+=1
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if nFailed > 0:
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messagebox.showwarning('Warning',str(nFailed)+' selected elements did not have a path. Groups, shapeelements and text will be ignored.')
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if nInkEffect > 0:
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messagebox.showwarning('Warning',str(nInkEffect)+' selected elements have an inkscape:path-effect applied. These elements will be ignored to avoid confusing results. Apply Paths->Object to path (Shift+Ctrl+C) and retry .')
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origCoords=[]
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for item in coords: origCoords.append(np.copy(item))#make a real copy (not a reference that changes with the original
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#search for overlapping or close segments
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#for each segment find if difference of any x or y is less than tolerance - if so - calculate 2d-distance and find if all 4 less than tolerance
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#repeat with reversed segment
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#if match found set match coordinates to -1000 to mark this to be removed and being ignored later on
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i=0
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while i <= len(coords)-1:#each path or subpath
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j=0
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while j<=len(coords[i][:,0])-1:#each segment j of path i
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k=0
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while k<=len(coords)-1:#search all other subpaths
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evalPath=True
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if k == i and self.options.selfPath == False:#do not test path against itself
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evalPath=False
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if evalPath:
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segmentCoords=np.array(coords[i][j,:])
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if segmentCoords[0] != -1000 and segmentCoords[1] != -1000:
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searchCoords=np.array(coords[k])
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if k==i:
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searchCoords[j,:]=-2000#avoid comparing segment with itself
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subtr=np.abs(searchCoords-segmentCoords)
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maxval=subtr.max(1)
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lessTol=np.argwhere(maxval<tolerance)
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matchThis=False
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matchThisRev=False
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finalK=0
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lesstolc=0
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if len(lessTol) > 0:#proceed to calculate 2d distance where both x and y distance is less than tolerance
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c=0
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while c < len(lessTol):
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dists=np.zeros(4)
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dists[0]=np.sqrt(np.add(np.power(subtr[lessTol[c,0]][0],2),np.power(subtr[lessTol[c,0]][1],2)))
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dists[1]=np.sqrt(np.add(np.power(subtr[lessTol[c,0]][2],2),np.power(subtr[lessTol[c,0]][3],2)))
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dists[2]=np.sqrt(np.add(np.power(subtr[lessTol[c,0]][4],2),np.power(subtr[lessTol[c,0]][5],2)))
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dists[3]=np.sqrt(np.add(np.power(subtr[lessTol[c,0]][6],2),np.power(subtr[lessTol[c,0]][7],2)))
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if dists.max() < tolerance:
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matchThis=True
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finalK=k
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lesstolc=lessTol[c]
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c+=1
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if matchThis == False:#try reversed
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segmentCoordsRev=[segmentCoords[6], segmentCoords[7],segmentCoords[4],segmentCoords[5],segmentCoords[2],segmentCoords[3],segmentCoords[0],segmentCoords[1]]
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subtr=np.abs(searchCoords-segmentCoordsRev)
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maxval=subtr.max(1)
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lessTol=np.argwhere(maxval<tolerance)
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if len(lessTol) > 0:#proceed to calculate 2d distance where both x and y distance is less than tolerance
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c=0
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while c < len(lessTol):
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dists=np.zeros(4)
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dists[0]=np.sqrt(np.add(np.power(subtr[lessTol[c,0]][0],2),np.power(subtr[lessTol[c,0]][1],2)))
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dists[1]=np.sqrt(np.add(np.power(subtr[lessTol[c,0]][2],2),np.power(subtr[lessTol[c,0]][3],2)))
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dists[2]=np.sqrt(np.add(np.power(subtr[lessTol[c,0]][4],2),np.power(subtr[lessTol[c,0]][5],2)))
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dists[3]=np.sqrt(np.add(np.power(subtr[lessTol[c,0]][6],2),np.power(subtr[lessTol[c,0]][7],2)))
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if dists.max() < tolerance:
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matchThis=True
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matchThisRev=True
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finalK=k
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lesstolc=lessTol[c]
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c+=1
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if matchThis:
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coords[finalK][lesstolc,:]=-1000
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removeSegmentPath.append(pathNo[finalK])
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removeSegmentSubPath.append(subPathNo[finalK])
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removeSegment_cPath.append(cPathNo[finalK])
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removeSegment.append(lesstolc)
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matchSegmentPath.append(pathNo[i])
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matchSegmentSubPath.append(subPathNo[i])
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matchSegment_cPath.append(cPathNo[i])
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matchSegment.append(j)
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matchSegmentRev.append(matchThisRev)
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k+=1
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j+=1
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i+=1
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#(interpolate remaining and) remove segments with a match
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if len(removeSegmentPath) > 0:
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removeSegmentPath=np.array(removeSegmentPath)
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removeSegmentSubPath=np.array(removeSegmentSubPath)
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removeSegment_cPath=np.array(removeSegment_cPath)
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removeSegment=np.array(removeSegment)
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matchSegmentPath=np.array(matchSegmentPath)
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matchSegment_cPath=np.array(matchSegment_cPath)
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matchSegmentSubPath=np.array(matchSegmentSubPath)
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matchSegment=np.array(matchSegment)
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matchSegmentRev=np.array(matchSegmentRev)
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#first interpolate remaining segment
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if self.options.interp:
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idx=np.argsort(matchSegmentPath)
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matchSegmentPath=matchSegmentPath[idx]
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matchSegment_cPath=matchSegment_cPath[idx]
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matchSegmentSubPath=matchSegmentSubPath[idx]
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matchSegment=matchSegment[idx]
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matchSegmentRev=matchSegmentRev[idx]
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remSegmentPath=removeSegmentPath[idx]
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remSegment_cPath=removeSegment_cPath[idx]
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remSegment=removeSegment[idx]
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i=0
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for id, elem in self.svg.selection.id_dict().items():#each path
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if not id in idsNotPath:
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if i in matchSegmentPath:
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idxi=np.argwhere(matchSegmentPath==i)
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idxi=idxi.reshape(-1)
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icMatch=matchSegment_cPath[idxi]
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iSegMatch=matchSegment[idxi]
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iSegMatchRev=matchSegmentRev[idxi]
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iSubMatch=matchSegmentSubPath[idxi]
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iSegRem=remSegment[idxi]
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icRem=remSegment_cPath[idxi]
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iPathRem=remSegmentPath[idxi]
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new=[]
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j=0
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for sub in elem.path.to_superpath():#each subpath
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idxj=np.argwhere(iSubMatch==j)
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idxj=idxj.reshape(-1)
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this_cMatch=icMatch[idxj]
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thisSegMatch=iSegMatch[idxj]
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thisSegMatchRev=iSegMatchRev[idxj]
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thisSegRem=iSegRem[idxj].reshape(-1)
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this_cRem=icRem[idxj]
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thisPathRem=iPathRem[idxj]
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k=0
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while k<len(thisSegMatch):
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if thisSegMatchRev[k]==False:
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x1interp=0.5*(sub[thisSegMatch[k]][1][0]+origCoords[this_cRem[k]][thisSegRem[k],0])
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y1interp=0.5*(sub[thisSegMatch[k]][1][1]+origCoords[this_cRem[k]][thisSegRem[k],1])
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cx1interp=0.5*(sub[thisSegMatch[k]][2][0]+origCoords[this_cRem[k]][thisSegRem[k],2])
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cy1interp=0.5*(sub[thisSegMatch[k]][2][1]+origCoords[this_cRem[k]][thisSegRem[k],3])
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x2interp=0.5*(sub[thisSegMatch[k]+1][1][0]+origCoords[this_cRem[k]][thisSegRem[k],6])
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y2interp=0.5*(sub[thisSegMatch[k]+1][1][1]+origCoords[this_cRem[k]][thisSegRem[k],7])
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cx2interp=0.5*(sub[thisSegMatch[k]+1][0][0]+origCoords[this_cRem[k]][thisSegRem[k],4])
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cy2interp=0.5*(sub[thisSegMatch[k]+1][0][1]+origCoords[this_cRem[k]][thisSegRem[k],5])
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else:
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x1interp=0.5*(sub[thisSegMatch[k]][1][0]+origCoords[this_cRem[k]][thisSegRem[k],6])
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y1interp=0.5*(sub[thisSegMatch[k]][1][1]+origCoords[this_cRem[k]][thisSegRem[k],7])
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cx1interp=0.5*(sub[thisSegMatch[k]][2][0]+origCoords[this_cRem[k]][thisSegRem[k],4])
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cy1interp=0.5*(sub[thisSegMatch[k]][2][1]+origCoords[this_cRem[k]][thisSegRem[k],5])
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x2interp=0.5*(sub[thisSegMatch[k]+1][1][0]+origCoords[this_cRem[k]][thisSegRem[k],0])
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y2interp=0.5*(sub[thisSegMatch[k]+1][1][1]+origCoords[this_cRem[k]][thisSegRem[k],1])
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cx2interp=0.5*(sub[thisSegMatch[k]+1][0][0]+origCoords[this_cRem[k]][thisSegRem[k],2])
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cy2interp=0.5*(sub[thisSegMatch[k]+1][0][1]+origCoords[this_cRem[k]][thisSegRem[k],3])
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sub[thisSegMatch[k]][1]=[x1interp,y1interp]
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sub[thisSegMatch[k]][2]=[cx1interp,cy1interp]
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sub[thisSegMatch[k]+1][1]=[x2interp,y2interp]
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sub[thisSegMatch[k]+1][0]=[cx2interp,cy2interp]
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if thisSegMatch[k]==0:
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sub[thisSegMatch[k]][0]=[x1interp,y1interp]
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if thisSegMatch[k]+1==len(sub)-1:
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sub[thisSegMatch[k]+1][2]=[x2interp,y2interp]
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k+=1
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new.append(sub)
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j+=1
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elem.path = CubicSuperPath(new).to_path(curves_only=True)
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i+=1
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#remove
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i=0
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for id, elem in self.svg.selection.id_dict().items():#each path
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if not id in idsNotPath:
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idx=np.argwhere(removeSegmentPath==i)
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if len(idx) > 0:
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idx=idx.reshape(1,-1)
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idx=idx[0]
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new=[]
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j=0
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for sub in elem.path.to_superpath():#each subpath
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thisSegRem=removeSegment[idx]
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keepLast=False if len(sub)-2 in thisSegRem else True
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keepNext2Last=False if len(sub)-3 in thisSegRem else True
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thisSubPath=removeSegmentSubPath[idx]
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idx2=np.argwhere(removeSegmentSubPath[idx]==j)
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if len(idx2) > 0:
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idx2=idx2.reshape(1,-1)
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idx2=idx2[0]
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thisSegRem=thisSegRem[idx2]
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if len(thisSegRem) < len(sub)-1:#if any segment to be kept
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#find first segment
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k=0
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if 0 in thisSegRem:#remove first segment
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proceed=True
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while proceed:
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if k+1 in thisSegRem:
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k+=1
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else:
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proceed=False
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k+=1
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new.append([sub[k]])
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if sub[k+1]!=new[-1][-1]:#avoid duplicated nodes
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new[-1].append(sub[k+1])
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new[-1][-1][0]=new[-1][-1][1]
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else:
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new.append([sub[0]])
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if sub[1]!=new[-1][-1]:#avoid duplicated nodes
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new[-1].append(sub[1])
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k+=1
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#rest of segments
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while k<len(sub)-1:
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if k in thisSegRem:
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new[-1][-1][-1]=new[-1][-1][1]#stop subpath
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cut=True
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while cut:
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if k+1 in thisSegRem:
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k+=1
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else:
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cut=False
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k+=1
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if k<len(sub)-1:
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#start new subpath, start by checking that last sub did contain more than one element
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if len(new[-1])==1: new.pop()
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new.append([sub[k]])#start new subpath
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new[-1][-1][0]=new[-1][-1][1]
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if sub[k+1]!=new[-1][-1]:#avoid duplicated nodes
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new[-1].append(sub[k+1])
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k+=1
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else:
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if sub[k+1]!=new[-1][-1]:#avoid duplicated nodes
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new[-1].append(sub[k+1])
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k+=1
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if keepLast:
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if sub[-1]!=new[-1][-1]:#avoid duplicated nodes
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new[-1].append(sub[-1])
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if len(new) > 0:
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if len(new[-1])==1: new.pop()
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else:
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new.append(sub)#add as is
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j+=1
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elem.path = CubicSuperPath(new).to_path(curves_only=True)
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i+=1
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if __name__ == '__main__':
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removeDuplicateLines().run() |