>self.fout, self.yfix1","findfont 12 scalefont setfont' if self.pageHeader != '': print >>self.fout, '(',self.pageHeader,') show' if","for t in titleLines: if len(t) > 0: print >>self.flog, ' '+t print","> 0: ff *= 0.10 vMin *= 10 vMax *= 10 v0 =","= k k=k+1 print >>self.fout, '/xfix ', fix, ' def\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc,","g, b) # def SetColorIndx(self, indx, r, g, b): self.colors[indx][0] = r self.colors[indx][1]",">>self.fout, self.yfix1 # else: # print >>self.fout, '/yfix { 0 add } def\\n'","= zList[indx] else: z = '' indx += 1 if self.xUniform == True:","'K': yss = ys[:-1] factor = 1000 elif ys[-1:] == 'M': yss =","state += 1 image = p.GetImage(sys.stdout) print 'Image file: ', image p.End() if","# def End(self): print >>self.fout, '\\nshowpage\\nend' self.fout.close() #--- GetInc(vMin, vMax) def GetInc(self,vMin, vMax):","k += 1 print >>self.fout, 'endFunction\\n' print >>self.fout, '19 { 0 0 0","}' if isinstance(vBeg,list): vList = vBeg vList.append(' ') self.xUniform = True v0 =","factor = 1000 elif zs[-1:] == 'M': zss = zs[:-1] factor = 1000000","d = 10.0 if d == 1 and float(v)/inc > 1.0: d =","= 'endFunction\\n' indx = 0 for x in xList: if x == '","div ', 0.0,' add } def\\n' if axis == 2: print >>self.fout, self.yfix2","SetXSize(xsize) def SetXSize(self, xsize): self.xSize = xsize return #--- SetYSize(ysize) def SetYSize(self, ysize):","y, z else: print >>self.fout, x, y, z print >>self.fout, endFun, type, '\\n'","print >>self.fout, self.xCount, k*y k += 1 print >>self.fout, 'endFunction\\n' print >>self.fout, '18",">>self.fout, 'showpage\\n} bind def' print >>self.fout, 'doGraph' #--- End() # def End(self): print","print >>self.fout, '/nextGraph { nextGraph1v } def' print >>self.fout, '/showpage {\\n 40 742","def\\n' print >>self.fout, 'beginFunction\\n' if isinstance(zList,list): endFun = 'endFunctionW\\n' else: endFun = 'endFunction\\n'","int(math.log10(v/inc)) d = math.pow(10,logInc) if d == 0: d = 10.0 else: d","1 v = v0 + n*vi fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div","= 2 while k < 10: print >>self.fout, self.xCount, k*y k += 1","> 0: print >>self.flog, ' '+t print >>self.fout, '('+t+')\\n' print >>self.fout, 'Mtitles\\n' #","< 10: print >>self.fout, 0, k*y k += 1 print >>self.fout, 'endFunction\\n' print","self.fout.close() #--- GetInc(vMin, vMax) def GetInc(self,vMin, vMax): ff = 1.0 while vMax <=","def GetAxis(self, vBeg, vEnd, vInc, logFlag): fix = '{ 0 add }' if","{ log '+str(logOffset)+' add } ifelse }' else: logFlag = 0 v =","if x == ' ' and indx == len(xList)-1: continue indx += 1",">>self.fout, x, 0.0 if (indx != 0) and (indx % 1000) == 0:","} def' print >>self.fout, '/nextGraph { nextGraph1v } def' print >>self.fout, '/showpage {\\n","1000000 else: yss = ys y = float(yss)*factor/10.0 k = 2 while k","elif value == 'On': v = 1 else: v = 0; if axis","plotWbarsC', sys.stdout) state += 1 image = p.GetImage(sys.stdout) print 'Image file: ', image","= 1 v0Log = math.log10(v0) t = math.ceil(v0Log) ff = math.modf(v0Log) if math.fabs(ff[0])","return #--- PlotData(axis, xList, yList, zList, id, type) # def PlotData(self, axis, xList,","False self.xLen = 6.5 #inches self.seriesTitle = ' ' self.x0 = 0 self.xInc","= v0 + n*vi fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' print","== 'M': yss = ys[:-1] factor = 1000000 else: yss = ys y","v0 while v <= v1: vList.append(self.ValueConvert(v,0)) v *= 10 if v0 > 1:","ys y = float(yss)*factor/10.0 k = 2 while k < 10: print >>self.fout,","= [] indx = 0 for s in toStateList: if s == state:","self.GetInc(vBeg,vEnd) else: v0 = vBeg v1 = vEnd vi = vInc if vBeg","in yList: factor = 1 if ys[-1:] == 'K': yss = ys[:-1] factor","'a') if plotsPerPage == 4: print >>self.fout, '/doGraph { graph4v } def' print","(0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN = 11 self.colorRed = (0.8,0,0) self.colorGreen = (0,0.8,0)","(0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN = 11 self.colorRed = (0.8,0,0)","vBeg, vEnd, vInc, logFlag): fix = '{ 0 add }' if isinstance(vBeg,list): vList","'{ '+str(v0-vi)+' sub '+str(vi)+' div }' logFlag = 0 else: if vInc ==","0 eq { } { log '+str(logOffset)+' add } ifelse }' else: logFlag","print >>self.fout, 'axpos axlen add aypos aylen' self.fout.write('[ ') for z in zList:","<= indx: continue z = zList[indx] else: z = '' indx += 1","= ' ' self.x0 = 0 self.xInc = 0 self.xCount = 0 self.xList","while w/m > 100: m *= 10 if (v0 >= 0) and (v0","'('+title+')\\nMtitles\\n' if logFlag == 1: print >>self.fout, 'beginFunction\\n' for ys in yList: factor","self.ColorBlack = (0,0,0) self.xSize = 1800 self.ySize = 900 shutil.copy('plot-header.ps', self.fname) self.fout =","PsPlot(object): def __init__(self, fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if self.foutPath ==","self.y2LogScale = v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\n\\nnextGraph\\n1 setlinewidth\\n'","v0 = vBeg v1 = vEnd logFlag = 1 v0Log = math.log10(v0) t","zss = zs y = float(zss)*factor/10.0 k = 2 while k < 10:","def SeriesNames(self, names): indx = len(names) - 1 if indx == 0: return","0: print >>self.flog, ' '+t print >>self.fout, '('+t+')\\n' print >>self.fout, 'Mtitles\\n' # print","1 fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' logFlag = 0 else:","= str(s) + 'G' elif v >= 1000000 and inc > 1: s","= int(v/(1000000000/d))/d if s*d == int(s)*d: s = int(s) r = str(s) +","SetXLen(self, xlen): self.xLen = xlen print >>self.fout, '/xAxisLen %.2f def' % self.xLen print","v = -1 elif value == 'On': v = 1 else: v =","s = int(v/(1000000000/d))/d if s*d == int(s)*d: s = int(s) r = str(s)","s*d == int(s)*d: s = int(s) r = str(s) + 'M' elif v","# Multiple lines in title are separated by '|' print >>self.flog, 'Main Title:","!= 0: v1 = int(v1/vInc)*vInc + vInc if (v0 % vInc) != 0:","1 if indx == 0: return print >>self.fout, '('+self.seriesTitle+')' while indx >= 0:","isinstance(vBeg,list): vList = vBeg vList.append(' ') self.xUniform = True v0 = 1 v1","x print >>self.fout, endFun, type, '\\n' return #--- PlotData(axis, xList, yList, zList, id,","= pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1 = '' self.yfix2 =","quit' else: size = ' -g1200x1100 ' cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg","{ graph3v } def' print >>self.fout, '/nextGraph { nextGraph3v } def' elif plotsPerPage","'G' elif v >= 1000000 and inc > 1: s = int(v/(1000000/d))/d if",">>self.fout, 'beginFunction\\n' for zs in zList: factor = 1 if zs[-1:] == 'K':","type) # def PlotData(self, axis, xList, yList, zList, id, type): flog = self.flog","'/Flag2Yaxes 1 def' self.yfix2 = '/yfix '+fix+' def\\n/yinc yinc2 def' print >>self.fout, 'axpos","== 'On': v = 1 else: v = 0; if axis == 1:","= self.flog print >>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\n' endFun = 'endFunction\\n' indx =","sys.exit(1) print 'tMin,tMax: ', tMin, tMax, 'fname: ', fname p = PsPlot('./p', 'Header',","indx = 0 for s in toStateList: if s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx])","z if (indx != 0) and (indx % 1000) == 0: print >>self.fout,",">>self.fout, '/nextGraph { nextGraph1v } def' print >>self.fout, '/showpage {\\n 40 742 moveto'","GetColorIndx(self, indx): color = self.colors[indx % self.colorsN] rv = ' { '+str(color[0])+' '+str(color[1])+'","yList[indx] if isinstance(zList,list): if len(zList) <= indx: continue z = zList[indx] else: z","= [] v = v0 while v <= v1: vList.append(self.ValueConvert(v,0)) v *= 10","ysize return #--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ', level, 'def\\n'","fname p = PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList = [] toStateList = []","len(vList) vi = 1 fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' logFlag",">>self.fout, 'axpos axlen add aypos aylen' self.fout.write('[ ') for z in zList: self.fout.write('('+str(z)+')","self.xUniform = True v0 = 1 v1 = len(vList) vi = 1 fix","= (0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack =","', tMin, tMax, 'fname: ', fname p = PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList","types import math #gsPath = '/usr/local/bin/gs' gsPath = 'gs' logFile = '/dev/null' #logFile","print >>self.fout, x, y, z if (indx != 0) and (indx % 1000)","= int(vMax+0.99) f = 1 w = v1 - v0 if w ==","'') i1 = inputLine.find('(') i2 = inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])]","self.xOffset,' sub ', self.xInc, ' div ', 0.0,' add } def\\n' if axis","= os.path.dirname(fname)+'/' if self.foutPath == '/': self.foutPath = '' self.foutName = os.path.basename(fname) self.fname","') self.fout.write(' ]') if ztitle != '': print >>self.fout, '('+ztitle+') vaxis2' if logFlag","= r self.colors[indx][1] = g self.colors[indx][2] = b return rv #--- outputPS(string) #","== 1: print >>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\n' for zs in zList: factor","i1 = inputLine.find('(') i2 = inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2","-c quit' else: size = ' -g1200x1100 ' cmdStr = gsPath + '","print >>self.fout, '/showpage {\\n 40 742 moveto' print >>self.fout, '/Helvetica findfont 12 scalefont","quit' print >>flog, 'cmdStr: ', cmdStr output = commands.getoutput(cmdStr) print >>flog, 'output from","zi self.y2Count = len(zList) print >>self.fout, '/Flag2Yaxes 1 def' self.yfix2 = '/yfix '+fix+'","if vBeg > 0 and (logFlag==1 or (logFlag==0 and (vEnd/vBeg > 100))): v0","#gsPath = '/usr/local/bin/gs' gsPath = 'gs' logFile = '/dev/null' #logFile = 'plot.log' #---","rv #--- outputPS(string) # def outputPS(self, s): print >>self.fout, s #--- SeriesNames(names) #","= zi self.y2Count = len(zList) print >>self.fout, '/Flag2Yaxes 1 def' self.yfix2 = '/yfix","endFun+type+'\\nbeginFunction\\n' if self.xUniform == True: print >>self.fout, g_indx, y, z else: print >>self.fout,","(f*ff) return v0, v1, vInc #--- ValueConvert(v) # def ValueConvert(self, v, inc): if","endFun, type, '\\n' return #--- PlotData(axis, xList, yList, zList, id, type) # def","xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\n[ ') for y in yList: self.fout.write('('+str(y)+') ') print","size = ' -g1200x550 ' size = ' -g%dx%d ' % (self.xSize, self.ySize)","s in toStateList: if s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx","xlen print >>self.fout, '/xAxisLen %.2f def' % self.xLen print >>self.fout, 'doGraph' return #---","print >>self.fout, 'showpage\\n} bind def' print >>self.fout, 'doGraph' #--- End() # def End(self):","+= 1 w = v1 - v0 if w <= 10: vInc =","by '|' print >>self.flog, 'Main Title: '+title titleLines = title.split('|') for t in","return print >>self.fout, '('+self.seriesTitle+')' while indx >= 0: if names[indx] != None: print","f = 1 w = v1 - v0 if w == 0: v1",">>self.fout, '/yfix { 0 add } def\\n' print >>self.fout, 'beginFunction\\n' if isinstance(zList,list): endFun","zs in zList: factor = 1 if zs[-1:] == 'K': zss = zs[:-1]","2: fname = sys.argv[1] elif len(sys.argv) == 3: tMin = int(sys.argv[1]) tMax =","= 1 if ys[-1:] == 'K': yss = ys[:-1] factor = 1000 elif","1 w = v1 - v0 if w == 0: v1 = v0","# def PlotData(self, axis, xList, yList, zList, id, type): flog = self.flog print","40 742 moveto' print >>self.fout, '/Helvetica findfont 12 scalefont setfont' if self.pageHeader !=","x in xList: if x == ' ' and indx == len(xList)-1: continue","== v1: v1 += 1 w = v1 - v0 if w <=","print >>flog, 'cmdStr: ', cmdStr output = commands.getoutput(cmdStr) print >>flog, 'output from gs","int(v1 / m) * m + m w = v1 - v0 if","-r100x100 '+self.fname+' -c quit' print >>flog, 'cmdStr: ', cmdStr output = commands.getoutput(cmdStr) print","= str(s) + 'K' elif v >= 1: s = int(v*d)/d if s*d","elif zs[-1:] == 'M': zss = zs[:-1] factor = 1000000 else: zss =","== ' ' and indx == len(xList)-1: continue if len(yList) <= indx: continue","print >>self.fout, self.yfix1 # else: # print >>self.fout, '/yfix { 0 add }","v1 = vEnd logFlag = 1 v0Log = math.log10(v0) t = math.ceil(v0Log) ff","fromStateList = [] toStateList = [] time1List = [] time2List = [] indx","0 self.xList = [] self.xDict = {} self.y1Inc = 0 self.y1Count = 0","zs[-1:] == 'K': zss = zs[:-1] factor = 1000 elif zs[-1:] == 'M':","# def PlotVBars(self, xList, type): flog = self.flog print >>self.fout, self.yfix1 print >>self.fout,","!= 0: v0 = int(v0/vInc)*vInc v0 += vInc v0 *= (f*ff) v1 *=","'+id+'\\n%\\n' print >>self.fout, '/xfix { ', self.x0 - self.xInc - self.xOffset,' sub ',",">>self.fout, '/doGraph { graph2v } def' print >>self.fout, '/nextGraph { nextGraph2v } def'","'On': v = 1 else: v = 0; if axis == 1: self.y1LogScale","True: print >>self.fout, g_indx, y, z else: print >>self.fout, x, y, z print","{ graph2v } def' print >>self.fout, '/nextGraph { nextGraph2v } def' else: print","inside parent? fix = '{ dup 0 eq { } { log '+str(logOffset)+'","- 1 if indx == 0: return print >>self.fout, '('+self.seriesTitle+')' while indx >=","self.ySize / 550) res = ' -r%dx%d ' % (xres, yres) cmdStr =","+ m w = v1 - v0 if w <= 5*m: vInc =","print 'tMin,tMax: ', tMin, tMax, 'fname: ', fname p = PsPlot('./p', 'Header', 'SubHeader',","'' self.yfix2 = '' self.xGrid = 1 self.yGrid = 1 self.xUniform = False","vList print >>self.flog, 'logFlag: ', logFlag, ' fix: ', fix return v0,v1,vi,vList,fix,logFlag #---","!= 0: if v1 % vInc != 0: v1 = int(v1/vInc)*vInc + vInc","for y in yList: self.fout.write('('+str(y)+') ') print >>self.fout, ' ]' print >>self.fout, '('+xtitle+')\\n('+ytitle+')\\naxes\\n'",">>self.fout, 'beginFunction\\n' endFun = 'endFunction\\n' indx = 0 for x in xList: if","= ys[:-1] factor = 1000000 else: yss = ys y = float(yss)*factor/10.0 k","!= 1: print 'USAGE: psPlot.py [tMin tMax] [fname]' sys.exit(1) print 'tMin,tMax: ', tMin,","break n += 1 v = v0 + n*vi fix = '{ '+str(v0-vi)+'",">= 1000 and inc > 1: s = int(v/(1000/d))/d if s*d == int(s)*d:","div }' print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog, 'vList: ', vList","m = 10 while w/m > 100: m *= 10 if (v0 >=","= '' self.xGrid = 1 self.yGrid = 1 self.xUniform = False self.xLen =","print >>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\n' for zs in zList: factor = 1","' -r%dx%d ' % (xres, yres) cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE","(xres, yres) cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+' -c","= 11 self.colorRed = (0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua =","(v0 % m) != 0: v0 = int(v0 / m) * m if","cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' print >>flog,","inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t = int(inputList[2]) if indx !=","= 0 self.xOffset = 0 self.colors = [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3),","add } ifelse }' else: logFlag = 0 v = v0 vList =","print >>self.fout, x, y, z print >>self.fout, endFun, type, '\\n' return #--- GetImage()","= False self.xLen = 6.5 #inches self.seriesTitle = ' ' self.x0 = 0","v0 = 1 v1 = len(vList) vi = 1 fix = '{ '+str(v0-vi)+'","python2 import sys import random import os.path import shutil import commands import types","print >>self.fout, '/nextGraph { nextGraph2v } def' else: print >>self.fout, '/doGraph { graph1v","isinstance(zList,list): endFun = 'endFunctionW\\n' else: endFun = 'endFunction\\n' indx = 0 for x","v1 - v0 if w <= 5*m: vInc = m/2 else: vInc =","= int(s) r = str(s) + 'K' elif v >= 1: s =","s*d == int(s)*d: s = int(s) r = str(s) + 'G' elif v","= 0 self.y2Count = 0 self.y2LogScale = 0 self.xOffset = 0 self.colors =","print >>flog, 'graph xList: ', self.xList, ' xList: ', xList, \\ ' yList:","1: s = int(v/(1000000/d))/d if s*d == int(s)*d: s = int(s) r =",">>self.fout, '/xfix ', fix, ' def\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi","len(sys.argv) == 3: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) elif len(sys.argv) == 4:","= len(names) - 1 if indx == 0: return print >>self.fout, '('+self.seriesTitle+')' while","= '{ '+str(v0-vi)+' sub '+str(vi)+' div }' logFlag = 0 else: if vInc","oldTime = t indx += 1 p.SetPlot(tMin, tMax, 0, 0, 2, 0, 'Time',","inputLine.replace(' ','') inputLine = inputLine.replace(\"'\", '') i1 = inputLine.find('(') i2 = inputLine.find(')') inputList","#inches self.seriesTitle = ' ' self.x0 = 0 self.xInc = 0 self.xCount =","1000 and inc > 1: s = int(v/(1000/d))/d if s*d == int(s)*d: s","while v <= v1: vList.append(self.ValueConvert(v,0)) v *= 10 if v0 > 1: logOffset","4: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) fname = sys.argv[3] elif len(sys.argv) !=","= sys.argv[3] elif len(sys.argv) != 1: print 'USAGE: psPlot.py [tMin tMax] [fname]' sys.exit(1)","print >>self.fout, '19 { 0 0 0 setrgbcolor } plotSymbolsC\\n' return y1 #---","Title: '+title titleLines = title.split('|') for t in titleLines: if len(t) > 0:","t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx += 1 p.PlotData(1,t1List, t2List, sList, 'Test', '0.1","1 print >>self.fout, 'endFunction\\n' print >>self.fout, '19 { 0 0 0 setrgbcolor }","self.y1Inc = yi self.y1Count = len(yList) self.yfix1 = '/yfix '+fix+' def\\n /yinc yinc1","print >>self.fout, '\\nshowpage\\nend' self.fout.close() #--- GetInc(vMin, vMax) def GetInc(self,vMin, vMax): ff = 1.0","0.0 if (indx != 0) and (indx % 1000) == 0: print >>self.fout,","m + m w = v1 - v0 if w <= 5*m: vInc","= 0; if axis == 1: self.y1LogScale = v else: self.y2LogScale = v","from above inside parent? fix = '{ dup 0 eq { } {","== len(xList)-1: continue indx += 1 print >>self.fout, x, 0.0 if (indx !=","def SetPlotYLogScale(self,axis,value): if value == 'Off': v = -1 elif value == 'On':","zss = zs[:-1] factor = 1000 elif zs[-1:] == 'M': zss = zs[:-1]","print >>self.fout, '/xAxisLen %.2f def' % self.xLen print >>self.fout, 'doGraph' return #--- SetXSize(xsize)","def GetInc(self,vMin, vMax): ff = 1.0 while vMax <= 1 and vMax >","vInc = m/2 else: vInc = m else: vInc = m # if","def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count","0 while state <= 4: t1List = [] t2List = [] sList =","#--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if value == 'Off': v = -1 elif","'/plotNumPercentDir 0 def\\n' return #--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if value == 'Off':","<= 20: vInc = 2 else: m = 10 while w/m > 100:","0 0 setrgbcolor } plotSymbolsC\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def","logFlag = 0 v = v0 vList = [] n = 0 while","inc > 1: s = int(v/(1000000/d))/d if s*d == int(s)*d: s = int(s)","gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' print >>flog, 'cmdStr: ',","v0 = math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList = [] v","(0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack = (0,0,0) self.xSize = 1800","self.colors = [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0),","else: print >>self.fout, '/plotNumPercentDir 0 def\\n' return #--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if","if self.xUniform == True: g_indx = self.xDict[x] print >>self.fout, g_indx, y, z else:","'' indx += 1 if self.xUniform == True: g_indx = self.xDict[x] print >>self.fout,","(f*ff) v1 *= (f*ff) vInc *= (f*ff) return v0, v1, vInc #--- ValueConvert(v)","= math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList = [] v =","print >>self.fout, '('+self.seriesTitle+')' while indx >= 0: if names[indx] != None: print >>self.fout,","self.flog = open('./psPlot.out', 'a') if plotsPerPage == 4: print >>self.fout, '/doGraph { graph4v","if s*d == int(s)*d: s = int(s) r = str(s) + 'G' elif","726 moveto\\n (',self.pageSubHeader,') show' print >>self.fout, 'showpage\\n} bind def' print >>self.fout, 'doGraph' #---","1: self.y1LogScale = v else: self.y2LogScale = v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def","= ys[:-1] factor = 1000 elif ys[-1:] == 'M': yss = ys[:-1] factor","== True: print >>self.fout, g_indx, y, z else: print >>self.fout, x, y, z","for zs in zList: factor = 1 if zs[-1:] == 'K': zss =","'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state += 1 image = p.GetImage(sys.stdout)","logFlag = 1 v0Log = math.log10(v0) t = math.ceil(v0Log) ff = math.modf(v0Log) if","'+str(color[2])+ \\ ' setrgbcolor } ' return rv #--- SetColorIndx(indx, r, g, b)","pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1 = '' self.yfix2 = '' self.xGrid = 1","0 and (logFlag==1 or (logFlag==0 and (vEnd/vBeg > 100))): v0 = vBeg v1","= [] time1List = [] time2List = [] indx = 0 oldTime =","= stateList[int(inputList[1])] t = int(inputList[2]) if indx != 0 and t >= tMin","2 else: m = 10 while w/m > 100: m *= 10 if","in fin: inputLine = inputLine.replace(' ','') inputLine = inputLine.replace(\"'\", '') i1 = inputLine.find('(')","xList: ', xList, \\ ' yList: ', yList print >>self.fout, '%\\n% Plot '+id+'\\n%\\n'","= vEnd vi = vInc if vBeg > 0 and (logFlag==1 or (logFlag==0","#logFile = 'plot.log' #--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) # class PsPlot(object): def","t1List = [] t2List = [] sList = [] indx = 0 for","print >>self.fout, '40 726 moveto\\n (',self.pageSubHeader,') show' print >>self.fout, 'showpage\\n} bind def' print","endFun = 'endFunctionW\\n' else: endFun = 'endFunction\\n' indx = 0 for x in","= 1 if zs[-1:] == 'K': zss = zs[:-1] factor = 1000 elif",">= 0) and (v0 % m) != 0: v0 = int(v0 / m)","SetYSize(self, ysize): self.ySize = ysize return #--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print >>self.fout,","self.fout.write('[ ') for z in zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]') if ztitle !=","] self.colorsN = 11 self.colorRed = (0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue = (0,0,0.8)","moveto' print >>self.fout, '/Helvetica findfont 12 scalefont setfont' if self.pageHeader != '': print","= [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0)","< math.fabs(v0Log)/1000 and t < 0: t += 1 logOffset = 0 while","/ m) * m if (v1 % m) != 0: v1 = int(v1","p.SetPlot(tMin, tMax, 0, 0, 2, 0, 'Time', 'Socket/State', 'Chavey\\'s Plot') state = 0","== 'K': yss = ys[:-1] factor = 1000 elif ys[-1:] == 'M': yss","= PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList = [] toStateList = [] time1List =",">= 1000000000 and inc > 1: s = int(v/(1000000000/d))/d if s*d == int(s)*d:","vInc != 0: v1 = int(v1/vInc)*vInc + vInc if (v0 % vInc) !=","= v0 while v <= v1: vList.append(self.ValueConvert(v,0)) v *= 10 if v0 >","} def\\n' if axis == 2: print >>self.fout, self.yfix2 elif axis == 1:",">>self.fout, 'beginFunction\\n' for ys in yList: factor = 1 if ys[-1:] == 'K':","names[indx] != None: print >>self.fout, '('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx","self.xLen)) yres = int(110 * self.ySize / 550) res = ' -r%dx%d '","continue if len(yList) <= indx: continue y = yList[indx] if isinstance(zList,list): if len(zList)","') self.xUniform = True v0 = 1 v1 = len(vList) vi = 1","= 1 v1 = len(vList) vi = 1 fix = '{ '+str(v0-vi)+' sub","k < 10: print >>self.fout, self.xCount, k*y k += 1 print >>self.fout, 'endFunction\\n'","= 1 vList = [] v = v0 while v <= v1: vList.append(self.ValueConvert(v,0))","} def\\n' print >>self.fout, 'beginFunction\\n' if isinstance(zList,list): endFun = 'endFunctionW\\n' else: endFun =","* self.ySize / 550) res = ' -r%dx%d ' % (xres, yres) cmdStr","'logFlag: ', logFlag, ' fix: ', fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self,","v else: self.y2LogScale = v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout,","+= 1 print >>self.fout, 'endFunction\\n' print >>self.fout, '19 { 0 0 0 setrgbcolor","plotsPerPage == 4: print >>self.fout, '/doGraph { graph4v } def' print >>self.fout, '/nextGraph",">>self.fout, g_indx, y, z else: print >>self.fout, x, y, z print >>self.fout, endFun,","return rv #--- SetColor(color) # def SetColor(self, color): rv = ' { '+str(color[0])+'","(vEnd/vBeg > 100))): v0 = vBeg v1 = vEnd logFlag = 1 v0Log",">>self.fout, 'showpage\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage == 1: # size = ' -g1200x550","def SetXLen(self, xlen): self.xLen = xlen print >>self.fout, '/xAxisLen %.2f def' % self.xLen","#--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) # class PsPlot(object): def __init__(self, fname, pageHeader,","0 v = v0 vList = [] n = 0 while True: vList.append(self.ValueConvert(v,vi))","math.log10(v0) t = math.ceil(v0Log) ff = math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t","b): self.colors[indx][0] = r self.colors[indx][1] = g self.colors[indx][2] = b return rv #---","str(int(v*100)/100.0) return r #--- GetAxis(vBeg, vEnd, vInc, logFlag) # def GetAxis(self, vBeg, vEnd,","', 0.0,' add } def\\n' if axis == 2: print >>self.fout, self.yfix2 elif","0: v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0 = vBeg v1 = vEnd vi =","20: vInc = 2 else: m = 10 while w/m > 100: m","= v1 - v0 if w <= 5*m: vInc = m/2 else: vInc","SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ', level, 'def\\n' return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if","factor = 1 if zs[-1:] == 'K': zss = zs[:-1] factor = 1000","x in xList: self.xDict[x] = k k=k+1 print >>self.fout, '/xfix ', fix, '","+self.fname+' -c quit' # cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+'","0: d = 10.0 else: d = 10.0 if d == 1 and","vInc = m # if (vMax/f)%vInc != 0 or v1 % vInc !=","' % (xres, yres) cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res","names): indx = len(names) - 1 if indx == 0: return print >>self.fout,","import random import os.path import shutil import commands import types import math #gsPath","1000 elif ys[-1:] == 'M': yss = ys[:-1] factor = 1000000 else: yss","def GetColorIndx(self, indx): color = self.colors[indx % self.colorsN] rv = ' { '+str(color[0])+'","#--- SeriesNames(names) # def SeriesNames(self, names): indx = len(names) - 1 if indx","== 4: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) fname = sys.argv[3] elif len(sys.argv)","self.xOffset = 0 self.colors = [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0),","= v1 - v0 if w <= 10: vInc = 1 elif w","bind def' print >>self.fout, 'doGraph' #--- End() # def End(self): print >>self.fout, '\\nshowpage\\nend'","s*0.20) indx += 1 p.PlotData(1,t1List, t2List, sList, 'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC',",">>self.fout, 'doGraph' #--- End() # def End(self): print >>self.fout, '\\nshowpage\\nend' self.fout.close() #--- GetInc(vMin,","def' elif plotsPerPage == 3: print >>self.fout, '/doGraph { graph3v } def' print","fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' logFlag = 0 else: if","'+str(color[1])+' '+str(color[2])+ \\ ' setrgbcolor } ' return rv #--- GetColorIndx(indx) # def","print >>self.fout, '/plotNumPercentDir 1 def\\n' else: print >>self.fout, '/plotNumPercentDir 0 def\\n' return #---","t2List = [] sList = [] indx = 0 for s in toStateList:","nextGraph4v } def' elif plotsPerPage == 3: print >>self.fout, '/doGraph { graph3v }","vInc = 1 elif w <= 20: vInc = 2 else: m =","'showpage\\n} bind def' print >>self.fout, 'doGraph' #--- End() # def End(self): print >>self.fout,","'+str(color[2])+ \\ ' setrgbcolor } ' return rv #--- GetColorIndx(indx) # def GetColorIndx(self,","' return rv #--- SetColorIndx(indx, r, g, b) # def SetColorIndx(self, indx, r,","t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx += 1 p.PlotData(1,t1List, t2List, sList, 'Test', '0.1 in","0, 2, 0, 'Time', 'Socket/State', 'Chavey\\'s Plot') state = 0 while state <=","in xList: self.xDict[x] = k k=k+1 print >>self.fout, '/xfix ', fix, ' def\\n'","= g self.colors[indx][2] = b return rv #--- outputPS(string) # def outputPS(self, s):","while indx >= 0: if names[indx] != None: print >>self.fout, '('+names[indx]+') ' print","elif len(sys.argv) == 4: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) fname = sys.argv[3]","def' % self.xLen print >>self.fout, 'doGraph' return #--- SetXSize(xsize) def SetXSize(self, xsize): self.xSize","if ys[-1:] == 'K': yss = ys[:-1] factor = 1000 elif ys[-1:] ==","print 'USAGE: psPlot.py [tMin tMax] [fname]' sys.exit(1) print 'tMin,tMax: ', tMin, tMax, 'fname:","inputLine in fin: inputLine = inputLine.replace(' ','') inputLine = inputLine.replace(\"'\", '') i1 =","1: logOffset -= (math.log10(v0) - 1) # substract 1 from above inside parent?","'output from gs command: ', output return self.foutPath+self.foutName+'.jpg' #--- Main # def main():","w = v1 - v0 if w <= 10: vInc = 1 elif","print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog, 'vList: ', vList print >>self.flog,","' def\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi self.y1Count = len(yList) self.yfix1","= inputLine.replace(\"'\", '') i1 = inputLine.find('(') i2 = inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1","graph2v } def' print >>self.fout, '/nextGraph { nextGraph2v } def' else: print >>self.fout,","', self.x0 - self.xInc - self.xOffset,' sub ', self.xInc, ' div ', 0.0,'","(0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite = (1,1,1)","indx == len(xList)-1: continue if len(yList) <= indx: continue y = yList[indx] if","# w = int(w/f) v0 = int(v0/f) v1 = int(v1/f) if (vMin %","xList, type): flog = self.flog print >>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\n' endFun =","= 0 self.colors = [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5),","print >>self.flog, ' '+t print >>self.fout, '('+t+')\\n' print >>self.fout, 'Mtitles\\n' # print >>self.fout,","') for z in zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]') if ztitle != '':","vBeg v1 = vEnd logFlag = 1 v0Log = math.log10(v0) t = math.ceil(v0Log)","= sys.argv[1] elif len(sys.argv) == 3: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) elif",">>self.fout, '('+title+')\\nMtitles\\n' if logFlag == 1: print >>self.fout, 'beginFunction\\n' for ys in yList:","10: vInc = 1 elif w <= 20: vInc = 2 else: m","0: t += 1 logOffset = 0 while t < 1: logOffset +=","v1 *= (f*ff) vInc *= (f*ff) return v0, v1, vInc #--- ValueConvert(v) #","self.x0 = 0 self.xInc = 0 self.xCount = 0 self.xList = [] self.xDict","self.colorsN = 11 self.colorRed = (0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua","== 2: print >>self.fout, '/doGraph { graph2v } def' print >>self.fout, '/nextGraph {","int(w/f) v0 = int(v0/f) v1 = int(v1/f) if (vMin % f) != 0","inc): if inc > 0: logInc = int(math.log10(v/inc)) d = math.pow(10,logInc) if d","<= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime = t indx += 1 p.SetPlot(tMin,","= str(s) + 'M' elif v >= 1000 and inc > 1: s","'cmdStr: ', cmdStr output = commands.getoutput(cmdStr) print >>flog, 'output from gs command: ',","' -g%dx%d ' % (self.xSize, self.ySize) xres = int(100 * self.xSize * 6.5","True v0 = 1 v1 = len(vList) vi = 1 fix = '{","== 3: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) elif len(sys.argv) == 4: tMin","+ 1 w = 1 while w/f >= 100: f *= 10 #","== 'Off': v = -1 elif value == 'On': v = 1 else:",">>self.fout, ' ]' print >>self.fout, '('+xtitle+')\\n('+ytitle+')\\naxes\\n' print >>self.fout, self.xGrid, self.yGrid, ' grid\\n' print","zs[:-1] factor = 1000000 else: zss = zs y = float(zss)*factor/10.0 k =","type, '\\n' return #--- GetImage() # def GetImage(self): flog = self.flog print >>self.fout,","value == 'On': v = 1 else: v = 0; if axis ==",">>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\n' endFun = 'endFunction\\n' indx = 0 for x","= os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage =","r, g, b) # def SetColorIndx(self, indx, r, g, b): self.colors[indx][0] = r","d == 0: d = 10.0 else: d = 10.0 if d ==","plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if self.foutPath == '/': self.foutPath = '' self.foutName =","while k < 10: print >>self.fout, 0, k*y k += 1 print >>self.fout,","# def GetColorIndx(self, indx): color = self.colors[indx % self.colorsN] rv = ' {","self.xLen = xlen print >>self.fout, '/xAxisLen %.2f def' % self.xLen print >>self.fout, 'doGraph'","r = str(s) else: r = str(int(v*100)/100.0) return r #--- GetAxis(vBeg, vEnd, vInc,","0 add } def\\n' print >>self.fout, 'beginFunction\\n' if isinstance(zList,list): endFun = 'endFunctionW\\n' else:","== 1: # size = ' -g1200x550 ' size = ' -g%dx%d '","vMax > 0: ff *= 0.10 vMin *= 10 vMax *= 10 v0","b return rv #--- outputPS(string) # def outputPS(self, s): print >>self.fout, s #---","vInc, logFlag) # def GetAxis(self, vBeg, vEnd, vInc, logFlag): fix = '{ 0","= vInc if vBeg > 0 and (logFlag==1 or (logFlag==0 and (vEnd/vBeg >","g self.colors[indx][2] = b return rv #--- outputPS(string) # def outputPS(self, s): print","vInc if vBeg > 0 and (logFlag==1 or (logFlag==0 and (vEnd/vBeg > 100))):","self.fout.write(' ]\\n[ ') for y in yList: self.fout.write('('+str(y)+') ') print >>self.fout, ' ]'","> 1: logOffset -= (math.log10(v0) - 1) # substract 1 from above inside","y = float(yss)*factor/10.0 k = 2 while k < 10: print >>self.fout, 0,","aylen' self.fout.write('[ ') for z in zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]') if ztitle",">>self.fout, '('+self.seriesTitle+')' while indx >= 0: if names[indx] != None: print >>self.fout, '('+names[indx]+')","(indx != 0) and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' print","w <= 5*m: vInc = m/2 else: vInc = m else: vInc =","else: d = 10.0 if d == 1 and float(v)/inc > 1.0: d","zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]') if ztitle != '': print >>self.fout, '('+ztitle+') vaxis2'","#--- SetColorIndx(indx, r, g, b) # def SetColorIndx(self, indx, r, g, b): self.colors[indx][0]","yList: ', yList print >>self.fout, '%\\n% Plot '+id+'\\n%\\n' print >>self.fout, '/xfix { ',","yss = ys[:-1] factor = 1000000 else: yss = ys y = float(yss)*factor/10.0","w = 1 while w/f >= 100: f *= 10 # w =","v0 + 1 w = 1 while w/f >= 100: f *= 10","if v0 > 1: logOffset -= (math.log10(v0) - 1) # substract 1 from","int(sys.argv[2]) fname = sys.argv[3] elif len(sys.argv) != 1: print 'USAGE: psPlot.py [tMin tMax]","1 if zs[-1:] == 'K': zss = zs[:-1] factor = 1000 elif zs[-1:]","'M' elif v >= 1000 and inc > 1: s = int(v/(1000/d))/d if","* 6.5 / (1200 * self.xLen)) yres = int(110 * self.ySize / 550)","if len(sys.argv) == 2: fname = sys.argv[1] elif len(sys.argv) == 3: tMin =","= int(s) r = str(s) else: r = str(int(v*100)/100.0) return r #--- GetAxis(vBeg,","for z in zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]') if ztitle != '': print","int(s)*d: s = int(s) r = str(s) + 'M' elif v >= 1000","% self.colorsN] rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\ ' setrgbcolor }","yList print >>self.fout, '%\\n% Plot '+id+'\\n%\\n' print >>self.fout, '/xfix { ', self.x0 -","setfont' if self.pageHeader != '': print >>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader != '':","elif w <= 20: vInc = 2 else: m = 10 while w/m","def GetImage(self): flog = self.flog print >>self.fout, 'showpage\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage ==","]') if ztitle != '': print >>self.fout, '('+ztitle+') vaxis2' if logFlag == 1:","toStateList = [] time1List = [] time2List = [] indx = 0 oldTime","z = '' indx += 1 if self.xUniform == True: g_indx = self.xDict[x]","', cmdStr output = commands.getoutput(cmdStr) print >>flog, 'output from gs command: ', output","> 100: m *= 10 if (v0 >= 0) and (v0 % m)","print >>self.fout, 'endFunction\\n' print >>self.fout, '19 { 0 0 0 setrgbcolor } plotSymbolsC\\n'","else: logFlag = 0 v = v0 vList = [] n = 0","'gs' logFile = '/dev/null' #logFile = 'plot.log' #--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage)","*= (f*ff) vInc *= (f*ff) return v0, v1, vInc #--- ValueConvert(v) # def","[] indx = 0 for s in toStateList: if s == state: t1List.append(time1List[indx])","GetInc(self,vMin, vMax): ff = 1.0 while vMax <= 1 and vMax > 0:","vInc *= (f*ff) return v0, v1, vInc #--- ValueConvert(v) # def ValueConvert(self, v,","-dNOPAUSE -r100x100 '+self.fname+' -c quit' else: size = ' -g1200x1100 ' cmdStr =","or (logFlag==0 and (vEnd/vBeg > 100))): v0 = vBeg v1 = vEnd logFlag","self.flog print >>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\n' endFun = 'endFunction\\n' indx = 0","def' else: print >>self.fout, '/doGraph { graph1v } def' print >>self.fout, '/nextGraph {",">>self.fout, self.xCount, k*y k += 1 print >>self.fout, 'endFunction\\n' print >>self.fout, '18 {","0 else: if vInc == 0: v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0 = vBeg","'Chavey\\'s Plot') state = 0 while state <= 4: t1List = [] t2List","in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state += 1 image = p.GetImage(sys.stdout) print 'Image","w <= 10: vInc = 1 elif w <= 20: vInc = 2","10 v0 = int(vMin) v1 = int(vMax+0.99) f = 1 w = v1","'('+self.seriesTitle+')' while indx >= 0: if names[indx] != None: print >>self.fout, '('+names[indx]+') '","v0 = int(vMin) v1 = int(vMax+0.99) f = 1 w = v1 -","End() # def End(self): print >>self.fout, '\\nshowpage\\nend' self.fout.close() #--- GetInc(vMin, vMax) def GetInc(self,vMin,","'|' print >>self.flog, 'Main Title: '+title titleLines = title.split('|') for t in titleLines:","== ' ' and indx == len(xList)-1: continue indx += 1 print >>self.fout,","(0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN =","/ (1200 * self.xLen)) yres = int(110 * self.ySize / 550) res =","if s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx += 1 p.PlotData(1,t1List,","'/nextGraph { nextGraph1v } def' print >>self.fout, '/showpage {\\n 40 742 moveto' print","if d == 1 and float(v)/inc > 1.0: d = 10.0 if v","0 add }' if isinstance(vBeg,list): vList = vBeg vList.append(' ') self.xUniform = True","p.PlotData(1,t1List, t2List, sList, 'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state += 1","= math.log10(v0) t = math.ceil(v0Log) ff = math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and","= 0 for x in xList: if x == ' ' and indx","= len(vList) vi = 1 fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }'","'tMin,tMax: ', tMin, tMax, 'fname: ', fname p = PsPlot('./p', 'Header', 'SubHeader', 1)","= int(sys.argv[2]) fname = sys.argv[3] elif len(sys.argv) != 1: print 'USAGE: psPlot.py [tMin","tMax, 'fname: ', fname p = PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList = []","-sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+' -c quit' # cmdStr = gsPath + '","10 # w = int(w/f) v0 = int(v0/f) v1 = int(v1/f) if (vMin","= open('./psPlot.out', 'a') if plotsPerPage == 4: print >>self.fout, '/doGraph { graph4v }","'(',self.pageHeader,') show' if self.pageSubHeader != '': print >>self.fout, '40 726 moveto\\n (',self.pageSubHeader,') show'","return #--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if value == 'Off': v = -1","- v0 if w == 0: v1 = v0 + 1 w =","self.plotsPerPage == 1: # size = ' -g1200x550 ' size = ' -g%dx%d","% vInc) != 0: v0 = int(v0/vInc)*vInc v0 += vInc v0 *= (f*ff)","#--- End() # def End(self): print >>self.fout, '\\nshowpage\\nend' self.fout.close() #--- GetInc(vMin, vMax) def","def' print >>self.fout, 'doGraph' #--- End() # def End(self): print >>self.fout, '\\nshowpage\\nend' self.fout.close()","yList, zList, id, type): flog = self.flog print >>flog, 'graph xList: ', self.xList,","while state <= 4: t1List = [] t2List = [] sList = []","commands.getoutput(cmdStr) print >>flog, 'output from gs command: ', output return self.foutPath+self.foutName+'.jpg' #--- Main","print >>self.fout, '/xfix ', fix, ' def\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc =",">>self.fout, '/ymtitle ypos ylen add 10 add def\\n' # Multiple lines in title","import shutil import commands import types import math #gsPath = '/usr/local/bin/gs' gsPath =","= str(int(v*100)/100.0) return r #--- GetAxis(vBeg, vEnd, vInc, logFlag) # def GetAxis(self, vBeg,","vInc, logFlag): fix = '{ 0 add }' if isinstance(vBeg,list): vList = vBeg","g_indx, y, z else: print >>self.fout, x, y, z print >>self.fout, endFun, type,","#--- PlotVBars(xList, type) # def PlotVBars(self, xList, type): flog = self.flog print >>self.fout,","/ m) * m + m w = v1 - v0 if w","ValueConvert(v) # def ValueConvert(self, v, inc): if inc > 0: logInc = int(math.log10(v/inc))","SetColor(color) # def SetColor(self, color): rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\","0: ff *= 0.10 vMin *= 10 vMax *= 10 v0 = int(vMin)","1 w = 1 while w/f >= 100: f *= 10 # w","= 1000000 else: zss = zs y = float(zss)*factor/10.0 k = 2 while","v1 - v0 if w <= 10: vInc = 1 elif w <=","k k=k+1 print >>self.fout, '/xfix ', fix, ' def\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale)","def\\n' # Multiple lines in title are separated by '|' print >>self.flog, 'Main","0: v0 = int(v0/vInc)*vInc v0 += vInc v0 *= (f*ff) v1 *= (f*ff)","= int(sys.argv[1]) tMax = int(sys.argv[2]) fname = sys.argv[3] elif len(sys.argv) != 1: print","End(self): print >>self.fout, '\\nshowpage\\nend' self.fout.close() #--- GetInc(vMin, vMax) def GetInc(self,vMin, vMax): ff =","v1:',v1,' (',vEnd,')' print >>self.flog, 'vList: ', vList print >>self.flog, 'logFlag: ', logFlag, '","yss = ys[:-1] factor = 1000 elif ys[-1:] == 'M': yss = ys[:-1]",">>self.fout, g_indx, y, z else: print >>self.fout, x, y, z if (indx !=","log '+str(logOffset)+' add } ifelse }' else: logFlag = 0 v = v0","import sys import random import os.path import shutil import commands import types import","print >>self.flog, 'Main Title: '+title titleLines = title.split('|') for t in titleLines: if","print >>self.fout, self.xGrid, self.yGrid, ' grid\\n' print >>self.fout, '/ymtitle ypos ylen add 10","# def SetPlotYLogScale(self,axis,value): if value == 'Off': v = -1 elif value ==","(0,0,0) self.xSize = 1800 self.ySize = 900 shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname, 'a')","SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\n\\nnextGraph\\n1 setlinewidth\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc =","== 1: print >>self.fout, self.yfix1 # else: # print >>self.fout, '/yfix { 0","cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+' -c quit' #","def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\n\\nnextGraph\\n1 setlinewidth\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc","= '{ '+str(v0-vi)+' sub '+str(vi)+' div }' print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')'","-r%dx%d ' % (xres, yres) cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+","', fname p = PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList = [] toStateList =","-1 elif value == 'On': v = 1 else: v = 0; if","x in xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\n[ ') for y in yList: self.fout.write('('+str(y)+')","'': print >>self.fout, '('+ztitle+') vaxis2' if logFlag == 1: print >>self.fout, self.yfix2 print","{ graph1v } def' print >>self.fout, '/nextGraph { nextGraph1v } def' print >>self.fout,","2 while k < 10: print >>self.fout, 0, k*y k += 1 print","[] sList = [] indx = 0 for s in toStateList: if s","ypos ylen add 10 add def\\n' # Multiple lines in title are separated","int(s) r = str(s) + 'M' elif v >= 1000 and inc >","fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,'","and inc > 1: s = int(v/(1000000000/d))/d if s*d == int(s)*d: s =","'endFunction\\n' print >>self.fout, '19 { 0 0 0 setrgbcolor } plotSymbolsC\\n' return y1","1800 self.ySize = 900 shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname, 'a') self.flog = open(logFile,","'%\\n% Plot '+id+'\\n%\\n' print >>self.fout, '/xfix { ', self.x0 - self.xInc - self.xOffset,'","'/dev/null' #logFile = 'plot.log' #--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) # class PsPlot(object):","self.xDict = {} self.y1Inc = 0 self.y1Count = 0 self.y1LogScale = 0 self.y2Inc","[] t2List = [] sList = [] indx = 0 for s in","r self.colors[indx][1] = g self.colors[indx][2] = b return rv #--- outputPS(string) # def","]' print >>self.fout, '('+xtitle+')\\n('+ytitle+')\\naxes\\n' print >>self.fout, self.xGrid, self.yGrid, ' grid\\n' print >>self.fout, '/ymtitle","= ysize return #--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ', level,","ff *= 0.10 vMin *= 10 vMax *= 10 v0 = int(vMin) v1","[ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ]","v1: vList.append(self.ValueConvert(v,0)) v *= 10 if v0 > 1: logOffset -= (math.log10(v0) -","in zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]') if ztitle != '': print >>self.fout, '('+ztitle+')","< 1: logOffset += 1 t += 1 v0 = math.pow(10,math.floor(v0Log)+1) v1 =","v1 % vInc != 0: v1 = int(v1/vInc)*vInc + vInc if (v0 %","xList, yList, zList, id, type) # def PlotData(self, axis, xList, yList, zList, id,","= [0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if len(sys.argv) == 2: fname = sys.argv[1] elif","endFun+type+'\\nbeginFunction\\n' print >>self.fout, x print >>self.fout, endFun, type, '\\n' return #--- PlotData(axis, xList,","self.fout = open(self.fname, 'a') self.flog = open(logFile, 'a') # self.flog = open('./psPlot.out', 'a')","[fname]' sys.exit(1) print 'tMin,tMax: ', tMin, tMax, 'fname: ', fname p = PsPlot('./p',","nextGraph3v } def' elif plotsPerPage == 2: print >>self.fout, '/doGraph { graph2v }","in toStateList: if s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx +=","= 0 v = v0 vList = [] n = 0 while True:","self.pageHeader != '': print >>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader != '': print >>self.fout,","if self.xUniform == True: print >>self.fout, g_indx, y, z else: print >>self.fout, x,","inputList = inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t = int(inputList[2]) if","= {} k = 1 for x in xList: self.xDict[x] = k k=k+1","nextGraph2v } def' else: print >>self.fout, '/doGraph { graph1v } def' print >>self.fout,","(',vEnd,')' print >>self.flog, 'vList: ', vList print >>self.flog, 'logFlag: ', logFlag, ' fix:","float(zss)*factor/10.0 k = 2 while k < 10: print >>self.fout, self.xCount, k*y k","<= v1: vList.append(self.ValueConvert(v,0)) v *= 10 if v0 > 1: logOffset -= (math.log10(v0)","and (v0 % m) != 0: v0 = int(v0 / m) * m","self.xCount, k*y k += 1 print >>self.fout, 'endFunction\\n' print >>self.fout, '18 { 0.72","zList: factor = 1 if zs[-1:] == 'K': zss = zs[:-1] factor =","v0 + n*vi fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' print >>self.flog,","= 0 self.y2Inc = 0 self.y2Count = 0 self.y2LogScale = 0 self.xOffset =",">>self.fout, '/plotNumPercentDir 1 def\\n' else: print >>self.fout, '/plotNumPercentDir 0 def\\n' return #--- SetPlotYLogScale(axis,value)","int(v*d)/d if s*d == int(s)*d: s = int(s) r = str(s) else: r","# def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\n\\nnextGraph\\n1 setlinewidth\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0","if self.plotsPerPage == 1: # size = ' -g1200x550 ' size = '","output return self.foutPath+self.foutName+'.jpg' #--- Main # def main(): tMin = 0 tMax =","if s*d == int(s)*d: s = int(s) r = str(s) + 'K' elif","' div ', 0.0,' add } def\\n' if axis == 2: print >>self.fout,","print >>self.fout, '18 { 0.72 0.52 0.5 setrgbcolor } plotSymbolsC\\n' return rv #---",">>self.fout, '/doGraph { graph3v } def' print >>self.fout, '/nextGraph { nextGraph3v } def'",">>self.fout, '/doGraph { graph4v } def' print >>self.fout, '/nextGraph { nextGraph4v } def'","' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+' -c quit' # cmdStr = gsPath +","xi self.xCount = len(xList) self.xList = xList self.xDict = {} k = 1","print >>self.fout, g_indx, y, z else: print >>self.fout, x, y, z if (indx","vEnd, vInc, logFlag) # def GetAxis(self, vBeg, vEnd, vInc, logFlag): fix = '{","v = v0 + n*vi fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }'","0) and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' print >>self.fout, x","10.0 else: d = 10.0 if d == 1 and float(v)/inc > 1.0:","= xlen print >>self.fout, '/xAxisLen %.2f def' % self.xLen print >>self.fout, 'doGraph' return","1 elif w <= 20: vInc = 2 else: m = 10 while",">>self.fout, self.xGrid, self.yGrid, ' grid\\n' print >>self.fout, '/ymtitle ypos ylen add 10 add","while t < 1: logOffset += 1 t += 1 v0 = math.pow(10,math.floor(v0Log)+1)","== 0: return print >>self.fout, '('+self.seriesTitle+')' while indx >= 0: if names[indx] !=","indx: continue z = zList[indx] else: z = '' indx += 1 if","(indx % 1000) == 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' if self.xUniform == True: print","lines in title are separated by '|' print >>self.flog, 'Main Title: '+title titleLines","SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\n\\nnextGraph\\n1 setlinewidth\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 =","'/doGraph { graph3v } def' print >>self.fout, '/nextGraph { nextGraph3v } def' elif","= '/yfix '+fix+' def\\n/yinc yinc2 def' print >>self.fout, 'axpos axlen add aypos aylen'","if d == 0: d = 10.0 else: d = 10.0 if d","= [] sList = [] indx = 0 for s in toStateList: if","add aypos aylen' self.fout.write('[ ') for z in zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]')","v1 = len(vList) vi = 1 fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div","= '/yfix '+fix+' def\\n /yinc yinc1 def' print >>self.fout, self.yfix1 print >>self.fout, '[","= len(zList) print >>self.fout, '/Flag2Yaxes 1 def' self.yfix2 = '/yfix '+fix+' def\\n/yinc yinc2","!= None: print >>self.fout, '('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx -=","10 if v0 > 1: logOffset -= (math.log10(v0) - 1) # substract 1","10 while w/m > 100: m *= 10 if (v0 >= 0) and","SetXLen(xlen) def SetXLen(self, xlen): self.xLen = xlen print >>self.fout, '/xAxisLen %.2f def' %","= [] toStateList = [] time1List = [] time2List = [] indx =","= pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1 = '' self.yfix2 = '' self.xGrid =","or v1 % vInc != 0: if v1 % vInc != 0: v1","1000 elif zs[-1:] == 'M': zss = zs[:-1] factor = 1000000 else: zss","return rv #--- outputPS(string) # def outputPS(self, s): print >>self.fout, s #--- SeriesNames(names)","} def' else: print >>self.fout, '/doGraph { graph1v } def' print >>self.fout, '/nextGraph","else: # print >>self.fout, '/yfix { 0 add } def\\n' print >>self.fout, 'beginFunction\\n'","(1200 * self.xLen)) yres = int(110 * self.ySize / 550) res = '","%.2f def' % self.xLen print >>self.fout, 'doGraph' return #--- SetXSize(xsize) def SetXSize(self, xsize):","titleLines = title.split('|') for t in titleLines: if len(t) > 0: print >>self.flog,","random import os.path import shutil import commands import types import math #gsPath =",">>self.fout, '[ ' for x in xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\n[ ') for","sList = [] indx = 0 for s in toStateList: if s ==",">= 1: s = int(v*d)/d if s*d == int(s)*d: s = int(s) r","*= 10 # w = int(w/f) v0 = int(v0/f) v1 = int(v1/f) if","'/Helvetica findfont 12 scalefont setfont' if self.pageHeader != '': print >>self.fout, '(',self.pageHeader,') show'","','') inputLine = inputLine.replace(\"'\", '') i1 = inputLine.find('(') i2 = inputLine.find(')') inputList =","d = 10.0 if v >= 1000000000 and inc > 1: s =","} ' return rv #--- GetColorIndx(indx) # def GetColorIndx(self, indx): color = self.colors[indx","print >>self.fout, 'showpage\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage == 1: # size = '","ifelse }' else: logFlag = 0 v = v0 vList = [] n","= 6.5 #inches self.seriesTitle = ' ' self.x0 = 0 self.xInc = 0","# xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc","sys.argv[3] elif len(sys.argv) != 1: print 'USAGE: psPlot.py [tMin tMax] [fname]' sys.exit(1) print",">>self.fout, x, y, z print >>self.fout, endFun, type, '\\n' return #--- GetImage() #","self.y2Inc = 0 self.y2Count = 0 self.y2LogScale = 0 self.xOffset = 0 self.colors","logFlag = 0 else: if vInc == 0: v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0","if axis == 2: print >>self.fout, self.yfix2 elif axis == 1: print >>self.fout,","} def' print >>self.fout, '/nextGraph { nextGraph3v } def' elif plotsPerPage == 2:","% f) != 0 and vMax == v1: v1 += 1 w =","'('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx -= 1 print >>self.fout, 'fdescriptionsC'","self.xUniform == True: print >>self.fout, g_indx, y, z else: print >>self.fout, x, y,","', logFlag, ' fix: ', fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self, xlen):","10: print >>self.fout, self.xCount, k*y k += 1 print >>self.fout, 'endFunction\\n' print >>self.fout,","if indx != 0 and t >= tMin and t <= tMax: fromStateList.append(s1)","if len(yList) <= indx: continue y = yList[indx] if isinstance(zList,list): if len(zList) <=","0 or v1 % vInc != 0: if v1 % vInc != 0:","self.yfix2 print >>self.fout, 'beginFunction\\n' for zs in zList: factor = 1 if zs[-1:]","self.x0 = x0 self.xInc = xi self.xCount = len(xList) self.xList = xList self.xDict","v0 = int(v0 / m) * m if (v1 % m) != 0:","1 v0 = math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList = []","print >>self.fout, '\\n\\nnextGraph\\n1 setlinewidth\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc = xi","int(s) r = str(s) + 'G' elif v >= 1000000 and inc >","m if (v1 % m) != 0: v1 = int(v1 / m) *","# if (vMax/f)%vInc != 0 or v1 % vInc != 0: if v1","indx += 1 if self.xUniform == True: g_indx = self.xDict[x] print >>self.fout, g_indx,","+ s*0.20) indx += 1 p.PlotData(1,t1List, t2List, sList, 'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+'","if v1 % vInc != 0: v1 = int(v1/vInc)*vInc + vInc if (v0","'+str(vi)+' div }' print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog, 'vList: ',","from gs command: ', output return self.foutPath+self.foutName+'.jpg' #--- Main # def main(): tMin","+ ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+' -c quit' # cmdStr = gsPath","len(xList)-1: continue if len(yList) <= indx: continue y = yList[indx] if isinstance(zList,list): if","self.yfix2 = '' self.xGrid = 1 self.yGrid = 1 self.xUniform = False self.xLen","s): print >>self.fout, s #--- SeriesNames(names) # def SeriesNames(self, names): indx = len(names)","titleLines: if len(t) > 0: print >>self.flog, ' '+t print >>self.fout, '('+t+')\\n' print","10.0 if v >= 1000000000 and inc > 1: s = int(v/(1000000000/d))/d if","print >>self.fout, '/plotNumPercentDir 0 def\\n' return #--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if value","'/plotNumPercentDir 1 def\\n' else: print >>self.fout, '/plotNumPercentDir 0 def\\n' return #--- SetPlotYLogScale(axis,value) #","t <= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime = t indx += 1","== 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' if self.xUniform == True: print >>self.fout, g_indx, y,","v1 = int(v1 / m) * m + m w = v1 -","ys[-1:] == 'M': yss = ys[:-1] factor = 1000000 else: yss = ys","-dNOPAUSE -r100x100 '+self.fname+' -c quit' print >>flog, 'cmdStr: ', cmdStr output = commands.getoutput(cmdStr)","w <= 20: vInc = 2 else: m = 10 while w/m >","'\\n' return #--- PlotData(axis, xList, yList, zList, id, type) # def PlotData(self, axis,",">>self.fout, endFun, type, '\\n' return #--- PlotData(axis, xList, yList, zList, id, type) #","self.xDict[x] = k k=k+1 print >>self.fout, '/xfix ', fix, ' def\\n' (y0,y1,yi,yList,fix,logFlag) =","else: print >>self.fout, '/doGraph { graph1v } def' print >>self.fout, '/nextGraph { nextGraph1v","= inputLine.replace(' ','') inputLine = inputLine.replace(\"'\", '') i1 = inputLine.find('(') i2 = inputLine.find(')')","def\\n/yinc yinc2 def' print >>self.fout, 'axpos axlen add aypos aylen' self.fout.write('[ ') for","'endFunction\\n' indx = 0 for x in xList: if x == ' '","while w/f >= 100: f *= 10 # w = int(w/f) v0 =","*= 10 if v0 > 1: logOffset -= (math.log10(v0) - 1) # substract","self.y1LogScale = v else: self.y2LogScale = v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title):","10 if (v0 >= 0) and (v0 % m) != 0: v0 =","}' print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog, 'vList: ', vList print","<= 10: vInc = 1 elif w <= 20: vInc = 2 else:","0 self.colors = [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5),","' ' and indx == len(xList)-1: continue indx += 1 print >>self.fout, x,","m) * m + m w = v1 - v0 if w <=","and t < 0: t += 1 logOffset = 0 while t <","} def' elif plotsPerPage == 3: print >>self.fout, '/doGraph { graph3v } def'","sys import random import os.path import shutil import commands import types import math","0 oldTime = 0 fin = open(fname, 'r') for inputLine in fin: inputLine","= title.split('|') for t in titleLines: if len(t) > 0: print >>self.flog, '","def main(): tMin = 0 tMax = 100000 stateList = [0,1,2,2,3,3,3,3,4] fname =","self.xInc = xi self.xCount = len(xList) self.xList = xList self.xDict = {} k",">= tMin and t <= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime = t","y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag)","if len(t) > 0: print >>self.flog, ' '+t print >>self.fout, '('+t+')\\n' print >>self.fout,","w = int(w/f) v0 = int(v0/f) v1 = int(v1/f) if (vMin % f)","size = ' -g1200x1100 ' cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100","vInc #--- ValueConvert(v) # def ValueConvert(self, v, inc): if inc > 0: logInc","if value == 'Vertical': print >>self.fout, '/plotNumPercentDir 1 def\\n' else: print >>self.fout, '/plotNumPercentDir","import os.path import shutil import commands import types import math #gsPath = '/usr/local/bin/gs'","1: print >>self.fout, 'beginFunction\\n' for ys in yList: factor = 1 if ys[-1:]",">>self.fout, '/plotBgLevel ', level, 'def\\n' return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value ==","import math #gsPath = '/usr/local/bin/gs' gsPath = 'gs' logFile = '/dev/null' #logFile =","return #--- SetYSize(ysize) def SetYSize(self, ysize): self.ySize = ysize return #--- SetPlotBgLevel(level) #","= stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t = int(inputList[2]) if indx != 0 and","self.pageSubHeader != '': print >>self.fout, '40 726 moveto\\n (',self.pageSubHeader,') show' print >>self.fout, 'showpage\\n}","if (indx != 0) and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n'","(vMax/f)%vInc != 0 or v1 % vInc != 0: if v1 % vInc","1: print >>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\n' for zs in zList: factor =","'Time', 'Socket/State', 'Chavey\\'s Plot') state = 0 while state <= 4: t1List =","print >>self.fout, '('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx -= 1 print","= gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+' -c quit' # cmdStr","self.fout.write('('+str(z)+') ') self.fout.write(' ]') if ztitle != '': print >>self.fout, '('+ztitle+') vaxis2' if","# print >>self.fout, '('+title+')\\nMtitles\\n' if logFlag == 1: print >>self.fout, 'beginFunction\\n' for ys","', yList print >>self.fout, '%\\n% Plot '+id+'\\n%\\n' print >>self.fout, '/xfix { ', self.x0","> vEnd: break n += 1 v = v0 + n*vi fix =","outputPS(string) # def outputPS(self, s): print >>self.fout, s #--- SeriesNames(names) # def SeriesNames(self,","= int(s) r = str(s) + 'G' elif v >= 1000000 and inc","indx): color = self.colors[indx % self.colorsN] rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+","commands import types import math #gsPath = '/usr/local/bin/gs' gsPath = 'gs' logFile =","v1 - v0 if w == 0: v1 = v0 + 1 w","GetAxis(vBeg, vEnd, vInc, logFlag) # def GetAxis(self, vBeg, vEnd, vInc, logFlag): fix =","0: logInc = int(math.log10(v/inc)) d = math.pow(10,logInc) if d == 0: d =","' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\ ' setrgbcolor } ' return rv #---","* m if (v1 % m) != 0: v1 = int(v1 / m)","else: if vInc == 0: v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0 = vBeg v1","isinstance(zList,list): if len(zList) <= indx: continue z = zList[indx] else: z = ''","print >>self.fout, endFun, type, '\\n' return #--- PlotData(axis, xList, yList, zList, id, type)","= open(logFile, 'a') # self.flog = open('./psPlot.out', 'a') if plotsPerPage == 4: print","!= '': print >>self.fout, '('+ztitle+') vaxis2' if logFlag == 1: print >>self.fout, self.yfix2","= gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' print >>flog, 'cmdStr:","'\\n\\nnextGraph\\n1 setlinewidth\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc = xi self.xCount =","elif v >= 1000 and inc > 1: s = int(v/(1000/d))/d if s*d","self.fout.write(' ]') if ztitle != '': print >>self.fout, '('+ztitle+') vaxis2' if logFlag ==","sys.argv[1] elif len(sys.argv) == 3: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) elif len(sys.argv)","= self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count = len(zList) print >>self.fout,","z = zList[indx] else: z = '' indx += 1 if self.xUniform ==",">>self.fout, '40 726 moveto\\n (',self.pageSubHeader,') show' print >>self.fout, 'showpage\\n} bind def' print >>self.fout,","{} self.y1Inc = 0 self.y1Count = 0 self.y1LogScale = 0 self.y2Inc = 0","k < 10: print >>self.fout, 0, k*y k += 1 print >>self.fout, 'endFunction\\n'","900 shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname, 'a') self.flog = open(logFile, 'a') # self.flog","= v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\n\\nnextGraph\\n1 setlinewidth\\n' (x0,x1,xi,xList,fix,logFlag)","tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime = t indx += 1 p.SetPlot(tMin, tMax,","= int(v0/vInc)*vInc v0 += vInc v0 *= (f*ff) v1 *= (f*ff) vInc *=","int(sys.argv[2]) elif len(sys.argv) == 4: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) fname =","self.foutPath = os.path.dirname(fname)+'/' if self.foutPath == '/': self.foutPath = '' self.foutName = os.path.basename(fname)","self.xLen = 6.5 #inches self.seriesTitle = ' ' self.x0 = 0 self.xInc =","yss = ys y = float(yss)*factor/10.0 k = 2 while k < 10:","= self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc = xi self.xCount = len(xList) self.xList =","vInc == 0: v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0 = vBeg v1 = vEnd","rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\ ' setrgbcolor } ' return","xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count = len(zList)","sys.stdout) state += 1 image = p.GetImage(sys.stdout) print 'Image file: ', image p.End()","logFile = '/dev/null' #logFile = 'plot.log' #--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) #","== 3: print >>self.fout, '/doGraph { graph3v } def' print >>self.fout, '/nextGraph {","= (1,1,1) self.ColorBlack = (0,0,0) self.xSize = 1800 self.ySize = 900 shutil.copy('plot-header.ps', self.fname)","v <= v1: vList.append(self.ValueConvert(v,0)) v *= 10 if v0 > 1: logOffset -=","print >>self.fout, '/ymtitle ypos ylen add 10 add def\\n' # Multiple lines in","fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self, xlen): self.xLen = xlen print >>self.fout,","float(yss)*factor/10.0 k = 2 while k < 10: print >>self.fout, 0, k*y k","v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\n\\nnextGraph\\n1 setlinewidth\\n' (x0,x1,xi,xList,fix,logFlag) =","' '+t print >>self.fout, '('+t+')\\n' print >>self.fout, 'Mtitles\\n' # print >>self.fout, '('+title+')\\nMtitles\\n' if","!= 0 and t >= tMin and t <= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime)","and (vEnd/vBeg > 100))): v0 = vBeg v1 = vEnd logFlag = 1","ff = 1.0 while vMax <= 1 and vMax > 0: ff *=","> 1.0: d = 10.0 if v >= 1000000000 and inc > 1:","print >>self.fout, 'beginFunction\\n' if isinstance(zList,list): endFun = 'endFunctionW\\n' else: endFun = 'endFunction\\n' indx","while vMax <= 1 and vMax > 0: ff *= 0.10 vMin *=","'beginFunction\\n' endFun = 'endFunction\\n' indx = 0 for x in xList: if x","substract 1 from above inside parent? fix = '{ dup 0 eq {","def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ', level, 'def\\n' return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value):","' yList: ', yList print >>self.fout, '%\\n% Plot '+id+'\\n%\\n' print >>self.fout, '/xfix {","f) != 0 and vMax == v1: v1 += 1 w = v1",">>self.fout, '%\\n% Plot '+id+'\\n%\\n' print >>self.fout, '/xfix { ', self.x0 - self.xInc -","level, 'def\\n' return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value == 'Vertical': print >>self.fout,","plotsPerPage self.yfix1 = '' self.yfix2 = '' self.xGrid = 1 self.yGrid = 1","', output return self.foutPath+self.foutName+'.jpg' #--- Main # def main(): tMin = 0 tMax","> 1: s = int(v/(1000000/d))/d if s*d == int(s)*d: s = int(s) r","Multiple lines in title are separated by '|' print >>self.flog, 'Main Title: '+title","print >>self.fout, '/nextGraph { nextGraph4v } def' elif plotsPerPage == 3: print >>self.fout,","{ nextGraph1v } def' print >>self.fout, '/showpage {\\n 40 742 moveto' print >>self.fout,","vInc if (v0 % vInc) != 0: v0 = int(v0/vInc)*vInc v0 += vInc","'[ ' for x in xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\n[ ') for y","'/xfix { ', self.x0 - self.xInc - self.xOffset,' sub ', self.xInc, ' div","title are separated by '|' print >>self.flog, 'Main Title: '+title titleLines = title.split('|')",">>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog, 'vList: ', vList print >>self.flog, 'logFlag:","m/2 else: vInc = m else: vInc = m # if (vMax/f)%vInc !=","print >>self.fout, 'Mtitles\\n' # print >>self.fout, '('+title+')\\nMtitles\\n' if logFlag == 1: print >>self.fout,","= v0 + 1 w = 1 while w/f >= 100: f *=","float(v)/inc > 1.0: d = 10.0 if v >= 1000000000 and inc >","s = int(s) r = str(s) + 'K' elif v >= 1: s","if x == ' ' and indx == len(xList)-1: continue if len(yList) <=",">>self.flog, 'Main Title: '+title titleLines = title.split('|') for t in titleLines: if len(t)","SetColorIndx(indx, r, g, b) # def SetColorIndx(self, indx, r, g, b): self.colors[indx][0] =","if w <= 5*m: vInc = m/2 else: vInc = m else: vInc","class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) # class PsPlot(object): def __init__(self, fname, pageHeader, pageSubHeader,","quit' # cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit'","xList, yList, zList, id, type): flog = self.flog print >>flog, 'graph xList: ',","'SubHeader', 1) fromStateList = [] toStateList = [] time1List = [] time2List =","'fdescriptionsC' #--- PlotVBars(xList, type) # def PlotVBars(self, xList, type): flog = self.flog print","if vInc == 0: v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0 = vBeg v1 =","self.xCount = 0 self.xList = [] self.xDict = {} self.y1Inc = 0 self.y1Count","fix = '{ dup 0 eq { } { log '+str(logOffset)+' add }","0, 0, 2, 0, 'Time', 'Socket/State', 'Chavey\\'s Plot') state = 0 while state","'('+xtitle+')\\n('+ytitle+')\\naxes\\n' print >>self.fout, self.xGrid, self.yGrid, ' grid\\n' print >>self.fout, '/ymtitle ypos ylen add","vList = [] v = v0 while v <= v1: vList.append(self.ValueConvert(v,0)) v *=","in title are separated by '|' print >>self.flog, 'Main Title: '+title titleLines =","1 def\\n' else: print >>self.fout, '/plotNumPercentDir 0 def\\n' return #--- SetPlotYLogScale(axis,value) # def","int(v/(1000000000/d))/d if s*d == int(s)*d: s = int(s) r = str(s) + 'G'","'+str(vi)+' div }' logFlag = 0 else: if vInc == 0: v0,v1,vi =","v, inc): if inc > 0: logInc = int(math.log10(v/inc)) d = math.pow(10,logInc) if","zs[:-1] factor = 1000 elif zs[-1:] == 'M': zss = zs[:-1] factor =","self.y1Count = len(yList) self.yfix1 = '/yfix '+fix+' def\\n /yinc yinc1 def' print >>self.fout,","xList self.xDict = {} k = 1 for x in xList: self.xDict[x] =","SetXSize(self, xsize): self.xSize = xsize return #--- SetYSize(ysize) def SetYSize(self, ysize): self.ySize =","= v else: self.y2LogScale = v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print","t < 1: logOffset += 1 t += 1 v0 = math.pow(10,math.floor(v0Log)+1) v1","1 def' self.yfix2 = '/yfix '+fix+' def\\n/yinc yinc2 def' print >>self.fout, 'axpos axlen","print >>self.fout, '/yfix { 0 add } def\\n' print >>self.fout, 'beginFunction\\n' if isinstance(zList,list):","print >>self.fout, '/Flag2Yaxes 1 def' self.yfix2 = '/yfix '+fix+' def\\n/yinc yinc2 def' print","t = math.ceil(v0Log) ff = math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t <","vMax) def GetInc(self,vMin, vMax): ff = 1.0 while vMax <= 1 and vMax","value == 'Vertical': print >>self.fout, '/plotNumPercentDir 1 def\\n' else: print >>self.fout, '/plotNumPercentDir 0","s #--- SeriesNames(names) # def SeriesNames(self, names): indx = len(names) - 1 if","1 from above inside parent? fix = '{ dup 0 eq { }","== 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' print >>self.fout, x print >>self.fout, endFun, type, '\\n'","= yList[indx] if isinstance(zList,list): if len(zList) <= indx: continue z = zList[indx] else:","SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ', level, 'def\\n' return #--- SetPlotPercentDir(value)","int(v/(1000000/d))/d if s*d == int(s)*d: s = int(s) r = str(s) + 'M'","logFlag == 1: print >>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\n' for zs in zList:","add } def\\n' print >>self.fout, 'beginFunction\\n' if isinstance(zList,list): endFun = 'endFunctionW\\n' else: endFun","factor = 1000000 else: yss = ys y = float(yss)*factor/10.0 k = 2","else: vInc = m else: vInc = m # if (vMax/f)%vInc != 0","self.y1Inc = 0 self.y1Count = 0 self.y1LogScale = 0 self.y2Inc = 0 self.y2Count","self.xLen print >>self.fout, 'doGraph' return #--- SetXSize(xsize) def SetXSize(self, xsize): self.xSize = xsize","'Main Title: '+title titleLines = title.split('|') for t in titleLines: if len(t) >","#--- SetXSize(xsize) def SetXSize(self, xsize): self.xSize = xsize return #--- SetYSize(ysize) def SetYSize(self,",">>flog, 'output from gs command: ', output return self.foutPath+self.foutName+'.jpg' #--- Main # def","__init__(self, fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if self.foutPath == '/': self.foutPath","'/doGraph { graph2v } def' print >>self.fout, '/nextGraph { nextGraph2v } def' else:",">>self.fout, endFun+type+'\\nbeginFunction\\n' print >>self.fout, x print >>self.fout, endFun, type, '\\n' return #--- PlotData(axis,","*= 10 if (v0 >= 0) and (v0 % m) != 0: v0","' xList: ', xList, \\ ' yList: ', yList print >>self.fout, '%\\n% Plot","-r100x100 '+self.fname+' -c quit' else: size = ' -g1200x1100 ' cmdStr = gsPath","len(sys.argv) != 1: print 'USAGE: psPlot.py [tMin tMax] [fname]' sys.exit(1) print 'tMin,tMax: ',","in yList: self.fout.write('('+str(y)+') ') print >>self.fout, ' ]' print >>self.fout, '('+xtitle+')\\n('+ytitle+')\\naxes\\n' print >>self.fout,","(z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count = len(zList) print >>self.fout, '/Flag2Yaxes 1",">>self.fout, 'beginFunction\\n' if isinstance(zList,list): endFun = 'endFunctionW\\n' else: endFun = 'endFunction\\n' indx =","self.xList, ' xList: ', xList, \\ ' yList: ', yList print >>self.fout, '%\\n%","+= 1 v0 = math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList =","separated by '|' print >>self.flog, 'Main Title: '+title titleLines = title.split('|') for t","= self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi self.y1Count = len(yList) self.yfix1 = '/yfix '+fix+'","and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' if self.xUniform == True:","indx += 1 print >>self.fout, x, 0.0 if (indx != 0) and (indx","for ys in yList: factor = 1 if ys[-1:] == 'K': yss =","2: print >>self.fout, '/doGraph { graph2v } def' print >>self.fout, '/nextGraph { nextGraph2v","v >= 1000000 and inc > 1: s = int(v/(1000000/d))/d if s*d ==","0 for x in xList: if x == ' ' and indx ==","', self.xInc, ' div ', 0.0,' add } def\\n' if axis == 2:","pageHeader, pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if self.foutPath == '/': self.foutPath = ''","1 if ys[-1:] == 'K': yss = ys[:-1] factor = 1000 elif ys[-1:]","t = int(inputList[2]) if indx != 0 and t >= tMin and t","vList = vBeg vList.append(' ') self.xUniform = True v0 = 1 v1 =","(0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN = 11 self.colorRed = (0.8,0,0) self.colorGreen =","SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale)","x, y, z print >>self.fout, endFun, type, '\\n' return #--- GetImage() # def","= [] indx = 0 oldTime = 0 fin = open(fname, 'r') for","\\ ' setrgbcolor } ' return rv #--- GetColorIndx(indx) # def GetColorIndx(self, indx):","int(s)*d: s = int(s) r = str(s) + 'G' elif v >= 1000000","!= '': print >>self.fout, '40 726 moveto\\n (',self.pageSubHeader,') show' print >>self.fout, 'showpage\\n} bind","' and indx == len(xList)-1: continue if len(yList) <= indx: continue y =","self.colors[indx][1] = g self.colors[indx][2] = b return rv #--- outputPS(string) # def outputPS(self,","value == 'Off': v = -1 elif value == 'On': v = 1","else: yss = ys y = float(yss)*factor/10.0 k = 2 while k <","1: print >>self.fout, self.yfix1 # else: # print >>self.fout, '/yfix { 0 add","= int(100 * self.xSize * 6.5 / (1200 * self.xLen)) yres = int(110","(0.8,0.0,0.0), (0,0,0) ] self.colorsN = 11 self.colorRed = (0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue","stateList = [0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if len(sys.argv) == 2: fname = sys.argv[1]","elif v >= 1000000 and inc > 1: s = int(v/(1000000/d))/d if s*d","int(s)*d: s = int(s) r = str(s) else: r = str(int(v*100)/100.0) return r","id, type) # def PlotData(self, axis, xList, yList, zList, id, type): flog =","'/yfix '+fix+' def\\n /yinc yinc1 def' print >>self.fout, self.yfix1 print >>self.fout, '[ '","grid\\n' print >>self.fout, '/ymtitle ypos ylen add 10 add def\\n' # Multiple lines","open(fname, 'r') for inputLine in fin: inputLine = inputLine.replace(' ','') inputLine = inputLine.replace(\"'\",","t < 0: t += 1 logOffset = 0 while t < 1:","k=k+1 print >>self.fout, '/xfix ', fix, ' def\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc","s = int(s) r = str(s) + 'M' elif v >= 1000 and","math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t < 0: t += 1 logOffset = 0","', vList print >>self.flog, 'logFlag: ', logFlag, ' fix: ', fix return v0,v1,vi,vList,fix,logFlag","vInc v0 *= (f*ff) v1 *= (f*ff) vInc *= (f*ff) return v0, v1,","'': print >>self.fout, '40 726 moveto\\n (',self.pageSubHeader,') show' print >>self.fout, 'showpage\\n} bind def'","= {} self.y1Inc = 0 self.y1Count = 0 self.y1LogScale = 0 self.y2Inc =","def' elif plotsPerPage == 2: print >>self.fout, '/doGraph { graph2v } def' print","= int(v0 / m) * m if (v1 % m) != 0: v1","n += 1 v = v0 + n*vi fix = '{ '+str(v0-vi)+' sub","def' print >>self.fout, '/nextGraph { nextGraph4v } def' elif plotsPerPage == 3: print","if (v1 % m) != 0: v1 = int(v1 / m) * m","indx == len(xList)-1: continue indx += 1 print >>self.fout, x, 0.0 if (indx","0) and (v0 % m) != 0: v0 = int(v0 / m) *","= int(s) r = str(s) + 'M' elif v >= 1000 and inc","self.colorsN] rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\ ' setrgbcolor } '","self.x0 - self.xInc - self.xOffset,' sub ', self.xInc, ' div ', 0.0,' add","> 1: s = int(v/(1000000000/d))/d if s*d == int(s)*d: s = int(s) r","# def SetColorIndx(self, indx, r, g, b): self.colors[indx][0] = r self.colors[indx][1] = g","math.pow(10,logInc) if d == 0: d = 10.0 else: d = 10.0 if","v *= 10 if v0 > 1: logOffset -= (math.log10(v0) - 1) #","= int(v0/f) v1 = int(v1/f) if (vMin % f) != 0 and vMax","= 1.0 while vMax <= 1 and vMax > 0: ff *= 0.10","') print >>self.fout, ' ]' print >>self.fout, '('+xtitle+')\\n('+ytitle+')\\naxes\\n' print >>self.fout, self.xGrid, self.yGrid, '","s = int(s) r = str(s) else: r = str(int(v*100)/100.0) return r #---","inputLine = inputLine.replace(\"'\", '') i1 = inputLine.find('(') i2 = inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',')",">>self.flog, 'vList: ', vList print >>self.flog, 'logFlag: ', logFlag, ' fix: ', fix","len(xList)-1: continue indx += 1 print >>self.fout, x, 0.0 if (indx != 0)","') self.fout.write(' ]\\n[ ') for y in yList: self.fout.write('('+str(y)+') ') print >>self.fout, '","' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' else: size = ' -g1200x1100 '","main(): tMin = 0 tMax = 100000 stateList = [0,1,2,2,3,3,3,3,4] fname = 'sched.txt'","int(v1/f) if (vMin % f) != 0 and vMax == v1: v1 +=","are separated by '|' print >>self.flog, 'Main Title: '+title titleLines = title.split('|') for","#--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) =","s = int(v*d)/d if s*d == int(s)*d: s = int(s) r = str(s)","= math.pow(10,logInc) if d == 0: d = 10.0 else: d = 10.0","1 v0Log = math.log10(v0) t = math.ceil(v0Log) ff = math.modf(v0Log) if math.fabs(ff[0]) <","vInc) != 0: v0 = int(v0/vInc)*vInc v0 += vInc v0 *= (f*ff) v1","open('./psPlot.out', 'a') if plotsPerPage == 4: print >>self.fout, '/doGraph { graph4v } def'",">>self.fout, '/nextGraph { nextGraph3v } def' elif plotsPerPage == 2: print >>self.fout, '/doGraph","vEnd logFlag = 1 v0Log = math.log10(v0) t = math.ceil(v0Log) ff = math.modf(v0Log)","t += 1 v0 = math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList","self.colorAqua = (0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack = (0,0,0) self.xSize = 1800 self.ySize","PlotData(axis, xList, yList, zList, id, type) # def PlotData(self, axis, xList, yList, zList,","= 0 tMax = 100000 stateList = [0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if len(sys.argv)","indx >= 0: if names[indx] != None: print >>self.fout, '('+names[indx]+') ' print >>self.fout,","w = v1 - v0 if w <= 5*m: vInc = m/2 else:","fix = '{ 0 add }' if isinstance(vBeg,list): vList = vBeg vList.append(' ')","self.xUniform == True: g_indx = self.xDict[x] print >>self.fout, g_indx, y, z else: print","t += 1 logOffset = 0 while t < 1: logOffset += 1","vMin *= 10 vMax *= 10 v0 = int(vMin) v1 = int(vMax+0.99) f","yres) cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+' -c quit'","indx, r, g, b): self.colors[indx][0] = r self.colors[indx][1] = g self.colors[indx][2] = b","math.ceil(v0Log) ff = math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t < 0: t","print >>self.fout, '/nextGraph { nextGraph3v } def' elif plotsPerPage == 2: print >>self.fout,","1) # substract 1 from above inside parent? fix = '{ dup 0","if logFlag == 1: print >>self.fout, 'beginFunction\\n' for ys in yList: factor =","]\\n[ ') for y in yList: self.fout.write('('+str(y)+') ') print >>self.fout, ' ]' print","v1 = int(vMax+0.99) f = 1 w = v1 - v0 if w","< 10: print >>self.fout, self.xCount, k*y k += 1 print >>self.fout, 'endFunction\\n' print","and indx == len(xList)-1: continue indx += 1 print >>self.fout, x, 0.0 if","while k < 10: print >>self.fout, self.xCount, k*y k += 1 print >>self.fout,","% m) != 0: v0 = int(v0 / m) * m if (v1","def SetColorIndx(self, indx, r, g, b): self.colors[indx][0] = r self.colors[indx][1] = g self.colors[indx][2]","sub '+str(vi)+' div }' logFlag = 0 else: if vInc == 0: v0,v1,vi","print >>self.fout, '('+ztitle+') vaxis2' if logFlag == 1: print >>self.fout, self.yfix2 print >>self.fout,","toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime = t indx += 1 p.SetPlot(tMin, tMax, 0, 0,","self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count = len(zList) print >>self.fout, '/Flag2Yaxes 1 def' self.yfix2","== '/': self.foutPath = '' self.foutName = os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader =","def\\n /yinc yinc1 def' print >>self.fout, self.yfix1 print >>self.fout, '[ ' for x","self.xUniform = False self.xLen = 6.5 #inches self.seriesTitle = ' ' self.x0 =","= open(fname, 'r') for inputLine in fin: inputLine = inputLine.replace(' ','') inputLine =","v0, v1, vInc #--- ValueConvert(v) # def ValueConvert(self, v, inc): if inc >","g, b): self.colors[indx][0] = r self.colors[indx][1] = g self.colors[indx][2] = b return rv","> 0: logInc = int(math.log10(v/inc)) d = math.pow(10,logInc) if d == 0: d","z else: print >>self.fout, x, y, z print >>self.fout, endFun, type, '\\n' return","int(v0/vInc)*vInc v0 += vInc v0 *= (f*ff) v1 *= (f*ff) vInc *= (f*ff)","v1 = int(v1/vInc)*vInc + vInc if (v0 % vInc) != 0: v0 =","self.xGrid, self.yGrid, ' grid\\n' print >>self.fout, '/ymtitle ypos ylen add 10 add def\\n'","self.ySize = ysize return #--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ',","#--- GetColorIndx(indx) # def GetColorIndx(self, indx): color = self.colors[indx % self.colorsN] rv =","os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage = plotsPerPage","1 print >>self.fout, x, 0.0 if (indx != 0) and (indx % 1000)","= 0 oldTime = 0 fin = open(fname, 'r') for inputLine in fin:",">>self.fout, '/plotNumPercentDir 0 def\\n' return #--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if value ==","SeriesNames(names) # def SeriesNames(self, names): indx = len(names) - 1 if indx ==","= 1 else: v = 0; if axis == 1: self.y1LogScale = v","return v0, v1, vInc #--- ValueConvert(v) # def ValueConvert(self, v, inc): if inc","!= '': print >>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader != '': print >>self.fout, '40","'/yfix '+fix+' def\\n/yinc yinc2 def' print >>self.fout, 'axpos axlen add aypos aylen' self.fout.write('[","return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self, xlen): self.xLen = xlen print >>self.fout, '/xAxisLen","' setrgbcolor } ' return rv #--- GetColorIndx(indx) # def GetColorIndx(self, indx): color","= (0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite =","self.yfix1 # else: # print >>self.fout, '/yfix { 0 add } def\\n' print","= 10.0 if v >= 1000000000 and inc > 1: s = int(v/(1000000000/d))/d","<= 4: t1List = [] t2List = [] sList = [] indx =","'+str(v0-vi)+' sub '+str(vi)+' div }' logFlag = 0 else: if vInc == 0:","'beginFunction\\n' for zs in zList: factor = 1 if zs[-1:] == 'K': zss","+= 1 p.SetPlot(tMin, tMax, 0, 0, 2, 0, 'Time', 'Socket/State', 'Chavey\\'s Plot') state",">>self.fout, 'endFunction\\n' print >>self.fout, '19 { 0 0 0 setrgbcolor } plotSymbolsC\\n' return","return #--- GetImage() # def GetImage(self): flog = self.flog print >>self.fout, 'showpage\\n' self.fout.flush()","v0 *= (f*ff) v1 *= (f*ff) vInc *= (f*ff) return v0, v1, vInc","= 0 self.y1Count = 0 self.y1LogScale = 0 self.y2Inc = 0 self.y2Count =","self.y1LogScale = 0 self.y2Inc = 0 self.y2Count = 0 self.y2LogScale = 0 self.xOffset","time2List = [] indx = 0 oldTime = 0 fin = open(fname, 'r')","#--- SetXLen(xlen) def SetXLen(self, xlen): self.xLen = xlen print >>self.fout, '/xAxisLen %.2f def'","v > vEnd: break n += 1 v = v0 + n*vi fix","return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value == 'Vertical': print >>self.fout, '/plotNumPercentDir 1","sub ', self.xInc, ' div ', 0.0,' add } def\\n' if axis ==",">= 1000000 and inc > 1: s = int(v/(1000000/d))/d if s*d == int(s)*d:","(vMin % f) != 0 and vMax == v1: v1 += 1 w","return #--- SetXSize(xsize) def SetXSize(self, xsize): self.xSize = xsize return #--- SetYSize(ysize) def","and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' print >>self.fout, x print","+ vInc if (v0 % vInc) != 0: v0 = int(v0/vInc)*vInc v0 +=","else: v = 0; if axis == 1: self.y1LogScale = v else: self.y2LogScale","int(v/(1000/d))/d if s*d == int(s)*d: s = int(s) r = str(s) + 'K'","'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog, 'vList: ', vList print >>self.flog, 'logFlag: ',","and t <= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime = t indx +=","= '' self.yfix2 = '' self.xGrid = 1 self.yGrid = 1 self.xUniform =","else: endFun = 'endFunction\\n' indx = 0 for x in xList: if x","#--- SetColor(color) # def SetColor(self, color): rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+","= math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList = [] v = v0 while v","# cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' else:","type): flog = self.flog print >>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\n' endFun = 'endFunction\\n'","xList: self.xDict[x] = k k=k+1 print >>self.fout, '/xfix ', fix, ' def\\n' (y0,y1,yi,yList,fix,logFlag)","{ graph4v } def' print >>self.fout, '/nextGraph { nextGraph4v } def' elif plotsPerPage","= ' -g1200x550 ' size = ' -g%dx%d ' % (self.xSize, self.ySize) xres","yList, zList, id, type) # def PlotData(self, axis, xList, yList, zList, id, type):","== int(s)*d: s = int(s) r = str(s) else: r = str(int(v*100)/100.0) return","= self.xDict[x] print >>self.fout, g_indx, y, z else: print >>self.fout, x, y, z","self.foutPath+self.foutName+'.jpg' #--- Main # def main(): tMin = 0 tMax = 100000 stateList","axis, xList, yList, zList, id, type): flog = self.flog print >>flog, 'graph xList:","v0 if w <= 5*m: vInc = m/2 else: vInc = m else:","div }' logFlag = 0 else: if vInc == 0: v0,v1,vi = self.GetInc(vBeg,vEnd)","= int(v1/vInc)*vInc + vInc if (v0 % vInc) != 0: v0 = int(v0/vInc)*vInc","def\\n' return #--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if value == 'Off': v =","in xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\n[ ') for y in yList: self.fout.write('('+str(y)+') ')","0: if names[indx] != None: print >>self.fout, '('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx %","t indx += 1 p.SetPlot(tMin, tMax, 0, 0, 2, 0, 'Time', 'Socket/State', 'Chavey\\'s","'/plotBgLevel ', level, 'def\\n' return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value == 'Vertical':","yList: self.fout.write('('+str(y)+') ') print >>self.fout, ' ]' print >>self.fout, '('+xtitle+')\\n('+ytitle+')\\naxes\\n' print >>self.fout, self.xGrid,","in zList: factor = 1 if zs[-1:] == 'K': zss = zs[:-1] factor","d = math.pow(10,logInc) if d == 0: d = 10.0 else: d =","zList, id, type) # def PlotData(self, axis, xList, yList, zList, id, type): flog",">>self.fout, 'endFunction\\n' print >>self.fout, '18 { 0.72 0.52 0.5 setrgbcolor } plotSymbolsC\\n' return","4: t1List = [] t2List = [] sList = [] indx = 0","inc > 1: s = int(v/(1000/d))/d if s*d == int(s)*d: s = int(s)","rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count = len(zList) print","state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx += 1 p.PlotData(1,t1List, t2List, sList, 'Test',","} ifelse }' else: logFlag = 0 v = v0 vList = []","tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) elif len(sys.argv) == 4: tMin = int(sys.argv[1])","vMax <= 1 and vMax > 0: ff *= 0.10 vMin *= 10","factor = 1000 elif ys[-1:] == 'M': yss = ys[:-1] factor = 1000000","if len(zList) <= indx: continue z = zList[indx] else: z = '' indx","vList.append(' ') self.xUniform = True v0 = 1 v1 = len(vList) vi =","1 for x in xList: self.xDict[x] = k k=k+1 print >>self.fout, '/xfix ',","v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self, xlen): self.xLen = xlen print >>self.fout, '/xAxisLen %.2f","[] n = 0 while True: vList.append(self.ValueConvert(v,vi)) if v > vEnd: break n","s*d == int(s)*d: s = int(s) r = str(s) + 'K' elif v","= float(yss)*factor/10.0 k = 2 while k < 10: print >>self.fout, 0, k*y","print >>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\n' endFun = 'endFunction\\n' indx = 0 for","0 self.xInc = 0 self.xCount = 0 self.xList = [] self.xDict = {}","10: print >>self.fout, 0, k*y k += 1 print >>self.fout, 'endFunction\\n' print >>self.fout,",">>self.fout, self.yfix2 elif axis == 1: print >>self.fout, self.yfix1 # else: # print","{ '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\ ' setrgbcolor } ' return rv #--- GetColorIndx(indx)",">>self.fout, self.yfix1 print >>self.fout, '[ ' for x in xList: self.fout.write('('+str(x)+') ') self.fout.write('","== int(s)*d: s = int(s) r = str(s) + 'M' elif v >=","# def SeriesNames(self, names): indx = len(names) - 1 if indx == 0:","'axpos axlen add aypos aylen' self.fout.write('[ ') for z in zList: self.fout.write('('+str(z)+') ')","' fix: ', fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self, xlen): self.xLen =","return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title)","*= (f*ff) v1 *= (f*ff) vInc *= (f*ff) return v0, v1, vInc #---","type): flog = self.flog print >>flog, 'graph xList: ', self.xList, ' xList: ',","'r') for inputLine in fin: inputLine = inputLine.replace(' ','') inputLine = inputLine.replace(\"'\", '')","print >>self.fout, endFun+type+'\\nbeginFunction\\n' print >>self.fout, x print >>self.fout, endFun, type, '\\n' return #---","= int(w/f) v0 = int(v0/f) v1 = int(v1/f) if (vMin % f) !=","+= 1 p.PlotData(1,t1List, t2List, sList, 'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state","0: v1 = v0 + 1 w = 1 while w/f >= 100:","+ 'M' elif v >= 1000 and inc > 1: s = int(v/(1000/d))/d","== True: g_indx = self.xDict[x] print >>self.fout, g_indx, y, z else: print >>self.fout,","= 2 else: m = 10 while w/m > 100: m *= 10","* m + m w = v1 - v0 if w <= 5*m:","1.0: d = 10.0 if v >= 1000000000 and inc > 1: s","} def' print >>self.fout, '/showpage {\\n 40 742 moveto' print >>self.fout, '/Helvetica findfont","for x in xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\n[ ') for y in yList:","0.5 setrgbcolor } plotSymbolsC\\n' return rv #--- SetColor(color) # def SetColor(self, color): rv",">>self.fout, 'Mtitles\\n' # print >>self.fout, '('+title+')\\nMtitles\\n' if logFlag == 1: print >>self.fout, 'beginFunction\\n'","SetPlotPercentDir(self,value): if value == 'Vertical': print >>self.fout, '/plotNumPercentDir 1 def\\n' else: print >>self.fout,",">>flog, 'graph xList: ', self.xList, ' xList: ', xList, \\ ' yList: ',","flog = self.flog print >>self.fout, 'showpage\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage == 1: #","= v1 - v0 if w == 0: v1 = v0 + 1","= xi self.xCount = len(xList) self.xList = xList self.xDict = {} k =","0 self.xOffset = 0 self.colors = [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8),","time1List = [] time2List = [] indx = 0 oldTime = 0 fin","plotsPerPage == 3: print >>self.fout, '/doGraph { graph3v } def' print >>self.fout, '/nextGraph","image = p.GetImage(sys.stdout) print 'Image file: ', image p.End() if __name__ == \"__main__\":","0 while t < 1: logOffset += 1 t += 1 v0 =","s1 = stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t = int(inputList[2]) if indx != 0","(0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN = 11 self.colorRed =","*= 0.10 vMin *= 10 vMax *= 10 v0 = int(vMin) v1 =","(y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi self.y1Count = len(yList) self.yfix1 = '/yfix","= xsize return #--- SetYSize(ysize) def SetYSize(self, ysize): self.ySize = ysize return #---","tMax] [fname]' sys.exit(1) print 'tMin,tMax: ', tMin, tMax, 'fname: ', fname p =","inputLine.replace(\"'\", '') i1 = inputLine.find('(') i2 = inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1 =","') for y in yList: self.fout.write('('+str(y)+') ') print >>self.fout, ' ]' print >>self.fout,","{ nextGraph2v } def' else: print >>self.fout, '/doGraph { graph1v } def' print","!= 0) and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' if self.xUniform",">>self.fout, '('+t+')\\n' print >>self.fout, 'Mtitles\\n' # print >>self.fout, '('+title+')\\nMtitles\\n' if logFlag == 1:","sList.append(0.10 + s*0.20) indx += 1 p.PlotData(1,t1List, t2List, sList, 'Test', '0.1 in 0","== 0: v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0 = vBeg v1 = vEnd vi","= len(yList) self.yfix1 = '/yfix '+fix+' def\\n /yinc yinc1 def' print >>self.fout, self.yfix1","= int(sys.argv[1]) tMax = int(sys.argv[2]) elif len(sys.argv) == 4: tMin = int(sys.argv[1]) tMax","and (logFlag==1 or (logFlag==0 and (vEnd/vBeg > 100))): v0 = vBeg v1 =","flog = self.flog print >>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\n' endFun = 'endFunction\\n' indx","if self.pageSubHeader != '': print >>self.fout, '40 726 moveto\\n (',self.pageSubHeader,') show' print >>self.fout,","k = 1 for x in xList: self.xDict[x] = k k=k+1 print >>self.fout,","z else: print >>self.fout, x, y, z if (indx != 0) and (indx","= 0 while state <= 4: t1List = [] t2List = [] sList","1: s = int(v*d)/d if s*d == int(s)*d: s = int(s) r =","if value == 'Off': v = -1 elif value == 'On': v =","tMax = 100000 stateList = [0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if len(sys.argv) == 2:","vEnd: break n += 1 v = v0 + n*vi fix = '{","v1: v1 += 1 w = v1 - v0 if w <= 10:","scalefont setfont' if self.pageHeader != '': print >>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader !=","== int(s)*d: s = int(s) r = str(s) + 'G' elif v >=","'a') self.flog = open(logFile, 'a') # self.flog = open('./psPlot.out', 'a') if plotsPerPage ==","= self.flog print >>flog, 'graph xList: ', self.xList, ' xList: ', xList, \\","% vInc != 0: if v1 % vInc != 0: v1 = int(v1/vInc)*vInc","plotSymbolsC\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv =","elif len(sys.argv) != 1: print 'USAGE: psPlot.py [tMin tMax] [fname]' sys.exit(1) print 'tMin,tMax:","#--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\n\\nnextGraph\\n1 setlinewidth\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0","{ 0 add } def\\n' print >>self.fout, 'beginFunction\\n' if isinstance(zList,list): endFun = 'endFunctionW\\n'","vMax): ff = 1.0 while vMax <= 1 and vMax > 0: ff","+ n*vi fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' print >>self.flog, 'v0:',v0,'","for inputLine in fin: inputLine = inputLine.replace(' ','') inputLine = inputLine.replace(\"'\", '') i1","if s*d == int(s)*d: s = int(s) r = str(s) + 'M' elif","{ 0 0 0 setrgbcolor } plotSymbolsC\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title)","axlen add aypos aylen' self.fout.write('[ ') for z in zList: self.fout.write('('+str(z)+') ') self.fout.write('","ys[-1:] == 'K': yss = ys[:-1] factor = 1000 elif ys[-1:] == 'M':","'Vertical': print >>self.fout, '/plotNumPercentDir 1 def\\n' else: print >>self.fout, '/plotNumPercentDir 0 def\\n' return","graph4v } def' print >>self.fout, '/nextGraph { nextGraph4v } def' elif plotsPerPage ==","0 self.y1Count = 0 self.y1LogScale = 0 self.y2Inc = 0 self.y2Count = 0","ysize): self.ySize = ysize return #--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel","axis == 2: print >>self.fout, self.yfix2 elif axis == 1: print >>self.fout, self.yfix1","class PsPlot(object): def __init__(self, fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if self.foutPath","print >>self.fout, s #--- SeriesNames(names) # def SeriesNames(self, names): indx = len(names) -",">>self.fout, s #--- SeriesNames(names) # def SeriesNames(self, names): indx = len(names) - 1","elif v >= 1: s = int(v*d)/d if s*d == int(s)*d: s =","'a') # self.flog = open('./psPlot.out', 'a') if plotsPerPage == 4: print >>self.fout, '/doGraph","v0 = vBeg v1 = vEnd vi = vInc if vBeg > 0","'/nextGraph { nextGraph4v } def' elif plotsPerPage == 3: print >>self.fout, '/doGraph {","if isinstance(vBeg,list): vList = vBeg vList.append(' ') self.xUniform = True v0 = 1","y, z print >>self.fout, endFun, type, '\\n' return #--- GetImage() # def GetImage(self):","title.split('|') for t in titleLines: if len(t) > 0: print >>self.flog, ' '+t","self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi self.y1Count = len(yList) self.yfix1 = '/yfix '+fix+' def\\n","yinc1 def' print >>self.fout, self.yfix1 print >>self.fout, '[ ' for x in xList:","self.xInc = 0 self.xCount = 0 self.xList = [] self.xDict = {} self.y1Inc","% self.xLen print >>self.fout, 'doGraph' return #--- SetXSize(xsize) def SetXSize(self, xsize): self.xSize =","def\\n' if axis == 2: print >>self.fout, self.yfix2 elif axis == 1: print","= 10.0 else: d = 10.0 if d == 1 and float(v)/inc >","xList, \\ ' yList: ', yList print >>self.fout, '%\\n% Plot '+id+'\\n%\\n' print >>self.fout,","2, 0, 'Time', 'Socket/State', 'Chavey\\'s Plot') state = 0 while state <= 4:","self.colors[indx][0] = r self.colors[indx][1] = g self.colors[indx][2] = b return rv #--- outputPS(string)","+= 1 t += 1 v0 = math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi =","== int(s)*d: s = int(s) r = str(s) + 'K' elif v >=","import types import math #gsPath = '/usr/local/bin/gs' gsPath = 'gs' logFile = '/dev/null'","indx -= 1 print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type) # def PlotVBars(self, xList,","if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t < 0: t += 1 logOffset =","+ ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' else: size = ' -g1200x1100","= 900 shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname, 'a') self.flog = open(logFile, 'a') #","= m/2 else: vInc = m else: vInc = m # if (vMax/f)%vInc","print >>self.flog, 'vList: ', vList print >>self.flog, 'logFlag: ', logFlag, ' fix: ',","'M': zss = zs[:-1] factor = 1000000 else: zss = zs y =","== 'M': zss = zs[:-1] factor = 1000000 else: zss = zs y","0.10 vMin *= 10 vMax *= 10 v0 = int(vMin) v1 = int(vMax+0.99)","d = 10.0 else: d = 10.0 if d == 1 and float(v)/inc","self.foutPath = '' self.foutName = os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader","= 10 while w/m > 100: m *= 10 if (v0 >= 0)","'endFunctionW\\n' else: endFun = 'endFunction\\n' indx = 0 for x in xList: if","*= 10 vMax *= 10 v0 = int(vMin) v1 = int(vMax+0.99) f =","zs y = float(zss)*factor/10.0 k = 2 while k < 10: print >>self.fout,","!= 0: v1 = int(v1 / m) * m + m w =","factor = 1000000 else: zss = zs y = float(zss)*factor/10.0 k = 2","y, z if (indx != 0) and (indx % 1000) == 0: print","n*vi fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' print >>self.flog, 'v0:',v0,' vi:',vi,'","setrgbcolor } plotSymbolsC\\n' return rv #--- SetColor(color) # def SetColor(self, color): rv =","self.colorsN]) indx -= 1 print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type) # def PlotVBars(self,","PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList = [] toStateList = [] time1List = []","= int(vMin) v1 = int(vMax+0.99) f = 1 w = v1 - v0","1 and vMax > 0: ff *= 0.10 vMin *= 10 vMax *=","= 0 self.xInc = 0 self.xCount = 0 self.xList = [] self.xDict =","= gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' else: size =","'M': yss = ys[:-1] factor = 1000000 else: yss = ys y =","True: vList.append(self.ValueConvert(v,vi)) if v > vEnd: break n += 1 v = v0","self.yfix1 print >>self.fout, '[ ' for x in xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\n[","'Header', 'SubHeader', 1) fromStateList = [] toStateList = [] time1List = [] time2List","setrgbcolor } ' return rv #--- GetColorIndx(indx) # def GetColorIndx(self, indx): color =","return r #--- GetAxis(vBeg, vEnd, vInc, logFlag) # def GetAxis(self, vBeg, vEnd, vInc,","!= 0) and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' print >>self.fout,","+= 1 image = p.GetImage(sys.stdout) print 'Image file: ', image p.End() if __name__","' grid\\n' print >>self.fout, '/ymtitle ypos ylen add 10 add def\\n' # Multiple","= vBeg v1 = vEnd vi = vInc if vBeg > 0 and","= 1 self.xUniform = False self.xLen = 6.5 #inches self.seriesTitle = ' '","graph3v } def' print >>self.fout, '/nextGraph { nextGraph3v } def' elif plotsPerPage ==","import commands import types import math #gsPath = '/usr/local/bin/gs' gsPath = 'gs' logFile","'/ymtitle ypos ylen add 10 add def\\n' # Multiple lines in title are","if w <= 10: vInc = 1 elif w <= 20: vInc =","else: vInc = m # if (vMax/f)%vInc != 0 or v1 % vInc","' -g1200x550 ' size = ' -g%dx%d ' % (self.xSize, self.ySize) xres =","os.fsync(self.fout) if self.plotsPerPage == 1: # size = ' -g1200x550 ' size =","def SetColor(self, color): rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\ ' setrgbcolor","#!/usr/bin/env python2 import sys import random import os.path import shutil import commands import","self.colorGreen = (0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack","= 10.0 if d == 1 and float(v)/inc > 1.0: d = 10.0","'endFunction\\n' print >>self.fout, '18 { 0.72 0.52 0.5 setrgbcolor } plotSymbolsC\\n' return rv","print >>self.fout, self.yfix1 print >>self.fout, '[ ' for x in xList: self.fout.write('('+str(x)+') ')","742 moveto' print >>self.fout, '/Helvetica findfont 12 scalefont setfont' if self.pageHeader != '':","= 1 for x in xList: self.xDict[x] = k k=k+1 print >>self.fout, '/xfix","= [] t2List = [] sList = [] indx = 0 for s","100: m *= 10 if (v0 >= 0) and (v0 % m) !=","# def ValueConvert(self, v, inc): if inc > 0: logInc = int(math.log10(v/inc)) d","rv #--- GetColorIndx(indx) # def GetColorIndx(self, indx): color = self.colors[indx % self.colorsN] rv","int(100 * self.xSize * 6.5 / (1200 * self.xLen)) yres = int(110 *","1: logOffset += 1 t += 1 v0 = math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1)))","self.xList = [] self.xDict = {} self.y1Inc = 0 self.y1Count = 0 self.y1LogScale","1000) == 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' print >>self.fout, x print >>self.fout, endFun, type,","ztitle != '': print >>self.fout, '('+ztitle+') vaxis2' if logFlag == 1: print >>self.fout,","self.y2Inc = zi self.y2Count = len(zList) print >>self.fout, '/Flag2Yaxes 1 def' self.yfix2 =","res +self.fname+' -c quit' # cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100","s2 = stateList[int(inputList[1])] t = int(inputList[2]) if indx != 0 and t >=","#--- outputPS(string) # def outputPS(self, s): print >>self.fout, s #--- SeriesNames(names) # def","GetImage() # def GetImage(self): flog = self.flog print >>self.fout, 'showpage\\n' self.fout.flush() os.fsync(self.fout) if","v = 1 else: v = 0; if axis == 1: self.y1LogScale =","def' self.yfix2 = '/yfix '+fix+' def\\n/yinc yinc2 def' print >>self.fout, 'axpos axlen add","-sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' else: size = ' -g1200x1100 ' cmdStr","self.xSize = xsize return #--- SetYSize(ysize) def SetYSize(self, ysize): self.ySize = ysize return","time1List.append(oldTime) time2List.append(t) oldTime = t indx += 1 p.SetPlot(tMin, tMax, 0, 0, 2,","stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t = int(inputList[2]) if indx != 0 and t","'{ dup 0 eq { } { log '+str(logOffset)+' add } ifelse }'","'USAGE: psPlot.py [tMin tMax] [fname]' sys.exit(1) print 'tMin,tMax: ', tMin, tMax, 'fname: ',","= 100000 stateList = [0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if len(sys.argv) == 2: fname","print >>self.fout, '('+title+')\\nMtitles\\n' if logFlag == 1: print >>self.fout, 'beginFunction\\n' for ys in","indx = 0 for x in xList: if x == ' ' and","0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' print >>self.fout, x print >>self.fout, endFun, type, '\\n' return","<= indx: continue y = yList[indx] if isinstance(zList,list): if len(zList) <= indx: continue","if (vMax/f)%vInc != 0 or v1 % vInc != 0: if v1 %","outputPS(self, s): print >>self.fout, s #--- SeriesNames(names) # def SeriesNames(self, names): indx =","-g1200x1100 ' cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit'","[0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if len(sys.argv) == 2: fname = sys.argv[1] elif len(sys.argv)","{ } { log '+str(logOffset)+' add } ifelse }' else: logFlag = 0","% 1000) == 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' if self.xUniform == True: print >>self.fout,","= '' self.foutName = os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader =",">>self.fout, '('+xtitle+')\\n('+ytitle+')\\naxes\\n' print >>self.fout, self.xGrid, self.yGrid, ' grid\\n' print >>self.fout, '/ymtitle ypos ylen","fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if self.foutPath == '/': self.foutPath =","m) != 0: v0 = int(v0 / m) * m if (v1 %","+= 1 logOffset = 0 while t < 1: logOffset += 1 t","-dNOPAUSE '+ res +self.fname+' -c quit' # cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg","int(vMax+0.99) f = 1 w = v1 - v0 if w == 0:","1 and float(v)/inc > 1.0: d = 10.0 if v >= 1000000000 and","'/nextGraph { nextGraph3v } def' elif plotsPerPage == 2: print >>self.fout, '/doGraph {","(0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN = 11","ys[:-1] factor = 1000000 else: yss = ys y = float(yss)*factor/10.0 k =","setlinewidth\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc = xi self.xCount = len(xList)","-= (math.log10(v0) - 1) # substract 1 from above inside parent? fix =","len(xList) self.xList = xList self.xDict = {} k = 1 for x in","if w == 0: v1 = v0 + 1 w = 1 while","'graph xList: ', self.xList, ' xList: ', xList, \\ ' yList: ', yList","and inc > 1: s = int(v/(1000/d))/d if s*d == int(s)*d: s =","print >>self.flog, 'logFlag: ', logFlag, ' fix: ', fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen)","if indx == 0: return print >>self.fout, '('+self.seriesTitle+')' while indx >= 0: if","% m) != 0: v1 = int(v1 / m) * m + m",">= 100: f *= 10 # w = int(w/f) v0 = int(v0/f) v1","v = v0 vList = [] n = 0 while True: vList.append(self.ValueConvert(v,vi)) if","0: v1 = int(v1 / m) * m + m w = v1","1 p.PlotData(1,t1List, t2List, sList, 'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state +=","(0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN","indx: continue y = yList[indx] if isinstance(zList,list): if len(zList) <= indx: continue z","= m else: vInc = m # if (vMax/f)%vInc != 0 or v1","math.fabs(v0Log)/1000 and t < 0: t += 1 logOffset = 0 while t","self.flog = open(logFile, 'a') # self.flog = open('./psPlot.out', 'a') if plotsPerPage == 4:","'Mtitles\\n' # print >>self.fout, '('+title+')\\nMtitles\\n' if logFlag == 1: print >>self.fout, 'beginFunction\\n' for","xres = int(100 * self.xSize * 6.5 / (1200 * self.xLen)) yres =","= self.GetInc(vBeg,vEnd) else: v0 = vBeg v1 = vEnd vi = vInc if","= ' -g1200x1100 ' cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+'","vBeg vList.append(' ') self.xUniform = True v0 = 1 v1 = len(vList) vi","v0 = int(v0/f) v1 = int(v1/f) if (vMin % f) != 0 and","if isinstance(zList,list): endFun = 'endFunctionW\\n' else: endFun = 'endFunction\\n' indx = 0 for","{} k = 1 for x in xList: self.xDict[x] = k k=k+1 print","self.seriesTitle = ' ' self.x0 = 0 self.xInc = 0 self.xCount = 0","0 self.y1LogScale = 0 self.y2Inc = 0 self.y2Count = 0 self.y2LogScale = 0","print >>self.fout, '/Helvetica findfont 12 scalefont setfont' if self.pageHeader != '': print >>self.fout,","math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t < 0: t += 1 logOffset","+ ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' print >>flog, 'cmdStr: ', cmdStr","inc > 0: logInc = int(math.log10(v/inc)) d = math.pow(10,logInc) if d == 0:","1.0 while vMax <= 1 and vMax > 0: ff *= 0.10 vMin","= int(sys.argv[2]) elif len(sys.argv) == 4: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) fname","zs[-1:] == 'M': zss = zs[:-1] factor = 1000000 else: zss = zs","\\ ' yList: ', yList print >>self.fout, '%\\n% Plot '+id+'\\n%\\n' print >>self.fout, '/xfix","v1 % vInc != 0: if v1 % vInc != 0: v1 =","yres = int(110 * self.ySize / 550) res = ' -r%dx%d ' %","yinc2 def' print >>self.fout, 'axpos axlen add aypos aylen' self.fout.write('[ ') for z","tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) fname = sys.argv[3] elif len(sys.argv) != 1:","== 2: print >>self.fout, self.yfix2 elif axis == 1: print >>self.fout, self.yfix1 #","def\\n' else: print >>self.fout, '/plotNumPercentDir 0 def\\n' return #--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value):","vEnd vi = vInc if vBeg > 0 and (logFlag==1 or (logFlag==0 and","= int(inputList[2]) if indx != 0 and t >= tMin and t <=","fin: inputLine = inputLine.replace(' ','') inputLine = inputLine.replace(\"'\", '') i1 = inputLine.find('(') i2","continue z = zList[indx] else: z = '' indx += 1 if self.xUniform","1: print 'USAGE: psPlot.py [tMin tMax] [fname]' sys.exit(1) print 'tMin,tMax: ', tMin, tMax,","3: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) elif len(sys.argv) == 4: tMin =","if (v0 >= 0) and (v0 % m) != 0: v0 = int(v0","'19 { 0 0 0 setrgbcolor } plotSymbolsC\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, #","vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog, 'vList: ', vList print >>self.flog, 'logFlag: ', logFlag,","x, 0.0 if (indx != 0) and (indx % 1000) == 0: print","1 vList = [] v = v0 while v <= v1: vList.append(self.ValueConvert(v,0)) v","'+fix+' def\\n /yinc yinc1 def' print >>self.fout, self.yfix1 print >>self.fout, '[ ' for","print >>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx -= 1 print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList,","{ nextGraph4v } def' elif plotsPerPage == 3: print >>self.fout, '/doGraph { graph3v","zList, id, type): flog = self.flog print >>flog, 'graph xList: ', self.xList, '","== 0: d = 10.0 else: d = 10.0 if d == 1","open(logFile, 'a') # self.flog = open('./psPlot.out', 'a') if plotsPerPage == 4: print >>self.fout,","+= 1 v = v0 + n*vi fix = '{ '+str(v0-vi)+' sub '+str(vi)+'",">= 0: if names[indx] != None: print >>self.fout, '('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx","int(s) r = str(s) else: r = str(int(v*100)/100.0) return r #--- GetAxis(vBeg, vEnd,","= int(v/(1000000/d))/d if s*d == int(s)*d: s = int(s) r = str(s) +","print >>self.fout, 'beginFunction\\n' for zs in zList: factor = 1 if zs[-1:] ==","t in titleLines: if len(t) > 0: print >>self.flog, ' '+t print >>self.fout,","len(names) - 1 if indx == 0: return print >>self.fout, '('+self.seriesTitle+')' while indx","Plot '+id+'\\n%\\n' print >>self.fout, '/xfix { ', self.x0 - self.xInc - self.xOffset,' sub","add }' if isinstance(vBeg,list): vList = vBeg vList.append(' ') self.xUniform = True v0","# else: # print >>self.fout, '/yfix { 0 add } def\\n' print >>self.fout,","0.72 0.52 0.5 setrgbcolor } plotSymbolsC\\n' return rv #--- SetColor(color) # def SetColor(self,","vEnd, vInc, logFlag): fix = '{ 0 add }' if isinstance(vBeg,list): vList =","v1 = v0 + 1 w = 1 while w/f >= 100: f","v0 = int(v0/vInc)*vInc v0 += vInc v0 *= (f*ff) v1 *= (f*ff) vInc","SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if value == 'Off': v = -1 elif value",">>self.fout, '/Flag2Yaxes 1 def' self.yfix2 = '/yfix '+fix+' def\\n/yinc yinc2 def' print >>self.fout,","if v > vEnd: break n += 1 v = v0 + n*vi","t2List, sList, 'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state += 1 image","== 1: self.y1LogScale = v else: self.y2LogScale = v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) #","'Socket/State', 'Chavey\\'s Plot') state = 0 while state <= 4: t1List = []","self.y2LogScale = 0 self.xOffset = 0 self.colors = [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14),","1 if self.xUniform == True: g_indx = self.xDict[x] print >>self.fout, g_indx, y, z","zss = zs[:-1] factor = 1000000 else: zss = zs y = float(zss)*factor/10.0","'beginFunction\\n' if isinstance(zList,list): endFun = 'endFunctionW\\n' else: endFun = 'endFunction\\n' indx = 0","= b return rv #--- outputPS(string) # def outputPS(self, s): print >>self.fout, s","print >>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader != '': print >>self.fout, '40 726 moveto\\n","def' print >>self.fout, self.yfix1 print >>self.fout, '[ ' for x in xList: self.fout.write('('+str(x)+')",">>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type) # def PlotVBars(self, xList, type): flog = self.flog","' and indx == len(xList)-1: continue indx += 1 print >>self.fout, x, 0.0","#--- ValueConvert(v) # def ValueConvert(self, v, inc): if inc > 0: logInc =","' ]' print >>self.fout, '('+xtitle+')\\n('+ytitle+')\\naxes\\n' print >>self.fout, self.xGrid, self.yGrid, ' grid\\n' print >>self.fout,","'K' elif v >= 1: s = int(v*d)/d if s*d == int(s)*d: s","int(sys.argv[1]) tMax = int(sys.argv[2]) elif len(sys.argv) == 4: tMin = int(sys.argv[1]) tMax =","v0 += vInc v0 *= (f*ff) v1 *= (f*ff) vInc *= (f*ff) return","def SetYSize(self, ysize): self.ySize = ysize return #--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print","self.pageHeader = pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1 = '' self.yfix2","print >>self.fout, '/doGraph { graph1v } def' print >>self.fout, '/nextGraph { nextGraph1v }","'doGraph' return #--- SetXSize(xsize) def SetXSize(self, xsize): self.xSize = xsize return #--- SetYSize(ysize)","'' self.foutName = os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader = pageSubHeader","setrgbcolor } plotSymbolsC\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title):","shutil import commands import types import math #gsPath = '/usr/local/bin/gs' gsPath = 'gs'","[] indx = 0 oldTime = 0 fin = open(fname, 'r') for inputLine","(1,1,1) self.ColorBlack = (0,0,0) self.xSize = 1800 self.ySize = 900 shutil.copy('plot-header.ps', self.fname) self.fout","m w = v1 - v0 if w <= 5*m: vInc = m/2","print >>self.fout, 'doGraph' return #--- SetXSize(xsize) def SetXSize(self, xsize): self.xSize = xsize return","> 0 and (logFlag==1 or (logFlag==0 and (vEnd/vBeg > 100))): v0 = vBeg","== 'K': zss = zs[:-1] factor = 1000 elif zs[-1:] == 'M': zss","' size = ' -g%dx%d ' % (self.xSize, self.ySize) xres = int(100 *","elif plotsPerPage == 2: print >>self.fout, '/doGraph { graph2v } def' print >>self.fout,","vBeg > 0 and (logFlag==1 or (logFlag==0 and (vEnd/vBeg > 100))): v0 =","vi = 1 vList = [] v = v0 while v <= v1:","else: self.y2LogScale = v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\n\\nnextGraph\\n1","= str(s) else: r = str(int(v*100)/100.0) return r #--- GetAxis(vBeg, vEnd, vInc, logFlag)","None: print >>self.fout, '('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx -= 1",">>self.fout, '\\n\\nnextGraph\\n1 setlinewidth\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc = xi self.xCount","-sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' print >>flog, 'cmdStr: ', cmdStr output =","fname = sys.argv[3] elif len(sys.argv) != 1: print 'USAGE: psPlot.py [tMin tMax] [fname]'","str(s) + 'K' elif v >= 1: s = int(v*d)/d if s*d ==","= inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t =","yi self.y1Count = len(yList) self.yfix1 = '/yfix '+fix+' def\\n /yinc yinc1 def' print","fname = 'sched.txt' if len(sys.argv) == 2: fname = sys.argv[1] elif len(sys.argv) ==","g_indx = self.xDict[x] print >>self.fout, g_indx, y, z else: print >>self.fout, x, y,","self.xInc, ' div ', 0.0,' add } def\\n' if axis == 2: print","inputLine.find('(') i2 = inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2 = stateList[int(inputList[1])]","'K': zss = zs[:-1] factor = 1000 elif zs[-1:] == 'M': zss =","print >>self.fout, self.yfix2 elif axis == 1: print >>self.fout, self.yfix1 # else: #","gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+' -c quit' # cmdStr =","'{ '+str(v0-vi)+' sub '+str(vi)+' div }' print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print","return rv #--- SetColorIndx(indx, r, g, b) # def SetColorIndx(self, indx, r, g,","self.yGrid, ' grid\\n' print >>self.fout, '/ymtitle ypos ylen add 10 add def\\n' #","= inputLine.find('(') i2 = inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2 =","= plotsPerPage self.yfix1 = '' self.yfix2 = '' self.xGrid = 1 self.yGrid =","str(s) else: r = str(int(v*100)/100.0) return r #--- GetAxis(vBeg, vEnd, vInc, logFlag) #","+= 1 print >>self.fout, 'endFunction\\n' print >>self.fout, '18 { 0.72 0.52 0.5 setrgbcolor","fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1 = ''","= '{ 0 add }' if isinstance(vBeg,list): vList = vBeg vList.append(' ') self.xUniform","'+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state += 1 image = p.GetImage(sys.stdout) print 'Image file: ',","gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' else: size = '","'+title titleLines = title.split('|') for t in titleLines: if len(t) > 0: print","+= 1 print >>self.fout, x, 0.0 if (indx != 0) and (indx %","GetInc(vMin, vMax) def GetInc(self,vMin, vMax): ff = 1.0 while vMax <= 1 and","vBeg v1 = vEnd vi = vInc if vBeg > 0 and (logFlag==1","logFlag == 1: print >>self.fout, 'beginFunction\\n' for ys in yList: factor = 1","v >= 1000000000 and inc > 1: s = int(v/(1000000000/d))/d if s*d ==","= 0 fin = open(fname, 'r') for inputLine in fin: inputLine = inputLine.replace('","', fix, ' def\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi self.y1Count =","'+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\ ' setrgbcolor } ' return rv #--- SetColorIndx(indx, r,","y in yList: self.fout.write('('+str(y)+') ') print >>self.fout, ' ]' print >>self.fout, '('+xtitle+')\\n('+ytitle+')\\naxes\\n' print","0: return print >>self.fout, '('+self.seriesTitle+')' while indx >= 0: if names[indx] != None:","v0 vList = [] n = 0 while True: vList.append(self.ValueConvert(v,vi)) if v >","Main # def main(): tMin = 0 tMax = 100000 stateList = [0,1,2,2,3,3,3,3,4]","= 2 while k < 10: print >>self.fout, 0, k*y k += 1","1 else: v = 0; if axis == 1: self.y1LogScale = v else:","inc > 1: s = int(v/(1000000000/d))/d if s*d == int(s)*d: s = int(s)","v = v0 while v <= v1: vList.append(self.ValueConvert(v,0)) v *= 10 if v0","print >>self.fout, '('+xtitle+')\\n('+ytitle+')\\naxes\\n' print >>self.fout, self.xGrid, self.yGrid, ' grid\\n' print >>self.fout, '/ymtitle ypos",">>self.fout, endFun+type+'\\nbeginFunction\\n' if self.xUniform == True: print >>self.fout, g_indx, y, z else: print","= v0 vList = [] n = 0 while True: vList.append(self.ValueConvert(v,vi)) if v","1000) == 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' if self.xUniform == True: print >>self.fout, g_indx,","= 'sched.txt' if len(sys.argv) == 2: fname = sys.argv[1] elif len(sys.argv) == 3:","0 0 0 setrgbcolor } plotSymbolsC\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) #","= [] self.xDict = {} self.y1Inc = 0 self.y1Count = 0 self.y1LogScale =","self.y1LogScale) self.y1Inc = yi self.y1Count = len(yList) self.yfix1 = '/yfix '+fix+' def\\n /yinc","int(vMin) v1 = int(vMax+0.99) f = 1 w = v1 - v0 if","open(self.fname, 'a') self.flog = open(logFile, 'a') # self.flog = open('./psPlot.out', 'a') if plotsPerPage","'+fix+' def\\n/yinc yinc2 def' print >>self.fout, 'axpos axlen add aypos aylen' self.fout.write('[ ')","if isinstance(zList,list): if len(zList) <= indx: continue z = zList[indx] else: z =","== state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx += 1 p.PlotData(1,t1List, t2List, sList,","#--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value == 'Vertical': print >>self.fout, '/plotNumPercentDir 1 def\\n'","'40 726 moveto\\n (',self.pageSubHeader,') show' print >>self.fout, 'showpage\\n} bind def' print >>self.fout, 'doGraph'","def SetXSize(self, xsize): self.xSize = xsize return #--- SetYSize(ysize) def SetYSize(self, ysize): self.ySize","= 'plot.log' #--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) # class PsPlot(object): def __init__(self,","tMin, tMax, 'fname: ', fname p = PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList =","def PlotVBars(self, xList, type): flog = self.flog print >>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\n'","(0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack = (0,0,0)","v1 = int(v1/f) if (vMin % f) != 0 and vMax == v1:","2 while k < 10: print >>self.fout, self.xCount, k*y k += 1 print","elif plotsPerPage == 3: print >>self.fout, '/doGraph { graph3v } def' print >>self.fout,","= zs y = float(zss)*factor/10.0 k = 2 while k < 10: print","v >= 1000 and inc > 1: s = int(v/(1000/d))/d if s*d ==","= int(v/(1000/d))/d if s*d == int(s)*d: s = int(s) r = str(s) +","GetImage(self): flog = self.flog print >>self.fout, 'showpage\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage == 1:","len(zList) <= indx: continue z = zList[indx] else: z = '' indx +=","zList[indx] else: z = '' indx += 1 if self.xUniform == True: g_indx","print >>self.fout, '/doGraph { graph3v } def' print >>self.fout, '/nextGraph { nextGraph3v }","x == ' ' and indx == len(xList)-1: continue indx += 1 print","endFun, type, '\\n' return #--- GetImage() # def GetImage(self): flog = self.flog print","n = 0 while True: vList.append(self.ValueConvert(v,vi)) if v > vEnd: break n +=","% 1000) == 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' print >>self.fout, x print >>self.fout, endFun,","0 self.y2Count = 0 self.y2LogScale = 0 self.xOffset = 0 self.colors = [",">>self.fout, '/doGraph { graph1v } def' print >>self.fout, '/nextGraph { nextGraph1v } def'","'def\\n' return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value == 'Vertical': print >>self.fout, '/plotNumPercentDir","= '/usr/local/bin/gs' gsPath = 'gs' logFile = '/dev/null' #logFile = 'plot.log' #--- class","ff = math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t < 0: t +=","if (v0 % vInc) != 0: v0 = int(v0/vInc)*vInc v0 += vInc v0","else: zss = zs y = float(zss)*factor/10.0 k = 2 while k <","'' self.xGrid = 1 self.yGrid = 1 self.xUniform = False self.xLen = 6.5","5*m: vInc = m/2 else: vInc = m else: vInc = m #","1 v1 = len(vList) vi = 1 fix = '{ '+str(v0-vi)+' sub '+str(vi)+'","= self.colors[indx % self.colorsN] rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\ '","cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' else: size","stateList[int(inputList[1])] t = int(inputList[2]) if indx != 0 and t >= tMin and","eq { } { log '+str(logOffset)+' add } ifelse }' else: logFlag =","indx = len(names) - 1 if indx == 0: return print >>self.fout, '('+self.seriesTitle+')'","'('+t+')\\n' print >>self.fout, 'Mtitles\\n' # print >>self.fout, '('+title+')\\nMtitles\\n' if logFlag == 1: print","factor = 1 if ys[-1:] == 'K': yss = ys[:-1] factor = 1000","r, g, b): self.colors[indx][0] = r self.colors[indx][1] = g self.colors[indx][2] = b return","!= 0 and vMax == v1: v1 += 1 w = v1 -","2: print >>self.fout, self.yfix2 elif axis == 1: print >>self.fout, self.yfix1 # else:","math #gsPath = '/usr/local/bin/gs' gsPath = 'gs' logFile = '/dev/null' #logFile = 'plot.log'","math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList = [] v = v0 while v <=","toStateList: if s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx += 1","xsize return #--- SetYSize(ysize) def SetYSize(self, ysize): self.ySize = ysize return #--- SetPlotBgLevel(level)","= -1 elif value == 'On': v = 1 else: v = 0;","cmdStr output = commands.getoutput(cmdStr) print >>flog, 'output from gs command: ', output return","self.xCount = len(xList) self.xList = xList self.xDict = {} k = 1 for","0 self.xCount = 0 self.xList = [] self.xDict = {} self.y1Inc = 0","' -g1200x1100 ' cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c","def PlotData(self, axis, xList, yList, zList, id, type): flog = self.flog print >>flog,","print >>self.fout, '/doGraph { graph4v } def' print >>self.fout, '/nextGraph { nextGraph4v }","ValueConvert(self, v, inc): if inc > 0: logInc = int(math.log10(v/inc)) d = math.pow(10,logInc)","SetPlotYLogScale(self,axis,value): if value == 'Off': v = -1 elif value == 'On': v","y, z else: print >>self.fout, x, y, z if (indx != 0) and","logFlag, ' fix: ', fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self, xlen): self.xLen","gsPath = 'gs' logFile = '/dev/null' #logFile = 'plot.log' #--- class PsPlot(fname, pageHeader,","* self.xSize * 6.5 / (1200 * self.xLen)) yres = int(110 * self.ySize","'+self.fname+' -c quit' else: size = ' -g1200x1100 ' cmdStr = gsPath +","= 1800 self.ySize = 900 shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname, 'a') self.flog =","y = float(zss)*factor/10.0 k = 2 while k < 10: print >>self.fout, self.xCount,","(v0 % vInc) != 0: v0 = int(v0/vInc)*vInc v0 += vInc v0 *=","= t indx += 1 p.SetPlot(tMin, tMax, 0, 0, 2, 0, 'Time', 'Socket/State',","{ '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\ ' setrgbcolor } ' return rv #--- SetColorIndx(indx,","'Off': v = -1 elif value == 'On': v = 1 else: v","elif ys[-1:] == 'M': yss = ys[:-1] factor = 1000000 else: yss =","= int(v1 / m) * m + m w = v1 - v0","= 0 self.y2LogScale = 0 self.xOffset = 0 self.colors = [ (0.7,0.7,0.7), (0,0,0.8),","int(110 * self.ySize / 550) res = ' -r%dx%d ' % (xres, yres)","setrgbcolor } ' return rv #--- SetColorIndx(indx, r, g, b) # def SetColorIndx(self,","# def outputPS(self, s): print >>self.fout, s #--- SeriesNames(names) # def SeriesNames(self, names):","1 print >>self.fout, 'endFunction\\n' print >>self.fout, '18 { 0.72 0.52 0.5 setrgbcolor }","= p.GetImage(sys.stdout) print 'Image file: ', image p.End() if __name__ == \"__main__\": main()","!= 0: v0 = int(v0 / m) * m if (v1 % m)","v >= 1: s = int(v*d)/d if s*d == int(s)*d: s = int(s)","}' else: logFlag = 0 v = v0 vList = [] n =","0, k*y k += 1 print >>self.fout, 'endFunction\\n' print >>self.fout, '19 { 0","SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count =","oldTime = 0 fin = open(fname, 'r') for inputLine in fin: inputLine =","self.fname) self.fout = open(self.fname, 'a') self.flog = open(logFile, 'a') # self.flog = open('./psPlot.out',","v1, vInc #--- ValueConvert(v) # def ValueConvert(self, v, inc): if inc > 0:","inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t = int(inputList[2])","len(sys.argv) == 4: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) fname = sys.argv[3] elif","color = self.colors[indx % self.colorsN] rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\","= 1 elif w <= 20: vInc = 2 else: m = 10","print >>self.fout, '%\\n% Plot '+id+'\\n%\\n' print >>self.fout, '/xfix { ', self.x0 - self.xInc","1 self.yGrid = 1 self.xUniform = False self.xLen = 6.5 #inches self.seriesTitle =","'/yfix { 0 add } def\\n' print >>self.fout, 'beginFunction\\n' if isinstance(zList,list): endFun =","GetAxis(self, vBeg, vEnd, vInc, logFlag): fix = '{ 0 add }' if isinstance(vBeg,list):","in xList: if x == ' ' and indx == len(xList)-1: continue if","0 tMax = 100000 stateList = [0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if len(sys.argv) ==","if inc > 0: logInc = int(math.log10(v/inc)) d = math.pow(10,logInc) if d ==","[] time2List = [] indx = 0 oldTime = 0 fin = open(fname,","<= 1 and vMax > 0: ff *= 0.10 vMin *= 10 vMax","'+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\ ' setrgbcolor } ' return rv #--- GetColorIndx(indx) #","'/showpage {\\n 40 742 moveto' print >>self.fout, '/Helvetica findfont 12 scalefont setfont' if","(self.xSize, self.ySize) xres = int(100 * self.xSize * 6.5 / (1200 * self.xLen))","1000000000 and inc > 1: s = int(v/(1000000000/d))/d if s*d == int(s)*d: s","if self.pageHeader != '': print >>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader != '': print","(f*ff) vInc *= (f*ff) return v0, v1, vInc #--- ValueConvert(v) # def ValueConvert(self,","'/xAxisLen %.2f def' % self.xLen print >>self.fout, 'doGraph' return #--- SetXSize(xsize) def SetXSize(self,","print >>self.fout, '/plotBgLevel ', level, 'def\\n' return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value","flog = self.flog print >>flog, 'graph xList: ', self.xList, ' xList: ', xList,","' for x in xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\n[ ') for y in","# def GetAxis(self, vBeg, vEnd, vInc, logFlag): fix = '{ 0 add }'","above inside parent? fix = '{ dup 0 eq { } { log","if zs[-1:] == 'K': zss = zs[:-1] factor = 1000 elif zs[-1:] ==","% (self.xSize, self.ySize) xres = int(100 * self.xSize * 6.5 / (1200 *","= len(xList) self.xList = xList self.xDict = {} k = 1 for x",">>self.fout, 0, k*y k += 1 print >>self.fout, 'endFunction\\n' print >>self.fout, '19 {","self.y2Count = 0 self.y2LogScale = 0 self.xOffset = 0 self.colors = [ (0.7,0.7,0.7),","pageSubHeader, plotsPerPage) # class PsPlot(object): def __init__(self, fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath =","p = PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList = [] toStateList = [] time1List","print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type) # def PlotVBars(self, xList, type): flog =","state = 0 while state <= 4: t1List = [] t2List = []","'0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state += 1 image = p.GetImage(sys.stdout) print","ylen add 10 add def\\n' # Multiple lines in title are separated by","logFlag): fix = '{ 0 add }' if isinstance(vBeg,list): vList = vBeg vList.append('","r = str(int(v*100)/100.0) return r #--- GetAxis(vBeg, vEnd, vInc, logFlag) # def GetAxis(self,","# def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ', level, 'def\\n' return #--- SetPlotPercentDir(value) def","rv #--- SetColorIndx(indx, r, g, b) # def SetColorIndx(self, indx, r, g, b):","self.colorBlue = (0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack = (0,0,0) self.xSize","' cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' print","state <= 4: t1List = [] t2List = [] sList = [] indx","int(v1/vInc)*vInc + vInc if (v0 % vInc) != 0: v0 = int(v0/vInc)*vInc v0","0 self.y2Inc = 0 self.y2Count = 0 self.y2LogScale = 0 self.xOffset = 0","= 'endFunctionW\\n' else: endFun = 'endFunction\\n' indx = 0 for x in xList:","550) res = ' -r%dx%d ' % (xres, yres) cmdStr = gsPath +","x == ' ' and indx == len(xList)-1: continue if len(yList) <= indx:","' print >>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx -= 1 print >>self.fout, 'fdescriptionsC' #---","print >>self.fout, '('+t+')\\n' print >>self.fout, 'Mtitles\\n' # print >>self.fout, '('+title+')\\nMtitles\\n' if logFlag ==","} def' print >>self.fout, '/nextGraph { nextGraph2v } def' else: print >>self.fout, '/doGraph","self.xDict = {} k = 1 for x in xList: self.xDict[x] = k","1 self.xUniform = False self.xLen = 6.5 #inches self.seriesTitle = ' ' self.x0","w/m > 100: m *= 10 if (v0 >= 0) and (v0 %",">>self.fout, '/xAxisLen %.2f def' % self.xLen print >>self.fout, 'doGraph' return #--- SetXSize(xsize) def","def outputPS(self, s): print >>self.fout, s #--- SeriesNames(names) # def SeriesNames(self, names): indx",">>self.fout, '18 { 0.72 0.52 0.5 setrgbcolor } plotSymbolsC\\n' return rv #--- SetColor(color)","#--- SetYSize(ysize) def SetYSize(self, ysize): self.ySize = ysize return #--- SetPlotBgLevel(level) # def","output = commands.getoutput(cmdStr) print >>flog, 'output from gs command: ', output return self.foutPath+self.foutName+'.jpg'","= 1 while w/f >= 100: f *= 10 # w = int(w/f)","'+t print >>self.fout, '('+t+')\\n' print >>self.fout, 'Mtitles\\n' # print >>self.fout, '('+title+')\\nMtitles\\n' if logFlag","pageHeader, pageSubHeader, plotsPerPage) # class PsPlot(object): def __init__(self, fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath","} plotSymbolsC\\n' return rv #--- SetColor(color) # def SetColor(self, color): rv = '","for s in toStateList: if s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20)","color): rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\ ' setrgbcolor } '","0 while True: vList.append(self.ValueConvert(v,vi)) if v > vEnd: break n += 1 v","str(s) + 'G' elif v >= 1000000 and inc > 1: s =","self.ySize = 900 shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname, 'a') self.flog = open(logFile, 'a')","'\\nshowpage\\nend' self.fout.close() #--- GetInc(vMin, vMax) def GetInc(self,vMin, vMax): ff = 1.0 while vMax","elif len(sys.argv) == 3: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) elif len(sys.argv) ==","vList.append(self.ValueConvert(v,0)) v *= 10 if v0 > 1: logOffset -= (math.log10(v0) - 1)","self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count = len(zList) print >>self.fout, '/Flag2Yaxes","print >>self.fout, '/doGraph { graph2v } def' print >>self.fout, '/nextGraph { nextGraph2v }","*= 10 v0 = int(vMin) v1 = int(vMax+0.99) f = 1 w =","= m # if (vMax/f)%vInc != 0 or v1 % vInc != 0:","print >>self.fout, '/xfix { ', self.x0 - self.xInc - self.xOffset,' sub ', self.xInc,","+= 1 if self.xUniform == True: g_indx = self.xDict[x] print >>self.fout, g_indx, y,","self.yfix1 = '/yfix '+fix+' def\\n /yinc yinc1 def' print >>self.fout, self.yfix1 print >>self.fout,","len(yList) self.yfix1 = '/yfix '+fix+' def\\n /yinc yinc1 def' print >>self.fout, self.yfix1 print","0 setrgbcolor } plotSymbolsC\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc,","'': print >>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader != '': print >>self.fout, '40 726","== 1 and float(v)/inc > 1.0: d = 10.0 if v >= 1000000000","0: v1 = int(v1/vInc)*vInc + vInc if (v0 % vInc) != 0: v0","'+self.fname+' -c quit' print >>flog, 'cmdStr: ', cmdStr output = commands.getoutput(cmdStr) print >>flog,","True: g_indx = self.xDict[x] print >>self.fout, g_indx, y, z else: print >>self.fout, x,","= x0 self.xInc = xi self.xCount = len(xList) self.xList = xList self.xDict =","xList: if x == ' ' and indx == len(xList)-1: continue if len(yList)","and vMax > 0: ff *= 0.10 vMin *= 10 vMax *= 10","logFlag) # def GetAxis(self, vBeg, vEnd, vInc, logFlag): fix = '{ 0 add","print >>self.fout, x, 0.0 if (indx != 0) and (indx % 1000) ==","= 0 for s in toStateList: if s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10","' self.x0 = 0 self.xInc = 0 self.xCount = 0 self.xList = []","# def GetImage(self): flog = self.flog print >>self.fout, 'showpage\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage","os.path import shutil import commands import types import math #gsPath = '/usr/local/bin/gs' gsPath","and float(v)/inc > 1.0: d = 10.0 if v >= 1000000000 and inc","SetYSize(ysize) def SetYSize(self, ysize): self.ySize = ysize return #--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level):","' ' self.x0 = 0 self.xInc = 0 self.xCount = 0 self.xList =","-c quit' # cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c","if s*d == int(s)*d: s = int(s) r = str(s) else: r =","== 4: print >>self.fout, '/doGraph { graph4v } def' print >>self.fout, '/nextGraph {","plotSymbolsC\\n' return rv #--- SetColor(color) # def SetColor(self, color): rv = ' {","vaxis2' if logFlag == 1: print >>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\n' for zs","#--- PlotData(axis, xList, yList, zList, id, type) # def PlotData(self, axis, xList, yList,",">>self.fout, '/nextGraph { nextGraph2v } def' else: print >>self.fout, '/doGraph { graph1v }","= commands.getoutput(cmdStr) print >>flog, 'output from gs command: ', output return self.foutPath+self.foutName+'.jpg' #---","self.yfix1 = '' self.yfix2 = '' self.xGrid = 1 self.yGrid = 1 self.xUniform","shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname, 'a') self.flog = open(logFile, 'a') # self.flog =","w = v1 - v0 if w == 0: v1 = v0 +","r = str(s) + 'M' elif v >= 1000 and inc > 1:","0 fin = open(fname, 'r') for inputLine in fin: inputLine = inputLine.replace(' ','')","10 add def\\n' # Multiple lines in title are separated by '|' print","0: v0 = int(v0 / m) * m if (v1 % m) !=","len(t) > 0: print >>self.flog, ' '+t print >>self.fout, '('+t+')\\n' print >>self.fout, 'Mtitles\\n'","k = 2 while k < 10: print >>self.fout, self.xCount, k*y k +=","and indx == len(xList)-1: continue if len(yList) <= indx: continue y = yList[indx]","gs command: ', output return self.foutPath+self.foutName+'.jpg' #--- Main # def main(): tMin =","'+str(color[1])+' '+str(color[2])+ \\ ' setrgbcolor } ' return rv #--- SetColorIndx(indx, r, g,","'/doGraph { graph1v } def' print >>self.fout, '/nextGraph { nextGraph1v } def' print","v1 = vEnd vi = vInc if vBeg > 0 and (logFlag==1 or","= float(zss)*factor/10.0 k = 2 while k < 10: print >>self.fout, self.xCount, k*y","0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' if self.xUniform == True: print >>self.fout, g_indx, y, z","int(sys.argv[1]) tMax = int(sys.argv[2]) fname = sys.argv[3] elif len(sys.argv) != 1: print 'USAGE:","yList: factor = 1 if ys[-1:] == 'K': yss = ys[:-1] factor =","s = int(v/(1000/d))/d if s*d == int(s)*d: s = int(s) r = str(s)","ys in yList: factor = 1 if ys[-1:] == 'K': yss = ys[:-1]","[] v = v0 while v <= v1: vList.append(self.ValueConvert(v,0)) v *= 10 if","'fname: ', fname p = PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList = [] toStateList","100))): v0 = vBeg v1 = vEnd logFlag = 1 v0Log = math.log10(v0)","'/doGraph { graph4v } def' print >>self.fout, '/nextGraph { nextGraph4v } def' elif","= 1000000 else: yss = ys y = float(yss)*factor/10.0 k = 2 while","fix, ' def\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi self.y1Count = len(yList)","'/nextGraph { nextGraph2v } def' else: print >>self.fout, '/doGraph { graph1v } def'","{ ', self.x0 - self.xInc - self.xOffset,' sub ', self.xInc, ' div ',","= [] n = 0 while True: vList.append(self.ValueConvert(v,vi)) if v > vEnd: break","'vList: ', vList print >>self.flog, 'logFlag: ', logFlag, ' fix: ', fix return","command: ', output return self.foutPath+self.foutName+'.jpg' #--- Main # def main(): tMin = 0","(',self.pageSubHeader,') show' print >>self.fout, 'showpage\\n} bind def' print >>self.fout, 'doGraph' #--- End() #","psPlot.py [tMin tMax] [fname]' sys.exit(1) print 'tMin,tMax: ', tMin, tMax, 'fname: ', fname","\\ ' setrgbcolor } ' return rv #--- SetColorIndx(indx, r, g, b) #","# class PsPlot(object): def __init__(self, fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if","add def\\n' # Multiple lines in title are separated by '|' print >>self.flog,","100000 stateList = [0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if len(sys.argv) == 2: fname =","# size = ' -g1200x550 ' size = ' -g%dx%d ' % (self.xSize,","def End(self): print >>self.fout, '\\nshowpage\\nend' self.fout.close() #--- GetInc(vMin, vMax) def GetInc(self,vMin, vMax): ff","r = str(s) + 'K' elif v >= 1: s = int(v*d)/d if","self.xGrid = 1 self.yGrid = 1 self.xUniform = False self.xLen = 6.5 #inches","- v0 if w <= 10: vInc = 1 elif w <= 20:","+ 'G' elif v >= 1000000 and inc > 1: s = int(v/(1000000/d))/d","nextGraph1v } def' print >>self.fout, '/showpage {\\n 40 742 moveto' print >>self.fout, '/Helvetica","inputLine = inputLine.replace(' ','') inputLine = inputLine.replace(\"'\", '') i1 = inputLine.find('(') i2 =","= 1 w = v1 - v0 if w == 0: v1 =","= 0 self.xList = [] self.xDict = {} self.y1Inc = 0 self.y1Count =","} { log '+str(logOffset)+' add } ifelse }' else: logFlag = 0 v","s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx += 1 p.PlotData(1,t1List, t2List,","= self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count = len(zList) print >>self.fout, '/Flag2Yaxes 1 def'","1: s = int(v/(1000/d))/d if s*d == int(s)*d: s = int(s) r =","+ 'K' elif v >= 1: s = int(v*d)/d if s*d == int(s)*d:","- self.xInc - self.xOffset,' sub ', self.xInc, ' div ', 0.0,' add }","# self.flog = open('./psPlot.out', 'a') if plotsPerPage == 4: print >>self.fout, '/doGraph {","(math.log10(v0) - 1) # substract 1 from above inside parent? fix = '{",">>self.fout, '19 { 0 0 0 setrgbcolor } plotSymbolsC\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc,","xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc =","i2 = inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t",">>self.fout, '('+ztitle+') vaxis2' if logFlag == 1: print >>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\n'","'\\n' return #--- GetImage() # def GetImage(self): flog = self.flog print >>self.fout, 'showpage\\n'","plotsPerPage == 2: print >>self.fout, '/doGraph { graph2v } def' print >>self.fout, '/nextGraph","PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) # class PsPlot(object): def __init__(self, fname, pageHeader, pageSubHeader, plotsPerPage):","self.yGrid = 1 self.xUniform = False self.xLen = 6.5 #inches self.seriesTitle = '","% self.colorsN]) indx -= 1 print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type) # def","' setrgbcolor } ' return rv #--- SetColorIndx(indx, r, g, b) # def","axis == 1: print >>self.fout, self.yfix1 # else: # print >>self.fout, '/yfix {","* self.xLen)) yres = int(110 * self.ySize / 550) res = ' -r%dx%d","logOffset -= (math.log10(v0) - 1) # substract 1 from above inside parent? fix","= zs[:-1] factor = 1000000 else: zss = zs y = float(zss)*factor/10.0 k","} def' elif plotsPerPage == 2: print >>self.fout, '/doGraph { graph2v } def'","print >>self.fout, 'doGraph' #--- End() # def End(self): print >>self.fout, '\\nshowpage\\nend' self.fout.close() #---","(indx % 1000) == 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' print >>self.fout, x print >>self.fout,","{ 0.72 0.52 0.5 setrgbcolor } plotSymbolsC\\n' return rv #--- SetColor(color) # def","#--- Main # def main(): tMin = 0 tMax = 100000 stateList =","1 image = p.GetImage(sys.stdout) print 'Image file: ', image p.End() if __name__ ==","self.pageSubHeader = pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1 = '' self.yfix2 = '' self.xGrid","4: print >>self.fout, '/doGraph { graph4v } def' print >>self.fout, '/nextGraph { nextGraph4v","v0 if w <= 10: vInc = 1 elif w <= 20: vInc",">>self.fout, '('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx -= 1 print >>self.fout,","self.colors[indx % self.colorsN] rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\ ' setrgbcolor","fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime = t indx += 1 p.SetPlot(tMin, tMax, 0,","endFun = 'endFunction\\n' indx = 0 for x in xList: if x ==","'/': self.foutPath = '' self.foutName = os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader = pageHeader","add } def\\n' if axis == 2: print >>self.fout, self.yfix2 elif axis ==","indx = 0 oldTime = 0 fin = open(fname, 'r') for inputLine in","(x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc = xi self.xCount = len(xList) self.xList","0) and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' if self.xUniform ==","11 self.colorRed = (0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua = (0,0.5,0.5)","= ys y = float(yss)*factor/10.0 k = 2 while k < 10: print","tMax, 0, 0, 2, 0, 'Time', 'Socket/State', 'Chavey\\'s Plot') state = 0 while","v1 = math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList = [] v = v0 while","def' print >>self.fout, 'axpos axlen add aypos aylen' self.fout.write('[ ') for z in","self.SetColor(self.colors[indx % self.colorsN]) indx -= 1 print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type) #","> 100))): v0 = vBeg v1 = vEnd logFlag = 1 v0Log =","<= 5*m: vInc = m/2 else: vInc = m else: vInc = m","vInc != 0: if v1 % vInc != 0: v1 = int(v1/vInc)*vInc +","len(zList) print >>self.fout, '/Flag2Yaxes 1 def' self.yfix2 = '/yfix '+fix+' def\\n/yinc yinc2 def'","', xList, \\ ' yList: ', yList print >>self.fout, '%\\n% Plot '+id+'\\n%\\n' print","= 1 self.yGrid = 1 self.xUniform = False self.xLen = 6.5 #inches self.seriesTitle","s*d == int(s)*d: s = int(s) r = str(s) else: r = str(int(v*100)/100.0)","# def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi","1000000 and inc > 1: s = int(v/(1000000/d))/d if s*d == int(s)*d: s","vInc = 2 else: m = 10 while w/m > 100: m *=",">>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\n' for zs in zList: factor = 1 if","res = ' -r%dx%d ' % (xres, yres) cmdStr = gsPath + '","k = 2 while k < 10: print >>self.fout, 0, k*y k +=","self.colorRed = (0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite","int(v0/f) v1 = int(v1/f) if (vMin % f) != 0 and vMax ==","indx != 0 and t >= tMin and t <= tMax: fromStateList.append(s1) toStateList.append(s2)","(0,0,0) ] self.colorsN = 11 self.colorRed = (0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue =","= int(v*d)/d if s*d == int(s)*d: s = int(s) r = str(s) else:","= [] time2List = [] indx = 0 oldTime = 0 fin =","' return rv #--- GetColorIndx(indx) # def GetColorIndx(self, indx): color = self.colors[indx %","tMin and t <= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime = t indx","str(s) + 'M' elif v >= 1000 and inc > 1: s =","(0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN = 11 self.colorRed","int(inputList[2]) if indx != 0 and t >= tMin and t <= tMax:","def ValueConvert(self, v, inc): if inc > 0: logInc = int(math.log10(v/inc)) d =","% vInc != 0: v1 = int(v1/vInc)*vInc + vInc if (v0 % vInc)","= vBeg vList.append(' ') self.xUniform = True v0 = 1 v1 = len(vList)","} def' print >>self.fout, '/nextGraph { nextGraph4v } def' elif plotsPerPage == 3:","= '' indx += 1 if self.xUniform == True: g_indx = self.xDict[x] print","== 1: print >>self.fout, 'beginFunction\\n' for ys in yList: factor = 1 if","% (xres, yres) cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+'","indx += 1 p.PlotData(1,t1List, t2List, sList, 'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout)","1: s = int(v/(1000000000/d))/d if s*d == int(s)*d: s = int(s) r =","# substract 1 from above inside parent? fix = '{ dup 0 eq","10 vMax *= 10 v0 = int(vMin) v1 = int(vMax+0.99) f = 1","and vMax == v1: v1 += 1 w = v1 - v0 if","v0 > 1: logOffset -= (math.log10(v0) - 1) # substract 1 from above","= int(v1/f) if (vMin % f) != 0 and vMax == v1: v1","and t >= tMin and t <= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime","self.flog print >>self.fout, 'showpage\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage == 1: # size =","def' print >>self.fout, '/nextGraph { nextGraph2v } def' else: print >>self.fout, '/doGraph {","d == 1 and float(v)/inc > 1.0: d = 10.0 if v >=","3: print >>self.fout, '/doGraph { graph3v } def' print >>self.fout, '/nextGraph { nextGraph3v","'beginFunction\\n' for ys in yList: factor = 1 if ys[-1:] == 'K': yss","graph1v } def' print >>self.fout, '/nextGraph { nextGraph1v } def' print >>self.fout, '/showpage","(v1 % m) != 0: v1 = int(v1 / m) * m +","m *= 10 if (v0 >= 0) and (v0 % m) != 0:","'+ res +self.fname+' -c quit' # cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE","v1 += 1 w = v1 - v0 if w <= 10: vInc","def' print >>self.fout, '/nextGraph { nextGraph1v } def' print >>self.fout, '/showpage {\\n 40","self.yfix1 print >>self.fout, 'beginFunction\\n' endFun = 'endFunction\\n' indx = 0 for x in","'/usr/local/bin/gs' gsPath = 'gs' logFile = '/dev/null' #logFile = 'plot.log' #--- class PsPlot(fname,","self.ySize) xres = int(100 * self.xSize * 6.5 / (1200 * self.xLen)) yres","print >>self.fout, x print >>self.fout, endFun, type, '\\n' return #--- PlotData(axis, xList, yList,","vList = [] n = 0 while True: vList.append(self.ValueConvert(v,vi)) if v > vEnd:","'doGraph' #--- End() # def End(self): print >>self.fout, '\\nshowpage\\nend' self.fout.close() #--- GetInc(vMin, vMax)","vInc = m else: vInc = m # if (vMax/f)%vInc != 0 or","== 'Vertical': print >>self.fout, '/plotNumPercentDir 1 def\\n' else: print >>self.fout, '/plotNumPercentDir 0 def\\n'","pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1 = '' self.yfix2 = ''","', level, 'def\\n' return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value == 'Vertical': print","if logFlag == 1: print >>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\n' for zs in","= 0 self.xCount = 0 self.xList = [] self.xDict = {} self.y1Inc =","= 1000 elif zs[-1:] == 'M': zss = zs[:-1] factor = 1000000 else:","return #--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ', level, 'def\\n' return","r #--- GetAxis(vBeg, vEnd, vInc, logFlag) # def GetAxis(self, vBeg, vEnd, vInc, logFlag):","PlotData(self, axis, xList, yList, zList, id, type): flog = self.flog print >>flog, 'graph",">>self.flog, 'logFlag: ', logFlag, ' fix: ', fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def","{ nextGraph3v } def' elif plotsPerPage == 2: print >>self.fout, '/doGraph { graph2v","vi = 1 fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' logFlag =","self.yfix2 elif axis == 1: print >>self.fout, self.yfix1 # else: # print >>self.fout,","indx == 0: return print >>self.fout, '('+self.seriesTitle+')' while indx >= 0: if names[indx]","= vBeg v1 = vEnd logFlag = 1 v0Log = math.log10(v0) t =","pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if self.foutPath == '/': self.foutPath = '' self.foutName","+= vInc v0 *= (f*ff) v1 *= (f*ff) vInc *= (f*ff) return v0,","(indx != 0) and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\nbeginFunction\\n' if","1 while w/f >= 100: f *= 10 # w = int(w/f) v0","vMax == v1: v1 += 1 w = v1 - v0 if w","- v0 if w <= 5*m: vInc = m/2 else: vInc = m","(logFlag==0 and (vEnd/vBeg > 100))): v0 = vBeg v1 = vEnd logFlag =","self.xSize = 1800 self.ySize = 900 shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname, 'a') self.flog","== len(xList)-1: continue if len(yList) <= indx: continue y = yList[indx] if isinstance(zList,list):","self.colors[indx][2] = b return rv #--- outputPS(string) # def outputPS(self, s): print >>self.fout,","for x in xList: self.xDict[x] = k k=k+1 print >>self.fout, '/xfix ', fix,","'sched.txt' if len(sys.argv) == 2: fname = sys.argv[1] elif len(sys.argv) == 3: tMin","print >>self.fout, '[ ' for x in xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\n[ ')","print >>self.fout, ' ]' print >>self.fout, '('+xtitle+')\\n('+ytitle+')\\naxes\\n' print >>self.fout, self.xGrid, self.yGrid, ' grid\\n'","0.52 0.5 setrgbcolor } plotSymbolsC\\n' return rv #--- SetColor(color) # def SetColor(self, color):","b) # def SetColorIndx(self, indx, r, g, b): self.colors[indx][0] = r self.colors[indx][1] =","time2List.append(t) oldTime = t indx += 1 p.SetPlot(tMin, tMax, 0, 0, 2, 0,","12 scalefont setfont' if self.pageHeader != '': print >>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader","self.fout.write('('+str(x)+') ') self.fout.write(' ]\\n[ ') for y in yList: self.fout.write('('+str(y)+') ') print >>self.fout,","self.foutPath == '/': self.foutPath = '' self.foutName = os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader","1 p.SetPlot(tMin, tMax, 0, 0, 2, 0, 'Time', 'Socket/State', 'Chavey\\'s Plot') state =","return self.foutPath+self.foutName+'.jpg' #--- Main # def main(): tMin = 0 tMax = 100000","= 'gs' logFile = '/dev/null' #logFile = 'plot.log' #--- class PsPlot(fname, pageHeader, pageSubHeader,","math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList = [] v = v0","[] self.xDict = {} self.y1Inc = 0 self.y1Count = 0 self.y1LogScale = 0","fname = sys.argv[1] elif len(sys.argv) == 3: tMin = int(sys.argv[1]) tMax = int(sys.argv[2])","== 2: fname = sys.argv[1] elif len(sys.argv) == 3: tMin = int(sys.argv[1]) tMax","vList.append(self.ValueConvert(v,vi)) if v > vEnd: break n += 1 v = v0 +","if names[indx] != None: print >>self.fout, '('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx % self.colorsN])","#--- GetInc(vMin, vMax) def GetInc(self,vMin, vMax): ff = 1.0 while vMax <= 1","# print >>self.fout, '/yfix { 0 add } def\\n' print >>self.fout, 'beginFunction\\n' if","#--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ', level, 'def\\n' return #---","logOffset = 0 while t < 1: logOffset += 1 t += 1","print >>self.fout, endFun+type+'\\nbeginFunction\\n' if self.xUniform == True: print >>self.fout, g_indx, y, z else:","def' print >>self.fout, '/showpage {\\n 40 742 moveto' print >>self.fout, '/Helvetica findfont 12","= ' -r%dx%d ' % (xres, yres) cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg","# def main(): tMin = 0 tMax = 100000 stateList = [0,1,2,2,3,3,3,3,4] fname","dup 0 eq { } { log '+str(logOffset)+' add } ifelse }' else:","'18 { 0.72 0.52 0.5 setrgbcolor } plotSymbolsC\\n' return rv #--- SetColor(color) #","os.path.dirname(fname)+'/' if self.foutPath == '/': self.foutPath = '' self.foutName = os.path.basename(fname) self.fname =","= 0 while True: vList.append(self.ValueConvert(v,vi)) if v > vEnd: break n += 1","(v0 >= 0) and (v0 % m) != 0: v0 = int(v0 /","tMax = int(sys.argv[2]) elif len(sys.argv) == 4: tMin = int(sys.argv[1]) tMax = int(sys.argv[2])","0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state += 1 image = p.GetImage(sys.stdout) print 'Image file:","'+str(v0-vi)+' sub '+str(vi)+' div }' print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog,","aypos aylen' self.fout.write('[ ') for z in zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]') if","', fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self, xlen): self.xLen = xlen print","/ 550) res = ' -r%dx%d ' % (xres, yres) cmdStr = gsPath","= '/dev/null' #logFile = 'plot.log' #--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) # class","= ' -g%dx%d ' % (self.xSize, self.ySize) xres = int(100 * self.xSize *","ys[:-1] factor = 1000 elif ys[-1:] == 'M': yss = ys[:-1] factor =","1) fromStateList = [] toStateList = [] time1List = [] time2List = []","k*y k += 1 print >>self.fout, 'endFunction\\n' print >>self.fout, '19 { 0 0","r = str(s) + 'G' elif v >= 1000000 and inc > 1:","} ' return rv #--- SetColorIndx(indx, r, g, b) # def SetColorIndx(self, indx,","v0 if w == 0: v1 = v0 + 1 w = 1","self.fout.write('('+str(y)+') ') print >>self.fout, ' ]' print >>self.fout, '('+xtitle+')\\n('+ytitle+')\\naxes\\n' print >>self.fout, self.xGrid, self.yGrid,","'plot.log' #--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) # class PsPlot(object): def __init__(self, fname,","if self.foutPath == '/': self.foutPath = '' self.foutName = os.path.basename(fname) self.fname = fname+'.ps'",">>self.fout, '/showpage {\\n 40 742 moveto' print >>self.fout, '/Helvetica findfont 12 scalefont setfont'","Plot') state = 0 while state <= 4: t1List = [] t2List =","xsize): self.xSize = xsize return #--- SetYSize(ysize) def SetYSize(self, ysize): self.ySize = ysize","if v >= 1000000000 and inc > 1: s = int(v/(1000000000/d))/d if s*d","else: m = 10 while w/m > 100: m *= 10 if (v0","w/f >= 100: f *= 10 # w = int(w/f) v0 = int(v0/f)",">>self.fout, endFun, type, '\\n' return #--- GetImage() # def GetImage(self): flog = self.flog","' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' print >>flog, 'cmdStr: ', cmdStr output","vMax *= 10 v0 = int(vMin) v1 = int(vMax+0.99) f = 1 w","= int(math.log10(v/inc)) d = math.pow(10,logInc) if d == 0: d = 10.0 else:","y = yList[indx] if isinstance(zList,list): if len(zList) <= indx: continue z = zList[indx]","v = 0; if axis == 1: self.y1LogScale = v else: self.y2LogScale =","/yinc yinc1 def' print >>self.fout, self.yfix1 print >>self.fout, '[ ' for x in","} plotSymbolsC\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv","in titleLines: if len(t) > 0: print >>self.flog, ' '+t print >>self.fout, '('+t+')\\n'","self.xInc - self.xOffset,' sub ', self.xInc, ' div ', 0.0,' add } def\\n'","fix: ', fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self, xlen): self.xLen = xlen","show' if self.pageSubHeader != '': print >>self.fout, '40 726 moveto\\n (',self.pageSubHeader,') show' print","-g%dx%d ' % (self.xSize, self.ySize) xres = int(100 * self.xSize * 6.5 /",">>flog, 'cmdStr: ', cmdStr output = commands.getoutput(cmdStr) print >>flog, 'output from gs command:","[] toStateList = [] time1List = [] time2List = [] indx = 0","0; if axis == 1: self.y1LogScale = v else: self.y2LogScale = v return","0, 'Time', 'Socket/State', 'Chavey\\'s Plot') state = 0 while state <= 4: t1List","and inc > 1: s = int(v/(1000000/d))/d if s*d == int(s)*d: s =","= 0 self.y1LogScale = 0 self.y2Inc = 0 self.y2Count = 0 self.y2LogScale =","self.foutName = os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage","1 t += 1 v0 = math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi = 1","indx += 1 p.SetPlot(tMin, tMax, 0, 0, 2, 0, 'Time', 'Socket/State', 'Chavey\\'s Plot')",">>self.fout, x print >>self.fout, endFun, type, '\\n' return #--- PlotData(axis, xList, yList, zList,","*= (f*ff) return v0, v1, vInc #--- ValueConvert(v) # def ValueConvert(self, v, inc):","0 self.y2LogScale = 0 self.xOffset = 0 self.colors = [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0),","moveto\\n (',self.pageSubHeader,') show' print >>self.fout, 'showpage\\n} bind def' print >>self.fout, 'doGraph' #--- End()","' % (self.xSize, self.ySize) xres = int(100 * self.xSize * 6.5 / (1200","else: size = ' -g1200x1100 ' cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE","else: print >>self.fout, x, y, z if (indx != 0) and (indx %","tMin = 0 tMax = 100000 stateList = [0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if","t >= tMin and t <= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime =","= zs[:-1] factor = 1000 elif zs[-1:] == 'M': zss = zs[:-1] factor","'/xfix ', fix, ' def\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi self.y1Count","v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0 = vBeg v1 = vEnd vi = vInc","if ztitle != '': print >>self.fout, '('+ztitle+') vaxis2' if logFlag == 1: print","= 0 else: if vInc == 0: v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0 =","print >>self.fout, 'endFunction\\n' print >>self.fout, '18 { 0.72 0.52 0.5 setrgbcolor } plotSymbolsC\\n'","else: r = str(int(v*100)/100.0) return r #--- GetAxis(vBeg, vEnd, vInc, logFlag) # def","self.fout.flush() os.fsync(self.fout) if self.plotsPerPage == 1: # size = ' -g1200x550 ' size","'{ 0 add }' if isinstance(vBeg,list): vList = vBeg vList.append(' ') self.xUniform =","= 1000 elif ys[-1:] == 'M': yss = ys[:-1] factor = 1000000 else:","'showpage\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage == 1: # size = ' -g1200x550 '","else: z = '' indx += 1 if self.xUniform == True: g_indx =","= open(self.fname, 'a') self.flog = open(logFile, 'a') # self.flog = open('./psPlot.out', 'a') if","x0 self.xInc = xi self.xCount = len(xList) self.xList = xList self.xDict = {}","if axis == 1: self.y1LogScale = v else: self.y2LogScale = v return #---","type, '\\n' return #--- PlotData(axis, xList, yList, zList, id, type) # def PlotData(self,","self.xSize * 6.5 / (1200 * self.xLen)) yres = int(110 * self.ySize /","= int(110 * self.ySize / 550) res = ' -r%dx%d ' % (xres,","SetColor(self, color): rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\ ' setrgbcolor }","= (0,0,0) self.xSize = 1800 self.ySize = 900 shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname,","len(yList) <= indx: continue y = yList[indx] if isinstance(zList,list): if len(zList) <= indx:","len(sys.argv) == 2: fname = sys.argv[1] elif len(sys.argv) == 3: tMin = int(sys.argv[1])","#--- GetImage() # def GetImage(self): flog = self.flog print >>self.fout, 'showpage\\n' self.fout.flush() os.fsync(self.fout)","s = int(v/(1000000/d))/d if s*d == int(s)*d: s = int(s) r = str(s)",">>self.fout, x, y, z if (indx != 0) and (indx % 1000) ==","#--- GetAxis(vBeg, vEnd, vInc, logFlag) # def GetAxis(self, vBeg, vEnd, vInc, logFlag): fix","sList, 'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state += 1 image =","= (0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack = (0,0,0) self.xSize =","1 print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type) # def PlotVBars(self, xList, type): flog",">>self.fout, 'doGraph' return #--- SetXSize(xsize) def SetXSize(self, xsize): self.xSize = xsize return #---",">>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader != '': print >>self.fout, '40 726 moveto\\n (',self.pageSubHeader,')","id, type): flog = self.flog print >>flog, 'graph xList: ', self.xList, ' xList:","print >>self.fout, 'beginFunction\\n' for ys in yList: factor = 1 if ys[-1:] ==","1000000 else: zss = zs y = float(zss)*factor/10.0 k = 2 while k","w == 0: v1 = v0 + 1 w = 1 while w/f","= (0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack = (0,0,0) self.xSize = 1800 self.ySize =","}' logFlag = 0 else: if vInc == 0: v0,v1,vi = self.GetInc(vBeg,vEnd) else:","1 logOffset = 0 while t < 1: logOffset += 1 t +=","0 and vMax == v1: v1 += 1 w = v1 - v0",">>self.fout, '/Helvetica findfont 12 scalefont setfont' if self.pageHeader != '': print >>self.fout, '(',self.pageHeader,')","- 1) # substract 1 from above inside parent? fix = '{ dup","continue indx += 1 print >>self.fout, x, 0.0 if (indx != 0) and","vi = vInc if vBeg > 0 and (logFlag==1 or (logFlag==0 and (vEnd/vBeg","m # if (vMax/f)%vInc != 0 or v1 % vInc != 0: if","!= 0 or v1 % vInc != 0: if v1 % vInc !=","= ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\ ' setrgbcolor } ' return rv","z print >>self.fout, endFun, type, '\\n' return #--- GetImage() # def GetImage(self): flog","int(v0 / m) * m if (v1 % m) != 0: v1 =","= True v0 = 1 v1 = len(vList) vi = 1 fix =","== 0: v1 = v0 + 1 w = 1 while w/f >=","= self.flog print >>self.fout, 'showpage\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage == 1: # size","(0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN = 11 self.colorRed = (0.8,0,0) self.colorGreen","else: print >>self.fout, x, y, z print >>self.fout, endFun, type, '\\n' return #---","g_indx, y, z else: print >>self.fout, x, y, z if (indx != 0)","self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc = xi self.xCount = len(xList) self.xList = xList","(0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack = (0,0,0) self.xSize = 1800 self.ySize = 900","k += 1 print >>self.fout, 'endFunction\\n' print >>self.fout, '18 { 0.72 0.52 0.5","= inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t = int(inputList[2]) if indx","f *= 10 # w = int(w/f) v0 = int(v0/f) v1 = int(v1/f)","[tMin tMax] [fname]' sys.exit(1) print 'tMin,tMax: ', tMin, tMax, 'fname: ', fname p","return rv #--- GetColorIndx(indx) # def GetColorIndx(self, indx): color = self.colors[indx % self.colorsN]","def\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi self.y1Count = len(yList) self.yfix1 =","in xList: if x == ' ' and indx == len(xList)-1: continue indx","> 1: s = int(v/(1000/d))/d if s*d == int(s)*d: s = int(s) r","' ' and indx == len(xList)-1: continue if len(yList) <= indx: continue y","int(s) r = str(s) + 'K' elif v >= 1: s = int(v*d)/d","print >>self.fout, endFun, type, '\\n' return #--- GetImage() # def GetImage(self): flog =","m else: vInc = m # if (vMax/f)%vInc != 0 or v1 %","self.xList = xList self.xDict = {} k = 1 for x in xList:","= xList self.xDict = {} k = 1 for x in xList: self.xDict[x]",">>self.fout, '/xfix { ', self.x0 - self.xInc - self.xOffset,' sub ', self.xInc, '","elif axis == 1: print >>self.fout, self.yfix1 # else: # print >>self.fout, '/yfix","continue y = yList[indx] if isinstance(zList,list): if len(zList) <= indx: continue z =","SeriesNames(self, names): indx = len(names) - 1 if indx == 0: return print","sub '+str(vi)+' div }' print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog, 'vList:","- self.xOffset,' sub ', self.xInc, ' div ', 0.0,' add } def\\n' if","self.xDict[x] print >>self.fout, g_indx, y, z else: print >>self.fout, x, y, z if",">>self.fout, '\\nshowpage\\nend' self.fout.close() #--- GetInc(vMin, vMax) def GetInc(self,vMin, vMax): ff = 1.0 while","self.yfix2 = '/yfix '+fix+' def\\n/yinc yinc2 def' print >>self.fout, 'axpos axlen add aypos","def' print >>self.fout, '/nextGraph { nextGraph3v } def' elif plotsPerPage == 2: print","-c quit' print >>flog, 'cmdStr: ', cmdStr output = commands.getoutput(cmdStr) print >>flog, 'output","-= 1 print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type) # def PlotVBars(self, xList, type):","self.flog print >>flog, 'graph xList: ', self.xList, ' xList: ', xList, \\ '","self.plotsPerPage = plotsPerPage self.yfix1 = '' self.yfix2 = '' self.xGrid = 1 self.yGrid","print >>self.fout, g_indx, y, z else: print >>self.fout, x, y, z print >>self.fout,","'('+ztitle+') vaxis2' if logFlag == 1: print >>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\n' for","', self.xList, ' xList: ', xList, \\ ' yList: ', yList print >>self.fout,","10.0 if d == 1 and float(v)/inc > 1.0: d = 10.0 if","= math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t < 0: t += 1",">>self.flog, ' '+t print >>self.fout, '('+t+')\\n' print >>self.fout, 'Mtitles\\n' # print >>self.fout, '('+title+')\\nMtitles\\n'","100: f *= 10 # w = int(w/f) v0 = int(v0/f) v1 =","v0Log = math.log10(v0) t = math.ceil(v0Log) ff = math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000","0 def\\n' return #--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if value == 'Off': v","m) * m if (v1 % m) != 0: v1 = int(v1 /","1: # size = ' -g1200x550 ' size = ' -g%dx%d ' %","else: v0 = vBeg v1 = vEnd vi = vInc if vBeg >","xlen): self.xLen = xlen print >>self.fout, '/xAxisLen %.2f def' % self.xLen print >>self.fout,","PlotVBars(self, xList, type): flog = self.flog print >>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\n' endFun","print >>self.fout, 'beginFunction\\n' endFun = 'endFunction\\n' indx = 0 for x in xList:","s = int(s) r = str(s) + 'G' elif v >= 1000000 and","self.colorWhite = (1,1,1) self.ColorBlack = (0,0,0) self.xSize = 1800 self.ySize = 900 shutil.copy('plot-header.ps',","# def SetColor(self, color): rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\ '","-g1200x550 ' size = ' -g%dx%d ' % (self.xSize, self.ySize) xres = int(100","if plotsPerPage == 4: print >>self.fout, '/doGraph { graph4v } def' print >>self.fout,","= fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1 =","logOffset += 1 t += 1 v0 = math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi","= '{ dup 0 eq { } { log '+str(logOffset)+' add } ifelse","{\\n 40 742 moveto' print >>self.fout, '/Helvetica findfont 12 scalefont setfont' if self.pageHeader","[] time1List = [] time2List = [] indx = 0 oldTime = 0","GetColorIndx(indx) # def GetColorIndx(self, indx): color = self.colors[indx % self.colorsN] rv = '","size = ' -g%dx%d ' % (self.xSize, self.ySize) xres = int(100 * self.xSize","self.fname = fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1","6.5 / (1200 * self.xLen)) yres = int(110 * self.ySize / 550) res","logInc = int(math.log10(v/inc)) d = math.pow(10,logInc) if d == 0: d = 10.0","SetColorIndx(self, indx, r, g, b): self.colors[indx][0] = r self.colors[indx][1] = g self.colors[indx][2] =",">>self.fout, '/nextGraph { nextGraph4v } def' elif plotsPerPage == 3: print >>self.fout, '/doGraph","z in zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]') if ztitle != '': print >>self.fout,","show' print >>self.fout, 'showpage\\n} bind def' print >>self.fout, 'doGraph' #--- End() # def","k*y k += 1 print >>self.fout, 'endFunction\\n' print >>self.fout, '18 { 0.72 0.52","plotsPerPage) # class PsPlot(object): def __init__(self, fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/'",">>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx -= 1 print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type)","print >>flog, 'output from gs command: ', output return self.foutPath+self.foutName+'.jpg' #--- Main #","(logFlag==1 or (logFlag==0 and (vEnd/vBeg > 100))): v0 = vBeg v1 = vEnd","def SetPlotPercentDir(self,value): if value == 'Vertical': print >>self.fout, '/plotNumPercentDir 1 def\\n' else: print","SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value == 'Vertical': print >>self.fout, '/plotNumPercentDir 1 def\\n' else:","0: if v1 % vInc != 0: v1 = int(v1/vInc)*vInc + vInc if","print >>self.fout, 0, k*y k += 1 print >>self.fout, 'endFunction\\n' print >>self.fout, '19","m) != 0: v1 = int(v1 / m) * m + m w","self.y1Count = 0 self.y1LogScale = 0 self.y2Inc = 0 self.y2Count = 0 self.y2LogScale","= vEnd logFlag = 1 v0Log = math.log10(v0) t = math.ceil(v0Log) ff =","xList: ', self.xList, ' xList: ', xList, \\ ' yList: ', yList print","0 and t >= tMin and t <= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t)","while True: vList.append(self.ValueConvert(v,vi)) if v > vEnd: break n += 1 v =","0.0,' add } def\\n' if axis == 2: print >>self.fout, self.yfix2 elif axis","self.y2Count = len(zList) print >>self.fout, '/Flag2Yaxes 1 def' self.yfix2 = '/yfix '+fix+' def\\n/yinc","type) # def PlotVBars(self, xList, type): flog = self.flog print >>self.fout, self.yfix1 print","< 0: t += 1 logOffset = 0 while t < 1: logOffset","def __init__(self, fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if self.foutPath == '/':","fin = open(fname, 'r') for inputLine in fin: inputLine = inputLine.replace(' ','') inputLine","1 w = v1 - v0 if w <= 10: vInc = 1","tMax = int(sys.argv[2]) fname = sys.argv[3] elif len(sys.argv) != 1: print 'USAGE: psPlot.py","rv #--- SetColor(color) # def SetColor(self, color): rv = ' { '+str(color[0])+' '+str(color[1])+'","return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\n\\nnextGraph\\n1 setlinewidth\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0)","xList: if x == ' ' and indx == len(xList)-1: continue indx +=","= yi self.y1Count = len(yList) self.yfix1 = '/yfix '+fix+' def\\n /yinc yinc1 def'","add 10 add def\\n' # Multiple lines in title are separated by '|'","parent? fix = '{ dup 0 eq { } { log '+str(logOffset)+' add","int(s)*d: s = int(s) r = str(s) + 'K' elif v >= 1:","x, y, z if (indx != 0) and (indx % 1000) == 0:","if (vMin % f) != 0 and vMax == v1: v1 += 1","= 0 while t < 1: logOffset += 1 t += 1 v0","= 1 fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' logFlag = 0","= math.ceil(v0Log) ff = math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t < 0:"],"string":"[\n \"0 for s in toStateList: if s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 +\",\n \"axis == 1: self.y1LogScale = v else: self.y2LogScale = v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title)\",\n \"'+str(logOffset)+' add } ifelse }' else: logFlag = 0 v = v0 vList\",\n \"for x in xList: if x == ' ' and indx == len(xList)-1:\",\n \"6.5 #inches self.seriesTitle = ' ' self.x0 = 0 self.xInc = 0 self.xCount\",\n \"PlotVBars(xList, type) # def PlotVBars(self, xList, type): flog = self.flog print >>self.fout, self.yfix1\",\n \"findfont 12 scalefont setfont' if self.pageHeader != '': print >>self.fout, '(',self.pageHeader,') show' if\",\n \"for t in titleLines: if len(t) > 0: print >>self.flog, ' '+t print\",\n \"> 0: ff *= 0.10 vMin *= 10 vMax *= 10 v0 =\",\n \"= k k=k+1 print >>self.fout, '/xfix ', fix, ' def\\\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc,\",\n \"g, b) # def SetColorIndx(self, indx, r, g, b): self.colors[indx][0] = r self.colors[indx][1]\",\n \">>self.fout, self.yfix1 # else: # print >>self.fout, '/yfix { 0 add } def\\\\n'\",\n \"= zList[indx] else: z = '' indx += 1 if self.xUniform == True:\",\n \"'K': yss = ys[:-1] factor = 1000 elif ys[-1:] == 'M': yss =\",\n \"state += 1 image = p.GetImage(sys.stdout) print 'Image file: ', image p.End() if\",\n \"# def End(self): print >>self.fout, '\\\\nshowpage\\\\nend' self.fout.close() #--- GetInc(vMin, vMax) def GetInc(self,vMin, vMax):\",\n \"k += 1 print >>self.fout, 'endFunction\\\\n' print >>self.fout, '19 { 0 0 0\",\n \"}' if isinstance(vBeg,list): vList = vBeg vList.append(' ') self.xUniform = True v0 =\",\n \"factor = 1000 elif zs[-1:] == 'M': zss = zs[:-1] factor = 1000000\",\n \"d = 10.0 if d == 1 and float(v)/inc > 1.0: d =\",\n \"= 'endFunction\\\\n' indx = 0 for x in xList: if x == '\",\n \"div ', 0.0,' add } def\\\\n' if axis == 2: print >>self.fout, self.yfix2\",\n \"SetXSize(xsize) def SetXSize(self, xsize): self.xSize = xsize return #--- SetYSize(ysize) def SetYSize(self, ysize):\",\n \"y, z else: print >>self.fout, x, y, z print >>self.fout, endFun, type, '\\\\n'\",\n \"print >>self.fout, self.xCount, k*y k += 1 print >>self.fout, 'endFunction\\\\n' print >>self.fout, '18\",\n \">>self.fout, 'showpage\\\\n} bind def' print >>self.fout, 'doGraph' #--- End() # def End(self): print\",\n \"print >>self.fout, '/nextGraph { nextGraph1v } def' print >>self.fout, '/showpage {\\\\n 40 742\",\n \"def\\\\n' print >>self.fout, 'beginFunction\\\\n' if isinstance(zList,list): endFun = 'endFunctionW\\\\n' else: endFun = 'endFunction\\\\n'\",\n \"int(math.log10(v/inc)) d = math.pow(10,logInc) if d == 0: d = 10.0 else: d\",\n \"1 v = v0 + n*vi fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div\",\n \"= 2 while k < 10: print >>self.fout, self.xCount, k*y k += 1\",\n \"> 0: print >>self.flog, ' '+t print >>self.fout, '('+t+')\\\\n' print >>self.fout, 'Mtitles\\\\n' #\",\n \"< 10: print >>self.fout, 0, k*y k += 1 print >>self.fout, 'endFunction\\\\n' print\",\n \"self.fout.close() #--- GetInc(vMin, vMax) def GetInc(self,vMin, vMax): ff = 1.0 while vMax <=\",\n \"def GetAxis(self, vBeg, vEnd, vInc, logFlag): fix = '{ 0 add }' if\",\n \"{ log '+str(logOffset)+' add } ifelse }' else: logFlag = 0 v =\",\n \"if x == ' ' and indx == len(xList)-1: continue indx += 1\",\n \">>self.fout, x, 0.0 if (indx != 0) and (indx % 1000) == 0:\",\n \"} def' print >>self.fout, '/nextGraph { nextGraph1v } def' print >>self.fout, '/showpage {\\\\n\",\n \"1000000 else: yss = ys y = float(yss)*factor/10.0 k = 2 while k\",\n \"elif value == 'On': v = 1 else: v = 0; if axis\",\n \"plotWbarsC', sys.stdout) state += 1 image = p.GetImage(sys.stdout) print 'Image file: ', image\",\n \"= 1 v0Log = math.log10(v0) t = math.ceil(v0Log) ff = math.modf(v0Log) if math.fabs(ff[0])\",\n \"return #--- PlotData(axis, xList, yList, zList, id, type) # def PlotData(self, axis, xList,\",\n \"False self.xLen = 6.5 #inches self.seriesTitle = ' ' self.x0 = 0 self.xInc\",\n \"= v0 + n*vi fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' print\",\n \"== 'M': yss = ys[:-1] factor = 1000000 else: yss = ys y\",\n \"v0 while v <= v1: vList.append(self.ValueConvert(v,0)) v *= 10 if v0 > 1:\",\n \"ys y = float(yss)*factor/10.0 k = 2 while k < 10: print >>self.fout,\",\n \"= [] indx = 0 for s in toStateList: if s == state:\",\n \"self.GetInc(vBeg,vEnd) else: v0 = vBeg v1 = vEnd vi = vInc if vBeg\",\n \"in yList: factor = 1 if ys[-1:] == 'K': yss = ys[:-1] factor\",\n \"'a') if plotsPerPage == 4: print >>self.fout, '/doGraph { graph4v } def' print\",\n \"(0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN = 11 self.colorRed = (0.8,0,0) self.colorGreen = (0,0.8,0)\",\n \"(0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN = 11 self.colorRed = (0.8,0,0)\",\n \"vBeg, vEnd, vInc, logFlag): fix = '{ 0 add }' if isinstance(vBeg,list): vList\",\n \"'{ '+str(v0-vi)+' sub '+str(vi)+' div }' logFlag = 0 else: if vInc ==\",\n \"0 eq { } { log '+str(logOffset)+' add } ifelse }' else: logFlag\",\n \"print >>self.fout, 'axpos axlen add aypos aylen' self.fout.write('[ ') for z in zList:\",\n \"<= indx: continue z = zList[indx] else: z = '' indx += 1\",\n \"= ' ' self.x0 = 0 self.xInc = 0 self.xCount = 0 self.xList\",\n \"while w/m > 100: m *= 10 if (v0 >= 0) and (v0\",\n \"'('+title+')\\\\nMtitles\\\\n' if logFlag == 1: print >>self.fout, 'beginFunction\\\\n' for ys in yList: factor\",\n \"self.ColorBlack = (0,0,0) self.xSize = 1800 self.ySize = 900 shutil.copy('plot-header.ps', self.fname) self.fout =\",\n \"PsPlot(object): def __init__(self, fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if self.foutPath ==\",\n \"self.y2LogScale = v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\\\n\\\\nnextGraph\\\\n1 setlinewidth\\\\n'\",\n \"v0 = vBeg v1 = vEnd logFlag = 1 v0Log = math.log10(v0) t\",\n \"zss = zs y = float(zss)*factor/10.0 k = 2 while k < 10:\",\n \"def SeriesNames(self, names): indx = len(names) - 1 if indx == 0: return\",\n \"0: print >>self.flog, ' '+t print >>self.fout, '('+t+')\\\\n' print >>self.fout, 'Mtitles\\\\n' # print\",\n \"1 fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' logFlag = 0 else:\",\n \"= str(s) + 'G' elif v >= 1000000 and inc > 1: s\",\n \"= int(v/(1000000000/d))/d if s*d == int(s)*d: s = int(s) r = str(s) +\",\n \"SetXLen(self, xlen): self.xLen = xlen print >>self.fout, '/xAxisLen %.2f def' % self.xLen print\",\n \"v = -1 elif value == 'On': v = 1 else: v =\",\n \"s = int(v/(1000000000/d))/d if s*d == int(s)*d: s = int(s) r = str(s)\",\n \"s*d == int(s)*d: s = int(s) r = str(s) + 'M' elif v\",\n \"# Multiple lines in title are separated by '|' print >>self.flog, 'Main Title:\",\n \"!= 0: v1 = int(v1/vInc)*vInc + vInc if (v0 % vInc) != 0:\",\n \"1 if indx == 0: return print >>self.fout, '('+self.seriesTitle+')' while indx >= 0:\",\n \"isinstance(vBeg,list): vList = vBeg vList.append(' ') self.xUniform = True v0 = 1 v1\",\n \"x print >>self.fout, endFun, type, '\\\\n' return #--- PlotData(axis, xList, yList, zList, id,\",\n \"= pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1 = '' self.yfix2 =\",\n \"quit' else: size = ' -g1200x1100 ' cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg\",\n \"{ graph3v } def' print >>self.fout, '/nextGraph { nextGraph3v } def' elif plotsPerPage\",\n \"'G' elif v >= 1000000 and inc > 1: s = int(v/(1000000/d))/d if\",\n \">>self.fout, 'beginFunction\\\\n' for zs in zList: factor = 1 if zs[-1:] == 'K':\",\n \"type) # def PlotData(self, axis, xList, yList, zList, id, type): flog = self.flog\",\n \"'/Flag2Yaxes 1 def' self.yfix2 = '/yfix '+fix+' def\\\\n/yinc yinc2 def' print >>self.fout, 'axpos\",\n \"== 'On': v = 1 else: v = 0; if axis == 1:\",\n \"= self.flog print >>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\\\n' endFun = 'endFunction\\\\n' indx =\",\n \"sys.exit(1) print 'tMin,tMax: ', tMin, tMax, 'fname: ', fname p = PsPlot('./p', 'Header',\",\n \"indx = 0 for s in toStateList: if s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx])\",\n \"z if (indx != 0) and (indx % 1000) == 0: print >>self.fout,\",\n \">>self.fout, '/nextGraph { nextGraph1v } def' print >>self.fout, '/showpage {\\\\n 40 742 moveto'\",\n \"GetColorIndx(self, indx): color = self.colors[indx % self.colorsN] rv = ' { '+str(color[0])+' '+str(color[1])+'\",\n \"yList[indx] if isinstance(zList,list): if len(zList) <= indx: continue z = zList[indx] else: z\",\n \"= [] v = v0 while v <= v1: vList.append(self.ValueConvert(v,0)) v *= 10\",\n \"ysize return #--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ', level, 'def\\\\n'\",\n \"fname p = PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList = [] toStateList = []\",\n \"len(vList) vi = 1 fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' logFlag\",\n \">>self.fout, 'axpos axlen add aypos aylen' self.fout.write('[ ') for z in zList: self.fout.write('('+str(z)+')\",\n \"self.xUniform = True v0 = 1 v1 = len(vList) vi = 1 fix\",\n \"= (0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack =\",\n \"', tMin, tMax, 'fname: ', fname p = PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList\",\n \"types import math #gsPath = '/usr/local/bin/gs' gsPath = 'gs' logFile = '/dev/null' #logFile\",\n \"print >>self.fout, x, y, z if (indx != 0) and (indx % 1000)\",\n \"= int(vMax+0.99) f = 1 w = v1 - v0 if w ==\",\n \"'') i1 = inputLine.find('(') i2 = inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])]\",\n \"self.xOffset,' sub ', self.xInc, ' div ', 0.0,' add } def\\\\n' if axis\",\n \"= os.path.dirname(fname)+'/' if self.foutPath == '/': self.foutPath = '' self.foutName = os.path.basename(fname) self.fname\",\n \"') self.fout.write(' ]') if ztitle != '': print >>self.fout, '('+ztitle+') vaxis2' if logFlag\",\n \"= r self.colors[indx][1] = g self.colors[indx][2] = b return rv #--- outputPS(string) #\",\n \"== 1: print >>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\\\n' for zs in zList: factor\",\n \"i1 = inputLine.find('(') i2 = inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2\",\n \"-c quit' else: size = ' -g1200x1100 ' cmdStr = gsPath + '\",\n \"print >>self.fout, '/showpage {\\\\n 40 742 moveto' print >>self.fout, '/Helvetica findfont 12 scalefont\",\n \"quit' print >>flog, 'cmdStr: ', cmdStr output = commands.getoutput(cmdStr) print >>flog, 'output from\",\n \"zi self.y2Count = len(zList) print >>self.fout, '/Flag2Yaxes 1 def' self.yfix2 = '/yfix '+fix+'\",\n \"if vBeg > 0 and (logFlag==1 or (logFlag==0 and (vEnd/vBeg > 100))): v0\",\n \"#gsPath = '/usr/local/bin/gs' gsPath = 'gs' logFile = '/dev/null' #logFile = 'plot.log' #---\",\n \"rv #--- outputPS(string) # def outputPS(self, s): print >>self.fout, s #--- SeriesNames(names) #\",\n \"= zi self.y2Count = len(zList) print >>self.fout, '/Flag2Yaxes 1 def' self.yfix2 = '/yfix\",\n \"endFun+type+'\\\\nbeginFunction\\\\n' if self.xUniform == True: print >>self.fout, g_indx, y, z else: print >>self.fout,\",\n \"(f*ff) return v0, v1, vInc #--- ValueConvert(v) # def ValueConvert(self, v, inc): if\",\n \"endFun, type, '\\\\n' return #--- PlotData(axis, xList, yList, zList, id, type) # def\",\n \"xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\\\n[ ') for y in yList: self.fout.write('('+str(y)+') ') print\",\n \"size = ' -g1200x550 ' size = ' -g%dx%d ' % (self.xSize, self.ySize)\",\n \"s in toStateList: if s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx\",\n \"xlen print >>self.fout, '/xAxisLen %.2f def' % self.xLen print >>self.fout, 'doGraph' return #---\",\n \"print >>self.fout, 'showpage\\\\n} bind def' print >>self.fout, 'doGraph' #--- End() # def End(self):\",\n \"+= 1 w = v1 - v0 if w <= 10: vInc =\",\n \"by '|' print >>self.flog, 'Main Title: '+title titleLines = title.split('|') for t in\",\n \"return print >>self.fout, '('+self.seriesTitle+')' while indx >= 0: if names[indx] != None: print\",\n \"f = 1 w = v1 - v0 if w == 0: v1\",\n \">>self.fout, '/yfix { 0 add } def\\\\n' print >>self.fout, 'beginFunction\\\\n' if isinstance(zList,list): endFun\",\n \"zs in zList: factor = 1 if zs[-1:] == 'K': zss = zs[:-1]\",\n \"2: fname = sys.argv[1] elif len(sys.argv) == 3: tMin = int(sys.argv[1]) tMax =\",\n \"= 1 if ys[-1:] == 'K': yss = ys[:-1] factor = 1000 elif\",\n \"1 w = v1 - v0 if w == 0: v1 = v0\",\n \"# def PlotData(self, axis, xList, yList, zList, id, type): flog = self.flog print\",\n \"40 742 moveto' print >>self.fout, '/Helvetica findfont 12 scalefont setfont' if self.pageHeader !=\",\n \"x in xList: if x == ' ' and indx == len(xList)-1: continue\",\n \"== v1: v1 += 1 w = v1 - v0 if w <=\",\n \"print >>flog, 'cmdStr: ', cmdStr output = commands.getoutput(cmdStr) print >>flog, 'output from gs\",\n \"int(v1 / m) * m + m w = v1 - v0 if\",\n \"-r100x100 '+self.fname+' -c quit' print >>flog, 'cmdStr: ', cmdStr output = commands.getoutput(cmdStr) print\",\n \"= str(s) + 'K' elif v >= 1: s = int(v*d)/d if s*d\",\n \"elif zs[-1:] == 'M': zss = zs[:-1] factor = 1000000 else: zss =\",\n \"== ' ' and indx == len(xList)-1: continue if len(yList) <= indx: continue\",\n \"print >>self.fout, self.yfix1 # else: # print >>self.fout, '/yfix { 0 add }\",\n \"v1 = vEnd logFlag = 1 v0Log = math.log10(v0) t = math.ceil(v0Log) ff\",\n \"fromStateList = [] toStateList = [] time1List = [] time2List = [] indx\",\n \"0 self.xList = [] self.xDict = {} self.y1Inc = 0 self.y1Count = 0\",\n \"zs[-1:] == 'K': zss = zs[:-1] factor = 1000 elif zs[-1:] == 'M':\",\n \"# def PlotVBars(self, xList, type): flog = self.flog print >>self.fout, self.yfix1 print >>self.fout,\",\n \"!= 0: v0 = int(v0/vInc)*vInc v0 += vInc v0 *= (f*ff) v1 *=\",\n \"'+id+'\\\\n%\\\\n' print >>self.fout, '/xfix { ', self.x0 - self.xInc - self.xOffset,' sub ',\",\n \">>self.fout, '/doGraph { graph2v } def' print >>self.fout, '/nextGraph { nextGraph2v } def'\",\n \"'On': v = 1 else: v = 0; if axis == 1: self.y1LogScale\",\n \"True: print >>self.fout, g_indx, y, z else: print >>self.fout, x, y, z print\",\n \"{ graph2v } def' print >>self.fout, '/nextGraph { nextGraph2v } def' else: print\",\n \"inside parent? fix = '{ dup 0 eq { } { log '+str(logOffset)+'\",\n \"- 1 if indx == 0: return print >>self.fout, '('+self.seriesTitle+')' while indx >=\",\n \"self.ySize / 550) res = ' -r%dx%d ' % (xres, yres) cmdStr =\",\n \"+ m w = v1 - v0 if w <= 5*m: vInc =\",\n \"print 'tMin,tMax: ', tMin, tMax, 'fname: ', fname p = PsPlot('./p', 'Header', 'SubHeader',\",\n \"'' self.yfix2 = '' self.xGrid = 1 self.yGrid = 1 self.xUniform = False\",\n \"vList print >>self.flog, 'logFlag: ', logFlag, ' fix: ', fix return v0,v1,vi,vList,fix,logFlag #---\",\n \"!= 0: if v1 % vInc != 0: v1 = int(v1/vInc)*vInc + vInc\",\n \"for y in yList: self.fout.write('('+str(y)+') ') print >>self.fout, ' ]' print >>self.fout, '('+xtitle+')\\\\n('+ytitle+')\\\\naxes\\\\n'\",\n \">>self.fout, 'beginFunction\\\\n' endFun = 'endFunction\\\\n' indx = 0 for x in xList: if\",\n \"= ys[:-1] factor = 1000000 else: yss = ys y = float(yss)*factor/10.0 k\",\n \"!= 1: print 'USAGE: psPlot.py [tMin tMax] [fname]' sys.exit(1) print 'tMin,tMax: ', tMin,\",\n \"break n += 1 v = v0 + n*vi fix = '{ '+str(v0-vi)+'\",\n \">= 1000 and inc > 1: s = int(v/(1000/d))/d if s*d == int(s)*d:\",\n \"div }' print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog, 'vList: ', vList\",\n \"m = 10 while w/m > 100: m *= 10 if (v0 >=\",\n \"= '' self.xGrid = 1 self.yGrid = 1 self.xUniform = False self.xLen =\",\n \"print >>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\\\n' for zs in zList: factor = 1\",\n \"' -r%dx%d ' % (xres, yres) cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE\",\n \"(xres, yres) cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+' -c\",\n \"= 11 self.colorRed = (0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua =\",\n \"(v0 % m) != 0: v0 = int(v0 / m) * m if\",\n \"cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' print >>flog,\",\n \"inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t = int(inputList[2]) if indx !=\",\n \"= 0 self.xOffset = 0 self.colors = [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3),\",\n \"add } ifelse }' else: logFlag = 0 v = v0 vList =\",\n \"print >>self.fout, x, y, z print >>self.fout, endFun, type, '\\\\n' return #--- GetImage()\",\n \"= False self.xLen = 6.5 #inches self.seriesTitle = ' ' self.x0 = 0\",\n \"v0 = 1 v1 = len(vList) vi = 1 fix = '{ '+str(v0-vi)+'\",\n \"python2 import sys import random import os.path import shutil import commands import types\",\n \"print >>self.fout, '/nextGraph { nextGraph2v } def' else: print >>self.fout, '/doGraph { graph1v\",\n \"isinstance(zList,list): endFun = 'endFunctionW\\\\n' else: endFun = 'endFunction\\\\n' indx = 0 for x\",\n \"v1 - v0 if w <= 5*m: vInc = m/2 else: vInc =\",\n \"= int(s) r = str(s) + 'K' elif v >= 1: s =\",\n \"s*d == int(s)*d: s = int(s) r = str(s) + 'G' elif v\",\n \"= 0 self.y2Count = 0 self.y2LogScale = 0 self.xOffset = 0 self.colors =\",\n \"print >>flog, 'graph xList: ', self.xList, ' xList: ', xList, \\\\ ' yList:\",\n \"1: s = int(v/(1000000/d))/d if s*d == int(s)*d: s = int(s) r =\",\n \">>self.fout, '/xfix ', fix, ' def\\\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi\",\n \"len(sys.argv) == 3: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) elif len(sys.argv) == 4:\",\n \"= len(names) - 1 if indx == 0: return print >>self.fout, '('+self.seriesTitle+')' while\",\n \"= '{ '+str(v0-vi)+' sub '+str(vi)+' div }' logFlag = 0 else: if vInc\",\n \"oldTime = t indx += 1 p.SetPlot(tMin, tMax, 0, 0, 2, 0, 'Time',\",\n \"inputLine.replace(' ','') inputLine = inputLine.replace(\\\"'\\\", '') i1 = inputLine.find('(') i2 = inputLine.find(')') inputList\",\n \"#inches self.seriesTitle = ' ' self.x0 = 0 self.xInc = 0 self.xCount =\",\n \"1000 and inc > 1: s = int(v/(1000/d))/d if s*d == int(s)*d: s\",\n \"while v <= v1: vList.append(self.ValueConvert(v,0)) v *= 10 if v0 > 1: logOffset\",\n \"4: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) fname = sys.argv[3] elif len(sys.argv) !=\",\n \"= sys.argv[3] elif len(sys.argv) != 1: print 'USAGE: psPlot.py [tMin tMax] [fname]' sys.exit(1)\",\n \"print >>self.fout, '19 { 0 0 0 setrgbcolor } plotSymbolsC\\\\n' return y1 #---\",\n \"Title: '+title titleLines = title.split('|') for t in titleLines: if len(t) > 0:\",\n \"t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx += 1 p.PlotData(1,t1List, t2List, sList, 'Test', '0.1\",\n \"1 print >>self.fout, 'endFunction\\\\n' print >>self.fout, '19 { 0 0 0 setrgbcolor }\",\n \"self.y1Inc = yi self.y1Count = len(yList) self.yfix1 = '/yfix '+fix+' def\\\\n /yinc yinc1\",\n \"print >>self.fout, '\\\\nshowpage\\\\nend' self.fout.close() #--- GetInc(vMin, vMax) def GetInc(self,vMin, vMax): ff = 1.0\",\n \"0.0 if (indx != 0) and (indx % 1000) == 0: print >>self.fout,\",\n \"m + m w = v1 - v0 if w <= 5*m: vInc\",\n \"= 0; if axis == 1: self.y1LogScale = v else: self.y2LogScale = v\",\n \"from above inside parent? fix = '{ dup 0 eq { } {\",\n \"== len(xList)-1: continue indx += 1 print >>self.fout, x, 0.0 if (indx !=\",\n \"def SetPlotYLogScale(self,axis,value): if value == 'Off': v = -1 elif value == 'On':\",\n \"zss = zs[:-1] factor = 1000 elif zs[-1:] == 'M': zss = zs[:-1]\",\n \"print >>self.fout, '/xAxisLen %.2f def' % self.xLen print >>self.fout, 'doGraph' return #--- SetXSize(xsize)\",\n \"def GetInc(self,vMin, vMax): ff = 1.0 while vMax <= 1 and vMax >\",\n \"vInc = m/2 else: vInc = m else: vInc = m # if\",\n \"def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count\",\n \"0 while state <= 4: t1List = [] t2List = [] sList =\",\n \"#--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if value == 'Off': v = -1 elif\",\n \"'/plotNumPercentDir 0 def\\\\n' return #--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if value == 'Off':\",\n \"<= 20: vInc = 2 else: m = 10 while w/m > 100:\",\n \"0 0 setrgbcolor } plotSymbolsC\\\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def\",\n \"logFlag = 0 v = v0 vList = [] n = 0 while\",\n \"inc > 1: s = int(v/(1000000/d))/d if s*d == int(s)*d: s = int(s)\",\n \"gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' print >>flog, 'cmdStr: ',\",\n \"v0 = math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList = [] v\",\n \"(0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack = (0,0,0) self.xSize = 1800\",\n \"self.colors = [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0),\",\n \"else: print >>self.fout, '/plotNumPercentDir 0 def\\\\n' return #--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if\",\n \"if self.xUniform == True: g_indx = self.xDict[x] print >>self.fout, g_indx, y, z else:\",\n \"'' indx += 1 if self.xUniform == True: g_indx = self.xDict[x] print >>self.fout,\",\n \"(f*ff) v1 *= (f*ff) vInc *= (f*ff) return v0, v1, vInc #--- ValueConvert(v)\",\n \"= math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList = [] v =\",\n \"print >>self.fout, '('+self.seriesTitle+')' while indx >= 0: if names[indx] != None: print >>self.fout,\",\n \"self.flog = open('./psPlot.out', 'a') if plotsPerPage == 4: print >>self.fout, '/doGraph { graph4v\",\n \"if s*d == int(s)*d: s = int(s) r = str(s) + 'G' elif\",\n \"726 moveto\\\\n (',self.pageSubHeader,') show' print >>self.fout, 'showpage\\\\n} bind def' print >>self.fout, 'doGraph' #---\",\n \"1: self.y1LogScale = v else: self.y2LogScale = v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def\",\n \"= ys[:-1] factor = 1000 elif ys[-1:] == 'M': yss = ys[:-1] factor\",\n \"== True: print >>self.fout, g_indx, y, z else: print >>self.fout, x, y, z\",\n \"for zs in zList: factor = 1 if zs[-1:] == 'K': zss =\",\n \"'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state += 1 image = p.GetImage(sys.stdout)\",\n \"logFlag = 1 v0Log = math.log10(v0) t = math.ceil(v0Log) ff = math.modf(v0Log) if\",\n \"'+str(color[2])+ \\\\ ' setrgbcolor } ' return rv #--- SetColorIndx(indx, r, g, b)\",\n \"pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1 = '' self.yfix2 = '' self.xGrid = 1\",\n \"0 and (logFlag==1 or (logFlag==0 and (vEnd/vBeg > 100))): v0 = vBeg v1\",\n \"= [] time1List = [] time2List = [] indx = 0 oldTime =\",\n \"= stateList[int(inputList[1])] t = int(inputList[2]) if indx != 0 and t >= tMin\",\n \"2 else: m = 10 while w/m > 100: m *= 10 if\",\n \"in fin: inputLine = inputLine.replace(' ','') inputLine = inputLine.replace(\\\"'\\\", '') i1 = inputLine.find('(')\",\n \"xList: ', xList, \\\\ ' yList: ', yList print >>self.fout, '%\\\\n% Plot '+id+'\\\\n%\\\\n'\",\n \"= vEnd vi = vInc if vBeg > 0 and (logFlag==1 or (logFlag==0\",\n \"#logFile = 'plot.log' #--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) # class PsPlot(object): def\",\n \"t1List = [] t2List = [] sList = [] indx = 0 for\",\n \"print >>self.fout, '40 726 moveto\\\\n (',self.pageSubHeader,') show' print >>self.fout, 'showpage\\\\n} bind def' print\",\n \"endFun = 'endFunctionW\\\\n' else: endFun = 'endFunction\\\\n' indx = 0 for x in\",\n \"= 1 if zs[-1:] == 'K': zss = zs[:-1] factor = 1000 elif\",\n \">= 0) and (v0 % m) != 0: v0 = int(v0 / m)\",\n \"SetYSize(self, ysize): self.ySize = ysize return #--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print >>self.fout,\",\n \"self.fout.write('[ ') for z in zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]') if ztitle !=\",\n \"] self.colorsN = 11 self.colorRed = (0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue = (0,0,0.8)\",\n \"moveto' print >>self.fout, '/Helvetica findfont 12 scalefont setfont' if self.pageHeader != '': print\",\n \"= [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0)\",\n \"< math.fabs(v0Log)/1000 and t < 0: t += 1 logOffset = 0 while\",\n \"/ m) * m if (v1 % m) != 0: v1 = int(v1\",\n \"p.SetPlot(tMin, tMax, 0, 0, 2, 0, 'Time', 'Socket/State', 'Chavey\\\\'s Plot') state = 0\",\n \"== 'K': yss = ys[:-1] factor = 1000 elif ys[-1:] == 'M': yss\",\n \"= PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList = [] toStateList = [] time1List =\",\n \">= 1000000000 and inc > 1: s = int(v/(1000000000/d))/d if s*d == int(s)*d:\",\n \"vInc != 0: v1 = int(v1/vInc)*vInc + vInc if (v0 % vInc) !=\",\n \"= v0 while v <= v1: vList.append(self.ValueConvert(v,0)) v *= 10 if v0 >\",\n \"} def\\\\n' if axis == 2: print >>self.fout, self.yfix2 elif axis == 1:\",\n \">>self.fout, 'beginFunction\\\\n' for ys in yList: factor = 1 if ys[-1:] == 'K':\",\n \"names[indx] != None: print >>self.fout, '('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx\",\n \"self.xLen)) yres = int(110 * self.ySize / 550) res = ' -r%dx%d '\",\n \"continue if len(yList) <= indx: continue y = yList[indx] if isinstance(zList,list): if len(zList)\",\n \"') self.xUniform = True v0 = 1 v1 = len(vList) vi = 1\",\n \"= 1 v1 = len(vList) vi = 1 fix = '{ '+str(v0-vi)+' sub\",\n \"k < 10: print >>self.fout, self.xCount, k*y k += 1 print >>self.fout, 'endFunction\\\\n'\",\n \"= 1 vList = [] v = v0 while v <= v1: vList.append(self.ValueConvert(v,0))\",\n \"} def\\\\n' print >>self.fout, 'beginFunction\\\\n' if isinstance(zList,list): endFun = 'endFunctionW\\\\n' else: endFun =\",\n \"* self.ySize / 550) res = ' -r%dx%d ' % (xres, yres) cmdStr\",\n \"'logFlag: ', logFlag, ' fix: ', fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self,\",\n \"v else: self.y2LogScale = v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout,\",\n \"+= 1 print >>self.fout, 'endFunction\\\\n' print >>self.fout, '19 { 0 0 0 setrgbcolor\",\n \"plotsPerPage == 4: print >>self.fout, '/doGraph { graph4v } def' print >>self.fout, '/nextGraph\",\n \">>self.fout, g_indx, y, z else: print >>self.fout, x, y, z print >>self.fout, endFun,\",\n \"return rv #--- SetColor(color) # def SetColor(self, color): rv = ' { '+str(color[0])+'\",\n \"(vEnd/vBeg > 100))): v0 = vBeg v1 = vEnd logFlag = 1 v0Log\",\n \">>self.fout, 'showpage\\\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage == 1: # size = ' -g1200x550\",\n \"def SetXLen(self, xlen): self.xLen = xlen print >>self.fout, '/xAxisLen %.2f def' % self.xLen\",\n \"#--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) # class PsPlot(object): def __init__(self, fname, pageHeader,\",\n \"0 v = v0 vList = [] n = 0 while True: vList.append(self.ValueConvert(v,vi))\",\n \"math.log10(v0) t = math.ceil(v0Log) ff = math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t\",\n \"b): self.colors[indx][0] = r self.colors[indx][1] = g self.colors[indx][2] = b return rv #---\",\n \"str(int(v*100)/100.0) return r #--- GetAxis(vBeg, vEnd, vInc, logFlag) # def GetAxis(self, vBeg, vEnd,\",\n \"', 0.0,' add } def\\\\n' if axis == 2: print >>self.fout, self.yfix2 elif\",\n \"0: v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0 = vBeg v1 = vEnd vi =\",\n \"20: vInc = 2 else: m = 10 while w/m > 100: m\",\n \"= v1 - v0 if w <= 5*m: vInc = m/2 else: vInc\",\n \"SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ', level, 'def\\\\n' return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if\",\n \"factor = 1 if zs[-1:] == 'K': zss = zs[:-1] factor = 1000\",\n \"x in xList: self.xDict[x] = k k=k+1 print >>self.fout, '/xfix ', fix, '\",\n \"+self.fname+' -c quit' # cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+'\",\n \"0: d = 10.0 else: d = 10.0 if d == 1 and\",\n \"vInc = m # if (vMax/f)%vInc != 0 or v1 % vInc !=\",\n \"' % (xres, yres) cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res\",\n \"names): indx = len(names) - 1 if indx == 0: return print >>self.fout,\",\n \"import random import os.path import shutil import commands import types import math #gsPath\",\n \"1000 elif ys[-1:] == 'M': yss = ys[:-1] factor = 1000000 else: yss\",\n \"def GetColorIndx(self, indx): color = self.colors[indx % self.colorsN] rv = ' { '+str(color[0])+'\",\n \"#--- SeriesNames(names) # def SeriesNames(self, names): indx = len(names) - 1 if indx\",\n \"== 4: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) fname = sys.argv[3] elif len(sys.argv)\",\n \"self.xOffset = 0 self.colors = [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0),\",\n \"= v1 - v0 if w <= 10: vInc = 1 elif w\",\n \"bind def' print >>self.fout, 'doGraph' #--- End() # def End(self): print >>self.fout, '\\\\nshowpage\\\\nend'\",\n \"s*0.20) indx += 1 p.PlotData(1,t1List, t2List, sList, 'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC',\",\n \">>self.fout, 'doGraph' #--- End() # def End(self): print >>self.fout, '\\\\nshowpage\\\\nend' self.fout.close() #--- GetInc(vMin,\",\n \"def' elif plotsPerPage == 3: print >>self.fout, '/doGraph { graph3v } def' print\",\n \"fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' logFlag = 0 else: if\",\n \"'+str(color[1])+' '+str(color[2])+ \\\\ ' setrgbcolor } ' return rv #--- GetColorIndx(indx) # def\",\n \"print >>self.fout, '/plotNumPercentDir 1 def\\\\n' else: print >>self.fout, '/plotNumPercentDir 0 def\\\\n' return #---\",\n \"t2List = [] sList = [] indx = 0 for s in toStateList:\",\n \"nextGraph4v } def' elif plotsPerPage == 3: print >>self.fout, '/doGraph { graph3v }\",\n \"vInc = 1 elif w <= 20: vInc = 2 else: m =\",\n \"'showpage\\\\n} bind def' print >>self.fout, 'doGraph' #--- End() # def End(self): print >>self.fout,\",\n \"'+str(color[2])+ \\\\ ' setrgbcolor } ' return rv #--- GetColorIndx(indx) # def GetColorIndx(self,\",\n \"' return rv #--- SetColorIndx(indx, r, g, b) # def SetColorIndx(self, indx, r,\",\n \"t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx += 1 p.PlotData(1,t1List, t2List, sList, 'Test', '0.1 in\",\n \"0, 2, 0, 'Time', 'Socket/State', 'Chavey\\\\'s Plot') state = 0 while state <=\",\n \"in xList: self.xDict[x] = k k=k+1 print >>self.fout, '/xfix ', fix, ' def\\\\n'\",\n \"= g self.colors[indx][2] = b return rv #--- outputPS(string) # def outputPS(self, s):\",\n \"while indx >= 0: if names[indx] != None: print >>self.fout, '('+names[indx]+') ' print\",\n \"elif len(sys.argv) == 4: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) fname = sys.argv[3]\",\n \"def' % self.xLen print >>self.fout, 'doGraph' return #--- SetXSize(xsize) def SetXSize(self, xsize): self.xSize\",\n \"if ys[-1:] == 'K': yss = ys[:-1] factor = 1000 elif ys[-1:] ==\",\n \"print 'USAGE: psPlot.py [tMin tMax] [fname]' sys.exit(1) print 'tMin,tMax: ', tMin, tMax, 'fname:\",\n \"inputLine in fin: inputLine = inputLine.replace(' ','') inputLine = inputLine.replace(\\\"'\\\", '') i1 =\",\n \"1: logOffset -= (math.log10(v0) - 1) # substract 1 from above inside parent?\",\n \"'output from gs command: ', output return self.foutPath+self.foutName+'.jpg' #--- Main # def main():\",\n \"w = v1 - v0 if w <= 10: vInc = 1 elif\",\n \"print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog, 'vList: ', vList print >>self.flog,\",\n \"' def\\\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi self.y1Count = len(yList) self.yfix1\",\n \"= inputLine.replace(\\\"'\\\", '') i1 = inputLine.find('(') i2 = inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1\",\n \"graph2v } def' print >>self.fout, '/nextGraph { nextGraph2v } def' else: print >>self.fout,\",\n \"', self.x0 - self.xInc - self.xOffset,' sub ', self.xInc, ' div ', 0.0,'\",\n \"(0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite = (1,1,1)\",\n \"indx == len(xList)-1: continue if len(yList) <= indx: continue y = yList[indx] if\",\n \"# w = int(w/f) v0 = int(v0/f) v1 = int(v1/f) if (vMin %\",\n \"xList, type): flog = self.flog print >>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\\\n' endFun =\",\n \"= 0 self.colors = [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5),\",\n \"print >>self.flog, ' '+t print >>self.fout, '('+t+')\\\\n' print >>self.fout, 'Mtitles\\\\n' # print >>self.fout,\",\n \"') for z in zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]') if ztitle != '':\",\n \"vBeg v1 = vEnd logFlag = 1 v0Log = math.log10(v0) t = math.ceil(v0Log)\",\n \"= sys.argv[1] elif len(sys.argv) == 3: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) elif\",\n \">>self.fout, '('+title+')\\\\nMtitles\\\\n' if logFlag == 1: print >>self.fout, 'beginFunction\\\\n' for ys in yList:\",\n \"10: vInc = 1 elif w <= 20: vInc = 2 else: m\",\n \"0: t += 1 logOffset = 0 while t < 1: logOffset +=\",\n \"v1 *= (f*ff) vInc *= (f*ff) return v0, v1, vInc #--- ValueConvert(v) #\",\n \"self.x0 = 0 self.xInc = 0 self.xCount = 0 self.xList = [] self.xDict\",\n \"self.colorsN = 11 self.colorRed = (0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua\",\n \"== 2: print >>self.fout, '/doGraph { graph2v } def' print >>self.fout, '/nextGraph {\",\n \"int(w/f) v0 = int(v0/f) v1 = int(v1/f) if (vMin % f) != 0\",\n \"inc): if inc > 0: logInc = int(math.log10(v/inc)) d = math.pow(10,logInc) if d\",\n \"<= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime = t indx += 1 p.SetPlot(tMin,\",\n \"= str(s) + 'M' elif v >= 1000 and inc > 1: s\",\n \"'cmdStr: ', cmdStr output = commands.getoutput(cmdStr) print >>flog, 'output from gs command: ',\",\n \"' -g%dx%d ' % (self.xSize, self.ySize) xres = int(100 * self.xSize * 6.5\",\n \"True v0 = 1 v1 = len(vList) vi = 1 fix = '{\",\n \"== 3: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) elif len(sys.argv) == 4: tMin\",\n \"+ 1 w = 1 while w/f >= 100: f *= 10 #\",\n \"== 'Off': v = -1 elif value == 'On': v = 1 else:\",\n \">>self.fout, ' ]' print >>self.fout, '('+xtitle+')\\\\n('+ytitle+')\\\\naxes\\\\n' print >>self.fout, self.xGrid, self.yGrid, ' grid\\\\n' print\",\n \"zs[:-1] factor = 1000000 else: zss = zs y = float(zss)*factor/10.0 k =\",\n \"type, '\\\\n' return #--- GetImage() # def GetImage(self): flog = self.flog print >>self.fout,\",\n \"value == 'On': v = 1 else: v = 0; if axis ==\",\n \">>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\\\n' endFun = 'endFunction\\\\n' indx = 0 for x\",\n \"= os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage =\",\n \"r, g, b) # def SetColorIndx(self, indx, r, g, b): self.colors[indx][0] = r\",\n \"d == 0: d = 10.0 else: d = 10.0 if d ==\",\n \"plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if self.foutPath == '/': self.foutPath = '' self.foutName =\",\n \"while k < 10: print >>self.fout, 0, k*y k += 1 print >>self.fout,\",\n \"# def GetColorIndx(self, indx): color = self.colors[indx % self.colorsN] rv = ' {\",\n \"self.xLen = xlen print >>self.fout, '/xAxisLen %.2f def' % self.xLen print >>self.fout, 'doGraph'\",\n \"r = str(s) else: r = str(int(v*100)/100.0) return r #--- GetAxis(vBeg, vEnd, vInc,\",\n \"0 add } def\\\\n' print >>self.fout, 'beginFunction\\\\n' if isinstance(zList,list): endFun = 'endFunctionW\\\\n' else:\",\n \"== 1: # size = ' -g1200x550 ' size = ' -g%dx%d '\",\n \"vMax > 0: ff *= 0.10 vMin *= 10 vMax *= 10 v0\",\n \"b return rv #--- outputPS(string) # def outputPS(self, s): print >>self.fout, s #---\",\n \"vInc, logFlag) # def GetAxis(self, vBeg, vEnd, vInc, logFlag): fix = '{ 0\",\n \"= vInc if vBeg > 0 and (logFlag==1 or (logFlag==0 and (vEnd/vBeg >\",\n \"g self.colors[indx][2] = b return rv #--- outputPS(string) # def outputPS(self, s): print\",\n \"vInc if vBeg > 0 and (logFlag==1 or (logFlag==0 and (vEnd/vBeg > 100))):\",\n \"self.fout.write(' ]\\\\n[ ') for y in yList: self.fout.write('('+str(y)+') ') print >>self.fout, ' ]'\",\n \"> 1: logOffset -= (math.log10(v0) - 1) # substract 1 from above inside\",\n \"y = float(yss)*factor/10.0 k = 2 while k < 10: print >>self.fout, 0,\",\n \"aylen' self.fout.write('[ ') for z in zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]') if ztitle\",\n \">>self.fout, '('+self.seriesTitle+')' while indx >= 0: if names[indx] != None: print >>self.fout, '('+names[indx]+')\",\n \"(indx != 0) and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' print\",\n \"w <= 5*m: vInc = m/2 else: vInc = m else: vInc =\",\n \"else: d = 10.0 if d == 1 and float(v)/inc > 1.0: d\",\n \"zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]') if ztitle != '': print >>self.fout, '('+ztitle+') vaxis2'\",\n \"#--- SetColorIndx(indx, r, g, b) # def SetColorIndx(self, indx, r, g, b): self.colors[indx][0]\",\n \"yList: ', yList print >>self.fout, '%\\\\n% Plot '+id+'\\\\n%\\\\n' print >>self.fout, '/xfix { ',\",\n \"yss = ys[:-1] factor = 1000000 else: yss = ys y = float(yss)*factor/10.0\",\n \"w = 1 while w/f >= 100: f *= 10 # w =\",\n \"v0 + 1 w = 1 while w/f >= 100: f *= 10\",\n \"if v0 > 1: logOffset -= (math.log10(v0) - 1) # substract 1 from\",\n \"int(sys.argv[2]) fname = sys.argv[3] elif len(sys.argv) != 1: print 'USAGE: psPlot.py [tMin tMax]\",\n \"1 if zs[-1:] == 'K': zss = zs[:-1] factor = 1000 elif zs[-1:]\",\n \"'M' elif v >= 1000 and inc > 1: s = int(v/(1000/d))/d if\",\n \"* 6.5 / (1200 * self.xLen)) yres = int(110 * self.ySize / 550)\",\n \"if len(sys.argv) == 2: fname = sys.argv[1] elif len(sys.argv) == 3: tMin =\",\n \"= int(s) r = str(s) else: r = str(int(v*100)/100.0) return r #--- GetAxis(vBeg,\",\n \"for z in zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]') if ztitle != '': print\",\n \"int(s)*d: s = int(s) r = str(s) + 'M' elif v >= 1000\",\n \"% self.colorsN] rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\ ' setrgbcolor }\",\n \"yList print >>self.fout, '%\\\\n% Plot '+id+'\\\\n%\\\\n' print >>self.fout, '/xfix { ', self.x0 -\",\n \"setfont' if self.pageHeader != '': print >>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader != '':\",\n \"elif w <= 20: vInc = 2 else: m = 10 while w/m\",\n \"def GetImage(self): flog = self.flog print >>self.fout, 'showpage\\\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage ==\",\n \"]') if ztitle != '': print >>self.fout, '('+ztitle+') vaxis2' if logFlag == 1:\",\n \"toStateList = [] time1List = [] time2List = [] indx = 0 oldTime\",\n \"z = '' indx += 1 if self.xUniform == True: g_indx = self.xDict[x]\",\n \"', cmdStr output = commands.getoutput(cmdStr) print >>flog, 'output from gs command: ', output\",\n \"> 100: m *= 10 if (v0 >= 0) and (v0 % m)\",\n \"print >>self.fout, 'endFunction\\\\n' print >>self.fout, '19 { 0 0 0 setrgbcolor } plotSymbolsC\\\\n'\",\n \"else: logFlag = 0 v = v0 vList = [] n = 0\",\n \"'gs' logFile = '/dev/null' #logFile = 'plot.log' #--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage)\",\n \"*= (f*ff) vInc *= (f*ff) return v0, v1, vInc #--- ValueConvert(v) # def\",\n \"[] indx = 0 for s in toStateList: if s == state: t1List.append(time1List[indx])\",\n \"GetInc(self,vMin, vMax): ff = 1.0 while vMax <= 1 and vMax > 0:\",\n \"vInc *= (f*ff) return v0, v1, vInc #--- ValueConvert(v) # def ValueConvert(self, v,\",\n \"-dNOPAUSE -r100x100 '+self.fname+' -c quit' else: size = ' -g1200x1100 ' cmdStr =\",\n \"or (logFlag==0 and (vEnd/vBeg > 100))): v0 = vBeg v1 = vEnd logFlag\",\n \"self.flog print >>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\\\n' endFun = 'endFunction\\\\n' indx = 0\",\n \"def' else: print >>self.fout, '/doGraph { graph1v } def' print >>self.fout, '/nextGraph {\",\n \">>self.fout, self.xCount, k*y k += 1 print >>self.fout, 'endFunction\\\\n' print >>self.fout, '18 {\",\n \"0 else: if vInc == 0: v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0 = vBeg\",\n \"'Chavey\\\\'s Plot') state = 0 while state <= 4: t1List = [] t2List\",\n \"in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state += 1 image = p.GetImage(sys.stdout) print 'Image\",\n \"w <= 10: vInc = 1 elif w <= 20: vInc = 2\",\n \"10 v0 = int(vMin) v1 = int(vMax+0.99) f = 1 w = v1\",\n \"'('+self.seriesTitle+')' while indx >= 0: if names[indx] != None: print >>self.fout, '('+names[indx]+') '\",\n \"v0 = int(vMin) v1 = int(vMax+0.99) f = 1 w = v1 -\",\n \"End() # def End(self): print >>self.fout, '\\\\nshowpage\\\\nend' self.fout.close() #--- GetInc(vMin, vMax) def GetInc(self,vMin,\",\n \"'|' print >>self.flog, 'Main Title: '+title titleLines = title.split('|') for t in titleLines:\",\n \"== ' ' and indx == len(xList)-1: continue indx += 1 print >>self.fout,\",\n \"(0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN =\",\n \"/ (1200 * self.xLen)) yres = int(110 * self.ySize / 550) res =\",\n \"if s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx += 1 p.PlotData(1,t1List,\",\n \"'/nextGraph { nextGraph1v } def' print >>self.fout, '/showpage {\\\\n 40 742 moveto' print\",\n \"if d == 1 and float(v)/inc > 1.0: d = 10.0 if v\",\n \"0 add }' if isinstance(vBeg,list): vList = vBeg vList.append(' ') self.xUniform = True\",\n \"p.PlotData(1,t1List, t2List, sList, 'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state += 1\",\n \"= math.log10(v0) t = math.ceil(v0Log) ff = math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and\",\n \"= 0 for x in xList: if x == ' ' and indx\",\n \"= len(vList) vi = 1 fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }'\",\n \"'tMin,tMax: ', tMin, tMax, 'fname: ', fname p = PsPlot('./p', 'Header', 'SubHeader', 1)\",\n \"= int(sys.argv[2]) fname = sys.argv[3] elif len(sys.argv) != 1: print 'USAGE: psPlot.py [tMin\",\n \"tMax, 'fname: ', fname p = PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList = []\",\n \"-sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+' -c quit' # cmdStr = gsPath + '\",\n \"10 # w = int(w/f) v0 = int(v0/f) v1 = int(v1/f) if (vMin\",\n \"= open('./psPlot.out', 'a') if plotsPerPage == 4: print >>self.fout, '/doGraph { graph4v }\",\n \"'(',self.pageHeader,') show' if self.pageSubHeader != '': print >>self.fout, '40 726 moveto\\\\n (',self.pageSubHeader,') show'\",\n \"return #--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if value == 'Off': v = -1\",\n \"- v0 if w == 0: v1 = v0 + 1 w =\",\n \"self.plotsPerPage == 1: # size = ' -g1200x550 ' size = ' -g%dx%d\",\n \"% vInc) != 0: v0 = int(v0/vInc)*vInc v0 += vInc v0 *= (f*ff)\",\n \"#--- End() # def End(self): print >>self.fout, '\\\\nshowpage\\\\nend' self.fout.close() #--- GetInc(vMin, vMax) def\",\n \"def' print >>self.fout, 'doGraph' #--- End() # def End(self): print >>self.fout, '\\\\nshowpage\\\\nend' self.fout.close()\",\n \"yList, zList, id, type): flog = self.flog print >>flog, 'graph xList: ', self.xList,\",\n \"while state <= 4: t1List = [] t2List = [] sList = []\",\n \"commands.getoutput(cmdStr) print >>flog, 'output from gs command: ', output return self.foutPath+self.foutName+'.jpg' #--- Main\",\n \"print >>self.fout, '/xfix ', fix, ' def\\\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc =\",\n \">>self.fout, '/ymtitle ypos ylen add 10 add def\\\\n' # Multiple lines in title\",\n \"import shutil import commands import types import math #gsPath = '/usr/local/bin/gs' gsPath =\",\n \"= str(int(v*100)/100.0) return r #--- GetAxis(vBeg, vEnd, vInc, logFlag) # def GetAxis(self, vBeg,\",\n \"vInc, logFlag): fix = '{ 0 add }' if isinstance(vBeg,list): vList = vBeg\",\n \"g_indx, y, z else: print >>self.fout, x, y, z print >>self.fout, endFun, type,\",\n \"#--- PlotVBars(xList, type) # def PlotVBars(self, xList, type): flog = self.flog print >>self.fout,\",\n \"/ m) * m + m w = v1 - v0 if w\",\n \"ValueConvert(v) # def ValueConvert(self, v, inc): if inc > 0: logInc = int(math.log10(v/inc))\",\n \"SetColor(color) # def SetColor(self, color): rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\\",\n \"0: ff *= 0.10 vMin *= 10 vMax *= 10 v0 = int(vMin)\",\n \"1 w = 1 while w/f >= 100: f *= 10 # w\",\n \"= 1000000 else: zss = zs y = float(zss)*factor/10.0 k = 2 while\",\n \"v1 - v0 if w <= 10: vInc = 1 elif w <=\",\n \"k k=k+1 print >>self.fout, '/xfix ', fix, ' def\\\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale)\",\n \"def\\\\n' # Multiple lines in title are separated by '|' print >>self.flog, 'Main\",\n \"0: v0 = int(v0/vInc)*vInc v0 += vInc v0 *= (f*ff) v1 *= (f*ff)\",\n \"= int(sys.argv[1]) tMax = int(sys.argv[2]) fname = sys.argv[3] elif len(sys.argv) != 1: print\",\n \"End(self): print >>self.fout, '\\\\nshowpage\\\\nend' self.fout.close() #--- GetInc(vMin, vMax) def GetInc(self,vMin, vMax): ff =\",\n \"v1:',v1,' (',vEnd,')' print >>self.flog, 'vList: ', vList print >>self.flog, 'logFlag: ', logFlag, '\",\n \"yss = ys[:-1] factor = 1000 elif ys[-1:] == 'M': yss = ys[:-1]\",\n \">>self.fout, g_indx, y, z else: print >>self.fout, x, y, z if (indx !=\",\n \"log '+str(logOffset)+' add } ifelse }' else: logFlag = 0 v = v0\",\n \"import sys import random import os.path import shutil import commands import types import\",\n \"print >>self.flog, 'Main Title: '+title titleLines = title.split('|') for t in titleLines: if\",\n \"print >>self.fout, self.xGrid, self.yGrid, ' grid\\\\n' print >>self.fout, '/ymtitle ypos ylen add 10\",\n \"# def SetPlotYLogScale(self,axis,value): if value == 'Off': v = -1 elif value ==\",\n \"(0,0,0) self.xSize = 1800 self.ySize = 900 shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname, 'a')\",\n \"SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\\\n\\\\nnextGraph\\\\n1 setlinewidth\\\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc =\",\n \"== 1: print >>self.fout, self.yfix1 # else: # print >>self.fout, '/yfix { 0\",\n \"cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+' -c quit' #\",\n \"def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\\\n\\\\nnextGraph\\\\n1 setlinewidth\\\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc\",\n \"= '{ '+str(v0-vi)+' sub '+str(vi)+' div }' print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')'\",\n \"-r%dx%d ' % (xres, yres) cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+\",\n \"', fname p = PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList = [] toStateList =\",\n \"-1 elif value == 'On': v = 1 else: v = 0; if\",\n \"x in xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\\\n[ ') for y in yList: self.fout.write('('+str(y)+')\",\n \"'': print >>self.fout, '('+ztitle+') vaxis2' if logFlag == 1: print >>self.fout, self.yfix2 print\",\n \"{ graph1v } def' print >>self.fout, '/nextGraph { nextGraph1v } def' print >>self.fout,\",\n \"2 while k < 10: print >>self.fout, 0, k*y k += 1 print\",\n \"[] sList = [] indx = 0 for s in toStateList: if s\",\n \"ypos ylen add 10 add def\\\\n' # Multiple lines in title are separated\",\n \"int(s) r = str(s) + 'M' elif v >= 1000 and inc >\",\n \"fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,'\",\n \"and inc > 1: s = int(v/(1000000000/d))/d if s*d == int(s)*d: s =\",\n \"'endFunction\\\\n' print >>self.fout, '19 { 0 0 0 setrgbcolor } plotSymbolsC\\\\n' return y1\",\n \"1800 self.ySize = 900 shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname, 'a') self.flog = open(logFile,\",\n \"'%\\\\n% Plot '+id+'\\\\n%\\\\n' print >>self.fout, '/xfix { ', self.x0 - self.xInc - self.xOffset,'\",\n \"'/dev/null' #logFile = 'plot.log' #--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) # class PsPlot(object):\",\n \"self.xDict = {} self.y1Inc = 0 self.y1Count = 0 self.y1LogScale = 0 self.y2Inc\",\n \"[] t2List = [] sList = [] indx = 0 for s in\",\n \"r self.colors[indx][1] = g self.colors[indx][2] = b return rv #--- outputPS(string) # def\",\n \"]' print >>self.fout, '('+xtitle+')\\\\n('+ytitle+')\\\\naxes\\\\n' print >>self.fout, self.xGrid, self.yGrid, ' grid\\\\n' print >>self.fout, '/ymtitle\",\n \"= ysize return #--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ', level,\",\n \"ff *= 0.10 vMin *= 10 vMax *= 10 v0 = int(vMin) v1\",\n \"[ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ]\",\n \"v1: vList.append(self.ValueConvert(v,0)) v *= 10 if v0 > 1: logOffset -= (math.log10(v0) -\",\n \"in zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]') if ztitle != '': print >>self.fout, '('+ztitle+')\",\n \"< 1: logOffset += 1 t += 1 v0 = math.pow(10,math.floor(v0Log)+1) v1 =\",\n \"v1 % vInc != 0: v1 = int(v1/vInc)*vInc + vInc if (v0 %\",\n \"xList, yList, zList, id, type) # def PlotData(self, axis, xList, yList, zList, id,\",\n \"= [0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if len(sys.argv) == 2: fname = sys.argv[1] elif\",\n \"endFun+type+'\\\\nbeginFunction\\\\n' print >>self.fout, x print >>self.fout, endFun, type, '\\\\n' return #--- PlotData(axis, xList,\",\n \"self.fout = open(self.fname, 'a') self.flog = open(logFile, 'a') # self.flog = open('./psPlot.out', 'a')\",\n \"[fname]' sys.exit(1) print 'tMin,tMax: ', tMin, tMax, 'fname: ', fname p = PsPlot('./p',\",\n \"nextGraph3v } def' elif plotsPerPage == 2: print >>self.fout, '/doGraph { graph2v }\",\n \"in toStateList: if s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx +=\",\n \"= 0 v = v0 vList = [] n = 0 while True:\",\n \"self.pageHeader != '': print >>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader != '': print >>self.fout,\",\n \"if self.xUniform == True: print >>self.fout, g_indx, y, z else: print >>self.fout, x,\",\n \"inputList = inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t = int(inputList[2]) if\",\n \"= {} k = 1 for x in xList: self.xDict[x] = k k=k+1\",\n \"nextGraph2v } def' else: print >>self.fout, '/doGraph { graph1v } def' print >>self.fout,\",\n \"(',vEnd,')' print >>self.flog, 'vList: ', vList print >>self.flog, 'logFlag: ', logFlag, ' fix:\",\n \"float(zss)*factor/10.0 k = 2 while k < 10: print >>self.fout, self.xCount, k*y k\",\n \"<= v1: vList.append(self.ValueConvert(v,0)) v *= 10 if v0 > 1: logOffset -= (math.log10(v0)\",\n \"and (v0 % m) != 0: v0 = int(v0 / m) * m\",\n \"self.xCount, k*y k += 1 print >>self.fout, 'endFunction\\\\n' print >>self.fout, '18 { 0.72\",\n \"zList: factor = 1 if zs[-1:] == 'K': zss = zs[:-1] factor =\",\n \"v0 + n*vi fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' print >>self.flog,\",\n \"= 0 self.y2Inc = 0 self.y2Count = 0 self.y2LogScale = 0 self.xOffset =\",\n \">>self.fout, '/plotNumPercentDir 1 def\\\\n' else: print >>self.fout, '/plotNumPercentDir 0 def\\\\n' return #--- SetPlotYLogScale(axis,value)\",\n \"int(v*d)/d if s*d == int(s)*d: s = int(s) r = str(s) else: r\",\n \"# def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\\\n\\\\nnextGraph\\\\n1 setlinewidth\\\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0\",\n \"if self.plotsPerPage == 1: # size = ' -g1200x550 ' size = '\",\n \"output return self.foutPath+self.foutName+'.jpg' #--- Main # def main(): tMin = 0 tMax =\",\n \"if s*d == int(s)*d: s = int(s) r = str(s) + 'K' elif\",\n \"' div ', 0.0,' add } def\\\\n' if axis == 2: print >>self.fout,\",\n \"print >>self.fout, '18 { 0.72 0.52 0.5 setrgbcolor } plotSymbolsC\\\\n' return rv #---\",\n \">>self.fout, '/doGraph { graph3v } def' print >>self.fout, '/nextGraph { nextGraph3v } def'\",\n \">>self.fout, '/doGraph { graph4v } def' print >>self.fout, '/nextGraph { nextGraph4v } def'\",\n \"' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+' -c quit' # cmdStr = gsPath +\",\n \"xi self.xCount = len(xList) self.xList = xList self.xDict = {} k = 1\",\n \"print >>self.fout, g_indx, y, z else: print >>self.fout, x, y, z if (indx\",\n \"vEnd, vInc, logFlag) # def GetAxis(self, vBeg, vEnd, vInc, logFlag): fix = '{\",\n \"v = v0 + n*vi fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }'\",\n \"0) and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' print >>self.fout, x\",\n \"10.0 else: d = 10.0 if d == 1 and float(v)/inc > 1.0:\",\n \"= xlen print >>self.fout, '/xAxisLen %.2f def' % self.xLen print >>self.fout, 'doGraph' return\",\n \"1 elif w <= 20: vInc = 2 else: m = 10 while\",\n \">>self.fout, self.xGrid, self.yGrid, ' grid\\\\n' print >>self.fout, '/ymtitle ypos ylen add 10 add\",\n \"while t < 1: logOffset += 1 t += 1 v0 = math.pow(10,math.floor(v0Log)+1)\",\n \"== 0: return print >>self.fout, '('+self.seriesTitle+')' while indx >= 0: if names[indx] !=\",\n \"indx: continue z = zList[indx] else: z = '' indx += 1 if\",\n \"(indx % 1000) == 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' if self.xUniform == True: print\",\n \"lines in title are separated by '|' print >>self.flog, 'Main Title: '+title titleLines\",\n \"SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\\\n\\\\nnextGraph\\\\n1 setlinewidth\\\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 =\",\n \"'/doGraph { graph3v } def' print >>self.fout, '/nextGraph { nextGraph3v } def' elif\",\n \"= '/yfix '+fix+' def\\\\n/yinc yinc2 def' print >>self.fout, 'axpos axlen add aypos aylen'\",\n \"if d == 0: d = 10.0 else: d = 10.0 if d\",\n \"= [] sList = [] indx = 0 for s in toStateList: if\",\n \"add aypos aylen' self.fout.write('[ ') for z in zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]')\",\n \"v1 = len(vList) vi = 1 fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div\",\n \"= '/yfix '+fix+' def\\\\n /yinc yinc1 def' print >>self.fout, self.yfix1 print >>self.fout, '[\",\n \"= len(zList) print >>self.fout, '/Flag2Yaxes 1 def' self.yfix2 = '/yfix '+fix+' def\\\\n/yinc yinc2\",\n \"!= None: print >>self.fout, '('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx -=\",\n \"10 if v0 > 1: logOffset -= (math.log10(v0) - 1) # substract 1\",\n \"10 while w/m > 100: m *= 10 if (v0 >= 0) and\",\n \"SetXLen(xlen) def SetXLen(self, xlen): self.xLen = xlen print >>self.fout, '/xAxisLen %.2f def' %\",\n \"= [] toStateList = [] time1List = [] time2List = [] indx =\",\n \"= pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1 = '' self.yfix2 = '' self.xGrid =\",\n \"or v1 % vInc != 0: if v1 % vInc != 0: v1\",\n \"1000 elif zs[-1:] == 'M': zss = zs[:-1] factor = 1000000 else: zss\",\n \"return rv #--- outputPS(string) # def outputPS(self, s): print >>self.fout, s #--- SeriesNames(names)\",\n \"} def' else: print >>self.fout, '/doGraph { graph1v } def' print >>self.fout, '/nextGraph\",\n \"else: # print >>self.fout, '/yfix { 0 add } def\\\\n' print >>self.fout, 'beginFunction\\\\n'\",\n \"(1200 * self.xLen)) yres = int(110 * self.ySize / 550) res = '\",\n \"%.2f def' % self.xLen print >>self.fout, 'doGraph' return #--- SetXSize(xsize) def SetXSize(self, xsize):\",\n \"titleLines = title.split('|') for t in titleLines: if len(t) > 0: print >>self.flog,\",\n \"random import os.path import shutil import commands import types import math #gsPath =\",\n \">>self.fout, '[ ' for x in xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\\\n[ ') for\",\n \"sList = [] indx = 0 for s in toStateList: if s ==\",\n \">= 1: s = int(v*d)/d if s*d == int(s)*d: s = int(s) r\",\n \"*= 10 # w = int(w/f) v0 = int(v0/f) v1 = int(v1/f) if\",\n \"'/Helvetica findfont 12 scalefont setfont' if self.pageHeader != '': print >>self.fout, '(',self.pageHeader,') show'\",\n \"','') inputLine = inputLine.replace(\\\"'\\\", '') i1 = inputLine.find('(') i2 = inputLine.find(')') inputList =\",\n \"d = 10.0 if v >= 1000000000 and inc > 1: s =\",\n \"} ' return rv #--- GetColorIndx(indx) # def GetColorIndx(self, indx): color = self.colors[indx\",\n \"print >>self.fout, 'showpage\\\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage == 1: # size = '\",\n \"ifelse }' else: logFlag = 0 v = v0 vList = [] n\",\n \"= 6.5 #inches self.seriesTitle = ' ' self.x0 = 0 self.xInc = 0\",\n \"# xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc\",\n \"sys.argv[3] elif len(sys.argv) != 1: print 'USAGE: psPlot.py [tMin tMax] [fname]' sys.exit(1) print\",\n \">>self.fout, x, y, z print >>self.fout, endFun, type, '\\\\n' return #--- GetImage() #\",\n \"self.y2Inc = 0 self.y2Count = 0 self.y2LogScale = 0 self.xOffset = 0 self.colors\",\n \"logFlag = 0 else: if vInc == 0: v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0\",\n \"if axis == 2: print >>self.fout, self.yfix2 elif axis == 1: print >>self.fout,\",\n \"} def' print >>self.fout, '/nextGraph { nextGraph3v } def' elif plotsPerPage == 2:\",\n \"% f) != 0 and vMax == v1: v1 += 1 w =\",\n \"'('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx -= 1 print >>self.fout, 'fdescriptionsC'\",\n \"self.xUniform == True: print >>self.fout, g_indx, y, z else: print >>self.fout, x, y,\",\n \"', logFlag, ' fix: ', fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self, xlen):\",\n \"10: print >>self.fout, self.xCount, k*y k += 1 print >>self.fout, 'endFunction\\\\n' print >>self.fout,\",\n \"if indx != 0 and t >= tMin and t <= tMax: fromStateList.append(s1)\",\n \"if len(yList) <= indx: continue y = yList[indx] if isinstance(zList,list): if len(zList) <=\",\n \"0 or v1 % vInc != 0: if v1 % vInc != 0:\",\n \"self.yfix2 print >>self.fout, 'beginFunction\\\\n' for zs in zList: factor = 1 if zs[-1:]\",\n \"self.x0 = x0 self.xInc = xi self.xCount = len(xList) self.xList = xList self.xDict\",\n \"v0 = int(v0 / m) * m if (v1 % m) != 0:\",\n \"1 v0 = math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList = []\",\n \"print >>self.fout, '\\\\n\\\\nnextGraph\\\\n1 setlinewidth\\\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc = xi\",\n \"int(s) r = str(s) + 'G' elif v >= 1000000 and inc >\",\n \"m if (v1 % m) != 0: v1 = int(v1 / m) *\",\n \"# if (vMax/f)%vInc != 0 or v1 % vInc != 0: if v1\",\n \"indx += 1 if self.xUniform == True: g_indx = self.xDict[x] print >>self.fout, g_indx,\",\n \"+ s*0.20) indx += 1 p.PlotData(1,t1List, t2List, sList, 'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+'\",\n \"if v1 % vInc != 0: v1 = int(v1/vInc)*vInc + vInc if (v0\",\n \"'+str(vi)+' div }' print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog, 'vList: ',\",\n \"from gs command: ', output return self.foutPath+self.foutName+'.jpg' #--- Main # def main(): tMin\",\n \"+ ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+' -c quit' # cmdStr = gsPath\",\n \"len(xList)-1: continue if len(yList) <= indx: continue y = yList[indx] if isinstance(zList,list): if\",\n \"self.yfix2 = '' self.xGrid = 1 self.yGrid = 1 self.xUniform = False self.xLen\",\n \"s): print >>self.fout, s #--- SeriesNames(names) # def SeriesNames(self, names): indx = len(names)\",\n \"titleLines: if len(t) > 0: print >>self.flog, ' '+t print >>self.fout, '('+t+')\\\\n' print\",\n \"10.0 if v >= 1000000000 and inc > 1: s = int(v/(1000000000/d))/d if\",\n \"print >>self.fout, '/plotNumPercentDir 0 def\\\\n' return #--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if value\",\n \"'/plotNumPercentDir 1 def\\\\n' else: print >>self.fout, '/plotNumPercentDir 0 def\\\\n' return #--- SetPlotYLogScale(axis,value) #\",\n \"t <= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime = t indx += 1\",\n \"== 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' if self.xUniform == True: print >>self.fout, g_indx, y,\",\n \"v1 = int(v1 / m) * m + m w = v1 -\",\n \"ys[-1:] == 'M': yss = ys[:-1] factor = 1000000 else: yss = ys\",\n \"-dNOPAUSE -r100x100 '+self.fname+' -c quit' print >>flog, 'cmdStr: ', cmdStr output = commands.getoutput(cmdStr)\",\n \"w <= 20: vInc = 2 else: m = 10 while w/m >\",\n \"'\\\\n' return #--- PlotData(axis, xList, yList, zList, id, type) # def PlotData(self, axis,\",\n \">>self.fout, endFun, type, '\\\\n' return #--- PlotData(axis, xList, yList, zList, id, type) #\",\n \"self.xDict[x] = k k=k+1 print >>self.fout, '/xfix ', fix, ' def\\\\n' (y0,y1,yi,yList,fix,logFlag) =\",\n \"else: print >>self.fout, '/doGraph { graph1v } def' print >>self.fout, '/nextGraph { nextGraph1v\",\n \"= inputLine.replace(' ','') inputLine = inputLine.replace(\\\"'\\\", '') i1 = inputLine.find('(') i2 = inputLine.find(')')\",\n \"def\\\\n/yinc yinc2 def' print >>self.fout, 'axpos axlen add aypos aylen' self.fout.write('[ ') for\",\n \"'endFunction\\\\n' indx = 0 for x in xList: if x == ' '\",\n \"while w/f >= 100: f *= 10 # w = int(w/f) v0 =\",\n \"*= 10 if v0 > 1: logOffset -= (math.log10(v0) - 1) # substract\",\n \"self.y1LogScale = v else: self.y2LogScale = v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title):\",\n \"10 if (v0 >= 0) and (v0 % m) != 0: v0 =\",\n \"}' print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog, 'vList: ', vList print\",\n \"<= 10: vInc = 1 elif w <= 20: vInc = 2 else:\",\n \"0 self.colors = [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5),\",\n \"' ' and indx == len(xList)-1: continue indx += 1 print >>self.fout, x,\",\n \"m) * m + m w = v1 - v0 if w <=\",\n \"and t < 0: t += 1 logOffset = 0 while t <\",\n \"} def' elif plotsPerPage == 3: print >>self.fout, '/doGraph { graph3v } def'\",\n \"sys import random import os.path import shutil import commands import types import math\",\n \"0 oldTime = 0 fin = open(fname, 'r') for inputLine in fin: inputLine\",\n \"= title.split('|') for t in titleLines: if len(t) > 0: print >>self.flog, '\",\n \"def main(): tMin = 0 tMax = 100000 stateList = [0,1,2,2,3,3,3,3,4] fname =\",\n \"self.xInc = xi self.xCount = len(xList) self.xList = xList self.xDict = {} k\",\n \">= tMin and t <= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime = t\",\n \"y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag)\",\n \"if len(t) > 0: print >>self.flog, ' '+t print >>self.fout, '('+t+')\\\\n' print >>self.fout,\",\n \"w = int(w/f) v0 = int(v0/f) v1 = int(v1/f) if (vMin % f)\",\n \"size = ' -g1200x1100 ' cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100\",\n \"vInc #--- ValueConvert(v) # def ValueConvert(self, v, inc): if inc > 0: logInc\",\n \"if value == 'Vertical': print >>self.fout, '/plotNumPercentDir 1 def\\\\n' else: print >>self.fout, '/plotNumPercentDir\",\n \"import os.path import shutil import commands import types import math #gsPath = '/usr/local/bin/gs'\",\n \"1: print >>self.fout, 'beginFunction\\\\n' for ys in yList: factor = 1 if ys[-1:]\",\n \">>self.fout, '/plotBgLevel ', level, 'def\\\\n' return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value ==\",\n \"import math #gsPath = '/usr/local/bin/gs' gsPath = 'gs' logFile = '/dev/null' #logFile =\",\n \"return #--- SetYSize(ysize) def SetYSize(self, ysize): self.ySize = ysize return #--- SetPlotBgLevel(level) #\",\n \"= stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t = int(inputList[2]) if indx != 0 and\",\n \"self.pageSubHeader != '': print >>self.fout, '40 726 moveto\\\\n (',self.pageSubHeader,') show' print >>self.fout, 'showpage\\\\n}\",\n \"if (indx != 0) and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n'\",\n \"(vMax/f)%vInc != 0 or v1 % vInc != 0: if v1 % vInc\",\n \"1: print >>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\\\n' for zs in zList: factor =\",\n \"'Time', 'Socket/State', 'Chavey\\\\'s Plot') state = 0 while state <= 4: t1List =\",\n \"print >>self.fout, '('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx -= 1 print\",\n \"= gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+' -c quit' # cmdStr\",\n \"self.fout.write('('+str(z)+') ') self.fout.write(' ]') if ztitle != '': print >>self.fout, '('+ztitle+') vaxis2' if\",\n \"# print >>self.fout, '('+title+')\\\\nMtitles\\\\n' if logFlag == 1: print >>self.fout, 'beginFunction\\\\n' for ys\",\n \"', yList print >>self.fout, '%\\\\n% Plot '+id+'\\\\n%\\\\n' print >>self.fout, '/xfix { ', self.x0\",\n \"> vEnd: break n += 1 v = v0 + n*vi fix =\",\n \"outputPS(string) # def outputPS(self, s): print >>self.fout, s #--- SeriesNames(names) # def SeriesNames(self,\",\n \"= int(s) r = str(s) + 'G' elif v >= 1000000 and inc\",\n \"indx): color = self.colors[indx % self.colorsN] rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+\",\n \"commands import types import math #gsPath = '/usr/local/bin/gs' gsPath = 'gs' logFile =\",\n \"v1 - v0 if w == 0: v1 = v0 + 1 w\",\n \"GetAxis(vBeg, vEnd, vInc, logFlag) # def GetAxis(self, vBeg, vEnd, vInc, logFlag): fix =\",\n \"0: logInc = int(math.log10(v/inc)) d = math.pow(10,logInc) if d == 0: d =\",\n \"' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\ ' setrgbcolor } ' return rv #---\",\n \"* m if (v1 % m) != 0: v1 = int(v1 / m)\",\n \"else: if vInc == 0: v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0 = vBeg v1\",\n \"isinstance(zList,list): if len(zList) <= indx: continue z = zList[indx] else: z = ''\",\n \"print >>self.fout, endFun, type, '\\\\n' return #--- PlotData(axis, xList, yList, zList, id, type)\",\n \"= open(logFile, 'a') # self.flog = open('./psPlot.out', 'a') if plotsPerPage == 4: print\",\n \"!= '': print >>self.fout, '('+ztitle+') vaxis2' if logFlag == 1: print >>self.fout, self.yfix2\",\n \"= gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' print >>flog, 'cmdStr:\",\n \"'\\\\n\\\\nnextGraph\\\\n1 setlinewidth\\\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc = xi self.xCount =\",\n \"elif v >= 1000 and inc > 1: s = int(v/(1000/d))/d if s*d\",\n \"self.fout.write(' ]') if ztitle != '': print >>self.fout, '('+ztitle+') vaxis2' if logFlag ==\",\n \"sys.argv[1] elif len(sys.argv) == 3: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) elif len(sys.argv)\",\n \"= self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count = len(zList) print >>self.fout,\",\n \"z = zList[indx] else: z = '' indx += 1 if self.xUniform ==\",\n \">>self.fout, '40 726 moveto\\\\n (',self.pageSubHeader,') show' print >>self.fout, 'showpage\\\\n} bind def' print >>self.fout,\",\n \"{} self.y1Inc = 0 self.y1Count = 0 self.y1LogScale = 0 self.y2Inc = 0\",\n \"k < 10: print >>self.fout, 0, k*y k += 1 print >>self.fout, 'endFunction\\\\n'\",\n \"900 shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname, 'a') self.flog = open(logFile, 'a') # self.flog\",\n \"= v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\\\n\\\\nnextGraph\\\\n1 setlinewidth\\\\n' (x0,x1,xi,xList,fix,logFlag)\",\n \"tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime = t indx += 1 p.SetPlot(tMin, tMax,\",\n \"= int(v0/vInc)*vInc v0 += vInc v0 *= (f*ff) v1 *= (f*ff) vInc *=\",\n \"int(sys.argv[2]) elif len(sys.argv) == 4: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) fname =\",\n \"self.foutPath = os.path.dirname(fname)+'/' if self.foutPath == '/': self.foutPath = '' self.foutName = os.path.basename(fname)\",\n \"self.xLen = 6.5 #inches self.seriesTitle = ' ' self.x0 = 0 self.xInc =\",\n \"yss = ys y = float(yss)*factor/10.0 k = 2 while k < 10:\",\n \"= self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc = xi self.xCount = len(xList) self.xList =\",\n \"vInc == 0: v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0 = vBeg v1 = vEnd\",\n \"rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\ ' setrgbcolor } ' return\",\n \"xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count = len(zList)\",\n \"sys.stdout) state += 1 image = p.GetImage(sys.stdout) print 'Image file: ', image p.End()\",\n \"logFile = '/dev/null' #logFile = 'plot.log' #--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) #\",\n \"== 3: print >>self.fout, '/doGraph { graph3v } def' print >>self.fout, '/nextGraph {\",\n \"= (1,1,1) self.ColorBlack = (0,0,0) self.xSize = 1800 self.ySize = 900 shutil.copy('plot-header.ps', self.fname)\",\n \"v <= v1: vList.append(self.ValueConvert(v,0)) v *= 10 if v0 > 1: logOffset -=\",\n \"print >>self.fout, '/ymtitle ypos ylen add 10 add def\\\\n' # Multiple lines in\",\n \"fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self, xlen): self.xLen = xlen print >>self.fout,\",\n \"float(yss)*factor/10.0 k = 2 while k < 10: print >>self.fout, 0, k*y k\",\n \"v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\\\n\\\\nnextGraph\\\\n1 setlinewidth\\\\n' (x0,x1,xi,xList,fix,logFlag) =\",\n \"' '+t print >>self.fout, '('+t+')\\\\n' print >>self.fout, 'Mtitles\\\\n' # print >>self.fout, '('+title+')\\\\nMtitles\\\\n' if\",\n \"!= 0 and t >= tMin and t <= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime)\",\n \"and (vEnd/vBeg > 100))): v0 = vBeg v1 = vEnd logFlag = 1\",\n \"ff = 1.0 while vMax <= 1 and vMax > 0: ff *=\",\n \"> 1.0: d = 10.0 if v >= 1000000000 and inc > 1:\",\n \"print >>self.fout, 'beginFunction\\\\n' if isinstance(zList,list): endFun = 'endFunctionW\\\\n' else: endFun = 'endFunction\\\\n' indx\",\n \"while vMax <= 1 and vMax > 0: ff *= 0.10 vMin *=\",\n \"'beginFunction\\\\n' endFun = 'endFunction\\\\n' indx = 0 for x in xList: if x\",\n \"substract 1 from above inside parent? fix = '{ dup 0 eq {\",\n \"def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ', level, 'def\\\\n' return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value):\",\n \"' yList: ', yList print >>self.fout, '%\\\\n% Plot '+id+'\\\\n%\\\\n' print >>self.fout, '/xfix {\",\n \"f) != 0 and vMax == v1: v1 += 1 w = v1\",\n \">>self.fout, '%\\\\n% Plot '+id+'\\\\n%\\\\n' print >>self.fout, '/xfix { ', self.x0 - self.xInc -\",\n \"level, 'def\\\\n' return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value == 'Vertical': print >>self.fout,\",\n \"plotsPerPage self.yfix1 = '' self.yfix2 = '' self.xGrid = 1 self.yGrid = 1\",\n \"', output return self.foutPath+self.foutName+'.jpg' #--- Main # def main(): tMin = 0 tMax\",\n \"> 1: s = int(v/(1000000/d))/d if s*d == int(s)*d: s = int(s) r\",\n \"Multiple lines in title are separated by '|' print >>self.flog, 'Main Title: '+title\",\n \"print >>self.fout, '/nextGraph { nextGraph4v } def' elif plotsPerPage == 3: print >>self.fout,\",\n \"{ nextGraph1v } def' print >>self.fout, '/showpage {\\\\n 40 742 moveto' print >>self.fout,\",\n \"vInc if (v0 % vInc) != 0: v0 = int(v0/vInc)*vInc v0 += vInc\",\n \"'[ ' for x in xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\\\n[ ') for y\",\n \"'/xfix { ', self.x0 - self.xInc - self.xOffset,' sub ', self.xInc, ' div\",\n \"title are separated by '|' print >>self.flog, 'Main Title: '+title titleLines = title.split('|')\",\n \">>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog, 'vList: ', vList print >>self.flog, 'logFlag:\",\n \"m/2 else: vInc = m else: vInc = m # if (vMax/f)%vInc !=\",\n \"print >>self.fout, 'Mtitles\\\\n' # print >>self.fout, '('+title+')\\\\nMtitles\\\\n' if logFlag == 1: print >>self.fout,\",\n \"= v0 + 1 w = 1 while w/f >= 100: f *=\",\n \"float(v)/inc > 1.0: d = 10.0 if v >= 1000000000 and inc >\",\n \"s = int(s) r = str(s) + 'K' elif v >= 1: s\",\n \"if x == ' ' and indx == len(xList)-1: continue if len(yList) <=\",\n \">>self.flog, 'Main Title: '+title titleLines = title.split('|') for t in titleLines: if len(t)\",\n \"SetColorIndx(indx, r, g, b) # def SetColorIndx(self, indx, r, g, b): self.colors[indx][0] =\",\n \"if w <= 5*m: vInc = m/2 else: vInc = m else: vInc\",\n \"class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) # class PsPlot(object): def __init__(self, fname, pageHeader, pageSubHeader,\",\n \"quit' # cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit'\",\n \"xList, yList, zList, id, type): flog = self.flog print >>flog, 'graph xList: ',\",\n \"'SubHeader', 1) fromStateList = [] toStateList = [] time1List = [] time2List =\",\n \"'fdescriptionsC' #--- PlotVBars(xList, type) # def PlotVBars(self, xList, type): flog = self.flog print\",\n \"if vInc == 0: v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0 = vBeg v1 =\",\n \"self.xCount = 0 self.xList = [] self.xDict = {} self.y1Inc = 0 self.y1Count\",\n \"fix = '{ dup 0 eq { } { log '+str(logOffset)+' add }\",\n \"0, 0, 2, 0, 'Time', 'Socket/State', 'Chavey\\\\'s Plot') state = 0 while state\",\n \"'('+xtitle+')\\\\n('+ytitle+')\\\\naxes\\\\n' print >>self.fout, self.xGrid, self.yGrid, ' grid\\\\n' print >>self.fout, '/ymtitle ypos ylen add\",\n \"vList = [] v = v0 while v <= v1: vList.append(self.ValueConvert(v,0)) v *=\",\n \"in title are separated by '|' print >>self.flog, 'Main Title: '+title titleLines =\",\n \"1 def\\\\n' else: print >>self.fout, '/plotNumPercentDir 0 def\\\\n' return #--- SetPlotYLogScale(axis,value) # def\",\n \"int(v/(1000000000/d))/d if s*d == int(s)*d: s = int(s) r = str(s) + 'G'\",\n \"'+str(vi)+' div }' logFlag = 0 else: if vInc == 0: v0,v1,vi =\",\n \"v, inc): if inc > 0: logInc = int(math.log10(v/inc)) d = math.pow(10,logInc) if\",\n \"zs[:-1] factor = 1000 elif zs[-1:] == 'M': zss = zs[:-1] factor =\",\n \"self.y1Count = len(yList) self.yfix1 = '/yfix '+fix+' def\\\\n /yinc yinc1 def' print >>self.fout,\",\n \"xList self.xDict = {} k = 1 for x in xList: self.xDict[x] =\",\n \"SetXSize(self, xsize): self.xSize = xsize return #--- SetYSize(ysize) def SetYSize(self, ysize): self.ySize =\",\n \"= v else: self.y2LogScale = v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print\",\n \"t < 1: logOffset += 1 t += 1 v0 = math.pow(10,math.floor(v0Log)+1) v1\",\n \"1 def' self.yfix2 = '/yfix '+fix+' def\\\\n/yinc yinc2 def' print >>self.fout, 'axpos axlen\",\n \"print >>self.fout, '/yfix { 0 add } def\\\\n' print >>self.fout, 'beginFunction\\\\n' if isinstance(zList,list):\",\n \"print >>self.fout, '/Flag2Yaxes 1 def' self.yfix2 = '/yfix '+fix+' def\\\\n/yinc yinc2 def' print\",\n \"t = math.ceil(v0Log) ff = math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t <\",\n \"vMax) def GetInc(self,vMin, vMax): ff = 1.0 while vMax <= 1 and vMax\",\n \"value == 'Vertical': print >>self.fout, '/plotNumPercentDir 1 def\\\\n' else: print >>self.fout, '/plotNumPercentDir 0\",\n \"s #--- SeriesNames(names) # def SeriesNames(self, names): indx = len(names) - 1 if\",\n \"1 from above inside parent? fix = '{ dup 0 eq { }\",\n \"== 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' print >>self.fout, x print >>self.fout, endFun, type, '\\\\n'\",\n \"= yList[indx] if isinstance(zList,list): if len(zList) <= indx: continue z = zList[indx] else:\",\n \"SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ', level, 'def\\\\n' return #--- SetPlotPercentDir(value)\",\n \"int(v/(1000000/d))/d if s*d == int(s)*d: s = int(s) r = str(s) + 'M'\",\n \"logFlag == 1: print >>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\\\n' for zs in zList:\",\n \"add } def\\\\n' print >>self.fout, 'beginFunction\\\\n' if isinstance(zList,list): endFun = 'endFunctionW\\\\n' else: endFun\",\n \"factor = 1000000 else: yss = ys y = float(yss)*factor/10.0 k = 2\",\n \"else: vInc = m else: vInc = m # if (vMax/f)%vInc != 0\",\n \"self.y1Inc = 0 self.y1Count = 0 self.y1LogScale = 0 self.y2Inc = 0 self.y2Count\",\n \"self.xLen print >>self.fout, 'doGraph' return #--- SetXSize(xsize) def SetXSize(self, xsize): self.xSize = xsize\",\n \"'Main Title: '+title titleLines = title.split('|') for t in titleLines: if len(t) >\",\n \"#--- SetXSize(xsize) def SetXSize(self, xsize): self.xSize = xsize return #--- SetYSize(ysize) def SetYSize(self,\",\n \">>flog, 'output from gs command: ', output return self.foutPath+self.foutName+'.jpg' #--- Main # def\",\n \"__init__(self, fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if self.foutPath == '/': self.foutPath\",\n \"'/doGraph { graph2v } def' print >>self.fout, '/nextGraph { nextGraph2v } def' else:\",\n \">>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' print >>self.fout, x print >>self.fout, endFun, type, '\\\\n' return #--- PlotData(axis,\",\n \"*= 10 if (v0 >= 0) and (v0 % m) != 0: v0\",\n \"' xList: ', xList, \\\\ ' yList: ', yList print >>self.fout, '%\\\\n% Plot\",\n \"-r100x100 '+self.fname+' -c quit' else: size = ' -g1200x1100 ' cmdStr = gsPath\",\n \"len(sys.argv) != 1: print 'USAGE: psPlot.py [tMin tMax] [fname]' sys.exit(1) print 'tMin,tMax: ',\",\n \"in yList: self.fout.write('('+str(y)+') ') print >>self.fout, ' ]' print >>self.fout, '('+xtitle+')\\\\n('+ytitle+')\\\\naxes\\\\n' print >>self.fout,\",\n \"(z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count = len(zList) print >>self.fout, '/Flag2Yaxes 1\",\n \">>self.fout, 'beginFunction\\\\n' if isinstance(zList,list): endFun = 'endFunctionW\\\\n' else: endFun = 'endFunction\\\\n' indx =\",\n \"self.xList, ' xList: ', xList, \\\\ ' yList: ', yList print >>self.fout, '%\\\\n%\",\n \"+= 1 v0 = math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList =\",\n \"separated by '|' print >>self.flog, 'Main Title: '+title titleLines = title.split('|') for t\",\n \"= self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi self.y1Count = len(yList) self.yfix1 = '/yfix '+fix+'\",\n \"and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' if self.xUniform == True:\",\n \"indx += 1 print >>self.fout, x, 0.0 if (indx != 0) and (indx\",\n \"for ys in yList: factor = 1 if ys[-1:] == 'K': yss =\",\n \"2: print >>self.fout, '/doGraph { graph2v } def' print >>self.fout, '/nextGraph { nextGraph2v\",\n \"v >= 1000000 and inc > 1: s = int(v/(1000000/d))/d if s*d ==\",\n \"0 for x in xList: if x == ' ' and indx ==\",\n \"', self.xInc, ' div ', 0.0,' add } def\\\\n' if axis == 2:\",\n \"pageHeader, pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if self.foutPath == '/': self.foutPath = ''\",\n \"1 if ys[-1:] == 'K': yss = ys[:-1] factor = 1000 elif ys[-1:]\",\n \"t = int(inputList[2]) if indx != 0 and t >= tMin and t\",\n \"vList = vBeg vList.append(' ') self.xUniform = True v0 = 1 v1 =\",\n \"(0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN = 11 self.colorRed = (0.8,0,0) self.colorGreen =\",\n \"SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale)\",\n \"x, y, z print >>self.fout, endFun, type, '\\\\n' return #--- GetImage() # def\",\n \"= [] indx = 0 oldTime = 0 fin = open(fname, 'r') for\",\n \"\\\\ ' setrgbcolor } ' return rv #--- GetColorIndx(indx) # def GetColorIndx(self, indx):\",\n \"int(s)*d: s = int(s) r = str(s) + 'G' elif v >= 1000000\",\n \"!= '': print >>self.fout, '40 726 moveto\\\\n (',self.pageSubHeader,') show' print >>self.fout, 'showpage\\\\n} bind\",\n \"' and indx == len(xList)-1: continue if len(yList) <= indx: continue y =\",\n \"self.colors[indx][1] = g self.colors[indx][2] = b return rv #--- outputPS(string) # def outputPS(self,\",\n \"value == 'Off': v = -1 elif value == 'On': v = 1\",\n \"else: yss = ys y = float(yss)*factor/10.0 k = 2 while k <\",\n \"1: print >>self.fout, self.yfix1 # else: # print >>self.fout, '/yfix { 0 add\",\n \"= int(100 * self.xSize * 6.5 / (1200 * self.xLen)) yres = int(110\",\n \"(0.8,0.0,0.0), (0,0,0) ] self.colorsN = 11 self.colorRed = (0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue\",\n \"stateList = [0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if len(sys.argv) == 2: fname = sys.argv[1]\",\n \"elif v >= 1000000 and inc > 1: s = int(v/(1000000/d))/d if s*d\",\n \"int(s)*d: s = int(s) r = str(s) else: r = str(int(v*100)/100.0) return r\",\n \"id, type) # def PlotData(self, axis, xList, yList, zList, id, type): flog =\",\n \"'/yfix '+fix+' def\\\\n /yinc yinc1 def' print >>self.fout, self.yfix1 print >>self.fout, '[ '\",\n \"grid\\\\n' print >>self.fout, '/ymtitle ypos ylen add 10 add def\\\\n' # Multiple lines\",\n \"open(fname, 'r') for inputLine in fin: inputLine = inputLine.replace(' ','') inputLine = inputLine.replace(\\\"'\\\",\",\n \"t < 0: t += 1 logOffset = 0 while t < 1:\",\n \"k=k+1 print >>self.fout, '/xfix ', fix, ' def\\\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc\",\n \"s = int(s) r = str(s) + 'M' elif v >= 1000 and\",\n \"math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t < 0: t += 1 logOffset = 0\",\n \"', vList print >>self.flog, 'logFlag: ', logFlag, ' fix: ', fix return v0,v1,vi,vList,fix,logFlag\",\n \"vInc v0 *= (f*ff) v1 *= (f*ff) vInc *= (f*ff) return v0, v1,\",\n \"'': print >>self.fout, '40 726 moveto\\\\n (',self.pageSubHeader,') show' print >>self.fout, 'showpage\\\\n} bind def'\",\n \"= {} self.y1Inc = 0 self.y1Count = 0 self.y1LogScale = 0 self.y2Inc =\",\n \"def' elif plotsPerPage == 2: print >>self.fout, '/doGraph { graph2v } def' print\",\n \"= int(v0 / m) * m if (v1 % m) != 0: v1\",\n \"n += 1 v = v0 + n*vi fix = '{ '+str(v0-vi)+' sub\",\n \"def' print >>self.fout, '/nextGraph { nextGraph4v } def' elif plotsPerPage == 3: print\",\n \"if (v1 % m) != 0: v1 = int(v1 / m) * m\",\n \"indx == len(xList)-1: continue indx += 1 print >>self.fout, x, 0.0 if (indx\",\n \"0) and (v0 % m) != 0: v0 = int(v0 / m) *\",\n \"= int(s) r = str(s) + 'M' elif v >= 1000 and inc\",\n \"self.colorsN] rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\ ' setrgbcolor } '\",\n \"self.x0 - self.xInc - self.xOffset,' sub ', self.xInc, ' div ', 0.0,' add\",\n \"> 1: s = int(v/(1000000000/d))/d if s*d == int(s)*d: s = int(s) r\",\n \"# def SetColorIndx(self, indx, r, g, b): self.colors[indx][0] = r self.colors[indx][1] = g\",\n \"math.pow(10,logInc) if d == 0: d = 10.0 else: d = 10.0 if\",\n \"v *= 10 if v0 > 1: logOffset -= (math.log10(v0) - 1) #\",\n \"= int(v0/f) v1 = int(v1/f) if (vMin % f) != 0 and vMax\",\n \"= 1.0 while vMax <= 1 and vMax > 0: ff *= 0.10\",\n \"') print >>self.fout, ' ]' print >>self.fout, '('+xtitle+')\\\\n('+ytitle+')\\\\naxes\\\\n' print >>self.fout, self.xGrid, self.yGrid, '\",\n \"s = int(s) r = str(s) else: r = str(int(v*100)/100.0) return r #---\",\n \"inputLine = inputLine.replace(\\\"'\\\", '') i1 = inputLine.find('(') i2 = inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',')\",\n \">>self.flog, 'vList: ', vList print >>self.flog, 'logFlag: ', logFlag, ' fix: ', fix\",\n \"len(xList)-1: continue indx += 1 print >>self.fout, x, 0.0 if (indx != 0)\",\n \"') self.fout.write(' ]\\\\n[ ') for y in yList: self.fout.write('('+str(y)+') ') print >>self.fout, '\",\n \"' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' else: size = ' -g1200x1100 '\",\n \"main(): tMin = 0 tMax = 100000 stateList = [0,1,2,2,3,3,3,3,4] fname = 'sched.txt'\",\n \"int(v1/f) if (vMin % f) != 0 and vMax == v1: v1 +=\",\n \"are separated by '|' print >>self.flog, 'Main Title: '+title titleLines = title.split('|') for\",\n \"#--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) =\",\n \"s = int(v*d)/d if s*d == int(s)*d: s = int(s) r = str(s)\",\n \"= math.pow(10,logInc) if d == 0: d = 10.0 else: d = 10.0\",\n \"1 v0Log = math.log10(v0) t = math.ceil(v0Log) ff = math.modf(v0Log) if math.fabs(ff[0]) <\",\n \"vInc) != 0: v0 = int(v0/vInc)*vInc v0 += vInc v0 *= (f*ff) v1\",\n \"open('./psPlot.out', 'a') if plotsPerPage == 4: print >>self.fout, '/doGraph { graph4v } def'\",\n \">>self.fout, '/nextGraph { nextGraph3v } def' elif plotsPerPage == 2: print >>self.fout, '/doGraph\",\n \"vEnd logFlag = 1 v0Log = math.log10(v0) t = math.ceil(v0Log) ff = math.modf(v0Log)\",\n \"t += 1 v0 = math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList\",\n \"self.colorAqua = (0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack = (0,0,0) self.xSize = 1800 self.ySize\",\n \"PlotData(axis, xList, yList, zList, id, type) # def PlotData(self, axis, xList, yList, zList,\",\n \"= 0 tMax = 100000 stateList = [0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if len(sys.argv)\",\n \"indx >= 0: if names[indx] != None: print >>self.fout, '('+names[indx]+') ' print >>self.fout,\",\n \"w = v1 - v0 if w <= 5*m: vInc = m/2 else:\",\n \"fix = '{ 0 add }' if isinstance(vBeg,list): vList = vBeg vList.append(' ')\",\n \"self.xUniform == True: g_indx = self.xDict[x] print >>self.fout, g_indx, y, z else: print\",\n \"t += 1 logOffset = 0 while t < 1: logOffset += 1\",\n \"vMin *= 10 vMax *= 10 v0 = int(vMin) v1 = int(vMax+0.99) f\",\n \"yres) cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+' -c quit'\",\n \"indx, r, g, b): self.colors[indx][0] = r self.colors[indx][1] = g self.colors[indx][2] = b\",\n \"math.ceil(v0Log) ff = math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t < 0: t\",\n \"print >>self.fout, '/nextGraph { nextGraph3v } def' elif plotsPerPage == 2: print >>self.fout,\",\n \"1) # substract 1 from above inside parent? fix = '{ dup 0\",\n \"if logFlag == 1: print >>self.fout, 'beginFunction\\\\n' for ys in yList: factor =\",\n \"]\\\\n[ ') for y in yList: self.fout.write('('+str(y)+') ') print >>self.fout, ' ]' print\",\n \"v1 = int(vMax+0.99) f = 1 w = v1 - v0 if w\",\n \"< 10: print >>self.fout, self.xCount, k*y k += 1 print >>self.fout, 'endFunction\\\\n' print\",\n \"and indx == len(xList)-1: continue indx += 1 print >>self.fout, x, 0.0 if\",\n \"while k < 10: print >>self.fout, self.xCount, k*y k += 1 print >>self.fout,\",\n \"% m) != 0: v0 = int(v0 / m) * m if (v1\",\n \"def SetColorIndx(self, indx, r, g, b): self.colors[indx][0] = r self.colors[indx][1] = g self.colors[indx][2]\",\n \"sub '+str(vi)+' div }' logFlag = 0 else: if vInc == 0: v0,v1,vi\",\n \"print >>self.fout, '('+ztitle+') vaxis2' if logFlag == 1: print >>self.fout, self.yfix2 print >>self.fout,\",\n \"toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime = t indx += 1 p.SetPlot(tMin, tMax, 0, 0,\",\n \"self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count = len(zList) print >>self.fout, '/Flag2Yaxes 1 def' self.yfix2\",\n \"== '/': self.foutPath = '' self.foutName = os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader =\",\n \"def\\\\n /yinc yinc1 def' print >>self.fout, self.yfix1 print >>self.fout, '[ ' for x\",\n \"self.xUniform = False self.xLen = 6.5 #inches self.seriesTitle = ' ' self.x0 =\",\n \"= open(fname, 'r') for inputLine in fin: inputLine = inputLine.replace(' ','') inputLine =\",\n \"v0, v1, vInc #--- ValueConvert(v) # def ValueConvert(self, v, inc): if inc >\",\n \"g, b): self.colors[indx][0] = r self.colors[indx][1] = g self.colors[indx][2] = b return rv\",\n \"> 0: logInc = int(math.log10(v/inc)) d = math.pow(10,logInc) if d == 0: d\",\n \"z else: print >>self.fout, x, y, z print >>self.fout, endFun, type, '\\\\n' return\",\n \"int(v0/vInc)*vInc v0 += vInc v0 *= (f*ff) v1 *= (f*ff) vInc *= (f*ff)\",\n \"v1 = int(v1/vInc)*vInc + vInc if (v0 % vInc) != 0: v0 =\",\n \"self.xGrid, self.yGrid, ' grid\\\\n' print >>self.fout, '/ymtitle ypos ylen add 10 add def\\\\n'\",\n \"self.ySize = ysize return #--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ',\",\n \"#--- GetColorIndx(indx) # def GetColorIndx(self, indx): color = self.colors[indx % self.colorsN] rv =\",\n \"os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage = plotsPerPage\",\n \"1 print >>self.fout, x, 0.0 if (indx != 0) and (indx % 1000)\",\n \"= 0 oldTime = 0 fin = open(fname, 'r') for inputLine in fin:\",\n \">>self.fout, '/plotNumPercentDir 0 def\\\\n' return #--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if value ==\",\n \"SeriesNames(names) # def SeriesNames(self, names): indx = len(names) - 1 if indx ==\",\n \"= 1 else: v = 0; if axis == 1: self.y1LogScale = v\",\n \"return v0, v1, vInc #--- ValueConvert(v) # def ValueConvert(self, v, inc): if inc\",\n \"!= '': print >>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader != '': print >>self.fout, '40\",\n \"'/yfix '+fix+' def\\\\n/yinc yinc2 def' print >>self.fout, 'axpos axlen add aypos aylen' self.fout.write('[\",\n \"return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self, xlen): self.xLen = xlen print >>self.fout, '/xAxisLen\",\n \"' setrgbcolor } ' return rv #--- GetColorIndx(indx) # def GetColorIndx(self, indx): color\",\n \"= (0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite =\",\n \"self.yfix1 # else: # print >>self.fout, '/yfix { 0 add } def\\\\n' print\",\n \"= 10.0 if v >= 1000000000 and inc > 1: s = int(v/(1000000000/d))/d\",\n \"<= 4: t1List = [] t2List = [] sList = [] indx =\",\n \"'+str(v0-vi)+' sub '+str(vi)+' div }' logFlag = 0 else: if vInc == 0:\",\n \"'beginFunction\\\\n' for zs in zList: factor = 1 if zs[-1:] == 'K': zss\",\n \"+= 1 p.SetPlot(tMin, tMax, 0, 0, 2, 0, 'Time', 'Socket/State', 'Chavey\\\\'s Plot') state\",\n \">>self.fout, 'endFunction\\\\n' print >>self.fout, '19 { 0 0 0 setrgbcolor } plotSymbolsC\\\\n' return\",\n \"return #--- GetImage() # def GetImage(self): flog = self.flog print >>self.fout, 'showpage\\\\n' self.fout.flush()\",\n \"v0 *= (f*ff) v1 *= (f*ff) vInc *= (f*ff) return v0, v1, vInc\",\n \"= 0 self.y1Count = 0 self.y1LogScale = 0 self.y2Inc = 0 self.y2Count =\",\n \"self.y1LogScale = 0 self.y2Inc = 0 self.y2Count = 0 self.y2LogScale = 0 self.xOffset\",\n \"time2List = [] indx = 0 oldTime = 0 fin = open(fname, 'r')\",\n \"#--- SetXLen(xlen) def SetXLen(self, xlen): self.xLen = xlen print >>self.fout, '/xAxisLen %.2f def'\",\n \"v > vEnd: break n += 1 v = v0 + n*vi fix\",\n \"return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value == 'Vertical': print >>self.fout, '/plotNumPercentDir 1\",\n \"sub ', self.xInc, ' div ', 0.0,' add } def\\\\n' if axis ==\",\n \">= 1000000 and inc > 1: s = int(v/(1000000/d))/d if s*d == int(s)*d:\",\n \"(vMin % f) != 0 and vMax == v1: v1 += 1 w\",\n \"return #--- SetXSize(xsize) def SetXSize(self, xsize): self.xSize = xsize return #--- SetYSize(ysize) def\",\n \"and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' print >>self.fout, x print\",\n \"+ vInc if (v0 % vInc) != 0: v0 = int(v0/vInc)*vInc v0 +=\",\n \"else: v = 0; if axis == 1: self.y1LogScale = v else: self.y2LogScale\",\n \"int(v/(1000/d))/d if s*d == int(s)*d: s = int(s) r = str(s) + 'K'\",\n \"'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog, 'vList: ', vList print >>self.flog, 'logFlag: ',\",\n \"and t <= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime = t indx +=\",\n \"= '' self.yfix2 = '' self.xGrid = 1 self.yGrid = 1 self.xUniform =\",\n \"else: endFun = 'endFunction\\\\n' indx = 0 for x in xList: if x\",\n \"#--- SetColor(color) # def SetColor(self, color): rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+\",\n \"= math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList = [] v = v0 while v\",\n \"# cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' else:\",\n \"type): flog = self.flog print >>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\\\n' endFun = 'endFunction\\\\n'\",\n \"xList: self.xDict[x] = k k=k+1 print >>self.fout, '/xfix ', fix, ' def\\\\n' (y0,y1,yi,yList,fix,logFlag)\",\n \"{ graph4v } def' print >>self.fout, '/nextGraph { nextGraph4v } def' elif plotsPerPage\",\n \"= ' -g1200x550 ' size = ' -g%dx%d ' % (self.xSize, self.ySize) xres\",\n \"yList, zList, id, type) # def PlotData(self, axis, xList, yList, zList, id, type):\",\n \"== int(s)*d: s = int(s) r = str(s) else: r = str(int(v*100)/100.0) return\",\n \"= self.xDict[x] print >>self.fout, g_indx, y, z else: print >>self.fout, x, y, z\",\n \"self.foutPath+self.foutName+'.jpg' #--- Main # def main(): tMin = 0 tMax = 100000 stateList\",\n \"axis, xList, yList, zList, id, type): flog = self.flog print >>flog, 'graph xList:\",\n \"v0 if w <= 5*m: vInc = m/2 else: vInc = m else:\",\n \"div }' logFlag = 0 else: if vInc == 0: v0,v1,vi = self.GetInc(vBeg,vEnd)\",\n \"= int(v1/vInc)*vInc + vInc if (v0 % vInc) != 0: v0 = int(v0/vInc)*vInc\",\n \"def\\\\n' return #--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if value == 'Off': v =\",\n \"in xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\\\n[ ') for y in yList: self.fout.write('('+str(y)+') ')\",\n \"0: if names[indx] != None: print >>self.fout, '('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx %\",\n \"t indx += 1 p.SetPlot(tMin, tMax, 0, 0, 2, 0, 'Time', 'Socket/State', 'Chavey\\\\'s\",\n \"'/plotBgLevel ', level, 'def\\\\n' return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value == 'Vertical':\",\n \"yList: self.fout.write('('+str(y)+') ') print >>self.fout, ' ]' print >>self.fout, '('+xtitle+')\\\\n('+ytitle+')\\\\naxes\\\\n' print >>self.fout, self.xGrid,\",\n \"in zList: factor = 1 if zs[-1:] == 'K': zss = zs[:-1] factor\",\n \"d = math.pow(10,logInc) if d == 0: d = 10.0 else: d =\",\n \"zList, id, type) # def PlotData(self, axis, xList, yList, zList, id, type): flog\",\n \">>self.fout, 'endFunction\\\\n' print >>self.fout, '18 { 0.72 0.52 0.5 setrgbcolor } plotSymbolsC\\\\n' return\",\n \"4: t1List = [] t2List = [] sList = [] indx = 0\",\n \"inc > 1: s = int(v/(1000/d))/d if s*d == int(s)*d: s = int(s)\",\n \"rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count = len(zList) print\",\n \"state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx += 1 p.PlotData(1,t1List, t2List, sList, 'Test',\",\n \"} ifelse }' else: logFlag = 0 v = v0 vList = []\",\n \"tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) elif len(sys.argv) == 4: tMin = int(sys.argv[1])\",\n \"vMax <= 1 and vMax > 0: ff *= 0.10 vMin *= 10\",\n \"factor = 1000 elif ys[-1:] == 'M': yss = ys[:-1] factor = 1000000\",\n \"if len(zList) <= indx: continue z = zList[indx] else: z = '' indx\",\n \"vList.append(' ') self.xUniform = True v0 = 1 v1 = len(vList) vi =\",\n \"1 for x in xList: self.xDict[x] = k k=k+1 print >>self.fout, '/xfix ',\",\n \"v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self, xlen): self.xLen = xlen print >>self.fout, '/xAxisLen %.2f\",\n \"[] n = 0 while True: vList.append(self.ValueConvert(v,vi)) if v > vEnd: break n\",\n \"s*d == int(s)*d: s = int(s) r = str(s) + 'K' elif v\",\n \"= float(yss)*factor/10.0 k = 2 while k < 10: print >>self.fout, 0, k*y\",\n \"print >>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\\\n' endFun = 'endFunction\\\\n' indx = 0 for\",\n \"0 self.xInc = 0 self.xCount = 0 self.xList = [] self.xDict = {}\",\n \"10: print >>self.fout, 0, k*y k += 1 print >>self.fout, 'endFunction\\\\n' print >>self.fout,\",\n \">>self.fout, self.yfix2 elif axis == 1: print >>self.fout, self.yfix1 # else: # print\",\n \"{ '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\ ' setrgbcolor } ' return rv #--- GetColorIndx(indx)\",\n \">>self.fout, self.yfix1 print >>self.fout, '[ ' for x in xList: self.fout.write('('+str(x)+') ') self.fout.write('\",\n \"== int(s)*d: s = int(s) r = str(s) + 'M' elif v >=\",\n \"# def SeriesNames(self, names): indx = len(names) - 1 if indx == 0:\",\n \"'axpos axlen add aypos aylen' self.fout.write('[ ') for z in zList: self.fout.write('('+str(z)+') ')\",\n \"' fix: ', fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self, xlen): self.xLen =\",\n \"return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title)\",\n \"*= (f*ff) v1 *= (f*ff) vInc *= (f*ff) return v0, v1, vInc #---\",\n \"type): flog = self.flog print >>flog, 'graph xList: ', self.xList, ' xList: ',\",\n \"'r') for inputLine in fin: inputLine = inputLine.replace(' ','') inputLine = inputLine.replace(\\\"'\\\", '')\",\n \"print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' print >>self.fout, x print >>self.fout, endFun, type, '\\\\n' return #---\",\n \"= int(w/f) v0 = int(v0/f) v1 = int(v1/f) if (vMin % f) !=\",\n \"+= 1 p.PlotData(1,t1List, t2List, sList, 'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state\",\n \"0: v1 = v0 + 1 w = 1 while w/f >= 100:\",\n \"+ 'M' elif v >= 1000 and inc > 1: s = int(v/(1000/d))/d\",\n \"== True: g_indx = self.xDict[x] print >>self.fout, g_indx, y, z else: print >>self.fout,\",\n \"= 2 else: m = 10 while w/m > 100: m *= 10\",\n \"* m + m w = v1 - v0 if w <= 5*m:\",\n \"1.0: d = 10.0 if v >= 1000000000 and inc > 1: s\",\n \"} def' print >>self.fout, '/showpage {\\\\n 40 742 moveto' print >>self.fout, '/Helvetica findfont\",\n \"for x in xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\\\n[ ') for y in yList:\",\n \"0.5 setrgbcolor } plotSymbolsC\\\\n' return rv #--- SetColor(color) # def SetColor(self, color): rv\",\n \">>self.fout, 'Mtitles\\\\n' # print >>self.fout, '('+title+')\\\\nMtitles\\\\n' if logFlag == 1: print >>self.fout, 'beginFunction\\\\n'\",\n \"SetPlotPercentDir(self,value): if value == 'Vertical': print >>self.fout, '/plotNumPercentDir 1 def\\\\n' else: print >>self.fout,\",\n \">>flog, 'graph xList: ', self.xList, ' xList: ', xList, \\\\ ' yList: ',\",\n \"flog = self.flog print >>self.fout, 'showpage\\\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage == 1: #\",\n \"= v1 - v0 if w == 0: v1 = v0 + 1\",\n \"= xi self.xCount = len(xList) self.xList = xList self.xDict = {} k =\",\n \"0 self.xOffset = 0 self.colors = [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8),\",\n \"time1List = [] time2List = [] indx = 0 oldTime = 0 fin\",\n \"plotsPerPage == 3: print >>self.fout, '/doGraph { graph3v } def' print >>self.fout, '/nextGraph\",\n \"image = p.GetImage(sys.stdout) print 'Image file: ', image p.End() if __name__ == \\\"__main__\\\":\",\n \"0 while t < 1: logOffset += 1 t += 1 v0 =\",\n \"s1 = stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t = int(inputList[2]) if indx != 0\",\n \"(0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN = 11 self.colorRed =\",\n \"*= 0.10 vMin *= 10 vMax *= 10 v0 = int(vMin) v1 =\",\n \"(y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi self.y1Count = len(yList) self.yfix1 = '/yfix\",\n \"= xsize return #--- SetYSize(ysize) def SetYSize(self, ysize): self.ySize = ysize return #---\",\n \"tMax] [fname]' sys.exit(1) print 'tMin,tMax: ', tMin, tMax, 'fname: ', fname p =\",\n \"inputLine.replace(\\\"'\\\", '') i1 = inputLine.find('(') i2 = inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1 =\",\n \"') for y in yList: self.fout.write('('+str(y)+') ') print >>self.fout, ' ]' print >>self.fout,\",\n \"{ nextGraph2v } def' else: print >>self.fout, '/doGraph { graph1v } def' print\",\n \"!= 0) and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' if self.xUniform\",\n \">>self.fout, '('+t+')\\\\n' print >>self.fout, 'Mtitles\\\\n' # print >>self.fout, '('+title+')\\\\nMtitles\\\\n' if logFlag == 1:\",\n \"sList.append(0.10 + s*0.20) indx += 1 p.PlotData(1,t1List, t2List, sList, 'Test', '0.1 in 0\",\n \"== 0: v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0 = vBeg v1 = vEnd vi\",\n \"= len(yList) self.yfix1 = '/yfix '+fix+' def\\\\n /yinc yinc1 def' print >>self.fout, self.yfix1\",\n \"= int(sys.argv[1]) tMax = int(sys.argv[2]) elif len(sys.argv) == 4: tMin = int(sys.argv[1]) tMax\",\n \"and (logFlag==1 or (logFlag==0 and (vEnd/vBeg > 100))): v0 = vBeg v1 =\",\n \"flog = self.flog print >>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\\\n' endFun = 'endFunction\\\\n' indx\",\n \"if self.pageSubHeader != '': print >>self.fout, '40 726 moveto\\\\n (',self.pageSubHeader,') show' print >>self.fout,\",\n \"k = 1 for x in xList: self.xDict[x] = k k=k+1 print >>self.fout,\",\n \"z else: print >>self.fout, x, y, z if (indx != 0) and (indx\",\n \"= 0 while state <= 4: t1List = [] t2List = [] sList\",\n \"1: s = int(v*d)/d if s*d == int(s)*d: s = int(s) r =\",\n \"if value == 'Off': v = -1 elif value == 'On': v =\",\n \"tMax = 100000 stateList = [0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if len(sys.argv) == 2:\",\n \"vEnd: break n += 1 v = v0 + n*vi fix = '{\",\n \"v1: v1 += 1 w = v1 - v0 if w <= 10:\",\n \"scalefont setfont' if self.pageHeader != '': print >>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader !=\",\n \"== int(s)*d: s = int(s) r = str(s) + 'G' elif v >=\",\n \"'a') self.flog = open(logFile, 'a') # self.flog = open('./psPlot.out', 'a') if plotsPerPage ==\",\n \"= self.flog print >>flog, 'graph xList: ', self.xList, ' xList: ', xList, \\\\\",\n \"% vInc != 0: if v1 % vInc != 0: v1 = int(v1/vInc)*vInc\",\n \"plotSymbolsC\\\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv =\",\n \"elif len(sys.argv) != 1: print 'USAGE: psPlot.py [tMin tMax] [fname]' sys.exit(1) print 'tMin,tMax:\",\n \"#--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\\\n\\\\nnextGraph\\\\n1 setlinewidth\\\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0\",\n \"{ 0 add } def\\\\n' print >>self.fout, 'beginFunction\\\\n' if isinstance(zList,list): endFun = 'endFunctionW\\\\n'\",\n \"vMax): ff = 1.0 while vMax <= 1 and vMax > 0: ff\",\n \"+ n*vi fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' print >>self.flog, 'v0:',v0,'\",\n \"for inputLine in fin: inputLine = inputLine.replace(' ','') inputLine = inputLine.replace(\\\"'\\\", '') i1\",\n \"if s*d == int(s)*d: s = int(s) r = str(s) + 'M' elif\",\n \"{ 0 0 0 setrgbcolor } plotSymbolsC\\\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title)\",\n \"axlen add aypos aylen' self.fout.write('[ ') for z in zList: self.fout.write('('+str(z)+') ') self.fout.write('\",\n \"ys[-1:] == 'K': yss = ys[:-1] factor = 1000 elif ys[-1:] == 'M':\",\n \"'Vertical': print >>self.fout, '/plotNumPercentDir 1 def\\\\n' else: print >>self.fout, '/plotNumPercentDir 0 def\\\\n' return\",\n \"graph4v } def' print >>self.fout, '/nextGraph { nextGraph4v } def' elif plotsPerPage ==\",\n \"0 self.y1Count = 0 self.y1LogScale = 0 self.y2Inc = 0 self.y2Count = 0\",\n \"ysize): self.ySize = ysize return #--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel\",\n \"axis == 2: print >>self.fout, self.yfix2 elif axis == 1: print >>self.fout, self.yfix1\",\n \"class PsPlot(object): def __init__(self, fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if self.foutPath\",\n \"print >>self.fout, s #--- SeriesNames(names) # def SeriesNames(self, names): indx = len(names) -\",\n \">>self.fout, s #--- SeriesNames(names) # def SeriesNames(self, names): indx = len(names) - 1\",\n \"elif v >= 1: s = int(v*d)/d if s*d == int(s)*d: s =\",\n \"'a') # self.flog = open('./psPlot.out', 'a') if plotsPerPage == 4: print >>self.fout, '/doGraph\",\n \"v0 = vBeg v1 = vEnd vi = vInc if vBeg > 0\",\n \"'/nextGraph { nextGraph4v } def' elif plotsPerPage == 3: print >>self.fout, '/doGraph {\",\n \"if isinstance(vBeg,list): vList = vBeg vList.append(' ') self.xUniform = True v0 = 1\",\n \"y, z print >>self.fout, endFun, type, '\\\\n' return #--- GetImage() # def GetImage(self):\",\n \"title.split('|') for t in titleLines: if len(t) > 0: print >>self.flog, ' '+t\",\n \"self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi self.y1Count = len(yList) self.yfix1 = '/yfix '+fix+' def\\\\n\",\n \"yinc1 def' print >>self.fout, self.yfix1 print >>self.fout, '[ ' for x in xList:\",\n \"self.xInc = 0 self.xCount = 0 self.xList = [] self.xDict = {} self.y1Inc\",\n \"% self.xLen print >>self.fout, 'doGraph' return #--- SetXSize(xsize) def SetXSize(self, xsize): self.xSize =\",\n \"def\\\\n' if axis == 2: print >>self.fout, self.yfix2 elif axis == 1: print\",\n \"= 10.0 else: d = 10.0 if d == 1 and float(v)/inc >\",\n \"xList, \\\\ ' yList: ', yList print >>self.fout, '%\\\\n% Plot '+id+'\\\\n%\\\\n' print >>self.fout,\",\n \"2, 0, 'Time', 'Socket/State', 'Chavey\\\\'s Plot') state = 0 while state <= 4:\",\n \"self.colors[indx][0] = r self.colors[indx][1] = g self.colors[indx][2] = b return rv #--- outputPS(string)\",\n \"+= 1 t += 1 v0 = math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi =\",\n \"== int(s)*d: s = int(s) r = str(s) + 'K' elif v >=\",\n \"import types import math #gsPath = '/usr/local/bin/gs' gsPath = 'gs' logFile = '/dev/null'\",\n \"indx -= 1 print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type) # def PlotVBars(self, xList,\",\n \"if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t < 0: t += 1 logOffset =\",\n \"+ ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' else: size = ' -g1200x1100\",\n \"= 900 shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname, 'a') self.flog = open(logFile, 'a') #\",\n \"= m/2 else: vInc = m else: vInc = m # if (vMax/f)%vInc\",\n \"print >>self.flog, 'vList: ', vList print >>self.flog, 'logFlag: ', logFlag, ' fix: ',\",\n \"'M': zss = zs[:-1] factor = 1000000 else: zss = zs y =\",\n \"== 'M': zss = zs[:-1] factor = 1000000 else: zss = zs y\",\n \"0.10 vMin *= 10 vMax *= 10 v0 = int(vMin) v1 = int(vMax+0.99)\",\n \"d = 10.0 else: d = 10.0 if d == 1 and float(v)/inc\",\n \"self.foutPath = '' self.foutName = os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader\",\n \"= 10 while w/m > 100: m *= 10 if (v0 >= 0)\",\n \"'endFunctionW\\\\n' else: endFun = 'endFunction\\\\n' indx = 0 for x in xList: if\",\n \"*= 10 vMax *= 10 v0 = int(vMin) v1 = int(vMax+0.99) f =\",\n \"zs y = float(zss)*factor/10.0 k = 2 while k < 10: print >>self.fout,\",\n \"!= 0: v1 = int(v1 / m) * m + m w =\",\n \"factor = 1000000 else: zss = zs y = float(zss)*factor/10.0 k = 2\",\n \"y, z if (indx != 0) and (indx % 1000) == 0: print\",\n \"n*vi fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' print >>self.flog, 'v0:',v0,' vi:',vi,'\",\n \"setrgbcolor } plotSymbolsC\\\\n' return rv #--- SetColor(color) # def SetColor(self, color): rv =\",\n \"self.colorsN]) indx -= 1 print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type) # def PlotVBars(self,\",\n \"PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList = [] toStateList = [] time1List = []\",\n \"= int(vMin) v1 = int(vMax+0.99) f = 1 w = v1 - v0\",\n \"1 and vMax > 0: ff *= 0.10 vMin *= 10 vMax *=\",\n \"= 0 self.xInc = 0 self.xCount = 0 self.xList = [] self.xDict =\",\n \"= gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' else: size =\",\n \"'M': yss = ys[:-1] factor = 1000000 else: yss = ys y =\",\n \"True: vList.append(self.ValueConvert(v,vi)) if v > vEnd: break n += 1 v = v0\",\n \"self.yfix1 print >>self.fout, '[ ' for x in xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\\\n[\",\n \"'Header', 'SubHeader', 1) fromStateList = [] toStateList = [] time1List = [] time2List\",\n \"setrgbcolor } ' return rv #--- GetColorIndx(indx) # def GetColorIndx(self, indx): color =\",\n \"return r #--- GetAxis(vBeg, vEnd, vInc, logFlag) # def GetAxis(self, vBeg, vEnd, vInc,\",\n \"!= 0) and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' print >>self.fout,\",\n \"+= 1 image = p.GetImage(sys.stdout) print 'Image file: ', image p.End() if __name__\",\n \"' grid\\\\n' print >>self.fout, '/ymtitle ypos ylen add 10 add def\\\\n' # Multiple\",\n \"= vBeg v1 = vEnd vi = vInc if vBeg > 0 and\",\n \"= 1 self.xUniform = False self.xLen = 6.5 #inches self.seriesTitle = ' '\",\n \"graph3v } def' print >>self.fout, '/nextGraph { nextGraph3v } def' elif plotsPerPage ==\",\n \"import commands import types import math #gsPath = '/usr/local/bin/gs' gsPath = 'gs' logFile\",\n \"'/ymtitle ypos ylen add 10 add def\\\\n' # Multiple lines in title are\",\n \"if w <= 10: vInc = 1 elif w <= 20: vInc =\",\n \"else: vInc = m # if (vMax/f)%vInc != 0 or v1 % vInc\",\n \"' -g1200x550 ' size = ' -g%dx%d ' % (self.xSize, self.ySize) xres =\",\n \"os.fsync(self.fout) if self.plotsPerPage == 1: # size = ' -g1200x550 ' size =\",\n \"def SetColor(self, color): rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\ ' setrgbcolor\",\n \"#!/usr/bin/env python2 import sys import random import os.path import shutil import commands import\",\n \"self.colorGreen = (0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack\",\n \"= 10.0 if d == 1 and float(v)/inc > 1.0: d = 10.0\",\n \"'endFunction\\\\n' print >>self.fout, '18 { 0.72 0.52 0.5 setrgbcolor } plotSymbolsC\\\\n' return rv\",\n \"print >>self.fout, self.yfix1 print >>self.fout, '[ ' for x in xList: self.fout.write('('+str(x)+') ')\",\n \"742 moveto' print >>self.fout, '/Helvetica findfont 12 scalefont setfont' if self.pageHeader != '':\",\n \"= 1 for x in xList: self.xDict[x] = k k=k+1 print >>self.fout, '/xfix\",\n \"= [] t2List = [] sList = [] indx = 0 for s\",\n \"100: m *= 10 if (v0 >= 0) and (v0 % m) !=\",\n \"# def ValueConvert(self, v, inc): if inc > 0: logInc = int(math.log10(v/inc)) d\",\n \"rv #--- GetColorIndx(indx) # def GetColorIndx(self, indx): color = self.colors[indx % self.colorsN] rv\",\n \"int(100 * self.xSize * 6.5 / (1200 * self.xLen)) yres = int(110 *\",\n \"1: logOffset += 1 t += 1 v0 = math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1)))\",\n \"self.xList = [] self.xDict = {} self.y1Inc = 0 self.y1Count = 0 self.y1LogScale\",\n \"1000) == 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' print >>self.fout, x print >>self.fout, endFun, type,\",\n \"ztitle != '': print >>self.fout, '('+ztitle+') vaxis2' if logFlag == 1: print >>self.fout,\",\n \"self.y2Inc = zi self.y2Count = len(zList) print >>self.fout, '/Flag2Yaxes 1 def' self.yfix2 =\",\n \"res +self.fname+' -c quit' # cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100\",\n \"s2 = stateList[int(inputList[1])] t = int(inputList[2]) if indx != 0 and t >=\",\n \"#--- outputPS(string) # def outputPS(self, s): print >>self.fout, s #--- SeriesNames(names) # def\",\n \"GetImage() # def GetImage(self): flog = self.flog print >>self.fout, 'showpage\\\\n' self.fout.flush() os.fsync(self.fout) if\",\n \"v = 1 else: v = 0; if axis == 1: self.y1LogScale =\",\n \"def' self.yfix2 = '/yfix '+fix+' def\\\\n/yinc yinc2 def' print >>self.fout, 'axpos axlen add\",\n \"-sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' else: size = ' -g1200x1100 ' cmdStr\",\n \"self.xSize = xsize return #--- SetYSize(ysize) def SetYSize(self, ysize): self.ySize = ysize return\",\n \"time1List.append(oldTime) time2List.append(t) oldTime = t indx += 1 p.SetPlot(tMin, tMax, 0, 0, 2,\",\n \"stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t = int(inputList[2]) if indx != 0 and t\",\n \"'{ dup 0 eq { } { log '+str(logOffset)+' add } ifelse }'\",\n \"'USAGE: psPlot.py [tMin tMax] [fname]' sys.exit(1) print 'tMin,tMax: ', tMin, tMax, 'fname: ',\",\n \"= 100000 stateList = [0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if len(sys.argv) == 2: fname\",\n \"print >>self.fout, '('+title+')\\\\nMtitles\\\\n' if logFlag == 1: print >>self.fout, 'beginFunction\\\\n' for ys in\",\n \"indx = 0 for x in xList: if x == ' ' and\",\n \"0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' print >>self.fout, x print >>self.fout, endFun, type, '\\\\n' return\",\n \"<= indx: continue y = yList[indx] if isinstance(zList,list): if len(zList) <= indx: continue\",\n \"if (vMax/f)%vInc != 0 or v1 % vInc != 0: if v1 %\",\n \"outputPS(self, s): print >>self.fout, s #--- SeriesNames(names) # def SeriesNames(self, names): indx =\",\n \"-g1200x1100 ' cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit'\",\n \"[0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if len(sys.argv) == 2: fname = sys.argv[1] elif len(sys.argv)\",\n \"{ } { log '+str(logOffset)+' add } ifelse }' else: logFlag = 0\",\n \"% 1000) == 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' if self.xUniform == True: print >>self.fout,\",\n \"= '' self.foutName = os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader =\",\n \">>self.fout, '('+xtitle+')\\\\n('+ytitle+')\\\\naxes\\\\n' print >>self.fout, self.xGrid, self.yGrid, ' grid\\\\n' print >>self.fout, '/ymtitle ypos ylen\",\n \"fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if self.foutPath == '/': self.foutPath =\",\n \"m) != 0: v0 = int(v0 / m) * m if (v1 %\",\n \"+= 1 logOffset = 0 while t < 1: logOffset += 1 t\",\n \"-dNOPAUSE '+ res +self.fname+' -c quit' # cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg\",\n \"int(vMax+0.99) f = 1 w = v1 - v0 if w == 0:\",\n \"1 and float(v)/inc > 1.0: d = 10.0 if v >= 1000000000 and\",\n \"'/nextGraph { nextGraph3v } def' elif plotsPerPage == 2: print >>self.fout, '/doGraph {\",\n \"(0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN = 11\",\n \"ys[:-1] factor = 1000000 else: yss = ys y = float(yss)*factor/10.0 k =\",\n \"setlinewidth\\\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc = xi self.xCount = len(xList)\",\n \"-= (math.log10(v0) - 1) # substract 1 from above inside parent? fix =\",\n \"len(xList) self.xList = xList self.xDict = {} k = 1 for x in\",\n \"if w == 0: v1 = v0 + 1 w = 1 while\",\n \"'graph xList: ', self.xList, ' xList: ', xList, \\\\ ' yList: ', yList\",\n \"and inc > 1: s = int(v/(1000/d))/d if s*d == int(s)*d: s =\",\n \"print >>self.flog, 'logFlag: ', logFlag, ' fix: ', fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen)\",\n \"if indx == 0: return print >>self.fout, '('+self.seriesTitle+')' while indx >= 0: if\",\n \"% m) != 0: v1 = int(v1 / m) * m + m\",\n \">= 100: f *= 10 # w = int(w/f) v0 = int(v0/f) v1\",\n \"v = v0 vList = [] n = 0 while True: vList.append(self.ValueConvert(v,vi)) if\",\n \"0: v1 = int(v1 / m) * m + m w = v1\",\n \"1 p.PlotData(1,t1List, t2List, sList, 'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state +=\",\n \"(0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN\",\n \"indx: continue y = yList[indx] if isinstance(zList,list): if len(zList) <= indx: continue z\",\n \"= m else: vInc = m # if (vMax/f)%vInc != 0 or v1\",\n \"math.fabs(v0Log)/1000 and t < 0: t += 1 logOffset = 0 while t\",\n \"self.flog = open(logFile, 'a') # self.flog = open('./psPlot.out', 'a') if plotsPerPage == 4:\",\n \"'Mtitles\\\\n' # print >>self.fout, '('+title+')\\\\nMtitles\\\\n' if logFlag == 1: print >>self.fout, 'beginFunction\\\\n' for\",\n \"xres = int(100 * self.xSize * 6.5 / (1200 * self.xLen)) yres =\",\n \"= self.GetInc(vBeg,vEnd) else: v0 = vBeg v1 = vEnd vi = vInc if\",\n \"= ' -g1200x1100 ' cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+'\",\n \"vBeg vList.append(' ') self.xUniform = True v0 = 1 v1 = len(vList) vi\",\n \"v0 = int(v0/f) v1 = int(v1/f) if (vMin % f) != 0 and\",\n \"if isinstance(zList,list): endFun = 'endFunctionW\\\\n' else: endFun = 'endFunction\\\\n' indx = 0 for\",\n \"{} k = 1 for x in xList: self.xDict[x] = k k=k+1 print\",\n \"self.seriesTitle = ' ' self.x0 = 0 self.xInc = 0 self.xCount = 0\",\n \"0 self.y1LogScale = 0 self.y2Inc = 0 self.y2Count = 0 self.y2LogScale = 0\",\n \"print >>self.fout, '/Helvetica findfont 12 scalefont setfont' if self.pageHeader != '': print >>self.fout,\",\n \"math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t < 0: t += 1 logOffset\",\n \"+ ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' print >>flog, 'cmdStr: ', cmdStr\",\n \"inc > 0: logInc = int(math.log10(v/inc)) d = math.pow(10,logInc) if d == 0:\",\n \"1.0 while vMax <= 1 and vMax > 0: ff *= 0.10 vMin\",\n \"= int(sys.argv[2]) elif len(sys.argv) == 4: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) fname\",\n \"zs[-1:] == 'M': zss = zs[:-1] factor = 1000000 else: zss = zs\",\n \"\\\\ ' yList: ', yList print >>self.fout, '%\\\\n% Plot '+id+'\\\\n%\\\\n' print >>self.fout, '/xfix\",\n \"v1 % vInc != 0: if v1 % vInc != 0: v1 =\",\n \"yres = int(110 * self.ySize / 550) res = ' -r%dx%d ' %\",\n \"yinc2 def' print >>self.fout, 'axpos axlen add aypos aylen' self.fout.write('[ ') for z\",\n \"tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) fname = sys.argv[3] elif len(sys.argv) != 1:\",\n \"== 2: print >>self.fout, self.yfix2 elif axis == 1: print >>self.fout, self.yfix1 #\",\n \"def\\\\n' else: print >>self.fout, '/plotNumPercentDir 0 def\\\\n' return #--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value):\",\n \"vEnd vi = vInc if vBeg > 0 and (logFlag==1 or (logFlag==0 and\",\n \"= int(inputList[2]) if indx != 0 and t >= tMin and t <=\",\n \"fin: inputLine = inputLine.replace(' ','') inputLine = inputLine.replace(\\\"'\\\", '') i1 = inputLine.find('(') i2\",\n \"continue z = zList[indx] else: z = '' indx += 1 if self.xUniform\",\n \"1: print 'USAGE: psPlot.py [tMin tMax] [fname]' sys.exit(1) print 'tMin,tMax: ', tMin, tMax,\",\n \"3: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) elif len(sys.argv) == 4: tMin =\",\n \"if (v0 >= 0) and (v0 % m) != 0: v0 = int(v0\",\n \"'19 { 0 0 0 setrgbcolor } plotSymbolsC\\\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, #\",\n \"vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog, 'vList: ', vList print >>self.flog, 'logFlag: ', logFlag,\",\n \"x, 0.0 if (indx != 0) and (indx % 1000) == 0: print\",\n \"1 vList = [] v = v0 while v <= v1: vList.append(self.ValueConvert(v,0)) v\",\n \"'+fix+' def\\\\n /yinc yinc1 def' print >>self.fout, self.yfix1 print >>self.fout, '[ ' for\",\n \"print >>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx -= 1 print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList,\",\n \"{ nextGraph4v } def' elif plotsPerPage == 3: print >>self.fout, '/doGraph { graph3v\",\n \"zList, id, type): flog = self.flog print >>flog, 'graph xList: ', self.xList, '\",\n \"== 0: d = 10.0 else: d = 10.0 if d == 1\",\n \"open(logFile, 'a') # self.flog = open('./psPlot.out', 'a') if plotsPerPage == 4: print >>self.fout,\",\n \"+= 1 v = v0 + n*vi fix = '{ '+str(v0-vi)+' sub '+str(vi)+'\",\n \">= 0: if names[indx] != None: print >>self.fout, '('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx\",\n \"int(s) r = str(s) else: r = str(int(v*100)/100.0) return r #--- GetAxis(vBeg, vEnd,\",\n \"= int(v/(1000000/d))/d if s*d == int(s)*d: s = int(s) r = str(s) +\",\n \"print >>self.fout, 'beginFunction\\\\n' for zs in zList: factor = 1 if zs[-1:] ==\",\n \"t in titleLines: if len(t) > 0: print >>self.flog, ' '+t print >>self.fout,\",\n \"len(names) - 1 if indx == 0: return print >>self.fout, '('+self.seriesTitle+')' while indx\",\n \"Plot '+id+'\\\\n%\\\\n' print >>self.fout, '/xfix { ', self.x0 - self.xInc - self.xOffset,' sub\",\n \"add }' if isinstance(vBeg,list): vList = vBeg vList.append(' ') self.xUniform = True v0\",\n \"# else: # print >>self.fout, '/yfix { 0 add } def\\\\n' print >>self.fout,\",\n \"0.72 0.52 0.5 setrgbcolor } plotSymbolsC\\\\n' return rv #--- SetColor(color) # def SetColor(self,\",\n \"vEnd, vInc, logFlag): fix = '{ 0 add }' if isinstance(vBeg,list): vList =\",\n \"v1 = v0 + 1 w = 1 while w/f >= 100: f\",\n \"v0 = int(v0/vInc)*vInc v0 += vInc v0 *= (f*ff) v1 *= (f*ff) vInc\",\n \"SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if value == 'Off': v = -1 elif value\",\n \">>self.fout, '/Flag2Yaxes 1 def' self.yfix2 = '/yfix '+fix+' def\\\\n/yinc yinc2 def' print >>self.fout,\",\n \"if v > vEnd: break n += 1 v = v0 + n*vi\",\n \"t2List, sList, 'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state += 1 image\",\n \"== 1: self.y1LogScale = v else: self.y2LogScale = v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) #\",\n \"'Socket/State', 'Chavey\\\\'s Plot') state = 0 while state <= 4: t1List = []\",\n \"self.y2LogScale = 0 self.xOffset = 0 self.colors = [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0), (0.42,0.55,0.14),\",\n \"1 if self.xUniform == True: g_indx = self.xDict[x] print >>self.fout, g_indx, y, z\",\n \"zss = zs[:-1] factor = 1000000 else: zss = zs y = float(zss)*factor/10.0\",\n \"'beginFunction\\\\n' if isinstance(zList,list): endFun = 'endFunctionW\\\\n' else: endFun = 'endFunction\\\\n' indx = 0\",\n \"= b return rv #--- outputPS(string) # def outputPS(self, s): print >>self.fout, s\",\n \"print >>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader != '': print >>self.fout, '40 726 moveto\\\\n\",\n \"def' print >>self.fout, self.yfix1 print >>self.fout, '[ ' for x in xList: self.fout.write('('+str(x)+')\",\n \">>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type) # def PlotVBars(self, xList, type): flog = self.flog\",\n \"' and indx == len(xList)-1: continue indx += 1 print >>self.fout, x, 0.0\",\n \"#--- ValueConvert(v) # def ValueConvert(self, v, inc): if inc > 0: logInc =\",\n \"' ]' print >>self.fout, '('+xtitle+')\\\\n('+ytitle+')\\\\naxes\\\\n' print >>self.fout, self.xGrid, self.yGrid, ' grid\\\\n' print >>self.fout,\",\n \"'K' elif v >= 1: s = int(v*d)/d if s*d == int(s)*d: s\",\n \"int(sys.argv[1]) tMax = int(sys.argv[2]) elif len(sys.argv) == 4: tMin = int(sys.argv[1]) tMax =\",\n \"v0 += vInc v0 *= (f*ff) v1 *= (f*ff) vInc *= (f*ff) return\",\n \"def SetYSize(self, ysize): self.ySize = ysize return #--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print\",\n \"self.pageHeader = pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1 = '' self.yfix2\",\n \"print >>self.fout, '/doGraph { graph1v } def' print >>self.fout, '/nextGraph { nextGraph1v }\",\n \"'doGraph' return #--- SetXSize(xsize) def SetXSize(self, xsize): self.xSize = xsize return #--- SetYSize(ysize)\",\n \"'' self.foutName = os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader = pageSubHeader\",\n \"setrgbcolor } plotSymbolsC\\\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title):\",\n \"shutil import commands import types import math #gsPath = '/usr/local/bin/gs' gsPath = 'gs'\",\n \"[] indx = 0 oldTime = 0 fin = open(fname, 'r') for inputLine\",\n \"(1,1,1) self.ColorBlack = (0,0,0) self.xSize = 1800 self.ySize = 900 shutil.copy('plot-header.ps', self.fname) self.fout\",\n \"m w = v1 - v0 if w <= 5*m: vInc = m/2\",\n \"print >>self.fout, 'doGraph' return #--- SetXSize(xsize) def SetXSize(self, xsize): self.xSize = xsize return\",\n \"> 0 and (logFlag==1 or (logFlag==0 and (vEnd/vBeg > 100))): v0 = vBeg\",\n \"== 'K': zss = zs[:-1] factor = 1000 elif zs[-1:] == 'M': zss\",\n \"' size = ' -g%dx%d ' % (self.xSize, self.ySize) xres = int(100 *\",\n \"elif plotsPerPage == 2: print >>self.fout, '/doGraph { graph2v } def' print >>self.fout,\",\n \"vBeg > 0 and (logFlag==1 or (logFlag==0 and (vEnd/vBeg > 100))): v0 =\",\n \"vi = 1 vList = [] v = v0 while v <= v1:\",\n \"else: self.y2LogScale = v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\\\n\\\\nnextGraph\\\\n1\",\n \"= str(s) else: r = str(int(v*100)/100.0) return r #--- GetAxis(vBeg, vEnd, vInc, logFlag)\",\n \"None: print >>self.fout, '('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx -= 1\",\n \">>self.fout, '\\\\n\\\\nnextGraph\\\\n1 setlinewidth\\\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc = xi self.xCount\",\n \"-sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' print >>flog, 'cmdStr: ', cmdStr output =\",\n \"fname = sys.argv[3] elif len(sys.argv) != 1: print 'USAGE: psPlot.py [tMin tMax] [fname]'\",\n \"str(s) + 'K' elif v >= 1: s = int(v*d)/d if s*d ==\",\n \"= inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t =\",\n \"yi self.y1Count = len(yList) self.yfix1 = '/yfix '+fix+' def\\\\n /yinc yinc1 def' print\",\n \"fname = 'sched.txt' if len(sys.argv) == 2: fname = sys.argv[1] elif len(sys.argv) ==\",\n \"g_indx = self.xDict[x] print >>self.fout, g_indx, y, z else: print >>self.fout, x, y,\",\n \"self.xInc, ' div ', 0.0,' add } def\\\\n' if axis == 2: print\",\n \"inputLine.find('(') i2 = inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2 = stateList[int(inputList[1])]\",\n \"'K': zss = zs[:-1] factor = 1000 elif zs[-1:] == 'M': zss =\",\n \"print >>self.fout, self.yfix2 elif axis == 1: print >>self.fout, self.yfix1 # else: #\",\n \"gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+' -c quit' # cmdStr =\",\n \"'{ '+str(v0-vi)+' sub '+str(vi)+' div }' print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print\",\n \"return rv #--- SetColorIndx(indx, r, g, b) # def SetColorIndx(self, indx, r, g,\",\n \"self.yGrid, ' grid\\\\n' print >>self.fout, '/ymtitle ypos ylen add 10 add def\\\\n' #\",\n \"= inputLine.find('(') i2 = inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2 =\",\n \"= plotsPerPage self.yfix1 = '' self.yfix2 = '' self.xGrid = 1 self.yGrid =\",\n \"str(s) else: r = str(int(v*100)/100.0) return r #--- GetAxis(vBeg, vEnd, vInc, logFlag) #\",\n \"+= 1 print >>self.fout, 'endFunction\\\\n' print >>self.fout, '18 { 0.72 0.52 0.5 setrgbcolor\",\n \"fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1 = ''\",\n \"= '{ 0 add }' if isinstance(vBeg,list): vList = vBeg vList.append(' ') self.xUniform\",\n \"'+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state += 1 image = p.GetImage(sys.stdout) print 'Image file: ',\",\n \"gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' else: size = '\",\n \"'+title titleLines = title.split('|') for t in titleLines: if len(t) > 0: print\",\n \"+= 1 print >>self.fout, x, 0.0 if (indx != 0) and (indx %\",\n \"GetInc(vMin, vMax) def GetInc(self,vMin, vMax): ff = 1.0 while vMax <= 1 and\",\n \"vBeg v1 = vEnd vi = vInc if vBeg > 0 and (logFlag==1\",\n \"logFlag == 1: print >>self.fout, 'beginFunction\\\\n' for ys in yList: factor = 1\",\n \"v >= 1000000000 and inc > 1: s = int(v/(1000000000/d))/d if s*d ==\",\n \"= 0 fin = open(fname, 'r') for inputLine in fin: inputLine = inputLine.replace('\",\n \"', fix, ' def\\\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi self.y1Count =\",\n \"'+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\ ' setrgbcolor } ' return rv #--- SetColorIndx(indx, r,\",\n \"y in yList: self.fout.write('('+str(y)+') ') print >>self.fout, ' ]' print >>self.fout, '('+xtitle+')\\\\n('+ytitle+')\\\\naxes\\\\n' print\",\n \"0: return print >>self.fout, '('+self.seriesTitle+')' while indx >= 0: if names[indx] != None:\",\n \"v0 vList = [] n = 0 while True: vList.append(self.ValueConvert(v,vi)) if v >\",\n \"Main # def main(): tMin = 0 tMax = 100000 stateList = [0,1,2,2,3,3,3,3,4]\",\n \"= 2 while k < 10: print >>self.fout, 0, k*y k += 1\",\n \"1 else: v = 0; if axis == 1: self.y1LogScale = v else:\",\n \"inc > 1: s = int(v/(1000000000/d))/d if s*d == int(s)*d: s = int(s)\",\n \"v = v0 while v <= v1: vList.append(self.ValueConvert(v,0)) v *= 10 if v0\",\n \"print >>self.fout, '('+xtitle+')\\\\n('+ytitle+')\\\\naxes\\\\n' print >>self.fout, self.xGrid, self.yGrid, ' grid\\\\n' print >>self.fout, '/ymtitle ypos\",\n \">>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' if self.xUniform == True: print >>self.fout, g_indx, y, z else: print\",\n \"= v0 vList = [] n = 0 while True: vList.append(self.ValueConvert(v,vi)) if v\",\n \"1000) == 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' if self.xUniform == True: print >>self.fout, g_indx,\",\n \"= 'sched.txt' if len(sys.argv) == 2: fname = sys.argv[1] elif len(sys.argv) == 3:\",\n \"0 0 0 setrgbcolor } plotSymbolsC\\\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) #\",\n \"= [] self.xDict = {} self.y1Inc = 0 self.y1Count = 0 self.y1LogScale =\",\n \"self.y1LogScale) self.y1Inc = yi self.y1Count = len(yList) self.yfix1 = '/yfix '+fix+' def\\\\n /yinc\",\n \"int(vMin) v1 = int(vMax+0.99) f = 1 w = v1 - v0 if\",\n \"open(self.fname, 'a') self.flog = open(logFile, 'a') # self.flog = open('./psPlot.out', 'a') if plotsPerPage\",\n \"'+fix+' def\\\\n/yinc yinc2 def' print >>self.fout, 'axpos axlen add aypos aylen' self.fout.write('[ ')\",\n \"if isinstance(zList,list): if len(zList) <= indx: continue z = zList[indx] else: z =\",\n \"== state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx += 1 p.PlotData(1,t1List, t2List, sList,\",\n \"#--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value == 'Vertical': print >>self.fout, '/plotNumPercentDir 1 def\\\\n'\",\n \"'40 726 moveto\\\\n (',self.pageSubHeader,') show' print >>self.fout, 'showpage\\\\n} bind def' print >>self.fout, 'doGraph'\",\n \"def SetXSize(self, xsize): self.xSize = xsize return #--- SetYSize(ysize) def SetYSize(self, ysize): self.ySize\",\n \"= 'plot.log' #--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) # class PsPlot(object): def __init__(self,\",\n \"tMin, tMax, 'fname: ', fname p = PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList =\",\n \"def PlotVBars(self, xList, type): flog = self.flog print >>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\\\n'\",\n \"(0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack = (0,0,0)\",\n \"v1 = int(v1/f) if (vMin % f) != 0 and vMax == v1:\",\n \"2 while k < 10: print >>self.fout, self.xCount, k*y k += 1 print\",\n \"elif plotsPerPage == 3: print >>self.fout, '/doGraph { graph3v } def' print >>self.fout,\",\n \"= zs y = float(zss)*factor/10.0 k = 2 while k < 10: print\",\n \"v >= 1000 and inc > 1: s = int(v/(1000/d))/d if s*d ==\",\n \"= int(v/(1000/d))/d if s*d == int(s)*d: s = int(s) r = str(s) +\",\n \"GetImage(self): flog = self.flog print >>self.fout, 'showpage\\\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage == 1:\",\n \"len(zList) <= indx: continue z = zList[indx] else: z = '' indx +=\",\n \"zList[indx] else: z = '' indx += 1 if self.xUniform == True: g_indx\",\n \"print >>self.fout, '/doGraph { graph3v } def' print >>self.fout, '/nextGraph { nextGraph3v }\",\n \"x == ' ' and indx == len(xList)-1: continue indx += 1 print\",\n \"endFun, type, '\\\\n' return #--- GetImage() # def GetImage(self): flog = self.flog print\",\n \"n = 0 while True: vList.append(self.ValueConvert(v,vi)) if v > vEnd: break n +=\",\n \"% 1000) == 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' print >>self.fout, x print >>self.fout, endFun,\",\n \"0 self.y2Count = 0 self.y2LogScale = 0 self.xOffset = 0 self.colors = [\",\n \">>self.fout, '/doGraph { graph1v } def' print >>self.fout, '/nextGraph { nextGraph1v } def'\",\n \"'def\\\\n' return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value == 'Vertical': print >>self.fout, '/plotNumPercentDir\",\n \"= '/usr/local/bin/gs' gsPath = 'gs' logFile = '/dev/null' #logFile = 'plot.log' #--- class\",\n \"ff = math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t < 0: t +=\",\n \"if (v0 % vInc) != 0: v0 = int(v0/vInc)*vInc v0 += vInc v0\",\n \"else: zss = zs y = float(zss)*factor/10.0 k = 2 while k <\",\n \"'' self.xGrid = 1 self.yGrid = 1 self.xUniform = False self.xLen = 6.5\",\n \"5*m: vInc = m/2 else: vInc = m else: vInc = m #\",\n \"1 v1 = len(vList) vi = 1 fix = '{ '+str(v0-vi)+' sub '+str(vi)+'\",\n \"= self.colors[indx % self.colorsN] rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\ '\",\n \"cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' else: size\",\n \"stateList[int(inputList[1])] t = int(inputList[2]) if indx != 0 and t >= tMin and\",\n \"eq { } { log '+str(logOffset)+' add } ifelse }' else: logFlag =\",\n \"indx = len(names) - 1 if indx == 0: return print >>self.fout, '('+self.seriesTitle+')'\",\n \"'('+t+')\\\\n' print >>self.fout, 'Mtitles\\\\n' # print >>self.fout, '('+title+')\\\\nMtitles\\\\n' if logFlag == 1: print\",\n \"factor = 1 if ys[-1:] == 'K': yss = ys[:-1] factor = 1000\",\n \"r, g, b): self.colors[indx][0] = r self.colors[indx][1] = g self.colors[indx][2] = b return\",\n \"!= 0 and vMax == v1: v1 += 1 w = v1 -\",\n \"2: print >>self.fout, self.yfix2 elif axis == 1: print >>self.fout, self.yfix1 # else:\",\n \"math #gsPath = '/usr/local/bin/gs' gsPath = 'gs' logFile = '/dev/null' #logFile = 'plot.log'\",\n \"math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList = [] v = v0 while v <=\",\n \"toStateList: if s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx += 1\",\n \"xsize return #--- SetYSize(ysize) def SetYSize(self, ysize): self.ySize = ysize return #--- SetPlotBgLevel(level)\",\n \"= -1 elif value == 'On': v = 1 else: v = 0;\",\n \"cmdStr output = commands.getoutput(cmdStr) print >>flog, 'output from gs command: ', output return\",\n \"self.xCount = len(xList) self.xList = xList self.xDict = {} k = 1 for\",\n \"0 self.xCount = 0 self.xList = [] self.xDict = {} self.y1Inc = 0\",\n \"' -g1200x1100 ' cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c\",\n \"def PlotData(self, axis, xList, yList, zList, id, type): flog = self.flog print >>flog,\",\n \"print >>self.fout, '/doGraph { graph4v } def' print >>self.fout, '/nextGraph { nextGraph4v }\",\n \"ValueConvert(self, v, inc): if inc > 0: logInc = int(math.log10(v/inc)) d = math.pow(10,logInc)\",\n \"SetPlotYLogScale(self,axis,value): if value == 'Off': v = -1 elif value == 'On': v\",\n \"y, z else: print >>self.fout, x, y, z if (indx != 0) and\",\n \"logFlag, ' fix: ', fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self, xlen): self.xLen\",\n \"gsPath = 'gs' logFile = '/dev/null' #logFile = 'plot.log' #--- class PsPlot(fname, pageHeader,\",\n \"* self.xSize * 6.5 / (1200 * self.xLen)) yres = int(110 * self.ySize\",\n \"'+self.fname+' -c quit' else: size = ' -g1200x1100 ' cmdStr = gsPath +\",\n \"= 1800 self.ySize = 900 shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname, 'a') self.flog =\",\n \"y = float(zss)*factor/10.0 k = 2 while k < 10: print >>self.fout, self.xCount,\",\n \"(v0 % vInc) != 0: v0 = int(v0/vInc)*vInc v0 += vInc v0 *=\",\n \"= t indx += 1 p.SetPlot(tMin, tMax, 0, 0, 2, 0, 'Time', 'Socket/State',\",\n \"{ '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\ ' setrgbcolor } ' return rv #--- SetColorIndx(indx,\",\n \"'Off': v = -1 elif value == 'On': v = 1 else: v\",\n \"elif ys[-1:] == 'M': yss = ys[:-1] factor = 1000000 else: yss =\",\n \"= int(v1 / m) * m + m w = v1 - v0\",\n \"= 0 self.y2LogScale = 0 self.xOffset = 0 self.colors = [ (0.7,0.7,0.7), (0,0,0.8),\",\n \"int(110 * self.ySize / 550) res = ' -r%dx%d ' % (xres, yres)\",\n \"setrgbcolor } ' return rv #--- SetColorIndx(indx, r, g, b) # def SetColorIndx(self,\",\n \"# def outputPS(self, s): print >>self.fout, s #--- SeriesNames(names) # def SeriesNames(self, names):\",\n \"1 print >>self.fout, 'endFunction\\\\n' print >>self.fout, '18 { 0.72 0.52 0.5 setrgbcolor }\",\n \"= p.GetImage(sys.stdout) print 'Image file: ', image p.End() if __name__ == \\\"__main__\\\": main()\",\n \"!= 0: v0 = int(v0 / m) * m if (v1 % m)\",\n \"v >= 1: s = int(v*d)/d if s*d == int(s)*d: s = int(s)\",\n \"}' else: logFlag = 0 v = v0 vList = [] n =\",\n \"0, k*y k += 1 print >>self.fout, 'endFunction\\\\n' print >>self.fout, '19 { 0\",\n \"SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count =\",\n \"oldTime = 0 fin = open(fname, 'r') for inputLine in fin: inputLine =\",\n \"self.fname) self.fout = open(self.fname, 'a') self.flog = open(logFile, 'a') # self.flog = open('./psPlot.out',\",\n \"v1, vInc #--- ValueConvert(v) # def ValueConvert(self, v, inc): if inc > 0:\",\n \"inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t = int(inputList[2])\",\n \"len(sys.argv) == 4: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) fname = sys.argv[3] elif\",\n \"color = self.colors[indx % self.colorsN] rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\\",\n \"= 1 elif w <= 20: vInc = 2 else: m = 10\",\n \"print >>self.fout, '%\\\\n% Plot '+id+'\\\\n%\\\\n' print >>self.fout, '/xfix { ', self.x0 - self.xInc\",\n \"1 self.yGrid = 1 self.xUniform = False self.xLen = 6.5 #inches self.seriesTitle =\",\n \"'/yfix { 0 add } def\\\\n' print >>self.fout, 'beginFunction\\\\n' if isinstance(zList,list): endFun =\",\n \"GetAxis(self, vBeg, vEnd, vInc, logFlag): fix = '{ 0 add }' if isinstance(vBeg,list):\",\n \"in xList: if x == ' ' and indx == len(xList)-1: continue if\",\n \"0 tMax = 100000 stateList = [0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if len(sys.argv) ==\",\n \"if inc > 0: logInc = int(math.log10(v/inc)) d = math.pow(10,logInc) if d ==\",\n \"[] time2List = [] indx = 0 oldTime = 0 fin = open(fname,\",\n \"<= 1 and vMax > 0: ff *= 0.10 vMin *= 10 vMax\",\n \"'+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\ ' setrgbcolor } ' return rv #--- GetColorIndx(indx) #\",\n \"'/showpage {\\\\n 40 742 moveto' print >>self.fout, '/Helvetica findfont 12 scalefont setfont' if\",\n \"(self.xSize, self.ySize) xres = int(100 * self.xSize * 6.5 / (1200 * self.xLen))\",\n \"1000000000 and inc > 1: s = int(v/(1000000000/d))/d if s*d == int(s)*d: s\",\n \"if self.pageHeader != '': print >>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader != '': print\",\n \"(f*ff) vInc *= (f*ff) return v0, v1, vInc #--- ValueConvert(v) # def ValueConvert(self,\",\n \"'/xAxisLen %.2f def' % self.xLen print >>self.fout, 'doGraph' return #--- SetXSize(xsize) def SetXSize(self,\",\n \"print >>self.fout, '/plotBgLevel ', level, 'def\\\\n' return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value\",\n \"flog = self.flog print >>flog, 'graph xList: ', self.xList, ' xList: ', xList,\",\n \"' for x in xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\\\n[ ') for y in\",\n \"# def GetAxis(self, vBeg, vEnd, vInc, logFlag): fix = '{ 0 add }'\",\n \"above inside parent? fix = '{ dup 0 eq { } { log\",\n \"if zs[-1:] == 'K': zss = zs[:-1] factor = 1000 elif zs[-1:] ==\",\n \"% (self.xSize, self.ySize) xres = int(100 * self.xSize * 6.5 / (1200 *\",\n \"= len(xList) self.xList = xList self.xDict = {} k = 1 for x\",\n \">>self.fout, 0, k*y k += 1 print >>self.fout, 'endFunction\\\\n' print >>self.fout, '19 {\",\n \"self.y2Count = 0 self.y2LogScale = 0 self.xOffset = 0 self.colors = [ (0.7,0.7,0.7),\",\n \"pageSubHeader, plotsPerPage) # class PsPlot(object): def __init__(self, fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath =\",\n \"p = PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList = [] toStateList = [] time1List\",\n \"print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type) # def PlotVBars(self, xList, type): flog =\",\n \"state = 0 while state <= 4: t1List = [] t2List = []\",\n \"'0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state += 1 image = p.GetImage(sys.stdout) print\",\n \"ylen add 10 add def\\\\n' # Multiple lines in title are separated by\",\n \"logFlag): fix = '{ 0 add }' if isinstance(vBeg,list): vList = vBeg vList.append('\",\n \"r = str(int(v*100)/100.0) return r #--- GetAxis(vBeg, vEnd, vInc, logFlag) # def GetAxis(self,\",\n \"# def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ', level, 'def\\\\n' return #--- SetPlotPercentDir(value) def\",\n \"rv #--- SetColorIndx(indx, r, g, b) # def SetColorIndx(self, indx, r, g, b):\",\n \"self.colorBlue = (0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack = (0,0,0) self.xSize\",\n \"' cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' print\",\n \"state <= 4: t1List = [] t2List = [] sList = [] indx\",\n \"int(v1/vInc)*vInc + vInc if (v0 % vInc) != 0: v0 = int(v0/vInc)*vInc v0\",\n \"0 self.y2Inc = 0 self.y2Count = 0 self.y2LogScale = 0 self.xOffset = 0\",\n \"= 'endFunctionW\\\\n' else: endFun = 'endFunction\\\\n' indx = 0 for x in xList:\",\n \"550) res = ' -r%dx%d ' % (xres, yres) cmdStr = gsPath +\",\n \"x == ' ' and indx == len(xList)-1: continue if len(yList) <= indx:\",\n \"' print >>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx -= 1 print >>self.fout, 'fdescriptionsC' #---\",\n \"print >>self.fout, '('+t+')\\\\n' print >>self.fout, 'Mtitles\\\\n' # print >>self.fout, '('+title+')\\\\nMtitles\\\\n' if logFlag ==\",\n \"} def' print >>self.fout, '/nextGraph { nextGraph2v } def' else: print >>self.fout, '/doGraph\",\n \"self.xDict = {} k = 1 for x in xList: self.xDict[x] = k\",\n \"1 self.xUniform = False self.xLen = 6.5 #inches self.seriesTitle = ' ' self.x0\",\n \"w/m > 100: m *= 10 if (v0 >= 0) and (v0 %\",\n \">>self.fout, '/xAxisLen %.2f def' % self.xLen print >>self.fout, 'doGraph' return #--- SetXSize(xsize) def\",\n \"def outputPS(self, s): print >>self.fout, s #--- SeriesNames(names) # def SeriesNames(self, names): indx\",\n \">>self.fout, '18 { 0.72 0.52 0.5 setrgbcolor } plotSymbolsC\\\\n' return rv #--- SetColor(color)\",\n \"#--- SetYSize(ysize) def SetYSize(self, ysize): self.ySize = ysize return #--- SetPlotBgLevel(level) # def\",\n \"output = commands.getoutput(cmdStr) print >>flog, 'output from gs command: ', output return self.foutPath+self.foutName+'.jpg'\",\n \"= 1 while w/f >= 100: f *= 10 # w = int(w/f)\",\n \"'+t print >>self.fout, '('+t+')\\\\n' print >>self.fout, 'Mtitles\\\\n' # print >>self.fout, '('+title+')\\\\nMtitles\\\\n' if logFlag\",\n \"pageHeader, pageSubHeader, plotsPerPage) # class PsPlot(object): def __init__(self, fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath\",\n \"} plotSymbolsC\\\\n' return rv #--- SetColor(color) # def SetColor(self, color): rv = '\",\n \"for s in toStateList: if s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20)\",\n \"color): rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\ ' setrgbcolor } '\",\n \"0 while True: vList.append(self.ValueConvert(v,vi)) if v > vEnd: break n += 1 v\",\n \"str(s) + 'G' elif v >= 1000000 and inc > 1: s =\",\n \"self.ySize = 900 shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname, 'a') self.flog = open(logFile, 'a')\",\n \"'\\\\nshowpage\\\\nend' self.fout.close() #--- GetInc(vMin, vMax) def GetInc(self,vMin, vMax): ff = 1.0 while vMax\",\n \"elif len(sys.argv) == 3: tMin = int(sys.argv[1]) tMax = int(sys.argv[2]) elif len(sys.argv) ==\",\n \"vList.append(self.ValueConvert(v,0)) v *= 10 if v0 > 1: logOffset -= (math.log10(v0) - 1)\",\n \"self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count = len(zList) print >>self.fout, '/Flag2Yaxes\",\n \"print >>self.fout, '/doGraph { graph2v } def' print >>self.fout, '/nextGraph { nextGraph2v }\",\n \"*= 10 v0 = int(vMin) v1 = int(vMax+0.99) f = 1 w =\",\n \"= m # if (vMax/f)%vInc != 0 or v1 % vInc != 0:\",\n \"print >>self.fout, '/xfix { ', self.x0 - self.xInc - self.xOffset,' sub ', self.xInc,\",\n \"+= 1 if self.xUniform == True: g_indx = self.xDict[x] print >>self.fout, g_indx, y,\",\n \"self.yfix1 = '/yfix '+fix+' def\\\\n /yinc yinc1 def' print >>self.fout, self.yfix1 print >>self.fout,\",\n \"len(yList) self.yfix1 = '/yfix '+fix+' def\\\\n /yinc yinc1 def' print >>self.fout, self.yfix1 print\",\n \"0 setrgbcolor } plotSymbolsC\\\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc,\",\n \"'': print >>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader != '': print >>self.fout, '40 726\",\n \"== 1 and float(v)/inc > 1.0: d = 10.0 if v >= 1000000000\",\n \"0: v1 = int(v1/vInc)*vInc + vInc if (v0 % vInc) != 0: v0\",\n \"'+self.fname+' -c quit' print >>flog, 'cmdStr: ', cmdStr output = commands.getoutput(cmdStr) print >>flog,\",\n \"True: g_indx = self.xDict[x] print >>self.fout, g_indx, y, z else: print >>self.fout, x,\",\n \"= x0 self.xInc = xi self.xCount = len(xList) self.xList = xList self.xDict =\",\n \"xList: if x == ' ' and indx == len(xList)-1: continue if len(yList)\",\n \"and vMax > 0: ff *= 0.10 vMin *= 10 vMax *= 10\",\n \"logFlag) # def GetAxis(self, vBeg, vEnd, vInc, logFlag): fix = '{ 0 add\",\n \"print >>self.fout, x, 0.0 if (indx != 0) and (indx % 1000) ==\",\n \"= 0 for s in toStateList: if s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10\",\n \"' self.x0 = 0 self.xInc = 0 self.xCount = 0 self.xList = []\",\n \"# def GetImage(self): flog = self.flog print >>self.fout, 'showpage\\\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage\",\n \"os.path import shutil import commands import types import math #gsPath = '/usr/local/bin/gs' gsPath\",\n \"and float(v)/inc > 1.0: d = 10.0 if v >= 1000000000 and inc\",\n \"SetYSize(ysize) def SetYSize(self, ysize): self.ySize = ysize return #--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level):\",\n \"' ' self.x0 = 0 self.xInc = 0 self.xCount = 0 self.xList =\",\n \"-c quit' # cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE -r100x100 '+self.fname+' -c\",\n \"if s*d == int(s)*d: s = int(s) r = str(s) else: r =\",\n \"== 4: print >>self.fout, '/doGraph { graph4v } def' print >>self.fout, '/nextGraph {\",\n \"plotSymbolsC\\\\n' return rv #--- SetColor(color) # def SetColor(self, color): rv = ' {\",\n \"vaxis2' if logFlag == 1: print >>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\\\n' for zs\",\n \"#--- PlotData(axis, xList, yList, zList, id, type) # def PlotData(self, axis, xList, yList,\",\n \">>self.fout, '/nextGraph { nextGraph2v } def' else: print >>self.fout, '/doGraph { graph1v }\",\n \"= commands.getoutput(cmdStr) print >>flog, 'output from gs command: ', output return self.foutPath+self.foutName+'.jpg' #---\",\n \"self.yfix1 = '' self.yfix2 = '' self.xGrid = 1 self.yGrid = 1 self.xUniform\",\n \"shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname, 'a') self.flog = open(logFile, 'a') # self.flog =\",\n \"w = v1 - v0 if w == 0: v1 = v0 +\",\n \"r = str(s) + 'M' elif v >= 1000 and inc > 1:\",\n \"0 fin = open(fname, 'r') for inputLine in fin: inputLine = inputLine.replace(' ','')\",\n \"10 add def\\\\n' # Multiple lines in title are separated by '|' print\",\n \"0: v0 = int(v0 / m) * m if (v1 % m) !=\",\n \"len(t) > 0: print >>self.flog, ' '+t print >>self.fout, '('+t+')\\\\n' print >>self.fout, 'Mtitles\\\\n'\",\n \"k = 2 while k < 10: print >>self.fout, self.xCount, k*y k +=\",\n \"and indx == len(xList)-1: continue if len(yList) <= indx: continue y = yList[indx]\",\n \"gs command: ', output return self.foutPath+self.foutName+'.jpg' #--- Main # def main(): tMin =\",\n \"'+str(color[1])+' '+str(color[2])+ \\\\ ' setrgbcolor } ' return rv #--- SetColorIndx(indx, r, g,\",\n \"'/doGraph { graph1v } def' print >>self.fout, '/nextGraph { nextGraph1v } def' print\",\n \"v1 = vEnd vi = vInc if vBeg > 0 and (logFlag==1 or\",\n \"= float(zss)*factor/10.0 k = 2 while k < 10: print >>self.fout, self.xCount, k*y\",\n \"0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' if self.xUniform == True: print >>self.fout, g_indx, y, z\",\n \"int(sys.argv[1]) tMax = int(sys.argv[2]) fname = sys.argv[3] elif len(sys.argv) != 1: print 'USAGE:\",\n \"yList: factor = 1 if ys[-1:] == 'K': yss = ys[:-1] factor =\",\n \"s = int(v/(1000/d))/d if s*d == int(s)*d: s = int(s) r = str(s)\",\n \"ys in yList: factor = 1 if ys[-1:] == 'K': yss = ys[:-1]\",\n \"[] v = v0 while v <= v1: vList.append(self.ValueConvert(v,0)) v *= 10 if\",\n \"'fname: ', fname p = PsPlot('./p', 'Header', 'SubHeader', 1) fromStateList = [] toStateList\",\n \"100))): v0 = vBeg v1 = vEnd logFlag = 1 v0Log = math.log10(v0)\",\n \"'/doGraph { graph4v } def' print >>self.fout, '/nextGraph { nextGraph4v } def' elif\",\n \"= 1000000 else: yss = ys y = float(yss)*factor/10.0 k = 2 while\",\n \"fix, ' def\\\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi self.y1Count = len(yList)\",\n \"'/nextGraph { nextGraph2v } def' else: print >>self.fout, '/doGraph { graph1v } def'\",\n \"{ ', self.x0 - self.xInc - self.xOffset,' sub ', self.xInc, ' div ',\",\n \"= [] n = 0 while True: vList.append(self.ValueConvert(v,vi)) if v > vEnd: break\",\n \"'vList: ', vList print >>self.flog, 'logFlag: ', logFlag, ' fix: ', fix return\",\n \"command: ', output return self.foutPath+self.foutName+'.jpg' #--- Main # def main(): tMin = 0\",\n \"(',self.pageSubHeader,') show' print >>self.fout, 'showpage\\\\n} bind def' print >>self.fout, 'doGraph' #--- End() #\",\n \"psPlot.py [tMin tMax] [fname]' sys.exit(1) print 'tMin,tMax: ', tMin, tMax, 'fname: ', fname\",\n \"\\\\ ' setrgbcolor } ' return rv #--- SetColorIndx(indx, r, g, b) #\",\n \"# class PsPlot(object): def __init__(self, fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if\",\n \"add def\\\\n' # Multiple lines in title are separated by '|' print >>self.flog,\",\n \"100000 stateList = [0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if len(sys.argv) == 2: fname =\",\n \"# size = ' -g1200x550 ' size = ' -g%dx%d ' % (self.xSize,\",\n \"def End(self): print >>self.fout, '\\\\nshowpage\\\\nend' self.fout.close() #--- GetInc(vMin, vMax) def GetInc(self,vMin, vMax): ff\",\n \"r = str(s) + 'K' elif v >= 1: s = int(v*d)/d if\",\n \"self.xGrid = 1 self.yGrid = 1 self.xUniform = False self.xLen = 6.5 #inches\",\n \"- v0 if w <= 10: vInc = 1 elif w <= 20:\",\n \"+ 'G' elif v >= 1000000 and inc > 1: s = int(v/(1000000/d))/d\",\n \"nextGraph1v } def' print >>self.fout, '/showpage {\\\\n 40 742 moveto' print >>self.fout, '/Helvetica\",\n \"inputLine = inputLine.replace(' ','') inputLine = inputLine.replace(\\\"'\\\", '') i1 = inputLine.find('(') i2 =\",\n \"= 1 w = v1 - v0 if w == 0: v1 =\",\n \"= 0 self.xList = [] self.xDict = {} self.y1Inc = 0 self.y1Count =\",\n \"} { log '+str(logOffset)+' add } ifelse }' else: logFlag = 0 v\",\n \"s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 + s*0.20) indx += 1 p.PlotData(1,t1List, t2List,\",\n \"= self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi self.y2Count = len(zList) print >>self.fout, '/Flag2Yaxes 1 def'\",\n \"1: s = int(v/(1000/d))/d if s*d == int(s)*d: s = int(s) r =\",\n \"+ 'K' elif v >= 1: s = int(v*d)/d if s*d == int(s)*d:\",\n \"- self.xInc - self.xOffset,' sub ', self.xInc, ' div ', 0.0,' add }\",\n \"# self.flog = open('./psPlot.out', 'a') if plotsPerPage == 4: print >>self.fout, '/doGraph {\",\n \"(math.log10(v0) - 1) # substract 1 from above inside parent? fix = '{\",\n \">>self.fout, '19 { 0 0 0 setrgbcolor } plotSymbolsC\\\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc,\",\n \"xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc =\",\n \"i2 = inputLine.find(')') inputList = inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t\",\n \">>self.fout, '('+ztitle+') vaxis2' if logFlag == 1: print >>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\\\n'\",\n \"'\\\\n' return #--- GetImage() # def GetImage(self): flog = self.flog print >>self.fout, 'showpage\\\\n'\",\n \"plotsPerPage == 2: print >>self.fout, '/doGraph { graph2v } def' print >>self.fout, '/nextGraph\",\n \"PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) # class PsPlot(object): def __init__(self, fname, pageHeader, pageSubHeader, plotsPerPage):\",\n \"self.yGrid = 1 self.xUniform = False self.xLen = 6.5 #inches self.seriesTitle = '\",\n \"% self.colorsN]) indx -= 1 print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type) # def\",\n \"' setrgbcolor } ' return rv #--- SetColorIndx(indx, r, g, b) # def\",\n \"axis == 1: print >>self.fout, self.yfix1 # else: # print >>self.fout, '/yfix {\",\n \"* self.xLen)) yres = int(110 * self.ySize / 550) res = ' -r%dx%d\",\n \"logOffset -= (math.log10(v0) - 1) # substract 1 from above inside parent? fix\",\n \"= zs[:-1] factor = 1000000 else: zss = zs y = float(zss)*factor/10.0 k\",\n \"} def' elif plotsPerPage == 2: print >>self.fout, '/doGraph { graph2v } def'\",\n \"print >>self.fout, 'doGraph' #--- End() # def End(self): print >>self.fout, '\\\\nshowpage\\\\nend' self.fout.close() #---\",\n \"(indx % 1000) == 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' print >>self.fout, x print >>self.fout,\",\n \"{ 0.72 0.52 0.5 setrgbcolor } plotSymbolsC\\\\n' return rv #--- SetColor(color) # def\",\n \"#--- Main # def main(): tMin = 0 tMax = 100000 stateList =\",\n \"1 image = p.GetImage(sys.stdout) print 'Image file: ', image p.End() if __name__ ==\",\n \"self.pageSubHeader = pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1 = '' self.yfix2 = '' self.xGrid\",\n \"4: print >>self.fout, '/doGraph { graph4v } def' print >>self.fout, '/nextGraph { nextGraph4v\",\n \"v0 if w <= 10: vInc = 1 elif w <= 20: vInc\",\n \">>self.fout, '('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx -= 1 print >>self.fout,\",\n \"self.colors[indx % self.colorsN] rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\ ' setrgbcolor\",\n \"fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime = t indx += 1 p.SetPlot(tMin, tMax, 0,\",\n \"endFun = 'endFunction\\\\n' indx = 0 for x in xList: if x ==\",\n \"'/': self.foutPath = '' self.foutName = os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader = pageHeader\",\n \"add } def\\\\n' if axis == 2: print >>self.fout, self.yfix2 elif axis ==\",\n \"indx = 0 oldTime = 0 fin = open(fname, 'r') for inputLine in\",\n \"(x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc = xi self.xCount = len(xList) self.xList\",\n \"0) and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' if self.xUniform ==\",\n \"11 self.colorRed = (0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua = (0,0.5,0.5)\",\n \"= ys y = float(yss)*factor/10.0 k = 2 while k < 10: print\",\n \"tMax, 0, 0, 2, 0, 'Time', 'Socket/State', 'Chavey\\\\'s Plot') state = 0 while\",\n \"v1 = math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList = [] v = v0 while\",\n \"def' print >>self.fout, 'axpos axlen add aypos aylen' self.fout.write('[ ') for z in\",\n \"self.SetColor(self.colors[indx % self.colorsN]) indx -= 1 print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type) #\",\n \"> 100))): v0 = vBeg v1 = vEnd logFlag = 1 v0Log =\",\n \"<= 5*m: vInc = m/2 else: vInc = m else: vInc = m\",\n \"vInc != 0: if v1 % vInc != 0: v1 = int(v1/vInc)*vInc +\",\n \"len(zList) print >>self.fout, '/Flag2Yaxes 1 def' self.yfix2 = '/yfix '+fix+' def\\\\n/yinc yinc2 def'\",\n \"', xList, \\\\ ' yList: ', yList print >>self.fout, '%\\\\n% Plot '+id+'\\\\n%\\\\n' print\",\n \"= 1 self.yGrid = 1 self.xUniform = False self.xLen = 6.5 #inches self.seriesTitle\",\n \"s*d == int(s)*d: s = int(s) r = str(s) else: r = str(int(v*100)/100.0)\",\n \"# def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv = self.SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) (z0,z1,zi,zList,fix,logFlag) = self.GetAxis(zbeg,zend,zinc,self.y2LogScale) self.y2Inc = zi\",\n \"1000000 and inc > 1: s = int(v/(1000000/d))/d if s*d == int(s)*d: s\",\n \"vInc = 2 else: m = 10 while w/m > 100: m *=\",\n \">>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\\\n' for zs in zList: factor = 1 if\",\n \"res = ' -r%dx%d ' % (xres, yres) cmdStr = gsPath + '\",\n \"k = 2 while k < 10: print >>self.fout, 0, k*y k +=\",\n \"self.colorRed = (0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue = (0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite\",\n \"int(v0/f) v1 = int(v1/f) if (vMin % f) != 0 and vMax ==\",\n \"indx != 0 and t >= tMin and t <= tMax: fromStateList.append(s1) toStateList.append(s2)\",\n \"(0,0,0) ] self.colorsN = 11 self.colorRed = (0.8,0,0) self.colorGreen = (0,0.8,0) self.colorBlue =\",\n \"= int(v*d)/d if s*d == int(s)*d: s = int(s) r = str(s) else:\",\n \"= [] time2List = [] indx = 0 oldTime = 0 fin =\",\n \"' return rv #--- GetColorIndx(indx) # def GetColorIndx(self, indx): color = self.colors[indx %\",\n \"tMin and t <= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime = t indx\",\n \"str(s) + 'M' elif v >= 1000 and inc > 1: s =\",\n \"(0.42,0.55,0.14), (0.6,0.5,0.3), (0.6,0.2,0.8), (0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN = 11 self.colorRed\",\n \"int(inputList[2]) if indx != 0 and t >= tMin and t <= tMax:\",\n \"def ValueConvert(self, v, inc): if inc > 0: logInc = int(math.log10(v/inc)) d =\",\n \"% vInc != 0: v1 = int(v1/vInc)*vInc + vInc if (v0 % vInc)\",\n \"= vBeg vList.append(' ') self.xUniform = True v0 = 1 v1 = len(vList)\",\n \"} def' print >>self.fout, '/nextGraph { nextGraph4v } def' elif plotsPerPage == 3:\",\n \"= '' indx += 1 if self.xUniform == True: g_indx = self.xDict[x] print\",\n \"== 1: print >>self.fout, 'beginFunction\\\\n' for ys in yList: factor = 1 if\",\n \"% (xres, yres) cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE '+ res +self.fname+'\",\n \"indx += 1 p.PlotData(1,t1List, t2List, sList, 'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout)\",\n \"1: s = int(v/(1000000000/d))/d if s*d == int(s)*d: s = int(s) r =\",\n \"# substract 1 from above inside parent? fix = '{ dup 0 eq\",\n \"10 vMax *= 10 v0 = int(vMin) v1 = int(vMax+0.99) f = 1\",\n \"and vMax == v1: v1 += 1 w = v1 - v0 if\",\n \"v0 > 1: logOffset -= (math.log10(v0) - 1) # substract 1 from above\",\n \"= int(v1/f) if (vMin % f) != 0 and vMax == v1: v1\",\n \"and t >= tMin and t <= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime\",\n \"self.flog print >>self.fout, 'showpage\\\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage == 1: # size =\",\n \"def' print >>self.fout, '/nextGraph { nextGraph2v } def' else: print >>self.fout, '/doGraph {\",\n \"d == 1 and float(v)/inc > 1.0: d = 10.0 if v >=\",\n \"3: print >>self.fout, '/doGraph { graph3v } def' print >>self.fout, '/nextGraph { nextGraph3v\",\n \"'beginFunction\\\\n' for ys in yList: factor = 1 if ys[-1:] == 'K': yss\",\n \"graph1v } def' print >>self.fout, '/nextGraph { nextGraph1v } def' print >>self.fout, '/showpage\",\n \"(v1 % m) != 0: v1 = int(v1 / m) * m +\",\n \"m *= 10 if (v0 >= 0) and (v0 % m) != 0:\",\n \"'+ res +self.fname+' -c quit' # cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg -dNOPAUSE\",\n \"v1 += 1 w = v1 - v0 if w <= 10: vInc\",\n \"def' print >>self.fout, '/nextGraph { nextGraph1v } def' print >>self.fout, '/showpage {\\\\n 40\",\n \"self.yfix1 print >>self.fout, 'beginFunction\\\\n' endFun = 'endFunction\\\\n' indx = 0 for x in\",\n \"'/usr/local/bin/gs' gsPath = 'gs' logFile = '/dev/null' #logFile = 'plot.log' #--- class PsPlot(fname,\",\n \"self.ySize) xres = int(100 * self.xSize * 6.5 / (1200 * self.xLen)) yres\",\n \"print >>self.fout, x print >>self.fout, endFun, type, '\\\\n' return #--- PlotData(axis, xList, yList,\",\n \"vList = [] n = 0 while True: vList.append(self.ValueConvert(v,vi)) if v > vEnd:\",\n \"'doGraph' #--- End() # def End(self): print >>self.fout, '\\\\nshowpage\\\\nend' self.fout.close() #--- GetInc(vMin, vMax)\",\n \"vInc = m else: vInc = m # if (vMax/f)%vInc != 0 or\",\n \"== 'Vertical': print >>self.fout, '/plotNumPercentDir 1 def\\\\n' else: print >>self.fout, '/plotNumPercentDir 0 def\\\\n'\",\n \"pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1 = '' self.yfix2 = ''\",\n \"', level, 'def\\\\n' return #--- SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value == 'Vertical': print\",\n \"if logFlag == 1: print >>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\\\n' for zs in\",\n \"= 0 self.xCount = 0 self.xList = [] self.xDict = {} self.y1Inc =\",\n \"= 1000 elif zs[-1:] == 'M': zss = zs[:-1] factor = 1000000 else:\",\n \"return #--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ', level, 'def\\\\n' return\",\n \"r #--- GetAxis(vBeg, vEnd, vInc, logFlag) # def GetAxis(self, vBeg, vEnd, vInc, logFlag):\",\n \"PlotData(self, axis, xList, yList, zList, id, type): flog = self.flog print >>flog, 'graph\",\n \">>self.flog, 'logFlag: ', logFlag, ' fix: ', fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def\",\n \"{ nextGraph3v } def' elif plotsPerPage == 2: print >>self.fout, '/doGraph { graph2v\",\n \"vi = 1 fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' logFlag =\",\n \"self.yfix2 elif axis == 1: print >>self.fout, self.yfix1 # else: # print >>self.fout,\",\n \"indx == 0: return print >>self.fout, '('+self.seriesTitle+')' while indx >= 0: if names[indx]\",\n \"= vBeg v1 = vEnd logFlag = 1 v0Log = math.log10(v0) t =\",\n \"pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if self.foutPath == '/': self.foutPath = '' self.foutName\",\n \"+= vInc v0 *= (f*ff) v1 *= (f*ff) vInc *= (f*ff) return v0,\",\n \"(indx != 0) and (indx % 1000) == 0: print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' if\",\n \"1 while w/f >= 100: f *= 10 # w = int(w/f) v0\",\n \"vMax == v1: v1 += 1 w = v1 - v0 if w\",\n \"- v0 if w <= 5*m: vInc = m/2 else: vInc = m\",\n \"(logFlag==0 and (vEnd/vBeg > 100))): v0 = vBeg v1 = vEnd logFlag =\",\n \"self.xSize = 1800 self.ySize = 900 shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname, 'a') self.flog\",\n \"== len(xList)-1: continue if len(yList) <= indx: continue y = yList[indx] if isinstance(zList,list):\",\n \"self.colors[indx][2] = b return rv #--- outputPS(string) # def outputPS(self, s): print >>self.fout,\",\n \"for x in xList: self.xDict[x] = k k=k+1 print >>self.fout, '/xfix ', fix,\",\n \"'sched.txt' if len(sys.argv) == 2: fname = sys.argv[1] elif len(sys.argv) == 3: tMin\",\n \"print >>self.fout, '[ ' for x in xList: self.fout.write('('+str(x)+') ') self.fout.write(' ]\\\\n[ ')\",\n \"print >>self.fout, ' ]' print >>self.fout, '('+xtitle+')\\\\n('+ytitle+')\\\\naxes\\\\n' print >>self.fout, self.xGrid, self.yGrid, ' grid\\\\n'\",\n \"0.52 0.5 setrgbcolor } plotSymbolsC\\\\n' return rv #--- SetColor(color) # def SetColor(self, color):\",\n \"b) # def SetColorIndx(self, indx, r, g, b): self.colors[indx][0] = r self.colors[indx][1] =\",\n \"time2List.append(t) oldTime = t indx += 1 p.SetPlot(tMin, tMax, 0, 0, 2, 0,\",\n \"12 scalefont setfont' if self.pageHeader != '': print >>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader\",\n \"self.fout.write('('+str(x)+') ') self.fout.write(' ]\\\\n[ ') for y in yList: self.fout.write('('+str(y)+') ') print >>self.fout,\",\n \"self.foutPath == '/': self.foutPath = '' self.foutName = os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader\",\n \"1 p.SetPlot(tMin, tMax, 0, 0, 2, 0, 'Time', 'Socket/State', 'Chavey\\\\'s Plot') state =\",\n \"return self.foutPath+self.foutName+'.jpg' #--- Main # def main(): tMin = 0 tMax = 100000\",\n \"= 'gs' logFile = '/dev/null' #logFile = 'plot.log' #--- class PsPlot(fname, pageHeader, pageSubHeader,\",\n \"math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi = 1 vList = [] v = v0\",\n \"[] self.xDict = {} self.y1Inc = 0 self.y1Count = 0 self.y1LogScale = 0\",\n \"fname = sys.argv[1] elif len(sys.argv) == 3: tMin = int(sys.argv[1]) tMax = int(sys.argv[2])\",\n \"== 2: fname = sys.argv[1] elif len(sys.argv) == 3: tMin = int(sys.argv[1]) tMax\",\n \"vList.append(self.ValueConvert(v,vi)) if v > vEnd: break n += 1 v = v0 +\",\n \"if names[indx] != None: print >>self.fout, '('+names[indx]+') ' print >>self.fout, self.SetColor(self.colors[indx % self.colorsN])\",\n \"#--- GetInc(vMin, vMax) def GetInc(self,vMin, vMax): ff = 1.0 while vMax <= 1\",\n \"# print >>self.fout, '/yfix { 0 add } def\\\\n' print >>self.fout, 'beginFunction\\\\n' if\",\n \"#--- SetPlotBgLevel(level) # def SetPlotBgLevel(self,level): print >>self.fout, '/plotBgLevel ', level, 'def\\\\n' return #---\",\n \"logOffset = 0 while t < 1: logOffset += 1 t += 1\",\n \"print >>self.fout, endFun+type+'\\\\nbeginFunction\\\\n' if self.xUniform == True: print >>self.fout, g_indx, y, z else:\",\n \"def' print >>self.fout, '/showpage {\\\\n 40 742 moveto' print >>self.fout, '/Helvetica findfont 12\",\n \"= ' -r%dx%d ' % (xres, yres) cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'.jpg\",\n \"# def main(): tMin = 0 tMax = 100000 stateList = [0,1,2,2,3,3,3,3,4] fname\",\n \"dup 0 eq { } { log '+str(logOffset)+' add } ifelse }' else:\",\n \"'18 { 0.72 0.52 0.5 setrgbcolor } plotSymbolsC\\\\n' return rv #--- SetColor(color) #\",\n \"os.path.dirname(fname)+'/' if self.foutPath == '/': self.foutPath = '' self.foutName = os.path.basename(fname) self.fname =\",\n \"= 0 while True: vList.append(self.ValueConvert(v,vi)) if v > vEnd: break n += 1\",\n \"(v0 >= 0) and (v0 % m) != 0: v0 = int(v0 /\",\n \"tMax = int(sys.argv[2]) elif len(sys.argv) == 4: tMin = int(sys.argv[1]) tMax = int(sys.argv[2])\",\n \"0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state += 1 image = p.GetImage(sys.stdout) print 'Image file:\",\n \"'+str(v0-vi)+' sub '+str(vi)+' div }' print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog,\",\n \"aypos aylen' self.fout.write('[ ') for z in zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]') if\",\n \"', fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self, xlen): self.xLen = xlen print\",\n \"/ 550) res = ' -r%dx%d ' % (xres, yres) cmdStr = gsPath\",\n \"= '/dev/null' #logFile = 'plot.log' #--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) # class\",\n \"= ' -g%dx%d ' % (self.xSize, self.ySize) xres = int(100 * self.xSize *\",\n \"ys[:-1] factor = 1000 elif ys[-1:] == 'M': yss = ys[:-1] factor =\",\n \"1) fromStateList = [] toStateList = [] time1List = [] time2List = []\",\n \"k*y k += 1 print >>self.fout, 'endFunction\\\\n' print >>self.fout, '19 { 0 0\",\n \"r = str(s) + 'G' elif v >= 1000000 and inc > 1:\",\n \"} ' return rv #--- SetColorIndx(indx, r, g, b) # def SetColorIndx(self, indx,\",\n \"v0 if w == 0: v1 = v0 + 1 w = 1\",\n \"self.fout.write('('+str(y)+') ') print >>self.fout, ' ]' print >>self.fout, '('+xtitle+')\\\\n('+ytitle+')\\\\naxes\\\\n' print >>self.fout, self.xGrid, self.yGrid,\",\n \"'plot.log' #--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage) # class PsPlot(object): def __init__(self, fname,\",\n \"if self.foutPath == '/': self.foutPath = '' self.foutName = os.path.basename(fname) self.fname = fname+'.ps'\",\n \">>self.fout, '/showpage {\\\\n 40 742 moveto' print >>self.fout, '/Helvetica findfont 12 scalefont setfont'\",\n \"Plot') state = 0 while state <= 4: t1List = [] t2List =\",\n \"xsize): self.xSize = xsize return #--- SetYSize(ysize) def SetYSize(self, ysize): self.ySize = ysize\",\n \"if v >= 1000000000 and inc > 1: s = int(v/(1000000000/d))/d if s*d\",\n \"else: m = 10 while w/m > 100: m *= 10 if (v0\",\n \"w/f >= 100: f *= 10 # w = int(w/f) v0 = int(v0/f)\",\n \">>self.fout, endFun, type, '\\\\n' return #--- GetImage() # def GetImage(self): flog = self.flog\",\n \"' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE -r100x100 '+self.fname+' -c quit' print >>flog, 'cmdStr: ', cmdStr output\",\n \"vMax *= 10 v0 = int(vMin) v1 = int(vMax+0.99) f = 1 w\",\n \"= int(math.log10(v/inc)) d = math.pow(10,logInc) if d == 0: d = 10.0 else:\",\n \"y = yList[indx] if isinstance(zList,list): if len(zList) <= indx: continue z = zList[indx]\",\n \"v = 0; if axis == 1: self.y1LogScale = v else: self.y2LogScale =\",\n \"/yinc yinc1 def' print >>self.fout, self.yfix1 print >>self.fout, '[ ' for x in\",\n \"} plotSymbolsC\\\\n' return y1 #--- SetPlot2(xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, # xtitle,ytitle,ztitle,title) # def SetPlot2(self,xbeg,xend,xinc,ybeg,yend,yinc,zbeg,zend,zinc, xtitle,ytitle,ztitle,title): rv\",\n \"in titleLines: if len(t) > 0: print >>self.flog, ' '+t print >>self.fout, '('+t+')\\\\n'\",\n \"self.xInc - self.xOffset,' sub ', self.xInc, ' div ', 0.0,' add } def\\\\n'\",\n \"fix: ', fix return v0,v1,vi,vList,fix,logFlag #--- SetXLen(xlen) def SetXLen(self, xlen): self.xLen = xlen\",\n \"show' if self.pageSubHeader != '': print >>self.fout, '40 726 moveto\\\\n (',self.pageSubHeader,') show' print\",\n \"-g%dx%d ' % (self.xSize, self.ySize) xres = int(100 * self.xSize * 6.5 /\",\n \">>flog, 'cmdStr: ', cmdStr output = commands.getoutput(cmdStr) print >>flog, 'output from gs command:\",\n \"[] toStateList = [] time1List = [] time2List = [] indx = 0\",\n \"0; if axis == 1: self.y1LogScale = v else: self.y2LogScale = v return\",\n \"0, 'Time', 'Socket/State', 'Chavey\\\\'s Plot') state = 0 while state <= 4: t1List\",\n \"and inc > 1: s = int(v/(1000000/d))/d if s*d == int(s)*d: s =\",\n \"= 0 self.y1LogScale = 0 self.y2Inc = 0 self.y2Count = 0 self.y2LogScale =\",\n \"self.foutName = os.path.basename(fname) self.fname = fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage\",\n \"1 t += 1 v0 = math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi = 1\",\n \"indx += 1 p.SetPlot(tMin, tMax, 0, 0, 2, 0, 'Time', 'Socket/State', 'Chavey\\\\'s Plot')\",\n \">>self.fout, x print >>self.fout, endFun, type, '\\\\n' return #--- PlotData(axis, xList, yList, zList,\",\n \"*= (f*ff) return v0, v1, vInc #--- ValueConvert(v) # def ValueConvert(self, v, inc):\",\n \"0 self.y2LogScale = 0 self.xOffset = 0 self.colors = [ (0.7,0.7,0.7), (0,0,0.8), (0.8,0,0),\",\n \"moveto\\\\n (',self.pageSubHeader,') show' print >>self.fout, 'showpage\\\\n} bind def' print >>self.fout, 'doGraph' #--- End()\",\n \"' % (self.xSize, self.ySize) xres = int(100 * self.xSize * 6.5 / (1200\",\n \"else: size = ' -g1200x1100 ' cmdStr = gsPath + ' -sDEVICE=jpeg'+size+'-sOutputFile='+self.foutPath+self.foutName+'%d.jpg -dNOPAUSE\",\n \"else: print >>self.fout, x, y, z if (indx != 0) and (indx %\",\n \"tMin = 0 tMax = 100000 stateList = [0,1,2,2,3,3,3,3,4] fname = 'sched.txt' if\",\n \"t >= tMin and t <= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t) oldTime =\",\n \"= zs[:-1] factor = 1000 elif zs[-1:] == 'M': zss = zs[:-1] factor\",\n \"'/xfix ', fix, ' def\\\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi self.y1Count\",\n \"v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0 = vBeg v1 = vEnd vi = vInc\",\n \"if ztitle != '': print >>self.fout, '('+ztitle+') vaxis2' if logFlag == 1: print\",\n \"= 0 else: if vInc == 0: v0,v1,vi = self.GetInc(vBeg,vEnd) else: v0 =\",\n \"print >>self.fout, 'endFunction\\\\n' print >>self.fout, '18 { 0.72 0.52 0.5 setrgbcolor } plotSymbolsC\\\\n'\",\n \"else: r = str(int(v*100)/100.0) return r #--- GetAxis(vBeg, vEnd, vInc, logFlag) # def\",\n \"self.fout.flush() os.fsync(self.fout) if self.plotsPerPage == 1: # size = ' -g1200x550 ' size\",\n \"'{ 0 add }' if isinstance(vBeg,list): vList = vBeg vList.append(' ') self.xUniform =\",\n \"= 1000 elif ys[-1:] == 'M': yss = ys[:-1] factor = 1000000 else:\",\n \"'showpage\\\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage == 1: # size = ' -g1200x550 '\",\n \"else: z = '' indx += 1 if self.xUniform == True: g_indx =\",\n \"= open(self.fname, 'a') self.flog = open(logFile, 'a') # self.flog = open('./psPlot.out', 'a') if\",\n \"x0 self.xInc = xi self.xCount = len(xList) self.xList = xList self.xDict = {}\",\n \"if axis == 1: self.y1LogScale = v else: self.y2LogScale = v return #---\",\n \"type, '\\\\n' return #--- PlotData(axis, xList, yList, zList, id, type) # def PlotData(self,\",\n \"self.xSize * 6.5 / (1200 * self.xLen)) yres = int(110 * self.ySize /\",\n \"= int(110 * self.ySize / 550) res = ' -r%dx%d ' % (xres,\",\n \"SetColor(self, color): rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\ ' setrgbcolor }\",\n \"= (0,0,0) self.xSize = 1800 self.ySize = 900 shutil.copy('plot-header.ps', self.fname) self.fout = open(self.fname,\",\n \"len(yList) <= indx: continue y = yList[indx] if isinstance(zList,list): if len(zList) <= indx:\",\n \"len(sys.argv) == 2: fname = sys.argv[1] elif len(sys.argv) == 3: tMin = int(sys.argv[1])\",\n \"#--- GetImage() # def GetImage(self): flog = self.flog print >>self.fout, 'showpage\\\\n' self.fout.flush() os.fsync(self.fout)\",\n \"s = int(v/(1000000/d))/d if s*d == int(s)*d: s = int(s) r = str(s)\",\n \">>self.fout, x, y, z if (indx != 0) and (indx % 1000) ==\",\n \"#--- GetAxis(vBeg, vEnd, vInc, logFlag) # def GetAxis(self, vBeg, vEnd, vInc, logFlag): fix\",\n \"sList, 'Test', '0.1 in 0 '+p.SetColor(p.colors[state])+' plotWbarsC', sys.stdout) state += 1 image =\",\n \"= (0,0,0.8) self.colorAqua = (0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack = (0,0,0) self.xSize =\",\n \"1 print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type) # def PlotVBars(self, xList, type): flog\",\n \">>self.fout, 'doGraph' return #--- SetXSize(xsize) def SetXSize(self, xsize): self.xSize = xsize return #---\",\n \">>self.fout, '(',self.pageHeader,') show' if self.pageSubHeader != '': print >>self.fout, '40 726 moveto\\\\n (',self.pageSubHeader,')\",\n \"id, type): flog = self.flog print >>flog, 'graph xList: ', self.xList, ' xList:\",\n \"print >>self.fout, 'beginFunction\\\\n' for ys in yList: factor = 1 if ys[-1:] ==\",\n \"1000000 else: zss = zs y = float(zss)*factor/10.0 k = 2 while k\",\n \"w == 0: v1 = v0 + 1 w = 1 while w/f\",\n \"= (0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack = (0,0,0) self.xSize = 1800 self.ySize =\",\n \"}' logFlag = 0 else: if vInc == 0: v0,v1,vi = self.GetInc(vBeg,vEnd) else:\",\n \"1 logOffset = 0 while t < 1: logOffset += 1 t +=\",\n \"0 and vMax == v1: v1 += 1 w = v1 - v0\",\n \">>self.fout, '/Helvetica findfont 12 scalefont setfont' if self.pageHeader != '': print >>self.fout, '(',self.pageHeader,')\",\n \"- 1) # substract 1 from above inside parent? fix = '{ dup\",\n \"continue indx += 1 print >>self.fout, x, 0.0 if (indx != 0) and\",\n \"vi = vInc if vBeg > 0 and (logFlag==1 or (logFlag==0 and (vEnd/vBeg\",\n \"m # if (vMax/f)%vInc != 0 or v1 % vInc != 0: if\",\n \"!= 0 or v1 % vInc != 0: if v1 % vInc !=\",\n \"= ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\ ' setrgbcolor } ' return rv\",\n \"z print >>self.fout, endFun, type, '\\\\n' return #--- GetImage() # def GetImage(self): flog\",\n \"int(v0 / m) * m if (v1 % m) != 0: v1 =\",\n \"= True v0 = 1 v1 = len(vList) vi = 1 fix =\",\n \"== 0: v1 = v0 + 1 w = 1 while w/f >=\",\n \"= self.flog print >>self.fout, 'showpage\\\\n' self.fout.flush() os.fsync(self.fout) if self.plotsPerPage == 1: # size\",\n \"(0,0.8,0), (0.4,0.3,0.5), (0.5,0.5,0.5), (0.8,0.0,0.0), (0,0,0) ] self.colorsN = 11 self.colorRed = (0.8,0,0) self.colorGreen\",\n \"else: print >>self.fout, x, y, z print >>self.fout, endFun, type, '\\\\n' return #---\",\n \"g_indx, y, z else: print >>self.fout, x, y, z if (indx != 0)\",\n \"self.GetAxis(xbeg,xend,xinc,0) self.x0 = x0 self.xInc = xi self.xCount = len(xList) self.xList = xList\",\n \"(0,0.5,0.5) self.colorWhite = (1,1,1) self.ColorBlack = (0,0,0) self.xSize = 1800 self.ySize = 900\",\n \"k += 1 print >>self.fout, 'endFunction\\\\n' print >>self.fout, '18 { 0.72 0.52 0.5\",\n \"= inputLine[i1+1:i2-1].split(',') s1 = stateList[int(inputList[0])] s2 = stateList[int(inputList[1])] t = int(inputList[2]) if indx\",\n \"f *= 10 # w = int(w/f) v0 = int(v0/f) v1 = int(v1/f)\",\n \"[tMin tMax] [fname]' sys.exit(1) print 'tMin,tMax: ', tMin, tMax, 'fname: ', fname p\",\n \"return rv #--- GetColorIndx(indx) # def GetColorIndx(self, indx): color = self.colors[indx % self.colorsN]\",\n \"def\\\\n' (y0,y1,yi,yList,fix,logFlag) = self.GetAxis(ybeg,yend,yinc, self.y1LogScale) self.y1Inc = yi self.y1Count = len(yList) self.yfix1 =\",\n \"in xList: if x == ' ' and indx == len(xList)-1: continue indx\",\n \"> 1: s = int(v/(1000/d))/d if s*d == int(s)*d: s = int(s) r\",\n \"' ' and indx == len(xList)-1: continue if len(yList) <= indx: continue y\",\n \"int(s) r = str(s) + 'K' elif v >= 1: s = int(v*d)/d\",\n \"print >>self.fout, endFun, type, '\\\\n' return #--- GetImage() # def GetImage(self): flog =\",\n \"m else: vInc = m # if (vMax/f)%vInc != 0 or v1 %\",\n \"self.xList = xList self.xDict = {} k = 1 for x in xList:\",\n \"= xList self.xDict = {} k = 1 for x in xList: self.xDict[x]\",\n \">>self.fout, '/xfix { ', self.x0 - self.xInc - self.xOffset,' sub ', self.xInc, '\",\n \"elif axis == 1: print >>self.fout, self.yfix1 # else: # print >>self.fout, '/yfix\",\n \"continue y = yList[indx] if isinstance(zList,list): if len(zList) <= indx: continue z =\",\n \"SeriesNames(self, names): indx = len(names) - 1 if indx == 0: return print\",\n \"sub '+str(vi)+' div }' print >>self.flog, 'v0:',v0,' vi:',vi,' v1:',v1,' (',vEnd,')' print >>self.flog, 'vList:\",\n \"- self.xOffset,' sub ', self.xInc, ' div ', 0.0,' add } def\\\\n' if\",\n \"self.xDict[x] print >>self.fout, g_indx, y, z else: print >>self.fout, x, y, z if\",\n \">>self.fout, '\\\\nshowpage\\\\nend' self.fout.close() #--- GetInc(vMin, vMax) def GetInc(self,vMin, vMax): ff = 1.0 while\",\n \"self.yfix2 = '/yfix '+fix+' def\\\\n/yinc yinc2 def' print >>self.fout, 'axpos axlen add aypos\",\n \"def' print >>self.fout, '/nextGraph { nextGraph3v } def' elif plotsPerPage == 2: print\",\n \"-c quit' print >>flog, 'cmdStr: ', cmdStr output = commands.getoutput(cmdStr) print >>flog, 'output\",\n \"-= 1 print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type) # def PlotVBars(self, xList, type):\",\n \"self.flog print >>flog, 'graph xList: ', self.xList, ' xList: ', xList, \\\\ '\",\n \"self.plotsPerPage = plotsPerPage self.yfix1 = '' self.yfix2 = '' self.xGrid = 1 self.yGrid\",\n \"print >>self.fout, g_indx, y, z else: print >>self.fout, x, y, z print >>self.fout,\",\n \"'('+ztitle+') vaxis2' if logFlag == 1: print >>self.fout, self.yfix2 print >>self.fout, 'beginFunction\\\\n' for\",\n \"', self.xList, ' xList: ', xList, \\\\ ' yList: ', yList print >>self.fout,\",\n \"10.0 if d == 1 and float(v)/inc > 1.0: d = 10.0 if\",\n \"= math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t < 0: t += 1\",\n \">>self.flog, ' '+t print >>self.fout, '('+t+')\\\\n' print >>self.fout, 'Mtitles\\\\n' # print >>self.fout, '('+title+')\\\\nMtitles\\\\n'\",\n \"100: f *= 10 # w = int(w/f) v0 = int(v0/f) v1 =\",\n \"v0Log = math.log10(v0) t = math.ceil(v0Log) ff = math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000\",\n \"0 def\\\\n' return #--- SetPlotYLogScale(axis,value) # def SetPlotYLogScale(self,axis,value): if value == 'Off': v\",\n \"m) * m if (v1 % m) != 0: v1 = int(v1 /\",\n \"1: # size = ' -g1200x550 ' size = ' -g%dx%d ' %\",\n \"else: v0 = vBeg v1 = vEnd vi = vInc if vBeg >\",\n \"xlen): self.xLen = xlen print >>self.fout, '/xAxisLen %.2f def' % self.xLen print >>self.fout,\",\n \"PlotVBars(self, xList, type): flog = self.flog print >>self.fout, self.yfix1 print >>self.fout, 'beginFunction\\\\n' endFun\",\n \"print >>self.fout, 'beginFunction\\\\n' endFun = 'endFunction\\\\n' indx = 0 for x in xList:\",\n \"s = int(s) r = str(s) + 'G' elif v >= 1000000 and\",\n \"self.colorWhite = (1,1,1) self.ColorBlack = (0,0,0) self.xSize = 1800 self.ySize = 900 shutil.copy('plot-header.ps',\",\n \"# def SetColor(self, color): rv = ' { '+str(color[0])+' '+str(color[1])+' '+str(color[2])+ \\\\ '\",\n \"-g1200x550 ' size = ' -g%dx%d ' % (self.xSize, self.ySize) xres = int(100\",\n \"if plotsPerPage == 4: print >>self.fout, '/doGraph { graph4v } def' print >>self.fout,\",\n \"= fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1 =\",\n \"logOffset += 1 t += 1 v0 = math.pow(10,math.floor(v0Log)+1) v1 = math.pow(10,math.ceil(math.log10(v1))) vi\",\n \"= '{ dup 0 eq { } { log '+str(logOffset)+' add } ifelse\",\n \"{\\\\n 40 742 moveto' print >>self.fout, '/Helvetica findfont 12 scalefont setfont' if self.pageHeader\",\n \"[] time1List = [] time2List = [] indx = 0 oldTime = 0\",\n \"GetColorIndx(indx) # def GetColorIndx(self, indx): color = self.colors[indx % self.colorsN] rv = '\",\n \"size = ' -g%dx%d ' % (self.xSize, self.ySize) xres = int(100 * self.xSize\",\n \"self.fname = fname+'.ps' self.pageHeader = pageHeader self.pageSubHeader = pageSubHeader self.plotsPerPage = plotsPerPage self.yfix1\",\n \"6.5 / (1200 * self.xLen)) yres = int(110 * self.ySize / 550) res\",\n \"logInc = int(math.log10(v/inc)) d = math.pow(10,logInc) if d == 0: d = 10.0\",\n \"SetColorIndx(self, indx, r, g, b): self.colors[indx][0] = r self.colors[indx][1] = g self.colors[indx][2] =\",\n \">>self.fout, '/nextGraph { nextGraph4v } def' elif plotsPerPage == 3: print >>self.fout, '/doGraph\",\n \"z in zList: self.fout.write('('+str(z)+') ') self.fout.write(' ]') if ztitle != '': print >>self.fout,\",\n \"show' print >>self.fout, 'showpage\\\\n} bind def' print >>self.fout, 'doGraph' #--- End() # def\",\n \"k*y k += 1 print >>self.fout, 'endFunction\\\\n' print >>self.fout, '18 { 0.72 0.52\",\n \"plotsPerPage) # class PsPlot(object): def __init__(self, fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/'\",\n \">>self.fout, self.SetColor(self.colors[indx % self.colorsN]) indx -= 1 print >>self.fout, 'fdescriptionsC' #--- PlotVBars(xList, type)\",\n \"print >>flog, 'output from gs command: ', output return self.foutPath+self.foutName+'.jpg' #--- Main #\",\n \"(logFlag==1 or (logFlag==0 and (vEnd/vBeg > 100))): v0 = vBeg v1 = vEnd\",\n \"def SetPlotPercentDir(self,value): if value == 'Vertical': print >>self.fout, '/plotNumPercentDir 1 def\\\\n' else: print\",\n \"SetPlotPercentDir(value) def SetPlotPercentDir(self,value): if value == 'Vertical': print >>self.fout, '/plotNumPercentDir 1 def\\\\n' else:\",\n \"0: if v1 % vInc != 0: v1 = int(v1/vInc)*vInc + vInc if\",\n \"print >>self.fout, 0, k*y k += 1 print >>self.fout, 'endFunction\\\\n' print >>self.fout, '19\",\n \"m) != 0: v1 = int(v1 / m) * m + m w\",\n \"self.y1Count = 0 self.y1LogScale = 0 self.y2Inc = 0 self.y2Count = 0 self.y2LogScale\",\n \"= vEnd logFlag = 1 v0Log = math.log10(v0) t = math.ceil(v0Log) ff =\",\n \"xList: ', self.xList, ' xList: ', xList, \\\\ ' yList: ', yList print\",\n \"0 and t >= tMin and t <= tMax: fromStateList.append(s1) toStateList.append(s2) time1List.append(oldTime) time2List.append(t)\",\n \"while True: vList.append(self.ValueConvert(v,vi)) if v > vEnd: break n += 1 v =\",\n \"0.0,' add } def\\\\n' if axis == 2: print >>self.fout, self.yfix2 elif axis\",\n \"self.y2Count = len(zList) print >>self.fout, '/Flag2Yaxes 1 def' self.yfix2 = '/yfix '+fix+' def\\\\n/yinc\",\n \"type) # def PlotVBars(self, xList, type): flog = self.flog print >>self.fout, self.yfix1 print\",\n \"< 0: t += 1 logOffset = 0 while t < 1: logOffset\",\n \"def __init__(self, fname, pageHeader, pageSubHeader, plotsPerPage): self.foutPath = os.path.dirname(fname)+'/' if self.foutPath == '/':\",\n \"fin = open(fname, 'r') for inputLine in fin: inputLine = inputLine.replace(' ','') inputLine\",\n \"1 w = v1 - v0 if w <= 10: vInc = 1\",\n \"tMax = int(sys.argv[2]) fname = sys.argv[3] elif len(sys.argv) != 1: print 'USAGE: psPlot.py\",\n \"rv #--- SetColor(color) # def SetColor(self, color): rv = ' { '+str(color[0])+' '+str(color[1])+'\",\n \"return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title) # def SetPlot(self,xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title): print >>self.fout, '\\\\n\\\\nnextGraph\\\\n1 setlinewidth\\\\n' (x0,x1,xi,xList,fix,logFlag) = self.GetAxis(xbeg,xend,xinc,0)\",\n \"xList: if x == ' ' and indx == len(xList)-1: continue indx +=\",\n \"= yi self.y1Count = len(yList) self.yfix1 = '/yfix '+fix+' def\\\\n /yinc yinc1 def'\",\n \"add 10 add def\\\\n' # Multiple lines in title are separated by '|'\",\n \"parent? fix = '{ dup 0 eq { } { log '+str(logOffset)+' add\",\n \"int(s)*d: s = int(s) r = str(s) + 'K' elif v >= 1:\",\n \"x, y, z if (indx != 0) and (indx % 1000) == 0:\",\n \"if (vMin % f) != 0 and vMax == v1: v1 += 1\",\n \"= 0 while t < 1: logOffset += 1 t += 1 v0\",\n \"= 1 fix = '{ '+str(v0-vi)+' sub '+str(vi)+' div }' logFlag = 0\",\n \"= math.ceil(v0Log) ff = math.modf(v0Log) if math.fabs(ff[0]) < math.fabs(v0Log)/1000 and t < 0:\"\n]","isConversational":false}}},{"rowIdx":1974,"cells":{"ngram":{"kind":"list like","value":["django.db import migrations class Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'), ] operations =","# -*- coding: utf-8 -*- # Generated by Django 1.10.3 on 2016-11-28 06:53","2016-11-28 06:53 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies","import migrations class Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'), ] operations = [","by Django 1.10.3 on 2016-11-28 06:53 from __future__ import unicode_literals from django.db import","__future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('exercises',","dependencies = [ ('exercises', '0002_auto_20161128_1718'), ] operations = [ migrations.RenameModel( old_name='Exercises', new_name='Exercise', ),","migrations class Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'), ] operations = [ migrations.RenameModel(","<filename>physio2go/exercises/migrations/0003_auto_20161128_1753.py # -*- coding: utf-8 -*- # Generated by Django 1.10.3 on 2016-11-28","on 2016-11-28 06:53 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration):","-*- coding: utf-8 -*- # Generated by Django 1.10.3 on 2016-11-28 06:53 from","class Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'), ] operations = [ migrations.RenameModel( old_name='Exercises',","Django 1.10.3 on 2016-11-28 06:53 from __future__ import unicode_literals from django.db import migrations","from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [","06:53 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies =","Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'), ] operations = [ migrations.RenameModel( old_name='Exercises', new_name='Exercise',","utf-8 -*- # Generated by Django 1.10.3 on 2016-11-28 06:53 from __future__ import","import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'),","= [ ('exercises', '0002_auto_20161128_1718'), ] operations = [ migrations.RenameModel( old_name='Exercises', new_name='Exercise', ), ]","Generated by Django 1.10.3 on 2016-11-28 06:53 from __future__ import unicode_literals from django.db","# Generated by Django 1.10.3 on 2016-11-28 06:53 from __future__ import unicode_literals from","from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'), ] operations","coding: utf-8 -*- # Generated by Django 1.10.3 on 2016-11-28 06:53 from __future__","unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'), ]","1.10.3 on 2016-11-28 06:53 from __future__ import unicode_literals from django.db import migrations class","-*- # Generated by Django 1.10.3 on 2016-11-28 06:53 from __future__ import unicode_literals"],"string":"[\n \"django.db import migrations class Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'), ] operations =\",\n \"# -*- coding: utf-8 -*- # Generated by Django 1.10.3 on 2016-11-28 06:53\",\n \"2016-11-28 06:53 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies\",\n \"import migrations class Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'), ] operations = [\",\n \"by Django 1.10.3 on 2016-11-28 06:53 from __future__ import unicode_literals from django.db import\",\n \"__future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('exercises',\",\n \"dependencies = [ ('exercises', '0002_auto_20161128_1718'), ] operations = [ migrations.RenameModel( old_name='Exercises', new_name='Exercise', ),\",\n \"migrations class Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'), ] operations = [ migrations.RenameModel(\",\n \"<filename>physio2go/exercises/migrations/0003_auto_20161128_1753.py # -*- coding: utf-8 -*- # Generated by Django 1.10.3 on 2016-11-28\",\n \"on 2016-11-28 06:53 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration):\",\n \"-*- coding: utf-8 -*- # Generated by Django 1.10.3 on 2016-11-28 06:53 from\",\n \"class Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'), ] operations = [ migrations.RenameModel( old_name='Exercises',\",\n \"Django 1.10.3 on 2016-11-28 06:53 from __future__ import unicode_literals from django.db import migrations\",\n \"from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [\",\n \"06:53 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies =\",\n \"Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'), ] operations = [ migrations.RenameModel( old_name='Exercises', new_name='Exercise',\",\n \"utf-8 -*- # Generated by Django 1.10.3 on 2016-11-28 06:53 from __future__ import\",\n \"import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'),\",\n \"= [ ('exercises', '0002_auto_20161128_1718'), ] operations = [ migrations.RenameModel( old_name='Exercises', new_name='Exercise', ), ]\",\n \"Generated by Django 1.10.3 on 2016-11-28 06:53 from __future__ import unicode_literals from django.db\",\n \"# Generated by Django 1.10.3 on 2016-11-28 06:53 from __future__ import unicode_literals from\",\n \"from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'), ] operations\",\n \"coding: utf-8 -*- # Generated by Django 1.10.3 on 2016-11-28 06:53 from __future__\",\n \"unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'), ]\",\n \"1.10.3 on 2016-11-28 06:53 from __future__ import unicode_literals from django.db import migrations class\",\n \"-*- # Generated by Django 1.10.3 on 2016-11-28 06:53 from __future__ import unicode_literals\"\n]","isConversational":false}}},{"rowIdx":1975,"cells":{"ngram":{"kind":"list like","value":["# # Licensed under the Apache License, Version 2.0 (the \"License\"); # you","writing, software # distributed under the License is distributed on an \"AS IS\"","= r\"^__version__ = ['\\\"]([^'\\\"]*)['\\\"]\" match = re.search(VSRE, version_string_line, re.M) if match: version_string =","KIND, either express or implied. # See the License for the specific language","Unless required by applicable law or agreed to in writing, software # distributed","description=\"A Python implementation of the Mender client interface\", long_description=long_description, long_description_content_type=\"text/markdown\", url=\"https://github.com/mendersoftware/mender-python-client\", classifiers=[ \"Programming","You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","the License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR","# See the License for the specific language governing permissions and # limitations","url=\"https://github.com/mendersoftware/mender-python-client\", classifiers=[ \"Programming Language :: Python :: 3\", \"License :: OSI Approved ::","License. # You may obtain a copy of the License at # #","\"OTA\", \"updater\"], packages=setuptools.find_packages(where=\"src\"), install_requires=[\"cryptography\", \"requests\", \"msgpack\", \"websockets\"], entry_points={\"console_scripts\": [\"mender-python-client=mender.mender:main\"]}, package_dir={\"\": \"src\"}, python_requires=\">=3.6\", zip_safe=False,","else: raise RuntimeError(\"Unable to find version string in %s.\" % (VERSIONFILE,)) with open(\"README.md\",","encoding=\"utf-8\") as fh: long_description = fh.read() setuptools.setup( name=\"mender-python-client-mendersoftware\", version=version_string, license=\"Apache 2.0\", author=\"Mendersoftware\", author_email=\"<EMAIL>\",","version_string_line, re.M) if match: version_string = match.group(1) else: raise RuntimeError(\"Unable to find version","with open(\"README.md\", \"r\", encoding=\"utf-8\") as fh: long_description = fh.read() setuptools.setup( name=\"mender-python-client-mendersoftware\", version=version_string, license=\"Apache","], keywords=[\"mender\", \"OTA\", \"updater\"], packages=setuptools.find_packages(where=\"src\"), install_requires=[\"cryptography\", \"requests\", \"msgpack\", \"websockets\"], entry_points={\"console_scripts\": [\"mender-python-client=mender.mender:main\"]}, package_dir={\"\": \"src\"},","packages=setuptools.find_packages(where=\"src\"), install_requires=[\"cryptography\", \"requests\", \"msgpack\", \"websockets\"], entry_points={\"console_scripts\": [\"mender-python-client=mender.mender:main\"]}, package_dir={\"\": \"src\"}, python_requires=\">=3.6\", zip_safe=False, include_package_data=True, )","law or agreed to in writing, software # distributed under the License is","the License for the specific language governing permissions and # limitations under the","compliance with the License. # You may obtain a copy of the License","import re VERSIONFILE = \"src/mender/_version.py\" version_string_line = open(VERSIONFILE, \"rt\").read() VSRE = r\"^__version__ =","= open(VERSIONFILE, \"rt\").read() VSRE = r\"^__version__ = ['\\\"]([^'\\\"]*)['\\\"]\" match = re.search(VSRE, version_string_line, re.M)","author_email=\"<EMAIL>\", description=\"A Python implementation of the Mender client interface\", long_description=long_description, long_description_content_type=\"text/markdown\", url=\"https://github.com/mendersoftware/mender-python-client\", classifiers=[","['\\\"]([^'\\\"]*)['\\\"]\" match = re.search(VSRE, version_string_line, re.M) if match: version_string = match.group(1) else: raise","on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,","Language :: Python :: 3\", \"License :: OSI Approved :: Apache Software License\",","this file except in compliance with the License. # You may obtain a","\"License :: OSI Approved :: Apache Software License\", \"Operating System :: OS Independent\",","the Apache License, Version 2.0 (the \"License\"); # you may not use this","permissions and # limitations under the License. import setuptools import re VERSIONFILE =","you may not use this file except in compliance with the License. #","for the specific language governing permissions and # limitations under the License. import","if match: version_string = match.group(1) else: raise RuntimeError(\"Unable to find version string in","r\"^__version__ = ['\\\"]([^'\\\"]*)['\\\"]\" match = re.search(VSRE, version_string_line, re.M) if match: version_string = match.group(1)","long_description = fh.read() setuptools.setup( name=\"mender-python-client-mendersoftware\", version=version_string, license=\"Apache 2.0\", author=\"Mendersoftware\", author_email=\"<EMAIL>\", description=\"A Python implementation","name=\"mender-python-client-mendersoftware\", version=version_string, license=\"Apache 2.0\", author=\"Mendersoftware\", author_email=\"<EMAIL>\", description=\"A Python implementation of the Mender client","Python :: 3\", \"License :: OSI Approved :: Apache Software License\", \"Operating System","System :: OS Independent\", ], keywords=[\"mender\", \"OTA\", \"updater\"], packages=setuptools.find_packages(where=\"src\"), install_requires=[\"cryptography\", \"requests\", \"msgpack\", \"websockets\"],","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","2.0\", author=\"Mendersoftware\", author_email=\"<EMAIL>\", description=\"A Python implementation of the Mender client interface\", long_description=long_description, long_description_content_type=\"text/markdown\",","Apache Software License\", \"Operating System :: OS Independent\", ], keywords=[\"mender\", \"OTA\", \"updater\"], packages=setuptools.find_packages(where=\"src\"),","author=\"Mendersoftware\", author_email=\"<EMAIL>\", description=\"A Python implementation of the Mender client interface\", long_description=long_description, long_description_content_type=\"text/markdown\", url=\"https://github.com/mendersoftware/mender-python-client\",","License. import setuptools import re VERSIONFILE = \"src/mender/_version.py\" version_string_line = open(VERSIONFILE, \"rt\").read() VSRE","ANY KIND, either express or implied. # See the License for the specific","version string in %s.\" % (VERSIONFILE,)) with open(\"README.md\", \"r\", encoding=\"utf-8\") as fh: long_description","Northern.tech AS # # Licensed under the Apache License, Version 2.0 (the \"License\");","2021 Northern.tech AS # # Licensed under the Apache License, Version 2.0 (the","OS Independent\", ], keywords=[\"mender\", \"OTA\", \"updater\"], packages=setuptools.find_packages(where=\"src\"), install_requires=[\"cryptography\", \"requests\", \"msgpack\", \"websockets\"], entry_points={\"console_scripts\": [\"mender-python-client=mender.mender:main\"]},","of the Mender client interface\", long_description=long_description, long_description_content_type=\"text/markdown\", url=\"https://github.com/mendersoftware/mender-python-client\", classifiers=[ \"Programming Language :: Python","\"Operating System :: OS Independent\", ], keywords=[\"mender\", \"OTA\", \"updater\"], packages=setuptools.find_packages(where=\"src\"), install_requires=[\"cryptography\", \"requests\", \"msgpack\",","in compliance with the License. # You may obtain a copy of the","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #","the License. import setuptools import re VERSIONFILE = \"src/mender/_version.py\" version_string_line = open(VERSIONFILE, \"rt\").read()","use this file except in compliance with the License. # You may obtain","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","% (VERSIONFILE,)) with open(\"README.md\", \"r\", encoding=\"utf-8\") as fh: long_description = fh.read() setuptools.setup( name=\"mender-python-client-mendersoftware\",","not use this file except in compliance with the License. # You may","WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See","See the License for the specific language governing permissions and # limitations under","match.group(1) else: raise RuntimeError(\"Unable to find version string in %s.\" % (VERSIONFILE,)) with","BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.","License, Version 2.0 (the \"License\"); # you may not use this file except","# Licensed under the Apache License, Version 2.0 (the \"License\"); # you may","(VERSIONFILE,)) with open(\"README.md\", \"r\", encoding=\"utf-8\") as fh: long_description = fh.read() setuptools.setup( name=\"mender-python-client-mendersoftware\", version=version_string,","IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or","find version string in %s.\" % (VERSIONFILE,)) with open(\"README.md\", \"r\", encoding=\"utf-8\") as fh:","3\", \"License :: OSI Approved :: Apache Software License\", \"Operating System :: OS","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","re.M) if match: version_string = match.group(1) else: raise RuntimeError(\"Unable to find version string","open(VERSIONFILE, \"rt\").read() VSRE = r\"^__version__ = ['\\\"]([^'\\\"]*)['\\\"]\" match = re.search(VSRE, version_string_line, re.M) if","VSRE = r\"^__version__ = ['\\\"]([^'\\\"]*)['\\\"]\" match = re.search(VSRE, version_string_line, re.M) if match: version_string","distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in","version_string_line = open(VERSIONFILE, \"rt\").read() VSRE = r\"^__version__ = ['\\\"]([^'\\\"]*)['\\\"]\" match = re.search(VSRE, version_string_line,","to find version string in %s.\" % (VERSIONFILE,)) with open(\"README.md\", \"r\", encoding=\"utf-8\") as",":: Python :: 3\", \"License :: OSI Approved :: Apache Software License\", \"Operating","\"updater\"], packages=setuptools.find_packages(where=\"src\"), install_requires=[\"cryptography\", \"requests\", \"msgpack\", \"websockets\"], entry_points={\"console_scripts\": [\"mender-python-client=mender.mender:main\"]}, package_dir={\"\": \"src\"}, python_requires=\">=3.6\", zip_safe=False, include_package_data=True,","OF ANY KIND, either express or implied. # See the License for the","2.0 (the \"License\"); # you may not use this file except in compliance","\"r\", encoding=\"utf-8\") as fh: long_description = fh.read() setuptools.setup( name=\"mender-python-client-mendersoftware\", version=version_string, license=\"Apache 2.0\", author=\"Mendersoftware\",","OSI Approved :: Apache Software License\", \"Operating System :: OS Independent\", ], keywords=[\"mender\",","# you may not use this file except in compliance with the License.","language governing permissions and # limitations under the License. import setuptools import re","= match.group(1) else: raise RuntimeError(\"Unable to find version string in %s.\" % (VERSIONFILE,))","raise RuntimeError(\"Unable to find version string in %s.\" % (VERSIONFILE,)) with open(\"README.md\", \"r\",","agreed to in writing, software # distributed under the License is distributed on","fh: long_description = fh.read() setuptools.setup( name=\"mender-python-client-mendersoftware\", version=version_string, license=\"Apache 2.0\", author=\"Mendersoftware\", author_email=\"<EMAIL>\", description=\"A Python","Python implementation of the Mender client interface\", long_description=long_description, long_description_content_type=\"text/markdown\", url=\"https://github.com/mendersoftware/mender-python-client\", classifiers=[ \"Programming Language","WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the",":: Apache Software License\", \"Operating System :: OS Independent\", ], keywords=[\"mender\", \"OTA\", \"updater\"],","specific language governing permissions and # limitations under the License. import setuptools import","version_string = match.group(1) else: raise RuntimeError(\"Unable to find version string in %s.\" %","# limitations under the License. import setuptools import re VERSIONFILE = \"src/mender/_version.py\" version_string_line","(the \"License\"); # you may not use this file except in compliance with","VERSIONFILE = \"src/mender/_version.py\" version_string_line = open(VERSIONFILE, \"rt\").read() VSRE = r\"^__version__ = ['\\\"]([^'\\\"]*)['\\\"]\" match","long_description_content_type=\"text/markdown\", url=\"https://github.com/mendersoftware/mender-python-client\", classifiers=[ \"Programming Language :: Python :: 3\", \"License :: OSI Approved","# # Unless required by applicable law or agreed to in writing, software","re VERSIONFILE = \"src/mender/_version.py\" version_string_line = open(VERSIONFILE, \"rt\").read() VSRE = r\"^__version__ = ['\\\"]([^'\\\"]*)['\\\"]\"","\"Programming Language :: Python :: 3\", \"License :: OSI Approved :: Apache Software",":: 3\", \"License :: OSI Approved :: Apache Software License\", \"Operating System ::","RuntimeError(\"Unable to find version string in %s.\" % (VERSIONFILE,)) with open(\"README.md\", \"r\", encoding=\"utf-8\")","express or implied. # See the License for the specific language governing permissions","Version 2.0 (the \"License\"); # you may not use this file except in","# Unless required by applicable law or agreed to in writing, software #","classifiers=[ \"Programming Language :: Python :: 3\", \"License :: OSI Approved :: Apache","except in compliance with the License. # You may obtain a copy of","by applicable law or agreed to in writing, software # distributed under the","and # limitations under the License. import setuptools import re VERSIONFILE = \"src/mender/_version.py\"","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","under the License. import setuptools import re VERSIONFILE = \"src/mender/_version.py\" version_string_line = open(VERSIONFILE,","either express or implied. # See the License for the specific language governing","software # distributed under the License is distributed on an \"AS IS\" BASIS,","the specific language governing permissions and # limitations under the License. import setuptools","open(\"README.md\", \"r\", encoding=\"utf-8\") as fh: long_description = fh.read() setuptools.setup( name=\"mender-python-client-mendersoftware\", version=version_string, license=\"Apache 2.0\",","string in %s.\" % (VERSIONFILE,)) with open(\"README.md\", \"r\", encoding=\"utf-8\") as fh: long_description =","implementation of the Mender client interface\", long_description=long_description, long_description_content_type=\"text/markdown\", url=\"https://github.com/mendersoftware/mender-python-client\", classifiers=[ \"Programming Language ::","# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","may not use this file except in compliance with the License. # You","License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS","Licensed under the Apache License, Version 2.0 (the \"License\"); # you may not","an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either","Copyright 2021 Northern.tech AS # # Licensed under the Apache License, Version 2.0","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to","file except in compliance with the License. # You may obtain a copy","= re.search(VSRE, version_string_line, re.M) if match: version_string = match.group(1) else: raise RuntimeError(\"Unable to","governing permissions and # limitations under the License. import setuptools import re VERSIONFILE",":: OS Independent\", ], keywords=[\"mender\", \"OTA\", \"updater\"], packages=setuptools.find_packages(where=\"src\"), install_requires=[\"cryptography\", \"requests\", \"msgpack\", \"websockets\"], entry_points={\"console_scripts\":","match: version_string = match.group(1) else: raise RuntimeError(\"Unable to find version string in %s.\"","re.search(VSRE, version_string_line, re.M) if match: version_string = match.group(1) else: raise RuntimeError(\"Unable to find","under the License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES","match = re.search(VSRE, version_string_line, re.M) if match: version_string = match.group(1) else: raise RuntimeError(\"Unable","fh.read() setuptools.setup( name=\"mender-python-client-mendersoftware\", version=version_string, license=\"Apache 2.0\", author=\"Mendersoftware\", author_email=\"<EMAIL>\", description=\"A Python implementation of the","Approved :: Apache Software License\", \"Operating System :: OS Independent\", ], keywords=[\"mender\", \"OTA\",","long_description=long_description, long_description_content_type=\"text/markdown\", url=\"https://github.com/mendersoftware/mender-python-client\", classifiers=[ \"Programming Language :: Python :: 3\", \"License :: OSI","License for the specific language governing permissions and # limitations under the License.","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","setuptools import re VERSIONFILE = \"src/mender/_version.py\" version_string_line = open(VERSIONFILE, \"rt\").read() VSRE = r\"^__version__","the License. # You may obtain a copy of the License at #","to in writing, software # distributed under the License is distributed on an","\"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express","as fh: long_description = fh.read() setuptools.setup( name=\"mender-python-client-mendersoftware\", version=version_string, license=\"Apache 2.0\", author=\"Mendersoftware\", author_email=\"<EMAIL>\", description=\"A","# distributed under the License is distributed on an \"AS IS\" BASIS, #","implied. # See the License for the specific language governing permissions and #",":: OSI Approved :: Apache Software License\", \"Operating System :: OS Independent\", ],","\"License\"); # you may not use this file except in compliance with the","the Mender client interface\", long_description=long_description, long_description_content_type=\"text/markdown\", url=\"https://github.com/mendersoftware/mender-python-client\", classifiers=[ \"Programming Language :: Python ::","is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","required by applicable law or agreed to in writing, software # distributed under","License\", \"Operating System :: OS Independent\", ], keywords=[\"mender\", \"OTA\", \"updater\"], packages=setuptools.find_packages(where=\"src\"), install_requires=[\"cryptography\", \"requests\",","# Copyright 2021 Northern.tech AS # # Licensed under the Apache License, Version","AS # # Licensed under the Apache License, Version 2.0 (the \"License\"); #","client interface\", long_description=long_description, long_description_content_type=\"text/markdown\", url=\"https://github.com/mendersoftware/mender-python-client\", classifiers=[ \"Programming Language :: Python :: 3\", \"License","applicable law or agreed to in writing, software # distributed under the License","license=\"Apache 2.0\", author=\"Mendersoftware\", author_email=\"<EMAIL>\", description=\"A Python implementation of the Mender client interface\", long_description=long_description,","= ['\\\"]([^'\\\"]*)['\\\"]\" match = re.search(VSRE, version_string_line, re.M) if match: version_string = match.group(1) else:","Software License\", \"Operating System :: OS Independent\", ], keywords=[\"mender\", \"OTA\", \"updater\"], packages=setuptools.find_packages(where=\"src\"), install_requires=[\"cryptography\",","interface\", long_description=long_description, long_description_content_type=\"text/markdown\", url=\"https://github.com/mendersoftware/mender-python-client\", classifiers=[ \"Programming Language :: Python :: 3\", \"License ::","keywords=[\"mender\", \"OTA\", \"updater\"], packages=setuptools.find_packages(where=\"src\"), install_requires=[\"cryptography\", \"requests\", \"msgpack\", \"websockets\"], entry_points={\"console_scripts\": [\"mender-python-client=mender.mender:main\"]}, package_dir={\"\": \"src\"}, python_requires=\">=3.6\",","\"rt\").read() VSRE = r\"^__version__ = ['\\\"]([^'\\\"]*)['\\\"]\" match = re.search(VSRE, version_string_line, re.M) if match:","= \"src/mender/_version.py\" version_string_line = open(VERSIONFILE, \"rt\").read() VSRE = r\"^__version__ = ['\\\"]([^'\\\"]*)['\\\"]\" match =","or agreed to in writing, software # distributed under the License is distributed","import setuptools import re VERSIONFILE = \"src/mender/_version.py\" version_string_line = open(VERSIONFILE, \"rt\").read() VSRE =","or implied. # See the License for the specific language governing permissions and","limitations under the License. import setuptools import re VERSIONFILE = \"src/mender/_version.py\" version_string_line =","%s.\" % (VERSIONFILE,)) with open(\"README.md\", \"r\", encoding=\"utf-8\") as fh: long_description = fh.read() setuptools.setup(","Independent\", ], keywords=[\"mender\", \"OTA\", \"updater\"], packages=setuptools.find_packages(where=\"src\"), install_requires=[\"cryptography\", \"requests\", \"msgpack\", \"websockets\"], entry_points={\"console_scripts\": [\"mender-python-client=mender.mender:main\"]}, package_dir={\"\":","distributed under the License is distributed on an \"AS IS\" BASIS, # WITHOUT","CONDITIONS OF ANY KIND, either express or implied. # See the License for","Apache License, Version 2.0 (the \"License\"); # you may not use this file","OR CONDITIONS OF ANY KIND, either express or implied. # See the License","may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","Mender client interface\", long_description=long_description, long_description_content_type=\"text/markdown\", url=\"https://github.com/mendersoftware/mender-python-client\", classifiers=[ \"Programming Language :: Python :: 3\",","= fh.read() setuptools.setup( name=\"mender-python-client-mendersoftware\", version=version_string, license=\"Apache 2.0\", author=\"Mendersoftware\", author_email=\"<EMAIL>\", description=\"A Python implementation of","with the License. # You may obtain a copy of the License at","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,","in writing, software # distributed under the License is distributed on an \"AS","in %s.\" % (VERSIONFILE,)) with open(\"README.md\", \"r\", encoding=\"utf-8\") as fh: long_description = fh.read()","under the Apache License, Version 2.0 (the \"License\"); # you may not use","setuptools.setup( name=\"mender-python-client-mendersoftware\", version=version_string, license=\"Apache 2.0\", author=\"Mendersoftware\", author_email=\"<EMAIL>\", description=\"A Python implementation of the Mender","version=version_string, license=\"Apache 2.0\", author=\"Mendersoftware\", author_email=\"<EMAIL>\", description=\"A Python implementation of the Mender client interface\",","\"src/mender/_version.py\" version_string_line = open(VERSIONFILE, \"rt\").read() VSRE = r\"^__version__ = ['\\\"]([^'\\\"]*)['\\\"]\" match = re.search(VSRE,"],"string":"[\n \"# # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you\",\n \"writing, software # distributed under the License is distributed on an \\\"AS IS\\\"\",\n \"= r\\\"^__version__ = ['\\\\\\\"]([^'\\\\\\\"]*)['\\\\\\\"]\\\" match = re.search(VSRE, version_string_line, re.M) if match: version_string =\",\n \"KIND, either express or implied. # See the License for the specific language\",\n \"Unless required by applicable law or agreed to in writing, software # distributed\",\n \"description=\\\"A Python implementation of the Mender client interface\\\", long_description=long_description, long_description_content_type=\\\"text/markdown\\\", url=\\\"https://github.com/mendersoftware/mender-python-client\\\", classifiers=[ \\\"Programming\",\n \"You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR\",\n \"# See the License for the specific language governing permissions and # limitations\",\n \"url=\\\"https://github.com/mendersoftware/mender-python-client\\\", classifiers=[ \\\"Programming Language :: Python :: 3\\\", \\\"License :: OSI Approved ::\",\n \"License. # You may obtain a copy of the License at # #\",\n \"\\\"OTA\\\", \\\"updater\\\"], packages=setuptools.find_packages(where=\\\"src\\\"), install_requires=[\\\"cryptography\\\", \\\"requests\\\", \\\"msgpack\\\", \\\"websockets\\\"], entry_points={\\\"console_scripts\\\": [\\\"mender-python-client=mender.mender:main\\\"]}, package_dir={\\\"\\\": \\\"src\\\"}, python_requires=\\\">=3.6\\\", zip_safe=False,\",\n \"else: raise RuntimeError(\\\"Unable to find version string in %s.\\\" % (VERSIONFILE,)) with open(\\\"README.md\\\",\",\n \"encoding=\\\"utf-8\\\") as fh: long_description = fh.read() setuptools.setup( name=\\\"mender-python-client-mendersoftware\\\", version=version_string, license=\\\"Apache 2.0\\\", author=\\\"Mendersoftware\\\", author_email=\\\"<EMAIL>\\\",\",\n \"version_string_line, re.M) if match: version_string = match.group(1) else: raise RuntimeError(\\\"Unable to find version\",\n \"with open(\\\"README.md\\\", \\\"r\\\", encoding=\\\"utf-8\\\") as fh: long_description = fh.read() setuptools.setup( name=\\\"mender-python-client-mendersoftware\\\", version=version_string, license=\\\"Apache\",\n \"], keywords=[\\\"mender\\\", \\\"OTA\\\", \\\"updater\\\"], packages=setuptools.find_packages(where=\\\"src\\\"), install_requires=[\\\"cryptography\\\", \\\"requests\\\", \\\"msgpack\\\", \\\"websockets\\\"], entry_points={\\\"console_scripts\\\": [\\\"mender-python-client=mender.mender:main\\\"]}, package_dir={\\\"\\\": \\\"src\\\"},\",\n \"packages=setuptools.find_packages(where=\\\"src\\\"), install_requires=[\\\"cryptography\\\", \\\"requests\\\", \\\"msgpack\\\", \\\"websockets\\\"], entry_points={\\\"console_scripts\\\": [\\\"mender-python-client=mender.mender:main\\\"]}, package_dir={\\\"\\\": \\\"src\\\"}, python_requires=\\\">=3.6\\\", zip_safe=False, include_package_data=True, )\",\n \"law or agreed to in writing, software # distributed under the License is\",\n \"the License for the specific language governing permissions and # limitations under the\",\n \"compliance with the License. # You may obtain a copy of the License\",\n \"import re VERSIONFILE = \\\"src/mender/_version.py\\\" version_string_line = open(VERSIONFILE, \\\"rt\\\").read() VSRE = r\\\"^__version__ =\",\n \"= open(VERSIONFILE, \\\"rt\\\").read() VSRE = r\\\"^__version__ = ['\\\\\\\"]([^'\\\\\\\"]*)['\\\\\\\"]\\\" match = re.search(VSRE, version_string_line, re.M)\",\n \"author_email=\\\"<EMAIL>\\\", description=\\\"A Python implementation of the Mender client interface\\\", long_description=long_description, long_description_content_type=\\\"text/markdown\\\", url=\\\"https://github.com/mendersoftware/mender-python-client\\\", classifiers=[\",\n \"['\\\\\\\"]([^'\\\\\\\"]*)['\\\\\\\"]\\\" match = re.search(VSRE, version_string_line, re.M) if match: version_string = match.group(1) else: raise\",\n \"on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,\",\n \"Language :: Python :: 3\\\", \\\"License :: OSI Approved :: Apache Software License\\\",\",\n \"this file except in compliance with the License. # You may obtain a\",\n \"\\\"License :: OSI Approved :: Apache Software License\\\", \\\"Operating System :: OS Independent\\\",\",\n \"the Apache License, Version 2.0 (the \\\"License\\\"); # you may not use this\",\n \"permissions and # limitations under the License. import setuptools import re VERSIONFILE =\",\n \"you may not use this file except in compliance with the License. #\",\n \"for the specific language governing permissions and # limitations under the License. import\",\n \"if match: version_string = match.group(1) else: raise RuntimeError(\\\"Unable to find version string in\",\n \"r\\\"^__version__ = ['\\\\\\\"]([^'\\\\\\\"]*)['\\\\\\\"]\\\" match = re.search(VSRE, version_string_line, re.M) if match: version_string = match.group(1)\",\n \"long_description = fh.read() setuptools.setup( name=\\\"mender-python-client-mendersoftware\\\", version=version_string, license=\\\"Apache 2.0\\\", author=\\\"Mendersoftware\\\", author_email=\\\"<EMAIL>\\\", description=\\\"A Python implementation\",\n \"name=\\\"mender-python-client-mendersoftware\\\", version=version_string, license=\\\"Apache 2.0\\\", author=\\\"Mendersoftware\\\", author_email=\\\"<EMAIL>\\\", description=\\\"A Python implementation of the Mender client\",\n \"Python :: 3\\\", \\\"License :: OSI Approved :: Apache Software License\\\", \\\"Operating System\",\n \"System :: OS Independent\\\", ], keywords=[\\\"mender\\\", \\\"OTA\\\", \\\"updater\\\"], packages=setuptools.find_packages(where=\\\"src\\\"), install_requires=[\\\"cryptography\\\", \\\"requests\\\", \\\"msgpack\\\", \\\"websockets\\\"],\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"2.0\\\", author=\\\"Mendersoftware\\\", author_email=\\\"<EMAIL>\\\", description=\\\"A Python implementation of the Mender client interface\\\", long_description=long_description, long_description_content_type=\\\"text/markdown\\\",\",\n \"Apache Software License\\\", \\\"Operating System :: OS Independent\\\", ], keywords=[\\\"mender\\\", \\\"OTA\\\", \\\"updater\\\"], packages=setuptools.find_packages(where=\\\"src\\\"),\",\n \"author=\\\"Mendersoftware\\\", author_email=\\\"<EMAIL>\\\", description=\\\"A Python implementation of the Mender client interface\\\", long_description=long_description, long_description_content_type=\\\"text/markdown\\\", url=\\\"https://github.com/mendersoftware/mender-python-client\\\",\",\n \"License. import setuptools import re VERSIONFILE = \\\"src/mender/_version.py\\\" version_string_line = open(VERSIONFILE, \\\"rt\\\").read() VSRE\",\n \"ANY KIND, either express or implied. # See the License for the specific\",\n \"version string in %s.\\\" % (VERSIONFILE,)) with open(\\\"README.md\\\", \\\"r\\\", encoding=\\\"utf-8\\\") as fh: long_description\",\n \"Northern.tech AS # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\");\",\n \"2021 Northern.tech AS # # Licensed under the Apache License, Version 2.0 (the\",\n \"OS Independent\\\", ], keywords=[\\\"mender\\\", \\\"OTA\\\", \\\"updater\\\"], packages=setuptools.find_packages(where=\\\"src\\\"), install_requires=[\\\"cryptography\\\", \\\"requests\\\", \\\"msgpack\\\", \\\"websockets\\\"], entry_points={\\\"console_scripts\\\": [\\\"mender-python-client=mender.mender:main\\\"]},\",\n \"of the Mender client interface\\\", long_description=long_description, long_description_content_type=\\\"text/markdown\\\", url=\\\"https://github.com/mendersoftware/mender-python-client\\\", classifiers=[ \\\"Programming Language :: Python\",\n \"\\\"Operating System :: OS Independent\\\", ], keywords=[\\\"mender\\\", \\\"OTA\\\", \\\"updater\\\"], packages=setuptools.find_packages(where=\\\"src\\\"), install_requires=[\\\"cryptography\\\", \\\"requests\\\", \\\"msgpack\\\",\",\n \"in compliance with the License. # You may obtain a copy of the\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #\",\n \"the License. import setuptools import re VERSIONFILE = \\\"src/mender/_version.py\\\" version_string_line = open(VERSIONFILE, \\\"rt\\\").read()\",\n \"use this file except in compliance with the License. # You may obtain\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"% (VERSIONFILE,)) with open(\\\"README.md\\\", \\\"r\\\", encoding=\\\"utf-8\\\") as fh: long_description = fh.read() setuptools.setup( name=\\\"mender-python-client-mendersoftware\\\",\",\n \"not use this file except in compliance with the License. # You may\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See\",\n \"See the License for the specific language governing permissions and # limitations under\",\n \"match.group(1) else: raise RuntimeError(\\\"Unable to find version string in %s.\\\" % (VERSIONFILE,)) with\",\n \"BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\",\n \"License, Version 2.0 (the \\\"License\\\"); # you may not use this file except\",\n \"# Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you may\",\n \"(VERSIONFILE,)) with open(\\\"README.md\\\", \\\"r\\\", encoding=\\\"utf-8\\\") as fh: long_description = fh.read() setuptools.setup( name=\\\"mender-python-client-mendersoftware\\\", version=version_string,\",\n \"IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or\",\n \"find version string in %s.\\\" % (VERSIONFILE,)) with open(\\\"README.md\\\", \\\"r\\\", encoding=\\\"utf-8\\\") as fh:\",\n \"3\\\", \\\"License :: OSI Approved :: Apache Software License\\\", \\\"Operating System :: OS\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"re.M) if match: version_string = match.group(1) else: raise RuntimeError(\\\"Unable to find version string\",\n \"open(VERSIONFILE, \\\"rt\\\").read() VSRE = r\\\"^__version__ = ['\\\\\\\"]([^'\\\\\\\"]*)['\\\\\\\"]\\\" match = re.search(VSRE, version_string_line, re.M) if\",\n \"VSRE = r\\\"^__version__ = ['\\\\\\\"]([^'\\\\\\\"]*)['\\\\\\\"]\\\" match = re.search(VSRE, version_string_line, re.M) if match: version_string\",\n \"distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in\",\n \"version_string_line = open(VERSIONFILE, \\\"rt\\\").read() VSRE = r\\\"^__version__ = ['\\\\\\\"]([^'\\\\\\\"]*)['\\\\\\\"]\\\" match = re.search(VSRE, version_string_line,\",\n \"to find version string in %s.\\\" % (VERSIONFILE,)) with open(\\\"README.md\\\", \\\"r\\\", encoding=\\\"utf-8\\\") as\",\n \":: Python :: 3\\\", \\\"License :: OSI Approved :: Apache Software License\\\", \\\"Operating\",\n \"\\\"updater\\\"], packages=setuptools.find_packages(where=\\\"src\\\"), install_requires=[\\\"cryptography\\\", \\\"requests\\\", \\\"msgpack\\\", \\\"websockets\\\"], entry_points={\\\"console_scripts\\\": [\\\"mender-python-client=mender.mender:main\\\"]}, package_dir={\\\"\\\": \\\"src\\\"}, python_requires=\\\">=3.6\\\", zip_safe=False, include_package_data=True,\",\n \"OF ANY KIND, either express or implied. # See the License for the\",\n \"2.0 (the \\\"License\\\"); # you may not use this file except in compliance\",\n \"\\\"r\\\", encoding=\\\"utf-8\\\") as fh: long_description = fh.read() setuptools.setup( name=\\\"mender-python-client-mendersoftware\\\", version=version_string, license=\\\"Apache 2.0\\\", author=\\\"Mendersoftware\\\",\",\n \"OSI Approved :: Apache Software License\\\", \\\"Operating System :: OS Independent\\\", ], keywords=[\\\"mender\\\",\",\n \"# you may not use this file except in compliance with the License.\",\n \"language governing permissions and # limitations under the License. import setuptools import re\",\n \"= match.group(1) else: raise RuntimeError(\\\"Unable to find version string in %s.\\\" % (VERSIONFILE,))\",\n \"raise RuntimeError(\\\"Unable to find version string in %s.\\\" % (VERSIONFILE,)) with open(\\\"README.md\\\", \\\"r\\\",\",\n \"agreed to in writing, software # distributed under the License is distributed on\",\n \"fh: long_description = fh.read() setuptools.setup( name=\\\"mender-python-client-mendersoftware\\\", version=version_string, license=\\\"Apache 2.0\\\", author=\\\"Mendersoftware\\\", author_email=\\\"<EMAIL>\\\", description=\\\"A Python\",\n \"Python implementation of the Mender client interface\\\", long_description=long_description, long_description_content_type=\\\"text/markdown\\\", url=\\\"https://github.com/mendersoftware/mender-python-client\\\", classifiers=[ \\\"Programming Language\",\n \"WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the\",\n \":: Apache Software License\\\", \\\"Operating System :: OS Independent\\\", ], keywords=[\\\"mender\\\", \\\"OTA\\\", \\\"updater\\\"],\",\n \"specific language governing permissions and # limitations under the License. import setuptools import\",\n \"version_string = match.group(1) else: raise RuntimeError(\\\"Unable to find version string in %s.\\\" %\",\n \"# limitations under the License. import setuptools import re VERSIONFILE = \\\"src/mender/_version.py\\\" version_string_line\",\n \"(the \\\"License\\\"); # you may not use this file except in compliance with\",\n \"VERSIONFILE = \\\"src/mender/_version.py\\\" version_string_line = open(VERSIONFILE, \\\"rt\\\").read() VSRE = r\\\"^__version__ = ['\\\\\\\"]([^'\\\\\\\"]*)['\\\\\\\"]\\\" match\",\n \"long_description_content_type=\\\"text/markdown\\\", url=\\\"https://github.com/mendersoftware/mender-python-client\\\", classifiers=[ \\\"Programming Language :: Python :: 3\\\", \\\"License :: OSI Approved\",\n \"# # Unless required by applicable law or agreed to in writing, software\",\n \"re VERSIONFILE = \\\"src/mender/_version.py\\\" version_string_line = open(VERSIONFILE, \\\"rt\\\").read() VSRE = r\\\"^__version__ = ['\\\\\\\"]([^'\\\\\\\"]*)['\\\\\\\"]\\\"\",\n \"\\\"Programming Language :: Python :: 3\\\", \\\"License :: OSI Approved :: Apache Software\",\n \":: 3\\\", \\\"License :: OSI Approved :: Apache Software License\\\", \\\"Operating System ::\",\n \"RuntimeError(\\\"Unable to find version string in %s.\\\" % (VERSIONFILE,)) with open(\\\"README.md\\\", \\\"r\\\", encoding=\\\"utf-8\\\")\",\n \"express or implied. # See the License for the specific language governing permissions\",\n \"Version 2.0 (the \\\"License\\\"); # you may not use this file except in\",\n \"# Unless required by applicable law or agreed to in writing, software #\",\n \"classifiers=[ \\\"Programming Language :: Python :: 3\\\", \\\"License :: OSI Approved :: Apache\",\n \"except in compliance with the License. # You may obtain a copy of\",\n \"by applicable law or agreed to in writing, software # distributed under the\",\n \"and # limitations under the License. import setuptools import re VERSIONFILE = \\\"src/mender/_version.py\\\"\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"under the License. import setuptools import re VERSIONFILE = \\\"src/mender/_version.py\\\" version_string_line = open(VERSIONFILE,\",\n \"either express or implied. # See the License for the specific language governing\",\n \"software # distributed under the License is distributed on an \\\"AS IS\\\" BASIS,\",\n \"the specific language governing permissions and # limitations under the License. import setuptools\",\n \"open(\\\"README.md\\\", \\\"r\\\", encoding=\\\"utf-8\\\") as fh: long_description = fh.read() setuptools.setup( name=\\\"mender-python-client-mendersoftware\\\", version=version_string, license=\\\"Apache 2.0\\\",\",\n \"string in %s.\\\" % (VERSIONFILE,)) with open(\\\"README.md\\\", \\\"r\\\", encoding=\\\"utf-8\\\") as fh: long_description =\",\n \"implementation of the Mender client interface\\\", long_description=long_description, long_description_content_type=\\\"text/markdown\\\", url=\\\"https://github.com/mendersoftware/mender-python-client\\\", classifiers=[ \\\"Programming Language ::\",\n \"# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"may not use this file except in compliance with the License. # You\",\n \"License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS\",\n \"Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you may not\",\n \"an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either\",\n \"Copyright 2021 Northern.tech AS # # Licensed under the Apache License, Version 2.0\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to\",\n \"file except in compliance with the License. # You may obtain a copy\",\n \"= re.search(VSRE, version_string_line, re.M) if match: version_string = match.group(1) else: raise RuntimeError(\\\"Unable to\",\n \"governing permissions and # limitations under the License. import setuptools import re VERSIONFILE\",\n \":: OS Independent\\\", ], keywords=[\\\"mender\\\", \\\"OTA\\\", \\\"updater\\\"], packages=setuptools.find_packages(where=\\\"src\\\"), install_requires=[\\\"cryptography\\\", \\\"requests\\\", \\\"msgpack\\\", \\\"websockets\\\"], entry_points={\\\"console_scripts\\\":\",\n \"match: version_string = match.group(1) else: raise RuntimeError(\\\"Unable to find version string in %s.\\\"\",\n \"re.search(VSRE, version_string_line, re.M) if match: version_string = match.group(1) else: raise RuntimeError(\\\"Unable to find\",\n \"under the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES\",\n \"match = re.search(VSRE, version_string_line, re.M) if match: version_string = match.group(1) else: raise RuntimeError(\\\"Unable\",\n \"fh.read() setuptools.setup( name=\\\"mender-python-client-mendersoftware\\\", version=version_string, license=\\\"Apache 2.0\\\", author=\\\"Mendersoftware\\\", author_email=\\\"<EMAIL>\\\", description=\\\"A Python implementation of the\",\n \"Approved :: Apache Software License\\\", \\\"Operating System :: OS Independent\\\", ], keywords=[\\\"mender\\\", \\\"OTA\\\",\",\n \"long_description=long_description, long_description_content_type=\\\"text/markdown\\\", url=\\\"https://github.com/mendersoftware/mender-python-client\\\", classifiers=[ \\\"Programming Language :: Python :: 3\\\", \\\"License :: OSI\",\n \"License for the specific language governing permissions and # limitations under the License.\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"setuptools import re VERSIONFILE = \\\"src/mender/_version.py\\\" version_string_line = open(VERSIONFILE, \\\"rt\\\").read() VSRE = r\\\"^__version__\",\n \"the License. # You may obtain a copy of the License at #\",\n \"to in writing, software # distributed under the License is distributed on an\",\n \"\\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express\",\n \"as fh: long_description = fh.read() setuptools.setup( name=\\\"mender-python-client-mendersoftware\\\", version=version_string, license=\\\"Apache 2.0\\\", author=\\\"Mendersoftware\\\", author_email=\\\"<EMAIL>\\\", description=\\\"A\",\n \"# distributed under the License is distributed on an \\\"AS IS\\\" BASIS, #\",\n \"implied. # See the License for the specific language governing permissions and #\",\n \":: OSI Approved :: Apache Software License\\\", \\\"Operating System :: OS Independent\\\", ],\",\n \"\\\"License\\\"); # you may not use this file except in compliance with the\",\n \"the Mender client interface\\\", long_description=long_description, long_description_content_type=\\\"text/markdown\\\", url=\\\"https://github.com/mendersoftware/mender-python-client\\\", classifiers=[ \\\"Programming Language :: Python ::\",\n \"is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"required by applicable law or agreed to in writing, software # distributed under\",\n \"License\\\", \\\"Operating System :: OS Independent\\\", ], keywords=[\\\"mender\\\", \\\"OTA\\\", \\\"updater\\\"], packages=setuptools.find_packages(where=\\\"src\\\"), install_requires=[\\\"cryptography\\\", \\\"requests\\\",\",\n \"# Copyright 2021 Northern.tech AS # # Licensed under the Apache License, Version\",\n \"AS # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); #\",\n \"client interface\\\", long_description=long_description, long_description_content_type=\\\"text/markdown\\\", url=\\\"https://github.com/mendersoftware/mender-python-client\\\", classifiers=[ \\\"Programming Language :: Python :: 3\\\", \\\"License\",\n \"applicable law or agreed to in writing, software # distributed under the License\",\n \"license=\\\"Apache 2.0\\\", author=\\\"Mendersoftware\\\", author_email=\\\"<EMAIL>\\\", description=\\\"A Python implementation of the Mender client interface\\\", long_description=long_description,\",\n \"= ['\\\\\\\"]([^'\\\\\\\"]*)['\\\\\\\"]\\\" match = re.search(VSRE, version_string_line, re.M) if match: version_string = match.group(1) else:\",\n \"Software License\\\", \\\"Operating System :: OS Independent\\\", ], keywords=[\\\"mender\\\", \\\"OTA\\\", \\\"updater\\\"], packages=setuptools.find_packages(where=\\\"src\\\"), install_requires=[\\\"cryptography\\\",\",\n \"interface\\\", long_description=long_description, long_description_content_type=\\\"text/markdown\\\", url=\\\"https://github.com/mendersoftware/mender-python-client\\\", classifiers=[ \\\"Programming Language :: Python :: 3\\\", \\\"License ::\",\n \"keywords=[\\\"mender\\\", \\\"OTA\\\", \\\"updater\\\"], packages=setuptools.find_packages(where=\\\"src\\\"), install_requires=[\\\"cryptography\\\", \\\"requests\\\", \\\"msgpack\\\", \\\"websockets\\\"], entry_points={\\\"console_scripts\\\": [\\\"mender-python-client=mender.mender:main\\\"]}, package_dir={\\\"\\\": \\\"src\\\"}, python_requires=\\\">=3.6\\\",\",\n \"\\\"rt\\\").read() VSRE = r\\\"^__version__ = ['\\\\\\\"]([^'\\\\\\\"]*)['\\\\\\\"]\\\" match = re.search(VSRE, version_string_line, re.M) if match:\",\n \"= \\\"src/mender/_version.py\\\" version_string_line = open(VERSIONFILE, \\\"rt\\\").read() VSRE = r\\\"^__version__ = ['\\\\\\\"]([^'\\\\\\\"]*)['\\\\\\\"]\\\" match =\",\n \"or agreed to in writing, software # distributed under the License is distributed\",\n \"import setuptools import re VERSIONFILE = \\\"src/mender/_version.py\\\" version_string_line = open(VERSIONFILE, \\\"rt\\\").read() VSRE =\",\n \"or implied. # See the License for the specific language governing permissions and\",\n \"limitations under the License. import setuptools import re VERSIONFILE = \\\"src/mender/_version.py\\\" version_string_line =\",\n \"%s.\\\" % (VERSIONFILE,)) with open(\\\"README.md\\\", \\\"r\\\", encoding=\\\"utf-8\\\") as fh: long_description = fh.read() setuptools.setup(\",\n \"Independent\\\", ], keywords=[\\\"mender\\\", \\\"OTA\\\", \\\"updater\\\"], packages=setuptools.find_packages(where=\\\"src\\\"), install_requires=[\\\"cryptography\\\", \\\"requests\\\", \\\"msgpack\\\", \\\"websockets\\\"], entry_points={\\\"console_scripts\\\": [\\\"mender-python-client=mender.mender:main\\\"]}, package_dir={\\\"\\\":\",\n \"distributed under the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT\",\n \"CONDITIONS OF ANY KIND, either express or implied. # See the License for\",\n \"Apache License, Version 2.0 (the \\\"License\\\"); # you may not use this file\",\n \"OR CONDITIONS OF ANY KIND, either express or implied. # See the License\",\n \"may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"Mender client interface\\\", long_description=long_description, long_description_content_type=\\\"text/markdown\\\", url=\\\"https://github.com/mendersoftware/mender-python-client\\\", classifiers=[ \\\"Programming Language :: Python :: 3\\\",\",\n \"= fh.read() setuptools.setup( name=\\\"mender-python-client-mendersoftware\\\", version=version_string, license=\\\"Apache 2.0\\\", author=\\\"Mendersoftware\\\", author_email=\\\"<EMAIL>\\\", description=\\\"A Python implementation of\",\n \"with the License. # You may obtain a copy of the License at\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,\",\n \"in writing, software # distributed under the License is distributed on an \\\"AS\",\n \"in %s.\\\" % (VERSIONFILE,)) with open(\\\"README.md\\\", \\\"r\\\", encoding=\\\"utf-8\\\") as fh: long_description = fh.read()\",\n \"under the Apache License, Version 2.0 (the \\\"License\\\"); # you may not use\",\n \"setuptools.setup( name=\\\"mender-python-client-mendersoftware\\\", version=version_string, license=\\\"Apache 2.0\\\", author=\\\"Mendersoftware\\\", author_email=\\\"<EMAIL>\\\", description=\\\"A Python implementation of the Mender\",\n \"version=version_string, license=\\\"Apache 2.0\\\", author=\\\"Mendersoftware\\\", author_email=\\\"<EMAIL>\\\", description=\\\"A Python implementation of the Mender client interface\\\",\",\n \"\\\"src/mender/_version.py\\\" version_string_line = open(VERSIONFILE, \\\"rt\\\").read() VSRE = r\\\"^__version__ = ['\\\\\\\"]([^'\\\\\\\"]*)['\\\\\\\"]\\\" match = re.search(VSRE,\"\n]","isConversational":false}}},{"rowIdx":1976,"cells":{"ngram":{"kind":"list like","value":["structure here. \"\"\" self.hi = [] self.lo = [] def addNum(self, num: int)","heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float: if len(self.hi) > len(self.lo): return self.hi[0] if","295 find median from data stream hard \"\"\" from heapq import * class","len(self.lo): return (self.hi[0] - self.lo[0]) / 2.0 sol = MedianFinder() sol.addNum(1) print(sol.findMedian()) sol.addNum(2)","heap and min heap def __init__(self): \"\"\" initialize your data structure here. \"\"\"","num: int) -> None: heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo))","self.hi = [] self.lo = [] def addNum(self, num: int) -> None: heappush(self.lo,","your data structure here. \"\"\" self.hi = [] self.lo = [] def addNum(self,","heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float:","max heap and min heap def __init__(self): \"\"\" initialize your data structure here.","\"\"\" initialize your data structure here. \"\"\" self.hi = [] self.lo = []","None: heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self) ->","[] self.lo = [] def addNum(self, num: int) -> None: heappush(self.lo, -heappushpop(self.hi, num))","import * class MedianFinder: # max heap and min heap def __init__(self): \"\"\"","MedianFinder: # max heap and min heap def __init__(self): \"\"\" initialize your data","# max heap and min heap def __init__(self): \"\"\" initialize your data structure","while len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float: if len(self.hi) >","= [] def addNum(self, num: int) -> None: heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo)","data stream hard \"\"\" from heapq import * class MedianFinder: # max heap","len(self.hi) == len(self.lo): return (self.hi[0] - self.lo[0]) / 2.0 sol = MedianFinder() sol.addNum(1)","> len(self.lo): return self.hi[0] if len(self.hi) == len(self.lo): return (self.hi[0] - self.lo[0]) /","self.lo = [] def addNum(self, num: int) -> None: heappush(self.lo, -heappushpop(self.hi, num)) while","return (self.hi[0] - self.lo[0]) / 2.0 sol = MedianFinder() sol.addNum(1) print(sol.findMedian()) sol.addNum(2) print(sol.findMedian())","from heapq import * class MedianFinder: # max heap and min heap def","heapq import * class MedianFinder: # max heap and min heap def __init__(self):","if len(self.hi) == len(self.lo): return (self.hi[0] - self.lo[0]) / 2.0 sol = MedianFinder()","-heappop(self.lo)) def findMedian(self) -> float: if len(self.hi) > len(self.lo): return self.hi[0] if len(self.hi)","int) -> None: heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo)) def","\"\"\" self.hi = [] self.lo = [] def addNum(self, num: int) -> None:","def findMedian(self) -> float: if len(self.hi) > len(self.lo): return self.hi[0] if len(self.hi) ==","float: if len(self.hi) > len(self.lo): return self.hi[0] if len(self.hi) == len(self.lo): return (self.hi[0]","== len(self.lo): return (self.hi[0] - self.lo[0]) / 2.0 sol = MedianFinder() sol.addNum(1) print(sol.findMedian())","def __init__(self): \"\"\" initialize your data structure here. \"\"\" self.hi = [] self.lo","median from data stream hard \"\"\" from heapq import * class MedianFinder: #","-> None: heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self)","= [] self.lo = [] def addNum(self, num: int) -> None: heappush(self.lo, -heappushpop(self.hi,","initialize your data structure here. \"\"\" self.hi = [] self.lo = [] def","min heap def __init__(self): \"\"\" initialize your data structure here. \"\"\" self.hi =","-heappushpop(self.hi, num)) while len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float: if","len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float: if len(self.hi) > len(self.lo):","find median from data stream hard \"\"\" from heapq import * class MedianFinder:","* class MedianFinder: # max heap and min heap def __init__(self): \"\"\" initialize","__init__(self): \"\"\" initialize your data structure here. \"\"\" self.hi = [] self.lo =","len(self.lo): return self.hi[0] if len(self.hi) == len(self.lo): return (self.hi[0] - self.lo[0]) / 2.0","[] def addNum(self, num: int) -> None: heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo) >","addNum(self, num: int) -> None: heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo) > len(self.hi): heappush(self.hi,","\"\"\" 295 find median from data stream hard \"\"\" from heapq import *","hard \"\"\" from heapq import * class MedianFinder: # max heap and min","class MedianFinder: # max heap and min heap def __init__(self): \"\"\" initialize your","return self.hi[0] if len(self.hi) == len(self.lo): return (self.hi[0] - self.lo[0]) / 2.0 sol","findMedian(self) -> float: if len(self.hi) > len(self.lo): return self.hi[0] if len(self.hi) == len(self.lo):","len(self.hi) > len(self.lo): return self.hi[0] if len(self.hi) == len(self.lo): return (self.hi[0] - self.lo[0])","heap def __init__(self): \"\"\" initialize your data structure here. \"\"\" self.hi = []","num)) while len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float: if len(self.hi)","def addNum(self, num: int) -> None: heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo) > len(self.hi):","self.hi[0] if len(self.hi) == len(self.lo): return (self.hi[0] - self.lo[0]) / 2.0 sol =","-> float: if len(self.hi) > len(self.lo): return self.hi[0] if len(self.hi) == len(self.lo): return","here. \"\"\" self.hi = [] self.lo = [] def addNum(self, num: int) ->","len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float: if len(self.hi) > len(self.lo): return self.hi[0]","\"\"\" from heapq import * class MedianFinder: # max heap and min heap","> len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float: if len(self.hi) > len(self.lo): return","if len(self.hi) > len(self.lo): return self.hi[0] if len(self.hi) == len(self.lo): return (self.hi[0] -","from data stream hard \"\"\" from heapq import * class MedianFinder: # max","stream hard \"\"\" from heapq import * class MedianFinder: # max heap and","data structure here. \"\"\" self.hi = [] self.lo = [] def addNum(self, num:","and min heap def __init__(self): \"\"\" initialize your data structure here. \"\"\" self.hi"],"string":"[\n \"structure here. \\\"\\\"\\\" self.hi = [] self.lo = [] def addNum(self, num: int)\",\n \"heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float: if len(self.hi) > len(self.lo): return self.hi[0] if\",\n \"295 find median from data stream hard \\\"\\\"\\\" from heapq import * class\",\n \"len(self.lo): return (self.hi[0] - self.lo[0]) / 2.0 sol = MedianFinder() sol.addNum(1) print(sol.findMedian()) sol.addNum(2)\",\n \"heap and min heap def __init__(self): \\\"\\\"\\\" initialize your data structure here. \\\"\\\"\\\"\",\n \"num: int) -> None: heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo))\",\n \"self.hi = [] self.lo = [] def addNum(self, num: int) -> None: heappush(self.lo,\",\n \"your data structure here. \\\"\\\"\\\" self.hi = [] self.lo = [] def addNum(self,\",\n \"heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float:\",\n \"max heap and min heap def __init__(self): \\\"\\\"\\\" initialize your data structure here.\",\n \"\\\"\\\"\\\" initialize your data structure here. \\\"\\\"\\\" self.hi = [] self.lo = []\",\n \"None: heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self) ->\",\n \"[] self.lo = [] def addNum(self, num: int) -> None: heappush(self.lo, -heappushpop(self.hi, num))\",\n \"import * class MedianFinder: # max heap and min heap def __init__(self): \\\"\\\"\\\"\",\n \"MedianFinder: # max heap and min heap def __init__(self): \\\"\\\"\\\" initialize your data\",\n \"# max heap and min heap def __init__(self): \\\"\\\"\\\" initialize your data structure\",\n \"while len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float: if len(self.hi) >\",\n \"= [] def addNum(self, num: int) -> None: heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo)\",\n \"data stream hard \\\"\\\"\\\" from heapq import * class MedianFinder: # max heap\",\n \"len(self.hi) == len(self.lo): return (self.hi[0] - self.lo[0]) / 2.0 sol = MedianFinder() sol.addNum(1)\",\n \"> len(self.lo): return self.hi[0] if len(self.hi) == len(self.lo): return (self.hi[0] - self.lo[0]) /\",\n \"self.lo = [] def addNum(self, num: int) -> None: heappush(self.lo, -heappushpop(self.hi, num)) while\",\n \"return (self.hi[0] - self.lo[0]) / 2.0 sol = MedianFinder() sol.addNum(1) print(sol.findMedian()) sol.addNum(2) print(sol.findMedian())\",\n \"from heapq import * class MedianFinder: # max heap and min heap def\",\n \"heapq import * class MedianFinder: # max heap and min heap def __init__(self):\",\n \"if len(self.hi) == len(self.lo): return (self.hi[0] - self.lo[0]) / 2.0 sol = MedianFinder()\",\n \"-heappop(self.lo)) def findMedian(self) -> float: if len(self.hi) > len(self.lo): return self.hi[0] if len(self.hi)\",\n \"int) -> None: heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo)) def\",\n \"\\\"\\\"\\\" self.hi = [] self.lo = [] def addNum(self, num: int) -> None:\",\n \"def findMedian(self) -> float: if len(self.hi) > len(self.lo): return self.hi[0] if len(self.hi) ==\",\n \"float: if len(self.hi) > len(self.lo): return self.hi[0] if len(self.hi) == len(self.lo): return (self.hi[0]\",\n \"== len(self.lo): return (self.hi[0] - self.lo[0]) / 2.0 sol = MedianFinder() sol.addNum(1) print(sol.findMedian())\",\n \"def __init__(self): \\\"\\\"\\\" initialize your data structure here. \\\"\\\"\\\" self.hi = [] self.lo\",\n \"median from data stream hard \\\"\\\"\\\" from heapq import * class MedianFinder: #\",\n \"-> None: heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self)\",\n \"= [] self.lo = [] def addNum(self, num: int) -> None: heappush(self.lo, -heappushpop(self.hi,\",\n \"initialize your data structure here. \\\"\\\"\\\" self.hi = [] self.lo = [] def\",\n \"min heap def __init__(self): \\\"\\\"\\\" initialize your data structure here. \\\"\\\"\\\" self.hi =\",\n \"-heappushpop(self.hi, num)) while len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float: if\",\n \"len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float: if len(self.hi) > len(self.lo):\",\n \"find median from data stream hard \\\"\\\"\\\" from heapq import * class MedianFinder:\",\n \"* class MedianFinder: # max heap and min heap def __init__(self): \\\"\\\"\\\" initialize\",\n \"__init__(self): \\\"\\\"\\\" initialize your data structure here. \\\"\\\"\\\" self.hi = [] self.lo =\",\n \"len(self.lo): return self.hi[0] if len(self.hi) == len(self.lo): return (self.hi[0] - self.lo[0]) / 2.0\",\n \"[] def addNum(self, num: int) -> None: heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo) >\",\n \"addNum(self, num: int) -> None: heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo) > len(self.hi): heappush(self.hi,\",\n \"\\\"\\\"\\\" 295 find median from data stream hard \\\"\\\"\\\" from heapq import *\",\n \"hard \\\"\\\"\\\" from heapq import * class MedianFinder: # max heap and min\",\n \"class MedianFinder: # max heap and min heap def __init__(self): \\\"\\\"\\\" initialize your\",\n \"return self.hi[0] if len(self.hi) == len(self.lo): return (self.hi[0] - self.lo[0]) / 2.0 sol\",\n \"findMedian(self) -> float: if len(self.hi) > len(self.lo): return self.hi[0] if len(self.hi) == len(self.lo):\",\n \"len(self.hi) > len(self.lo): return self.hi[0] if len(self.hi) == len(self.lo): return (self.hi[0] - self.lo[0])\",\n \"heap def __init__(self): \\\"\\\"\\\" initialize your data structure here. \\\"\\\"\\\" self.hi = []\",\n \"num)) while len(self.lo) > len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float: if len(self.hi)\",\n \"def addNum(self, num: int) -> None: heappush(self.lo, -heappushpop(self.hi, num)) while len(self.lo) > len(self.hi):\",\n \"self.hi[0] if len(self.hi) == len(self.lo): return (self.hi[0] - self.lo[0]) / 2.0 sol =\",\n \"-> float: if len(self.hi) > len(self.lo): return self.hi[0] if len(self.hi) == len(self.lo): return\",\n \"here. \\\"\\\"\\\" self.hi = [] self.lo = [] def addNum(self, num: int) ->\",\n \"len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float: if len(self.hi) > len(self.lo): return self.hi[0]\",\n \"\\\"\\\"\\\" from heapq import * class MedianFinder: # max heap and min heap\",\n \"> len(self.hi): heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float: if len(self.hi) > len(self.lo): return\",\n \"if len(self.hi) > len(self.lo): return self.hi[0] if len(self.hi) == len(self.lo): return (self.hi[0] -\",\n \"from data stream hard \\\"\\\"\\\" from heapq import * class MedianFinder: # max\",\n \"stream hard \\\"\\\"\\\" from heapq import * class MedianFinder: # max heap and\",\n \"data structure here. \\\"\\\"\\\" self.hi = [] self.lo = [] def addNum(self, num:\",\n \"and min heap def __init__(self): \\\"\\\"\\\" initialize your data structure here. \\\"\\\"\\\" self.hi\"\n]","isConversational":false}}},{"rowIdx":1977,"cells":{"ngram":{"kind":"list like","value":["1.0) ball3 = world.addSphere(0.1499, 0.8, \"steel\") ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8,","= world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6,","0.8) pin1.setAppearance(\"1,0,0,0.3\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\"0,1,0,0.3\") pin2.setPosition(0.3, 0.0,","world.setTimeStep(0.001) world.setMaterialPairProp(\"steel\", \"steel\", 0.1, 1.0, 0.0) pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\"1,0,0,0.3\") pin1.setPosition(0.0, 0.0,","0.03, 0.4, -0.8, -0.03, 0.4, -0.8, 0.03, -0.4, 0.8, -0.03, -0.4, 0.8]) jointVelocityTarget","6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1,","as raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/activation.raisim\") world = raisim.World() ground","\"steel\") ball1.setPosition(0, 0.0, 1.0) ball2 = world.addSphere(0.1499, 0.8, \"steel\") ball2.setPosition(0.3, 0.0, 1.0) ball3","box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0,","0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2,","0.0, 1.0) ball2 = world.addSphere(0.1499, 0.8, \"steel\") ball2.setPosition(0.3, 0.0, 1.0) ball3 = world.addSphere(0.1499,","0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 =","ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0,","0, np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3), 2.0, 200)","0, np.zeros(3), ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0, np.zeros(3), 2.0)","1.0, 0.0) pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\"1,0,0,0.3\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 =","\"steel\") ball2.setPosition(0.3, 0.0, 1.0) ball3 = world.addSphere(0.1499, 0.8, \"steel\") ball3.setPosition(0.6, 0.0, 1.0) ball4","3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\"1,0,0,0.3\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 =","100.0 jointDgain = np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\"anymalC\") jointNominalConfig[0]","world.addSphere(0.1, 0.8) pin4.setAppearance(\"1,0,0,0.3\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0,","\"steel\", 0.1, 1.0, 0.0) pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\"1,0,0,0.3\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC)","pin4.setAppearance(\"1,0,0,0.3\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC)","= -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\"anymalB\") ball1 = world.addSphere(0.1498, 0.8, \"steel\")","ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\"steel\", \"steel\", 0.1, 1.0, 0.0) pin1 = world.addSphere(0.1, 0.8)","2.0) wire5 = world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6","pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\"1,0,0,0.3\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1,","import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/activation.raisim\") world = raisim.World() ground = world.addGround()","ball4, 0, np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3), 2.0,","2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0, np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5, 0, np.zeros(3),","anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\"anymalB\") ball1 = world.addSphere(0.1498, 0.8, \"steel\") ball1.setPosition(0, 0.0,","world.addSphere(0.1, 0.8) pin1.setAppearance(\"1,0,0,0.3\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\"0,1,0,0.3\") pin2.setPosition(0.3,","= world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0, 4.54, 1.0, 0.0, 0.0, 0.0, 0.03, 0.4,","3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\"0,0,1,0.3\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 =","os import numpy as np import raisimpy as raisim import math import time","= world.addSphere(0.1, 0.8) pin4.setAppearance(\"1,0,0,0.3\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9,","world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0, np.zeros(3),","world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0, 4.54, 1.0, 0.0, 0.0, 0.0,","2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0,","0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) * 100.0 jointDgain = np.ones(anymalC.getDOF()) *","\"steel\") ball4.setPosition(2.9, 0.0, 3.0) box = world.addBox(.1, .1, .1, 1) box.setPosition(0.9, 0.0, 4.2)","= world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\"steel\", \"steel\", 0.1, 1.0, 0.0) pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\"1,0,0,0.3\")","world.addSphere(0.1499, 0.8, \"steel\") ball2.setPosition(0.3, 0.0, 1.0) ball3 = world.addSphere(0.1499, 0.8, \"steel\") ball3.setPosition(0.6, 0.0,","pin3.setAppearance(\"0,0,1,0.3\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\"1,0,0,0.3\") pin4.setPosition(0.9, 0.0, 3.0)","0.03, -0.4, 0.8, -0.03, -0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) *","anymalB.setName(\"anymalB\") ball1 = world.addSphere(0.1498, 0.8, \"steel\") ball1.setPosition(0, 0.0, 1.0) ball2 = world.addSphere(0.1499, 0.8,","ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0,","world.addSphere(0.1, 0.8) pin3.setAppearance(\"0,0,1,0.3\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\"1,0,0,0.3\") pin4.setPosition(0.9,","jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) * 100.0 jointDgain = np.ones(anymalC.getDOF()) * 1.0","anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080) for i in range(500000):","pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\"1,0,0,0.3\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8)","0.0) pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\"1,0,0,0.3\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1,","* 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\"anymalC\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain,","0.8, \"steel\") ball2.setPosition(0.3, 0.0, 1.0) ball3 = world.addSphere(0.1499, 0.8, \"steel\") ball3.setPosition(0.6, 0.0, 1.0)","world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0, np.zeros(3),","= world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7,","math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/activation.raisim\") world = raisim.World() ground = world.addGround() world.setTimeStep(0.001)","-0.03, -0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) * 100.0 jointDgain =","0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 =","ball3 = world.addSphere(0.1499, 0.8, \"steel\") ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8, \"steel\")","= raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\"steel\", \"steel\", 0.1, 1.0, 0.0) pin1 =","anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal_c/urdf/anymal.urdf\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig =","0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file =","world.addSphere(0.1499, 0.8, \"steel\") ball4.setPosition(2.9, 0.0, 3.0) box = world.addBox(.1, .1, .1, 1) box.setPosition(0.9,","pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file","np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\"anymalC\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig)","0, np.zeros(3), ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0, np.zeros(3), 2.0)","0, np.zeros(3), anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080) for i","1.0, 0.0, 0.0, 0.0, 0.03, 0.4, -0.8, -0.03, 0.4, -0.8, 0.03, -0.4, 0.8,","= raisim.RaisimServer(world) server.launchServer(8080) for i in range(500000): time.sleep(0.001) server.integrateWorldThreadSafe() if i == 5000:","import os import numpy as np import raisimpy as raisim import math import","os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal/urdf/anymal.urdf\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal_c/urdf/anymal.urdf\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB =","raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/activation.raisim\") world = raisim.World() ground =","anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0, 4.54, 1.0, 0.0,","ball4.setPosition(2.9, 0.0, 3.0) box = world.addBox(.1, .1, .1, 1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1,","anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\"anymalC\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\"anymalB\") ball1","time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/activation.raisim\") world = raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\"steel\", \"steel\",","-0.4, 0.8, -0.03, -0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) * 100.0","wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310) server =","= world.addSphere(0.1499, 0.8, \"steel\") ball2.setPosition(0.3, 0.0, 1.0) ball3 = world.addSphere(0.1499, 0.8, \"steel\") ball3.setPosition(0.6,","0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal/urdf/anymal.urdf\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal_c/urdf/anymal.urdf\"","= world.addSphere(0.1498, 0.8, \"steel\") ball1.setPosition(0, 0.0, 1.0) ball2 = world.addSphere(0.1499, 0.8, \"steel\") ball2.setPosition(0.3,","1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\"anymalC\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain)","pin1.setAppearance(\"1,0,0,0.3\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\"0,1,0,0.3\") pin2.setPosition(0.3, 0.0, 3.0)","world.addBox(.1, .1, .1, 1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0, np.zeros(3),","np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0, np.zeros(3), 2.0)","3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\"0,1,0,0.3\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 =","anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0, 4.54, 1.0, 0.0, 0.0, 0.0, 0.03,","0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0, np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5,","anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\"anymalC\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget)","* 100.0 jointDgain = np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\"anymalC\")","1.0) ball2 = world.addSphere(0.1499, 0.8, \"steel\") ball2.setPosition(0.3, 0.0, 1.0) ball3 = world.addSphere(0.1499, 0.8,","wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080) for i in range(500000): time.sleep(0.001) server.integrateWorldThreadSafe() if i","0.8) pin4.setAppearance(\"1,0,0,0.3\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0)","0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\"0,0,1,0.3\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4","np.ones(anymalC.getDOF()) * 100.0 jointDgain = np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget)","\"/../../rsc/activation.raisim\") world = raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\"steel\", \"steel\", 0.1, 1.0, 0.0)","0.0, 3.0) box = world.addBox(.1, .1, .1, 1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0,","raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\"steel\", \"steel\", 0.1, 1.0, 0.0) pin1 = world.addSphere(0.1,","np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0, np.zeros(3), 2.0,","jointVelocityTarget) anymalB.setName(\"anymalB\") ball1 = world.addSphere(0.1498, 0.8, \"steel\") ball1.setPosition(0, 0.0, 1.0) ball2 = world.addSphere(0.1499,","world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal/urdf/anymal.urdf\" anymalC_urdf_file =","ball4 = world.addSphere(0.1499, 0.8, \"steel\") ball4.setPosition(2.9, 0.0, 3.0) box = world.addBox(.1, .1, .1,","np.zeros(3), box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0, np.zeros(3), anymalC,","world.addSphere(0.1, 0.8) pin2.setAppearance(\"0,1,0,0.3\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\"0,0,1,0.3\") pin3.setPosition(0.6,","as np import raisimpy as raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/activation.raisim\")","np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) * 100.0 jointDgain = np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain,","ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8, \"steel\") ball4.setPosition(2.9, 0.0, 3.0) box =","0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal/urdf/anymal.urdf\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__))","0, np.zeros(3), 2.0) wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080) for i in range(500000): time.sleep(0.001)","pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal/urdf/anymal.urdf\"","ball1 = world.addSphere(0.1498, 0.8, \"steel\") ball1.setPosition(0, 0.0, 1.0) ball2 = world.addSphere(0.1499, 0.8, \"steel\")","= np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) * 100.0 jointDgain = np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig)","0.0, 1.0) ball3 = world.addSphere(0.1499, 0.8, \"steel\") ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499,","pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\"0,0,1,0.3\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC)","jointNominalConfig = np.array([-3, 0, 4.54, 1.0, 0.0, 0.0, 0.0, 0.03, 0.4, -0.8, -0.03,","= np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\"anymalC\") jointNominalConfig[0] = -4","raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/activation.raisim\") world = raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\"steel\", \"steel\", 0.1,","pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\"1,0,0,0.3\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8)","box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3),","0.8, \"steel\") ball1.setPosition(0, 0.0, 1.0) ball2 = world.addSphere(0.1499, 0.8, \"steel\") ball2.setPosition(0.3, 0.0, 1.0)","pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3.,","world.setMaterialPairProp(\"steel\", \"steel\", 0.1, 1.0, 0.0) pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\"1,0,0,0.3\") pin1.setPosition(0.0, 0.0, 3.0)","pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7","-0.8, -0.03, 0.4, -0.8, 0.03, -0.4, 0.8, -0.03, -0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()])","= np.ones(anymalC.getDOF()) * 100.0 jointDgain = np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig,","0.0, 0.0, 0.0, 0.03, 0.4, -0.8, -0.03, 0.4, -0.8, 0.03, -0.4, 0.8, -0.03,","np.zeros(3), ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0, np.zeros(3), 2.0) wire5","wire5 = world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 =","import numpy as np import raisimpy as raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__))","np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3,","1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310) server","0.0, 0.0, 0.03, 0.4, -0.8, -0.03, 0.4, -0.8, 0.03, -0.4, 0.8, -0.03, -0.4,","-0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) * 100.0 jointDgain = np.ones(anymalC.getDOF())","4.54, 1.0, 0.0, 0.0, 0.0, 0.03, 0.4, -0.8, -0.03, 0.4, -0.8, 0.03, -0.4,","= os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal/urdf/anymal.urdf\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal_c/urdf/anymal.urdf\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB","pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal/urdf/anymal.urdf\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) +","pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6","0.8, \"steel\") ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8, \"steel\") ball4.setPosition(2.9, 0.0, 3.0)","0.8, \"steel\") ball4.setPosition(2.9, 0.0, 3.0) box = world.addBox(.1, .1, .1, 1) box.setPosition(0.9, 0.0,","0.8, -0.03, -0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) * 100.0 jointDgain","jointPgain = np.ones(anymalC.getDOF()) * 100.0 jointDgain = np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain)","0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8, \"steel\") ball4.setPosition(2.9, 0.0, 3.0) box = world.addBox(.1,","= world.addSphere(0.1499, 0.8, \"steel\") ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8, \"steel\") ball4.setPosition(2.9,","pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8)","world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0, 4.54, 1.0, 0.0, 0.0, 0.0, 0.03, 0.4, -0.8,","anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\"anymalC\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig,","ball2.setPosition(0.3, 0.0, 1.0) ball3 = world.addSphere(0.1499, 0.8, \"steel\") ball3.setPosition(0.6, 0.0, 1.0) ball4 =","1.0) ball4 = world.addSphere(0.1499, 0.8, \"steel\") ball4.setPosition(2.9, 0.0, 3.0) box = world.addBox(.1, .1,","wire7 = world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310) server = raisim.RaisimServer(world)","= world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0, 4.54, 1.0, 0.0, 0.0,","pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4.,","world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0)","world = raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\"steel\", \"steel\", 0.1, 1.0, 0.0) pin1","0.8) pin2.setAppearance(\"0,1,0,0.3\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\"0,0,1,0.3\") pin3.setPosition(0.6, 0.0,","world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0)","0, np.zeros(3), ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0, np.zeros(3), 2.0)","2.0) wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080) for i in range(500000): time.sleep(0.001) server.integrateWorldThreadSafe() if","world.addSphere(0.1498, 0.8, \"steel\") ball1.setPosition(0, 0.0, 1.0) ball2 = world.addSphere(0.1499, 0.8, \"steel\") ball2.setPosition(0.3, 0.0,","0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3),","os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal_c/urdf/anymal.urdf\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0,","0.4, -0.8, 0.03, -0.4, 0.8, -0.03, -0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain =","+ \"/../../rsc/anymal/urdf/anymal.urdf\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal_c/urdf/anymal.urdf\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file)","0.8) pin3.setAppearance(\"0,0,1,0.3\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\"1,0,0,0.3\") pin4.setPosition(0.9, 0.0,","0, np.zeros(3), box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0, np.zeros(3),","jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\"anymalB\") ball1 = world.addSphere(0.1498, 0.8,","0.1, 1.0, 0.0) pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\"1,0,0,0.3\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2","= world.addSphere(0.1, 0.8) pin3.setAppearance(\"0,0,1,0.3\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\"1,0,0,0.3\")","np import raisimpy as raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/activation.raisim\") world","4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0,","= world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080)","jointDgain = np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\"anymalC\") jointNominalConfig[0] =","raisimpy as raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/activation.raisim\") world = raisim.World()","+ \"/../../rsc/activation.raisim\") world = raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\"steel\", \"steel\", 0.1, 1.0,","np.zeros(3), ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4,","jointVelocityTarget) anymalC.setName(\"anymalC\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\"anymalB\") ball1 =","2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0,","200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH)","\"/../../rsc/anymal/urdf/anymal.urdf\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal_c/urdf/anymal.urdf\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig","anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\"anymalB\") ball1 = world.addSphere(0.1498, 0.8, \"steel\") ball1.setPosition(0, 0.0, 1.0)","0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0, np.zeros(3),","= world.addBox(.1, .1, .1, 1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0,","pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8)","np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4,","-4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\"anymalB\") ball1 = world.addSphere(0.1498, 0.8, \"steel\") ball1.setPosition(0,","= world.addSphere(0.1, 0.8) pin1.setAppearance(\"1,0,0,0.3\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\"0,1,0,0.3\")","np.zeros(3), ball4, 0, np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3),","= world.addSphere(0.1499, 0.8, \"steel\") ball4.setPosition(2.9, 0.0, 3.0) box = world.addBox(.1, .1, .1, 1)","pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\"0,0,1,0.3\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1,","= world.addSphere(0.1, 0.8) pin2.setAppearance(\"0,1,0,0.3\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\"0,0,1,0.3\")","<reponame>mstoelzle/raisimLib import os import numpy as np import raisimpy as raisim import math","import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/activation.raisim\") world = raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\"steel\",","pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\"0,1,0,0.3\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1,","= world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0,","np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0, np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5, 0,","anymalC, 0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0,","\"/../../rsc/anymal_c/urdf/anymal.urdf\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0, 4.54, 1.0,","= np.array([-3, 0, 4.54, 1.0, 0.0, 0.0, 0.0, 0.03, 0.4, -0.8, -0.03, 0.4,","7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal/urdf/anymal.urdf\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal_c/urdf/anymal.urdf\" anymalC","pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) +","= world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0,","ball1.setPosition(0, 0.0, 1.0) ball2 = world.addSphere(0.1499, 0.8, \"steel\") ball2.setPosition(0.3, 0.0, 1.0) ball3 =","world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080) for","0.4, -0.8, -0.03, 0.4, -0.8, 0.03, -0.4, 0.8, -0.03, -0.4, 0.8]) jointVelocityTarget =","server.launchServer(8080) for i in range(500000): time.sleep(0.001) server.integrateWorldThreadSafe() if i == 5000: world.removeObject(wire7) server.killServer()","0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3),","np.zeros(3), ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3,","pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal/urdf/anymal.urdf\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal_c/urdf/anymal.urdf\" anymalC =","pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\"0,1,0,0.3\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC)","world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0,","-0.8, 0.03, -0.4, 0.8, -0.03, -0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF())","3.0) box = world.addBox(.1, .1, .1, 1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3),","pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\"0,0,1,0.3\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8)","= world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal/urdf/anymal.urdf\" anymalC_urdf_file","world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0,","ball2 = world.addSphere(0.1499, 0.8, \"steel\") ball2.setPosition(0.3, 0.0, 1.0) ball3 = world.addSphere(0.1499, 0.8, \"steel\")","anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal/urdf/anymal.urdf\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal_c/urdf/anymal.urdf\" anymalC = world.addArticulatedSystem(anymalC_urdf_file)","np.zeros(3), anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080) for i in","anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\"anymalB\") ball1 = world.addSphere(0.1498, 0.8, \"steel\") ball1.setPosition(0, 0.0, 1.0) ball2 =","wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7","-0.03, 0.4, -0.8, 0.03, -0.4, 0.8, -0.03, -0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain","world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\"steel\", \"steel\", 0.1, 1.0, 0.0) pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\"1,0,0,0.3\") pin1.setPosition(0.0,","= os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/anymal_c/urdf/anymal.urdf\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3,","jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\"anymalB\") ball1 = world.addSphere(0.1498, 0.8, \"steel\") ball1.setPosition(0, 0.0, 1.0) ball2","np.array([-3, 0, 4.54, 1.0, 0.0, 0.0, 0.0, 0.03, 0.4, -0.8, -0.03, 0.4, -0.8,","import raisimpy as raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \"/../../rsc/activation.raisim\") world =","0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\"0,1,0,0.3\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3","2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310)","world.addSphere(0.1499, 0.8, \"steel\") ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8, \"steel\") ball4.setPosition(2.9, 0.0,","1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0,","np.zeros(3), 2.0) wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080) for i in range(500000): time.sleep(0.001) server.integrateWorldThreadSafe()","0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC)","0, np.zeros(3), ball4, 0, np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5, 0, np.zeros(3), box, 0,","0, 4.54, 1.0, 0.0, 0.0, 0.0, 0.03, 0.4, -0.8, -0.03, 0.4, -0.8, 0.03,","7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__))","numpy as np import raisimpy as raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) +","0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\"1,0,0,0.3\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5","jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\"anymalC\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\"anymalB\")","np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH)","world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0, np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5, 0, np.zeros(3), box,","0, np.zeros(3), anymalC, 0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0, np.zeros(3),","box = world.addBox(.1, .1, .1, 1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1,","anymalC.setName(\"anymalC\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\"anymalB\") ball1 = world.addSphere(0.1498,","pin2.setAppearance(\"0,1,0,0.3\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\"0,0,1,0.3\") pin3.setPosition(0.6, 0.0, 3.0)","wire6 = world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 =","0.0, 0.03, 0.4, -0.8, -0.03, 0.4, -0.8, 0.03, -0.4, 0.8, -0.03, -0.4, 0.8])","raisim.RaisimServer(world) server.launchServer(8080) for i in range(500000): time.sleep(0.001) server.integrateWorldThreadSafe() if i == 5000: world.removeObject(wire7)","pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\"1,0,0,0.3\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC)","0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC)","world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0, np.zeros(3),",".1, 1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2,","3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1,","ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0, np.zeros(3), 2.0) wire5 =","+ \"/../../rsc/anymal_c/urdf/anymal.urdf\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0, 4.54,","server = raisim.RaisimServer(world) server.launchServer(8080) for i in range(500000): time.sleep(0.001) server.integrateWorldThreadSafe() if i ==","2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0, np.zeros(3), 2.0, 1000)","\"steel\") ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8, \"steel\") ball4.setPosition(2.9, 0.0, 3.0) box","pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\"0,1,0,0.3\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8)","0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0, np.zeros(3),",".1, .1, 1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0, np.zeros(3), 2.0)","np.zeros(3), anymalC, 0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0, np.zeros(3), anymalB,"],"string":"[\n \"1.0) ball3 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8,\",\n \"= world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6,\",\n \"0.8) pin1.setAppearance(\\\"1,0,0,0.3\\\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\\\"0,1,0,0.3\\\") pin2.setPosition(0.3, 0.0,\",\n \"world.setTimeStep(0.001) world.setMaterialPairProp(\\\"steel\\\", \\\"steel\\\", 0.1, 1.0, 0.0) pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\\\"1,0,0,0.3\\\") pin1.setPosition(0.0, 0.0,\",\n \"0.03, 0.4, -0.8, -0.03, 0.4, -0.8, 0.03, -0.4, 0.8, -0.03, -0.4, 0.8]) jointVelocityTarget\",\n \"6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1,\",\n \"as raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/activation.raisim\\\") world = raisim.World() ground\",\n \"\\\"steel\\\") ball1.setPosition(0, 0.0, 1.0) ball2 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball2.setPosition(0.3, 0.0, 1.0) ball3\",\n \"box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0,\",\n \"0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2,\",\n \"0.0, 1.0) ball2 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball2.setPosition(0.3, 0.0, 1.0) ball3 = world.addSphere(0.1499,\",\n \"0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 =\",\n \"ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0,\",\n \"0, np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3), 2.0, 200)\",\n \"0, np.zeros(3), ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0, np.zeros(3), 2.0)\",\n \"1.0, 0.0) pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\\\"1,0,0,0.3\\\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 =\",\n \"\\\"steel\\\") ball2.setPosition(0.3, 0.0, 1.0) ball3 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball3.setPosition(0.6, 0.0, 1.0) ball4\",\n \"3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\\\"1,0,0,0.3\\\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 =\",\n \"100.0 jointDgain = np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\\\"anymalC\\\") jointNominalConfig[0]\",\n \"world.addSphere(0.1, 0.8) pin4.setAppearance(\\\"1,0,0,0.3\\\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0,\",\n \"\\\"steel\\\", 0.1, 1.0, 0.0) pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\\\"1,0,0,0.3\\\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC)\",\n \"pin4.setAppearance(\\\"1,0,0,0.3\\\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC)\",\n \"= -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\\\"anymalB\\\") ball1 = world.addSphere(0.1498, 0.8, \\\"steel\\\")\",\n \"ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\\\"steel\\\", \\\"steel\\\", 0.1, 1.0, 0.0) pin1 = world.addSphere(0.1, 0.8)\",\n \"2.0) wire5 = world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6\",\n \"pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\\\"1,0,0,0.3\\\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1,\",\n \"import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/activation.raisim\\\") world = raisim.World() ground = world.addGround()\",\n \"ball4, 0, np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3), 2.0,\",\n \"2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0, np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5, 0, np.zeros(3),\",\n \"anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\\\"anymalB\\\") ball1 = world.addSphere(0.1498, 0.8, \\\"steel\\\") ball1.setPosition(0, 0.0,\",\n \"world.addSphere(0.1, 0.8) pin1.setAppearance(\\\"1,0,0,0.3\\\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\\\"0,1,0,0.3\\\") pin2.setPosition(0.3,\",\n \"= world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0, 4.54, 1.0, 0.0, 0.0, 0.0, 0.03, 0.4,\",\n \"3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\\\"0,0,1,0.3\\\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 =\",\n \"os import numpy as np import raisimpy as raisim import math import time\",\n \"= world.addSphere(0.1, 0.8) pin4.setAppearance(\\\"1,0,0,0.3\\\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9,\",\n \"world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0, np.zeros(3),\",\n \"world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0, 4.54, 1.0, 0.0, 0.0, 0.0,\",\n \"2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0,\",\n \"0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) * 100.0 jointDgain = np.ones(anymalC.getDOF()) *\",\n \"\\\"steel\\\") ball4.setPosition(2.9, 0.0, 3.0) box = world.addBox(.1, .1, .1, 1) box.setPosition(0.9, 0.0, 4.2)\",\n \"= world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\\\"steel\\\", \\\"steel\\\", 0.1, 1.0, 0.0) pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\\\"1,0,0,0.3\\\")\",\n \"world.addSphere(0.1499, 0.8, \\\"steel\\\") ball2.setPosition(0.3, 0.0, 1.0) ball3 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball3.setPosition(0.6, 0.0,\",\n \"pin3.setAppearance(\\\"0,0,1,0.3\\\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\\\"1,0,0,0.3\\\") pin4.setPosition(0.9, 0.0, 3.0)\",\n \"0.03, -0.4, 0.8, -0.03, -0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) *\",\n \"anymalB.setName(\\\"anymalB\\\") ball1 = world.addSphere(0.1498, 0.8, \\\"steel\\\") ball1.setPosition(0, 0.0, 1.0) ball2 = world.addSphere(0.1499, 0.8,\",\n \"ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0,\",\n \"world.addSphere(0.1, 0.8) pin3.setAppearance(\\\"0,0,1,0.3\\\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\\\"1,0,0,0.3\\\") pin4.setPosition(0.9,\",\n \"jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) * 100.0 jointDgain = np.ones(anymalC.getDOF()) * 1.0\",\n \"anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080) for i in range(500000):\",\n \"pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\\\"1,0,0,0.3\\\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8)\",\n \"0.0) pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\\\"1,0,0,0.3\\\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1,\",\n \"* 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\\\"anymalC\\\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain,\",\n \"0.8, \\\"steel\\\") ball2.setPosition(0.3, 0.0, 1.0) ball3 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball3.setPosition(0.6, 0.0, 1.0)\",\n \"world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0, np.zeros(3),\",\n \"= world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7,\",\n \"math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/activation.raisim\\\") world = raisim.World() ground = world.addGround() world.setTimeStep(0.001)\",\n \"-0.03, -0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) * 100.0 jointDgain =\",\n \"0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 =\",\n \"ball3 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8, \\\"steel\\\")\",\n \"= raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\\\"steel\\\", \\\"steel\\\", 0.1, 1.0, 0.0) pin1 =\",\n \"anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal_c/urdf/anymal.urdf\\\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig =\",\n \"0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file =\",\n \"world.addSphere(0.1499, 0.8, \\\"steel\\\") ball4.setPosition(2.9, 0.0, 3.0) box = world.addBox(.1, .1, .1, 1) box.setPosition(0.9,\",\n \"pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file\",\n \"np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\\\"anymalC\\\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig)\",\n \"0, np.zeros(3), ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0, np.zeros(3), 2.0)\",\n \"0, np.zeros(3), anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080) for i\",\n \"1.0, 0.0, 0.0, 0.0, 0.03, 0.4, -0.8, -0.03, 0.4, -0.8, 0.03, -0.4, 0.8,\",\n \"= raisim.RaisimServer(world) server.launchServer(8080) for i in range(500000): time.sleep(0.001) server.integrateWorldThreadSafe() if i == 5000:\",\n \"import os import numpy as np import raisimpy as raisim import math import\",\n \"os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal/urdf/anymal.urdf\\\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal_c/urdf/anymal.urdf\\\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB =\",\n \"raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/activation.raisim\\\") world = raisim.World() ground =\",\n \"anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0, 4.54, 1.0, 0.0,\",\n \"ball4.setPosition(2.9, 0.0, 3.0) box = world.addBox(.1, .1, .1, 1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1,\",\n \"anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\\\"anymalC\\\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\\\"anymalB\\\") ball1\",\n \"time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/activation.raisim\\\") world = raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\\\"steel\\\", \\\"steel\\\",\",\n \"-0.4, 0.8, -0.03, -0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) * 100.0\",\n \"wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310) server =\",\n \"= world.addSphere(0.1499, 0.8, \\\"steel\\\") ball2.setPosition(0.3, 0.0, 1.0) ball3 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball3.setPosition(0.6,\",\n \"0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal/urdf/anymal.urdf\\\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal_c/urdf/anymal.urdf\\\"\",\n \"= world.addSphere(0.1498, 0.8, \\\"steel\\\") ball1.setPosition(0, 0.0, 1.0) ball2 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball2.setPosition(0.3,\",\n \"1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\\\"anymalC\\\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain)\",\n \"pin1.setAppearance(\\\"1,0,0,0.3\\\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\\\"0,1,0,0.3\\\") pin2.setPosition(0.3, 0.0, 3.0)\",\n \"world.addBox(.1, .1, .1, 1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0, np.zeros(3),\",\n \"np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0, np.zeros(3), 2.0)\",\n \"3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\\\"0,1,0,0.3\\\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 =\",\n \"anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0, 4.54, 1.0, 0.0, 0.0, 0.0, 0.03,\",\n \"0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0, np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5,\",\n \"anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\\\"anymalC\\\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget)\",\n \"* 100.0 jointDgain = np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\\\"anymalC\\\")\",\n \"1.0) ball2 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball2.setPosition(0.3, 0.0, 1.0) ball3 = world.addSphere(0.1499, 0.8,\",\n \"wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080) for i in range(500000): time.sleep(0.001) server.integrateWorldThreadSafe() if i\",\n \"0.8) pin4.setAppearance(\\\"1,0,0,0.3\\\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0)\",\n \"0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\\\"0,0,1,0.3\\\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4\",\n \"np.ones(anymalC.getDOF()) * 100.0 jointDgain = np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget)\",\n \"\\\"/../../rsc/activation.raisim\\\") world = raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\\\"steel\\\", \\\"steel\\\", 0.1, 1.0, 0.0)\",\n \"0.0, 3.0) box = world.addBox(.1, .1, .1, 1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0,\",\n \"raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\\\"steel\\\", \\\"steel\\\", 0.1, 1.0, 0.0) pin1 = world.addSphere(0.1,\",\n \"np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0, np.zeros(3), 2.0,\",\n \"jointVelocityTarget) anymalB.setName(\\\"anymalB\\\") ball1 = world.addSphere(0.1498, 0.8, \\\"steel\\\") ball1.setPosition(0, 0.0, 1.0) ball2 = world.addSphere(0.1499,\",\n \"world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal/urdf/anymal.urdf\\\" anymalC_urdf_file =\",\n \"ball4 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball4.setPosition(2.9, 0.0, 3.0) box = world.addBox(.1, .1, .1,\",\n \"np.zeros(3), box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0, np.zeros(3), anymalC,\",\n \"world.addSphere(0.1, 0.8) pin2.setAppearance(\\\"0,1,0,0.3\\\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\\\"0,0,1,0.3\\\") pin3.setPosition(0.6,\",\n \"as np import raisimpy as raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/activation.raisim\\\")\",\n \"np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) * 100.0 jointDgain = np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain,\",\n \"ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball4.setPosition(2.9, 0.0, 3.0) box =\",\n \"0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal/urdf/anymal.urdf\\\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__))\",\n \"0, np.zeros(3), 2.0) wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080) for i in range(500000): time.sleep(0.001)\",\n \"pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal/urdf/anymal.urdf\\\"\",\n \"ball1 = world.addSphere(0.1498, 0.8, \\\"steel\\\") ball1.setPosition(0, 0.0, 1.0) ball2 = world.addSphere(0.1499, 0.8, \\\"steel\\\")\",\n \"= np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) * 100.0 jointDgain = np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig)\",\n \"0.0, 1.0) ball3 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499,\",\n \"pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\\\"0,0,1,0.3\\\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC)\",\n \"jointNominalConfig = np.array([-3, 0, 4.54, 1.0, 0.0, 0.0, 0.0, 0.03, 0.4, -0.8, -0.03,\",\n \"= np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\\\"anymalC\\\") jointNominalConfig[0] = -4\",\n \"raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/activation.raisim\\\") world = raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\\\"steel\\\", \\\"steel\\\", 0.1,\",\n \"pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\\\"1,0,0,0.3\\\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8)\",\n \"box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3),\",\n \"0.8, \\\"steel\\\") ball1.setPosition(0, 0.0, 1.0) ball2 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball2.setPosition(0.3, 0.0, 1.0)\",\n \"pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3.,\",\n \"world.setMaterialPairProp(\\\"steel\\\", \\\"steel\\\", 0.1, 1.0, 0.0) pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\\\"1,0,0,0.3\\\") pin1.setPosition(0.0, 0.0, 3.0)\",\n \"pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7\",\n \"-0.8, -0.03, 0.4, -0.8, 0.03, -0.4, 0.8, -0.03, -0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()])\",\n \"= np.ones(anymalC.getDOF()) * 100.0 jointDgain = np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig,\",\n \"0.0, 0.0, 0.0, 0.03, 0.4, -0.8, -0.03, 0.4, -0.8, 0.03, -0.4, 0.8, -0.03,\",\n \"np.zeros(3), ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0, np.zeros(3), 2.0) wire5\",\n \"wire5 = world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 =\",\n \"import numpy as np import raisimpy as raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__))\",\n \"np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3,\",\n \"1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310) server\",\n \"0.0, 0.0, 0.03, 0.4, -0.8, -0.03, 0.4, -0.8, 0.03, -0.4, 0.8, -0.03, -0.4,\",\n \"-0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) * 100.0 jointDgain = np.ones(anymalC.getDOF())\",\n \"4.54, 1.0, 0.0, 0.0, 0.0, 0.03, 0.4, -0.8, -0.03, 0.4, -0.8, 0.03, -0.4,\",\n \"= os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal/urdf/anymal.urdf\\\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal_c/urdf/anymal.urdf\\\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB\",\n \"pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal/urdf/anymal.urdf\\\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) +\",\n \"pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6\",\n \"0.8, \\\"steel\\\") ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball4.setPosition(2.9, 0.0, 3.0)\",\n \"0.8, \\\"steel\\\") ball4.setPosition(2.9, 0.0, 3.0) box = world.addBox(.1, .1, .1, 1) box.setPosition(0.9, 0.0,\",\n \"0.8, -0.03, -0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF()) * 100.0 jointDgain\",\n \"jointPgain = np.ones(anymalC.getDOF()) * 100.0 jointDgain = np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain)\",\n \"0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball4.setPosition(2.9, 0.0, 3.0) box = world.addBox(.1,\",\n \"= world.addSphere(0.1499, 0.8, \\\"steel\\\") ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball4.setPosition(2.9,\",\n \"pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8)\",\n \"world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0, 4.54, 1.0, 0.0, 0.0, 0.0, 0.03, 0.4, -0.8,\",\n \"anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\\\"anymalC\\\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig,\",\n \"ball2.setPosition(0.3, 0.0, 1.0) ball3 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball3.setPosition(0.6, 0.0, 1.0) ball4 =\",\n \"1.0) ball4 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball4.setPosition(2.9, 0.0, 3.0) box = world.addBox(.1, .1,\",\n \"wire7 = world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310) server = raisim.RaisimServer(world)\",\n \"= world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0, 4.54, 1.0, 0.0, 0.0,\",\n \"pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4.,\",\n \"world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0)\",\n \"world = raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\\\"steel\\\", \\\"steel\\\", 0.1, 1.0, 0.0) pin1\",\n \"0.8) pin2.setAppearance(\\\"0,1,0,0.3\\\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\\\"0,0,1,0.3\\\") pin3.setPosition(0.6, 0.0,\",\n \"world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0)\",\n \"0, np.zeros(3), ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0, np.zeros(3), 2.0)\",\n \"2.0) wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080) for i in range(500000): time.sleep(0.001) server.integrateWorldThreadSafe() if\",\n \"world.addSphere(0.1498, 0.8, \\\"steel\\\") ball1.setPosition(0, 0.0, 1.0) ball2 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball2.setPosition(0.3, 0.0,\",\n \"0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3),\",\n \"os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal_c/urdf/anymal.urdf\\\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0,\",\n \"0.4, -0.8, 0.03, -0.4, 0.8, -0.03, -0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain =\",\n \"+ \\\"/../../rsc/anymal/urdf/anymal.urdf\\\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal_c/urdf/anymal.urdf\\\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file)\",\n \"0.8) pin3.setAppearance(\\\"0,0,1,0.3\\\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\\\"1,0,0,0.3\\\") pin4.setPosition(0.9, 0.0,\",\n \"0, np.zeros(3), box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0, np.zeros(3),\",\n \"jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\\\"anymalB\\\") ball1 = world.addSphere(0.1498, 0.8,\",\n \"0.1, 1.0, 0.0) pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\\\"1,0,0,0.3\\\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2\",\n \"= world.addSphere(0.1, 0.8) pin3.setAppearance(\\\"0,0,1,0.3\\\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\\\"1,0,0,0.3\\\")\",\n \"np import raisimpy as raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/activation.raisim\\\") world\",\n \"4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0,\",\n \"= world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080)\",\n \"jointDgain = np.ones(anymalC.getDOF()) * 1.0 anymalC.setGeneralizedCoordinate(jointNominalConfig) anymalC.setPdGains(jointPgain, jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\\\"anymalC\\\") jointNominalConfig[0] =\",\n \"raisimpy as raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/activation.raisim\\\") world = raisim.World()\",\n \"+ \\\"/../../rsc/activation.raisim\\\") world = raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\\\"steel\\\", \\\"steel\\\", 0.1, 1.0,\",\n \"np.zeros(3), ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4,\",\n \"jointVelocityTarget) anymalC.setName(\\\"anymalC\\\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\\\"anymalB\\\") ball1 =\",\n \"2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0,\",\n \"200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH)\",\n \"\\\"/../../rsc/anymal/urdf/anymal.urdf\\\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal_c/urdf/anymal.urdf\\\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig\",\n \"anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\\\"anymalB\\\") ball1 = world.addSphere(0.1498, 0.8, \\\"steel\\\") ball1.setPosition(0, 0.0, 1.0)\",\n \"0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0, np.zeros(3),\",\n \"= world.addBox(.1, .1, .1, 1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0,\",\n \"pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8)\",\n \"np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4,\",\n \"-4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\\\"anymalB\\\") ball1 = world.addSphere(0.1498, 0.8, \\\"steel\\\") ball1.setPosition(0,\",\n \"= world.addSphere(0.1, 0.8) pin1.setAppearance(\\\"1,0,0,0.3\\\") pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\\\"0,1,0,0.3\\\")\",\n \"np.zeros(3), ball4, 0, np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3),\",\n \"= world.addSphere(0.1499, 0.8, \\\"steel\\\") ball4.setPosition(2.9, 0.0, 3.0) box = world.addBox(.1, .1, .1, 1)\",\n \"pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\\\"0,0,1,0.3\\\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1,\",\n \"= world.addSphere(0.1, 0.8) pin2.setAppearance(\\\"0,1,0,0.3\\\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\\\"0,0,1,0.3\\\")\",\n \"<reponame>mstoelzle/raisimLib import os import numpy as np import raisimpy as raisim import math\",\n \"import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/activation.raisim\\\") world = raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\\\"steel\\\",\",\n \"pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\\\"0,1,0,0.3\\\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1,\",\n \"= world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0,\",\n \"np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0, np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5, 0,\",\n \"anymalC, 0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0,\",\n \"\\\"/../../rsc/anymal_c/urdf/anymal.urdf\\\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0, 4.54, 1.0,\",\n \"= np.array([-3, 0, 4.54, 1.0, 0.0, 0.0, 0.0, 0.03, 0.4, -0.8, -0.03, 0.4,\",\n \"7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal/urdf/anymal.urdf\\\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal_c/urdf/anymal.urdf\\\" anymalC\",\n \"pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) +\",\n \"= world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0,\",\n \"ball1.setPosition(0, 0.0, 1.0) ball2 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball2.setPosition(0.3, 0.0, 1.0) ball3 =\",\n \"world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080) for\",\n \"0.4, -0.8, -0.03, 0.4, -0.8, 0.03, -0.4, 0.8, -0.03, -0.4, 0.8]) jointVelocityTarget =\",\n \"server.launchServer(8080) for i in range(500000): time.sleep(0.001) server.integrateWorldThreadSafe() if i == 5000: world.removeObject(wire7) server.killServer()\",\n \"0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3, 0, np.zeros(3),\",\n \"np.zeros(3), ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0, np.zeros(3), ball2, 0, np.zeros(3), 2.0) world.addStiffWire(pin3,\",\n \"pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal/urdf/anymal.urdf\\\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal_c/urdf/anymal.urdf\\\" anymalC =\",\n \"pin1.setPosition(0.0, 0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\\\"0,1,0,0.3\\\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC)\",\n \"world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0,\",\n \"-0.8, 0.03, -0.4, 0.8, -0.03, -0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain = np.ones(anymalC.getDOF())\",\n \"3.0) box = world.addBox(.1, .1, .1, 1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3),\",\n \"pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\\\"0,0,1,0.3\\\") pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8)\",\n \"= world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal/urdf/anymal.urdf\\\" anymalC_urdf_file\",\n \"world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0,\",\n \"ball2 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball2.setPosition(0.3, 0.0, 1.0) ball3 = world.addSphere(0.1499, 0.8, \\\"steel\\\")\",\n \"anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal/urdf/anymal.urdf\\\" anymalC_urdf_file = os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal_c/urdf/anymal.urdf\\\" anymalC = world.addArticulatedSystem(anymalC_urdf_file)\",\n \"np.zeros(3), anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080) for i in\",\n \"anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\\\"anymalB\\\") ball1 = world.addSphere(0.1498, 0.8, \\\"steel\\\") ball1.setPosition(0, 0.0, 1.0) ball2 =\",\n \"wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7\",\n \"-0.03, 0.4, -0.8, 0.03, -0.4, 0.8, -0.03, -0.4, 0.8]) jointVelocityTarget = np.zeros([anymalC.getDOF()]) jointPgain\",\n \"world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp(\\\"steel\\\", \\\"steel\\\", 0.1, 1.0, 0.0) pin1 = world.addSphere(0.1, 0.8) pin1.setAppearance(\\\"1,0,0,0.3\\\") pin1.setPosition(0.0,\",\n \"= os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/anymal_c/urdf/anymal.urdf\\\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3,\",\n \"jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\\\"anymalB\\\") ball1 = world.addSphere(0.1498, 0.8, \\\"steel\\\") ball1.setPosition(0, 0.0, 1.0) ball2\",\n \"np.array([-3, 0, 4.54, 1.0, 0.0, 0.0, 0.0, 0.03, 0.4, -0.8, -0.03, 0.4, -0.8,\",\n \"import raisimpy as raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + \\\"/../../rsc/activation.raisim\\\") world =\",\n \"0.0, 3.0) pin1.setBodyType(raisim.BodyType.STATIC) pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\\\"0,1,0,0.3\\\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3\",\n \"2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0, np.zeros(3), anymalB, 0, np.zeros(3), 2.0) wire7.setTension(310)\",\n \"world.addSphere(0.1499, 0.8, \\\"steel\\\") ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball4.setPosition(2.9, 0.0,\",\n \"1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2, 0,\",\n \"np.zeros(3), 2.0) wire7.setTension(310) server = raisim.RaisimServer(world) server.launchServer(8080) for i in range(500000): time.sleep(0.001) server.integrateWorldThreadSafe()\",\n \"0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1, 0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC)\",\n \"0, np.zeros(3), ball4, 0, np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5, 0, np.zeros(3), box, 0,\",\n \"0, 4.54, 1.0, 0.0, 0.0, 0.0, 0.03, 0.4, -0.8, -0.03, 0.4, -0.8, 0.03,\",\n \"7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC) anymalB_urdf_file = os.path.dirname(os.path.abspath(__file__))\",\n \"numpy as np import raisimpy as raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) +\",\n \"0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\\\"1,0,0,0.3\\\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5\",\n \"jointDgain) anymalC.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalC.setName(\\\"anymalC\\\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\\\"anymalB\\\")\",\n \"np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH)\",\n \"world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0, np.zeros(3), 2.0) wire5 = world.addCompliantWire(pin5, 0, np.zeros(3), box,\",\n \"0, np.zeros(3), anymalC, 0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0, np.zeros(3),\",\n \"box = world.addBox(.1, .1, .1, 1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1,\",\n \"anymalC.setName(\\\"anymalC\\\") jointNominalConfig[0] = -4 anymalB.setGeneralizedCoordinate(jointNominalConfig) anymalB.setPdGains(jointPgain, jointDgain) anymalB.setPdTarget(jointNominalConfig, jointVelocityTarget) anymalB.setName(\\\"anymalB\\\") ball1 = world.addSphere(0.1498,\",\n \"pin2.setAppearance(\\\"0,1,0,0.3\\\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8) pin3.setAppearance(\\\"0,0,1,0.3\\\") pin3.setPosition(0.6, 0.0, 3.0)\",\n \"wire6 = world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 =\",\n \"0.0, 0.03, 0.4, -0.8, -0.03, 0.4, -0.8, 0.03, -0.4, 0.8, -0.03, -0.4, 0.8])\",\n \"raisim.RaisimServer(world) server.launchServer(8080) for i in range(500000): time.sleep(0.001) server.integrateWorldThreadSafe() if i == 5000: world.removeObject(wire7)\",\n \"pin3.setPosition(0.6, 0.0, 3.0) pin3.setBodyType(raisim.BodyType.STATIC) pin4 = world.addSphere(0.1, 0.8) pin4.setAppearance(\\\"1,0,0,0.3\\\") pin4.setPosition(0.9, 0.0, 3.0) pin4.setBodyType(raisim.BodyType.STATIC)\",\n \"0.8) pin6.setPosition(-3., 0.0, 7.0) pin6.setBodyType(raisim.BodyType.STATIC) pin7 = world.addSphere(0.1, 0.8) pin7.setPosition(-4., 0.0, 7.0) pin7.setBodyType(raisim.BodyType.STATIC)\",\n \"world.addStiffWire(pin3, 0, np.zeros(3), ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0, np.zeros(3),\",\n \".1, 1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0, np.zeros(3), 2.0) world.addStiffWire(pin2,\",\n \"3.0) pin4.setBodyType(raisim.BodyType.STATIC) pin5 = world.addSphere(0.1, 0.8) pin5.setPosition(0.9, 0.0, 6.0) pin5.setBodyType(raisim.BodyType.STATIC) pin6 = world.addSphere(0.1,\",\n \"ball3, 0, np.zeros(3), 2.0) world.addStiffWire(pin4, 0, np.zeros(3), ball4, 0, np.zeros(3), 2.0) wire5 =\",\n \"+ \\\"/../../rsc/anymal_c/urdf/anymal.urdf\\\" anymalC = world.addArticulatedSystem(anymalC_urdf_file) anymalB = world.addArticulatedSystem(anymalB_urdf_file) jointNominalConfig = np.array([-3, 0, 4.54,\",\n \"server = raisim.RaisimServer(world) server.launchServer(8080) for i in range(500000): time.sleep(0.001) server.integrateWorldThreadSafe() if i ==\",\n \"2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0, np.zeros(3), 2.0, 1000)\",\n \"\\\"steel\\\") ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8, \\\"steel\\\") ball4.setPosition(2.9, 0.0, 3.0) box\",\n \"pin2 = world.addSphere(0.1, 0.8) pin2.setAppearance(\\\"0,1,0,0.3\\\") pin2.setPosition(0.3, 0.0, 3.0) pin2.setBodyType(raisim.BodyType.STATIC) pin3 = world.addSphere(0.1, 0.8)\",\n \"0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6, 0, np.zeros(3), anymalC, 0, np.zeros(3),\",\n \".1, .1, 1) box.setPosition(0.9, 0.0, 4.2) world.addStiffWire(pin1, 0, np.zeros(3), ball1, 0, np.zeros(3), 2.0)\",\n \"np.zeros(3), anymalC, 0, np.zeros(3), 2.0, 1000) wire6.setStretchType(raisim.StretchType.BOTH) wire7 = world.addCustomWire(pin7, 0, np.zeros(3), anymalB,\"\n]","isConversational":false}}},{"rowIdx":1978,"cells":{"ngram":{"kind":"list like","value":["raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\"Failed to attach volume %(connection_info)s \" \"to","mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info = vol['connection_info'] volume_driver = self._get_volume_driver(connection_info)","qos specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev =","dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus == constants.CTRL_TYPE_IDE:","VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec))","instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping","super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs)","Unless required by applicable law or agreed to in writing, software # distributed","%s\") raise exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if self._is_block_dev: #","constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg =","_LE(\"Failed to attach volume %(connection_info)s \" \"to instance %(instance_name)s. \"), {'connection_info': strutils.mask_dict_password( connection_info),","scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts,","_LW(\"Failed to attach volume %(connection_info)s \" \"to instance %(instance_name)s. \" \"Tries left: %(tries_left)s.\"),","instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\"The %(protocol)s","units. return ( (no_bytes + constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs,","a root helper. conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn","def attach_volumes(self, volumes, instance_name): for vol in volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info):","actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut):","ctrller_path, slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def detach_volume(self, connection_info, instance_name):","Apache License, Version 2.0 (the \"License\"); you may # not use this file","= constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs)","the License. You may obtain # a copy of the License at #","may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","uses normalized IOPS (8 KB increments) # as IOPS allocation units. return (","instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus == constants.CTRL_TYPE_IDE: #","inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return f(inst, connection_info, *args, **kwargs) return inner() return wrapper","detach_volume(self, connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\"Detaching disk %(disk_path)s \" \"from instance: %(instance_name)s\",","get_volume_connector(self): # NOTE(lpetrut): the Windows os-brick connectors # do not use a root","slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\"The %(protocol)s Hyper-V","volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return # Mapping containing virtual disk","= False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst, connection_info,","driver_type not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name): for","reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial]","utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property def _connector(self): if not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count","# We need to tag physical disk resources with the volume # serial","connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count + 1 while tries_left: try: self._attach_volume(connection_info, instance_name,","0 else: # Find the SCSI controller for the vm ctrller_path = self._vmutils.get_vm_scsi_controller(","class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs): self._extra_connector_args","def get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id = connection_info['serial'] err_msg","_(\"Could not find disk path. Volume id: %s\") raise exception.DiskNotFound(err_msg % vol_id) return","the current disk paths for each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping:","_get_disk_res_path(self, disk_path): if self._is_block_dev: # We need the Msvm_DiskDrive resource path as this","specs: ' '%(unsupported_specs)s. ' 'Supported qos specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs})","**kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self, *args, **kwargs): # We synchronize those","with the License. You may obtain # a copy of the License at","used when the disk is attached to an instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path)","disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: # We need","= None self._diskutils = utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property def _connector(self): if not","connection_info['data'].get('qos_specs') or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info)","connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def connect_volume(self, connection_info): return","constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class","# will be used when the disk is attached to an instance. disk_number","from nova.virt import driver from nova.virt.hyperv import constants LOG = logging.getLogger(__name__) CONF =","path and the physical # disk path for each volume serial number. The","import _, _LE, _LI, _LW from nova import utils from nova.virt import driver","containing the current disk paths for each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not","attach_volumes(self, volumes, instance_name): for vol in volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info): mapping","import utils from nova.virt import driver from nova.virt.hyperv import constants LOG = logging.getLogger(__name__)","instance_name, disk_bus) break except Exception as ex: tries_left -= 1 if not tries_left:","if unsupported_specs: msg = (_LW('Got unsupported QoS specs: ' '%(unsupported_specs)s. ' 'Supported qos","= inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return f(inst, connection_info, *args, **kwargs) return inner() return","the IDE controller for the vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching","def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \"Attaching volume: %(connection_info)s to %(instance_name)s\", {'connection_info': strutils.mask_dict_password(connection_info),","operations based on the share path in order to # avoid the situation","We need the Msvm_DiskDrive resource path as this # will be used when","Hyper-V volume driver \" \"does not support QoS. Ignoring QoS specs.\"), dict(protocol=self._protocol)) class","= connection_info['serial'] err_msg = _(\"Could not find disk path. Volume id: %s\") raise","= set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg = (_LW('Got unsupported QoS specs: ' '%(unsupported_specs)s.","total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec:","volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping:","return disk_res_path def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial = connection_info['serial']","use this file except in compliance with the License. You may obtain #","{'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\"Failed","Find the SCSI controller for the vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot =","self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching to the first slot slot = 0 else:","this # will be used when the disk is attached to an instance.","def inner(): return f(inst, connection_info, *args, **kwargs) return inner() return wrapper def _get_export_path(self,","break except Exception as ex: tries_left -= 1 if not tries_left: LOG.exception( _LE(\"Failed","BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.","# Attaching to the first slot slot = 0 else: # Find the","is distributed on an \"AS IS\" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF","and limitations # under the License. \"\"\" Management class for Storage-related functions (attach,","= utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property def _connector(self): if not self._conn: scan_attempts =","first slot slot = 0 else: # Find the SCSI controller for the","{'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev = True _protocol = None","= disk_path return disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod","vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if self._is_block_dev: # We need the Msvm_DiskDrive","**kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False","as IOPS allocation units. return ( (no_bytes + constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE)","implied. See the # License for the specific language governing permissions and limitations","= 'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self,","SCSI controller for the vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return","%(connection_info)s to %(instance_name)s\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus)","ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs): self._extra_connector_args =","attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial = connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path'])","path in order to # avoid the situation when a SMB share is","\"from %(instance_name)s\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info)","self._default_root_device = 'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def","multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn def connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol","super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args =","use a root helper. conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return","@utils.synchronized(export_path) def inner(): return f(inst, connection_info, *args, **kwargs) return inner() return wrapper def","connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id =","!= actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut): the Windows os-brick connectors #","a SMB share is unmounted while a volume # exported by it is","connector from os_win import utilsfactory from oslo_log import log as logging from oslo_utils","you may # not use this file except in compliance with the License.","ex: tries_left -= 1 if not tries_left: LOG.exception( _LE(\"Failed to attach volume %(connection_info)s","exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name): for vol in volumes: self.attach_volume(vol['connection_info'], instance_name)","by it is about to be attached to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs)","them # during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path,","volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name): LOG.debug(\"Detaching volume: %(connection_info)s \" \"from","# under the License. \"\"\" Management class for Storage-related functions (attach, detach, etc).","def get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v","0) # Attaching to the first slot slot = 0 else: # Find","KIND, either express or implied. See the # License for the specific language","is unmounted while a volume # exported by it is about to be","self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec","= driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for vol in block_mapping: connection_info = vol['connection_info'] disk_serial","if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec) class FCVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol","= self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path']","(_LW('Got unsupported QoS specs: ' '%(unsupported_specs)s. ' 'Supported qos specs: %(supported_qos_specs)s') % {'unsupported_specs':","volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping containing","block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for vol in block_mapping: connection_info =","from oslo_log import log as logging from oslo_utils import strutils import nova.conf from","- 1) // constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if","unsupported_specs: msg = (_LW('Got unsupported QoS specs: ' '%(unsupported_specs)s. ' 'Supported qos specs:","_connector(self): if not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory(","normalized IOPS (8 KB increments) # as IOPS allocation units. return ( (no_bytes","in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count + 1","wrapper(inst, connection_info, *args, **kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return f(inst, connection_info,","Copyright 2012 <NAME> # Copyright 2013 Cloudbase Solutions Srl # All Rights Reserved.","self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id = connection_info['serial'] err_msg = _(\"Could not find disk","file except in compliance with the License. You may obtain # a copy","raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name): for vol in volumes: self.attach_volume(vol['connection_info'],","disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path = disk_path return disk_res_path def attach_volume(self,","%(protocol)s Hyper-V volume driver \" \"does not support QoS. Ignoring QoS specs.\"), dict(protocol=self._protocol))","_get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\') @export_path_synchronized def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs)","set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg = (_LW('Got unsupported QoS specs: ' '%(unsupported_specs)s. '","may not be the right one, # as physical disk paths can get","\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning(","block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for vol in block_mapping: connection_info = vol['connection_info']","about to be attached to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info,","export_path_synchronized(f): def wrapper(inst, connection_info, *args, **kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return","All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the","\"AS IS\" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express","volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {}","when the disk is attached to an instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path","nova.virt import driver from nova.virt.hyperv import constants LOG = logging.getLogger(__name__) CONF = nova.conf.CONF","self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id = connection_info['serial']","slot) def detach_volume(self, connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\"Detaching disk %(disk_path)s \" \"from","vol in mapping: connection_info = vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info):","def _connector(self): if not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn =","@staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized IOPS (8 KB increments) # as","software # distributed under the License is distributed on an \"AS IS\" BASIS,","connection_info = vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info)","= True _protocol = None _extra_connector_args = {} def __init__(self): self._conn = None","1 while tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus) break except Exception as ex: tries_left","conn def connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info =","Volume id: %s\") raise exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to","find disk path. Volume id: %s\") raise exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0]) def","self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type","distributed on an \"AS IS\" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY","# NOTE(lpetrut): the Windows os-brick connectors # do not use a root helper.","_extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst, connection_info, *args, **kwargs): export_path = inst._get_export_path(connection_info)","instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \"Attaching volume: %(connection_info)s","instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count + 1 while tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus)","= dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst, connection_info, *args, **kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path)","the # License for the specific language governing permissions and limitations # under","connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn def connect_volumes(self, block_device_info): mapping =","or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info)","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","to %(instance_name)s\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs","@export_path_synchronized def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self, *args, **kwargs):","driver from nova.virt.hyperv import constants LOG = logging.getLogger(__name__) CONF = nova.conf.CONF class VolumeOps(object):","self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name): for vol in volumes:","as physical disk paths can get swapped after host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping(","self._vmutils = utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(),","controller for the vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path,","You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \"Attaching volume: %(connection_info)s to %(instance_name)s\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver","%(instance_name)s. \"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else:","@staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg = (_LW('Got","disk_bus) break except Exception as ex: tries_left -= 1 if not tries_left: LOG.exception(","msg = (_LW('Got unsupported QoS specs: ' '%(unsupported_specs)s. ' 'Supported qos specs: %(supported_qos_specs)s')","for vol in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count","return # Mapping containing virtual disk resource path and the physical # disk","required by applicable law or agreed to in writing, software # distributed under","def disconnect_volume(self, *args, **kwargs): # We synchronize those operations based on the share","disk_path return disk_res_path def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial =","connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths =","ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type') if driver_type not in","applicable law or agreed to in writing, software # distributed under the License","a volume # exported by it is about to be attached to an","or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec) class FCVolumeDriver(BaseVolumeDriver): _is_block_dev","utilsfactory from oslo_log import log as logging from oslo_utils import strutils import nova.conf","= self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for","LOG.warning( _LW(\"Failed to attach volume %(connection_info)s \" \"to instance %(instance_name)s. \" \"Tries left:","connectors # do not use a root helper. conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip,","self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def detach_volume(self, connection_info,","instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\"Detaching disk %(disk_path)s \" \"from instance: %(instance_name)s\", dict(disk_path=disk_path, instance_name=instance_name))","the specific language governing permissions and limitations # under the License. \"\"\" Management","supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if","the disk is attached to an instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path =","in compliance with the License. You may obtain # a copy of the","device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info):","each volume serial number. The physical path # associated with this resource may","= 0 else: # Find the SCSI controller for the vm ctrller_path =","or agreed to in writing, software # distributed under the License is distributed","connection_info['data']['export'].replace('/', '\\\\') @export_path_synchronized def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self,","BaseVolumeDriver(object): _is_block_dev = True _protocol = None _extra_connector_args = {} def __init__(self): self._conn","set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or","import utilsfactory from oslo_log import log as logging from oslo_utils import strutils import","instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs') or {} if","instance %(instance_name)s. \" \"Tries left: %(tries_left)s.\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left': tries_left})","// constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg","# as IOPS allocation units. return ( (no_bytes + constants.IOPS_BASE_SIZE - 1) //","__init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI:","\" \"Tries left: %(tries_left)s.\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def","IOPS (8 KB increments) # as IOPS allocation units. return ( (no_bytes +","swapped after host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk in vm_disk_mapping.items():","= utilsfactory.get_vmutils() @property def _connector(self): if not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval =","get swapped after host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk in","'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \"Attaching volume:","etc). \"\"\" import time from os_brick.initiator import connector from os_win import utilsfactory from","disk_qos_specs): LOG.info(_LI(\"The %(protocol)s Hyper-V volume driver \" \"does not support QoS. Ignoring QoS","self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if not","while a volume # exported by it is about to be attached to","= driver.block_device_info_get_mapping(block_device_info) for vol in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left","disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name): LOG.debug(\"Detaching volume: %(connection_info)s","instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs') or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self,","self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping containing the current","connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial = connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path,","def detach_volume(self, connection_info, instance_name): LOG.debug(\"Detaching volume: %(connection_info)s \" \"from %(instance_name)s\", {'connection_info': strutils.mask_dict_password( connection_info),","the Windows os-brick connectors # do not use a root helper. conn =","_is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs): self._extra_connector_args = dict(","volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name): LOG.debug(\"Detaching volume: %(connection_info)s \" \"from %(instance_name)s\", {'connection_info': strutils.mask_dict_password(","\"from instance: %(instance_name)s\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if","tries_left -= 1 if not tries_left: LOG.exception( _LE(\"Failed to attach volume %(connection_info)s \"","License is distributed on an \"AS IS\" BASIS, WITHOUT # WARRANTIES OR CONDITIONS","writing, software # distributed under the License is distributed on an \"AS IS\"","Windows os-brick connectors # do not use a root helper. conn = connector.get_connector_properties(","IOPS allocation units. return ( (no_bytes + constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE) @staticmethod","ctrller_path, slot) def detach_volume(self, connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\"Detaching disk %(disk_path)s \"","not tries_left: LOG.exception( _LE(\"Failed to attach volume %(connection_info)s \" \"to instance %(instance_name)s. \"),","will be used when the disk is attached to an instance. disk_number =","instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial = connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot","self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True)","physical # disk path for each volume serial number. The physical path #","not disk_paths: vol_id = connection_info['serial'] err_msg = _(\"Could not find disk path. Volume","CONF = nova.conf.CONF class VolumeOps(object): \"\"\"Management class for Volume-related tasks \"\"\" def __init__(self):","os_brick.initiator import connector from os_win import utilsfactory from oslo_log import log as logging","time from os_brick.initiator import connector from os_win import utilsfactory from oslo_log import log","= nova.conf.CONF class VolumeOps(object): \"\"\"Management class for Volume-related tasks \"\"\" def __init__(self): self._vmutils","Hyper-v uses normalized IOPS (8 KB increments) # as IOPS allocation units. return","need to tag physical disk resources with the volume # serial number, in","instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\"Failed to attach volume %(connection_info)s","live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def","def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus == constants.CTRL_TYPE_IDE: # Find the IDE controller","left: %(tries_left)s.\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info,","export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return f(inst, connection_info, *args, **kwargs) return inner()","share path in order to # avoid the situation when a SMB share","%(connection_info)s \" \"from %(instance_name)s\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info,","conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn def connect_volumes(self, block_device_info):","True _protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver,","disk is attached to an instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number(","serial number, in order to be able to retrieve them # during live","driver \" \"does not support QoS. Ignoring QoS specs.\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev","{'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI):","the volume # serial number, in order to be able to retrieve them","constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type') if driver_type not","_is_block_dev = True _protocol = None _extra_connector_args = {} def __init__(self): self._conn =","self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus == constants.CTRL_TYPE_IDE: # Find","%(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev = True _protocol","connection_info, qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0)","None self._diskutils = utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property def _connector(self): if not self._conn:","%(instance_name)s\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def","= True _protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list)","= CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval,","# as physical disk paths can get swapped after host reboots. vm_disk_mapping =","= int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec) class","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","None _extra_connector_args = {} def __init__(self): self._conn = None self._diskutils = utilsfactory.get_diskutils() self._vmutils","disk resources with the volume # serial number, in order to be able","not actual_disk_mapping: return # Mapping containing virtual disk resource path and the physical","or 0) total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info)","be the right one, # as physical disk paths can get swapped after","<gh_stars>1-10 # Copyright 2012 <NAME> # Copyright 2013 Cloudbase Solutions Srl # All","self._conn def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info):","Ignoring QoS specs.\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_ISCSI def","for vol in volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for","Licensed under the Apache License, Version 2.0 (the \"License\"); you may # not","= self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching to the first slot slot = 0","paths can get swapped after host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial,","%(instance_name)s\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs =","volume serial number. The physical path # associated with this resource may not","disk_path, ctrller_path, slot) def detach_volume(self, connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\"Detaching disk %(disk_path)s","2.0 (the \"License\"); you may # not use this file except in compliance","_protocol = None _extra_connector_args = {} def __init__(self): self._conn = None self._diskutils =","self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return # Mapping containing virtual disk resource path and","bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized IOPS (8 KB increments) # as IOPS allocation","return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if","permissions and limitations # under the License. \"\"\" Management class for Storage-related functions","# Hyper-v uses normalized IOPS (8 KB increments) # as IOPS allocation units.","= disk_path return disk_res_path def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial","License. \"\"\" Management class for Storage-related functions (attach, detach, etc). \"\"\" import time","LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev = True _protocol = None _extra_connector_args = {} def","connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info = vol['connection_info'] volume_driver","disk_res_path def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial = connection_info['serial'] disk_path","# distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT","block_device_info): # Mapping containing the current disk paths for each volume. actual_disk_mapping =","= connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return disk_path_mapping def get_disk_resource_path(self, connection_info):","False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst, connection_info, *args,","{'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self,","(8 KB increments) # as IOPS allocation units. return ( (no_bytes + constants.IOPS_BASE_SIZE","License, Version 2.0 (the \"License\"); you may # not use this file except","connection_info, disk_qos_specs): LOG.info(_LI(\"The %(protocol)s Hyper-V volume driver \" \"does not support QoS. Ignoring","try: self._attach_volume(connection_info, instance_name, disk_bus) break except Exception as ex: tries_left -= 1 if","qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info,","= {} def __init__(self): self._conn = None self._diskutils = utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils()","return self._conn def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self,","SMB share is unmounted while a volume # exported by it is about","SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f): def","connection_info, *args, **kwargs) return inner() return wrapper def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\')","to attach volume %(connection_info)s \" \"to instance %(instance_name)s. \" \"Tries left: %(tries_left)s.\"), {'connection_info':","disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \"Attaching volume: %(connection_info)s to %(instance_name)s\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver =","__init__(self, *args, **kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev","and the physical # disk path for each volume serial number. The physical","after host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk in vm_disk_mapping.items(): actual_disk_path","disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def detach_volume(self, connection_info, instance_name): disk_path =","if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut): the Windows os-brick","raise exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if self._is_block_dev: # We","specs.\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args,","-= 1 if not tries_left: LOG.exception( _LE(\"Failed to attach volume %(connection_info)s \" \"to","def disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self,","strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name,","connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\"Failed to attach","LOG = logging.getLogger(__name__) CONF = nova.conf.CONF class VolumeOps(object): \"\"\"Management class for Volume-related tasks","not support QoS. Ignoring QoS specs.\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol","share is unmounted while a volume # exported by it is about to","total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec) class FCVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol =","{} for vol in block_mapping: connection_info = vol['connection_info'] disk_serial = connection_info['serial'] disk_path =","2013 Cloudbase Solutions Srl # All Rights Reserved. # # Licensed under the","as this # will be used when the disk is attached to an","def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\"The %(protocol)s Hyper-V volume driver \" \"does not support","vol_id = connection_info['serial'] err_msg = _(\"Could not find disk path. Volume id: %s\")","logging.getLogger(__name__) CONF = nova.conf.CONF class VolumeOps(object): \"\"\"Management class for Volume-related tasks \"\"\" def","agreed to in writing, software # distributed under the License is distributed on","_get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type') if driver_type not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return","supported_qos_specs) if unsupported_specs: msg = (_LW('Got unsupported QoS specs: ' '%(unsupported_specs)s. ' 'Supported","= self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: # We need to tag physical disk resources","slot def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\"The %(protocol)s Hyper-V volume driver \" \"does not","' 'Supported qos specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object):","containing virtual disk resource path and the physical # disk path for each","= _(\"Could not find disk path. Volume id: %s\") raise exception.DiskNotFound(err_msg % vol_id)","retrieve them # during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name,","_LI, _LW from nova import utils from nova.virt import driver from nova.virt.hyperv import","from nova import utils from nova.virt import driver from nova.virt.hyperv import constants LOG","f(inst, connection_info, *args, **kwargs) return inner() return wrapper def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/',","**self._extra_connector_args) return self._conn def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def","= self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping containing the","+ constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference(","to the first slot slot = 0 else: # Find the SCSI controller","support QoS. Ignoring QoS specs.\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol =","\"\"\" import time from os_brick.initiator import connector from os_win import utilsfactory from oslo_log","self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name): for vol in volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self,","def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths","return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if self._is_block_dev: # We need the Msvm_DiskDrive resource","tasks \"\"\" def __init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers = {","in volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in","volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping containing the current disk paths for","for each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return # Mapping containing","= utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC:","path # associated with this resource may not be the right one, #","= CONF.hyperv.volume_attach_retry_count + 1 while tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus) break except Exception","volume # exported by it is about to be attached to an instance.","an instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path =","\"\"\" def __init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS:","import strutils import nova.conf from nova import exception from nova.i18n import _, _LE,","nova.conf from nova import exception from nova.i18n import _, _LE, _LI, _LW from","return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized IOPS (8 KB increments)","supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg = (_LW('Got unsupported QoS specs:","self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path = disk_path return disk_res_path def","# Unless required by applicable law or agreed to in writing, software #","ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching to the first slot slot =","else: LOG.warning( _LW(\"Failed to attach volume %(connection_info)s \" \"to instance %(instance_name)s. \" \"Tries","by applicable law or agreed to in writing, software # distributed under the","'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev = True _protocol = None _extra_connector_args =","ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def set_disk_qos_specs(self, connection_info,","driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for vol in block_mapping: connection_info = vol['connection_info'] disk_serial =","under the License is distributed on an \"AS IS\" BASIS, WITHOUT # WARRANTIES","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","attach volume %(connection_info)s \" \"to instance %(instance_name)s. \" \"Tries left: %(tries_left)s.\"), {'connection_info': strutils.mask_dict_password(","connection_info.get('driver_volume_type') if driver_type not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self, volumes,","time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \"Attaching volume: %(connection_info)s to %(instance_name)s\", {'connection_info':","for serial, vm_disk in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'],","'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \"Attaching volume: %(connection_info)s to","disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver =","# serial number, in order to be able to retrieve them # during","LOG.debug(\"Detaching volume: %(connection_info)s \" \"from %(instance_name)s\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver =","based on the share path in order to # avoid the situation when","%(tries_left)s.\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name,","if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self,","return connection_info['data']['export'].replace('/', '\\\\') @export_path_synchronized def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def","**kwargs) return inner() return wrapper def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\') @export_path_synchronized def","strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs') or","the Msvm_DiskDrive resource path as this # will be used when the disk","host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk in vm_disk_mapping.items(): actual_disk_path =","connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name): LOG.debug(\"Detaching volume: %(connection_info)s \"","limitations # under the License. \"\"\" Management class for Storage-related functions (attach, detach,","= CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn","avoid the situation when a SMB share is unmounted while a volume #","disk_res_path = disk_path return disk_res_path def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info)","connection_info), 'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \"Attaching","constants.CTRL_TYPE_IDE: # Find the IDE controller for the vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name,","disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec) class FCVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_FC","can get swapped after host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk","% {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev = True _protocol =","= connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn def connect_volumes(self, block_device_info): mapping","if not disk_paths: vol_id = connection_info['serial'] err_msg = _(\"Could not find disk path.","= self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path = disk_path return disk_res_path","def __init__(self, *args, **kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver):","_attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \"Attaching volume: %(connection_info)s to %(instance_name)s\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name':","disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\"Detaching disk %(disk_path)s \" \"from instance: %(instance_name)s\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name,","# # Licensed under the Apache License, Version 2.0 (the \"License\"); you may","as ex: tries_left -= 1 if not tries_left: LOG.exception( _LE(\"Failed to attach volume","in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name): for vol in","{} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def","resource path and the physical # disk path for each volume serial number.","'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info): #","disk paths can get swapped after host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for","under the License. \"\"\" Management class for Storage-related functions (attach, detach, etc). \"\"\"","== constants.CTRL_TYPE_IDE: # Find the IDE controller for the vm. ctrller_path = self._vmutils.get_vm_ide_controller(","QoS specs.\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self,","= None _extra_connector_args = {} def __init__(self): self._conn = None self._diskutils = utilsfactory.get_diskutils()","except in compliance with the License. You may obtain # a copy of","= logging.getLogger(__name__) CONF = nova.conf.CONF class VolumeOps(object): \"\"\"Management class for Volume-related tasks \"\"\"","self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for vol","@property def _connector(self): if not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn","Copyright 2013 Cloudbase Solutions Srl # All Rights Reserved. # # Licensed under","'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info):","to in writing, software # distributed under the License is distributed on an","\"does not support QoS. Ignoring QoS specs.\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True","\"to instance %(instance_name)s. \"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'],","def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\') @export_path_synchronized def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args,","'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops(","Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the \"License\");","def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if not disk_paths:","path as this # will be used when the disk is attached to","disk paths for each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return #","for the vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot","dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst, connection_info, *args, **kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def","instance: %(instance_name)s\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus","attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self, *args, **kwargs): # We","Srl # All Rights Reserved. # # Licensed under the Apache License, Version","# Copyright 2012 <NAME> # Copyright 2013 Cloudbase Solutions Srl # All Rights","tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus) break except Exception as ex: tries_left -= 1","SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type') if driver_type","' '%(unsupported_specs)s. ' 'Supported qos specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg)","distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT #","tries_left = CONF.hyperv.volume_attach_retry_count + 1 while tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus) break except","self._diskutils = utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property def _connector(self): if not self._conn: scan_attempts","def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec')","self._conn = None self._diskutils = utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property def _connector(self): if","def get_volume_connector(self): # NOTE(lpetrut): the Windows os-brick connectors # do not use a","oslo_utils import strutils import nova.conf from nova import exception from nova.i18n import _,","qos_specs) def disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name): LOG.debug(\"Detaching","exception from nova.i18n import _, _LE, _LI, _LW from nova import utils from","self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs') or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs)","disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id","# not use this file except in compliance with the License. You may","enforce_multipath=True, host=CONF.host) return conn def connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in","= driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info = vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info)","id: %s\") raise exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if self._is_block_dev:","for Volume-related tasks \"\"\" def __init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers","physical path # associated with this resource may not be the right one,","# License for the specific language governing permissions and limitations # under the","vol['connection_info'] disk_serial = connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return disk_path_mapping def","connection_info, instance_name): LOG.debug(\"Detaching volume: %(connection_info)s \" \"from %(instance_name)s\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name})","self._vmutils = utilsfactory.get_vmutils() @property def _connector(self): if not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval","actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return # Mapping containing virtual disk resource","= connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def connect_volume(self, connection_info):","from os_win import utilsfactory from oslo_log import log as logging from oslo_utils import","for each volume serial number. The physical path # associated with this resource","VolumeOps(object): \"\"\"Management class for Volume-related tasks \"\"\" def __init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device","be attached to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs","oslo_log import log as logging from oslo_utils import strutils import nova.conf from nova","connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info):","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,","dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol = constants.STORAGE_PROTOCOL_SMBFS","def disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name): LOG.debug(\"Detaching volume:","qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec","in writing, software # distributed under the License is distributed on an \"AS","**kwargs) def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec =","serial, vm_disk in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path)","Version 2.0 (the \"License\"); you may # not use this file except in","\"to instance %(instance_name)s. \" \"Tries left: %(tries_left)s.\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left':","= vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping","*args, **kwargs) return inner() return wrapper def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\') @export_path_synchronized","exported by it is about to be attached to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args,","instance_name) for serial, vm_disk in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path:","'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs') or {}","get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for vol in block_mapping: connection_info","to # avoid the situation when a SMB share is unmounted while a","for vol in block_mapping: connection_info = vol['connection_info'] disk_serial = connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info)","self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: self.disconnect_volume(vol['connection_info'])","\"License\"); you may # not use this file except in compliance with the","volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping containing the current disk","utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()}","be used when the disk is attached to an instance. disk_number = self._diskutils.get_device_number_from_device_name(","disk_paths: vol_id = connection_info['serial'] err_msg = _(\"Could not find disk path. Volume id:","= {} for vol in block_mapping: connection_info = vol['connection_info'] disk_serial = connection_info['serial'] disk_path","device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data'])","Reserved. # # Licensed under the Apache License, Version 2.0 (the \"License\"); you","the Apache License, Version 2.0 (the \"License\"); you may # not use this","_LE, _LI, _LW from nova import utils from nova.virt import driver from nova.virt.hyperv","driver.block_device_info_get_mapping(block_device_info) for vol in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left =","%(instance_name)s\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus ==","when a SMB share is unmounted while a volume # exported by it","class BaseVolumeDriver(object): _is_block_dev = True _protocol = None _extra_connector_args = {} def __init__(self):","int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec) class FCVolumeDriver(BaseVolumeDriver):","nova.conf.CONF class VolumeOps(object): \"\"\"Management class for Volume-related tasks \"\"\" def __init__(self): self._vmutils =","ctrller_path, slot def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\"The %(protocol)s Hyper-V volume driver \" \"does","connection_info): volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized","if self._is_block_dev: # We need the Msvm_DiskDrive resource path as this # will","def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized IOPS (8 KB increments) # as IOPS","# Mapping containing virtual disk resource path and the physical # disk path","'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\"Failed to attach volume","not use this file except in compliance with the License. You may obtain","def _get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type') if driver_type not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type)","the vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching to the first slot","class for Volume-related tasks \"\"\" def __init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device = 'vda'","root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn def connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info)","the SCSI controller for the vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path)","specific language governing permissions and limitations # under the License. \"\"\" Management class","Exception as ex: tries_left -= 1 if not tries_left: LOG.exception( _LE(\"Failed to attach","connection_info): driver_type = connection_info.get('driver_volume_type') if driver_type not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type]","as logging from oslo_utils import strutils import nova.conf from nova import exception from","actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut): the Windows os-brick connectors # do","disk_path_mapping[disk_serial] = disk_path return disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info)","to tag physical disk resources with the volume # serial number, in order","License for the specific language governing permissions and limitations # under the License.","import log as logging from oslo_utils import strutils import nova.conf from nova import","def export_path_synchronized(f): def wrapper(inst, connection_info, *args, **kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner():","volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized IOPS","path. Volume id: %s\") raise exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path):","is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus == constants.CTRL_TYPE_IDE: # Find the IDE","volume %(connection_info)s \" \"to instance %(instance_name)s. \"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info)","order to # avoid the situation when a SMB share is unmounted while","volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs') or {} if qos_specs:","not find disk path. Volume id: %s\") raise exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0])","serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def detach_volume(self, connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info)","disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info,","governing permissions and limitations # under the License. \"\"\" Management class for Storage-related","Mapping containing virtual disk resource path and the physical # disk path for","**kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return f(inst, connection_info, *args, **kwargs) return","the right one, # as physical disk paths can get swapped after host","self._is_block_dev: # We need the Msvm_DiskDrive resource path as this # will be","WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the #","strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\"Failed to","language governing permissions and limitations # under the License. \"\"\" Management class for","disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count + 1 while tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus) break","CONF.hyperv.volume_attach_retry_count + 1 while tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus) break except Exception as","physical disk paths can get swapped after host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name)","functions (attach, detach, etc). \"\"\" import time from os_brick.initiator import connector from os_win","disk_path return disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def","allocation units. return ( (no_bytes + constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE) @staticmethod def","= (_LW('Got unsupported QoS specs: ' '%(unsupported_specs)s. ' 'Supported qos specs: %(supported_qos_specs)s') %","unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev = True _protocol = None _extra_connector_args","%(connection_info)s \" \"to instance %(instance_name)s. \"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise","not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None,","resource path as this # will be used when the disk is attached","to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs = ['total_iops_sec',","the License. \"\"\" Management class for Storage-related functions (attach, detach, etc). \"\"\" import","resources with the volume # serial number, in order to be able to","constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type') if driver_type not in self.volume_drivers:","OF ANY KIND, either express or implied. See the # License for the","strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug(","controller for the vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching to the","def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self, *args, **kwargs): #","self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\"The","LOG.debug( \"Attaching volume: %(connection_info)s to %(instance_name)s\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info)","not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name): for vol","*args, **kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return f(inst, connection_info, *args, **kwargs)","= self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info)","vm_disk in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def","to be able to retrieve them # during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot,","= self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\"The %(protocol)s Hyper-V volume","paths for each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return # Mapping","# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the","disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial = connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot =","disk_bus) qos_specs = connection_info['data'].get('qos_specs') or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info):","class for Storage-related functions (attach, detach, etc). \"\"\" import time from os_brick.initiator import","slot = 0 else: # Find the SCSI controller for the vm ctrller_path","def detach_volume(self, connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\"Detaching disk %(disk_path)s \" \"from instance:","need the Msvm_DiskDrive resource path as this # will be used when the","self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name): LOG.debug(\"Detaching volume: %(connection_info)s \" \"from %(instance_name)s\", {'connection_info':","% vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if self._is_block_dev: # We need the","return wrapper def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\') @export_path_synchronized def attach_volume(self, *args, **kwargs):","(the \"License\"); you may # not use this file except in compliance with","tries_left: LOG.exception( _LE(\"Failed to attach volume %(connection_info)s \" \"to instance %(instance_name)s. \"), {'connection_info':","disk resource path and the physical # disk path for each volume serial","volume # serial number, in order to be able to retrieve them #","= connection_info.get('driver_volume_type') if driver_type not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self,","_protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst, connection_info, *args, **kwargs):","constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst, connection_info, *args, **kwargs): export_path =","resource may not be the right one, # as physical disk paths can","Msvm_DiskDrive resource path as this # will be used when the disk is","volume %(connection_info)s \" \"to instance %(instance_name)s. \" \"Tries left: %(tries_left)s.\"), {'connection_info': strutils.mask_dict_password( connection_info),","disk_serial = connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return disk_path_mapping def get_disk_resource_path(self,","actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut): the Windows","self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut): the Windows os-brick connectors # do not","# # Unless required by applicable law or agreed to in writing, software","def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg = (_LW('Got unsupported","self.connect_volume(connection_info) serial = connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if","return conn def connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info","self.get_disk_resource_path(connection_info) LOG.debug(\"Detaching disk %(disk_path)s \" \"from instance: %(instance_name)s\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev)","self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] !=","disk_number) else: disk_res_path = disk_path return disk_res_path def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info","set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\"The %(protocol)s Hyper-V volume driver \" \"does not support QoS.","total_bytes_sec)) if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec) class FCVolumeDriver(BaseVolumeDriver): _is_block_dev = True","# Mapping containing the current disk paths for each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info)","connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver","inner(): return f(inst, connection_info, *args, **kwargs) return inner() return wrapper def _get_export_path(self, connection_info):","increments) # as IOPS allocation units. return ( (no_bytes + constants.IOPS_BASE_SIZE - 1)","associated with this resource may not be the right one, # as physical","self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\"Failed to attach volume %(connection_info)s \"","physical disk resources with the volume # serial number, in order to be","number, in order to be able to retrieve them # during live migration.","inner() return wrapper def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\') @export_path_synchronized def attach_volume(self, *args,","logging from oslo_utils import strutils import nova.conf from nova import exception from nova.i18n","import driver from nova.virt.hyperv import constants LOG = logging.getLogger(__name__) CONF = nova.conf.CONF class","right one, # as physical disk paths can get swapped after host reboots.","= self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: # We need to","supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec =","instance_name): LOG.debug(\"Detaching volume: %(connection_info)s \" \"from %(instance_name)s\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver","self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self, *args, **kwargs): # We synchronize those operations based","\" \"to instance %(instance_name)s. \" \"Tries left: %(tries_left)s.\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name,","connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \"Attaching volume: %(connection_info)s to %(instance_name)s\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name})","\"\"\"Management class for Volume-related tasks \"\"\" def __init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device =","CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args)","attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count + 1 while tries_left: try: self._attach_volume(connection_info,","dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs):","int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path =","disk path for each volume serial number. The physical path # associated with","# associated with this resource may not be the right one, # as","in mapping: connection_info = vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping","strutils import nova.conf from nova import exception from nova.i18n import _, _LE, _LI,","= vol['connection_info'] disk_serial = connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return disk_path_mapping","nova import utils from nova.virt import driver from nova.virt.hyperv import constants LOG =","License. You may obtain # a copy of the License at # #","*args, **kwargs): # We synchronize those operations based on the share path in","mapping: connection_info = vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping =","the License is distributed on an \"AS IS\" BASIS, WITHOUT # WARRANTIES OR","for the specific language governing permissions and limitations # under the License. \"\"\"","\" \"from %(instance_name)s\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name)","instance_name, block_device_info): # Mapping containing the current disk paths for each volume. actual_disk_mapping","self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io,","Solutions Srl # All Rights Reserved. # # Licensed under the Apache License,","if disk_bus == constants.CTRL_TYPE_IDE: # Find the IDE controller for the vm. ctrller_path","Cloudbase Solutions Srl # All Rights Reserved. # # Licensed under the Apache","disk %(disk_path)s \" \"from instance: %(instance_name)s\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self,","except Exception as ex: tries_left -= 1 if not tries_left: LOG.exception( _LE(\"Failed to","import constants LOG = logging.getLogger(__name__) CONF = nova.conf.CONF class VolumeOps(object): \"\"\"Management class for","# do not use a root helper. conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io,","ANY KIND, either express or implied. See the # License for the specific","from nova.virt.hyperv import constants LOG = logging.getLogger(__name__) CONF = nova.conf.CONF class VolumeOps(object): \"\"\"Management","def connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info = vol['connection_info']","self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\"The %(protocol)s Hyper-V volume driver","return ( (no_bytes + constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs):","connection_info, *args, **kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return f(inst, connection_info, *args,","(no_bytes + constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs =","unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg = (_LW('Got unsupported QoS specs: '","return self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name): for vol in volumes: self.attach_volume(vol['connection_info'], instance_name) def","_is_block_dev = False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst,","os_win import utilsfactory from oslo_log import log as logging from oslo_utils import strutils","fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping containing the current disk paths for each volume.","= self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def set_disk_qos_specs(self, connection_info, disk_qos_specs):","if driver_type not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name):","virtual disk resource path and the physical # disk path for each volume","the first slot slot = 0 else: # Find the SCSI controller for","{} def __init__(self): self._conn = None self._diskutils = utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property","import nova.conf from nova import exception from nova.i18n import _, _LE, _LI, _LW","instance_name, disk_bus): if disk_bus == constants.CTRL_TYPE_IDE: # Find the IDE controller for the","Management class for Storage-related functions (attach, detach, etc). \"\"\" import time from os_brick.initiator","the share path in order to # avoid the situation when a SMB","= int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path","# avoid the situation when a SMB share is unmounted while a volume","*args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self, *args, **kwargs): # We synchronize","vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def set_disk_qos_specs(self,","path for each volume serial number. The physical path # associated with this","def _get_disk_res_path(self, disk_path): if self._is_block_dev: # We need the Msvm_DiskDrive resource path as","disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path = disk_path return disk_res_path def attach_volume(self, connection_info,","class VolumeOps(object): \"\"\"Management class for Volume-related tasks \"\"\" def __init__(self): self._vmutils = utilsfactory.get_vmutils()","We need to tag physical disk resources with the volume # serial number,","serial = connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev:","if self._is_block_dev: # We need to tag physical disk resources with the volume","*args, **kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev =","# Copyright 2013 Cloudbase Solutions Srl # All Rights Reserved. # # Licensed","'Supported qos specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev","# during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path,","# We synchronize those operations based on the share path in order to","the situation when a SMB share is unmounted while a volume # exported","volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name):","volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized IOPS (8 KB increments) #","disk_bus == constants.CTRL_TYPE_IDE: # Find the IDE controller for the vm. ctrller_path =","instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping containing the current disk paths","able to retrieve them # during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial)","instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path = disk_path","vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching to the first slot slot","return inner() return wrapper def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\') @export_path_synchronized def attach_volume(self,","_, _LE, _LI, _LW from nova import utils from nova.virt import driver from","vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut): the Windows os-brick connectors","for vol in mapping: connection_info = vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self,","# All Rights Reserved. # # Licensed under the Apache License, Version 2.0","instance %(instance_name)s. \"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex)","exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\"Failed to attach volume %(connection_info)s \" \"to instance","# disk path for each volume serial number. The physical path # associated","under the Apache License, Version 2.0 (the \"License\"); you may # not use","else: # Find the SCSI controller for the vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name)","WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See","_get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus == constants.CTRL_TYPE_IDE: # Find the IDE controller for","while tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus) break except Exception as ex: tries_left -=","my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn def connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for","reason=ex) else: LOG.warning( _LW(\"Failed to attach volume %(connection_info)s \" \"to instance %(instance_name)s. \"","disk_path): if self._is_block_dev: # We need the Msvm_DiskDrive resource path as this #","get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id = connection_info['serial'] err_msg =","FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type') if driver_type not in self.volume_drivers: raise","to be attached to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info, qos_specs):","constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs)","self._is_block_dev: # We need to tag physical disk resources with the volume #","is attached to an instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number)","current disk paths for each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return","root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def","__init__(self): self._conn = None self._diskutils = utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property def _connector(self):","super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self, *args, **kwargs): # We synchronize those operations","return f(inst, connection_info, *args, **kwargs) return inner() return wrapper def _get_export_path(self, connection_info): return","nova.virt.hyperv import constants LOG = logging.getLogger(__name__) CONF = nova.conf.CONF class VolumeOps(object): \"\"\"Management class","See the # License for the specific language governing permissions and limitations #","to retrieve them # during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial) else:","not be the right one, # as physical disk paths can get swapped","tag physical disk resources with the volume # serial number, in order to","on the share path in order to # avoid the situation when a","not use a root helper. conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host)","during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot)","log as logging from oslo_utils import strutils import nova.conf from nova import exception","is about to be attached to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self,","mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count + 1 while","connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: # We","self._attach_volume(connection_info, instance_name, disk_bus) break except Exception as ex: tries_left -= 1 if not","law or agreed to in writing, software # distributed under the License is","instance_name): for vol in volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info)","attached to an instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else:","= self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs') or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info,","Find the IDE controller for the vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0) #","order to be able to retrieve them # during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path,","LOG.exception( _LE(\"Failed to attach volume %(connection_info)s \" \"to instance %(instance_name)s. \"), {'connection_info': strutils.mask_dict_password(","nova import exception from nova.i18n import _, _LE, _LI, _LW from nova import","driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info = vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def","express or implied. See the # License for the specific language governing permissions","detach_volume(self, connection_info, instance_name): LOG.debug(\"Detaching volume: %(connection_info)s \" \"from %(instance_name)s\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name':","actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut): the Windows os-brick connectors # do not use","total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec)","block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info = vol['connection_info'] volume_driver =","an \"AS IS\" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either","# a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","CONDITIONS OF ANY KIND, either express or implied. See the # License for","\" \"to instance %(instance_name)s. \"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed(","0) total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path,","= self.get_disk_resource_path(connection_info) LOG.debug(\"Detaching disk %(disk_path)s \" \"from instance: %(instance_name)s\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path,","vol in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count +","= connection_info['data'].get('qos_specs') or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info): volume_driver =","= constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst, connection_info, *args, **kwargs): export_path","**kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def","self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count + 1 while tries_left:","{ constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type')","for the vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching to the first","initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args","The physical path # associated with this resource may not be the right","in block_mapping: connection_info = vol['connection_info'] disk_serial = connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] =","constants LOG = logging.getLogger(__name__) CONF = nova.conf.CONF class VolumeOps(object): \"\"\"Management class for Volume-related","disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): #","to attach volume %(connection_info)s \" \"to instance %(instance_name)s. \"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name':","each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return # Mapping containing virtual","We synchronize those operations based on the share path in order to #","constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type') if","QoS specs: ' '%(unsupported_specs)s. ' 'Supported qos specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs':","\" \"does not support QoS. Ignoring QoS specs.\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev =","NOTE(lpetrut): the Windows os-brick connectors # do not use a root helper. conn","utils from nova.virt import driver from nova.virt.hyperv import constants LOG = logging.getLogger(__name__) CONF","\" \"from instance: %(instance_name)s\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus):","= dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol =","= self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return # Mapping containing virtual disk resource path","vol in block_mapping: connection_info = vol['connection_info'] disk_serial = connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial]","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus == constants.CTRL_TYPE_IDE: # Find the","QoS. Ignoring QoS specs.\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_ISCSI","one, # as physical disk paths can get swapped after host reboots. vm_disk_mapping","# Find the SCSI controller for the vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot","it is about to be attached to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","err_msg = _(\"Could not find disk path. Volume id: %s\") raise exception.DiskNotFound(err_msg %","protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data'])","= self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name): LOG.debug(\"Detaching volume: %(connection_info)s \" \"from %(instance_name)s\",","this resource may not be the right one, # as physical disk paths","vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): #","%(disk_path)s \" \"from instance: %(instance_name)s\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name,","from nova.i18n import _, _LE, _LI, _LW from nova import utils from nova.virt","def wrapper(inst, connection_info, *args, **kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return f(inst,","connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data'])","compliance with the License. You may obtain # a copy of the License","migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def detach_volume(self,","\"Tries left: %(tries_left)s.\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self,","number. The physical path # associated with this resource may not be the","the vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def","['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec = int(qos_specs.get('total_iops_sec') or","{'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs')","self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path = disk_path return disk_res_path def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI):","an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec']","= actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut): the","IS\" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","def __init__(self): self._conn = None self._diskutils = utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property def","import connector from os_win import utilsfactory from oslo_log import log as logging from","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in","driver_type = connection_info.get('driver_volume_type') if driver_type not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def","disk_bus) if self._is_block_dev: # We need to tag physical disk resources with the","'%(unsupported_specs)s. ' 'Supported qos specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class","slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: # We need to tag physical disk","vol in volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol","helper. conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn def connect_volumes(self,","with this resource may not be the right one, # as physical disk","Mapping containing the current disk paths for each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if","scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return","class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f):","VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec) class FCVolumeDriver(BaseVolumeDriver): _is_block_dev =","= { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type =","1) // constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs:","volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs') or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def","instance_name) def disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: self.disconnect_volume(vol['connection_info']) def","disk_path_mapping = {} for vol in block_mapping: connection_info = vol['connection_info'] disk_serial = connection_info['serial']","synchronize those operations based on the share path in order to # avoid","in order to # avoid the situation when a SMB share is unmounted","connection_info): return connection_info['data']['export'].replace('/', '\\\\') @export_path_synchronized def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized","be able to retrieve them # during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path,","import exception from nova.i18n import _, _LE, _LI, _LW from nova import utils","'\\\\') @export_path_synchronized def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self, *args,","%(connection_info)s \" \"to instance %(instance_name)s. \" \"Tries left: %(tries_left)s.\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name':","( (no_bytes + constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs","return ctrller_path, slot def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\"The %(protocol)s Hyper-V volume driver \"","True _protocol = None _extra_connector_args = {} def __init__(self): self._conn = None self._diskutils","connection_info['serial'] err_msg = _(\"Could not find disk path. Volume id: %s\") raise exception.DiskNotFound(err_msg","self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def detach_volume(self, connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\"Detaching disk","may # not use this file except in compliance with the License. You","import time from os_brick.initiator import connector from os_win import utilsfactory from oslo_log import","def get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for vol in block_mapping:","with the volume # serial number, in order to be able to retrieve","volume driver \" \"does not support QoS. Ignoring QoS specs.\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver):","either express or implied. See the # License for the specific language governing","connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\"Detaching disk %(disk_path)s \" \"from instance: %(instance_name)s\", dict(disk_path=disk_path,","self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol","# Find the IDE controller for the vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0)","use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self,","situation when a SMB share is unmounted while a volume # exported by","to an instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path","this file except in compliance with the License. You may obtain # a","validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg = (_LW('Got unsupported QoS","utilsfactory.get_vmutils() @property def _connector(self): if not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval","Storage-related functions (attach, detach, etc). \"\"\" import time from os_brick.initiator import connector from","detach, etc). \"\"\" import time from os_brick.initiator import connector from os_win import utilsfactory","slot slot = 0 else: # Find the SCSI controller for the vm","else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def detach_volume(self, connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\"Detaching","= self.connect_volume(connection_info) serial = connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus)","_LW from nova import utils from nova.virt import driver from nova.virt.hyperv import constants","or implied. See the # License for the specific language governing permissions and","+ 1 while tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus) break except Exception as ex:","serial number. The physical path # associated with this resource may not be","def __init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(),","self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: # We need to tag","instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs,","else: disk_res_path = disk_path return disk_res_path def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info =","for Storage-related functions (attach, detach, etc). \"\"\" import time from os_brick.initiator import connector","KB increments) # as IOPS allocation units. return ( (no_bytes + constants.IOPS_BASE_SIZE -","attach volume %(connection_info)s \" \"to instance %(instance_name)s. \"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name})","self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if self._is_block_dev: # We need the Msvm_DiskDrive resource path","<NAME> # Copyright 2013 Cloudbase Solutions Srl # All Rights Reserved. # #","\"\"\" Management class for Storage-related functions (attach, detach, etc). \"\"\" import time from","(attach, detach, etc). \"\"\" import time from os_brick.initiator import connector from os_win import","block_mapping: connection_info = vol['connection_info'] disk_serial = connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path","in order to be able to retrieve them # during live migration. self._vmutils.attach_volume_to_controller(instance_name,","LOG.debug(\"Detaching disk %(disk_path)s \" \"from instance: %(instance_name)s\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def","vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if","def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count + 1 while tries_left: try:","if not tries_left: LOG.exception( _LE(\"Failed to attach volume %(connection_info)s \" \"to instance %(instance_name)s.","CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def","vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping =","those operations based on the share path in order to # avoid the","disk path. Volume id: %s\") raise exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self,","on an \"AS IS\" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND,","in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self):","supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev = True _protocol = None _extra_connector_args = {}","mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI):","IDE controller for the vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching to","volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\"Failed to attach volume %(connection_info)s \" \"to instance %(instance_name)s.","disconnect_volume(self, *args, **kwargs): # We synchronize those operations based on the share path","tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \"Attaching volume: %(connection_info)s to %(instance_name)s\",","from nova import exception from nova.i18n import _, _LE, _LI, _LW from nova","instance_name, 0) # Attaching to the first slot slot = 0 else: #","= ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec = int(qos_specs.get('total_iops_sec')","os-brick connectors # do not use a root helper. conn = connector.get_connector_properties( root_helper=None,","disk_paths = self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id = connection_info['serial'] err_msg = _(\"Could not","# We need the Msvm_DiskDrive resource path as this # will be used","actual_disk_mapping: return # Mapping containing virtual disk resource path and the physical #","dev_info = self.connect_volume(connection_info) serial = connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name,","connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id = connection_info['serial'] err_msg = _(\"Could","volume: %(connection_info)s to %(instance_name)s\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name,","the physical # disk path for each volume serial number. The physical path","exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if self._is_block_dev: # We need","slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def detach_volume(self, connection_info, instance_name): disk_path","= self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized IOPS (8","disk_bus): if disk_bus == constants.CTRL_TYPE_IDE: # Find the IDE controller for the vm.","host=CONF.host) return conn def connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping:","self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info) return","_protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args,","unsupported QoS specs: ' '%(unsupported_specs)s. ' 'Supported qos specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs,","@export_path_synchronized def disconnect_volume(self, *args, **kwargs): # We synchronize those operations based on the","%(instance_name)s. \" \"Tries left: %(tries_left)s.\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval)","from oslo_utils import strutils import nova.conf from nova import exception from nova.i18n import","wrapper def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\') @export_path_synchronized def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver,","from os_brick.initiator import connector from os_win import utilsfactory from oslo_log import log as","return disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes):","_extra_connector_args = {} def __init__(self): self._conn = None self._diskutils = utilsfactory.get_diskutils() self._vmutils =","block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name,","volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for vol in","LOG.info(_LI(\"The %(protocol)s Hyper-V volume driver \" \"does not support QoS. Ignoring QoS specs.\"),","nova.i18n import _, _LE, _LI, _LW from nova import utils from nova.virt import","OR CONDITIONS OF ANY KIND, either express or implied. See the # License","obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","Attaching to the first slot slot = 0 else: # Find the SCSI","root helper. conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn def","volumes, instance_name): for vol in volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info): mapping =","1 if not tries_left: LOG.exception( _LE(\"Failed to attach volume %(connection_info)s \" \"to instance","# Licensed under the Apache License, Version 2.0 (the \"License\"); you may #","self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: # We need to tag physical disk resources with","= self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id = connection_info['serial'] err_msg = _(\"Could not find","\"Attaching volume: %(connection_info)s to %(instance_name)s\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info,","= connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: #","**kwargs): # We synchronize those operations based on the share path in order","ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: # We need to tag physical","unmounted while a volume # exported by it is about to be attached","volume: %(connection_info)s \" \"from %(instance_name)s\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info)","def fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping containing the current disk paths for each","connection_info = vol['connection_info'] disk_serial = connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return","disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path = disk_path return","2012 <NAME> # Copyright 2013 Cloudbase Solutions Srl # All Rights Reserved. #","= self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path = disk_path return disk_res_path def attach_volume(self, connection_info, instance_name,","self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized IOPS (8 KB","qos_specs = connection_info['data'].get('qos_specs') or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info): volume_driver","self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def connect_volume(self,","**kwargs) @export_path_synchronized def disconnect_volume(self, *args, **kwargs): # We synchronize those operations based on","do not use a root helper. conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True,","if not actual_disk_mapping: return # Mapping containing virtual disk resource path and the","if not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol,","specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev = True","def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial = connection_info['serial'] disk_path =","attached to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs =","Volume-related tasks \"\"\" def __init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers =","# exported by it is about to be attached to an instance. super(SMBFSVolumeDriver,","get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses"],"string":"[\n \"raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\\\"Failed to attach volume %(connection_info)s \\\" \\\"to\",\n \"mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info = vol['connection_info'] volume_driver = self._get_volume_driver(connection_info)\",\n \"qos specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev =\",\n \"dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus == constants.CTRL_TYPE_IDE:\",\n \"VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec))\",\n \"instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping\",\n \"super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs)\",\n \"Unless required by applicable law or agreed to in writing, software # distributed\",\n \"%s\\\") raise exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if self._is_block_dev: #\",\n \"constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg =\",\n \"_LE(\\\"Failed to attach volume %(connection_info)s \\\" \\\"to instance %(instance_name)s. \\\"), {'connection_info': strutils.mask_dict_password( connection_info),\",\n \"scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts,\",\n \"_LW(\\\"Failed to attach volume %(connection_info)s \\\" \\\"to instance %(instance_name)s. \\\" \\\"Tries left: %(tries_left)s.\\\"),\",\n \"instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\\\"The %(protocol)s\",\n \"units. return ( (no_bytes + constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs,\",\n \"a root helper. conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn\",\n \"def attach_volumes(self, volumes, instance_name): for vol in volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info):\",\n \"actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut):\",\n \"ctrller_path, slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def detach_volume(self, connection_info, instance_name):\",\n \"Apache License, Version 2.0 (the \\\"License\\\"); you may # not use this file\",\n \"= constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs)\",\n \"the License. You may obtain # a copy of the License at #\",\n \"may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"uses normalized IOPS (8 KB increments) # as IOPS allocation units. return (\",\n \"instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus == constants.CTRL_TYPE_IDE: #\",\n \"inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return f(inst, connection_info, *args, **kwargs) return inner() return wrapper\",\n \"detach_volume(self, connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\\\"Detaching disk %(disk_path)s \\\" \\\"from instance: %(instance_name)s\\\",\",\n \"get_volume_connector(self): # NOTE(lpetrut): the Windows os-brick connectors # do not use a root\",\n \"slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\\\"The %(protocol)s Hyper-V\",\n \"volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return # Mapping containing virtual disk\",\n \"= False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst, connection_info,\",\n \"driver_type not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name): for\",\n \"reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial]\",\n \"utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property def _connector(self): if not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count\",\n \"# We need to tag physical disk resources with the volume # serial\",\n \"connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count + 1 while tries_left: try: self._attach_volume(connection_info, instance_name,\",\n \"0 else: # Find the SCSI controller for the vm ctrller_path = self._vmutils.get_vm_scsi_controller(\",\n \"class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs): self._extra_connector_args\",\n \"def get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id = connection_info['serial'] err_msg\",\n \"_(\\\"Could not find disk path. Volume id: %s\\\") raise exception.DiskNotFound(err_msg % vol_id) return\",\n \"the current disk paths for each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping:\",\n \"_get_disk_res_path(self, disk_path): if self._is_block_dev: # We need the Msvm_DiskDrive resource path as this\",\n \"specs: ' '%(unsupported_specs)s. ' 'Supported qos specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs})\",\n \"**kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self, *args, **kwargs): # We synchronize those\",\n \"with the License. You may obtain # a copy of the License at\",\n \"used when the disk is attached to an instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path)\",\n \"disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: # We need\",\n \"= None self._diskutils = utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property def _connector(self): if not\",\n \"connection_info['data'].get('qos_specs') or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info)\",\n \"connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def connect_volume(self, connection_info): return\",\n \"constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class\",\n \"# will be used when the disk is attached to an instance. disk_number\",\n \"from nova.virt import driver from nova.virt.hyperv import constants LOG = logging.getLogger(__name__) CONF =\",\n \"path and the physical # disk path for each volume serial number. The\",\n \"import _, _LE, _LI, _LW from nova import utils from nova.virt import driver\",\n \"containing the current disk paths for each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not\",\n \"attach_volumes(self, volumes, instance_name): for vol in volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info): mapping\",\n \"import utils from nova.virt import driver from nova.virt.hyperv import constants LOG = logging.getLogger(__name__)\",\n \"instance_name, disk_bus) break except Exception as ex: tries_left -= 1 if not tries_left:\",\n \"if unsupported_specs: msg = (_LW('Got unsupported QoS specs: ' '%(unsupported_specs)s. ' 'Supported qos\",\n \"= inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return f(inst, connection_info, *args, **kwargs) return inner() return\",\n \"the IDE controller for the vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching\",\n \"def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \\\"Attaching volume: %(connection_info)s to %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password(connection_info),\",\n \"operations based on the share path in order to # avoid the situation\",\n \"We need the Msvm_DiskDrive resource path as this # will be used when\",\n \"Hyper-V volume driver \\\" \\\"does not support QoS. Ignoring QoS specs.\\\"), dict(protocol=self._protocol)) class\",\n \"= connection_info['serial'] err_msg = _(\\\"Could not find disk path. Volume id: %s\\\") raise\",\n \"= set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg = (_LW('Got unsupported QoS specs: ' '%(unsupported_specs)s.\",\n \"total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec:\",\n \"volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping:\",\n \"return disk_res_path def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial = connection_info['serial']\",\n \"use this file except in compliance with the License. You may obtain #\",\n \"{'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\\\"Failed\",\n \"Find the SCSI controller for the vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot =\",\n \"self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching to the first slot slot = 0 else:\",\n \"this # will be used when the disk is attached to an instance.\",\n \"def inner(): return f(inst, connection_info, *args, **kwargs) return inner() return wrapper def _get_export_path(self,\",\n \"break except Exception as ex: tries_left -= 1 if not tries_left: LOG.exception( _LE(\\\"Failed\",\n \"BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\",\n \"# Attaching to the first slot slot = 0 else: # Find the\",\n \"is distributed on an \\\"AS IS\\\" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF\",\n \"and limitations # under the License. \\\"\\\"\\\" Management class for Storage-related functions (attach,\",\n \"= utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property def _connector(self): if not self._conn: scan_attempts =\",\n \"first slot slot = 0 else: # Find the SCSI controller for the\",\n \"{'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev = True _protocol = None\",\n \"= disk_path return disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod\",\n \"vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if self._is_block_dev: # We need the Msvm_DiskDrive\",\n \"**kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False\",\n \"as IOPS allocation units. return ( (no_bytes + constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE)\",\n \"implied. See the # License for the specific language governing permissions and limitations\",\n \"= 'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self,\",\n \"SCSI controller for the vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return\",\n \"%(connection_info)s to %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus)\",\n \"ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs): self._extra_connector_args =\",\n \"attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial = connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path'])\",\n \"path in order to # avoid the situation when a SMB share is\",\n \"\\\"from %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info)\",\n \"self._default_root_device = 'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def\",\n \"multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn def connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol\",\n \"super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args =\",\n \"use a root helper. conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return\",\n \"@utils.synchronized(export_path) def inner(): return f(inst, connection_info, *args, **kwargs) return inner() return wrapper def\",\n \"connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id =\",\n \"!= actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut): the Windows os-brick connectors #\",\n \"a SMB share is unmounted while a volume # exported by it is\",\n \"connector from os_win import utilsfactory from oslo_log import log as logging from oslo_utils\",\n \"you may # not use this file except in compliance with the License.\",\n \"ex: tries_left -= 1 if not tries_left: LOG.exception( _LE(\\\"Failed to attach volume %(connection_info)s\",\n \"exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name): for vol in volumes: self.attach_volume(vol['connection_info'], instance_name)\",\n \"by it is about to be attached to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs)\",\n \"them # during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path,\",\n \"volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name): LOG.debug(\\\"Detaching volume: %(connection_info)s \\\" \\\"from\",\n \"# under the License. \\\"\\\"\\\" Management class for Storage-related functions (attach, detach, etc).\",\n \"def get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v\",\n \"0) # Attaching to the first slot slot = 0 else: # Find\",\n \"KIND, either express or implied. See the # License for the specific language\",\n \"is unmounted while a volume # exported by it is about to be\",\n \"self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec\",\n \"= driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for vol in block_mapping: connection_info = vol['connection_info'] disk_serial\",\n \"if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec) class FCVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol\",\n \"= self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path']\",\n \"(_LW('Got unsupported QoS specs: ' '%(unsupported_specs)s. ' 'Supported qos specs: %(supported_qos_specs)s') % {'unsupported_specs':\",\n \"volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping containing\",\n \"block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for vol in block_mapping: connection_info =\",\n \"from oslo_log import log as logging from oslo_utils import strutils import nova.conf from\",\n \"- 1) // constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if\",\n \"unsupported_specs: msg = (_LW('Got unsupported QoS specs: ' '%(unsupported_specs)s. ' 'Supported qos specs:\",\n \"_connector(self): if not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory(\",\n \"normalized IOPS (8 KB increments) # as IOPS allocation units. return ( (no_bytes\",\n \"in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count + 1\",\n \"wrapper(inst, connection_info, *args, **kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return f(inst, connection_info,\",\n \"Copyright 2012 <NAME> # Copyright 2013 Cloudbase Solutions Srl # All Rights Reserved.\",\n \"self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id = connection_info['serial'] err_msg = _(\\\"Could not find disk\",\n \"file except in compliance with the License. You may obtain # a copy\",\n \"raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name): for vol in volumes: self.attach_volume(vol['connection_info'],\",\n \"disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path = disk_path return disk_res_path def attach_volume(self,\",\n \"%(protocol)s Hyper-V volume driver \\\" \\\"does not support QoS. Ignoring QoS specs.\\\"), dict(protocol=self._protocol))\",\n \"_get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\\\\\') @export_path_synchronized def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs)\",\n \"set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg = (_LW('Got unsupported QoS specs: ' '%(unsupported_specs)s. '\",\n \"may not be the right one, # as physical disk paths can get\",\n \"\\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning(\",\n \"block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for vol in block_mapping: connection_info = vol['connection_info']\",\n \"about to be attached to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info,\",\n \"export_path_synchronized(f): def wrapper(inst, connection_info, *args, **kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return\",\n \"All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the\",\n \"\\\"AS IS\\\" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express\",\n \"volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {}\",\n \"when the disk is attached to an instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path\",\n \"nova.virt import driver from nova.virt.hyperv import constants LOG = logging.getLogger(__name__) CONF = nova.conf.CONF\",\n \"self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id = connection_info['serial']\",\n \"slot) def detach_volume(self, connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\\\"Detaching disk %(disk_path)s \\\" \\\"from\",\n \"vol in mapping: connection_info = vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info):\",\n \"def _connector(self): if not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn =\",\n \"@staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized IOPS (8 KB increments) # as\",\n \"software # distributed under the License is distributed on an \\\"AS IS\\\" BASIS,\",\n \"connection_info = vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info)\",\n \"= True _protocol = None _extra_connector_args = {} def __init__(self): self._conn = None\",\n \"1 while tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus) break except Exception as ex: tries_left\",\n \"conn def connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info =\",\n \"Volume id: %s\\\") raise exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to\",\n \"find disk path. Volume id: %s\\\") raise exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0]) def\",\n \"self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type\",\n \"distributed on an \\\"AS IS\\\" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY\",\n \"# NOTE(lpetrut): the Windows os-brick connectors # do not use a root helper.\",\n \"_extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst, connection_info, *args, **kwargs): export_path = inst._get_export_path(connection_info)\",\n \"instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \\\"Attaching volume: %(connection_info)s\",\n \"instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count + 1 while tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus)\",\n \"= dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst, connection_info, *args, **kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path)\",\n \"the # License for the specific language governing permissions and limitations # under\",\n \"connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn def connect_volumes(self, block_device_info): mapping =\",\n \"or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info)\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"to %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs\",\n \"@export_path_synchronized def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self, *args, **kwargs):\",\n \"driver from nova.virt.hyperv import constants LOG = logging.getLogger(__name__) CONF = nova.conf.CONF class VolumeOps(object):\",\n \"self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name): for vol in volumes:\",\n \"as physical disk paths can get swapped after host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping(\",\n \"self._vmutils = utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(),\",\n \"controller for the vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path,\",\n \"You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \\\"Attaching volume: %(connection_info)s to %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver\",\n \"%(instance_name)s. \\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else:\",\n \"@staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg = (_LW('Got\",\n \"disk_bus) break except Exception as ex: tries_left -= 1 if not tries_left: LOG.exception(\",\n \"msg = (_LW('Got unsupported QoS specs: ' '%(unsupported_specs)s. ' 'Supported qos specs: %(supported_qos_specs)s')\",\n \"for vol in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count\",\n \"return # Mapping containing virtual disk resource path and the physical # disk\",\n \"required by applicable law or agreed to in writing, software # distributed under\",\n \"def disconnect_volume(self, *args, **kwargs): # We synchronize those operations based on the share\",\n \"disk_path return disk_res_path def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial =\",\n \"connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths =\",\n \"ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type') if driver_type not in\",\n \"applicable law or agreed to in writing, software # distributed under the License\",\n \"a volume # exported by it is about to be attached to an\",\n \"or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec) class FCVolumeDriver(BaseVolumeDriver): _is_block_dev\",\n \"utilsfactory from oslo_log import log as logging from oslo_utils import strutils import nova.conf\",\n \"= self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for\",\n \"LOG.warning( _LW(\\\"Failed to attach volume %(connection_info)s \\\" \\\"to instance %(instance_name)s. \\\" \\\"Tries left:\",\n \"connectors # do not use a root helper. conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip,\",\n \"self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def detach_volume(self, connection_info,\",\n \"instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\\\"Detaching disk %(disk_path)s \\\" \\\"from instance: %(instance_name)s\\\", dict(disk_path=disk_path, instance_name=instance_name))\",\n \"the specific language governing permissions and limitations # under the License. \\\"\\\"\\\" Management\",\n \"supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if\",\n \"the disk is attached to an instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path =\",\n \"in compliance with the License. You may obtain # a copy of the\",\n \"device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info):\",\n \"each volume serial number. The physical path # associated with this resource may\",\n \"= 0 else: # Find the SCSI controller for the vm ctrller_path =\",\n \"or agreed to in writing, software # distributed under the License is distributed\",\n \"connection_info['data']['export'].replace('/', '\\\\\\\\') @export_path_synchronized def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self,\",\n \"BaseVolumeDriver(object): _is_block_dev = True _protocol = None _extra_connector_args = {} def __init__(self): self._conn\",\n \"set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or\",\n \"import utilsfactory from oslo_log import log as logging from oslo_utils import strutils import\",\n \"instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs') or {} if\",\n \"instance %(instance_name)s. \\\" \\\"Tries left: %(tries_left)s.\\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left': tries_left})\",\n \"// constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg\",\n \"# as IOPS allocation units. return ( (no_bytes + constants.IOPS_BASE_SIZE - 1) //\",\n \"__init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI:\",\n \"\\\" \\\"Tries left: %(tries_left)s.\\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def\",\n \"IOPS (8 KB increments) # as IOPS allocation units. return ( (no_bytes +\",\n \"swapped after host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk in vm_disk_mapping.items():\",\n \"= utilsfactory.get_vmutils() @property def _connector(self): if not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval =\",\n \"get swapped after host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk in\",\n \"'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \\\"Attaching volume:\",\n \"etc). \\\"\\\"\\\" import time from os_brick.initiator import connector from os_win import utilsfactory from\",\n \"disk_qos_specs): LOG.info(_LI(\\\"The %(protocol)s Hyper-V volume driver \\\" \\\"does not support QoS. Ignoring QoS\",\n \"self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if not\",\n \"while a volume # exported by it is about to be attached to\",\n \"= driver.block_device_info_get_mapping(block_device_info) for vol in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left\",\n \"disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name): LOG.debug(\\\"Detaching volume: %(connection_info)s\",\n \"instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs') or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self,\",\n \"self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping containing the current\",\n \"connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial = connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path,\",\n \"def detach_volume(self, connection_info, instance_name): LOG.debug(\\\"Detaching volume: %(connection_info)s \\\" \\\"from %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password( connection_info),\",\n \"the Windows os-brick connectors # do not use a root helper. conn =\",\n \"_is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs): self._extra_connector_args = dict(\",\n \"volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name): LOG.debug(\\\"Detaching volume: %(connection_info)s \\\" \\\"from %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password(\",\n \"\\\"from instance: %(instance_name)s\\\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if\",\n \"tries_left -= 1 if not tries_left: LOG.exception( _LE(\\\"Failed to attach volume %(connection_info)s \\\"\",\n \"License is distributed on an \\\"AS IS\\\" BASIS, WITHOUT # WARRANTIES OR CONDITIONS\",\n \"writing, software # distributed under the License is distributed on an \\\"AS IS\\\"\",\n \"Windows os-brick connectors # do not use a root helper. conn = connector.get_connector_properties(\",\n \"IOPS allocation units. return ( (no_bytes + constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE) @staticmethod\",\n \"ctrller_path, slot) def detach_volume(self, connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\\\"Detaching disk %(disk_path)s \\\"\",\n \"not tries_left: LOG.exception( _LE(\\\"Failed to attach volume %(connection_info)s \\\" \\\"to instance %(instance_name)s. \\\"),\",\n \"will be used when the disk is attached to an instance. disk_number =\",\n \"instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial = connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot\",\n \"self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True)\",\n \"physical # disk path for each volume serial number. The physical path #\",\n \"not disk_paths: vol_id = connection_info['serial'] err_msg = _(\\\"Could not find disk path. Volume\",\n \"CONF = nova.conf.CONF class VolumeOps(object): \\\"\\\"\\\"Management class for Volume-related tasks \\\"\\\"\\\" def __init__(self):\",\n \"os_brick.initiator import connector from os_win import utilsfactory from oslo_log import log as logging\",\n \"time from os_brick.initiator import connector from os_win import utilsfactory from oslo_log import log\",\n \"= nova.conf.CONF class VolumeOps(object): \\\"\\\"\\\"Management class for Volume-related tasks \\\"\\\"\\\" def __init__(self): self._vmutils\",\n \"Hyper-v uses normalized IOPS (8 KB increments) # as IOPS allocation units. return\",\n \"need to tag physical disk resources with the volume # serial number, in\",\n \"instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\\\"Failed to attach volume %(connection_info)s\",\n \"live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def\",\n \"def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus == constants.CTRL_TYPE_IDE: # Find the IDE controller\",\n \"left: %(tries_left)s.\\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info,\",\n \"export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return f(inst, connection_info, *args, **kwargs) return inner()\",\n \"share path in order to # avoid the situation when a SMB share\",\n \"%(connection_info)s \\\" \\\"from %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info,\",\n \"conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn def connect_volumes(self, block_device_info):\",\n \"True _protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver,\",\n \"disk is attached to an instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number(\",\n \"serial number, in order to be able to retrieve them # during live\",\n \"driver \\\" \\\"does not support QoS. Ignoring QoS specs.\\\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev\",\n \"{'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI):\",\n \"the volume # serial number, in order to be able to retrieve them\",\n \"constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type') if driver_type not\",\n \"_is_block_dev = True _protocol = None _extra_connector_args = {} def __init__(self): self._conn =\",\n \"self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus == constants.CTRL_TYPE_IDE: # Find\",\n \"%(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev = True _protocol\",\n \"connection_info, qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0)\",\n \"None self._diskutils = utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property def _connector(self): if not self._conn:\",\n \"%(instance_name)s\\\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def\",\n \"= True _protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list)\",\n \"= CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval,\",\n \"# as physical disk paths can get swapped after host reboots. vm_disk_mapping =\",\n \"= int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec) class\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"None _extra_connector_args = {} def __init__(self): self._conn = None self._diskutils = utilsfactory.get_diskutils() self._vmutils\",\n \"disk resources with the volume # serial number, in order to be able\",\n \"not actual_disk_mapping: return # Mapping containing virtual disk resource path and the physical\",\n \"or 0) total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info)\",\n \"be the right one, # as physical disk paths can get swapped after\",\n \"<gh_stars>1-10 # Copyright 2012 <NAME> # Copyright 2013 Cloudbase Solutions Srl # All\",\n \"self._conn def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info):\",\n \"Ignoring QoS specs.\\\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_ISCSI def\",\n \"for vol in volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for\",\n \"Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); you may # not\",\n \"= self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching to the first slot slot = 0\",\n \"paths can get swapped after host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial,\",\n \"%(instance_name)s\\\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs =\",\n \"volume serial number. The physical path # associated with this resource may not\",\n \"disk_path, ctrller_path, slot) def detach_volume(self, connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\\\"Detaching disk %(disk_path)s\",\n \"2.0 (the \\\"License\\\"); you may # not use this file except in compliance\",\n \"_protocol = None _extra_connector_args = {} def __init__(self): self._conn = None self._diskutils =\",\n \"self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return # Mapping containing virtual disk resource path and\",\n \"bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized IOPS (8 KB increments) # as IOPS allocation\",\n \"return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if\",\n \"permissions and limitations # under the License. \\\"\\\"\\\" Management class for Storage-related functions\",\n \"# Hyper-v uses normalized IOPS (8 KB increments) # as IOPS allocation units.\",\n \"= disk_path return disk_res_path def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial\",\n \"License. \\\"\\\"\\\" Management class for Storage-related functions (attach, detach, etc). \\\"\\\"\\\" import time\",\n \"LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev = True _protocol = None _extra_connector_args = {} def\",\n \"connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info = vol['connection_info'] volume_driver\",\n \"disk_res_path def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial = connection_info['serial'] disk_path\",\n \"# distributed under the License is distributed on an \\\"AS IS\\\" BASIS, WITHOUT\",\n \"block_device_info): # Mapping containing the current disk paths for each volume. actual_disk_mapping =\",\n \"= connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return disk_path_mapping def get_disk_resource_path(self, connection_info):\",\n \"False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst, connection_info, *args,\",\n \"{'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self,\",\n \"(8 KB increments) # as IOPS allocation units. return ( (no_bytes + constants.IOPS_BASE_SIZE\",\n \"License, Version 2.0 (the \\\"License\\\"); you may # not use this file except\",\n \"connection_info, disk_qos_specs): LOG.info(_LI(\\\"The %(protocol)s Hyper-V volume driver \\\" \\\"does not support QoS. Ignoring\",\n \"try: self._attach_volume(connection_info, instance_name, disk_bus) break except Exception as ex: tries_left -= 1 if\",\n \"qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info,\",\n \"= {} def __init__(self): self._conn = None self._diskutils = utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils()\",\n \"return self._conn def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self,\",\n \"SMB share is unmounted while a volume # exported by it is about\",\n \"SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f): def\",\n \"connection_info, *args, **kwargs) return inner() return wrapper def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\\\\\')\",\n \"to attach volume %(connection_info)s \\\" \\\"to instance %(instance_name)s. \\\" \\\"Tries left: %(tries_left)s.\\\"), {'connection_info':\",\n \"disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \\\"Attaching volume: %(connection_info)s to %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver =\",\n \"__init__(self, *args, **kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev\",\n \"and the physical # disk path for each volume serial number. The physical\",\n \"after host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk in vm_disk_mapping.items(): actual_disk_path\",\n \"disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def detach_volume(self, connection_info, instance_name): disk_path =\",\n \"if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut): the Windows os-brick\",\n \"raise exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if self._is_block_dev: # We\",\n \"specs.\\\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args,\",\n \"-= 1 if not tries_left: LOG.exception( _LE(\\\"Failed to attach volume %(connection_info)s \\\" \\\"to\",\n \"def disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self,\",\n \"strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name,\",\n \"connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\\\"Failed to attach\",\n \"LOG = logging.getLogger(__name__) CONF = nova.conf.CONF class VolumeOps(object): \\\"\\\"\\\"Management class for Volume-related tasks\",\n \"not support QoS. Ignoring QoS specs.\\\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol\",\n \"share is unmounted while a volume # exported by it is about to\",\n \"total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec) class FCVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol =\",\n \"{} for vol in block_mapping: connection_info = vol['connection_info'] disk_serial = connection_info['serial'] disk_path =\",\n \"2013 Cloudbase Solutions Srl # All Rights Reserved. # # Licensed under the\",\n \"as this # will be used when the disk is attached to an\",\n \"def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\\\"The %(protocol)s Hyper-V volume driver \\\" \\\"does not support\",\n \"vol_id = connection_info['serial'] err_msg = _(\\\"Could not find disk path. Volume id: %s\\\")\",\n \"logging.getLogger(__name__) CONF = nova.conf.CONF class VolumeOps(object): \\\"\\\"\\\"Management class for Volume-related tasks \\\"\\\"\\\" def\",\n \"agreed to in writing, software # distributed under the License is distributed on\",\n \"_get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type') if driver_type not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return\",\n \"supported_qos_specs) if unsupported_specs: msg = (_LW('Got unsupported QoS specs: ' '%(unsupported_specs)s. ' 'Supported\",\n \"= self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: # We need to tag physical disk resources\",\n \"slot def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\\\"The %(protocol)s Hyper-V volume driver \\\" \\\"does not\",\n \"' 'Supported qos specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object):\",\n \"containing virtual disk resource path and the physical # disk path for each\",\n \"= _(\\\"Could not find disk path. Volume id: %s\\\") raise exception.DiskNotFound(err_msg % vol_id)\",\n \"retrieve them # during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name,\",\n \"_LI, _LW from nova import utils from nova.virt import driver from nova.virt.hyperv import\",\n \"from nova import utils from nova.virt import driver from nova.virt.hyperv import constants LOG\",\n \"f(inst, connection_info, *args, **kwargs) return inner() return wrapper def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/',\",\n \"**self._extra_connector_args) return self._conn def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def\",\n \"= self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping containing the\",\n \"+ constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference(\",\n \"to the first slot slot = 0 else: # Find the SCSI controller\",\n \"support QoS. Ignoring QoS specs.\\\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol =\",\n \"\\\"\\\"\\\" import time from os_brick.initiator import connector from os_win import utilsfactory from oslo_log\",\n \"self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name): for vol in volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self,\",\n \"def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths\",\n \"return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if self._is_block_dev: # We need the Msvm_DiskDrive resource\",\n \"tasks \\\"\\\"\\\" def __init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers = {\",\n \"in volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in\",\n \"volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping containing the current disk paths for\",\n \"for each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return # Mapping containing\",\n \"= utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC:\",\n \"path # associated with this resource may not be the right one, #\",\n \"= CONF.hyperv.volume_attach_retry_count + 1 while tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus) break except Exception\",\n \"volume # exported by it is about to be attached to an instance.\",\n \"an instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path =\",\n \"\\\"\\\"\\\" def __init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS:\",\n \"import strutils import nova.conf from nova import exception from nova.i18n import _, _LE,\",\n \"nova.conf from nova import exception from nova.i18n import _, _LE, _LI, _LW from\",\n \"return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized IOPS (8 KB increments)\",\n \"supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg = (_LW('Got unsupported QoS specs:\",\n \"self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path = disk_path return disk_res_path def\",\n \"# Unless required by applicable law or agreed to in writing, software #\",\n \"ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching to the first slot slot =\",\n \"else: LOG.warning( _LW(\\\"Failed to attach volume %(connection_info)s \\\" \\\"to instance %(instance_name)s. \\\" \\\"Tries\",\n \"by applicable law or agreed to in writing, software # distributed under the\",\n \"'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev = True _protocol = None _extra_connector_args =\",\n \"ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def set_disk_qos_specs(self, connection_info,\",\n \"driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for vol in block_mapping: connection_info = vol['connection_info'] disk_serial =\",\n \"under the License is distributed on an \\\"AS IS\\\" BASIS, WITHOUT # WARRANTIES\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"attach volume %(connection_info)s \\\" \\\"to instance %(instance_name)s. \\\" \\\"Tries left: %(tries_left)s.\\\"), {'connection_info': strutils.mask_dict_password(\",\n \"connection_info.get('driver_volume_type') if driver_type not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self, volumes,\",\n \"time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \\\"Attaching volume: %(connection_info)s to %(instance_name)s\\\", {'connection_info':\",\n \"for serial, vm_disk in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'],\",\n \"'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \\\"Attaching volume: %(connection_info)s to\",\n \"disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver =\",\n \"# serial number, in order to be able to retrieve them # during\",\n \"LOG.debug(\\\"Detaching volume: %(connection_info)s \\\" \\\"from %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver =\",\n \"based on the share path in order to # avoid the situation when\",\n \"%(tries_left)s.\\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name,\",\n \"if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self,\",\n \"return connection_info['data']['export'].replace('/', '\\\\\\\\') @export_path_synchronized def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def\",\n \"**kwargs) return inner() return wrapper def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\\\\\') @export_path_synchronized def\",\n \"strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs') or\",\n \"the Msvm_DiskDrive resource path as this # will be used when the disk\",\n \"host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk in vm_disk_mapping.items(): actual_disk_path =\",\n \"connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name): LOG.debug(\\\"Detaching volume: %(connection_info)s \\\"\",\n \"limitations # under the License. \\\"\\\"\\\" Management class for Storage-related functions (attach, detach,\",\n \"= CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn\",\n \"avoid the situation when a SMB share is unmounted while a volume #\",\n \"disk_res_path = disk_path return disk_res_path def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info)\",\n \"connection_info), 'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \\\"Attaching\",\n \"constants.CTRL_TYPE_IDE: # Find the IDE controller for the vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name,\",\n \"disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec) class FCVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_FC\",\n \"can get swapped after host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk\",\n \"% {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev = True _protocol =\",\n \"= connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn def connect_volumes(self, block_device_info): mapping\",\n \"if not disk_paths: vol_id = connection_info['serial'] err_msg = _(\\\"Could not find disk path.\",\n \"= self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path = disk_path return disk_res_path\",\n \"def __init__(self, *args, **kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver):\",\n \"_attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \\\"Attaching volume: %(connection_info)s to %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name':\",\n \"disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\\\"Detaching disk %(disk_path)s \\\" \\\"from instance: %(instance_name)s\\\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name,\",\n \"# # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); you may\",\n \"as ex: tries_left -= 1 if not tries_left: LOG.exception( _LE(\\\"Failed to attach volume\",\n \"in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name): for vol in\",\n \"{} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def\",\n \"resource path and the physical # disk path for each volume serial number.\",\n \"'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info): #\",\n \"disk paths can get swapped after host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for\",\n \"under the License. \\\"\\\"\\\" Management class for Storage-related functions (attach, detach, etc). \\\"\\\"\\\"\",\n \"== constants.CTRL_TYPE_IDE: # Find the IDE controller for the vm. ctrller_path = self._vmutils.get_vm_ide_controller(\",\n \"QoS specs.\\\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self,\",\n \"= None _extra_connector_args = {} def __init__(self): self._conn = None self._diskutils = utilsfactory.get_diskutils()\",\n \"except in compliance with the License. You may obtain # a copy of\",\n \"= logging.getLogger(__name__) CONF = nova.conf.CONF class VolumeOps(object): \\\"\\\"\\\"Management class for Volume-related tasks \\\"\\\"\\\"\",\n \"self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for vol\",\n \"@property def _connector(self): if not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn\",\n \"Copyright 2013 Cloudbase Solutions Srl # All Rights Reserved. # # Licensed under\",\n \"'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info):\",\n \"to in writing, software # distributed under the License is distributed on an\",\n \"\\\"does not support QoS. Ignoring QoS specs.\\\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True\",\n \"\\\"to instance %(instance_name)s. \\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'],\",\n \"def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\\\\\') @export_path_synchronized def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args,\",\n \"'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops(\",\n \"Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\");\",\n \"def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if not disk_paths:\",\n \"path as this # will be used when the disk is attached to\",\n \"disk paths for each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return #\",\n \"for the vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot\",\n \"dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst, connection_info, *args, **kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def\",\n \"instance: %(instance_name)s\\\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus\",\n \"attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self, *args, **kwargs): # We\",\n \"Srl # All Rights Reserved. # # Licensed under the Apache License, Version\",\n \"# Copyright 2012 <NAME> # Copyright 2013 Cloudbase Solutions Srl # All Rights\",\n \"tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus) break except Exception as ex: tries_left -= 1\",\n \"SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type') if driver_type\",\n \"' '%(unsupported_specs)s. ' 'Supported qos specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg)\",\n \"distributed under the License is distributed on an \\\"AS IS\\\" BASIS, WITHOUT #\",\n \"tries_left = CONF.hyperv.volume_attach_retry_count + 1 while tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus) break except\",\n \"self._diskutils = utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property def _connector(self): if not self._conn: scan_attempts\",\n \"def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec')\",\n \"self._conn = None self._diskutils = utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property def _connector(self): if\",\n \"def get_volume_connector(self): # NOTE(lpetrut): the Windows os-brick connectors # do not use a\",\n \"oslo_utils import strutils import nova.conf from nova import exception from nova.i18n import _,\",\n \"qos_specs) def disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name): LOG.debug(\\\"Detaching\",\n \"exception from nova.i18n import _, _LE, _LI, _LW from nova import utils from\",\n \"self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs') or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs)\",\n \"disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id\",\n \"# not use this file except in compliance with the License. You may\",\n \"enforce_multipath=True, host=CONF.host) return conn def connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in\",\n \"= driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info = vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info)\",\n \"id: %s\\\") raise exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if self._is_block_dev:\",\n \"for Volume-related tasks \\\"\\\"\\\" def __init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers\",\n \"physical path # associated with this resource may not be the right one,\",\n \"# License for the specific language governing permissions and limitations # under the\",\n \"vol['connection_info'] disk_serial = connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return disk_path_mapping def\",\n \"connection_info, instance_name): LOG.debug(\\\"Detaching volume: %(connection_info)s \\\" \\\"from %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name})\",\n \"self._vmutils = utilsfactory.get_vmutils() @property def _connector(self): if not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval\",\n \"actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return # Mapping containing virtual disk resource\",\n \"= connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def connect_volume(self, connection_info):\",\n \"from os_win import utilsfactory from oslo_log import log as logging from oslo_utils import\",\n \"for each volume serial number. The physical path # associated with this resource\",\n \"VolumeOps(object): \\\"\\\"\\\"Management class for Volume-related tasks \\\"\\\"\\\" def __init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device\",\n \"be attached to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs\",\n \"oslo_log import log as logging from oslo_utils import strutils import nova.conf from nova\",\n \"connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info):\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,\",\n \"dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol = constants.STORAGE_PROTOCOL_SMBFS\",\n \"def disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name): LOG.debug(\\\"Detaching volume:\",\n \"qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec\",\n \"in writing, software # distributed under the License is distributed on an \\\"AS\",\n \"**kwargs) def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec =\",\n \"serial, vm_disk in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path)\",\n \"Version 2.0 (the \\\"License\\\"); you may # not use this file except in\",\n \"\\\"to instance %(instance_name)s. \\\" \\\"Tries left: %(tries_left)s.\\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left':\",\n \"= vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping\",\n \"*args, **kwargs) return inner() return wrapper def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\\\\\') @export_path_synchronized\",\n \"exported by it is about to be attached to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args,\",\n \"instance_name) for serial, vm_disk in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path:\",\n \"'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs') or {}\",\n \"get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for vol in block_mapping: connection_info\",\n \"to # avoid the situation when a SMB share is unmounted while a\",\n \"for vol in block_mapping: connection_info = vol['connection_info'] disk_serial = connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info)\",\n \"self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: self.disconnect_volume(vol['connection_info'])\",\n \"\\\"License\\\"); you may # not use this file except in compliance with the\",\n \"volume_driver.detach_volume(connection_info, instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping containing the current disk\",\n \"utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()}\",\n \"be used when the disk is attached to an instance. disk_number = self._diskutils.get_device_number_from_device_name(\",\n \"disk_paths: vol_id = connection_info['serial'] err_msg = _(\\\"Could not find disk path. Volume id:\",\n \"= {} for vol in block_mapping: connection_info = vol['connection_info'] disk_serial = connection_info['serial'] disk_path\",\n \"device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data'])\",\n \"Reserved. # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); you\",\n \"the Apache License, Version 2.0 (the \\\"License\\\"); you may # not use this\",\n \"_LE, _LI, _LW from nova import utils from nova.virt import driver from nova.virt.hyperv\",\n \"driver.block_device_info_get_mapping(block_device_info) for vol in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left =\",\n \"%(instance_name)s\\\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus ==\",\n \"when a SMB share is unmounted while a volume # exported by it\",\n \"class BaseVolumeDriver(object): _is_block_dev = True _protocol = None _extra_connector_args = {} def __init__(self):\",\n \"int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec) class FCVolumeDriver(BaseVolumeDriver):\",\n \"nova.conf.CONF class VolumeOps(object): \\\"\\\"\\\"Management class for Volume-related tasks \\\"\\\"\\\" def __init__(self): self._vmutils =\",\n \"ctrller_path, slot def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\\\"The %(protocol)s Hyper-V volume driver \\\" \\\"does\",\n \"connection_info): volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized\",\n \"if self._is_block_dev: # We need the Msvm_DiskDrive resource path as this # will\",\n \"def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized IOPS (8 KB increments) # as IOPS\",\n \"# Mapping containing virtual disk resource path and the physical # disk path\",\n \"'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\\\"Failed to attach volume\",\n \"not use this file except in compliance with the License. You may obtain\",\n \"def _get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type') if driver_type not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type)\",\n \"the vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching to the first slot\",\n \"class for Volume-related tasks \\\"\\\"\\\" def __init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device = 'vda'\",\n \"root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn def connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info)\",\n \"the SCSI controller for the vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path)\",\n \"specific language governing permissions and limitations # under the License. \\\"\\\"\\\" Management class\",\n \"Exception as ex: tries_left -= 1 if not tries_left: LOG.exception( _LE(\\\"Failed to attach\",\n \"connection_info): driver_type = connection_info.get('driver_volume_type') if driver_type not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type]\",\n \"as logging from oslo_utils import strutils import nova.conf from nova import exception from\",\n \"actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut): the Windows os-brick connectors # do\",\n \"disk_path_mapping[disk_serial] = disk_path return disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info)\",\n \"to tag physical disk resources with the volume # serial number, in order\",\n \"License for the specific language governing permissions and limitations # under the License.\",\n \"import log as logging from oslo_utils import strutils import nova.conf from nova import\",\n \"def export_path_synchronized(f): def wrapper(inst, connection_info, *args, **kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner():\",\n \"volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized IOPS\",\n \"path. Volume id: %s\\\") raise exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path):\",\n \"is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus == constants.CTRL_TYPE_IDE: # Find the IDE\",\n \"volume %(connection_info)s \\\" \\\"to instance %(instance_name)s. \\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info)\",\n \"order to # avoid the situation when a SMB share is unmounted while\",\n \"volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs') or {} if qos_specs:\",\n \"not find disk path. Volume id: %s\\\") raise exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0])\",\n \"serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def detach_volume(self, connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info)\",\n \"disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info,\",\n \"governing permissions and limitations # under the License. \\\"\\\"\\\" Management class for Storage-related\",\n \"Mapping containing virtual disk resource path and the physical # disk path for\",\n \"**kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return f(inst, connection_info, *args, **kwargs) return\",\n \"the right one, # as physical disk paths can get swapped after host\",\n \"self._is_block_dev: # We need the Msvm_DiskDrive resource path as this # will be\",\n \"WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the #\",\n \"strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\\\"Failed to\",\n \"language governing permissions and limitations # under the License. \\\"\\\"\\\" Management class for\",\n \"disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count + 1 while tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus) break\",\n \"CONF.hyperv.volume_attach_retry_count + 1 while tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus) break except Exception as\",\n \"physical disk paths can get swapped after host reboots. vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name)\",\n \"functions (attach, detach, etc). \\\"\\\"\\\" import time from os_brick.initiator import connector from os_win\",\n \"disk_path return disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def\",\n \"allocation units. return ( (no_bytes + constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE) @staticmethod def\",\n \"= (_LW('Got unsupported QoS specs: ' '%(unsupported_specs)s. ' 'Supported qos specs: %(supported_qos_specs)s') %\",\n \"unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev = True _protocol = None _extra_connector_args\",\n \"%(connection_info)s \\\" \\\"to instance %(instance_name)s. \\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise\",\n \"not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None,\",\n \"resource path as this # will be used when the disk is attached\",\n \"to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs = ['total_iops_sec',\",\n \"the License. \\\"\\\"\\\" Management class for Storage-related functions (attach, detach, etc). \\\"\\\"\\\" import\",\n \"resources with the volume # serial number, in order to be able to\",\n \"constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type') if driver_type not in self.volume_drivers:\",\n \"OF ANY KIND, either express or implied. See the # License for the\",\n \"strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug(\",\n \"controller for the vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching to the\",\n \"def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self, *args, **kwargs): #\",\n \"self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\\\"The\",\n \"LOG.debug( \\\"Attaching volume: %(connection_info)s to %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info)\",\n \"not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name): for vol\",\n \"*args, **kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return f(inst, connection_info, *args, **kwargs)\",\n \"= self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info)\",\n \"vm_disk in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def\",\n \"to be able to retrieve them # during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot,\",\n \"= self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\\\"The %(protocol)s Hyper-V volume\",\n \"paths for each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return # Mapping\",\n \"# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the\",\n \"disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial = connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot =\",\n \"disk_bus) qos_specs = connection_info['data'].get('qos_specs') or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info):\",\n \"class for Storage-related functions (attach, detach, etc). \\\"\\\"\\\" import time from os_brick.initiator import\",\n \"slot = 0 else: # Find the SCSI controller for the vm ctrller_path\",\n \"def detach_volume(self, connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\\\"Detaching disk %(disk_path)s \\\" \\\"from instance:\",\n \"need the Msvm_DiskDrive resource path as this # will be used when the\",\n \"self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name): LOG.debug(\\\"Detaching volume: %(connection_info)s \\\" \\\"from %(instance_name)s\\\", {'connection_info':\",\n \"% vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if self._is_block_dev: # We need the\",\n \"return wrapper def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\\\\\') @export_path_synchronized def attach_volume(self, *args, **kwargs):\",\n \"(the \\\"License\\\"); you may # not use this file except in compliance with\",\n \"tries_left: LOG.exception( _LE(\\\"Failed to attach volume %(connection_info)s \\\" \\\"to instance %(instance_name)s. \\\"), {'connection_info':\",\n \"disk resource path and the physical # disk path for each volume serial\",\n \"volume # serial number, in order to be able to retrieve them #\",\n \"= connection_info.get('driver_volume_type') if driver_type not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self,\",\n \"_protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst, connection_info, *args, **kwargs):\",\n \"constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst, connection_info, *args, **kwargs): export_path =\",\n \"resource may not be the right one, # as physical disk paths can\",\n \"Msvm_DiskDrive resource path as this # will be used when the disk is\",\n \"volume %(connection_info)s \\\" \\\"to instance %(instance_name)s. \\\" \\\"Tries left: %(tries_left)s.\\\"), {'connection_info': strutils.mask_dict_password( connection_info),\",\n \"disk_serial = connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return disk_path_mapping def get_disk_resource_path(self,\",\n \"actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut): the Windows\",\n \"self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut): the Windows os-brick connectors # do not\",\n \"# # Unless required by applicable law or agreed to in writing, software\",\n \"def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg = (_LW('Got unsupported\",\n \"self.connect_volume(connection_info) serial = connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if\",\n \"return conn def connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info\",\n \"self.get_disk_resource_path(connection_info) LOG.debug(\\\"Detaching disk %(disk_path)s \\\" \\\"from instance: %(instance_name)s\\\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev)\",\n \"self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] !=\",\n \"disk_number) else: disk_res_path = disk_path return disk_res_path def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info\",\n \"set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\\\"The %(protocol)s Hyper-V volume driver \\\" \\\"does not support QoS.\",\n \"total_bytes_sec)) if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec) class FCVolumeDriver(BaseVolumeDriver): _is_block_dev = True\",\n \"# Mapping containing the current disk paths for each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info)\",\n \"connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver\",\n \"inner(): return f(inst, connection_info, *args, **kwargs) return inner() return wrapper def _get_export_path(self, connection_info):\",\n \"increments) # as IOPS allocation units. return ( (no_bytes + constants.IOPS_BASE_SIZE - 1)\",\n \"associated with this resource may not be the right one, # as physical\",\n \"self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\\\"Failed to attach volume %(connection_info)s \\\"\",\n \"physical disk resources with the volume # serial number, in order to be\",\n \"number, in order to be able to retrieve them # during live migration.\",\n \"inner() return wrapper def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\\\\\') @export_path_synchronized def attach_volume(self, *args,\",\n \"logging from oslo_utils import strutils import nova.conf from nova import exception from nova.i18n\",\n \"import driver from nova.virt.hyperv import constants LOG = logging.getLogger(__name__) CONF = nova.conf.CONF class\",\n \"right one, # as physical disk paths can get swapped after host reboots.\",\n \"= self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: # We need to\",\n \"supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec =\",\n \"instance_name): LOG.debug(\\\"Detaching volume: %(connection_info)s \\\" \\\"from %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver\",\n \"self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self, *args, **kwargs): # We synchronize those operations based\",\n \"\\\" \\\"to instance %(instance_name)s. \\\" \\\"Tries left: %(tries_left)s.\\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name,\",\n \"connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \\\"Attaching volume: %(connection_info)s to %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name})\",\n \"\\\"\\\"\\\"Management class for Volume-related tasks \\\"\\\"\\\" def __init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device =\",\n \"CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args)\",\n \"attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count + 1 while tries_left: try: self._attach_volume(connection_info,\",\n \"dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs):\",\n \"int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path =\",\n \"disk path for each volume serial number. The physical path # associated with\",\n \"# associated with this resource may not be the right one, # as\",\n \"in mapping: connection_info = vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping\",\n \"strutils import nova.conf from nova import exception from nova.i18n import _, _LE, _LI,\",\n \"= vol['connection_info'] disk_serial = connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return disk_path_mapping\",\n \"nova import utils from nova.virt import driver from nova.virt.hyperv import constants LOG =\",\n \"License. You may obtain # a copy of the License at # #\",\n \"*args, **kwargs): # We synchronize those operations based on the share path in\",\n \"mapping: connection_info = vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping =\",\n \"the License is distributed on an \\\"AS IS\\\" BASIS, WITHOUT # WARRANTIES OR\",\n \"for the specific language governing permissions and limitations # under the License. \\\"\\\"\\\"\",\n \"\\\" \\\"from %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.detach_volume(connection_info, instance_name)\",\n \"instance_name, block_device_info): # Mapping containing the current disk paths for each volume. actual_disk_mapping\",\n \"self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io,\",\n \"Solutions Srl # All Rights Reserved. # # Licensed under the Apache License,\",\n \"if disk_bus == constants.CTRL_TYPE_IDE: # Find the IDE controller for the vm. ctrller_path\",\n \"Cloudbase Solutions Srl # All Rights Reserved. # # Licensed under the Apache\",\n \"disk %(disk_path)s \\\" \\\"from instance: %(instance_name)s\\\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self,\",\n \"except Exception as ex: tries_left -= 1 if not tries_left: LOG.exception( _LE(\\\"Failed to\",\n \"import constants LOG = logging.getLogger(__name__) CONF = nova.conf.CONF class VolumeOps(object): \\\"\\\"\\\"Management class for\",\n \"# do not use a root helper. conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io,\",\n \"ANY KIND, either express or implied. See the # License for the specific\",\n \"from nova.virt.hyperv import constants LOG = logging.getLogger(__name__) CONF = nova.conf.CONF class VolumeOps(object): \\\"\\\"\\\"Management\",\n \"def connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info = vol['connection_info']\",\n \"self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\\\"The %(protocol)s Hyper-V volume driver\",\n \"return ( (no_bytes + constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs):\",\n \"connection_info, *args, **kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return f(inst, connection_info, *args,\",\n \"(no_bytes + constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs =\",\n \"unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg = (_LW('Got unsupported QoS specs: '\",\n \"return self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name): for vol in volumes: self.attach_volume(vol['connection_info'], instance_name) def\",\n \"_is_block_dev = False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst,\",\n \"os_win import utilsfactory from oslo_log import log as logging from oslo_utils import strutils\",\n \"fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping containing the current disk paths for each volume.\",\n \"= self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def set_disk_qos_specs(self, connection_info, disk_qos_specs):\",\n \"if driver_type not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def attach_volumes(self, volumes, instance_name):\",\n \"virtual disk resource path and the physical # disk path for each volume\",\n \"the first slot slot = 0 else: # Find the SCSI controller for\",\n \"{} def __init__(self): self._conn = None self._diskutils = utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property\",\n \"import nova.conf from nova import exception from nova.i18n import _, _LE, _LI, _LW\",\n \"instance_name, disk_bus): if disk_bus == constants.CTRL_TYPE_IDE: # Find the IDE controller for the\",\n \"Management class for Storage-related functions (attach, detach, etc). \\\"\\\"\\\" import time from os_brick.initiator\",\n \"the share path in order to # avoid the situation when a SMB\",\n \"= int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path\",\n \"# avoid the situation when a SMB share is unmounted while a volume\",\n \"*args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self, *args, **kwargs): # We synchronize\",\n \"vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def set_disk_qos_specs(self,\",\n \"path for each volume serial number. The physical path # associated with this\",\n \"def _get_disk_res_path(self, disk_path): if self._is_block_dev: # We need the Msvm_DiskDrive resource path as\",\n \"disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path = disk_path return disk_res_path def attach_volume(self, connection_info,\",\n \"class VolumeOps(object): \\\"\\\"\\\"Management class for Volume-related tasks \\\"\\\"\\\" def __init__(self): self._vmutils = utilsfactory.get_vmutils()\",\n \"We need to tag physical disk resources with the volume # serial number,\",\n \"serial = connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev:\",\n \"if self._is_block_dev: # We need to tag physical disk resources with the volume\",\n \"*args, **kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev =\",\n \"# Copyright 2013 Cloudbase Solutions Srl # All Rights Reserved. # # Licensed\",\n \"'Supported qos specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev\",\n \"# during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path,\",\n \"# We synchronize those operations based on the share path in order to\",\n \"the situation when a SMB share is unmounted while a volume # exported\",\n \"volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info): volume_driver = self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name):\",\n \"volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized IOPS (8 KB increments) #\",\n \"disk_bus == constants.CTRL_TYPE_IDE: # Find the IDE controller for the vm. ctrller_path =\",\n \"instance_name) volume_driver.disconnect_volume(connection_info) def fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping containing the current disk paths\",\n \"able to retrieve them # during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial)\",\n \"instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path = disk_path\",\n \"vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching to the first slot slot\",\n \"return inner() return wrapper def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\\\\\') @export_path_synchronized def attach_volume(self,\",\n \"_, _LE, _LI, _LW from nova import utils from nova.virt import driver from\",\n \"vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut): the Windows os-brick connectors\",\n \"for vol in mapping: connection_info = vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self,\",\n \"# All Rights Reserved. # # Licensed under the Apache License, Version 2.0\",\n \"instance %(instance_name)s. \\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex)\",\n \"exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\\\"Failed to attach volume %(connection_info)s \\\" \\\"to instance\",\n \"# disk path for each volume serial number. The physical path # associated\",\n \"under the Apache License, Version 2.0 (the \\\"License\\\"); you may # not use\",\n \"else: # Find the SCSI controller for the vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name)\",\n \"WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See\",\n \"_get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus == constants.CTRL_TYPE_IDE: # Find the IDE controller for\",\n \"while tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus) break except Exception as ex: tries_left -=\",\n \"my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn def connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for\",\n \"reason=ex) else: LOG.warning( _LW(\\\"Failed to attach volume %(connection_info)s \\\" \\\"to instance %(instance_name)s. \\\"\",\n \"disk_path): if self._is_block_dev: # We need the Msvm_DiskDrive resource path as this #\",\n \"get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id = connection_info['serial'] err_msg =\",\n \"FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type') if driver_type not in self.volume_drivers: raise\",\n \"to be attached to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info, qos_specs):\",\n \"constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs)\",\n \"self._is_block_dev: # We need to tag physical disk resources with the volume #\",\n \"is attached to an instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number)\",\n \"current disk paths for each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return\",\n \"root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def\",\n \"__init__(self): self._conn = None self._diskutils = utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property def _connector(self):\",\n \"super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self, *args, **kwargs): # We synchronize those operations\",\n \"return f(inst, connection_info, *args, **kwargs) return inner() return wrapper def _get_export_path(self, connection_info): return\",\n \"nova.virt.hyperv import constants LOG = logging.getLogger(__name__) CONF = nova.conf.CONF class VolumeOps(object): \\\"\\\"\\\"Management class\",\n \"See the # License for the specific language governing permissions and limitations #\",\n \"to retrieve them # during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial) else:\",\n \"not be the right one, # as physical disk paths can get swapped\",\n \"tag physical disk resources with the volume # serial number, in order to\",\n \"on the share path in order to # avoid the situation when a\",\n \"not use a root helper. conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host)\",\n \"during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot)\",\n \"log as logging from oslo_utils import strutils import nova.conf from nova import exception\",\n \"is about to be attached to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self,\",\n \"mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count + 1 while\",\n \"connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: # We\",\n \"self._attach_volume(connection_info, instance_name, disk_bus) break except Exception as ex: tries_left -= 1 if not\",\n \"law or agreed to in writing, software # distributed under the License is\",\n \"instance_name): for vol in volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info)\",\n \"attached to an instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else:\",\n \"= self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs') or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info,\",\n \"Find the IDE controller for the vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0) #\",\n \"order to be able to retrieve them # during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path,\",\n \"LOG.exception( _LE(\\\"Failed to attach volume %(connection_info)s \\\" \\\"to instance %(instance_name)s. \\\"), {'connection_info': strutils.mask_dict_password(\",\n \"nova import exception from nova.i18n import _, _LE, _LI, _LW from nova import\",\n \"driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info = vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def\",\n \"express or implied. See the # License for the specific language governing permissions\",\n \"detach_volume(self, connection_info, instance_name): LOG.debug(\\\"Detaching volume: %(connection_info)s \\\" \\\"from %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name':\",\n \"actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut): the Windows os-brick connectors # do not use\",\n \"total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec)\",\n \"block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info = vol['connection_info'] volume_driver =\",\n \"an \\\"AS IS\\\" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either\",\n \"# a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"CONDITIONS OF ANY KIND, either express or implied. See the # License for\",\n \"\\\" \\\"to instance %(instance_name)s. \\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) self.disconnect_volume(connection_info) raise exception.VolumeAttachFailed(\",\n \"0) total_iops_sec = int(qos_specs.get('total_iops_sec') or VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path,\",\n \"= self.get_disk_resource_path(connection_info) LOG.debug(\\\"Detaching disk %(disk_path)s \\\" \\\"from instance: %(instance_name)s\\\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path,\",\n \"vol in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count +\",\n \"= connection_info['data'].get('qos_specs') or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info): volume_driver =\",\n \"= constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f): def wrapper(inst, connection_info, *args, **kwargs): export_path\",\n \"**kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def\",\n \"self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count + 1 while tries_left:\",\n \"{ constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type')\",\n \"for the vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching to the first\",\n \"initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args\",\n \"The physical path # associated with this resource may not be the right\",\n \"in block_mapping: connection_info = vol['connection_info'] disk_serial = connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] =\",\n \"constants LOG = logging.getLogger(__name__) CONF = nova.conf.CONF class VolumeOps(object): \\\"\\\"\\\"Management class for Volume-related\",\n \"disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): #\",\n \"to attach volume %(connection_info)s \\\" \\\"to instance %(instance_name)s. \\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name':\",\n \"each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return # Mapping containing virtual\",\n \"We synchronize those operations based on the share path in order to #\",\n \"constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type = connection_info.get('driver_volume_type') if\",\n \"QoS specs: ' '%(unsupported_specs)s. ' 'Supported qos specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs':\",\n \"\\\" \\\"does not support QoS. Ignoring QoS specs.\\\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev =\",\n \"NOTE(lpetrut): the Windows os-brick connectors # do not use a root helper. conn\",\n \"utils from nova.virt import driver from nova.virt.hyperv import constants LOG = logging.getLogger(__name__) CONF\",\n \"\\\" \\\"from instance: %(instance_name)s\\\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus):\",\n \"= dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol =\",\n \"= self.get_disk_path_mapping(block_device_info) if not actual_disk_mapping: return # Mapping containing virtual disk resource path\",\n \"vol in block_mapping: connection_info = vol['connection_info'] disk_serial = connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial]\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name, disk_bus): if disk_bus == constants.CTRL_TYPE_IDE: # Find the\",\n \"QoS. Ignoring QoS specs.\\\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver): _is_block_dev = True _protocol = constants.STORAGE_PROTOCOL_ISCSI\",\n \"one, # as physical disk paths can get swapped after host reboots. vm_disk_mapping\",\n \"# Find the SCSI controller for the vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot\",\n \"it is about to be attached to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"err_msg = _(\\\"Could not find disk path. Volume id: %s\\\") raise exception.DiskNotFound(err_msg %\",\n \"protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data'])\",\n \"= self._get_volume_driver(connection_info) volume_driver.disconnect_volume(connection_info) def detach_volume(self, connection_info, instance_name): LOG.debug(\\\"Detaching volume: %(connection_info)s \\\" \\\"from %(instance_name)s\\\",\",\n \"this resource may not be the right one, # as physical disk paths\",\n \"vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): #\",\n \"%(disk_path)s \\\" \\\"from instance: %(instance_name)s\\\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def _get_disk_ctrl_and_slot(self, instance_name,\",\n \"from nova.i18n import _, _LE, _LI, _LW from nova import utils from nova.virt\",\n \"def wrapper(inst, connection_info, *args, **kwargs): export_path = inst._get_export_path(connection_info) @utils.synchronized(export_path) def inner(): return f(inst,\",\n \"connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self, connection_info): self._connector.disconnect_volume(connection_info['data']) def get_disk_resource_path(self, connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data'])\",\n \"compliance with the License. You may obtain # a copy of the License\",\n \"migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def detach_volume(self,\",\n \"\\\"Tries left: %(tries_left)s.\\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self,\",\n \"number. The physical path # associated with this resource may not be the\",\n \"the vm ctrller_path = self._vmutils.get_vm_scsi_controller( instance_name) slot = self._vmutils.get_free_controller_slot(ctrller_path) return ctrller_path, slot def\",\n \"['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec = int(qos_specs.get('total_iops_sec') or\",\n \"{'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs')\",\n \"self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path = disk_path return disk_res_path def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI):\",\n \"an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec']\",\n \"= actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self): # NOTE(lpetrut): the\",\n \"IS\\\" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"def __init__(self): self._conn = None self._diskutils = utilsfactory.get_diskutils() self._vmutils = utilsfactory.get_vmutils() @property def\",\n \"import connector from os_win import utilsfactory from oslo_log import log as logging from\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in\",\n \"driver_type = connection_info.get('driver_volume_type') if driver_type not in self.volume_drivers: raise exception.VolumeDriverNotFound(driver_type=driver_type) return self.volume_drivers[driver_type] def\",\n \"disk_bus) if self._is_block_dev: # We need to tag physical disk resources with the\",\n \"'%(unsupported_specs)s. ' 'Supported qos specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class\",\n \"slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: # We need to tag physical disk\",\n \"vol in volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol\",\n \"helper. conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn def connect_volumes(self,\",\n \"with this resource may not be the right one, # as physical disk\",\n \"Mapping containing the current disk paths for each volume. actual_disk_mapping = self.get_disk_path_mapping(block_device_info) if\",\n \"scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return\",\n \"class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol = constants.STORAGE_PROTOCOL_SMBFS _extra_connector_args = dict(local_path_for_loopback=True) def export_path_synchronized(f):\",\n \"VolumeOps.bytes_per_sec_to_iops( total_bytes_sec)) if total_iops_sec: disk_path = self.get_disk_resource_path(connection_info) self._vmutils.set_disk_qos_specs(disk_path, total_iops_sec) class FCVolumeDriver(BaseVolumeDriver): _is_block_dev =\",\n \"= { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(), constants.STORAGE_PROTOCOL_ISCSI: ISCSIVolumeDriver(), constants.STORAGE_PROTOCOL_FC: FCVolumeDriver()} def _get_volume_driver(self, connection_info): driver_type =\",\n \"1) // constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs:\",\n \"volume_driver.attach_volume(connection_info, instance_name, disk_bus) qos_specs = connection_info['data'].get('qos_specs') or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def\",\n \"instance_name) def disconnect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: self.disconnect_volume(vol['connection_info']) def\",\n \"disk_path_mapping = {} for vol in block_mapping: connection_info = vol['connection_info'] disk_serial = connection_info['serial']\",\n \"synchronize those operations based on the share path in order to # avoid\",\n \"in order to # avoid the situation when a SMB share is unmounted\",\n \"connection_info): return connection_info['data']['export'].replace('/', '\\\\\\\\') @export_path_synchronized def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized\",\n \"be able to retrieve them # during live migration. self._vmutils.attach_volume_to_controller(instance_name, ctrller_path, slot, disk_path,\",\n \"import exception from nova.i18n import _, _LE, _LI, _LW from nova import utils\",\n \"'\\\\\\\\') @export_path_synchronized def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver, self).attach_volume(*args, **kwargs) @export_path_synchronized def disconnect_volume(self, *args,\",\n \"%(connection_info)s \\\" \\\"to instance %(instance_name)s. \\\" \\\"Tries left: %(tries_left)s.\\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name':\",\n \"( (no_bytes + constants.IOPS_BASE_SIZE - 1) // constants.IOPS_BASE_SIZE) @staticmethod def validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs\",\n \"return ctrller_path, slot def set_disk_qos_specs(self, connection_info, disk_qos_specs): LOG.info(_LI(\\\"The %(protocol)s Hyper-V volume driver \\\"\",\n \"True _protocol = None _extra_connector_args = {} def __init__(self): self._conn = None self._diskutils\",\n \"connection_info['serial'] err_msg = _(\\\"Could not find disk path. Volume id: %s\\\") raise exception.DiskNotFound(err_msg\",\n \"self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def detach_volume(self, connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\\\"Detaching disk\",\n \"may # not use this file except in compliance with the License. You\",\n \"import time from os_brick.initiator import connector from os_win import utilsfactory from oslo_log import\",\n \"def get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for vol in block_mapping:\",\n \"with the volume # serial number, in order to be able to retrieve\",\n \"volume driver \\\" \\\"does not support QoS. Ignoring QoS specs.\\\"), dict(protocol=self._protocol)) class ISCSIVolumeDriver(BaseVolumeDriver):\",\n \"either express or implied. See the # License for the specific language governing\",\n \"connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\\\"Detaching disk %(disk_path)s \\\" \\\"from instance: %(instance_name)s\\\", dict(disk_path=disk_path,\",\n \"self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args, **kwargs) class SMBFSVolumeDriver(BaseVolumeDriver): _is_block_dev = False _protocol\",\n \"# Find the IDE controller for the vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0)\",\n \"use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def connect_volume(self, connection_info): return self._connector.connect_volume(connection_info['data']) def disconnect_volume(self,\",\n \"situation when a SMB share is unmounted while a volume # exported by\",\n \"to an instance. disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path\",\n \"this file except in compliance with the License. You may obtain # a\",\n \"validate_qos_specs(qos_specs, supported_qos_specs): unsupported_specs = set(qos_specs.keys()).difference( supported_qos_specs) if unsupported_specs: msg = (_LW('Got unsupported QoS\",\n \"utilsfactory.get_vmutils() @property def _connector(self): if not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval\",\n \"Storage-related functions (attach, detach, etc). \\\"\\\"\\\" import time from os_brick.initiator import connector from\",\n \"detach, etc). \\\"\\\"\\\" import time from os_brick.initiator import connector from os_win import utilsfactory\",\n \"slot slot = 0 else: # Find the SCSI controller for the vm\",\n \"else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def detach_volume(self, connection_info, instance_name): disk_path = self.get_disk_resource_path(connection_info) LOG.debug(\\\"Detaching\",\n \"= self.connect_volume(connection_info) serial = connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus)\",\n \"_LW from nova import utils from nova.virt import driver from nova.virt.hyperv import constants\",\n \"or implied. See the # License for the specific language governing permissions and\",\n \"+ 1 while tries_left: try: self._attach_volume(connection_info, instance_name, disk_bus) break except Exception as ex:\",\n \"serial number. The physical path # associated with this resource may not be\",\n \"def __init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers = { constants.STORAGE_PROTOCOL_SMBFS: SMBFSVolumeDriver(),\",\n \"self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: # We need to tag\",\n \"instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs = ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs,\",\n \"else: disk_res_path = disk_path return disk_res_path def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info =\",\n \"for Storage-related functions (attach, detach, etc). \\\"\\\"\\\" import time from os_brick.initiator import connector\",\n \"KB increments) # as IOPS allocation units. return ( (no_bytes + constants.IOPS_BASE_SIZE -\",\n \"attach volume %(connection_info)s \\\" \\\"to instance %(instance_name)s. \\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name})\",\n \"self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if self._is_block_dev: # We need the Msvm_DiskDrive resource path\",\n \"<NAME> # Copyright 2013 Cloudbase Solutions Srl # All Rights Reserved. # #\",\n \"\\\"\\\"\\\" Management class for Storage-related functions (attach, detach, etc). \\\"\\\"\\\" import time from\",\n \"(attach, detach, etc). \\\"\\\"\\\" import time from os_brick.initiator import connector from os_win import\",\n \"block_mapping: connection_info = vol['connection_info'] disk_serial = connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path\",\n \"in order to be able to retrieve them # during live migration. self._vmutils.attach_volume_to_controller(instance_name,\",\n \"LOG.debug(\\\"Detaching disk %(disk_path)s \\\" \\\"from instance: %(instance_name)s\\\", dict(disk_path=disk_path, instance_name=instance_name)) self._vmutils.detach_vm_disk(instance_name, disk_path, is_physical=self._is_block_dev) def\",\n \"vm_disk_mapping = self._vmutils.get_vm_physical_disk_mapping( instance_name) for serial, vm_disk in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if\",\n \"def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): tries_left = CONF.hyperv.volume_attach_retry_count + 1 while tries_left: try:\",\n \"if not tries_left: LOG.exception( _LE(\\\"Failed to attach volume %(connection_info)s \\\" \\\"to instance %(instance_name)s.\",\n \"CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def\",\n \"vol['connection_info'] volume_driver = self._get_volume_driver(connection_info) volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping =\",\n \"those operations based on the share path in order to # avoid the\",\n \"disk path. Volume id: %s\\\") raise exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self,\",\n \"on an \\\"AS IS\\\" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND,\",\n \"in vm_disk_mapping.items(): actual_disk_path = actual_disk_mapping[serial] if vm_disk['mounted_disk_path'] != actual_disk_path: self._vmutils.set_disk_host_res(vm_disk['resource_path'], actual_disk_path) def get_volume_connector(self):\",\n \"supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev = True _protocol = None _extra_connector_args = {}\",\n \"mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI):\",\n \"IDE controller for the vm. ctrller_path = self._vmutils.get_vm_ide_controller( instance_name, 0) # Attaching to\",\n \"volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\\\"Failed to attach volume %(connection_info)s \\\" \\\"to instance %(instance_name)s.\",\n \"disconnect_volume(self, *args, **kwargs): # We synchronize those operations based on the share path\",\n \"tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval) def _attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): LOG.debug( \\\"Attaching volume: %(connection_info)s to %(instance_name)s\\\",\",\n \"from nova import exception from nova.i18n import _, _LE, _LI, _LW from nova\",\n \"instance_name, 0) # Attaching to the first slot slot = 0 else: #\",\n \"= ['total_iops_sec', 'total_bytes_sec'] VolumeOps.validate_qos_specs(qos_specs, supported_qos_specs) total_bytes_sec = int(qos_specs.get('total_bytes_sec') or 0) total_iops_sec = int(qos_specs.get('total_iops_sec')\",\n \"os-brick connectors # do not use a root helper. conn = connector.get_connector_properties( root_helper=None,\",\n \"disk_paths = self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id = connection_info['serial'] err_msg = _(\\\"Could not\",\n \"# We need the Msvm_DiskDrive resource path as this # will be used\",\n \"actual_disk_mapping: return # Mapping containing virtual disk resource path and the physical #\",\n \"dev_info = self.connect_volume(connection_info) serial = connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name,\",\n \"connection_info): disk_paths = self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id = connection_info['serial'] err_msg = _(\\\"Could\",\n \"volume: %(connection_info)s to %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info, instance_name,\",\n \"the physical # disk path for each volume serial number. The physical path\",\n \"exception.DiskNotFound(err_msg % vol_id) return self._get_disk_res_path(disk_paths[0]) def _get_disk_res_path(self, disk_path): if self._is_block_dev: # We need\",\n \"slot, disk_path, serial=serial) else: self._vmutils.attach_drive(instance_name, disk_path, ctrller_path, slot) def detach_volume(self, connection_info, instance_name): disk_path\",\n \"= self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized IOPS (8\",\n \"disk_bus): if disk_bus == constants.CTRL_TYPE_IDE: # Find the IDE controller for the vm.\",\n \"host=CONF.host) return conn def connect_volumes(self, block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping:\",\n \"self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info) return\",\n \"_protocol = constants.STORAGE_PROTOCOL_ISCSI def __init__(self, *args, **kwargs): self._extra_connector_args = dict( initiator_list=CONF.hyperv.iscsi_initiator_list) super(ISCSIVolumeDriver, self).__init__(*args,\",\n \"unsupported QoS specs: ' '%(unsupported_specs)s. ' 'Supported qos specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs,\",\n \"@export_path_synchronized def disconnect_volume(self, *args, **kwargs): # We synchronize those operations based on the\",\n \"%(instance_name)s. \\\" \\\"Tries left: %(tries_left)s.\\\"), {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name, 'tries_left': tries_left}) time.sleep(CONF.hyperv.volume_attach_retry_interval)\",\n \"from oslo_utils import strutils import nova.conf from nova import exception from nova.i18n import\",\n \"wrapper def _get_export_path(self, connection_info): return connection_info['data']['export'].replace('/', '\\\\\\\\') @export_path_synchronized def attach_volume(self, *args, **kwargs): super(SMBFSVolumeDriver,\",\n \"from os_brick.initiator import connector from os_win import utilsfactory from oslo_log import log as\",\n \"return disk_path_mapping def get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes):\",\n \"_extra_connector_args = {} def __init__(self): self._conn = None self._diskutils = utilsfactory.get_diskutils() self._vmutils =\",\n \"block_device_info): mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: self.disconnect_volume(vol['connection_info']) def attach_volume(self, connection_info, instance_name,\",\n \"volume_driver.connect_volume(connection_info) def get_disk_path_mapping(self, block_device_info): block_mapping = driver.block_device_info_get_mapping(block_device_info) disk_path_mapping = {} for vol in\",\n \"LOG.info(_LI(\\\"The %(protocol)s Hyper-V volume driver \\\" \\\"does not support QoS. Ignoring QoS specs.\\\"),\",\n \"nova.i18n import _, _LE, _LI, _LW from nova import utils from nova.virt import\",\n \"OR CONDITIONS OF ANY KIND, either express or implied. See the # License\",\n \"obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"Attaching to the first slot slot = 0 else: # Find the SCSI\",\n \"root helper. conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True, host=CONF.host) return conn def\",\n \"volumes, instance_name): for vol in volumes: self.attach_volume(vol['connection_info'], instance_name) def disconnect_volumes(self, block_device_info): mapping =\",\n \"1 if not tries_left: LOG.exception( _LE(\\\"Failed to attach volume %(connection_info)s \\\" \\\"to instance\",\n \"# Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); you may #\",\n \"self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: # We need to tag physical disk resources with\",\n \"= self._connector.get_volume_paths(connection_info['data']) if not disk_paths: vol_id = connection_info['serial'] err_msg = _(\\\"Could not find\",\n \"\\\"Attaching volume: %(connection_info)s to %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password(connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info) volume_driver.attach_volume(connection_info,\",\n \"= connection_info['serial'] disk_path = self._get_disk_res_path(dev_info['path']) ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: #\",\n \"**kwargs): # We synchronize those operations based on the share path in order\",\n \"ctrller_path, slot = self._get_disk_ctrl_and_slot(instance_name, disk_bus) if self._is_block_dev: # We need to tag physical\",\n \"unmounted while a volume # exported by it is about to be attached\",\n \"volume: %(connection_info)s \\\" \\\"from %(instance_name)s\\\", {'connection_info': strutils.mask_dict_password( connection_info), 'instance_name': instance_name}) volume_driver = self._get_volume_driver(connection_info)\",\n \"def fix_instance_volume_disk_paths(self, instance_name, block_device_info): # Mapping containing the current disk paths for each\",\n \"connection_info = vol['connection_info'] disk_serial = connection_info['serial'] disk_path = self.get_disk_resource_path(connection_info) disk_path_mapping[disk_serial] = disk_path return\",\n \"disk_number = self._diskutils.get_device_number_from_device_name( disk_path) disk_res_path = self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path = disk_path return\",\n \"2012 <NAME> # Copyright 2013 Cloudbase Solutions Srl # All Rights Reserved. #\",\n \"= self._vmutils.get_mounted_disk_by_drive_number( disk_number) else: disk_res_path = disk_path return disk_res_path def attach_volume(self, connection_info, instance_name,\",\n \"self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses normalized IOPS (8 KB\",\n \"qos_specs = connection_info['data'].get('qos_specs') or {} if qos_specs: volume_driver.set_disk_qos_specs(connection_info, qos_specs) def disconnect_volume(self, connection_info): volume_driver\",\n \"self._conn = connector.InitiatorConnector.factory( protocol=self._protocol, root_helper=None, use_multipath=CONF.hyperv.use_multipath_io, device_scan_attempts=scan_attempts, device_scan_interval=scan_interval, **self._extra_connector_args) return self._conn def connect_volume(self,\",\n \"**kwargs) @export_path_synchronized def disconnect_volume(self, *args, **kwargs): # We synchronize those operations based on\",\n \"do not use a root helper. conn = connector.get_connector_properties( root_helper=None, my_ip=CONF.my_block_storage_ip, multipath=CONF.hyperv.use_multipath_io, enforce_multipath=True,\",\n \"if not actual_disk_mapping: return # Mapping containing virtual disk resource path and the\",\n \"if not self._conn: scan_attempts = CONF.hyperv.mounted_disk_query_retry_count scan_interval = CONF.hyperv.mounted_disk_query_retry_interval self._conn = connector.InitiatorConnector.factory( protocol=self._protocol,\",\n \"specs: %(supported_qos_specs)s') % {'unsupported_specs': unsupported_specs, 'supported_qos_specs': supported_qos_specs}) LOG.warning(msg) class BaseVolumeDriver(object): _is_block_dev = True\",\n \"def attach_volume(self, connection_info, instance_name, disk_bus=constants.CTRL_TYPE_SCSI): dev_info = self.connect_volume(connection_info) serial = connection_info['serial'] disk_path =\",\n \"attached to an instance. super(SMBFSVolumeDriver, self).disconnect_volume(*args, **kwargs) def set_disk_qos_specs(self, connection_info, qos_specs): supported_qos_specs =\",\n \"Volume-related tasks \\\"\\\"\\\" def __init__(self): self._vmutils = utilsfactory.get_vmutils() self._default_root_device = 'vda' self.volume_drivers =\",\n \"# exported by it is about to be attached to an instance. super(SMBFSVolumeDriver,\",\n \"get_disk_resource_path(self, connection_info): volume_driver = self._get_volume_driver(connection_info) return volume_driver.get_disk_resource_path(connection_info) @staticmethod def bytes_per_sec_to_iops(no_bytes): # Hyper-v uses\"\n]","isConversational":false}}},{"rowIdx":1979,"cells":{"ngram":{"kind":"list like","value":["= banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] #","print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the mean value mean_values=loan_groupby.agg([np.mean]) print(mean_values)","'Self_Employed'], values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed'] == \"Yes\") &","pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed']","int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the mean","'object') print(categorical_var) numerical_var = bank.select_dtypes(include = 'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode =","columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the mean value mean_values=loan_groupby.agg([np.mean]) print(mean_values) #","print(categorical_var) numerical_var = bank.select_dtypes(include = 'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode = banks.mode()","= 'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum())","* 100 # loan amount term loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25])","from scipy.stats import mode # code starts here bank = pd.read_csv(path) categorical_var =","loan amount term loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show =","big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the mean value mean_values=loan_groupby.agg([np.mean])","& (banks['Loan_Status'] == \"Y\") ] percentage_se = (len(loan_approved_se) / 614) * 100 percentage_nse","\"Yes\") & (banks['Loan_Status'] == \"Y\") ] loan_approved_nse = banks[ (banks['Self_Employed'] == \"No\") &","bank_mode = banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'],","= (len(loan_approved_nse) / 614) * 100 # loan amount term loan_term = banks['Loan_Amount_Term'].apply(lambda","100 # loan amount term loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term)","percentage_se = (len(loan_approved_se) / 614) * 100 percentage_nse = (len(loan_approved_nse) / 614) *","banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount)","header files import numpy as np import pandas as pd from scipy.stats import","index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed'] ==","== \"Y\") ] percentage_se = (len(loan_approved_se) / 614) * 100 percentage_nse = (len(loan_approved_nse)","amount term loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome',","= banks[ (banks['Self_Employed'] == \"Yes\") & (banks['Loan_Status'] == \"Y\") ] loan_approved_nse = banks[","(len(loan_approved_se) / 614) * 100 percentage_nse = (len(loan_approved_nse) / 614) * 100 #","\"Y\") ] loan_approved_nse = banks[ (banks['Self_Employed'] == \"No\") & (banks['Loan_Status'] == \"Y\") ]","] percentage_se = (len(loan_approved_se) / 614) * 100 percentage_nse = (len(loan_approved_nse) / 614)","as np import pandas as pd from scipy.stats import mode # code starts","= 'mean') print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed'] == \"Yes\") & (banks['Loan_Status'] == \"Y\")","print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount =","== \"No\") & (banks['Loan_Status'] == \"Y\") ] percentage_se = (len(loan_approved_se) / 614) *","& (banks['Loan_Status'] == \"Y\") ] loan_approved_nse = banks[ (banks['Self_Employed'] == \"No\") & (banks['Loan_Status']","-------------- # Importing header files import numpy as np import pandas as pd","np import pandas as pd from scipy.stats import mode # code starts here","# Importing header files import numpy as np import pandas as pd from","term loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History']","loan_approved_se = banks[ (banks['Self_Employed'] == \"Yes\") & (banks['Loan_Status'] == \"Y\") ] loan_approved_nse =","x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the","= pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount) loan_approved_se = banks[","(banks['Loan_Status'] == \"Y\") ] loan_approved_nse = banks[ (banks['Self_Employed'] == \"No\") & (banks['Loan_Status'] ==","numpy as np import pandas as pd from scipy.stats import mode # code","pandas as pd from scipy.stats import mode # code starts here bank =","values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed'] == \"Yes\") & (banks['Loan_Status']","= banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount',","pd from scipy.stats import mode # code starts here bank = pd.read_csv(path) categorical_var","# code starts here bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object') print(categorical_var)","bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married',","categorical_var = bank.select_dtypes(include = 'object') print(categorical_var) numerical_var = bank.select_dtypes(include = 'number') print(numerical_var) banks","files import numpy as np import pandas as pd from scipy.stats import mode","print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount) loan_approved_se","= 'object') print(categorical_var) numerical_var = bank.select_dtypes(include = 'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode","here bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object') print(categorical_var) numerical_var = bank.select_dtypes(include","banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check","(banks['Loan_Status'] == \"Y\") ] percentage_se = (len(loan_approved_se) / 614) * 100 percentage_nse =","percentage_nse = (len(loan_approved_nse) / 614) * 100 # loan amount term loan_term =","* 100 percentage_nse = (len(loan_approved_nse) / 614) * 100 # loan amount term","614) * 100 # loan amount term loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 )","avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount) loan_approved_se =","loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show]","code starts here bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object') print(categorical_var) numerical_var","'mean') print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed'] == \"Yes\") & (banks['Loan_Status'] == \"Y\") ]","] loan_approved_nse = banks[ (banks['Self_Employed'] == \"No\") & (banks['Loan_Status'] == \"Y\") ] percentage_se","bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object') print(categorical_var) numerical_var = bank.select_dtypes(include =","'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount","= pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object') print(categorical_var) numerical_var = bank.select_dtypes(include = 'number')","(banks['Self_Employed'] == \"Yes\") & (banks['Loan_Status'] == \"Y\") ] loan_approved_nse = banks[ (banks['Self_Employed'] ==","100 percentage_nse = (len(loan_approved_nse) / 614) * 100 # loan amount term loan_term","['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the mean value mean_values=loan_groupby.agg([np.mean]) print(mean_values) # code ends","banks = bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks,","mode # code starts here bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object')","/ 614) * 100 percentage_nse = (len(loan_approved_nse) / 614) * 100 # loan","bank.select_dtypes(include = 'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks = banks.fillna(bank_mode.iloc[0])","import numpy as np import pandas as pd from scipy.stats import mode #","scipy.stats import mode # code starts here bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include","(len(loan_approved_nse) / 614) * 100 # loan amount term loan_term = banks['Loan_Amount_Term'].apply(lambda x:","= bank.select_dtypes(include = 'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks =","== \"Y\") ] loan_approved_nse = banks[ (banks['Self_Employed'] == \"No\") & (banks['Loan_Status'] == \"Y\")","numerical_var = bank.select_dtypes(include = 'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks","= (len(loan_approved_se) / 614) * 100 percentage_nse = (len(loan_approved_nse) / 614) * 100","aggfunc = 'mean') print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed'] == \"Yes\") & (banks['Loan_Status'] ==","banks[ (banks['Self_Employed'] == \"No\") & (banks['Loan_Status'] == \"Y\") ] percentage_se = (len(loan_approved_se) /","print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed'] == \"Yes\") & (banks['Loan_Status'] == \"Y\") ] loan_approved_nse","= banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc = 'mean')","banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc","import pandas as pd from scipy.stats import mode # code starts here bank","import mode # code starts here bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include =","= bank.select_dtypes(include = 'object') print(categorical_var) numerical_var = bank.select_dtypes(include = 'number') print(numerical_var) banks =","/ 614) * 100 # loan amount term loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12","as pd from scipy.stats import mode # code starts here bank = pd.read_csv(path)","# loan amount term loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show","'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the mean value mean_values=loan_groupby.agg([np.mean]) print(mean_values) # code ends here","(banks['Self_Employed'] == \"No\") & (banks['Loan_Status'] == \"Y\") ] percentage_se = (len(loan_approved_se) / 614)","== \"Yes\") & (banks['Loan_Status'] == \"Y\") ] loan_approved_nse = banks[ (banks['Self_Employed'] == \"No\")","\"Y\") ] percentage_se = (len(loan_approved_se) / 614) * 100 percentage_nse = (len(loan_approved_nse) /","= ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the mean value mean_values=loan_groupby.agg([np.mean]) print(mean_values) # code","614) * 100 percentage_nse = (len(loan_approved_nse) / 614) * 100 # loan amount","loan_approved_nse = banks[ (banks['Self_Employed'] == \"No\") & (banks['Loan_Status'] == \"Y\") ] percentage_se =","= banks[ (banks['Self_Employed'] == \"No\") & (banks['Loan_Status'] == \"Y\") ] percentage_se = (len(loan_approved_se)","= bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender',","\"No\") & (banks['Loan_Status'] == \"Y\") ] percentage_se = (len(loan_approved_se) / 614) * 100","starts here bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object') print(categorical_var) numerical_var =","pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object') print(categorical_var) numerical_var = bank.select_dtypes(include = 'number') print(numerical_var)","banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc =","bank.select_dtypes(include = 'object') print(categorical_var) numerical_var = bank.select_dtypes(include = 'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID'])",") big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the mean value","# -------------- # Importing header files import numpy as np import pandas as","'Married', 'Self_Employed'], values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed'] == \"Yes\")","Importing header files import numpy as np import pandas as pd from scipy.stats","banks[ (banks['Self_Employed'] == \"Yes\") & (banks['Loan_Status'] == \"Y\") ] loan_approved_nse = banks[ (banks['Self_Employed']"],"string":"[\n \"= banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] #\",\n \"print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the mean value mean_values=loan_groupby.agg([np.mean]) print(mean_values)\",\n \"'Self_Employed'], values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed'] == \\\"Yes\\\") &\",\n \"pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed']\",\n \"int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the mean\",\n \"'object') print(categorical_var) numerical_var = bank.select_dtypes(include = 'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode =\",\n \"columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the mean value mean_values=loan_groupby.agg([np.mean]) print(mean_values) #\",\n \"print(categorical_var) numerical_var = bank.select_dtypes(include = 'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode = banks.mode()\",\n \"= 'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum())\",\n \"* 100 # loan amount term loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25])\",\n \"from scipy.stats import mode # code starts here bank = pd.read_csv(path) categorical_var =\",\n \"loan amount term loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show =\",\n \"big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the mean value mean_values=loan_groupby.agg([np.mean])\",\n \"& (banks['Loan_Status'] == \\\"Y\\\") ] percentage_se = (len(loan_approved_se) / 614) * 100 percentage_nse\",\n \"\\\"Yes\\\") & (banks['Loan_Status'] == \\\"Y\\\") ] loan_approved_nse = banks[ (banks['Self_Employed'] == \\\"No\\\") &\",\n \"bank_mode = banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'],\",\n \"= (len(loan_approved_nse) / 614) * 100 # loan amount term loan_term = banks['Loan_Amount_Term'].apply(lambda\",\n \"100 # loan amount term loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term)\",\n \"percentage_se = (len(loan_approved_se) / 614) * 100 percentage_nse = (len(loan_approved_nse) / 614) *\",\n \"banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount)\",\n \"header files import numpy as np import pandas as pd from scipy.stats import\",\n \"index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed'] ==\",\n \"== \\\"Y\\\") ] percentage_se = (len(loan_approved_se) / 614) * 100 percentage_nse = (len(loan_approved_nse)\",\n \"amount term loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome',\",\n \"= banks[ (banks['Self_Employed'] == \\\"Yes\\\") & (banks['Loan_Status'] == \\\"Y\\\") ] loan_approved_nse = banks[\",\n \"(len(loan_approved_se) / 614) * 100 percentage_nse = (len(loan_approved_nse) / 614) * 100 #\",\n \"\\\"Y\\\") ] loan_approved_nse = banks[ (banks['Self_Employed'] == \\\"No\\\") & (banks['Loan_Status'] == \\\"Y\\\") ]\",\n \"] percentage_se = (len(loan_approved_se) / 614) * 100 percentage_nse = (len(loan_approved_nse) / 614)\",\n \"as np import pandas as pd from scipy.stats import mode # code starts\",\n \"= 'mean') print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed'] == \\\"Yes\\\") & (banks['Loan_Status'] == \\\"Y\\\")\",\n \"print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount =\",\n \"== \\\"No\\\") & (banks['Loan_Status'] == \\\"Y\\\") ] percentage_se = (len(loan_approved_se) / 614) *\",\n \"& (banks['Loan_Status'] == \\\"Y\\\") ] loan_approved_nse = banks[ (banks['Self_Employed'] == \\\"No\\\") & (banks['Loan_Status']\",\n \"-------------- # Importing header files import numpy as np import pandas as pd\",\n \"np import pandas as pd from scipy.stats import mode # code starts here\",\n \"# Importing header files import numpy as np import pandas as pd from\",\n \"term loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History']\",\n \"loan_approved_se = banks[ (banks['Self_Employed'] == \\\"Yes\\\") & (banks['Loan_Status'] == \\\"Y\\\") ] loan_approved_nse =\",\n \"x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the\",\n \"= pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount) loan_approved_se = banks[\",\n \"(banks['Loan_Status'] == \\\"Y\\\") ] loan_approved_nse = banks[ (banks['Self_Employed'] == \\\"No\\\") & (banks['Loan_Status'] ==\",\n \"numpy as np import pandas as pd from scipy.stats import mode # code\",\n \"pandas as pd from scipy.stats import mode # code starts here bank =\",\n \"values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed'] == \\\"Yes\\\") & (banks['Loan_Status']\",\n \"= banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount',\",\n \"pd from scipy.stats import mode # code starts here bank = pd.read_csv(path) categorical_var\",\n \"# code starts here bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object') print(categorical_var)\",\n \"bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married',\",\n \"categorical_var = bank.select_dtypes(include = 'object') print(categorical_var) numerical_var = bank.select_dtypes(include = 'number') print(numerical_var) banks\",\n \"files import numpy as np import pandas as pd from scipy.stats import mode\",\n \"print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount) loan_approved_se\",\n \"= 'object') print(categorical_var) numerical_var = bank.select_dtypes(include = 'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode\",\n \"here bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object') print(categorical_var) numerical_var = bank.select_dtypes(include\",\n \"banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check\",\n \"(banks['Loan_Status'] == \\\"Y\\\") ] percentage_se = (len(loan_approved_se) / 614) * 100 percentage_nse =\",\n \"percentage_nse = (len(loan_approved_nse) / 614) * 100 # loan amount term loan_term =\",\n \"* 100 percentage_nse = (len(loan_approved_nse) / 614) * 100 # loan amount term\",\n \"614) * 100 # loan amount term loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 )\",\n \"avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount) loan_approved_se =\",\n \"loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show]\",\n \"code starts here bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object') print(categorical_var) numerical_var\",\n \"'mean') print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed'] == \\\"Yes\\\") & (banks['Loan_Status'] == \\\"Y\\\") ]\",\n \"] loan_approved_nse = banks[ (banks['Self_Employed'] == \\\"No\\\") & (banks['Loan_Status'] == \\\"Y\\\") ] percentage_se\",\n \"bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object') print(categorical_var) numerical_var = bank.select_dtypes(include =\",\n \"'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount\",\n \"= pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object') print(categorical_var) numerical_var = bank.select_dtypes(include = 'number')\",\n \"(banks['Self_Employed'] == \\\"Yes\\\") & (banks['Loan_Status'] == \\\"Y\\\") ] loan_approved_nse = banks[ (banks['Self_Employed'] ==\",\n \"100 percentage_nse = (len(loan_approved_nse) / 614) * 100 # loan amount term loan_term\",\n \"['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the mean value mean_values=loan_groupby.agg([np.mean]) print(mean_values) # code ends\",\n \"banks = bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks,\",\n \"mode # code starts here bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object')\",\n \"/ 614) * 100 percentage_nse = (len(loan_approved_nse) / 614) * 100 # loan\",\n \"bank.select_dtypes(include = 'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks = banks.fillna(bank_mode.iloc[0])\",\n \"import numpy as np import pandas as pd from scipy.stats import mode #\",\n \"scipy.stats import mode # code starts here bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include\",\n \"(len(loan_approved_nse) / 614) * 100 # loan amount term loan_term = banks['Loan_Amount_Term'].apply(lambda x:\",\n \"= bank.select_dtypes(include = 'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks =\",\n \"== \\\"Y\\\") ] loan_approved_nse = banks[ (banks['Self_Employed'] == \\\"No\\\") & (banks['Loan_Status'] == \\\"Y\\\")\",\n \"numerical_var = bank.select_dtypes(include = 'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks\",\n \"= (len(loan_approved_se) / 614) * 100 percentage_nse = (len(loan_approved_nse) / 614) * 100\",\n \"aggfunc = 'mean') print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed'] == \\\"Yes\\\") & (banks['Loan_Status'] ==\",\n \"banks[ (banks['Self_Employed'] == \\\"No\\\") & (banks['Loan_Status'] == \\\"Y\\\") ] percentage_se = (len(loan_approved_se) /\",\n \"print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed'] == \\\"Yes\\\") & (banks['Loan_Status'] == \\\"Y\\\") ] loan_approved_nse\",\n \"= banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc = 'mean')\",\n \"banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc\",\n \"import pandas as pd from scipy.stats import mode # code starts here bank\",\n \"import mode # code starts here bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include =\",\n \"= bank.select_dtypes(include = 'object') print(categorical_var) numerical_var = bank.select_dtypes(include = 'number') print(numerical_var) banks =\",\n \"/ 614) * 100 # loan amount term loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12\",\n \"as pd from scipy.stats import mode # code starts here bank = pd.read_csv(path)\",\n \"# loan amount term loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show\",\n \"'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the mean value mean_values=loan_groupby.agg([np.mean]) print(mean_values) # code ends here\",\n \"(banks['Self_Employed'] == \\\"No\\\") & (banks['Loan_Status'] == \\\"Y\\\") ] percentage_se = (len(loan_approved_se) / 614)\",\n \"== \\\"Yes\\\") & (banks['Loan_Status'] == \\\"Y\\\") ] loan_approved_nse = banks[ (banks['Self_Employed'] == \\\"No\\\")\",\n \"\\\"Y\\\") ] percentage_se = (len(loan_approved_se) / 614) * 100 percentage_nse = (len(loan_approved_nse) /\",\n \"= ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the mean value mean_values=loan_groupby.agg([np.mean]) print(mean_values) # code\",\n \"614) * 100 percentage_nse = (len(loan_approved_nse) / 614) * 100 # loan amount\",\n \"loan_approved_nse = banks[ (banks['Self_Employed'] == \\\"No\\\") & (banks['Loan_Status'] == \\\"Y\\\") ] percentage_se =\",\n \"= banks[ (banks['Self_Employed'] == \\\"No\\\") & (banks['Loan_Status'] == \\\"Y\\\") ] percentage_se = (len(loan_approved_se)\",\n \"= bank.drop(columns=['Loan_ID']) bank_mode = banks.mode() banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender',\",\n \"\\\"No\\\") & (banks['Loan_Status'] == \\\"Y\\\") ] percentage_se = (len(loan_approved_se) / 614) * 100\",\n \"starts here bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object') print(categorical_var) numerical_var =\",\n \"pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object') print(categorical_var) numerical_var = bank.select_dtypes(include = 'number') print(numerical_var)\",\n \"banks = banks.fillna(bank_mode.iloc[0]) print(banks.isnull().sum()) avg_loan_amount = pd.pivot_table(banks, index=['Gender', 'Married', 'Self_Employed'], values='LoanAmount', aggfunc =\",\n \"bank.select_dtypes(include = 'object') print(categorical_var) numerical_var = bank.select_dtypes(include = 'number') print(numerical_var) banks = bank.drop(columns=['Loan_ID'])\",\n \") big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] # Check the mean value\",\n \"# -------------- # Importing header files import numpy as np import pandas as\",\n \"'Married', 'Self_Employed'], values='LoanAmount', aggfunc = 'mean') print(avg_loan_amount) loan_approved_se = banks[ (banks['Self_Employed'] == \\\"Yes\\\")\",\n \"Importing header files import numpy as np import pandas as pd from scipy.stats\",\n \"banks[ (banks['Self_Employed'] == \\\"Yes\\\") & (banks['Loan_Status'] == \\\"Y\\\") ] loan_approved_nse = banks[ (banks['Self_Employed']\"\n]","isConversational":false}}},{"rowIdx":1980,"cells":{"ngram":{"kind":"list like","value":["model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps'])","cms_loss /= n_word loss = cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad,","512, opt['warm_up_steps']) # note: though we set the init learning rate as np.power(d_model,","GPU. if opt['cuda']: torch.cuda.synchronize() iteration += 1 if iteration % opt['print_loss_every'] ==0: print('iter","f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n' % (epoch, cap_train_loss, cms_train_loss)) f.write('\\n %s \\n %s'","% opt['save_checkpoint_every'] == 0: # save the checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'],","# number of parameters model_parameters = filter(lambda p: p.requires_grad, model.parameters()) params = sum([np.prod(p.size())","= %.6f, cms_train_loss = %.6f,' ' current step = %d, current lr =","is not the goal of this work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:,","dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms']","cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) #","to %s' % model_path) with open(opt['model_info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss:","' current step = %d, current lr = %.3E, cap_acc = %.3f, cms_acc","model.S2VTModel import S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\"dim_model\"], opt[\"dim_word\"], opt['dim_vis_feat'],","= model(fc_feats, cap_labels, cms_labels) # note: currently we just used most naive cross-entropy","cross-entropy as training objective, # advanced loss func. like SELF-CRIT, different loss weights","f.write('\\n %s \\n %s' % (cms_pr, cms_gt)) f.write('\\n') if epoch % opt['save_checkpoint_every'] ==","batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms'] == 'int': cms_text_length","checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch))","cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the intermediate generations if opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs,","indicated if opt['load_checkpoint'] and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict)","import torch.optim as optim from model.Model import Model from torch.utils.data import DataLoader from","'int': cms_labels = data['int_labels'] elif opt['cms'] == 'eff': cms_labels = data['eff_labels'] else: cms_labels","smoothing=True) # compute the token prediction Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word =","# model initialization. from model.S2VTModel import S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'],","cms_labels[:, 1:], smoothing=True) # compute the token prediction Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD)","with open(info_path, 'a') as f: f.write(str(model)) f.write('\\n') f.write(str(params)) f.write('\\n') # log file directory","= model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos) cap_probs, _, cms_probs, _ = model(fc_feats, cap_labels,","cap_loss: %.6f, cms_loss: %.6f\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): # load and","+= 1 if iteration % opt['print_loss_every'] ==0: print('iter %d (epoch %d), cap_train_loss =","{}'.format(params)) if opt['cuda']: model = model.cuda() # resume from previous checkpoint if indicated","= ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps']) # note: though","f.write('\\n') # log file directory opt['output_dir'] = dir opt['info_path'] = info_path opt['model_info_path'] =","as f: f.write(str(model)) f.write('\\n') f.write(str(params)) f.write('\\n') # log file directory opt['output_dir'] = dir","though we set the init learning rate as np.power(d_model, -0.5), # grid search","single GPU. if opt['cuda']: torch.cuda.synchronize() iteration += 1 if iteration % opt['print_loss_every'] ==0:","cms_probs = model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos) cap_probs, _, cms_probs, _ = model(fc_feats,","% (epoch, cap_train_loss, cms_train_loss)) f.write('\\n %s \\n %s' % (cap_pr, cap_gt)) f.write('\\n %s","{}'.format(info_path, str(model))) with open(info_path, 'a') as f: f.write(str(model)) f.write('\\n') f.write(str(params)) f.write('\\n') # log","dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ == '__main__': opt = parse_opt() opt = vars(opt) main(opt)","cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss","f.write('\\n %s \\n %s' % (cap_pr, cap_gt)) f.write('\\n %s \\n %s' % (cms_pr,","p.requires_grad, model.parameters()), 1) # update parameters cap_train_loss = cap_loss.item() cms_train_loss = cms_loss.item() #","model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps']) #","as optim from model.Model import Model from torch.utils.data import DataLoader from utils.dataloader import","as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n' % (epoch, cap_train_loss, cms_train_loss)) f.write('\\n %s","model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ == '__main__': opt = parse_opt() opt","cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss /= n_word loss = cms_loss + cap_loss loss.backward()","V2C captioning task. ''' __author__ = '<NAME>' import os import numpy as np","the token prediction Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask =","cms_text_length = opt['eff_max_len'] else: cms_text_length = opt['att_max_len'] # model initialization. from model.S2VTModel import","epoch)) torch.save(model.state_dict(), model_path) print('model saved to %s' % model_path) with open(opt['model_info_path'], 'a') as","cap_loss: %.6f, cms_loss: %.6f\\n' % (epoch, cap_train_loss, cms_train_loss)) f.write('\\n %s \\n %s' %","dataset.get_cap_vocab_size() if opt['cms'] == 'int': cms_text_length = opt['int_max_len'] elif opt['cms'] == 'eff': cms_text_length","iteration % opt['print_loss_every'] ==0: print('iter %d (epoch %d), cap_train_loss = %.6f, cms_train_loss =","1 if iteration % opt['print_loss_every'] ==0: print('iter %d (epoch %d), cap_train_loss = %.6f,","%d (epoch %d), cap_train_loss = %.6f, cms_train_loss = %.6f,' ' current step =","f.write(str(model)) f.write('\\n') f.write(str(params)) f.write('\\n') # log file directory opt['output_dir'] = dir opt['info_path'] =","opt['cuda']: torch.cuda.synchronize() iteration += 1 if iteration % opt['print_loss_every'] ==0: print('iter %d (epoch","% model_path) with open(opt['model_info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n' %","model.parameters()) params = sum([np.prod(p.size()) for p in model_parameters]) print('number of learnable parameters are","torch.utils.data import DataLoader from utils.dataloader import VideoDataset from model.transformer.Optim import ScheduledOptim def train(loader,","or stronger video feature # may lead performance boost, however is not the","data in loader: torch.cuda.synchronize() if opt['cms'] == 'int': cms_labels = data['int_labels'] elif opt['cms']","weights or stronger video feature # may lead performance boost, however is not","# cap_probs, cms_probs = model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos) cap_probs, _, cms_probs, _","cms_loss.item() # multi-gpu case, not necessary in newer PyTorch version or on single","sum([np.prod(p.size()) for p in model_parameters]) print('number of learnable parameters are {}'.format(params)) if opt['cuda']:","/= n_word loss = cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()),","cms_labels = data['att_labels'] if opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels =","cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the intermediate generations if opt['show_predict']:","n_word = non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss /= n_word","%s \\n %s' % (cms_pr, cms_gt)) f.write('\\n') if epoch % opt['save_checkpoint_every'] == 0:","opt[\"dim_model\"], opt[\"dim_word\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of parameters model_parameters = filter(lambda p: p.requires_grad,","optim from model.Model import Model from torch.utils.data import DataLoader from utils.dataloader import VideoDataset","cms_n_word = cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss /= n_word loss = cms_loss +","loss = cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1) #","-0.5), # grid search indicates different LR may improve the results. opt['init_lr'] =","used most naive cross-entropy as training objective, # advanced loss func. like SELF-CRIT,","on single GPU. if opt['cuda']: torch.cuda.synchronize() iteration += 1 if iteration % opt['print_loss_every']","= filter(lambda p: p.requires_grad, model.parameters()) params = sum([np.prod(p.size()) for p in model_parameters]) print('number","%.6f, cms_loss: %.6f\\n' % (epoch, cap_train_loss, cms_train_loss)) f.write('\\n %s \\n %s' % (cap_pr,","we set the init learning rate as np.power(d_model, -0.5), # grid search indicates","cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) # compute","cap_vocab, cms_vocab): model.train() for epoch in range(opt['epochs']): iteration = 0 for data in","round(optimizer.init_lr, 3) # create checkpoint output directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'],","smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) # compute the token","= opt['eff_max_len'] else: cms_text_length = opt['att_max_len'] # model initialization. from model.S2VTModel import S2VTModel","caption=True) cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False) print(' \\n') with open(opt['info_path'],","opt['output_dir'] = dir opt['info_path'] = info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer,","step = %d, current lr = %.3E, cap_acc = %.3f, cms_acc = %.3f'","'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir) #","opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir) # save the","optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps']) # note:","if opt['cms'] == 'int': cms_labels = data['int_labels'] elif opt['cms'] == 'eff': cms_labels =","may improve the results. opt['init_lr'] = round(optimizer.init_lr, 3) # create checkpoint output directory","checkpoint output directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'],","utils.utils import * import torch.optim as optim from model.Model import Model from torch.utils.data","== 'eff': cms_labels = data['eff_labels'] else: cms_labels = data['att_labels'] if opt['cuda']: fc_feats =","the init learning rate as np.power(d_model, -0.5), # grid search indicates different LR","= os.path.join(dir, 'iteration_info_log.log') print('model architecture saved to {} \\n {}'.format(info_path, str(model))) with open(info_path,","def main(opt): # load and define dataloader dataset = VideoDataset(opt, 'train') dataloader =","intermediate generations if opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True) cms_pr,","cap_gt)) f.write('\\n %s \\n %s' % (cms_pr, cms_gt)) f.write('\\n') if epoch % opt['save_checkpoint_every']","# resume from previous checkpoint if indicated if opt['load_checkpoint'] and opt['resume']: cap_state_dict =","save the model snapshot to local info_path = os.path.join(dir, 'iteration_info_log.log') print('model architecture saved","opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model saved to %s' %","os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir)","log file directory opt['output_dir'] = dir opt['info_path'] = info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log')","''' Training Scropt for V2C captioning task. ''' __author__ = '<NAME>' import os","# grid search indicates different LR may improve the results. opt['init_lr'] = round(optimizer.init_lr,","'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model saved","opts import * from utils.utils import * import torch.optim as optim from model.Model","opt['warm_up_steps']) # note: though we set the init learning rate as np.power(d_model, -0.5),","%.6f\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): # load and define dataloader dataset","model initialization. from model.S2VTModel import S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length,","= cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs = model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos) cap_probs,","newer PyTorch version or on single GPU. if opt['cuda']: torch.cuda.synchronize() iteration += 1","+ cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1) # update parameters cap_train_loss","print(' \\n') with open(opt['info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n' %","%s' % (cms_pr, cms_gt)) f.write('\\n') if epoch % opt['save_checkpoint_every'] == 0: # save","0: # save the checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'],","os.path.exists(dir): os.makedirs(dir) # save the model snapshot to local info_path = os.path.join(dir, 'iteration_info_log.log')","S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\"dim_model\"], opt[\"dim_word\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of parameters","SELF-CRIT, different loss weights or stronger video feature # may lead performance boost,","p: p.requires_grad, model.parameters()), 1) # update parameters cap_train_loss = cap_loss.item() cms_train_loss = cms_loss.item()","the results. opt['init_lr'] = round(optimizer.init_lr, 3) # create checkpoint output directory dir =","directory opt['output_dir'] = dir opt['info_path'] = info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model,","= cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss /= n_word loss","n_word cms_loss /= n_word loss = cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p:","opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir) # save the model","0 for data in loader: torch.cuda.synchronize() if opt['cms'] == 'int': cms_labels = data['int_labels']","loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1) # update parameters cap_train_loss = cap_loss.item()","cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) # compute the token prediction","different loss weights or stronger video feature # may lead performance boost, however","= dataset.get_cap_vocab_size() if opt['cms'] == 'int': cms_text_length = opt['int_max_len'] elif opt['cms'] == 'eff':","# compute the token prediction Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item()","= %.6f,' ' current step = %d, current lr = %.3E, cap_acc =","* from utils.utils import * import torch.optim as optim from model.Model import Model","'int': cms_text_length = opt['int_max_len'] elif opt['cms'] == 'eff': cms_text_length = opt['eff_max_len'] else: cms_text_length","objective, # advanced loss func. like SELF-CRIT, different loss weights or stronger video","cms_train_loss)) f.write('\\n %s \\n %s' % (cap_pr, cap_gt)) f.write('\\n %s \\n %s' %","local info_path = os.path.join(dir, 'iteration_info_log.log') print('model architecture saved to {} \\n {}'.format(info_path, str(model)))","# show the intermediate generations if opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:, :-1],","f.write('\\n') if epoch % opt['save_checkpoint_every'] == 0: # save the checkpoint model_path =","if indicated if opt['load_checkpoint'] and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict)","if opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad() #","define dataloader dataset = VideoDataset(opt, 'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] =","cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs = model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos) cap_probs, _,","os.makedirs(dir) # save the model snapshot to local info_path = os.path.join(dir, 'iteration_info_log.log') print('model","cms_labels = data['eff_labels'] else: cms_labels = data['att_labels'] if opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels","utils.dataloader import VideoDataset from model.transformer.Optim import ScheduledOptim def train(loader, model, optimizer, opt, cap_vocab,","%.6f,' ' current step = %d, current lr = %.3E, cap_acc = %.3f,","= model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09),","def train(loader, model, optimizer, opt, cap_vocab, cms_vocab): model.train() for epoch in range(opt['epochs']): iteration","current step = %d, current lr = %.3E, cap_acc = %.3f, cms_acc =","cap_pos, cms_labels, cms_pos) cap_probs, _, cms_probs, _ = model(fc_feats, cap_labels, cms_labels) # note:","f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): #","the intermediate generations if opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True)","from previous checkpoint if indicated if opt['load_checkpoint'] and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict","{} \\n {}'.format(info_path, str(model))) with open(info_path, 'a') as f: f.write(str(model)) f.write('\\n') f.write(str(params)) f.write('\\n')","str(model))) with open(info_path, 'a') as f: f.write(str(model)) f.write('\\n') f.write(str(params)) f.write('\\n') # log file","update parameters cap_train_loss = cap_loss.item() cms_train_loss = cms_loss.item() # multi-gpu case, not necessary","f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n' % (epoch, cap_train_loss, cms_train_loss)) f.write('\\n %s \\n","torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1) # update parameters cap_train_loss = cap_loss.item() cms_train_loss =","output directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer']))","%.6f, cms_train_loss = %.6f,' ' current step = %d, current lr = %.3E,",":-1], cms_vocab, caption=False) print(' \\n') with open(opt['info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f,","= model.cuda() # resume from previous checkpoint if indicated if opt['load_checkpoint'] and opt['resume']:","dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms'] == 'int': cms_text_length = opt['int_max_len'] elif opt['cms']","__author__ = '<NAME>' import os import numpy as np from opts import *","= %.3f, cms_acc = %.3f' % (iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word,","cms_n_correct/cms_n_word)) # show the intermediate generations if opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:,","= show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True) cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab,","opt['info_path'] = info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab())","from torch.utils.data import DataLoader from utils.dataloader import VideoDataset from model.transformer.Optim import ScheduledOptim def","cms_train_loss = cms_loss.item() # multi-gpu case, not necessary in newer PyTorch version or","cms_train_loss/n_word)) def main(opt): # load and define dataloader dataset = VideoDataset(opt, 'train') dataloader","= cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) # compute the token prediction Acc. non_pad_mask","improve the results. opt['init_lr'] = round(optimizer.init_lr, 3) # create checkpoint output directory dir","to {} \\n {}'.format(info_path, str(model))) with open(info_path, 'a') as f: f.write(str(model)) f.write('\\n') f.write(str(params))","x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps']) # note: though we set the","not necessary in newer PyTorch version or on single GPU. if opt['cuda']: torch.cuda.synchronize()","results. opt['init_lr'] = round(optimizer.init_lr, 3) # create checkpoint output directory dir = os.path.join(opt['checkpoint_path'],","indicates different LR may improve the results. opt['init_lr'] = round(optimizer.init_lr, 3) # create","opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir) # save the model snapshot to local info_path","not os.path.exists(dir): os.makedirs(dir) # save the model snapshot to local info_path = os.path.join(dir,","os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model","cms_labels = cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs = model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos)","else: cms_text_length = opt['att_max_len'] # model initialization. from model.S2VTModel import S2VTModel model =","# save the model snapshot to local info_path = os.path.join(dir, 'iteration_info_log.log') print('model architecture","optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the intermediate generations if opt['show_predict']: cap_pr, cap_gt =","main(opt): # load and define dataloader dataset = VideoDataset(opt, 'train') dataloader = DataLoader(dataset,","model.parameters()), 1) # update parameters cap_train_loss = cap_loss.item() cms_train_loss = cms_loss.item() # multi-gpu","= data['int_labels'] elif opt['cms'] == 'eff': cms_labels = data['eff_labels'] else: cms_labels = data['att_labels']","* import torch.optim as optim from model.Model import Model from torch.utils.data import DataLoader","'iteration_info_log.log') print('model architecture saved to {} \\n {}'.format(info_path, str(model))) with open(info_path, 'a') as","import Model from torch.utils.data import DataLoader from utils.dataloader import VideoDataset from model.transformer.Optim import","elif opt['cms'] == 'eff': cms_text_length = opt['eff_max_len'] else: cms_text_length = opt['att_max_len'] # model","f.write(str(params)) f.write('\\n') # log file directory opt['output_dir'] = dir opt['info_path'] = info_path opt['model_info_path']","cap_train_loss, cms_train_loss)) f.write('\\n %s \\n %s' % (cap_pr, cap_gt)) f.write('\\n %s \\n %s'","captioning task. ''' __author__ = '<NAME>' import os import numpy as np from",".format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model saved to","from model.S2VTModel import S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\"dim_model\"], opt[\"dim_word\"],",":-1], cap_vocab, caption=True) cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False) print(' \\n')","the model snapshot to local info_path = os.path.join(dir, 'iteration_info_log.log') print('model architecture saved to","opt['cms'] == 'int': cms_labels = data['int_labels'] elif opt['cms'] == 'eff': cms_labels = data['eff_labels']","open(opt['model_info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word))","print('model saved to %s' % model_path) with open(opt['model_info_path'], 'a') as f: f.write('model_%d, cap_loss:","model(fc_feats, cap_labels, cms_labels) # note: currently we just used most naive cross-entropy as","from model.Model import Model from torch.utils.data import DataLoader from utils.dataloader import VideoDataset from","# load and define dataloader dataset = VideoDataset(opt, 'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'],","if opt['load_checkpoint'] and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer","(epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): # load and define dataloader dataset = VideoDataset(opt,","== 'int': cms_labels = data['int_labels'] elif opt['cms'] == 'eff': cms_labels = data['eff_labels'] else:","import VideoDataset from model.transformer.Optim import ScheduledOptim def train(loader, model, optimizer, opt, cap_vocab, cms_vocab):","opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir) # save the model snapshot to","and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda","= os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir):","optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ == '__main__': opt = parse_opt() opt =","this work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct =","feature # may lead performance boost, however is not the goal of this","in loader: torch.cuda.synchronize() if opt['cms'] == 'int': cms_labels = data['int_labels'] elif opt['cms'] ==","cms_acc = %.3f' % (iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) #","= cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item()","import S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\"dim_model\"], opt[\"dim_word\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer'])","# create checkpoint output directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'],","cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1) # update parameters","= sum([np.prod(p.size()) for p in model_parameters]) print('number of learnable parameters are {}'.format(params)) if","epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the intermediate generations if","%.3f, cms_acc = %.3f' % (iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word))","open(info_path, 'a') as f: f.write(str(model)) f.write('\\n') f.write(str(params)) f.write('\\n') # log file directory opt['output_dir']","betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps']) # note: though we set the init learning","cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss /= n_word","opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ ==","%s' % (cap_pr, cap_gt)) f.write('\\n %s \\n %s' % (cms_pr, cms_gt)) f.write('\\n') if","dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\"dim_model\"], opt[\"dim_word\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of parameters model_parameters","= data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs = model(fc_feats, cap_labels, cap_pos,","cms_pos) cap_probs, _, cms_probs, _ = model(fc_feats, cap_labels, cms_labels) # note: currently we","file directory opt['output_dir'] = dir opt['info_path'] = info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader,","\\n {}'.format(info_path, str(model))) with open(info_path, 'a') as f: f.write(str(model)) f.write('\\n') f.write(str(params)) f.write('\\n') #","opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir) # save the model snapshot to local","for V2C captioning task. ''' __author__ = '<NAME>' import os import numpy as","opt['cap_max_len'], cms_text_length, opt[\"dim_model\"], opt[\"dim_word\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of parameters model_parameters = filter(lambda","architecture saved to {} \\n {}'.format(info_path, str(model))) with open(info_path, 'a') as f: f.write(str(model))","loss func. like SELF-CRIT, different loss weights or stronger video feature # may","different LR may improve the results. opt['init_lr'] = round(optimizer.init_lr, 3) # create checkpoint","opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms'] == 'int': cms_text_length = opt['int_max_len']","opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model saved to %s' % model_path)","cms_text_length = opt['int_max_len'] elif opt['cms'] == 'eff': cms_text_length = opt['eff_max_len'] else: cms_text_length =","model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(),","# log file directory opt['output_dir'] = dir opt['info_path'] = info_path opt['model_info_path'] = os.path.join(opt['output_dir'],","cms_labels, cms_pos) cap_probs, _, cms_probs, _ = model(fc_feats, cap_labels, cms_labels) # note: currently","lead performance boost, however is not the goal of this work. cap_loss, cap_n_correct","%d), cap_train_loss = %.6f, cms_train_loss = %.6f,' ' current step = %d, current","cms_vocab, caption=False) print(' \\n') with open(opt['info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss:","Scropt for V2C captioning task. ''' __author__ = '<NAME>' import os import numpy","cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) # compute the token prediction Acc.","= S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\"dim_model\"], opt[\"dim_word\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of","# multi-gpu case, not necessary in newer PyTorch version or on single GPU.","torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9,","torch.save(model.state_dict(), model_path) print('model saved to %s' % model_path) with open(opt['model_info_path'], 'a') as f:","cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) # compute the token prediction Acc. non_pad_mask =","(iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the intermediate generations","performance boost, however is not the goal of this work. cap_loss, cap_n_correct =","model.cuda() # resume from previous checkpoint if indicated if opt['load_checkpoint'] and opt['resume']: cap_state_dict","the goal of this work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True)","cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1) # update parameters cap_train_loss =","however is not the goal of this work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]),","opt['load_checkpoint'] and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer =","optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1) # update parameters cap_train_loss = cap_loss.item() cms_train_loss","= %d, current lr = %.3E, cap_acc = %.3f, cms_acc = %.3f' %","case, not necessary in newer PyTorch version or on single GPU. if opt['cuda']:","opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x:","of this work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct","prediction Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD)","cms_labels[:, :-1], cms_vocab, caption=False) print(' \\n') with open(opt['info_path'], 'a') as f: f.write('model_%d, cap_loss:","# may lead performance boost, however is not the goal of this work.","opt['int_max_len'] elif opt['cms'] == 'eff': cms_text_length = opt['eff_max_len'] else: cms_text_length = opt['att_max_len'] #","model_parameters = filter(lambda p: p.requires_grad, model.parameters()) params = sum([np.prod(p.size()) for p in model_parameters])","cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True) cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:,","opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model saved to %s' % model_path) with","VideoDataset(opt, 'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size()","set the init learning rate as np.power(d_model, -0.5), # grid search indicates different","cms_text_length = opt['att_max_len'] # model initialization. from model.S2VTModel import S2VTModel model = S2VTModel(","show the intermediate generations if opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab,","cms_text_length, opt[\"dim_model\"], opt[\"dim_word\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of parameters model_parameters = filter(lambda p:","= dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms'] == 'int': cms_text_length = opt['int_max_len'] elif","os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ == '__main__': opt","as training objective, # advanced loss func. like SELF-CRIT, different loss weights or","os.path.join(dir, 'iteration_info_log.log') print('model architecture saved to {} \\n {}'.format(info_path, str(model))) with open(info_path, 'a')","generations if opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True) cms_pr, cms_gt","snapshot to local info_path = os.path.join(dir, 'iteration_info_log.log') print('model architecture saved to {} \\n","cms_loss: %.6f\\n' % (epoch, cap_train_loss, cms_train_loss)) f.write('\\n %s \\n %s' % (cap_pr, cap_gt))","of parameters model_parameters = filter(lambda p: p.requires_grad, model.parameters()) params = sum([np.prod(p.size()) for p","% (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): # load and define dataloader dataset =","opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad() # cap_probs,","%.3f' % (iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the","cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:,","of learnable parameters are {}'.format(params)) if opt['cuda']: model = model.cuda() # resume from","= round(optimizer.init_lr, 3) # create checkpoint output directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'],","3) # create checkpoint output directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'],","train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ == '__main__': opt = parse_opt()","= os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ == '__main__':","open(opt['info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n' % (epoch, cap_train_loss, cms_train_loss))","non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word =","data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs = model(fc_feats,","opt['cms'] == 'eff': cms_labels = data['eff_labels'] else: cms_labels = data['att_labels'] if opt['cuda']: fc_feats","= cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:],","compute the token prediction Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask","for p in model_parameters]) print('number of learnable parameters are {}'.format(params)) if opt['cuda']: model","cms_labels) # note: currently we just used most naive cross-entropy as training objective,","elif opt['cms'] == 'eff': cms_labels = data['eff_labels'] else: cms_labels = data['att_labels'] if opt['cuda']:","# update parameters cap_train_loss = cap_loss.item() cms_train_loss = cms_loss.item() # multi-gpu case, not","# note: currently we just used most naive cross-entropy as training objective, #","if opt['cms'] == 'int': cms_text_length = opt['int_max_len'] elif opt['cms'] == 'eff': cms_text_length =","cap_probs, cms_probs = model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos) cap_probs, _, cms_probs, _ =","version or on single GPU. if opt['cuda']: torch.cuda.synchronize() iteration += 1 if iteration","model.train() for epoch in range(opt['epochs']): iteration = 0 for data in loader: torch.cuda.synchronize()","_ = model(fc_feats, cap_labels, cms_labels) # note: currently we just used most naive","cap_loss.item() cms_train_loss = cms_loss.item() # multi-gpu case, not necessary in newer PyTorch version","os import numpy as np from opts import * from utils.utils import *","print('iter %d (epoch %d), cap_train_loss = %.6f, cms_train_loss = %.6f,' ' current step","like SELF-CRIT, different loss weights or stronger video feature # may lead performance","VideoDataset from model.transformer.Optim import ScheduledOptim def train(loader, model, optimizer, opt, cap_vocab, cms_vocab): model.train()","model.Model import Model from torch.utils.data import DataLoader from utils.dataloader import VideoDataset from model.transformer.Optim","multi-gpu case, not necessary in newer PyTorch version or on single GPU. if","DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms'] == 'int':","opt['eff_max_len'] else: cms_text_length = opt['att_max_len'] # model initialization. from model.S2VTModel import S2VTModel model","opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir) # save the model snapshot","epoch % opt['save_checkpoint_every'] == 0: # save the checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth'","= data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs =","1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss /=","advanced loss func. like SELF-CRIT, different loss weights or stronger video feature #","data['eff_labels'] else: cms_labels = data['att_labels'] if opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda()","train(loader, model, optimizer, opt, cap_vocab, cms_vocab): model.train() for epoch in range(opt['epochs']): iteration =","show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False) print(' \\n') with open(opt['info_path'], 'a') as f: f.write('model_%d,","for epoch in range(opt['epochs']): iteration = 0 for data in loader: torch.cuda.synchronize() if","with open(opt['model_info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n' % (epoch, cap_train_loss/n_word,","optimizer, opt, cap_vocab, cms_vocab): model.train() for epoch in range(opt['epochs']): iteration = 0 for","cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True)","opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ == '__main__': opt = parse_opt() opt = vars(opt)","cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the intermediate generations if opt['show_predict']: cap_pr,","==0: print('iter %d (epoch %d), cap_train_loss = %.6f, cms_train_loss = %.6f,' ' current","parameters model_parameters = filter(lambda p: p.requires_grad, model.parameters()) params = sum([np.prod(p.size()) for p in","range(opt['epochs']): iteration = 0 for data in loader: torch.cuda.synchronize() if opt['cms'] == 'int':","Training Scropt for V2C captioning task. ''' __author__ = '<NAME>' import os import","cap_labels, cap_pos, cms_labels, cms_pos) cap_probs, _, cms_probs, _ = model(fc_feats, cap_labels, cms_labels) #","'eff': cms_labels = data['eff_labels'] else: cms_labels = data['att_labels'] if opt['cuda']: fc_feats = data['fc_feats'].cuda()","(cap_pr, cap_gt)) f.write('\\n %s \\n %s' % (cms_pr, cms_gt)) f.write('\\n') if epoch %","model.transformer.Optim import ScheduledOptim def train(loader, model, optimizer, opt, cap_vocab, cms_vocab): model.train() for epoch","if not os.path.exists(dir): os.makedirs(dir) # save the model snapshot to local info_path =","model, optimizer, opt, cap_vocab, cms_vocab): model.train() for epoch in range(opt['epochs']): iteration = 0","in model_parameters]) print('number of learnable parameters are {}'.format(params)) if opt['cuda']: model = model.cuda()","resume from previous checkpoint if indicated if opt['load_checkpoint'] and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint'])","import * from utils.utils import * import torch.optim as optim from model.Model import","cms_probs, _ = model(fc_feats, cap_labels, cms_labels) # note: currently we just used most","initialization. from model.S2VTModel import S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\"dim_model\"],","f: f.write(str(model)) f.write('\\n') f.write(str(params)) f.write('\\n') # log file directory opt['output_dir'] = dir opt['info_path']","%.3E, cap_acc = %.3f, cms_acc = %.3f' % (iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps,","\\n %s' % (cms_pr, cms_gt)) f.write('\\n') if epoch % opt['save_checkpoint_every'] == 0: #","note: though we set the init learning rate as np.power(d_model, -0.5), # grid","as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt):","= dir opt['info_path'] = info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt,","opt['save_checkpoint_every'] == 0: # save the checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'],","video feature # may lead performance boost, however is not the goal of","dataset = VideoDataset(opt, 'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size']","== 'eff': cms_text_length = opt['eff_max_len'] else: cms_text_length = opt['att_max_len'] # model initialization. from","loader: torch.cuda.synchronize() if opt['cms'] == 'int': cms_labels = data['int_labels'] elif opt['cms'] == 'eff':","cap_probs, _, cms_probs, _ = model(fc_feats, cap_labels, cms_labels) # note: currently we just","func. like SELF-CRIT, different loss weights or stronger video feature # may lead","cap_vocab, caption=True) cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False) print(' \\n') with","and define dataloader dataset = VideoDataset(opt, 'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size']","= cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss /= n_word loss = cms_loss + cap_loss","dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not","% (iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the intermediate","caption=False) print(' \\n') with open(opt['info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n'","cms_train_loss = %.6f,' ' current step = %d, current lr = %.3E, cap_acc","% opt['print_loss_every'] ==0: print('iter %d (epoch %d), cap_train_loss = %.6f, cms_train_loss = %.6f,'","create checkpoint output directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'],","fc_feats = data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs","S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\"dim_model\"], opt[\"dim_word\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) #","with open(opt['info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n' % (epoch, cap_train_loss,","import DataLoader from utils.dataloader import VideoDataset from model.transformer.Optim import ScheduledOptim def train(loader, model,","opt['att_max_len'] # model initialization. from model.S2VTModel import S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(),","token prediction Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:,","/= n_word cms_loss /= n_word loss = cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda","model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos) cap_probs, _, cms_probs, _ = model(fc_feats, cap_labels, cms_labels)","= cms_loss.item() # multi-gpu case, not necessary in newer PyTorch version or on","if opt['cuda']: model = model.cuda() # resume from previous checkpoint if indicated if","= VideoDataset(opt, 'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] =","= data['att_labels'] if opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels = cms_labels.cuda()","= 0 for data in loader: torch.cuda.synchronize() if opt['cms'] == 'int': cms_labels =","dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\"dim_model\"], opt[\"dim_word\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of parameters model_parameters =","opt, cap_vocab, cms_vocab): model.train() for epoch in range(opt['epochs']): iteration = 0 for data","DataLoader from utils.dataloader import VideoDataset from model.transformer.Optim import ScheduledOptim def train(loader, model, optimizer,","are {}'.format(params)) if opt['cuda']: model = model.cuda() # resume from previous checkpoint if","%s \\n %s' % (cap_pr, cap_gt)) f.write('\\n %s \\n %s' % (cms_pr, cms_gt))","_, cms_probs, _ = model(fc_feats, cap_labels, cms_labels) # note: currently we just used","1:], smoothing=True) # compute the token prediction Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word","model_path) print('model saved to %s' % model_path) with open(opt['model_info_path'], 'a') as f: f.write('model_%d,","cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False) print(' \\n') with open(opt['info_path'], 'a')","saved to {} \\n {}'.format(info_path, str(model))) with open(info_path, 'a') as f: f.write(str(model)) f.write('\\n')","np.power(d_model, -0.5), # grid search indicates different LR may improve the results. opt['init_lr']","as np from opts import * from utils.utils import * import torch.optim as","optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the intermediate generations if opt['show_predict']: cap_pr, cap_gt","print('model architecture saved to {} \\n {}'.format(info_path, str(model))) with open(info_path, 'a') as f:","save the checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'],","= show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False) print(' \\n') with open(opt['info_path'], 'a') as f:","f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): # load","'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n' % (epoch, cap_train_loss, cms_train_loss)) f.write('\\n","= DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms'] ==","dir opt['info_path'] = info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(),","1:], smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) # compute the","numpy as np from opts import * from utils.utils import * import torch.optim","== 0: # save the checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'],","cap_labels, cms_labels) # note: currently we just used most naive cross-entropy as training","cms_loss: %.6f\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): # load and define dataloader","'eff': cms_text_length = opt['eff_max_len'] else: cms_text_length = opt['att_max_len'] # model initialization. from model.S2VTModel","1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss /= n_word loss = cms_loss","most naive cross-entropy as training objective, # advanced loss func. like SELF-CRIT, different","optimizer.zero_grad() # cap_probs, cms_probs = model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos) cap_probs, _, cms_probs,","parameters are {}'.format(params)) if opt['cuda']: model = model.cuda() # resume from previous checkpoint","# advanced loss func. like SELF-CRIT, different loss weights or stronger video feature","print('number of learnable parameters are {}'.format(params)) if opt['cuda']: model = model.cuda() # resume","data['int_labels'] elif opt['cms'] == 'eff': cms_labels = data['eff_labels'] else: cms_labels = data['att_labels'] if","from opts import * from utils.utils import * import torch.optim as optim from","cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss /= n_word loss =","(cms_pr, cms_gt)) f.write('\\n') if epoch % opt['save_checkpoint_every'] == 0: # save the checkpoint","learning rate as np.power(d_model, -0.5), # grid search indicates different LR may improve","previous checkpoint if indicated if opt['load_checkpoint'] and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict =","training objective, # advanced loss func. like SELF-CRIT, different loss weights or stronger","= opt['int_max_len'] elif opt['cms'] == 'eff': cms_text_length = opt['eff_max_len'] else: cms_text_length = opt['att_max_len']","(epoch %d), cap_train_loss = %.6f, cms_train_loss = %.6f,' ' current step = %d,","= cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1) # update","shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms'] == 'int': cms_text_length =","if epoch % opt['save_checkpoint_every'] == 0: # save the checkpoint model_path = os.path.join(opt['output_dir'],","boost, however is not the goal of this work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1,","from utils.dataloader import VideoDataset from model.transformer.Optim import ScheduledOptim def train(loader, model, optimizer, opt,","cap_loss /= n_word cms_loss /= n_word loss = cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr()","number of parameters model_parameters = filter(lambda p: p.requires_grad, model.parameters()) params = sum([np.prod(p.size()) for","% (cms_pr, cms_gt)) f.write('\\n') if epoch % opt['save_checkpoint_every'] == 0: # save the","learnable parameters are {}'.format(params)) if opt['cuda']: model = model.cuda() # resume from previous","cap_gt = show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True) cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:, :-1],","f.write('\\n') f.write(str(params)) f.write('\\n') # log file directory opt['output_dir'] = dir opt['info_path'] = info_path","model = model.cuda() # resume from previous checkpoint if indicated if opt['load_checkpoint'] and","torch.cuda.synchronize() if opt['cms'] == 'int': cms_labels = data['int_labels'] elif opt['cms'] == 'eff': cms_labels","opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms'] == 'int': cms_text_length = opt['int_max_len'] elif opt['cms'] ==","or on single GPU. if opt['cuda']: torch.cuda.synchronize() iteration += 1 if iteration %","opt['print_loss_every'] ==0: print('iter %d (epoch %d), cap_train_loss = %.6f, cms_train_loss = %.6f,' '","data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs = model(fc_feats, cap_labels, cap_pos, cms_labels,","eps=1e-09), 512, opt['warm_up_steps']) # note: though we set the init learning rate as","# note: though we set the init learning rate as np.power(d_model, -0.5), #","necessary in newer PyTorch version or on single GPU. if opt['cuda']: torch.cuda.synchronize() iteration","iteration = 0 for data in loader: torch.cuda.synchronize() if opt['cms'] == 'int': cms_labels","cap_train_loss = %.6f, cms_train_loss = %.6f,' ' current step = %d, current lr","if opt['cuda']: torch.cuda.synchronize() iteration += 1 if iteration % opt['print_loss_every'] ==0: print('iter %d","'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if","= cap_loss.item() cms_train_loss = cms_loss.item() # multi-gpu case, not necessary in newer PyTorch","% (cap_pr, cap_gt)) f.write('\\n %s \\n %s' % (cms_pr, cms_gt)) f.write('\\n') if epoch","model_path) with open(opt['model_info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n' % (epoch,","import ScheduledOptim def train(loader, model, optimizer, opt, cap_vocab, cms_vocab): model.train() for epoch in","init learning rate as np.power(d_model, -0.5), # grid search indicates different LR may","as np.power(d_model, -0.5), # grid search indicates different LR may improve the results.","filter(lambda p: p.requires_grad, model.parameters()) params = sum([np.prod(p.size()) for p in model_parameters]) print('number of","in newer PyTorch version or on single GPU. if opt['cuda']: torch.cuda.synchronize() iteration +=","cap_labels = data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs = model(fc_feats, cap_labels,","# save the checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'],","info_path = os.path.join(dir, 'iteration_info_log.log') print('model architecture saved to {} \\n {}'.format(info_path, str(model))) with","Model from torch.utils.data import DataLoader from utils.dataloader import VideoDataset from model.transformer.Optim import ScheduledOptim","just used most naive cross-entropy as training objective, # advanced loss func. like","opt['cuda']: model = model.cuda() # resume from previous checkpoint if indicated if opt['load_checkpoint']","\\n') with open(opt['info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n' % (epoch,","lr = %.3E, cap_acc = %.3f, cms_acc = %.3f' % (iteration, epoch, cap_train_loss,","model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\"dim_model\"], opt[\"dim_word\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number","= %.3E, cap_acc = %.3f, cms_acc = %.3f' % (iteration, epoch, cap_train_loss, cms_train_loss,","stronger video feature # may lead performance boost, however is not the goal","0.98), eps=1e-09), 512, opt['warm_up_steps']) # note: though we set the init learning rate","model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98),","opt['cms'] == 'int': cms_text_length = opt['int_max_len'] elif opt['cms'] == 'eff': cms_text_length = opt['eff_max_len']","epoch in range(opt['epochs']): iteration = 0 for data in loader: torch.cuda.synchronize() if opt['cms']","np from opts import * from utils.utils import * import torch.optim as optim","opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model saved to %s' % model_path) with open(opt['model_info_path'], 'a')","= opt['att_max_len'] # model initialization. from model.S2VTModel import S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(),","data['att_labels'] if opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad()","dataloader dataset = VideoDataset(opt, 'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size()","model snapshot to local info_path = os.path.join(dir, 'iteration_info_log.log') print('model architecture saved to {}","= '<NAME>' import os import numpy as np from opts import * from","opt[\"dim_word\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of parameters model_parameters = filter(lambda p: p.requires_grad, model.parameters())","params = sum([np.prod(p.size()) for p in model_parameters]) print('number of learnable parameters are {}'.format(params))","cms_labels = data['int_labels'] elif opt['cms'] == 'eff': cms_labels = data['eff_labels'] else: cms_labels =","naive cross-entropy as training objective, # advanced loss func. like SELF-CRIT, different loss","cap_state_dict = torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad,","PyTorch version or on single GPU. if opt['cuda']: torch.cuda.synchronize() iteration += 1 if","p in model_parameters]) print('number of learnable parameters are {}'.format(params)) if opt['cuda']: model =","= torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()),","p: p.requires_grad, model.parameters()) params = sum([np.prod(p.size()) for p in model_parameters]) print('number of learnable","show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True) cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False)","opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of parameters model_parameters = filter(lambda p: p.requires_grad, model.parameters()) params","model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps']) # note: though we set the init","ScheduledOptim def train(loader, model, optimizer, opt, cap_vocab, cms_vocab): model.train() for epoch in range(opt['epochs']):","cms_gt)) f.write('\\n') if epoch % opt['save_checkpoint_every'] == 0: # save the checkpoint model_path","\\n %s' % (cap_pr, cap_gt)) f.write('\\n %s \\n %s' % (cms_pr, cms_gt)) f.write('\\n')","<filename>others/train_RNN.py ''' Training Scropt for V2C captioning task. ''' __author__ = '<NAME>' import","directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if","opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True) cms_pr, cms_gt = show_prediction(cms_probs,","the checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'],","cap_train_loss = cap_loss.item() cms_train_loss = cms_loss.item() # multi-gpu case, not necessary in newer","cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): # load and define dataloader dataset = VideoDataset(opt, 'train')","n_layers=opt['rnn_layer']) # number of parameters model_parameters = filter(lambda p: p.requires_grad, model.parameters()) params =","torch.optim as optim from model.Model import Model from torch.utils.data import DataLoader from utils.dataloader","%d, current lr = %.3E, cap_acc = %.3f, cms_acc = %.3f' % (iteration,","%.6f, cms_loss: %.6f\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): # load and define","opt['cms'] == 'eff': cms_text_length = opt['eff_max_len'] else: cms_text_length = opt['att_max_len'] # model initialization.","cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]),","ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps']) # note: though we","import * import torch.optim as optim from model.Model import Model from torch.utils.data import","if iteration % opt['print_loss_every'] ==0: print('iter %d (epoch %d), cap_train_loss = %.6f, cms_train_loss","in range(opt['epochs']): iteration = 0 for data in loader: torch.cuda.synchronize() if opt['cms'] ==","saved to %s' % model_path) with open(opt['model_info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f,","torch.cuda.synchronize() iteration += 1 if iteration % opt['print_loss_every'] ==0: print('iter %d (epoch %d),","work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1,","cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) # compute the token prediction Acc. non_pad_mask = cap_labels[:,","note: currently we just used most naive cross-entropy as training objective, # advanced","x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps']) # note: though we set","from utils.utils import * import torch.optim as optim from model.Model import Model from","cms_vocab): model.train() for epoch in range(opt['epochs']): iteration = 0 for data in loader:","may lead performance boost, however is not the goal of this work. cap_loss,",".format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir) # save","checkpoint if indicated if opt['load_checkpoint'] and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict = model.state_dict()","import os import numpy as np from opts import * from utils.utils import","import numpy as np from opts import * from utils.utils import * import","1) # update parameters cap_train_loss = cap_loss.item() cms_train_loss = cms_loss.item() # multi-gpu case,","task. ''' __author__ = '<NAME>' import os import numpy as np from opts","if opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True) cms_pr, cms_gt =","(epoch, cap_train_loss, cms_train_loss)) f.write('\\n %s \\n %s' % (cap_pr, cap_gt)) f.write('\\n %s \\n","loss weights or stronger video feature # may lead performance boost, however is","'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def","current lr = %.3E, cap_acc = %.3f, cms_acc = %.3f' % (iteration, epoch,","cap_acc = %.3f, cms_acc = %.3f' % (iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'],","= data['eff_labels'] else: cms_labels = data['att_labels'] if opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels =","search indicates different LR may improve the results. opt['init_lr'] = round(optimizer.init_lr, 3) #","else: cms_labels = data['att_labels'] if opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels","not the goal of this work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:],","opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model saved to %s'","= non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss","= os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path)","n_word loss = cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1)","currently we just used most naive cross-entropy as training objective, # advanced loss","%s' % model_path) with open(opt['model_info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\n'","p.requires_grad, model.parameters()) params = sum([np.prod(p.size()) for p in model_parameters]) print('number of learnable parameters","load and define dataloader dataset = VideoDataset(opt, 'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True)","'a') as f: f.write(str(model)) f.write('\\n') f.write(str(params)) f.write('\\n') # log file directory opt['output_dir'] =","cap_labels[:, :-1], cap_vocab, caption=True) cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False) print('","= info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if","rate as np.power(d_model, -0.5), # grid search indicates different LR may improve the","opt['init_lr'] = round(optimizer.init_lr, 3) # create checkpoint output directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}'","= %.3f' % (iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show","'<NAME>' import os import numpy as np from opts import * from utils.utils","for data in loader: torch.cuda.synchronize() if opt['cms'] == 'int': cms_labels = data['int_labels'] elif","parameters cap_train_loss = cap_loss.item() cms_train_loss = cms_loss.item() # multi-gpu case, not necessary in","''' __author__ = '<NAME>' import os import numpy as np from opts import","model_parameters]) print('number of learnable parameters are {}'.format(params)) if opt['cuda']: model = model.cuda() #","iteration += 1 if iteration % opt['print_loss_every'] ==0: print('iter %d (epoch %d), cap_train_loss","grid search indicates different LR may improve the results. opt['init_lr'] = round(optimizer.init_lr, 3)","from model.transformer.Optim import ScheduledOptim def train(loader, model, optimizer, opt, cap_vocab, cms_vocab): model.train() for","info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__","non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss /=","cms_gt = show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False) print(' \\n') with open(opt['info_path'], 'a') as","Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word","opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model saved to %s' % model_path) with open(opt['model_info_path'],","== 'int': cms_text_length = opt['int_max_len'] elif opt['cms'] == 'eff': cms_text_length = opt['eff_max_len'] else:","'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ == '__main__': opt =","model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512,","to local info_path = os.path.join(dir, 'iteration_info_log.log') print('model architecture saved to {} \\n {}'.format(info_path,","%.6f\\n' % (epoch, cap_train_loss, cms_train_loss)) f.write('\\n %s \\n %s' % (cap_pr, cap_gt)) f.write('\\n","LR may improve the results. opt['init_lr'] = round(optimizer.init_lr, 3) # create checkpoint output","goal of this work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss,","we just used most naive cross-entropy as training objective, # advanced loss func."],"string":"[\n \"model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps'])\",\n \"cms_loss /= n_word loss = cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad,\",\n \"512, opt['warm_up_steps']) # note: though we set the init learning rate as np.power(d_model,\",\n \"GPU. if opt['cuda']: torch.cuda.synchronize() iteration += 1 if iteration % opt['print_loss_every'] ==0: print('iter\",\n \"f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n' % (epoch, cap_train_loss, cms_train_loss)) f.write('\\\\n %s \\\\n %s'\",\n \"% opt['save_checkpoint_every'] == 0: # save the checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'],\",\n \"# number of parameters model_parameters = filter(lambda p: p.requires_grad, model.parameters()) params = sum([np.prod(p.size())\",\n \"= %.6f, cms_train_loss = %.6f,' ' current step = %d, current lr =\",\n \"is not the goal of this work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:,\",\n \"dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms']\",\n \"cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) #\",\n \"to %s' % model_path) with open(opt['model_info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss:\",\n \"' current step = %d, current lr = %.3E, cap_acc = %.3f, cms_acc\",\n \"model.S2VTModel import S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\\\"dim_model\\\"], opt[\\\"dim_word\\\"], opt['dim_vis_feat'],\",\n \"= model(fc_feats, cap_labels, cms_labels) # note: currently we just used most naive cross-entropy\",\n \"cross-entropy as training objective, # advanced loss func. like SELF-CRIT, different loss weights\",\n \"f.write('\\\\n %s \\\\n %s' % (cms_pr, cms_gt)) f.write('\\\\n') if epoch % opt['save_checkpoint_every'] ==\",\n \"batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms'] == 'int': cms_text_length\",\n \"checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch))\",\n \"cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the intermediate generations if opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs,\",\n \"indicated if opt['load_checkpoint'] and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict)\",\n \"import torch.optim as optim from model.Model import Model from torch.utils.data import DataLoader from\",\n \"'int': cms_labels = data['int_labels'] elif opt['cms'] == 'eff': cms_labels = data['eff_labels'] else: cms_labels\",\n \"smoothing=True) # compute the token prediction Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word =\",\n \"# model initialization. from model.S2VTModel import S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'],\",\n \"cms_labels[:, 1:], smoothing=True) # compute the token prediction Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD)\",\n \"with open(info_path, 'a') as f: f.write(str(model)) f.write('\\\\n') f.write(str(params)) f.write('\\\\n') # log file directory\",\n \"= model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos) cap_probs, _, cms_probs, _ = model(fc_feats, cap_labels,\",\n \"cap_loss: %.6f, cms_loss: %.6f\\\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): # load and\",\n \"+= 1 if iteration % opt['print_loss_every'] ==0: print('iter %d (epoch %d), cap_train_loss =\",\n \"{}'.format(params)) if opt['cuda']: model = model.cuda() # resume from previous checkpoint if indicated\",\n \"= ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps']) # note: though\",\n \"f.write('\\\\n') # log file directory opt['output_dir'] = dir opt['info_path'] = info_path opt['model_info_path'] =\",\n \"as f: f.write(str(model)) f.write('\\\\n') f.write(str(params)) f.write('\\\\n') # log file directory opt['output_dir'] = dir\",\n \"though we set the init learning rate as np.power(d_model, -0.5), # grid search\",\n \"single GPU. if opt['cuda']: torch.cuda.synchronize() iteration += 1 if iteration % opt['print_loss_every'] ==0:\",\n \"cms_probs = model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos) cap_probs, _, cms_probs, _ = model(fc_feats,\",\n \"% (epoch, cap_train_loss, cms_train_loss)) f.write('\\\\n %s \\\\n %s' % (cap_pr, cap_gt)) f.write('\\\\n %s\",\n \"{}'.format(info_path, str(model))) with open(info_path, 'a') as f: f.write(str(model)) f.write('\\\\n') f.write(str(params)) f.write('\\\\n') # log\",\n \"dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ == '__main__': opt = parse_opt() opt = vars(opt) main(opt)\",\n \"cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss\",\n \"f.write('\\\\n %s \\\\n %s' % (cap_pr, cap_gt)) f.write('\\\\n %s \\\\n %s' % (cms_pr,\",\n \"p.requires_grad, model.parameters()), 1) # update parameters cap_train_loss = cap_loss.item() cms_train_loss = cms_loss.item() #\",\n \"model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps']) #\",\n \"as optim from model.Model import Model from torch.utils.data import DataLoader from utils.dataloader import\",\n \"as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n' % (epoch, cap_train_loss, cms_train_loss)) f.write('\\\\n %s\",\n \"model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ == '__main__': opt = parse_opt() opt\",\n \"cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss /= n_word loss = cms_loss + cap_loss loss.backward()\",\n \"V2C captioning task. ''' __author__ = '<NAME>' import os import numpy as np\",\n \"the token prediction Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask =\",\n \"cms_text_length = opt['eff_max_len'] else: cms_text_length = opt['att_max_len'] # model initialization. from model.S2VTModel import\",\n \"epoch)) torch.save(model.state_dict(), model_path) print('model saved to %s' % model_path) with open(opt['model_info_path'], 'a') as\",\n \"cap_loss: %.6f, cms_loss: %.6f\\\\n' % (epoch, cap_train_loss, cms_train_loss)) f.write('\\\\n %s \\\\n %s' %\",\n \"dataset.get_cap_vocab_size() if opt['cms'] == 'int': cms_text_length = opt['int_max_len'] elif opt['cms'] == 'eff': cms_text_length\",\n \"iteration % opt['print_loss_every'] ==0: print('iter %d (epoch %d), cap_train_loss = %.6f, cms_train_loss =\",\n \"1 if iteration % opt['print_loss_every'] ==0: print('iter %d (epoch %d), cap_train_loss = %.6f,\",\n \"%d (epoch %d), cap_train_loss = %.6f, cms_train_loss = %.6f,' ' current step =\",\n \"f.write(str(model)) f.write('\\\\n') f.write(str(params)) f.write('\\\\n') # log file directory opt['output_dir'] = dir opt['info_path'] =\",\n \"opt['cuda']: torch.cuda.synchronize() iteration += 1 if iteration % opt['print_loss_every'] ==0: print('iter %d (epoch\",\n \"% model_path) with open(opt['model_info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n' %\",\n \"model.parameters()) params = sum([np.prod(p.size()) for p in model_parameters]) print('number of learnable parameters are\",\n \"torch.utils.data import DataLoader from utils.dataloader import VideoDataset from model.transformer.Optim import ScheduledOptim def train(loader,\",\n \"or stronger video feature # may lead performance boost, however is not the\",\n \"data in loader: torch.cuda.synchronize() if opt['cms'] == 'int': cms_labels = data['int_labels'] elif opt['cms']\",\n \"weights or stronger video feature # may lead performance boost, however is not\",\n \"# cap_probs, cms_probs = model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos) cap_probs, _, cms_probs, _\",\n \"cms_loss.item() # multi-gpu case, not necessary in newer PyTorch version or on single\",\n \"sum([np.prod(p.size()) for p in model_parameters]) print('number of learnable parameters are {}'.format(params)) if opt['cuda']:\",\n \"/= n_word loss = cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()),\",\n \"cms_labels = data['att_labels'] if opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels =\",\n \"cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the intermediate generations if opt['show_predict']:\",\n \"n_word = non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss /= n_word\",\n \"%s \\\\n %s' % (cms_pr, cms_gt)) f.write('\\\\n') if epoch % opt['save_checkpoint_every'] == 0:\",\n \"opt[\\\"dim_model\\\"], opt[\\\"dim_word\\\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of parameters model_parameters = filter(lambda p: p.requires_grad,\",\n \"optim from model.Model import Model from torch.utils.data import DataLoader from utils.dataloader import VideoDataset\",\n \"cms_n_word = cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss /= n_word loss = cms_loss +\",\n \"loss = cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1) #\",\n \"-0.5), # grid search indicates different LR may improve the results. opt['init_lr'] =\",\n \"used most naive cross-entropy as training objective, # advanced loss func. like SELF-CRIT,\",\n \"on single GPU. if opt['cuda']: torch.cuda.synchronize() iteration += 1 if iteration % opt['print_loss_every']\",\n \"= filter(lambda p: p.requires_grad, model.parameters()) params = sum([np.prod(p.size()) for p in model_parameters]) print('number\",\n \"%.6f, cms_loss: %.6f\\\\n' % (epoch, cap_train_loss, cms_train_loss)) f.write('\\\\n %s \\\\n %s' % (cap_pr,\",\n \"we set the init learning rate as np.power(d_model, -0.5), # grid search indicates\",\n \"cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) # compute\",\n \"cap_vocab, cms_vocab): model.train() for epoch in range(opt['epochs']): iteration = 0 for data in\",\n \"round(optimizer.init_lr, 3) # create checkpoint output directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'],\",\n \"smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) # compute the token\",\n \"= opt['eff_max_len'] else: cms_text_length = opt['att_max_len'] # model initialization. from model.S2VTModel import S2VTModel\",\n \"caption=True) cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False) print(' \\\\n') with open(opt['info_path'],\",\n \"opt['output_dir'] = dir opt['info_path'] = info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer,\",\n \"step = %d, current lr = %.3E, cap_acc = %.3f, cms_acc = %.3f'\",\n \"'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir) #\",\n \"opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir) # save the\",\n \"optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps']) # note:\",\n \"if opt['cms'] == 'int': cms_labels = data['int_labels'] elif opt['cms'] == 'eff': cms_labels =\",\n \"may improve the results. opt['init_lr'] = round(optimizer.init_lr, 3) # create checkpoint output directory\",\n \"checkpoint output directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'],\",\n \"utils.utils import * import torch.optim as optim from model.Model import Model from torch.utils.data\",\n \"== 'eff': cms_labels = data['eff_labels'] else: cms_labels = data['att_labels'] if opt['cuda']: fc_feats =\",\n \"the init learning rate as np.power(d_model, -0.5), # grid search indicates different LR\",\n \"= os.path.join(dir, 'iteration_info_log.log') print('model architecture saved to {} \\\\n {}'.format(info_path, str(model))) with open(info_path,\",\n \"def main(opt): # load and define dataloader dataset = VideoDataset(opt, 'train') dataloader =\",\n \"intermediate generations if opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True) cms_pr,\",\n \"cap_gt)) f.write('\\\\n %s \\\\n %s' % (cms_pr, cms_gt)) f.write('\\\\n') if epoch % opt['save_checkpoint_every']\",\n \"# resume from previous checkpoint if indicated if opt['load_checkpoint'] and opt['resume']: cap_state_dict =\",\n \"save the model snapshot to local info_path = os.path.join(dir, 'iteration_info_log.log') print('model architecture saved\",\n \"opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model saved to %s' %\",\n \"os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir)\",\n \"log file directory opt['output_dir'] = dir opt['info_path'] = info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log')\",\n \"''' Training Scropt for V2C captioning task. ''' __author__ = '<NAME>' import os\",\n \"# grid search indicates different LR may improve the results. opt['init_lr'] = round(optimizer.init_lr,\",\n \"'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model saved\",\n \"opts import * from utils.utils import * import torch.optim as optim from model.Model\",\n \"opt['warm_up_steps']) # note: though we set the init learning rate as np.power(d_model, -0.5),\",\n \"%.6f\\\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): # load and define dataloader dataset\",\n \"model initialization. from model.S2VTModel import S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length,\",\n \"= cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs = model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos) cap_probs,\",\n \"newer PyTorch version or on single GPU. if opt['cuda']: torch.cuda.synchronize() iteration += 1\",\n \"+ cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1) # update parameters cap_train_loss\",\n \"print(' \\\\n') with open(opt['info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n' %\",\n \"%s' % (cms_pr, cms_gt)) f.write('\\\\n') if epoch % opt['save_checkpoint_every'] == 0: # save\",\n \"0: # save the checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'],\",\n \"os.path.exists(dir): os.makedirs(dir) # save the model snapshot to local info_path = os.path.join(dir, 'iteration_info_log.log')\",\n \"S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\\\"dim_model\\\"], opt[\\\"dim_word\\\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of parameters\",\n \"SELF-CRIT, different loss weights or stronger video feature # may lead performance boost,\",\n \"p: p.requires_grad, model.parameters()), 1) # update parameters cap_train_loss = cap_loss.item() cms_train_loss = cms_loss.item()\",\n \"the results. opt['init_lr'] = round(optimizer.init_lr, 3) # create checkpoint output directory dir =\",\n \"directory opt['output_dir'] = dir opt['info_path'] = info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model,\",\n \"= cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss /= n_word loss\",\n \"n_word cms_loss /= n_word loss = cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p:\",\n \"opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir) # save the model\",\n \"0 for data in loader: torch.cuda.synchronize() if opt['cms'] == 'int': cms_labels = data['int_labels']\",\n \"loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1) # update parameters cap_train_loss = cap_loss.item()\",\n \"cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) # compute the token prediction\",\n \"different loss weights or stronger video feature # may lead performance boost, however\",\n \"= dataset.get_cap_vocab_size() if opt['cms'] == 'int': cms_text_length = opt['int_max_len'] elif opt['cms'] == 'eff':\",\n \"# compute the token prediction Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item()\",\n \"= %.6f,' ' current step = %d, current lr = %.3E, cap_acc =\",\n \"* from utils.utils import * import torch.optim as optim from model.Model import Model\",\n \"'int': cms_text_length = opt['int_max_len'] elif opt['cms'] == 'eff': cms_text_length = opt['eff_max_len'] else: cms_text_length\",\n \"objective, # advanced loss func. like SELF-CRIT, different loss weights or stronger video\",\n \"cms_train_loss)) f.write('\\\\n %s \\\\n %s' % (cap_pr, cap_gt)) f.write('\\\\n %s \\\\n %s' %\",\n \"local info_path = os.path.join(dir, 'iteration_info_log.log') print('model architecture saved to {} \\\\n {}'.format(info_path, str(model)))\",\n \"# show the intermediate generations if opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:, :-1],\",\n \"f.write('\\\\n') if epoch % opt['save_checkpoint_every'] == 0: # save the checkpoint model_path =\",\n \"if indicated if opt['load_checkpoint'] and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict)\",\n \"if opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad() #\",\n \"define dataloader dataset = VideoDataset(opt, 'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] =\",\n \"cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs = model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos) cap_probs, _,\",\n \"os.makedirs(dir) # save the model snapshot to local info_path = os.path.join(dir, 'iteration_info_log.log') print('model\",\n \"cms_labels = data['eff_labels'] else: cms_labels = data['att_labels'] if opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels\",\n \"utils.dataloader import VideoDataset from model.transformer.Optim import ScheduledOptim def train(loader, model, optimizer, opt, cap_vocab,\",\n \"%.6f,' ' current step = %d, current lr = %.3E, cap_acc = %.3f,\",\n \"= model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09),\",\n \"def train(loader, model, optimizer, opt, cap_vocab, cms_vocab): model.train() for epoch in range(opt['epochs']): iteration\",\n \"current step = %d, current lr = %.3E, cap_acc = %.3f, cms_acc =\",\n \"cap_pos, cms_labels, cms_pos) cap_probs, _, cms_probs, _ = model(fc_feats, cap_labels, cms_labels) # note:\",\n \"f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): #\",\n \"the intermediate generations if opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True)\",\n \"from previous checkpoint if indicated if opt['load_checkpoint'] and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict\",\n \"{} \\\\n {}'.format(info_path, str(model))) with open(info_path, 'a') as f: f.write(str(model)) f.write('\\\\n') f.write(str(params)) f.write('\\\\n')\",\n \"str(model))) with open(info_path, 'a') as f: f.write(str(model)) f.write('\\\\n') f.write(str(params)) f.write('\\\\n') # log file\",\n \"update parameters cap_train_loss = cap_loss.item() cms_train_loss = cms_loss.item() # multi-gpu case, not necessary\",\n \"f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n' % (epoch, cap_train_loss, cms_train_loss)) f.write('\\\\n %s \\\\n\",\n \"torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1) # update parameters cap_train_loss = cap_loss.item() cms_train_loss =\",\n \"output directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer']))\",\n \"%.6f, cms_train_loss = %.6f,' ' current step = %d, current lr = %.3E,\",\n \":-1], cms_vocab, caption=False) print(' \\\\n') with open(opt['info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f,\",\n \"= model.cuda() # resume from previous checkpoint if indicated if opt['load_checkpoint'] and opt['resume']:\",\n \"dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms'] == 'int': cms_text_length = opt['int_max_len'] elif opt['cms']\",\n \"__author__ = '<NAME>' import os import numpy as np from opts import *\",\n \"= %.3f, cms_acc = %.3f' % (iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word,\",\n \"cms_n_correct/cms_n_word)) # show the intermediate generations if opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:,\",\n \"= show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True) cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab,\",\n \"opt['info_path'] = info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab())\",\n \"from torch.utils.data import DataLoader from utils.dataloader import VideoDataset from model.transformer.Optim import ScheduledOptim def\",\n \"cms_train_loss = cms_loss.item() # multi-gpu case, not necessary in newer PyTorch version or\",\n \"cms_train_loss/n_word)) def main(opt): # load and define dataloader dataset = VideoDataset(opt, 'train') dataloader\",\n \"= cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) # compute the token prediction Acc. non_pad_mask\",\n \"improve the results. opt['init_lr'] = round(optimizer.init_lr, 3) # create checkpoint output directory dir\",\n \"to {} \\\\n {}'.format(info_path, str(model))) with open(info_path, 'a') as f: f.write(str(model)) f.write('\\\\n') f.write(str(params))\",\n \"x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps']) # note: though we set the\",\n \"not necessary in newer PyTorch version or on single GPU. if opt['cuda']: torch.cuda.synchronize()\",\n \"results. opt['init_lr'] = round(optimizer.init_lr, 3) # create checkpoint output directory dir = os.path.join(opt['checkpoint_path'],\",\n \"indicates different LR may improve the results. opt['init_lr'] = round(optimizer.init_lr, 3) # create\",\n \"opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir) # save the model snapshot to local info_path\",\n \"not os.path.exists(dir): os.makedirs(dir) # save the model snapshot to local info_path = os.path.join(dir,\",\n \"os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model\",\n \"cms_labels = cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs = model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos)\",\n \"else: cms_text_length = opt['att_max_len'] # model initialization. from model.S2VTModel import S2VTModel model =\",\n \"# save the model snapshot to local info_path = os.path.join(dir, 'iteration_info_log.log') print('model architecture\",\n \"optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the intermediate generations if opt['show_predict']: cap_pr, cap_gt =\",\n \"main(opt): # load and define dataloader dataset = VideoDataset(opt, 'train') dataloader = DataLoader(dataset,\",\n \"model.parameters()), 1) # update parameters cap_train_loss = cap_loss.item() cms_train_loss = cms_loss.item() # multi-gpu\",\n \"= data['int_labels'] elif opt['cms'] == 'eff': cms_labels = data['eff_labels'] else: cms_labels = data['att_labels']\",\n \"* import torch.optim as optim from model.Model import Model from torch.utils.data import DataLoader\",\n \"'iteration_info_log.log') print('model architecture saved to {} \\\\n {}'.format(info_path, str(model))) with open(info_path, 'a') as\",\n \"import Model from torch.utils.data import DataLoader from utils.dataloader import VideoDataset from model.transformer.Optim import\",\n \"elif opt['cms'] == 'eff': cms_text_length = opt['eff_max_len'] else: cms_text_length = opt['att_max_len'] # model\",\n \"f.write(str(params)) f.write('\\\\n') # log file directory opt['output_dir'] = dir opt['info_path'] = info_path opt['model_info_path']\",\n \"cap_train_loss, cms_train_loss)) f.write('\\\\n %s \\\\n %s' % (cap_pr, cap_gt)) f.write('\\\\n %s \\\\n %s'\",\n \"captioning task. ''' __author__ = '<NAME>' import os import numpy as np from\",\n \".format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model saved to\",\n \"from model.S2VTModel import S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\\\"dim_model\\\"], opt[\\\"dim_word\\\"],\",\n \":-1], cap_vocab, caption=True) cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False) print(' \\\\n')\",\n \"the model snapshot to local info_path = os.path.join(dir, 'iteration_info_log.log') print('model architecture saved to\",\n \"opt['cms'] == 'int': cms_labels = data['int_labels'] elif opt['cms'] == 'eff': cms_labels = data['eff_labels']\",\n \"open(opt['model_info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word))\",\n \"print('model saved to %s' % model_path) with open(opt['model_info_path'], 'a') as f: f.write('model_%d, cap_loss:\",\n \"model(fc_feats, cap_labels, cms_labels) # note: currently we just used most naive cross-entropy as\",\n \"from model.Model import Model from torch.utils.data import DataLoader from utils.dataloader import VideoDataset from\",\n \"# load and define dataloader dataset = VideoDataset(opt, 'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'],\",\n \"if opt['load_checkpoint'] and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer\",\n \"(epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): # load and define dataloader dataset = VideoDataset(opt,\",\n \"== 'int': cms_labels = data['int_labels'] elif opt['cms'] == 'eff': cms_labels = data['eff_labels'] else:\",\n \"import VideoDataset from model.transformer.Optim import ScheduledOptim def train(loader, model, optimizer, opt, cap_vocab, cms_vocab):\",\n \"opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir) # save the model snapshot to\",\n \"and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda\",\n \"= os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir):\",\n \"optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ == '__main__': opt = parse_opt() opt =\",\n \"this work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct =\",\n \"feature # may lead performance boost, however is not the goal of this\",\n \"in loader: torch.cuda.synchronize() if opt['cms'] == 'int': cms_labels = data['int_labels'] elif opt['cms'] ==\",\n \"cms_acc = %.3f' % (iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) #\",\n \"= cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item()\",\n \"import S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\\\"dim_model\\\"], opt[\\\"dim_word\\\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer'])\",\n \"# create checkpoint output directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'],\",\n \"cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1) # update parameters\",\n \"= sum([np.prod(p.size()) for p in model_parameters]) print('number of learnable parameters are {}'.format(params)) if\",\n \"epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the intermediate generations if\",\n \"%.3f, cms_acc = %.3f' % (iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word))\",\n \"open(info_path, 'a') as f: f.write(str(model)) f.write('\\\\n') f.write(str(params)) f.write('\\\\n') # log file directory opt['output_dir']\",\n \"betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps']) # note: though we set the init learning\",\n \"cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss /= n_word\",\n \"opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ ==\",\n \"%s' % (cap_pr, cap_gt)) f.write('\\\\n %s \\\\n %s' % (cms_pr, cms_gt)) f.write('\\\\n') if\",\n \"dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\\\"dim_model\\\"], opt[\\\"dim_word\\\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of parameters model_parameters\",\n \"= data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs = model(fc_feats, cap_labels, cap_pos,\",\n \"cms_pos) cap_probs, _, cms_probs, _ = model(fc_feats, cap_labels, cms_labels) # note: currently we\",\n \"file directory opt['output_dir'] = dir opt['info_path'] = info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader,\",\n \"\\\\n {}'.format(info_path, str(model))) with open(info_path, 'a') as f: f.write(str(model)) f.write('\\\\n') f.write(str(params)) f.write('\\\\n') #\",\n \"opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir) # save the model snapshot to local\",\n \"for V2C captioning task. ''' __author__ = '<NAME>' import os import numpy as\",\n \"opt['cap_max_len'], cms_text_length, opt[\\\"dim_model\\\"], opt[\\\"dim_word\\\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of parameters model_parameters = filter(lambda\",\n \"architecture saved to {} \\\\n {}'.format(info_path, str(model))) with open(info_path, 'a') as f: f.write(str(model))\",\n \"loss func. like SELF-CRIT, different loss weights or stronger video feature # may\",\n \"different LR may improve the results. opt['init_lr'] = round(optimizer.init_lr, 3) # create checkpoint\",\n \"opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms'] == 'int': cms_text_length = opt['int_max_len']\",\n \"opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model saved to %s' % model_path)\",\n \"cms_text_length = opt['int_max_len'] elif opt['cms'] == 'eff': cms_text_length = opt['eff_max_len'] else: cms_text_length =\",\n \"model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(),\",\n \"# log file directory opt['output_dir'] = dir opt['info_path'] = info_path opt['model_info_path'] = os.path.join(opt['output_dir'],\",\n \"cms_labels, cms_pos) cap_probs, _, cms_probs, _ = model(fc_feats, cap_labels, cms_labels) # note: currently\",\n \"lead performance boost, however is not the goal of this work. cap_loss, cap_n_correct\",\n \"%d), cap_train_loss = %.6f, cms_train_loss = %.6f,' ' current step = %d, current\",\n \"cms_vocab, caption=False) print(' \\\\n') with open(opt['info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss:\",\n \"Scropt for V2C captioning task. ''' __author__ = '<NAME>' import os import numpy\",\n \"cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) # compute the token prediction Acc.\",\n \"= S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\\\"dim_model\\\"], opt[\\\"dim_word\\\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of\",\n \"# multi-gpu case, not necessary in newer PyTorch version or on single GPU.\",\n \"torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9,\",\n \"torch.save(model.state_dict(), model_path) print('model saved to %s' % model_path) with open(opt['model_info_path'], 'a') as f:\",\n \"cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) # compute the token prediction Acc. non_pad_mask =\",\n \"(iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the intermediate generations\",\n \"performance boost, however is not the goal of this work. cap_loss, cap_n_correct =\",\n \"model.cuda() # resume from previous checkpoint if indicated if opt['load_checkpoint'] and opt['resume']: cap_state_dict\",\n \"the goal of this work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True)\",\n \"cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1) # update parameters cap_train_loss =\",\n \"however is not the goal of this work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]),\",\n \"opt['load_checkpoint'] and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer =\",\n \"optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1) # update parameters cap_train_loss = cap_loss.item() cms_train_loss\",\n \"= %d, current lr = %.3E, cap_acc = %.3f, cms_acc = %.3f' %\",\n \"case, not necessary in newer PyTorch version or on single GPU. if opt['cuda']:\",\n \"opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x:\",\n \"of this work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct\",\n \"prediction Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD)\",\n \"cms_labels[:, :-1], cms_vocab, caption=False) print(' \\\\n') with open(opt['info_path'], 'a') as f: f.write('model_%d, cap_loss:\",\n \"# may lead performance boost, however is not the goal of this work.\",\n \"opt['int_max_len'] elif opt['cms'] == 'eff': cms_text_length = opt['eff_max_len'] else: cms_text_length = opt['att_max_len'] #\",\n \"model_parameters = filter(lambda p: p.requires_grad, model.parameters()) params = sum([np.prod(p.size()) for p in model_parameters])\",\n \"cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True) cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:,\",\n \"opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model saved to %s' % model_path) with\",\n \"VideoDataset(opt, 'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size()\",\n \"set the init learning rate as np.power(d_model, -0.5), # grid search indicates different\",\n \"cms_text_length = opt['att_max_len'] # model initialization. from model.S2VTModel import S2VTModel model = S2VTModel(\",\n \"show the intermediate generations if opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab,\",\n \"cms_text_length, opt[\\\"dim_model\\\"], opt[\\\"dim_word\\\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of parameters model_parameters = filter(lambda p:\",\n \"= dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms'] == 'int': cms_text_length = opt['int_max_len'] elif\",\n \"os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ == '__main__': opt\",\n \"as training objective, # advanced loss func. like SELF-CRIT, different loss weights or\",\n \"os.path.join(dir, 'iteration_info_log.log') print('model architecture saved to {} \\\\n {}'.format(info_path, str(model))) with open(info_path, 'a')\",\n \"generations if opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True) cms_pr, cms_gt\",\n \"snapshot to local info_path = os.path.join(dir, 'iteration_info_log.log') print('model architecture saved to {} \\\\n\",\n \"cms_loss: %.6f\\\\n' % (epoch, cap_train_loss, cms_train_loss)) f.write('\\\\n %s \\\\n %s' % (cap_pr, cap_gt))\",\n \"of parameters model_parameters = filter(lambda p: p.requires_grad, model.parameters()) params = sum([np.prod(p.size()) for p\",\n \"% (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): # load and define dataloader dataset =\",\n \"opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad() # cap_probs,\",\n \"%.3f' % (iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the\",\n \"cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:,\",\n \"of learnable parameters are {}'.format(params)) if opt['cuda']: model = model.cuda() # resume from\",\n \"= round(optimizer.init_lr, 3) # create checkpoint output directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'],\",\n \"3) # create checkpoint output directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'],\",\n \"train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ == '__main__': opt = parse_opt()\",\n \"= os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ == '__main__':\",\n \"open(opt['info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n' % (epoch, cap_train_loss, cms_train_loss))\",\n \"non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word =\",\n \"data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs = model(fc_feats,\",\n \"opt['cms'] == 'eff': cms_labels = data['eff_labels'] else: cms_labels = data['att_labels'] if opt['cuda']: fc_feats\",\n \"= cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:],\",\n \"compute the token prediction Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask\",\n \"for p in model_parameters]) print('number of learnable parameters are {}'.format(params)) if opt['cuda']: model\",\n \"cms_labels) # note: currently we just used most naive cross-entropy as training objective,\",\n \"elif opt['cms'] == 'eff': cms_labels = data['eff_labels'] else: cms_labels = data['att_labels'] if opt['cuda']:\",\n \"# update parameters cap_train_loss = cap_loss.item() cms_train_loss = cms_loss.item() # multi-gpu case, not\",\n \"# note: currently we just used most naive cross-entropy as training objective, #\",\n \"if opt['cms'] == 'int': cms_text_length = opt['int_max_len'] elif opt['cms'] == 'eff': cms_text_length =\",\n \"cap_probs, cms_probs = model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos) cap_probs, _, cms_probs, _ =\",\n \"version or on single GPU. if opt['cuda']: torch.cuda.synchronize() iteration += 1 if iteration\",\n \"model.train() for epoch in range(opt['epochs']): iteration = 0 for data in loader: torch.cuda.synchronize()\",\n \"_ = model(fc_feats, cap_labels, cms_labels) # note: currently we just used most naive\",\n \"cap_loss.item() cms_train_loss = cms_loss.item() # multi-gpu case, not necessary in newer PyTorch version\",\n \"os import numpy as np from opts import * from utils.utils import *\",\n \"print('iter %d (epoch %d), cap_train_loss = %.6f, cms_train_loss = %.6f,' ' current step\",\n \"like SELF-CRIT, different loss weights or stronger video feature # may lead performance\",\n \"VideoDataset from model.transformer.Optim import ScheduledOptim def train(loader, model, optimizer, opt, cap_vocab, cms_vocab): model.train()\",\n \"model.Model import Model from torch.utils.data import DataLoader from utils.dataloader import VideoDataset from model.transformer.Optim\",\n \"multi-gpu case, not necessary in newer PyTorch version or on single GPU. if\",\n \"DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms'] == 'int':\",\n \"opt['eff_max_len'] else: cms_text_length = opt['att_max_len'] # model initialization. from model.S2VTModel import S2VTModel model\",\n \"opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir) # save the model snapshot\",\n \"epoch % opt['save_checkpoint_every'] == 0: # save the checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth'\",\n \"= data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs =\",\n \"1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss /=\",\n \"advanced loss func. like SELF-CRIT, different loss weights or stronger video feature #\",\n \"data['eff_labels'] else: cms_labels = data['att_labels'] if opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda()\",\n \"train(loader, model, optimizer, opt, cap_vocab, cms_vocab): model.train() for epoch in range(opt['epochs']): iteration =\",\n \"show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False) print(' \\\\n') with open(opt['info_path'], 'a') as f: f.write('model_%d,\",\n \"for epoch in range(opt['epochs']): iteration = 0 for data in loader: torch.cuda.synchronize() if\",\n \"with open(opt['model_info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n' % (epoch, cap_train_loss/n_word,\",\n \"optimizer, opt, cap_vocab, cms_vocab): model.train() for epoch in range(opt['epochs']): iteration = 0 for\",\n \"cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True)\",\n \"opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ == '__main__': opt = parse_opt() opt = vars(opt)\",\n \"cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the intermediate generations if opt['show_predict']: cap_pr,\",\n \"==0: print('iter %d (epoch %d), cap_train_loss = %.6f, cms_train_loss = %.6f,' ' current\",\n \"parameters model_parameters = filter(lambda p: p.requires_grad, model.parameters()) params = sum([np.prod(p.size()) for p in\",\n \"range(opt['epochs']): iteration = 0 for data in loader: torch.cuda.synchronize() if opt['cms'] == 'int':\",\n \"Training Scropt for V2C captioning task. ''' __author__ = '<NAME>' import os import\",\n \"cap_labels, cap_pos, cms_labels, cms_pos) cap_probs, _, cms_probs, _ = model(fc_feats, cap_labels, cms_labels) #\",\n \"'eff': cms_labels = data['eff_labels'] else: cms_labels = data['att_labels'] if opt['cuda']: fc_feats = data['fc_feats'].cuda()\",\n \"(cap_pr, cap_gt)) f.write('\\\\n %s \\\\n %s' % (cms_pr, cms_gt)) f.write('\\\\n') if epoch %\",\n \"model.transformer.Optim import ScheduledOptim def train(loader, model, optimizer, opt, cap_vocab, cms_vocab): model.train() for epoch\",\n \"if not os.path.exists(dir): os.makedirs(dir) # save the model snapshot to local info_path =\",\n \"model, optimizer, opt, cap_vocab, cms_vocab): model.train() for epoch in range(opt['epochs']): iteration = 0\",\n \"in model_parameters]) print('number of learnable parameters are {}'.format(params)) if opt['cuda']: model = model.cuda()\",\n \"resume from previous checkpoint if indicated if opt['load_checkpoint'] and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint'])\",\n \"import * from utils.utils import * import torch.optim as optim from model.Model import\",\n \"cms_probs, _ = model(fc_feats, cap_labels, cms_labels) # note: currently we just used most\",\n \"initialization. from model.S2VTModel import S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\\\"dim_model\\\"],\",\n \"f: f.write(str(model)) f.write('\\\\n') f.write(str(params)) f.write('\\\\n') # log file directory opt['output_dir'] = dir opt['info_path']\",\n \"%.3E, cap_acc = %.3f, cms_acc = %.3f' % (iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps,\",\n \"\\\\n %s' % (cms_pr, cms_gt)) f.write('\\\\n') if epoch % opt['save_checkpoint_every'] == 0: #\",\n \"note: though we set the init learning rate as np.power(d_model, -0.5), # grid\",\n \"as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt):\",\n \"= dir opt['info_path'] = info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt,\",\n \"opt['save_checkpoint_every'] == 0: # save the checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'],\",\n \"video feature # may lead performance boost, however is not the goal of\",\n \"dataset = VideoDataset(opt, 'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size']\",\n \"== 'eff': cms_text_length = opt['eff_max_len'] else: cms_text_length = opt['att_max_len'] # model initialization. from\",\n \"loader: torch.cuda.synchronize() if opt['cms'] == 'int': cms_labels = data['int_labels'] elif opt['cms'] == 'eff':\",\n \"cap_probs, _, cms_probs, _ = model(fc_feats, cap_labels, cms_labels) # note: currently we just\",\n \"func. like SELF-CRIT, different loss weights or stronger video feature # may lead\",\n \"cap_vocab, caption=True) cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False) print(' \\\\n') with\",\n \"and define dataloader dataset = VideoDataset(opt, 'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size']\",\n \"= cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss /= n_word loss = cms_loss + cap_loss\",\n \"dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not\",\n \"% (iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the intermediate\",\n \"caption=False) print(' \\\\n') with open(opt['info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n'\",\n \"cms_train_loss = %.6f,' ' current step = %d, current lr = %.3E, cap_acc\",\n \"% opt['print_loss_every'] ==0: print('iter %d (epoch %d), cap_train_loss = %.6f, cms_train_loss = %.6f,'\",\n \"create checkpoint output directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'],\",\n \"fc_feats = data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs\",\n \"S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\\\"dim_model\\\"], opt[\\\"dim_word\\\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) #\",\n \"with open(opt['info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n' % (epoch, cap_train_loss,\",\n \"import DataLoader from utils.dataloader import VideoDataset from model.transformer.Optim import ScheduledOptim def train(loader, model,\",\n \"opt['att_max_len'] # model initialization. from model.S2VTModel import S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(),\",\n \"token prediction Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:,\",\n \"/= n_word cms_loss /= n_word loss = cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda\",\n \"model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos) cap_probs, _, cms_probs, _ = model(fc_feats, cap_labels, cms_labels)\",\n \"= cms_loss.item() # multi-gpu case, not necessary in newer PyTorch version or on\",\n \"if opt['cuda']: model = model.cuda() # resume from previous checkpoint if indicated if\",\n \"= VideoDataset(opt, 'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] =\",\n \"= data['att_labels'] if opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels = cms_labels.cuda()\",\n \"= 0 for data in loader: torch.cuda.synchronize() if opt['cms'] == 'int': cms_labels =\",\n \"dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\\\"dim_model\\\"], opt[\\\"dim_word\\\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of parameters model_parameters =\",\n \"opt, cap_vocab, cms_vocab): model.train() for epoch in range(opt['epochs']): iteration = 0 for data\",\n \"DataLoader from utils.dataloader import VideoDataset from model.transformer.Optim import ScheduledOptim def train(loader, model, optimizer,\",\n \"are {}'.format(params)) if opt['cuda']: model = model.cuda() # resume from previous checkpoint if\",\n \"%s \\\\n %s' % (cap_pr, cap_gt)) f.write('\\\\n %s \\\\n %s' % (cms_pr, cms_gt))\",\n \"_, cms_probs, _ = model(fc_feats, cap_labels, cms_labels) # note: currently we just used\",\n \"1:], smoothing=True) # compute the token prediction Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word\",\n \"model_path) print('model saved to %s' % model_path) with open(opt['model_info_path'], 'a') as f: f.write('model_%d,\",\n \"cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False) print(' \\\\n') with open(opt['info_path'], 'a')\",\n \"saved to {} \\\\n {}'.format(info_path, str(model))) with open(info_path, 'a') as f: f.write(str(model)) f.write('\\\\n')\",\n \"np.power(d_model, -0.5), # grid search indicates different LR may improve the results. opt['init_lr']\",\n \"as np from opts import * from utils.utils import * import torch.optim as\",\n \"optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show the intermediate generations if opt['show_predict']: cap_pr, cap_gt\",\n \"print('model architecture saved to {} \\\\n {}'.format(info_path, str(model))) with open(info_path, 'a') as f:\",\n \"save the checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'],\",\n \"= show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False) print(' \\\\n') with open(opt['info_path'], 'a') as f:\",\n \"f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): # load\",\n \"'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n' % (epoch, cap_train_loss, cms_train_loss)) f.write('\\\\n\",\n \"= DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms'] ==\",\n \"dir opt['info_path'] = info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(),\",\n \"1:], smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) # compute the\",\n \"numpy as np from opts import * from utils.utils import * import torch.optim\",\n \"== 0: # save the checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'],\",\n \"cap_labels, cms_labels) # note: currently we just used most naive cross-entropy as training\",\n \"cms_loss: %.6f\\\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): # load and define dataloader\",\n \"'eff': cms_text_length = opt['eff_max_len'] else: cms_text_length = opt['att_max_len'] # model initialization. from model.S2VTModel\",\n \"1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss /= n_word loss = cms_loss\",\n \"most naive cross-entropy as training objective, # advanced loss func. like SELF-CRIT, different\",\n \"optimizer.zero_grad() # cap_probs, cms_probs = model(fc_feats, cap_labels, cap_pos, cms_labels, cms_pos) cap_probs, _, cms_probs,\",\n \"parameters are {}'.format(params)) if opt['cuda']: model = model.cuda() # resume from previous checkpoint\",\n \"# advanced loss func. like SELF-CRIT, different loss weights or stronger video feature\",\n \"print('number of learnable parameters are {}'.format(params)) if opt['cuda']: model = model.cuda() # resume\",\n \"data['int_labels'] elif opt['cms'] == 'eff': cms_labels = data['eff_labels'] else: cms_labels = data['att_labels'] if\",\n \"from opts import * from utils.utils import * import torch.optim as optim from\",\n \"cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss /= n_word loss =\",\n \"(cms_pr, cms_gt)) f.write('\\\\n') if epoch % opt['save_checkpoint_every'] == 0: # save the checkpoint\",\n \"learning rate as np.power(d_model, -0.5), # grid search indicates different LR may improve\",\n \"previous checkpoint if indicated if opt['load_checkpoint'] and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict =\",\n \"training objective, # advanced loss func. like SELF-CRIT, different loss weights or stronger\",\n \"= opt['int_max_len'] elif opt['cms'] == 'eff': cms_text_length = opt['eff_max_len'] else: cms_text_length = opt['att_max_len']\",\n \"(epoch %d), cap_train_loss = %.6f, cms_train_loss = %.6f,' ' current step = %d,\",\n \"= cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1) # update\",\n \"shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms'] == 'int': cms_text_length =\",\n \"if epoch % opt['save_checkpoint_every'] == 0: # save the checkpoint model_path = os.path.join(opt['output_dir'],\",\n \"boost, however is not the goal of this work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1,\",\n \"from utils.dataloader import VideoDataset from model.transformer.Optim import ScheduledOptim def train(loader, model, optimizer, opt,\",\n \"cap_loss /= n_word cms_loss /= n_word loss = cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr()\",\n \"number of parameters model_parameters = filter(lambda p: p.requires_grad, model.parameters()) params = sum([np.prod(p.size()) for\",\n \"% (cms_pr, cms_gt)) f.write('\\\\n') if epoch % opt['save_checkpoint_every'] == 0: # save the\",\n \"learnable parameters are {}'.format(params)) if opt['cuda']: model = model.cuda() # resume from previous\",\n \"cap_gt = show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True) cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:, :-1],\",\n \"f.write('\\\\n') f.write(str(params)) f.write('\\\\n') # log file directory opt['output_dir'] = dir opt['info_path'] = info_path\",\n \"model = model.cuda() # resume from previous checkpoint if indicated if opt['load_checkpoint'] and\",\n \"torch.cuda.synchronize() if opt['cms'] == 'int': cms_labels = data['int_labels'] elif opt['cms'] == 'eff': cms_labels\",\n \"opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if opt['cms'] == 'int': cms_text_length = opt['int_max_len'] elif opt['cms'] ==\",\n \"or on single GPU. if opt['cuda']: torch.cuda.synchronize() iteration += 1 if iteration %\",\n \"opt['print_loss_every'] ==0: print('iter %d (epoch %d), cap_train_loss = %.6f, cms_train_loss = %.6f,' '\",\n \"data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs = model(fc_feats, cap_labels, cap_pos, cms_labels,\",\n \"eps=1e-09), 512, opt['warm_up_steps']) # note: though we set the init learning rate as\",\n \"# note: though we set the init learning rate as np.power(d_model, -0.5), #\",\n \"necessary in newer PyTorch version or on single GPU. if opt['cuda']: torch.cuda.synchronize() iteration\",\n \"iteration = 0 for data in loader: torch.cuda.synchronize() if opt['cms'] == 'int': cms_labels\",\n \"cap_train_loss = %.6f, cms_train_loss = %.6f,' ' current step = %d, current lr\",\n \"if opt['cuda']: torch.cuda.synchronize() iteration += 1 if iteration % opt['print_loss_every'] ==0: print('iter %d\",\n \"'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size() opt['cap_vocab_size'] = dataset.get_cap_vocab_size() if\",\n \"= cap_loss.item() cms_train_loss = cms_loss.item() # multi-gpu case, not necessary in newer PyTorch\",\n \"% (cap_pr, cap_gt)) f.write('\\\\n %s \\\\n %s' % (cms_pr, cms_gt)) f.write('\\\\n') if epoch\",\n \"model_path) with open(opt['model_info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n' % (epoch,\",\n \"import ScheduledOptim def train(loader, model, optimizer, opt, cap_vocab, cms_vocab): model.train() for epoch in\",\n \"init learning rate as np.power(d_model, -0.5), # grid search indicates different LR may\",\n \"as np.power(d_model, -0.5), # grid search indicates different LR may improve the results.\",\n \"filter(lambda p: p.requires_grad, model.parameters()) params = sum([np.prod(p.size()) for p in model_parameters]) print('number of\",\n \"in newer PyTorch version or on single GPU. if opt['cuda']: torch.cuda.synchronize() iteration +=\",\n \"cap_labels = data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad() # cap_probs, cms_probs = model(fc_feats, cap_labels,\",\n \"# save the checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'],\",\n \"info_path = os.path.join(dir, 'iteration_info_log.log') print('model architecture saved to {} \\\\n {}'.format(info_path, str(model))) with\",\n \"Model from torch.utils.data import DataLoader from utils.dataloader import VideoDataset from model.transformer.Optim import ScheduledOptim\",\n \"just used most naive cross-entropy as training objective, # advanced loss func. like\",\n \"opt['cuda']: model = model.cuda() # resume from previous checkpoint if indicated if opt['load_checkpoint']\",\n \"\\\\n') with open(opt['info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n' % (epoch,\",\n \"lr = %.3E, cap_acc = %.3f, cms_acc = %.3f' % (iteration, epoch, cap_train_loss,\",\n \"model = S2VTModel( dataset.get_cap_vocab_size(), dataset.get_cms_vocab_size(), opt['cap_max_len'], cms_text_length, opt[\\\"dim_model\\\"], opt[\\\"dim_word\\\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number\",\n \"= %.3E, cap_acc = %.3f, cms_acc = %.3f' % (iteration, epoch, cap_train_loss, cms_train_loss,\",\n \"stronger video feature # may lead performance boost, however is not the goal\",\n \"0.98), eps=1e-09), 512, opt['warm_up_steps']) # note: though we set the init learning rate\",\n \"model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98),\",\n \"opt['cms'] == 'int': cms_text_length = opt['int_max_len'] elif opt['cms'] == 'eff': cms_text_length = opt['eff_max_len']\",\n \"epoch in range(opt['epochs']): iteration = 0 for data in loader: torch.cuda.synchronize() if opt['cms']\",\n \"np from opts import * from utils.utils import * import torch.optim as optim\",\n \"opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model saved to %s' % model_path) with open(opt['model_info_path'], 'a')\",\n \"= opt['att_max_len'] # model initialization. from model.S2VTModel import S2VTModel model = S2VTModel( dataset.get_cap_vocab_size(),\",\n \"data['att_labels'] if opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels = cms_labels.cuda() optimizer.zero_grad()\",\n \"dataloader dataset = VideoDataset(opt, 'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True) opt['cms_vocab_size'] = dataset.get_cms_vocab_size()\",\n \"model snapshot to local info_path = os.path.join(dir, 'iteration_info_log.log') print('model architecture saved to {}\",\n \"= '<NAME>' import os import numpy as np from opts import * from\",\n \"opt[\\\"dim_word\\\"], opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of parameters model_parameters = filter(lambda p: p.requires_grad, model.parameters())\",\n \"params = sum([np.prod(p.size()) for p in model_parameters]) print('number of learnable parameters are {}'.format(params))\",\n \"cms_labels = data['int_labels'] elif opt['cms'] == 'eff': cms_labels = data['eff_labels'] else: cms_labels =\",\n \"naive cross-entropy as training objective, # advanced loss func. like SELF-CRIT, different loss\",\n \"cap_state_dict = torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad,\",\n \"PyTorch version or on single GPU. if opt['cuda']: torch.cuda.synchronize() iteration += 1 if\",\n \"p in model_parameters]) print('number of learnable parameters are {}'.format(params)) if opt['cuda']: model =\",\n \"= torch.load(opt['load_checkpoint']) model_dict = model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()),\",\n \"p: p.requires_grad, model.parameters()) params = sum([np.prod(p.size()) for p in model_parameters]) print('number of learnable\",\n \"show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True) cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False)\",\n \"opt['dim_vis_feat'], n_layers=opt['rnn_layer']) # number of parameters model_parameters = filter(lambda p: p.requires_grad, model.parameters()) params\",\n \"model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps']) # note: though we set the init\",\n \"ScheduledOptim def train(loader, model, optimizer, opt, cap_vocab, cms_vocab): model.train() for epoch in range(opt['epochs']):\",\n \"cms_gt)) f.write('\\\\n') if epoch % opt['save_checkpoint_every'] == 0: # save the checkpoint model_path\",\n \"\\\\n %s' % (cap_pr, cap_gt)) f.write('\\\\n %s \\\\n %s' % (cms_pr, cms_gt)) f.write('\\\\n')\",\n \"<filename>others/train_RNN.py ''' Training Scropt for V2C captioning task. ''' __author__ = '<NAME>' import\",\n \"directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if\",\n \"opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True) cms_pr, cms_gt = show_prediction(cms_probs,\",\n \"the checkpoint model_path = os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'],\",\n \"cap_train_loss = cap_loss.item() cms_train_loss = cms_loss.item() # multi-gpu case, not necessary in newer\",\n \"cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): # load and define dataloader dataset = VideoDataset(opt, 'train')\",\n \"n_layers=opt['rnn_layer']) # number of parameters model_parameters = filter(lambda p: p.requires_grad, model.parameters()) params =\",\n \"torch.optim as optim from model.Model import Model from torch.utils.data import DataLoader from utils.dataloader\",\n \"%d, current lr = %.3E, cap_acc = %.3f, cms_acc = %.3f' % (iteration,\",\n \"%.6f, cms_loss: %.6f\\\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def main(opt): # load and define\",\n \"opt['cms'] == 'eff': cms_text_length = opt['eff_max_len'] else: cms_text_length = opt['att_max_len'] # model initialization.\",\n \"cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1, cms_probs.shape[-1]),\",\n \"ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps']) # note: though we\",\n \"import * import torch.optim as optim from model.Model import Model from torch.utils.data import\",\n \"if iteration % opt['print_loss_every'] ==0: print('iter %d (epoch %d), cap_train_loss = %.6f, cms_train_loss\",\n \"in range(opt['epochs']): iteration = 0 for data in loader: torch.cuda.synchronize() if opt['cms'] ==\",\n \"saved to %s' % model_path) with open(opt['model_info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f,\",\n \"torch.cuda.synchronize() iteration += 1 if iteration % opt['print_loss_every'] ==0: print('iter %d (epoch %d),\",\n \"work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss, cms_n_correct = cal_performance(cms_probs.view(-1,\",\n \"cms_probs.shape[-1]), cms_labels[:, 1:], smoothing=True) # compute the token prediction Acc. non_pad_mask = cap_labels[:,\",\n \"note: currently we just used most naive cross-entropy as training objective, # advanced\",\n \"x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps']) # note: though we set\",\n \"from utils.utils import * import torch.optim as optim from model.Model import Model from\",\n \"cms_vocab): model.train() for epoch in range(opt['epochs']): iteration = 0 for data in loader:\",\n \"may lead performance boost, however is not the goal of this work. cap_loss,\",\n \".format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'])) if not os.path.exists(dir): os.makedirs(dir) # save\",\n \"checkpoint if indicated if opt['load_checkpoint'] and opt['resume']: cap_state_dict = torch.load(opt['load_checkpoint']) model_dict = model.state_dict()\",\n \"import os import numpy as np from opts import * from utils.utils import\",\n \"import numpy as np from opts import * from utils.utils import * import\",\n \"1) # update parameters cap_train_loss = cap_loss.item() cms_train_loss = cms_loss.item() # multi-gpu case,\",\n \"task. ''' __author__ = '<NAME>' import os import numpy as np from opts\",\n \"if opt['show_predict']: cap_pr, cap_gt = show_prediction(cap_probs, cap_labels[:, :-1], cap_vocab, caption=True) cms_pr, cms_gt =\",\n \"(epoch, cap_train_loss, cms_train_loss)) f.write('\\\\n %s \\\\n %s' % (cap_pr, cap_gt)) f.write('\\\\n %s \\\\n\",\n \"loss weights or stronger video feature # may lead performance boost, however is\",\n \"'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n' % (epoch, cap_train_loss/n_word, cms_train_loss/n_word)) def\",\n \"current lr = %.3E, cap_acc = %.3f, cms_acc = %.3f' % (iteration, epoch,\",\n \"cap_acc = %.3f, cms_acc = %.3f' % (iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'],\",\n \"= data['eff_labels'] else: cms_labels = data['att_labels'] if opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels =\",\n \"search indicates different LR may improve the results. opt['init_lr'] = round(optimizer.init_lr, 3) #\",\n \"else: cms_labels = data['att_labels'] if opt['cuda']: fc_feats = data['fc_feats'].cuda() cap_labels = data['cap_labels'].cuda() cms_labels\",\n \"not the goal of this work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:],\",\n \"opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model saved to %s'\",\n \"= non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss\",\n \"= os.path.join(opt['output_dir'], 'CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}_epoch_{}.pth' .format(opt['cms'], opt['init_lr'], opt['batch_size'], opt['num_layer'], opt['num_head'], opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path)\",\n \"n_word loss = cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr() torch.nn.utils.clip_grad_norm_(filter(lambda p: p.requires_grad, model.parameters()), 1)\",\n \"currently we just used most naive cross-entropy as training objective, # advanced loss\",\n \"%s' % model_path) with open(opt['model_info_path'], 'a') as f: f.write('model_%d, cap_loss: %.6f, cms_loss: %.6f\\\\n'\",\n \"p.requires_grad, model.parameters()) params = sum([np.prod(p.size()) for p in model_parameters]) print('number of learnable parameters\",\n \"load and define dataloader dataset = VideoDataset(opt, 'train') dataloader = DataLoader(dataset, batch_size=opt['batch_size'], shuffle=True)\",\n \"'a') as f: f.write(str(model)) f.write('\\\\n') f.write(str(params)) f.write('\\\\n') # log file directory opt['output_dir'] =\",\n \"cap_labels[:, :-1], cap_vocab, caption=True) cms_pr, cms_gt = show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False) print('\",\n \"= info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if\",\n \"rate as np.power(d_model, -0.5), # grid search indicates different LR may improve the\",\n \"opt['init_lr'] = round(optimizer.init_lr, 3) # create checkpoint output directory dir = os.path.join(opt['checkpoint_path'], 'S2VT_CMS_CAP_MODEL_{}_lr_{}_BS_{}_Layer_{}_ATTHEAD_{}_HID_{}_RNNLayer_{}'\",\n \"= %.3f' % (iteration, epoch, cap_train_loss, cms_train_loss, optimizer.n_current_steps, optimizer._optimizer.param_groups[0]['lr'], cap_n_correct/n_word, cms_n_correct/cms_n_word)) # show\",\n \"'<NAME>' import os import numpy as np from opts import * from utils.utils\",\n \"for data in loader: torch.cuda.synchronize() if opt['cms'] == 'int': cms_labels = data['int_labels'] elif\",\n \"parameters cap_train_loss = cap_loss.item() cms_train_loss = cms_loss.item() # multi-gpu case, not necessary in\",\n \"''' __author__ = '<NAME>' import os import numpy as np from opts import\",\n \"model_parameters]) print('number of learnable parameters are {}'.format(params)) if opt['cuda']: model = model.cuda() #\",\n \"iteration += 1 if iteration % opt['print_loss_every'] ==0: print('iter %d (epoch %d), cap_train_loss\",\n \"grid search indicates different LR may improve the results. opt['init_lr'] = round(optimizer.init_lr, 3)\",\n \"from model.transformer.Optim import ScheduledOptim def train(loader, model, optimizer, opt, cap_vocab, cms_vocab): model.train() for\",\n \"info_path opt['model_info_path'] = os.path.join(opt['output_dir'], 'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__\",\n \"non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word = cms_non_pad_mask.sum().item() cap_loss /= n_word cms_loss /=\",\n \"cms_gt = show_prediction(cms_probs, cms_labels[:, :-1], cms_vocab, caption=False) print(' \\\\n') with open(opt['info_path'], 'a') as\",\n \"Acc. non_pad_mask = cap_labels[:, 1:].ne(Constants.PAD) n_word = non_pad_mask.sum().item() cms_non_pad_mask = cms_labels[:, 1:].ne(Constants.PAD) cms_n_word\",\n \"opt['dim_model'], opt['rnn_layer'], epoch)) torch.save(model.state_dict(), model_path) print('model saved to %s' % model_path) with open(opt['model_info_path'],\",\n \"== 'int': cms_text_length = opt['int_max_len'] elif opt['cms'] == 'eff': cms_text_length = opt['eff_max_len'] else:\",\n \"'checkpoint_loss_log.log') train(dataloader, model, optimizer, opt, dataset.get_cap_vocab(), dataset.get_cms_vocab()) if __name__ == '__main__': opt =\",\n \"model.state_dict() model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512,\",\n \"to local info_path = os.path.join(dir, 'iteration_info_log.log') print('model architecture saved to {} \\\\n {}'.format(info_path,\",\n \"%.6f\\\\n' % (epoch, cap_train_loss, cms_train_loss)) f.write('\\\\n %s \\\\n %s' % (cap_pr, cap_gt)) f.write('\\\\n\",\n \"LR may improve the results. opt['init_lr'] = round(optimizer.init_lr, 3) # create checkpoint output\",\n \"goal of this work. cap_loss, cap_n_correct = cal_performance(cap_probs.view(-1, cap_probs.shape[-1]), cap_labels[:, 1:], smoothing=True) cms_loss,\",\n \"we just used most naive cross-entropy as training objective, # advanced loss func.\"\n]","isConversational":false}}},{"rowIdx":1981,"cells":{"ngram":{"kind":"list like","value":["\"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\" url = \"http://localhost:9999\" client = InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api() write_api.write(\"my-bucket\",","token = \"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\" url = \"http://localhost:9999\" client = InfluxDBClient(url=url, token=token, org=org) writeApi =","Monitor\" token = \"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\" url = \"http://localhost:9999\" client = InfluxDBClient(url=url, token=token, org=org) writeApi","import InfluxDBClient bucket = \"python-client-sandbox\" org = \"Energy Monitor\" token = \"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\" url","client = InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api() write_api.write(\"my-bucket\", \"my-org\", [{\"measurement\": \"h2o_feet\", \"tags\":","InfluxDBClient bucket = \"python-client-sandbox\" org = \"Energy Monitor\" token = \"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\" url =","InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api() write_api.write(\"my-bucket\", \"my-org\", [{\"measurement\": \"h2o_feet\", \"tags\": {\"location\": \"coyote_creek\"},","= \"python-client-sandbox\" org = \"Energy Monitor\" token = \"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\" url = \"http://localhost:9999\" client","= \"Energy Monitor\" token = \"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\" url = \"http://localhost:9999\" client = InfluxDBClient(url=url, token=token,","= client.write_api() write_api.write(\"my-bucket\", \"my-org\", [{\"measurement\": \"h2o_feet\", \"tags\": {\"location\": \"coyote_creek\"}, \"fields\": {\"water_level\": 1}, \"time\":","\"python-client-sandbox\" org = \"Energy Monitor\" token = \"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\" url = \"http://localhost:9999\" client =","bucket = \"python-client-sandbox\" org = \"Energy Monitor\" token = \"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\" url = \"http://localhost:9999\"","= \"http://localhost:9999\" client = InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api() write_api.write(\"my-bucket\", \"my-org\", [{\"measurement\":","\"http://localhost:9999\" client = InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api() write_api.write(\"my-bucket\", \"my-org\", [{\"measurement\": \"h2o_feet\",","<filename>new-influx-client.py<gh_stars>0 import influxdb_client from influxdb_client import InfluxDBClient bucket = \"python-client-sandbox\" org = \"Energy","org = \"Energy Monitor\" token = \"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\" url = \"http://localhost:9999\" client = InfluxDBClient(url=url,","= \"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\" url = \"http://localhost:9999\" client = InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api()","= InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api() write_api.write(\"my-bucket\", \"my-org\", [{\"measurement\": \"h2o_feet\", \"tags\": {\"location\":","from influxdb_client import InfluxDBClient bucket = \"python-client-sandbox\" org = \"Energy Monitor\" token =","influxdb_client from influxdb_client import InfluxDBClient bucket = \"python-client-sandbox\" org = \"Energy Monitor\" token","influxdb_client import InfluxDBClient bucket = \"python-client-sandbox\" org = \"Energy Monitor\" token = \"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\"","writeApi = client.write_api() write_api.write(\"my-bucket\", \"my-org\", [{\"measurement\": \"h2o_feet\", \"tags\": {\"location\": \"coyote_creek\"}, \"fields\": {\"water_level\": 1},","url = \"http://localhost:9999\" client = InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api() write_api.write(\"my-bucket\", \"my-org\",","\"Energy Monitor\" token = \"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\" url = \"http://localhost:9999\" client = InfluxDBClient(url=url, token=token, org=org)","import influxdb_client from influxdb_client import InfluxDBClient bucket = \"python-client-sandbox\" org = \"Energy Monitor\"","org=org) writeApi = client.write_api() write_api.write(\"my-bucket\", \"my-org\", [{\"measurement\": \"h2o_feet\", \"tags\": {\"location\": \"coyote_creek\"}, \"fields\": {\"water_level\":","token=token, org=org) writeApi = client.write_api() write_api.write(\"my-bucket\", \"my-org\", [{\"measurement\": \"h2o_feet\", \"tags\": {\"location\": \"coyote_creek\"}, \"fields\":","client.write_api() write_api.write(\"my-bucket\", \"my-org\", [{\"measurement\": \"h2o_feet\", \"tags\": {\"location\": \"coyote_creek\"}, \"fields\": {\"water_level\": 1}, \"time\": 1}])"],"string":"[\n \"\\\"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\\\" url = \\\"http://localhost:9999\\\" client = InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api() write_api.write(\\\"my-bucket\\\",\",\n \"token = \\\"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\\\" url = \\\"http://localhost:9999\\\" client = InfluxDBClient(url=url, token=token, org=org) writeApi =\",\n \"Monitor\\\" token = \\\"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\\\" url = \\\"http://localhost:9999\\\" client = InfluxDBClient(url=url, token=token, org=org) writeApi\",\n \"import InfluxDBClient bucket = \\\"python-client-sandbox\\\" org = \\\"Energy Monitor\\\" token = \\\"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\\\" url\",\n \"client = InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api() write_api.write(\\\"my-bucket\\\", \\\"my-org\\\", [{\\\"measurement\\\": \\\"h2o_feet\\\", \\\"tags\\\":\",\n \"InfluxDBClient bucket = \\\"python-client-sandbox\\\" org = \\\"Energy Monitor\\\" token = \\\"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\\\" url =\",\n \"InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api() write_api.write(\\\"my-bucket\\\", \\\"my-org\\\", [{\\\"measurement\\\": \\\"h2o_feet\\\", \\\"tags\\\": {\\\"location\\\": \\\"coyote_creek\\\"},\",\n \"= \\\"python-client-sandbox\\\" org = \\\"Energy Monitor\\\" token = \\\"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\\\" url = \\\"http://localhost:9999\\\" client\",\n \"= \\\"Energy Monitor\\\" token = \\\"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\\\" url = \\\"http://localhost:9999\\\" client = InfluxDBClient(url=url, token=token,\",\n \"= client.write_api() write_api.write(\\\"my-bucket\\\", \\\"my-org\\\", [{\\\"measurement\\\": \\\"h2o_feet\\\", \\\"tags\\\": {\\\"location\\\": \\\"coyote_creek\\\"}, \\\"fields\\\": {\\\"water_level\\\": 1}, \\\"time\\\":\",\n \"\\\"python-client-sandbox\\\" org = \\\"Energy Monitor\\\" token = \\\"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\\\" url = \\\"http://localhost:9999\\\" client =\",\n \"bucket = \\\"python-client-sandbox\\\" org = \\\"Energy Monitor\\\" token = \\\"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\\\" url = \\\"http://localhost:9999\\\"\",\n \"= \\\"http://localhost:9999\\\" client = InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api() write_api.write(\\\"my-bucket\\\", \\\"my-org\\\", [{\\\"measurement\\\":\",\n \"\\\"http://localhost:9999\\\" client = InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api() write_api.write(\\\"my-bucket\\\", \\\"my-org\\\", [{\\\"measurement\\\": \\\"h2o_feet\\\",\",\n \"<filename>new-influx-client.py<gh_stars>0 import influxdb_client from influxdb_client import InfluxDBClient bucket = \\\"python-client-sandbox\\\" org = \\\"Energy\",\n \"org = \\\"Energy Monitor\\\" token = \\\"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\\\" url = \\\"http://localhost:9999\\\" client = InfluxDBClient(url=url,\",\n \"= \\\"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\\\" url = \\\"http://localhost:9999\\\" client = InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api()\",\n \"= InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api() write_api.write(\\\"my-bucket\\\", \\\"my-org\\\", [{\\\"measurement\\\": \\\"h2o_feet\\\", \\\"tags\\\": {\\\"location\\\":\",\n \"from influxdb_client import InfluxDBClient bucket = \\\"python-client-sandbox\\\" org = \\\"Energy Monitor\\\" token =\",\n \"influxdb_client from influxdb_client import InfluxDBClient bucket = \\\"python-client-sandbox\\\" org = \\\"Energy Monitor\\\" token\",\n \"influxdb_client import InfluxDBClient bucket = \\\"python-client-sandbox\\\" org = \\\"Energy Monitor\\\" token = \\\"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\\\"\",\n \"writeApi = client.write_api() write_api.write(\\\"my-bucket\\\", \\\"my-org\\\", [{\\\"measurement\\\": \\\"h2o_feet\\\", \\\"tags\\\": {\\\"location\\\": \\\"coyote_creek\\\"}, \\\"fields\\\": {\\\"water_level\\\": 1},\",\n \"url = \\\"http://localhost:9999\\\" client = InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api() write_api.write(\\\"my-bucket\\\", \\\"my-org\\\",\",\n \"\\\"Energy Monitor\\\" token = \\\"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\\\" url = \\\"http://localhost:9999\\\" client = InfluxDBClient(url=url, token=token, org=org)\",\n \"import influxdb_client from influxdb_client import InfluxDBClient bucket = \\\"python-client-sandbox\\\" org = \\\"Energy Monitor\\\"\",\n \"org=org) writeApi = client.write_api() write_api.write(\\\"my-bucket\\\", \\\"my-org\\\", [{\\\"measurement\\\": \\\"h2o_feet\\\", \\\"tags\\\": {\\\"location\\\": \\\"coyote_creek\\\"}, \\\"fields\\\": {\\\"water_level\\\":\",\n \"token=token, org=org) writeApi = client.write_api() write_api.write(\\\"my-bucket\\\", \\\"my-org\\\", [{\\\"measurement\\\": \\\"h2o_feet\\\", \\\"tags\\\": {\\\"location\\\": \\\"coyote_creek\\\"}, \\\"fields\\\":\",\n \"client.write_api() write_api.write(\\\"my-bucket\\\", \\\"my-org\\\", [{\\\"measurement\\\": \\\"h2o_feet\\\", \\\"tags\\\": {\\\"location\\\": \\\"coyote_creek\\\"}, \\\"fields\\\": {\\\"water_level\\\": 1}, \\\"time\\\": 1}])\"\n]","isConversational":false}}},{"rowIdx":1982,"cells":{"ngram":{"kind":"list like","value":["def test_wrap_long_line(self): class Foobar(object): a = \" \" * 90 output = StringIO()","KIND, either express or implied. # See the License for the specific language","Unless required by applicable law or agreed to in writing, software # distributed","textwrap import dedent try: from unittest.mock import patch except ImportError: # pragma: no","cover from mock import patch from twisted.internet.protocol import ServerFactory from twisted.cred.portal import Portal","Portal) # There could be multiple password checkers, check for the one #","\"yes\", {}, 0.0 output = StringIO() with patch(\"sys.stdout\", output): show(Foobar) output.seek(0) output =","manhole_factory(namespace, username, password) self.assertEqual(namespace, {\"bob\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\"bob\": None, \"pp\": pprint, \"show\":","this file except in compliance with the License. # You may obtain a","from pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show)","break else: self.fail(\"Failed to find correct username and password.\") def test_request_avatar(self): realm =","'tests.test_agent.test_manhole.Foobar'> a : True b : 1 c : yes d : {}","transport = factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace = {\"bob\": None}","with patch(\"sys.stdout\", output): show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual( output, dedent(\"\"\" data attributes","TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace = {\"bob\":","= True if found: break else: self.fail(\"Failed to find correct username and password.\")","import randint from StringIO import StringIO from textwrap import dedent try: from unittest.mock","GET_PEER_CALLS = 0 class terminal(object): RIGHT_ARROW, LEFT_ARROW = None, None class transport(object): @classmethod","avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self):","<NAME> # # Licensed under the Apache License, Version 2.0 (the \"License\"); #","ANY KIND, either express or implied. # See the License for the specific","output, dedent(\"\"\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : True b : 1","username, password) output = StringIO() with patch(\"sys.stdout\", output): show() output.seek(0) output = output.getvalue().strip()","governing permissions and # limitations under the License. import os from collections import","namedtuple from pprint import pprint from random import randint from StringIO import StringIO","to find correct username and password.\") def test_request_avatar(self): realm = TelnetRealm() avatar =","Foobar(object): a = \" \" * 90 output = StringIO() with patch(\"sys.stdout\", output):","FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None,","username and password.\") def test_request_avatar(self): realm = TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar),","LEFT_ARROW = None, None class transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return","username, password) self.assertEqual(namespace, {\"bob\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\"bob\": None, \"pp\": pprint, \"show\": show})","= manhole_factory(namespace, username, password) self.assertEqual(namespace, {\"bob\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\"bob\": None, \"pp\": pprint,","def test_uses_namespace(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace,","WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See","self.assertRaises(AssertionError): manhole_factory({}, \"\", None) def test_instance_one(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\")","None, None class transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\"hex\"), randint(1024,","{\"bob\": None} username = os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) with self.assertRaises(AssertionError):","IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or","self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self): factory = TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport, TelnetTransport)","RIGHT_ARROW, LEFT_ARROW = None, None class transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1","test_instance(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password = <PASSWORD>andom(32).encode(\"hex\") manhole =","self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There could be multiple password checkers,","Foobar(object): a, b, c, d, e = True, 1, \"yes\", {}, 0.0 output","from textwrap import dedent try: from unittest.mock import patch except ImportError: # pragma:","OF ANY KIND, either express or implied. # See the License for the","output.seek(0) output = output.getvalue().strip() self.assertEqual(output, \"objects: ['bob', 'pp', 'show']\") def test_custom_object(self): class Foobar(object):","imported # # Copyright 2014 <NAME> # # Licensed under the Apache License,","(\"host\", \"port\")) class FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS = 0 class terminal(object): RIGHT_ARROW,","== password: found = True if found: break else: self.fail(\"Failed to find correct","self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm = TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None,","in instance.users.items(): if user == username and passwd == password: found = True","= realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm","def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\"hex\"), randint(1024, 65535)) def handle_QUIT(self): self.QUIT =","terminal(object): RIGHT_ARROW, LEFT_ARROW = None, None class transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS +=","under the License. import os from collections import namedtuple from pprint import pprint","os from collections import namedtuple from pprint import pprint from random import randint","TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self): factory = TransportProtocolFactory(None) transport = factory()","{} (0 elements) e : 0.0 \"\"\").strip()) def test_wrap_long_line(self): class Foobar(object): a =","shebang line, this module is meant to be imported # # Copyright 2014","def test_instance(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password = <PASSWORD>andom(32).encode(\"hex\") manhole","class Foobar(object): a = \" \" * 90 output = StringIO() with patch(\"sys.stdout\",","self.assertRaises(AssertionError): manhole_factory(None, \"\", \"\") with self.assertRaises(AssertionError): manhole_factory({}, None, \"\") with self.assertRaises(AssertionError): manhole_factory({}, \"\",","import StringIO from textwrap import dedent try: from unittest.mock import patch except ImportError:","1 c : yes d : {} (0 elements) e : 0.0 \"\"\").strip())","user == username and passwd == password: found = True if found: break","output = StringIO() with patch(\"sys.stdout\", output): show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual( output,","self.assertEqual( TelnetRealm.NAMESPACE, {\"bob\": None, \"pp\": pprint, \"show\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal,","True b : 1 c : yes d : {} (0 elements) e","from twisted.internet.protocol import ServerFactory from twisted.cred.portal import Portal from twisted.conch.telnet import ( ITelnetProtocol,","output, dedent(\"\"\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : ' \"\"\" + \"\"\"","of <class 'tests.test_agent.test_manhole.Foobar'> a : True b : 1 c : yes d","software # distributed under the License is distributed on an \"AS IS\" BASIS,","os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) with self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def test_instance(self): namespace =","# There could be multiple password checkers, check for the one # we","for user, passwd in instance.users.items(): if user == username and passwd == password:","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to","self.assertRaises(AssertionError): manhole_factory({}, None, \"\") with self.assertRaises(AssertionError): manhole_factory({}, \"\", None) def test_instance_one(self): namespace =","def test_request_avatar_error(self): realm = TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self): factory =","class Foobar(object): a, b, c, d, e = True, 1, \"yes\", {}, 0.0","\"objects: ['bob', 'pp', 'show']\") def test_custom_object(self): class Foobar(object): a, b, c, d, e","<class 'tests.test_agent.test_manhole.Foobar'> a : ' \"\"\" + \"\"\" '... \"\"\").strip()) class TestLoggingManhole(TestManholeBase): def","with self.assertRaises(AssertionError): manhole_factory(None, \"\", \"\") with self.assertRaises(AssertionError): manhole_factory({}, None, \"\") with self.assertRaises(AssertionError): manhole_factory({},","under the License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","output = output.getvalue().strip() self.assertEqual( output, dedent(\"\"\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a :","d, e = True, 1, \"yes\", {}, 0.0 output = StringIO() with patch(\"sys.stdout\",","correct username and password.\") def test_request_avatar(self): realm = TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol)","test_protocol_factory(self): factory = TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self):","passwd in instance.users.items(): if user == username and passwd == password: found =","\"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express","0 FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \"\", \"\")","passwd == password: found = True if found: break else: self.fail(\"Failed to find","pragma: no cover from mock import patch from twisted.internet.protocol import ServerFactory from twisted.cred.portal","if user == username and passwd == password: found = True if found:","realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm =","required by applicable law or agreed to in writing, software # distributed under","# pragma: no cover from mock import patch from twisted.internet.protocol import ServerFactory from","username = os.urandom(32).encode(\"hex\") password = <PASSWORD>andom(32).encode(\"hex\") manhole = manhole_factory(namespace, username, password) self.assertEqual(namespace, {\"bob\":","return Peer(os.urandom(12).encode(\"hex\"), randint(1024, 65535)) def handle_QUIT(self): self.QUIT = True class TestManholeBase(TestCase): def setUp(self):","'tests.test_agent.test_manhole.Foobar'> a : ' \"\"\" + \"\"\" '... \"\"\").strip()) class TestLoggingManhole(TestManholeBase): def test_line_received(self):","applicable law or agreed to in writing, software # distributed under the License","manhole.protocol.portal.checkers.items(): found = False for user, passwd in instance.users.items(): if user == username","# # Copyright 2014 <NAME> # # Licensed under the Apache License, Version","output): show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual( output, dedent(\"\"\" data attributes of <class","found: break else: self.fail(\"Failed to find correct username and password.\") def test_request_avatar(self): realm","None, \"\") with self.assertRaises(AssertionError): manhole_factory({}, \"\", None) def test_instance_one(self): namespace = {\"bob\": None}","def handle_QUIT(self): self.QUIT = True class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS","import TestCase from pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer =","or agreed to in writing, software # distributed under the License is distributed","realm = TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self): factory = TransportProtocolFactory(None) transport","password) self.assertEqual(namespace, {\"bob\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\"bob\": None, \"pp\": pprint, \"show\": show}) self.assertIsInstance(manhole,","patch from twisted.internet.protocol import ServerFactory from twisted.cred.portal import Portal from twisted.conch.telnet import (","show) Peer = namedtuple(\"Peer\", (\"host\", \"port\")) class FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS =","CONDITIONS OF ANY KIND, either express or implied. # See the License for","else: self.fail(\"Failed to find correct username and password.\") def test_request_avatar(self): realm = TelnetRealm()","d : {} (0 elements) e : 0.0 \"\"\").strip()) def test_wrap_long_line(self): class Foobar(object):","self.assertEqual( output, dedent(\"\"\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : ' \"\"\" +","= namedtuple(\"Peer\", (\"host\", \"port\")) class FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS = 0 class","test_request_avatar(self): realm = TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1],","{\"bob\": None, \"pp\": pprint, \"show\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) #","'pp', 'show']\") def test_custom_object(self): class Foobar(object): a, b, c, d, e = True,","None) def test_instance_one(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\")","from mock import patch from twisted.internet.protocol import ServerFactory from twisted.cred.portal import Portal from","module is meant to be imported # # Copyright 2014 <NAME> # #","under the Apache License, Version 2.0 (the \"License\"); # you may not use","writing, software # distributed under the License is distributed on an \"AS IS\"",": 0.0 \"\"\").strip()) def test_wrap_long_line(self): class Foobar(object): a = \" \" * 90","from pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer = namedtuple(\"Peer\", (\"host\",","You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","= os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) with self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def test_instance(self): namespace","StringIO() with patch(\"sys.stdout\", output): show() output.seek(0) output = output.getvalue().strip() self.assertEqual(output, \"objects: ['bob', 'pp',","handle_QUIT(self): self.QUIT = True class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS =","unittest.mock import patch except ImportError: # pragma: no cover from mock import patch","License. # You may obtain a copy of the License at # #","= os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) with self.assertRaises(AssertionError): manhole_factory(namespace, username, password)","\"port\")) class FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS = 0 class terminal(object): RIGHT_ARROW, LEFT_ARROW","\"\", None) def test_instance_one(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password =","compliance with the License. # You may obtain a copy of the License","( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole import ( LoggingManhole,","password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) output = StringIO() with patch(\"sys.stdout\", output): show()",": yes d : {} (0 elements) e : 0.0 \"\"\").strip()) def test_wrap_long_line(self):","except ImportError: # pragma: no cover from mock import patch from twisted.internet.protocol import","getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\"hex\"), randint(1024, 65535)) def handle_QUIT(self): self.QUIT = True","os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) output = StringIO() with patch(\"sys.stdout\", output): show() output.seek(0) output","have added. for _, instance in manhole.protocol.portal.checkers.items(): found = False for user, passwd","for the specific language governing permissions and # limitations under the License. import","class terminal(object): RIGHT_ARROW, LEFT_ARROW = None, None class transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS","output = output.getvalue().strip() self.assertEqual(output, \"objects: ['bob', 'pp', 'show']\") def test_custom_object(self): class Foobar(object): a,","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","we should have added. for _, instance in manhole.protocol.portal.checkers.items(): found = False for","specific language governing permissions and # limitations under the License. import os from","namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password)","= TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2]))","True, 1, \"yes\", {}, 0.0 output = StringIO() with patch(\"sys.stdout\", output): show(Foobar) output.seek(0)","and passwd == password: found = True if found: break else: self.fail(\"Failed to","<PASSWORD>andom(32).encode(\"hex\") manhole = manhole_factory(namespace, username, password) self.assertEqual(namespace, {\"bob\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\"bob\": None,","attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : ' \"\"\" + \"\"\" '... \"\"\").strip()) class","= None, None class transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\"hex\"),","username and passwd == password: found = True if found: break else: self.fail(\"Failed","username = os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) with self.assertRaises(AssertionError): manhole_factory(namespace, username,","= factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace = {\"bob\": None} username","# No shebang line, this module is meant to be imported # #","not use this file except in compliance with the License. # You may","\"pp\": pprint, \"show\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There could","pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer = namedtuple(\"Peer\", (\"host\", \"port\"))","pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer","License, Version 2.0 (the \"License\"); # you may not use this file except","_, instance in manhole.protocol.portal.checkers.items(): found = False for user, passwd in instance.users.items(): if","distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY","TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm = TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self):","mock import patch from twisted.internet.protocol import ServerFactory from twisted.cred.portal import Portal from twisted.conch.telnet","# you may not use this file except in compliance with the License.","a : True b : 1 c : yes d : {} (0","randint from StringIO import StringIO from textwrap import dedent try: from unittest.mock import","'show']\") def test_custom_object(self): class Foobar(object): a, b, c, d, e = True, 1,","manhole_factory(namespace, username, password) def test_instance(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password","agreed to in writing, software # distributed under the License is distributed on","(the \"License\"); # you may not use this file except in compliance with","class FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS = 0 class terminal(object): RIGHT_ARROW, LEFT_ARROW =","elements) e : 0.0 \"\"\").strip()) def test_wrap_long_line(self): class Foobar(object): a = \" \"","TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory, TelnetRealm,","class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT = False","def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \"\", \"\") with self.assertRaises(AssertionError): manhole_factory({}, None, \"\") with","0 class terminal(object): RIGHT_ARROW, LEFT_ARROW = None, None class transport(object): @classmethod def getPeer(cls):","['bob', 'pp', 'show']\") def test_custom_object(self): class Foobar(object): a, b, c, d, e =","Copyright 2014 <NAME> # # Licensed under the Apache License, Version 2.0 (the","# Unless required by applicable law or agreed to in writing, software #","by applicable law or agreed to in writing, software # distributed under the","\"\"\").strip()) def test_wrap_long_line(self): class Foobar(object): a = \" \" * 90 output =","the one # we know we should have added. for _, instance in","and password.\") def test_request_avatar(self): realm = TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3)","65535)) def handle_QUIT(self): self.QUIT = True class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE = None","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","1 return Peer(os.urandom(12).encode(\"hex\"), randint(1024, 65535)) def handle_QUIT(self): self.QUIT = True class TestManholeBase(TestCase): def","{}, 0.0 output = StringIO() with patch(\"sys.stdout\", output): show(Foobar) output.seek(0) output = output.getvalue().strip()","self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\")","limitations under the License. import os from collections import namedtuple from pprint import","the License. import os from collections import namedtuple from pprint import pprint from","TelnetTransport) from pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory,","file except in compliance with the License. # You may obtain a copy","FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS = 0 class terminal(object): RIGHT_ARROW, LEFT_ARROW = None,","TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def","None}) self.assertEqual( TelnetRealm.NAMESPACE, {\"bob\": None, \"pp\": pprint, \"show\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory)","data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : True b : 1 c :","twisted.internet.protocol import ServerFactory from twisted.cred.portal import Portal from twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol,","TestCase from pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer = namedtuple(\"Peer\",","0.0 \"\"\").strip()) def test_wrap_long_line(self): class Foobar(object): a = \" \" * 90 output","test_wrap_long_line(self): class Foobar(object): a = \" \" * 90 output = StringIO() with","License for the specific language governing permissions and # limitations under the License.","patch(\"sys.stdout\", output): show() output.seek(0) output = output.getvalue().strip() self.assertEqual(output, \"objects: ['bob', 'pp', 'show']\") def","yes d : {} (0 elements) e : 0.0 \"\"\").strip()) def test_wrap_long_line(self): class","to in writing, software # distributed under the License is distributed on an","None} username = os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) with self.assertRaises(AssertionError): manhole_factory(namespace,","test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \"\", \"\") with self.assertRaises(AssertionError): manhole_factory({}, None, \"\") with self.assertRaises(AssertionError):","this module is meant to be imported # # Copyright 2014 <NAME> #","from StringIO import StringIO from textwrap import dedent try: from unittest.mock import patch","implied. # See the License for the specific language governing permissions and #","password.\") def test_request_avatar(self): realm = TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0],","\"License\"); # you may not use this file except in compliance with the","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","= {\"bob\": None} username = os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) output","* 90 output = StringIO() with patch(\"sys.stdout\", output): show(Foobar) output.seek(0) output = output.getvalue().strip()","a = \" \" * 90 output = StringIO() with patch(\"sys.stdout\", output): show(Foobar)","check for the one # we know we should have added. for _,","\"\"\" + \"\"\" '... \"\"\").strip()) class TestLoggingManhole(TestManholeBase): def test_line_received(self): f = FakeLoggingManhole() f.lineReceived(\"exit\")","we know we should have added. for _, instance in manhole.protocol.portal.checkers.items(): found =","self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm = TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self): factory","= <PASSWORD>andom(32).encode(\"hex\") manhole = manhole_factory(namespace, username, password) self.assertEqual(namespace, {\"bob\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\"bob\":","manhole_factory, show) Peer = namedtuple(\"Peer\", (\"host\", \"port\")) class FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS","TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \"\", \"\") with self.assertRaises(AssertionError): manhole_factory({}, None, \"\")","the specific language governing permissions and # limitations under the License. import os","or implied. # See the License for the specific language governing permissions and","output.getvalue().strip() self.assertEqual( output, dedent(\"\"\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : True b","line, this module is meant to be imported # # Copyright 2014 <NAME>","StringIO import StringIO from textwrap import dedent try: from unittest.mock import patch except","Apache License, Version 2.0 (the \"License\"); # you may not use this file","OR CONDITIONS OF ANY KIND, either express or implied. # See the License","may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","+ \"\"\" '... \"\"\").strip()) class TestLoggingManhole(TestManholeBase): def test_line_received(self): f = FakeLoggingManhole() f.lineReceived(\"exit\") self.assertTrue(f.QUIT)","username = os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) output = StringIO() with","False for user, passwd in instance.users.items(): if user == username and passwd ==","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,","in writing, software # distributed under the License is distributed on an \"AS","self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm = TelnetRealm() with","def test_request_avatar(self): realm = TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol)","class transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\"hex\"), randint(1024, 65535)) def","randint(1024, 65535)) def handle_QUIT(self): self.QUIT = True class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE =","True if found: break else: self.fail(\"Failed to find correct username and password.\") def","with self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def test_instance(self): namespace = {\"bob\": None} username =","manhole_factory(None, \"\", \"\") with self.assertRaises(AssertionError): manhole_factory({}, None, \"\") with self.assertRaises(AssertionError): manhole_factory({}, \"\", None)","# See the License for the specific language governing permissions and # limitations","the License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR","e : 0.0 \"\"\").strip()) def test_wrap_long_line(self): class Foobar(object): a = \" \" *","FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\"hex\"), randint(1024, 65535)) def handle_QUIT(self): self.QUIT = True class","def test_instance_one(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace,","None) def test_protocol_factory(self): factory = TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase):","= os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) output = StringIO() with patch(\"sys.stdout\", output): show() output.seek(0)","be imported # # Copyright 2014 <NAME> # # Licensed under the Apache","class TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \"\", \"\") with self.assertRaises(AssertionError): manhole_factory({}, None,","\"\") with self.assertRaises(AssertionError): manhole_factory({}, None, \"\") with self.assertRaises(AssertionError): manhole_factory({}, \"\", None) def test_instance_one(self):","in manhole.protocol.portal.checkers.items(): found = False for user, passwd in instance.users.items(): if user ==","\" \" * 90 output = StringIO() with patch(\"sys.stdout\", output): show(Foobar) output.seek(0) output","random import randint from StringIO import StringIO from textwrap import dedent try: from","realm.requestAvatar(None, None) def test_protocol_factory(self): factory = TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport, TelnetTransport) class","StringIO() with patch(\"sys.stdout\", output): show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual( output, dedent(\"\"\" data","the Apache License, Version 2.0 (the \"License\"); # you may not use this","password) with self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def test_instance(self): namespace = {\"bob\": None} username","you may not use this file except in compliance with the License. #","# we know we should have added. for _, instance in manhole.protocol.portal.checkers.items(): found","There could be multiple password checkers, check for the one # we know","and # limitations under the License. import os from collections import namedtuple from","os.urandom(32).encode(\"hex\") password = <PASSWORD>andom(32).encode(\"hex\") manhole = manhole_factory(namespace, username, password) self.assertEqual(namespace, {\"bob\": None}) self.assertEqual(","def test_custom_object(self): class Foobar(object): a, b, c, d, e = True, 1, \"yes\",","2014 <NAME> # # Licensed under the Apache License, Version 2.0 (the \"License\");","None class transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\"hex\"), randint(1024, 65535))","language governing permissions and # limitations under the License. import os from collections","None} username = os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) output = StringIO()","find correct username and password.\") def test_request_avatar(self): realm = TelnetRealm() avatar = realm.requestAvatar(None,","= os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) output = StringIO() with patch(\"sys.stdout\",","found = True if found: break else: self.fail(\"Failed to find correct username and","for _, instance in manhole.protocol.portal.checkers.items(): found = False for user, passwd in instance.users.items():","use this file except in compliance with the License. # You may obtain","class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password =","import ServerFactory from twisted.cred.portal import Portal from twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport)","# Copyright 2014 <NAME> # # Licensed under the Apache License, Version 2.0","(0 elements) e : 0.0 \"\"\").strip()) def test_wrap_long_line(self): class Foobar(object): a = \"","self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There could be multiple password checkers, check for","No shebang line, this module is meant to be imported # # Copyright","password) def test_instance(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password = <PASSWORD>andom(32).encode(\"hex\")","test_request_avatar_error(self): realm = TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self): factory = TransportProtocolFactory(None)","a, b, c, d, e = True, 1, \"yes\", {}, 0.0 output =","# Licensed under the Apache License, Version 2.0 (the \"License\"); # you may","instance in manhole.protocol.portal.checkers.items(): found = False for user, passwd in instance.users.items(): if user","def setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase):","a : ' \"\"\" + \"\"\" '... \"\"\").strip()) class TestLoggingManhole(TestManholeBase): def test_line_received(self): f","from pprint import pprint from random import randint from StringIO import StringIO from","twisted.cred.portal import Portal from twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import","= True, 1, \"yes\", {}, 0.0 output = StringIO() with patch(\"sys.stdout\", output): show(Foobar)",": 1 c : yes d : {} (0 elements) e : 0.0","@classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\"hex\"), randint(1024, 65535)) def handle_QUIT(self): self.QUIT","2.0 (the \"License\"); # you may not use this file except in compliance","ImportError: # pragma: no cover from mock import patch from twisted.internet.protocol import ServerFactory","def test_protocol_factory(self): factory = TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def","show() output.seek(0) output = output.getvalue().strip() self.assertEqual(output, \"objects: ['bob', 'pp', 'show']\") def test_custom_object(self): class","output = StringIO() with patch(\"sys.stdout\", output): show() output.seek(0) output = output.getvalue().strip() self.assertEqual(output, \"objects:","TelnetRealm.NAMESPACE, {\"bob\": None, \"pp\": pprint, \"show\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal)","dedent(\"\"\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : ' \"\"\" + \"\"\" '...","\"\", \"\") with self.assertRaises(AssertionError): manhole_factory({}, None, \"\") with self.assertRaises(AssertionError): manhole_factory({}, \"\", None) def","dedent(\"\"\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : True b : 1 c","= True class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT","WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the","for the one # we know we should have added. for _, instance","patch except ImportError: # pragma: no cover from mock import patch from twisted.internet.protocol","import ( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer = namedtuple(\"Peer\", (\"host\", \"port\")) class","LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer = namedtuple(\"Peer\", (\"host\", \"port\")) class FakeLoggingManhole(LoggingManhole): QUIT","\"show\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There could be multiple","# # Unless required by applicable law or agreed to in writing, software","dedent try: from unittest.mock import patch except ImportError: # pragma: no cover from","express or implied. # See the License for the specific language governing permissions","import patch except ImportError: # pragma: no cover from mock import patch from","import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole import (","with patch(\"sys.stdout\", output): show() output.seek(0) output = output.getvalue().strip() self.assertEqual(output, \"objects: ['bob', 'pp', 'show']\")",": ' \"\"\" + \"\"\" '... \"\"\").strip()) class TestLoggingManhole(TestManholeBase): def test_line_received(self): f =","output.getvalue().strip() self.assertEqual( output, dedent(\"\"\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : ' \"\"\"","collections import namedtuple from pprint import pprint from random import randint from StringIO","either express or implied. # See the License for the specific language governing","try: from unittest.mock import patch except ImportError: # pragma: no cover from mock","TelnetRealm, manhole_factory, show) Peer = namedtuple(\"Peer\", (\"host\", \"port\")) class FakeLoggingManhole(LoggingManhole): QUIT = False","know we should have added. for _, instance in manhole.protocol.portal.checkers.items(): found = False","= \" \" * 90 output = StringIO() with patch(\"sys.stdout\", output): show(Foobar) output.seek(0)","( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer = namedtuple(\"Peer\", (\"host\", \"port\")) class FakeLoggingManhole(LoggingManhole):","password = <PASSWORD>andom(32).encode(\"hex\") manhole = manhole_factory(namespace, username, password) self.assertEqual(namespace, {\"bob\": None}) self.assertEqual( TelnetRealm.NAMESPACE,","+= 1 return Peer(os.urandom(12).encode(\"hex\"), randint(1024, 65535)) def handle_QUIT(self): self.QUIT = True class TestManholeBase(TestCase):","None} username = os.urandom(32).encode(\"hex\") password = <PASSWORD>andom(32).encode(\"hex\") manhole = manhole_factory(namespace, username, password) self.assertEqual(namespace,","Licensed under the Apache License, Version 2.0 (the \"License\"); # you may not","an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either","= StringIO() with patch(\"sys.stdout\", output): show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual( output, dedent(\"\"\"","test_uses_namespace(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username,","show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual( output, dedent(\"\"\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'>","instance.users.items(): if user == username and passwd == password: found = True if","QUIT = False GET_PEER_CALLS = 0 class terminal(object): RIGHT_ARROW, LEFT_ARROW = None, None","import pprint from random import randint from StringIO import StringIO from textwrap import","from twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole","username, password) with self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def test_instance(self): namespace = {\"bob\": None}","import Portal from twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import TestCase","the License. # You may obtain a copy of the License at #","twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole import","# distributed under the License is distributed on an \"AS IS\" BASIS, #","FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \"\", \"\") with","be multiple password checkers, check for the one # we know we should","= TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace =","is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF","{\"bob\": None} username = os.urandom(32).encode(\"hex\") password = <PASSWORD>andom(32).encode(\"hex\") manhole = manhole_factory(namespace, username, password)","self.QUIT = True class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS = 0","<class 'tests.test_agent.test_manhole.Foobar'> a : True b : 1 c : yes d :","os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) output = StringIO() with patch(\"sys.stdout\", output):","should have added. for _, instance in manhole.protocol.portal.checkers.items(): found = False for user,","attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : True b : 1 c : yes","with self.assertRaises(AssertionError): manhole_factory({}, \"\", None) def test_instance_one(self): namespace = {\"bob\": None} username =","meant to be imported # # Copyright 2014 <NAME> # # Licensed under","patch(\"sys.stdout\", output): show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual( output, dedent(\"\"\" data attributes of","from collections import namedtuple from pprint import pprint from random import randint from","checkers, check for the one # we know we should have added. for","user, passwd in instance.users.items(): if user == username and passwd == password: found","False GET_PEER_CALLS = 0 class terminal(object): RIGHT_ARROW, LEFT_ARROW = None, None class transport(object):","with the License. # You may obtain a copy of the License at","could be multiple password checkers, check for the one # we know we","1, \"yes\", {}, 0.0 output = StringIO() with patch(\"sys.stdout\", output): show(Foobar) output.seek(0) output","= None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase): def test_assertions(self): with","show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There could be multiple password","== username and passwd == password: found = True if found: break else:","# limitations under the License. import os from collections import namedtuple from pprint","to be imported # # Copyright 2014 <NAME> # # Licensed under the",": {} (0 elements) e : 0.0 \"\"\").strip()) def test_wrap_long_line(self): class Foobar(object): a","# # Licensed under the Apache License, Version 2.0 (the \"License\"); # you","90 output = StringIO() with patch(\"sys.stdout\", output): show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual(","b, c, d, e = True, 1, \"yes\", {}, 0.0 output = StringIO()","= os.urandom(32).encode(\"hex\") password = <PASSWORD>andom(32).encode(\"hex\") manhole = manhole_factory(namespace, username, password) self.assertEqual(namespace, {\"bob\": None})","{\"bob\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\"bob\": None, \"pp\": pprint, \"show\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol,","manhole_factory(namespace, username, password) output = StringIO() with patch(\"sys.stdout\", output): show() output.seek(0) output =","TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There could be multiple password checkers, check for the","b : 1 c : yes d : {} (0 elements) e :","with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self): factory = TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport,","License. import os from collections import namedtuple from pprint import pprint from random","TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase): def test_assertions(self):","manhole_factory(namespace, username, password) with self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def test_instance(self): namespace = {\"bob\":","law or agreed to in writing, software # distributed under the License is","TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password","the License for the specific language governing permissions and # limitations under the","None, \"pp\": pprint, \"show\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There","= False GET_PEER_CALLS = 0 class terminal(object): RIGHT_ARROW, LEFT_ARROW = None, None class","password: found = True if found: break else: self.fail(\"Failed to find correct username","False class TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \"\", \"\") with self.assertRaises(AssertionError): manhole_factory({},","data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : ' \"\"\" + \"\"\" '... \"\"\").strip())","import os from collections import namedtuple from pprint import pprint from random import","self.fail(\"Failed to find correct username and password.\") def test_request_avatar(self): realm = TelnetRealm() avatar","of <class 'tests.test_agent.test_manhole.Foobar'> a : ' \"\"\" + \"\"\" '... \"\"\").strip()) class TestLoggingManhole(TestManholeBase):","on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,","namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password = <PASSWORD>andom(32).encode(\"hex\") manhole = manhole_factory(namespace,","self.assertEqual(namespace, {\"bob\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\"bob\": None, \"pp\": pprint, \"show\": show}) self.assertIsInstance(manhole, ServerFactory)","Portal from twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import TestCase from","= output.getvalue().strip() self.assertEqual( output, dedent(\"\"\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : True","namedtuple(\"Peer\", (\"host\", \"port\")) class FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS = 0 class terminal(object):","\" * 90 output = StringIO() with patch(\"sys.stdout\", output): show(Foobar) output.seek(0) output =","import patch from twisted.internet.protocol import ServerFactory from twisted.cred.portal import Portal from twisted.conch.telnet import","password) output = StringIO() with patch(\"sys.stdout\", output): show() output.seek(0) output = output.getvalue().strip() self.assertEqual(output,","one # we know we should have added. for _, instance in manhole.protocol.portal.checkers.items():","in compliance with the License. # You may obtain a copy of the","password checkers, check for the one # we know we should have added.","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #","TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\")","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","no cover from mock import patch from twisted.internet.protocol import ServerFactory from twisted.cred.portal import","= {\"bob\": None} username = os.urandom(32).encode(\"hex\") password = <PASSWORD>andom(32).encode(\"hex\") manhole = manhole_factory(namespace, username,","See the License for the specific language governing permissions and # limitations under","ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There could be multiple password checkers, check","self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm = TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def","BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.","import dedent try: from unittest.mock import patch except ImportError: # pragma: no cover","= {\"bob\": None} username = os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) with","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","= TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self): factory = TransportProtocolFactory(None) transport =","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in","= 0 FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \"\",","True class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT =","os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) with self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def","TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer = namedtuple(\"Peer\", (\"host\", \"port\")) class FakeLoggingManhole(LoggingManhole): QUIT =","ServerFactory from twisted.cred.portal import Portal from twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from","with self.assertRaises(AssertionError): manhole_factory({}, None, \"\") with self.assertRaises(AssertionError): manhole_factory({}, \"\", None) def test_instance_one(self): namespace",": True b : 1 c : yes d : {} (0 elements)","pprint import pprint from random import randint from StringIO import StringIO from textwrap","0.0 output = StringIO() with patch(\"sys.stdout\", output): show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual(","from random import randint from StringIO import StringIO from textwrap import dedent try:","transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\"hex\"), randint(1024, 65535)) def handle_QUIT(self):","{\"bob\": None} username = os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) output =","' \"\"\" + \"\"\" '... \"\"\").strip()) class TestLoggingManhole(TestManholeBase): def test_line_received(self): f = FakeLoggingManhole()","= False for user, passwd in instance.users.items(): if user == username and passwd","Peer = namedtuple(\"Peer\", (\"host\", \"port\")) class FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS = 0","is meant to be imported # # Copyright 2014 <NAME> # # Licensed","self.assertEqual(output, \"objects: ['bob', 'pp', 'show']\") def test_custom_object(self): class Foobar(object): a, b, c, d,","Version 2.0 (the \"License\"); # you may not use this file except in","= False class TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \"\", \"\") with self.assertRaises(AssertionError):","except in compliance with the License. # You may obtain a copy of","factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace = {\"bob\": None} username =","output.getvalue().strip() self.assertEqual(output, \"objects: ['bob', 'pp', 'show']\") def test_custom_object(self): class Foobar(object): a, b, c,","self.assertIsInstance(manhole.protocol.portal, Portal) # There could be multiple password checkers, check for the one","Peer(os.urandom(12).encode(\"hex\"), randint(1024, 65535)) def handle_QUIT(self): self.QUIT = True class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE","output.seek(0) output = output.getvalue().strip() self.assertEqual( output, dedent(\"\"\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a","# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","may not use this file except in compliance with the License. # You","License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS","found = False for user, passwd in instance.users.items(): if user == username and","= output.getvalue().strip() self.assertEqual( output, dedent(\"\"\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : '","ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm = TelnetRealm()","from unittest.mock import patch except ImportError: # pragma: no cover from mock import","username, password) def test_instance(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password =","test_custom_object(self): class Foobar(object): a, b, c, d, e = True, 1, \"yes\", {},","if found: break else: self.fail(\"Failed to find correct username and password.\") def test_request_avatar(self):","ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm = TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None)","import namedtuple from pprint import pprint from random import randint from StringIO import","c, d, e = True, 1, \"yes\", {}, 0.0 output = StringIO() with","= StringIO() with patch(\"sys.stdout\", output): show() output.seek(0) output = output.getvalue().strip() self.assertEqual(output, \"objects: ['bob',","self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def test_instance(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\")","3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm = TelnetRealm() with self.assertRaises(NotImplementedError):","TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT = False class","factory = TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace","password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username, password) with self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def test_instance(self):","test_instance_one(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password = os.urandom(32).encode(\"hex\") manhole_factory(namespace, username,","= 0 class terminal(object): RIGHT_ARROW, LEFT_ARROW = None, None class transport(object): @classmethod def","realm = TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol)","permissions and # limitations under the License. import os from collections import namedtuple","ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory,","pprint from random import randint from StringIO import StringIO from textwrap import dedent","manhole = manhole_factory(namespace, username, password) self.assertEqual(namespace, {\"bob\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\"bob\": None, \"pp\":","manhole_factory({}, \"\", None) def test_instance_one(self): namespace = {\"bob\": None} username = os.urandom(32).encode(\"hex\") password","\"\") with self.assertRaises(AssertionError): manhole_factory({}, \"\", None) def test_instance_one(self): namespace = {\"bob\": None} username","multiple password checkers, check for the one # we know we should have","None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError):","StringIO from textwrap import dedent try: from unittest.mock import patch except ImportError: #","from twisted.cred.portal import Portal from twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil","manhole_factory({}, None, \"\") with self.assertRaises(AssertionError): manhole_factory({}, \"\", None) def test_instance_one(self): namespace = {\"bob\":","pprint, \"show\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There could be","distributed under the License is distributed on an \"AS IS\" BASIS, # WITHOUT","self.assertEqual( output, dedent(\"\"\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : True b :","c : yes d : {} (0 elements) e : 0.0 \"\"\").strip()) def","e = True, 1, \"yes\", {}, 0.0 output = StringIO() with patch(\"sys.stdout\", output):","added. for _, instance in manhole.protocol.portal.checkers.items(): found = False for user, passwd in","output): show() output.seek(0) output = output.getvalue().strip() self.assertEqual(output, \"objects: ['bob', 'pp', 'show']\") def test_custom_object(self):","setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase): def","= output.getvalue().strip() self.assertEqual(output, \"objects: ['bob', 'pp', 'show']\") def test_custom_object(self): class Foobar(object): a, b,"],"string":"[\n \"def test_wrap_long_line(self): class Foobar(object): a = \\\" \\\" * 90 output = StringIO()\",\n \"KIND, either express or implied. # See the License for the specific language\",\n \"Unless required by applicable law or agreed to in writing, software # distributed\",\n \"textwrap import dedent try: from unittest.mock import patch except ImportError: # pragma: no\",\n \"cover from mock import patch from twisted.internet.protocol import ServerFactory from twisted.cred.portal import Portal\",\n \"Portal) # There could be multiple password checkers, check for the one #\",\n \"\\\"yes\\\", {}, 0.0 output = StringIO() with patch(\\\"sys.stdout\\\", output): show(Foobar) output.seek(0) output =\",\n \"manhole_factory(namespace, username, password) self.assertEqual(namespace, {\\\"bob\\\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\\\"bob\\\": None, \\\"pp\\\": pprint, \\\"show\\\":\",\n \"this file except in compliance with the License. # You may obtain a\",\n \"from pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show)\",\n \"break else: self.fail(\\\"Failed to find correct username and password.\\\") def test_request_avatar(self): realm =\",\n \"'tests.test_agent.test_manhole.Foobar'> a : True b : 1 c : yes d : {}\",\n \"transport = factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace = {\\\"bob\\\": None}\",\n \"with patch(\\\"sys.stdout\\\", output): show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual( output, dedent(\\\"\\\"\\\" data attributes\",\n \"TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace = {\\\"bob\\\":\",\n \"= True if found: break else: self.fail(\\\"Failed to find correct username and password.\\\")\",\n \"import randint from StringIO import StringIO from textwrap import dedent try: from unittest.mock\",\n \"GET_PEER_CALLS = 0 class terminal(object): RIGHT_ARROW, LEFT_ARROW = None, None class transport(object): @classmethod\",\n \"avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self):\",\n \"<NAME> # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); #\",\n \"ANY KIND, either express or implied. # See the License for the specific\",\n \"output, dedent(\\\"\\\"\\\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : True b : 1\",\n \"username, password) output = StringIO() with patch(\\\"sys.stdout\\\", output): show() output.seek(0) output = output.getvalue().strip()\",\n \"governing permissions and # limitations under the License. import os from collections import\",\n \"namedtuple from pprint import pprint from random import randint from StringIO import StringIO\",\n \"to find correct username and password.\\\") def test_request_avatar(self): realm = TelnetRealm() avatar =\",\n \"Foobar(object): a = \\\" \\\" * 90 output = StringIO() with patch(\\\"sys.stdout\\\", output):\",\n \"FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None,\",\n \"username and password.\\\") def test_request_avatar(self): realm = TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar),\",\n \"LEFT_ARROW = None, None class transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return\",\n \"username, password) self.assertEqual(namespace, {\\\"bob\\\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\\\"bob\\\": None, \\\"pp\\\": pprint, \\\"show\\\": show})\",\n \"= manhole_factory(namespace, username, password) self.assertEqual(namespace, {\\\"bob\\\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\\\"bob\\\": None, \\\"pp\\\": pprint,\",\n \"def test_uses_namespace(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace,\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See\",\n \"self.assertRaises(AssertionError): manhole_factory({}, \\\"\\\", None) def test_instance_one(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\")\",\n \"None, None class transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\\\"hex\\\"), randint(1024,\",\n \"{\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) with self.assertRaises(AssertionError):\",\n \"IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or\",\n \"self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self): factory = TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport, TelnetTransport)\",\n \"RIGHT_ARROW, LEFT_ARROW = None, None class transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1\",\n \"test_instance(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = <PASSWORD>andom(32).encode(\\\"hex\\\") manhole =\",\n \"self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There could be multiple password checkers,\",\n \"Foobar(object): a, b, c, d, e = True, 1, \\\"yes\\\", {}, 0.0 output\",\n \"from textwrap import dedent try: from unittest.mock import patch except ImportError: # pragma:\",\n \"OF ANY KIND, either express or implied. # See the License for the\",\n \"output.seek(0) output = output.getvalue().strip() self.assertEqual(output, \\\"objects: ['bob', 'pp', 'show']\\\") def test_custom_object(self): class Foobar(object):\",\n \"imported # # Copyright 2014 <NAME> # # Licensed under the Apache License,\",\n \"(\\\"host\\\", \\\"port\\\")) class FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS = 0 class terminal(object): RIGHT_ARROW,\",\n \"== password: found = True if found: break else: self.fail(\\\"Failed to find correct\",\n \"self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm = TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None,\",\n \"in instance.users.items(): if user == username and passwd == password: found = True\",\n \"= realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm\",\n \"def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\\\"hex\\\"), randint(1024, 65535)) def handle_QUIT(self): self.QUIT =\",\n \"terminal(object): RIGHT_ARROW, LEFT_ARROW = None, None class transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS +=\",\n \"under the License. import os from collections import namedtuple from pprint import pprint\",\n \"os from collections import namedtuple from pprint import pprint from random import randint\",\n \"TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self): factory = TransportProtocolFactory(None) transport = factory()\",\n \"{} (0 elements) e : 0.0 \\\"\\\"\\\").strip()) def test_wrap_long_line(self): class Foobar(object): a =\",\n \"shebang line, this module is meant to be imported # # Copyright 2014\",\n \"def test_instance(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = <PASSWORD>andom(32).encode(\\\"hex\\\") manhole\",\n \"class Foobar(object): a = \\\" \\\" * 90 output = StringIO() with patch(\\\"sys.stdout\\\",\",\n \"self.assertRaises(AssertionError): manhole_factory(None, \\\"\\\", \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, None, \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, \\\"\\\",\",\n \"import StringIO from textwrap import dedent try: from unittest.mock import patch except ImportError:\",\n \"1 c : yes d : {} (0 elements) e : 0.0 \\\"\\\"\\\").strip())\",\n \"user == username and passwd == password: found = True if found: break\",\n \"output = StringIO() with patch(\\\"sys.stdout\\\", output): show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual( output,\",\n \"self.assertEqual( TelnetRealm.NAMESPACE, {\\\"bob\\\": None, \\\"pp\\\": pprint, \\\"show\\\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal,\",\n \"True b : 1 c : yes d : {} (0 elements) e\",\n \"from twisted.internet.protocol import ServerFactory from twisted.cred.portal import Portal from twisted.conch.telnet import ( ITelnetProtocol,\",\n \"output, dedent(\\\"\\\"\\\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : ' \\\"\\\"\\\" + \\\"\\\"\\\"\",\n \"of <class 'tests.test_agent.test_manhole.Foobar'> a : True b : 1 c : yes d\",\n \"software # distributed under the License is distributed on an \\\"AS IS\\\" BASIS,\",\n \"os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) with self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def test_instance(self): namespace =\",\n \"# There could be multiple password checkers, check for the one # we\",\n \"for user, passwd in instance.users.items(): if user == username and passwd == password:\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to\",\n \"self.assertRaises(AssertionError): manhole_factory({}, None, \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, \\\"\\\", None) def test_instance_one(self): namespace =\",\n \"def test_request_avatar_error(self): realm = TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self): factory =\",\n \"class Foobar(object): a, b, c, d, e = True, 1, \\\"yes\\\", {}, 0.0\",\n \"\\\"objects: ['bob', 'pp', 'show']\\\") def test_custom_object(self): class Foobar(object): a, b, c, d, e\",\n \"<class 'tests.test_agent.test_manhole.Foobar'> a : ' \\\"\\\"\\\" + \\\"\\\"\\\" '... \\\"\\\"\\\").strip()) class TestLoggingManhole(TestManholeBase): def\",\n \"with self.assertRaises(AssertionError): manhole_factory(None, \\\"\\\", \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, None, \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({},\",\n \"under the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"output = output.getvalue().strip() self.assertEqual( output, dedent(\\\"\\\"\\\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a :\",\n \"d, e = True, 1, \\\"yes\\\", {}, 0.0 output = StringIO() with patch(\\\"sys.stdout\\\",\",\n \"correct username and password.\\\") def test_request_avatar(self): realm = TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol)\",\n \"test_protocol_factory(self): factory = TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self):\",\n \"passwd in instance.users.items(): if user == username and passwd == password: found =\",\n \"\\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express\",\n \"0 FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \\\"\\\", \\\"\\\")\",\n \"passwd == password: found = True if found: break else: self.fail(\\\"Failed to find\",\n \"pragma: no cover from mock import patch from twisted.internet.protocol import ServerFactory from twisted.cred.portal\",\n \"if user == username and passwd == password: found = True if found:\",\n \"realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm =\",\n \"required by applicable law or agreed to in writing, software # distributed under\",\n \"# pragma: no cover from mock import patch from twisted.internet.protocol import ServerFactory from\",\n \"username = os.urandom(32).encode(\\\"hex\\\") password = <PASSWORD>andom(32).encode(\\\"hex\\\") manhole = manhole_factory(namespace, username, password) self.assertEqual(namespace, {\\\"bob\\\":\",\n \"return Peer(os.urandom(12).encode(\\\"hex\\\"), randint(1024, 65535)) def handle_QUIT(self): self.QUIT = True class TestManholeBase(TestCase): def setUp(self):\",\n \"'tests.test_agent.test_manhole.Foobar'> a : ' \\\"\\\"\\\" + \\\"\\\"\\\" '... \\\"\\\"\\\").strip()) class TestLoggingManhole(TestManholeBase): def test_line_received(self):\",\n \"applicable law or agreed to in writing, software # distributed under the License\",\n \"manhole.protocol.portal.checkers.items(): found = False for user, passwd in instance.users.items(): if user == username\",\n \"# # Copyright 2014 <NAME> # # Licensed under the Apache License, Version\",\n \"output): show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual( output, dedent(\\\"\\\"\\\" data attributes of <class\",\n \"found: break else: self.fail(\\\"Failed to find correct username and password.\\\") def test_request_avatar(self): realm\",\n \"None, \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, \\\"\\\", None) def test_instance_one(self): namespace = {\\\"bob\\\": None}\",\n \"def handle_QUIT(self): self.QUIT = True class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS\",\n \"import TestCase from pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer =\",\n \"or agreed to in writing, software # distributed under the License is distributed\",\n \"realm = TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self): factory = TransportProtocolFactory(None) transport\",\n \"password) self.assertEqual(namespace, {\\\"bob\\\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\\\"bob\\\": None, \\\"pp\\\": pprint, \\\"show\\\": show}) self.assertIsInstance(manhole,\",\n \"patch from twisted.internet.protocol import ServerFactory from twisted.cred.portal import Portal from twisted.conch.telnet import (\",\n \"show) Peer = namedtuple(\\\"Peer\\\", (\\\"host\\\", \\\"port\\\")) class FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS =\",\n \"CONDITIONS OF ANY KIND, either express or implied. # See the License for\",\n \"else: self.fail(\\\"Failed to find correct username and password.\\\") def test_request_avatar(self): realm = TelnetRealm()\",\n \"d : {} (0 elements) e : 0.0 \\\"\\\"\\\").strip()) def test_wrap_long_line(self): class Foobar(object):\",\n \"self.assertEqual( output, dedent(\\\"\\\"\\\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : ' \\\"\\\"\\\" +\",\n \"= namedtuple(\\\"Peer\\\", (\\\"host\\\", \\\"port\\\")) class FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS = 0 class\",\n \"test_request_avatar(self): realm = TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1],\",\n \"{\\\"bob\\\": None, \\\"pp\\\": pprint, \\\"show\\\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) #\",\n \"'pp', 'show']\\\") def test_custom_object(self): class Foobar(object): a, b, c, d, e = True,\",\n \"None) def test_instance_one(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\")\",\n \"from mock import patch from twisted.internet.protocol import ServerFactory from twisted.cred.portal import Portal from\",\n \"module is meant to be imported # # Copyright 2014 <NAME> # #\",\n \"under the Apache License, Version 2.0 (the \\\"License\\\"); # you may not use\",\n \"writing, software # distributed under the License is distributed on an \\\"AS IS\\\"\",\n \": 0.0 \\\"\\\"\\\").strip()) def test_wrap_long_line(self): class Foobar(object): a = \\\" \\\" * 90\",\n \"from pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer = namedtuple(\\\"Peer\\\", (\\\"host\\\",\",\n \"You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"= os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) with self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def test_instance(self): namespace\",\n \"StringIO() with patch(\\\"sys.stdout\\\", output): show() output.seek(0) output = output.getvalue().strip() self.assertEqual(output, \\\"objects: ['bob', 'pp',\",\n \"handle_QUIT(self): self.QUIT = True class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS =\",\n \"unittest.mock import patch except ImportError: # pragma: no cover from mock import patch\",\n \"License. # You may obtain a copy of the License at # #\",\n \"= os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) with self.assertRaises(AssertionError): manhole_factory(namespace, username, password)\",\n \"\\\"port\\\")) class FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS = 0 class terminal(object): RIGHT_ARROW, LEFT_ARROW\",\n \"\\\"\\\", None) def test_instance_one(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password =\",\n \"compliance with the License. # You may obtain a copy of the License\",\n \"( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole import ( LoggingManhole,\",\n \"password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) output = StringIO() with patch(\\\"sys.stdout\\\", output): show()\",\n \": yes d : {} (0 elements) e : 0.0 \\\"\\\"\\\").strip()) def test_wrap_long_line(self):\",\n \"except ImportError: # pragma: no cover from mock import patch from twisted.internet.protocol import\",\n \"getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\\\"hex\\\"), randint(1024, 65535)) def handle_QUIT(self): self.QUIT = True\",\n \"os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) output = StringIO() with patch(\\\"sys.stdout\\\", output): show() output.seek(0) output\",\n \"have added. for _, instance in manhole.protocol.portal.checkers.items(): found = False for user, passwd\",\n \"for the specific language governing permissions and # limitations under the License. import\",\n \"class terminal(object): RIGHT_ARROW, LEFT_ARROW = None, None class transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS\",\n \"output = output.getvalue().strip() self.assertEqual(output, \\\"objects: ['bob', 'pp', 'show']\\\") def test_custom_object(self): class Foobar(object): a,\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"we should have added. for _, instance in manhole.protocol.portal.checkers.items(): found = False for\",\n \"specific language governing permissions and # limitations under the License. import os from\",\n \"namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password)\",\n \"= TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2]))\",\n \"True, 1, \\\"yes\\\", {}, 0.0 output = StringIO() with patch(\\\"sys.stdout\\\", output): show(Foobar) output.seek(0)\",\n \"and passwd == password: found = True if found: break else: self.fail(\\\"Failed to\",\n \"<PASSWORD>andom(32).encode(\\\"hex\\\") manhole = manhole_factory(namespace, username, password) self.assertEqual(namespace, {\\\"bob\\\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\\\"bob\\\": None,\",\n \"attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : ' \\\"\\\"\\\" + \\\"\\\"\\\" '... \\\"\\\"\\\").strip()) class\",\n \"= None, None class transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\\\"hex\\\"),\",\n \"username and passwd == password: found = True if found: break else: self.fail(\\\"Failed\",\n \"username = os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) with self.assertRaises(AssertionError): manhole_factory(namespace, username,\",\n \"= factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace = {\\\"bob\\\": None} username\",\n \"# No shebang line, this module is meant to be imported # #\",\n \"not use this file except in compliance with the License. # You may\",\n \"\\\"pp\\\": pprint, \\\"show\\\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There could\",\n \"pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer = namedtuple(\\\"Peer\\\", (\\\"host\\\", \\\"port\\\"))\",\n \"pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer\",\n \"License, Version 2.0 (the \\\"License\\\"); # you may not use this file except\",\n \"_, instance in manhole.protocol.portal.checkers.items(): found = False for user, passwd in instance.users.items(): if\",\n \"distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm = TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self):\",\n \"mock import patch from twisted.internet.protocol import ServerFactory from twisted.cred.portal import Portal from twisted.conch.telnet\",\n \"# you may not use this file except in compliance with the License.\",\n \"a : True b : 1 c : yes d : {} (0\",\n \"randint from StringIO import StringIO from textwrap import dedent try: from unittest.mock import\",\n \"'show']\\\") def test_custom_object(self): class Foobar(object): a, b, c, d, e = True, 1,\",\n \"manhole_factory(namespace, username, password) def test_instance(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password\",\n \"agreed to in writing, software # distributed under the License is distributed on\",\n \"(the \\\"License\\\"); # you may not use this file except in compliance with\",\n \"class FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS = 0 class terminal(object): RIGHT_ARROW, LEFT_ARROW =\",\n \"elements) e : 0.0 \\\"\\\"\\\").strip()) def test_wrap_long_line(self): class Foobar(object): a = \\\" \\\"\",\n \"TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory, TelnetRealm,\",\n \"class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT = False\",\n \"def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \\\"\\\", \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, None, \\\"\\\") with\",\n \"0 class terminal(object): RIGHT_ARROW, LEFT_ARROW = None, None class transport(object): @classmethod def getPeer(cls):\",\n \"['bob', 'pp', 'show']\\\") def test_custom_object(self): class Foobar(object): a, b, c, d, e =\",\n \"Copyright 2014 <NAME> # # Licensed under the Apache License, Version 2.0 (the\",\n \"# Unless required by applicable law or agreed to in writing, software #\",\n \"by applicable law or agreed to in writing, software # distributed under the\",\n \"\\\"\\\"\\\").strip()) def test_wrap_long_line(self): class Foobar(object): a = \\\" \\\" * 90 output =\",\n \"the one # we know we should have added. for _, instance in\",\n \"and password.\\\") def test_request_avatar(self): realm = TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3)\",\n \"65535)) def handle_QUIT(self): self.QUIT = True class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE = None\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"1 return Peer(os.urandom(12).encode(\\\"hex\\\"), randint(1024, 65535)) def handle_QUIT(self): self.QUIT = True class TestManholeBase(TestCase): def\",\n \"{}, 0.0 output = StringIO() with patch(\\\"sys.stdout\\\", output): show(Foobar) output.seek(0) output = output.getvalue().strip()\",\n \"self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\")\",\n \"limitations under the License. import os from collections import namedtuple from pprint import\",\n \"the License. import os from collections import namedtuple from pprint import pprint from\",\n \"TelnetTransport) from pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory,\",\n \"file except in compliance with the License. # You may obtain a copy\",\n \"FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS = 0 class terminal(object): RIGHT_ARROW, LEFT_ARROW = None,\",\n \"TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def\",\n \"None}) self.assertEqual( TelnetRealm.NAMESPACE, {\\\"bob\\\": None, \\\"pp\\\": pprint, \\\"show\\\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory)\",\n \"data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : True b : 1 c :\",\n \"twisted.internet.protocol import ServerFactory from twisted.cred.portal import Portal from twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol,\",\n \"TestCase from pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer = namedtuple(\\\"Peer\\\",\",\n \"0.0 \\\"\\\"\\\").strip()) def test_wrap_long_line(self): class Foobar(object): a = \\\" \\\" * 90 output\",\n \"test_wrap_long_line(self): class Foobar(object): a = \\\" \\\" * 90 output = StringIO() with\",\n \"License for the specific language governing permissions and # limitations under the License.\",\n \"patch(\\\"sys.stdout\\\", output): show() output.seek(0) output = output.getvalue().strip() self.assertEqual(output, \\\"objects: ['bob', 'pp', 'show']\\\") def\",\n \"yes d : {} (0 elements) e : 0.0 \\\"\\\"\\\").strip()) def test_wrap_long_line(self): class\",\n \"to in writing, software # distributed under the License is distributed on an\",\n \"None} username = os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) with self.assertRaises(AssertionError): manhole_factory(namespace,\",\n \"test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \\\"\\\", \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, None, \\\"\\\") with self.assertRaises(AssertionError):\",\n \"this module is meant to be imported # # Copyright 2014 <NAME> #\",\n \"from StringIO import StringIO from textwrap import dedent try: from unittest.mock import patch\",\n \"implied. # See the License for the specific language governing permissions and #\",\n \"password.\\\") def test_request_avatar(self): realm = TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0],\",\n \"\\\"License\\\"); # you may not use this file except in compliance with the\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"= {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) output\",\n \"* 90 output = StringIO() with patch(\\\"sys.stdout\\\", output): show(Foobar) output.seek(0) output = output.getvalue().strip()\",\n \"a = \\\" \\\" * 90 output = StringIO() with patch(\\\"sys.stdout\\\", output): show(Foobar)\",\n \"check for the one # we know we should have added. for _,\",\n \"\\\"\\\"\\\" + \\\"\\\"\\\" '... \\\"\\\"\\\").strip()) class TestLoggingManhole(TestManholeBase): def test_line_received(self): f = FakeLoggingManhole() f.lineReceived(\\\"exit\\\")\",\n \"we know we should have added. for _, instance in manhole.protocol.portal.checkers.items(): found =\",\n \"self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm = TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self): factory\",\n \"= <PASSWORD>andom(32).encode(\\\"hex\\\") manhole = manhole_factory(namespace, username, password) self.assertEqual(namespace, {\\\"bob\\\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\\\"bob\\\":\",\n \"manhole_factory, show) Peer = namedtuple(\\\"Peer\\\", (\\\"host\\\", \\\"port\\\")) class FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS\",\n \"TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \\\"\\\", \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, None, \\\"\\\")\",\n \"the specific language governing permissions and # limitations under the License. import os\",\n \"or implied. # See the License for the specific language governing permissions and\",\n \"output.getvalue().strip() self.assertEqual( output, dedent(\\\"\\\"\\\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : True b\",\n \"line, this module is meant to be imported # # Copyright 2014 <NAME>\",\n \"StringIO import StringIO from textwrap import dedent try: from unittest.mock import patch except\",\n \"Apache License, Version 2.0 (the \\\"License\\\"); # you may not use this file\",\n \"OR CONDITIONS OF ANY KIND, either express or implied. # See the License\",\n \"may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"+ \\\"\\\"\\\" '... \\\"\\\"\\\").strip()) class TestLoggingManhole(TestManholeBase): def test_line_received(self): f = FakeLoggingManhole() f.lineReceived(\\\"exit\\\") self.assertTrue(f.QUIT)\",\n \"username = os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) output = StringIO() with\",\n \"False for user, passwd in instance.users.items(): if user == username and passwd ==\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,\",\n \"in writing, software # distributed under the License is distributed on an \\\"AS\",\n \"self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm = TelnetRealm() with\",\n \"def test_request_avatar(self): realm = TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol)\",\n \"class transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\\\"hex\\\"), randint(1024, 65535)) def\",\n \"randint(1024, 65535)) def handle_QUIT(self): self.QUIT = True class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE =\",\n \"True if found: break else: self.fail(\\\"Failed to find correct username and password.\\\") def\",\n \"with self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def test_instance(self): namespace = {\\\"bob\\\": None} username =\",\n \"manhole_factory(None, \\\"\\\", \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, None, \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, \\\"\\\", None)\",\n \"# See the License for the specific language governing permissions and # limitations\",\n \"the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR\",\n \"e : 0.0 \\\"\\\"\\\").strip()) def test_wrap_long_line(self): class Foobar(object): a = \\\" \\\" *\",\n \"FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\\\"hex\\\"), randint(1024, 65535)) def handle_QUIT(self): self.QUIT = True class\",\n \"def test_instance_one(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace,\",\n \"None) def test_protocol_factory(self): factory = TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase):\",\n \"= os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) output = StringIO() with patch(\\\"sys.stdout\\\", output): show() output.seek(0)\",\n \"be imported # # Copyright 2014 <NAME> # # Licensed under the Apache\",\n \"class TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \\\"\\\", \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, None,\",\n \"\\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, None, \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, \\\"\\\", None) def test_instance_one(self):\",\n \"in manhole.protocol.portal.checkers.items(): found = False for user, passwd in instance.users.items(): if user ==\",\n \"\\\" \\\" * 90 output = StringIO() with patch(\\\"sys.stdout\\\", output): show(Foobar) output.seek(0) output\",\n \"random import randint from StringIO import StringIO from textwrap import dedent try: from\",\n \"realm.requestAvatar(None, None) def test_protocol_factory(self): factory = TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport, TelnetTransport) class\",\n \"StringIO() with patch(\\\"sys.stdout\\\", output): show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual( output, dedent(\\\"\\\"\\\" data\",\n \"the Apache License, Version 2.0 (the \\\"License\\\"); # you may not use this\",\n \"password) with self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def test_instance(self): namespace = {\\\"bob\\\": None} username\",\n \"you may not use this file except in compliance with the License. #\",\n \"# we know we should have added. for _, instance in manhole.protocol.portal.checkers.items(): found\",\n \"There could be multiple password checkers, check for the one # we know\",\n \"and # limitations under the License. import os from collections import namedtuple from\",\n \"os.urandom(32).encode(\\\"hex\\\") password = <PASSWORD>andom(32).encode(\\\"hex\\\") manhole = manhole_factory(namespace, username, password) self.assertEqual(namespace, {\\\"bob\\\": None}) self.assertEqual(\",\n \"def test_custom_object(self): class Foobar(object): a, b, c, d, e = True, 1, \\\"yes\\\",\",\n \"2014 <NAME> # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\");\",\n \"None class transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\\\"hex\\\"), randint(1024, 65535))\",\n \"language governing permissions and # limitations under the License. import os from collections\",\n \"None} username = os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) output = StringIO()\",\n \"find correct username and password.\\\") def test_request_avatar(self): realm = TelnetRealm() avatar = realm.requestAvatar(None,\",\n \"= os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) output = StringIO() with patch(\\\"sys.stdout\\\",\",\n \"found = True if found: break else: self.fail(\\\"Failed to find correct username and\",\n \"for _, instance in manhole.protocol.portal.checkers.items(): found = False for user, passwd in instance.users.items():\",\n \"use this file except in compliance with the License. # You may obtain\",\n \"class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password =\",\n \"import ServerFactory from twisted.cred.portal import Portal from twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport)\",\n \"# Copyright 2014 <NAME> # # Licensed under the Apache License, Version 2.0\",\n \"(0 elements) e : 0.0 \\\"\\\"\\\").strip()) def test_wrap_long_line(self): class Foobar(object): a = \\\"\",\n \"self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There could be multiple password checkers, check for\",\n \"No shebang line, this module is meant to be imported # # Copyright\",\n \"password) def test_instance(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = <PASSWORD>andom(32).encode(\\\"hex\\\")\",\n \"test_request_avatar_error(self): realm = TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self): factory = TransportProtocolFactory(None)\",\n \"a, b, c, d, e = True, 1, \\\"yes\\\", {}, 0.0 output =\",\n \"# Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you may\",\n \"instance in manhole.protocol.portal.checkers.items(): found = False for user, passwd in instance.users.items(): if user\",\n \"def setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase):\",\n \"a : ' \\\"\\\"\\\" + \\\"\\\"\\\" '... \\\"\\\"\\\").strip()) class TestLoggingManhole(TestManholeBase): def test_line_received(self): f\",\n \"from pprint import pprint from random import randint from StringIO import StringIO from\",\n \"twisted.cred.portal import Portal from twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import\",\n \"= True, 1, \\\"yes\\\", {}, 0.0 output = StringIO() with patch(\\\"sys.stdout\\\", output): show(Foobar)\",\n \": 1 c : yes d : {} (0 elements) e : 0.0\",\n \"@classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\\\"hex\\\"), randint(1024, 65535)) def handle_QUIT(self): self.QUIT\",\n \"2.0 (the \\\"License\\\"); # you may not use this file except in compliance\",\n \"ImportError: # pragma: no cover from mock import patch from twisted.internet.protocol import ServerFactory\",\n \"def test_protocol_factory(self): factory = TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def\",\n \"show() output.seek(0) output = output.getvalue().strip() self.assertEqual(output, \\\"objects: ['bob', 'pp', 'show']\\\") def test_custom_object(self): class\",\n \"output = StringIO() with patch(\\\"sys.stdout\\\", output): show() output.seek(0) output = output.getvalue().strip() self.assertEqual(output, \\\"objects:\",\n \"TelnetRealm.NAMESPACE, {\\\"bob\\\": None, \\\"pp\\\": pprint, \\\"show\\\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal)\",\n \"dedent(\\\"\\\"\\\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : ' \\\"\\\"\\\" + \\\"\\\"\\\" '...\",\n \"\\\"\\\", \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, None, \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, \\\"\\\", None) def\",\n \"dedent(\\\"\\\"\\\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : True b : 1 c\",\n \"= True class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT\",\n \"WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the\",\n \"for the one # we know we should have added. for _, instance\",\n \"patch except ImportError: # pragma: no cover from mock import patch from twisted.internet.protocol\",\n \"import ( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer = namedtuple(\\\"Peer\\\", (\\\"host\\\", \\\"port\\\")) class\",\n \"LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer = namedtuple(\\\"Peer\\\", (\\\"host\\\", \\\"port\\\")) class FakeLoggingManhole(LoggingManhole): QUIT\",\n \"\\\"show\\\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There could be multiple\",\n \"# # Unless required by applicable law or agreed to in writing, software\",\n \"dedent try: from unittest.mock import patch except ImportError: # pragma: no cover from\",\n \"express or implied. # See the License for the specific language governing permissions\",\n \"import patch except ImportError: # pragma: no cover from mock import patch from\",\n \"import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole import (\",\n \"with patch(\\\"sys.stdout\\\", output): show() output.seek(0) output = output.getvalue().strip() self.assertEqual(output, \\\"objects: ['bob', 'pp', 'show']\\\")\",\n \": ' \\\"\\\"\\\" + \\\"\\\"\\\" '... \\\"\\\"\\\").strip()) class TestLoggingManhole(TestManholeBase): def test_line_received(self): f =\",\n \"output.getvalue().strip() self.assertEqual( output, dedent(\\\"\\\"\\\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : ' \\\"\\\"\\\"\",\n \"collections import namedtuple from pprint import pprint from random import randint from StringIO\",\n \"either express or implied. # See the License for the specific language governing\",\n \"try: from unittest.mock import patch except ImportError: # pragma: no cover from mock\",\n \"TelnetRealm, manhole_factory, show) Peer = namedtuple(\\\"Peer\\\", (\\\"host\\\", \\\"port\\\")) class FakeLoggingManhole(LoggingManhole): QUIT = False\",\n \"know we should have added. for _, instance in manhole.protocol.portal.checkers.items(): found = False\",\n \"= \\\" \\\" * 90 output = StringIO() with patch(\\\"sys.stdout\\\", output): show(Foobar) output.seek(0)\",\n \"( LoggingManhole, TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer = namedtuple(\\\"Peer\\\", (\\\"host\\\", \\\"port\\\")) class FakeLoggingManhole(LoggingManhole):\",\n \"password = <PASSWORD>andom(32).encode(\\\"hex\\\") manhole = manhole_factory(namespace, username, password) self.assertEqual(namespace, {\\\"bob\\\": None}) self.assertEqual( TelnetRealm.NAMESPACE,\",\n \"+= 1 return Peer(os.urandom(12).encode(\\\"hex\\\"), randint(1024, 65535)) def handle_QUIT(self): self.QUIT = True class TestManholeBase(TestCase):\",\n \"None} username = os.urandom(32).encode(\\\"hex\\\") password = <PASSWORD>andom(32).encode(\\\"hex\\\") manhole = manhole_factory(namespace, username, password) self.assertEqual(namespace,\",\n \"Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you may not\",\n \"an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either\",\n \"= StringIO() with patch(\\\"sys.stdout\\\", output): show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual( output, dedent(\\\"\\\"\\\"\",\n \"test_uses_namespace(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username,\",\n \"show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual( output, dedent(\\\"\\\"\\\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'>\",\n \"instance.users.items(): if user == username and passwd == password: found = True if\",\n \"QUIT = False GET_PEER_CALLS = 0 class terminal(object): RIGHT_ARROW, LEFT_ARROW = None, None\",\n \"import pprint from random import randint from StringIO import StringIO from textwrap import\",\n \"from twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole\",\n \"username, password) with self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def test_instance(self): namespace = {\\\"bob\\\": None}\",\n \"import Portal from twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import TestCase\",\n \"the License. # You may obtain a copy of the License at #\",\n \"twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole import\",\n \"# distributed under the License is distributed on an \\\"AS IS\\\" BASIS, #\",\n \"FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \\\"\\\", \\\"\\\") with\",\n \"be multiple password checkers, check for the one # we know we should\",\n \"= TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace =\",\n \"is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"{\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = <PASSWORD>andom(32).encode(\\\"hex\\\") manhole = manhole_factory(namespace, username, password)\",\n \"self.QUIT = True class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS = 0\",\n \"<class 'tests.test_agent.test_manhole.Foobar'> a : True b : 1 c : yes d :\",\n \"os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) output = StringIO() with patch(\\\"sys.stdout\\\", output):\",\n \"should have added. for _, instance in manhole.protocol.portal.checkers.items(): found = False for user,\",\n \"attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : True b : 1 c : yes\",\n \"with self.assertRaises(AssertionError): manhole_factory({}, \\\"\\\", None) def test_instance_one(self): namespace = {\\\"bob\\\": None} username =\",\n \"meant to be imported # # Copyright 2014 <NAME> # # Licensed under\",\n \"patch(\\\"sys.stdout\\\", output): show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual( output, dedent(\\\"\\\"\\\" data attributes of\",\n \"from collections import namedtuple from pprint import pprint from random import randint from\",\n \"checkers, check for the one # we know we should have added. for\",\n \"user, passwd in instance.users.items(): if user == username and passwd == password: found\",\n \"False GET_PEER_CALLS = 0 class terminal(object): RIGHT_ARROW, LEFT_ARROW = None, None class transport(object):\",\n \"with the License. # You may obtain a copy of the License at\",\n \"could be multiple password checkers, check for the one # we know we\",\n \"1, \\\"yes\\\", {}, 0.0 output = StringIO() with patch(\\\"sys.stdout\\\", output): show(Foobar) output.seek(0) output\",\n \"= None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase): def test_assertions(self): with\",\n \"show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There could be multiple password\",\n \"== username and passwd == password: found = True if found: break else:\",\n \"# limitations under the License. import os from collections import namedtuple from pprint\",\n \"to be imported # # Copyright 2014 <NAME> # # Licensed under the\",\n \": {} (0 elements) e : 0.0 \\\"\\\"\\\").strip()) def test_wrap_long_line(self): class Foobar(object): a\",\n \"# # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you\",\n \"90 output = StringIO() with patch(\\\"sys.stdout\\\", output): show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual(\",\n \"b, c, d, e = True, 1, \\\"yes\\\", {}, 0.0 output = StringIO()\",\n \"= os.urandom(32).encode(\\\"hex\\\") password = <PASSWORD>andom(32).encode(\\\"hex\\\") manhole = manhole_factory(namespace, username, password) self.assertEqual(namespace, {\\\"bob\\\": None})\",\n \"{\\\"bob\\\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\\\"bob\\\": None, \\\"pp\\\": pprint, \\\"show\\\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol,\",\n \"manhole_factory(namespace, username, password) output = StringIO() with patch(\\\"sys.stdout\\\", output): show() output.seek(0) output =\",\n \"TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There could be multiple password checkers, check for the\",\n \"b : 1 c : yes d : {} (0 elements) e :\",\n \"with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self): factory = TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport,\",\n \"License. import os from collections import namedtuple from pprint import pprint from random\",\n \"TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase): def test_assertions(self):\",\n \"manhole_factory(namespace, username, password) with self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def test_instance(self): namespace = {\\\"bob\\\":\",\n \"law or agreed to in writing, software # distributed under the License is\",\n \"TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password\",\n \"the License for the specific language governing permissions and # limitations under the\",\n \"None, \\\"pp\\\": pprint, \\\"show\\\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There\",\n \"= False GET_PEER_CALLS = 0 class terminal(object): RIGHT_ARROW, LEFT_ARROW = None, None class\",\n \"password: found = True if found: break else: self.fail(\\\"Failed to find correct username\",\n \"False class TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \\\"\\\", \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({},\",\n \"data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : ' \\\"\\\"\\\" + \\\"\\\"\\\" '... \\\"\\\"\\\").strip())\",\n \"import os from collections import namedtuple from pprint import pprint from random import\",\n \"self.fail(\\\"Failed to find correct username and password.\\\") def test_request_avatar(self): realm = TelnetRealm() avatar\",\n \"of <class 'tests.test_agent.test_manhole.Foobar'> a : ' \\\"\\\"\\\" + \\\"\\\"\\\" '... \\\"\\\"\\\").strip()) class TestLoggingManhole(TestManholeBase):\",\n \"on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,\",\n \"namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = <PASSWORD>andom(32).encode(\\\"hex\\\") manhole = manhole_factory(namespace,\",\n \"self.assertEqual(namespace, {\\\"bob\\\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\\\"bob\\\": None, \\\"pp\\\": pprint, \\\"show\\\": show}) self.assertIsInstance(manhole, ServerFactory)\",\n \"Portal from twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import TestCase from\",\n \"= output.getvalue().strip() self.assertEqual( output, dedent(\\\"\\\"\\\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : True\",\n \"namedtuple(\\\"Peer\\\", (\\\"host\\\", \\\"port\\\")) class FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS = 0 class terminal(object):\",\n \"\\\" * 90 output = StringIO() with patch(\\\"sys.stdout\\\", output): show(Foobar) output.seek(0) output =\",\n \"import patch from twisted.internet.protocol import ServerFactory from twisted.cred.portal import Portal from twisted.conch.telnet import\",\n \"password) output = StringIO() with patch(\\\"sys.stdout\\\", output): show() output.seek(0) output = output.getvalue().strip() self.assertEqual(output,\",\n \"one # we know we should have added. for _, instance in manhole.protocol.portal.checkers.items():\",\n \"in compliance with the License. # You may obtain a copy of the\",\n \"password checkers, check for the one # we know we should have added.\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #\",\n \"TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\")\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"no cover from mock import patch from twisted.internet.protocol import ServerFactory from twisted.cred.portal import\",\n \"= {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = <PASSWORD>andom(32).encode(\\\"hex\\\") manhole = manhole_factory(namespace, username,\",\n \"See the License for the specific language governing permissions and # limitations under\",\n \"ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There could be multiple password checkers, check\",\n \"self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm = TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def\",\n \"BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\",\n \"import dedent try: from unittest.mock import patch except ImportError: # pragma: no cover\",\n \"= {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) with\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"= TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None) def test_protocol_factory(self): factory = TransportProtocolFactory(None) transport =\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in\",\n \"= 0 FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \\\"\\\",\",\n \"True class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT =\",\n \"os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) with self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def\",\n \"TransportProtocolFactory, TelnetRealm, manhole_factory, show) Peer = namedtuple(\\\"Peer\\\", (\\\"host\\\", \\\"port\\\")) class FakeLoggingManhole(LoggingManhole): QUIT =\",\n \"ServerFactory from twisted.cred.portal import Portal from twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from\",\n \"with self.assertRaises(AssertionError): manhole_factory({}, None, \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, \\\"\\\", None) def test_instance_one(self): namespace\",\n \": True b : 1 c : yes d : {} (0 elements)\",\n \"pprint import pprint from random import randint from StringIO import StringIO from textwrap\",\n \"0.0 output = StringIO() with patch(\\\"sys.stdout\\\", output): show(Foobar) output.seek(0) output = output.getvalue().strip() self.assertEqual(\",\n \"from random import randint from StringIO import StringIO from textwrap import dedent try:\",\n \"transport(object): @classmethod def getPeer(cls): FakeLoggingManhole.GET_PEER_CALLS += 1 return Peer(os.urandom(12).encode(\\\"hex\\\"), randint(1024, 65535)) def handle_QUIT(self):\",\n \"{\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) output =\",\n \"' \\\"\\\"\\\" + \\\"\\\"\\\" '... \\\"\\\"\\\").strip()) class TestLoggingManhole(TestManholeBase): def test_line_received(self): f = FakeLoggingManhole()\",\n \"= False for user, passwd in instance.users.items(): if user == username and passwd\",\n \"Peer = namedtuple(\\\"Peer\\\", (\\\"host\\\", \\\"port\\\")) class FakeLoggingManhole(LoggingManhole): QUIT = False GET_PEER_CALLS = 0\",\n \"is meant to be imported # # Copyright 2014 <NAME> # # Licensed\",\n \"self.assertEqual(output, \\\"objects: ['bob', 'pp', 'show']\\\") def test_custom_object(self): class Foobar(object): a, b, c, d,\",\n \"Version 2.0 (the \\\"License\\\"); # you may not use this file except in\",\n \"= False class TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError): manhole_factory(None, \\\"\\\", \\\"\\\") with self.assertRaises(AssertionError):\",\n \"except in compliance with the License. # You may obtain a copy of\",\n \"factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace = {\\\"bob\\\": None} username =\",\n \"output.getvalue().strip() self.assertEqual(output, \\\"objects: ['bob', 'pp', 'show']\\\") def test_custom_object(self): class Foobar(object): a, b, c,\",\n \"self.assertIsInstance(manhole.protocol.portal, Portal) # There could be multiple password checkers, check for the one\",\n \"Peer(os.urandom(12).encode(\\\"hex\\\"), randint(1024, 65535)) def handle_QUIT(self): self.QUIT = True class TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE\",\n \"output.seek(0) output = output.getvalue().strip() self.assertEqual( output, dedent(\\\"\\\"\\\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a\",\n \"# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"may not use this file except in compliance with the License. # You\",\n \"License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS\",\n \"found = False for user, passwd in instance.users.items(): if user == username and\",\n \"= output.getvalue().strip() self.assertEqual( output, dedent(\\\"\\\"\\\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : '\",\n \"ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm = TelnetRealm()\",\n \"from unittest.mock import patch except ImportError: # pragma: no cover from mock import\",\n \"username, password) def test_instance(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password =\",\n \"test_custom_object(self): class Foobar(object): a, b, c, d, e = True, 1, \\\"yes\\\", {},\",\n \"if found: break else: self.fail(\\\"Failed to find correct username and password.\\\") def test_request_avatar(self):\",\n \"ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm = TelnetRealm() with self.assertRaises(NotImplementedError): realm.requestAvatar(None, None)\",\n \"import namedtuple from pprint import pprint from random import randint from StringIO import\",\n \"c, d, e = True, 1, \\\"yes\\\", {}, 0.0 output = StringIO() with\",\n \"= StringIO() with patch(\\\"sys.stdout\\\", output): show() output.seek(0) output = output.getvalue().strip() self.assertEqual(output, \\\"objects: ['bob',\",\n \"self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def test_instance(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\")\",\n \"3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol) self.assertTrue(callable(avatar[2])) def test_request_avatar_error(self): realm = TelnetRealm() with self.assertRaises(NotImplementedError):\",\n \"TestManholeBase(TestCase): def setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT = False class\",\n \"factory = TransportProtocolFactory(None) transport = factory() self.assertIsInstance(transport, TelnetTransport) class TestManholeShow(TestManholeBase): def test_uses_namespace(self): namespace\",\n \"password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username, password) with self.assertRaises(AssertionError): manhole_factory(namespace, username, password) def test_instance(self):\",\n \"test_instance_one(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password = os.urandom(32).encode(\\\"hex\\\") manhole_factory(namespace, username,\",\n \"= 0 class terminal(object): RIGHT_ARROW, LEFT_ARROW = None, None class transport(object): @classmethod def\",\n \"realm = TelnetRealm() avatar = realm.requestAvatar(None, ITelnetProtocol) self.assertEqual(len(avatar), 3) self.assertIs(avatar[0], ITelnetProtocol) self.assertIsInstance(avatar[1], TelnetBootstrapProtocol)\",\n \"permissions and # limitations under the License. import os from collections import namedtuple\",\n \"ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil import TestCase from pyfarm.agent.manhole import ( LoggingManhole, TransportProtocolFactory,\",\n \"pprint from random import randint from StringIO import StringIO from textwrap import dedent\",\n \"manhole = manhole_factory(namespace, username, password) self.assertEqual(namespace, {\\\"bob\\\": None}) self.assertEqual( TelnetRealm.NAMESPACE, {\\\"bob\\\": None, \\\"pp\\\":\",\n \"manhole_factory({}, \\\"\\\", None) def test_instance_one(self): namespace = {\\\"bob\\\": None} username = os.urandom(32).encode(\\\"hex\\\") password\",\n \"\\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, \\\"\\\", None) def test_instance_one(self): namespace = {\\\"bob\\\": None} username\",\n \"multiple password checkers, check for the one # we know we should have\",\n \"None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase): def test_assertions(self): with self.assertRaises(AssertionError):\",\n \"StringIO from textwrap import dedent try: from unittest.mock import patch except ImportError: #\",\n \"from twisted.cred.portal import Portal from twisted.conch.telnet import ( ITelnetProtocol, TelnetBootstrapProtocol, TelnetTransport) from pyfarm.agent.testutil\",\n \"manhole_factory({}, None, \\\"\\\") with self.assertRaises(AssertionError): manhole_factory({}, \\\"\\\", None) def test_instance_one(self): namespace = {\\\"bob\\\":\",\n \"pprint, \\\"show\\\": show}) self.assertIsInstance(manhole, ServerFactory) self.assertIsInstance(manhole.protocol, TransportProtocolFactory) self.assertIsInstance(manhole.protocol.portal, Portal) # There could be\",\n \"distributed under the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT\",\n \"self.assertEqual( output, dedent(\\\"\\\"\\\" data attributes of <class 'tests.test_agent.test_manhole.Foobar'> a : True b :\",\n \"c : yes d : {} (0 elements) e : 0.0 \\\"\\\"\\\").strip()) def\",\n \"e = True, 1, \\\"yes\\\", {}, 0.0 output = StringIO() with patch(\\\"sys.stdout\\\", output):\",\n \"added. for _, instance in manhole.protocol.portal.checkers.items(): found = False for user, passwd in\",\n \"output): show() output.seek(0) output = output.getvalue().strip() self.assertEqual(output, \\\"objects: ['bob', 'pp', 'show']\\\") def test_custom_object(self):\",\n \"setUp(self): TelnetRealm.NAMESPACE = None FakeLoggingManhole.GET_PEER_CALLS = 0 FakeLoggingManhole.QUIT = False class TestManholeFactory(TestManholeBase): def\",\n \"= output.getvalue().strip() self.assertEqual(output, \\\"objects: ['bob', 'pp', 'show']\\\") def test_custom_object(self): class Foobar(object): a, b,\"\n]","isConversational":false}}},{"rowIdx":1983,"cells":{"ngram":{"kind":"list like","value":["def klSigmode(self): \"\"\"查找模式\"\"\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode = 'dealOpen' else: self.canvas.updateSig(self.signals)","klSigmode(self): \"\"\"查找模式\"\"\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode = 'dealOpen' else: self.canvas.updateSig(self.signals) self.mode","\"\"\"查找模式\"\"\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode = 'dealOpen' else: self.canvas.updateSig(self.signals) self.mode =","#---------------------------------------------------------------------- def klSigmode(self): \"\"\"查找模式\"\"\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode = 'dealOpen' else:","插入所有需要的库，和函数 \"\"\" #---------------------------------------------------------------------- def klSigmode(self): \"\"\"查找模式\"\"\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode =","<gh_stars>100-1000 # coding: utf-8 \"\"\" 插入所有需要的库，和函数 \"\"\" #---------------------------------------------------------------------- def klSigmode(self): \"\"\"查找模式\"\"\" if self.mode","\"\"\" #---------------------------------------------------------------------- def klSigmode(self): \"\"\"查找模式\"\"\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode = 'dealOpen'","coding: utf-8 \"\"\" 插入所有需要的库，和函数 \"\"\" #---------------------------------------------------------------------- def klSigmode(self): \"\"\"查找模式\"\"\" if self.mode == 'deal':","if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode = 'dealOpen' else: self.canvas.updateSig(self.signals) self.mode = 'deal'","utf-8 \"\"\" 插入所有需要的库，和函数 \"\"\" #---------------------------------------------------------------------- def klSigmode(self): \"\"\"查找模式\"\"\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen)","# coding: utf-8 \"\"\" 插入所有需要的库，和函数 \"\"\" #---------------------------------------------------------------------- def klSigmode(self): \"\"\"查找模式\"\"\" if self.mode ==","\"\"\" 插入所有需要的库，和函数 \"\"\" #---------------------------------------------------------------------- def klSigmode(self): \"\"\"查找模式\"\"\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode"],"string":"[\n \"def klSigmode(self): \\\"\\\"\\\"查找模式\\\"\\\"\\\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode = 'dealOpen' else: self.canvas.updateSig(self.signals)\",\n \"klSigmode(self): \\\"\\\"\\\"查找模式\\\"\\\"\\\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode = 'dealOpen' else: self.canvas.updateSig(self.signals) self.mode\",\n \"\\\"\\\"\\\"查找模式\\\"\\\"\\\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode = 'dealOpen' else: self.canvas.updateSig(self.signals) self.mode =\",\n \"#---------------------------------------------------------------------- def klSigmode(self): \\\"\\\"\\\"查找模式\\\"\\\"\\\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode = 'dealOpen' else:\",\n \"插入所有需要的库，和函数 \\\"\\\"\\\" #---------------------------------------------------------------------- def klSigmode(self): \\\"\\\"\\\"查找模式\\\"\\\"\\\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode =\",\n \"<gh_stars>100-1000 # coding: utf-8 \\\"\\\"\\\" 插入所有需要的库，和函数 \\\"\\\"\\\" #---------------------------------------------------------------------- def klSigmode(self): \\\"\\\"\\\"查找模式\\\"\\\"\\\" if self.mode\",\n \"\\\"\\\"\\\" #---------------------------------------------------------------------- def klSigmode(self): \\\"\\\"\\\"查找模式\\\"\\\"\\\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode = 'dealOpen'\",\n \"coding: utf-8 \\\"\\\"\\\" 插入所有需要的库，和函数 \\\"\\\"\\\" #---------------------------------------------------------------------- def klSigmode(self): \\\"\\\"\\\"查找模式\\\"\\\"\\\" if self.mode == 'deal':\",\n \"if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode = 'dealOpen' else: self.canvas.updateSig(self.signals) self.mode = 'deal'\",\n \"utf-8 \\\"\\\"\\\" 插入所有需要的库，和函数 \\\"\\\"\\\" #---------------------------------------------------------------------- def klSigmode(self): \\\"\\\"\\\"查找模式\\\"\\\"\\\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen)\",\n \"# coding: utf-8 \\\"\\\"\\\" 插入所有需要的库，和函数 \\\"\\\"\\\" #---------------------------------------------------------------------- def klSigmode(self): \\\"\\\"\\\"查找模式\\\"\\\"\\\" if self.mode ==\",\n \"\\\"\\\"\\\" 插入所有需要的库，和函数 \\\"\\\"\\\" #---------------------------------------------------------------------- def klSigmode(self): \\\"\\\"\\\"查找模式\\\"\\\"\\\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode\"\n]","isConversational":false}}},{"rowIdx":1984,"cells":{"ngram":{"kind":"list like","value":["exportSHP) # Convert to B&W road_network = image.copy() road_network[road_network < 254] = 0","'C', 41, 0) w.field('note', 'C', 32, 0) for i in range(len(simple_ways)): w.line([simple_ways[i]]) w.record('01',","= [3, 7] elif direction == 3: wrong_paths = [2, 8] elif direction","= 15, return_simple_ways = True) else: full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length =","y: int, way: int): if way == 0: x_, y_ = x-1, y-1","cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] != 3] if (exportJSON or exportSHP): simple_segments, full_segments, nodes_grid","the nodes of the skeletonized image Output(s): way: list of pixel coordinates on","[] for ind, address in df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1)","30, return_simple_ways: bool = True): ''' Find all the road segments in the","cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels ==","np.nonzero(img) nodes, degree, addresses = [], [], [] for (r,c) in zip(rows, cols):","nodes, degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy() new_addresses, new_degree = [],","False way = [(x, y)] # First iteration new_x, new_y = absoluteWay(x, y,","of pixel coordinates on the way direction: last direction to reach the 2nd","of the road network min_length: min segment length if the segment is terminal","in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist()) except: print(\"La","= df_nodes[df_nodes['degree'] != 3] if (exportJSON or exportSHP): simple_segments, full_segments, nodes_grid = findSegments(df_nodes,","failed to apply largest_component = True param. Skipping.' cv2.imwrite(path, vectorized) return vectorized def","way, last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way) <= min_length)","in zip(rows, cols): if r > 0 and c > 0 and r","length or non-terminal. Optionally, compute the Douglas-Peucker simple itinerary of each segment and","son réseau filaire\".format(image_name)) simple_segments_JSON = simple_segments else: print('La géolocalisation du réseau filaire ne","black and white image of the road network (streets in white) path: path","a single 1D array and check for non-zero locations try: pix_neighbourhood = image[row_neigh,","not((len(way) <= min_length) and ((node['degree'] == 2) or (degree == 2))): done.append(str(way[-1][0]) +","c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood == True)[0] direction_set = direction_set[direction_set != 4] addresses.append(direction_set)","= df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for ind, row in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'],","from utils.match import toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network: np.ndarray, path: str =","y = new_x, new_y wrong_paths = noTurnBack(direction) wrong_paths_active = True if nodes_grid[x, y]:","simple_segments if exportJSON: with open(export_file_path.replace('png', 'json'), 'w') as outfile: json.dump(simple_segments_JSON, outfile) if exportSHP:","= cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] != 3] if (exportJSON or exportSHP): simple_segments, full_segments,","os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG: print(\"\\nAvertissement: Si vous n'avez","\\ installez d'abord Homebrew, ImageMagick et Potrace via le terminal.\\n\") print('Pour installer Homebrew:\\n',","str): ''' Save a given set of segments as a bitmap image from","image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree': degree, 'address': addresses }) df_nodes","coordinates n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours == 2) or (n_neighbours >= 4): nodes.append((r,","the arrival node ''' def absoluteWay(x: int, y: int, way: int): if way","diagonal = [1, 3, 5, 7], {0: [1, 3], 2: [1, 5], 6:","c, c+1]), np.array([r-1, r, r+1])) # Cast to int to index into image","# Extract an 8-connected neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y,","= [2, 8] elif direction == 5: wrong_paths = [0, 6] elif direction","shp from skimage.measure import approximate_polygon from PIL import Image, ImageDraw from utils.utils import","the road segments in the network. Keep the ones that are longer than","= ImageDraw.Draw(bitmap) for segment in segments: coords = [] for point in segment:","stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels == main_component).astype('uint8')*255 except:","5: wrong_paths = [0, 6] elif direction == 6: wrong_paths = [1, 5]","= absoluteWay(x, y, direction) way.append((new_x, new_y)) x, y = new_x, new_y if nodes_grid[x,","= x-1, y-1 elif way == 1: x_, y_ = x-1, y elif","''' assert len(road_network.shape) == 2, 'ERROR: road_network must be grayscale image' img =","15, return_simple_ways = True) else: full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15,","'primary', image_name + '.json')) as data: data = json.load(data) M = np.asarray(data['M']) simple_segments_JSON","via le terminal.\\n\") print('Pour installer Homebrew:\\n', ' /usr/bin/ruby -e \"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\"') print('Pour","to int to index into image col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int') # Convert","for wrong_path in wrong_paths: direction_set = direction_set[direction_set != wrong_path] wrong_paths_active = False if","= [], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for ind, row in","Extract an 8-connected neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y, y+1]))","network image to a wired model. Input(s): road_network: black and white image of","nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = True) else: full_segments, nodes_grid","5] elif direction == 7: wrong_paths = [0, 2] elif direction == 8:","image. Input(s): image: skeletonized image Output(s): nodes: array of nodes coordinates (x, y)","degree, addresses = findNodes(vectorized) if len(degree) < 0: return [], [], np.zeros((image.shape[1], image.shape[0]))","# First iteration new_x, new_y = absoluteWay(x, y, direction) assert image[new_x, new_y] !=","y_ = x-1, y elif way == 2: x_, y_ = x-1, y+1","= (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for segment in","wrong_path in wrong_paths: direction_set = direction_set[direction_set != wrong_path] wrong_paths_active = False if len(direction_set)","255/2] = 255 vectorized = skeletonize(road_network, largest_component = True) nodes, degree, addresses =","Input(s): image: skeletonized image Output(s): nodes: array of nodes coordinates (x, y) degree:","be save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png') draw =","return vectorized def findNodes(image: np.ndarray): ''' Find the nodes in the road network","neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r, r+1])) # Cast to","brew install imagemagick') print('Pour installer Potrace: \\n', ' brew install potrace\\n') if exportPNG:","= np.asarray(data['M']) simple_segments_JSON = [] for segment in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T","if r in address: new_address.append(r) for d in diagonal.keys(): if d in address:","break direction = direction_set[0] new_x, new_y = absoluteWay(x, y, direction) way.append((new_x, new_y)) x,","1) df['address'] = new_addresses df['degree'] = new_degree return df def avoidDiagonalEdges(address: list, direction:","wrong_paths = noTurnBack(direction) wrong_paths_active = True if nodes_grid[x, y]: end = True direction","!= wrong_path] wrong_paths_active = False if len(direction_set) != 1: end = True break","into image col_neigh = col_neigh.astype('int') row_neigh = row_neigh.astype('int') # Convert into a single","def skeletonize(road_network: np.ndarray, path: str = \"workshop/vectorized.png\", largest_component: bool = False): ''' Thinning/skeletonization","toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if geoloc: if exportJSON: project_name = getProjectName() try: with","= [6, 8] elif direction == 2: wrong_paths = [3, 7] elif direction","8: [5, 7]} new_address = [] for r in right: if r in","15, return_simple_ways = False) simple_segments = [] if exportPNG: toPNG(full_segments, vectorized, export_file_path) elif","longer than a given length or non-terminal. Optionally, compute the Douglas-Peucker simple itinerary","exportPNG: bool = False, exportJSON: bool = False, exportSVG: bool = False, exportSHP:","to the node ''' img = image.copy() # Find row and column locations","[1, 3, 5, 7], {0: [1, 3], 2: [1, 5], 6: [3, 7],","fill = 'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path): w = shp.Writer(out_path) w.field('DeletionFlag', 'C',","print(\"\\nAvertissement: Si vous n'avez jamais utilisé cette commande, \\ installez d'abord Homebrew, ImageMagick","# Convert to B&W road_network = image.copy() road_network[road_network < 254] = 0 road_network[road_network","wrong_paths = [3, 7] elif direction == 3: wrong_paths = [2, 8] elif","int to index into image col_neigh = col_neigh.astype('int') row_neigh = row_neigh.astype('int') # Convert","imagemagick') print('Pour installer Potrace: \\n', ' brew install potrace\\n') if exportPNG: png_path =","+ '_' + str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways = [] for way in","image col_neigh = col_neigh.astype('int') row_neigh = row_neigh.astype('int') # Convert into a single 1D","it. Input(s): df_nodes: list of nodes image: skeletonized image of the road network","import * from utils.match import toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network: np.ndarray, path:","-fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\"') print('Pour installer ImageMagick:\\n', ' brew install imagemagick') print('Pour installer Potrace: \\n',","ImageDraw from utils.utils import * from utils.match import toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def","direction_set = direction_set[direction_set != 4] addresses.append(direction_set) nodes = np.asarray(nodes) return nodes, degree, addresses","''' Save a given set of segments as a bitmap image from the","bool = False, exportJSON: bool = False, exportSVG: bool = False, exportSHP: bool","draw = ImageDraw.Draw(bitmap) for segment in segments: coords = [] for point in","exportSVG or exportSHP) # Convert to B&W road_network = image.copy() road_network[road_network < 254]","Output(s): way: list of pixel coordinates on the way direction: last direction to","exportPNG: png_path = export_file_path else: png_path = os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm')","Homebrew:\\n', ' /usr/bin/ruby -e \"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\"') print('Pour installer ImageMagick:\\n', ' brew install","= x+1, y elif way == 8: x_, y_ = x+1, y+1 else:","= 0 road_network[road_network < 255/2] = 0 road_network[road_network >= 255/2] = 255 vectorized","apply largest_component = True param. Skipping.' cv2.imwrite(path, vectorized) return vectorized def findNodes(image: np.ndarray):","direction == 2: wrong_paths = [3, 7] elif direction == 3: wrong_paths =","installer ImageMagick:\\n', ' brew install imagemagick') print('Pour installer Potrace: \\n', ' brew install","(exportJSON or exportSHP): simple_segments, full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways","x_, y_ = x+1, y+1 else: raise AttributeError('Parameters invalid: (' + str(x) +","if nodes_grid[x, y]: end = True direction = 8-start_dir while not(end): if x","= export_file_path else: png_path = os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm') svg_path =","array and check for non-zero locations try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() != 0","end = True else: end = True return way, direction, nodes_grid[x, y] def","direction, nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length: int = 30, return_simple_ways:","network (streets in white) path: path where the skeletonized image should be saved","7], 8: [5, 7]} new_address = [] for r in right: if r","= col_neigh.astype('int') row_neigh = row_neigh.astype('int') # Convert into a single 1D array and","export_file_path.replace('png', 'svg') os.system('convert ' + png_path + pnm_path) os.system('potrace ' + pnm_path +","nodes_grid[x, y]: degree of the arrival node ''' def absoluteWay(x: int, y: int,","start node x-coordinate start_y: start node y-coordinate start_dir: starting direction ({0, 1, 2,","df_nodes.iterrows(): for direct in node['address']: code = str(node['x']) + '_' + str(node['y']) +","= x+1, y+1 else: raise AttributeError('Parameters invalid: (' + str(x) + ',' +","< 0: return [], [], np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1],","image=img, nodes_grid=nodes_grid) if not((len(way) <= min_length) and ((node['degree'] == 2) or (degree ==","True break direction = direction_set[0] new_x, new_y = absoluteWay(x, y, direction) way.append((new_x, new_y))","Extract an 8-connected neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r, r+1]))","project_name = getProjectName() try: with open(os.path.join('save', project_name, 'match' , 'primary', image_name + '.json'))","# Extract an 8-connected neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r,","'_' + str(node['y']) + '_' + str(direct) if not(code in done): way, last_direct,","terminal return_simple_ways: if True, compute the Douglas-Peucker simple itinerary of each segment and","output bitmap image should be save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap","8] elif direction == 5: wrong_paths = [0, 6] elif direction == 6:","# 2020, BackThen Maps # Coded by <NAME> https://github.com/RPetitpierre # For Bibliothèque nationale","cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy() new_addresses, new_degree = [], [] for ind, address","the pixels on the way between each couple of nodes nodes_grid: image containing","y-1 elif way == 1: x_, y_ = x-1, y elif way ==","= 255 vectorized = skeletonize(road_network, largest_component = True) nodes, degree, addresses = findNodes(vectorized)","if return_simple_ways: simple_ways = [] for way in ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose()","segments, containing all the pixels on the way between each couple of nodes","locations that are non-zero (rows, cols) = np.nonzero(img) nodes, degree, addresses = [],","cv2.imwrite(path, vectorized) return vectorized def findNodes(image: np.ndarray): ''' Find the nodes in the","vectorized: skeletonized image of the road network out_path: the path, where the output","and white image of the road network (streets in white) path: path where","else: full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = False) simple_segments","y+1])) # Cast to int to index into image col_neigh, row_neigh = col_neigh.astype('int'),","n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours == 2) or (n_neighbours >= 4): nodes.append((r, c))","0: return [], [], np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree':","8}) image: skeletonized image of the road network nodes_grid: grid of the nodes","'_' + str(way[-1][1]) + '_' + str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways = []","vectorized, os.path.join('workshop', 'thin.png')) if geoloc: if exportJSON: project_name = getProjectName() try: with open(os.path.join('save',","= (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels == main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed to apply","while not(end): if x > 0 and y > 0 and x <","== 2) or (degree == 2))): done.append(str(way[-1][0]) + '_' + str(way[-1][1]) + '_'","wrong_paths = [2, 8] elif direction == 5: wrong_paths = [0, 6] elif","= True break direction = direction_set[0] new_x, new_y = absoluteWay(x, y, direction) way.append((new_x,","as a bitmap image from the road network. Input(s): segments: list of segments,","containing all the pixels on the way between each couple of nodes vectorized:","y_ = x+1, y+1 else: raise AttributeError('Parameters invalid: (' + str(x) + ','","list of nodes image: skeletonized image of the road network min_length: min segment","str = \"workshop/vectorized.png\", largest_component: bool = False): ''' Thinning/skeletonization of the road network",") raise AssertionError() # If the number of non-zero locations equals 2, add","for segment in segments: coords = [] for point in segment: coords.append((point[1], point[0]))","a single 1D array and check for non-zero locations pix_neighbourhood = img[row_neigh, col_neigh].ravel()","elif way == 7: x_, y_ = x+1, y elif way == 8:","8: x_, y_ = x+1, y+1 else: raise AttributeError('Parameters invalid: (' + str(x)","cols): if r > 0 and c > 0 and r < image.shape[0]-1","pour le format JSON actuellement.') else: simple_segments_JSON = simple_segments if exportJSON: with open(export_file_path.replace('png',","wrong_paths direction = start_dir x, y = start_x, start_y assert image[x, y] !=","and return it Output(s): (Optional)(simple_ways: the Douglas-Peucker simple itinerary of each segmenty) ways:","''' img = image.copy() # Find row and column locations that are non-zero","+ M[:, 2:3].transpose()).tolist()) except: print(\"La géolocalisation de l'image {} n'a pas encore été","saved largest_component: if True, only the largest road network component will be kept","https://github.com/RPetitpierre # For Bibliothèque nationale de France (BnF) import cv2, thinning, os import","y-1 elif way == 5: x_, y_ = x, y+1 elif way ==","1, 2, 3, -, 5, 6, 7, 8}) image: skeletonized image of the","in right: if r in address: new_address.append(r) for d in diagonal.keys(): if d","to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood == True)[0]","np.ndarray, nodes_grid: np.ndarray): ''' Follow the path from one given start node and","in wrong_paths: direction_set = direction_set[direction_set != wrong_path] wrong_paths_active = False if len(direction_set) !=","path: str = \"workshop/vectorized.png\", largest_component: bool = False): ''' Thinning/skeletonization of the road","= [] for way in ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return","row['degree'] nodes_grid = nodes_grid.astype('int') for ind, node in df_nodes.iterrows(): for direct in node['address']:","4): nodes.append((r, c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood == True)[0] direction_set = direction_set[direction_set !=","findNodes(vectorized) if len(degree) < 0: return [], [], np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x':","= np.zeros(image.shape) for ind, row in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree']","Input(s): segments: list of segments, containing all the pixels on the way between","d'abord Homebrew, ImageMagick et Potrace via le terminal.\\n\") print('Pour installer Homebrew:\\n', ' /usr/bin/ruby","potrace\\n') if exportPNG: png_path = export_file_path else: png_path = os.path.join('workshop', 'thin.png') pnm_path =","image[new_x, new_y] != 0, 'ERROR: 2nd point is not white' way.append((new_x, new_y)) x,","simple_segments_JSON = simple_segments if exportJSON: with open(export_file_path.replace('png', 'json'), 'w') as outfile: json.dump(simple_segments_JSON, outfile)","str(direct) if not(code in done): way, last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img,","network skeleton image. Input(s): image: skeletonized image Output(s): nodes: array of nodes coordinates","svg_path) return simple_segments, full_segments, nodes_grid def toPNG(segments: list, vectorized: np.ndarray, out_path: str): '''","the output bitmap image should be save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas);","if (n_neighbours == 2) or (n_neighbours >= 4): nodes.append((r, c)) degree.append(n_neighbours) direction_set =","ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid else: return","= np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood == True)[0] last_ds = [wrong_paths] last_ds.append(direction_set) direction_set =","data = json.load(data) M = np.asarray(data['M']) simple_segments_JSON = [] for segment in simple_segments:","False if len(direction_set) != 1: end = True break direction = direction_set[0] new_x,","# If the number of non-zero locations equals 2, add this to our","2: [1, 5], 6: [3, 7], 8: [5, 7]} new_address = [] for","d in diagonal.keys(): if d in address: if not(diagonal[d][0] in address) and not(diagonal[d][1]","nodes_grid=nodes_grid) if not((len(way) <= min_length) and ((node['degree'] == 2) or (degree == 2))):","y = start_x, start_y assert image[x, y] != 0, 'ERROR: start point is","degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy() new_addresses, new_degree = [], []","bool = False): assert (exportPNG or exportJSON or exportSVG or exportSHP) # Convert","= image[row_neigh, col_neigh].transpose().ravel() != 0 except: print(x, y, image.shape, ) raise AssertionError() #","y_ = x, y-1 elif way == 5: x_, y_ = x, y+1","and not(diagonal[d][1] in address): if direction != None: if not((8-direction) in diagonal[d]): new_address.append(d)","all the pixels on the way between each couple of nodes vectorized: skeletonized","int, start_dir: int, image: np.ndarray, nodes_grid: np.ndarray): ''' Follow the path from one","df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] != 3] if (exportJSON","100] = 0 if largest_component: try: _, labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8,","should be of type int.') return x_, y_ def noTurnBack(direction: int): wrong_paths =","= [1, 3] return wrong_paths direction = start_dir x, y = start_x, start_y","y)] # First iteration new_x, new_y = absoluteWay(x, y, direction) assert image[new_x, new_y]","on the way between each couple of nodes vectorized: skeletonized image of the","in done): way, last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way)","y = new_x, new_y if nodes_grid[x, y]: end = True else: end =","the road network (streets in white) path: path where the skeletonized image should","out_path: str): ''' Save a given set of segments as a bitmap image","with open(os.path.join('save', project_name, 'match' , 'primary', image_name + '.json')) as data: data =","arrival node ''' def absoluteWay(x: int, y: int, way: int): if way ==","way == 6: x_, y_ = x+1, y-1 elif way == 7: x_,","= [], [], [] for (r,c) in zip(rows, cols): if r > 0","11, 0) w.field('streetname', 'C', 41, 0) w.field('note', 'C', 32, 0) for i in","each couple of nodes nodes_grid: image containing all the nodes found in the","= start_x, start_y assert image[x, y] != 0, 'ERROR: start point is not","inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid else: return ways,","start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way) <= min_length) and ((node['degree'] == 2) or (degree","x, x+1]), np.array([y-1, y, y+1])) # Cast to int to index into image","roads, with regard to the node ''' img = image.copy() # Find row","nodes[:,0], 'y': nodes[:,1], 'degree': degree, 'address': addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes =","ImageDraw.Draw(bitmap) for segment in segments: coords = [] for point in segment: coords.append((point[1],","list, vectorized: np.ndarray, out_path: str): ''' Save a given set of segments as","def cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy() new_addresses, new_degree = [], [] for ind,","direction)) last_ds.append(direction_set) if wrong_paths_active: for wrong_path in wrong_paths: direction_set = direction_set[direction_set != wrong_path]","export_file_path) elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if geoloc: if exportJSON: project_name =","skeletonized image ''' assert len(road_network.shape) == 2, 'ERROR: road_network must be grayscale image'","True, compute the Douglas-Peucker simple itinerary of each segment and return it Output(s):","(streets in white) path: path where the skeletonized image should be saved largest_component:","+ svg_path) return simple_segments, full_segments, nodes_grid def toPNG(segments: list, vectorized: np.ndarray, out_path: str):","r < image.shape[0]-1 and c < image.shape[1]-1: # Extract an 8-connected neighbourhood (col_neigh,","'.json')) as data: data = json.load(data) M = np.asarray(data['M']) simple_segments_JSON = [] for","= direction_set[direction_set != 4] addresses.append(direction_set) nodes = np.asarray(nodes) return nodes, degree, addresses def","'N', 11, 0) w.field('streetname', 'C', 41, 0) w.field('note', 'C', 32, 0) for i","col_neigh.astype('int') row_neigh = row_neigh.astype('int') # Convert into a single 1D array and check","the Douglas-Peucker simple itinerary of each segment and return it Output(s): (Optional)(simple_ways: the","== 2))): done.append(str(way[-1][0]) + '_' + str(way[-1][1]) + '_' + str(8-last_direct)) ways.append(way) if","np.where(pix_neighbourhood == True)[0] last_ds = [wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set != 4] last_ds.append(direction_set)","image: np.ndarray, min_length: int = 30, return_simple_ways: bool = True): ''' Find all","direction_set[direction_set != wrong_path] wrong_paths_active = False if len(direction_set) != 1: end = True","to int to index into image col_neigh = col_neigh.astype('int') row_neigh = row_neigh.astype('int') #","must be grayscale image' img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized","Cast to int to index into image col_neigh = col_neigh.astype('int') row_neigh = row_neigh.astype('int')","vous n'avez jamais utilisé cette commande, \\ installez d'abord Homebrew, ImageMagick et Potrace","grayscale image' img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized > 100]","print('Pour installer Potrace: \\n', ' brew install potrace\\n') if exportPNG: png_path = export_file_path","simple_segments_JSON = [] for segment in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2])","the nodes (2=endpoint, 4=crossroads of 3 streets, 5=crossroads of 4 streets, etc.) addresses:","regard to the node ''' img = image.copy() # Find row and column","direction == 0: wrong_paths = [5, 7] elif direction == 1: wrong_paths =","254] = 0 road_network[road_network < 255/2] = 0 road_network[road_network >= 255/2] = 255","x, y = new_x, new_y if nodes_grid[x, y]: end = True else: end","connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels == main_component).astype('uint8')*255","= (labels == main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed to apply largest_component = True","image_name: str, export_file_path: str, exportPNG: bool = False, exportJSON: bool = False, exportSVG:","direction_set = np.where(pix_neighbourhood == True)[0] last_ds = [wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set !=","install imagemagick') print('Pour installer Potrace: \\n', ' brew install potrace\\n') if exportPNG: png_path","full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = True) else: full_segments,","y, direction) assert image[new_x, new_y] != 0, 'ERROR: 2nd point is not white'","the road network min_length: min segment length if the segment is terminal return_simple_ways:","canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for segment","length if the segment is terminal return_simple_ways: if True, compute the Douglas-Peucker simple","nationale de France (BnF) import cv2, thinning, os import numpy as np import","w.field('streetname', 'C', 41, 0) w.field('note', 'C', 32, 0) for i in range(len(simple_ways)): w.line([simple_ways[i]])","exportJSON: bool = False, exportSVG: bool = False, exportSHP: bool = False, geoloc:","this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours == 2)","for r in right: if r in address: new_address.append(r) for d in diagonal.keys():","and column locations that are non-zero (rows, cols) = np.nonzero(img) nodes, degree, addresses","the crossing roads, with regard to the node ''' img = image.copy() #","x_, y_ = x-1, y+1 elif way == 3: x_, y_ = x,","new_x, new_y if nodes_grid[x, y]: end = True else: end = True return","way direction: last direction to reach the 2nd node nodes_grid[x, y]: degree of","[] for segment in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:,","address in df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address'] = new_addresses","add this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours ==","< 254] = 0 road_network[road_network < 255/2] = 0 road_network[road_network >= 255/2] =","== 0: wrong_paths = [5, 7] elif direction == 1: wrong_paths = [6,","installez d'abord Homebrew, ImageMagick et Potrace via le terminal.\\n\") print('Pour installer Homebrew:\\n', '","to reach the 2nd node nodes_grid[x, y]: degree of the arrival node '''","!= 0 # If the number of non-zero locations equals 2, add this","col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int') # Convert into a single 1D array and","simple_segments_JSON = simple_segments else: print('La géolocalisation du réseau filaire ne fonctionne que pour","Potrace: \\n', ' brew install potrace\\n') if exportPNG: png_path = export_file_path else: png_path","absoluteWay(x: int, y: int, way: int): if way == 0: x_, y_ =","of non-zero locations equals 2, add this to our list of coordinates n_neighbours","np import pandas as pd import shapefile as shp from skimage.measure import approximate_polygon","of the arrival node ''' def absoluteWay(x: int, y: int, way: int): if","the road network image to a wired model. Input(s): road_network: black and white","= cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized > 100] = 255 vectorized[vectorized","if geoloc: if exportJSON: project_name = getProjectName() try: with open(os.path.join('save', project_name, 'match' ,","findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = True) else: full_segments, nodes_grid = findSegments(df_nodes,","7] elif direction == 3: wrong_paths = [2, 8] elif direction == 5:","x > 0 and y > 0 and x < image.shape[0]-1 and y","= np.nonzero(img) nodes, degree, addresses = [], [], [] for (r,c) in zip(rows,","road_network[road_network < 255/2] = 0 road_network[road_network >= 255/2] = 255 vectorized = skeletonize(road_network,","Homebrew, ImageMagick et Potrace via le terminal.\\n\") print('Pour installer Homebrew:\\n', ' /usr/bin/ruby -e","'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid = nodes_grid.astype('int') for ind, node in","Douglas-Peucker simple itinerary of each segmenty) ways: list of segments, containing all the","thinning.guo_hall_thinning(img) vectorized[vectorized > 100] = 255 vectorized[vectorized <= 100] = 0 if largest_component:","vectorized: np.ndarray, out_path: str): ''' Save a given set of segments as a","return_simple_ways = True) else: full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways","to index into image col_neigh = col_neigh.astype('int') row_neigh = row_neigh.astype('int') # Convert into","node in df_nodes.iterrows(): for direct in node['address']: code = str(node['x']) + '_' +","format JSON actuellement.') else: simple_segments_JSON = simple_segments if exportJSON: with open(export_file_path.replace('png', 'json'), 'w')","elif way == 3: x_, y_ = x, y-1 elif way == 5:","each segmenty) ways: list of segments, containing all the pixels on the way","y_ = x+1, y elif way == 8: x_, y_ = x+1, y+1","Image, ImageDraw from utils.utils import * from utils.match import toLatLon Image.MAX_IMAGE_PIXELS = 500000000","not white' end = False way = [(x, y)] # First iteration new_x,","s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist()) except: print(\"La géolocalisation de","col_neigh) = np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y, y+1])) # Cast to int to","in the road network skeleton image. Input(s): image: skeletonized image Output(s): nodes: array","if exportJSON: project_name = getProjectName() try: with open(os.path.join('save', project_name, 'match' , 'primary', image_name","nodes in the road network skeleton image. Input(s): image: skeletonized image Output(s): nodes:","cv2, thinning, os import numpy as np import pandas as pd import shapefile","elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if geoloc: if exportJSON: project_name = getProjectName()","min segment length if the segment is terminal return_simple_ways: if True, compute the","return nodes, degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy() new_addresses, new_degree =","= [(x, y)] # First iteration new_x, new_y = absoluteWay(x, y, direction) assert","and stores the pixels on the way. Input(s): start_x: start node x-coordinate start_y:","For Bibliothèque nationale de France (BnF) import cv2, thinning, os import numpy as","1: wrong_paths = [6, 8] elif direction == 2: wrong_paths = [3, 7]","[] for r in right: if r in address: new_address.append(r) for d in","3, -, 5, 6, 7, 8}) image: skeletonized image of the road network","Convert into a single 1D array and check for non-zero locations try: pix_neighbourhood","canvas); bitmap = Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for segment in segments: coords =","= img[row_neigh, col_neigh].ravel() != 0 # If the number of non-zero locations equals","elif direction == 8: wrong_paths = [1, 3] return wrong_paths direction = start_dir","grid of the nodes of the skeletonized image Output(s): way: list of pixel","addresses: directions of the crossing roads, with regard to the node ''' img","etc.) addresses: directions of the crossing roads, with regard to the node '''","segment and return it. Input(s): df_nodes: list of nodes image: skeletonized image of","from utils.utils import * from utils.match import toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network:","install potrace\\n') if exportPNG: png_path = export_file_path else: png_path = os.path.join('workshop', 'thin.png') pnm_path","last_ds = [wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set != 4] last_ds.append(direction_set) direction_set = direction_set[direction_set","'_' + str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways = [] for way in ways:","nodes, degree, addresses = findNodes(vectorized) if len(degree) < 0: return [], [], np.zeros((image.shape[1],","exportSHP: bool = False, geoloc: bool = False): assert (exportPNG or exportJSON or","pix_neighbourhood = img[row_neigh, col_neigh].ravel() != 0 # If the number of non-zero locations","direction until the next node, and stores the pixels on the way. Input(s):","y_ = x-1, y+1 elif way == 3: x_, y_ = x, y-1","!= 4. x, y and way should be of type int.') return x_,","nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length: int = 30, return_simple_ways: bool","5, 6, 7, 8}) image: skeletonized image of the road network nodes_grid: grid","return it Output(s): (Optional)(simple_ways: the Douglas-Peucker simple itinerary of each segmenty) ways: list","way == 3: x_, y_ = x, y-1 elif way == 5: x_,","Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for segment in segments: coords = [] for point","network min_length: min segment length if the segment is terminal return_simple_ways: if True,","compute the Douglas-Peucker simple itinerary of each segment and return it. Input(s): df_nodes:","''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG: print(\"\\nAvertissement: Si vous n'avez jamais","as shp from skimage.measure import approximate_polygon from PIL import Image, ImageDraw from utils.utils","[1, 5] elif direction == 7: wrong_paths = [0, 2] elif direction ==","segment length if the segment is terminal return_simple_ways: if True, compute the Douglas-Peucker","if not(diagonal[d][0] in address) and not(diagonal[d][1] in address): if direction != None: if","ways, nodes_grid else: return ways, nodes_grid def thinImage(image: np.ndarray, image_name: str, export_file_path: str,","else: png_path = os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png', 'svg')","import cv2, thinning, os import numpy as np import pandas as pd import","and r < image.shape[0]-1 and c < image.shape[1]-1: # Extract an 8-connected neighbourhood","du réseau filaire ne fonctionne que pour le format JSON actuellement.') else: simple_segments_JSON","approximate_polygon from PIL import Image, ImageDraw from utils.utils import * from utils.match import","in address: new_address.append(r) for d in diagonal.keys(): if d in address: if not(diagonal[d][0]","address: new_address.append(r) for d in diagonal.keys(): if d in address: if not(diagonal[d][0] in","y]: degree of the arrival node ''' def absoluteWay(x: int, y: int, way:",", 'primary', image_name + '.json')) as data: data = json.load(data) M = np.asarray(data['M'])","r, r+1])) # Cast to int to index into image col_neigh = col_neigh.astype('int')","nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = False) simple_segments = []","col_neigh.astype('int'), row_neigh.astype('int') # Convert into a single 1D array and check for non-zero","between each couple of nodes vectorized: skeletonized image of the road network out_path:","all the pixels on the way between each couple of nodes nodes_grid: image","if not((len(way) <= min_length) and ((node['degree'] == 2) or (degree == 2))): done.append(str(way[-1][0])","way. Input(s): start_x: start node x-coordinate start_y: start node y-coordinate start_dir: starting direction","the image and their degree ''' img = image.copy() done, ways = [],","== 2: x_, y_ = x-1, y+1 elif way == 3: x_, y_","'), way \\ should be comprised between 0 and 8, and != 4.","if the segment is terminal return_simple_ways: if True, compute the Douglas-Peucker simple itinerary","way == 1: x_, y_ = x-1, y elif way == 2: x_,","on the way. Input(s): start_x: start node x-coordinate start_y: start node y-coordinate start_dir:","',' + str(way) + '), way \\ should be comprised between 0 and","np.zeros(image.shape) for ind, row in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid","+ ',' + str(y) + ',' + str(way) + '), way \\ should","{0: [1, 3], 2: [1, 5], 6: [3, 7], 8: [5, 7]} new_address","ind, address in df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address'] =","direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active: for wrong_path","= avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address'] = new_addresses df['degree'] = new_degree return","int, way: int): if way == 0: x_, y_ = x-1, y-1 elif","the number of non-zero locations equals 2, add this to our list of","Input(s): df_nodes: list of nodes image: skeletonized image of the road network min_length:","of the road network image to a wired model. Input(s): road_network: black and","nodes_grid else: return ways, nodes_grid def thinImage(image: np.ndarray, image_name: str, export_file_path: str, exportPNG:","new_addresses df['degree'] = new_degree return df def avoidDiagonalEdges(address: list, direction: int = None):","<= min_length) and ((node['degree'] == 2) or (degree == 2))): done.append(str(way[-1][0]) + '_'","= True direction = 8-start_dir while not(end): if x > 0 and y","= 500000000 def skeletonize(road_network: np.ndarray, path: str = \"workshop/vectorized.png\", largest_component: bool = False):","noTurnBack(direction) wrong_paths_active = True if nodes_grid[x, y]: end = True direction = 8-start_dir","vectorized, export_file_path) elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if geoloc: if exportJSON: project_name","skeleton image. Input(s): image: skeletonized image Output(s): nodes: array of nodes coordinates (x,","que pour le format JSON actuellement.') else: simple_segments_JSON = simple_segments if exportJSON: with","x-coordinate start_y: start node y-coordinate start_dir: starting direction ({0, 1, 2, 3, -,","> 0 and r < image.shape[0]-1 and c < image.shape[1]-1: # Extract an","each couple of nodes vectorized: skeletonized image of the road network out_path: the","= nodes_grid.astype('int') for ind, node in df_nodes.iterrows(): for direct in node['address']: code =","Find row and column locations that are non-zero (rows, cols) = np.nonzero(img) nodes,","+ str(direct) if not(code in done): way, last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct,","way in ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid","Thinning/skeletonization of the road network image to a wired model. Input(s): road_network: black","df_nodes.copy() new_addresses, new_degree = [], [] for ind, address in df['address'].iteritems(): new_address =","image.shape[1]-1: # Extract an 8-connected neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1,","direction = start_dir x, y = start_x, start_y assert image[x, y] != 0,","simple itinerary of each segmenty) ways: list of segments, containing all the pixels","in df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address'] = new_addresses df['degree']","> 0 and c > 0 and r < image.shape[0]-1 and c <","de calculer la géolocalisation de son réseau filaire\".format(image_name)) simple_segments_JSON = simple_segments else: print('La","way = [(x, y)] # First iteration new_x, new_y = absoluteWay(x, y, direction)","of the skeletonized image Output(s): way: list of pixel coordinates on the way","< image.shape[0]-1 and y < image.shape[1]-1: # Extract an 8-connected neighbourhood (row_neigh, col_neigh)","(8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active: for wrong_path in wrong_paths:","way between each couple of nodes vectorized: skeletonized image of the road network","# Convert into a single 1D array and check for non-zero locations try:","img = image.copy() done, ways = [], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid =","print(x, y, image.shape, ) raise AssertionError() # If the number of non-zero locations","y_ = x-1, y-1 elif way == 1: x_, y_ = x-1, y","[3, 7], 8: [5, 7]} new_address = [] for r in right: if","vectorized, min_length = 15, return_simple_ways = False) simple_segments = [] if exportPNG: toPNG(full_segments,","= [] for point in segment: coords.append((point[1], point[0])) draw.line(coords, fill = 'black', width=0)","fonctionne que pour le format JSON actuellement.') else: simple_segments_JSON = simple_segments if exportJSON:","0) w.field('streetname', 'C', 41, 0) w.field('note', 'C', 32, 0) for i in range(len(simple_ways)):","pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree': degree, 'address': addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes","as data: data = json.load(data) M = np.asarray(data['M']) simple_segments_JSON = [] for segment","'ERROR: start point is not white' end = False way = [(x, y)]","and != 4. x, y and way should be of type int.') return","'C', 1, 0) w.field('gid', 'N', 11, 0) w.field('streetname', 'C', 41, 0) w.field('note', 'C',","white) path: path where the skeletonized image should be saved largest_component: if True,","# Convert into a single 1D array and check for non-zero locations pix_neighbourhood","500000000 def skeletonize(road_network: np.ndarray, path: str = \"workshop/vectorized.png\", largest_component: bool = False): '''","r in address: new_address.append(r) for d in diagonal.keys(): if d in address: if","str(node['x']) + '_' + str(node['y']) + '_' + str(direct) if not(code in done):","df['address'] = new_addresses df['degree'] = new_degree return df def avoidDiagonalEdges(address: list, direction: int","+ '_' + str(way[-1][1]) + '_' + str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways =","len(degree) < 0: return [], [], np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0], 'y':","y > 0 and x < image.shape[0]-1 and y < image.shape[1]-1: # Extract","new_y = absoluteWay(x, y, direction) assert image[new_x, new_y] != 0, 'ERROR: 2nd point","installer Potrace: \\n', ' brew install potrace\\n') if exportPNG: png_path = export_file_path else:","bitmap image from the road network. Input(s): segments: list of segments, containing all","the skeletonized image should be saved largest_component: if True, only the largest road","nodes_grid = np.zeros(image.shape) for ind, row in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] =","skeletonized image of the road network min_length: min segment length if the segment","img = image.copy() # Find row and column locations that are non-zero (rows,","def findNodes(image: np.ndarray): ''' Find the nodes in the road network skeleton image.","thinImage(image: np.ndarray, image_name: str, export_file_path: str, exportPNG: bool = False, exportJSON: bool =","new_address.append(r) for d in diagonal.keys(): if d in address: if not(diagonal[d][0] in address)","df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for ind, row in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']]","white' end = False way = [(x, y)] # First iteration new_x, new_y","= findNodes(vectorized) if len(degree) < 0: return [], [], np.zeros((image.shape[1], image.shape[0])) df_nodes =","elif direction == 1: wrong_paths = [6, 8] elif direction == 2: wrong_paths","== True)[0] last_ds = [wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set != 4] last_ds.append(direction_set) direction_set","True)[0] direction_set = direction_set[direction_set != 4] addresses.append(direction_set) nodes = np.asarray(nodes) return nodes, degree,","os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png', 'svg') os.system('convert ' +","road network image to a wired model. Input(s): road_network: black and white image","géolocalisation de son réseau filaire\".format(image_name)) simple_segments_JSON = simple_segments else: print('La géolocalisation du réseau","= np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r, r+1])) # Cast to int to index","str, exportPNG: bool = False, exportJSON: bool = False, exportSVG: bool = False,","min_length: int = 30, return_simple_ways: bool = True): ''' Find all the road","2) or (degree == 2))): done.append(str(way[-1][0]) + '_' + str(way[-1][1]) + '_' +","True) else: full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = False)","def avoidDiagonalEdges(address: list, direction: int = None): right, diagonal = [1, 3, 5,","in segment: coords.append((point[1], point[0])) draw.line(coords, fill = 'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path):","image: skeletonized image Output(s): nodes: array of nodes coordinates (x, y) degree: degrees","diagonal[d]): new_address.append(d) else: new_address.append(d) return new_address def explorePath(start_x: int, start_y: int, start_dir: int,","int to index into image col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int') # Convert into","return [], [], np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree': degree,","vectorized def findNodes(image: np.ndarray): ''' Find the nodes in the road network skeleton","= False) simple_segments = [] if exportPNG: toPNG(full_segments, vectorized, export_file_path) elif exportSVG: toPNG(full_segments,","until the next node, and stores the pixels on the way. Input(s): start_x:","= np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y, y+1])) # Cast to int to index","start_dir x, y = start_x, start_y assert image[x, y] != 0, 'ERROR: start","are longer than a given length or non-terminal. Optionally, compute the Douglas-Peucker simple","kept Output(s): vectorized: skeletonized image ''' assert len(road_network.shape) == 2, 'ERROR: road_network must","nodes_grid = nodes_grid.astype('int') for ind, node in df_nodes.iterrows(): for direct in node['address']: code","[2, 8] elif direction == 5: wrong_paths = [0, 6] elif direction ==","0: wrong_paths = [5, 7] elif direction == 1: wrong_paths = [6, 8]","noTurnBack(direction: int): wrong_paths = [] if direction == 0: wrong_paths = [5, 7]","largest_component: try: _, labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:]","np.asarray(data['M']) simple_segments_JSON = [] for segment in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:,","the next node, and stores the pixels on the way. Input(s): start_x: start","except: print(x, y, image.shape, ) raise AssertionError() # If the number of non-zero","if d in address: if not(diagonal[d][0] in address) and not(diagonal[d][1] in address): if","if len(direction_set) != 1: end = True break direction = direction_set[0] new_x, new_y","utils.utils import * from utils.match import toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network: np.ndarray,","[], [] for (r,c) in zip(rows, cols): if r > 0 and c","= x-1, y+1 elif way == 3: x_, y_ = x, y-1 elif","wrong_paths_active: for wrong_path in wrong_paths: direction_set = direction_set[direction_set != wrong_path] wrong_paths_active = False","0) w.field('gid', 'N', 11, 0) w.field('streetname', 'C', 41, 0) w.field('note', 'C', 32, 0)","if way == 0: x_, y_ = x-1, y-1 elif way == 1:","[(x, y)] # First iteration new_x, new_y = absoluteWay(x, y, direction) assert image[new_x,","full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = False) simple_segments =","image: skeletonized image of the road network nodes_grid: grid of the nodes of","= True return way, direction, nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length:","a bitmap image from the road network. Input(s): segments: list of segments, containing","last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active: for wrong_path in wrong_paths: direction_set","simple_ways, ways, nodes_grid else: return ways, nodes_grid def thinImage(image: np.ndarray, image_name: str, export_file_path:","non-zero (rows, cols) = np.nonzero(img) nodes, degree, addresses = [], [], [] for","simple_segments = [] if exportPNG: toPNG(full_segments, vectorized, export_file_path) elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop',","df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address'] = new_addresses df['degree'] =","non-zero locations equals 2, add this to our list of coordinates n_neighbours =","= 0 if largest_component: try: _, labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA)","if direction != None: if not((8-direction) in diagonal[d]): new_address.append(d) else: new_address.append(d) return new_address","np.asarray(nodes) return nodes, degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy() new_addresses, new_degree","y, y+1])) # Cast to int to index into image col_neigh, row_neigh =","JSON actuellement.') else: simple_segments_JSON = simple_segments if exportJSON: with open(export_file_path.replace('png', 'json'), 'w') as","min_length) and ((node['degree'] == 2) or (degree == 2))): done.append(str(way[-1][0]) + '_' +","image: skeletonized image of the road network min_length: min segment length if the","5], 6: [3, 7], 8: [5, 7]} new_address = [] for r in","7]} new_address = [] for r in right: if r in address: new_address.append(r)","[], [], [] for (r,c) in zip(rows, cols): if r > 0 and","encore été calculée. Par conséquent, \\ il n'est pas possible de calculer la","6: x_, y_ = x+1, y-1 elif way == 7: x_, y_ =","'Warning: Skeletonization failed to apply largest_component = True param. Skipping.' cv2.imwrite(path, vectorized) return","(2=endpoint, 4=crossroads of 3 streets, 5=crossroads of 4 streets, etc.) addresses: directions of","Potrace via le terminal.\\n\") print('Pour installer Homebrew:\\n', ' /usr/bin/ruby -e \"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\"')","to apply largest_component = True param. Skipping.' cv2.imwrite(path, vectorized) return vectorized def findNodes(image:","y, image.shape, ) raise AssertionError() # If the number of non-zero locations equals","0 if largest_component: try: _, labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats","de son réseau filaire\".format(image_name)) simple_segments_JSON = simple_segments else: print('La géolocalisation du réseau filaire","the pixels on the way. Input(s): start_x: start node x-coordinate start_y: start node","min_length: min segment length if the segment is terminal return_simple_ways: if True, compute","ind, node in df_nodes.iterrows(): for direct in node['address']: code = str(node['x']) + '_'","y+1 else: raise AttributeError('Parameters invalid: (' + str(x) + ',' + str(y) +","and y < image.shape[1]-1: # Extract an 8-connected neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1,","= os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png', 'svg') os.system('convert ' + png_path + pnm_path)","nodes_grid def thinImage(image: np.ndarray, image_name: str, export_file_path: str, exportPNG: bool = False, exportJSON:","the way. Input(s): start_x: start node x-coordinate start_y: start node y-coordinate start_dir: starting","Input(s): start_x: start node x-coordinate start_y: start node y-coordinate start_dir: starting direction ({0,","way == 0: x_, y_ = x-1, y-1 elif way == 1: x_,","= np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active: for wrong_path in wrong_paths: direction_set = direction_set[direction_set","image.shape[0]-1 and y < image.shape[1]-1: # Extract an 8-connected neighbourhood (row_neigh, col_neigh) =","project_name, 'match' , 'primary', image_name + '.json')) as data: data = json.load(data) M","equals 2, add this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set","> 100] = 255 vectorized[vectorized <= 100] = 0 if largest_component: try: _,","x-1, y-1 elif way == 1: x_, y_ = x-1, y elif way","road network skeleton image. Input(s): image: skeletonized image Output(s): nodes: array of nodes","or non-terminal. Optionally, compute the Douglas-Peucker simple itinerary of each segment and return","of each segment and return it. Input(s): df_nodes: list of nodes image: skeletonized","calculée. Par conséquent, \\ il n'est pas possible de calculer la géolocalisation de","image of the road network out_path: the path, where the output bitmap image","and ((node['degree'] == 2) or (degree == 2))): done.append(str(way[-1][0]) + '_' + str(way[-1][1])","if exportJSON: with open(export_file_path.replace('png', 'json'), 'w') as outfile: json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png',","import Image, ImageDraw from utils.utils import * from utils.match import toLatLon Image.MAX_IMAGE_PIXELS =","new_address def explorePath(start_x: int, start_y: int, start_dir: int, image: np.ndarray, nodes_grid: np.ndarray): '''","col_neigh = col_neigh.astype('int') row_neigh = row_neigh.astype('int') # Convert into a single 1D array","le terminal.\\n\") print('Pour installer Homebrew:\\n', ' /usr/bin/ruby -e \"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\"') print('Pour installer","0 and 8, and != 4. x, y and way should be of","direction ({0, 1, 2, 3, -, 5, 6, 7, 8}) image: skeletonized image","in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid = nodes_grid.astype('int') for ind,","255/2] = 0 road_network[road_network >= 255/2] = 255 vectorized = skeletonize(road_network, largest_component =","}) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] != 3] if","for ind, row in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid =","bool = False, exportSVG: bool = False, exportSHP: bool = False, geoloc: bool","and y > 0 and x < image.shape[0]-1 and y < image.shape[1]-1: #","np.array([r-1, r, r+1])) # Cast to int to index into image col_neigh =","== 3: wrong_paths = [2, 8] elif direction == 5: wrong_paths = [0,","elif way == 8: x_, y_ = x+1, y+1 else: raise AttributeError('Parameters invalid:","the segment is terminal return_simple_ways: if True, compute the Douglas-Peucker simple itinerary of","the 2nd node nodes_grid[x, y]: degree of the arrival node ''' def absoluteWay(x:","[5, 7] elif direction == 1: wrong_paths = [6, 8] elif direction ==","None): right, diagonal = [1, 3, 5, 7], {0: [1, 3], 2: [1,","bitmap = Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for segment in segments: coords = []","col_neigh].transpose().ravel() != 0 except: print(x, y, image.shape, ) raise AssertionError() # If the","# Coded by <NAME> https://github.com/RPetitpierre # For Bibliothèque nationale de France (BnF) import","réseau filaire\".format(image_name)) simple_segments_JSON = simple_segments else: print('La géolocalisation du réseau filaire ne fonctionne","jamais utilisé cette commande, \\ installez d'abord Homebrew, ImageMagick et Potrace via le","direction == 6: wrong_paths = [1, 5] elif direction == 7: wrong_paths =","way.append((new_x, new_y)) x, y = new_x, new_y if nodes_grid[x, y]: end = True","def explorePath(start_x: int, start_y: int, start_dir: int, image: np.ndarray, nodes_grid: np.ndarray): ''' Follow","' -s -o ' + svg_path) return simple_segments, full_segments, nodes_grid def toPNG(segments: list,","!= (8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active: for wrong_path in","the nodes found in the image and their degree ''' img = image.copy()","an 8-connected neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r, r+1])) #","d in address: if not(diagonal[d][0] in address) and not(diagonal[d][1] in address): if direction","= new_x, new_y if nodes_grid[x, y]: end = True else: end = True","image[row_neigh, col_neigh].transpose().ravel() != 0 except: print(x, y, image.shape, ) raise AssertionError() # If","df_nodes[df_nodes['degree'] != 3] if (exportJSON or exportSHP): simple_segments, full_segments, nodes_grid = findSegments(df_nodes, vectorized,","pd.DataFrame): df = df_nodes.copy() new_addresses, new_degree = [], [] for ind, address in","({0, 1, 2, 3, -, 5, 6, 7, 8}) image: skeletonized image of","address) and not(diagonal[d][1] in address): if direction != None: if not((8-direction) in diagonal[d]):","else: return ways, nodes_grid def thinImage(image: np.ndarray, image_name: str, export_file_path: str, exportPNG: bool","/usr/bin/ruby -e \"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\"') print('Pour installer ImageMagick:\\n', ' brew install imagemagick') print('Pour","if largest_component: try: _, labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats =","# Find row and column locations that are non-zero (rows, cols) = np.nonzero(img)","network. Keep the ones that are longer than a given length or non-terminal.","simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid else: return ways, nodes_grid def thinImage(image: np.ndarray,","in white) path: path where the skeletonized image should be saved largest_component: if","return_simple_ways = False) simple_segments = [] if exportPNG: toPNG(full_segments, vectorized, export_file_path) elif exportSVG:","single 1D array and check for non-zero locations try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel()","n'avez jamais utilisé cette commande, \\ installez d'abord Homebrew, ImageMagick et Potrace via","== 8: wrong_paths = [1, 3] return wrong_paths direction = start_dir x, y","nodes image: skeletonized image of the road network min_length: min segment length if","2:3].transpose()).tolist()) except: print(\"La géolocalisation de l'image {} n'a pas encore été calculée. Par","= explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way) <= min_length) and ((node['degree'] ==","Skipping.' cv2.imwrite(path, vectorized) return vectorized def findNodes(image: np.ndarray): ''' Find the nodes in","image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid else: return ways, nodes_grid def thinImage(image:","= row_neigh.astype('int') # Convert into a single 1D array and check for non-zero","6] elif direction == 6: wrong_paths = [1, 5] elif direction == 7:","for (r,c) in zip(rows, cols): if r > 0 and c > 0","the way between each couple of nodes vectorized: skeletonized image of the road","image: np.ndarray, nodes_grid: np.ndarray): ''' Follow the path from one given start node","> 0 and x < image.shape[0]-1 and y < image.shape[1]-1: # Extract an","w = shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0) w.field('gid', 'N', 11, 0) w.field('streetname', 'C',","in address: if not(diagonal[d][0] in address) and not(diagonal[d][1] in address): if direction !=","return simple_ways, ways, nodes_grid else: return ways, nodes_grid def thinImage(image: np.ndarray, image_name: str,","n'est pas possible de calculer la géolocalisation de son réseau filaire\".format(image_name)) simple_segments_JSON =","def toPNG(segments: list, vectorized: np.ndarray, out_path: str): ''' Save a given set of","starting direction ({0, 1, 2, 3, -, 5, 6, 7, 8}) image: skeletonized","segment and return it Output(s): (Optional)(simple_ways: the Douglas-Peucker simple itinerary of each segmenty)","with open(export_file_path.replace('png', 'json'), 'w') as outfile: json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True)","1, 0) w.field('gid', 'N', 11, 0) w.field('streetname', 'C', 41, 0) w.field('note', 'C', 32,","= x, y-1 elif way == 5: x_, y_ = x, y+1 elif","start_x: start node x-coordinate start_y: start node y-coordinate start_dir: starting direction ({0, 1,","7, 8}) image: skeletonized image of the road network nodes_grid: grid of the","df = df_nodes.copy() new_addresses, new_degree = [], [] for ind, address in df['address'].iteritems():","new_y wrong_paths = noTurnBack(direction) wrong_paths_active = True if nodes_grid[x, y]: end = True","cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized > 100] = 255 vectorized[vectorized <=","3: wrong_paths = [2, 8] elif direction == 5: wrong_paths = [0, 6]","= export_file_path.replace('png', 'svg') os.system('convert ' + png_path + pnm_path) os.system('potrace ' + pnm_path","import pandas as pd import shapefile as shp from skimage.measure import approximate_polygon from","np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y, y+1])) # Cast to int to index into","done, ways = [], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for ind,","road_network[road_network < 254] = 0 road_network[road_network < 255/2] = 0 road_network[road_network >= 255/2]","min_length = 15, return_simple_ways = True) else: full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length","segment: coords.append((point[1], point[0])) draw.line(coords, fill = 'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path): w","numpy as np import pandas as pd import shapefile as shp from skimage.measure","if direction == 0: wrong_paths = [5, 7] elif direction == 1: wrong_paths","into image col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int') # Convert into a single 1D","il n'est pas possible de calculer la géolocalisation de son réseau filaire\".format(image_name)) simple_segments_JSON","in node['address']: code = str(node['x']) + '_' + str(node['y']) + '_' + str(direct)","segments: coords = [] for point in segment: coords.append((point[1], point[0])) draw.line(coords, fill =","non-zero locations pix_neighbourhood = img[row_neigh, col_neigh].ravel() != 0 # If the number of","in the network. Keep the ones that are longer than a given length","toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG: print(\"\\nAvertissement: Si vous n'avez jamais utilisé cette","[3, 7] elif direction == 3: wrong_paths = [2, 8] elif direction ==","as np import pandas as pd import shapefile as shp from skimage.measure import","if nodes_grid[x, y]: end = True else: end = True return way, direction,","segments in the network. Keep the ones that are longer than a given","else: raise AttributeError('Parameters invalid: (' + str(x) + ',' + str(y) + ','","= False way = [(x, y)] # First iteration new_x, new_y = absoluteWay(x,","if len(degree) < 0: return [], [], np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0],","\\ should be comprised between 0 and 8, and != 4. x, y","False, exportSHP: bool = False, geoloc: bool = False): assert (exportPNG or exportJSON","direction_set = direction_set[direction_set != wrong_path] wrong_paths_active = False if len(direction_set) != 1: end","coordinates on the way direction: last direction to reach the 2nd node nodes_grid[x,","len(direction_set) != 1: end = True break direction = direction_set[0] new_x, new_y =","str(way[-1][1]) + '_' + str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways = [] for way","nodes (2=endpoint, 4=crossroads of 3 streets, 5=crossroads of 4 streets, etc.) addresses: directions","y_ = x+1, y-1 elif way == 7: x_, y_ = x+1, y","-o ' + svg_path) return simple_segments, full_segments, nodes_grid def toPNG(segments: list, vectorized: np.ndarray,","new_address.append(d) return new_address def explorePath(start_x: int, start_y: int, start_dir: int, image: np.ndarray, nodes_grid:","only the largest road network component will be kept Output(s): vectorized: skeletonized image","df_nodes = cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] != 3] if (exportJSON or exportSHP): simple_segments,","filaire ne fonctionne que pour le format JSON actuellement.') else: simple_segments_JSON = simple_segments","new_degree = [], [] for ind, address in df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address)","= thinning.guo_hall_thinning(img) vectorized[vectorized > 100] = 255 vectorized[vectorized <= 100] = 0 if","addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy() new_addresses, new_degree = [], [] for","next node, and stores the pixels on the way. Input(s): start_x: start node","np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active: for wrong_path in wrong_paths: direction_set = direction_set[direction_set !=","done.append(str(way[-1][0]) + '_' + str(way[-1][1]) + '_' + str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways","0, 'ERROR: 2nd point is not white' way.append((new_x, new_y)) x, y = new_x,","in the image and their degree ''' img = image.copy() done, ways =","is not white' end = False way = [(x, y)] # First iteration","else: simple_segments_JSON = simple_segments if exportJSON: with open(export_file_path.replace('png', 'json'), 'w') as outfile: json.dump(simple_segments_JSON,","'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path): w = shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0)","[] if exportPNG: toPNG(full_segments, vectorized, export_file_path) elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if","+ '), way \\ should be comprised between 0 and 8, and !=","itinerary of each segmenty) ways: list of segments, containing all the pixels on","np.ndarray, image_name: str, export_file_path: str, exportPNG: bool = False, exportJSON: bool = False,","BackThen Maps # Coded by <NAME> https://github.com/RPetitpierre # For Bibliothèque nationale de France","set of segments as a bitmap image from the road network. Input(s): segments:","toShapefile(simple_ways, out_path): w = shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0) w.field('gid', 'N', 11, 0)","img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized > 100] = 255","if r > 0 and c > 0 and r < image.shape[0]-1 and","array and check for non-zero locations pix_neighbourhood = img[row_neigh, col_neigh].ravel() != 0 #","or (n_neighbours >= 4): nodes.append((r, c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood == True)[0] direction_set","main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels == main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed to","str(way) + '), way \\ should be comprised between 0 and 8, and","= findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = True) else: full_segments, nodes_grid =","stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels == main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed","8-connected neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r, r+1])) # Cast","np.ndarray): ''' Find the nodes in the road network skeleton image. Input(s): image:","df_nodes = df_nodes[df_nodes['degree'] != 3] if (exportJSON or exportSHP): simple_segments, full_segments, nodes_grid =","filaire\".format(image_name)) simple_segments_JSON = simple_segments else: print('La géolocalisation du réseau filaire ne fonctionne que","skeletonized image Output(s): nodes: array of nodes coordinates (x, y) degree: degrees of","6, 7, 8}) image: skeletonized image of the road network nodes_grid: grid of","Find all the road segments in the network. Keep the ones that are","la géolocalisation de son réseau filaire\".format(image_name)) simple_segments_JSON = simple_segments else: print('La géolocalisation du","False, exportJSON: bool = False, exportSVG: bool = False, exportSHP: bool = False,","pnm_path = os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png', 'svg') os.system('convert ' + png_path +","int, image: np.ndarray, nodes_grid: np.ndarray): ''' Follow the path from one given start","Save a given set of segments as a bitmap image from the road","M[:, 2:3].transpose()).tolist()) except: print(\"La géolocalisation de l'image {} n'a pas encore été calculée.","row in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid = nodes_grid.astype('int') for","try: with open(os.path.join('save', project_name, 'match' , 'primary', image_name + '.json')) as data: data","should be saved largest_component: if True, only the largest road network component will","= shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0) w.field('gid', 'N', 11, 0) w.field('streetname', 'C', 41,","exportSHP): simple_segments, full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = True)","7: wrong_paths = [0, 2] elif direction == 8: wrong_paths = [1, 3]","directions of the crossing roads, with regard to the node ''' img =","Par conséquent, \\ il n'est pas possible de calculer la géolocalisation de son","if True, compute the Douglas-Peucker simple itinerary of each segment and return it","'thin.png')) if geoloc: if exportJSON: project_name = getProjectName() try: with open(os.path.join('save', project_name, 'match'",">= 255/2] = 255 vectorized = skeletonize(road_network, largest_component = True) nodes, degree, addresses","df_nodes: list of nodes image: skeletonized image of the road network min_length: min","json.load(data) M = np.asarray(data['M']) simple_segments_JSON = [] for segment in simple_segments: s =","pixels on the way between each couple of nodes vectorized: skeletonized image of","row_neigh = col_neigh.astype('int'), row_neigh.astype('int') # Convert into a single 1D array and check","findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = False) simple_segments = [] if exportPNG:","Keep the ones that are longer than a given length or non-terminal. Optionally,","Douglas-Peucker simple itinerary of each segment and return it Output(s): (Optional)(simple_ways: the Douglas-Peucker","1D array and check for non-zero locations try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() !=","int): if way == 0: x_, y_ = x-1, y-1 elif way ==","coords.append((point[1], point[0])) draw.line(coords, fill = 'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path): w =","(x, y) degree: degrees of the nodes (2=endpoint, 4=crossroads of 3 streets, 5=crossroads","y elif way == 2: x_, y_ = x-1, y+1 elif way ==","os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png', 'svg') os.system('convert ' + png_path + pnm_path) os.system('potrace","np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist()) except: print(\"La géolocalisation de l'image {}","elif way == 2: x_, y_ = x-1, y+1 elif way == 3:","x_, y_ def noTurnBack(direction: int): wrong_paths = [] if direction == 0: wrong_paths","\"workshop/vectorized.png\", largest_component: bool = False): ''' Thinning/skeletonization of the road network image to","a given set of segments as a bitmap image from the road network.","node ''' def absoluteWay(x: int, y: int, way: int): if way == 0:","= df_nodes.copy() new_addresses, new_degree = [], [] for ind, address in df['address'].iteritems(): new_address","= image.copy() done, ways = [], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape)","if not(code in done): way, last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid)","= 255 vectorized[vectorized <= 100] = 0 if largest_component: try: _, labels, stats,","img[row_neigh, col_neigh].ravel() != 0 # If the number of non-zero locations equals 2,","Optionally, compute the Douglas-Peucker simple itinerary of each segment and return it. Input(s):","print('La géolocalisation du réseau filaire ne fonctionne que pour le format JSON actuellement.')","ne fonctionne que pour le format JSON actuellement.') else: simple_segments_JSON = simple_segments if","= new_x, new_y wrong_paths = noTurnBack(direction) wrong_paths_active = True if nodes_grid[x, y]: end","largest_component = True) nodes, degree, addresses = findNodes(vectorized) if len(degree) < 0: return","[6, 8] elif direction == 2: wrong_paths = [3, 7] elif direction ==","image.copy() # Find row and column locations that are non-zero (rows, cols) =","= df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] != 3] if (exportJSON or","min_length = 15, return_simple_ways = False) simple_segments = [] if exportPNG: toPNG(full_segments, vectorized,","= direction_set[0] new_x, new_y = absoluteWay(x, y, direction) way.append((new_x, new_y)) x, y =","réseau filaire ne fonctionne que pour le format JSON actuellement.') else: simple_segments_JSON =","last_ds.append(direction_set) if wrong_paths_active: for wrong_path in wrong_paths: direction_set = direction_set[direction_set != wrong_path] wrong_paths_active","white image of the road network (streets in white) path: path where the","of type int.') return x_, y_ def noTurnBack(direction: int): wrong_paths = [] if","addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] != 3]","(col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r, r+1])) # Cast to int","road_network = image.copy() road_network[road_network < 254] = 0 road_network[road_network < 255/2] = 0","> 0 and y > 0 and x < image.shape[0]-1 and y <","7], {0: [1, 3], 2: [1, 5], 6: [3, 7], 8: [5, 7]}","bool = False, exportSHP: bool = False, geoloc: bool = False): assert (exportPNG","'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png', 'svg') os.system('convert ' + png_path","= new_degree return df def avoidDiagonalEdges(address: list, direction: int = None): right, diagonal","a wired model. Input(s): road_network: black and white image of the road network","[1, 3], 2: [1, 5], 6: [3, 7], 8: [5, 7]} new_address =","degrees of the nodes (2=endpoint, 4=crossroads of 3 streets, 5=crossroads of 4 streets,","and 8, and != 4. x, y and way should be of type","-, 5, 6, 7, 8}) image: skeletonized image of the road network nodes_grid:","(road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized > 100] = 255 vectorized[vectorized <= 100]","1: x_, y_ = x-1, y elif way == 2: x_, y_ =","iteration new_x, new_y = absoluteWay(x, y, direction) assert image[new_x, new_y] != 0, 'ERROR:","stores the pixels on the way. Input(s): start_x: start node x-coordinate start_y: start","x-1, y elif way == 2: x_, y_ = x-1, y+1 elif way","pd import shapefile as shp from skimage.measure import approximate_polygon from PIL import Image,","== 5: wrong_paths = [0, 6] elif direction == 6: wrong_paths = [1,","= start_dir x, y = start_x, start_y assert image[x, y] != 0, 'ERROR:","''), image_name)) if exportSVG: print(\"\\nAvertissement: Si vous n'avez jamais utilisé cette commande, \\","= True) else: full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways =","_, labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component =","= [5, 7] elif direction == 1: wrong_paths = [6, 8] elif direction","np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood == True)[0] last_ds = [wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set","new_addresses, new_degree = [], [] for ind, address in df['address'].iteritems(): new_address = avoidDiagonalEdges(address)","way, direction, nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length: int = 30,","in segments: coords = [] for point in segment: coords.append((point[1], point[0])) draw.line(coords, fill","y_ def noTurnBack(direction: int): wrong_paths = [] if direction == 0: wrong_paths =","neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y, y+1])) # Cast to","not(diagonal[d][1] in address): if direction != None: if not((8-direction) in diagonal[d]): new_address.append(d) else:","== 1: x_, y_ = x-1, y elif way == 2: x_, y_","largest_component: if True, only the largest road network component will be kept Output(s):","the Douglas-Peucker simple itinerary of each segmenty) ways: list of segments, containing all","df['degree'] = new_degree return df def avoidDiagonalEdges(address: list, direction: int = None): right,","vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized > 100] = 255 vectorized[vectorized <= 100] = 0","export_file_path else: png_path = os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png',","vectorized = (labels == main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed to apply largest_component =","np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r, r+1])) # Cast to int to index into","path from one given start node and direction until the next node, and","!= 0, 'ERROR: start point is not white' end = False way =","way: int): if way == 0: x_, y_ = x-1, y-1 elif way","4. x, y and way should be of type int.') return x_, y_","way == 2: x_, y_ = x-1, y+1 elif way == 3: x_,","of each segmenty) ways: list of segments, containing all the pixels on the","direction = 8-start_dir while not(end): if x > 0 and y > 0","+ str(y) + ',' + str(way) + '), way \\ should be comprised","= direction_set[direction_set != wrong_path] wrong_paths_active = False if len(direction_set) != 1: end =","np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree': degree, 'address': addresses })","it Output(s): (Optional)(simple_ways: the Douglas-Peucker simple itinerary of each segmenty) ways: list of","2) or (n_neighbours >= 4): nodes.append((r, c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood == True)[0]","return_simple_ways: if True, compute the Douglas-Peucker simple itinerary of each segment and return","nodes vectorized: skeletonized image of the road network out_path: the path, where the","open(os.path.join('save', project_name, 'match' , 'primary', image_name + '.json')) as data: data = json.load(data)","list of segments, containing all the pixels on the way between each couple","return_simple_ways: bool = True): ''' Find all the road segments in the network.","= stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels == main_component).astype('uint8')*255 except: 'Warning: Skeletonization","False, geoloc: bool = False): assert (exportPNG or exportJSON or exportSVG or exportSHP)","0, 'ERROR: start point is not white' end = False way = [(x,","to a wired model. Input(s): road_network: black and white image of the road","nodes of the skeletonized image Output(s): way: list of pixel coordinates on the","simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist()) except: print(\"La géolocalisation de l'image {} n'a pas","coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood == True)[0] last_ds = [wrong_paths] last_ds.append(direction_set)","nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid = nodes_grid.astype('int') for ind, node in df_nodes.iterrows(): for","= True) nodes, degree, addresses = findNodes(vectorized) if len(degree) < 0: return [],","locations pix_neighbourhood = img[row_neigh, col_neigh].ravel() != 0 # If the number of non-zero","of 3 streets, 5=crossroads of 4 streets, etc.) addresses: directions of the crossing","exportSVG: bool = False, exportSHP: bool = False, geoloc: bool = False): assert","not(end): if x > 0 and y > 0 and x < image.shape[0]-1","largest_component: bool = False): ''' Thinning/skeletonization of the road network image to a","to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours == 2) or","image_name)) if exportSVG: print(\"\\nAvertissement: Si vous n'avez jamais utilisé cette commande, \\ installez","import shapefile as shp from skimage.measure import approximate_polygon from PIL import Image, ImageDraw","Input(s): road_network: black and white image of the road network (streets in white)","direction == 1: wrong_paths = [6, 8] elif direction == 2: wrong_paths =","ind, row in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid = nodes_grid.astype('int')","np.where(pix_neighbourhood == True)[0] direction_set = direction_set[direction_set != 4] addresses.append(direction_set) nodes = np.asarray(nodes) return","addresses = [], [], [] for (r,c) in zip(rows, cols): if r >","y]: end = True direction = 8-start_dir while not(end): if x > 0","list of pixel coordinates on the way direction: last direction to reach the","= pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree': degree, 'address': addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True)","'y': nodes[:,1], 'degree': degree, 'address': addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes)","try: _, labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component","= [1, 5] elif direction == 7: wrong_paths = [0, 2] elif direction","Convert to B&W road_network = image.copy() road_network[road_network < 254] = 0 road_network[road_network <","for ind, address in df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address']","géolocalisation de l'image {} n'a pas encore été calculée. Par conséquent, \\ il","code = str(node['x']) + '_' + str(node['y']) + '_' + str(direct) if not(code","and x < image.shape[0]-1 and y < image.shape[1]-1: # Extract an 8-connected neighbourhood","y] != 0, 'ERROR: start point is not white' end = False way","direction to reach the 2nd node nodes_grid[x, y]: degree of the arrival node","new_degree.append(len(new_address) + 1) df['address'] = new_addresses df['degree'] = new_degree return df def avoidDiagonalEdges(address:","== 7: wrong_paths = [0, 2] elif direction == 8: wrong_paths = [1,","of the nodes of the skeletonized image Output(s): way: list of pixel coordinates","y elif way == 8: x_, y_ = x+1, y+1 else: raise AttributeError('Parameters","coordinates (x, y) degree: degrees of the nodes (2=endpoint, 4=crossroads of 3 streets,","wrong_paths_active = False if len(direction_set) != 1: end = True break direction =","their degree ''' img = image.copy() done, ways = [], [] df_nodes =","< image.shape[1]-1: # Extract an 8-connected neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x, x+1]),","x_, y_ = x-1, y-1 elif way == 1: x_, y_ = x-1,","image should be save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png')","pas encore été calculée. Par conséquent, \\ il n'est pas possible de calculer","point in segment: coords.append((point[1], point[0])) draw.line(coords, fill = 'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways,","''' Follow the path from one given start node and direction until the","AssertionError() # If the number of non-zero locations equals 2, add this to","(exportPNG or exportJSON or exportSVG or exportSHP) # Convert to B&W road_network =","network component will be kept Output(s): vectorized: skeletonized image ''' assert len(road_network.shape) ==","given start node and direction until the next node, and stores the pixels","the pixels on the way between each couple of nodes vectorized: skeletonized image","[] if direction == 0: wrong_paths = [5, 7] elif direction == 1:","0 except: print(x, y, image.shape, ) raise AssertionError() # If the number of","First iteration new_x, new_y = absoluteWay(x, y, direction) assert image[new_x, new_y] != 0,","way should be of type int.') return x_, y_ def noTurnBack(direction: int): wrong_paths","model. Input(s): road_network: black and white image of the road network (streets in","# For Bibliothèque nationale de France (BnF) import cv2, thinning, os import numpy","from PIL import Image, ImageDraw from utils.utils import * from utils.match import toLatLon","new_y = absoluteWay(x, y, direction) way.append((new_x, new_y)) x, y = new_x, new_y if","from the road network. Input(s): segments: list of segments, containing all the pixels","largest_component = True param. Skipping.' cv2.imwrite(path, vectorized) return vectorized def findNodes(image: np.ndarray): '''","== 2, 'ERROR: road_network must be grayscale image' img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2))","4] last_ds.append(direction_set) direction_set = direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set)","index into image col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int') # Convert into a single","1: end = True break direction = direction_set[0] new_x, new_y = absoluteWay(x, y,","of the road network out_path: the path, where the output bitmap image should","address): if direction != None: if not((8-direction) in diagonal[d]): new_address.append(d) else: new_address.append(d) return","2nd node nodes_grid[x, y]: degree of the arrival node ''' def absoluteWay(x: int,","be of type int.') return x_, y_ def noTurnBack(direction: int): wrong_paths = []","+ ' -s -o ' + svg_path) return simple_segments, full_segments, nodes_grid def toPNG(segments:","[1, 5], 6: [3, 7], 8: [5, 7]} new_address = [] for r","a given length or non-terminal. Optionally, compute the Douglas-Peucker simple itinerary of each","Douglas-Peucker simple itinerary of each segment and return it. Input(s): df_nodes: list of","network. Input(s): segments: list of segments, containing all the pixels on the way","+ str(way) + '), way \\ should be comprised between 0 and 8,","6: wrong_paths = [1, 5] elif direction == 7: wrong_paths = [0, 2]","assert image[new_x, new_y] != 0, 'ERROR: 2nd point is not white' way.append((new_x, new_y))","x_, y_ = x-1, y elif way == 2: x_, y_ = x-1,","width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path): w = shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0) w.field('gid',","ImageMagick:\\n', ' brew install imagemagick') print('Pour installer Potrace: \\n', ' brew install potrace\\n')","int = None): right, diagonal = [1, 3, 5, 7], {0: [1, 3],","nodes[:,1], 'degree': degree, 'address': addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes","= image.copy() # Find row and column locations that are non-zero (rows, cols)","image' img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized > 100] =","absoluteWay(x, y, direction) way.append((new_x, new_y)) x, y = new_x, new_y if nodes_grid[x, y]:","x+1, y-1 elif way == 7: x_, y_ = x+1, y elif way","image of the road network nodes_grid: grid of the nodes of the skeletonized","of the road network nodes_grid: grid of the nodes of the skeletonized image","= [] if exportPNG: toPNG(full_segments, vectorized, export_file_path) elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png'))","== 3: x_, y_ = x, y-1 elif way == 5: x_, y_","of segments as a bitmap image from the road network. Input(s): segments: list","road network. Input(s): segments: list of segments, containing all the pixels on the","this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood ==","= \"workshop/vectorized.png\", largest_component: bool = False): ''' Thinning/skeletonization of the road network image","export_file_path: str, exportPNG: bool = False, exportJSON: bool = False, exportSVG: bool =","str(node['y']) + '_' + str(direct) if not(code in done): way, last_direct, degree =","skeletonize(road_network, largest_component = True) nodes, degree, addresses = findNodes(vectorized) if len(degree) < 0:","of nodes nodes_grid: image containing all the nodes found in the image and","= True): ''' Find all the road segments in the network. Keep the","of each segment and return it Output(s): (Optional)(simple_ways: the Douglas-Peucker simple itinerary of","if not((8-direction) in diagonal[d]): new_address.append(d) else: new_address.append(d) return new_address def explorePath(start_x: int, start_y:","y_ = x, y+1 elif way == 6: x_, y_ = x+1, y-1","absoluteWay(x, y, direction) assert image[new_x, new_y] != 0, 'ERROR: 2nd point is not","France (BnF) import cv2, thinning, os import numpy as np import pandas as","n'a pas encore été calculée. Par conséquent, \\ il n'est pas possible de","the road network out_path: the path, where the output bitmap image should be","terminal.\\n\") print('Pour installer Homebrew:\\n', ' /usr/bin/ruby -e \"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\"') print('Pour installer ImageMagick:\\n',","new_y if nodes_grid[x, y]: end = True else: end = True return way,","elif direction == 3: wrong_paths = [2, 8] elif direction == 5: wrong_paths","coords = [] for point in segment: coords.append((point[1], point[0])) draw.line(coords, fill = 'black',","w.field('DeletionFlag', 'C', 1, 0) w.field('gid', 'N', 11, 0) w.field('streetname', 'C', 41, 0) w.field('note',","in diagonal.keys(): if d in address: if not(diagonal[d][0] in address) and not(diagonal[d][1] in","of nodes image: skeletonized image of the road network min_length: min segment length","in address): if direction != None: if not((8-direction) in diagonal[d]): new_address.append(d) else: new_address.append(d)","of segments, containing all the pixels on the way between each couple of","5, 7], {0: [1, 3], 2: [1, 5], 6: [3, 7], 8: [5,","the nodes in the road network skeleton image. Input(s): image: skeletonized image Output(s):","= np.asarray(nodes) return nodes, degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy() new_addresses,","{} n'a pas encore été calculée. Par conséquent, \\ il n'est pas possible","== 0: x_, y_ = x-1, y-1 elif way == 1: x_, y_","image and their degree ''' img = image.copy() done, ways = [], []","between 0 and 8, and != 4. x, y and way should be","path: path where the skeletonized image should be saved largest_component: if True, only","!= 4] addresses.append(direction_set) nodes = np.asarray(nodes) return nodes, degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame):","x, y = new_x, new_y wrong_paths = noTurnBack(direction) wrong_paths_active = True if nodes_grid[x,","all the road segments in the network. Keep the ones that are longer","''' img = image.copy() done, ways = [], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid","possible de calculer la géolocalisation de son réseau filaire\".format(image_name)) simple_segments_JSON = simple_segments else:","type int.') return x_, y_ def noTurnBack(direction: int): wrong_paths = [] if direction","\\n', ' brew install potrace\\n') if exportPNG: png_path = export_file_path else: png_path =","new_y)) x, y = new_x, new_y wrong_paths = noTurnBack(direction) wrong_paths_active = True if","np.ndarray, min_length: int = 30, return_simple_ways: bool = True): ''' Find all the","address: if not(diagonal[d][0] in address) and not(diagonal[d][1] in address): if direction != None:","conséquent, \\ il n'est pas possible de calculer la géolocalisation de son réseau","os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG: print(\"\\nAvertissement: Si vous n'avez jamais utilisé cette commande,","are non-zero (rows, cols) = np.nonzero(img) nodes, degree, addresses = [], [], []","2, add this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set =","the network. Keep the ones that are longer than a given length or","!= 1: end = True break direction = direction_set[0] new_x, new_y = absoluteWay(x,","+ png_path + pnm_path) os.system('potrace ' + pnm_path + ' -s -o '","elif direction == 7: wrong_paths = [0, 2] elif direction == 8: wrong_paths","import numpy as np import pandas as pd import shapefile as shp from","single 1D array and check for non-zero locations pix_neighbourhood = img[row_neigh, col_neigh].ravel() !=","8-connected neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y, y+1])) # Cast","' + png_path + pnm_path) os.system('potrace ' + pnm_path + ' -s -o","df_nodes = pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree': degree, 'address': addresses }) df_nodes =","of the nodes (2=endpoint, 4=crossroads of 3 streets, 5=crossroads of 4 streets, etc.)","vectorized, min_length = 15, return_simple_ways = True) else: full_segments, nodes_grid = findSegments(df_nodes, vectorized,","True): ''' Find all the road segments in the network. Keep the ones","= [wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set != 4] last_ds.append(direction_set) direction_set = direction_set[direction_set !=","y-1 elif way == 7: x_, y_ = x+1, y elif way ==","x < image.shape[0]-1 and y < image.shape[1]-1: # Extract an 8-connected neighbourhood (row_neigh,","from skimage.measure import approximate_polygon from PIL import Image, ImageDraw from utils.utils import *","try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() != 0 except: print(x, y, image.shape, ) raise","'degree': degree, 'address': addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes =","' /usr/bin/ruby -e \"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\"') print('Pour installer ImageMagick:\\n', ' brew install imagemagick')","-e \"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\"') print('Pour installer ImageMagick:\\n', ' brew install imagemagick') print('Pour installer","actuellement.') else: simple_segments_JSON = simple_segments if exportJSON: with open(export_file_path.replace('png', 'json'), 'w') as outfile:","the Douglas-Peucker simple itinerary of each segment and return it. Input(s): df_nodes: list","assert (exportPNG or exportJSON or exportSVG or exportSHP) # Convert to B&W road_network","that are non-zero (rows, cols) = np.nonzero(img) nodes, degree, addresses = [], [],","or exportSVG or exportSHP) # Convert to B&W road_network = image.copy() road_network[road_network <","invalid: (' + str(x) + ',' + str(y) + ',' + str(way) +","findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length: int = 30, return_simple_ways: bool = True): '''","in ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid else:","int): wrong_paths = [] if direction == 0: wrong_paths = [5, 7] elif","on the way between each couple of nodes nodes_grid: image containing all the","exportJSON: with open(export_file_path.replace('png', 'json'), 'w') as outfile: json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''),","7: x_, y_ = x+1, y elif way == 8: x_, y_ =","png_path = os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png', 'svg') os.system('convert","+ pnm_path) os.system('potrace ' + pnm_path + ' -s -o ' + svg_path)","Output(s): (Optional)(simple_ways: the Douglas-Peucker simple itinerary of each segmenty) ways: list of segments,","Follow the path from one given start node and direction until the next","nodes coordinates (x, y) degree: degrees of the nodes (2=endpoint, 4=crossroads of 3","wrong_paths = [5, 7] elif direction == 1: wrong_paths = [6, 8] elif","toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network: np.ndarray, path: str = \"workshop/vectorized.png\", largest_component: bool","= False, exportJSON: bool = False, exportSVG: bool = False, exportSHP: bool =","= direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active: for","!= None: if not((8-direction) in diagonal[d]): new_address.append(d) else: new_address.append(d) return new_address def explorePath(start_x:","except: print(\"La géolocalisation de l'image {} n'a pas encore été calculée. Par conséquent,","the way between each couple of nodes nodes_grid: image containing all the nodes","segment is terminal return_simple_ways: if True, compute the Douglas-Peucker simple itinerary of each","exportPNG: toPNG(full_segments, vectorized, export_file_path) elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if geoloc: if","for point in segment: coords.append((point[1], point[0])) draw.line(coords, fill = 'black', width=0) bitmap.save(out_path) def","return way, direction, nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length: int =","and return it. Input(s): df_nodes: list of nodes image: skeletonized image of the","Maps # Coded by <NAME> https://github.com/RPetitpierre # For Bibliothèque nationale de France (BnF)","= [0, 6] elif direction == 6: wrong_paths = [1, 5] elif direction","pas possible de calculer la géolocalisation de son réseau filaire\".format(image_name)) simple_segments_JSON = simple_segments","5: x_, y_ = x, y+1 elif way == 6: x_, y_ =","simple_segments else: print('La géolocalisation du réseau filaire ne fonctionne que pour le format","image to a wired model. Input(s): road_network: black and white image of the","our list of coordinates n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours == 2) or (n_neighbours","8-start_dir while not(end): if x > 0 and y > 0 and x","Si vous n'avez jamais utilisé cette commande, \\ installez d'abord Homebrew, ImageMagick et","= [], [] for ind, address in df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address)","bool = True): ''' Find all the road segments in the network. Keep","def noTurnBack(direction: int): wrong_paths = [] if direction == 0: wrong_paths = [5,","point is not white' way.append((new_x, new_y)) x, y = new_x, new_y wrong_paths =","[5, 7]} new_address = [] for r in right: if r in address:","2, 3, -, 5, 6, 7, 8}) image: skeletonized image of the road","= simple_segments else: print('La géolocalisation du réseau filaire ne fonctionne que pour le","image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist()) except: print(\"La géolocalisation de l'image {} n'a","with regard to the node ''' img = image.copy() # Find row and","= np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist()) except: print(\"La géolocalisation de l'image","ImageMagick et Potrace via le terminal.\\n\") print('Pour installer Homebrew:\\n', ' /usr/bin/ruby -e \"$(curl","return x_, y_ def noTurnBack(direction: int): wrong_paths = [] if direction == 0:","segmenty) ways: list of segments, containing all the pixels on the way between","image.copy() road_network[road_network < 254] = 0 road_network[road_network < 255/2] = 0 road_network[road_network >=","import approximate_polygon from PIL import Image, ImageDraw from utils.utils import * from utils.match","np.ndarray, path: str = \"workshop/vectorized.png\", largest_component: bool = False): ''' Thinning/skeletonization of the","wrong_paths_active = True if nodes_grid[x, y]: end = True direction = 8-start_dir while","path, where the output bitmap image should be save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8')","direction == 8: wrong_paths = [1, 3] return wrong_paths direction = start_dir x,","[] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for ind, row in df_nodes[['x', 'y',","degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood == True)[0] direction_set = direction_set[direction_set != 4] addresses.append(direction_set) nodes","new_degree return df def avoidDiagonalEdges(address: list, direction: int = None): right, diagonal =","node ''' img = image.copy() # Find row and column locations that are","6: [3, 7], 8: [5, 7]} new_address = [] for r in right:","containing all the nodes found in the image and their degree ''' img","r > 0 and c > 0 and r < image.shape[0]-1 and c","row_neigh.astype('int') # Convert into a single 1D array and check for non-zero locations","(n_neighbours >= 4): nodes.append((r, c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood == True)[0] direction_set =","start_dir: starting direction ({0, 1, 2, 3, -, 5, 6, 7, 8}) image:","direction_set[0] new_x, new_y = absoluteWay(x, y, direction) way.append((new_x, new_y)) x, y = new_x,","x, y = start_x, start_y assert image[x, y] != 0, 'ERROR: start point","start_y: start node y-coordinate start_dir: starting direction ({0, 1, 2, 3, -, 5,","True, only the largest road network component will be kept Output(s): vectorized: skeletonized","thinning, os import numpy as np import pandas as pd import shapefile as","== 1: wrong_paths = [6, 8] elif direction == 2: wrong_paths = [3,","[], [] for ind, address in df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) +","+ str(node['y']) + '_' + str(direct) if not(code in done): way, last_direct, degree","= os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png', 'svg') os.system('convert '","nodes_grid def toPNG(segments: list, vectorized: np.ndarray, out_path: str): ''' Save a given set","nodes_grid: np.ndarray): ''' Follow the path from one given start node and direction","way: list of pixel coordinates on the way direction: last direction to reach","wrong_paths = [1, 5] elif direction == 7: wrong_paths = [0, 2] elif","the skeletonized image Output(s): way: list of pixel coordinates on the way direction:","!= 0, 'ERROR: 2nd point is not white' way.append((new_x, new_y)) x, y =","x+1, y+1 else: raise AttributeError('Parameters invalid: (' + str(x) + ',' + str(y)","one given start node and direction until the next node, and stores the","list, direction: int = None): right, diagonal = [1, 3, 5, 7], {0:","road network component will be kept Output(s): vectorized: skeletonized image ''' assert len(road_network.shape)","(np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for segment in segments:","utilisé cette commande, \\ installez d'abord Homebrew, ImageMagick et Potrace via le terminal.\\n\")","return new_address def explorePath(start_x: int, start_y: int, start_dir: int, image: np.ndarray, nodes_grid: np.ndarray):","point[0])) draw.line(coords, fill = 'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path): w = shp.Writer(out_path)","np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid else: return ways, nodes_grid def","list of coordinates n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours == 2) or (n_neighbours >=","or exportSHP): simple_segments, full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways =","for d in diagonal.keys(): if d in address: if not(diagonal[d][0] in address) and","and way should be of type int.') return x_, y_ def noTurnBack(direction: int):","not((8-direction) in diagonal[d]): new_address.append(d) else: new_address.append(d) return new_address def explorePath(start_x: int, start_y: int,","labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32')","elif way == 5: x_, y_ = x, y+1 elif way == 6:","(row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y, y+1])) # Cast to int","= False, exportSHP: bool = False, geoloc: bool = False): assert (exportPNG or","or exportJSON or exportSVG or exportSHP) # Convert to B&W road_network = image.copy()","df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid = nodes_grid.astype('int') for ind, node","direct in node['address']: code = str(node['x']) + '_' + str(node['y']) + '_' +","save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap)","r+1])) # Cast to int to index into image col_neigh = col_neigh.astype('int') row_neigh","3: x_, y_ = x, y-1 elif way == 5: x_, y_ =","2: wrong_paths = [3, 7] elif direction == 3: wrong_paths = [2, 8]","given set of segments as a bitmap image from the road network. Input(s):","degree: degrees of the nodes (2=endpoint, 4=crossroads of 3 streets, 5=crossroads of 4","itinerary of each segment and return it. Input(s): df_nodes: list of nodes image:","couple of nodes vectorized: skeletonized image of the road network out_path: the path,","df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] != 3] if (exportJSON or exportSHP):","image col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int') # Convert into a single 1D array","wrong_paths = [] if direction == 0: wrong_paths = [5, 7] elif direction","nodes_grid[x, y]: end = True direction = 8-start_dir while not(end): if x >","addresses.append(direction_set) nodes = np.asarray(nodes) return nodes, degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df =","node, and stores the pixels on the way. Input(s): start_x: start node x-coordinate","return wrong_paths direction = start_dir x, y = start_x, start_y assert image[x, y]","os import numpy as np import pandas as pd import shapefile as shp","of coordinates n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours == 2) or (n_neighbours >= 4):","in diagonal[d]): new_address.append(d) else: new_address.append(d) return new_address def explorePath(start_x: int, start_y: int, start_dir:","+ ',' + str(way) + '), way \\ should be comprised between 0","than a given length or non-terminal. Optionally, compute the Douglas-Peucker simple itinerary of","between each couple of nodes nodes_grid: image containing all the nodes found in","end = True break direction = direction_set[0] new_x, new_y = absoluteWay(x, y, direction)","def toShapefile(simple_ways, out_path): w = shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0) w.field('gid', 'N', 11,","nodes: array of nodes coordinates (x, y) degree: degrees of the nodes (2=endpoint,","node x-coordinate start_y: start node y-coordinate start_dir: starting direction ({0, 1, 2, 3,","'thin.pnm') svg_path = export_file_path.replace('png', 'svg') os.system('convert ' + png_path + pnm_path) os.system('potrace '","'svg') os.system('convert ' + png_path + pnm_path) os.system('potrace ' + pnm_path + '","and direction until the next node, and stores the pixels on the way.","return_simple_ways: simple_ways = [] for way in ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way),","= False, exportSVG: bool = False, exportSHP: bool = False, geoloc: bool =","def thinImage(image: np.ndarray, image_name: str, export_file_path: str, exportPNG: bool = False, exportJSON: bool","degree, addresses = [], [], [] for (r,c) in zip(rows, cols): if r","' brew install imagemagick') print('Pour installer Potrace: \\n', ' brew install potrace\\n') if","row['y']] = row['degree'] nodes_grid = nodes_grid.astype('int') for ind, node in df_nodes.iterrows(): for direct","not(diagonal[d][0] in address) and not(diagonal[d][1] in address): if direction != None: if not((8-direction)","len(road_network.shape) == 2, 'ERROR: road_network must be grayscale image' img = cv2.resize(road_network, (road_network.shape[1]//2,","x_, y_ = x+1, y-1 elif way == 7: x_, y_ = x+1,","w.field('note', 'C', 32, 0) for i in range(len(simple_ways)): w.line([simple_ways[i]]) w.record('01', i, '', '')","bitmap image should be save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap =","exportJSON or exportSVG or exportSHP) # Convert to B&W road_network = image.copy() road_network[road_network","each segment and return it Output(s): (Optional)(simple_ways: the Douglas-Peucker simple itinerary of each","in address) and not(diagonal[d][1] in address): if direction != None: if not((8-direction) in","(rows, cols) = np.nonzero(img) nodes, degree, addresses = [], [], [] for (r,c)","Bibliothèque nationale de France (BnF) import cv2, thinning, os import numpy as np","row_neigh = row_neigh.astype('int') # Convert into a single 1D array and check for","int.') return x_, y_ def noTurnBack(direction: int): wrong_paths = [] if direction ==","def findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length: int = 30, return_simple_ways: bool = True):","np.ndarray, out_path: str): ''' Save a given set of segments as a bitmap","node['address']: code = str(node['x']) + '_' + str(node['y']) + '_' + str(direct) if","non-terminal. Optionally, compute the Douglas-Peucker simple itinerary of each segment and return it.","y) degree: degrees of the nodes (2=endpoint, 4=crossroads of 3 streets, 5=crossroads of","x_, y_ = x, y-1 elif way == 5: x_, y_ = x,","image.shape, ) raise AssertionError() # If the number of non-zero locations equals 2,","'json'), 'w') as outfile: json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png',","3], 2: [1, 5], 6: [3, 7], 8: [5, 7]} new_address = []","shapefile as shp from skimage.measure import approximate_polygon from PIL import Image, ImageDraw from","wrong_paths = [0, 2] elif direction == 8: wrong_paths = [1, 3] return","wrong_paths = [6, 8] elif direction == 2: wrong_paths = [3, 7] elif","PIL import Image, ImageDraw from utils.utils import * from utils.match import toLatLon Image.MAX_IMAGE_PIXELS","Output(s): vectorized: skeletonized image ''' assert len(road_network.shape) == 2, 'ERROR: road_network must be","255 vectorized = skeletonize(road_network, largest_component = True) nodes, degree, addresses = findNodes(vectorized) if","draw.line(coords, fill = 'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path): w = shp.Writer(out_path) w.field('DeletionFlag',","new_x, new_y wrong_paths = noTurnBack(direction) wrong_paths_active = True if nodes_grid[x, y]: end =","to B&W road_network = image.copy() road_network[road_network < 254] = 0 road_network[road_network < 255/2]","check for non-zero locations pix_neighbourhood = img[row_neigh, col_neigh].ravel() != 0 # If the","nodes.append((r, c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood == True)[0] direction_set = direction_set[direction_set != 4]","skeletonized image of the road network nodes_grid: grid of the nodes of the","way between each couple of nodes nodes_grid: image containing all the nodes found","wired model. Input(s): road_network: black and white image of the road network (streets","os.path.join('workshop', 'thin.png')) if geoloc: if exportJSON: project_name = getProjectName() try: with open(os.path.join('save', project_name,","0: x_, y_ = x-1, y-1 elif way == 1: x_, y_ =","= np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid else: return ways, nodes_grid","tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid else: return ways, nodes_grid def thinImage(image: np.ndarray, image_name:","end = True return way, direction, nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame, image: np.ndarray,","M = np.asarray(data['M']) simple_segments_JSON = [] for segment in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0],","= x-1, y elif way == 2: x_, y_ = x-1, y+1 elif","if wrong_paths_active: for wrong_path in wrong_paths: direction_set = direction_set[direction_set != wrong_path] wrong_paths_active =","100] = 255 vectorized[vectorized <= 100] = 0 if largest_component: try: _, labels,","non-zero locations try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() != 0 except: print(x, y, image.shape,","start_y assert image[x, y] != 0, 'ERROR: start point is not white' end","print('Pour installer ImageMagick:\\n', ' brew install imagemagick') print('Pour installer Potrace: \\n', ' brew","getProjectName() try: with open(os.path.join('save', project_name, 'match' , 'primary', image_name + '.json')) as data:","0 and c > 0 and r < image.shape[0]-1 and c < image.shape[1]-1:","last_ds.append(direction_set) direction_set = direction_set[direction_set != 4] last_ds.append(direction_set) direction_set = direction_set[direction_set != (8-direction)] last_ds.append(direction_set)","-s -o ' + svg_path) return simple_segments, full_segments, nodes_grid def toPNG(segments: list, vectorized:","= [1, 3, 5, 7], {0: [1, 3], 2: [1, 5], 6: [3,","stats = stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels == main_component).astype('uint8')*255 except: 'Warning:","simple itinerary of each segment and return it Output(s): (Optional)(simple_ways: the Douglas-Peucker simple","exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG: print(\"\\nAvertissement: Si vous n'avez jamais utilisé","print(\"La géolocalisation de l'image {} n'a pas encore été calculée. Par conséquent, \\","param. Skipping.' cv2.imwrite(path, vectorized) return vectorized def findNodes(image: np.ndarray): ''' Find the nodes","+ str(x) + ',' + str(y) + ',' + str(way) + '), way","toPNG(segments: list, vectorized: np.ndarray, out_path: str): ''' Save a given set of segments","direction = direction_set[0] new_x, new_y = absoluteWay(x, y, direction) way.append((new_x, new_y)) x, y","elif way == 6: x_, y_ = x+1, y-1 elif way == 7:","Convert into a single 1D array and check for non-zero locations pix_neighbourhood =","''' Thinning/skeletonization of the road network image to a wired model. Input(s): road_network:","check for non-zero locations try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() != 0 except: print(x,","os.system('potrace ' + pnm_path + ' -s -o ' + svg_path) return simple_segments,","(labels == main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed to apply largest_component = True param.","new_y] != 0, 'ERROR: 2nd point is not white' way.append((new_x, new_y)) x, y","out_path: the path, where the output bitmap image should be save ''' canvas","= x, y+1 elif way == 6: x_, y_ = x+1, y-1 elif","the node ''' img = image.copy() # Find row and column locations that","skeletonized image should be saved largest_component: if True, only the largest road network","8, and != 4. x, y and way should be of type int.')","image of the road network min_length: min segment length if the segment is","of nodes vectorized: skeletonized image of the road network out_path: the path, where","array of nodes coordinates (x, y) degree: degrees of the nodes (2=endpoint, 4=crossroads","couple of nodes nodes_grid: image containing all the nodes found in the image","= skeletonize(road_network, largest_component = True) nodes, degree, addresses = findNodes(vectorized) if len(degree) <","direction: int = None): right, diagonal = [1, 3, 5, 7], {0: [1,","white' way.append((new_x, new_y)) x, y = new_x, new_y wrong_paths = noTurnBack(direction) wrong_paths_active =","False): assert (exportPNG or exportJSON or exportSVG or exportSHP) # Convert to B&W","geoloc: if exportJSON: project_name = getProjectName() try: with open(os.path.join('save', project_name, 'match' , 'primary',","image.copy() done, ways = [], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for","for direct in node['address']: code = str(node['x']) + '_' + str(node['y']) + '_'","== True)[0] direction_set = direction_set[direction_set != 4] addresses.append(direction_set) nodes = np.asarray(nodes) return nodes,","start_x, start_y assert image[x, y] != 0, 'ERROR: start point is not white'","c < image.shape[1]-1: # Extract an 8-connected neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c,","vectorized) return vectorized def findNodes(image: np.ndarray): ''' Find the nodes in the road","l'image {} n'a pas encore été calculée. Par conséquent, \\ il n'est pas","vectorized[vectorized > 100] = 255 vectorized[vectorized <= 100] = 0 if largest_component: try:","degree ''' img = image.copy() done, ways = [], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True)","image_name + '.json')) as data: data = json.load(data) M = np.asarray(data['M']) simple_segments_JSON =","of nodes coordinates (x, y) degree: degrees of the nodes (2=endpoint, 4=crossroads of","= [] for segment in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) +","vectorized = skeletonize(road_network, largest_component = True) nodes, degree, addresses = findNodes(vectorized) if len(degree)","== 2: wrong_paths = [3, 7] elif direction == 3: wrong_paths = [2,","stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized","# Cast to int to index into image col_neigh = col_neigh.astype('int') row_neigh =","= np.where(pix_neighbourhood == True)[0] direction_set = direction_set[direction_set != 4] addresses.append(direction_set) nodes = np.asarray(nodes)","nodes_grid.astype('int') for ind, node in df_nodes.iterrows(): for direct in node['address']: code = str(node['x'])","(degree == 2))): done.append(str(way[-1][0]) + '_' + str(way[-1][1]) + '_' + str(8-last_direct)) ways.append(way)","= False if len(direction_set) != 1: end = True break direction = direction_set[0]","and c < image.shape[1]-1: # Extract an 8-connected neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1,","start_y: int, start_dir: int, image: np.ndarray, nodes_grid: np.ndarray): ''' Follow the path from","toPNG(full_segments, vectorized, export_file_path) elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if geoloc: if exportJSON:","c+1]), np.array([r-1, r, r+1])) # Cast to int to index into image col_neigh","nodes, degree, addresses = [], [], [] for (r,c) in zip(rows, cols): if","open(export_file_path.replace('png', 'json'), 'w') as outfile: json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments,","et Potrace via le terminal.\\n\") print('Pour installer Homebrew:\\n', ' /usr/bin/ruby -e \"$(curl -fsSL","image ''' assert len(road_network.shape) == 2, 'ERROR: road_network must be grayscale image' img","= str(node['x']) + '_' + str(node['y']) + '_' + str(direct) if not(code in","all the nodes found in the image and their degree ''' img =","+ pnm_path + ' -s -o ' + svg_path) return simple_segments, full_segments, nodes_grid","4 streets, etc.) addresses: directions of the crossing roads, with regard to the","segment in segments: coords = [] for point in segment: coords.append((point[1], point[0])) draw.line(coords,","the road network. Input(s): segments: list of segments, containing all the pixels on","3, 5, 7], {0: [1, 3], 2: [1, 5], 6: [3, 7], 8:","vectorized[vectorized <= 100] = 0 if largest_component: try: _, labels, stats, _ =","df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for ind, row in df_nodes[['x', 'y', 'degree']].iterrows():","locations try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() != 0 except: print(x, y, image.shape, )","[0, 6] elif direction == 6: wrong_paths = [1, 5] elif direction ==","= False): ''' Thinning/skeletonization of the road network image to a wired model.","for ind, node in df_nodes.iterrows(): for direct in node['address']: code = str(node['x']) +","for non-zero locations try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() != 0 except: print(x, y,","as outfile: json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name))","diagonal.keys(): if d in address: if not(diagonal[d][0] in address) and not(diagonal[d][1] in address):","4] addresses.append(direction_set) nodes = np.asarray(nodes) return nodes, degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df","ones that are longer than a given length or non-terminal. Optionally, compute the","' brew install potrace\\n') if exportPNG: png_path = export_file_path else: png_path = os.path.join('workshop',","If the number of non-zero locations equals 2, add this to our list","main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed to apply largest_component = True param. Skipping.' cv2.imwrite(path,","2, 'ERROR: road_network must be grayscale image' img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized","crossing roads, with regard to the node ''' img = image.copy() # Find","' + pnm_path + ' -s -o ' + svg_path) return simple_segments, full_segments,","(n_neighbours == 2) or (n_neighbours >= 4): nodes.append((r, c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood","image[x, y] != 0, 'ERROR: start point is not white' end = False","direction: last direction to reach the 2nd node nodes_grid[x, y]: degree of the","w.field('gid', 'N', 11, 0) w.field('streetname', 'C', 41, 0) w.field('note', 'C', 32, 0) for","0 and x < image.shape[0]-1 and y < image.shape[1]-1: # Extract an 8-connected","road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized > 100] = 255 vectorized[vectorized <= 100] =","road_network[road_network >= 255/2] = 255 vectorized = skeletonize(road_network, largest_component = True) nodes, degree,","= 'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path): w = shp.Writer(out_path) w.field('DeletionFlag', 'C', 1,","été calculée. Par conséquent, \\ il n'est pas possible de calculer la géolocalisation","road_network must be grayscale image' img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img)","2))): done.append(str(way[-1][0]) + '_' + str(way[-1][1]) + '_' + str(8-last_direct)) ways.append(way) if return_simple_ways:","new_address = [] for r in right: if r in address: new_address.append(r) for","and check for non-zero locations pix_neighbourhood = img[row_neigh, col_neigh].ravel() != 0 # If","direction != None: if not((8-direction) in diagonal[d]): new_address.append(d) else: new_address.append(d) return new_address def","= direction_set[direction_set != 4] last_ds.append(direction_set) direction_set = direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set =","right, diagonal = [1, 3, 5, 7], {0: [1, 3], 2: [1, 5],","calculer la géolocalisation de son réseau filaire\".format(image_name)) simple_segments_JSON = simple_segments else: print('La géolocalisation",">= 4): nodes.append((r, c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood == True)[0] direction_set = direction_set[direction_set","for way in ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways,","* from utils.match import toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network: np.ndarray, path: str","str(x) + ',' + str(y) + ',' + str(way) + '), way \\","that are longer than a given length or non-terminal. Optionally, compute the Douglas-Peucker","y]: end = True else: end = True return way, direction, nodes_grid[x, y]","avoidDiagonalEdges(address: list, direction: int = None): right, diagonal = [1, 3, 5, 7],","\"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\"') print('Pour installer ImageMagick:\\n', ' brew install imagemagick') print('Pour installer Potrace:","elif direction == 6: wrong_paths = [1, 5] elif direction == 7: wrong_paths","True)[0] last_ds = [wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set != 4] last_ds.append(direction_set) direction_set =","pixels on the way. Input(s): start_x: start node x-coordinate start_y: start node y-coordinate","nodes found in the image and their degree ''' img = image.copy() done,","de France (BnF) import cv2, thinning, os import numpy as np import pandas","degree, 'address': addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree']","the largest road network component will be kept Output(s): vectorized: skeletonized image '''","simple_segments, full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = True) else:","!= 4] last_ds.append(direction_set) direction_set = direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction))","skimage.measure import approximate_polygon from PIL import Image, ImageDraw from utils.utils import * from","pixel coordinates on the way direction: last direction to reach the 2nd node","0 # If the number of non-zero locations equals 2, add this to","Cast to int to index into image col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int') #","containing all the pixels on the way between each couple of nodes nodes_grid:","= np.sum(pix_neighbourhood) if (n_neighbours == 2) or (n_neighbours >= 4): nodes.append((r, c)) degree.append(n_neighbours)","road_network: black and white image of the road network (streets in white) path:","direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active: for wrong_path in wrong_paths: direction_set =","df def avoidDiagonalEdges(address: list, direction: int = None): right, diagonal = [1, 3,","the path from one given start node and direction until the next node,","3 streets, 5=crossroads of 4 streets, etc.) addresses: directions of the crossing roads,","or (degree == 2))): done.append(str(way[-1][0]) + '_' + str(way[-1][1]) + '_' + str(8-last_direct))","= absoluteWay(x, y, direction) assert image[new_x, new_y] != 0, 'ERROR: 2nd point is","0 road_network[road_network >= 255/2] = 255 vectorized = skeletonize(road_network, largest_component = True) nodes,","pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() != 0 except: print(x, y, image.shape, ) raise AssertionError()","col_neigh].ravel() != 0 # If the number of non-zero locations equals 2, add","be grayscale image' img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized >","= noTurnBack(direction) wrong_paths_active = True if nodes_grid[x, y]: end = True direction =","if True, only the largest road network component will be kept Output(s): vectorized:","== 6: x_, y_ = x+1, y-1 elif way == 7: x_, y_","exportSVG: print(\"\\nAvertissement: Si vous n'avez jamais utilisé cette commande, \\ installez d'abord Homebrew,","+ '_' + str(direct) if not(code in done): way, last_direct, degree = explorePath(start_x=node['x'],","elif direction == 5: wrong_paths = [0, 6] elif direction == 6: wrong_paths","[1, 3] return wrong_paths direction = start_dir x, y = start_x, start_y assert","direction_set[direction_set != 4] last_ds.append(direction_set) direction_set = direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set,","y] def findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length: int = 30, return_simple_ways: bool =","of 4 streets, etc.) addresses: directions of the crossing roads, with regard to","le format JSON actuellement.') else: simple_segments_JSON = simple_segments if exportJSON: with open(export_file_path.replace('png', 'json'),","direction) assert image[new_x, new_y] != 0, 'ERROR: 2nd point is not white' way.append((new_x,","'address': addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] !=","41, 0) w.field('note', 'C', 32, 0) for i in range(len(simple_ways)): w.line([simple_ways[i]]) w.record('01', i,","elif direction == 2: wrong_paths = [3, 7] elif direction == 3: wrong_paths","to index into image col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int') # Convert into a","road segments in the network. Keep the ones that are longer than a","segment in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist()) except:","on the way direction: last direction to reach the 2nd node nodes_grid[x, y]:","+ '.json')) as data: data = json.load(data) M = np.asarray(data['M']) simple_segments_JSON = []","full_segments, nodes_grid def toPNG(segments: list, vectorized: np.ndarray, out_path: str): ''' Save a given","direction == 3: wrong_paths = [2, 8] elif direction == 5: wrong_paths =","row and column locations that are non-zero (rows, cols) = np.nonzero(img) nodes, degree,","should be save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png') draw","<filename>utils/thin.py # 2020, BackThen Maps # Coded by <NAME> https://github.com/RPetitpierre # For Bibliothèque","2020, BackThen Maps # Coded by <NAME> https://github.com/RPetitpierre # For Bibliothèque nationale de","pandas as pd import shapefile as shp from skimage.measure import approximate_polygon from PIL","where the output bitmap image should be save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png',","nodes nodes_grid: image containing all the nodes found in the image and their","y+1 elif way == 6: x_, y_ = x+1, y-1 elif way ==","end = True direction = 8-start_dir while not(end): if x > 0 and","nodes_grid: image containing all the nodes found in the image and their degree","de l'image {} n'a pas encore été calculée. Par conséquent, \\ il n'est","0 and r < image.shape[0]-1 and c < image.shape[1]-1: # Extract an 8-connected","the ones that are longer than a given length or non-terminal. Optionally, compute","if exportPNG: png_path = export_file_path else: png_path = os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop',","largest road network component will be kept Output(s): vectorized: skeletonized image ''' assert","'match' , 'primary', image_name + '.json')) as data: data = json.load(data) M =","wrong_paths = [1, 3] return wrong_paths direction = start_dir x, y = start_x,","5=crossroads of 4 streets, etc.) addresses: directions of the crossing roads, with regard","image.shape[0]-1 and c < image.shape[1]-1: # Extract an 8-connected neighbourhood (col_neigh, row_neigh) =","B&W road_network = image.copy() road_network[road_network < 254] = 0 road_network[road_network < 255/2] =","[], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for ind, row in df_nodes[['x',","last_ds.append(direction_set) direction_set = direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if","start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way) <= min_length) and ((node['degree'] == 2) or","shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0) w.field('gid', 'N', 11, 0) w.field('streetname', 'C', 41, 0)","streets, 5=crossroads of 4 streets, etc.) addresses: directions of the crossing roads, with","where the skeletonized image should be saved largest_component: if True, only the largest","None: if not((8-direction) in diagonal[d]): new_address.append(d) else: new_address.append(d) return new_address def explorePath(start_x: int,","= 8-start_dir while not(end): if x > 0 and y > 0 and","[], np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree': degree, 'address': addresses","is terminal return_simple_ways: if True, compute the Douglas-Peucker simple itinerary of each segment","x, y+1 elif way == 6: x_, y_ = x+1, y-1 elif way","= 15, return_simple_ways = False) simple_segments = [] if exportPNG: toPNG(full_segments, vectorized, export_file_path)","and their degree ''' img = image.copy() done, ways = [], [] df_nodes","+ '_' + str(node['y']) + '_' + str(direct) if not(code in done): way,","str, export_file_path: str, exportPNG: bool = False, exportJSON: bool = False, exportSVG: bool","simple_segments, full_segments, nodes_grid def toPNG(segments: list, vectorized: np.ndarray, out_path: str): ''' Save a","the road network skeleton image. Input(s): image: skeletonized image Output(s): nodes: array of","== 7: x_, y_ = x+1, y elif way == 8: x_, y_","of coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood == True)[0] last_ds = [wrong_paths]","' + svg_path) return simple_segments, full_segments, nodes_grid def toPNG(segments: list, vectorized: np.ndarray, out_path:","addresses = findNodes(vectorized) if len(degree) < 0: return [], [], np.zeros((image.shape[1], image.shape[0])) df_nodes","x, y-1 elif way == 5: x_, y_ = x, y+1 elif way","direction) way.append((new_x, new_y)) x, y = new_x, new_y if nodes_grid[x, y]: end =","= new_addresses df['degree'] = new_degree return df def avoidDiagonalEdges(address: list, direction: int =","out_path): w = shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0) w.field('gid', 'N', 11, 0) w.field('streetname',","new_x, new_y = absoluteWay(x, y, direction) assert image[new_x, new_y] != 0, 'ERROR: 2nd","[] for point in segment: coords.append((point[1], point[0])) draw.line(coords, fill = 'black', width=0) bitmap.save(out_path)","(Optional)(simple_ways: the Douglas-Peucker simple itinerary of each segmenty) ways: list of segments, containing","json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG:","y+1 elif way == 3: x_, y_ = x, y-1 elif way ==","Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network: np.ndarray, path: str = \"workshop/vectorized.png\", largest_component: bool =","direction == 7: wrong_paths = [0, 2] elif direction == 8: wrong_paths =","right: if r in address: new_address.append(r) for d in diagonal.keys(): if d in","x+1, y elif way == 8: x_, y_ = x+1, y+1 else: raise","node nodes_grid[x, y]: degree of the arrival node ''' def absoluteWay(x: int, y:","is not white' way.append((new_x, new_y)) x, y = new_x, new_y wrong_paths = noTurnBack(direction)","direction == 5: wrong_paths = [0, 6] elif direction == 6: wrong_paths =","into a single 1D array and check for non-zero locations try: pix_neighbourhood =","= getProjectName() try: with open(os.path.join('save', project_name, 'match' , 'primary', image_name + '.json')) as","y-coordinate start_dir: starting direction ({0, 1, 2, 3, -, 5, 6, 7, 8})","= json.load(data) M = np.asarray(data['M']) simple_segments_JSON = [] for segment in simple_segments: s","+ 1) df['address'] = new_addresses df['degree'] = new_degree return df def avoidDiagonalEdges(address: list,","[0, 2] elif direction == 8: wrong_paths = [1, 3] return wrong_paths direction","= 30, return_simple_ways: bool = True): ''' Find all the road segments in","by <NAME> https://github.com/RPetitpierre # For Bibliothèque nationale de France (BnF) import cv2, thinning,","compute the Douglas-Peucker simple itinerary of each segment and return it Output(s): (Optional)(simple_ways:","the way direction: last direction to reach the 2nd node nodes_grid[x, y]: degree","given length or non-terminal. Optionally, compute the Douglas-Peucker simple itinerary of each segment","raise AttributeError('Parameters invalid: (' + str(x) + ',' + str(y) + ',' +","the path, where the output bitmap image should be save ''' canvas =","2: x_, y_ = x-1, y+1 elif way == 3: x_, y_ =","True return way, direction, nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length: int","if exportSVG: print(\"\\nAvertissement: Si vous n'avez jamais utilisé cette commande, \\ installez d'abord","image containing all the nodes found in the image and their degree '''","if (exportJSON or exportSHP): simple_segments, full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15,","be saved largest_component: if True, only the largest road network component will be","== main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed to apply largest_component = True param. Skipping.'","',' + str(y) + ',' + str(way) + '), way \\ should be","return ways, nodes_grid def thinImage(image: np.ndarray, image_name: str, export_file_path: str, exportPNG: bool =","be kept Output(s): vectorized: skeletonized image ''' assert len(road_network.shape) == 2, 'ERROR: road_network","direction_set[direction_set != 4] addresses.append(direction_set) nodes = np.asarray(nodes) return nodes, degree, addresses def cleanNodesEdges(df_nodes:","Skeletonization failed to apply largest_component = True param. Skipping.' cv2.imwrite(path, vectorized) return vectorized","exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if geoloc: if exportJSON: project_name = getProjectName() try:","True) nodes, degree, addresses = findNodes(vectorized) if len(degree) < 0: return [], [],","nodes = np.asarray(nodes) return nodes, degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy()","geoloc: bool = False): assert (exportPNG or exportJSON or exportSVG or exportSHP) #","x_, y_ = x, y+1 elif way == 6: x_, y_ = x+1,","direction_set = direction_set[direction_set != 4] last_ds.append(direction_set) direction_set = direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set","itinerary of each segment and return it Output(s): (Optional)(simple_ways: the Douglas-Peucker simple itinerary","zip(rows, cols): if r > 0 and c > 0 and r <","True direction = 8-start_dir while not(end): if x > 0 and y >","ways.append(way) if return_simple_ways: simple_ways = [] for way in ways: inv_way = np.asarray([np.asarray(way)[:,1],","outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG: print(\"\\nAvertissement:","y < image.shape[1]-1: # Extract an 8-connected neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x,","AttributeError('Parameters invalid: (' + str(x) + ',' + str(y) + ',' + str(way)","not(code in done): way, last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if","if exportPNG: toPNG(full_segments, vectorized, export_file_path) elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if geoloc:","''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for","number of non-zero locations equals 2, add this to our list of coordinates","each segment and return it. Input(s): df_nodes: list of nodes image: skeletonized image","= False): assert (exportPNG or exportJSON or exportSVG or exportSHP) # Convert to","way == 5: x_, y_ = x, y+1 elif way == 6: x_,","new_address.append(d) else: new_address.append(d) return new_address def explorePath(start_x: int, start_y: int, start_dir: int, image:","'ERROR: road_network must be grayscale image' img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized =","<NAME> https://github.com/RPetitpierre # For Bibliothèque nationale de France (BnF) import cv2, thinning, os","os.system('convert ' + png_path + pnm_path) os.system('potrace ' + pnm_path + ' -s","< image.shape[1]-1: # Extract an 8-connected neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c, c+1]),","else: new_address.append(d) return new_address def explorePath(start_x: int, start_y: int, start_dir: int, image: np.ndarray,","image Output(s): nodes: array of nodes coordinates (x, y) degree: degrees of the","for non-zero locations pix_neighbourhood = img[row_neigh, col_neigh].ravel() != 0 # If the number","degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way) <= min_length) and ((node['degree']","image Output(s): way: list of pixel coordinates on the way direction: last direction","= image.copy() road_network[road_network < 254] = 0 road_network[road_network < 255/2] = 0 road_network[road_network","streets, etc.) addresses: directions of the crossing roads, with regard to the node","c > 0 and r < image.shape[0]-1 and c < image.shape[1]-1: # Extract","[] for (r,c) in zip(rows, cols): if r > 0 and c >","assert len(road_network.shape) == 2, 'ERROR: road_network must be grayscale image' img = cv2.resize(road_network,","''' Find the nodes in the road network skeleton image. Input(s): image: skeletonized","np.ndarray): ''' Follow the path from one given start node and direction until","segments as a bitmap image from the road network. Input(s): segments: list of","in df_nodes.iterrows(): for direct in node['address']: code = str(node['x']) + '_' + str(node['y'])","as pd import shapefile as shp from skimage.measure import approximate_polygon from PIL import","new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address'] = new_addresses df['degree'] = new_degree return df def","7] elif direction == 1: wrong_paths = [6, 8] elif direction == 2:","direction_set = direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active:","x, y and way should be of type int.') return x_, y_ def","< image.shape[0]-1 and c < image.shape[1]-1: # Extract an 8-connected neighbourhood (col_neigh, row_neigh)","bool = False, geoloc: bool = False): assert (exportPNG or exportJSON or exportSVG","+ str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways = [] for way in ways: inv_way","image from the road network. Input(s): segments: list of segments, containing all the","= findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = False) simple_segments = [] if","4=crossroads of 3 streets, 5=crossroads of 4 streets, etc.) addresses: directions of the","Coded by <NAME> https://github.com/RPetitpierre # For Bibliothèque nationale de France (BnF) import cv2,","!= 0 except: print(x, y, image.shape, ) raise AssertionError() # If the number","if x > 0 and y > 0 and x < image.shape[0]-1 and","skeletonized image Output(s): way: list of pixel coordinates on the way direction: last","3] return wrong_paths direction = start_dir x, y = start_x, start_y assert image[x,","int = 30, return_simple_ways: bool = True): ''' Find all the road segments","way.append((new_x, new_y)) x, y = new_x, new_y wrong_paths = noTurnBack(direction) wrong_paths_active = True","new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address'] = new_addresses df['degree'] = new_degree","svg_path = export_file_path.replace('png', 'svg') os.system('convert ' + png_path + pnm_path) os.system('potrace ' +","+ str(way[-1][1]) + '_' + str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways = [] for","int, y: int, way: int): if way == 0: x_, y_ = x-1,","network nodes_grid: grid of the nodes of the skeletonized image Output(s): way: list","True else: end = True return way, direction, nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame,","image of the road network (streets in white) path: path where the skeletonized","the road network nodes_grid: grid of the nodes of the skeletonized image Output(s):","last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way) <= min_length) and","data: data = json.load(data) M = np.asarray(data['M']) simple_segments_JSON = [] for segment in","= simple_segments if exportJSON: with open(export_file_path.replace('png', 'json'), 'w') as outfile: json.dump(simple_segments_JSON, outfile) if","8: wrong_paths = [1, 3] return wrong_paths direction = start_dir x, y =","explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way) <= min_length) and ((node['degree'] == 2)","255 vectorized[vectorized <= 100] = 0 if largest_component: try: _, labels, stats, _","bool = False): ''' Thinning/skeletonization of the road network image to a wired","wrong_path] wrong_paths_active = False if len(direction_set) != 1: end = True break direction","= col_neigh.astype('int'), row_neigh.astype('int') # Convert into a single 1D array and check for","column locations that are non-zero (rows, cols) = np.nonzero(img) nodes, degree, addresses =","(BnF) import cv2, thinning, os import numpy as np import pandas as pd","assert image[x, y] != 0, 'ERROR: start point is not white' end =","y and way should be of type int.') return x_, y_ def noTurnBack(direction:","1D array and check for non-zero locations pix_neighbourhood = img[row_neigh, col_neigh].ravel() != 0","start_dir: int, image: np.ndarray, nodes_grid: np.ndarray): ''' Follow the path from one given","png_path + pnm_path) os.system('potrace ' + pnm_path + ' -s -o ' +","image should be saved largest_component: if True, only the largest road network component","commande, \\ installez d'abord Homebrew, ImageMagick et Potrace via le terminal.\\n\") print('Pour installer","findNodes(image: np.ndarray): ''' Find the nodes in the road network skeleton image. Input(s):","return simple_segments, full_segments, nodes_grid def toPNG(segments: list, vectorized: np.ndarray, out_path: str): ''' Save","explorePath(start_x: int, start_y: int, start_dir: int, image: np.ndarray, nodes_grid: np.ndarray): ''' Follow the","int, start_y: int, start_dir: int, image: np.ndarray, nodes_grid: np.ndarray): ''' Follow the path","0) w.field('note', 'C', 32, 0) for i in range(len(simple_ways)): w.line([simple_ways[i]]) w.record('01', i, '',","'w') as outfile: json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''),","cette commande, \\ installez d'abord Homebrew, ImageMagick et Potrace via le terminal.\\n\") print('Pour","[wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set != 4] last_ds.append(direction_set) direction_set = direction_set[direction_set != (8-direction)]","Output(s): nodes: array of nodes coordinates (x, y) degree: degrees of the nodes","ways, nodes_grid def thinImage(image: np.ndarray, image_name: str, export_file_path: str, exportPNG: bool = False,","and check for non-zero locations try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() != 0 except:","locations equals 2, add this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood)","= [0, 2] elif direction == 8: wrong_paths = [1, 3] return wrong_paths","avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address'] = new_addresses df['degree'] = new_degree return df","and c > 0 and r < image.shape[0]-1 and c < image.shape[1]-1: #","'C', 32, 0) for i in range(len(simple_ways)): w.line([simple_ways[i]]) w.record('01', i, '', '') w.close()","direction_set = np.where(pix_neighbourhood == True)[0] direction_set = direction_set[direction_set != 4] addresses.append(direction_set) nodes =","x+1]), np.array([y-1, y, y+1])) # Cast to int to index into image col_neigh,","else: print('La géolocalisation du réseau filaire ne fonctionne que pour le format JSON","bitmap.save(out_path) def toShapefile(simple_ways, out_path): w = shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0) w.field('gid', 'N',","y, direction) way.append((new_x, new_y)) x, y = new_x, new_y if nodes_grid[x, y]: end","done): way, last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way) <=","True if nodes_grid[x, y]: end = True direction = 8-start_dir while not(end): if","our list of coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood == True)[0] last_ds","not white' way.append((new_x, new_y)) x, y = new_x, new_y wrong_paths = noTurnBack(direction) wrong_paths_active","== 2) or (n_neighbours >= 4): nodes.append((r, c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood ==","brew install potrace\\n') if exportPNG: png_path = export_file_path else: png_path = os.path.join('workshop', 'thin.png')","géolocalisation du réseau filaire ne fonctionne que pour le format JSON actuellement.') else:","False) simple_segments = [] if exportPNG: toPNG(full_segments, vectorized, export_file_path) elif exportSVG: toPNG(full_segments, vectorized,","road network nodes_grid: grid of the nodes of the skeletonized image Output(s): way:","ways = [], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for ind, row","return it. Input(s): df_nodes: list of nodes image: skeletonized image of the road","nodes_grid[x, y]: end = True else: end = True return way, direction, nodes_grid[x,","False, exportSVG: bool = False, exportSHP: bool = False, geoloc: bool = False):","0 and y > 0 and x < image.shape[0]-1 and y < image.shape[1]-1:","road network (streets in white) path: path where the skeletonized image should be","should be comprised between 0 and 8, and != 4. x, y and","reach the 2nd node nodes_grid[x, y]: degree of the arrival node ''' def","way == 8: x_, y_ = x+1, y+1 else: raise AttributeError('Parameters invalid: ('","outfile: json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if","np.sum(pix_neighbourhood) if (n_neighbours == 2) or (n_neighbours >= 4): nodes.append((r, c)) degree.append(n_neighbours) direction_set","an 8-connected neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y, y+1])) #","ways: list of segments, containing all the pixels on the way between each","or exportSHP) # Convert to B&W road_network = image.copy() road_network[road_network < 254] =","way \\ should be comprised between 0 and 8, and != 4. x,","!= 3] if (exportJSON or exportSHP): simple_segments, full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length","= 0 road_network[road_network >= 255/2] = 255 vectorized = skeletonize(road_network, largest_component = True)","way == 7: x_, y_ = x+1, y elif way == 8: x_,","vectorized: skeletonized image ''' assert len(road_network.shape) == 2, 'ERROR: road_network must be grayscale","< 255/2] = 0 road_network[road_network >= 255/2] = 255 vectorized = skeletonize(road_network, largest_component","= False, geoloc: bool = False): assert (exportPNG or exportJSON or exportSVG or","except: 'Warning: Skeletonization failed to apply largest_component = True param. Skipping.' cv2.imwrite(path, vectorized)","elif way == 1: x_, y_ = x-1, y elif way == 2:","= [] if direction == 0: wrong_paths = [5, 7] elif direction ==","road network min_length: min segment length if the segment is terminal return_simple_ways: if","list of coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood == True)[0] last_ds =","return df def avoidDiagonalEdges(address: list, direction: int = None): right, diagonal = [1,","will be kept Output(s): vectorized: skeletonized image ''' assert len(road_network.shape) == 2, 'ERROR:","into a single 1D array and check for non-zero locations pix_neighbourhood = img[row_neigh,","np.array([y-1, y, y+1])) # Cast to int to index into image col_neigh, row_neigh","def absoluteWay(x: int, y: int, way: int): if way == 0: x_, y_","end = False way = [(x, y)] # First iteration new_x, new_y =","last direction to reach the 2nd node nodes_grid[x, y]: degree of the arrival","exportJSON: project_name = getProjectName() try: with open(os.path.join('save', project_name, 'match' , 'primary', image_name +","index into image col_neigh = col_neigh.astype('int') row_neigh = row_neigh.astype('int') # Convert into a","'ERROR: 2nd point is not white' way.append((new_x, new_y)) x, y = new_x, new_y","2nd point is not white' way.append((new_x, new_y)) x, y = new_x, new_y wrong_paths","[] for way in ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways,","png_path = export_file_path else: png_path = os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm') svg_path","degree of the arrival node ''' def absoluteWay(x: int, y: int, way: int):","if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG: print(\"\\nAvertissement: Si","= row['degree'] nodes_grid = nodes_grid.astype('int') for ind, node in df_nodes.iterrows(): for direct in","segments: list of segments, containing all the pixels on the way between each","= cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels","start node and direction until the next node, and stores the pixels on","comprised between 0 and 8, and != 4. x, y and way should","2, add this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours","str(y) + ',' + str(way) + '), way \\ should be comprised between","= None): right, diagonal = [1, 3, 5, 7], {0: [1, 3], 2:","''' Find all the road segments in the network. Keep the ones that","start point is not white' end = False way = [(x, y)] #","start node y-coordinate start_dir: starting direction ({0, 1, 2, 3, -, 5, 6,","= True else: end = True return way, direction, nodes_grid[x, y] def findSegments(df_nodes:","= Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for segment in segments: coords = [] for","== 6: wrong_paths = [1, 5] elif direction == 7: wrong_paths = [0,","nodes_grid: grid of the nodes of the skeletonized image Output(s): way: list of","image.shape[1]-1: # Extract an 8-connected neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1,","str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways = [] for way in ways: inv_way =","https://raw.githubusercontent.com/Homebrew/install/master/install)\"') print('Pour installer ImageMagick:\\n', ' brew install imagemagick') print('Pour installer Potrace: \\n', '","'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid = nodes_grid.astype('int') for ind, node in df_nodes.iterrows():","[], [], np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree': degree, 'address':","3] if (exportJSON or exportSHP): simple_segments, full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length =","wrong_paths: direction_set = direction_set[direction_set != wrong_path] wrong_paths_active = False if len(direction_set) != 1:","print('Pour installer Homebrew:\\n', ' /usr/bin/ruby -e \"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\"') print('Pour installer ImageMagick:\\n', '","raise AssertionError() # If the number of non-zero locations equals 2, add this","n_neighbours = np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood == True)[0] last_ds = [wrong_paths] last_ds.append(direction_set) direction_set","equals 2, add this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) if","x-1, y+1 elif way == 3: x_, y_ = x, y-1 elif way","of the road network (streets in white) path: path where the skeletonized image","== 5: x_, y_ = x, y+1 elif way == 6: x_, y_","\\ il n'est pas possible de calculer la géolocalisation de son réseau filaire\".format(image_name))","new_x, new_y = absoluteWay(x, y, direction) way.append((new_x, new_y)) x, y = new_x, new_y","node y-coordinate start_dir: starting direction ({0, 1, 2, 3, -, 5, 6, 7,","skeletonized image of the road network out_path: the path, where the output bitmap","pixels on the way between each couple of nodes nodes_grid: image containing all","_ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized =","exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG: print(\"\\nAvertissement: Si vous","= np.where(pix_neighbourhood == True)[0] last_ds = [wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set != 4]","simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist()) except: print(\"La géolocalisation","point is not white' end = False way = [(x, y)] # First","pd.DataFrame, image: np.ndarray, min_length: int = 30, return_simple_ways: bool = True): ''' Find","Find the nodes in the road network skeleton image. Input(s): image: skeletonized image","skeletonize(road_network: np.ndarray, path: str = \"workshop/vectorized.png\", largest_component: bool = False): ''' Thinning/skeletonization of","wrong_paths = [0, 6] elif direction == 6: wrong_paths = [1, 5] elif","network out_path: the path, where the output bitmap image should be save '''","of the crossing roads, with regard to the node ''' img = image.copy()","<= 100] = 0 if largest_component: try: _, labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(),","else: end = True return way, direction, nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame, image:","for segment in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist())","# Cast to int to index into image col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int')","component will be kept Output(s): vectorized: skeletonized image ''' assert len(road_network.shape) == 2,","path where the skeletonized image should be saved largest_component: if True, only the","2] elif direction == 8: wrong_paths = [1, 3] return wrong_paths direction =","False): ''' Thinning/skeletonization of the road network image to a wired model. Input(s):","(r,c) in zip(rows, cols): if r > 0 and c > 0 and","(' + str(x) + ',' + str(y) + ',' + str(way) + '),","installer Homebrew:\\n', ' /usr/bin/ruby -e \"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\"') print('Pour installer ImageMagick:\\n', ' brew","utils.match import toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network: np.ndarray, path: str = \"workshop/vectorized.png\",","simple itinerary of each segment and return it. Input(s): df_nodes: list of nodes","8] elif direction == 2: wrong_paths = [3, 7] elif direction == 3:","found in the image and their degree ''' img = image.copy() done, ways","import toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network: np.ndarray, path: str = \"workshop/vectorized.png\", largest_component:","(np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels == main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed to apply largest_component","road network out_path: the path, where the output bitmap image should be save","cols) = np.nonzero(img) nodes, degree, addresses = [], [], [] for (r,c) in",":2]) + M[:, 2:3].transpose()).tolist()) except: print(\"La géolocalisation de l'image {} n'a pas encore","node and direction until the next node, and stores the pixels on the","= x+1, y-1 elif way == 7: x_, y_ = x+1, y elif","pnm_path) os.system('potrace ' + pnm_path + ' -s -o ' + svg_path) return","pnm_path + ' -s -o ' + svg_path) return simple_segments, full_segments, nodes_grid def","((node['degree'] == 2) or (degree == 2))): done.append(str(way[-1][0]) + '_' + str(way[-1][1]) +","== 8: x_, y_ = x+1, y+1 else: raise AttributeError('Parameters invalid: (' +","be comprised between 0 and 8, and != 4. x, y and way","add this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood","True param. Skipping.' cv2.imwrite(path, vectorized) return vectorized def findNodes(image: np.ndarray): ''' Find the","new_y)) x, y = new_x, new_y if nodes_grid[x, y]: end = True else:","cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for segment in segments: coords","= True if nodes_grid[x, y]: end = True direction = 8-start_dir while not(end):","0 road_network[road_network < 255/2] = 0 road_network[road_network >= 255/2] = 255 vectorized =","simple_ways = [] for way in ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist())","x_, y_ = x+1, y elif way == 8: x_, y_ = x+1,","row_neigh) = np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r, r+1])) # Cast to int to","r in right: if r in address: new_address.append(r) for d in diagonal.keys(): if","''' def absoluteWay(x: int, y: int, way: int): if way == 0: x_,","from one given start node and direction until the next node, and stores","'_' + str(direct) if not(code in done): way, last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'],","= True param. Skipping.' cv2.imwrite(path, vectorized) return vectorized def findNodes(image: np.ndarray): ''' Find","= [] for r in right: if r in address: new_address.append(r) for d"],"string":"[\n \"exportSHP) # Convert to B&W road_network = image.copy() road_network[road_network < 254] = 0\",\n \"'C', 41, 0) w.field('note', 'C', 32, 0) for i in range(len(simple_ways)): w.line([simple_ways[i]]) w.record('01',\",\n \"= [3, 7] elif direction == 3: wrong_paths = [2, 8] elif direction\",\n \"= 15, return_simple_ways = True) else: full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length =\",\n \"y: int, way: int): if way == 0: x_, y_ = x-1, y-1\",\n \"cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] != 3] if (exportJSON or exportSHP): simple_segments, full_segments, nodes_grid\",\n \"the nodes of the skeletonized image Output(s): way: list of pixel coordinates on\",\n \"[] for ind, address in df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1)\",\n \"30, return_simple_ways: bool = True): ''' Find all the road segments in the\",\n \"cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels ==\",\n \"np.nonzero(img) nodes, degree, addresses = [], [], [] for (r,c) in zip(rows, cols):\",\n \"nodes, degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy() new_addresses, new_degree = [],\",\n \"False way = [(x, y)] # First iteration new_x, new_y = absoluteWay(x, y,\",\n \"of pixel coordinates on the way direction: last direction to reach the 2nd\",\n \"of the road network min_length: min segment length if the segment is terminal\",\n \"in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist()) except: print(\\\"La\",\n \"= df_nodes[df_nodes['degree'] != 3] if (exportJSON or exportSHP): simple_segments, full_segments, nodes_grid = findSegments(df_nodes,\",\n \"failed to apply largest_component = True param. Skipping.' cv2.imwrite(path, vectorized) return vectorized def\",\n \"way, last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way) <= min_length)\",\n \"in zip(rows, cols): if r > 0 and c > 0 and r\",\n \"length or non-terminal. Optionally, compute the Douglas-Peucker simple itinerary of each segment and\",\n \"son réseau filaire\\\".format(image_name)) simple_segments_JSON = simple_segments else: print('La géolocalisation du réseau filaire ne\",\n \"black and white image of the road network (streets in white) path: path\",\n \"a single 1D array and check for non-zero locations try: pix_neighbourhood = image[row_neigh,\",\n \"not((len(way) <= min_length) and ((node['degree'] == 2) or (degree == 2))): done.append(str(way[-1][0]) +\",\n \"c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood == True)[0] direction_set = direction_set[direction_set != 4] addresses.append(direction_set)\",\n \"= df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for ind, row in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'],\",\n \"from utils.match import toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network: np.ndarray, path: str =\",\n \"y = new_x, new_y wrong_paths = noTurnBack(direction) wrong_paths_active = True if nodes_grid[x, y]:\",\n \"simple_segments if exportJSON: with open(export_file_path.replace('png', 'json'), 'w') as outfile: json.dump(simple_segments_JSON, outfile) if exportSHP:\",\n \"= cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] != 3] if (exportJSON or exportSHP): simple_segments, full_segments,\",\n \"os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG: print(\\\"\\\\nAvertissement: Si vous n'avez\",\n \"\\\\ installez d'abord Homebrew, ImageMagick et Potrace via le terminal.\\\\n\\\") print('Pour installer Homebrew:\\\\n',\",\n \"str): ''' Save a given set of segments as a bitmap image from\",\n \"image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree': degree, 'address': addresses }) df_nodes\",\n \"coordinates n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours == 2) or (n_neighbours >= 4): nodes.append((r,\",\n \"the arrival node ''' def absoluteWay(x: int, y: int, way: int): if way\",\n \"diagonal = [1, 3, 5, 7], {0: [1, 3], 2: [1, 5], 6:\",\n \"c, c+1]), np.array([r-1, r, r+1])) # Cast to int to index into image\",\n \"# Extract an 8-connected neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y,\",\n \"= [2, 8] elif direction == 5: wrong_paths = [0, 6] elif direction\",\n \"shp from skimage.measure import approximate_polygon from PIL import Image, ImageDraw from utils.utils import\",\n \"the road segments in the network. Keep the ones that are longer than\",\n \"= ImageDraw.Draw(bitmap) for segment in segments: coords = [] for point in segment:\",\n \"stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels == main_component).astype('uint8')*255 except:\",\n \"5: wrong_paths = [0, 6] elif direction == 6: wrong_paths = [1, 5]\",\n \"= absoluteWay(x, y, direction) way.append((new_x, new_y)) x, y = new_x, new_y if nodes_grid[x,\",\n \"= x-1, y-1 elif way == 1: x_, y_ = x-1, y elif\",\n \"''' assert len(road_network.shape) == 2, 'ERROR: road_network must be grayscale image' img =\",\n \"15, return_simple_ways = True) else: full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15,\",\n \"'primary', image_name + '.json')) as data: data = json.load(data) M = np.asarray(data['M']) simple_segments_JSON\",\n \"via le terminal.\\\\n\\\") print('Pour installer Homebrew:\\\\n', ' /usr/bin/ruby -e \\\"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\\\"') print('Pour\",\n \"to int to index into image col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int') # Convert\",\n \"for wrong_path in wrong_paths: direction_set = direction_set[direction_set != wrong_path] wrong_paths_active = False if\",\n \"= [], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for ind, row in\",\n \"Extract an 8-connected neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y, y+1]))\",\n \"network image to a wired model. Input(s): road_network: black and white image of\",\n \"nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = True) else: full_segments, nodes_grid\",\n \"5] elif direction == 7: wrong_paths = [0, 2] elif direction == 8:\",\n \"image. Input(s): image: skeletonized image Output(s): nodes: array of nodes coordinates (x, y)\",\n \"degree, addresses = findNodes(vectorized) if len(degree) < 0: return [], [], np.zeros((image.shape[1], image.shape[0]))\",\n \"# First iteration new_x, new_y = absoluteWay(x, y, direction) assert image[new_x, new_y] !=\",\n \"y_ = x-1, y elif way == 2: x_, y_ = x-1, y+1\",\n \"= (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for segment in\",\n \"wrong_path in wrong_paths: direction_set = direction_set[direction_set != wrong_path] wrong_paths_active = False if len(direction_set)\",\n \"255/2] = 255 vectorized = skeletonize(road_network, largest_component = True) nodes, degree, addresses =\",\n \"Input(s): image: skeletonized image Output(s): nodes: array of nodes coordinates (x, y) degree:\",\n \"be save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png') draw =\",\n \"return vectorized def findNodes(image: np.ndarray): ''' Find the nodes in the road network\",\n \"neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r, r+1])) # Cast to\",\n \"brew install imagemagick') print('Pour installer Potrace: \\\\n', ' brew install potrace\\\\n') if exportPNG:\",\n \"= np.asarray(data['M']) simple_segments_JSON = [] for segment in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T\",\n \"if r in address: new_address.append(r) for d in diagonal.keys(): if d in address:\",\n \"break direction = direction_set[0] new_x, new_y = absoluteWay(x, y, direction) way.append((new_x, new_y)) x,\",\n \"1) df['address'] = new_addresses df['degree'] = new_degree return df def avoidDiagonalEdges(address: list, direction:\",\n \"wrong_paths = noTurnBack(direction) wrong_paths_active = True if nodes_grid[x, y]: end = True direction\",\n \"!= wrong_path] wrong_paths_active = False if len(direction_set) != 1: end = True break\",\n \"into image col_neigh = col_neigh.astype('int') row_neigh = row_neigh.astype('int') # Convert into a single\",\n \"def skeletonize(road_network: np.ndarray, path: str = \\\"workshop/vectorized.png\\\", largest_component: bool = False): ''' Thinning/skeletonization\",\n \"toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if geoloc: if exportJSON: project_name = getProjectName() try: with\",\n \"= [6, 8] elif direction == 2: wrong_paths = [3, 7] elif direction\",\n \"8: [5, 7]} new_address = [] for r in right: if r in\",\n \"15, return_simple_ways = False) simple_segments = [] if exportPNG: toPNG(full_segments, vectorized, export_file_path) elif\",\n \"longer than a given length or non-terminal. Optionally, compute the Douglas-Peucker simple itinerary\",\n \"exportPNG: bool = False, exportJSON: bool = False, exportSVG: bool = False, exportSHP:\",\n \"to the node ''' img = image.copy() # Find row and column locations\",\n \"[1, 3, 5, 7], {0: [1, 3], 2: [1, 5], 6: [3, 7],\",\n \"fill = 'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path): w = shp.Writer(out_path) w.field('DeletionFlag', 'C',\",\n \"print(\\\"\\\\nAvertissement: Si vous n'avez jamais utilisé cette commande, \\\\ installez d'abord Homebrew, ImageMagick\",\n \"# Convert to B&W road_network = image.copy() road_network[road_network < 254] = 0 road_network[road_network\",\n \"wrong_paths = [3, 7] elif direction == 3: wrong_paths = [2, 8] elif\",\n \"int to index into image col_neigh = col_neigh.astype('int') row_neigh = row_neigh.astype('int') # Convert\",\n \"imagemagick') print('Pour installer Potrace: \\\\n', ' brew install potrace\\\\n') if exportPNG: png_path =\",\n \"+ '_' + str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways = [] for way in\",\n \"image col_neigh = col_neigh.astype('int') row_neigh = row_neigh.astype('int') # Convert into a single 1D\",\n \"it. Input(s): df_nodes: list of nodes image: skeletonized image of the road network\",\n \"import * from utils.match import toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network: np.ndarray, path:\",\n \"-fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\\\"') print('Pour installer ImageMagick:\\\\n', ' brew install imagemagick') print('Pour installer Potrace: \\\\n',\",\n \"ImageDraw from utils.utils import * from utils.match import toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def\",\n \"direction_set = direction_set[direction_set != 4] addresses.append(direction_set) nodes = np.asarray(nodes) return nodes, degree, addresses\",\n \"''' Save a given set of segments as a bitmap image from the\",\n \"bool = False, exportJSON: bool = False, exportSVG: bool = False, exportSHP: bool\",\n \"draw = ImageDraw.Draw(bitmap) for segment in segments: coords = [] for point in\",\n \"exportSVG or exportSHP) # Convert to B&W road_network = image.copy() road_network[road_network < 254]\",\n \"Output(s): way: list of pixel coordinates on the way direction: last direction to\",\n \"exportPNG: png_path = export_file_path else: png_path = os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm')\",\n \"Homebrew:\\\\n', ' /usr/bin/ruby -e \\\"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\\\"') print('Pour installer ImageMagick:\\\\n', ' brew install\",\n \"= x+1, y elif way == 8: x_, y_ = x+1, y+1 else:\",\n \"= 0 road_network[road_network < 255/2] = 0 road_network[road_network >= 255/2] = 255 vectorized\",\n \"apply largest_component = True param. Skipping.' cv2.imwrite(path, vectorized) return vectorized def findNodes(image: np.ndarray):\",\n \"direction == 2: wrong_paths = [3, 7] elif direction == 3: wrong_paths =\",\n \"installer ImageMagick:\\\\n', ' brew install imagemagick') print('Pour installer Potrace: \\\\n', ' brew install\",\n \"(exportJSON or exportSHP): simple_segments, full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways\",\n \"x_, y_ = x+1, y+1 else: raise AttributeError('Parameters invalid: (' + str(x) +\",\n \"if nodes_grid[x, y]: end = True direction = 8-start_dir while not(end): if x\",\n \"= export_file_path else: png_path = os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm') svg_path =\",\n \"array and check for non-zero locations try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() != 0\",\n \"end = True else: end = True return way, direction, nodes_grid[x, y] def\",\n \"direction, nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length: int = 30, return_simple_ways:\",\n \"network (streets in white) path: path where the skeletonized image should be saved\",\n \"7], 8: [5, 7]} new_address = [] for r in right: if r\",\n \"= col_neigh.astype('int') row_neigh = row_neigh.astype('int') # Convert into a single 1D array and\",\n \"export_file_path.replace('png', 'svg') os.system('convert ' + png_path + pnm_path) os.system('potrace ' + pnm_path +\",\n \"nodes_grid[x, y]: degree of the arrival node ''' def absoluteWay(x: int, y: int,\",\n \"start node x-coordinate start_y: start node y-coordinate start_dir: starting direction ({0, 1, 2,\",\n \"df_nodes.iterrows(): for direct in node['address']: code = str(node['x']) + '_' + str(node['y']) +\",\n \"= x+1, y+1 else: raise AttributeError('Parameters invalid: (' + str(x) + ',' +\",\n \"< 0: return [], [], np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1],\",\n \"image=img, nodes_grid=nodes_grid) if not((len(way) <= min_length) and ((node['degree'] == 2) or (degree ==\",\n \"True break direction = direction_set[0] new_x, new_y = absoluteWay(x, y, direction) way.append((new_x, new_y))\",\n \"Extract an 8-connected neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r, r+1]))\",\n \"project_name = getProjectName() try: with open(os.path.join('save', project_name, 'match' , 'primary', image_name + '.json'))\",\n \"# Extract an 8-connected neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r,\",\n \"'_' + str(node['y']) + '_' + str(direct) if not(code in done): way, last_direct,\",\n \"terminal return_simple_ways: if True, compute the Douglas-Peucker simple itinerary of each segment and\",\n \"output bitmap image should be save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap\",\n \"8] elif direction == 5: wrong_paths = [0, 6] elif direction == 6:\",\n \"# 2020, BackThen Maps # Coded by <NAME> https://github.com/RPetitpierre # For Bibliothèque nationale\",\n \"cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy() new_addresses, new_degree = [], [] for ind, address\",\n \"the pixels on the way between each couple of nodes nodes_grid: image containing\",\n \"y-1 elif way == 1: x_, y_ = x-1, y elif way ==\",\n \"= 255 vectorized = skeletonize(road_network, largest_component = True) nodes, degree, addresses = findNodes(vectorized)\",\n \"if return_simple_ways: simple_ways = [] for way in ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose()\",\n \"segments, containing all the pixels on the way between each couple of nodes\",\n \"locations that are non-zero (rows, cols) = np.nonzero(img) nodes, degree, addresses = [],\",\n \"cv2.imwrite(path, vectorized) return vectorized def findNodes(image: np.ndarray): ''' Find the nodes in the\",\n \"vectorized: skeletonized image of the road network out_path: the path, where the output\",\n \"and white image of the road network (streets in white) path: path where\",\n \"else: full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = False) simple_segments\",\n \"y+1])) # Cast to int to index into image col_neigh, row_neigh = col_neigh.astype('int'),\",\n \"n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours == 2) or (n_neighbours >= 4): nodes.append((r, c))\",\n \"0: return [], [], np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree':\",\n \"8}) image: skeletonized image of the road network nodes_grid: grid of the nodes\",\n \"'_' + str(way[-1][1]) + '_' + str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways = []\",\n \"vectorized, os.path.join('workshop', 'thin.png')) if geoloc: if exportJSON: project_name = getProjectName() try: with open(os.path.join('save',\",\n \"= (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels == main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed to apply\",\n \"while not(end): if x > 0 and y > 0 and x <\",\n \"== 2) or (degree == 2))): done.append(str(way[-1][0]) + '_' + str(way[-1][1]) + '_'\",\n \"wrong_paths = [2, 8] elif direction == 5: wrong_paths = [0, 6] elif\",\n \"= True break direction = direction_set[0] new_x, new_y = absoluteWay(x, y, direction) way.append((new_x,\",\n \"as a bitmap image from the road network. Input(s): segments: list of segments,\",\n \"containing all the pixels on the way between each couple of nodes vectorized:\",\n \"y_ = x+1, y+1 else: raise AttributeError('Parameters invalid: (' + str(x) + ','\",\n \"list of nodes image: skeletonized image of the road network min_length: min segment\",\n \"str = \\\"workshop/vectorized.png\\\", largest_component: bool = False): ''' Thinning/skeletonization of the road network\",\n \") raise AssertionError() # If the number of non-zero locations equals 2, add\",\n \"for segment in segments: coords = [] for point in segment: coords.append((point[1], point[0]))\",\n \"a single 1D array and check for non-zero locations pix_neighbourhood = img[row_neigh, col_neigh].ravel()\",\n \"elif way == 7: x_, y_ = x+1, y elif way == 8:\",\n \"8: x_, y_ = x+1, y+1 else: raise AttributeError('Parameters invalid: (' + str(x)\",\n \"cols): if r > 0 and c > 0 and r < image.shape[0]-1\",\n \"pour le format JSON actuellement.') else: simple_segments_JSON = simple_segments if exportJSON: with open(export_file_path.replace('png',\",\n \"wrong_paths direction = start_dir x, y = start_x, start_y assert image[x, y] !=\",\n \"and return it Output(s): (Optional)(simple_ways: the Douglas-Peucker simple itinerary of each segmenty) ways:\",\n \"''' img = image.copy() # Find row and column locations that are non-zero\",\n \"+ M[:, 2:3].transpose()).tolist()) except: print(\\\"La géolocalisation de l'image {} n'a pas encore été\",\n \"saved largest_component: if True, only the largest road network component will be kept\",\n \"https://github.com/RPetitpierre # For Bibliothèque nationale de France (BnF) import cv2, thinning, os import\",\n \"y-1 elif way == 5: x_, y_ = x, y+1 elif way ==\",\n \"1, 2, 3, -, 5, 6, 7, 8}) image: skeletonized image of the\",\n \"in right: if r in address: new_address.append(r) for d in diagonal.keys(): if d\",\n \"to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood == True)[0]\",\n \"np.ndarray, nodes_grid: np.ndarray): ''' Follow the path from one given start node and\",\n \"in wrong_paths: direction_set = direction_set[direction_set != wrong_path] wrong_paths_active = False if len(direction_set) !=\",\n \"path: str = \\\"workshop/vectorized.png\\\", largest_component: bool = False): ''' Thinning/skeletonization of the road\",\n \"= [] for way in ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return\",\n \"row['degree'] nodes_grid = nodes_grid.astype('int') for ind, node in df_nodes.iterrows(): for direct in node['address']:\",\n \"4): nodes.append((r, c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood == True)[0] direction_set = direction_set[direction_set !=\",\n \"findNodes(vectorized) if len(degree) < 0: return [], [], np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x':\",\n \"= np.zeros(image.shape) for ind, row in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree']\",\n \"Input(s): segments: list of segments, containing all the pixels on the way between\",\n \"d'abord Homebrew, ImageMagick et Potrace via le terminal.\\\\n\\\") print('Pour installer Homebrew:\\\\n', ' /usr/bin/ruby\",\n \"potrace\\\\n') if exportPNG: png_path = export_file_path else: png_path = os.path.join('workshop', 'thin.png') pnm_path =\",\n \"image[new_x, new_y] != 0, 'ERROR: 2nd point is not white' way.append((new_x, new_y)) x,\",\n \"simple_segments_JSON = simple_segments if exportJSON: with open(export_file_path.replace('png', 'json'), 'w') as outfile: json.dump(simple_segments_JSON, outfile)\",\n \"str(direct) if not(code in done): way, last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img,\",\n \"network skeleton image. Input(s): image: skeletonized image Output(s): nodes: array of nodes coordinates\",\n \"svg_path) return simple_segments, full_segments, nodes_grid def toPNG(segments: list, vectorized: np.ndarray, out_path: str): '''\",\n \"the output bitmap image should be save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas);\",\n \"if (n_neighbours == 2) or (n_neighbours >= 4): nodes.append((r, c)) degree.append(n_neighbours) direction_set =\",\n \"ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid else: return\",\n \"= np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood == True)[0] last_ds = [wrong_paths] last_ds.append(direction_set) direction_set =\",\n \"data = json.load(data) M = np.asarray(data['M']) simple_segments_JSON = [] for segment in simple_segments:\",\n \"False if len(direction_set) != 1: end = True break direction = direction_set[0] new_x,\",\n \"# If the number of non-zero locations equals 2, add this to our\",\n \"2: [1, 5], 6: [3, 7], 8: [5, 7]} new_address = [] for\",\n \"d in diagonal.keys(): if d in address: if not(diagonal[d][0] in address) and not(diagonal[d][1]\",\n \"nodes_grid=nodes_grid) if not((len(way) <= min_length) and ((node['degree'] == 2) or (degree == 2))):\",\n \"y = start_x, start_y assert image[x, y] != 0, 'ERROR: start point is\",\n \"degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy() new_addresses, new_degree = [], []\",\n \"bool = False): assert (exportPNG or exportJSON or exportSVG or exportSHP) # Convert\",\n \"= image[row_neigh, col_neigh].transpose().ravel() != 0 except: print(x, y, image.shape, ) raise AssertionError() #\",\n \"y_ = x, y-1 elif way == 5: x_, y_ = x, y+1\",\n \"and not(diagonal[d][1] in address): if direction != None: if not((8-direction) in diagonal[d]): new_address.append(d)\",\n \"all the pixels on the way between each couple of nodes vectorized: skeletonized\",\n \"int, start_dir: int, image: np.ndarray, nodes_grid: np.ndarray): ''' Follow the path from one\",\n \"df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] != 3] if (exportJSON\",\n \"100] = 0 if largest_component: try: _, labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8,\",\n \"should be of type int.') return x_, y_ def noTurnBack(direction: int): wrong_paths =\",\n \"= [1, 3] return wrong_paths direction = start_dir x, y = start_x, start_y\",\n \"y)] # First iteration new_x, new_y = absoluteWay(x, y, direction) assert image[new_x, new_y]\",\n \"on the way between each couple of nodes vectorized: skeletonized image of the\",\n \"in done): way, last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way)\",\n \"y = new_x, new_y if nodes_grid[x, y]: end = True else: end =\",\n \"the road network (streets in white) path: path where the skeletonized image should\",\n \"out_path: str): ''' Save a given set of segments as a bitmap image\",\n \"with open(os.path.join('save', project_name, 'match' , 'primary', image_name + '.json')) as data: data =\",\n \"arrival node ''' def absoluteWay(x: int, y: int, way: int): if way ==\",\n \"way == 6: x_, y_ = x+1, y-1 elif way == 7: x_,\",\n \"= [], [], [] for (r,c) in zip(rows, cols): if r > 0\",\n \"11, 0) w.field('streetname', 'C', 41, 0) w.field('note', 'C', 32, 0) for i in\",\n \"each couple of nodes nodes_grid: image containing all the nodes found in the\",\n \"= start_x, start_y assert image[x, y] != 0, 'ERROR: start point is not\",\n \"inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid else: return ways,\",\n \"start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way) <= min_length) and ((node['degree'] == 2) or (degree\",\n \"x, x+1]), np.array([y-1, y, y+1])) # Cast to int to index into image\",\n \"roads, with regard to the node ''' img = image.copy() # Find row\",\n \"nodes[:,0], 'y': nodes[:,1], 'degree': degree, 'address': addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes =\",\n \"ImageDraw.Draw(bitmap) for segment in segments: coords = [] for point in segment: coords.append((point[1],\",\n \"list, vectorized: np.ndarray, out_path: str): ''' Save a given set of segments as\",\n \"def cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy() new_addresses, new_degree = [], [] for ind,\",\n \"direction)) last_ds.append(direction_set) if wrong_paths_active: for wrong_path in wrong_paths: direction_set = direction_set[direction_set != wrong_path]\",\n \"export_file_path) elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if geoloc: if exportJSON: project_name =\",\n \"skeletonized image ''' assert len(road_network.shape) == 2, 'ERROR: road_network must be grayscale image'\",\n \"True, compute the Douglas-Peucker simple itinerary of each segment and return it Output(s):\",\n \"(streets in white) path: path where the skeletonized image should be saved largest_component:\",\n \"+ svg_path) return simple_segments, full_segments, nodes_grid def toPNG(segments: list, vectorized: np.ndarray, out_path: str):\",\n \"r < image.shape[0]-1 and c < image.shape[1]-1: # Extract an 8-connected neighbourhood (col_neigh,\",\n \"'.json')) as data: data = json.load(data) M = np.asarray(data['M']) simple_segments_JSON = [] for\",\n \"= direction_set[direction_set != 4] addresses.append(direction_set) nodes = np.asarray(nodes) return nodes, degree, addresses def\",\n \"'N', 11, 0) w.field('streetname', 'C', 41, 0) w.field('note', 'C', 32, 0) for i\",\n \"col_neigh.astype('int') row_neigh = row_neigh.astype('int') # Convert into a single 1D array and check\",\n \"the Douglas-Peucker simple itinerary of each segment and return it Output(s): (Optional)(simple_ways: the\",\n \"== 2))): done.append(str(way[-1][0]) + '_' + str(way[-1][1]) + '_' + str(8-last_direct)) ways.append(way) if\",\n \"np.where(pix_neighbourhood == True)[0] last_ds = [wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set != 4] last_ds.append(direction_set)\",\n \"image: np.ndarray, min_length: int = 30, return_simple_ways: bool = True): ''' Find all\",\n \"direction_set[direction_set != wrong_path] wrong_paths_active = False if len(direction_set) != 1: end = True\",\n \"to int to index into image col_neigh = col_neigh.astype('int') row_neigh = row_neigh.astype('int') #\",\n \"must be grayscale image' img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized\",\n \"Cast to int to index into image col_neigh = col_neigh.astype('int') row_neigh = row_neigh.astype('int')\",\n \"vous n'avez jamais utilisé cette commande, \\\\ installez d'abord Homebrew, ImageMagick et Potrace\",\n \"grayscale image' img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized > 100]\",\n \"print('Pour installer Potrace: \\\\n', ' brew install potrace\\\\n') if exportPNG: png_path = export_file_path\",\n \"simple_segments_JSON = [] for segment in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2])\",\n \"the nodes (2=endpoint, 4=crossroads of 3 streets, 5=crossroads of 4 streets, etc.) addresses:\",\n \"regard to the node ''' img = image.copy() # Find row and column\",\n \"direction == 0: wrong_paths = [5, 7] elif direction == 1: wrong_paths =\",\n \"254] = 0 road_network[road_network < 255/2] = 0 road_network[road_network >= 255/2] = 255\",\n \"x, y = new_x, new_y if nodes_grid[x, y]: end = True else: end\",\n \"connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels == main_component).astype('uint8')*255\",\n \"= (labels == main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed to apply largest_component = True\",\n \"image_name: str, export_file_path: str, exportPNG: bool = False, exportJSON: bool = False, exportSVG:\",\n \"direction_set = np.where(pix_neighbourhood == True)[0] last_ds = [wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set !=\",\n \"install imagemagick') print('Pour installer Potrace: \\\\n', ' brew install potrace\\\\n') if exportPNG: png_path\",\n \"full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = True) else: full_segments,\",\n \"y, direction) assert image[new_x, new_y] != 0, 'ERROR: 2nd point is not white'\",\n \"the road network min_length: min segment length if the segment is terminal return_simple_ways:\",\n \"canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for segment\",\n \"length if the segment is terminal return_simple_ways: if True, compute the Douglas-Peucker simple\",\n \"nationale de France (BnF) import cv2, thinning, os import numpy as np import\",\n \"w.field('streetname', 'C', 41, 0) w.field('note', 'C', 32, 0) for i in range(len(simple_ways)): w.line([simple_ways[i]])\",\n \"exportJSON: bool = False, exportSVG: bool = False, exportSHP: bool = False, geoloc:\",\n \"this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours == 2)\",\n \"for r in right: if r in address: new_address.append(r) for d in diagonal.keys():\",\n \"and column locations that are non-zero (rows, cols) = np.nonzero(img) nodes, degree, addresses\",\n \"the crossing roads, with regard to the node ''' img = image.copy() #\",\n \"x_, y_ = x-1, y+1 elif way == 3: x_, y_ = x,\",\n \"new_x, new_y if nodes_grid[x, y]: end = True else: end = True return\",\n \"way direction: last direction to reach the 2nd node nodes_grid[x, y]: degree of\",\n \"[] for segment in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:,\",\n \"address in df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address'] = new_addresses\",\n \"add this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours ==\",\n \"< 254] = 0 road_network[road_network < 255/2] = 0 road_network[road_network >= 255/2] =\",\n \"== 0: wrong_paths = [5, 7] elif direction == 1: wrong_paths = [6,\",\n \"installez d'abord Homebrew, ImageMagick et Potrace via le terminal.\\\\n\\\") print('Pour installer Homebrew:\\\\n', '\",\n \"to reach the 2nd node nodes_grid[x, y]: degree of the arrival node '''\",\n \"!= 0 # If the number of non-zero locations equals 2, add this\",\n \"col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int') # Convert into a single 1D array and\",\n \"simple_segments_JSON = simple_segments else: print('La géolocalisation du réseau filaire ne fonctionne que pour\",\n \"Potrace: \\\\n', ' brew install potrace\\\\n') if exportPNG: png_path = export_file_path else: png_path\",\n \"absoluteWay(x: int, y: int, way: int): if way == 0: x_, y_ =\",\n \"of non-zero locations equals 2, add this to our list of coordinates n_neighbours\",\n \"np import pandas as pd import shapefile as shp from skimage.measure import approximate_polygon\",\n \"of the arrival node ''' def absoluteWay(x: int, y: int, way: int): if\",\n \"the road network image to a wired model. Input(s): road_network: black and white\",\n \"= cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized > 100] = 255 vectorized[vectorized\",\n \"if geoloc: if exportJSON: project_name = getProjectName() try: with open(os.path.join('save', project_name, 'match' ,\",\n \"findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = True) else: full_segments, nodes_grid = findSegments(df_nodes,\",\n \"7] elif direction == 3: wrong_paths = [2, 8] elif direction == 5:\",\n \"x > 0 and y > 0 and x < image.shape[0]-1 and y\",\n \"= np.nonzero(img) nodes, degree, addresses = [], [], [] for (r,c) in zip(rows,\",\n \"road_network[road_network < 255/2] = 0 road_network[road_network >= 255/2] = 255 vectorized = skeletonize(road_network,\",\n \"Homebrew, ImageMagick et Potrace via le terminal.\\\\n\\\") print('Pour installer Homebrew:\\\\n', ' /usr/bin/ruby -e\",\n \"'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid = nodes_grid.astype('int') for ind, node in\",\n \"Douglas-Peucker simple itinerary of each segmenty) ways: list of segments, containing all the\",\n \"thinning.guo_hall_thinning(img) vectorized[vectorized > 100] = 255 vectorized[vectorized <= 100] = 0 if largest_component:\",\n \"vectorized: np.ndarray, out_path: str): ''' Save a given set of segments as a\",\n \"return_simple_ways = True) else: full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways\",\n \"to index into image col_neigh = col_neigh.astype('int') row_neigh = row_neigh.astype('int') # Convert into\",\n \"node in df_nodes.iterrows(): for direct in node['address']: code = str(node['x']) + '_' +\",\n \"format JSON actuellement.') else: simple_segments_JSON = simple_segments if exportJSON: with open(export_file_path.replace('png', 'json'), 'w')\",\n \"elif way == 3: x_, y_ = x, y-1 elif way == 5:\",\n \"each segmenty) ways: list of segments, containing all the pixels on the way\",\n \"y_ = x+1, y elif way == 8: x_, y_ = x+1, y+1\",\n \"Image, ImageDraw from utils.utils import * from utils.match import toLatLon Image.MAX_IMAGE_PIXELS = 500000000\",\n \"not white' end = False way = [(x, y)] # First iteration new_x,\",\n \"s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist()) except: print(\\\"La géolocalisation de\",\n \"col_neigh) = np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y, y+1])) # Cast to int to\",\n \"in the road network skeleton image. Input(s): image: skeletonized image Output(s): nodes: array\",\n \"if exportJSON: project_name = getProjectName() try: with open(os.path.join('save', project_name, 'match' , 'primary', image_name\",\n \"nodes in the road network skeleton image. Input(s): image: skeletonized image Output(s): nodes:\",\n \"cv2, thinning, os import numpy as np import pandas as pd import shapefile\",\n \"elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if geoloc: if exportJSON: project_name = getProjectName()\",\n \"min segment length if the segment is terminal return_simple_ways: if True, compute the\",\n \"return nodes, degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy() new_addresses, new_degree =\",\n \"= [(x, y)] # First iteration new_x, new_y = absoluteWay(x, y, direction) assert\",\n \"and stores the pixels on the way. Input(s): start_x: start node x-coordinate start_y:\",\n \"For Bibliothèque nationale de France (BnF) import cv2, thinning, os import numpy as\",\n \"1: wrong_paths = [6, 8] elif direction == 2: wrong_paths = [3, 7]\",\n \"[] for r in right: if r in address: new_address.append(r) for d in\",\n \"3, -, 5, 6, 7, 8}) image: skeletonized image of the road network\",\n \"Convert into a single 1D array and check for non-zero locations try: pix_neighbourhood\",\n \"canvas); bitmap = Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for segment in segments: coords =\",\n \"= img[row_neigh, col_neigh].ravel() != 0 # If the number of non-zero locations equals\",\n \"elif direction == 8: wrong_paths = [1, 3] return wrong_paths direction = start_dir\",\n \"grid of the nodes of the skeletonized image Output(s): way: list of pixel\",\n \"addresses: directions of the crossing roads, with regard to the node ''' img\",\n \"etc.) addresses: directions of the crossing roads, with regard to the node '''\",\n \"segment and return it. Input(s): df_nodes: list of nodes image: skeletonized image of\",\n \"from utils.utils import * from utils.match import toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network:\",\n \"install potrace\\\\n') if exportPNG: png_path = export_file_path else: png_path = os.path.join('workshop', 'thin.png') pnm_path\",\n \"last_ds = [wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set != 4] last_ds.append(direction_set) direction_set = direction_set[direction_set\",\n \"'_' + str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways = [] for way in ways:\",\n \"nodes, degree, addresses = findNodes(vectorized) if len(degree) < 0: return [], [], np.zeros((image.shape[1],\",\n \"exportSHP: bool = False, geoloc: bool = False): assert (exportPNG or exportJSON or\",\n \"pix_neighbourhood = img[row_neigh, col_neigh].ravel() != 0 # If the number of non-zero locations\",\n \"direction until the next node, and stores the pixels on the way. Input(s):\",\n \"y_ = x-1, y+1 elif way == 3: x_, y_ = x, y-1\",\n \"!= 4. x, y and way should be of type int.') return x_,\",\n \"nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length: int = 30, return_simple_ways: bool\",\n \"5, 6, 7, 8}) image: skeletonized image of the road network nodes_grid: grid\",\n \"return it Output(s): (Optional)(simple_ways: the Douglas-Peucker simple itinerary of each segmenty) ways: list\",\n \"way == 3: x_, y_ = x, y-1 elif way == 5: x_,\",\n \"Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for segment in segments: coords = [] for point\",\n \"network min_length: min segment length if the segment is terminal return_simple_ways: if True,\",\n \"compute the Douglas-Peucker simple itinerary of each segment and return it. Input(s): df_nodes:\",\n \"''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG: print(\\\"\\\\nAvertissement: Si vous n'avez jamais\",\n \"as shp from skimage.measure import approximate_polygon from PIL import Image, ImageDraw from utils.utils\",\n \"[1, 5] elif direction == 7: wrong_paths = [0, 2] elif direction ==\",\n \"segment length if the segment is terminal return_simple_ways: if True, compute the Douglas-Peucker\",\n \"if not(diagonal[d][0] in address) and not(diagonal[d][1] in address): if direction != None: if\",\n \"ways, nodes_grid else: return ways, nodes_grid def thinImage(image: np.ndarray, image_name: str, export_file_path: str,\",\n \"else: png_path = os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png', 'svg')\",\n \"import cv2, thinning, os import numpy as np import pandas as pd import\",\n \"and r < image.shape[0]-1 and c < image.shape[1]-1: # Extract an 8-connected neighbourhood\",\n \"du réseau filaire ne fonctionne que pour le format JSON actuellement.') else: simple_segments_JSON\",\n \"approximate_polygon from PIL import Image, ImageDraw from utils.utils import * from utils.match import\",\n \"in address: new_address.append(r) for d in diagonal.keys(): if d in address: if not(diagonal[d][0]\",\n \"address: new_address.append(r) for d in diagonal.keys(): if d in address: if not(diagonal[d][0] in\",\n \"y]: degree of the arrival node ''' def absoluteWay(x: int, y: int, way:\",\n \", 'primary', image_name + '.json')) as data: data = json.load(data) M = np.asarray(data['M'])\",\n \"r, r+1])) # Cast to int to index into image col_neigh = col_neigh.astype('int')\",\n \"nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = False) simple_segments = []\",\n \"col_neigh.astype('int'), row_neigh.astype('int') # Convert into a single 1D array and check for non-zero\",\n \"between each couple of nodes vectorized: skeletonized image of the road network out_path:\",\n \"all the pixels on the way between each couple of nodes nodes_grid: image\",\n \"if not((len(way) <= min_length) and ((node['degree'] == 2) or (degree == 2))): done.append(str(way[-1][0])\",\n \"way. Input(s): start_x: start node x-coordinate start_y: start node y-coordinate start_dir: starting direction\",\n \"the image and their degree ''' img = image.copy() done, ways = [],\",\n \"== 2: x_, y_ = x-1, y+1 elif way == 3: x_, y_\",\n \"'), way \\\\ should be comprised between 0 and 8, and != 4.\",\n \"if the segment is terminal return_simple_ways: if True, compute the Douglas-Peucker simple itinerary\",\n \"way == 1: x_, y_ = x-1, y elif way == 2: x_,\",\n \"on the way. Input(s): start_x: start node x-coordinate start_y: start node y-coordinate start_dir:\",\n \"',' + str(way) + '), way \\\\ should be comprised between 0 and\",\n \"np.zeros(image.shape) for ind, row in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid\",\n \"+ ',' + str(y) + ',' + str(way) + '), way \\\\ should\",\n \"{0: [1, 3], 2: [1, 5], 6: [3, 7], 8: [5, 7]} new_address\",\n \"ind, address in df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address'] =\",\n \"direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active: for wrong_path\",\n \"= avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address'] = new_addresses df['degree'] = new_degree return\",\n \"int, way: int): if way == 0: x_, y_ = x-1, y-1 elif\",\n \"the number of non-zero locations equals 2, add this to our list of\",\n \"Input(s): df_nodes: list of nodes image: skeletonized image of the road network min_length:\",\n \"of the road network image to a wired model. Input(s): road_network: black and\",\n \"nodes_grid else: return ways, nodes_grid def thinImage(image: np.ndarray, image_name: str, export_file_path: str, exportPNG:\",\n \"new_addresses df['degree'] = new_degree return df def avoidDiagonalEdges(address: list, direction: int = None):\",\n \"<= min_length) and ((node['degree'] == 2) or (degree == 2))): done.append(str(way[-1][0]) + '_'\",\n \"= True direction = 8-start_dir while not(end): if x > 0 and y\",\n \"= 500000000 def skeletonize(road_network: np.ndarray, path: str = \\\"workshop/vectorized.png\\\", largest_component: bool = False):\",\n \"noTurnBack(direction) wrong_paths_active = True if nodes_grid[x, y]: end = True direction = 8-start_dir\",\n \"vectorized, export_file_path) elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if geoloc: if exportJSON: project_name\",\n \"skeleton image. Input(s): image: skeletonized image Output(s): nodes: array of nodes coordinates (x,\",\n \"que pour le format JSON actuellement.') else: simple_segments_JSON = simple_segments if exportJSON: with\",\n \"x-coordinate start_y: start node y-coordinate start_dir: starting direction ({0, 1, 2, 3, -,\",\n \"> 0 and r < image.shape[0]-1 and c < image.shape[1]-1: # Extract an\",\n \"each couple of nodes vectorized: skeletonized image of the road network out_path: the\",\n \"= nodes_grid.astype('int') for ind, node in df_nodes.iterrows(): for direct in node['address']: code =\",\n \"Find row and column locations that are non-zero (rows, cols) = np.nonzero(img) nodes,\",\n \"+ str(direct) if not(code in done): way, last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct,\",\n \"way in ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid\",\n \"Thinning/skeletonization of the road network image to a wired model. Input(s): road_network: black\",\n \"df_nodes.copy() new_addresses, new_degree = [], [] for ind, address in df['address'].iteritems(): new_address =\",\n \"image.shape[1]-1: # Extract an 8-connected neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1,\",\n \"direction = start_dir x, y = start_x, start_y assert image[x, y] != 0,\",\n \"simple itinerary of each segmenty) ways: list of segments, containing all the pixels\",\n \"in df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address'] = new_addresses df['degree']\",\n \"> 0 and c > 0 and r < image.shape[0]-1 and c <\",\n \"de calculer la géolocalisation de son réseau filaire\\\".format(image_name)) simple_segments_JSON = simple_segments else: print('La\",\n \"way = [(x, y)] # First iteration new_x, new_y = absoluteWay(x, y, direction)\",\n \"of the skeletonized image Output(s): way: list of pixel coordinates on the way\",\n \"< image.shape[0]-1 and y < image.shape[1]-1: # Extract an 8-connected neighbourhood (row_neigh, col_neigh)\",\n \"(8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active: for wrong_path in wrong_paths:\",\n \"way between each couple of nodes vectorized: skeletonized image of the road network\",\n \"# Convert into a single 1D array and check for non-zero locations try:\",\n \"img = image.copy() done, ways = [], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid =\",\n \"print(x, y, image.shape, ) raise AssertionError() # If the number of non-zero locations\",\n \"y_ = x-1, y-1 elif way == 1: x_, y_ = x-1, y\",\n \"[3, 7], 8: [5, 7]} new_address = [] for r in right: if\",\n \"vectorized, min_length = 15, return_simple_ways = False) simple_segments = [] if exportPNG: toPNG(full_segments,\",\n \"= [] for point in segment: coords.append((point[1], point[0])) draw.line(coords, fill = 'black', width=0)\",\n \"fonctionne que pour le format JSON actuellement.') else: simple_segments_JSON = simple_segments if exportJSON:\",\n \"0) w.field('streetname', 'C', 41, 0) w.field('note', 'C', 32, 0) for i in range(len(simple_ways)):\",\n \"pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree': degree, 'address': addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes\",\n \"as data: data = json.load(data) M = np.asarray(data['M']) simple_segments_JSON = [] for segment\",\n \"'ERROR: start point is not white' end = False way = [(x, y)]\",\n \"and != 4. x, y and way should be of type int.') return\",\n \"'C', 1, 0) w.field('gid', 'N', 11, 0) w.field('streetname', 'C', 41, 0) w.field('note', 'C',\",\n \"white) path: path where the skeletonized image should be saved largest_component: if True,\",\n \"# Convert into a single 1D array and check for non-zero locations pix_neighbourhood\",\n \"500000000 def skeletonize(road_network: np.ndarray, path: str = \\\"workshop/vectorized.png\\\", largest_component: bool = False): '''\",\n \"r in address: new_address.append(r) for d in diagonal.keys(): if d in address: if\",\n \"str(node['x']) + '_' + str(node['y']) + '_' + str(direct) if not(code in done):\",\n \"df['address'] = new_addresses df['degree'] = new_degree return df def avoidDiagonalEdges(address: list, direction: int\",\n \"+ '_' + str(way[-1][1]) + '_' + str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways =\",\n \"len(degree) < 0: return [], [], np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0], 'y':\",\n \"y > 0 and x < image.shape[0]-1 and y < image.shape[1]-1: # Extract\",\n \"new_y = absoluteWay(x, y, direction) assert image[new_x, new_y] != 0, 'ERROR: 2nd point\",\n \"installer Potrace: \\\\n', ' brew install potrace\\\\n') if exportPNG: png_path = export_file_path else:\",\n \"bitmap image from the road network. Input(s): segments: list of segments, containing all\",\n \"the skeletonized image should be saved largest_component: if True, only the largest road\",\n \"nodes_grid = np.zeros(image.shape) for ind, row in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] =\",\n \"skeletonized image of the road network min_length: min segment length if the segment\",\n \"img = image.copy() # Find row and column locations that are non-zero (rows,\",\n \"def findNodes(image: np.ndarray): ''' Find the nodes in the road network skeleton image.\",\n \"thinImage(image: np.ndarray, image_name: str, export_file_path: str, exportPNG: bool = False, exportJSON: bool =\",\n \"new_address.append(r) for d in diagonal.keys(): if d in address: if not(diagonal[d][0] in address)\",\n \"df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for ind, row in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']]\",\n \"white' end = False way = [(x, y)] # First iteration new_x, new_y\",\n \"= findNodes(vectorized) if len(degree) < 0: return [], [], np.zeros((image.shape[1], image.shape[0])) df_nodes =\",\n \"elif direction == 1: wrong_paths = [6, 8] elif direction == 2: wrong_paths\",\n \"== True)[0] last_ds = [wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set != 4] last_ds.append(direction_set) direction_set\",\n \"True)[0] direction_set = direction_set[direction_set != 4] addresses.append(direction_set) nodes = np.asarray(nodes) return nodes, degree,\",\n \"os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png', 'svg') os.system('convert ' +\",\n \"road network image to a wired model. Input(s): road_network: black and white image\",\n \"géolocalisation de son réseau filaire\\\".format(image_name)) simple_segments_JSON = simple_segments else: print('La géolocalisation du réseau\",\n \"= np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r, r+1])) # Cast to int to index\",\n \"str, exportPNG: bool = False, exportJSON: bool = False, exportSVG: bool = False,\",\n \"min_length: int = 30, return_simple_ways: bool = True): ''' Find all the road\",\n \"2) or (degree == 2))): done.append(str(way[-1][0]) + '_' + str(way[-1][1]) + '_' +\",\n \"True) else: full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = False)\",\n \"def avoidDiagonalEdges(address: list, direction: int = None): right, diagonal = [1, 3, 5,\",\n \"in segment: coords.append((point[1], point[0])) draw.line(coords, fill = 'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path):\",\n \"image: skeletonized image Output(s): nodes: array of nodes coordinates (x, y) degree: degrees\",\n \"diagonal[d]): new_address.append(d) else: new_address.append(d) return new_address def explorePath(start_x: int, start_y: int, start_dir: int,\",\n \"int to index into image col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int') # Convert into\",\n \"return [], [], np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree': degree,\",\n \"vectorized def findNodes(image: np.ndarray): ''' Find the nodes in the road network skeleton\",\n \"= False) simple_segments = [] if exportPNG: toPNG(full_segments, vectorized, export_file_path) elif exportSVG: toPNG(full_segments,\",\n \"until the next node, and stores the pixels on the way. Input(s): start_x:\",\n \"= np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y, y+1])) # Cast to int to index\",\n \"start_dir x, y = start_x, start_y assert image[x, y] != 0, 'ERROR: start\",\n \"are longer than a given length or non-terminal. Optionally, compute the Douglas-Peucker simple\",\n \"kept Output(s): vectorized: skeletonized image ''' assert len(road_network.shape) == 2, 'ERROR: road_network must\",\n \"nodes_grid = nodes_grid.astype('int') for ind, node in df_nodes.iterrows(): for direct in node['address']: code\",\n \"[2, 8] elif direction == 5: wrong_paths = [0, 6] elif direction ==\",\n \"0: wrong_paths = [5, 7] elif direction == 1: wrong_paths = [6, 8]\",\n \"noTurnBack(direction: int): wrong_paths = [] if direction == 0: wrong_paths = [5, 7]\",\n \"largest_component: try: _, labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:]\",\n \"np.asarray(data['M']) simple_segments_JSON = [] for segment in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:,\",\n \"the next node, and stores the pixels on the way. Input(s): start_x: start\",\n \"except: print(x, y, image.shape, ) raise AssertionError() # If the number of non-zero\",\n \"if d in address: if not(diagonal[d][0] in address) and not(diagonal[d][1] in address): if\",\n \"if len(direction_set) != 1: end = True break direction = direction_set[0] new_x, new_y\",\n \"utils.utils import * from utils.match import toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network: np.ndarray,\",\n \"[], [] for (r,c) in zip(rows, cols): if r > 0 and c\",\n \"= x-1, y+1 elif way == 3: x_, y_ = x, y-1 elif\",\n \"wrong_paths_active: for wrong_path in wrong_paths: direction_set = direction_set[direction_set != wrong_path] wrong_paths_active = False\",\n \"0) w.field('gid', 'N', 11, 0) w.field('streetname', 'C', 41, 0) w.field('note', 'C', 32, 0)\",\n \"if way == 0: x_, y_ = x-1, y-1 elif way == 1:\",\n \"[(x, y)] # First iteration new_x, new_y = absoluteWay(x, y, direction) assert image[new_x,\",\n \"full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = False) simple_segments =\",\n \"image: skeletonized image of the road network nodes_grid: grid of the nodes of\",\n \"= True return way, direction, nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length:\",\n \"a bitmap image from the road network. Input(s): segments: list of segments, containing\",\n \"last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active: for wrong_path in wrong_paths: direction_set\",\n \"simple_ways, ways, nodes_grid else: return ways, nodes_grid def thinImage(image: np.ndarray, image_name: str, export_file_path:\",\n \"non-zero (rows, cols) = np.nonzero(img) nodes, degree, addresses = [], [], [] for\",\n \"simple_segments = [] if exportPNG: toPNG(full_segments, vectorized, export_file_path) elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop',\",\n \"df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address'] = new_addresses df['degree'] =\",\n \"non-zero locations equals 2, add this to our list of coordinates n_neighbours =\",\n \"= 0 if largest_component: try: _, labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA)\",\n \"if direction != None: if not((8-direction) in diagonal[d]): new_address.append(d) else: new_address.append(d) return new_address\",\n \"np.asarray(nodes) return nodes, degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy() new_addresses, new_degree\",\n \"y, y+1])) # Cast to int to index into image col_neigh, row_neigh =\",\n \"JSON actuellement.') else: simple_segments_JSON = simple_segments if exportJSON: with open(export_file_path.replace('png', 'json'), 'w') as\",\n \"min_length) and ((node['degree'] == 2) or (degree == 2))): done.append(str(way[-1][0]) + '_' +\",\n \"image: skeletonized image of the road network min_length: min segment length if the\",\n \"5], 6: [3, 7], 8: [5, 7]} new_address = [] for r in\",\n \"7]} new_address = [] for r in right: if r in address: new_address.append(r)\",\n \"[], [], [] for (r,c) in zip(rows, cols): if r > 0 and\",\n \"encore été calculée. Par conséquent, \\\\ il n'est pas possible de calculer la\",\n \"6: x_, y_ = x+1, y-1 elif way == 7: x_, y_ =\",\n \"'Warning: Skeletonization failed to apply largest_component = True param. Skipping.' cv2.imwrite(path, vectorized) return\",\n \"(2=endpoint, 4=crossroads of 3 streets, 5=crossroads of 4 streets, etc.) addresses: directions of\",\n \"Potrace via le terminal.\\\\n\\\") print('Pour installer Homebrew:\\\\n', ' /usr/bin/ruby -e \\\"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\\\"')\",\n \"to apply largest_component = True param. Skipping.' cv2.imwrite(path, vectorized) return vectorized def findNodes(image:\",\n \"y, image.shape, ) raise AssertionError() # If the number of non-zero locations equals\",\n \"0 if largest_component: try: _, labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats\",\n \"de son réseau filaire\\\".format(image_name)) simple_segments_JSON = simple_segments else: print('La géolocalisation du réseau filaire\",\n \"the pixels on the way. Input(s): start_x: start node x-coordinate start_y: start node\",\n \"min_length: min segment length if the segment is terminal return_simple_ways: if True, compute\",\n \"ind, node in df_nodes.iterrows(): for direct in node['address']: code = str(node['x']) + '_'\",\n \"y+1 else: raise AttributeError('Parameters invalid: (' + str(x) + ',' + str(y) +\",\n \"and y < image.shape[1]-1: # Extract an 8-connected neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1,\",\n \"= os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png', 'svg') os.system('convert ' + png_path + pnm_path)\",\n \"nodes_grid def thinImage(image: np.ndarray, image_name: str, export_file_path: str, exportPNG: bool = False, exportJSON:\",\n \"the way. Input(s): start_x: start node x-coordinate start_y: start node y-coordinate start_dir: starting\",\n \"Input(s): start_x: start node x-coordinate start_y: start node y-coordinate start_dir: starting direction ({0,\",\n \"way == 0: x_, y_ = x-1, y-1 elif way == 1: x_,\",\n \"= np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active: for wrong_path in wrong_paths: direction_set = direction_set[direction_set\",\n \"image.shape[0]-1 and y < image.shape[1]-1: # Extract an 8-connected neighbourhood (row_neigh, col_neigh) =\",\n \"project_name, 'match' , 'primary', image_name + '.json')) as data: data = json.load(data) M\",\n \"equals 2, add this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set\",\n \"> 100] = 255 vectorized[vectorized <= 100] = 0 if largest_component: try: _,\",\n \"x-1, y-1 elif way == 1: x_, y_ = x-1, y elif way\",\n \"road network skeleton image. Input(s): image: skeletonized image Output(s): nodes: array of nodes\",\n \"or non-terminal. Optionally, compute the Douglas-Peucker simple itinerary of each segment and return\",\n \"of each segment and return it. Input(s): df_nodes: list of nodes image: skeletonized\",\n \"calculée. Par conséquent, \\\\ il n'est pas possible de calculer la géolocalisation de\",\n \"image of the road network out_path: the path, where the output bitmap image\",\n \"and ((node['degree'] == 2) or (degree == 2))): done.append(str(way[-1][0]) + '_' + str(way[-1][1])\",\n \"if exportJSON: with open(export_file_path.replace('png', 'json'), 'w') as outfile: json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png',\",\n \"import Image, ImageDraw from utils.utils import * from utils.match import toLatLon Image.MAX_IMAGE_PIXELS =\",\n \"new_address def explorePath(start_x: int, start_y: int, start_dir: int, image: np.ndarray, nodes_grid: np.ndarray): '''\",\n \"col_neigh = col_neigh.astype('int') row_neigh = row_neigh.astype('int') # Convert into a single 1D array\",\n \"le terminal.\\\\n\\\") print('Pour installer Homebrew:\\\\n', ' /usr/bin/ruby -e \\\"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\\\"') print('Pour installer\",\n \"0 and 8, and != 4. x, y and way should be of\",\n \"direction ({0, 1, 2, 3, -, 5, 6, 7, 8}) image: skeletonized image\",\n \"in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid = nodes_grid.astype('int') for ind,\",\n \"255/2] = 0 road_network[road_network >= 255/2] = 255 vectorized = skeletonize(road_network, largest_component =\",\n \"}) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] != 3] if\",\n \"for ind, row in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid =\",\n \"bool = False, exportSVG: bool = False, exportSHP: bool = False, geoloc: bool\",\n \"and y > 0 and x < image.shape[0]-1 and y < image.shape[1]-1: #\",\n \"np.array([r-1, r, r+1])) # Cast to int to index into image col_neigh =\",\n \"== 3: wrong_paths = [2, 8] elif direction == 5: wrong_paths = [0,\",\n \"elif way == 8: x_, y_ = x+1, y+1 else: raise AttributeError('Parameters invalid:\",\n \"the segment is terminal return_simple_ways: if True, compute the Douglas-Peucker simple itinerary of\",\n \"the 2nd node nodes_grid[x, y]: degree of the arrival node ''' def absoluteWay(x:\",\n \"[5, 7] elif direction == 1: wrong_paths = [6, 8] elif direction ==\",\n \"None): right, diagonal = [1, 3, 5, 7], {0: [1, 3], 2: [1,\",\n \"bitmap = Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for segment in segments: coords = []\",\n \"col_neigh].transpose().ravel() != 0 except: print(x, y, image.shape, ) raise AssertionError() # If the\",\n \"# Coded by <NAME> https://github.com/RPetitpierre # For Bibliothèque nationale de France (BnF) import\",\n \"réseau filaire\\\".format(image_name)) simple_segments_JSON = simple_segments else: print('La géolocalisation du réseau filaire ne fonctionne\",\n \"jamais utilisé cette commande, \\\\ installez d'abord Homebrew, ImageMagick et Potrace via le\",\n \"direction == 6: wrong_paths = [1, 5] elif direction == 7: wrong_paths =\",\n \"way.append((new_x, new_y)) x, y = new_x, new_y if nodes_grid[x, y]: end = True\",\n \"def explorePath(start_x: int, start_y: int, start_dir: int, image: np.ndarray, nodes_grid: np.ndarray): ''' Follow\",\n \"' -s -o ' + svg_path) return simple_segments, full_segments, nodes_grid def toPNG(segments: list,\",\n \"!= (8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active: for wrong_path in\",\n \"the nodes found in the image and their degree ''' img = image.copy()\",\n \"an 8-connected neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r, r+1])) #\",\n \"d in address: if not(diagonal[d][0] in address) and not(diagonal[d][1] in address): if direction\",\n \"= new_x, new_y if nodes_grid[x, y]: end = True else: end = True\",\n \"image[row_neigh, col_neigh].transpose().ravel() != 0 except: print(x, y, image.shape, ) raise AssertionError() # If\",\n \"df_nodes[df_nodes['degree'] != 3] if (exportJSON or exportSHP): simple_segments, full_segments, nodes_grid = findSegments(df_nodes, vectorized,\",\n \"pd.DataFrame): df = df_nodes.copy() new_addresses, new_degree = [], [] for ind, address in\",\n \"({0, 1, 2, 3, -, 5, 6, 7, 8}) image: skeletonized image of\",\n \"address) and not(diagonal[d][1] in address): if direction != None: if not((8-direction) in diagonal[d]):\",\n \"else: return ways, nodes_grid def thinImage(image: np.ndarray, image_name: str, export_file_path: str, exportPNG: bool\",\n \"/usr/bin/ruby -e \\\"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\\\"') print('Pour installer ImageMagick:\\\\n', ' brew install imagemagick') print('Pour\",\n \"if largest_component: try: _, labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats =\",\n \"# Find row and column locations that are non-zero (rows, cols) = np.nonzero(img)\",\n \"network. Keep the ones that are longer than a given length or non-terminal.\",\n \"simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid else: return ways, nodes_grid def thinImage(image: np.ndarray,\",\n \"in white) path: path where the skeletonized image should be saved largest_component: if\",\n \"return_simple_ways = False) simple_segments = [] if exportPNG: toPNG(full_segments, vectorized, export_file_path) elif exportSVG:\",\n \"single 1D array and check for non-zero locations try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel()\",\n \"n'avez jamais utilisé cette commande, \\\\ installez d'abord Homebrew, ImageMagick et Potrace via\",\n \"== 8: wrong_paths = [1, 3] return wrong_paths direction = start_dir x, y\",\n \"nodes image: skeletonized image of the road network min_length: min segment length if\",\n \"2:3].transpose()).tolist()) except: print(\\\"La géolocalisation de l'image {} n'a pas encore été calculée. Par\",\n \"= explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way) <= min_length) and ((node['degree'] ==\",\n \"Skipping.' cv2.imwrite(path, vectorized) return vectorized def findNodes(image: np.ndarray): ''' Find the nodes in\",\n \"image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid else: return ways, nodes_grid def thinImage(image:\",\n \"= row_neigh.astype('int') # Convert into a single 1D array and check for non-zero\",\n \"6] elif direction == 6: wrong_paths = [1, 5] elif direction == 7:\",\n \"for (r,c) in zip(rows, cols): if r > 0 and c > 0\",\n \"the way between each couple of nodes vectorized: skeletonized image of the road\",\n \"image: np.ndarray, nodes_grid: np.ndarray): ''' Follow the path from one given start node\",\n \"> 0 and x < image.shape[0]-1 and y < image.shape[1]-1: # Extract an\",\n \"w = shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0) w.field('gid', 'N', 11, 0) w.field('streetname', 'C',\",\n \"in address: if not(diagonal[d][0] in address) and not(diagonal[d][1] in address): if direction !=\",\n \"return simple_ways, ways, nodes_grid else: return ways, nodes_grid def thinImage(image: np.ndarray, image_name: str,\",\n \"n'est pas possible de calculer la géolocalisation de son réseau filaire\\\".format(image_name)) simple_segments_JSON =\",\n \"def toPNG(segments: list, vectorized: np.ndarray, out_path: str): ''' Save a given set of\",\n \"starting direction ({0, 1, 2, 3, -, 5, 6, 7, 8}) image: skeletonized\",\n \"segment and return it Output(s): (Optional)(simple_ways: the Douglas-Peucker simple itinerary of each segmenty)\",\n \"with open(export_file_path.replace('png', 'json'), 'w') as outfile: json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True)\",\n \"1, 0) w.field('gid', 'N', 11, 0) w.field('streetname', 'C', 41, 0) w.field('note', 'C', 32,\",\n \"= x, y-1 elif way == 5: x_, y_ = x, y+1 elif\",\n \"start_x: start node x-coordinate start_y: start node y-coordinate start_dir: starting direction ({0, 1,\",\n \"7, 8}) image: skeletonized image of the road network nodes_grid: grid of the\",\n \"df = df_nodes.copy() new_addresses, new_degree = [], [] for ind, address in df['address'].iteritems():\",\n \"new_y wrong_paths = noTurnBack(direction) wrong_paths_active = True if nodes_grid[x, y]: end = True\",\n \"cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized > 100] = 255 vectorized[vectorized <=\",\n \"3: wrong_paths = [2, 8] elif direction == 5: wrong_paths = [0, 6]\",\n \"= export_file_path.replace('png', 'svg') os.system('convert ' + png_path + pnm_path) os.system('potrace ' + pnm_path\",\n \"import pandas as pd import shapefile as shp from skimage.measure import approximate_polygon from\",\n \"np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y, y+1])) # Cast to int to index into\",\n \"done, ways = [], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for ind,\",\n \"road_network[road_network < 254] = 0 road_network[road_network < 255/2] = 0 road_network[road_network >= 255/2]\",\n \"min_length = 15, return_simple_ways = True) else: full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length\",\n \"segment: coords.append((point[1], point[0])) draw.line(coords, fill = 'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path): w\",\n \"numpy as np import pandas as pd import shapefile as shp from skimage.measure\",\n \"if direction == 0: wrong_paths = [5, 7] elif direction == 1: wrong_paths\",\n \"into image col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int') # Convert into a single 1D\",\n \"il n'est pas possible de calculer la géolocalisation de son réseau filaire\\\".format(image_name)) simple_segments_JSON\",\n \"in node['address']: code = str(node['x']) + '_' + str(node['y']) + '_' + str(direct)\",\n \"segments: coords = [] for point in segment: coords.append((point[1], point[0])) draw.line(coords, fill =\",\n \"non-zero locations pix_neighbourhood = img[row_neigh, col_neigh].ravel() != 0 # If the number of\",\n \"in the network. Keep the ones that are longer than a given length\",\n \"toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG: print(\\\"\\\\nAvertissement: Si vous n'avez jamais utilisé cette\",\n \"[3, 7] elif direction == 3: wrong_paths = [2, 8] elif direction ==\",\n \"as np import pandas as pd import shapefile as shp from skimage.measure import\",\n \"if nodes_grid[x, y]: end = True else: end = True return way, direction,\",\n \"segments in the network. Keep the ones that are longer than a given\",\n \"else: raise AttributeError('Parameters invalid: (' + str(x) + ',' + str(y) + ','\",\n \"= False way = [(x, y)] # First iteration new_x, new_y = absoluteWay(x,\",\n \"if len(degree) < 0: return [], [], np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0],\",\n \"\\\\ should be comprised between 0 and 8, and != 4. x, y\",\n \"False, exportSHP: bool = False, geoloc: bool = False): assert (exportPNG or exportJSON\",\n \"direction_set = direction_set[direction_set != wrong_path] wrong_paths_active = False if len(direction_set) != 1: end\",\n \"coordinates on the way direction: last direction to reach the 2nd node nodes_grid[x,\",\n \"len(direction_set) != 1: end = True break direction = direction_set[0] new_x, new_y =\",\n \"str(way[-1][1]) + '_' + str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways = [] for way\",\n \"nodes (2=endpoint, 4=crossroads of 3 streets, 5=crossroads of 4 streets, etc.) addresses: directions\",\n \"y_ = x+1, y-1 elif way == 7: x_, y_ = x+1, y\",\n \"-o ' + svg_path) return simple_segments, full_segments, nodes_grid def toPNG(segments: list, vectorized: np.ndarray,\",\n \"new_address.append(d) return new_address def explorePath(start_x: int, start_y: int, start_dir: int, image: np.ndarray, nodes_grid:\",\n \"only the largest road network component will be kept Output(s): vectorized: skeletonized image\",\n \"df_nodes = cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] != 3] if (exportJSON or exportSHP): simple_segments,\",\n \"filaire ne fonctionne que pour le format JSON actuellement.') else: simple_segments_JSON = simple_segments\",\n \"new_degree = [], [] for ind, address in df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address)\",\n \"= thinning.guo_hall_thinning(img) vectorized[vectorized > 100] = 255 vectorized[vectorized <= 100] = 0 if\",\n \"addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy() new_addresses, new_degree = [], [] for\",\n \"next node, and stores the pixels on the way. Input(s): start_x: start node\",\n \"np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active: for wrong_path in wrong_paths: direction_set = direction_set[direction_set !=\",\n \"done.append(str(way[-1][0]) + '_' + str(way[-1][1]) + '_' + str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways\",\n \"0, 'ERROR: 2nd point is not white' way.append((new_x, new_y)) x, y = new_x,\",\n \"in the image and their degree ''' img = image.copy() done, ways =\",\n \"is not white' end = False way = [(x, y)] # First iteration\",\n \"else: simple_segments_JSON = simple_segments if exportJSON: with open(export_file_path.replace('png', 'json'), 'w') as outfile: json.dump(simple_segments_JSON,\",\n \"'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path): w = shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0)\",\n \"[] if exportPNG: toPNG(full_segments, vectorized, export_file_path) elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if\",\n \"+ '), way \\\\ should be comprised between 0 and 8, and !=\",\n \"itinerary of each segmenty) ways: list of segments, containing all the pixels on\",\n \"np.ndarray, image_name: str, export_file_path: str, exportPNG: bool = False, exportJSON: bool = False,\",\n \"BackThen Maps # Coded by <NAME> https://github.com/RPetitpierre # For Bibliothèque nationale de France\",\n \"set of segments as a bitmap image from the road network. Input(s): segments:\",\n \"toShapefile(simple_ways, out_path): w = shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0) w.field('gid', 'N', 11, 0)\",\n \"img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized > 100] = 255\",\n \"if r > 0 and c > 0 and r < image.shape[0]-1 and\",\n \"array and check for non-zero locations pix_neighbourhood = img[row_neigh, col_neigh].ravel() != 0 #\",\n \"or (n_neighbours >= 4): nodes.append((r, c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood == True)[0] direction_set\",\n \"main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels == main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed to\",\n \"str(way) + '), way \\\\ should be comprised between 0 and 8, and\",\n \"= findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = True) else: full_segments, nodes_grid =\",\n \"stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels == main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed\",\n \"8-connected neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r, r+1])) # Cast\",\n \"np.ndarray): ''' Find the nodes in the road network skeleton image. Input(s): image:\",\n \"df_nodes = df_nodes[df_nodes['degree'] != 3] if (exportJSON or exportSHP): simple_segments, full_segments, nodes_grid =\",\n \"filaire\\\".format(image_name)) simple_segments_JSON = simple_segments else: print('La géolocalisation du réseau filaire ne fonctionne que\",\n \"skeletonized image Output(s): nodes: array of nodes coordinates (x, y) degree: degrees of\",\n \"6, 7, 8}) image: skeletonized image of the road network nodes_grid: grid of\",\n \"Find all the road segments in the network. Keep the ones that are\",\n \"la géolocalisation de son réseau filaire\\\".format(image_name)) simple_segments_JSON = simple_segments else: print('La géolocalisation du\",\n \"False, exportJSON: bool = False, exportSVG: bool = False, exportSHP: bool = False,\",\n \"pnm_path = os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png', 'svg') os.system('convert ' + png_path +\",\n \"int, image: np.ndarray, nodes_grid: np.ndarray): ''' Follow the path from one given start\",\n \"Save a given set of segments as a bitmap image from the road\",\n \"M[:, 2:3].transpose()).tolist()) except: print(\\\"La géolocalisation de l'image {} n'a pas encore été calculée.\",\n \"row in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid = nodes_grid.astype('int') for\",\n \"try: with open(os.path.join('save', project_name, 'match' , 'primary', image_name + '.json')) as data: data\",\n \"should be saved largest_component: if True, only the largest road network component will\",\n \"= shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0) w.field('gid', 'N', 11, 0) w.field('streetname', 'C', 41,\",\n \"exportSHP): simple_segments, full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = True)\",\n \"7: wrong_paths = [0, 2] elif direction == 8: wrong_paths = [1, 3]\",\n \"directions of the crossing roads, with regard to the node ''' img =\",\n \"Par conséquent, \\\\ il n'est pas possible de calculer la géolocalisation de son\",\n \"if True, compute the Douglas-Peucker simple itinerary of each segment and return it\",\n \"'thin.png')) if geoloc: if exportJSON: project_name = getProjectName() try: with open(os.path.join('save', project_name, 'match'\",\n \">= 255/2] = 255 vectorized = skeletonize(road_network, largest_component = True) nodes, degree, addresses\",\n \"df_nodes: list of nodes image: skeletonized image of the road network min_length: min\",\n \"json.load(data) M = np.asarray(data['M']) simple_segments_JSON = [] for segment in simple_segments: s =\",\n \"pixels on the way between each couple of nodes vectorized: skeletonized image of\",\n \"row_neigh = col_neigh.astype('int'), row_neigh.astype('int') # Convert into a single 1D array and check\",\n \"findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = False) simple_segments = [] if exportPNG:\",\n \"Keep the ones that are longer than a given length or non-terminal. Optionally,\",\n \"Douglas-Peucker simple itinerary of each segment and return it Output(s): (Optional)(simple_ways: the Douglas-Peucker\",\n \"1D array and check for non-zero locations try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() !=\",\n \"int): if way == 0: x_, y_ = x-1, y-1 elif way ==\",\n \"coords.append((point[1], point[0])) draw.line(coords, fill = 'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path): w =\",\n \"(x, y) degree: degrees of the nodes (2=endpoint, 4=crossroads of 3 streets, 5=crossroads\",\n \"y elif way == 2: x_, y_ = x-1, y+1 elif way ==\",\n \"os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png', 'svg') os.system('convert ' + png_path + pnm_path) os.system('potrace\",\n \"np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist()) except: print(\\\"La géolocalisation de l'image {}\",\n \"elif way == 2: x_, y_ = x-1, y+1 elif way == 3:\",\n \"x_, y_ def noTurnBack(direction: int): wrong_paths = [] if direction == 0: wrong_paths\",\n \"\\\"workshop/vectorized.png\\\", largest_component: bool = False): ''' Thinning/skeletonization of the road network image to\",\n \"a given set of segments as a bitmap image from the road network.\",\n \"node ''' def absoluteWay(x: int, y: int, way: int): if way == 0:\",\n \"= df_nodes.copy() new_addresses, new_degree = [], [] for ind, address in df['address'].iteritems(): new_address\",\n \"= image.copy() done, ways = [], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape)\",\n \"if not(code in done): way, last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid)\",\n \"= 255 vectorized[vectorized <= 100] = 0 if largest_component: try: _, labels, stats,\",\n \"img[row_neigh, col_neigh].ravel() != 0 # If the number of non-zero locations equals 2,\",\n \"Optionally, compute the Douglas-Peucker simple itinerary of each segment and return it. Input(s):\",\n \"print('La géolocalisation du réseau filaire ne fonctionne que pour le format JSON actuellement.')\",\n \"ne fonctionne que pour le format JSON actuellement.') else: simple_segments_JSON = simple_segments if\",\n \"= new_x, new_y wrong_paths = noTurnBack(direction) wrong_paths_active = True if nodes_grid[x, y]: end\",\n \"largest_component = True) nodes, degree, addresses = findNodes(vectorized) if len(degree) < 0: return\",\n \"[6, 8] elif direction == 2: wrong_paths = [3, 7] elif direction ==\",\n \"image.copy() # Find row and column locations that are non-zero (rows, cols) =\",\n \"= df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] != 3] if (exportJSON or\",\n \"min_length = 15, return_simple_ways = False) simple_segments = [] if exportPNG: toPNG(full_segments, vectorized,\",\n \"= direction_set[0] new_x, new_y = absoluteWay(x, y, direction) way.append((new_x, new_y)) x, y =\",\n \"réseau filaire ne fonctionne que pour le format JSON actuellement.') else: simple_segments_JSON =\",\n \"last_ds.append(direction_set) if wrong_paths_active: for wrong_path in wrong_paths: direction_set = direction_set[direction_set != wrong_path] wrong_paths_active\",\n \"white image of the road network (streets in white) path: path where the\",\n \"of type int.') return x_, y_ def noTurnBack(direction: int): wrong_paths = [] if\",\n \"addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] != 3]\",\n \"(col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r, r+1])) # Cast to int\",\n \"road_network = image.copy() road_network[road_network < 254] = 0 road_network[road_network < 255/2] = 0\",\n \"> 0 and y > 0 and x < image.shape[0]-1 and y <\",\n \"7], {0: [1, 3], 2: [1, 5], 6: [3, 7], 8: [5, 7]}\",\n \"bool = False, exportSHP: bool = False, geoloc: bool = False): assert (exportPNG\",\n \"'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png', 'svg') os.system('convert ' + png_path\",\n \"= new_degree return df def avoidDiagonalEdges(address: list, direction: int = None): right, diagonal\",\n \"a wired model. Input(s): road_network: black and white image of the road network\",\n \"[1, 3], 2: [1, 5], 6: [3, 7], 8: [5, 7]} new_address =\",\n \"degrees of the nodes (2=endpoint, 4=crossroads of 3 streets, 5=crossroads of 4 streets,\",\n \"and 8, and != 4. x, y and way should be of type\",\n \"-, 5, 6, 7, 8}) image: skeletonized image of the road network nodes_grid:\",\n \"(road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized > 100] = 255 vectorized[vectorized <= 100]\",\n \"1: x_, y_ = x-1, y elif way == 2: x_, y_ =\",\n \"iteration new_x, new_y = absoluteWay(x, y, direction) assert image[new_x, new_y] != 0, 'ERROR:\",\n \"stores the pixels on the way. Input(s): start_x: start node x-coordinate start_y: start\",\n \"x-1, y elif way == 2: x_, y_ = x-1, y+1 elif way\",\n \"pd import shapefile as shp from skimage.measure import approximate_polygon from PIL import Image,\",\n \"== 5: wrong_paths = [0, 6] elif direction == 6: wrong_paths = [1,\",\n \"= start_dir x, y = start_x, start_y assert image[x, y] != 0, 'ERROR:\",\n \"''), image_name)) if exportSVG: print(\\\"\\\\nAvertissement: Si vous n'avez jamais utilisé cette commande, \\\\\",\n \"= True) else: full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways =\",\n \"_, labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component =\",\n \"= [5, 7] elif direction == 1: wrong_paths = [6, 8] elif direction\",\n \"np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood == True)[0] last_ds = [wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set\",\n \"new_addresses, new_degree = [], [] for ind, address in df['address'].iteritems(): new_address = avoidDiagonalEdges(address)\",\n \"way, direction, nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length: int = 30,\",\n \"in segments: coords = [] for point in segment: coords.append((point[1], point[0])) draw.line(coords, fill\",\n \"y_ def noTurnBack(direction: int): wrong_paths = [] if direction == 0: wrong_paths =\",\n \"neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y, y+1])) # Cast to\",\n \"not(diagonal[d][1] in address): if direction != None: if not((8-direction) in diagonal[d]): new_address.append(d) else:\",\n \"== 1: x_, y_ = x-1, y elif way == 2: x_, y_\",\n \"largest_component: if True, only the largest road network component will be kept Output(s):\",\n \"the Douglas-Peucker simple itinerary of each segmenty) ways: list of segments, containing all\",\n \"df['degree'] = new_degree return df def avoidDiagonalEdges(address: list, direction: int = None): right,\",\n \"vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized > 100] = 255 vectorized[vectorized <= 100] = 0\",\n \"export_file_path else: png_path = os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png',\",\n \"vectorized = (labels == main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed to apply largest_component =\",\n \"np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r, r+1])) # Cast to int to index into\",\n \"path from one given start node and direction until the next node, and\",\n \"!= 0, 'ERROR: start point is not white' end = False way =\",\n \"way: int): if way == 0: x_, y_ = x-1, y-1 elif way\",\n \"4. x, y and way should be of type int.') return x_, y_\",\n \"way == 2: x_, y_ = x-1, y+1 elif way == 3: x_,\",\n \"of each segmenty) ways: list of segments, containing all the pixels on the\",\n \"direction = 8-start_dir while not(end): if x > 0 and y > 0\",\n \"+ str(y) + ',' + str(way) + '), way \\\\ should be comprised\",\n \"= direction_set[direction_set != wrong_path] wrong_paths_active = False if len(direction_set) != 1: end =\",\n \"np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree': degree, 'address': addresses })\",\n \"it Output(s): (Optional)(simple_ways: the Douglas-Peucker simple itinerary of each segmenty) ways: list of\",\n \"2) or (n_neighbours >= 4): nodes.append((r, c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood == True)[0]\",\n \"return_simple_ways: if True, compute the Douglas-Peucker simple itinerary of each segment and return\",\n \"nodes vectorized: skeletonized image of the road network out_path: the path, where the\",\n \"open(os.path.join('save', project_name, 'match' , 'primary', image_name + '.json')) as data: data = json.load(data)\",\n \"list of segments, containing all the pixels on the way between each couple\",\n \"return_simple_ways: bool = True): ''' Find all the road segments in the network.\",\n \"= stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels == main_component).astype('uint8')*255 except: 'Warning: Skeletonization\",\n \"False, geoloc: bool = False): assert (exportPNG or exportJSON or exportSVG or exportSHP)\",\n \"0, 'ERROR: start point is not white' end = False way = [(x,\",\n \"to a wired model. Input(s): road_network: black and white image of the road\",\n \"nodes of the skeletonized image Output(s): way: list of pixel coordinates on the\",\n \"simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist()) except: print(\\\"La géolocalisation de l'image {} n'a pas\",\n \"coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood == True)[0] last_ds = [wrong_paths] last_ds.append(direction_set)\",\n \"nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid = nodes_grid.astype('int') for ind, node in df_nodes.iterrows(): for\",\n \"= True) nodes, degree, addresses = findNodes(vectorized) if len(degree) < 0: return [],\",\n \"locations pix_neighbourhood = img[row_neigh, col_neigh].ravel() != 0 # If the number of non-zero\",\n \"of 3 streets, 5=crossroads of 4 streets, etc.) addresses: directions of the crossing\",\n \"exportSVG: bool = False, exportSHP: bool = False, geoloc: bool = False): assert\",\n \"not(end): if x > 0 and y > 0 and x < image.shape[0]-1\",\n \"largest_component: bool = False): ''' Thinning/skeletonization of the road network image to a\",\n \"to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours == 2) or\",\n \"image_name)) if exportSVG: print(\\\"\\\\nAvertissement: Si vous n'avez jamais utilisé cette commande, \\\\ installez\",\n \"import shapefile as shp from skimage.measure import approximate_polygon from PIL import Image, ImageDraw\",\n \"Input(s): road_network: black and white image of the road network (streets in white)\",\n \"direction == 1: wrong_paths = [6, 8] elif direction == 2: wrong_paths =\",\n \"ind, row in df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid = nodes_grid.astype('int')\",\n \"np.where(pix_neighbourhood == True)[0] direction_set = direction_set[direction_set != 4] addresses.append(direction_set) nodes = np.asarray(nodes) return\",\n \"addresses = [], [], [] for (r,c) in zip(rows, cols): if r >\",\n \"y]: end = True direction = 8-start_dir while not(end): if x > 0\",\n \"list of pixel coordinates on the way direction: last direction to reach the\",\n \"= pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree': degree, 'address': addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True)\",\n \"'y': nodes[:,1], 'degree': degree, 'address': addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes)\",\n \"try: _, labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component\",\n \"= [1, 5] elif direction == 7: wrong_paths = [0, 2] elif direction\",\n \"Convert to B&W road_network = image.copy() road_network[road_network < 254] = 0 road_network[road_network <\",\n \"for ind, address in df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address']\",\n \"géolocalisation de l'image {} n'a pas encore été calculée. Par conséquent, \\\\ il\",\n \"code = str(node['x']) + '_' + str(node['y']) + '_' + str(direct) if not(code\",\n \"and x < image.shape[0]-1 and y < image.shape[1]-1: # Extract an 8-connected neighbourhood\",\n \"y] != 0, 'ERROR: start point is not white' end = False way\",\n \"direction to reach the 2nd node nodes_grid[x, y]: degree of the arrival node\",\n \"new_degree.append(len(new_address) + 1) df['address'] = new_addresses df['degree'] = new_degree return df def avoidDiagonalEdges(address:\",\n \"== 7: wrong_paths = [0, 2] elif direction == 8: wrong_paths = [1,\",\n \"of the nodes of the skeletonized image Output(s): way: list of pixel coordinates\",\n \"y elif way == 8: x_, y_ = x+1, y+1 else: raise AttributeError('Parameters\",\n \"coordinates (x, y) degree: degrees of the nodes (2=endpoint, 4=crossroads of 3 streets,\",\n \"wrong_paths_active = False if len(direction_set) != 1: end = True break direction =\",\n \"their degree ''' img = image.copy() done, ways = [], [] df_nodes =\",\n \"< image.shape[1]-1: # Extract an 8-connected neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x, x+1]),\",\n \"x_, y_ = x-1, y-1 elif way == 1: x_, y_ = x-1,\",\n \"image should be save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png')\",\n \"pas encore été calculée. Par conséquent, \\\\ il n'est pas possible de calculer\",\n \"point in segment: coords.append((point[1], point[0])) draw.line(coords, fill = 'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways,\",\n \"''' Follow the path from one given start node and direction until the\",\n \"AssertionError() # If the number of non-zero locations equals 2, add this to\",\n \"(exportPNG or exportJSON or exportSVG or exportSHP) # Convert to B&W road_network =\",\n \"network component will be kept Output(s): vectorized: skeletonized image ''' assert len(road_network.shape) ==\",\n \"given start node and direction until the next node, and stores the pixels\",\n \"the pixels on the way between each couple of nodes vectorized: skeletonized image\",\n \"[] if direction == 0: wrong_paths = [5, 7] elif direction == 1:\",\n \"0 except: print(x, y, image.shape, ) raise AssertionError() # If the number of\",\n \"First iteration new_x, new_y = absoluteWay(x, y, direction) assert image[new_x, new_y] != 0,\",\n \"way should be of type int.') return x_, y_ def noTurnBack(direction: int): wrong_paths\",\n \"model. Input(s): road_network: black and white image of the road network (streets in\",\n \"# For Bibliothèque nationale de France (BnF) import cv2, thinning, os import numpy\",\n \"from PIL import Image, ImageDraw from utils.utils import * from utils.match import toLatLon\",\n \"new_y = absoluteWay(x, y, direction) way.append((new_x, new_y)) x, y = new_x, new_y if\",\n \"from the road network. Input(s): segments: list of segments, containing all the pixels\",\n \"largest_component = True param. Skipping.' cv2.imwrite(path, vectorized) return vectorized def findNodes(image: np.ndarray): '''\",\n \"== 2, 'ERROR: road_network must be grayscale image' img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2))\",\n \"4] last_ds.append(direction_set) direction_set = direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set)\",\n \"index into image col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int') # Convert into a single\",\n \"1: end = True break direction = direction_set[0] new_x, new_y = absoluteWay(x, y,\",\n \"of the road network out_path: the path, where the output bitmap image should\",\n \"address): if direction != None: if not((8-direction) in diagonal[d]): new_address.append(d) else: new_address.append(d) return\",\n \"2nd node nodes_grid[x, y]: degree of the arrival node ''' def absoluteWay(x: int,\",\n \"be of type int.') return x_, y_ def noTurnBack(direction: int): wrong_paths = []\",\n \"+ ' -s -o ' + svg_path) return simple_segments, full_segments, nodes_grid def toPNG(segments:\",\n \"[1, 5], 6: [3, 7], 8: [5, 7]} new_address = [] for r\",\n \"a given length or non-terminal. Optionally, compute the Douglas-Peucker simple itinerary of each\",\n \"Douglas-Peucker simple itinerary of each segment and return it. Input(s): df_nodes: list of\",\n \"network. Input(s): segments: list of segments, containing all the pixels on the way\",\n \"+ str(way) + '), way \\\\ should be comprised between 0 and 8,\",\n \"6: wrong_paths = [1, 5] elif direction == 7: wrong_paths = [0, 2]\",\n \"assert image[new_x, new_y] != 0, 'ERROR: 2nd point is not white' way.append((new_x, new_y))\",\n \"x_, y_ = x-1, y elif way == 2: x_, y_ = x-1,\",\n \"width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path): w = shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0) w.field('gid',\",\n \"ImageMagick:\\\\n', ' brew install imagemagick') print('Pour installer Potrace: \\\\n', ' brew install potrace\\\\n')\",\n \"int = None): right, diagonal = [1, 3, 5, 7], {0: [1, 3],\",\n \"nodes[:,1], 'degree': degree, 'address': addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes\",\n \"= image.copy() # Find row and column locations that are non-zero (rows, cols)\",\n \"image' img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized > 100] =\",\n \"absoluteWay(x, y, direction) way.append((new_x, new_y)) x, y = new_x, new_y if nodes_grid[x, y]:\",\n \"x+1, y-1 elif way == 7: x_, y_ = x+1, y elif way\",\n \"image of the road network nodes_grid: grid of the nodes of the skeletonized\",\n \"of the road network nodes_grid: grid of the nodes of the skeletonized image\",\n \"= [] if exportPNG: toPNG(full_segments, vectorized, export_file_path) elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png'))\",\n \"== 3: x_, y_ = x, y-1 elif way == 5: x_, y_\",\n \"of segments as a bitmap image from the road network. Input(s): segments: list\",\n \"road network. Input(s): segments: list of segments, containing all the pixels on the\",\n \"this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood ==\",\n \"= \\\"workshop/vectorized.png\\\", largest_component: bool = False): ''' Thinning/skeletonization of the road network image\",\n \"export_file_path: str, exportPNG: bool = False, exportJSON: bool = False, exportSVG: bool =\",\n \"str(node['y']) + '_' + str(direct) if not(code in done): way, last_direct, degree =\",\n \"skeletonize(road_network, largest_component = True) nodes, degree, addresses = findNodes(vectorized) if len(degree) < 0:\",\n \"of nodes nodes_grid: image containing all the nodes found in the image and\",\n \"= True): ''' Find all the road segments in the network. Keep the\",\n \"of each segment and return it Output(s): (Optional)(simple_ways: the Douglas-Peucker simple itinerary of\",\n \"if not((8-direction) in diagonal[d]): new_address.append(d) else: new_address.append(d) return new_address def explorePath(start_x: int, start_y:\",\n \"y_ = x, y+1 elif way == 6: x_, y_ = x+1, y-1\",\n \"absoluteWay(x, y, direction) assert image[new_x, new_y] != 0, 'ERROR: 2nd point is not\",\n \"France (BnF) import cv2, thinning, os import numpy as np import pandas as\",\n \"n'a pas encore été calculée. Par conséquent, \\\\ il n'est pas possible de\",\n \"the road network out_path: the path, where the output bitmap image should be\",\n \"terminal.\\\\n\\\") print('Pour installer Homebrew:\\\\n', ' /usr/bin/ruby -e \\\"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\\\"') print('Pour installer ImageMagick:\\\\n',\",\n \"new_y if nodes_grid[x, y]: end = True else: end = True return way,\",\n \"elif direction == 3: wrong_paths = [2, 8] elif direction == 5: wrong_paths\",\n \"coords = [] for point in segment: coords.append((point[1], point[0])) draw.line(coords, fill = 'black',\",\n \"w.field('DeletionFlag', 'C', 1, 0) w.field('gid', 'N', 11, 0) w.field('streetname', 'C', 41, 0) w.field('note',\",\n \"in diagonal.keys(): if d in address: if not(diagonal[d][0] in address) and not(diagonal[d][1] in\",\n \"of nodes image: skeletonized image of the road network min_length: min segment length\",\n \"in address): if direction != None: if not((8-direction) in diagonal[d]): new_address.append(d) else: new_address.append(d)\",\n \"of segments, containing all the pixels on the way between each couple of\",\n \"5, 7], {0: [1, 3], 2: [1, 5], 6: [3, 7], 8: [5,\",\n \"the nodes in the road network skeleton image. Input(s): image: skeletonized image Output(s):\",\n \"= np.asarray(nodes) return nodes, degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy() new_addresses,\",\n \"{} n'a pas encore été calculée. Par conséquent, \\\\ il n'est pas possible\",\n \"== 0: x_, y_ = x-1, y-1 elif way == 1: x_, y_\",\n \"image and their degree ''' img = image.copy() done, ways = [], []\",\n \"between 0 and 8, and != 4. x, y and way should be\",\n \"path: path where the skeletonized image should be saved largest_component: if True, only\",\n \"!= 4] addresses.append(direction_set) nodes = np.asarray(nodes) return nodes, degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame):\",\n \"x, y = new_x, new_y wrong_paths = noTurnBack(direction) wrong_paths_active = True if nodes_grid[x,\",\n \"all the road segments in the network. Keep the ones that are longer\",\n \"''' img = image.copy() done, ways = [], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid\",\n \"possible de calculer la géolocalisation de son réseau filaire\\\".format(image_name)) simple_segments_JSON = simple_segments else:\",\n \"type int.') return x_, y_ def noTurnBack(direction: int): wrong_paths = [] if direction\",\n \"\\\\n', ' brew install potrace\\\\n') if exportPNG: png_path = export_file_path else: png_path =\",\n \"new_y)) x, y = new_x, new_y wrong_paths = noTurnBack(direction) wrong_paths_active = True if\",\n \"np.ndarray, min_length: int = 30, return_simple_ways: bool = True): ''' Find all the\",\n \"address: if not(diagonal[d][0] in address) and not(diagonal[d][1] in address): if direction != None:\",\n \"conséquent, \\\\ il n'est pas possible de calculer la géolocalisation de son réseau\",\n \"os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG: print(\\\"\\\\nAvertissement: Si vous n'avez jamais utilisé cette commande,\",\n \"are non-zero (rows, cols) = np.nonzero(img) nodes, degree, addresses = [], [], []\",\n \"2, add this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set =\",\n \"the network. Keep the ones that are longer than a given length or\",\n \"!= 1: end = True break direction = direction_set[0] new_x, new_y = absoluteWay(x,\",\n \"+ png_path + pnm_path) os.system('potrace ' + pnm_path + ' -s -o '\",\n \"elif direction == 7: wrong_paths = [0, 2] elif direction == 8: wrong_paths\",\n \"import numpy as np import pandas as pd import shapefile as shp from\",\n \"single 1D array and check for non-zero locations pix_neighbourhood = img[row_neigh, col_neigh].ravel() !=\",\n \"8-connected neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y, y+1])) # Cast\",\n \"' + png_path + pnm_path) os.system('potrace ' + pnm_path + ' -s -o\",\n \"df_nodes = pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree': degree, 'address': addresses }) df_nodes =\",\n \"of the nodes (2=endpoint, 4=crossroads of 3 streets, 5=crossroads of 4 streets, etc.)\",\n \"vectorized, min_length = 15, return_simple_ways = True) else: full_segments, nodes_grid = findSegments(df_nodes, vectorized,\",\n \"True): ''' Find all the road segments in the network. Keep the ones\",\n \"= [wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set != 4] last_ds.append(direction_set) direction_set = direction_set[direction_set !=\",\n \"y-1 elif way == 7: x_, y_ = x+1, y elif way ==\",\n \"x < image.shape[0]-1 and y < image.shape[1]-1: # Extract an 8-connected neighbourhood (row_neigh,\",\n \"from skimage.measure import approximate_polygon from PIL import Image, ImageDraw from utils.utils import *\",\n \"try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() != 0 except: print(x, y, image.shape, ) raise\",\n \"'degree': degree, 'address': addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes =\",\n \"' /usr/bin/ruby -e \\\"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\\\"') print('Pour installer ImageMagick:\\\\n', ' brew install imagemagick')\",\n \"-e \\\"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\\\"') print('Pour installer ImageMagick:\\\\n', ' brew install imagemagick') print('Pour installer\",\n \"actuellement.') else: simple_segments_JSON = simple_segments if exportJSON: with open(export_file_path.replace('png', 'json'), 'w') as outfile:\",\n \"the Douglas-Peucker simple itinerary of each segment and return it. Input(s): df_nodes: list\",\n \"assert (exportPNG or exportJSON or exportSVG or exportSHP) # Convert to B&W road_network\",\n \"that are non-zero (rows, cols) = np.nonzero(img) nodes, degree, addresses = [], [],\",\n \"or exportSVG or exportSHP) # Convert to B&W road_network = image.copy() road_network[road_network <\",\n \"invalid: (' + str(x) + ',' + str(y) + ',' + str(way) +\",\n \"findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length: int = 30, return_simple_ways: bool = True): '''\",\n \"in ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid else:\",\n \"int): wrong_paths = [] if direction == 0: wrong_paths = [5, 7] elif\",\n \"on the way between each couple of nodes nodes_grid: image containing all the\",\n \"exportJSON: with open(export_file_path.replace('png', 'json'), 'w') as outfile: json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''),\",\n \"7: x_, y_ = x+1, y elif way == 8: x_, y_ =\",\n \"png_path = os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png', 'svg') os.system('convert\",\n \"+ pnm_path) os.system('potrace ' + pnm_path + ' -s -o ' + svg_path)\",\n \"Output(s): (Optional)(simple_ways: the Douglas-Peucker simple itinerary of each segmenty) ways: list of segments,\",\n \"Follow the path from one given start node and direction until the next\",\n \"nodes coordinates (x, y) degree: degrees of the nodes (2=endpoint, 4=crossroads of 3\",\n \"wrong_paths = [5, 7] elif direction == 1: wrong_paths = [6, 8] elif\",\n \"toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network: np.ndarray, path: str = \\\"workshop/vectorized.png\\\", largest_component: bool\",\n \"= False, exportJSON: bool = False, exportSVG: bool = False, exportSHP: bool =\",\n \"= direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active: for\",\n \"!= None: if not((8-direction) in diagonal[d]): new_address.append(d) else: new_address.append(d) return new_address def explorePath(start_x:\",\n \"except: print(\\\"La géolocalisation de l'image {} n'a pas encore été calculée. Par conséquent,\",\n \"the way between each couple of nodes nodes_grid: image containing all the nodes\",\n \"segment is terminal return_simple_ways: if True, compute the Douglas-Peucker simple itinerary of each\",\n \"exportPNG: toPNG(full_segments, vectorized, export_file_path) elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if geoloc: if\",\n \"for point in segment: coords.append((point[1], point[0])) draw.line(coords, fill = 'black', width=0) bitmap.save(out_path) def\",\n \"return way, direction, nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length: int =\",\n \"and return it. Input(s): df_nodes: list of nodes image: skeletonized image of the\",\n \"Maps # Coded by <NAME> https://github.com/RPetitpierre # For Bibliothèque nationale de France (BnF)\",\n \"= [0, 6] elif direction == 6: wrong_paths = [1, 5] elif direction\",\n \"pas possible de calculer la géolocalisation de son réseau filaire\\\".format(image_name)) simple_segments_JSON = simple_segments\",\n \"5: x_, y_ = x, y+1 elif way == 6: x_, y_ =\",\n \"simple_segments else: print('La géolocalisation du réseau filaire ne fonctionne que pour le format\",\n \"image to a wired model. Input(s): road_network: black and white image of the\",\n \"our list of coordinates n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours == 2) or (n_neighbours\",\n \"8-start_dir while not(end): if x > 0 and y > 0 and x\",\n \"Si vous n'avez jamais utilisé cette commande, \\\\ installez d'abord Homebrew, ImageMagick et\",\n \"= [], [] for ind, address in df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address)\",\n \"bool = True): ''' Find all the road segments in the network. Keep\",\n \"def noTurnBack(direction: int): wrong_paths = [] if direction == 0: wrong_paths = [5,\",\n \"point is not white' way.append((new_x, new_y)) x, y = new_x, new_y wrong_paths =\",\n \"[5, 7]} new_address = [] for r in right: if r in address:\",\n \"2, 3, -, 5, 6, 7, 8}) image: skeletonized image of the road\",\n \"= simple_segments else: print('La géolocalisation du réseau filaire ne fonctionne que pour le\",\n \"image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist()) except: print(\\\"La géolocalisation de l'image {} n'a\",\n \"with regard to the node ''' img = image.copy() # Find row and\",\n \"= np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist()) except: print(\\\"La géolocalisation de l'image\",\n \"ImageMagick et Potrace via le terminal.\\\\n\\\") print('Pour installer Homebrew:\\\\n', ' /usr/bin/ruby -e \\\"$(curl\",\n \"return x_, y_ def noTurnBack(direction: int): wrong_paths = [] if direction == 0:\",\n \"segmenty) ways: list of segments, containing all the pixels on the way between\",\n \"image.copy() road_network[road_network < 254] = 0 road_network[road_network < 255/2] = 0 road_network[road_network >=\",\n \"import approximate_polygon from PIL import Image, ImageDraw from utils.utils import * from utils.match\",\n \"np.ndarray, path: str = \\\"workshop/vectorized.png\\\", largest_component: bool = False): ''' Thinning/skeletonization of the\",\n \"wrong_paths_active = True if nodes_grid[x, y]: end = True direction = 8-start_dir while\",\n \"path, where the output bitmap image should be save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8')\",\n \"direction == 8: wrong_paths = [1, 3] return wrong_paths direction = start_dir x,\",\n \"[] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for ind, row in df_nodes[['x', 'y',\",\n \"degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood == True)[0] direction_set = direction_set[direction_set != 4] addresses.append(direction_set) nodes\",\n \"new_degree return df def avoidDiagonalEdges(address: list, direction: int = None): right, diagonal =\",\n \"node ''' img = image.copy() # Find row and column locations that are\",\n \"6: [3, 7], 8: [5, 7]} new_address = [] for r in right:\",\n \"containing all the nodes found in the image and their degree ''' img\",\n \"r > 0 and c > 0 and r < image.shape[0]-1 and c\",\n \"row_neigh.astype('int') # Convert into a single 1D array and check for non-zero locations\",\n \"(n_neighbours >= 4): nodes.append((r, c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood == True)[0] direction_set =\",\n \"start_dir: starting direction ({0, 1, 2, 3, -, 5, 6, 7, 8}) image:\",\n \"direction_set[0] new_x, new_y = absoluteWay(x, y, direction) way.append((new_x, new_y)) x, y = new_x,\",\n \"x, y = start_x, start_y assert image[x, y] != 0, 'ERROR: start point\",\n \"start_y: start node y-coordinate start_dir: starting direction ({0, 1, 2, 3, -, 5,\",\n \"True, only the largest road network component will be kept Output(s): vectorized: skeletonized\",\n \"thinning, os import numpy as np import pandas as pd import shapefile as\",\n \"== 1: wrong_paths = [6, 8] elif direction == 2: wrong_paths = [3,\",\n \"[], [] for ind, address in df['address'].iteritems(): new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) +\",\n \"+ str(node['y']) + '_' + str(direct) if not(code in done): way, last_direct, degree\",\n \"= os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm') svg_path = export_file_path.replace('png', 'svg') os.system('convert '\",\n \"nodes_grid def toPNG(segments: list, vectorized: np.ndarray, out_path: str): ''' Save a given set\",\n \"nodes_grid: np.ndarray): ''' Follow the path from one given start node and direction\",\n \"way: list of pixel coordinates on the way direction: last direction to reach\",\n \"wrong_paths = [1, 5] elif direction == 7: wrong_paths = [0, 2] elif\",\n \"the skeletonized image Output(s): way: list of pixel coordinates on the way direction:\",\n \"!= 0, 'ERROR: 2nd point is not white' way.append((new_x, new_y)) x, y =\",\n \"x+1, y+1 else: raise AttributeError('Parameters invalid: (' + str(x) + ',' + str(y)\",\n \"one given start node and direction until the next node, and stores the\",\n \"list, direction: int = None): right, diagonal = [1, 3, 5, 7], {0:\",\n \"road network component will be kept Output(s): vectorized: skeletonized image ''' assert len(road_network.shape)\",\n \"(np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for segment in segments:\",\n \"utilisé cette commande, \\\\ installez d'abord Homebrew, ImageMagick et Potrace via le terminal.\\\\n\\\")\",\n \"return new_address def explorePath(start_x: int, start_y: int, start_dir: int, image: np.ndarray, nodes_grid: np.ndarray):\",\n \"point[0])) draw.line(coords, fill = 'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path): w = shp.Writer(out_path)\",\n \"np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid else: return ways, nodes_grid def\",\n \"list of coordinates n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours == 2) or (n_neighbours >=\",\n \"or exportSHP): simple_segments, full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways =\",\n \"for d in diagonal.keys(): if d in address: if not(diagonal[d][0] in address) and\",\n \"and way should be of type int.') return x_, y_ def noTurnBack(direction: int):\",\n \"not((8-direction) in diagonal[d]): new_address.append(d) else: new_address.append(d) return new_address def explorePath(start_x: int, start_y: int,\",\n \"labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32')\",\n \"elif way == 5: x_, y_ = x, y+1 elif way == 6:\",\n \"(row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y, y+1])) # Cast to int\",\n \"= False, exportSHP: bool = False, geoloc: bool = False): assert (exportPNG or\",\n \"or exportJSON or exportSVG or exportSHP) # Convert to B&W road_network = image.copy()\",\n \"df_nodes[['x', 'y', 'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid = nodes_grid.astype('int') for ind, node\",\n \"direct in node['address']: code = str(node['x']) + '_' + str(node['y']) + '_' +\",\n \"save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap)\",\n \"r+1])) # Cast to int to index into image col_neigh = col_neigh.astype('int') row_neigh\",\n \"3: x_, y_ = x, y-1 elif way == 5: x_, y_ =\",\n \"2: wrong_paths = [3, 7] elif direction == 3: wrong_paths = [2, 8]\",\n \"given set of segments as a bitmap image from the road network. Input(s):\",\n \"degree: degrees of the nodes (2=endpoint, 4=crossroads of 3 streets, 5=crossroads of 4\",\n \"itinerary of each segment and return it. Input(s): df_nodes: list of nodes image:\",\n \"couple of nodes vectorized: skeletonized image of the road network out_path: the path,\",\n \"df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] != 3] if (exportJSON or exportSHP):\",\n \"image col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int') # Convert into a single 1D array\",\n \"wrong_paths = [] if direction == 0: wrong_paths = [5, 7] elif direction\",\n \"nodes_grid[x, y]: end = True direction = 8-start_dir while not(end): if x >\",\n \"addresses.append(direction_set) nodes = np.asarray(nodes) return nodes, degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df =\",\n \"node, and stores the pixels on the way. Input(s): start_x: start node x-coordinate\",\n \"return wrong_paths direction = start_dir x, y = start_x, start_y assert image[x, y]\",\n \"os import numpy as np import pandas as pd import shapefile as shp\",\n \"of coordinates n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours == 2) or (n_neighbours >= 4):\",\n \"in diagonal[d]): new_address.append(d) else: new_address.append(d) return new_address def explorePath(start_x: int, start_y: int, start_dir:\",\n \"+ ',' + str(way) + '), way \\\\ should be comprised between 0\",\n \"than a given length or non-terminal. Optionally, compute the Douglas-Peucker simple itinerary of\",\n \"between each couple of nodes nodes_grid: image containing all the nodes found in\",\n \"end = True break direction = direction_set[0] new_x, new_y = absoluteWay(x, y, direction)\",\n \"def toShapefile(simple_ways, out_path): w = shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0) w.field('gid', 'N', 11,\",\n \"nodes: array of nodes coordinates (x, y) degree: degrees of the nodes (2=endpoint,\",\n \"node x-coordinate start_y: start node y-coordinate start_dir: starting direction ({0, 1, 2, 3,\",\n \"'thin.pnm') svg_path = export_file_path.replace('png', 'svg') os.system('convert ' + png_path + pnm_path) os.system('potrace '\",\n \"'svg') os.system('convert ' + png_path + pnm_path) os.system('potrace ' + pnm_path + '\",\n \"and direction until the next node, and stores the pixels on the way.\",\n \"return_simple_ways: simple_ways = [] for way in ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way),\",\n \"= False, exportSVG: bool = False, exportSHP: bool = False, geoloc: bool =\",\n \"def thinImage(image: np.ndarray, image_name: str, export_file_path: str, exportPNG: bool = False, exportJSON: bool\",\n \"degree, addresses = [], [], [] for (r,c) in zip(rows, cols): if r\",\n \"' brew install imagemagick') print('Pour installer Potrace: \\\\n', ' brew install potrace\\\\n') if\",\n \"row['y']] = row['degree'] nodes_grid = nodes_grid.astype('int') for ind, node in df_nodes.iterrows(): for direct\",\n \"not(diagonal[d][0] in address) and not(diagonal[d][1] in address): if direction != None: if not((8-direction)\",\n \"len(road_network.shape) == 2, 'ERROR: road_network must be grayscale image' img = cv2.resize(road_network, (road_network.shape[1]//2,\",\n \"x_, y_ = x+1, y-1 elif way == 7: x_, y_ = x+1,\",\n \"w.field('note', 'C', 32, 0) for i in range(len(simple_ways)): w.line([simple_ways[i]]) w.record('01', i, '', '')\",\n \"bitmap image should be save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap =\",\n \"exportJSON or exportSVG or exportSHP) # Convert to B&W road_network = image.copy() road_network[road_network\",\n \"each segment and return it Output(s): (Optional)(simple_ways: the Douglas-Peucker simple itinerary of each\",\n \"in address) and not(diagonal[d][1] in address): if direction != None: if not((8-direction) in\",\n \"(rows, cols) = np.nonzero(img) nodes, degree, addresses = [], [], [] for (r,c)\",\n \"Bibliothèque nationale de France (BnF) import cv2, thinning, os import numpy as np\",\n \"row_neigh = row_neigh.astype('int') # Convert into a single 1D array and check for\",\n \"int.') return x_, y_ def noTurnBack(direction: int): wrong_paths = [] if direction ==\",\n \"def findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length: int = 30, return_simple_ways: bool = True):\",\n \"np.ndarray, out_path: str): ''' Save a given set of segments as a bitmap\",\n \"node['address']: code = str(node['x']) + '_' + str(node['y']) + '_' + str(direct) if\",\n \"non-terminal. Optionally, compute the Douglas-Peucker simple itinerary of each segment and return it.\",\n \"y) degree: degrees of the nodes (2=endpoint, 4=crossroads of 3 streets, 5=crossroads of\",\n \"x_, y_ = x, y-1 elif way == 5: x_, y_ = x,\",\n \"image.shape, ) raise AssertionError() # If the number of non-zero locations equals 2,\",\n \"'json'), 'w') as outfile: json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png',\",\n \"3], 2: [1, 5], 6: [3, 7], 8: [5, 7]} new_address = []\",\n \"shapefile as shp from skimage.measure import approximate_polygon from PIL import Image, ImageDraw from\",\n \"wrong_paths = [0, 2] elif direction == 8: wrong_paths = [1, 3] return\",\n \"wrong_paths = [6, 8] elif direction == 2: wrong_paths = [3, 7] elif\",\n \"PIL import Image, ImageDraw from utils.utils import * from utils.match import toLatLon Image.MAX_IMAGE_PIXELS\",\n \"Output(s): vectorized: skeletonized image ''' assert len(road_network.shape) == 2, 'ERROR: road_network must be\",\n \"255 vectorized = skeletonize(road_network, largest_component = True) nodes, degree, addresses = findNodes(vectorized) if\",\n \"draw.line(coords, fill = 'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path): w = shp.Writer(out_path) w.field('DeletionFlag',\",\n \"new_x, new_y wrong_paths = noTurnBack(direction) wrong_paths_active = True if nodes_grid[x, y]: end =\",\n \"to B&W road_network = image.copy() road_network[road_network < 254] = 0 road_network[road_network < 255/2]\",\n \"check for non-zero locations pix_neighbourhood = img[row_neigh, col_neigh].ravel() != 0 # If the\",\n \"nodes.append((r, c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood == True)[0] direction_set = direction_set[direction_set != 4]\",\n \"skeletonized image of the road network nodes_grid: grid of the nodes of the\",\n \"way between each couple of nodes nodes_grid: image containing all the nodes found\",\n \"wired model. Input(s): road_network: black and white image of the road network (streets\",\n \"os.path.join('workshop', 'thin.png')) if geoloc: if exportJSON: project_name = getProjectName() try: with open(os.path.join('save', project_name,\",\n \"0: x_, y_ = x-1, y-1 elif way == 1: x_, y_ =\",\n \"= np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid else: return ways, nodes_grid\",\n \"tolerance=1.6).tolist()) return simple_ways, ways, nodes_grid else: return ways, nodes_grid def thinImage(image: np.ndarray, image_name:\",\n \"end = True return way, direction, nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame, image: np.ndarray,\",\n \"M = np.asarray(data['M']) simple_segments_JSON = [] for segment in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0],\",\n \"= x-1, y elif way == 2: x_, y_ = x-1, y+1 elif\",\n \"if wrong_paths_active: for wrong_path in wrong_paths: direction_set = direction_set[direction_set != wrong_path] wrong_paths_active =\",\n \"100] = 255 vectorized[vectorized <= 100] = 0 if largest_component: try: _, labels,\",\n \"non-zero locations try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() != 0 except: print(x, y, image.shape,\",\n \"start_y assert image[x, y] != 0, 'ERROR: start point is not white' end\",\n \"print('Pour installer ImageMagick:\\\\n', ' brew install imagemagick') print('Pour installer Potrace: \\\\n', ' brew\",\n \"getProjectName() try: with open(os.path.join('save', project_name, 'match' , 'primary', image_name + '.json')) as data:\",\n \"0 and c > 0 and r < image.shape[0]-1 and c < image.shape[1]-1:\",\n \"last_ds.append(direction_set) direction_set = direction_set[direction_set != 4] last_ds.append(direction_set) direction_set = direction_set[direction_set != (8-direction)] last_ds.append(direction_set)\",\n \"-s -o ' + svg_path) return simple_segments, full_segments, nodes_grid def toPNG(segments: list, vectorized:\",\n \"= [1, 3, 5, 7], {0: [1, 3], 2: [1, 5], 6: [3,\",\n \"stats = stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels == main_component).astype('uint8')*255 except: 'Warning:\",\n \"simple itinerary of each segment and return it Output(s): (Optional)(simple_ways: the Douglas-Peucker simple\",\n \"exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG: print(\\\"\\\\nAvertissement: Si vous n'avez jamais utilisé\",\n \"print(\\\"La géolocalisation de l'image {} n'a pas encore été calculée. Par conséquent, \\\\\",\n \"param. Skipping.' cv2.imwrite(path, vectorized) return vectorized def findNodes(image: np.ndarray): ''' Find the nodes\",\n \"+ str(x) + ',' + str(y) + ',' + str(way) + '), way\",\n \"toPNG(segments: list, vectorized: np.ndarray, out_path: str): ''' Save a given set of segments\",\n \"direction = direction_set[0] new_x, new_y = absoluteWay(x, y, direction) way.append((new_x, new_y)) x, y\",\n \"elif way == 6: x_, y_ = x+1, y-1 elif way == 7:\",\n \"Convert into a single 1D array and check for non-zero locations pix_neighbourhood =\",\n \"''' Thinning/skeletonization of the road network image to a wired model. Input(s): road_network:\",\n \"check for non-zero locations try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() != 0 except: print(x,\",\n \"os.system('potrace ' + pnm_path + ' -s -o ' + svg_path) return simple_segments,\",\n \"(labels == main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed to apply largest_component = True param.\",\n \"new_y] != 0, 'ERROR: 2nd point is not white' way.append((new_x, new_y)) x, y\",\n \"out_path: the path, where the output bitmap image should be save ''' canvas\",\n \"= x, y+1 elif way == 6: x_, y_ = x+1, y-1 elif\",\n \"the node ''' img = image.copy() # Find row and column locations that\",\n \"skeletonized image should be saved largest_component: if True, only the largest road network\",\n \"8, and != 4. x, y and way should be of type int.')\",\n \"image of the road network min_length: min segment length if the segment is\",\n \"of nodes vectorized: skeletonized image of the road network out_path: the path, where\",\n \"array of nodes coordinates (x, y) degree: degrees of the nodes (2=endpoint, 4=crossroads\",\n \"couple of nodes nodes_grid: image containing all the nodes found in the image\",\n \"= skeletonize(road_network, largest_component = True) nodes, degree, addresses = findNodes(vectorized) if len(degree) <\",\n \"direction: int = None): right, diagonal = [1, 3, 5, 7], {0: [1,\",\n \"white' way.append((new_x, new_y)) x, y = new_x, new_y wrong_paths = noTurnBack(direction) wrong_paths_active =\",\n \"False): assert (exportPNG or exportJSON or exportSVG or exportSHP) # Convert to B&W\",\n \"geoloc: if exportJSON: project_name = getProjectName() try: with open(os.path.join('save', project_name, 'match' , 'primary',\",\n \"image.copy() done, ways = [], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for\",\n \"for direct in node['address']: code = str(node['x']) + '_' + str(node['y']) + '_'\",\n \"== True)[0] direction_set = direction_set[direction_set != 4] addresses.append(direction_set) nodes = np.asarray(nodes) return nodes,\",\n \"start_x, start_y assert image[x, y] != 0, 'ERROR: start point is not white'\",\n \"c < image.shape[1]-1: # Extract an 8-connected neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c,\",\n \"vectorized) return vectorized def findNodes(image: np.ndarray): ''' Find the nodes in the road\",\n \"l'image {} n'a pas encore été calculée. Par conséquent, \\\\ il n'est pas\",\n \"vectorized[vectorized > 100] = 255 vectorized[vectorized <= 100] = 0 if largest_component: try:\",\n \"degree ''' img = image.copy() done, ways = [], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True)\",\n \"image_name + '.json')) as data: data = json.load(data) M = np.asarray(data['M']) simple_segments_JSON =\",\n \"of nodes coordinates (x, y) degree: degrees of the nodes (2=endpoint, 4=crossroads of\",\n \"= [] for segment in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) +\",\n \"vectorized = skeletonize(road_network, largest_component = True) nodes, degree, addresses = findNodes(vectorized) if len(degree)\",\n \"== 2: wrong_paths = [3, 7] elif direction == 3: wrong_paths = [2,\",\n \"stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized\",\n \"# Cast to int to index into image col_neigh = col_neigh.astype('int') row_neigh =\",\n \"= np.where(pix_neighbourhood == True)[0] direction_set = direction_set[direction_set != 4] addresses.append(direction_set) nodes = np.asarray(nodes)\",\n \"nodes_grid.astype('int') for ind, node in df_nodes.iterrows(): for direct in node['address']: code = str(node['x'])\",\n \"(degree == 2))): done.append(str(way[-1][0]) + '_' + str(way[-1][1]) + '_' + str(8-last_direct)) ways.append(way)\",\n \"= False if len(direction_set) != 1: end = True break direction = direction_set[0]\",\n \"and c < image.shape[1]-1: # Extract an 8-connected neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1,\",\n \"start_y: int, start_dir: int, image: np.ndarray, nodes_grid: np.ndarray): ''' Follow the path from\",\n \"toPNG(full_segments, vectorized, export_file_path) elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if geoloc: if exportJSON:\",\n \"c+1]), np.array([r-1, r, r+1])) # Cast to int to index into image col_neigh\",\n \"nodes, degree, addresses = [], [], [] for (r,c) in zip(rows, cols): if\",\n \"open(export_file_path.replace('png', 'json'), 'w') as outfile: json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments,\",\n \"et Potrace via le terminal.\\\\n\\\") print('Pour installer Homebrew:\\\\n', ' /usr/bin/ruby -e \\\"$(curl -fsSL\",\n \"image ''' assert len(road_network.shape) == 2, 'ERROR: road_network must be grayscale image' img\",\n \"= str(node['x']) + '_' + str(node['y']) + '_' + str(direct) if not(code in\",\n \"all the nodes found in the image and their degree ''' img =\",\n \"+ pnm_path + ' -s -o ' + svg_path) return simple_segments, full_segments, nodes_grid\",\n \"4 streets, etc.) addresses: directions of the crossing roads, with regard to the\",\n \"segment in segments: coords = [] for point in segment: coords.append((point[1], point[0])) draw.line(coords,\",\n \"the road network. Input(s): segments: list of segments, containing all the pixels on\",\n \"3, 5, 7], {0: [1, 3], 2: [1, 5], 6: [3, 7], 8:\",\n \"vectorized[vectorized <= 100] = 0 if largest_component: try: _, labels, stats, _ =\",\n \"df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for ind, row in df_nodes[['x', 'y', 'degree']].iterrows():\",\n \"locations try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() != 0 except: print(x, y, image.shape, )\",\n \"[0, 6] elif direction == 6: wrong_paths = [1, 5] elif direction ==\",\n \"= False): ''' Thinning/skeletonization of the road network image to a wired model.\",\n \"for ind, node in df_nodes.iterrows(): for direct in node['address']: code = str(node['x']) +\",\n \"for non-zero locations try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() != 0 except: print(x, y,\",\n \"as outfile: json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name))\",\n \"diagonal.keys(): if d in address: if not(diagonal[d][0] in address) and not(diagonal[d][1] in address):\",\n \"4] addresses.append(direction_set) nodes = np.asarray(nodes) return nodes, degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df\",\n \"ones that are longer than a given length or non-terminal. Optionally, compute the\",\n \"' brew install potrace\\\\n') if exportPNG: png_path = export_file_path else: png_path = os.path.join('workshop',\",\n \"If the number of non-zero locations equals 2, add this to our list\",\n \"main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed to apply largest_component = True param. Skipping.' cv2.imwrite(path,\",\n \"2, 'ERROR: road_network must be grayscale image' img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized\",\n \"crossing roads, with regard to the node ''' img = image.copy() # Find\",\n \"' + pnm_path + ' -s -o ' + svg_path) return simple_segments, full_segments,\",\n \"(n_neighbours == 2) or (n_neighbours >= 4): nodes.append((r, c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood\",\n \"image[x, y] != 0, 'ERROR: start point is not white' end = False\",\n \"direction: last direction to reach the 2nd node nodes_grid[x, y]: degree of the\",\n \"w.field('gid', 'N', 11, 0) w.field('streetname', 'C', 41, 0) w.field('note', 'C', 32, 0) for\",\n \"0 and x < image.shape[0]-1 and y < image.shape[1]-1: # Extract an 8-connected\",\n \"road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized > 100] = 255 vectorized[vectorized <= 100] =\",\n \"road_network[road_network >= 255/2] = 255 vectorized = skeletonize(road_network, largest_component = True) nodes, degree,\",\n \"= 'black', width=0) bitmap.save(out_path) def toShapefile(simple_ways, out_path): w = shp.Writer(out_path) w.field('DeletionFlag', 'C', 1,\",\n \"été calculée. Par conséquent, \\\\ il n'est pas possible de calculer la géolocalisation\",\n \"road_network must be grayscale image' img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img)\",\n \"2))): done.append(str(way[-1][0]) + '_' + str(way[-1][1]) + '_' + str(8-last_direct)) ways.append(way) if return_simple_ways:\",\n \"new_address = [] for r in right: if r in address: new_address.append(r) for\",\n \"and check for non-zero locations pix_neighbourhood = img[row_neigh, col_neigh].ravel() != 0 # If\",\n \"direction != None: if not((8-direction) in diagonal[d]): new_address.append(d) else: new_address.append(d) return new_address def\",\n \"= direction_set[direction_set != 4] last_ds.append(direction_set) direction_set = direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set =\",\n \"right, diagonal = [1, 3, 5, 7], {0: [1, 3], 2: [1, 5],\",\n \"calculer la géolocalisation de son réseau filaire\\\".format(image_name)) simple_segments_JSON = simple_segments else: print('La géolocalisation\",\n \">= 4): nodes.append((r, c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood == True)[0] direction_set = direction_set[direction_set\",\n \"for way in ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways, ways,\",\n \"* from utils.match import toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network: np.ndarray, path: str\",\n \"str(x) + ',' + str(y) + ',' + str(way) + '), way \\\\\",\n \"that are longer than a given length or non-terminal. Optionally, compute the Douglas-Peucker\",\n \"y]: end = True else: end = True return way, direction, nodes_grid[x, y]\",\n \"avoidDiagonalEdges(address: list, direction: int = None): right, diagonal = [1, 3, 5, 7],\",\n \"\\\"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\\\"') print('Pour installer ImageMagick:\\\\n', ' brew install imagemagick') print('Pour installer Potrace:\",\n \"elif direction == 6: wrong_paths = [1, 5] elif direction == 7: wrong_paths\",\n \"True)[0] last_ds = [wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set != 4] last_ds.append(direction_set) direction_set =\",\n \"pixels on the way. Input(s): start_x: start node x-coordinate start_y: start node y-coordinate\",\n \"nodes found in the image and their degree ''' img = image.copy() done,\",\n \"de France (BnF) import cv2, thinning, os import numpy as np import pandas\",\n \"degree, 'address': addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree']\",\n \"the largest road network component will be kept Output(s): vectorized: skeletonized image '''\",\n \"simple_segments, full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = True) else:\",\n \"!= 4] last_ds.append(direction_set) direction_set = direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction))\",\n \"skimage.measure import approximate_polygon from PIL import Image, ImageDraw from utils.utils import * from\",\n \"pixel coordinates on the way direction: last direction to reach the 2nd node\",\n \"0 # If the number of non-zero locations equals 2, add this to\",\n \"Cast to int to index into image col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int') #\",\n \"containing all the pixels on the way between each couple of nodes nodes_grid:\",\n \"= np.sum(pix_neighbourhood) if (n_neighbours == 2) or (n_neighbours >= 4): nodes.append((r, c)) degree.append(n_neighbours)\",\n \"road_network: black and white image of the road network (streets in white) path:\",\n \"direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active: for wrong_path in wrong_paths: direction_set =\",\n \"df def avoidDiagonalEdges(address: list, direction: int = None): right, diagonal = [1, 3,\",\n \"the path from one given start node and direction until the next node,\",\n \"3 streets, 5=crossroads of 4 streets, etc.) addresses: directions of the crossing roads,\",\n \"or (degree == 2))): done.append(str(way[-1][0]) + '_' + str(way[-1][1]) + '_' + str(8-last_direct))\",\n \"= absoluteWay(x, y, direction) assert image[new_x, new_y] != 0, 'ERROR: 2nd point is\",\n \"0 road_network[road_network >= 255/2] = 255 vectorized = skeletonize(road_network, largest_component = True) nodes,\",\n \"pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() != 0 except: print(x, y, image.shape, ) raise AssertionError()\",\n \"col_neigh].ravel() != 0 # If the number of non-zero locations equals 2, add\",\n \"be grayscale image' img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized = thinning.guo_hall_thinning(img) vectorized[vectorized >\",\n \"= noTurnBack(direction) wrong_paths_active = True if nodes_grid[x, y]: end = True direction =\",\n \"if True, only the largest road network component will be kept Output(s): vectorized:\",\n \"== 6: x_, y_ = x+1, y-1 elif way == 7: x_, y_\",\n \"exportSVG: print(\\\"\\\\nAvertissement: Si vous n'avez jamais utilisé cette commande, \\\\ installez d'abord Homebrew,\",\n \"+ '_' + str(direct) if not(code in done): way, last_direct, degree = explorePath(start_x=node['x'],\",\n \"elif direction == 5: wrong_paths = [0, 6] elif direction == 6: wrong_paths\",\n \"[1, 3] return wrong_paths direction = start_dir x, y = start_x, start_y assert\",\n \"direction_set[direction_set != 4] last_ds.append(direction_set) direction_set = direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set,\",\n \"y] def findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length: int = 30, return_simple_ways: bool =\",\n \"of 4 streets, etc.) addresses: directions of the crossing roads, with regard to\",\n \"le format JSON actuellement.') else: simple_segments_JSON = simple_segments if exportJSON: with open(export_file_path.replace('png', 'json'),\",\n \"direction) assert image[new_x, new_y] != 0, 'ERROR: 2nd point is not white' way.append((new_x,\",\n \"'address': addresses }) df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) df_nodes = cleanNodesEdges(df_nodes) df_nodes = df_nodes[df_nodes['degree'] !=\",\n \"41, 0) w.field('note', 'C', 32, 0) for i in range(len(simple_ways)): w.line([simple_ways[i]]) w.record('01', i,\",\n \"elif direction == 2: wrong_paths = [3, 7] elif direction == 3: wrong_paths\",\n \"to index into image col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int') # Convert into a\",\n \"road segments in the network. Keep the ones that are longer than a\",\n \"segment in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist()) except:\",\n \"on the way direction: last direction to reach the 2nd node nodes_grid[x, y]:\",\n \"+ '.json')) as data: data = json.load(data) M = np.asarray(data['M']) simple_segments_JSON = []\",\n \"full_segments, nodes_grid def toPNG(segments: list, vectorized: np.ndarray, out_path: str): ''' Save a given\",\n \"direction == 3: wrong_paths = [2, 8] elif direction == 5: wrong_paths =\",\n \"row and column locations that are non-zero (rows, cols) = np.nonzero(img) nodes, degree,\",\n \"should be save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png') draw\",\n \"<filename>utils/thin.py # 2020, BackThen Maps # Coded by <NAME> https://github.com/RPetitpierre # For Bibliothèque\",\n \"2020, BackThen Maps # Coded by <NAME> https://github.com/RPetitpierre # For Bibliothèque nationale de\",\n \"pandas as pd import shapefile as shp from skimage.measure import approximate_polygon from PIL\",\n \"where the output bitmap image should be save ''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png',\",\n \"nodes nodes_grid: image containing all the nodes found in the image and their\",\n \"y+1 elif way == 6: x_, y_ = x+1, y-1 elif way ==\",\n \"end = True direction = 8-start_dir while not(end): if x > 0 and\",\n \"nodes_grid: image containing all the nodes found in the image and their degree\",\n \"de l'image {} n'a pas encore été calculée. Par conséquent, \\\\ il n'est\",\n \"0 and r < image.shape[0]-1 and c < image.shape[1]-1: # Extract an 8-connected\",\n \"the ones that are longer than a given length or non-terminal. Optionally, compute\",\n \"if exportPNG: png_path = export_file_path else: png_path = os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop',\",\n \"largest road network component will be kept Output(s): vectorized: skeletonized image ''' assert\",\n \"'match' , 'primary', image_name + '.json')) as data: data = json.load(data) M =\",\n \"wrong_paths = [1, 3] return wrong_paths direction = start_dir x, y = start_x,\",\n \"5=crossroads of 4 streets, etc.) addresses: directions of the crossing roads, with regard\",\n \"image.shape[0]-1 and c < image.shape[1]-1: # Extract an 8-connected neighbourhood (col_neigh, row_neigh) =\",\n \"B&W road_network = image.copy() road_network[road_network < 254] = 0 road_network[road_network < 255/2] =\",\n \"[], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for ind, row in df_nodes[['x',\",\n \"last_ds.append(direction_set) direction_set = direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if\",\n \"start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way) <= min_length) and ((node['degree'] == 2) or\",\n \"shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0) w.field('gid', 'N', 11, 0) w.field('streetname', 'C', 41, 0)\",\n \"streets, 5=crossroads of 4 streets, etc.) addresses: directions of the crossing roads, with\",\n \"where the skeletonized image should be saved largest_component: if True, only the largest\",\n \"None: if not((8-direction) in diagonal[d]): new_address.append(d) else: new_address.append(d) return new_address def explorePath(start_x: int,\",\n \"= 8-start_dir while not(end): if x > 0 and y > 0 and\",\n \"[], np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree': degree, 'address': addresses\",\n \"is terminal return_simple_ways: if True, compute the Douglas-Peucker simple itinerary of each segment\",\n \"x, y+1 elif way == 6: x_, y_ = x+1, y-1 elif way\",\n \"= 15, return_simple_ways = False) simple_segments = [] if exportPNG: toPNG(full_segments, vectorized, export_file_path)\",\n \"and their degree ''' img = image.copy() done, ways = [], [] df_nodes\",\n \"+ '_' + str(node['y']) + '_' + str(direct) if not(code in done): way,\",\n \"str, export_file_path: str, exportPNG: bool = False, exportJSON: bool = False, exportSVG: bool\",\n \"simple_segments, full_segments, nodes_grid def toPNG(segments: list, vectorized: np.ndarray, out_path: str): ''' Save a\",\n \"the road network skeleton image. Input(s): image: skeletonized image Output(s): nodes: array of\",\n \"== 7: x_, y_ = x+1, y elif way == 8: x_, y_\",\n \"of coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood == True)[0] last_ds = [wrong_paths]\",\n \"' + svg_path) return simple_segments, full_segments, nodes_grid def toPNG(segments: list, vectorized: np.ndarray, out_path:\",\n \"addresses = findNodes(vectorized) if len(degree) < 0: return [], [], np.zeros((image.shape[1], image.shape[0])) df_nodes\",\n \"x, y-1 elif way == 5: x_, y_ = x, y+1 elif way\",\n \"direction) way.append((new_x, new_y)) x, y = new_x, new_y if nodes_grid[x, y]: end =\",\n \"= new_addresses df['degree'] = new_degree return df def avoidDiagonalEdges(address: list, direction: int =\",\n \"out_path): w = shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0) w.field('gid', 'N', 11, 0) w.field('streetname',\",\n \"new_x, new_y = absoluteWay(x, y, direction) assert image[new_x, new_y] != 0, 'ERROR: 2nd\",\n \"[] for point in segment: coords.append((point[1], point[0])) draw.line(coords, fill = 'black', width=0) bitmap.save(out_path)\",\n \"(Optional)(simple_ways: the Douglas-Peucker simple itinerary of each segmenty) ways: list of segments, containing\",\n \"json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG:\",\n \"y+1 elif way == 3: x_, y_ = x, y-1 elif way ==\",\n \"Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network: np.ndarray, path: str = \\\"workshop/vectorized.png\\\", largest_component: bool =\",\n \"direction == 7: wrong_paths = [0, 2] elif direction == 8: wrong_paths =\",\n \"right: if r in address: new_address.append(r) for d in diagonal.keys(): if d in\",\n \"x+1, y elif way == 8: x_, y_ = x+1, y+1 else: raise\",\n \"node nodes_grid[x, y]: degree of the arrival node ''' def absoluteWay(x: int, y:\",\n \"is not white' way.append((new_x, new_y)) x, y = new_x, new_y wrong_paths = noTurnBack(direction)\",\n \"direction == 5: wrong_paths = [0, 6] elif direction == 6: wrong_paths =\",\n \"into a single 1D array and check for non-zero locations try: pix_neighbourhood =\",\n \"= getProjectName() try: with open(os.path.join('save', project_name, 'match' , 'primary', image_name + '.json')) as\",\n \"y-coordinate start_dir: starting direction ({0, 1, 2, 3, -, 5, 6, 7, 8})\",\n \"= json.load(data) M = np.asarray(data['M']) simple_segments_JSON = [] for segment in simple_segments: s\",\n \"+ 1) df['address'] = new_addresses df['degree'] = new_degree return df def avoidDiagonalEdges(address: list,\",\n \"[0, 2] elif direction == 8: wrong_paths = [1, 3] return wrong_paths direction\",\n \"= 30, return_simple_ways: bool = True): ''' Find all the road segments in\",\n \"by <NAME> https://github.com/RPetitpierre # For Bibliothèque nationale de France (BnF) import cv2, thinning,\",\n \"compute the Douglas-Peucker simple itinerary of each segment and return it Output(s): (Optional)(simple_ways:\",\n \"the way direction: last direction to reach the 2nd node nodes_grid[x, y]: degree\",\n \"given length or non-terminal. Optionally, compute the Douglas-Peucker simple itinerary of each segment\",\n \"raise AttributeError('Parameters invalid: (' + str(x) + ',' + str(y) + ',' +\",\n \"the path, where the output bitmap image should be save ''' canvas =\",\n \"2: x_, y_ = x-1, y+1 elif way == 3: x_, y_ =\",\n \"True return way, direction, nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame, image: np.ndarray, min_length: int\",\n \"if exportSVG: print(\\\"\\\\nAvertissement: Si vous n'avez jamais utilisé cette commande, \\\\ installez d'abord\",\n \"image containing all the nodes found in the image and their degree '''\",\n \"if (exportJSON or exportSHP): simple_segments, full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length = 15,\",\n \"be saved largest_component: if True, only the largest road network component will be\",\n \"== main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed to apply largest_component = True param. Skipping.'\",\n \"',' + str(y) + ',' + str(way) + '), way \\\\ should be\",\n \"return ways, nodes_grid def thinImage(image: np.ndarray, image_name: str, export_file_path: str, exportPNG: bool =\",\n \"be kept Output(s): vectorized: skeletonized image ''' assert len(road_network.shape) == 2, 'ERROR: road_network\",\n \"direction_set[direction_set != 4] addresses.append(direction_set) nodes = np.asarray(nodes) return nodes, degree, addresses def cleanNodesEdges(df_nodes:\",\n \"Skeletonization failed to apply largest_component = True param. Skipping.' cv2.imwrite(path, vectorized) return vectorized\",\n \"exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if geoloc: if exportJSON: project_name = getProjectName() try:\",\n \"True) nodes, degree, addresses = findNodes(vectorized) if len(degree) < 0: return [], [],\",\n \"nodes = np.asarray(nodes) return nodes, degree, addresses def cleanNodesEdges(df_nodes: pd.DataFrame): df = df_nodes.copy()\",\n \"geoloc: bool = False): assert (exportPNG or exportJSON or exportSVG or exportSHP) #\",\n \"x_, y_ = x, y+1 elif way == 6: x_, y_ = x+1,\",\n \"direction_set = direction_set[direction_set != 4] last_ds.append(direction_set) direction_set = direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set\",\n \"itinerary of each segment and return it Output(s): (Optional)(simple_ways: the Douglas-Peucker simple itinerary\",\n \"zip(rows, cols): if r > 0 and c > 0 and r <\",\n \"True direction = 8-start_dir while not(end): if x > 0 and y >\",\n \"ways.append(way) if return_simple_ways: simple_ways = [] for way in ways: inv_way = np.asarray([np.asarray(way)[:,1],\",\n \"outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG: print(\\\"\\\\nAvertissement:\",\n \"y < image.shape[1]-1: # Extract an 8-connected neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x,\",\n \"AttributeError('Parameters invalid: (' + str(x) + ',' + str(y) + ',' + str(way)\",\n \"not(code in done): way, last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if\",\n \"if exportPNG: toPNG(full_segments, vectorized, export_file_path) elif exportSVG: toPNG(full_segments, vectorized, os.path.join('workshop', 'thin.png')) if geoloc:\",\n \"''' canvas = (np.ones(vectorized.shape)*255).astype('uint8') cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for\",\n \"number of non-zero locations equals 2, add this to our list of coordinates\",\n \"each segment and return it. Input(s): df_nodes: list of nodes image: skeletonized image\",\n \"= False): assert (exportPNG or exportJSON or exportSVG or exportSHP) # Convert to\",\n \"way == 5: x_, y_ = x, y+1 elif way == 6: x_,\",\n \"new_address.append(d) else: new_address.append(d) return new_address def explorePath(start_x: int, start_y: int, start_dir: int, image:\",\n \"'ERROR: road_network must be grayscale image' img = cv2.resize(road_network, (road_network.shape[1]//2, road_network.shape[0]//2)) vectorized =\",\n \"<NAME> https://github.com/RPetitpierre # For Bibliothèque nationale de France (BnF) import cv2, thinning, os\",\n \"os.system('convert ' + png_path + pnm_path) os.system('potrace ' + pnm_path + ' -s\",\n \"< image.shape[1]-1: # Extract an 8-connected neighbourhood (col_neigh, row_neigh) = np.meshgrid(np.array([c-1, c, c+1]),\",\n \"else: new_address.append(d) return new_address def explorePath(start_x: int, start_y: int, start_dir: int, image: np.ndarray,\",\n \"image Output(s): nodes: array of nodes coordinates (x, y) degree: degrees of the\",\n \"for non-zero locations pix_neighbourhood = img[row_neigh, col_neigh].ravel() != 0 # If the number\",\n \"degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way) <= min_length) and ((node['degree']\",\n \"image Output(s): way: list of pixel coordinates on the way direction: last direction\",\n \"= image.copy() road_network[road_network < 254] = 0 road_network[road_network < 255/2] = 0 road_network[road_network\",\n \"streets, etc.) addresses: directions of the crossing roads, with regard to the node\",\n \"c > 0 and r < image.shape[0]-1 and c < image.shape[1]-1: # Extract\",\n \"[] for (r,c) in zip(rows, cols): if r > 0 and c >\",\n \"assert len(road_network.shape) == 2, 'ERROR: road_network must be grayscale image' img = cv2.resize(road_network,\",\n \"''' Find the nodes in the road network skeleton image. Input(s): image: skeletonized\",\n \"np.ndarray): ''' Follow the path from one given start node and direction until\",\n \"segments as a bitmap image from the road network. Input(s): segments: list of\",\n \"in df_nodes.iterrows(): for direct in node['address']: code = str(node['x']) + '_' + str(node['y'])\",\n \"as pd import shapefile as shp from skimage.measure import approximate_polygon from PIL import\",\n \"new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address'] = new_addresses df['degree'] = new_degree return df def\",\n \"7] elif direction == 1: wrong_paths = [6, 8] elif direction == 2:\",\n \"direction_set = direction_set[direction_set != (8-direction)] last_ds.append(direction_set) direction_set = np.asarray(avoidDiagonalEdges(direction_set, direction)) last_ds.append(direction_set) if wrong_paths_active:\",\n \"x, y and way should be of type int.') return x_, y_ def\",\n \"< image.shape[0]-1 and c < image.shape[1]-1: # Extract an 8-connected neighbourhood (col_neigh, row_neigh)\",\n \"bool = False, geoloc: bool = False): assert (exportPNG or exportJSON or exportSVG\",\n \"+ str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways = [] for way in ways: inv_way\",\n \"image from the road network. Input(s): segments: list of segments, containing all the\",\n \"= findSegments(df_nodes, vectorized, min_length = 15, return_simple_ways = False) simple_segments = [] if\",\n \"4=crossroads of 3 streets, 5=crossroads of 4 streets, etc.) addresses: directions of the\",\n \"Coded by <NAME> https://github.com/RPetitpierre # For Bibliothèque nationale de France (BnF) import cv2,\",\n \"!= 0 except: print(x, y, image.shape, ) raise AssertionError() # If the number\",\n \"if x > 0 and y > 0 and x < image.shape[0]-1 and\",\n \"skeletonized image Output(s): way: list of pixel coordinates on the way direction: last\",\n \"3] return wrong_paths direction = start_dir x, y = start_x, start_y assert image[x,\",\n \"int = 30, return_simple_ways: bool = True): ''' Find all the road segments\",\n \"way.append((new_x, new_y)) x, y = new_x, new_y wrong_paths = noTurnBack(direction) wrong_paths_active = True\",\n \"new_address = avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address'] = new_addresses df['degree'] = new_degree\",\n \"svg_path = export_file_path.replace('png', 'svg') os.system('convert ' + png_path + pnm_path) os.system('potrace ' +\",\n \"+ str(way[-1][1]) + '_' + str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways = [] for\",\n \"int, y: int, way: int): if way == 0: x_, y_ = x-1,\",\n \"network nodes_grid: grid of the nodes of the skeletonized image Output(s): way: list\",\n \"True else: end = True return way, direction, nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame,\",\n \"image of the road network (streets in white) path: path where the skeletonized\",\n \"the road network nodes_grid: grid of the nodes of the skeletonized image Output(s):\",\n \"last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way) <= min_length) and\",\n \"data: data = json.load(data) M = np.asarray(data['M']) simple_segments_JSON = [] for segment in\",\n \"= simple_segments if exportJSON: with open(export_file_path.replace('png', 'json'), 'w') as outfile: json.dump(simple_segments_JSON, outfile) if\",\n \"8: wrong_paths = [1, 3] return wrong_paths direction = start_dir x, y =\",\n \"explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way) <= min_length) and ((node['degree'] == 2)\",\n \"255 vectorized[vectorized <= 100] = 0 if largest_component: try: _, labels, stats, _\",\n \"bool = False): ''' Thinning/skeletonization of the road network image to a wired\",\n \"wrong_path] wrong_paths_active = False if len(direction_set) != 1: end = True break direction\",\n \"= col_neigh.astype('int'), row_neigh.astype('int') # Convert into a single 1D array and check for\",\n \"column locations that are non-zero (rows, cols) = np.nonzero(img) nodes, degree, addresses =\",\n \"(BnF) import cv2, thinning, os import numpy as np import pandas as pd\",\n \"assert image[x, y] != 0, 'ERROR: start point is not white' end =\",\n \"y and way should be of type int.') return x_, y_ def noTurnBack(direction:\",\n \"1D array and check for non-zero locations pix_neighbourhood = img[row_neigh, col_neigh].ravel() != 0\",\n \"start_dir: int, image: np.ndarray, nodes_grid: np.ndarray): ''' Follow the path from one given\",\n \"png_path + pnm_path) os.system('potrace ' + pnm_path + ' -s -o ' +\",\n \"image should be saved largest_component: if True, only the largest road network component\",\n \"commande, \\\\ installez d'abord Homebrew, ImageMagick et Potrace via le terminal.\\\\n\\\") print('Pour installer\",\n \"findNodes(image: np.ndarray): ''' Find the nodes in the road network skeleton image. Input(s):\",\n \"return simple_segments, full_segments, nodes_grid def toPNG(segments: list, vectorized: np.ndarray, out_path: str): ''' Save\",\n \"explorePath(start_x: int, start_y: int, start_dir: int, image: np.ndarray, nodes_grid: np.ndarray): ''' Follow the\",\n \"int, start_y: int, start_dir: int, image: np.ndarray, nodes_grid: np.ndarray): ''' Follow the path\",\n \"0) w.field('note', 'C', 32, 0) for i in range(len(simple_ways)): w.line([simple_ways[i]]) w.record('01', i, '',\",\n \"'w') as outfile: json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''),\",\n \"cette commande, \\\\ installez d'abord Homebrew, ImageMagick et Potrace via le terminal.\\\\n\\\") print('Pour\",\n \"[wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set != 4] last_ds.append(direction_set) direction_set = direction_set[direction_set != (8-direction)]\",\n \"Output(s): nodes: array of nodes coordinates (x, y) degree: degrees of the nodes\",\n \"ways, nodes_grid def thinImage(image: np.ndarray, image_name: str, export_file_path: str, exportPNG: bool = False,\",\n \"and check for non-zero locations try: pix_neighbourhood = image[row_neigh, col_neigh].transpose().ravel() != 0 except:\",\n \"locations equals 2, add this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood)\",\n \"= [0, 2] elif direction == 8: wrong_paths = [1, 3] return wrong_paths\",\n \"avoidDiagonalEdges(address) new_addresses.append(new_address) new_degree.append(len(new_address) + 1) df['address'] = new_addresses df['degree'] = new_degree return df\",\n \"and c > 0 and r < image.shape[0]-1 and c < image.shape[1]-1: #\",\n \"'C', 32, 0) for i in range(len(simple_ways)): w.line([simple_ways[i]]) w.record('01', i, '', '') w.close()\",\n \"direction_set = np.where(pix_neighbourhood == True)[0] direction_set = direction_set[direction_set != 4] addresses.append(direction_set) nodes =\",\n \"x+1]), np.array([y-1, y, y+1])) # Cast to int to index into image col_neigh,\",\n \"else: print('La géolocalisation du réseau filaire ne fonctionne que pour le format JSON\",\n \"bitmap.save(out_path) def toShapefile(simple_ways, out_path): w = shp.Writer(out_path) w.field('DeletionFlag', 'C', 1, 0) w.field('gid', 'N',\",\n \"y, direction) way.append((new_x, new_y)) x, y = new_x, new_y if nodes_grid[x, y]: end\",\n \"done): way, last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'], start_dir=direct, image=img, nodes_grid=nodes_grid) if not((len(way) <=\",\n \"True if nodes_grid[x, y]: end = True direction = 8-start_dir while not(end): if\",\n \"our list of coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood == True)[0] last_ds\",\n \"not white' way.append((new_x, new_y)) x, y = new_x, new_y wrong_paths = noTurnBack(direction) wrong_paths_active\",\n \"== 2) or (n_neighbours >= 4): nodes.append((r, c)) degree.append(n_neighbours) direction_set = np.where(pix_neighbourhood ==\",\n \"brew install potrace\\\\n') if exportPNG: png_path = export_file_path else: png_path = os.path.join('workshop', 'thin.png')\",\n \"géolocalisation du réseau filaire ne fonctionne que pour le format JSON actuellement.') else:\",\n \"False) simple_segments = [] if exportPNG: toPNG(full_segments, vectorized, export_file_path) elif exportSVG: toPNG(full_segments, vectorized,\",\n \"road network nodes_grid: grid of the nodes of the skeletonized image Output(s): way:\",\n \"ways = [], [] df_nodes = df_nodes.sort_values(by='degree').reset_index(drop=True) nodes_grid = np.zeros(image.shape) for ind, row\",\n \"return it. Input(s): df_nodes: list of nodes image: skeletonized image of the road\",\n \"nodes_grid[x, y]: end = True else: end = True return way, direction, nodes_grid[x,\",\n \"False, exportSVG: bool = False, exportSHP: bool = False, geoloc: bool = False):\",\n \"0 and y > 0 and x < image.shape[0]-1 and y < image.shape[1]-1:\",\n \"road network (streets in white) path: path where the skeletonized image should be\",\n \"should be comprised between 0 and 8, and != 4. x, y and\",\n \"reach the 2nd node nodes_grid[x, y]: degree of the arrival node ''' def\",\n \"way == 8: x_, y_ = x+1, y+1 else: raise AttributeError('Parameters invalid: ('\",\n \"outfile: json.dump(simple_segments_JSON, outfile) if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if\",\n \"np.sum(pix_neighbourhood) if (n_neighbours == 2) or (n_neighbours >= 4): nodes.append((r, c)) degree.append(n_neighbours) direction_set\",\n \"an 8-connected neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1, y, y+1])) #\",\n \"ways: list of segments, containing all the pixels on the way between each\",\n \"or exportSHP) # Convert to B&W road_network = image.copy() road_network[road_network < 254] =\",\n \"way \\\\ should be comprised between 0 and 8, and != 4. x,\",\n \"!= 3] if (exportJSON or exportSHP): simple_segments, full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length\",\n \"= 0 road_network[road_network >= 255/2] = 255 vectorized = skeletonize(road_network, largest_component = True)\",\n \"way == 7: x_, y_ = x+1, y elif way == 8: x_,\",\n \"vectorized: skeletonized image ''' assert len(road_network.shape) == 2, 'ERROR: road_network must be grayscale\",\n \"< 255/2] = 0 road_network[road_network >= 255/2] = 255 vectorized = skeletonize(road_network, largest_component\",\n \"= False, geoloc: bool = False): assert (exportPNG or exportJSON or exportSVG or\",\n \"except: 'Warning: Skeletonization failed to apply largest_component = True param. Skipping.' cv2.imwrite(path, vectorized)\",\n \"elif way == 1: x_, y_ = x-1, y elif way == 2:\",\n \"= [] if direction == 0: wrong_paths = [5, 7] elif direction ==\",\n \"road network min_length: min segment length if the segment is terminal return_simple_ways: if\",\n \"list of coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood == True)[0] last_ds =\",\n \"return df def avoidDiagonalEdges(address: list, direction: int = None): right, diagonal = [1,\",\n \"will be kept Output(s): vectorized: skeletonized image ''' assert len(road_network.shape) == 2, 'ERROR:\",\n \"into a single 1D array and check for non-zero locations pix_neighbourhood = img[row_neigh,\",\n \"np.array([y-1, y, y+1])) # Cast to int to index into image col_neigh, row_neigh\",\n \"def absoluteWay(x: int, y: int, way: int): if way == 0: x_, y_\",\n \"end = False way = [(x, y)] # First iteration new_x, new_y =\",\n \"last direction to reach the 2nd node nodes_grid[x, y]: degree of the arrival\",\n \"exportJSON: project_name = getProjectName() try: with open(os.path.join('save', project_name, 'match' , 'primary', image_name +\",\n \"index into image col_neigh = col_neigh.astype('int') row_neigh = row_neigh.astype('int') # Convert into a\",\n \"'ERROR: 2nd point is not white' way.append((new_x, new_y)) x, y = new_x, new_y\",\n \"2nd point is not white' way.append((new_x, new_y)) x, y = new_x, new_y wrong_paths\",\n \"[] for way in ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist()) return simple_ways,\",\n \"png_path = export_file_path else: png_path = os.path.join('workshop', 'thin.png') pnm_path = os.path.join('workshop', 'thin.pnm') svg_path\",\n \"degree of the arrival node ''' def absoluteWay(x: int, y: int, way: int):\",\n \"if exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG: print(\\\"\\\\nAvertissement: Si\",\n \"= row['degree'] nodes_grid = nodes_grid.astype('int') for ind, node in df_nodes.iterrows(): for direct in\",\n \"segments: list of segments, containing all the pixels on the way between each\",\n \"= cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels\",\n \"start node and direction until the next node, and stores the pixels on\",\n \"comprised between 0 and 8, and != 4. x, y and way should\",\n \"2, add this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) if (n_neighbours\",\n \"str(y) + ',' + str(way) + '), way \\\\ should be comprised between\",\n \"= None): right, diagonal = [1, 3, 5, 7], {0: [1, 3], 2:\",\n \"''' Find all the road segments in the network. Keep the ones that\",\n \"start point is not white' end = False way = [(x, y)] #\",\n \"start node y-coordinate start_dir: starting direction ({0, 1, 2, 3, -, 5, 6,\",\n \"= True else: end = True return way, direction, nodes_grid[x, y] def findSegments(df_nodes:\",\n \"= Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for segment in segments: coords = [] for\",\n \"== 6: wrong_paths = [1, 5] elif direction == 7: wrong_paths = [0,\",\n \"nodes_grid: grid of the nodes of the skeletonized image Output(s): way: list of\",\n \"image.shape[1]-1: # Extract an 8-connected neighbourhood (row_neigh, col_neigh) = np.meshgrid(np.array([x-1, x, x+1]), np.array([y-1,\",\n \"str(8-last_direct)) ways.append(way) if return_simple_ways: simple_ways = [] for way in ways: inv_way =\",\n \"https://raw.githubusercontent.com/Homebrew/install/master/install)\\\"') print('Pour installer ImageMagick:\\\\n', ' brew install imagemagick') print('Pour installer Potrace: \\\\n', '\",\n \"'degree']].iterrows(): nodes_grid[row['x'], row['y']] = row['degree'] nodes_grid = nodes_grid.astype('int') for ind, node in df_nodes.iterrows():\",\n \"[], [], np.zeros((image.shape[1], image.shape[0])) df_nodes = pd.DataFrame({'x': nodes[:,0], 'y': nodes[:,1], 'degree': degree, 'address':\",\n \"3] if (exportJSON or exportSHP): simple_segments, full_segments, nodes_grid = findSegments(df_nodes, vectorized, min_length =\",\n \"wrong_paths: direction_set = direction_set[direction_set != wrong_path] wrong_paths_active = False if len(direction_set) != 1:\",\n \"print('Pour installer Homebrew:\\\\n', ' /usr/bin/ruby -e \\\"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\\\"') print('Pour installer ImageMagick:\\\\n', '\",\n \"raise AssertionError() # If the number of non-zero locations equals 2, add this\",\n \"n_neighbours = np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood == True)[0] last_ds = [wrong_paths] last_ds.append(direction_set) direction_set\",\n \"equals 2, add this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) if\",\n \"x-1, y+1 elif way == 3: x_, y_ = x, y-1 elif way\",\n \"of the road network (streets in white) path: path where the skeletonized image\",\n \"== 5: x_, y_ = x, y+1 elif way == 6: x_, y_\",\n \"\\\\ il n'est pas possible de calculer la géolocalisation de son réseau filaire\\\".format(image_name))\",\n \"new_x, new_y = absoluteWay(x, y, direction) way.append((new_x, new_y)) x, y = new_x, new_y\",\n \"node y-coordinate start_dir: starting direction ({0, 1, 2, 3, -, 5, 6, 7,\",\n \"skeletonized image of the road network out_path: the path, where the output bitmap\",\n \"pixels on the way between each couple of nodes nodes_grid: image containing all\",\n \"_ = cv2.connectedComponentsWithStats(vectorized.copy(), connectivity=8, stats=cv2.CC_STAT_AREA) stats = stats[1:] main_component = (np.argmax(stats[:,4])+1).astype('int32') vectorized =\",\n \"exportSHP: os.makedirs(export_file_path.replace('.png', ''), exist_ok=True) toShapefile(simple_segments, os.path.join(export_file_path.replace('.png', ''), image_name)) if exportSVG: print(\\\"\\\\nAvertissement: Si vous\",\n \"= np.where(pix_neighbourhood == True)[0] last_ds = [wrong_paths] last_ds.append(direction_set) direction_set = direction_set[direction_set != 4]\",\n \"simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist()) except: print(\\\"La géolocalisation\",\n \"point is not white' end = False way = [(x, y)] # First\",\n \"pd.DataFrame, image: np.ndarray, min_length: int = 30, return_simple_ways: bool = True): ''' Find\",\n \"Find the nodes in the road network skeleton image. Input(s): image: skeletonized image\",\n \"skeletonize(road_network: np.ndarray, path: str = \\\"workshop/vectorized.png\\\", largest_component: bool = False): ''' Thinning/skeletonization of\",\n \"wrong_paths = [0, 6] elif direction == 6: wrong_paths = [1, 5] elif\",\n \"network out_path: the path, where the output bitmap image should be save '''\",\n \"of the crossing roads, with regard to the node ''' img = image.copy()\",\n \"<= 100] = 0 if largest_component: try: _, labels, stats, _ = cv2.connectedComponentsWithStats(vectorized.copy(),\",\n \"else: end = True return way, direction, nodes_grid[x, y] def findSegments(df_nodes: pd.DataFrame, image:\",\n \"for segment in simple_segments: s = np.asarray([2*np.asarray(segment)[:,0], image.shape[0]-(2*np.asarray(segment)[:,1])]).T simple_segments_JSON.append(toLatLon((s@M[:, :2]) + M[:, 2:3].transpose()).tolist())\",\n \"# Cast to int to index into image col_neigh, row_neigh = col_neigh.astype('int'), row_neigh.astype('int')\",\n \"component will be kept Output(s): vectorized: skeletonized image ''' assert len(road_network.shape) == 2,\",\n \"path where the skeletonized image should be saved largest_component: if True, only the\",\n \"2] elif direction == 8: wrong_paths = [1, 3] return wrong_paths direction =\",\n \"False): ''' Thinning/skeletonization of the road network image to a wired model. Input(s):\",\n \"(r,c) in zip(rows, cols): if r > 0 and c > 0 and\",\n \"(' + str(x) + ',' + str(y) + ',' + str(way) + '),\",\n \"installer Homebrew:\\\\n', ' /usr/bin/ruby -e \\\"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\\\"') print('Pour installer ImageMagick:\\\\n', ' brew\",\n \"utils.match import toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network: np.ndarray, path: str = \\\"workshop/vectorized.png\\\",\",\n \"simple itinerary of each segment and return it. Input(s): df_nodes: list of nodes\",\n \"8] elif direction == 2: wrong_paths = [3, 7] elif direction == 3:\",\n \"found in the image and their degree ''' img = image.copy() done, ways\",\n \"import toLatLon Image.MAX_IMAGE_PIXELS = 500000000 def skeletonize(road_network: np.ndarray, path: str = \\\"workshop/vectorized.png\\\", largest_component:\",\n \"(np.argmax(stats[:,4])+1).astype('int32') vectorized = (labels == main_component).astype('uint8')*255 except: 'Warning: Skeletonization failed to apply largest_component\",\n \"road network out_path: the path, where the output bitmap image should be save\",\n \"cols) = np.nonzero(img) nodes, degree, addresses = [], [], [] for (r,c) in\",\n \":2]) + M[:, 2:3].transpose()).tolist()) except: print(\\\"La géolocalisation de l'image {} n'a pas encore\",\n \"node and direction until the next node, and stores the pixels on the\",\n \"= x+1, y-1 elif way == 7: x_, y_ = x+1, y elif\",\n \"pnm_path) os.system('potrace ' + pnm_path + ' -s -o ' + svg_path) return\",\n \"pnm_path + ' -s -o ' + svg_path) return simple_segments, full_segments, nodes_grid def\",\n \"((node['degree'] == 2) or (degree == 2))): done.append(str(way[-1][0]) + '_' + str(way[-1][1]) +\",\n \"== 8: x_, y_ = x+1, y+1 else: raise AttributeError('Parameters invalid: (' +\",\n \"be comprised between 0 and 8, and != 4. x, y and way\",\n \"add this to our list of coordinates n_neighbours = np.sum(pix_neighbourhood) direction_set = np.where(pix_neighbourhood\",\n \"True param. Skipping.' cv2.imwrite(path, vectorized) return vectorized def findNodes(image: np.ndarray): ''' Find the\",\n \"new_y)) x, y = new_x, new_y if nodes_grid[x, y]: end = True else:\",\n \"cv2.imwrite('workshop/canvas.png', canvas); bitmap = Image.open('workshop/canvas.png') draw = ImageDraw.Draw(bitmap) for segment in segments: coords\",\n \"= True if nodes_grid[x, y]: end = True direction = 8-start_dir while not(end):\",\n \"0 road_network[road_network < 255/2] = 0 road_network[road_network >= 255/2] = 255 vectorized =\",\n \"simple_ways = [] for way in ways: inv_way = np.asarray([np.asarray(way)[:,1], image.shape[0]-np.asarray(way)[:,0]]).transpose() simple_ways.append(approximate_polygon(np.asarray(inv_way), tolerance=1.6).tolist())\",\n \"x_, y_ = x+1, y elif way == 8: x_, y_ = x+1,\",\n \"row_neigh) = np.meshgrid(np.array([c-1, c, c+1]), np.array([r-1, r, r+1])) # Cast to int to\",\n \"r in right: if r in address: new_address.append(r) for d in diagonal.keys(): if\",\n \"''' def absoluteWay(x: int, y: int, way: int): if way == 0: x_,\",\n \"from one given start node and direction until the next node, and stores\",\n \"'_' + str(direct) if not(code in done): way, last_direct, degree = explorePath(start_x=node['x'], start_y=node['y'],\",\n \"= True param. Skipping.' cv2.imwrite(path, vectorized) return vectorized def findNodes(image: np.ndarray): ''' Find\",\n \"= [] for r in right: if r in address: new_address.append(r) for d\"\n]","isConversational":false}}},{"rowIdx":1985,"cells":{"ngram":{"kind":"list like","value":["mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input')","self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print, mock_input): def assertion(value): if value","import TestCase from unittest.mock import patch from easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input')","yes or no' mock_input.side_effect = ['input', '', 'no'] self.assertEquals(cli.check_input('prompt', assertion=assertion), 'no') mock_print.assert_called_with('\\tInvalid input:","mock_input): def assertion(value): if value not in ['yes', 'no']: return 'use yes or","not in ['yes', 'no']: return 'use yes or no' mock_input.side_effect = ['input', '',","from unittest import TestCase from unittest.mock import patch from easy2fa import cli class","TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value =","from easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value = ''","@patch('builtins.print') def test_assertions(self, mock_print, mock_input): def assertion(value): if value not in ['yes', 'no']:","assertion(value): if value not in ['yes', 'no']: return 'use yes or no' mock_input.side_effect","'no']: return 'use yes or no' mock_input.side_effect = ['input', '', 'no'] self.assertEquals(cli.check_input('prompt', assertion=assertion),","'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print, mock_input): def assertion(value): if","return 'use yes or no' mock_input.side_effect = ['input', '', 'no'] self.assertEquals(cli.check_input('prompt', assertion=assertion), 'no')","patch from easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value =","mock_print, mock_input): def assertion(value): if value not in ['yes', 'no']: return 'use yes","mock_input.side_effect = ['input', '', 'no'] self.assertEquals(cli.check_input('prompt', assertion=assertion), 'no') mock_print.assert_called_with('\\tInvalid input: use yes or","in ['yes', 'no']: return 'use yes or no' mock_input.side_effect = ['input', '', 'no']","mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print, mock_input): def","import patch from easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value","no' mock_input.side_effect = ['input', '', 'no'] self.assertEquals(cli.check_input('prompt', assertion=assertion), 'no') mock_print.assert_called_with('\\tInvalid input: use yes","TestCase from unittest.mock import patch from easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input') def","easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt',","@patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print, mock_input): def assertion(value): if value not in ['yes',","def test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt',","= 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print, mock_input): def assertion(value):","default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print, mock_input): def assertion(value): if value not","or no' mock_input.side_effect = ['input', '', 'no'] self.assertEquals(cli.check_input('prompt', assertion=assertion), 'no') mock_print.assert_called_with('\\tInvalid input: use","value not in ['yes', 'no']: return 'use yes or no' mock_input.side_effect = ['input',","test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'),","from unittest.mock import patch from easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self,","import cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'),","'' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def","default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print,","if value not in ['yes', 'no']: return 'use yes or no' mock_input.side_effect =","unittest import TestCase from unittest.mock import patch from easy2fa import cli class TestCheckInput(TestCase):","['yes', 'no']: return 'use yes or no' mock_input.side_effect = ['input', '', 'no'] self.assertEquals(cli.check_input('prompt',","= '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print')","self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self,","'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print, mock_input):","mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two')","'use yes or no' mock_input.side_effect = ['input', '', 'no'] self.assertEquals(cli.check_input('prompt', assertion=assertion), 'no') mock_print.assert_called_with('\\tInvalid","= ['input', '', 'no'] self.assertEquals(cli.check_input('prompt', assertion=assertion), 'no') mock_print.assert_called_with('\\tInvalid input: use yes or no')","cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one')","def assertion(value): if value not in ['yes', 'no']: return 'use yes or no'","unittest.mock import patch from easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input):","def test_assertions(self, mock_print, mock_input): def assertion(value): if value not in ['yes', 'no']: return","class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value","@patch('builtins.input') def test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two'","'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print, mock_input): def assertion(value): if value not in","test_assertions(self, mock_print, mock_input): def assertion(value): if value not in ['yes', 'no']: return 'use"],"string":"[\n \"mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input')\",\n \"self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print, mock_input): def assertion(value): if value\",\n \"import TestCase from unittest.mock import patch from easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input')\",\n \"yes or no' mock_input.side_effect = ['input', '', 'no'] self.assertEquals(cli.check_input('prompt', assertion=assertion), 'no') mock_print.assert_called_with('\\\\tInvalid input:\",\n \"mock_input): def assertion(value): if value not in ['yes', 'no']: return 'use yes or\",\n \"not in ['yes', 'no']: return 'use yes or no' mock_input.side_effect = ['input', '',\",\n \"from unittest import TestCase from unittest.mock import patch from easy2fa import cli class\",\n \"TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value =\",\n \"from easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value = ''\",\n \"@patch('builtins.print') def test_assertions(self, mock_print, mock_input): def assertion(value): if value not in ['yes', 'no']:\",\n \"assertion(value): if value not in ['yes', 'no']: return 'use yes or no' mock_input.side_effect\",\n \"'no']: return 'use yes or no' mock_input.side_effect = ['input', '', 'no'] self.assertEquals(cli.check_input('prompt', assertion=assertion),\",\n \"'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print, mock_input): def assertion(value): if\",\n \"return 'use yes or no' mock_input.side_effect = ['input', '', 'no'] self.assertEquals(cli.check_input('prompt', assertion=assertion), 'no')\",\n \"patch from easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value =\",\n \"mock_print, mock_input): def assertion(value): if value not in ['yes', 'no']: return 'use yes\",\n \"mock_input.side_effect = ['input', '', 'no'] self.assertEquals(cli.check_input('prompt', assertion=assertion), 'no') mock_print.assert_called_with('\\\\tInvalid input: use yes or\",\n \"in ['yes', 'no']: return 'use yes or no' mock_input.side_effect = ['input', '', 'no']\",\n \"mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print, mock_input): def\",\n \"import patch from easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value\",\n \"no' mock_input.side_effect = ['input', '', 'no'] self.assertEquals(cli.check_input('prompt', assertion=assertion), 'no') mock_print.assert_called_with('\\\\tInvalid input: use yes\",\n \"TestCase from unittest.mock import patch from easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input') def\",\n \"easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt',\",\n \"@patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print, mock_input): def assertion(value): if value not in ['yes',\",\n \"def test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt',\",\n \"= 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print, mock_input): def assertion(value):\",\n \"default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print, mock_input): def assertion(value): if value not\",\n \"or no' mock_input.side_effect = ['input', '', 'no'] self.assertEquals(cli.check_input('prompt', assertion=assertion), 'no') mock_print.assert_called_with('\\\\tInvalid input: use\",\n \"value not in ['yes', 'no']: return 'use yes or no' mock_input.side_effect = ['input',\",\n \"test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'),\",\n \"from unittest.mock import patch from easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self,\",\n \"import cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'),\",\n \"'' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def\",\n \"default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print,\",\n \"if value not in ['yes', 'no']: return 'use yes or no' mock_input.side_effect =\",\n \"unittest import TestCase from unittest.mock import patch from easy2fa import cli class TestCheckInput(TestCase):\",\n \"['yes', 'no']: return 'use yes or no' mock_input.side_effect = ['input', '', 'no'] self.assertEquals(cli.check_input('prompt',\",\n \"= '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print')\",\n \"self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self,\",\n \"'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print, mock_input):\",\n \"mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two')\",\n \"'use yes or no' mock_input.side_effect = ['input', '', 'no'] self.assertEquals(cli.check_input('prompt', assertion=assertion), 'no') mock_print.assert_called_with('\\\\tInvalid\",\n \"= ['input', '', 'no'] self.assertEquals(cli.check_input('prompt', assertion=assertion), 'no') mock_print.assert_called_with('\\\\tInvalid input: use yes or no')\",\n \"cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one')\",\n \"def assertion(value): if value not in ['yes', 'no']: return 'use yes or no'\",\n \"unittest.mock import patch from easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input):\",\n \"def test_assertions(self, mock_print, mock_input): def assertion(value): if value not in ['yes', 'no']: return\",\n \"class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value\",\n \"@patch('builtins.input') def test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two'\",\n \"'two') @patch('builtins.input') @patch('builtins.print') def test_assertions(self, mock_print, mock_input): def assertion(value): if value not in\",\n \"test_assertions(self, mock_print, mock_input): def assertion(value): if value not in ['yes', 'no']: return 'use\"\n]","isConversational":false}}},{"rowIdx":1986,"cells":{"ngram":{"kind":"list like","value":["= RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs,","= { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } hasoc_german_data_paths = { \"train\":","test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data) self.test_dataloader = DataLoader(","self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels,","DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\"finished creating dataloaders\") \"\"\" ** FOR DEBUGGING **","} ## create dataloaders print(\"creating germeval dataloaders...\") germ_eval_dataloader = GermanDataLoader(germeval_data_paths) print(\"creating hasoc dataloaders...\")","germeval_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } hasoc_german_data_paths = {","self.german_data.test_masks, self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size )","define data paths germeval_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", }","\"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } ## create dataloaders print(\"creating germeval dataloaders...\") germ_eval_dataloader = GermanDataLoader(germeval_data_paths)","for data splits \"\"\" self.german_data.text_to_tensors() print(\"creating dataloaders\") train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels,","FOR DEBUGGING ** if __name__ == \"__main__\": ## define data paths germeval_data_paths =","\"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } ## create dataloaders print(\"creating germeval dataloaders...\") germ_eval_dataloader = GermanDataLoader(germeval_data_paths) print(\"creating","dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size = batch_size self.create_loaders() def create_loaders(self): \"\"\"","model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size = batch_size self.create_loaders() def create_loaders(self): \"\"\" Create Torch",") train_sampler = RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data =","batch_size=self.batch_size ) test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data) self.test_dataloader","self.german_data = dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size = batch_size self.create_loaders() def","= SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data = TensorDataset( self.german_data.test_inputs,","self.german_data.text_to_tensors() print(\"creating dataloaders\") train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler = RandomSampler(train_data)","self.german_data.train_masks, self.german_data.train_labels, ) train_sampler = RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size )","= SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\"finished creating dataloaders\") \"\"\"","SequentialSampler from bert_finetuning.data import GermanData class GermanDataLoader: def __init__( self, data_paths, model_name, do_cleansing,","print(\"creating germeval dataloaders...\") germ_eval_dataloader = GermanDataLoader(germeval_data_paths) print(\"creating hasoc dataloaders...\") hasoc_german_dataloader = GermanDataLoader(hasoc_german_data_paths) \"\"\"","self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels,","{ \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } hasoc_german_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\",","max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size = batch_size self.create_loaders() def create_loaders(self): \"\"\" Create Torch dataloaders",") validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data) self.validation_dataloader =","validation_sampler = SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data = TensorDataset(","dataloaders\") \"\"\" ** FOR DEBUGGING ** if __name__ == \"__main__\": ## define data","dataset_cls=GermanData, ): self.german_data = dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size = batch_size","SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks,","__name__ == \"__main__\": ## define data paths germeval_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\":","print(\"creating dataloaders\") train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler = RandomSampler(train_data) self.train_dataloader","\"\"\" self.german_data.text_to_tensors() print(\"creating dataloaders\") train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler =","def create_loaders(self): \"\"\" Create Torch dataloaders for data splits \"\"\" self.german_data.text_to_tensors() print(\"creating dataloaders\")","= batch_size self.create_loaders() def create_loaders(self): \"\"\" Create Torch dataloaders for data splits \"\"\"","= dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size = batch_size self.create_loaders() def create_loaders(self):","train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler =",") validation_sampler = SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data =","\"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } ## create dataloaders print(\"creating germeval dataloaders...\") germ_eval_dataloader =","batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data) self.validation_dataloader","DEBUGGING ** if __name__ == \"__main__\": ## define data paths germeval_data_paths = {","batch_size=self.batch_size ) print(\"finished creating dataloaders\") \"\"\" ** FOR DEBUGGING ** if __name__ ==","torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler from bert_finetuning.data import GermanData class GermanDataLoader: def","## define data paths germeval_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\",","train_sampler = RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset(","self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data = dataset_cls( data_paths, model_name,","\"__main__\": ## define data paths germeval_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\":","test_sampler = SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\"finished creating dataloaders\")","self.german_data.train_labels, ) train_sampler = RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data","paths germeval_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } hasoc_german_data_paths =","def __init__( self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data = dataset_cls(","Torch dataloaders for data splits \"\"\" self.german_data.text_to_tensors() print(\"creating dataloaders\") train_data = TensorDataset( self.german_data.train_inputs,","do_cleansing=do_cleansing, ) self.batch_size = batch_size self.create_loaders() def create_loaders(self): \"\"\" Create Torch dataloaders for","self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler = RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size","self.test_dataloader = DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\"finished creating dataloaders\") \"\"\" ** FOR","= DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\"finished creating dataloaders\") \"\"\" ** FOR DEBUGGING","dataloaders\") train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler = RandomSampler(train_data) self.train_dataloader =","data paths germeval_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } hasoc_german_data_paths","** if __name__ == \"__main__\": ## define data paths germeval_data_paths = { \"train\":","data splits \"\"\" self.german_data.text_to_tensors() print(\"creating dataloaders\") train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, )","\"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } hasoc_german_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\":","__init__( self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data = dataset_cls( data_paths,","self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\"finished","max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data = dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size","DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler","{ \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } ## create dataloaders print(\"creating germeval","= DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, )","SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\"finished creating dataloaders\") \"\"\" **","bert_finetuning.data import GermanData class GermanDataLoader: def __init__( self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8,","data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size = batch_size self.create_loaders() def create_loaders(self): \"\"\" Create","validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data) self.validation_dataloader = DataLoader(","= TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler = RandomSampler(train_data) self.train_dataloader = DataLoader( train_data,","self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size )","} hasoc_german_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } ## create","= { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } ## create dataloaders print(\"creating","create dataloaders print(\"creating germeval dataloaders...\") germ_eval_dataloader = GermanDataLoader(germeval_data_paths) print(\"creating hasoc dataloaders...\") hasoc_german_dataloader =","from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler from bert_finetuning.data import GermanData class GermanDataLoader:",") self.batch_size = batch_size self.create_loaders() def create_loaders(self): \"\"\" Create Torch dataloaders for data","\"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } hasoc_german_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\",","model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data = dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing,","TensorDataset, DataLoader, RandomSampler, SequentialSampler from bert_finetuning.data import GermanData class GermanDataLoader: def __init__( self,","= TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data,","\"\"\" ** FOR DEBUGGING ** if __name__ == \"__main__\": ## define data paths","dataloaders for data splits \"\"\" self.german_data.text_to_tensors() print(\"creating dataloaders\") train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks,","class GermanDataLoader: def __init__( self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data","DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler","if __name__ == \"__main__\": ## define data paths germeval_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\",","batch_size self.create_loaders() def create_loaders(self): \"\"\" Create Torch dataloaders for data splits \"\"\" self.german_data.text_to_tensors()",") print(\"finished creating dataloaders\") \"\"\" ** FOR DEBUGGING ** if __name__ == \"__main__\":","RandomSampler, SequentialSampler from bert_finetuning.data import GermanData class GermanDataLoader: def __init__( self, data_paths, model_name,","create_loaders(self): \"\"\" Create Torch dataloaders for data splits \"\"\" self.german_data.text_to_tensors() print(\"creating dataloaders\") train_data","= TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data,","Create Torch dataloaders for data splits \"\"\" self.german_data.text_to_tensors() print(\"creating dataloaders\") train_data = TensorDataset(","sampler=test_sampler, batch_size=self.batch_size ) print(\"finished creating dataloaders\") \"\"\" ** FOR DEBUGGING ** if __name__","creating dataloaders\") \"\"\" ** FOR DEBUGGING ** if __name__ == \"__main__\": ## define","test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\"finished creating dataloaders\") \"\"\" ** FOR DEBUGGING ** if","** FOR DEBUGGING ** if __name__ == \"__main__\": ## define data paths germeval_data_paths","dataloaders print(\"creating germeval dataloaders...\") germ_eval_dataloader = GermanDataLoader(germeval_data_paths) print(\"creating hasoc dataloaders...\") hasoc_german_dataloader = GermanDataLoader(hasoc_german_data_paths)","from bert_finetuning.data import GermanData class GermanDataLoader: def __init__( self, data_paths, model_name, do_cleansing, max_sequence_length,","GermanDataLoader: def __init__( self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data =","sampler=validation_sampler, batch_size=self.batch_size ) test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data)","= DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, )","do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data = dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, )","\"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } ## create dataloaders print(\"creating germeval dataloaders...\") germ_eval_dataloader","splits \"\"\" self.german_data.text_to_tensors() print(\"creating dataloaders\") train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler","\"\"\" Create Torch dataloaders for data splits \"\"\" self.german_data.text_to_tensors() print(\"creating dataloaders\") train_data =","TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data, sampler=test_sampler,","self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data","GermanData class GermanDataLoader: def __init__( self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ):","): self.german_data = dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size = batch_size self.create_loaders()","TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler,","\"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } hasoc_german_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", }","TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler = RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler,","self.batch_size = batch_size self.create_loaders() def create_loaders(self): \"\"\" Create Torch dataloaders for data splits","== \"__main__\": ## define data paths germeval_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\",","validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler =","RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks,","import GermanData class GermanDataLoader: def __init__( self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData,","\"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } ## create dataloaders print(\"creating germeval dataloaders...\")","self.create_loaders() def create_loaders(self): \"\"\" Create Torch dataloaders for data splits \"\"\" self.german_data.text_to_tensors() print(\"creating","print(\"finished creating dataloaders\") \"\"\" ** FOR DEBUGGING ** if __name__ == \"__main__\": ##","import TensorDataset, DataLoader, RandomSampler, SequentialSampler from bert_finetuning.data import GermanData class GermanDataLoader: def __init__(",") test_sampler = SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\"finished creating",") test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data) self.test_dataloader =","## create dataloaders print(\"creating germeval dataloaders...\") germ_eval_dataloader = GermanDataLoader(germeval_data_paths) print(\"creating hasoc dataloaders...\") hasoc_german_dataloader","data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data = dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length,","batch_size=8, dataset_cls=GermanData, ): self.german_data = dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size =","hasoc_german_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } ## create dataloaders","\"./datasets/hasoc_dataset/hasoc_german_test.csv\", } ## create dataloaders print(\"creating germeval dataloaders...\") germ_eval_dataloader = GermanDataLoader(germeval_data_paths) print(\"creating hasoc","sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data)","\"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } hasoc_german_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\":","self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size","train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler = RandomSampler(train_data) self.train_dataloader = DataLoader(","\"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } hasoc_german_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\",","DataLoader, RandomSampler, SequentialSampler from bert_finetuning.data import GermanData class GermanDataLoader: def __init__( self, data_paths,","self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size","\"./datasets/hasoc_dataset/hasoc_german_test.csv\", } hasoc_german_data_paths = { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_german_validation.csv\", \"test\": \"./datasets/hasoc_dataset/hasoc_german_test.csv\", } ##"],"string":"[\n \"= RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs,\",\n \"= { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } hasoc_german_data_paths = { \\\"train\\\":\",\n \"test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data) self.test_dataloader = DataLoader(\",\n \"self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels,\",\n \"DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\\\"finished creating dataloaders\\\") \\\"\\\"\\\" ** FOR DEBUGGING **\",\n \"} ## create dataloaders print(\\\"creating germeval dataloaders...\\\") germ_eval_dataloader = GermanDataLoader(germeval_data_paths) print(\\\"creating hasoc dataloaders...\\\")\",\n \"germeval_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } hasoc_german_data_paths = {\",\n \"self.german_data.test_masks, self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size )\",\n \"define data paths germeval_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", }\",\n \"\\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } ## create dataloaders print(\\\"creating germeval dataloaders...\\\") germ_eval_dataloader = GermanDataLoader(germeval_data_paths)\",\n \"for data splits \\\"\\\"\\\" self.german_data.text_to_tensors() print(\\\"creating dataloaders\\\") train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels,\",\n \"FOR DEBUGGING ** if __name__ == \\\"__main__\\\": ## define data paths germeval_data_paths =\",\n \"\\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } ## create dataloaders print(\\\"creating germeval dataloaders...\\\") germ_eval_dataloader = GermanDataLoader(germeval_data_paths) print(\\\"creating\",\n \"dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size = batch_size self.create_loaders() def create_loaders(self): \\\"\\\"\\\"\",\n \"model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size = batch_size self.create_loaders() def create_loaders(self): \\\"\\\"\\\" Create Torch\",\n \") train_sampler = RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data =\",\n \"batch_size=self.batch_size ) test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data) self.test_dataloader\",\n \"self.german_data = dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size = batch_size self.create_loaders() def\",\n \"= SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data = TensorDataset( self.german_data.test_inputs,\",\n \"self.german_data.text_to_tensors() print(\\\"creating dataloaders\\\") train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler = RandomSampler(train_data)\",\n \"self.german_data.train_masks, self.german_data.train_labels, ) train_sampler = RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size )\",\n \"= SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\\\"finished creating dataloaders\\\") \\\"\\\"\\\"\",\n \"SequentialSampler from bert_finetuning.data import GermanData class GermanDataLoader: def __init__( self, data_paths, model_name, do_cleansing,\",\n \"print(\\\"creating germeval dataloaders...\\\") germ_eval_dataloader = GermanDataLoader(germeval_data_paths) print(\\\"creating hasoc dataloaders...\\\") hasoc_german_dataloader = GermanDataLoader(hasoc_german_data_paths) \\\"\\\"\\\"\",\n \"self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels,\",\n \"{ \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } hasoc_german_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\",\",\n \"max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size = batch_size self.create_loaders() def create_loaders(self): \\\"\\\"\\\" Create Torch dataloaders\",\n \") validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data) self.validation_dataloader =\",\n \"validation_sampler = SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data = TensorDataset(\",\n \"dataloaders\\\") \\\"\\\"\\\" ** FOR DEBUGGING ** if __name__ == \\\"__main__\\\": ## define data\",\n \"dataset_cls=GermanData, ): self.german_data = dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size = batch_size\",\n \"SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks,\",\n \"__name__ == \\\"__main__\\\": ## define data paths germeval_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\":\",\n \"print(\\\"creating dataloaders\\\") train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler = RandomSampler(train_data) self.train_dataloader\",\n \"\\\"\\\"\\\" self.german_data.text_to_tensors() print(\\\"creating dataloaders\\\") train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler =\",\n \"def create_loaders(self): \\\"\\\"\\\" Create Torch dataloaders for data splits \\\"\\\"\\\" self.german_data.text_to_tensors() print(\\\"creating dataloaders\\\")\",\n \"= batch_size self.create_loaders() def create_loaders(self): \\\"\\\"\\\" Create Torch dataloaders for data splits \\\"\\\"\\\"\",\n \"= dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size = batch_size self.create_loaders() def create_loaders(self):\",\n \"train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler =\",\n \") validation_sampler = SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data =\",\n \"\\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } ## create dataloaders print(\\\"creating germeval dataloaders...\\\") germ_eval_dataloader =\",\n \"batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data) self.validation_dataloader\",\n \"DEBUGGING ** if __name__ == \\\"__main__\\\": ## define data paths germeval_data_paths = {\",\n \"batch_size=self.batch_size ) print(\\\"finished creating dataloaders\\\") \\\"\\\"\\\" ** FOR DEBUGGING ** if __name__ ==\",\n \"torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler from bert_finetuning.data import GermanData class GermanDataLoader: def\",\n \"## define data paths germeval_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\",\",\n \"train_sampler = RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset(\",\n \"self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data = dataset_cls( data_paths, model_name,\",\n \"\\\"__main__\\\": ## define data paths germeval_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\":\",\n \"test_sampler = SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\\\"finished creating dataloaders\\\")\",\n \"self.german_data.train_labels, ) train_sampler = RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data\",\n \"paths germeval_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } hasoc_german_data_paths =\",\n \"def __init__( self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data = dataset_cls(\",\n \"Torch dataloaders for data splits \\\"\\\"\\\" self.german_data.text_to_tensors() print(\\\"creating dataloaders\\\") train_data = TensorDataset( self.german_data.train_inputs,\",\n \"do_cleansing=do_cleansing, ) self.batch_size = batch_size self.create_loaders() def create_loaders(self): \\\"\\\"\\\" Create Torch dataloaders for\",\n \"self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler = RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size\",\n \"self.test_dataloader = DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\\\"finished creating dataloaders\\\") \\\"\\\"\\\" ** FOR\",\n \"= DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\\\"finished creating dataloaders\\\") \\\"\\\"\\\" ** FOR DEBUGGING\",\n \"dataloaders\\\") train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler = RandomSampler(train_data) self.train_dataloader =\",\n \"data paths germeval_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } hasoc_german_data_paths\",\n \"** if __name__ == \\\"__main__\\\": ## define data paths germeval_data_paths = { \\\"train\\\":\",\n \"data splits \\\"\\\"\\\" self.german_data.text_to_tensors() print(\\\"creating dataloaders\\\") train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, )\",\n \"\\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } hasoc_german_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\":\",\n \"__init__( self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data = dataset_cls( data_paths,\",\n \"self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\\\"finished\",\n \"max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data = dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size\",\n \"DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler\",\n \"{ \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } ## create dataloaders print(\\\"creating germeval\",\n \"= DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, )\",\n \"SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\\\"finished creating dataloaders\\\") \\\"\\\"\\\" **\",\n \"bert_finetuning.data import GermanData class GermanDataLoader: def __init__( self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8,\",\n \"data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size = batch_size self.create_loaders() def create_loaders(self): \\\"\\\"\\\" Create\",\n \"validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data) self.validation_dataloader = DataLoader(\",\n \"= TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler = RandomSampler(train_data) self.train_dataloader = DataLoader( train_data,\",\n \"self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size )\",\n \"} hasoc_german_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } ## create\",\n \"= { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } ## create dataloaders print(\\\"creating\",\n \"create dataloaders print(\\\"creating germeval dataloaders...\\\") germ_eval_dataloader = GermanDataLoader(germeval_data_paths) print(\\\"creating hasoc dataloaders...\\\") hasoc_german_dataloader =\",\n \"from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler from bert_finetuning.data import GermanData class GermanDataLoader:\",\n \") self.batch_size = batch_size self.create_loaders() def create_loaders(self): \\\"\\\"\\\" Create Torch dataloaders for data\",\n \"\\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } hasoc_german_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\",\",\n \"model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data = dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing,\",\n \"TensorDataset, DataLoader, RandomSampler, SequentialSampler from bert_finetuning.data import GermanData class GermanDataLoader: def __init__( self,\",\n \"= TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data,\",\n \"\\\"\\\"\\\" ** FOR DEBUGGING ** if __name__ == \\\"__main__\\\": ## define data paths\",\n \"dataloaders for data splits \\\"\\\"\\\" self.german_data.text_to_tensors() print(\\\"creating dataloaders\\\") train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks,\",\n \"class GermanDataLoader: def __init__( self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data\",\n \"DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler\",\n \"if __name__ == \\\"__main__\\\": ## define data paths germeval_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\",\",\n \"batch_size self.create_loaders() def create_loaders(self): \\\"\\\"\\\" Create Torch dataloaders for data splits \\\"\\\"\\\" self.german_data.text_to_tensors()\",\n \") print(\\\"finished creating dataloaders\\\") \\\"\\\"\\\" ** FOR DEBUGGING ** if __name__ == \\\"__main__\\\":\",\n \"RandomSampler, SequentialSampler from bert_finetuning.data import GermanData class GermanDataLoader: def __init__( self, data_paths, model_name,\",\n \"create_loaders(self): \\\"\\\"\\\" Create Torch dataloaders for data splits \\\"\\\"\\\" self.german_data.text_to_tensors() print(\\\"creating dataloaders\\\") train_data\",\n \"= TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data,\",\n \"Create Torch dataloaders for data splits \\\"\\\"\\\" self.german_data.text_to_tensors() print(\\\"creating dataloaders\\\") train_data = TensorDataset(\",\n \"sampler=test_sampler, batch_size=self.batch_size ) print(\\\"finished creating dataloaders\\\") \\\"\\\"\\\" ** FOR DEBUGGING ** if __name__\",\n \"creating dataloaders\\\") \\\"\\\"\\\" ** FOR DEBUGGING ** if __name__ == \\\"__main__\\\": ## define\",\n \"test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\\\"finished creating dataloaders\\\") \\\"\\\"\\\" ** FOR DEBUGGING ** if\",\n \"** FOR DEBUGGING ** if __name__ == \\\"__main__\\\": ## define data paths germeval_data_paths\",\n \"dataloaders print(\\\"creating germeval dataloaders...\\\") germ_eval_dataloader = GermanDataLoader(germeval_data_paths) print(\\\"creating hasoc dataloaders...\\\") hasoc_german_dataloader = GermanDataLoader(hasoc_german_data_paths)\",\n \"from bert_finetuning.data import GermanData class GermanDataLoader: def __init__( self, data_paths, model_name, do_cleansing, max_sequence_length,\",\n \"GermanDataLoader: def __init__( self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data =\",\n \"sampler=validation_sampler, batch_size=self.batch_size ) test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data)\",\n \"= DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, )\",\n \"do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data = dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, )\",\n \"\\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } ## create dataloaders print(\\\"creating germeval dataloaders...\\\") germ_eval_dataloader\",\n \"splits \\\"\\\"\\\" self.german_data.text_to_tensors() print(\\\"creating dataloaders\\\") train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler\",\n \"\\\"\\\"\\\" Create Torch dataloaders for data splits \\\"\\\"\\\" self.german_data.text_to_tensors() print(\\\"creating dataloaders\\\") train_data =\",\n \"TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data, sampler=test_sampler,\",\n \"self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data\",\n \"GermanData class GermanDataLoader: def __init__( self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ):\",\n \"): self.german_data = dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size = batch_size self.create_loaders()\",\n \"TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler,\",\n \"\\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } hasoc_german_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", }\",\n \"TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler = RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler,\",\n \"self.batch_size = batch_size self.create_loaders() def create_loaders(self): \\\"\\\"\\\" Create Torch dataloaders for data splits\",\n \"== \\\"__main__\\\": ## define data paths germeval_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\",\",\n \"validation_data, sampler=validation_sampler, batch_size=self.batch_size ) test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler =\",\n \"RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks,\",\n \"import GermanData class GermanDataLoader: def __init__( self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData,\",\n \"\\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } ## create dataloaders print(\\\"creating germeval dataloaders...\\\")\",\n \"self.create_loaders() def create_loaders(self): \\\"\\\"\\\" Create Torch dataloaders for data splits \\\"\\\"\\\" self.german_data.text_to_tensors() print(\\\"creating\",\n \"print(\\\"finished creating dataloaders\\\") \\\"\\\"\\\" ** FOR DEBUGGING ** if __name__ == \\\"__main__\\\": ##\",\n \"import TensorDataset, DataLoader, RandomSampler, SequentialSampler from bert_finetuning.data import GermanData class GermanDataLoader: def __init__(\",\n \") test_sampler = SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size ) print(\\\"finished creating\",\n \") test_data = TensorDataset( self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data) self.test_dataloader =\",\n \"## create dataloaders print(\\\"creating germeval dataloaders...\\\") germ_eval_dataloader = GermanDataLoader(germeval_data_paths) print(\\\"creating hasoc dataloaders...\\\") hasoc_german_dataloader\",\n \"data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, dataset_cls=GermanData, ): self.german_data = dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length,\",\n \"batch_size=8, dataset_cls=GermanData, ): self.german_data = dataset_cls( data_paths, model_name, max_sequence_length=max_sequence_length, do_cleansing=do_cleansing, ) self.batch_size =\",\n \"hasoc_german_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } ## create dataloaders\",\n \"\\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } ## create dataloaders print(\\\"creating germeval dataloaders...\\\") germ_eval_dataloader = GermanDataLoader(germeval_data_paths) print(\\\"creating hasoc\",\n \"sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data)\",\n \"\\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } hasoc_german_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\":\",\n \"self.german_data.test_inputs, self.german_data.test_masks, self.german_data.test_labels, ) test_sampler = SequentialSampler(test_data) self.test_dataloader = DataLoader( test_data, sampler=test_sampler, batch_size=self.batch_size\",\n \"train_data = TensorDataset( self.german_data.train_inputs, self.german_data.train_masks, self.german_data.train_labels, ) train_sampler = RandomSampler(train_data) self.train_dataloader = DataLoader(\",\n \"\\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } hasoc_german_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\",\",\n \"DataLoader, RandomSampler, SequentialSampler from bert_finetuning.data import GermanData class GermanDataLoader: def __init__( self, data_paths,\",\n \"self.german_data.validation_inputs, self.german_data.validation_masks, self.german_data.validation_labels, ) validation_sampler = SequentialSampler(validation_data) self.validation_dataloader = DataLoader( validation_data, sampler=validation_sampler, batch_size=self.batch_size\",\n \"\\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } hasoc_german_data_paths = { \\\"train\\\": \\\"./datasets/hasoc_dataset/hasoc_german_train.csv\\\", \\\"dev\\\": \\\"./datasets/hasoc_dataset/hasoc_german_validation.csv\\\", \\\"test\\\": \\\"./datasets/hasoc_dataset/hasoc_german_test.csv\\\", } ##\"\n]","isConversational":false}}},{"rowIdx":1987,"cells":{"ngram":{"kind":"list like","value":["list(range(num_train)) split = int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split]","= data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader = torch.utils.data.DataLoader(test_dataset, batch_size=batch_size, shuffle=False, num_workers=0)","and (val_size <= 1), error_msg # load the dataset mnist_train_dataset, _ = create_MNIST_dataset()","data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),]","import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg","int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split] train_subset = Subset(train_dataset,","[mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader = torch.utils.data.DataLoader(test_dataset, batch_size=batch_size, shuffle=False, num_workers=0) return test_loader","import torch.utils.data as data from torch.utils.data import Subset from data.fast_mnist import create_MNIST_dataset from","def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg = \"[!] val_size should be in","# load the dataset mnist_train_dataset, _ = create_MNIST_dataset() # AmbiguousMNIST does whiten the","np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split] train_subset = Subset(train_dataset, train_idx) valid_subset =","if torch.cuda.is_available() else \"cpu\") test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader","\"cpu\") train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset = data.ConcatDataset( [mnist_train_dataset,","AmbiguousMNIST(root=root, train=True, device=device),] ) num_train = len(train_dataset) indices = list(range(num_train)) split = int(np.floor(val_size","data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) num_train = len(train_dataset) indices = list(range(num_train)) split","does whiten the data itself device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") train_dataset","load the dataset _, mnist_test_dataset = create_MNIST_dataset() device = torch.device(\"cuda\" if torch.cuda.is_available() else","1), error_msg # load the dataset mnist_train_dataset, _ = create_MNIST_dataset() # AmbiguousMNIST does","train=True, device=device),] ) valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) num_train =","valid_subset = Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset,","valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return train_loader, valid_loader def get_test_loader(root, batch_size, **kwargs):","= torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),]","* num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split] train_subset = Subset(train_dataset, train_idx)","# load the dataset _, mnist_test_dataset = create_MNIST_dataset() device = torch.device(\"cuda\" if torch.cuda.is_available()","= create_MNIST_dataset() device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") test_dataset = data.ConcatDataset( [mnist_test_dataset,","data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader = torch.utils.data.DataLoader(test_dataset, batch_size=batch_size, shuffle=False, num_workers=0) return","1].\" assert (val_size >= 0) and (val_size <= 1), error_msg # load the","(val_size >= 0) and (val_size <= 1), error_msg # load the dataset mnist_train_dataset,",") num_train = len(train_dataset) indices = list(range(num_train)) split = int(np.floor(val_size * num_train)) np.random.seed(val_seed)","else \"cpu\") test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader = torch.utils.data.DataLoader(test_dataset,","val_size=0.1, **kwargs): error_msg = \"[!] val_size should be in the range [0, 1].\"","AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) num_train","the range [0, 1].\" assert (val_size >= 0) and (val_size <= 1), error_msg","torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] )","[0, 1].\" assert (val_size >= 0) and (val_size <= 1), error_msg # load","return train_loader, valid_loader def get_test_loader(root, batch_size, **kwargs): # load the dataset _, mnist_test_dataset","torch.utils.data import Subset from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root,","create_MNIST_dataset() device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root,","<= 1), error_msg # load the dataset mnist_train_dataset, _ = create_MNIST_dataset() # AmbiguousMNIST","_ = create_MNIST_dataset() # AmbiguousMNIST does whiten the data itself device = torch.device(\"cuda\"","= torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),]","data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg = \"[!] val_size","[mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] )","device=device),] ) num_train = len(train_dataset) indices = list(range(num_train)) split = int(np.floor(val_size * num_train))","load the dataset mnist_train_dataset, _ = create_MNIST_dataset() # AmbiguousMNIST does whiten the data","train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root,","val_seed=1, val_size=0.1, **kwargs): error_msg = \"[!] val_size should be in the range [0,","<reponame>Karthik-Ragunath/DDU<filename>data/dirty_mnist.py import torch import numpy as np import torch.utils.data as data from torch.utils.data","_, mnist_test_dataset = create_MNIST_dataset() device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") test_dataset =","data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs):","mnist_test_dataset = create_MNIST_dataset() device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") test_dataset = data.ConcatDataset(","[mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) num_train = len(train_dataset) indices = list(range(num_train)) split =","0) and (val_size <= 1), error_msg # load the dataset mnist_train_dataset, _ =","= Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size,","get_test_loader(root, batch_size, **kwargs): # load the dataset _, mnist_test_dataset = create_MNIST_dataset() device =","should be in the range [0, 1].\" assert (val_size >= 0) and (val_size","num_train = len(train_dataset) indices = list(range(num_train)) split = int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices)","= torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return train_loader, valid_loader def get_test_loader(root, batch_size, **kwargs): #","indices[split:], indices[:split] train_subset = Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset,",">= 0) and (val_size <= 1), error_msg # load the dataset mnist_train_dataset, _","Subset from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1,","device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False,","# AmbiguousMNIST does whiten the data itself device = torch.device(\"cuda\" if torch.cuda.is_available() else","= \"[!] val_size should be in the range [0, 1].\" assert (val_size >=","dataset mnist_train_dataset, _ = create_MNIST_dataset() # AmbiguousMNIST does whiten the data itself device","whiten the data itself device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") train_dataset =","**kwargs): error_msg = \"[!] val_size should be in the range [0, 1].\" assert","get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg = \"[!] val_size should be in the","(val_size <= 1), error_msg # load the dataset mnist_train_dataset, _ = create_MNIST_dataset() #","train_idx, valid_idx = indices[split:], indices[:split] train_subset = Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset, valid_idx)","batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg = \"[!] val_size should be in the range","= len(train_dataset) indices = list(range(num_train)) split = int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx,","data from torch.utils.data import Subset from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST","= int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split] train_subset =","train=True, device=device),] ) num_train = len(train_dataset) indices = list(range(num_train)) split = int(np.floor(val_size *","num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return train_loader, valid_loader def get_test_loader(root,","AmbiguousMNIST does whiten the data itself device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")","numpy as np import torch.utils.data as data from torch.utils.data import Subset from data.fast_mnist","shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return train_loader, valid_loader def get_test_loader(root, batch_size,","be in the range [0, 1].\" assert (val_size >= 0) and (val_size <=","valid_loader def get_test_loader(root, batch_size, **kwargs): # load the dataset _, mnist_test_dataset = create_MNIST_dataset()","assert (val_size >= 0) and (val_size <= 1), error_msg # load the dataset","torch import numpy as np import torch.utils.data as data from torch.utils.data import Subset","= list(range(num_train)) split = int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:],","import Subset from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size,","Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader","shuffle=False) return train_loader, valid_loader def get_test_loader(root, batch_size, **kwargs): # load the dataset _,","torch.utils.data as data from torch.utils.data import Subset from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset","np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split] train_subset = Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset,","= Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True)","Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0,","\"cpu\") test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader = torch.utils.data.DataLoader(test_dataset, batch_size=batch_size,","device=device),] ) valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) num_train = len(train_dataset)","test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader = torch.utils.data.DataLoader(test_dataset, batch_size=batch_size, shuffle=False,","torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return train_loader, valid_loader","batch_size=batch_size, num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return train_loader, valid_loader def","itself device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root,","device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True,","AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg = \"[!] val_size should be","range [0, 1].\" assert (val_size >= 0) and (val_size <= 1), error_msg #","from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1,","def get_test_loader(root, batch_size, **kwargs): # load the dataset _, mnist_test_dataset = create_MNIST_dataset() device","the dataset _, mnist_test_dataset = create_MNIST_dataset() device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")","create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg =","train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return","in the range [0, 1].\" assert (val_size >= 0) and (val_size <= 1),","batch_size=batch_size, num_workers=0, shuffle=False) return train_loader, valid_loader def get_test_loader(root, batch_size, **kwargs): # load the","train_idx) valid_subset = Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader =","indices = list(range(num_train)) split = int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx =","else \"cpu\") train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset = data.ConcatDataset(","num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split] train_subset = Subset(train_dataset, train_idx) valid_subset","torch.cuda.is_available() else \"cpu\") train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset =","train_loader, valid_loader def get_test_loader(root, batch_size, **kwargs): # load the dataset _, mnist_test_dataset =","mnist_train_dataset, _ = create_MNIST_dataset() # AmbiguousMNIST does whiten the data itself device =","data itself device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") train_dataset = data.ConcatDataset( [mnist_train_dataset,","create_MNIST_dataset() # AmbiguousMNIST does whiten the data itself device = torch.device(\"cuda\" if torch.cuda.is_available()","valid_idx = indices[split:], indices[:split] train_subset = Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset, valid_idx) train_loader","val_size should be in the range [0, 1].\" assert (val_size >= 0) and","valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False)","= data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True,","batch_size, **kwargs): # load the dataset _, mnist_test_dataset = create_MNIST_dataset() device = torch.device(\"cuda\"","the data itself device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") train_dataset = data.ConcatDataset(","torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return train_loader, valid_loader def get_test_loader(root, batch_size, **kwargs): # load","= create_MNIST_dataset() # AmbiguousMNIST does whiten the data itself device = torch.device(\"cuda\" if","split = int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split] train_subset","error_msg # load the dataset mnist_train_dataset, _ = create_MNIST_dataset() # AmbiguousMNIST does whiten","valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) num_train = len(train_dataset) indices =","as np import torch.utils.data as data from torch.utils.data import Subset from data.fast_mnist import","import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg = \"[!] val_size should","from torch.utils.data import Subset from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def","import numpy as np import torch.utils.data as data from torch.utils.data import Subset from","np import torch.utils.data as data from torch.utils.data import Subset from data.fast_mnist import create_MNIST_dataset","len(train_dataset) indices = list(range(num_train)) split = int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx","torch.cuda.is_available() else \"cpu\") test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader =","= torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return train_loader,",") valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) num_train = len(train_dataset) indices","as data from torch.utils.data import Subset from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import","torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] )","= indices[split:], indices[:split] train_subset = Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset, valid_idx) train_loader =","train_subset = Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0,","= data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) num_train = len(train_dataset) indices = list(range(num_train))","num_workers=0, shuffle=False) return train_loader, valid_loader def get_test_loader(root, batch_size, **kwargs): # load the dataset","dataset _, mnist_test_dataset = create_MNIST_dataset() device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") test_dataset","the dataset mnist_train_dataset, _ = create_MNIST_dataset() # AmbiguousMNIST does whiten the data itself","error_msg = \"[!] val_size should be in the range [0, 1].\" assert (val_size","if torch.cuda.is_available() else \"cpu\") train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset","from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg = \"[!]","indices[:split] train_subset = Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size,","**kwargs): # load the dataset _, mnist_test_dataset = create_MNIST_dataset() device = torch.device(\"cuda\" if","import torch import numpy as np import torch.utils.data as data from torch.utils.data import","\"[!] val_size should be in the range [0, 1].\" assert (val_size >= 0)"],"string":"[\n \"list(range(num_train)) split = int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split]\",\n \"= data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader = torch.utils.data.DataLoader(test_dataset, batch_size=batch_size, shuffle=False, num_workers=0)\",\n \"and (val_size <= 1), error_msg # load the dataset mnist_train_dataset, _ = create_MNIST_dataset()\",\n \"data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),]\",\n \"import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg\",\n \"int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split] train_subset = Subset(train_dataset,\",\n \"[mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader = torch.utils.data.DataLoader(test_dataset, batch_size=batch_size, shuffle=False, num_workers=0) return test_loader\",\n \"import torch.utils.data as data from torch.utils.data import Subset from data.fast_mnist import create_MNIST_dataset from\",\n \"def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg = \\\"[!] val_size should be in\",\n \"# load the dataset mnist_train_dataset, _ = create_MNIST_dataset() # AmbiguousMNIST does whiten the\",\n \"np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split] train_subset = Subset(train_dataset, train_idx) valid_subset =\",\n \"if torch.cuda.is_available() else \\\"cpu\\\") test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader\",\n \"\\\"cpu\\\") train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset = data.ConcatDataset( [mnist_train_dataset,\",\n \"AmbiguousMNIST(root=root, train=True, device=device),] ) num_train = len(train_dataset) indices = list(range(num_train)) split = int(np.floor(val_size\",\n \"data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) num_train = len(train_dataset) indices = list(range(num_train)) split\",\n \"does whiten the data itself device = torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\") train_dataset\",\n \"load the dataset _, mnist_test_dataset = create_MNIST_dataset() device = torch.device(\\\"cuda\\\" if torch.cuda.is_available() else\",\n \"1), error_msg # load the dataset mnist_train_dataset, _ = create_MNIST_dataset() # AmbiguousMNIST does\",\n \"train=True, device=device),] ) valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) num_train =\",\n \"valid_subset = Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset,\",\n \"valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return train_loader, valid_loader def get_test_loader(root, batch_size, **kwargs):\",\n \"= torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\") train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),]\",\n \"* num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split] train_subset = Subset(train_dataset, train_idx)\",\n \"# load the dataset _, mnist_test_dataset = create_MNIST_dataset() device = torch.device(\\\"cuda\\\" if torch.cuda.is_available()\",\n \"= create_MNIST_dataset() device = torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\") test_dataset = data.ConcatDataset( [mnist_test_dataset,\",\n \"data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader = torch.utils.data.DataLoader(test_dataset, batch_size=batch_size, shuffle=False, num_workers=0) return\",\n \"1].\\\" assert (val_size >= 0) and (val_size <= 1), error_msg # load the\",\n \"(val_size >= 0) and (val_size <= 1), error_msg # load the dataset mnist_train_dataset,\",\n \") num_train = len(train_dataset) indices = list(range(num_train)) split = int(np.floor(val_size * num_train)) np.random.seed(val_seed)\",\n \"else \\\"cpu\\\") test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader = torch.utils.data.DataLoader(test_dataset,\",\n \"val_size=0.1, **kwargs): error_msg = \\\"[!] val_size should be in the range [0, 1].\\\"\",\n \"AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) num_train\",\n \"the range [0, 1].\\\" assert (val_size >= 0) and (val_size <= 1), error_msg\",\n \"torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\") train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] )\",\n \"[0, 1].\\\" assert (val_size >= 0) and (val_size <= 1), error_msg # load\",\n \"return train_loader, valid_loader def get_test_loader(root, batch_size, **kwargs): # load the dataset _, mnist_test_dataset\",\n \"torch.utils.data import Subset from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root,\",\n \"create_MNIST_dataset() device = torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\") test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root,\",\n \"<= 1), error_msg # load the dataset mnist_train_dataset, _ = create_MNIST_dataset() # AmbiguousMNIST\",\n \"_ = create_MNIST_dataset() # AmbiguousMNIST does whiten the data itself device = torch.device(\\\"cuda\\\"\",\n \"= torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\") test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),]\",\n \"data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg = \\\"[!] val_size\",\n \"[mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] )\",\n \"device=device),] ) num_train = len(train_dataset) indices = list(range(num_train)) split = int(np.floor(val_size * num_train))\",\n \"load the dataset mnist_train_dataset, _ = create_MNIST_dataset() # AmbiguousMNIST does whiten the data\",\n \"train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root,\",\n \"val_seed=1, val_size=0.1, **kwargs): error_msg = \\\"[!] val_size should be in the range [0,\",\n \"<reponame>Karthik-Ragunath/DDU<filename>data/dirty_mnist.py import torch import numpy as np import torch.utils.data as data from torch.utils.data\",\n \"_, mnist_test_dataset = create_MNIST_dataset() device = torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\") test_dataset =\",\n \"data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs):\",\n \"mnist_test_dataset = create_MNIST_dataset() device = torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\") test_dataset = data.ConcatDataset(\",\n \"[mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) num_train = len(train_dataset) indices = list(range(num_train)) split =\",\n \"0) and (val_size <= 1), error_msg # load the dataset mnist_train_dataset, _ =\",\n \"= Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size,\",\n \"get_test_loader(root, batch_size, **kwargs): # load the dataset _, mnist_test_dataset = create_MNIST_dataset() device =\",\n \"should be in the range [0, 1].\\\" assert (val_size >= 0) and (val_size\",\n \"num_train = len(train_dataset) indices = list(range(num_train)) split = int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices)\",\n \"= torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return train_loader, valid_loader def get_test_loader(root, batch_size, **kwargs): #\",\n \"indices[split:], indices[:split] train_subset = Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset,\",\n \">= 0) and (val_size <= 1), error_msg # load the dataset mnist_train_dataset, _\",\n \"Subset from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1,\",\n \"device = torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\") test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False,\",\n \"# AmbiguousMNIST does whiten the data itself device = torch.device(\\\"cuda\\\" if torch.cuda.is_available() else\",\n \"= \\\"[!] val_size should be in the range [0, 1].\\\" assert (val_size >=\",\n \"dataset mnist_train_dataset, _ = create_MNIST_dataset() # AmbiguousMNIST does whiten the data itself device\",\n \"whiten the data itself device = torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\") train_dataset =\",\n \"**kwargs): error_msg = \\\"[!] val_size should be in the range [0, 1].\\\" assert\",\n \"get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg = \\\"[!] val_size should be in the\",\n \"(val_size <= 1), error_msg # load the dataset mnist_train_dataset, _ = create_MNIST_dataset() #\",\n \"train_idx, valid_idx = indices[split:], indices[:split] train_subset = Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset, valid_idx)\",\n \"batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg = \\\"[!] val_size should be in the range\",\n \"= len(train_dataset) indices = list(range(num_train)) split = int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx,\",\n \"data from torch.utils.data import Subset from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST\",\n \"= int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split] train_subset =\",\n \"train=True, device=device),] ) num_train = len(train_dataset) indices = list(range(num_train)) split = int(np.floor(val_size *\",\n \"num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return train_loader, valid_loader def get_test_loader(root,\",\n \"AmbiguousMNIST does whiten the data itself device = torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\")\",\n \"numpy as np import torch.utils.data as data from torch.utils.data import Subset from data.fast_mnist\",\n \"shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return train_loader, valid_loader def get_test_loader(root, batch_size,\",\n \"be in the range [0, 1].\\\" assert (val_size >= 0) and (val_size <=\",\n \"valid_loader def get_test_loader(root, batch_size, **kwargs): # load the dataset _, mnist_test_dataset = create_MNIST_dataset()\",\n \"assert (val_size >= 0) and (val_size <= 1), error_msg # load the dataset\",\n \"torch import numpy as np import torch.utils.data as data from torch.utils.data import Subset\",\n \"= list(range(num_train)) split = int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:],\",\n \"import Subset from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size,\",\n \"Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader\",\n \"shuffle=False) return train_loader, valid_loader def get_test_loader(root, batch_size, **kwargs): # load the dataset _,\",\n \"torch.utils.data as data from torch.utils.data import Subset from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset\",\n \"np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split] train_subset = Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset,\",\n \"= Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True)\",\n \"Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0,\",\n \"\\\"cpu\\\") test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader = torch.utils.data.DataLoader(test_dataset, batch_size=batch_size,\",\n \"device=device),] ) valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) num_train = len(train_dataset)\",\n \"test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader = torch.utils.data.DataLoader(test_dataset, batch_size=batch_size, shuffle=False,\",\n \"torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return train_loader, valid_loader\",\n \"batch_size=batch_size, num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return train_loader, valid_loader def\",\n \"itself device = torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\") train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root,\",\n \"device = torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\") train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True,\",\n \"AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg = \\\"[!] val_size should be\",\n \"range [0, 1].\\\" assert (val_size >= 0) and (val_size <= 1), error_msg #\",\n \"from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1,\",\n \"def get_test_loader(root, batch_size, **kwargs): # load the dataset _, mnist_test_dataset = create_MNIST_dataset() device\",\n \"the dataset _, mnist_test_dataset = create_MNIST_dataset() device = torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\")\",\n \"create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg =\",\n \"train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return\",\n \"in the range [0, 1].\\\" assert (val_size >= 0) and (val_size <= 1),\",\n \"batch_size=batch_size, num_workers=0, shuffle=False) return train_loader, valid_loader def get_test_loader(root, batch_size, **kwargs): # load the\",\n \"train_idx) valid_subset = Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader =\",\n \"indices = list(range(num_train)) split = int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx =\",\n \"else \\\"cpu\\\") train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset = data.ConcatDataset(\",\n \"num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split] train_subset = Subset(train_dataset, train_idx) valid_subset\",\n \"torch.cuda.is_available() else \\\"cpu\\\") train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset =\",\n \"train_loader, valid_loader def get_test_loader(root, batch_size, **kwargs): # load the dataset _, mnist_test_dataset =\",\n \"mnist_train_dataset, _ = create_MNIST_dataset() # AmbiguousMNIST does whiten the data itself device =\",\n \"data itself device = torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\") train_dataset = data.ConcatDataset( [mnist_train_dataset,\",\n \"create_MNIST_dataset() # AmbiguousMNIST does whiten the data itself device = torch.device(\\\"cuda\\\" if torch.cuda.is_available()\",\n \"valid_idx = indices[split:], indices[:split] train_subset = Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset, valid_idx) train_loader\",\n \"val_size should be in the range [0, 1].\\\" assert (val_size >= 0) and\",\n \"valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False)\",\n \"= data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True,\",\n \"batch_size, **kwargs): # load the dataset _, mnist_test_dataset = create_MNIST_dataset() device = torch.device(\\\"cuda\\\"\",\n \"the data itself device = torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\") train_dataset = data.ConcatDataset(\",\n \"torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return train_loader, valid_loader def get_test_loader(root, batch_size, **kwargs): # load\",\n \"= create_MNIST_dataset() # AmbiguousMNIST does whiten the data itself device = torch.device(\\\"cuda\\\" if\",\n \"split = int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split] train_subset\",\n \"error_msg # load the dataset mnist_train_dataset, _ = create_MNIST_dataset() # AmbiguousMNIST does whiten\",\n \"valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) num_train = len(train_dataset) indices =\",\n \"as np import torch.utils.data as data from torch.utils.data import Subset from data.fast_mnist import\",\n \"import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg = \\\"[!] val_size should\",\n \"from torch.utils.data import Subset from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def\",\n \"import numpy as np import torch.utils.data as data from torch.utils.data import Subset from\",\n \"np import torch.utils.data as data from torch.utils.data import Subset from data.fast_mnist import create_MNIST_dataset\",\n \"len(train_dataset) indices = list(range(num_train)) split = int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx\",\n \"torch.cuda.is_available() else \\\"cpu\\\") test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader =\",\n \"= torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0, shuffle=True) valid_loader = torch.utils.data.DataLoader(valid_subset, batch_size=batch_size, num_workers=0, shuffle=False) return train_loader,\",\n \") valid_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) num_train = len(train_dataset) indices\",\n \"as data from torch.utils.data import Subset from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import\",\n \"torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\") test_dataset = data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] )\",\n \"= indices[split:], indices[:split] train_subset = Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset, valid_idx) train_loader =\",\n \"train_subset = Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size, num_workers=0,\",\n \"= data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) num_train = len(train_dataset) indices = list(range(num_train))\",\n \"num_workers=0, shuffle=False) return train_loader, valid_loader def get_test_loader(root, batch_size, **kwargs): # load the dataset\",\n \"dataset _, mnist_test_dataset = create_MNIST_dataset() device = torch.device(\\\"cuda\\\" if torch.cuda.is_available() else \\\"cpu\\\") test_dataset\",\n \"the dataset mnist_train_dataset, _ = create_MNIST_dataset() # AmbiguousMNIST does whiten the data itself\",\n \"error_msg = \\\"[!] val_size should be in the range [0, 1].\\\" assert (val_size\",\n \"if torch.cuda.is_available() else \\\"cpu\\\") train_dataset = data.ConcatDataset( [mnist_train_dataset, AmbiguousMNIST(root=root, train=True, device=device),] ) valid_dataset\",\n \"from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg = \\\"[!]\",\n \"indices[:split] train_subset = Subset(train_dataset, train_idx) valid_subset = Subset(valid_dataset, valid_idx) train_loader = torch.utils.data.DataLoader(train_subset, batch_size=batch_size,\",\n \"**kwargs): # load the dataset _, mnist_test_dataset = create_MNIST_dataset() device = torch.device(\\\"cuda\\\" if\",\n \"import torch import numpy as np import torch.utils.data as data from torch.utils.data import\",\n \"\\\"[!] val_size should be in the range [0, 1].\\\" assert (val_size >= 0)\"\n]","isConversational":false}}},{"rowIdx":1988,"cells":{"ngram":{"kind":"list like","value":["username/email from request' body = request.get_json() username = body.get(\"username\") email = body.get(\"email\") if","flasgger import swag_from from http import HTTPStatus from pathlib import Path from sqlalchemy.orm.exc","from pathlib import Path from sqlalchemy.orm.exc import NoResultFound from vantage6.common import logger_name from","-*- coding: utf-8 -*- import logging import datetime from flask import request, render_template","the username or email is our database you \" \"will soon receive an","log.info(f\"Successfull password reset for '{user.username}'\") return {\"msg\": \"password successfully been reset!\"}, \\ HTTPStatus.OK","containing a recover token\"\"\" @swag_from(str(Path(r\"swagger/post_recover_password.yaml\")), endpoint='recover_password') def post(self): \"\"\"username or email generates a","token\"\"\" @swag_from(str(Path(r\"swagger/post_recover_password.yaml\")), endpoint='recover_password') def post(self): \"\"\"username or email generates a token which is","# we do not tell them.... But we won't continue either return ret","resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------ # Resources","# find user in the database, if not here we stop! try: if","db.User.get_by_email(email) except NoResultFound: # we do not tell them.... But we won't continue",") api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------ # Resources /","expires_delta=expires ) self.mail.send_email( \"password reset\", sender=\"<EMAIL>\", recipients=[user.email], text_body=render_template(\"mail/reset_password_token.txt\", token=reset_token), html_body=render_template(\"mail/reset_password_token.html\", token=reset_token) ) return","def post(self): \"\"\"\"submit email-adress receive token.\"\"\" # retrieve user based on email or","from jwt.exceptions import DecodeError from flasgger import swag_from from http import HTTPStatus from","# ------------------------------------------------------------------------------ # Resources / API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \"\"\"user can use","= {\"msg\": \"If the username or email is our database you \" \"will","or email provided!\"}, \\ HTTPStatus.BAD_REQUEST # find user in the database, if not","datetime from flask import request, render_template from flask_jwt_extended import ( create_access_token, decode_token )","and subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\"reset_password\", methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password',","set password user.set_password(password) user.save() log.info(f\"Successfull password reset for '{user.username}'\") return {\"msg\": \"password successfully","do not tell them.... But we won't continue either return ret log.info(f\"Password reset","import ( ServicesResources ) module_name = logger_name(__name__) log = logging.getLogger(module_name) def setup(api, api_base,","http import HTTPStatus from pathlib import Path from sqlalchemy.orm.exc import NoResultFound from vantage6.common","body = request.get_json() reset_token = body.get(\"reset_token\") password = body.get(\"password\") if not reset_token or","log.debug(user_id) user = db.User.get(user_id) # set password user.set_password(password) user.save() log.info(f\"Successfull password reset for","missing!\"}, \\ HTTPStatus.BAD_REQUEST # obtain user try: user_id = decode_token(reset_token)['identity'].get('id') except DecodeError: return","NoResultFound from vantage6.common import logger_name from vantage6.server import db from vantage6.server.resource import (","'{user.username}'\") # generate a token that can reset their password expires = datetime.timedelta(hours=1)","their password.\"\"\" @swag_from(str(Path(r\"swagger/post_reset_password.yaml\")), endpoint='reset_password') def post(self): \"\"\"\"submit email-adress receive token.\"\"\" # retrieve user","ResetPassword(ServicesResources): \"\"\"user can use recover token to reset their password.\"\"\" @swag_from(str(Path(r\"swagger/post_reset_password.yaml\")), endpoint='reset_password') def","# ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \"\"\"user can use recover token to reset their password.\"\"\"","username = body.get(\"username\") email = body.get(\"email\") if not (email or username): return {\"msg\":","reset_token = create_access_token( {\"id\": str(user.id)}, expires_delta=expires ) self.mail.send_email( \"password reset\", sender=\"<EMAIL>\", recipients=[user.email], text_body=render_template(\"mail/reset_password_token.txt\",","ResetPassword, path+'/reset', endpoint=\"reset_password\", methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services )","password reset for '{user.username}'\") return {\"msg\": \"password successfully been reset!\"}, \\ HTTPStatus.OK class","return {\"msg\": \"password successfully been reset!\"}, \\ HTTPStatus.OK class RecoverPassword(ServicesResources): \"\"\"send a mail","reset_token = body.get(\"reset_token\") password = body.get(\"password\") if not reset_token or not password: return","= request.get_json() reset_token = body.get(\"reset_token\") password = body.get(\"password\") if not reset_token or not","class RecoverPassword(ServicesResources): \"\"\"send a mail containing a recover token\"\"\" @swag_from(str(Path(r\"swagger/post_recover_password.yaml\")), endpoint='recover_password') def post(self):","decode_token(reset_token)['identity'].get('id') except DecodeError: return {\"msg\": \"Invalid recovery token!\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id)","{\"msg\": \"password successfully been reset!\"}, \\ HTTPStatus.OK class RecoverPassword(ServicesResources): \"\"\"send a mail containing","reset for '{user.username}'\") return {\"msg\": \"password successfully been reset!\"}, \\ HTTPStatus.OK class RecoverPassword(ServicesResources):","recover token to reset their password.\"\"\" @swag_from(str(Path(r\"swagger/post_reset_password.yaml\")), endpoint='reset_password') def post(self): \"\"\"\"submit email-adress receive","reset!\"}, \\ HTTPStatus.OK class RecoverPassword(ServicesResources): \"\"\"send a mail containing a recover token\"\"\" @swag_from(str(Path(r\"swagger/post_recover_password.yaml\")),","username): return {\"msg\": \"No username or email provided!\"}, \\ HTTPStatus.BAD_REQUEST # find user","= logger_name(__name__) log = logging.getLogger(module_name) def setup(api, api_base, services): path = \"/\".join([api_base, module_name])","str(user.id)}, expires_delta=expires ) self.mail.send_email( \"password reset\", sender=\"<EMAIL>\", recipients=[user.email], text_body=render_template(\"mail/reset_password_token.txt\", token=reset_token), html_body=render_template(\"mail/reset_password_token.html\", token=reset_token) )","= db.User.get_by_email(email) except NoResultFound: # we do not tell them.... But we won't","been reset!\"}, \\ HTTPStatus.OK class RecoverPassword(ServicesResources): \"\"\"send a mail containing a recover token\"\"\"","user.save() log.info(f\"Successfull password reset for '{user.username}'\") return {\"msg\": \"password successfully been reset!\"}, \\","or username): return {\"msg\": \"No username or email provided!\"}, \\ HTTPStatus.BAD_REQUEST # find","from flask import request, render_template from flask_jwt_extended import ( create_access_token, decode_token ) from","create_access_token( {\"id\": str(user.id)}, expires_delta=expires ) self.mail.send_email( \"password reset\", sender=\"<EMAIL>\", recipients=[user.email], text_body=render_template(\"mail/reset_password_token.txt\", token=reset_token), html_body=render_template(\"mail/reset_password_token.html\",","import request, render_template from flask_jwt_extended import ( create_access_token, decode_token ) from jwt.exceptions import","mailed.\"\"\" # default return string ret = {\"msg\": \"If the username or email","from sqlalchemy.orm.exc import NoResultFound from vantage6.common import logger_name from vantage6.server import db from","or email generates a token which is mailed.\"\"\" # default return string ret","user based on email or username body = request.get_json() reset_token = body.get(\"reset_token\") password","/ API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \"\"\"user can use recover token to reset","from request' body = request.get_json() username = body.get(\"username\") email = body.get(\"email\") if not","a recover token\"\"\" @swag_from(str(Path(r\"swagger/post_recover_password.yaml\")), endpoint='recover_password') def post(self): \"\"\"username or email generates a token","datetime.timedelta(hours=1) reset_token = create_access_token( {\"id\": str(user.id)}, expires_delta=expires ) self.mail.send_email( \"password reset\", sender=\"<EMAIL>\", recipients=[user.email],","default return string ret = {\"msg\": \"If the username or email is our","flask_jwt_extended import ( create_access_token, decode_token ) from jwt.exceptions import DecodeError from flasgger import","import logging import datetime from flask import request, render_template from flask_jwt_extended import (","def setup(api, api_base, services): path = \"/\".join([api_base, module_name]) log.info(f'Setting up \"{path}\" and subdirectories')","is mailed.\"\"\" # default return string ret = {\"msg\": \"If the username or","HTTPStatus.BAD_REQUEST # obtain user try: user_id = decode_token(reset_token)['identity'].get('id') except DecodeError: return {\"msg\": \"Invalid","and/or password is missing!\"}, \\ HTTPStatus.BAD_REQUEST # obtain user try: user_id = decode_token(reset_token)['identity'].get('id')","obtain user try: user_id = decode_token(reset_token)['identity'].get('id') except DecodeError: return {\"msg\": \"Invalid recovery token!\"},","ret log.info(f\"Password reset requested for '{user.username}'\") # generate a token that can reset","can reset their password expires = datetime.timedelta(hours=1) reset_token = create_access_token( {\"id\": str(user.id)}, expires_delta=expires","subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\"reset_password\", methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',),","endpoint='reset_password') def post(self): \"\"\"\"submit email-adress receive token.\"\"\" # retrieve user based on email","body.get(\"email\") if not (email or username): return {\"msg\": \"No username or email provided!\"},","= request.get_json() username = body.get(\"username\") email = body.get(\"email\") if not (email or username):","username or email provided!\"}, \\ HTTPStatus.BAD_REQUEST # find user in the database, if","db.User.get(user_id) # set password user.set_password(password) user.save() log.info(f\"Successfull password reset for '{user.username}'\") return {\"msg\":","from vantage6.common import logger_name from vantage6.server import db from vantage6.server.resource import ( ServicesResources","{\"msg\": \"Invalid recovery token!\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id) # set password user.set_password(password)","database, if not here we stop! try: if username: user = db.User.get_by_username(username) else:","\"reset token and/or password is missing!\"}, \\ HTTPStatus.BAD_REQUEST # obtain user try: user_id","receive an email\"} # obtain username/email from request' body = request.get_json() username =","logger_name(__name__) log = logging.getLogger(module_name) def setup(api, api_base, services): path = \"/\".join([api_base, module_name]) log.info(f'Setting","vantage6.server.resource import ( ServicesResources ) module_name = logger_name(__name__) log = logging.getLogger(module_name) def setup(api,","class ResetPassword(ServicesResources): \"\"\"user can use recover token to reset their password.\"\"\" @swag_from(str(Path(r\"swagger/post_reset_password.yaml\")), endpoint='reset_password')","you \" \"will soon receive an email\"} # obtain username/email from request' body","a mail containing a recover token\"\"\" @swag_from(str(Path(r\"swagger/post_recover_password.yaml\")), endpoint='recover_password') def post(self): \"\"\"username or email","endpoint=\"reset_password\", methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------","try: if username: user = db.User.get_by_username(username) else: user = db.User.get_by_email(email) except NoResultFound: #",") # ------------------------------------------------------------------------------ # Resources / API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \"\"\"user can","else: user = db.User.get_by_email(email) except NoResultFound: # we do not tell them.... But","if not here we stop! try: if username: user = db.User.get_by_username(username) else: user","\"\"\"username or email generates a token which is mailed.\"\"\" # default return string","logging import datetime from flask import request, render_template from flask_jwt_extended import ( create_access_token,","mail containing a recover token\"\"\" @swag_from(str(Path(r\"swagger/post_recover_password.yaml\")), endpoint='recover_password') def post(self): \"\"\"username or email generates","retrieve user based on email or username body = request.get_json() reset_token = body.get(\"reset_token\")","user = db.User.get_by_email(email) except NoResultFound: # we do not tell them.... But we","email = body.get(\"email\") if not (email or username): return {\"msg\": \"No username or","\\ HTTPStatus.BAD_REQUEST # obtain user try: user_id = decode_token(reset_token)['identity'].get('id') except DecodeError: return {\"msg\":","request' body = request.get_json() username = body.get(\"username\") email = body.get(\"email\") if not (email","obtain username/email from request' body = request.get_json() username = body.get(\"username\") email = body.get(\"email\")","body.get(\"password\") if not reset_token or not password: return {\"msg\": \"reset token and/or password","if not reset_token or not password: return {\"msg\": \"reset token and/or password is","reset their password expires = datetime.timedelta(hours=1) reset_token = create_access_token( {\"id\": str(user.id)}, expires_delta=expires )","api.add_resource( ResetPassword, path+'/reset', endpoint=\"reset_password\", methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services","reset requested for '{user.username}'\") # generate a token that can reset their password","= db.User.get_by_username(username) else: user = db.User.get_by_email(email) except NoResultFound: # we do not tell","we won't continue either return ret log.info(f\"Password reset requested for '{user.username}'\") # generate","password: return {\"msg\": \"reset token and/or password is missing!\"}, \\ HTTPStatus.BAD_REQUEST # obtain","return {\"msg\": \"Invalid recovery token!\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id) # set password","But we won't continue either return ret log.info(f\"Password reset requested for '{user.username}'\") #","token that can reset their password expires = datetime.timedelta(hours=1) reset_token = create_access_token( {\"id\":","methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------ #","{\"msg\": \"If the username or email is our database you \" \"will soon","token to reset their password.\"\"\" @swag_from(str(Path(r\"swagger/post_reset_password.yaml\")), endpoint='reset_password') def post(self): \"\"\"\"submit email-adress receive token.\"\"\"","return string ret = {\"msg\": \"If the username or email is our database","------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \"\"\"user can use recover token to reset their password.\"\"\" @swag_from(str(Path(r\"swagger/post_reset_password.yaml\")),","RecoverPassword(ServicesResources): \"\"\"send a mail containing a recover token\"\"\" @swag_from(str(Path(r\"swagger/post_recover_password.yaml\")), endpoint='recover_password') def post(self): \"\"\"username","log = logging.getLogger(module_name) def setup(api, api_base, services): path = \"/\".join([api_base, module_name]) log.info(f'Setting up","username: user = db.User.get_by_username(username) else: user = db.User.get_by_email(email) except NoResultFound: # we do","-*- import logging import datetime from flask import request, render_template from flask_jwt_extended import","recover token\"\"\" @swag_from(str(Path(r\"swagger/post_recover_password.yaml\")), endpoint='recover_password') def post(self): \"\"\"username or email generates a token which","user.set_password(password) user.save() log.info(f\"Successfull password reset for '{user.username}'\") return {\"msg\": \"password successfully been reset!\"},","def post(self): \"\"\"username or email generates a token which is mailed.\"\"\" # default","\\ HTTPStatus.OK class RecoverPassword(ServicesResources): \"\"\"send a mail containing a recover token\"\"\" @swag_from(str(Path(r\"swagger/post_recover_password.yaml\")), endpoint='recover_password')","# generate a token that can reset their password expires = datetime.timedelta(hours=1) reset_token","{\"msg\": \"reset token and/or password is missing!\"}, \\ HTTPStatus.BAD_REQUEST # obtain user try:","= logging.getLogger(module_name) def setup(api, api_base, services): path = \"/\".join([api_base, module_name]) log.info(f'Setting up \"{path}\"","recovery token!\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id) # set password user.set_password(password) user.save() log.info(f\"Successfull","email or username body = request.get_json() reset_token = body.get(\"reset_token\") password = body.get(\"password\") if","import db from vantage6.server.resource import ( ServicesResources ) module_name = logger_name(__name__) log =","email-adress receive token.\"\"\" # retrieve user based on email or username body =",") module_name = logger_name(__name__) log = logging.getLogger(module_name) def setup(api, api_base, services): path =","= body.get(\"password\") if not reset_token or not password: return {\"msg\": \"reset token and/or","HTTPStatus.OK class RecoverPassword(ServicesResources): \"\"\"send a mail containing a recover token\"\"\" @swag_from(str(Path(r\"swagger/post_recover_password.yaml\")), endpoint='recover_password') def","email\"} # obtain username/email from request' body = request.get_json() username = body.get(\"username\") email","\"If the username or email is our database you \" \"will soon receive","tell them.... But we won't continue either return ret log.info(f\"Password reset requested for","either return ret log.info(f\"Password reset requested for '{user.username}'\") # generate a token that","reset_token or not password: return {\"msg\": \"reset token and/or password is missing!\"}, \\","their password expires = datetime.timedelta(hours=1) reset_token = create_access_token( {\"id\": str(user.id)}, expires_delta=expires ) self.mail.send_email(","# Resources / API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \"\"\"user can use recover token","from vantage6.server.resource import ( ServicesResources ) module_name = logger_name(__name__) log = logging.getLogger(module_name) def","NoResultFound: # we do not tell them.... But we won't continue either return","string ret = {\"msg\": \"If the username or email is our database you","pathlib import Path from sqlalchemy.orm.exc import NoResultFound from vantage6.common import logger_name from vantage6.server","ret = {\"msg\": \"If the username or email is our database you \"","path = \"/\".join([api_base, module_name]) log.info(f'Setting up \"{path}\" and subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\"reset_password\",","import Path from sqlalchemy.orm.exc import NoResultFound from vantage6.common import logger_name from vantage6.server import","find user in the database, if not here we stop! try: if username:","HTTPStatus from pathlib import Path from sqlalchemy.orm.exc import NoResultFound from vantage6.common import logger_name","RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------ # Resources / API's #","based on email or username body = request.get_json() reset_token = body.get(\"reset_token\") password =","= body.get(\"email\") if not (email or username): return {\"msg\": \"No username or email","from http import HTTPStatus from pathlib import Path from sqlalchemy.orm.exc import NoResultFound from","soon receive an email\"} # obtain username/email from request' body = request.get_json() username","= datetime.timedelta(hours=1) reset_token = create_access_token( {\"id\": str(user.id)}, expires_delta=expires ) self.mail.send_email( \"password reset\", sender=\"<EMAIL>\",","import logger_name from vantage6.server import db from vantage6.server.resource import ( ServicesResources ) module_name","methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------ # Resources / API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources):","{\"id\": str(user.id)}, expires_delta=expires ) self.mail.send_email( \"password reset\", sender=\"<EMAIL>\", recipients=[user.email], text_body=render_template(\"mail/reset_password_token.txt\", token=reset_token), html_body=render_template(\"mail/reset_password_token.html\", token=reset_token)","( ServicesResources ) module_name = logger_name(__name__) log = logging.getLogger(module_name) def setup(api, api_base, services):","import NoResultFound from vantage6.common import logger_name from vantage6.server import db from vantage6.server.resource import","provided!\"}, \\ HTTPStatus.BAD_REQUEST # find user in the database, if not here we","import swag_from from http import HTTPStatus from pathlib import Path from sqlalchemy.orm.exc import","email is our database you \" \"will soon receive an email\"} # obtain","(email or username): return {\"msg\": \"No username or email provided!\"}, \\ HTTPStatus.BAD_REQUEST #","generate a token that can reset their password expires = datetime.timedelta(hours=1) reset_token =","we do not tell them.... But we won't continue either return ret log.info(f\"Password","# default return string ret = {\"msg\": \"If the username or email is","for '{user.username}'\") # generate a token that can reset their password expires =","resource_class_kwargs=services ) # ------------------------------------------------------------------------------ # Resources / API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \"\"\"user","not password: return {\"msg\": \"reset token and/or password is missing!\"}, \\ HTTPStatus.BAD_REQUEST #","services): path = \"/\".join([api_base, module_name]) log.info(f'Setting up \"{path}\" and subdirectories') api.add_resource( ResetPassword, path+'/reset',","email provided!\"}, \\ HTTPStatus.BAD_REQUEST # find user in the database, if not here","our database you \" \"will soon receive an email\"} # obtain username/email from","request.get_json() reset_token = body.get(\"reset_token\") password = body.get(\"password\") if not reset_token or not password:","expires = datetime.timedelta(hours=1) reset_token = create_access_token( {\"id\": str(user.id)}, expires_delta=expires ) self.mail.send_email( \"password reset\",","@swag_from(str(Path(r\"swagger/post_recover_password.yaml\")), endpoint='recover_password') def post(self): \"\"\"username or email generates a token which is mailed.\"\"\"","not here we stop! try: if username: user = db.User.get_by_username(username) else: user =","requested for '{user.username}'\") # generate a token that can reset their password expires","token and/or password is missing!\"}, \\ HTTPStatus.BAD_REQUEST # obtain user try: user_id =","use recover token to reset their password.\"\"\" @swag_from(str(Path(r\"swagger/post_reset_password.yaml\")), endpoint='reset_password') def post(self): \"\"\"\"submit email-adress","can use recover token to reset their password.\"\"\" @swag_from(str(Path(r\"swagger/post_reset_password.yaml\")), endpoint='reset_password') def post(self): \"\"\"\"submit","post(self): \"\"\"\"submit email-adress receive token.\"\"\" # retrieve user based on email or username","------------------------------------------------------------------------------ # Resources / API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \"\"\"user can use recover","except NoResultFound: # we do not tell them.... But we won't continue either","request.get_json() username = body.get(\"username\") email = body.get(\"email\") if not (email or username): return","= body.get(\"reset_token\") password = body.get(\"password\") if not reset_token or not password: return {\"msg\":","# retrieve user based on email or username body = request.get_json() reset_token =","log.info(f\"Password reset requested for '{user.username}'\") # generate a token that can reset their","\"will soon receive an email\"} # obtain username/email from request' body = request.get_json()","body = request.get_json() username = body.get(\"username\") email = body.get(\"email\") if not (email or","DecodeError: return {\"msg\": \"Invalid recovery token!\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id) # set","password expires = datetime.timedelta(hours=1) reset_token = create_access_token( {\"id\": str(user.id)}, expires_delta=expires ) self.mail.send_email( \"password","user try: user_id = decode_token(reset_token)['identity'].get('id') except DecodeError: return {\"msg\": \"Invalid recovery token!\"}, HTTPStatus.BAD_REQUEST","import DecodeError from flasgger import swag_from from http import HTTPStatus from pathlib import","# set password user.set_password(password) user.save() log.info(f\"Successfull password reset for '{user.username}'\") return {\"msg\": \"password","= body.get(\"username\") email = body.get(\"email\") if not (email or username): return {\"msg\": \"No","password user.set_password(password) user.save() log.info(f\"Successfull password reset for '{user.username}'\") return {\"msg\": \"password successfully been","in the database, if not here we stop! try: if username: user =","successfully been reset!\"}, \\ HTTPStatus.OK class RecoverPassword(ServicesResources): \"\"\"send a mail containing a recover","from flask_jwt_extended import ( create_access_token, decode_token ) from jwt.exceptions import DecodeError from flasgger","\"\"\"send a mail containing a recover token\"\"\" @swag_from(str(Path(r\"swagger/post_recover_password.yaml\")), endpoint='recover_password') def post(self): \"\"\"username or","user = db.User.get_by_username(username) else: user = db.User.get_by_email(email) except NoResultFound: # we do not","db from vantage6.server.resource import ( ServicesResources ) module_name = logger_name(__name__) log = logging.getLogger(module_name)","to reset their password.\"\"\" @swag_from(str(Path(r\"swagger/post_reset_password.yaml\")), endpoint='reset_password') def post(self): \"\"\"\"submit email-adress receive token.\"\"\" #","endpoint='recover_password') def post(self): \"\"\"username or email generates a token which is mailed.\"\"\" #","not reset_token or not password: return {\"msg\": \"reset token and/or password is missing!\"},","which is mailed.\"\"\" # default return string ret = {\"msg\": \"If the username","here we stop! try: if username: user = db.User.get_by_username(username) else: user = db.User.get_by_email(email)","stop! try: if username: user = db.User.get_by_username(username) else: user = db.User.get_by_email(email) except NoResultFound:","# obtain user try: user_id = decode_token(reset_token)['identity'].get('id') except DecodeError: return {\"msg\": \"Invalid recovery","path+'/reset', endpoint=\"reset_password\", methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) #","\" \"will soon receive an email\"} # obtain username/email from request' body =","try: user_id = decode_token(reset_token)['identity'].get('id') except DecodeError: return {\"msg\": \"Invalid recovery token!\"}, HTTPStatus.BAD_REQUEST log.debug(user_id)","except DecodeError: return {\"msg\": \"Invalid recovery token!\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id) #","return {\"msg\": \"reset token and/or password is missing!\"}, \\ HTTPStatus.BAD_REQUEST # obtain user","an email\"} # obtain username/email from request' body = request.get_json() username = body.get(\"username\")","import datetime from flask import request, render_template from flask_jwt_extended import ( create_access_token, decode_token","if not (email or username): return {\"msg\": \"No username or email provided!\"}, \\","\\ HTTPStatus.BAD_REQUEST # find user in the database, if not here we stop!","database you \" \"will soon receive an email\"} # obtain username/email from request'","HTTPStatus.BAD_REQUEST # find user in the database, if not here we stop! try:","\"\"\"\"submit email-adress receive token.\"\"\" # retrieve user based on email or username body","username or email is our database you \" \"will soon receive an email\"}","log.info(f'Setting up \"{path}\" and subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\"reset_password\", methods=('POST',), resource_class_kwargs=services ) api.add_resource(","Resources / API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \"\"\"user can use recover token to","db.User.get_by_username(username) else: user = db.User.get_by_email(email) except NoResultFound: # we do not tell them....","token!\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id) # set password user.set_password(password) user.save() log.info(f\"Successfull password","( create_access_token, decode_token ) from jwt.exceptions import DecodeError from flasgger import swag_from from","import ( create_access_token, decode_token ) from jwt.exceptions import DecodeError from flasgger import swag_from","post(self): \"\"\"username or email generates a token which is mailed.\"\"\" # default return","DecodeError from flasgger import swag_from from http import HTTPStatus from pathlib import Path","\"/\".join([api_base, module_name]) log.info(f'Setting up \"{path}\" and subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\"reset_password\", methods=('POST',), resource_class_kwargs=services","up \"{path}\" and subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\"reset_password\", methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword,","email generates a token which is mailed.\"\"\" # default return string ret =",") self.mail.send_email( \"password reset\", sender=\"<EMAIL>\", recipients=[user.email], text_body=render_template(\"mail/reset_password_token.txt\", token=reset_token), html_body=render_template(\"mail/reset_password_token.html\", token=reset_token) ) return ret","password.\"\"\" @swag_from(str(Path(r\"swagger/post_reset_password.yaml\")), endpoint='reset_password') def post(self): \"\"\"\"submit email-adress receive token.\"\"\" # retrieve user based","setup(api, api_base, services): path = \"/\".join([api_base, module_name]) log.info(f'Setting up \"{path}\" and subdirectories') api.add_resource(","is missing!\"}, \\ HTTPStatus.BAD_REQUEST # obtain user try: user_id = decode_token(reset_token)['identity'].get('id') except DecodeError:","them.... But we won't continue either return ret log.info(f\"Password reset requested for '{user.username}'\")","body.get(\"reset_token\") password = body.get(\"password\") if not reset_token or not password: return {\"msg\": \"reset","\"password successfully been reset!\"}, \\ HTTPStatus.OK class RecoverPassword(ServicesResources): \"\"\"send a mail containing a","not tell them.... But we won't continue either return ret log.info(f\"Password reset requested","module_name = logger_name(__name__) log = logging.getLogger(module_name) def setup(api, api_base, services): path = \"/\".join([api_base,","or email is our database you \" \"will soon receive an email\"} #","body.get(\"username\") email = body.get(\"email\") if not (email or username): return {\"msg\": \"No username","user in the database, if not here we stop! try: if username: user","for '{user.username}'\") return {\"msg\": \"password successfully been reset!\"}, \\ HTTPStatus.OK class RecoverPassword(ServicesResources): \"\"\"send","we stop! try: if username: user = db.User.get_by_username(username) else: user = db.User.get_by_email(email) except","the database, if not here we stop! try: if username: user = db.User.get_by_username(username)","= \"/\".join([api_base, module_name]) log.info(f'Setting up \"{path}\" and subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\"reset_password\", methods=('POST',),","= create_access_token( {\"id\": str(user.id)}, expires_delta=expires ) self.mail.send_email( \"password reset\", sender=\"<EMAIL>\", recipients=[user.email], text_body=render_template(\"mail/reset_password_token.txt\", token=reset_token),","not (email or username): return {\"msg\": \"No username or email provided!\"}, \\ HTTPStatus.BAD_REQUEST","vantage6.common import logger_name from vantage6.server import db from vantage6.server.resource import ( ServicesResources )","'{user.username}'\") return {\"msg\": \"password successfully been reset!\"}, \\ HTTPStatus.OK class RecoverPassword(ServicesResources): \"\"\"send a","token which is mailed.\"\"\" # default return string ret = {\"msg\": \"If the","import HTTPStatus from pathlib import Path from sqlalchemy.orm.exc import NoResultFound from vantage6.common import","@swag_from(str(Path(r\"swagger/post_reset_password.yaml\")), endpoint='reset_password') def post(self): \"\"\"\"submit email-adress receive token.\"\"\" # retrieve user based on","\"No username or email provided!\"}, \\ HTTPStatus.BAD_REQUEST # find user in the database,","create_access_token, decode_token ) from jwt.exceptions import DecodeError from flasgger import swag_from from http","Path from sqlalchemy.orm.exc import NoResultFound from vantage6.common import logger_name from vantage6.server import db","receive token.\"\"\" # retrieve user based on email or username body = request.get_json()","{\"msg\": \"No username or email provided!\"}, \\ HTTPStatus.BAD_REQUEST # find user in the","utf-8 -*- import logging import datetime from flask import request, render_template from flask_jwt_extended","reset their password.\"\"\" @swag_from(str(Path(r\"swagger/post_reset_password.yaml\")), endpoint='reset_password') def post(self): \"\"\"\"submit email-adress receive token.\"\"\" # retrieve","return {\"msg\": \"No username or email provided!\"}, \\ HTTPStatus.BAD_REQUEST # find user in","token.\"\"\" # retrieve user based on email or username body = request.get_json() reset_token","on email or username body = request.get_json() reset_token = body.get(\"reset_token\") password = body.get(\"password\")","flask import request, render_template from flask_jwt_extended import ( create_access_token, decode_token ) from jwt.exceptions","# obtain username/email from request' body = request.get_json() username = body.get(\"username\") email =","API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \"\"\"user can use recover token to reset their","from flasgger import swag_from from http import HTTPStatus from pathlib import Path from","= decode_token(reset_token)['identity'].get('id') except DecodeError: return {\"msg\": \"Invalid recovery token!\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user =","HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id) # set password user.set_password(password) user.save() log.info(f\"Successfull password reset","# -*- coding: utf-8 -*- import logging import datetime from flask import request,","password = body.get(\"password\") if not reset_token or not password: return {\"msg\": \"reset token","generates a token which is mailed.\"\"\" # default return string ret = {\"msg\":","or not password: return {\"msg\": \"reset token and/or password is missing!\"}, \\ HTTPStatus.BAD_REQUEST","from vantage6.server import db from vantage6.server.resource import ( ServicesResources ) module_name = logger_name(__name__)","user_id = decode_token(reset_token)['identity'].get('id') except DecodeError: return {\"msg\": \"Invalid recovery token!\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user","or username body = request.get_json() reset_token = body.get(\"reset_token\") password = body.get(\"password\") if not","module_name]) log.info(f'Setting up \"{path}\" and subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\"reset_password\", methods=('POST',), resource_class_kwargs=services )","swag_from from http import HTTPStatus from pathlib import Path from sqlalchemy.orm.exc import NoResultFound","decode_token ) from jwt.exceptions import DecodeError from flasgger import swag_from from http import","path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------ # Resources / API's # ------------------------------------------------------------------------------","password is missing!\"}, \\ HTTPStatus.BAD_REQUEST # obtain user try: user_id = decode_token(reset_token)['identity'].get('id') except","that can reset their password expires = datetime.timedelta(hours=1) reset_token = create_access_token( {\"id\": str(user.id)},","if username: user = db.User.get_by_username(username) else: user = db.User.get_by_email(email) except NoResultFound: # we",") from jwt.exceptions import DecodeError from flasgger import swag_from from http import HTTPStatus","a token that can reset their password expires = datetime.timedelta(hours=1) reset_token = create_access_token(","return ret log.info(f\"Password reset requested for '{user.username}'\") # generate a token that can","coding: utf-8 -*- import logging import datetime from flask import request, render_template from","won't continue either return ret log.info(f\"Password reset requested for '{user.username}'\") # generate a","endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------ # Resources / API's # ------------------------------------------------------------------------------ class","is our database you \" \"will soon receive an email\"} # obtain username/email","a token which is mailed.\"\"\" # default return string ret = {\"msg\": \"If","\"\"\"user can use recover token to reset their password.\"\"\" @swag_from(str(Path(r\"swagger/post_reset_password.yaml\")), endpoint='reset_password') def post(self):","= db.User.get(user_id) # set password user.set_password(password) user.save() log.info(f\"Successfull password reset for '{user.username}'\") return","\"{path}\" and subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\"reset_password\", methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost',","logging.getLogger(module_name) def setup(api, api_base, services): path = \"/\".join([api_base, module_name]) log.info(f'Setting up \"{path}\" and","continue either return ret log.info(f\"Password reset requested for '{user.username}'\") # generate a token","logger_name from vantage6.server import db from vantage6.server.resource import ( ServicesResources ) module_name =","request, render_template from flask_jwt_extended import ( create_access_token, decode_token ) from jwt.exceptions import DecodeError","username body = request.get_json() reset_token = body.get(\"reset_token\") password = body.get(\"password\") if not reset_token","ServicesResources ) module_name = logger_name(__name__) log = logging.getLogger(module_name) def setup(api, api_base, services): path","api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------ # Resources / API's","\"Invalid recovery token!\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id) # set password user.set_password(password) user.save()","api_base, services): path = \"/\".join([api_base, module_name]) log.info(f'Setting up \"{path}\" and subdirectories') api.add_resource( ResetPassword,","render_template from flask_jwt_extended import ( create_access_token, decode_token ) from jwt.exceptions import DecodeError from","user = db.User.get(user_id) # set password user.set_password(password) user.save() log.info(f\"Successfull password reset for '{user.username}'\")","jwt.exceptions import DecodeError from flasgger import swag_from from http import HTTPStatus from pathlib","vantage6.server import db from vantage6.server.resource import ( ServicesResources ) module_name = logger_name(__name__) log","sqlalchemy.orm.exc import NoResultFound from vantage6.common import logger_name from vantage6.server import db from vantage6.server.resource"],"string":"[\n \"username/email from request' body = request.get_json() username = body.get(\\\"username\\\") email = body.get(\\\"email\\\") if\",\n \"flasgger import swag_from from http import HTTPStatus from pathlib import Path from sqlalchemy.orm.exc\",\n \"from pathlib import Path from sqlalchemy.orm.exc import NoResultFound from vantage6.common import logger_name from\",\n \"-*- coding: utf-8 -*- import logging import datetime from flask import request, render_template\",\n \"the username or email is our database you \\\" \\\"will soon receive an\",\n \"log.info(f\\\"Successfull password reset for '{user.username}'\\\") return {\\\"msg\\\": \\\"password successfully been reset!\\\"}, \\\\ HTTPStatus.OK\",\n \"containing a recover token\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_recover_password.yaml\\\")), endpoint='recover_password') def post(self): \\\"\\\"\\\"username or email generates a\",\n \"token\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_recover_password.yaml\\\")), endpoint='recover_password') def post(self): \\\"\\\"\\\"username or email generates a token which is\",\n \"# we do not tell them.... But we won't continue either return ret\",\n \"resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------ # Resources\",\n \"# find user in the database, if not here we stop! try: if\",\n \"db.User.get_by_email(email) except NoResultFound: # we do not tell them.... But we won't continue\",\n \") api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------ # Resources /\",\n \"expires_delta=expires ) self.mail.send_email( \\\"password reset\\\", sender=\\\"<EMAIL>\\\", recipients=[user.email], text_body=render_template(\\\"mail/reset_password_token.txt\\\", token=reset_token), html_body=render_template(\\\"mail/reset_password_token.html\\\", token=reset_token) ) return\",\n \"def post(self): \\\"\\\"\\\"\\\"submit email-adress receive token.\\\"\\\"\\\" # retrieve user based on email or\",\n \"from jwt.exceptions import DecodeError from flasgger import swag_from from http import HTTPStatus from\",\n \"# ------------------------------------------------------------------------------ # Resources / API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \\\"\\\"\\\"user can use\",\n \"= {\\\"msg\\\": \\\"If the username or email is our database you \\\" \\\"will\",\n \"or email provided!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # find user in the database, if not\",\n \"datetime from flask import request, render_template from flask_jwt_extended import ( create_access_token, decode_token )\",\n \"and subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\\\"reset_password\\\", methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password',\",\n \"set password user.set_password(password) user.save() log.info(f\\\"Successfull password reset for '{user.username}'\\\") return {\\\"msg\\\": \\\"password successfully\",\n \"do not tell them.... But we won't continue either return ret log.info(f\\\"Password reset\",\n \"import ( ServicesResources ) module_name = logger_name(__name__) log = logging.getLogger(module_name) def setup(api, api_base,\",\n \"http import HTTPStatus from pathlib import Path from sqlalchemy.orm.exc import NoResultFound from vantage6.common\",\n \"body = request.get_json() reset_token = body.get(\\\"reset_token\\\") password = body.get(\\\"password\\\") if not reset_token or\",\n \"log.debug(user_id) user = db.User.get(user_id) # set password user.set_password(password) user.save() log.info(f\\\"Successfull password reset for\",\n \"missing!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # obtain user try: user_id = decode_token(reset_token)['identity'].get('id') except DecodeError: return\",\n \"NoResultFound from vantage6.common import logger_name from vantage6.server import db from vantage6.server.resource import (\",\n \"'{user.username}'\\\") # generate a token that can reset their password expires = datetime.timedelta(hours=1)\",\n \"their password.\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_reset_password.yaml\\\")), endpoint='reset_password') def post(self): \\\"\\\"\\\"\\\"submit email-adress receive token.\\\"\\\"\\\" # retrieve user\",\n \"ResetPassword(ServicesResources): \\\"\\\"\\\"user can use recover token to reset their password.\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_reset_password.yaml\\\")), endpoint='reset_password') def\",\n \"# ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \\\"\\\"\\\"user can use recover token to reset their password.\\\"\\\"\\\"\",\n \"username = body.get(\\\"username\\\") email = body.get(\\\"email\\\") if not (email or username): return {\\\"msg\\\":\",\n \"reset_token = create_access_token( {\\\"id\\\": str(user.id)}, expires_delta=expires ) self.mail.send_email( \\\"password reset\\\", sender=\\\"<EMAIL>\\\", recipients=[user.email], text_body=render_template(\\\"mail/reset_password_token.txt\\\",\",\n \"ResetPassword, path+'/reset', endpoint=\\\"reset_password\\\", methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services )\",\n \"password reset for '{user.username}'\\\") return {\\\"msg\\\": \\\"password successfully been reset!\\\"}, \\\\ HTTPStatus.OK class\",\n \"return {\\\"msg\\\": \\\"password successfully been reset!\\\"}, \\\\ HTTPStatus.OK class RecoverPassword(ServicesResources): \\\"\\\"\\\"send a mail\",\n \"reset_token = body.get(\\\"reset_token\\\") password = body.get(\\\"password\\\") if not reset_token or not password: return\",\n \"= request.get_json() reset_token = body.get(\\\"reset_token\\\") password = body.get(\\\"password\\\") if not reset_token or not\",\n \"class RecoverPassword(ServicesResources): \\\"\\\"\\\"send a mail containing a recover token\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_recover_password.yaml\\\")), endpoint='recover_password') def post(self):\",\n \"decode_token(reset_token)['identity'].get('id') except DecodeError: return {\\\"msg\\\": \\\"Invalid recovery token!\\\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id)\",\n \"{\\\"msg\\\": \\\"password successfully been reset!\\\"}, \\\\ HTTPStatus.OK class RecoverPassword(ServicesResources): \\\"\\\"\\\"send a mail containing\",\n \"reset for '{user.username}'\\\") return {\\\"msg\\\": \\\"password successfully been reset!\\\"}, \\\\ HTTPStatus.OK class RecoverPassword(ServicesResources):\",\n \"recover token to reset their password.\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_reset_password.yaml\\\")), endpoint='reset_password') def post(self): \\\"\\\"\\\"\\\"submit email-adress receive\",\n \"reset!\\\"}, \\\\ HTTPStatus.OK class RecoverPassword(ServicesResources): \\\"\\\"\\\"send a mail containing a recover token\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_recover_password.yaml\\\")),\",\n \"username): return {\\\"msg\\\": \\\"No username or email provided!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # find user\",\n \"= logger_name(__name__) log = logging.getLogger(module_name) def setup(api, api_base, services): path = \\\"/\\\".join([api_base, module_name])\",\n \"str(user.id)}, expires_delta=expires ) self.mail.send_email( \\\"password reset\\\", sender=\\\"<EMAIL>\\\", recipients=[user.email], text_body=render_template(\\\"mail/reset_password_token.txt\\\", token=reset_token), html_body=render_template(\\\"mail/reset_password_token.html\\\", token=reset_token) )\",\n \"= db.User.get_by_email(email) except NoResultFound: # we do not tell them.... But we won't\",\n \"been reset!\\\"}, \\\\ HTTPStatus.OK class RecoverPassword(ServicesResources): \\\"\\\"\\\"send a mail containing a recover token\\\"\\\"\\\"\",\n \"user.save() log.info(f\\\"Successfull password reset for '{user.username}'\\\") return {\\\"msg\\\": \\\"password successfully been reset!\\\"}, \\\\\",\n \"or username): return {\\\"msg\\\": \\\"No username or email provided!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # find\",\n \"from flask import request, render_template from flask_jwt_extended import ( create_access_token, decode_token ) from\",\n \"create_access_token( {\\\"id\\\": str(user.id)}, expires_delta=expires ) self.mail.send_email( \\\"password reset\\\", sender=\\\"<EMAIL>\\\", recipients=[user.email], text_body=render_template(\\\"mail/reset_password_token.txt\\\", token=reset_token), html_body=render_template(\\\"mail/reset_password_token.html\\\",\",\n \"import request, render_template from flask_jwt_extended import ( create_access_token, decode_token ) from jwt.exceptions import\",\n \"mailed.\\\"\\\"\\\" # default return string ret = {\\\"msg\\\": \\\"If the username or email\",\n \"from sqlalchemy.orm.exc import NoResultFound from vantage6.common import logger_name from vantage6.server import db from\",\n \"or email generates a token which is mailed.\\\"\\\"\\\" # default return string ret\",\n \"user based on email or username body = request.get_json() reset_token = body.get(\\\"reset_token\\\") password\",\n \"/ API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \\\"\\\"\\\"user can use recover token to reset\",\n \"from request' body = request.get_json() username = body.get(\\\"username\\\") email = body.get(\\\"email\\\") if not\",\n \"a recover token\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_recover_password.yaml\\\")), endpoint='recover_password') def post(self): \\\"\\\"\\\"username or email generates a token\",\n \"datetime.timedelta(hours=1) reset_token = create_access_token( {\\\"id\\\": str(user.id)}, expires_delta=expires ) self.mail.send_email( \\\"password reset\\\", sender=\\\"<EMAIL>\\\", recipients=[user.email],\",\n \"default return string ret = {\\\"msg\\\": \\\"If the username or email is our\",\n \"flask_jwt_extended import ( create_access_token, decode_token ) from jwt.exceptions import DecodeError from flasgger import\",\n \"import logging import datetime from flask import request, render_template from flask_jwt_extended import (\",\n \"def setup(api, api_base, services): path = \\\"/\\\".join([api_base, module_name]) log.info(f'Setting up \\\"{path}\\\" and subdirectories')\",\n \"is mailed.\\\"\\\"\\\" # default return string ret = {\\\"msg\\\": \\\"If the username or\",\n \"HTTPStatus.BAD_REQUEST # obtain user try: user_id = decode_token(reset_token)['identity'].get('id') except DecodeError: return {\\\"msg\\\": \\\"Invalid\",\n \"and/or password is missing!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # obtain user try: user_id = decode_token(reset_token)['identity'].get('id')\",\n \"obtain user try: user_id = decode_token(reset_token)['identity'].get('id') except DecodeError: return {\\\"msg\\\": \\\"Invalid recovery token!\\\"},\",\n \"ret log.info(f\\\"Password reset requested for '{user.username}'\\\") # generate a token that can reset\",\n \"can reset their password expires = datetime.timedelta(hours=1) reset_token = create_access_token( {\\\"id\\\": str(user.id)}, expires_delta=expires\",\n \"subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\\\"reset_password\\\", methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',),\",\n \"endpoint='reset_password') def post(self): \\\"\\\"\\\"\\\"submit email-adress receive token.\\\"\\\"\\\" # retrieve user based on email\",\n \"body.get(\\\"email\\\") if not (email or username): return {\\\"msg\\\": \\\"No username or email provided!\\\"},\",\n \"= request.get_json() username = body.get(\\\"username\\\") email = body.get(\\\"email\\\") if not (email or username):\",\n \"username or email provided!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # find user in the database, if\",\n \"db.User.get(user_id) # set password user.set_password(password) user.save() log.info(f\\\"Successfull password reset for '{user.username}'\\\") return {\\\"msg\\\":\",\n \"from vantage6.common import logger_name from vantage6.server import db from vantage6.server.resource import ( ServicesResources\",\n \"{\\\"msg\\\": \\\"Invalid recovery token!\\\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id) # set password user.set_password(password)\",\n \"database, if not here we stop! try: if username: user = db.User.get_by_username(username) else:\",\n \"\\\"reset token and/or password is missing!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # obtain user try: user_id\",\n \"receive an email\\\"} # obtain username/email from request' body = request.get_json() username =\",\n \"logger_name(__name__) log = logging.getLogger(module_name) def setup(api, api_base, services): path = \\\"/\\\".join([api_base, module_name]) log.info(f'Setting\",\n \"vantage6.server.resource import ( ServicesResources ) module_name = logger_name(__name__) log = logging.getLogger(module_name) def setup(api,\",\n \"class ResetPassword(ServicesResources): \\\"\\\"\\\"user can use recover token to reset their password.\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_reset_password.yaml\\\")), endpoint='reset_password')\",\n \"you \\\" \\\"will soon receive an email\\\"} # obtain username/email from request' body\",\n \"a mail containing a recover token\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_recover_password.yaml\\\")), endpoint='recover_password') def post(self): \\\"\\\"\\\"username or email\",\n \"endpoint=\\\"reset_password\\\", methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------\",\n \"try: if username: user = db.User.get_by_username(username) else: user = db.User.get_by_email(email) except NoResultFound: #\",\n \") # ------------------------------------------------------------------------------ # Resources / API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \\\"\\\"\\\"user can\",\n \"else: user = db.User.get_by_email(email) except NoResultFound: # we do not tell them.... But\",\n \"if not here we stop! try: if username: user = db.User.get_by_username(username) else: user\",\n \"\\\"\\\"\\\"username or email generates a token which is mailed.\\\"\\\"\\\" # default return string\",\n \"logging import datetime from flask import request, render_template from flask_jwt_extended import ( create_access_token,\",\n \"mail containing a recover token\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_recover_password.yaml\\\")), endpoint='recover_password') def post(self): \\\"\\\"\\\"username or email generates\",\n \"retrieve user based on email or username body = request.get_json() reset_token = body.get(\\\"reset_token\\\")\",\n \"user = db.User.get_by_email(email) except NoResultFound: # we do not tell them.... But we\",\n \"email = body.get(\\\"email\\\") if not (email or username): return {\\\"msg\\\": \\\"No username or\",\n \"\\\\ HTTPStatus.BAD_REQUEST # obtain user try: user_id = decode_token(reset_token)['identity'].get('id') except DecodeError: return {\\\"msg\\\":\",\n \"request' body = request.get_json() username = body.get(\\\"username\\\") email = body.get(\\\"email\\\") if not (email\",\n \"obtain username/email from request' body = request.get_json() username = body.get(\\\"username\\\") email = body.get(\\\"email\\\")\",\n \"body.get(\\\"password\\\") if not reset_token or not password: return {\\\"msg\\\": \\\"reset token and/or password\",\n \"if not reset_token or not password: return {\\\"msg\\\": \\\"reset token and/or password is\",\n \"reset their password expires = datetime.timedelta(hours=1) reset_token = create_access_token( {\\\"id\\\": str(user.id)}, expires_delta=expires )\",\n \"api.add_resource( ResetPassword, path+'/reset', endpoint=\\\"reset_password\\\", methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services\",\n \"reset requested for '{user.username}'\\\") # generate a token that can reset their password\",\n \"= db.User.get_by_username(username) else: user = db.User.get_by_email(email) except NoResultFound: # we do not tell\",\n \"we won't continue either return ret log.info(f\\\"Password reset requested for '{user.username}'\\\") # generate\",\n \"password: return {\\\"msg\\\": \\\"reset token and/or password is missing!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # obtain\",\n \"return {\\\"msg\\\": \\\"Invalid recovery token!\\\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id) # set password\",\n \"But we won't continue either return ret log.info(f\\\"Password reset requested for '{user.username}'\\\") #\",\n \"token that can reset their password expires = datetime.timedelta(hours=1) reset_token = create_access_token( {\\\"id\\\":\",\n \"methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------ #\",\n \"{\\\"msg\\\": \\\"If the username or email is our database you \\\" \\\"will soon\",\n \"token to reset their password.\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_reset_password.yaml\\\")), endpoint='reset_password') def post(self): \\\"\\\"\\\"\\\"submit email-adress receive token.\\\"\\\"\\\"\",\n \"return string ret = {\\\"msg\\\": \\\"If the username or email is our database\",\n \"------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \\\"\\\"\\\"user can use recover token to reset their password.\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_reset_password.yaml\\\")),\",\n \"RecoverPassword(ServicesResources): \\\"\\\"\\\"send a mail containing a recover token\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_recover_password.yaml\\\")), endpoint='recover_password') def post(self): \\\"\\\"\\\"username\",\n \"log = logging.getLogger(module_name) def setup(api, api_base, services): path = \\\"/\\\".join([api_base, module_name]) log.info(f'Setting up\",\n \"username: user = db.User.get_by_username(username) else: user = db.User.get_by_email(email) except NoResultFound: # we do\",\n \"-*- import logging import datetime from flask import request, render_template from flask_jwt_extended import\",\n \"recover token\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_recover_password.yaml\\\")), endpoint='recover_password') def post(self): \\\"\\\"\\\"username or email generates a token which\",\n \"user.set_password(password) user.save() log.info(f\\\"Successfull password reset for '{user.username}'\\\") return {\\\"msg\\\": \\\"password successfully been reset!\\\"},\",\n \"def post(self): \\\"\\\"\\\"username or email generates a token which is mailed.\\\"\\\"\\\" # default\",\n \"\\\\ HTTPStatus.OK class RecoverPassword(ServicesResources): \\\"\\\"\\\"send a mail containing a recover token\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_recover_password.yaml\\\")), endpoint='recover_password')\",\n \"# generate a token that can reset their password expires = datetime.timedelta(hours=1) reset_token\",\n \"{\\\"msg\\\": \\\"reset token and/or password is missing!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # obtain user try:\",\n \"= logging.getLogger(module_name) def setup(api, api_base, services): path = \\\"/\\\".join([api_base, module_name]) log.info(f'Setting up \\\"{path}\\\"\",\n \"recovery token!\\\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id) # set password user.set_password(password) user.save() log.info(f\\\"Successfull\",\n \"email or username body = request.get_json() reset_token = body.get(\\\"reset_token\\\") password = body.get(\\\"password\\\") if\",\n \"import db from vantage6.server.resource import ( ServicesResources ) module_name = logger_name(__name__) log =\",\n \"email-adress receive token.\\\"\\\"\\\" # retrieve user based on email or username body =\",\n \") module_name = logger_name(__name__) log = logging.getLogger(module_name) def setup(api, api_base, services): path =\",\n \"= body.get(\\\"password\\\") if not reset_token or not password: return {\\\"msg\\\": \\\"reset token and/or\",\n \"HTTPStatus.OK class RecoverPassword(ServicesResources): \\\"\\\"\\\"send a mail containing a recover token\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_recover_password.yaml\\\")), endpoint='recover_password') def\",\n \"email\\\"} # obtain username/email from request' body = request.get_json() username = body.get(\\\"username\\\") email\",\n \"\\\"If the username or email is our database you \\\" \\\"will soon receive\",\n \"tell them.... But we won't continue either return ret log.info(f\\\"Password reset requested for\",\n \"either return ret log.info(f\\\"Password reset requested for '{user.username}'\\\") # generate a token that\",\n \"reset_token or not password: return {\\\"msg\\\": \\\"reset token and/or password is missing!\\\"}, \\\\\",\n \"their password expires = datetime.timedelta(hours=1) reset_token = create_access_token( {\\\"id\\\": str(user.id)}, expires_delta=expires ) self.mail.send_email(\",\n \"# Resources / API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \\\"\\\"\\\"user can use recover token\",\n \"from vantage6.server.resource import ( ServicesResources ) module_name = logger_name(__name__) log = logging.getLogger(module_name) def\",\n \"NoResultFound: # we do not tell them.... But we won't continue either return\",\n \"string ret = {\\\"msg\\\": \\\"If the username or email is our database you\",\n \"pathlib import Path from sqlalchemy.orm.exc import NoResultFound from vantage6.common import logger_name from vantage6.server\",\n \"ret = {\\\"msg\\\": \\\"If the username or email is our database you \\\"\",\n \"path = \\\"/\\\".join([api_base, module_name]) log.info(f'Setting up \\\"{path}\\\" and subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\\\"reset_password\\\",\",\n \"import Path from sqlalchemy.orm.exc import NoResultFound from vantage6.common import logger_name from vantage6.server import\",\n \"find user in the database, if not here we stop! try: if username:\",\n \"HTTPStatus from pathlib import Path from sqlalchemy.orm.exc import NoResultFound from vantage6.common import logger_name\",\n \"RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------ # Resources / API's #\",\n \"based on email or username body = request.get_json() reset_token = body.get(\\\"reset_token\\\") password =\",\n \"= body.get(\\\"email\\\") if not (email or username): return {\\\"msg\\\": \\\"No username or email\",\n \"from http import HTTPStatus from pathlib import Path from sqlalchemy.orm.exc import NoResultFound from\",\n \"soon receive an email\\\"} # obtain username/email from request' body = request.get_json() username\",\n \"= datetime.timedelta(hours=1) reset_token = create_access_token( {\\\"id\\\": str(user.id)}, expires_delta=expires ) self.mail.send_email( \\\"password reset\\\", sender=\\\"<EMAIL>\\\",\",\n \"import logger_name from vantage6.server import db from vantage6.server.resource import ( ServicesResources ) module_name\",\n \"methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------ # Resources / API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources):\",\n \"{\\\"id\\\": str(user.id)}, expires_delta=expires ) self.mail.send_email( \\\"password reset\\\", sender=\\\"<EMAIL>\\\", recipients=[user.email], text_body=render_template(\\\"mail/reset_password_token.txt\\\", token=reset_token), html_body=render_template(\\\"mail/reset_password_token.html\\\", token=reset_token)\",\n \"( ServicesResources ) module_name = logger_name(__name__) log = logging.getLogger(module_name) def setup(api, api_base, services):\",\n \"import NoResultFound from vantage6.common import logger_name from vantage6.server import db from vantage6.server.resource import\",\n \"provided!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # find user in the database, if not here we\",\n \"import swag_from from http import HTTPStatus from pathlib import Path from sqlalchemy.orm.exc import\",\n \"email is our database you \\\" \\\"will soon receive an email\\\"} # obtain\",\n \"(email or username): return {\\\"msg\\\": \\\"No username or email provided!\\\"}, \\\\ HTTPStatus.BAD_REQUEST #\",\n \"generate a token that can reset their password expires = datetime.timedelta(hours=1) reset_token =\",\n \"we do not tell them.... But we won't continue either return ret log.info(f\\\"Password\",\n \"# default return string ret = {\\\"msg\\\": \\\"If the username or email is\",\n \"for '{user.username}'\\\") # generate a token that can reset their password expires =\",\n \"resource_class_kwargs=services ) # ------------------------------------------------------------------------------ # Resources / API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \\\"\\\"\\\"user\",\n \"not password: return {\\\"msg\\\": \\\"reset token and/or password is missing!\\\"}, \\\\ HTTPStatus.BAD_REQUEST #\",\n \"services): path = \\\"/\\\".join([api_base, module_name]) log.info(f'Setting up \\\"{path}\\\" and subdirectories') api.add_resource( ResetPassword, path+'/reset',\",\n \"email provided!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # find user in the database, if not here\",\n \"our database you \\\" \\\"will soon receive an email\\\"} # obtain username/email from\",\n \"request.get_json() reset_token = body.get(\\\"reset_token\\\") password = body.get(\\\"password\\\") if not reset_token or not password:\",\n \"expires = datetime.timedelta(hours=1) reset_token = create_access_token( {\\\"id\\\": str(user.id)}, expires_delta=expires ) self.mail.send_email( \\\"password reset\\\",\",\n \"@swag_from(str(Path(r\\\"swagger/post_recover_password.yaml\\\")), endpoint='recover_password') def post(self): \\\"\\\"\\\"username or email generates a token which is mailed.\\\"\\\"\\\"\",\n \"not here we stop! try: if username: user = db.User.get_by_username(username) else: user =\",\n \"requested for '{user.username}'\\\") # generate a token that can reset their password expires\",\n \"token and/or password is missing!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # obtain user try: user_id =\",\n \"use recover token to reset their password.\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_reset_password.yaml\\\")), endpoint='reset_password') def post(self): \\\"\\\"\\\"\\\"submit email-adress\",\n \"can use recover token to reset their password.\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_reset_password.yaml\\\")), endpoint='reset_password') def post(self): \\\"\\\"\\\"\\\"submit\",\n \"post(self): \\\"\\\"\\\"\\\"submit email-adress receive token.\\\"\\\"\\\" # retrieve user based on email or username\",\n \"------------------------------------------------------------------------------ # Resources / API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \\\"\\\"\\\"user can use recover\",\n \"except NoResultFound: # we do not tell them.... But we won't continue either\",\n \"request.get_json() username = body.get(\\\"username\\\") email = body.get(\\\"email\\\") if not (email or username): return\",\n \"= body.get(\\\"reset_token\\\") password = body.get(\\\"password\\\") if not reset_token or not password: return {\\\"msg\\\":\",\n \"# retrieve user based on email or username body = request.get_json() reset_token =\",\n \"log.info(f\\\"Password reset requested for '{user.username}'\\\") # generate a token that can reset their\",\n \"\\\"will soon receive an email\\\"} # obtain username/email from request' body = request.get_json()\",\n \"body = request.get_json() username = body.get(\\\"username\\\") email = body.get(\\\"email\\\") if not (email or\",\n \"DecodeError: return {\\\"msg\\\": \\\"Invalid recovery token!\\\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id) # set\",\n \"password expires = datetime.timedelta(hours=1) reset_token = create_access_token( {\\\"id\\\": str(user.id)}, expires_delta=expires ) self.mail.send_email( \\\"password\",\n \"user try: user_id = decode_token(reset_token)['identity'].get('id') except DecodeError: return {\\\"msg\\\": \\\"Invalid recovery token!\\\"}, HTTPStatus.BAD_REQUEST\",\n \"import DecodeError from flasgger import swag_from from http import HTTPStatus from pathlib import\",\n \"# set password user.set_password(password) user.save() log.info(f\\\"Successfull password reset for '{user.username}'\\\") return {\\\"msg\\\": \\\"password\",\n \"= body.get(\\\"username\\\") email = body.get(\\\"email\\\") if not (email or username): return {\\\"msg\\\": \\\"No\",\n \"password user.set_password(password) user.save() log.info(f\\\"Successfull password reset for '{user.username}'\\\") return {\\\"msg\\\": \\\"password successfully been\",\n \"in the database, if not here we stop! try: if username: user =\",\n \"successfully been reset!\\\"}, \\\\ HTTPStatus.OK class RecoverPassword(ServicesResources): \\\"\\\"\\\"send a mail containing a recover\",\n \"from flask_jwt_extended import ( create_access_token, decode_token ) from jwt.exceptions import DecodeError from flasgger\",\n \"\\\"\\\"\\\"send a mail containing a recover token\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_recover_password.yaml\\\")), endpoint='recover_password') def post(self): \\\"\\\"\\\"username or\",\n \"user = db.User.get_by_username(username) else: user = db.User.get_by_email(email) except NoResultFound: # we do not\",\n \"db from vantage6.server.resource import ( ServicesResources ) module_name = logger_name(__name__) log = logging.getLogger(module_name)\",\n \"to reset their password.\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_reset_password.yaml\\\")), endpoint='reset_password') def post(self): \\\"\\\"\\\"\\\"submit email-adress receive token.\\\"\\\"\\\" #\",\n \"endpoint='recover_password') def post(self): \\\"\\\"\\\"username or email generates a token which is mailed.\\\"\\\"\\\" #\",\n \"not reset_token or not password: return {\\\"msg\\\": \\\"reset token and/or password is missing!\\\"},\",\n \"which is mailed.\\\"\\\"\\\" # default return string ret = {\\\"msg\\\": \\\"If the username\",\n \"here we stop! try: if username: user = db.User.get_by_username(username) else: user = db.User.get_by_email(email)\",\n \"stop! try: if username: user = db.User.get_by_username(username) else: user = db.User.get_by_email(email) except NoResultFound:\",\n \"# obtain user try: user_id = decode_token(reset_token)['identity'].get('id') except DecodeError: return {\\\"msg\\\": \\\"Invalid recovery\",\n \"path+'/reset', endpoint=\\\"reset_password\\\", methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) #\",\n \"\\\" \\\"will soon receive an email\\\"} # obtain username/email from request' body =\",\n \"try: user_id = decode_token(reset_token)['identity'].get('id') except DecodeError: return {\\\"msg\\\": \\\"Invalid recovery token!\\\"}, HTTPStatus.BAD_REQUEST log.debug(user_id)\",\n \"except DecodeError: return {\\\"msg\\\": \\\"Invalid recovery token!\\\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id) #\",\n \"return {\\\"msg\\\": \\\"reset token and/or password is missing!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # obtain user\",\n \"an email\\\"} # obtain username/email from request' body = request.get_json() username = body.get(\\\"username\\\")\",\n \"import datetime from flask import request, render_template from flask_jwt_extended import ( create_access_token, decode_token\",\n \"if not (email or username): return {\\\"msg\\\": \\\"No username or email provided!\\\"}, \\\\\",\n \"\\\\ HTTPStatus.BAD_REQUEST # find user in the database, if not here we stop!\",\n \"database you \\\" \\\"will soon receive an email\\\"} # obtain username/email from request'\",\n \"HTTPStatus.BAD_REQUEST # find user in the database, if not here we stop! try:\",\n \"\\\"\\\"\\\"\\\"submit email-adress receive token.\\\"\\\"\\\" # retrieve user based on email or username body\",\n \"username or email is our database you \\\" \\\"will soon receive an email\\\"}\",\n \"log.info(f'Setting up \\\"{path}\\\" and subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\\\"reset_password\\\", methods=('POST',), resource_class_kwargs=services ) api.add_resource(\",\n \"Resources / API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \\\"\\\"\\\"user can use recover token to\",\n \"db.User.get_by_username(username) else: user = db.User.get_by_email(email) except NoResultFound: # we do not tell them....\",\n \"token!\\\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id) # set password user.set_password(password) user.save() log.info(f\\\"Successfull password\",\n \"( create_access_token, decode_token ) from jwt.exceptions import DecodeError from flasgger import swag_from from\",\n \"import ( create_access_token, decode_token ) from jwt.exceptions import DecodeError from flasgger import swag_from\",\n \"post(self): \\\"\\\"\\\"username or email generates a token which is mailed.\\\"\\\"\\\" # default return\",\n \"DecodeError from flasgger import swag_from from http import HTTPStatus from pathlib import Path\",\n \"\\\"/\\\".join([api_base, module_name]) log.info(f'Setting up \\\"{path}\\\" and subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\\\"reset_password\\\", methods=('POST',), resource_class_kwargs=services\",\n \"up \\\"{path}\\\" and subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\\\"reset_password\\\", methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword,\",\n \"email generates a token which is mailed.\\\"\\\"\\\" # default return string ret =\",\n \") self.mail.send_email( \\\"password reset\\\", sender=\\\"<EMAIL>\\\", recipients=[user.email], text_body=render_template(\\\"mail/reset_password_token.txt\\\", token=reset_token), html_body=render_template(\\\"mail/reset_password_token.html\\\", token=reset_token) ) return ret\",\n \"password.\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_reset_password.yaml\\\")), endpoint='reset_password') def post(self): \\\"\\\"\\\"\\\"submit email-adress receive token.\\\"\\\"\\\" # retrieve user based\",\n \"setup(api, api_base, services): path = \\\"/\\\".join([api_base, module_name]) log.info(f'Setting up \\\"{path}\\\" and subdirectories') api.add_resource(\",\n \"is missing!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # obtain user try: user_id = decode_token(reset_token)['identity'].get('id') except DecodeError:\",\n \"them.... But we won't continue either return ret log.info(f\\\"Password reset requested for '{user.username}'\\\")\",\n \"body.get(\\\"reset_token\\\") password = body.get(\\\"password\\\") if not reset_token or not password: return {\\\"msg\\\": \\\"reset\",\n \"\\\"password successfully been reset!\\\"}, \\\\ HTTPStatus.OK class RecoverPassword(ServicesResources): \\\"\\\"\\\"send a mail containing a\",\n \"not tell them.... But we won't continue either return ret log.info(f\\\"Password reset requested\",\n \"module_name = logger_name(__name__) log = logging.getLogger(module_name) def setup(api, api_base, services): path = \\\"/\\\".join([api_base,\",\n \"or email is our database you \\\" \\\"will soon receive an email\\\"} #\",\n \"body.get(\\\"username\\\") email = body.get(\\\"email\\\") if not (email or username): return {\\\"msg\\\": \\\"No username\",\n \"user in the database, if not here we stop! try: if username: user\",\n \"for '{user.username}'\\\") return {\\\"msg\\\": \\\"password successfully been reset!\\\"}, \\\\ HTTPStatus.OK class RecoverPassword(ServicesResources): \\\"\\\"\\\"send\",\n \"we stop! try: if username: user = db.User.get_by_username(username) else: user = db.User.get_by_email(email) except\",\n \"the database, if not here we stop! try: if username: user = db.User.get_by_username(username)\",\n \"= \\\"/\\\".join([api_base, module_name]) log.info(f'Setting up \\\"{path}\\\" and subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\\\"reset_password\\\", methods=('POST',),\",\n \"= create_access_token( {\\\"id\\\": str(user.id)}, expires_delta=expires ) self.mail.send_email( \\\"password reset\\\", sender=\\\"<EMAIL>\\\", recipients=[user.email], text_body=render_template(\\\"mail/reset_password_token.txt\\\", token=reset_token),\",\n \"not (email or username): return {\\\"msg\\\": \\\"No username or email provided!\\\"}, \\\\ HTTPStatus.BAD_REQUEST\",\n \"vantage6.common import logger_name from vantage6.server import db from vantage6.server.resource import ( ServicesResources )\",\n \"'{user.username}'\\\") return {\\\"msg\\\": \\\"password successfully been reset!\\\"}, \\\\ HTTPStatus.OK class RecoverPassword(ServicesResources): \\\"\\\"\\\"send a\",\n \"token which is mailed.\\\"\\\"\\\" # default return string ret = {\\\"msg\\\": \\\"If the\",\n \"import HTTPStatus from pathlib import Path from sqlalchemy.orm.exc import NoResultFound from vantage6.common import\",\n \"@swag_from(str(Path(r\\\"swagger/post_reset_password.yaml\\\")), endpoint='reset_password') def post(self): \\\"\\\"\\\"\\\"submit email-adress receive token.\\\"\\\"\\\" # retrieve user based on\",\n \"\\\"No username or email provided!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # find user in the database,\",\n \"create_access_token, decode_token ) from jwt.exceptions import DecodeError from flasgger import swag_from from http\",\n \"Path from sqlalchemy.orm.exc import NoResultFound from vantage6.common import logger_name from vantage6.server import db\",\n \"receive token.\\\"\\\"\\\" # retrieve user based on email or username body = request.get_json()\",\n \"{\\\"msg\\\": \\\"No username or email provided!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # find user in the\",\n \"utf-8 -*- import logging import datetime from flask import request, render_template from flask_jwt_extended\",\n \"reset their password.\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_reset_password.yaml\\\")), endpoint='reset_password') def post(self): \\\"\\\"\\\"\\\"submit email-adress receive token.\\\"\\\"\\\" # retrieve\",\n \"return {\\\"msg\\\": \\\"No username or email provided!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # find user in\",\n \"token.\\\"\\\"\\\" # retrieve user based on email or username body = request.get_json() reset_token\",\n \"on email or username body = request.get_json() reset_token = body.get(\\\"reset_token\\\") password = body.get(\\\"password\\\")\",\n \"flask import request, render_template from flask_jwt_extended import ( create_access_token, decode_token ) from jwt.exceptions\",\n \"# obtain username/email from request' body = request.get_json() username = body.get(\\\"username\\\") email =\",\n \"API's # ------------------------------------------------------------------------------ class ResetPassword(ServicesResources): \\\"\\\"\\\"user can use recover token to reset their\",\n \"from flasgger import swag_from from http import HTTPStatus from pathlib import Path from\",\n \"= decode_token(reset_token)['identity'].get('id') except DecodeError: return {\\\"msg\\\": \\\"Invalid recovery token!\\\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user =\",\n \"HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id) # set password user.set_password(password) user.save() log.info(f\\\"Successfull password reset\",\n \"# -*- coding: utf-8 -*- import logging import datetime from flask import request,\",\n \"password = body.get(\\\"password\\\") if not reset_token or not password: return {\\\"msg\\\": \\\"reset token\",\n \"generates a token which is mailed.\\\"\\\"\\\" # default return string ret = {\\\"msg\\\":\",\n \"or not password: return {\\\"msg\\\": \\\"reset token and/or password is missing!\\\"}, \\\\ HTTPStatus.BAD_REQUEST\",\n \"from vantage6.server import db from vantage6.server.resource import ( ServicesResources ) module_name = logger_name(__name__)\",\n \"user_id = decode_token(reset_token)['identity'].get('id') except DecodeError: return {\\\"msg\\\": \\\"Invalid recovery token!\\\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user\",\n \"or username body = request.get_json() reset_token = body.get(\\\"reset_token\\\") password = body.get(\\\"password\\\") if not\",\n \"module_name]) log.info(f'Setting up \\\"{path}\\\" and subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\\\"reset_password\\\", methods=('POST',), resource_class_kwargs=services )\",\n \"swag_from from http import HTTPStatus from pathlib import Path from sqlalchemy.orm.exc import NoResultFound\",\n \"decode_token ) from jwt.exceptions import DecodeError from flasgger import swag_from from http import\",\n \"path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------ # Resources / API's # ------------------------------------------------------------------------------\",\n \"password is missing!\\\"}, \\\\ HTTPStatus.BAD_REQUEST # obtain user try: user_id = decode_token(reset_token)['identity'].get('id') except\",\n \"that can reset their password expires = datetime.timedelta(hours=1) reset_token = create_access_token( {\\\"id\\\": str(user.id)},\",\n \"if username: user = db.User.get_by_username(username) else: user = db.User.get_by_email(email) except NoResultFound: # we\",\n \") from jwt.exceptions import DecodeError from flasgger import swag_from from http import HTTPStatus\",\n \"a token that can reset their password expires = datetime.timedelta(hours=1) reset_token = create_access_token(\",\n \"return ret log.info(f\\\"Password reset requested for '{user.username}'\\\") # generate a token that can\",\n \"coding: utf-8 -*- import logging import datetime from flask import request, render_template from\",\n \"won't continue either return ret log.info(f\\\"Password reset requested for '{user.username}'\\\") # generate a\",\n \"endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------ # Resources / API's # ------------------------------------------------------------------------------ class\",\n \"is our database you \\\" \\\"will soon receive an email\\\"} # obtain username/email\",\n \"a token which is mailed.\\\"\\\"\\\" # default return string ret = {\\\"msg\\\": \\\"If\",\n \"\\\"\\\"\\\"user can use recover token to reset their password.\\\"\\\"\\\" @swag_from(str(Path(r\\\"swagger/post_reset_password.yaml\\\")), endpoint='reset_password') def post(self):\",\n \"= db.User.get(user_id) # set password user.set_password(password) user.save() log.info(f\\\"Successfull password reset for '{user.username}'\\\") return\",\n \"\\\"{path}\\\" and subdirectories') api.add_resource( ResetPassword, path+'/reset', endpoint=\\\"reset_password\\\", methods=('POST',), resource_class_kwargs=services ) api.add_resource( RecoverPassword, path+'/lost',\",\n \"logging.getLogger(module_name) def setup(api, api_base, services): path = \\\"/\\\".join([api_base, module_name]) log.info(f'Setting up \\\"{path}\\\" and\",\n \"continue either return ret log.info(f\\\"Password reset requested for '{user.username}'\\\") # generate a token\",\n \"logger_name from vantage6.server import db from vantage6.server.resource import ( ServicesResources ) module_name =\",\n \"request, render_template from flask_jwt_extended import ( create_access_token, decode_token ) from jwt.exceptions import DecodeError\",\n \"username body = request.get_json() reset_token = body.get(\\\"reset_token\\\") password = body.get(\\\"password\\\") if not reset_token\",\n \"ServicesResources ) module_name = logger_name(__name__) log = logging.getLogger(module_name) def setup(api, api_base, services): path\",\n \"api.add_resource( RecoverPassword, path+'/lost', endpoint='recover_password', methods=('POST',), resource_class_kwargs=services ) # ------------------------------------------------------------------------------ # Resources / API's\",\n \"\\\"Invalid recovery token!\\\"}, HTTPStatus.BAD_REQUEST log.debug(user_id) user = db.User.get(user_id) # set password user.set_password(password) user.save()\",\n \"api_base, services): path = \\\"/\\\".join([api_base, module_name]) log.info(f'Setting up \\\"{path}\\\" and subdirectories') api.add_resource( ResetPassword,\",\n \"render_template from flask_jwt_extended import ( create_access_token, decode_token ) from jwt.exceptions import DecodeError from\",\n \"user = db.User.get(user_id) # set password user.set_password(password) user.save() log.info(f\\\"Successfull password reset for '{user.username}'\\\")\",\n \"jwt.exceptions import DecodeError from flasgger import swag_from from http import HTTPStatus from pathlib\",\n \"vantage6.server import db from vantage6.server.resource import ( ServicesResources ) module_name = logger_name(__name__) log\",\n \"sqlalchemy.orm.exc import NoResultFound from vantage6.common import logger_name from vantage6.server import db from vantage6.server.resource\"\n]","isConversational":false}}},{"rowIdx":1989,"cells":{"ngram":{"kind":"list like","value":["(example: 'eu-west-1') \"aws_access_key_id\": None, # specify AWS access key (example: '<KEY>') \"aws_secret_access_key\": None,","service.log(\"middleware after\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \"example-aws-sns-sqs-service\" log_level = \"INFO\" uuid","options = { \"aws_sns_sqs\": { \"region_name\": None, # specify AWS region (example: 'eu-west-1')","async def middleware_function( func: Callable, service: Any, message: Any, topic: str, context: Dict,","# Functinoality after function is called service.log(\"middleware after\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name","id='overridden', **kwargs) # Functinoality after function is called service.log(\"middleware after\") return return_value class","log_level = \"INFO\" uuid = str(os.environ.get(\"SERVICE_UUID\") or \"\") # Build own \"discovery\" functions,","For example 'http://localhost:4575' if localstack is used for testing \"sqs\": None, # For","import os from typing import Any, Callable, Dict import tomodachi from tomodachi import","- \"{}\"'.format(data)) async def _started_service(self) -> None: async def publish(data: Any, topic: str)","the possibility to pass in extra arguments or keywords arguments, for example: #","[middleware_function] # Some options can be specified to define credentials, used ports, hostnames,","data: Any) -> None: self.log('Received data (function: route1a) - \"{}\"'.format(data)) async def _started_service(self)","is called service.log(\"middleware after\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \"example-aws-sns-sqs-service\" log_level =","See tomodachi/discovery/aws_sns_registration.py for example discovery = [AWSSNSRegistration] # The message envelope class defines","{ \"aws_sns_sqs\": { \"region_name\": None, # specify AWS region (example: 'eu-west-1') \"aws_access_key_id\": None,","a middleware function that is run on every incoming message. # Several middlewares","message: Any, topic: str, context: Dict, *args: Any, **kwargs: Any ) -> Any:","= \"INFO\" uuid = str(os.environ.get(\"SERVICE_UUID\") or \"\") # Build own \"discovery\" functions, to","import tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope","AWS region (example: 'eu-west-1') \"aws_access_key_id\": None, # specify AWS access key (example: '<KEY>')","in extra arguments or keywords arguments, for example: # return_value = await func(*args,","# Adds a middleware function that is run on every incoming message. #","key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \"aws_endpoint_urls\": { \"sns\": None, # For example 'http://localhost:4575' if","= str(os.environ.get(\"SERVICE_UUID\") or \"\") # Build own \"discovery\" functions, to be run on","before function is called service.log(\"middleware before\") return_value = await func(*args, **kwargs) # There's","**kwargs) # There's also the possibility to pass in extra arguments or keywords","The message envelope class defines how a message should be processed when sent","using JSON and transferring some metadata message_envelope = JsonBase # Adds a middleware","on every incoming message. # Several middlewares can be chained. message_middleware = [middleware_function]","# For example 'http://localhost:4576' if localstack is used for testing }, } @aws_sns_sqs(\"example-route1\")","be specified to define credentials, used ports, hostnames, access log, etc. options =","hostnames, access log, etc. options = { \"aws_sns_sqs\": { \"region_name\": None, # specify","class ExampleAWSSNSSQSService(tomodachi.Service): name = \"example-aws-sns-sqs-service\" log_level = \"INFO\" uuid = str(os.environ.get(\"SERVICE_UUID\") or \"\")","See tomodachi/envelope/json_base.py for a basic example using JSON and transferring some metadata message_envelope","tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import JsonBase async","Any ) -> Any: # Functionality before function is called service.log(\"middleware before\") return_value","tomodachi.envelope import JsonBase async def middleware_function( func: Callable, service: Any, message: Any, topic:","async def publish(data: Any, topic: str) -> None: self.log('Publish data \"{}\"'.format(data)) await aws_sns_sqs_publish(self,","a basic example using JSON and transferring some metadata message_envelope = JsonBase #","used for testing }, } @aws_sns_sqs(\"example-route1\") async def route1a(self, data: Any) -> None:","testing }, } @aws_sns_sqs(\"example-route1\") async def route1a(self, data: Any) -> None: self.log('Received data","typing import Any, Callable, Dict import tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from","be processed when sent and received # See tomodachi/envelope/json_base.py for a basic example","None, # For example 'http://localhost:4576' if localstack is used for testing }, }","message. # Several middlewares can be chained. message_middleware = [middleware_function] # Some options","is used for testing }, } @aws_sns_sqs(\"example-route1\") async def route1a(self, data: Any) ->","stop # See tomodachi/discovery/aws_sns_registration.py for example discovery = [AWSSNSRegistration] # The message envelope","topic: str, context: Dict, *args: Any, **kwargs: Any ) -> Any: # Functionality","Dict, *args: Any, **kwargs: Any ) -> Any: # Functionality before function is","= { \"aws_sns_sqs\": { \"region_name\": None, # specify AWS region (example: 'eu-west-1') \"aws_access_key_id\":","example discovery = [AWSSNSRegistration] # The message envelope class defines how a message","def _started_service(self) -> None: async def publish(data: Any, topic: str) -> None: self.log('Publish","-> Any: # Functionality before function is called service.log(\"middleware before\") return_value = await","**kwargs) # Functinoality after function is called service.log(\"middleware after\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service):","def middleware_function( func: Callable, service: Any, message: Any, topic: str, context: Dict, *args:","\"region_name\": None, # specify AWS region (example: 'eu-west-1') \"aws_access_key_id\": None, # specify AWS","middleware_function( func: Callable, service: Any, message: Any, topic: str, context: Dict, *args: Any,","uuid = str(os.environ.get(\"SERVICE_UUID\") or \"\") # Build own \"discovery\" functions, to be run","from tomodachi.envelope import JsonBase async def middleware_function( func: Callable, service: Any, message: Any,","run on every incoming message. # Several middlewares can be chained. message_middleware =","a message should be processed when sent and received # See tomodachi/envelope/json_base.py for","envelope class defines how a message should be processed when sent and received","can be chained. message_middleware = [middleware_function] # Some options can be specified to","Functinoality after function is called service.log(\"middleware after\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name =","Build own \"discovery\" functions, to be run on start and stop # See","is run on every incoming message. # Several middlewares can be chained. message_middleware","specify AWS region (example: 'eu-west-1') \"aws_access_key_id\": None, # specify AWS access key (example:","_started_service(self) -> None: async def publish(data: Any, topic: str) -> None: self.log('Publish data","arguments, for example: # return_value = await func(*args, id='overridden', **kwargs) # Functinoality after","route1a(self, data: Any) -> None: self.log('Received data (function: route1a) - \"{}\"'.format(data)) async def","on start and stop # See tomodachi/discovery/aws_sns_registration.py for example discovery = [AWSSNSRegistration] #","possibility to pass in extra arguments or keywords arguments, for example: # return_value","None, # specify AWS region (example: 'eu-west-1') \"aws_access_key_id\": None, # specify AWS access","= \"example-aws-sns-sqs-service\" log_level = \"INFO\" uuid = str(os.environ.get(\"SERVICE_UUID\") or \"\") # Build own","AWSSNSRegistration from tomodachi.envelope import JsonBase async def middleware_function( func: Callable, service: Any, message:","Any, topic: str, context: Dict, *args: Any, **kwargs: Any ) -> Any: #","# specify AWS region (example: 'eu-west-1') \"aws_access_key_id\": None, # specify AWS access key","defines how a message should be processed when sent and received # See","access key (example: '<KEY>') \"aws_secret_access_key\": None, # specify AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA')","} @aws_sns_sqs(\"example-route1\") async def route1a(self, data: Any) -> None: self.log('Received data (function: route1a)","(function: route1a) - \"{}\"'.format(data)) async def _started_service(self) -> None: async def publish(data: Any,","example: # return_value = await func(*args, id='overridden', **kwargs) # Functinoality after function is","key (example: '<KEY>') \"aws_secret_access_key\": None, # specify AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') },",") -> Any: # Functionality before function is called service.log(\"middleware before\") return_value =","# Some options can be specified to define credentials, used ports, hostnames, access","# return_value = await func(*args, id='overridden', **kwargs) # Functinoality after function is called","received # See tomodachi/envelope/json_base.py for a basic example using JSON and transferring some","from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import JsonBase","def publish(data: Any, topic: str) -> None: self.log('Publish data \"{}\"'.format(data)) await aws_sns_sqs_publish(self, data,","**kwargs: Any ) -> Any: # Functionality before function is called service.log(\"middleware before\")","and transferring some metadata message_envelope = JsonBase # Adds a middleware function that","-> None: self.log('Publish data \"{}\"'.format(data)) await aws_sns_sqs_publish(self, data, topic=topic, wait=False) await publish(\"友達\", \"example-route1\")","AWS access key (example: '<KEY>') \"aws_secret_access_key\": None, # specify AWS secret key (example:","if localstack is used for testing \"sqs\": None, # For example 'http://localhost:4576' if","every incoming message. # Several middlewares can be chained. message_middleware = [middleware_function] #","'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \"aws_endpoint_urls\": { \"sns\": None, # For example 'http://localhost:4575' if localstack is","{ \"region_name\": None, # specify AWS region (example: 'eu-west-1') \"aws_access_key_id\": None, # specify","# See tomodachi/envelope/json_base.py for a basic example using JSON and transferring some metadata","[AWSSNSRegistration] # The message envelope class defines how a message should be processed","is used for testing \"sqs\": None, # For example 'http://localhost:4576' if localstack is","chained. message_middleware = [middleware_function] # Some options can be specified to define credentials,","transferring some metadata message_envelope = JsonBase # Adds a middleware function that is","\"INFO\" uuid = str(os.environ.get(\"SERVICE_UUID\") or \"\") # Build own \"discovery\" functions, to be","JsonBase # Adds a middleware function that is run on every incoming message.","to be run on start and stop # See tomodachi/discovery/aws_sns_registration.py for example discovery","metadata message_envelope = JsonBase # Adds a middleware function that is run on","can be specified to define credentials, used ports, hostnames, access log, etc. options","(example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \"aws_endpoint_urls\": { \"sns\": None, # For example 'http://localhost:4575' if localstack","used for testing \"sqs\": None, # For example 'http://localhost:4576' if localstack is used","define credentials, used ports, hostnames, access log, etc. options = { \"aws_sns_sqs\": {","None: async def publish(data: Any, topic: str) -> None: self.log('Publish data \"{}\"'.format(data)) await","also the possibility to pass in extra arguments or keywords arguments, for example:","For example 'http://localhost:4576' if localstack is used for testing }, } @aws_sns_sqs(\"example-route1\") async","to define credentials, used ports, hostnames, access log, etc. options = { \"aws_sns_sqs\":","topic: str) -> None: self.log('Publish data \"{}\"'.format(data)) await aws_sns_sqs_publish(self, data, topic=topic, wait=False) await","'eu-west-1') \"aws_access_key_id\": None, # specify AWS access key (example: '<KEY>') \"aws_secret_access_key\": None, #","function is called service.log(\"middleware before\") return_value = await func(*args, **kwargs) # There's also","access log, etc. options = { \"aws_sns_sqs\": { \"region_name\": None, # specify AWS","# Build own \"discovery\" functions, to be run on start and stop #","for a basic example using JSON and transferring some metadata message_envelope = JsonBase","str) -> None: self.log('Publish data \"{}\"'.format(data)) await aws_sns_sqs_publish(self, data, topic=topic, wait=False) await publish(\"友達\",","= [middleware_function] # Some options can be specified to define credentials, used ports,","func: Callable, service: Any, message: Any, topic: str, context: Dict, *args: Any, **kwargs:","is called service.log(\"middleware before\") return_value = await func(*args, **kwargs) # There's also the","\"aws_endpoint_urls\": { \"sns\": None, # For example 'http://localhost:4575' if localstack is used for","log, etc. options = { \"aws_sns_sqs\": { \"region_name\": None, # specify AWS region","to pass in extra arguments or keywords arguments, for example: # return_value =","name = \"example-aws-sns-sqs-service\" log_level = \"INFO\" uuid = str(os.environ.get(\"SERVICE_UUID\") or \"\") # Build","func(*args, id='overridden', **kwargs) # Functinoality after function is called service.log(\"middleware after\") return return_value","for example discovery = [AWSSNSRegistration] # The message envelope class defines how a","localstack is used for testing }, } @aws_sns_sqs(\"example-route1\") async def route1a(self, data: Any)","region (example: 'eu-west-1') \"aws_access_key_id\": None, # specify AWS access key (example: '<KEY>') \"aws_secret_access_key\":","Any, message: Any, topic: str, context: Dict, *args: Any, **kwargs: Any ) ->","Any: # Functionality before function is called service.log(\"middleware before\") return_value = await func(*args,","secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \"aws_endpoint_urls\": { \"sns\": None, # For example 'http://localhost:4575'","Any) -> None: self.log('Received data (function: route1a) - \"{}\"'.format(data)) async def _started_service(self) ->","import JsonBase async def middleware_function( func: Callable, service: Any, message: Any, topic: str,","import AWSSNSRegistration from tomodachi.envelope import JsonBase async def middleware_function( func: Callable, service: Any,","service.log(\"middleware before\") return_value = await func(*args, **kwargs) # There's also the possibility to","discovery = [AWSSNSRegistration] # The message envelope class defines how a message should","specify AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \"aws_endpoint_urls\": { \"sns\": None, # For","message_middleware = [middleware_function] # Some options can be specified to define credentials, used","if localstack is used for testing }, } @aws_sns_sqs(\"example-route1\") async def route1a(self, data:","JSON and transferring some metadata message_envelope = JsonBase # Adds a middleware function","str(os.environ.get(\"SERVICE_UUID\") or \"\") # Build own \"discovery\" functions, to be run on start","tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import JsonBase async def middleware_function( func: Callable, service:","return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \"example-aws-sns-sqs-service\" log_level = \"INFO\" uuid = str(os.environ.get(\"SERVICE_UUID\") or","Functionality before function is called service.log(\"middleware before\") return_value = await func(*args, **kwargs) #","Some options can be specified to define credentials, used ports, hostnames, access log,","-> None: self.log('Received data (function: route1a) - \"{}\"'.format(data)) async def _started_service(self) -> None:","\"discovery\" functions, to be run on start and stop # See tomodachi/discovery/aws_sns_registration.py for","self.log('Received data (function: route1a) - \"{}\"'.format(data)) async def _started_service(self) -> None: async def","# There's also the possibility to pass in extra arguments or keywords arguments,","= JsonBase # Adds a middleware function that is run on every incoming","-> None: async def publish(data: Any, topic: str) -> None: self.log('Publish data \"{}\"'.format(data))","@aws_sns_sqs(\"example-route1\") async def route1a(self, data: Any) -> None: self.log('Received data (function: route1a) -","Any, **kwargs: Any ) -> Any: # Functionality before function is called service.log(\"middleware","specify AWS access key (example: '<KEY>') \"aws_secret_access_key\": None, # specify AWS secret key","def route1a(self, data: Any) -> None: self.log('Received data (function: route1a) - \"{}\"'.format(data)) async","'http://localhost:4576' if localstack is used for testing }, } @aws_sns_sqs(\"example-route1\") async def route1a(self,","from typing import Any, Callable, Dict import tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish","when sent and received # See tomodachi/envelope/json_base.py for a basic example using JSON","Adds a middleware function that is run on every incoming message. # Several","\"aws_access_key_id\": None, # specify AWS access key (example: '<KEY>') \"aws_secret_access_key\": None, # specify","{ \"sns\": None, # For example 'http://localhost:4575' if localstack is used for testing","\"sns\": None, # For example 'http://localhost:4575' if localstack is used for testing \"sqs\":","AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \"aws_endpoint_urls\": { \"sns\": None, # For example","arguments or keywords arguments, for example: # return_value = await func(*args, id='overridden', **kwargs)","context: Dict, *args: Any, **kwargs: Any ) -> Any: # Functionality before function","async def route1a(self, data: Any) -> None: self.log('Received data (function: route1a) - \"{}\"'.format(data))","publish(data: Any, topic: str) -> None: self.log('Publish data \"{}\"'.format(data)) await aws_sns_sqs_publish(self, data, topic=topic,","testing \"sqs\": None, # For example 'http://localhost:4576' if localstack is used for testing","tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import","*args: Any, **kwargs: Any ) -> Any: # Functionality before function is called","return_value = await func(*args, id='overridden', **kwargs) # Functinoality after function is called service.log(\"middleware","\"sqs\": None, # For example 'http://localhost:4576' if localstack is used for testing },","class defines how a message should be processed when sent and received #","Any, topic: str) -> None: self.log('Publish data \"{}\"'.format(data)) await aws_sns_sqs_publish(self, data, topic=topic, wait=False)","'<KEY>') \"aws_secret_access_key\": None, # specify AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \"aws_endpoint_urls\": {","how a message should be processed when sent and received # See tomodachi/envelope/json_base.py","route1a) - \"{}\"'.format(data)) async def _started_service(self) -> None: async def publish(data: Any, topic:","service: Any, message: Any, topic: str, context: Dict, *args: Any, **kwargs: Any )","etc. options = { \"aws_sns_sqs\": { \"region_name\": None, # specify AWS region (example:","None, # specify AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \"aws_endpoint_urls\": { \"sns\": None,","async def _started_service(self) -> None: async def publish(data: Any, topic: str) -> None:","processed when sent and received # See tomodachi/envelope/json_base.py for a basic example using","and received # See tomodachi/envelope/json_base.py for a basic example using JSON and transferring","after\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \"example-aws-sns-sqs-service\" log_level = \"INFO\" uuid =","specified to define credentials, used ports, hostnames, access log, etc. options = {","function is called service.log(\"middleware after\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \"example-aws-sns-sqs-service\" log_level","\"\") # Build own \"discovery\" functions, to be run on start and stop","sent and received # See tomodachi/envelope/json_base.py for a basic example using JSON and","Several middlewares can be chained. message_middleware = [middleware_function] # Some options can be","None, # For example 'http://localhost:4575' if localstack is used for testing \"sqs\": None,","middlewares can be chained. message_middleware = [middleware_function] # Some options can be specified","# Several middlewares can be chained. message_middleware = [middleware_function] # Some options can","after function is called service.log(\"middleware after\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \"example-aws-sns-sqs-service\"","(example: '<KEY>') \"aws_secret_access_key\": None, # specify AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \"aws_endpoint_urls\":","# Functionality before function is called service.log(\"middleware before\") return_value = await func(*args, **kwargs)","message envelope class defines how a message should be processed when sent and","localstack is used for testing \"sqs\": None, # For example 'http://localhost:4576' if localstack","start and stop # See tomodachi/discovery/aws_sns_registration.py for example discovery = [AWSSNSRegistration] # The","example 'http://localhost:4575' if localstack is used for testing \"sqs\": None, # For example","os from typing import Any, Callable, Dict import tomodachi from tomodachi import aws_sns_sqs,","basic example using JSON and transferring some metadata message_envelope = JsonBase # Adds","import Any, Callable, Dict import tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery","return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \"example-aws-sns-sqs-service\" log_level = \"INFO\" uuid = str(os.environ.get(\"SERVICE_UUID\")","run on start and stop # See tomodachi/discovery/aws_sns_registration.py for example discovery = [AWSSNSRegistration]","some metadata message_envelope = JsonBase # Adds a middleware function that is run","called service.log(\"middleware after\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \"example-aws-sns-sqs-service\" log_level = \"INFO\"","# specify AWS access key (example: '<KEY>') \"aws_secret_access_key\": None, # specify AWS secret","}, \"aws_endpoint_urls\": { \"sns\": None, # For example 'http://localhost:4575' if localstack is used","that is run on every incoming message. # Several middlewares can be chained.","None, # specify AWS access key (example: '<KEY>') \"aws_secret_access_key\": None, # specify AWS","or keywords arguments, for example: # return_value = await func(*args, id='overridden', **kwargs) #","tomodachi/discovery/aws_sns_registration.py for example discovery = [AWSSNSRegistration] # The message envelope class defines how","options can be specified to define credentials, used ports, hostnames, access log, etc.","used ports, hostnames, access log, etc. options = { \"aws_sns_sqs\": { \"region_name\": None,","}, } @aws_sns_sqs(\"example-route1\") async def route1a(self, data: Any) -> None: self.log('Received data (function:","for example: # return_value = await func(*args, id='overridden', **kwargs) # Functinoality after function","be run on start and stop # See tomodachi/discovery/aws_sns_registration.py for example discovery =","import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import JsonBase async def","= await func(*args, **kwargs) # There's also the possibility to pass in extra","and stop # See tomodachi/discovery/aws_sns_registration.py for example discovery = [AWSSNSRegistration] # The message","None: self.log('Received data (function: route1a) - \"{}\"'.format(data)) async def _started_service(self) -> None: async","for testing \"sqs\": None, # For example 'http://localhost:4576' if localstack is used for","Callable, service: Any, message: Any, topic: str, context: Dict, *args: Any, **kwargs: Any","'http://localhost:4575' if localstack is used for testing \"sqs\": None, # For example 'http://localhost:4576'","return_value = await func(*args, **kwargs) # There's also the possibility to pass in","aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import JsonBase async def middleware_function( func:","aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import JsonBase async def middleware_function(","= [AWSSNSRegistration] # The message envelope class defines how a message should be","example 'http://localhost:4576' if localstack is used for testing }, } @aws_sns_sqs(\"example-route1\") async def","function that is run on every incoming message. # Several middlewares can be","# specify AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \"aws_endpoint_urls\": { \"sns\": None, #","functions, to be run on start and stop # See tomodachi/discovery/aws_sns_registration.py for example","Any, Callable, Dict import tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import","message_envelope = JsonBase # Adds a middleware function that is run on every","\"aws_sns_sqs\": { \"region_name\": None, # specify AWS region (example: 'eu-west-1') \"aws_access_key_id\": None, #","# See tomodachi/discovery/aws_sns_registration.py for example discovery = [AWSSNSRegistration] # The message envelope class","message should be processed when sent and received # See tomodachi/envelope/json_base.py for a","func(*args, **kwargs) # There's also the possibility to pass in extra arguments or","for testing }, } @aws_sns_sqs(\"example-route1\") async def route1a(self, data: Any) -> None: self.log('Received","pass in extra arguments or keywords arguments, for example: # return_value = await","be chained. message_middleware = [middleware_function] # Some options can be specified to define","from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import JsonBase async def middleware_function( func: Callable,","Callable, Dict import tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration","called service.log(\"middleware before\") return_value = await func(*args, **kwargs) # There's also the possibility","incoming message. # Several middlewares can be chained. message_middleware = [middleware_function] # Some","= await func(*args, id='overridden', **kwargs) # Functinoality after function is called service.log(\"middleware after\")","await func(*args, id='overridden', **kwargs) # Functinoality after function is called service.log(\"middleware after\") return","example using JSON and transferring some metadata message_envelope = JsonBase # Adds a","Dict import tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from","middleware function that is run on every incoming message. # Several middlewares can","keywords arguments, for example: # return_value = await func(*args, id='overridden', **kwargs) # Functinoality","credentials, used ports, hostnames, access log, etc. options = { \"aws_sns_sqs\": { \"region_name\":","ports, hostnames, access log, etc. options = { \"aws_sns_sqs\": { \"region_name\": None, #","# For example 'http://localhost:4575' if localstack is used for testing \"sqs\": None, #","or \"\") # Build own \"discovery\" functions, to be run on start and","tomodachi/envelope/json_base.py for a basic example using JSON and transferring some metadata message_envelope =","JsonBase async def middleware_function( func: Callable, service: Any, message: Any, topic: str, context:","# The message envelope class defines how a message should be processed when","should be processed when sent and received # See tomodachi/envelope/json_base.py for a basic","own \"discovery\" functions, to be run on start and stop # See tomodachi/discovery/aws_sns_registration.py","\"aws_secret_access_key\": None, # specify AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \"aws_endpoint_urls\": { \"sns\":","await func(*args, **kwargs) # There's also the possibility to pass in extra arguments","before\") return_value = await func(*args, **kwargs) # There's also the possibility to pass","\"{}\"'.format(data)) async def _started_service(self) -> None: async def publish(data: Any, topic: str) ->","str, context: Dict, *args: Any, **kwargs: Any ) -> Any: # Functionality before","\"example-aws-sns-sqs-service\" log_level = \"INFO\" uuid = str(os.environ.get(\"SERVICE_UUID\") or \"\") # Build own \"discovery\"","There's also the possibility to pass in extra arguments or keywords arguments, for","extra arguments or keywords arguments, for example: # return_value = await func(*args, id='overridden',","ExampleAWSSNSSQSService(tomodachi.Service): name = \"example-aws-sns-sqs-service\" log_level = \"INFO\" uuid = str(os.environ.get(\"SERVICE_UUID\") or \"\") #","data (function: route1a) - \"{}\"'.format(data)) async def _started_service(self) -> None: async def publish(data:"],"string":"[\n \"(example: 'eu-west-1') \\\"aws_access_key_id\\\": None, # specify AWS access key (example: '<KEY>') \\\"aws_secret_access_key\\\": None,\",\n \"service.log(\\\"middleware after\\\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \\\"example-aws-sns-sqs-service\\\" log_level = \\\"INFO\\\" uuid\",\n \"options = { \\\"aws_sns_sqs\\\": { \\\"region_name\\\": None, # specify AWS region (example: 'eu-west-1')\",\n \"async def middleware_function( func: Callable, service: Any, message: Any, topic: str, context: Dict,\",\n \"# Functinoality after function is called service.log(\\\"middleware after\\\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name\",\n \"id='overridden', **kwargs) # Functinoality after function is called service.log(\\\"middleware after\\\") return return_value class\",\n \"log_level = \\\"INFO\\\" uuid = str(os.environ.get(\\\"SERVICE_UUID\\\") or \\\"\\\") # Build own \\\"discovery\\\" functions,\",\n \"For example 'http://localhost:4575' if localstack is used for testing \\\"sqs\\\": None, # For\",\n \"import os from typing import Any, Callable, Dict import tomodachi from tomodachi import\",\n \"- \\\"{}\\\"'.format(data)) async def _started_service(self) -> None: async def publish(data: Any, topic: str)\",\n \"the possibility to pass in extra arguments or keywords arguments, for example: #\",\n \"[middleware_function] # Some options can be specified to define credentials, used ports, hostnames,\",\n \"data: Any) -> None: self.log('Received data (function: route1a) - \\\"{}\\\"'.format(data)) async def _started_service(self)\",\n \"is called service.log(\\\"middleware after\\\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \\\"example-aws-sns-sqs-service\\\" log_level =\",\n \"See tomodachi/discovery/aws_sns_registration.py for example discovery = [AWSSNSRegistration] # The message envelope class defines\",\n \"{ \\\"aws_sns_sqs\\\": { \\\"region_name\\\": None, # specify AWS region (example: 'eu-west-1') \\\"aws_access_key_id\\\": None,\",\n \"a middleware function that is run on every incoming message. # Several middlewares\",\n \"message: Any, topic: str, context: Dict, *args: Any, **kwargs: Any ) -> Any:\",\n \"= \\\"INFO\\\" uuid = str(os.environ.get(\\\"SERVICE_UUID\\\") or \\\"\\\") # Build own \\\"discovery\\\" functions, to\",\n \"import tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope\",\n \"AWS region (example: 'eu-west-1') \\\"aws_access_key_id\\\": None, # specify AWS access key (example: '<KEY>')\",\n \"in extra arguments or keywords arguments, for example: # return_value = await func(*args,\",\n \"# Adds a middleware function that is run on every incoming message. #\",\n \"key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \\\"aws_endpoint_urls\\\": { \\\"sns\\\": None, # For example 'http://localhost:4575' if\",\n \"= str(os.environ.get(\\\"SERVICE_UUID\\\") or \\\"\\\") # Build own \\\"discovery\\\" functions, to be run on\",\n \"before function is called service.log(\\\"middleware before\\\") return_value = await func(*args, **kwargs) # There's\",\n \"**kwargs) # There's also the possibility to pass in extra arguments or keywords\",\n \"The message envelope class defines how a message should be processed when sent\",\n \"using JSON and transferring some metadata message_envelope = JsonBase # Adds a middleware\",\n \"on every incoming message. # Several middlewares can be chained. message_middleware = [middleware_function]\",\n \"# For example 'http://localhost:4576' if localstack is used for testing }, } @aws_sns_sqs(\\\"example-route1\\\")\",\n \"be specified to define credentials, used ports, hostnames, access log, etc. options =\",\n \"hostnames, access log, etc. options = { \\\"aws_sns_sqs\\\": { \\\"region_name\\\": None, # specify\",\n \"class ExampleAWSSNSSQSService(tomodachi.Service): name = \\\"example-aws-sns-sqs-service\\\" log_level = \\\"INFO\\\" uuid = str(os.environ.get(\\\"SERVICE_UUID\\\") or \\\"\\\")\",\n \"See tomodachi/envelope/json_base.py for a basic example using JSON and transferring some metadata message_envelope\",\n \"tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import JsonBase async\",\n \"Any ) -> Any: # Functionality before function is called service.log(\\\"middleware before\\\") return_value\",\n \"tomodachi.envelope import JsonBase async def middleware_function( func: Callable, service: Any, message: Any, topic:\",\n \"async def publish(data: Any, topic: str) -> None: self.log('Publish data \\\"{}\\\"'.format(data)) await aws_sns_sqs_publish(self,\",\n \"a basic example using JSON and transferring some metadata message_envelope = JsonBase #\",\n \"used for testing }, } @aws_sns_sqs(\\\"example-route1\\\") async def route1a(self, data: Any) -> None:\",\n \"testing }, } @aws_sns_sqs(\\\"example-route1\\\") async def route1a(self, data: Any) -> None: self.log('Received data\",\n \"typing import Any, Callable, Dict import tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from\",\n \"be processed when sent and received # See tomodachi/envelope/json_base.py for a basic example\",\n \"None, # For example 'http://localhost:4576' if localstack is used for testing }, }\",\n \"message. # Several middlewares can be chained. message_middleware = [middleware_function] # Some options\",\n \"is used for testing }, } @aws_sns_sqs(\\\"example-route1\\\") async def route1a(self, data: Any) ->\",\n \"stop # See tomodachi/discovery/aws_sns_registration.py for example discovery = [AWSSNSRegistration] # The message envelope\",\n \"topic: str, context: Dict, *args: Any, **kwargs: Any ) -> Any: # Functionality\",\n \"Dict, *args: Any, **kwargs: Any ) -> Any: # Functionality before function is\",\n \"= { \\\"aws_sns_sqs\\\": { \\\"region_name\\\": None, # specify AWS region (example: 'eu-west-1') \\\"aws_access_key_id\\\":\",\n \"example discovery = [AWSSNSRegistration] # The message envelope class defines how a message\",\n \"def _started_service(self) -> None: async def publish(data: Any, topic: str) -> None: self.log('Publish\",\n \"-> Any: # Functionality before function is called service.log(\\\"middleware before\\\") return_value = await\",\n \"**kwargs) # Functinoality after function is called service.log(\\\"middleware after\\\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service):\",\n \"def middleware_function( func: Callable, service: Any, message: Any, topic: str, context: Dict, *args:\",\n \"\\\"region_name\\\": None, # specify AWS region (example: 'eu-west-1') \\\"aws_access_key_id\\\": None, # specify AWS\",\n \"middleware_function( func: Callable, service: Any, message: Any, topic: str, context: Dict, *args: Any,\",\n \"uuid = str(os.environ.get(\\\"SERVICE_UUID\\\") or \\\"\\\") # Build own \\\"discovery\\\" functions, to be run\",\n \"from tomodachi.envelope import JsonBase async def middleware_function( func: Callable, service: Any, message: Any,\",\n \"run on every incoming message. # Several middlewares can be chained. message_middleware =\",\n \"a message should be processed when sent and received # See tomodachi/envelope/json_base.py for\",\n \"envelope class defines how a message should be processed when sent and received\",\n \"can be chained. message_middleware = [middleware_function] # Some options can be specified to\",\n \"Functinoality after function is called service.log(\\\"middleware after\\\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name =\",\n \"Build own \\\"discovery\\\" functions, to be run on start and stop # See\",\n \"is run on every incoming message. # Several middlewares can be chained. message_middleware\",\n \"specify AWS region (example: 'eu-west-1') \\\"aws_access_key_id\\\": None, # specify AWS access key (example:\",\n \"_started_service(self) -> None: async def publish(data: Any, topic: str) -> None: self.log('Publish data\",\n \"arguments, for example: # return_value = await func(*args, id='overridden', **kwargs) # Functinoality after\",\n \"route1a(self, data: Any) -> None: self.log('Received data (function: route1a) - \\\"{}\\\"'.format(data)) async def\",\n \"on start and stop # See tomodachi/discovery/aws_sns_registration.py for example discovery = [AWSSNSRegistration] #\",\n \"possibility to pass in extra arguments or keywords arguments, for example: # return_value\",\n \"None, # specify AWS region (example: 'eu-west-1') \\\"aws_access_key_id\\\": None, # specify AWS access\",\n \"= \\\"example-aws-sns-sqs-service\\\" log_level = \\\"INFO\\\" uuid = str(os.environ.get(\\\"SERVICE_UUID\\\") or \\\"\\\") # Build own\",\n \"AWSSNSRegistration from tomodachi.envelope import JsonBase async def middleware_function( func: Callable, service: Any, message:\",\n \"Any, topic: str, context: Dict, *args: Any, **kwargs: Any ) -> Any: #\",\n \"# specify AWS region (example: 'eu-west-1') \\\"aws_access_key_id\\\": None, # specify AWS access key\",\n \"defines how a message should be processed when sent and received # See\",\n \"access key (example: '<KEY>') \\\"aws_secret_access_key\\\": None, # specify AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA')\",\n \"} @aws_sns_sqs(\\\"example-route1\\\") async def route1a(self, data: Any) -> None: self.log('Received data (function: route1a)\",\n \"(function: route1a) - \\\"{}\\\"'.format(data)) async def _started_service(self) -> None: async def publish(data: Any,\",\n \"example: # return_value = await func(*args, id='overridden', **kwargs) # Functinoality after function is\",\n \"key (example: '<KEY>') \\\"aws_secret_access_key\\\": None, # specify AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') },\",\n \") -> Any: # Functionality before function is called service.log(\\\"middleware before\\\") return_value =\",\n \"# Some options can be specified to define credentials, used ports, hostnames, access\",\n \"# return_value = await func(*args, id='overridden', **kwargs) # Functinoality after function is called\",\n \"received # See tomodachi/envelope/json_base.py for a basic example using JSON and transferring some\",\n \"from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import JsonBase\",\n \"def publish(data: Any, topic: str) -> None: self.log('Publish data \\\"{}\\\"'.format(data)) await aws_sns_sqs_publish(self, data,\",\n \"**kwargs: Any ) -> Any: # Functionality before function is called service.log(\\\"middleware before\\\")\",\n \"and transferring some metadata message_envelope = JsonBase # Adds a middleware function that\",\n \"-> None: self.log('Publish data \\\"{}\\\"'.format(data)) await aws_sns_sqs_publish(self, data, topic=topic, wait=False) await publish(\\\"友達\\\", \\\"example-route1\\\")\",\n \"AWS access key (example: '<KEY>') \\\"aws_secret_access_key\\\": None, # specify AWS secret key (example:\",\n \"if localstack is used for testing \\\"sqs\\\": None, # For example 'http://localhost:4576' if\",\n \"every incoming message. # Several middlewares can be chained. message_middleware = [middleware_function] #\",\n \"'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \\\"aws_endpoint_urls\\\": { \\\"sns\\\": None, # For example 'http://localhost:4575' if localstack is\",\n \"{ \\\"region_name\\\": None, # specify AWS region (example: 'eu-west-1') \\\"aws_access_key_id\\\": None, # specify\",\n \"# See tomodachi/envelope/json_base.py for a basic example using JSON and transferring some metadata\",\n \"[AWSSNSRegistration] # The message envelope class defines how a message should be processed\",\n \"is used for testing \\\"sqs\\\": None, # For example 'http://localhost:4576' if localstack is\",\n \"chained. message_middleware = [middleware_function] # Some options can be specified to define credentials,\",\n \"transferring some metadata message_envelope = JsonBase # Adds a middleware function that is\",\n \"\\\"INFO\\\" uuid = str(os.environ.get(\\\"SERVICE_UUID\\\") or \\\"\\\") # Build own \\\"discovery\\\" functions, to be\",\n \"JsonBase # Adds a middleware function that is run on every incoming message.\",\n \"to be run on start and stop # See tomodachi/discovery/aws_sns_registration.py for example discovery\",\n \"metadata message_envelope = JsonBase # Adds a middleware function that is run on\",\n \"can be specified to define credentials, used ports, hostnames, access log, etc. options\",\n \"(example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \\\"aws_endpoint_urls\\\": { \\\"sns\\\": None, # For example 'http://localhost:4575' if localstack\",\n \"used for testing \\\"sqs\\\": None, # For example 'http://localhost:4576' if localstack is used\",\n \"define credentials, used ports, hostnames, access log, etc. options = { \\\"aws_sns_sqs\\\": {\",\n \"None: async def publish(data: Any, topic: str) -> None: self.log('Publish data \\\"{}\\\"'.format(data)) await\",\n \"also the possibility to pass in extra arguments or keywords arguments, for example:\",\n \"For example 'http://localhost:4576' if localstack is used for testing }, } @aws_sns_sqs(\\\"example-route1\\\") async\",\n \"to define credentials, used ports, hostnames, access log, etc. options = { \\\"aws_sns_sqs\\\":\",\n \"topic: str) -> None: self.log('Publish data \\\"{}\\\"'.format(data)) await aws_sns_sqs_publish(self, data, topic=topic, wait=False) await\",\n \"'eu-west-1') \\\"aws_access_key_id\\\": None, # specify AWS access key (example: '<KEY>') \\\"aws_secret_access_key\\\": None, #\",\n \"function is called service.log(\\\"middleware before\\\") return_value = await func(*args, **kwargs) # There's also\",\n \"access log, etc. options = { \\\"aws_sns_sqs\\\": { \\\"region_name\\\": None, # specify AWS\",\n \"# Build own \\\"discovery\\\" functions, to be run on start and stop #\",\n \"for a basic example using JSON and transferring some metadata message_envelope = JsonBase\",\n \"str) -> None: self.log('Publish data \\\"{}\\\"'.format(data)) await aws_sns_sqs_publish(self, data, topic=topic, wait=False) await publish(\\\"友達\\\",\",\n \"= [middleware_function] # Some options can be specified to define credentials, used ports,\",\n \"func: Callable, service: Any, message: Any, topic: str, context: Dict, *args: Any, **kwargs:\",\n \"is called service.log(\\\"middleware before\\\") return_value = await func(*args, **kwargs) # There's also the\",\n \"\\\"aws_endpoint_urls\\\": { \\\"sns\\\": None, # For example 'http://localhost:4575' if localstack is used for\",\n \"log, etc. options = { \\\"aws_sns_sqs\\\": { \\\"region_name\\\": None, # specify AWS region\",\n \"to pass in extra arguments or keywords arguments, for example: # return_value =\",\n \"name = \\\"example-aws-sns-sqs-service\\\" log_level = \\\"INFO\\\" uuid = str(os.environ.get(\\\"SERVICE_UUID\\\") or \\\"\\\") # Build\",\n \"func(*args, id='overridden', **kwargs) # Functinoality after function is called service.log(\\\"middleware after\\\") return return_value\",\n \"for example discovery = [AWSSNSRegistration] # The message envelope class defines how a\",\n \"localstack is used for testing }, } @aws_sns_sqs(\\\"example-route1\\\") async def route1a(self, data: Any)\",\n \"region (example: 'eu-west-1') \\\"aws_access_key_id\\\": None, # specify AWS access key (example: '<KEY>') \\\"aws_secret_access_key\\\":\",\n \"Any, message: Any, topic: str, context: Dict, *args: Any, **kwargs: Any ) ->\",\n \"Any: # Functionality before function is called service.log(\\\"middleware before\\\") return_value = await func(*args,\",\n \"secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \\\"aws_endpoint_urls\\\": { \\\"sns\\\": None, # For example 'http://localhost:4575'\",\n \"Any) -> None: self.log('Received data (function: route1a) - \\\"{}\\\"'.format(data)) async def _started_service(self) ->\",\n \"import JsonBase async def middleware_function( func: Callable, service: Any, message: Any, topic: str,\",\n \"import AWSSNSRegistration from tomodachi.envelope import JsonBase async def middleware_function( func: Callable, service: Any,\",\n \"service.log(\\\"middleware before\\\") return_value = await func(*args, **kwargs) # There's also the possibility to\",\n \"discovery = [AWSSNSRegistration] # The message envelope class defines how a message should\",\n \"specify AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \\\"aws_endpoint_urls\\\": { \\\"sns\\\": None, # For\",\n \"message_middleware = [middleware_function] # Some options can be specified to define credentials, used\",\n \"if localstack is used for testing }, } @aws_sns_sqs(\\\"example-route1\\\") async def route1a(self, data:\",\n \"JSON and transferring some metadata message_envelope = JsonBase # Adds a middleware function\",\n \"str(os.environ.get(\\\"SERVICE_UUID\\\") or \\\"\\\") # Build own \\\"discovery\\\" functions, to be run on start\",\n \"tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import JsonBase async def middleware_function( func: Callable, service:\",\n \"return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \\\"example-aws-sns-sqs-service\\\" log_level = \\\"INFO\\\" uuid = str(os.environ.get(\\\"SERVICE_UUID\\\") or\",\n \"Functionality before function is called service.log(\\\"middleware before\\\") return_value = await func(*args, **kwargs) #\",\n \"Some options can be specified to define credentials, used ports, hostnames, access log,\",\n \"-> None: self.log('Received data (function: route1a) - \\\"{}\\\"'.format(data)) async def _started_service(self) -> None:\",\n \"\\\"discovery\\\" functions, to be run on start and stop # See tomodachi/discovery/aws_sns_registration.py for\",\n \"self.log('Received data (function: route1a) - \\\"{}\\\"'.format(data)) async def _started_service(self) -> None: async def\",\n \"# There's also the possibility to pass in extra arguments or keywords arguments,\",\n \"= JsonBase # Adds a middleware function that is run on every incoming\",\n \"-> None: async def publish(data: Any, topic: str) -> None: self.log('Publish data \\\"{}\\\"'.format(data))\",\n \"@aws_sns_sqs(\\\"example-route1\\\") async def route1a(self, data: Any) -> None: self.log('Received data (function: route1a) -\",\n \"Any, **kwargs: Any ) -> Any: # Functionality before function is called service.log(\\\"middleware\",\n \"specify AWS access key (example: '<KEY>') \\\"aws_secret_access_key\\\": None, # specify AWS secret key\",\n \"def route1a(self, data: Any) -> None: self.log('Received data (function: route1a) - \\\"{}\\\"'.format(data)) async\",\n \"'http://localhost:4576' if localstack is used for testing }, } @aws_sns_sqs(\\\"example-route1\\\") async def route1a(self,\",\n \"from typing import Any, Callable, Dict import tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish\",\n \"when sent and received # See tomodachi/envelope/json_base.py for a basic example using JSON\",\n \"Adds a middleware function that is run on every incoming message. # Several\",\n \"\\\"aws_access_key_id\\\": None, # specify AWS access key (example: '<KEY>') \\\"aws_secret_access_key\\\": None, # specify\",\n \"{ \\\"sns\\\": None, # For example 'http://localhost:4575' if localstack is used for testing\",\n \"\\\"sns\\\": None, # For example 'http://localhost:4575' if localstack is used for testing \\\"sqs\\\":\",\n \"AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \\\"aws_endpoint_urls\\\": { \\\"sns\\\": None, # For example\",\n \"arguments or keywords arguments, for example: # return_value = await func(*args, id='overridden', **kwargs)\",\n \"context: Dict, *args: Any, **kwargs: Any ) -> Any: # Functionality before function\",\n \"async def route1a(self, data: Any) -> None: self.log('Received data (function: route1a) - \\\"{}\\\"'.format(data))\",\n \"publish(data: Any, topic: str) -> None: self.log('Publish data \\\"{}\\\"'.format(data)) await aws_sns_sqs_publish(self, data, topic=topic,\",\n \"testing \\\"sqs\\\": None, # For example 'http://localhost:4576' if localstack is used for testing\",\n \"tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import\",\n \"*args: Any, **kwargs: Any ) -> Any: # Functionality before function is called\",\n \"return_value = await func(*args, id='overridden', **kwargs) # Functinoality after function is called service.log(\\\"middleware\",\n \"\\\"sqs\\\": None, # For example 'http://localhost:4576' if localstack is used for testing },\",\n \"class defines how a message should be processed when sent and received #\",\n \"Any, topic: str) -> None: self.log('Publish data \\\"{}\\\"'.format(data)) await aws_sns_sqs_publish(self, data, topic=topic, wait=False)\",\n \"'<KEY>') \\\"aws_secret_access_key\\\": None, # specify AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \\\"aws_endpoint_urls\\\": {\",\n \"how a message should be processed when sent and received # See tomodachi/envelope/json_base.py\",\n \"route1a) - \\\"{}\\\"'.format(data)) async def _started_service(self) -> None: async def publish(data: Any, topic:\",\n \"service: Any, message: Any, topic: str, context: Dict, *args: Any, **kwargs: Any )\",\n \"etc. options = { \\\"aws_sns_sqs\\\": { \\\"region_name\\\": None, # specify AWS region (example:\",\n \"None, # specify AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \\\"aws_endpoint_urls\\\": { \\\"sns\\\": None,\",\n \"async def _started_service(self) -> None: async def publish(data: Any, topic: str) -> None:\",\n \"processed when sent and received # See tomodachi/envelope/json_base.py for a basic example using\",\n \"and received # See tomodachi/envelope/json_base.py for a basic example using JSON and transferring\",\n \"after\\\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \\\"example-aws-sns-sqs-service\\\" log_level = \\\"INFO\\\" uuid =\",\n \"specified to define credentials, used ports, hostnames, access log, etc. options = {\",\n \"function is called service.log(\\\"middleware after\\\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \\\"example-aws-sns-sqs-service\\\" log_level\",\n \"\\\"\\\") # Build own \\\"discovery\\\" functions, to be run on start and stop\",\n \"sent and received # See tomodachi/envelope/json_base.py for a basic example using JSON and\",\n \"Several middlewares can be chained. message_middleware = [middleware_function] # Some options can be\",\n \"None, # For example 'http://localhost:4575' if localstack is used for testing \\\"sqs\\\": None,\",\n \"middlewares can be chained. message_middleware = [middleware_function] # Some options can be specified\",\n \"# Several middlewares can be chained. message_middleware = [middleware_function] # Some options can\",\n \"after function is called service.log(\\\"middleware after\\\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \\\"example-aws-sns-sqs-service\\\"\",\n \"(example: '<KEY>') \\\"aws_secret_access_key\\\": None, # specify AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \\\"aws_endpoint_urls\\\":\",\n \"# Functionality before function is called service.log(\\\"middleware before\\\") return_value = await func(*args, **kwargs)\",\n \"message envelope class defines how a message should be processed when sent and\",\n \"localstack is used for testing \\\"sqs\\\": None, # For example 'http://localhost:4576' if localstack\",\n \"start and stop # See tomodachi/discovery/aws_sns_registration.py for example discovery = [AWSSNSRegistration] # The\",\n \"example 'http://localhost:4575' if localstack is used for testing \\\"sqs\\\": None, # For example\",\n \"os from typing import Any, Callable, Dict import tomodachi from tomodachi import aws_sns_sqs,\",\n \"basic example using JSON and transferring some metadata message_envelope = JsonBase # Adds\",\n \"import Any, Callable, Dict import tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery\",\n \"return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \\\"example-aws-sns-sqs-service\\\" log_level = \\\"INFO\\\" uuid = str(os.environ.get(\\\"SERVICE_UUID\\\")\",\n \"run on start and stop # See tomodachi/discovery/aws_sns_registration.py for example discovery = [AWSSNSRegistration]\",\n \"some metadata message_envelope = JsonBase # Adds a middleware function that is run\",\n \"called service.log(\\\"middleware after\\\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \\\"example-aws-sns-sqs-service\\\" log_level = \\\"INFO\\\"\",\n \"# specify AWS access key (example: '<KEY>') \\\"aws_secret_access_key\\\": None, # specify AWS secret\",\n \"}, \\\"aws_endpoint_urls\\\": { \\\"sns\\\": None, # For example 'http://localhost:4575' if localstack is used\",\n \"that is run on every incoming message. # Several middlewares can be chained.\",\n \"None, # specify AWS access key (example: '<KEY>') \\\"aws_secret_access_key\\\": None, # specify AWS\",\n \"or keywords arguments, for example: # return_value = await func(*args, id='overridden', **kwargs) #\",\n \"tomodachi/discovery/aws_sns_registration.py for example discovery = [AWSSNSRegistration] # The message envelope class defines how\",\n \"options can be specified to define credentials, used ports, hostnames, access log, etc.\",\n \"used ports, hostnames, access log, etc. options = { \\\"aws_sns_sqs\\\": { \\\"region_name\\\": None,\",\n \"}, } @aws_sns_sqs(\\\"example-route1\\\") async def route1a(self, data: Any) -> None: self.log('Received data (function:\",\n \"for example: # return_value = await func(*args, id='overridden', **kwargs) # Functinoality after function\",\n \"be run on start and stop # See tomodachi/discovery/aws_sns_registration.py for example discovery =\",\n \"import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import JsonBase async def\",\n \"= await func(*args, **kwargs) # There's also the possibility to pass in extra\",\n \"and stop # See tomodachi/discovery/aws_sns_registration.py for example discovery = [AWSSNSRegistration] # The message\",\n \"None: self.log('Received data (function: route1a) - \\\"{}\\\"'.format(data)) async def _started_service(self) -> None: async\",\n \"for testing \\\"sqs\\\": None, # For example 'http://localhost:4576' if localstack is used for\",\n \"Callable, service: Any, message: Any, topic: str, context: Dict, *args: Any, **kwargs: Any\",\n \"'http://localhost:4575' if localstack is used for testing \\\"sqs\\\": None, # For example 'http://localhost:4576'\",\n \"return_value = await func(*args, **kwargs) # There's also the possibility to pass in\",\n \"aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import JsonBase async def middleware_function( func:\",\n \"aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import JsonBase async def middleware_function(\",\n \"= [AWSSNSRegistration] # The message envelope class defines how a message should be\",\n \"example 'http://localhost:4576' if localstack is used for testing }, } @aws_sns_sqs(\\\"example-route1\\\") async def\",\n \"function that is run on every incoming message. # Several middlewares can be\",\n \"# specify AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \\\"aws_endpoint_urls\\\": { \\\"sns\\\": None, #\",\n \"functions, to be run on start and stop # See tomodachi/discovery/aws_sns_registration.py for example\",\n \"Any, Callable, Dict import tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import\",\n \"message_envelope = JsonBase # Adds a middleware function that is run on every\",\n \"\\\"aws_sns_sqs\\\": { \\\"region_name\\\": None, # specify AWS region (example: 'eu-west-1') \\\"aws_access_key_id\\\": None, #\",\n \"# See tomodachi/discovery/aws_sns_registration.py for example discovery = [AWSSNSRegistration] # The message envelope class\",\n \"message should be processed when sent and received # See tomodachi/envelope/json_base.py for a\",\n \"func(*args, **kwargs) # There's also the possibility to pass in extra arguments or\",\n \"for testing }, } @aws_sns_sqs(\\\"example-route1\\\") async def route1a(self, data: Any) -> None: self.log('Received\",\n \"pass in extra arguments or keywords arguments, for example: # return_value = await\",\n \"be chained. message_middleware = [middleware_function] # Some options can be specified to define\",\n \"from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import JsonBase async def middleware_function( func: Callable,\",\n \"Callable, Dict import tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration\",\n \"called service.log(\\\"middleware before\\\") return_value = await func(*args, **kwargs) # There's also the possibility\",\n \"incoming message. # Several middlewares can be chained. message_middleware = [middleware_function] # Some\",\n \"= await func(*args, id='overridden', **kwargs) # Functinoality after function is called service.log(\\\"middleware after\\\")\",\n \"await func(*args, id='overridden', **kwargs) # Functinoality after function is called service.log(\\\"middleware after\\\") return\",\n \"example using JSON and transferring some metadata message_envelope = JsonBase # Adds a\",\n \"Dict import tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from\",\n \"middleware function that is run on every incoming message. # Several middlewares can\",\n \"keywords arguments, for example: # return_value = await func(*args, id='overridden', **kwargs) # Functinoality\",\n \"credentials, used ports, hostnames, access log, etc. options = { \\\"aws_sns_sqs\\\": { \\\"region_name\\\":\",\n \"ports, hostnames, access log, etc. options = { \\\"aws_sns_sqs\\\": { \\\"region_name\\\": None, #\",\n \"# For example 'http://localhost:4575' if localstack is used for testing \\\"sqs\\\": None, #\",\n \"or \\\"\\\") # Build own \\\"discovery\\\" functions, to be run on start and\",\n \"tomodachi/envelope/json_base.py for a basic example using JSON and transferring some metadata message_envelope =\",\n \"JsonBase async def middleware_function( func: Callable, service: Any, message: Any, topic: str, context:\",\n \"# The message envelope class defines how a message should be processed when\",\n \"should be processed when sent and received # See tomodachi/envelope/json_base.py for a basic\",\n \"own \\\"discovery\\\" functions, to be run on start and stop # See tomodachi/discovery/aws_sns_registration.py\",\n \"\\\"aws_secret_access_key\\\": None, # specify AWS secret key (example: 'f7sha92hNotarealsecretkeyn29ShnSYQi3nzgA') }, \\\"aws_endpoint_urls\\\": { \\\"sns\\\":\",\n \"await func(*args, **kwargs) # There's also the possibility to pass in extra arguments\",\n \"before\\\") return_value = await func(*args, **kwargs) # There's also the possibility to pass\",\n \"\\\"{}\\\"'.format(data)) async def _started_service(self) -> None: async def publish(data: Any, topic: str) ->\",\n \"str, context: Dict, *args: Any, **kwargs: Any ) -> Any: # Functionality before\",\n \"\\\"example-aws-sns-sqs-service\\\" log_level = \\\"INFO\\\" uuid = str(os.environ.get(\\\"SERVICE_UUID\\\") or \\\"\\\") # Build own \\\"discovery\\\"\",\n \"There's also the possibility to pass in extra arguments or keywords arguments, for\",\n \"extra arguments or keywords arguments, for example: # return_value = await func(*args, id='overridden',\",\n \"ExampleAWSSNSSQSService(tomodachi.Service): name = \\\"example-aws-sns-sqs-service\\\" log_level = \\\"INFO\\\" uuid = str(os.environ.get(\\\"SERVICE_UUID\\\") or \\\"\\\") #\",\n \"data (function: route1a) - \\\"{}\\\"'.format(data)) async def _started_service(self) -> None: async def publish(data:\"\n]","isConversational":false}}},{"rowIdx":1990,"cells":{"ngram":{"kind":"list like","value":["{do_not}.\" print(x) print(y) print(f\"I said: {x}\") print(f\"I also said: '{y}'\") hilarious = False","{types_of_people} types of people.\" binary = \"binary\" do_not = \"don't\" y = f\"Those","binary = \"binary\" do_not = \"don't\" y = f\"Those who know {binary} and","False joke_evaluation = \"Isn't that joke so funny?! {}\" print(joke_evaluation.format(hilarious)) w=\"This is the","f\"There are {types_of_people} types of people.\" binary = \"binary\" do_not = \"don't\" y","who know {binary} and those who {do_not}.\" print(x) print(y) print(f\"I said: {x}\") print(f\"I","said: '{y}'\") hilarious = False joke_evaluation = \"Isn't that joke so funny?! {}\"","the left side of...\" e=\"a string with a right side.\" print(w + e)","print(y) print(f\"I said: {x}\") print(f\"I also said: '{y}'\") hilarious = False joke_evaluation =","is the left side of...\" e=\"a string with a right side.\" print(w +","joke_evaluation = \"Isn't that joke so funny?! {}\" print(joke_evaluation.format(hilarious)) w=\"This is the left","that joke so funny?! {}\" print(joke_evaluation.format(hilarious)) w=\"This is the left side of...\" e=\"a","are {types_of_people} types of people.\" binary = \"binary\" do_not = \"don't\" y =","= 10 x = f\"There are {types_of_people} types of people.\" binary = \"binary\"","\"binary\" do_not = \"don't\" y = f\"Those who know {binary} and those who","print(f\"I also said: '{y}'\") hilarious = False joke_evaluation = \"Isn't that joke so","10 x = f\"There are {types_of_people} types of people.\" binary = \"binary\" do_not","\"don't\" y = f\"Those who know {binary} and those who {do_not}.\" print(x) print(y)","print(f\"I said: {x}\") print(f\"I also said: '{y}'\") hilarious = False joke_evaluation = \"Isn't","= \"Isn't that joke so funny?! {}\" print(joke_evaluation.format(hilarious)) w=\"This is the left side","hilarious = False joke_evaluation = \"Isn't that joke so funny?! {}\" print(joke_evaluation.format(hilarious)) w=\"This","f\"Those who know {binary} and those who {do_not}.\" print(x) print(y) print(f\"I said: {x}\")","= \"binary\" do_not = \"don't\" y = f\"Those who know {binary} and those","'{y}'\") hilarious = False joke_evaluation = \"Isn't that joke so funny?! {}\" print(joke_evaluation.format(hilarious))","those who {do_not}.\" print(x) print(y) print(f\"I said: {x}\") print(f\"I also said: '{y}'\") hilarious","funny?! {}\" print(joke_evaluation.format(hilarious)) w=\"This is the left side of...\" e=\"a string with a","x = f\"There are {types_of_people} types of people.\" binary = \"binary\" do_not =","do_not = \"don't\" y = f\"Those who know {binary} and those who {do_not}.\"","\"Isn't that joke so funny?! {}\" print(joke_evaluation.format(hilarious)) w=\"This is the left side of...\"","types_of_people = 10 x = f\"There are {types_of_people} types of people.\" binary =","who {do_not}.\" print(x) print(y) print(f\"I said: {x}\") print(f\"I also said: '{y}'\") hilarious =","{}\" print(joke_evaluation.format(hilarious)) w=\"This is the left side of...\" e=\"a string with a right","= f\"Those who know {binary} and those who {do_not}.\" print(x) print(y) print(f\"I said:","know {binary} and those who {do_not}.\" print(x) print(y) print(f\"I said: {x}\") print(f\"I also","{binary} and those who {do_not}.\" print(x) print(y) print(f\"I said: {x}\") print(f\"I also said:","so funny?! {}\" print(joke_evaluation.format(hilarious)) w=\"This is the left side of...\" e=\"a string with","= \"don't\" y = f\"Those who know {binary} and those who {do_not}.\" print(x)","= False joke_evaluation = \"Isn't that joke so funny?! {}\" print(joke_evaluation.format(hilarious)) w=\"This is","joke so funny?! {}\" print(joke_evaluation.format(hilarious)) w=\"This is the left side of...\" e=\"a string","of people.\" binary = \"binary\" do_not = \"don't\" y = f\"Those who know","and those who {do_not}.\" print(x) print(y) print(f\"I said: {x}\") print(f\"I also said: '{y}'\")","<reponame>ThitsarAung/python-exercises types_of_people = 10 x = f\"There are {types_of_people} types of people.\" binary","said: {x}\") print(f\"I also said: '{y}'\") hilarious = False joke_evaluation = \"Isn't that","people.\" binary = \"binary\" do_not = \"don't\" y = f\"Those who know {binary}","print(joke_evaluation.format(hilarious)) w=\"This is the left side of...\" e=\"a string with a right side.\"","types of people.\" binary = \"binary\" do_not = \"don't\" y = f\"Those who","y = f\"Those who know {binary} and those who {do_not}.\" print(x) print(y) print(f\"I","print(x) print(y) print(f\"I said: {x}\") print(f\"I also said: '{y}'\") hilarious = False joke_evaluation","{x}\") print(f\"I also said: '{y}'\") hilarious = False joke_evaluation = \"Isn't that joke","also said: '{y}'\") hilarious = False joke_evaluation = \"Isn't that joke so funny?!","w=\"This is the left side of...\" e=\"a string with a right side.\" print(w","= f\"There are {types_of_people} types of people.\" binary = \"binary\" do_not = \"don't\""],"string":"[\n \"{do_not}.\\\" print(x) print(y) print(f\\\"I said: {x}\\\") print(f\\\"I also said: '{y}'\\\") hilarious = False\",\n \"{types_of_people} types of people.\\\" binary = \\\"binary\\\" do_not = \\\"don't\\\" y = f\\\"Those\",\n \"binary = \\\"binary\\\" do_not = \\\"don't\\\" y = f\\\"Those who know {binary} and\",\n \"False joke_evaluation = \\\"Isn't that joke so funny?! {}\\\" print(joke_evaluation.format(hilarious)) w=\\\"This is the\",\n \"f\\\"There are {types_of_people} types of people.\\\" binary = \\\"binary\\\" do_not = \\\"don't\\\" y\",\n \"who know {binary} and those who {do_not}.\\\" print(x) print(y) print(f\\\"I said: {x}\\\") print(f\\\"I\",\n \"said: '{y}'\\\") hilarious = False joke_evaluation = \\\"Isn't that joke so funny?! {}\\\"\",\n \"the left side of...\\\" e=\\\"a string with a right side.\\\" print(w + e)\",\n \"print(y) print(f\\\"I said: {x}\\\") print(f\\\"I also said: '{y}'\\\") hilarious = False joke_evaluation =\",\n \"is the left side of...\\\" e=\\\"a string with a right side.\\\" print(w +\",\n \"joke_evaluation = \\\"Isn't that joke so funny?! {}\\\" print(joke_evaluation.format(hilarious)) w=\\\"This is the left\",\n \"that joke so funny?! {}\\\" print(joke_evaluation.format(hilarious)) w=\\\"This is the left side of...\\\" e=\\\"a\",\n \"are {types_of_people} types of people.\\\" binary = \\\"binary\\\" do_not = \\\"don't\\\" y =\",\n \"= 10 x = f\\\"There are {types_of_people} types of people.\\\" binary = \\\"binary\\\"\",\n \"\\\"binary\\\" do_not = \\\"don't\\\" y = f\\\"Those who know {binary} and those who\",\n \"print(f\\\"I also said: '{y}'\\\") hilarious = False joke_evaluation = \\\"Isn't that joke so\",\n \"10 x = f\\\"There are {types_of_people} types of people.\\\" binary = \\\"binary\\\" do_not\",\n \"\\\"don't\\\" y = f\\\"Those who know {binary} and those who {do_not}.\\\" print(x) print(y)\",\n \"print(f\\\"I said: {x}\\\") print(f\\\"I also said: '{y}'\\\") hilarious = False joke_evaluation = \\\"Isn't\",\n \"= \\\"Isn't that joke so funny?! {}\\\" print(joke_evaluation.format(hilarious)) w=\\\"This is the left side\",\n \"hilarious = False joke_evaluation = \\\"Isn't that joke so funny?! {}\\\" print(joke_evaluation.format(hilarious)) w=\\\"This\",\n \"f\\\"Those who know {binary} and those who {do_not}.\\\" print(x) print(y) print(f\\\"I said: {x}\\\")\",\n \"= \\\"binary\\\" do_not = \\\"don't\\\" y = f\\\"Those who know {binary} and those\",\n \"'{y}'\\\") hilarious = False joke_evaluation = \\\"Isn't that joke so funny?! {}\\\" print(joke_evaluation.format(hilarious))\",\n \"those who {do_not}.\\\" print(x) print(y) print(f\\\"I said: {x}\\\") print(f\\\"I also said: '{y}'\\\") hilarious\",\n \"funny?! {}\\\" print(joke_evaluation.format(hilarious)) w=\\\"This is the left side of...\\\" e=\\\"a string with a\",\n \"x = f\\\"There are {types_of_people} types of people.\\\" binary = \\\"binary\\\" do_not =\",\n \"do_not = \\\"don't\\\" y = f\\\"Those who know {binary} and those who {do_not}.\\\"\",\n \"\\\"Isn't that joke so funny?! {}\\\" print(joke_evaluation.format(hilarious)) w=\\\"This is the left side of...\\\"\",\n \"types_of_people = 10 x = f\\\"There are {types_of_people} types of people.\\\" binary =\",\n \"who {do_not}.\\\" print(x) print(y) print(f\\\"I said: {x}\\\") print(f\\\"I also said: '{y}'\\\") hilarious =\",\n \"{}\\\" print(joke_evaluation.format(hilarious)) w=\\\"This is the left side of...\\\" e=\\\"a string with a right\",\n \"= f\\\"Those who know {binary} and those who {do_not}.\\\" print(x) print(y) print(f\\\"I said:\",\n \"know {binary} and those who {do_not}.\\\" print(x) print(y) print(f\\\"I said: {x}\\\") print(f\\\"I also\",\n \"{binary} and those who {do_not}.\\\" print(x) print(y) print(f\\\"I said: {x}\\\") print(f\\\"I also said:\",\n \"so funny?! {}\\\" print(joke_evaluation.format(hilarious)) w=\\\"This is the left side of...\\\" e=\\\"a string with\",\n \"= \\\"don't\\\" y = f\\\"Those who know {binary} and those who {do_not}.\\\" print(x)\",\n \"= False joke_evaluation = \\\"Isn't that joke so funny?! {}\\\" print(joke_evaluation.format(hilarious)) w=\\\"This is\",\n \"joke so funny?! {}\\\" print(joke_evaluation.format(hilarious)) w=\\\"This is the left side of...\\\" e=\\\"a string\",\n \"of people.\\\" binary = \\\"binary\\\" do_not = \\\"don't\\\" y = f\\\"Those who know\",\n \"and those who {do_not}.\\\" print(x) print(y) print(f\\\"I said: {x}\\\") print(f\\\"I also said: '{y}'\\\")\",\n \"<reponame>ThitsarAung/python-exercises types_of_people = 10 x = f\\\"There are {types_of_people} types of people.\\\" binary\",\n \"said: {x}\\\") print(f\\\"I also said: '{y}'\\\") hilarious = False joke_evaluation = \\\"Isn't that\",\n \"people.\\\" binary = \\\"binary\\\" do_not = \\\"don't\\\" y = f\\\"Those who know {binary}\",\n \"print(joke_evaluation.format(hilarious)) w=\\\"This is the left side of...\\\" e=\\\"a string with a right side.\\\"\",\n \"types of people.\\\" binary = \\\"binary\\\" do_not = \\\"don't\\\" y = f\\\"Those who\",\n \"y = f\\\"Those who know {binary} and those who {do_not}.\\\" print(x) print(y) print(f\\\"I\",\n \"print(x) print(y) print(f\\\"I said: {x}\\\") print(f\\\"I also said: '{y}'\\\") hilarious = False joke_evaluation\",\n \"{x}\\\") print(f\\\"I also said: '{y}'\\\") hilarious = False joke_evaluation = \\\"Isn't that joke\",\n \"also said: '{y}'\\\") hilarious = False joke_evaluation = \\\"Isn't that joke so funny?!\",\n \"w=\\\"This is the left side of...\\\" e=\\\"a string with a right side.\\\" print(w\",\n \"= f\\\"There are {types_of_people} types of people.\\\" binary = \\\"binary\\\" do_not = \\\"don't\\\"\"\n]","isConversational":false}}},{"rowIdx":1991,"cells":{"ngram":{"kind":"list like","value":["as f: f.write(self.emit()) with open(data_output_path, 'wb') as f: np.save(f, self.data) return code_output_path, data_output_path","def emit_imports(self): return self.statement('from dlconv.%s import %s\\n' % (self.target, self.net)) def emit_class_def(self, name):","in self.graph.topologically_sorted(): attach_to_chain = None if len(node.input) == 1: parent = get_real_name(node.input[0]) for","import get_lower_case, get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt a DL graph into a Json","node in chain: b += self.emit_node(node) blocks.append(b[:-1]) source += '\\n\\n'.join(blocks) return source class","chain in chains: if chain[-1].name == parent: # Node is part of an","if target == 'tensorflow': self.target = target self.net = 'TensorFlowNetwork' elif target ==","'CaffeNetwork' else: raise ConversionError('Target %s is not supported yet.' % target) def indent(self):","png_path = graph_path elif self._is_web_page(graph_path): png_path = graph_path + \".png\" html_path = graph_path","% (key, value) args = [] for input in node.input: input = input.strip().split(':')","<img alt=\"Model Graph\" src=\"data:image/png;base64,{base64_str}\" /> </body> </html>\"\"\".format(base64_str=encoded) with open(html_path, 'w', encoding='utf-8') as f:","(', '.join(output), node.op, args)) def dump(self, code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name =","from dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format or %s","if graph_path.endswith('.png'): png_path = graph_path elif self._is_web_page(graph_path): png_path = graph_path + \".png\" html_path","dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted = json.dumps(parsed, indent=4, sort_keys=True)","'w') as f: f.write(formatted) class PyWriter(object): '''Dumpt a DL graph into a Python","graph self.data = data self.tab = ' ' * 4 self.prefix = ''","this node.''' def pair(key, value): return '%s=%s' % (key, value) args = []","google.protobuf import json_format from importlib import import_module import json import numpy as np","'tensorflow': self.target = target self.net = 'TensorFlowNetwork' elif target == 'keras': self.target =","output = [node.output[0]] # output = node.output for k, v in node.attr: if","__init__(self, graph, data, target): self.graph = graph self.data = data self.tab = '","if html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else: raise NotImplementedError('Visualization of %s is unsupported!' %","node.attr: if k == 'cell_type': args.append(pair(k, \"'\" + fetch_attr_value(v) + \"'\")) else: args.append(pair(k,","4 self.prefix = '' target = target.lower() if target == 'tensorflow': self.target =","</head> <body> <img alt=\"Model Graph\" src=\"data:image/png;base64,{base64_str}\" /> </body> </html>\"\"\".format(base64_str=encoded) with open(html_path, 'w', encoding='utf-8')","' ' * 4 self.prefix = '' target = target.lower() if target ==","from importlib import import_module import json import numpy as np import os import","data_output_path def dump(self, model_output_dir): '''Return the file path containing graph in generated model","emit_setup_def(self): return self.statement('def setup(self):') def emit_node(self, node): '''Emits the Python source for this","+ s + '\\n' def emit_imports(self): return self.statement('from dlconv.%s import %s\\n' % (self.target,","sys from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case,","return self.statement('%s = self.%s(%s)' % (', '.join(output), node.op, args)) def dump(self, code_output_dir): if","target == 'tensorflow': self.target = target self.net = 'TensorFlowNetwork' elif target == 'keras':","<head> <meta charset=\"utf-8\"> <title>Keras</title> </head> <body> <img alt=\"Model Graph\" src=\"data:image/png;base64,{base64_str}\" /> </body> </html>\"\"\".format(base64_str=encoded)","= target self.net = 'CaffeNetwork' else: raise ConversionError('Target %s is not supported yet.'","return path.split('.')[-1] in ('html', 'htm') def _png_to_html(self, png_path, html_path): with open(png_path, \"rb\") as","= [] for node in self.graph.topologically_sorted(): attach_to_chain = None if len(node.input) == 1:","from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt a DL graph into","code_output_path self.data_output_path = data_output_path def dump(self, model_output_dir): '''Return the file path containing graph","indent(self): self.prefix += self.tab def outdent(self): self.prefix = self.prefix[:-len(self.tab)] def statement(self, s): return","self.data) return code_output_path, data_output_path def emit(self): # Decompose DAG into chains chains =","= node.output for k, v in node.attr: if k == 'cell_type': args.append(pair(k, \"'\"","node name args = ', '.join(args) return self.statement('%s = self.%s(%s)' % (', '.join(output),","this node. attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python code line by","def dump(self, graph_path): if self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path):","= ', '.join(args) return self.statement('%s = self.%s(%s)' % (', '.join(output), node.op, args)) def","__init__(self, graph): self.graph_def = graph.as_graph_def() def dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed =","chains: if chain[-1].name == parent: # Node is part of an existing chain.","self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def() self.indent() blocks = [] for chain in chains:","parent = get_real_name(node.input[0]) for chain in chains: if chain[-1].name == parent: # Node","a DL graph into a Json file.''' def __init__(self, graph): self.graph_def = graph.as_graph_def()","= get_real_name(node.input[0]) for chain in chains: if chain[-1].name == parent: # Node is","b = '' for node in chain: b += self.emit_node(node) blocks.append(b[:-1]) source +=","import_module(file_name) class_name = get_upper_case(file_name) net = getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object):","file_name + '.npy') with open(code_output_path, 'w') as f: f.write(self.emit()) with open(data_output_path, 'wb') as","chain: b += self.emit_node(node) blocks.append(b[:-1]) source += '\\n\\n'.join(blocks) return source class ModelSaver(object): def","= [] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python code line by line source =","= get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name + '.py') data_output_path = os.path.join(code_output_dir, file_name +","code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name +","from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case,","os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name = get_upper_case(file_name) net","%s is unsupported!' % graph_path) elif self.toolkit == 'keras': from dlconv.keras.visualizer import KerasVisualizer","with open(png_path, \"rb\") as f: encoded = base64.b64encode(f.read()).decode('utf-8') source = \"\"\"<!DOCTYPE> <html> <head>","def emit_setup_def(self): return self.statement('def setup(self):') def emit_node(self, node): '''Emits the Python source for","= [] for input in node.input: input = input.strip().split(':') name = ''.join(input[:-1]) idx","output = node.output for k, v in node.attr: if k == 'cell_type': args.append(pair(k,","elif target == 'keras': self.target = target self.net = 'KerasNetwork' elif target ==","== parent: # Node is part of an existing chain. attach_to_chain = chain","self.data = data self.tab = ' ' * 4 self.prefix = '' target","s): return self.prefix + s + '\\n' def emit_imports(self): return self.statement('from dlconv.%s import","os.path.join(code_output_dir, file_name + '.npy') with open(code_output_path, 'w') as f: f.write(self.emit()) with open(data_output_path, 'wb')","html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else: raise NotImplementedError('Visualization of %s is unsupported!' % self.toolkit)","graph in generated model files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0]","graph.as_graph_def() def dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted = json.dumps(parsed,","charset=\"utf-8\"> <title>Keras</title> </head> <body> <img alt=\"Model Graph\" src=\"data:image/png;base64,{base64_str}\" /> </body> </html>\"\"\".format(base64_str=encoded) with open(html_path,","graph, data, target): self.graph = graph self.data = data self.tab = ' '","DL graph into a Python script.''' def __init__(self, graph, data, target): self.graph =","is unsupported!' % graph_path) elif self.toolkit == 'keras': from dlconv.keras.visualizer import KerasVisualizer png_path,","DL graph into a Json file.''' def __init__(self, graph): self.graph_def = graph.as_graph_def() def","not supported yet.' % target) def indent(self): self.prefix += self.tab def outdent(self): self.prefix","'' for node in chain: b += self.emit_node(node) blocks.append(b[:-1]) source += '\\n\\n'.join(blocks) return","== 'tensorflow': self.target = target self.net = 'TensorFlowNetwork' elif target == 'keras': self.target","JsonFormatter(object): '''Dumpt a DL graph into a Json file.''' def __init__(self, graph): self.graph_def","def outdent(self): self.prefix = self.prefix[:-len(self.tab)] def statement(self, s): return self.prefix + s +","len(node.input) == 1: parent = get_real_name(node.input[0]) for chain in chains: if chain[-1].name ==","= target self.net = 'TensorFlowNetwork' elif target == 'keras': self.target = target self.net","# Generate Python code line by line source = self.emit_imports() source += self.emit_class_def(self.graph.name)","from dlconv.keras.visualizer import KerasVisualizer png_path, html_path = (None, None) if graph_path.endswith('.png'): png_path =","in generated model files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module","Start a new chain for this node. attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node) #","for chain in chains: b = '' for node in chain: b +=","= int(input[-1]) assert name in self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output =","= os.path.join(code_output_dir, file_name + '.npy') with open(code_output_path, 'w') as f: f.write(self.emit()) with open(data_output_path,","+ '.py') data_output_path = os.path.join(code_output_dir, file_name + '.npy') with open(code_output_path, 'w') as f:","return self.prefix + s + '\\n' def emit_imports(self): return self.statement('from dlconv.%s import %s\\n'","Set the node name args = ', '.join(args) return self.statement('%s = self.%s(%s)' %","node in self.graph.topologically_sorted(): attach_to_chain = None if len(node.input) == 1: parent = get_real_name(node.input[0])","s + '\\n' def emit_imports(self): return self.statement('from dlconv.%s import %s\\n' % (self.target, self.net))","k == 'cell_type': args.append(pair(k, \"'\" + fetch_attr_value(v) + \"'\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name',","format or %s is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path) os.remove(png_path)","existing chain. attach_to_chain = chain break if attach_to_chain is None: # Start a","as f: np.save(f, self.data) return code_output_path, data_output_path def emit(self): # Decompose DAG into","self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image","blocks.append(b[:-1]) source += '\\n\\n'.join(blocks) return source class ModelSaver(object): def __init__(self, code_output_path, data_output_path): self.code_output_path","net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def __init__(self, toolkit, meta_path): self.toolkit = toolkit.lower() self.meta_path =","toolkit, meta_path): self.toolkit = toolkit.lower() self.meta_path = meta_path def dump(self, graph_path): if self.toolkit","dlconv.keras.visualizer import KerasVisualizer png_path, html_path = (None, None) if graph_path.endswith('.png'): png_path = graph_path","emit_node(self, node): '''Emits the Python source for this node.''' def pair(key, value): return","graph_path elif self._is_web_page(graph_path): png_path = graph_path + \".png\" html_path = graph_path else: raise","#FIXME: output = [node.output[0]] # output = node.output for k, v in node.attr:","self.indent() blocks = [] for chain in chains: b = '' for node","model_output_dir): '''Return the file path containing graph in generated model files.''' if not","%s is not supported yet.' % target) def indent(self): self.prefix += self.tab def","= '' target = target.lower() if target == 'tensorflow': self.target = target self.net","png_path, html_path): with open(png_path, \"rb\") as f: encoded = base64.b64encode(f.read()).decode('utf-8') source = \"\"\"<!DOCTYPE>","= target self.net = 'KerasNetwork' elif target == 'caffe': self.target = target self.net","code_output_path = os.path.join(code_output_dir, file_name + '.py') data_output_path = os.path.join(code_output_dir, file_name + '.npy') with","statement(self, s): return self.prefix + s + '\\n' def emit_imports(self): return self.statement('from dlconv.%s","self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def() self.indent() blocks = [] for","= json.dumps(parsed, indent=4, sort_keys=True) with open(json_path, 'w') as f: f.write(formatted) class PyWriter(object): '''Dumpt","self.meta_path = meta_path def dump(self, graph_path): if self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer import","target): self.graph = graph self.data = data self.tab = ' ' * 4","+ '\\n' def emit_imports(self): return self.statement('from dlconv.%s import %s\\n' % (self.target, self.net)) def","graph into a Python script.''' def __init__(self, graph, data, target): self.graph = graph","into a Json file.''' def __init__(self, graph): self.graph_def = graph.as_graph_def() def dump(self, json_path):","f: np.save(f, self.data) return code_output_path, data_output_path def emit(self): # Decompose DAG into chains","== 'caffe': self.target = target self.net = 'CaffeNetwork' else: raise ConversionError('Target %s is","TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format or %s is unsupported!' %","input = input.strip().split(':') name = ''.join(input[:-1]) idx = int(input[-1]) assert name in self.graph.node_dict","target self.net = 'KerasNetwork' elif target == 'caffe': self.target = target self.net =","base64.b64encode(f.read()).decode('utf-8') source = \"\"\"<!DOCTYPE> <html> <head> <meta charset=\"utf-8\"> <title>Keras</title> </head> <body> <img alt=\"Model","= self.%s(%s)' % (', '.join(output), node.op, args)) def dump(self, code_output_dir): if not os.path.exists(code_output_dir):","= getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def __init__(self, toolkit, meta_path): self.toolkit","as f: encoded = base64.b64encode(f.read()).decode('utf-8') source = \"\"\"<!DOCTYPE> <html> <head> <meta charset=\"utf-8\"> <title>Keras</title>","containing graph in generated model files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name =","+= self.emit_setup_def() self.indent() blocks = [] for chain in chains: b = ''","self.prefix = self.prefix[:-len(self.tab)] def statement(self, s): return self.prefix + s + '\\n' def","class ModelSaver(object): def __init__(self, code_output_path, data_output_path): self.code_output_path = code_output_path self.data_output_path = data_output_path def","% target) def indent(self): self.prefix += self.tab def outdent(self): self.prefix = self.prefix[:-len(self.tab)] def","json_txt = json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted = json.dumps(parsed, indent=4, sort_keys=True) with open(json_path,","% self.toolkit) def _is_web_page(self, path): return path.split('.')[-1] in ('html', 'htm') def _png_to_html(self, png_path,","node): '''Emits the Python source for this node.''' def pair(key, value): return '%s=%s'","+= self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def() self.indent() blocks = [] for chain in","self.graph = graph self.data = data self.tab = ' ' * 4 self.prefix","= meta_path def dump(self, graph_path): if self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer","Generate Python code line by line source = self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent()","chain in chains: b = '' for node in chain: b += self.emit_node(node)","= ''.join(input[:-1]) idx = int(input[-1]) assert name in self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx])","dump(self, model_output_dir): '''Return the file path containing graph in generated model files.''' if","self.net)) def emit_setup_def(self): return self.statement('def setup(self):') def emit_node(self, node): '''Emits the Python source","= 'KerasNetwork' elif target == 'caffe': self.target = target self.net = 'CaffeNetwork' else:","os import sys from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils","= target.lower() if target == 'tensorflow': self.target = target self.net = 'TensorFlowNetwork' elif","self.code_output_path = code_output_path self.data_output_path = data_output_path def dump(self, model_output_dir): '''Return the file path","'htm') def _png_to_html(self, png_path, html_path): with open(png_path, \"rb\") as f: encoded = base64.b64encode(f.read()).decode('utf-8')","alt=\"Model Graph\" src=\"data:image/png;base64,{base64_str}\" /> </body> </html>\"\"\".format(base64_str=encoded) with open(html_path, 'w', encoding='utf-8') as f: f.write(source)","'keras': self.target = target self.net = 'KerasNetwork' elif target == 'caffe': self.target =","f.write(self.emit()) with open(data_output_path, 'wb') as f: np.save(f, self.data) return code_output_path, data_output_path def emit(self):","name): return self.statement('class %s(%s):' % (name, self.net)) def emit_setup_def(self): return self.statement('def setup(self):') def","<body> <img alt=\"Model Graph\" src=\"data:image/png;base64,{base64_str}\" /> </body> </html>\"\"\".format(base64_str=encoded) with open(html_path, 'w', encoding='utf-8') as","elif self.toolkit == 'keras': from dlconv.keras.visualizer import KerasVisualizer png_path, html_path = (None, None)","'\\n\\n'.join(blocks) return source class ModelSaver(object): def __init__(self, code_output_path, data_output_path): self.code_output_path = code_output_path self.data_output_path","%s\\n' % (self.target, self.net)) def emit_class_def(self, name): return self.statement('class %s(%s):' % (name, self.net))","= 'CaffeNetwork' else: raise ConversionError('Target %s is not supported yet.' % target) def","os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name = get_upper_case(file_name) net = getattr(module, class_name) return net.dump(self.data_output_path,","with open(data_output_path, 'wb') as f: np.save(f, self.data) return code_output_path, data_output_path def emit(self): #","attach_to_chain = chain break if attach_to_chain is None: # Start a new chain","self.prefix += self.tab def outdent(self): self.prefix = self.prefix[:-len(self.tab)] def statement(self, s): return self.prefix","for node in chain: b += self.emit_node(node) blocks.append(b[:-1]) source += '\\n\\n'.join(blocks) return source","self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format or %s is unsupported!' % graph_path) elif","model files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name)","%s is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else: raise","a new chain for this node. attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate","not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name = get_upper_case(file_name)","parsed = json.loads(json_txt) formatted = json.dumps(parsed, indent=4, sort_keys=True) with open(json_path, 'w') as f:","= graph_path elif self._is_web_page(graph_path): png_path = graph_path + \".png\" html_path = graph_path else:","self.prefix + s + '\\n' def emit_imports(self): return self.statement('from dlconv.%s import %s\\n' %","chains: b = '' for node in chain: b += self.emit_node(node) blocks.append(b[:-1]) source","is part of an existing chain. attach_to_chain = chain break if attach_to_chain is","open(json_path, 'w') as f: f.write(formatted) class PyWriter(object): '''Dumpt a DL graph into a","+ \".png\" html_path = graph_path else: raise NotImplementedError('Image format or %s is unsupported!'","DAG into chains chains = [] for node in self.graph.topologically_sorted(): attach_to_chain = None","if len(node.input) == 1: parent = get_real_name(node.input[0]) for chain in chains: if chain[-1].name","= self.prefix[:-len(self.tab)] def statement(self, s): return self.prefix + s + '\\n' def emit_imports(self):","dump(self, graph_path): if self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path)","'\\n' def emit_imports(self): return self.statement('from dlconv.%s import %s\\n' % (self.target, self.net)) def emit_class_def(self,","= toolkit.lower() self.meta_path = meta_path def dump(self, graph_path): if self.toolkit == 'tensorflow': from","import_module import json import numpy as np import os import sys from mmdnn.conversion.caffe.errors","return code_output_path, data_output_path def emit(self): # Decompose DAG into chains chains = []","import numpy as np import os import sys from mmdnn.conversion.caffe.errors import ConversionError from","into chains chains = [] for node in self.graph.topologically_sorted(): attach_to_chain = None if","for node in self.graph.topologically_sorted(): attach_to_chain = None if len(node.input) == 1: parent =","self.target = target self.net = 'KerasNetwork' elif target == 'caffe': self.target = target","target == 'keras': self.target = target self.net = 'KerasNetwork' elif target == 'caffe':","KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else: raise NotImplementedError('Visualization of %s is unsupported!'","the Python source for this node.''' def pair(key, value): return '%s=%s' % (key,","raise ConversionError('Target %s is not supported yet.' % target) def indent(self): self.prefix +=","== 'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format","f: encoded = base64.b64encode(f.read()).decode('utf-8') source = \"\"\"<!DOCTYPE> <html> <head> <meta charset=\"utf-8\"> <title>Keras</title> </head>","+= self.emit_node(node) blocks.append(b[:-1]) source += '\\n\\n'.join(blocks) return source class ModelSaver(object): def __init__(self, code_output_path,","[node.output[0]] # output = node.output for k, v in node.attr: if k ==","dlconv.%s import %s\\n' % (self.target, self.net)) def emit_class_def(self, name): return self.statement('class %s(%s):' %","fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt a DL graph","assert name in self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output = [node.output[0]] #","+ \"'\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \"'\" + node.name + \"'\")) # Set","pair(key, value): return '%s=%s' % (key, value) args = [] for input in","', '.join(args) return self.statement('%s = self.%s(%s)' % (', '.join(output), node.op, args)) def dump(self,","chain for this node. attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python code","open(png_path, \"rb\") as f: encoded = base64.b64encode(f.read()).decode('utf-8') source = \"\"\"<!DOCTYPE> <html> <head> <meta","attach_to_chain is None: # Start a new chain for this node. attach_to_chain =","node.input: input = input.strip().split(':') name = ''.join(input[:-1]) idx = int(input[-1]) assert name in","return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def __init__(self, toolkit, meta_path): self.toolkit = toolkit.lower() self.meta_path","elif target == 'caffe': self.target = target self.net = 'CaffeNetwork' else: raise ConversionError('Target","NotImplementedError('Image format or %s is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path)","NotImplementedError('Visualization of %s is unsupported!' % self.toolkit) def _is_web_page(self, path): return path.split('.')[-1] in","= data_output_path def dump(self, model_output_dir): '''Return the file path containing graph in generated","fetch_attr_value(v) + \"'\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \"'\" + node.name + \"'\")) #","node. attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python code line by line","ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name class JsonFormatter(object):","self.toolkit) def _is_web_page(self, path): return path.split('.')[-1] in ('html', 'htm') def _png_to_html(self, png_path, html_path):","'w') as f: f.write(self.emit()) with open(data_output_path, 'wb') as f: np.save(f, self.data) return code_output_path,","os.path.join(code_output_dir, file_name + '.py') data_output_path = os.path.join(code_output_dir, file_name + '.npy') with open(code_output_path, 'w')","json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted = json.dumps(parsed, indent=4, sort_keys=True) with","if k == 'cell_type': args.append(pair(k, \"'\" + fetch_attr_value(v) + \"'\")) else: args.append(pair(k, fetch_attr_value(v)))","'wb') as f: np.save(f, self.data) return code_output_path, data_output_path def emit(self): # Decompose DAG","_png_to_html(self, png_path, html_path): with open(png_path, \"rb\") as f: encoded = base64.b64encode(f.read()).decode('utf-8') source =","png_path, html_path = (None, None) if graph_path.endswith('.png'): png_path = graph_path elif self._is_web_page(graph_path): png_path","if attach_to_chain is None: # Start a new chain for this node. attach_to_chain","path.split('.')[-1] in ('html', 'htm') def _png_to_html(self, png_path, html_path): with open(png_path, \"rb\") as f:","graph_path else: raise NotImplementedError('Image format or %s is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if","graph_path + \".png\" html_path = graph_path else: raise NotImplementedError('Image format or %s is","fetch_attr_value(v))) args.append(pair('name', \"'\" + node.name + \"'\")) # Set the node name args","self.emit_node(node) blocks.append(b[:-1]) source += '\\n\\n'.join(blocks) return source class ModelSaver(object): def __init__(self, code_output_path, data_output_path):","self.target = target self.net = 'TensorFlowNetwork' elif target == 'keras': self.target = target","if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name + '.py')","= [node.output[0]] # output = node.output for k, v in node.attr: if k","png_path = graph_path + \".png\" html_path = graph_path else: raise NotImplementedError('Image format or","def emit_class_def(self, name): return self.statement('class %s(%s):' % (name, self.net)) def emit_setup_def(self): return self.statement('def","chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python code line by line source = self.emit_imports() source","= graph.as_graph_def() def dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted =","TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format or %s is unsupported!' % graph_path) elif self.toolkit","% (name, self.net)) def emit_setup_def(self): return self.statement('def setup(self):') def emit_node(self, node): '''Emits the","for input in node.input: input = input.strip().split(':') name = ''.join(input[:-1]) idx = int(input[-1])","'''Return the file path containing graph in generated model files.''' if not os.path.exists(model_output_dir):","= None if len(node.input) == 1: parent = get_real_name(node.input[0]) for chain in chains:","'caffe': self.target = target self.net = 'CaffeNetwork' else: raise ConversionError('Target %s is not","graph_path.endswith('.png'): png_path = graph_path elif self._is_web_page(graph_path): png_path = graph_path + \".png\" html_path =","emit_class_def(self, name): return self.statement('class %s(%s):' % (name, self.net)) def emit_setup_def(self): return self.statement('def setup(self):')","GraphDrawer(object): def __init__(self, toolkit, meta_path): self.toolkit = toolkit.lower() self.meta_path = meta_path def dump(self,","== 'keras': from dlconv.keras.visualizer import KerasVisualizer png_path, html_path = (None, None) if graph_path.endswith('.png'):","mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt a","source = self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def() self.indent() blocks =","%s(%s):' % (name, self.net)) def emit_setup_def(self): return self.statement('def setup(self):') def emit_node(self, node): '''Emits","# Decompose DAG into chains chains = [] for node in self.graph.topologically_sorted(): attach_to_chain","self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output = [node.output[0]] # output = node.output for k, v","1: parent = get_real_name(node.input[0]) for chain in chains: if chain[-1].name == parent: #","(key, value) args = [] for input in node.input: input = input.strip().split(':') name","html_path) os.remove(png_path) else: raise NotImplementedError('Visualization of %s is unsupported!' % self.toolkit) def _is_web_page(self,","base64 from google.protobuf import json_format from importlib import import_module import json import numpy","= input.strip().split(':') name = ''.join(input[:-1]) idx = int(input[-1]) assert name in self.graph.node_dict parent","node.''' def pair(key, value): return '%s=%s' % (key, value) args = [] for","= self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def() self.indent() blocks = []","data_output_path): self.code_output_path = code_output_path self.data_output_path = data_output_path def dump(self, model_output_dir): '''Return the file","part of an existing chain. attach_to_chain = chain break if attach_to_chain is None:","= import_module(file_name) class_name = get_upper_case(file_name) net = getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir) class","'''Emits the Python source for this node.''' def pair(key, value): return '%s=%s' %","else: raise NotImplementedError('Image format or %s is unsupported!' % graph_path) elif self.toolkit ==","raise NotImplementedError('Image format or %s is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path,","Decompose DAG into chains chains = [] for node in self.graph.topologically_sorted(): attach_to_chain =","module = import_module(file_name) class_name = get_upper_case(file_name) net = getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir)","Json file.''' def __init__(self, graph): self.graph_def = graph.as_graph_def() def dump(self, json_path): json_txt =","Python source for this node.''' def pair(key, value): return '%s=%s' % (key, value)","Node is part of an existing chain. attach_to_chain = chain break if attach_to_chain","+ fetch_attr_value(v) + \"'\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \"'\" + node.name + \"'\"))","in node.attr: if k == 'cell_type': args.append(pair(k, \"'\" + fetch_attr_value(v) + \"'\")) else:","self.toolkit == 'keras': from dlconv.keras.visualizer import KerasVisualizer png_path, html_path = (None, None) if","json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted = json.dumps(parsed, indent=4, sort_keys=True) with open(json_path, 'w') as","is None: # Start a new chain for this node. attach_to_chain = []","<reponame>2yz/MMdnn import base64 from google.protobuf import json_format from importlib import import_module import json","self.tab = ' ' * 4 self.prefix = '' target = target.lower() if","new chain for this node. attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python","is not supported yet.' % target) def indent(self): self.prefix += self.tab def outdent(self):","in self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output = [node.output[0]] # output =","class JsonFormatter(object): '''Dumpt a DL graph into a Json file.''' def __init__(self, graph):","by line source = self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def() self.indent()","getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def __init__(self, toolkit, meta_path): self.toolkit =","html_path = (None, None) if graph_path.endswith('.png'): png_path = graph_path elif self._is_web_page(graph_path): png_path =","'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format or","# Set the node name args = ', '.join(args) return self.statement('%s = self.%s(%s)'","args)) def dump(self, code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path =","line source = self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def() self.indent() blocks","supported yet.' % target) def indent(self): self.prefix += self.tab def outdent(self): self.prefix =","% graph_path) elif self.toolkit == 'keras': from dlconv.keras.visualizer import KerasVisualizer png_path, html_path =","def dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted = json.dumps(parsed, indent=4,","def _is_web_page(self, path): return path.split('.')[-1] in ('html', 'htm') def _png_to_html(self, png_path, html_path): with","'%s=%s' % (key, value) args = [] for input in node.input: input =","in chain: b += self.emit_node(node) blocks.append(b[:-1]) source += '\\n\\n'.join(blocks) return source class ModelSaver(object):","unsupported!' % graph_path) elif self.toolkit == 'keras': from dlconv.keras.visualizer import KerasVisualizer png_path, html_path","in chains: b = '' for node in chain: b += self.emit_node(node) blocks.append(b[:-1])","as np import os import sys from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import","PyWriter(object): '''Dumpt a DL graph into a Python script.''' def __init__(self, graph, data,","raise NotImplementedError('Visualization of %s is unsupported!' % self.toolkit) def _is_web_page(self, path): return path.split('.')[-1]","self.net = 'CaffeNetwork' else: raise ConversionError('Target %s is not supported yet.' % target)","\"'\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \"'\" + node.name + \"'\")) # Set the","path containing graph in generated model files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name","''.join(input[:-1]) idx = int(input[-1]) assert name in self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME:","open(code_output_path, 'w') as f: f.write(self.emit()) with open(data_output_path, 'wb') as f: np.save(f, self.data) return","get_real_name class JsonFormatter(object): '''Dumpt a DL graph into a Json file.''' def __init__(self,","outdent(self): self.prefix = self.prefix[:-len(self.tab)] def statement(self, s): return self.prefix + s + '\\n'","data_output_path def emit(self): # Decompose DAG into chains chains = [] for node","emit_imports(self): return self.statement('from dlconv.%s import %s\\n' % (self.target, self.net)) def emit_class_def(self, name): return","value) args = [] for input in node.input: input = input.strip().split(':') name =","== 1: parent = get_real_name(node.input[0]) for chain in chains: if chain[-1].name == parent:","formatted = json.dumps(parsed, indent=4, sort_keys=True) with open(json_path, 'w') as f: f.write(formatted) class PyWriter(object):","sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name = get_upper_case(file_name) net = getattr(module,","'KerasNetwork' elif target == 'caffe': self.target = target self.net = 'CaffeNetwork' else: raise","get_lower_case, get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt a DL graph into a Json file.'''","def dump(self, code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir,","importlib import import_module import json import numpy as np import os import sys","self.tab def outdent(self): self.prefix = self.prefix[:-len(self.tab)] def statement(self, s): return self.prefix + s","name = ''.join(input[:-1]) idx = int(input[-1]) assert name in self.graph.node_dict parent = self.graph.get_node(name)","f: f.write(formatted) class PyWriter(object): '''Dumpt a DL graph into a Python script.''' def","= code_output_path self.data_output_path = data_output_path def dump(self, model_output_dir): '''Return the file path containing","input in node.input: input = input.strip().split(':') name = ''.join(input[:-1]) idx = int(input[-1]) assert","k, v in node.attr: if k == 'cell_type': args.append(pair(k, \"'\" + fetch_attr_value(v) +","def _png_to_html(self, png_path, html_path): with open(png_path, \"rb\") as f: encoded = base64.b64encode(f.read()).decode('utf-8') source","KerasVisualizer png_path, html_path = (None, None) if graph_path.endswith('.png'): png_path = graph_path elif self._is_web_page(graph_path):","ConversionError('Target %s is not supported yet.' % target) def indent(self): self.prefix += self.tab","attach_to_chain.append(node) # Generate Python code line by line source = self.emit_imports() source +=","or %s is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else:","in chains: if chain[-1].name == parent: # Node is part of an existing","+ node.name + \"'\")) # Set the node name args = ', '.join(args)","+= self.tab def outdent(self): self.prefix = self.prefix[:-len(self.tab)] def statement(self, s): return self.prefix +","NotImplementedError('Image format or %s is unsupported!' % graph_path) elif self.toolkit == 'keras': from","('html', 'htm') def _png_to_html(self, png_path, html_path): with open(png_path, \"rb\") as f: encoded =","mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name","% graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else: raise NotImplementedError('Visualization of %s","<html> <head> <meta charset=\"utf-8\"> <title>Keras</title> </head> <body> <img alt=\"Model Graph\" src=\"data:image/png;base64,{base64_str}\" /> </body>","== 'keras': self.target = target self.net = 'KerasNetwork' elif target == 'caffe': self.target","def __init__(self, code_output_path, data_output_path): self.code_output_path = code_output_path self.data_output_path = data_output_path def dump(self, model_output_dir):","'.join(output), node.op, args)) def dump(self, code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name)","self.target = target self.net = 'CaffeNetwork' else: raise ConversionError('Target %s is not supported","node.op, args)) def dump(self, code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path","self.graph.topologically_sorted(): attach_to_chain = None if len(node.input) == 1: parent = get_real_name(node.input[0]) for chain","line by line source = self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def()","args = [] for input in node.input: input = input.strip().split(':') name = ''.join(input[:-1])","node.name + \"'\")) # Set the node name args = ', '.join(args) return","chain break if attach_to_chain is None: # Start a new chain for this","emit(self): # Decompose DAG into chains chains = [] for node in self.graph.topologically_sorted():","Python code line by line source = self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent() source","self.graph_def = graph.as_graph_def() def dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted","= base64.b64encode(f.read()).decode('utf-8') source = \"\"\"<!DOCTYPE> <html> <head> <meta charset=\"utf-8\"> <title>Keras</title> </head> <body> <img","np.save(f, self.data) return code_output_path, data_output_path def emit(self): # Decompose DAG into chains chains","= chain break if attach_to_chain is None: # Start a new chain for","json_format from importlib import import_module import json import numpy as np import os","class GraphDrawer(object): def __init__(self, toolkit, meta_path): self.toolkit = toolkit.lower() self.meta_path = meta_path def","input.strip().split(':') name = ''.join(input[:-1]) idx = int(input[-1]) assert name in self.graph.node_dict parent =","'.join(args) return self.statement('%s = self.%s(%s)' % (', '.join(output), node.op, args)) def dump(self, code_output_dir):","json.dumps(parsed, indent=4, sort_keys=True) with open(json_path, 'w') as f: f.write(formatted) class PyWriter(object): '''Dumpt a","meta_path): self.toolkit = toolkit.lower() self.meta_path = meta_path def dump(self, graph_path): if self.toolkit ==","self.statement('from dlconv.%s import %s\\n' % (self.target, self.net)) def emit_class_def(self, name): return self.statement('class %s(%s):'","+ '.npy') with open(code_output_path, 'w') as f: f.write(self.emit()) with open(data_output_path, 'wb') as f:","\"'\" + fetch_attr_value(v) + \"'\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \"'\" + node.name +","'''Dumpt a DL graph into a Json file.''' def __init__(self, graph): self.graph_def =","open(data_output_path, 'wb') as f: np.save(f, self.data) return code_output_path, data_output_path def emit(self): # Decompose","not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name + '.py') data_output_path","target == 'caffe': self.target = target self.net = 'CaffeNetwork' else: raise ConversionError('Target %s","return self.statement('def setup(self):') def emit_node(self, node): '''Emits the Python source for this node.'''","file path containing graph in generated model files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path))","class PyWriter(object): '''Dumpt a DL graph into a Python script.''' def __init__(self, graph,","'.npy') with open(code_output_path, 'w') as f: f.write(self.emit()) with open(data_output_path, 'wb') as f: np.save(f,","break if attach_to_chain is None: # Start a new chain for this node.","source for this node.''' def pair(key, value): return '%s=%s' % (key, value) args","setup(self):') def emit_node(self, node): '''Emits the Python source for this node.''' def pair(key,","graph_path): if self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else:","else: raise NotImplementedError('Image format or %s is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path:","format or %s is unsupported!' % graph_path) elif self.toolkit == 'keras': from dlconv.keras.visualizer","import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format or %s is unsupported!'","model_output_dir) class GraphDrawer(object): def __init__(self, toolkit, meta_path): self.toolkit = toolkit.lower() self.meta_path = meta_path","import os import sys from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from","int(input[-1]) assert name in self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output = [node.output[0]]","in node.input: input = input.strip().split(':') name = ''.join(input[:-1]) idx = int(input[-1]) assert name","np import os import sys from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value","for this node.''' def pair(key, value): return '%s=%s' % (key, value) args =","f: f.write(self.emit()) with open(data_output_path, 'wb') as f: np.save(f, self.data) return code_output_path, data_output_path def","None: # Start a new chain for this node. attach_to_chain = [] chains.append(attach_to_chain)","get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt a DL graph into a Json file.''' def","data_output_path = os.path.join(code_output_dir, file_name + '.npy') with open(code_output_path, 'w') as f: f.write(self.emit()) with","<title>Keras</title> </head> <body> <img alt=\"Model Graph\" src=\"data:image/png;base64,{base64_str}\" /> </body> </html>\"\"\".format(base64_str=encoded) with open(html_path, 'w',","a Python script.''' def __init__(self, graph, data, target): self.graph = graph self.data =","% (', '.join(output), node.op, args)) def dump(self, code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name","import json_format from importlib import import_module import json import numpy as np import","mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt a DL graph into a","import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name class","= get_upper_case(file_name) net = getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def __init__(self,","= [] for chain in chains: b = '' for node in chain:","target.lower() if target == 'tensorflow': self.target = target self.net = 'TensorFlowNetwork' elif target","graph_path) elif self.toolkit == 'keras': from dlconv.keras.visualizer import KerasVisualizer png_path, html_path = (None,","import json import numpy as np import os import sys from mmdnn.conversion.caffe.errors import","file_name + '.py') data_output_path = os.path.join(code_output_dir, file_name + '.npy') with open(code_output_path, 'w') as","toolkit.lower() self.meta_path = meta_path def dump(self, graph_path): if self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer","self._is_web_page(graph_path): png_path = graph_path + \".png\" html_path = graph_path else: raise NotImplementedError('Image format","parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output = [node.output[0]] # output = node.output for","== 'cell_type': args.append(pair(k, \"'\" + fetch_attr_value(v) + \"'\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \"'\"","def emit(self): # Decompose DAG into chains chains = [] for node in","import sys from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import","chains = [] for node in self.graph.topologically_sorted(): attach_to_chain = None if len(node.input) ==","source class ModelSaver(object): def __init__(self, code_output_path, data_output_path): self.code_output_path = code_output_path self.data_output_path = data_output_path","self.emit_setup_def() self.indent() blocks = [] for chain in chains: b = '' for","graph into a Json file.''' def __init__(self, graph): self.graph_def = graph.as_graph_def() def dump(self,","else: raise NotImplementedError('Visualization of %s is unsupported!' % self.toolkit) def _is_web_page(self, path): return","of %s is unsupported!' % self.toolkit) def _is_web_page(self, path): return path.split('.')[-1] in ('html',","args.append(parent.output[idx]) #FIXME: output = [node.output[0]] # output = node.output for k, v in","+ \"'\")) # Set the node name args = ', '.join(args) return self.statement('%s","def statement(self, s): return self.prefix + s + '\\n' def emit_imports(self): return self.statement('from","script.''' def __init__(self, graph, data, target): self.graph = graph self.data = data self.tab","self.prefix = '' target = target.lower() if target == 'tensorflow': self.target = target","self.net = 'TensorFlowNetwork' elif target == 'keras': self.target = target self.net = 'KerasNetwork'","v in node.attr: if k == 'cell_type': args.append(pair(k, \"'\" + fetch_attr_value(v) + \"'\"))","for this node. attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python code line","%s is unsupported!' % self.toolkit) def _is_web_page(self, path): return path.split('.')[-1] in ('html', 'htm')","def emit_node(self, node): '''Emits the Python source for this node.''' def pair(key, value):","self.net = 'KerasNetwork' elif target == 'caffe': self.target = target self.net = 'CaffeNetwork'","json.loads(json_txt) formatted = json.dumps(parsed, indent=4, sort_keys=True) with open(json_path, 'w') as f: f.write(formatted) class","file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name = get_upper_case(file_name) net = getattr(module, class_name)","return source class ModelSaver(object): def __init__(self, code_output_path, data_output_path): self.code_output_path = code_output_path self.data_output_path =","= ' ' * 4 self.prefix = '' target = target.lower() if target","return '%s=%s' % (key, value) args = [] for input in node.input: input","(self.target, self.net)) def emit_class_def(self, name): return self.statement('class %s(%s):' % (name, self.net)) def emit_setup_def(self):","import import_module import json import numpy as np import os import sys from","def pair(key, value): return '%s=%s' % (key, value) args = [] for input","idx = int(input[-1]) assert name in self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output","code_output_path, data_output_path def emit(self): # Decompose DAG into chains chains = [] for","'''Dumpt a DL graph into a Python script.''' def __init__(self, graph, data, target):","args = ', '.join(args) return self.statement('%s = self.%s(%s)' % (', '.join(output), node.op, args))","sort_keys=True) with open(json_path, 'w') as f: f.write(formatted) class PyWriter(object): '''Dumpt a DL graph","[] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python code line by line source = self.emit_imports()","files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name","path): return path.split('.')[-1] in ('html', 'htm') def _png_to_html(self, png_path, html_path): with open(png_path, \"rb\")","encoded = base64.b64encode(f.read()).decode('utf-8') source = \"\"\"<!DOCTYPE> <html> <head> <meta charset=\"utf-8\"> <title>Keras</title> </head> <body>","os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name + '.py') data_output_path = os.path.join(code_output_dir,","self.%s(%s)' % (', '.join(output), node.op, args)) def dump(self, code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir)","get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name + '.py') data_output_path = os.path.join(code_output_dir, file_name + '.npy')","numpy as np import os import sys from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph","'keras': from dlconv.keras.visualizer import KerasVisualizer png_path, html_path = (None, None) if graph_path.endswith('.png'): png_path","file_name = get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name + '.py') data_output_path = os.path.join(code_output_dir, file_name","__init__(self, code_output_path, data_output_path): self.code_output_path = code_output_path self.data_output_path = data_output_path def dump(self, model_output_dir): '''Return","ModelSaver(object): def __init__(self, code_output_path, data_output_path): self.code_output_path = code_output_path self.data_output_path = data_output_path def dump(self,","name in self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output = [node.output[0]] # output","import KerasVisualizer png_path, html_path = (None, None) if graph_path.endswith('.png'): png_path = graph_path elif","net = getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def __init__(self, toolkit, meta_path):","json import numpy as np import os import sys from mmdnn.conversion.caffe.errors import ConversionError","(name, self.net)) def emit_setup_def(self): return self.statement('def setup(self):') def emit_node(self, node): '''Emits the Python","target) def indent(self): self.prefix += self.tab def outdent(self): self.prefix = self.prefix[:-len(self.tab)] def statement(self,","None) if graph_path.endswith('.png'): png_path = graph_path elif self._is_web_page(graph_path): png_path = graph_path + \".png\"","args.append(pair('name', \"'\" + node.name + \"'\")) # Set the node name args =","get_real_name(node.input[0]) for chain in chains: if chain[-1].name == parent: # Node is part","= '' for node in chain: b += self.emit_node(node) blocks.append(b[:-1]) source += '\\n\\n'.join(blocks)","chain. attach_to_chain = chain break if attach_to_chain is None: # Start a new","from google.protobuf import json_format from importlib import import_module import json import numpy as","os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name + '.py') data_output_path =","self.toolkit = toolkit.lower() self.meta_path = meta_path def dump(self, graph_path): if self.toolkit == 'tensorflow':","return self.statement('from dlconv.%s import %s\\n' % (self.target, self.net)) def emit_class_def(self, name): return self.statement('class","elif self._is_web_page(graph_path): png_path = graph_path + \".png\" html_path = graph_path else: raise NotImplementedError('Image","target self.net = 'TensorFlowNetwork' elif target == 'keras': self.target = target self.net =","= 'TensorFlowNetwork' elif target == 'keras': self.target = target self.net = 'KerasNetwork' elif","self.statement('def setup(self):') def emit_node(self, node): '''Emits the Python source for this node.''' def","os.remove(png_path) else: raise NotImplementedError('Visualization of %s is unsupported!' % self.toolkit) def _is_web_page(self, path):","% (self.target, self.net)) def emit_class_def(self, name): return self.statement('class %s(%s):' % (name, self.net)) def","None if len(node.input) == 1: parent = get_real_name(node.input[0]) for chain in chains: if","'cell_type': args.append(pair(k, \"'\" + fetch_attr_value(v) + \"'\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \"'\" +","source = \"\"\"<!DOCTYPE> <html> <head> <meta charset=\"utf-8\"> <title>Keras</title> </head> <body> <img alt=\"Model Graph\"","= json.loads(json_txt) formatted = json.dumps(parsed, indent=4, sort_keys=True) with open(json_path, 'w') as f: f.write(formatted)","\"'\" + node.name + \"'\")) # Set the node name args = ',","else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \"'\" + node.name + \"'\")) # Set the node","self.data_output_path = data_output_path def dump(self, model_output_dir): '''Return the file path containing graph in","self.prefix[:-len(self.tab)] def statement(self, s): return self.prefix + s + '\\n' def emit_imports(self): return","node.output for k, v in node.attr: if k == 'cell_type': args.append(pair(k, \"'\" +","\"'\")) # Set the node name args = ', '.join(args) return self.statement('%s =","= graph self.data = data self.tab = ' ' * 4 self.prefix =","self.statement('class %s(%s):' % (name, self.net)) def emit_setup_def(self): return self.statement('def setup(self):') def emit_node(self, node):","data, target): self.graph = graph self.data = data self.tab = ' ' *","dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format or %s is","an existing chain. attach_to_chain = chain break if attach_to_chain is None: # Start","class_name = get_upper_case(file_name) net = getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def","# Node is part of an existing chain. attach_to_chain = chain break if","code line by line source = self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent() source +=","the file path containing graph in generated model files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir)","or %s is unsupported!' % graph_path) elif self.toolkit == 'keras': from dlconv.keras.visualizer import","unsupported!' % self.toolkit) def _is_web_page(self, path): return path.split('.')[-1] in ('html', 'htm') def _png_to_html(self,","attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python code line by line source","raise NotImplementedError('Image format or %s is unsupported!' % graph_path) elif self.toolkit == 'keras':","for k, v in node.attr: if k == 'cell_type': args.append(pair(k, \"'\" + fetch_attr_value(v)","'.py') data_output_path = os.path.join(code_output_dir, file_name + '.npy') with open(code_output_path, 'w') as f: f.write(self.emit())","if chain[-1].name == parent: # Node is part of an existing chain. attach_to_chain","_is_web_page(self, path): return path.split('.')[-1] in ('html', 'htm') def _png_to_html(self, png_path, html_path): with open(png_path,","source += '\\n\\n'.join(blocks) return source class ModelSaver(object): def __init__(self, code_output_path, data_output_path): self.code_output_path =","graph): self.graph_def = graph.as_graph_def() def dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt)","indent=4, sort_keys=True) with open(json_path, 'w') as f: f.write(formatted) class PyWriter(object): '''Dumpt a DL","\"rb\") as f: encoded = base64.b64encode(f.read()).decode('utf-8') source = \"\"\"<!DOCTYPE> <html> <head> <meta charset=\"utf-8\">","= self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output = [node.output[0]] # output = node.output for k,","import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt a DL","else: raise ConversionError('Target %s is not supported yet.' % target) def indent(self): self.prefix","self.net)) def emit_class_def(self, name): return self.statement('class %s(%s):' % (name, self.net)) def emit_setup_def(self): return","chain[-1].name == parent: # Node is part of an existing chain. attach_to_chain =","[] for chain in chains: b = '' for node in chain: b","= (None, None) if graph_path.endswith('.png'): png_path = graph_path elif self._is_web_page(graph_path): png_path = graph_path","blocks = [] for chain in chains: b = '' for node in","from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt","def __init__(self, toolkit, meta_path): self.toolkit = toolkit.lower() self.meta_path = meta_path def dump(self, graph_path):","yet.' % target) def indent(self): self.prefix += self.tab def outdent(self): self.prefix = self.prefix[:-len(self.tab)]","generated model files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module =","if self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise","is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else: raise NotImplementedError('Visualization","html_path = graph_path else: raise NotImplementedError('Image format or %s is unsupported!' % graph_path)","self.statement('%s = self.%s(%s)' % (', '.join(output), node.op, args)) def dump(self, code_output_dir): if not","def __init__(self, graph, data, target): self.graph = graph self.data = data self.tab =","dump(self, code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name","code_output_path, data_output_path): self.code_output_path = code_output_path self.data_output_path = data_output_path def dump(self, model_output_dir): '''Return the","self._png_to_html(png_path, html_path) os.remove(png_path) else: raise NotImplementedError('Visualization of %s is unsupported!' % self.toolkit) def","def __init__(self, graph): self.graph_def = graph.as_graph_def() def dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed","chains chains = [] for node in self.graph.topologically_sorted(): attach_to_chain = None if len(node.input)","data self.tab = ' ' * 4 self.prefix = '' target = target.lower()","value): return '%s=%s' % (key, value) args = [] for input in node.input:","parent: # Node is part of an existing chain. attach_to_chain = chain break","Python script.''' def __init__(self, graph, data, target): self.graph = graph self.data = data","target = target.lower() if target == 'tensorflow': self.target = target self.net = 'TensorFlowNetwork'","[] for input in node.input: input = input.strip().split(':') name = ''.join(input[:-1]) idx =","with open(json_path, 'w') as f: f.write(formatted) class PyWriter(object): '''Dumpt a DL graph into","' * 4 self.prefix = '' target = target.lower() if target == 'tensorflow':","self.indent() source += self.emit_setup_def() self.indent() blocks = [] for chain in chains: b","source += self.emit_setup_def() self.indent() blocks = [] for chain in chains: b =","the node name args = ', '.join(args) return self.statement('%s = self.%s(%s)' % (',","with open(code_output_path, 'w') as f: f.write(self.emit()) with open(data_output_path, 'wb') as f: np.save(f, self.data)","= json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted = json.dumps(parsed, indent=4, sort_keys=True) with open(json_path, 'w')","source += self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def() self.indent() blocks = [] for chain","\".png\" html_path = graph_path else: raise NotImplementedError('Image format or %s is unsupported!' %","return self.statement('class %s(%s):' % (name, self.net)) def emit_setup_def(self): return self.statement('def setup(self):') def emit_node(self,","= graph_path else: raise NotImplementedError('Image format or %s is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path)","# Start a new chain for this node. attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node)","__init__(self, toolkit, meta_path): self.toolkit = toolkit.lower() self.meta_path = meta_path def dump(self, graph_path): if","of an existing chain. attach_to_chain = chain break if attach_to_chain is None: #","+= '\\n\\n'.join(blocks) return source class ModelSaver(object): def __init__(self, code_output_path, data_output_path): self.code_output_path = code_output_path","if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format or %s is unsupported!' % graph_path)","is unsupported!' % self.toolkit) def _is_web_page(self, path): return path.split('.')[-1] in ('html', 'htm') def","= \"\"\"<!DOCTYPE> <html> <head> <meta charset=\"utf-8\"> <title>Keras</title> </head> <body> <img alt=\"Model Graph\" src=\"data:image/png;base64,{base64_str}\"","'' target = target.lower() if target == 'tensorflow': self.target = target self.net =","= os.path.join(code_output_dir, file_name + '.py') data_output_path = os.path.join(code_output_dir, file_name + '.npy') with open(code_output_path,","meta_path def dump(self, graph_path): if self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer if","into a Python script.''' def __init__(self, graph, data, target): self.graph = graph self.data","import base64 from google.protobuf import json_format from importlib import import_module import json import","b += self.emit_node(node) blocks.append(b[:-1]) source += '\\n\\n'.join(blocks) return source class ModelSaver(object): def __init__(self,","args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \"'\" + node.name + \"'\")) # Set the node name","for chain in chains: if chain[-1].name == parent: # Node is part of","* 4 self.prefix = '' target = target.lower() if target == 'tensorflow': self.target","# output = node.output for k, v in node.attr: if k == 'cell_type':","= graph_path + \".png\" html_path = graph_path else: raise NotImplementedError('Image format or %s","unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else: raise NotImplementedError('Visualization of","in ('html', 'htm') def _png_to_html(self, png_path, html_path): with open(png_path, \"rb\") as f: encoded","import %s\\n' % (self.target, self.net)) def emit_class_def(self, name): return self.statement('class %s(%s):' % (name,","get_upper_case(file_name) net = getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def __init__(self, toolkit,","html_path): with open(png_path, \"rb\") as f: encoded = base64.b64encode(f.read()).decode('utf-8') source = \"\"\"<!DOCTYPE> <html>","[] for node in self.graph.topologically_sorted(): attach_to_chain = None if len(node.input) == 1: parent","a DL graph into a Python script.''' def __init__(self, graph, data, target): self.graph","'TensorFlowNetwork' elif target == 'keras': self.target = target self.net = 'KerasNetwork' elif target","(None, None) if graph_path.endswith('.png'): png_path = graph_path elif self._is_web_page(graph_path): png_path = graph_path +","graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else: raise NotImplementedError('Visualization of %s is","args.append(pair(k, \"'\" + fetch_attr_value(v) + \"'\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \"'\" + node.name","<meta charset=\"utf-8\"> <title>Keras</title> </head> <body> <img alt=\"Model Graph\" src=\"data:image/png;base64,{base64_str}\" /> </body> </html>\"\"\".format(base64_str=encoded) with","as f: f.write(formatted) class PyWriter(object): '''Dumpt a DL graph into a Python script.'''","f.write(formatted) class PyWriter(object): '''Dumpt a DL graph into a Python script.''' def __init__(self,","os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name = get_upper_case(file_name) net =","\"\"\"<!DOCTYPE> <html> <head> <meta charset=\"utf-8\"> <title>Keras</title> </head> <body> <img alt=\"Model Graph\" src=\"data:image/png;base64,{base64_str}\" />","a Json file.''' def __init__(self, graph): self.graph_def = graph.as_graph_def() def dump(self, json_path): json_txt","target self.net = 'CaffeNetwork' else: raise ConversionError('Target %s is not supported yet.' %","self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output = [node.output[0]] # output = node.output","if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name =","def dump(self, model_output_dir): '''Return the file path containing graph in generated model files.'''","name args = ', '.join(args) return self.statement('%s = self.%s(%s)' % (', '.join(output), node.op,","def indent(self): self.prefix += self.tab def outdent(self): self.prefix = self.prefix[:-len(self.tab)] def statement(self, s):","= data self.tab = ' ' * 4 self.prefix = '' target =","class_name) return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def __init__(self, toolkit, meta_path): self.toolkit = toolkit.lower()","file.''' def __init__(self, graph): self.graph_def = graph.as_graph_def() def dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def)","attach_to_chain = None if len(node.input) == 1: parent = get_real_name(node.input[0]) for chain in","= os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name = get_upper_case(file_name) net = getattr(module, class_name) return"],"string":"[\n \"as f: f.write(self.emit()) with open(data_output_path, 'wb') as f: np.save(f, self.data) return code_output_path, data_output_path\",\n \"def emit_imports(self): return self.statement('from dlconv.%s import %s\\\\n' % (self.target, self.net)) def emit_class_def(self, name):\",\n \"in self.graph.topologically_sorted(): attach_to_chain = None if len(node.input) == 1: parent = get_real_name(node.input[0]) for\",\n \"import get_lower_case, get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt a DL graph into a Json\",\n \"node in chain: b += self.emit_node(node) blocks.append(b[:-1]) source += '\\\\n\\\\n'.join(blocks) return source class\",\n \"chain in chains: if chain[-1].name == parent: # Node is part of an\",\n \"if target == 'tensorflow': self.target = target self.net = 'TensorFlowNetwork' elif target ==\",\n \"'CaffeNetwork' else: raise ConversionError('Target %s is not supported yet.' % target) def indent(self):\",\n \"png_path = graph_path elif self._is_web_page(graph_path): png_path = graph_path + \\\".png\\\" html_path = graph_path\",\n \"% (key, value) args = [] for input in node.input: input = input.strip().split(':')\",\n \"<img alt=\\\"Model Graph\\\" src=\\\"data:image/png;base64,{base64_str}\\\" /> </body> </html>\\\"\\\"\\\".format(base64_str=encoded) with open(html_path, 'w', encoding='utf-8') as f:\",\n \"(', '.join(output), node.op, args)) def dump(self, code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name =\",\n \"from dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format or %s\",\n \"if graph_path.endswith('.png'): png_path = graph_path elif self._is_web_page(graph_path): png_path = graph_path + \\\".png\\\" html_path\",\n \"dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted = json.dumps(parsed, indent=4, sort_keys=True)\",\n \"'w') as f: f.write(formatted) class PyWriter(object): '''Dumpt a DL graph into a Python\",\n \"graph self.data = data self.tab = ' ' * 4 self.prefix = ''\",\n \"this node.''' def pair(key, value): return '%s=%s' % (key, value) args = []\",\n \"google.protobuf import json_format from importlib import import_module import json import numpy as np\",\n \"'tensorflow': self.target = target self.net = 'TensorFlowNetwork' elif target == 'keras': self.target =\",\n \"output = [node.output[0]] # output = node.output for k, v in node.attr: if\",\n \"__init__(self, graph, data, target): self.graph = graph self.data = data self.tab = '\",\n \"if html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else: raise NotImplementedError('Visualization of %s is unsupported!' %\",\n \"node.attr: if k == 'cell_type': args.append(pair(k, \\\"'\\\" + fetch_attr_value(v) + \\\"'\\\")) else: args.append(pair(k,\",\n \"4 self.prefix = '' target = target.lower() if target == 'tensorflow': self.target =\",\n \"</head> <body> <img alt=\\\"Model Graph\\\" src=\\\"data:image/png;base64,{base64_str}\\\" /> </body> </html>\\\"\\\"\\\".format(base64_str=encoded) with open(html_path, 'w', encoding='utf-8')\",\n \"' ' * 4 self.prefix = '' target = target.lower() if target ==\",\n \"from importlib import import_module import json import numpy as np import os import\",\n \"data_output_path def dump(self, model_output_dir): '''Return the file path containing graph in generated model\",\n \"emit_setup_def(self): return self.statement('def setup(self):') def emit_node(self, node): '''Emits the Python source for this\",\n \"+ s + '\\\\n' def emit_imports(self): return self.statement('from dlconv.%s import %s\\\\n' % (self.target,\",\n \"sys from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case,\",\n \"return self.statement('%s = self.%s(%s)' % (', '.join(output), node.op, args)) def dump(self, code_output_dir): if\",\n \"target == 'tensorflow': self.target = target self.net = 'TensorFlowNetwork' elif target == 'keras':\",\n \"<head> <meta charset=\\\"utf-8\\\"> <title>Keras</title> </head> <body> <img alt=\\\"Model Graph\\\" src=\\\"data:image/png;base64,{base64_str}\\\" /> </body> </html>\\\"\\\"\\\".format(base64_str=encoded)\",\n \"= target self.net = 'CaffeNetwork' else: raise ConversionError('Target %s is not supported yet.'\",\n \"return path.split('.')[-1] in ('html', 'htm') def _png_to_html(self, png_path, html_path): with open(png_path, \\\"rb\\\") as\",\n \"= [] for node in self.graph.topologically_sorted(): attach_to_chain = None if len(node.input) == 1:\",\n \"from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt a DL graph into\",\n \"code_output_path self.data_output_path = data_output_path def dump(self, model_output_dir): '''Return the file path containing graph\",\n \"indent(self): self.prefix += self.tab def outdent(self): self.prefix = self.prefix[:-len(self.tab)] def statement(self, s): return\",\n \"self.data) return code_output_path, data_output_path def emit(self): # Decompose DAG into chains chains =\",\n \"= node.output for k, v in node.attr: if k == 'cell_type': args.append(pair(k, \\\"'\\\"\",\n \"node name args = ', '.join(args) return self.statement('%s = self.%s(%s)' % (', '.join(output),\",\n \"this node. attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python code line by\",\n \"def dump(self, graph_path): if self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path):\",\n \"= ', '.join(args) return self.statement('%s = self.%s(%s)' % (', '.join(output), node.op, args)) def\",\n \"__init__(self, graph): self.graph_def = graph.as_graph_def() def dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed =\",\n \"chains: if chain[-1].name == parent: # Node is part of an existing chain.\",\n \"self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def() self.indent() blocks = [] for chain in chains:\",\n \"parent = get_real_name(node.input[0]) for chain in chains: if chain[-1].name == parent: # Node\",\n \"a DL graph into a Json file.''' def __init__(self, graph): self.graph_def = graph.as_graph_def()\",\n \"= get_real_name(node.input[0]) for chain in chains: if chain[-1].name == parent: # Node is\",\n \"b = '' for node in chain: b += self.emit_node(node) blocks.append(b[:-1]) source +=\",\n \"import_module(file_name) class_name = get_upper_case(file_name) net = getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object):\",\n \"file_name + '.npy') with open(code_output_path, 'w') as f: f.write(self.emit()) with open(data_output_path, 'wb') as\",\n \"chain: b += self.emit_node(node) blocks.append(b[:-1]) source += '\\\\n\\\\n'.join(blocks) return source class ModelSaver(object): def\",\n \"= [] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python code line by line source =\",\n \"= get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name + '.py') data_output_path = os.path.join(code_output_dir, file_name +\",\n \"code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name +\",\n \"from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case,\",\n \"os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name = get_upper_case(file_name) net\",\n \"%s is unsupported!' % graph_path) elif self.toolkit == 'keras': from dlconv.keras.visualizer import KerasVisualizer\",\n \"with open(png_path, \\\"rb\\\") as f: encoded = base64.b64encode(f.read()).decode('utf-8') source = \\\"\\\"\\\"<!DOCTYPE> <html> <head>\",\n \"def emit_setup_def(self): return self.statement('def setup(self):') def emit_node(self, node): '''Emits the Python source for\",\n \"= [] for input in node.input: input = input.strip().split(':') name = ''.join(input[:-1]) idx\",\n \"output = node.output for k, v in node.attr: if k == 'cell_type': args.append(pair(k,\",\n \"elif target == 'keras': self.target = target self.net = 'KerasNetwork' elif target ==\",\n \"== parent: # Node is part of an existing chain. attach_to_chain = chain\",\n \"self.data = data self.tab = ' ' * 4 self.prefix = '' target\",\n \"s): return self.prefix + s + '\\\\n' def emit_imports(self): return self.statement('from dlconv.%s import\",\n \"os.path.join(code_output_dir, file_name + '.npy') with open(code_output_path, 'w') as f: f.write(self.emit()) with open(data_output_path, 'wb')\",\n \"html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else: raise NotImplementedError('Visualization of %s is unsupported!' % self.toolkit)\",\n \"graph in generated model files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0]\",\n \"graph.as_graph_def() def dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted = json.dumps(parsed,\",\n \"charset=\\\"utf-8\\\"> <title>Keras</title> </head> <body> <img alt=\\\"Model Graph\\\" src=\\\"data:image/png;base64,{base64_str}\\\" /> </body> </html>\\\"\\\"\\\".format(base64_str=encoded) with open(html_path,\",\n \"graph, data, target): self.graph = graph self.data = data self.tab = ' '\",\n \"DL graph into a Python script.''' def __init__(self, graph, data, target): self.graph =\",\n \"is unsupported!' % graph_path) elif self.toolkit == 'keras': from dlconv.keras.visualizer import KerasVisualizer png_path,\",\n \"DL graph into a Json file.''' def __init__(self, graph): self.graph_def = graph.as_graph_def() def\",\n \"not supported yet.' % target) def indent(self): self.prefix += self.tab def outdent(self): self.prefix\",\n \"'' for node in chain: b += self.emit_node(node) blocks.append(b[:-1]) source += '\\\\n\\\\n'.join(blocks) return\",\n \"== 'tensorflow': self.target = target self.net = 'TensorFlowNetwork' elif target == 'keras': self.target\",\n \"JsonFormatter(object): '''Dumpt a DL graph into a Json file.''' def __init__(self, graph): self.graph_def\",\n \"def outdent(self): self.prefix = self.prefix[:-len(self.tab)] def statement(self, s): return self.prefix + s +\",\n \"len(node.input) == 1: parent = get_real_name(node.input[0]) for chain in chains: if chain[-1].name ==\",\n \"= target self.net = 'TensorFlowNetwork' elif target == 'keras': self.target = target self.net\",\n \"# Generate Python code line by line source = self.emit_imports() source += self.emit_class_def(self.graph.name)\",\n \"from dlconv.keras.visualizer import KerasVisualizer png_path, html_path = (None, None) if graph_path.endswith('.png'): png_path =\",\n \"in generated model files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module\",\n \"Start a new chain for this node. attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node) #\",\n \"for chain in chains: b = '' for node in chain: b +=\",\n \"= int(input[-1]) assert name in self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output =\",\n \"= os.path.join(code_output_dir, file_name + '.npy') with open(code_output_path, 'w') as f: f.write(self.emit()) with open(data_output_path,\",\n \"+ '.py') data_output_path = os.path.join(code_output_dir, file_name + '.npy') with open(code_output_path, 'w') as f:\",\n \"return self.prefix + s + '\\\\n' def emit_imports(self): return self.statement('from dlconv.%s import %s\\\\n'\",\n \"Set the node name args = ', '.join(args) return self.statement('%s = self.%s(%s)' %\",\n \"node in self.graph.topologically_sorted(): attach_to_chain = None if len(node.input) == 1: parent = get_real_name(node.input[0])\",\n \"s + '\\\\n' def emit_imports(self): return self.statement('from dlconv.%s import %s\\\\n' % (self.target, self.net))\",\n \"k == 'cell_type': args.append(pair(k, \\\"'\\\" + fetch_attr_value(v) + \\\"'\\\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name',\",\n \"format or %s is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path) os.remove(png_path)\",\n \"existing chain. attach_to_chain = chain break if attach_to_chain is None: # Start a\",\n \"as f: np.save(f, self.data) return code_output_path, data_output_path def emit(self): # Decompose DAG into\",\n \"self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image\",\n \"blocks.append(b[:-1]) source += '\\\\n\\\\n'.join(blocks) return source class ModelSaver(object): def __init__(self, code_output_path, data_output_path): self.code_output_path\",\n \"net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def __init__(self, toolkit, meta_path): self.toolkit = toolkit.lower() self.meta_path =\",\n \"toolkit, meta_path): self.toolkit = toolkit.lower() self.meta_path = meta_path def dump(self, graph_path): if self.toolkit\",\n \"dlconv.keras.visualizer import KerasVisualizer png_path, html_path = (None, None) if graph_path.endswith('.png'): png_path = graph_path\",\n \"emit_node(self, node): '''Emits the Python source for this node.''' def pair(key, value): return\",\n \"graph_path elif self._is_web_page(graph_path): png_path = graph_path + \\\".png\\\" html_path = graph_path else: raise\",\n \"#FIXME: output = [node.output[0]] # output = node.output for k, v in node.attr:\",\n \"self.indent() blocks = [] for chain in chains: b = '' for node\",\n \"model_output_dir): '''Return the file path containing graph in generated model files.''' if not\",\n \"%s is not supported yet.' % target) def indent(self): self.prefix += self.tab def\",\n \"= '' target = target.lower() if target == 'tensorflow': self.target = target self.net\",\n \"png_path, html_path): with open(png_path, \\\"rb\\\") as f: encoded = base64.b64encode(f.read()).decode('utf-8') source = \\\"\\\"\\\"<!DOCTYPE>\",\n \"= target self.net = 'KerasNetwork' elif target == 'caffe': self.target = target self.net\",\n \"code_output_path = os.path.join(code_output_dir, file_name + '.py') data_output_path = os.path.join(code_output_dir, file_name + '.npy') with\",\n \"statement(self, s): return self.prefix + s + '\\\\n' def emit_imports(self): return self.statement('from dlconv.%s\",\n \"self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def() self.indent() blocks = [] for\",\n \"= json.dumps(parsed, indent=4, sort_keys=True) with open(json_path, 'w') as f: f.write(formatted) class PyWriter(object): '''Dumpt\",\n \"self.meta_path = meta_path def dump(self, graph_path): if self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer import\",\n \"target): self.graph = graph self.data = data self.tab = ' ' * 4\",\n \"+ '\\\\n' def emit_imports(self): return self.statement('from dlconv.%s import %s\\\\n' % (self.target, self.net)) def\",\n \"graph into a Python script.''' def __init__(self, graph, data, target): self.graph = graph\",\n \"into a Json file.''' def __init__(self, graph): self.graph_def = graph.as_graph_def() def dump(self, json_path):\",\n \"f: np.save(f, self.data) return code_output_path, data_output_path def emit(self): # Decompose DAG into chains\",\n \"== 'caffe': self.target = target self.net = 'CaffeNetwork' else: raise ConversionError('Target %s is\",\n \"TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format or %s is unsupported!' %\",\n \"input = input.strip().split(':') name = ''.join(input[:-1]) idx = int(input[-1]) assert name in self.graph.node_dict\",\n \"target self.net = 'KerasNetwork' elif target == 'caffe': self.target = target self.net =\",\n \"base64.b64encode(f.read()).decode('utf-8') source = \\\"\\\"\\\"<!DOCTYPE> <html> <head> <meta charset=\\\"utf-8\\\"> <title>Keras</title> </head> <body> <img alt=\\\"Model\",\n \"= self.%s(%s)' % (', '.join(output), node.op, args)) def dump(self, code_output_dir): if not os.path.exists(code_output_dir):\",\n \"= getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def __init__(self, toolkit, meta_path): self.toolkit\",\n \"as f: encoded = base64.b64encode(f.read()).decode('utf-8') source = \\\"\\\"\\\"<!DOCTYPE> <html> <head> <meta charset=\\\"utf-8\\\"> <title>Keras</title>\",\n \"containing graph in generated model files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name =\",\n \"+= self.emit_setup_def() self.indent() blocks = [] for chain in chains: b = ''\",\n \"self.prefix = self.prefix[:-len(self.tab)] def statement(self, s): return self.prefix + s + '\\\\n' def\",\n \"class ModelSaver(object): def __init__(self, code_output_path, data_output_path): self.code_output_path = code_output_path self.data_output_path = data_output_path def\",\n \"% target) def indent(self): self.prefix += self.tab def outdent(self): self.prefix = self.prefix[:-len(self.tab)] def\",\n \"json_txt = json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted = json.dumps(parsed, indent=4, sort_keys=True) with open(json_path,\",\n \"% self.toolkit) def _is_web_page(self, path): return path.split('.')[-1] in ('html', 'htm') def _png_to_html(self, png_path,\",\n \"node): '''Emits the Python source for this node.''' def pair(key, value): return '%s=%s'\",\n \"+= self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def() self.indent() blocks = [] for chain in\",\n \"self.graph = graph self.data = data self.tab = ' ' * 4 self.prefix\",\n \"= meta_path def dump(self, graph_path): if self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer\",\n \"Generate Python code line by line source = self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent()\",\n \"chain in chains: b = '' for node in chain: b += self.emit_node(node)\",\n \"= ''.join(input[:-1]) idx = int(input[-1]) assert name in self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx])\",\n \"dump(self, model_output_dir): '''Return the file path containing graph in generated model files.''' if\",\n \"self.net)) def emit_setup_def(self): return self.statement('def setup(self):') def emit_node(self, node): '''Emits the Python source\",\n \"= 'KerasNetwork' elif target == 'caffe': self.target = target self.net = 'CaffeNetwork' else:\",\n \"os import sys from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils\",\n \"= target.lower() if target == 'tensorflow': self.target = target self.net = 'TensorFlowNetwork' elif\",\n \"self.code_output_path = code_output_path self.data_output_path = data_output_path def dump(self, model_output_dir): '''Return the file path\",\n \"'htm') def _png_to_html(self, png_path, html_path): with open(png_path, \\\"rb\\\") as f: encoded = base64.b64encode(f.read()).decode('utf-8')\",\n \"alt=\\\"Model Graph\\\" src=\\\"data:image/png;base64,{base64_str}\\\" /> </body> </html>\\\"\\\"\\\".format(base64_str=encoded) with open(html_path, 'w', encoding='utf-8') as f: f.write(source)\",\n \"'keras': self.target = target self.net = 'KerasNetwork' elif target == 'caffe': self.target =\",\n \"f.write(self.emit()) with open(data_output_path, 'wb') as f: np.save(f, self.data) return code_output_path, data_output_path def emit(self):\",\n \"name): return self.statement('class %s(%s):' % (name, self.net)) def emit_setup_def(self): return self.statement('def setup(self):') def\",\n \"<body> <img alt=\\\"Model Graph\\\" src=\\\"data:image/png;base64,{base64_str}\\\" /> </body> </html>\\\"\\\"\\\".format(base64_str=encoded) with open(html_path, 'w', encoding='utf-8') as\",\n \"elif self.toolkit == 'keras': from dlconv.keras.visualizer import KerasVisualizer png_path, html_path = (None, None)\",\n \"'\\\\n\\\\n'.join(blocks) return source class ModelSaver(object): def __init__(self, code_output_path, data_output_path): self.code_output_path = code_output_path self.data_output_path\",\n \"%s\\\\n' % (self.target, self.net)) def emit_class_def(self, name): return self.statement('class %s(%s):' % (name, self.net))\",\n \"= 'CaffeNetwork' else: raise ConversionError('Target %s is not supported yet.' % target) def\",\n \"os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name = get_upper_case(file_name) net = getattr(module, class_name) return net.dump(self.data_output_path,\",\n \"with open(data_output_path, 'wb') as f: np.save(f, self.data) return code_output_path, data_output_path def emit(self): #\",\n \"attach_to_chain = chain break if attach_to_chain is None: # Start a new chain\",\n \"self.prefix += self.tab def outdent(self): self.prefix = self.prefix[:-len(self.tab)] def statement(self, s): return self.prefix\",\n \"for node in chain: b += self.emit_node(node) blocks.append(b[:-1]) source += '\\\\n\\\\n'.join(blocks) return source\",\n \"self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format or %s is unsupported!' % graph_path) elif\",\n \"model files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name)\",\n \"%s is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else: raise\",\n \"a new chain for this node. attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate\",\n \"not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name = get_upper_case(file_name)\",\n \"parsed = json.loads(json_txt) formatted = json.dumps(parsed, indent=4, sort_keys=True) with open(json_path, 'w') as f:\",\n \"= graph_path elif self._is_web_page(graph_path): png_path = graph_path + \\\".png\\\" html_path = graph_path else:\",\n \"self.prefix + s + '\\\\n' def emit_imports(self): return self.statement('from dlconv.%s import %s\\\\n' %\",\n \"chains: b = '' for node in chain: b += self.emit_node(node) blocks.append(b[:-1]) source\",\n \"is part of an existing chain. attach_to_chain = chain break if attach_to_chain is\",\n \"open(json_path, 'w') as f: f.write(formatted) class PyWriter(object): '''Dumpt a DL graph into a\",\n \"+ \\\".png\\\" html_path = graph_path else: raise NotImplementedError('Image format or %s is unsupported!'\",\n \"DAG into chains chains = [] for node in self.graph.topologically_sorted(): attach_to_chain = None\",\n \"if len(node.input) == 1: parent = get_real_name(node.input[0]) for chain in chains: if chain[-1].name\",\n \"= self.prefix[:-len(self.tab)] def statement(self, s): return self.prefix + s + '\\\\n' def emit_imports(self):\",\n \"dump(self, graph_path): if self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path)\",\n \"'\\\\n' def emit_imports(self): return self.statement('from dlconv.%s import %s\\\\n' % (self.target, self.net)) def emit_class_def(self,\",\n \"= toolkit.lower() self.meta_path = meta_path def dump(self, graph_path): if self.toolkit == 'tensorflow': from\",\n \"import_module import json import numpy as np import os import sys from mmdnn.conversion.caffe.errors\",\n \"return code_output_path, data_output_path def emit(self): # Decompose DAG into chains chains = []\",\n \"import numpy as np import os import sys from mmdnn.conversion.caffe.errors import ConversionError from\",\n \"into chains chains = [] for node in self.graph.topologically_sorted(): attach_to_chain = None if\",\n \"for node in self.graph.topologically_sorted(): attach_to_chain = None if len(node.input) == 1: parent =\",\n \"self.target = target self.net = 'KerasNetwork' elif target == 'caffe': self.target = target\",\n \"target == 'keras': self.target = target self.net = 'KerasNetwork' elif target == 'caffe':\",\n \"KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else: raise NotImplementedError('Visualization of %s is unsupported!'\",\n \"the Python source for this node.''' def pair(key, value): return '%s=%s' % (key,\",\n \"raise ConversionError('Target %s is not supported yet.' % target) def indent(self): self.prefix +=\",\n \"== 'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format\",\n \"f: encoded = base64.b64encode(f.read()).decode('utf-8') source = \\\"\\\"\\\"<!DOCTYPE> <html> <head> <meta charset=\\\"utf-8\\\"> <title>Keras</title> </head>\",\n \"+= self.emit_node(node) blocks.append(b[:-1]) source += '\\\\n\\\\n'.join(blocks) return source class ModelSaver(object): def __init__(self, code_output_path,\",\n \"[node.output[0]] # output = node.output for k, v in node.attr: if k ==\",\n \"dlconv.%s import %s\\\\n' % (self.target, self.net)) def emit_class_def(self, name): return self.statement('class %s(%s):' %\",\n \"fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt a DL graph\",\n \"assert name in self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output = [node.output[0]] #\",\n \"+ \\\"'\\\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \\\"'\\\" + node.name + \\\"'\\\")) # Set\",\n \"pair(key, value): return '%s=%s' % (key, value) args = [] for input in\",\n \"', '.join(args) return self.statement('%s = self.%s(%s)' % (', '.join(output), node.op, args)) def dump(self,\",\n \"chain for this node. attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python code\",\n \"open(png_path, \\\"rb\\\") as f: encoded = base64.b64encode(f.read()).decode('utf-8') source = \\\"\\\"\\\"<!DOCTYPE> <html> <head> <meta\",\n \"attach_to_chain is None: # Start a new chain for this node. attach_to_chain =\",\n \"node.input: input = input.strip().split(':') name = ''.join(input[:-1]) idx = int(input[-1]) assert name in\",\n \"return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def __init__(self, toolkit, meta_path): self.toolkit = toolkit.lower() self.meta_path\",\n \"elif target == 'caffe': self.target = target self.net = 'CaffeNetwork' else: raise ConversionError('Target\",\n \"NotImplementedError('Image format or %s is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path)\",\n \"NotImplementedError('Visualization of %s is unsupported!' % self.toolkit) def _is_web_page(self, path): return path.split('.')[-1] in\",\n \"= data_output_path def dump(self, model_output_dir): '''Return the file path containing graph in generated\",\n \"fetch_attr_value(v) + \\\"'\\\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \\\"'\\\" + node.name + \\\"'\\\")) #\",\n \"node. attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python code line by line\",\n \"ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name class JsonFormatter(object):\",\n \"self.toolkit) def _is_web_page(self, path): return path.split('.')[-1] in ('html', 'htm') def _png_to_html(self, png_path, html_path):\",\n \"'w') as f: f.write(self.emit()) with open(data_output_path, 'wb') as f: np.save(f, self.data) return code_output_path,\",\n \"os.path.join(code_output_dir, file_name + '.py') data_output_path = os.path.join(code_output_dir, file_name + '.npy') with open(code_output_path, 'w')\",\n \"json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted = json.dumps(parsed, indent=4, sort_keys=True) with\",\n \"if k == 'cell_type': args.append(pair(k, \\\"'\\\" + fetch_attr_value(v) + \\\"'\\\")) else: args.append(pair(k, fetch_attr_value(v)))\",\n \"'wb') as f: np.save(f, self.data) return code_output_path, data_output_path def emit(self): # Decompose DAG\",\n \"_png_to_html(self, png_path, html_path): with open(png_path, \\\"rb\\\") as f: encoded = base64.b64encode(f.read()).decode('utf-8') source =\",\n \"png_path, html_path = (None, None) if graph_path.endswith('.png'): png_path = graph_path elif self._is_web_page(graph_path): png_path\",\n \"if attach_to_chain is None: # Start a new chain for this node. attach_to_chain\",\n \"path.split('.')[-1] in ('html', 'htm') def _png_to_html(self, png_path, html_path): with open(png_path, \\\"rb\\\") as f:\",\n \"graph_path else: raise NotImplementedError('Image format or %s is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if\",\n \"graph_path + \\\".png\\\" html_path = graph_path else: raise NotImplementedError('Image format or %s is\",\n \"fetch_attr_value(v))) args.append(pair('name', \\\"'\\\" + node.name + \\\"'\\\")) # Set the node name args\",\n \"self.emit_node(node) blocks.append(b[:-1]) source += '\\\\n\\\\n'.join(blocks) return source class ModelSaver(object): def __init__(self, code_output_path, data_output_path):\",\n \"self.target = target self.net = 'TensorFlowNetwork' elif target == 'keras': self.target = target\",\n \"if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name + '.py')\",\n \"= [node.output[0]] # output = node.output for k, v in node.attr: if k\",\n \"png_path = graph_path + \\\".png\\\" html_path = graph_path else: raise NotImplementedError('Image format or\",\n \"def emit_class_def(self, name): return self.statement('class %s(%s):' % (name, self.net)) def emit_setup_def(self): return self.statement('def\",\n \"chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python code line by line source = self.emit_imports() source\",\n \"= graph.as_graph_def() def dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted =\",\n \"TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format or %s is unsupported!' % graph_path) elif self.toolkit\",\n \"% (name, self.net)) def emit_setup_def(self): return self.statement('def setup(self):') def emit_node(self, node): '''Emits the\",\n \"for input in node.input: input = input.strip().split(':') name = ''.join(input[:-1]) idx = int(input[-1])\",\n \"'''Return the file path containing graph in generated model files.''' if not os.path.exists(model_output_dir):\",\n \"= None if len(node.input) == 1: parent = get_real_name(node.input[0]) for chain in chains:\",\n \"'caffe': self.target = target self.net = 'CaffeNetwork' else: raise ConversionError('Target %s is not\",\n \"graph_path.endswith('.png'): png_path = graph_path elif self._is_web_page(graph_path): png_path = graph_path + \\\".png\\\" html_path =\",\n \"emit_class_def(self, name): return self.statement('class %s(%s):' % (name, self.net)) def emit_setup_def(self): return self.statement('def setup(self):')\",\n \"GraphDrawer(object): def __init__(self, toolkit, meta_path): self.toolkit = toolkit.lower() self.meta_path = meta_path def dump(self,\",\n \"== 'keras': from dlconv.keras.visualizer import KerasVisualizer png_path, html_path = (None, None) if graph_path.endswith('.png'):\",\n \"mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt a\",\n \"source = self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def() self.indent() blocks =\",\n \"%s(%s):' % (name, self.net)) def emit_setup_def(self): return self.statement('def setup(self):') def emit_node(self, node): '''Emits\",\n \"# Decompose DAG into chains chains = [] for node in self.graph.topologically_sorted(): attach_to_chain\",\n \"self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output = [node.output[0]] # output = node.output for k, v\",\n \"1: parent = get_real_name(node.input[0]) for chain in chains: if chain[-1].name == parent: #\",\n \"(key, value) args = [] for input in node.input: input = input.strip().split(':') name\",\n \"html_path) os.remove(png_path) else: raise NotImplementedError('Visualization of %s is unsupported!' % self.toolkit) def _is_web_page(self,\",\n \"base64 from google.protobuf import json_format from importlib import import_module import json import numpy\",\n \"= input.strip().split(':') name = ''.join(input[:-1]) idx = int(input[-1]) assert name in self.graph.node_dict parent\",\n \"node.''' def pair(key, value): return '%s=%s' % (key, value) args = [] for\",\n \"= self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def() self.indent() blocks = []\",\n \"data_output_path): self.code_output_path = code_output_path self.data_output_path = data_output_path def dump(self, model_output_dir): '''Return the file\",\n \"part of an existing chain. attach_to_chain = chain break if attach_to_chain is None:\",\n \"= import_module(file_name) class_name = get_upper_case(file_name) net = getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir) class\",\n \"'''Emits the Python source for this node.''' def pair(key, value): return '%s=%s' %\",\n \"else: raise NotImplementedError('Image format or %s is unsupported!' % graph_path) elif self.toolkit ==\",\n \"raise NotImplementedError('Image format or %s is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path,\",\n \"Decompose DAG into chains chains = [] for node in self.graph.topologically_sorted(): attach_to_chain =\",\n \"module = import_module(file_name) class_name = get_upper_case(file_name) net = getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir)\",\n \"Json file.''' def __init__(self, graph): self.graph_def = graph.as_graph_def() def dump(self, json_path): json_txt =\",\n \"Python source for this node.''' def pair(key, value): return '%s=%s' % (key, value)\",\n \"Node is part of an existing chain. attach_to_chain = chain break if attach_to_chain\",\n \"+ fetch_attr_value(v) + \\\"'\\\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \\\"'\\\" + node.name + \\\"'\\\"))\",\n \"in node.attr: if k == 'cell_type': args.append(pair(k, \\\"'\\\" + fetch_attr_value(v) + \\\"'\\\")) else:\",\n \"self.toolkit == 'keras': from dlconv.keras.visualizer import KerasVisualizer png_path, html_path = (None, None) if\",\n \"json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted = json.dumps(parsed, indent=4, sort_keys=True) with open(json_path, 'w') as\",\n \"is None: # Start a new chain for this node. attach_to_chain = []\",\n \"<reponame>2yz/MMdnn import base64 from google.protobuf import json_format from importlib import import_module import json\",\n \"self.tab = ' ' * 4 self.prefix = '' target = target.lower() if\",\n \"new chain for this node. attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python\",\n \"is not supported yet.' % target) def indent(self): self.prefix += self.tab def outdent(self):\",\n \"in self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output = [node.output[0]] # output =\",\n \"class JsonFormatter(object): '''Dumpt a DL graph into a Json file.''' def __init__(self, graph):\",\n \"by line source = self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def() self.indent()\",\n \"getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def __init__(self, toolkit, meta_path): self.toolkit =\",\n \"html_path = (None, None) if graph_path.endswith('.png'): png_path = graph_path elif self._is_web_page(graph_path): png_path =\",\n \"'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format or\",\n \"# Set the node name args = ', '.join(args) return self.statement('%s = self.%s(%s)'\",\n \"args)) def dump(self, code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path =\",\n \"line source = self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def() self.indent() blocks\",\n \"supported yet.' % target) def indent(self): self.prefix += self.tab def outdent(self): self.prefix =\",\n \"% graph_path) elif self.toolkit == 'keras': from dlconv.keras.visualizer import KerasVisualizer png_path, html_path =\",\n \"def dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted = json.dumps(parsed, indent=4,\",\n \"def _is_web_page(self, path): return path.split('.')[-1] in ('html', 'htm') def _png_to_html(self, png_path, html_path): with\",\n \"'%s=%s' % (key, value) args = [] for input in node.input: input =\",\n \"in chain: b += self.emit_node(node) blocks.append(b[:-1]) source += '\\\\n\\\\n'.join(blocks) return source class ModelSaver(object):\",\n \"unsupported!' % graph_path) elif self.toolkit == 'keras': from dlconv.keras.visualizer import KerasVisualizer png_path, html_path\",\n \"in chains: b = '' for node in chain: b += self.emit_node(node) blocks.append(b[:-1])\",\n \"as np import os import sys from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import\",\n \"PyWriter(object): '''Dumpt a DL graph into a Python script.''' def __init__(self, graph, data,\",\n \"raise NotImplementedError('Visualization of %s is unsupported!' % self.toolkit) def _is_web_page(self, path): return path.split('.')[-1]\",\n \"self.net = 'CaffeNetwork' else: raise ConversionError('Target %s is not supported yet.' % target)\",\n \"\\\"'\\\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \\\"'\\\" + node.name + \\\"'\\\")) # Set the\",\n \"path containing graph in generated model files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name\",\n \"''.join(input[:-1]) idx = int(input[-1]) assert name in self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME:\",\n \"open(code_output_path, 'w') as f: f.write(self.emit()) with open(data_output_path, 'wb') as f: np.save(f, self.data) return\",\n \"get_real_name class JsonFormatter(object): '''Dumpt a DL graph into a Json file.''' def __init__(self,\",\n \"outdent(self): self.prefix = self.prefix[:-len(self.tab)] def statement(self, s): return self.prefix + s + '\\\\n'\",\n \"data_output_path def emit(self): # Decompose DAG into chains chains = [] for node\",\n \"emit_imports(self): return self.statement('from dlconv.%s import %s\\\\n' % (self.target, self.net)) def emit_class_def(self, name): return\",\n \"value) args = [] for input in node.input: input = input.strip().split(':') name =\",\n \"== 1: parent = get_real_name(node.input[0]) for chain in chains: if chain[-1].name == parent:\",\n \"formatted = json.dumps(parsed, indent=4, sort_keys=True) with open(json_path, 'w') as f: f.write(formatted) class PyWriter(object):\",\n \"sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name = get_upper_case(file_name) net = getattr(module,\",\n \"'KerasNetwork' elif target == 'caffe': self.target = target self.net = 'CaffeNetwork' else: raise\",\n \"get_lower_case, get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt a DL graph into a Json file.'''\",\n \"def dump(self, code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir,\",\n \"importlib import import_module import json import numpy as np import os import sys\",\n \"self.tab def outdent(self): self.prefix = self.prefix[:-len(self.tab)] def statement(self, s): return self.prefix + s\",\n \"name = ''.join(input[:-1]) idx = int(input[-1]) assert name in self.graph.node_dict parent = self.graph.get_node(name)\",\n \"f: f.write(formatted) class PyWriter(object): '''Dumpt a DL graph into a Python script.''' def\",\n \"= code_output_path self.data_output_path = data_output_path def dump(self, model_output_dir): '''Return the file path containing\",\n \"input in node.input: input = input.strip().split(':') name = ''.join(input[:-1]) idx = int(input[-1]) assert\",\n \"k, v in node.attr: if k == 'cell_type': args.append(pair(k, \\\"'\\\" + fetch_attr_value(v) +\",\n \"def _png_to_html(self, png_path, html_path): with open(png_path, \\\"rb\\\") as f: encoded = base64.b64encode(f.read()).decode('utf-8') source\",\n \"KerasVisualizer png_path, html_path = (None, None) if graph_path.endswith('.png'): png_path = graph_path elif self._is_web_page(graph_path):\",\n \"ConversionError('Target %s is not supported yet.' % target) def indent(self): self.prefix += self.tab\",\n \"attach_to_chain.append(node) # Generate Python code line by line source = self.emit_imports() source +=\",\n \"or %s is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else:\",\n \"in chains: if chain[-1].name == parent: # Node is part of an existing\",\n \"+ node.name + \\\"'\\\")) # Set the node name args = ', '.join(args)\",\n \"+= self.tab def outdent(self): self.prefix = self.prefix[:-len(self.tab)] def statement(self, s): return self.prefix +\",\n \"NotImplementedError('Image format or %s is unsupported!' % graph_path) elif self.toolkit == 'keras': from\",\n \"('html', 'htm') def _png_to_html(self, png_path, html_path): with open(png_path, \\\"rb\\\") as f: encoded =\",\n \"mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name\",\n \"% graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else: raise NotImplementedError('Visualization of %s\",\n \"<html> <head> <meta charset=\\\"utf-8\\\"> <title>Keras</title> </head> <body> <img alt=\\\"Model Graph\\\" src=\\\"data:image/png;base64,{base64_str}\\\" /> </body>\",\n \"== 'keras': self.target = target self.net = 'KerasNetwork' elif target == 'caffe': self.target\",\n \"def __init__(self, code_output_path, data_output_path): self.code_output_path = code_output_path self.data_output_path = data_output_path def dump(self, model_output_dir):\",\n \"'.join(output), node.op, args)) def dump(self, code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name)\",\n \"self.target = target self.net = 'CaffeNetwork' else: raise ConversionError('Target %s is not supported\",\n \"node.op, args)) def dump(self, code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path\",\n \"self.graph.topologically_sorted(): attach_to_chain = None if len(node.input) == 1: parent = get_real_name(node.input[0]) for chain\",\n \"line by line source = self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def()\",\n \"args = [] for input in node.input: input = input.strip().split(':') name = ''.join(input[:-1])\",\n \"node.name + \\\"'\\\")) # Set the node name args = ', '.join(args) return\",\n \"chain break if attach_to_chain is None: # Start a new chain for this\",\n \"emit(self): # Decompose DAG into chains chains = [] for node in self.graph.topologically_sorted():\",\n \"Python code line by line source = self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent() source\",\n \"self.graph_def = graph.as_graph_def() def dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted\",\n \"= base64.b64encode(f.read()).decode('utf-8') source = \\\"\\\"\\\"<!DOCTYPE> <html> <head> <meta charset=\\\"utf-8\\\"> <title>Keras</title> </head> <body> <img\",\n \"np.save(f, self.data) return code_output_path, data_output_path def emit(self): # Decompose DAG into chains chains\",\n \"= chain break if attach_to_chain is None: # Start a new chain for\",\n \"json_format from importlib import import_module import json import numpy as np import os\",\n \"class GraphDrawer(object): def __init__(self, toolkit, meta_path): self.toolkit = toolkit.lower() self.meta_path = meta_path def\",\n \"input.strip().split(':') name = ''.join(input[:-1]) idx = int(input[-1]) assert name in self.graph.node_dict parent =\",\n \"'.join(args) return self.statement('%s = self.%s(%s)' % (', '.join(output), node.op, args)) def dump(self, code_output_dir):\",\n \"json.dumps(parsed, indent=4, sort_keys=True) with open(json_path, 'w') as f: f.write(formatted) class PyWriter(object): '''Dumpt a\",\n \"meta_path): self.toolkit = toolkit.lower() self.meta_path = meta_path def dump(self, graph_path): if self.toolkit ==\",\n \"self.statement('from dlconv.%s import %s\\\\n' % (self.target, self.net)) def emit_class_def(self, name): return self.statement('class %s(%s):'\",\n \"+ '.npy') with open(code_output_path, 'w') as f: f.write(self.emit()) with open(data_output_path, 'wb') as f:\",\n \"\\\"'\\\" + fetch_attr_value(v) + \\\"'\\\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \\\"'\\\" + node.name +\",\n \"'''Dumpt a DL graph into a Json file.''' def __init__(self, graph): self.graph_def =\",\n \"open(data_output_path, 'wb') as f: np.save(f, self.data) return code_output_path, data_output_path def emit(self): # Decompose\",\n \"not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name + '.py') data_output_path\",\n \"target == 'caffe': self.target = target self.net = 'CaffeNetwork' else: raise ConversionError('Target %s\",\n \"return self.statement('def setup(self):') def emit_node(self, node): '''Emits the Python source for this node.'''\",\n \"file path containing graph in generated model files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path))\",\n \"class PyWriter(object): '''Dumpt a DL graph into a Python script.''' def __init__(self, graph,\",\n \"'.npy') with open(code_output_path, 'w') as f: f.write(self.emit()) with open(data_output_path, 'wb') as f: np.save(f,\",\n \"break if attach_to_chain is None: # Start a new chain for this node.\",\n \"source for this node.''' def pair(key, value): return '%s=%s' % (key, value) args\",\n \"setup(self):') def emit_node(self, node): '''Emits the Python source for this node.''' def pair(key,\",\n \"graph_path): if self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else:\",\n \"else: raise NotImplementedError('Image format or %s is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path:\",\n \"format or %s is unsupported!' % graph_path) elif self.toolkit == 'keras': from dlconv.keras.visualizer\",\n \"import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format or %s is unsupported!'\",\n \"model_output_dir) class GraphDrawer(object): def __init__(self, toolkit, meta_path): self.toolkit = toolkit.lower() self.meta_path = meta_path\",\n \"import os import sys from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from\",\n \"int(input[-1]) assert name in self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output = [node.output[0]]\",\n \"in node.input: input = input.strip().split(':') name = ''.join(input[:-1]) idx = int(input[-1]) assert name\",\n \"np import os import sys from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value\",\n \"for this node.''' def pair(key, value): return '%s=%s' % (key, value) args =\",\n \"f: f.write(self.emit()) with open(data_output_path, 'wb') as f: np.save(f, self.data) return code_output_path, data_output_path def\",\n \"None: # Start a new chain for this node. attach_to_chain = [] chains.append(attach_to_chain)\",\n \"get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt a DL graph into a Json file.''' def\",\n \"data_output_path = os.path.join(code_output_dir, file_name + '.npy') with open(code_output_path, 'w') as f: f.write(self.emit()) with\",\n \"<title>Keras</title> </head> <body> <img alt=\\\"Model Graph\\\" src=\\\"data:image/png;base64,{base64_str}\\\" /> </body> </html>\\\"\\\"\\\".format(base64_str=encoded) with open(html_path, 'w',\",\n \"a Python script.''' def __init__(self, graph, data, target): self.graph = graph self.data =\",\n \"% (', '.join(output), node.op, args)) def dump(self, code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name\",\n \"import json_format from importlib import import_module import json import numpy as np import\",\n \"mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt a DL graph into a\",\n \"import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name class\",\n \"= get_upper_case(file_name) net = getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def __init__(self,\",\n \"= [] for chain in chains: b = '' for node in chain:\",\n \"target.lower() if target == 'tensorflow': self.target = target self.net = 'TensorFlowNetwork' elif target\",\n \"graph_path) elif self.toolkit == 'keras': from dlconv.keras.visualizer import KerasVisualizer png_path, html_path = (None,\",\n \"import json import numpy as np import os import sys from mmdnn.conversion.caffe.errors import\",\n \"file_name + '.py') data_output_path = os.path.join(code_output_dir, file_name + '.npy') with open(code_output_path, 'w') as\",\n \"toolkit.lower() self.meta_path = meta_path def dump(self, graph_path): if self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer\",\n \"self._is_web_page(graph_path): png_path = graph_path + \\\".png\\\" html_path = graph_path else: raise NotImplementedError('Image format\",\n \"parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output = [node.output[0]] # output = node.output for\",\n \"== 'cell_type': args.append(pair(k, \\\"'\\\" + fetch_attr_value(v) + \\\"'\\\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \\\"'\\\"\",\n \"def emit(self): # Decompose DAG into chains chains = [] for node in\",\n \"import sys from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import\",\n \"chains = [] for node in self.graph.topologically_sorted(): attach_to_chain = None if len(node.input) ==\",\n \"source class ModelSaver(object): def __init__(self, code_output_path, data_output_path): self.code_output_path = code_output_path self.data_output_path = data_output_path\",\n \"self.emit_setup_def() self.indent() blocks = [] for chain in chains: b = '' for\",\n \"graph into a Json file.''' def __init__(self, graph): self.graph_def = graph.as_graph_def() def dump(self,\",\n \"else: raise NotImplementedError('Visualization of %s is unsupported!' % self.toolkit) def _is_web_page(self, path): return\",\n \"of %s is unsupported!' % self.toolkit) def _is_web_page(self, path): return path.split('.')[-1] in ('html',\",\n \"args.append(parent.output[idx]) #FIXME: output = [node.output[0]] # output = node.output for k, v in\",\n \"+ \\\"'\\\")) # Set the node name args = ', '.join(args) return self.statement('%s\",\n \"def statement(self, s): return self.prefix + s + '\\\\n' def emit_imports(self): return self.statement('from\",\n \"script.''' def __init__(self, graph, data, target): self.graph = graph self.data = data self.tab\",\n \"self.prefix = '' target = target.lower() if target == 'tensorflow': self.target = target\",\n \"self.net = 'TensorFlowNetwork' elif target == 'keras': self.target = target self.net = 'KerasNetwork'\",\n \"v in node.attr: if k == 'cell_type': args.append(pair(k, \\\"'\\\" + fetch_attr_value(v) + \\\"'\\\"))\",\n \"for this node. attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python code line\",\n \"%s is unsupported!' % self.toolkit) def _is_web_page(self, path): return path.split('.')[-1] in ('html', 'htm')\",\n \"def emit_node(self, node): '''Emits the Python source for this node.''' def pair(key, value):\",\n \"self.net = 'KerasNetwork' elif target == 'caffe': self.target = target self.net = 'CaffeNetwork'\",\n \"json.loads(json_txt) formatted = json.dumps(parsed, indent=4, sort_keys=True) with open(json_path, 'w') as f: f.write(formatted) class\",\n \"file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name = get_upper_case(file_name) net = getattr(module, class_name)\",\n \"return source class ModelSaver(object): def __init__(self, code_output_path, data_output_path): self.code_output_path = code_output_path self.data_output_path =\",\n \"= ' ' * 4 self.prefix = '' target = target.lower() if target\",\n \"return '%s=%s' % (key, value) args = [] for input in node.input: input\",\n \"(self.target, self.net)) def emit_class_def(self, name): return self.statement('class %s(%s):' % (name, self.net)) def emit_setup_def(self):\",\n \"import import_module import json import numpy as np import os import sys from\",\n \"def pair(key, value): return '%s=%s' % (key, value) args = [] for input\",\n \"idx = int(input[-1]) assert name in self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output\",\n \"code_output_path, data_output_path def emit(self): # Decompose DAG into chains chains = [] for\",\n \"'''Dumpt a DL graph into a Python script.''' def __init__(self, graph, data, target):\",\n \"args = ', '.join(args) return self.statement('%s = self.%s(%s)' % (', '.join(output), node.op, args))\",\n \"sort_keys=True) with open(json_path, 'w') as f: f.write(formatted) class PyWriter(object): '''Dumpt a DL graph\",\n \"[] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python code line by line source = self.emit_imports()\",\n \"files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name\",\n \"path): return path.split('.')[-1] in ('html', 'htm') def _png_to_html(self, png_path, html_path): with open(png_path, \\\"rb\\\")\",\n \"encoded = base64.b64encode(f.read()).decode('utf-8') source = \\\"\\\"\\\"<!DOCTYPE> <html> <head> <meta charset=\\\"utf-8\\\"> <title>Keras</title> </head> <body>\",\n \"os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name + '.py') data_output_path = os.path.join(code_output_dir,\",\n \"self.%s(%s)' % (', '.join(output), node.op, args)) def dump(self, code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir)\",\n \"get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name + '.py') data_output_path = os.path.join(code_output_dir, file_name + '.npy')\",\n \"numpy as np import os import sys from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph\",\n \"'keras': from dlconv.keras.visualizer import KerasVisualizer png_path, html_path = (None, None) if graph_path.endswith('.png'): png_path\",\n \"file_name = get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name + '.py') data_output_path = os.path.join(code_output_dir, file_name\",\n \"__init__(self, code_output_path, data_output_path): self.code_output_path = code_output_path self.data_output_path = data_output_path def dump(self, model_output_dir): '''Return\",\n \"ModelSaver(object): def __init__(self, code_output_path, data_output_path): self.code_output_path = code_output_path self.data_output_path = data_output_path def dump(self,\",\n \"name in self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output = [node.output[0]] # output\",\n \"import KerasVisualizer png_path, html_path = (None, None) if graph_path.endswith('.png'): png_path = graph_path elif\",\n \"net = getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def __init__(self, toolkit, meta_path):\",\n \"json import numpy as np import os import sys from mmdnn.conversion.caffe.errors import ConversionError\",\n \"(name, self.net)) def emit_setup_def(self): return self.statement('def setup(self):') def emit_node(self, node): '''Emits the Python\",\n \"target) def indent(self): self.prefix += self.tab def outdent(self): self.prefix = self.prefix[:-len(self.tab)] def statement(self,\",\n \"None) if graph_path.endswith('.png'): png_path = graph_path elif self._is_web_page(graph_path): png_path = graph_path + \\\".png\\\"\",\n \"args.append(pair('name', \\\"'\\\" + node.name + \\\"'\\\")) # Set the node name args =\",\n \"get_real_name(node.input[0]) for chain in chains: if chain[-1].name == parent: # Node is part\",\n \"= '' for node in chain: b += self.emit_node(node) blocks.append(b[:-1]) source += '\\\\n\\\\n'.join(blocks)\",\n \"chain. attach_to_chain = chain break if attach_to_chain is None: # Start a new\",\n \"from google.protobuf import json_format from importlib import import_module import json import numpy as\",\n \"os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name + '.py') data_output_path =\",\n \"self.toolkit = toolkit.lower() self.meta_path = meta_path def dump(self, graph_path): if self.toolkit == 'tensorflow':\",\n \"return self.statement('from dlconv.%s import %s\\\\n' % (self.target, self.net)) def emit_class_def(self, name): return self.statement('class\",\n \"elif self._is_web_page(graph_path): png_path = graph_path + \\\".png\\\" html_path = graph_path else: raise NotImplementedError('Image\",\n \"target self.net = 'TensorFlowNetwork' elif target == 'keras': self.target = target self.net =\",\n \"= 'TensorFlowNetwork' elif target == 'keras': self.target = target self.net = 'KerasNetwork' elif\",\n \"self.statement('def setup(self):') def emit_node(self, node): '''Emits the Python source for this node.''' def\",\n \"os.remove(png_path) else: raise NotImplementedError('Visualization of %s is unsupported!' % self.toolkit) def _is_web_page(self, path):\",\n \"% (self.target, self.net)) def emit_class_def(self, name): return self.statement('class %s(%s):' % (name, self.net)) def\",\n \"None if len(node.input) == 1: parent = get_real_name(node.input[0]) for chain in chains: if\",\n \"'cell_type': args.append(pair(k, \\\"'\\\" + fetch_attr_value(v) + \\\"'\\\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \\\"'\\\" +\",\n \"source = \\\"\\\"\\\"<!DOCTYPE> <html> <head> <meta charset=\\\"utf-8\\\"> <title>Keras</title> </head> <body> <img alt=\\\"Model Graph\\\"\",\n \"= json.loads(json_txt) formatted = json.dumps(parsed, indent=4, sort_keys=True) with open(json_path, 'w') as f: f.write(formatted)\",\n \"\\\"'\\\" + node.name + \\\"'\\\")) # Set the node name args = ',\",\n \"else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \\\"'\\\" + node.name + \\\"'\\\")) # Set the node\",\n \"self.data_output_path = data_output_path def dump(self, model_output_dir): '''Return the file path containing graph in\",\n \"self.prefix[:-len(self.tab)] def statement(self, s): return self.prefix + s + '\\\\n' def emit_imports(self): return\",\n \"node.output for k, v in node.attr: if k == 'cell_type': args.append(pair(k, \\\"'\\\" +\",\n \"\\\"'\\\")) # Set the node name args = ', '.join(args) return self.statement('%s =\",\n \"= graph self.data = data self.tab = ' ' * 4 self.prefix =\",\n \"self.statement('class %s(%s):' % (name, self.net)) def emit_setup_def(self): return self.statement('def setup(self):') def emit_node(self, node):\",\n \"data, target): self.graph = graph self.data = data self.tab = ' ' *\",\n \"dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format or %s is\",\n \"an existing chain. attach_to_chain = chain break if attach_to_chain is None: # Start\",\n \"class_name = get_upper_case(file_name) net = getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def\",\n \"# Node is part of an existing chain. attach_to_chain = chain break if\",\n \"code line by line source = self.emit_imports() source += self.emit_class_def(self.graph.name) self.indent() source +=\",\n \"the file path containing graph in generated model files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir)\",\n \"or %s is unsupported!' % graph_path) elif self.toolkit == 'keras': from dlconv.keras.visualizer import\",\n \"unsupported!' % self.toolkit) def _is_web_page(self, path): return path.split('.')[-1] in ('html', 'htm') def _png_to_html(self,\",\n \"attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node) # Generate Python code line by line source\",\n \"raise NotImplementedError('Image format or %s is unsupported!' % graph_path) elif self.toolkit == 'keras':\",\n \"for k, v in node.attr: if k == 'cell_type': args.append(pair(k, \\\"'\\\" + fetch_attr_value(v)\",\n \"'.py') data_output_path = os.path.join(code_output_dir, file_name + '.npy') with open(code_output_path, 'w') as f: f.write(self.emit())\",\n \"if chain[-1].name == parent: # Node is part of an existing chain. attach_to_chain\",\n \"_is_web_page(self, path): return path.split('.')[-1] in ('html', 'htm') def _png_to_html(self, png_path, html_path): with open(png_path,\",\n \"source += '\\\\n\\\\n'.join(blocks) return source class ModelSaver(object): def __init__(self, code_output_path, data_output_path): self.code_output_path =\",\n \"graph): self.graph_def = graph.as_graph_def() def dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt)\",\n \"indent=4, sort_keys=True) with open(json_path, 'w') as f: f.write(formatted) class PyWriter(object): '''Dumpt a DL\",\n \"\\\"rb\\\") as f: encoded = base64.b64encode(f.read()).decode('utf-8') source = \\\"\\\"\\\"<!DOCTYPE> <html> <head> <meta charset=\\\"utf-8\\\">\",\n \"= self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output = [node.output[0]] # output = node.output for k,\",\n \"import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt a DL\",\n \"else: raise ConversionError('Target %s is not supported yet.' % target) def indent(self): self.prefix\",\n \"self.net)) def emit_class_def(self, name): return self.statement('class %s(%s):' % (name, self.net)) def emit_setup_def(self): return\",\n \"chain[-1].name == parent: # Node is part of an existing chain. attach_to_chain =\",\n \"[] for chain in chains: b = '' for node in chain: b\",\n \"= (None, None) if graph_path.endswith('.png'): png_path = graph_path elif self._is_web_page(graph_path): png_path = graph_path\",\n \"blocks = [] for chain in chains: b = '' for node in\",\n \"from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_case, get_upper_case, get_real_name class JsonFormatter(object): '''Dumpt\",\n \"def __init__(self, toolkit, meta_path): self.toolkit = toolkit.lower() self.meta_path = meta_path def dump(self, graph_path):\",\n \"yet.' % target) def indent(self): self.prefix += self.tab def outdent(self): self.prefix = self.prefix[:-len(self.tab)]\",\n \"generated model files.''' if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module =\",\n \"if self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise\",\n \"is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else: raise NotImplementedError('Visualization\",\n \"html_path = graph_path else: raise NotImplementedError('Image format or %s is unsupported!' % graph_path)\",\n \"self.statement('%s = self.%s(%s)' % (', '.join(output), node.op, args)) def dump(self, code_output_dir): if not\",\n \"def __init__(self, graph, data, target): self.graph = graph self.data = data self.tab =\",\n \"dump(self, code_output_dir): if not os.path.exists(code_output_dir): os.makedirs(code_output_dir) file_name = get_lower_case(self.graph.name) code_output_path = os.path.join(code_output_dir, file_name\",\n \"code_output_path, data_output_path): self.code_output_path = code_output_path self.data_output_path = data_output_path def dump(self, model_output_dir): '''Return the\",\n \"self._png_to_html(png_path, html_path) os.remove(png_path) else: raise NotImplementedError('Visualization of %s is unsupported!' % self.toolkit) def\",\n \"def __init__(self, graph): self.graph_def = graph.as_graph_def() def dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def) parsed\",\n \"chains chains = [] for node in self.graph.topologically_sorted(): attach_to_chain = None if len(node.input)\",\n \"data self.tab = ' ' * 4 self.prefix = '' target = target.lower()\",\n \"value): return '%s=%s' % (key, value) args = [] for input in node.input:\",\n \"parent: # Node is part of an existing chain. attach_to_chain = chain break\",\n \"Python script.''' def __init__(self, graph, data, target): self.graph = graph self.data = data\",\n \"target = target.lower() if target == 'tensorflow': self.target = target self.net = 'TensorFlowNetwork'\",\n \"[] for input in node.input: input = input.strip().split(':') name = ''.join(input[:-1]) idx =\",\n \"with open(json_path, 'w') as f: f.write(formatted) class PyWriter(object): '''Dumpt a DL graph into\",\n \"' * 4 self.prefix = '' target = target.lower() if target == 'tensorflow':\",\n \"self.indent() source += self.emit_setup_def() self.indent() blocks = [] for chain in chains: b\",\n \"source += self.emit_setup_def() self.indent() blocks = [] for chain in chains: b =\",\n \"the node name args = ', '.join(args) return self.statement('%s = self.%s(%s)' % (',\",\n \"with open(code_output_path, 'w') as f: f.write(self.emit()) with open(data_output_path, 'wb') as f: np.save(f, self.data)\",\n \"= json_format.MessageToJson(self.graph_def) parsed = json.loads(json_txt) formatted = json.dumps(parsed, indent=4, sort_keys=True) with open(json_path, 'w')\",\n \"source += self.emit_class_def(self.graph.name) self.indent() source += self.emit_setup_def() self.indent() blocks = [] for chain\",\n \"\\\".png\\\" html_path = graph_path else: raise NotImplementedError('Image format or %s is unsupported!' %\",\n \"return self.statement('class %s(%s):' % (name, self.net)) def emit_setup_def(self): return self.statement('def setup(self):') def emit_node(self,\",\n \"= graph_path else: raise NotImplementedError('Image format or %s is unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path)\",\n \"# Start a new chain for this node. attach_to_chain = [] chains.append(attach_to_chain) attach_to_chain.append(node)\",\n \"__init__(self, toolkit, meta_path): self.toolkit = toolkit.lower() self.meta_path = meta_path def dump(self, graph_path): if\",\n \"of an existing chain. attach_to_chain = chain break if attach_to_chain is None: #\",\n \"+= '\\\\n\\\\n'.join(blocks) return source class ModelSaver(object): def __init__(self, code_output_path, data_output_path): self.code_output_path = code_output_path\",\n \"if self._is_web_page(graph_path): TensorFlowVisualizer(self.meta_path).dump_html(graph_path) else: raise NotImplementedError('Image format or %s is unsupported!' % graph_path)\",\n \"is unsupported!' % self.toolkit) def _is_web_page(self, path): return path.split('.')[-1] in ('html', 'htm') def\",\n \"= \\\"\\\"\\\"<!DOCTYPE> <html> <head> <meta charset=\\\"utf-8\\\"> <title>Keras</title> </head> <body> <img alt=\\\"Model Graph\\\" src=\\\"data:image/png;base64,{base64_str}\\\"\",\n \"'' target = target.lower() if target == 'tensorflow': self.target = target self.net =\",\n \"= os.path.join(code_output_dir, file_name + '.py') data_output_path = os.path.join(code_output_dir, file_name + '.npy') with open(code_output_path,\",\n \"meta_path def dump(self, graph_path): if self.toolkit == 'tensorflow': from dlconv.tensorflow.visualizer import TensorFlowVisualizer if\",\n \"into a Python script.''' def __init__(self, graph, data, target): self.graph = graph self.data\",\n \"import base64 from google.protobuf import json_format from importlib import import_module import json import\",\n \"b += self.emit_node(node) blocks.append(b[:-1]) source += '\\\\n\\\\n'.join(blocks) return source class ModelSaver(object): def __init__(self,\",\n \"args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \\\"'\\\" + node.name + \\\"'\\\")) # Set the node name\",\n \"for chain in chains: if chain[-1].name == parent: # Node is part of\",\n \"* 4 self.prefix = '' target = target.lower() if target == 'tensorflow': self.target\",\n \"# output = node.output for k, v in node.attr: if k == 'cell_type':\",\n \"= graph_path + \\\".png\\\" html_path = graph_path else: raise NotImplementedError('Image format or %s\",\n \"unsupported!' % graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else: raise NotImplementedError('Visualization of\",\n \"in ('html', 'htm') def _png_to_html(self, png_path, html_path): with open(png_path, \\\"rb\\\") as f: encoded\",\n \"import %s\\\\n' % (self.target, self.net)) def emit_class_def(self, name): return self.statement('class %s(%s):' % (name,\",\n \"get_upper_case(file_name) net = getattr(module, class_name) return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def __init__(self, toolkit,\",\n \"html_path): with open(png_path, \\\"rb\\\") as f: encoded = base64.b64encode(f.read()).decode('utf-8') source = \\\"\\\"\\\"<!DOCTYPE> <html>\",\n \"[] for node in self.graph.topologically_sorted(): attach_to_chain = None if len(node.input) == 1: parent\",\n \"a DL graph into a Python script.''' def __init__(self, graph, data, target): self.graph\",\n \"'TensorFlowNetwork' elif target == 'keras': self.target = target self.net = 'KerasNetwork' elif target\",\n \"(None, None) if graph_path.endswith('.png'): png_path = graph_path elif self._is_web_page(graph_path): png_path = graph_path +\",\n \"graph_path) KerasVisualizer(self.meta_path).dump_png(png_path) if html_path: self._png_to_html(png_path, html_path) os.remove(png_path) else: raise NotImplementedError('Visualization of %s is\",\n \"args.append(pair(k, \\\"'\\\" + fetch_attr_value(v) + \\\"'\\\")) else: args.append(pair(k, fetch_attr_value(v))) args.append(pair('name', \\\"'\\\" + node.name\",\n \"<meta charset=\\\"utf-8\\\"> <title>Keras</title> </head> <body> <img alt=\\\"Model Graph\\\" src=\\\"data:image/png;base64,{base64_str}\\\" /> </body> </html>\\\"\\\"\\\".format(base64_str=encoded) with\",\n \"as f: f.write(formatted) class PyWriter(object): '''Dumpt a DL graph into a Python script.'''\",\n \"f.write(formatted) class PyWriter(object): '''Dumpt a DL graph into a Python script.''' def __init__(self,\",\n \"os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name = get_upper_case(file_name) net =\",\n \"\\\"\\\"\\\"<!DOCTYPE> <html> <head> <meta charset=\\\"utf-8\\\"> <title>Keras</title> </head> <body> <img alt=\\\"Model Graph\\\" src=\\\"data:image/png;base64,{base64_str}\\\" />\",\n \"a Json file.''' def __init__(self, graph): self.graph_def = graph.as_graph_def() def dump(self, json_path): json_txt\",\n \"target self.net = 'CaffeNetwork' else: raise ConversionError('Target %s is not supported yet.' %\",\n \"self.graph.node_dict parent = self.graph.get_node(name) args.append(parent.output[idx]) #FIXME: output = [node.output[0]] # output = node.output\",\n \"if not os.path.exists(model_output_dir): os.makedirs(model_output_dir) sys.path.append(os.path.dirname(self.code_output_path)) file_name = os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name =\",\n \"def dump(self, model_output_dir): '''Return the file path containing graph in generated model files.'''\",\n \"name args = ', '.join(args) return self.statement('%s = self.%s(%s)' % (', '.join(output), node.op,\",\n \"def indent(self): self.prefix += self.tab def outdent(self): self.prefix = self.prefix[:-len(self.tab)] def statement(self, s):\",\n \"= data self.tab = ' ' * 4 self.prefix = '' target =\",\n \"class_name) return net.dump(self.data_output_path, model_output_dir) class GraphDrawer(object): def __init__(self, toolkit, meta_path): self.toolkit = toolkit.lower()\",\n \"file.''' def __init__(self, graph): self.graph_def = graph.as_graph_def() def dump(self, json_path): json_txt = json_format.MessageToJson(self.graph_def)\",\n \"attach_to_chain = None if len(node.input) == 1: parent = get_real_name(node.input[0]) for chain in\",\n \"= os.path.splitext(os.path.basename(self.code_output_path))[0] module = import_module(file_name) class_name = get_upper_case(file_name) net = getattr(module, class_name) return\"\n]","isConversational":false}}},{"rowIdx":1992,"cells":{"ngram":{"kind":"list like","value":["len(matrix) if rows == 0: return 0 columns = len(matrix[0]) res = 0","并返回其面积。 \"\"\" from typing import List class Solution: def maximalRectangle(self, matrix: List[List[str]]) ->","leetcode-85 给定一个仅包含 0 和 1 , 大小为 rows x cols 的二维二进制矩阵, 找出只包含 1","max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int]) -> int: #单调递增栈 heights = [-1] + heights","window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] + 1 window_R = i - 1",", 大小为 rows x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 \"\"\" from typing","res = 0 ascend_stack = [] for i in range(len(heights)): while ascend_stack and","= [0]*columns for r in range(rows): for c in range(columns): if matrix[r][c]==\"1\": heights[c]+=1","if matrix[r][c]==\"1\": heights[c]+=1 else: heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int]) ->","+ 1 window_R = i - 1 cur_area = window_L_height_min_height * (window_R -","heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] + 1 window_R =","Solution: def maximalRectangle(self, matrix: List[List[str]]) -> int: \"\"\" 统计直方图然后单调递增栈 \"\"\" rows = len(matrix)","0 heights = [0]*columns for r in range(rows): for c in range(columns): if","\"\"\" 统计直方图然后单调递增栈 \"\"\" rows = len(matrix) if rows == 0: return 0 columns","class Solution: def maximalRectangle(self, matrix: List[List[str]]) -> int: \"\"\" 统计直方图然后单调递增栈 \"\"\" rows =","统计直方图然后单调递增栈 \"\"\" rows = len(matrix) if rows == 0: return 0 columns =","+ [-1] res = 0 ascend_stack = [] for i in range(len(heights)): while","1 window_R = i - 1 cur_area = window_L_height_min_height * (window_R - window_L","0: return 0 columns = len(matrix[0]) res = 0 heights = [0]*columns for","1 cur_area = window_L_height_min_height * (window_R - window_L + 1) res = max(res,","from typing import List class Solution: def maximalRectangle(self, matrix: List[List[str]]) -> int: \"\"\"","else: heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int]) -> int: #单调递增栈 heights","== 0: return 0 columns = len(matrix[0]) res = 0 heights = [0]*columns","[-1] res = 0 ascend_stack = [] for i in range(len(heights)): while ascend_stack","给定一个仅包含 0 和 1 , 大小为 rows x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形,","= [] for i in range(len(heights)): while ascend_stack and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height","<gh_stars>0 \"\"\" leetcode-85 给定一个仅包含 0 和 1 , 大小为 rows x cols 的二维二进制矩阵,","window_L = ascend_stack[-1] + 1 window_R = i - 1 cur_area = window_L_height_min_height","range(columns): if matrix[r][c]==\"1\": heights[c]+=1 else: heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int])","import List class Solution: def maximalRectangle(self, matrix: List[List[str]]) -> int: \"\"\" 统计直方图然后单调递增栈 \"\"\"","for c in range(columns): if matrix[r][c]==\"1\": heights[c]+=1 else: heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def","1 , 大小为 rows x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 \"\"\" from","i in range(len(heights)): while ascend_stack and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L","* (window_R - window_L + 1) res = max(res, cur_area) ascend_stack.append(i) return res","x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 \"\"\" from typing import List class","ascend_stack and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] + 1","heights: List[int]) -> int: #单调递增栈 heights = [-1] + heights + [-1] res","heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] + 1 window_R = i -","rows = len(matrix) if rows == 0: return 0 columns = len(matrix[0]) res","= i - 1 cur_area = window_L_height_min_height * (window_R - window_L + 1)","heights = [-1] + heights + [-1] res = 0 ascend_stack = []","matrix[r][c]==\"1\": heights[c]+=1 else: heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int]) -> int:","res = 0 heights = [0]*columns for r in range(rows): for c in","= 0 heights = [0]*columns for r in range(rows): for c in range(columns):","\"\"\" leetcode-85 给定一个仅包含 0 和 1 , 大小为 rows x cols 的二维二进制矩阵, 找出只包含","matrix: List[List[str]]) -> int: \"\"\" 统计直方图然后单调递增栈 \"\"\" rows = len(matrix) if rows ==","= heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] + 1 window_R = i - 1 cur_area","= len(matrix[0]) res = 0 heights = [0]*columns for r in range(rows): for","[-1] + heights + [-1] res = 0 ascend_stack = [] for i","= window_L_height_min_height * (window_R - window_L + 1) res = max(res, cur_area) ascend_stack.append(i)","window_R = i - 1 cur_area = window_L_height_min_height * (window_R - window_L +","in range(len(heights)): while ascend_stack and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L =","> heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] + 1 window_R = i","= ascend_stack[-1] + 1 window_R = i - 1 cur_area = window_L_height_min_height *","\"\"\" rows = len(matrix) if rows == 0: return 0 columns = len(matrix[0])","if rows == 0: return 0 columns = len(matrix[0]) res = 0 heights","int: #单调递增栈 heights = [-1] + heights + [-1] res = 0 ascend_stack","= 0 ascend_stack = [] for i in range(len(heights)): while ascend_stack and heights[ascend_stack[-1]]","and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] + 1 window_R","maximalRectangle(self, matrix: List[List[str]]) -> int: \"\"\" 统计直方图然后单调递增栈 \"\"\" rows = len(matrix) if rows","= len(matrix) if rows == 0: return 0 columns = len(matrix[0]) res =","[0]*columns for r in range(rows): for c in range(columns): if matrix[r][c]==\"1\": heights[c]+=1 else:","r in range(rows): for c in range(columns): if matrix[r][c]==\"1\": heights[c]+=1 else: heights[c]=0 res","[] for i in range(len(heights)): while ascend_stack and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height =","cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 \"\"\" from typing import List class Solution:","largestRectangleArea(self, heights: List[int]) -> int: #单调递增栈 heights = [-1] + heights + [-1]","for i in range(len(heights)): while ascend_stack and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)]","while ascend_stack and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] +","- 1 cur_area = window_L_height_min_height * (window_R - window_L + 1) res =","-> int: \"\"\" 统计直方图然后单调递增栈 \"\"\" rows = len(matrix) if rows == 0: return","List[int]) -> int: #单调递增栈 heights = [-1] + heights + [-1] res =","的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 \"\"\" from typing import List class Solution: def","window_L_height_min_height * (window_R - window_L + 1) res = max(res, cur_area) ascend_stack.append(i) return","i - 1 cur_area = window_L_height_min_height * (window_R - window_L + 1) res","0 columns = len(matrix[0]) res = 0 heights = [0]*columns for r in","range(rows): for c in range(columns): if matrix[r][c]==\"1\": heights[c]+=1 else: heights[c]=0 res = max(res,self.largestRectangleArea(heights))","ascend_stack = [] for i in range(len(heights)): while ascend_stack and heights[ascend_stack[-1]] > heights[i]:","c in range(columns): if matrix[r][c]==\"1\": heights[c]+=1 else: heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self,","cur_area = window_L_height_min_height * (window_R - window_L + 1) res = max(res, cur_area)","= max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int]) -> int: #单调递增栈 heights = [-1] +","typing import List class Solution: def maximalRectangle(self, matrix: List[List[str]]) -> int: \"\"\" 统计直方图然后单调递增栈","rows == 0: return 0 columns = len(matrix[0]) res = 0 heights =","-> int: #单调递增栈 heights = [-1] + heights + [-1] res = 0","List class Solution: def maximalRectangle(self, matrix: List[List[str]]) -> int: \"\"\" 统计直方图然后单调递增栈 \"\"\" rows","columns = len(matrix[0]) res = 0 heights = [0]*columns for r in range(rows):","0 ascend_stack = [] for i in range(len(heights)): while ascend_stack and heights[ascend_stack[-1]] >","rows x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 \"\"\" from typing import List","List[List[str]]) -> int: \"\"\" 统计直方图然后单调递增栈 \"\"\" rows = len(matrix) if rows == 0:","+ heights + [-1] res = 0 ascend_stack = [] for i in","heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int]) -> int: #单调递增栈 heights =","return 0 columns = len(matrix[0]) res = 0 heights = [0]*columns for r","0 和 1 , 大小为 rows x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。","heights + [-1] res = 0 ascend_stack = [] for i in range(len(heights)):","ascend_stack[-1] + 1 window_R = i - 1 cur_area = window_L_height_min_height * (window_R","heights = [0]*columns for r in range(rows): for c in range(columns): if matrix[r][c]==\"1\":","heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] + 1 window_R = i - 1 cur_area =","= [-1] + heights + [-1] res = 0 ascend_stack = [] for","range(len(heights)): while ascend_stack and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1]","大小为 rows x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 \"\"\" from typing import","heights[c]+=1 else: heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int]) -> int: #单调递增栈","#单调递增栈 heights = [-1] + heights + [-1] res = 0 ascend_stack =","和 1 , 大小为 rows x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 \"\"\"","in range(columns): if matrix[r][c]==\"1\": heights[c]+=1 else: heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights:","def largestRectangleArea(self, heights: List[int]) -> int: #单调递增栈 heights = [-1] + heights +","def maximalRectangle(self, matrix: List[List[str]]) -> int: \"\"\" 统计直方图然后单调递增栈 \"\"\" rows = len(matrix) if","\"\"\" from typing import List class Solution: def maximalRectangle(self, matrix: List[List[str]]) -> int:","int: \"\"\" 统计直方图然后单调递增栈 \"\"\" rows = len(matrix) if rows == 0: return 0","for r in range(rows): for c in range(columns): if matrix[r][c]==\"1\": heights[c]+=1 else: heights[c]=0","的最大矩形, 并返回其面积。 \"\"\" from typing import List class Solution: def maximalRectangle(self, matrix: List[List[str]])","找出只包含 1 的最大矩形, 并返回其面积。 \"\"\" from typing import List class Solution: def maximalRectangle(self,","in range(rows): for c in range(columns): if matrix[r][c]==\"1\": heights[c]+=1 else: heights[c]=0 res =","1 的最大矩形, 并返回其面积。 \"\"\" from typing import List class Solution: def maximalRectangle(self, matrix:","res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int]) -> int: #单调递增栈 heights = [-1]","len(matrix[0]) res = 0 heights = [0]*columns for r in range(rows): for c"],"string":"[\n \"len(matrix) if rows == 0: return 0 columns = len(matrix[0]) res = 0\",\n \"并返回其面积。 \\\"\\\"\\\" from typing import List class Solution: def maximalRectangle(self, matrix: List[List[str]]) ->\",\n \"leetcode-85 给定一个仅包含 0 和 1 , 大小为 rows x cols 的二维二进制矩阵, 找出只包含 1\",\n \"max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int]) -> int: #单调递增栈 heights = [-1] + heights\",\n \"window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] + 1 window_R = i - 1\",\n \", 大小为 rows x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 \\\"\\\"\\\" from typing\",\n \"res = 0 ascend_stack = [] for i in range(len(heights)): while ascend_stack and\",\n \"= [0]*columns for r in range(rows): for c in range(columns): if matrix[r][c]==\\\"1\\\": heights[c]+=1\",\n \"if matrix[r][c]==\\\"1\\\": heights[c]+=1 else: heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int]) ->\",\n \"+ 1 window_R = i - 1 cur_area = window_L_height_min_height * (window_R -\",\n \"heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] + 1 window_R =\",\n \"Solution: def maximalRectangle(self, matrix: List[List[str]]) -> int: \\\"\\\"\\\" 统计直方图然后单调递增栈 \\\"\\\"\\\" rows = len(matrix)\",\n \"0 heights = [0]*columns for r in range(rows): for c in range(columns): if\",\n \"\\\"\\\"\\\" 统计直方图然后单调递增栈 \\\"\\\"\\\" rows = len(matrix) if rows == 0: return 0 columns\",\n \"class Solution: def maximalRectangle(self, matrix: List[List[str]]) -> int: \\\"\\\"\\\" 统计直方图然后单调递增栈 \\\"\\\"\\\" rows =\",\n \"统计直方图然后单调递增栈 \\\"\\\"\\\" rows = len(matrix) if rows == 0: return 0 columns =\",\n \"+ [-1] res = 0 ascend_stack = [] for i in range(len(heights)): while\",\n \"1 window_R = i - 1 cur_area = window_L_height_min_height * (window_R - window_L\",\n \"0: return 0 columns = len(matrix[0]) res = 0 heights = [0]*columns for\",\n \"1 cur_area = window_L_height_min_height * (window_R - window_L + 1) res = max(res,\",\n \"from typing import List class Solution: def maximalRectangle(self, matrix: List[List[str]]) -> int: \\\"\\\"\\\"\",\n \"else: heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int]) -> int: #单调递增栈 heights\",\n \"== 0: return 0 columns = len(matrix[0]) res = 0 heights = [0]*columns\",\n \"[-1] res = 0 ascend_stack = [] for i in range(len(heights)): while ascend_stack\",\n \"给定一个仅包含 0 和 1 , 大小为 rows x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形,\",\n \"= [] for i in range(len(heights)): while ascend_stack and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height\",\n \"<gh_stars>0 \\\"\\\"\\\" leetcode-85 给定一个仅包含 0 和 1 , 大小为 rows x cols 的二维二进制矩阵,\",\n \"window_L = ascend_stack[-1] + 1 window_R = i - 1 cur_area = window_L_height_min_height\",\n \"range(columns): if matrix[r][c]==\\\"1\\\": heights[c]+=1 else: heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int])\",\n \"import List class Solution: def maximalRectangle(self, matrix: List[List[str]]) -> int: \\\"\\\"\\\" 统计直方图然后单调递增栈 \\\"\\\"\\\"\",\n \"for c in range(columns): if matrix[r][c]==\\\"1\\\": heights[c]+=1 else: heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def\",\n \"1 , 大小为 rows x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 \\\"\\\"\\\" from\",\n \"i in range(len(heights)): while ascend_stack and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L\",\n \"* (window_R - window_L + 1) res = max(res, cur_area) ascend_stack.append(i) return res\",\n \"x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 \\\"\\\"\\\" from typing import List class\",\n \"ascend_stack and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] + 1\",\n \"heights: List[int]) -> int: #单调递增栈 heights = [-1] + heights + [-1] res\",\n \"heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] + 1 window_R = i -\",\n \"rows = len(matrix) if rows == 0: return 0 columns = len(matrix[0]) res\",\n \"= i - 1 cur_area = window_L_height_min_height * (window_R - window_L + 1)\",\n \"heights = [-1] + heights + [-1] res = 0 ascend_stack = []\",\n \"matrix[r][c]==\\\"1\\\": heights[c]+=1 else: heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int]) -> int:\",\n \"res = 0 heights = [0]*columns for r in range(rows): for c in\",\n \"= 0 heights = [0]*columns for r in range(rows): for c in range(columns):\",\n \"\\\"\\\"\\\" leetcode-85 给定一个仅包含 0 和 1 , 大小为 rows x cols 的二维二进制矩阵, 找出只包含\",\n \"matrix: List[List[str]]) -> int: \\\"\\\"\\\" 统计直方图然后单调递增栈 \\\"\\\"\\\" rows = len(matrix) if rows ==\",\n \"= heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] + 1 window_R = i - 1 cur_area\",\n \"= len(matrix[0]) res = 0 heights = [0]*columns for r in range(rows): for\",\n \"[-1] + heights + [-1] res = 0 ascend_stack = [] for i\",\n \"= window_L_height_min_height * (window_R - window_L + 1) res = max(res, cur_area) ascend_stack.append(i)\",\n \"window_R = i - 1 cur_area = window_L_height_min_height * (window_R - window_L +\",\n \"in range(len(heights)): while ascend_stack and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L =\",\n \"> heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] + 1 window_R = i\",\n \"= ascend_stack[-1] + 1 window_R = i - 1 cur_area = window_L_height_min_height *\",\n \"\\\"\\\"\\\" rows = len(matrix) if rows == 0: return 0 columns = len(matrix[0])\",\n \"if rows == 0: return 0 columns = len(matrix[0]) res = 0 heights\",\n \"int: #单调递增栈 heights = [-1] + heights + [-1] res = 0 ascend_stack\",\n \"= 0 ascend_stack = [] for i in range(len(heights)): while ascend_stack and heights[ascend_stack[-1]]\",\n \"and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] + 1 window_R\",\n \"maximalRectangle(self, matrix: List[List[str]]) -> int: \\\"\\\"\\\" 统计直方图然后单调递增栈 \\\"\\\"\\\" rows = len(matrix) if rows\",\n \"= len(matrix) if rows == 0: return 0 columns = len(matrix[0]) res =\",\n \"[0]*columns for r in range(rows): for c in range(columns): if matrix[r][c]==\\\"1\\\": heights[c]+=1 else:\",\n \"r in range(rows): for c in range(columns): if matrix[r][c]==\\\"1\\\": heights[c]+=1 else: heights[c]=0 res\",\n \"[] for i in range(len(heights)): while ascend_stack and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height =\",\n \"cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 \\\"\\\"\\\" from typing import List class Solution:\",\n \"largestRectangleArea(self, heights: List[int]) -> int: #单调递增栈 heights = [-1] + heights + [-1]\",\n \"for i in range(len(heights)): while ascend_stack and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)]\",\n \"while ascend_stack and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] +\",\n \"- 1 cur_area = window_L_height_min_height * (window_R - window_L + 1) res =\",\n \"-> int: \\\"\\\"\\\" 统计直方图然后单调递增栈 \\\"\\\"\\\" rows = len(matrix) if rows == 0: return\",\n \"List[int]) -> int: #单调递增栈 heights = [-1] + heights + [-1] res =\",\n \"的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 \\\"\\\"\\\" from typing import List class Solution: def\",\n \"window_L_height_min_height * (window_R - window_L + 1) res = max(res, cur_area) ascend_stack.append(i) return\",\n \"i - 1 cur_area = window_L_height_min_height * (window_R - window_L + 1) res\",\n \"0 columns = len(matrix[0]) res = 0 heights = [0]*columns for r in\",\n \"range(rows): for c in range(columns): if matrix[r][c]==\\\"1\\\": heights[c]+=1 else: heights[c]=0 res = max(res,self.largestRectangleArea(heights))\",\n \"ascend_stack = [] for i in range(len(heights)): while ascend_stack and heights[ascend_stack[-1]] > heights[i]:\",\n \"c in range(columns): if matrix[r][c]==\\\"1\\\": heights[c]+=1 else: heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self,\",\n \"cur_area = window_L_height_min_height * (window_R - window_L + 1) res = max(res, cur_area)\",\n \"= max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int]) -> int: #单调递增栈 heights = [-1] +\",\n \"typing import List class Solution: def maximalRectangle(self, matrix: List[List[str]]) -> int: \\\"\\\"\\\" 统计直方图然后单调递增栈\",\n \"rows == 0: return 0 columns = len(matrix[0]) res = 0 heights =\",\n \"-> int: #单调递增栈 heights = [-1] + heights + [-1] res = 0\",\n \"List class Solution: def maximalRectangle(self, matrix: List[List[str]]) -> int: \\\"\\\"\\\" 统计直方图然后单调递增栈 \\\"\\\"\\\" rows\",\n \"columns = len(matrix[0]) res = 0 heights = [0]*columns for r in range(rows):\",\n \"0 ascend_stack = [] for i in range(len(heights)): while ascend_stack and heights[ascend_stack[-1]] >\",\n \"rows x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 \\\"\\\"\\\" from typing import List\",\n \"List[List[str]]) -> int: \\\"\\\"\\\" 统计直方图然后单调递增栈 \\\"\\\"\\\" rows = len(matrix) if rows == 0:\",\n \"+ heights + [-1] res = 0 ascend_stack = [] for i in\",\n \"heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int]) -> int: #单调递增栈 heights =\",\n \"return 0 columns = len(matrix[0]) res = 0 heights = [0]*columns for r\",\n \"0 和 1 , 大小为 rows x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。\",\n \"heights + [-1] res = 0 ascend_stack = [] for i in range(len(heights)):\",\n \"ascend_stack[-1] + 1 window_R = i - 1 cur_area = window_L_height_min_height * (window_R\",\n \"heights = [0]*columns for r in range(rows): for c in range(columns): if matrix[r][c]==\\\"1\\\":\",\n \"heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1] + 1 window_R = i - 1 cur_area =\",\n \"= [-1] + heights + [-1] res = 0 ascend_stack = [] for\",\n \"range(len(heights)): while ascend_stack and heights[ascend_stack[-1]] > heights[i]: window_L_height_min_height = heights[ascend_stack.pop(-1)] window_L = ascend_stack[-1]\",\n \"大小为 rows x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 \\\"\\\"\\\" from typing import\",\n \"heights[c]+=1 else: heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int]) -> int: #单调递增栈\",\n \"#单调递增栈 heights = [-1] + heights + [-1] res = 0 ascend_stack =\",\n \"和 1 , 大小为 rows x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 \\\"\\\"\\\"\",\n \"in range(columns): if matrix[r][c]==\\\"1\\\": heights[c]+=1 else: heights[c]=0 res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights:\",\n \"def largestRectangleArea(self, heights: List[int]) -> int: #单调递增栈 heights = [-1] + heights +\",\n \"def maximalRectangle(self, matrix: List[List[str]]) -> int: \\\"\\\"\\\" 统计直方图然后单调递增栈 \\\"\\\"\\\" rows = len(matrix) if\",\n \"\\\"\\\"\\\" from typing import List class Solution: def maximalRectangle(self, matrix: List[List[str]]) -> int:\",\n \"int: \\\"\\\"\\\" 统计直方图然后单调递增栈 \\\"\\\"\\\" rows = len(matrix) if rows == 0: return 0\",\n \"for r in range(rows): for c in range(columns): if matrix[r][c]==\\\"1\\\": heights[c]+=1 else: heights[c]=0\",\n \"的最大矩形, 并返回其面积。 \\\"\\\"\\\" from typing import List class Solution: def maximalRectangle(self, matrix: List[List[str]])\",\n \"找出只包含 1 的最大矩形, 并返回其面积。 \\\"\\\"\\\" from typing import List class Solution: def maximalRectangle(self,\",\n \"in range(rows): for c in range(columns): if matrix[r][c]==\\\"1\\\": heights[c]+=1 else: heights[c]=0 res =\",\n \"1 的最大矩形, 并返回其面积。 \\\"\\\"\\\" from typing import List class Solution: def maximalRectangle(self, matrix:\",\n \"res = max(res,self.largestRectangleArea(heights)) def largestRectangleArea(self, heights: List[int]) -> int: #单调递增栈 heights = [-1]\",\n \"len(matrix[0]) res = 0 heights = [0]*columns for r in range(rows): for c\"\n]","isConversational":false}}},{"rowIdx":1993,"cells":{"ngram":{"kind":"list like","value":["< 1e-3 # check and assert result def test_get_costs(): \"\"\" Testing a very","(IEE), Kassel. All rights reserved. import numpy as np import pytest from pandapower.optimal_powerflow","def test_get_costs(): \"\"\" Testing a very simple network for the resulting cost value","assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load(): \"\"\" Testing a","def test_cost_piecewise_linear_load(): \"\"\" Testing a very simple network for the resulting cost value","name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -200],","-*- coding: utf-8 -*- # Copyright (c) 2016-2018 by University of Kassel and","0.95 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max,","* 690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -300], [0, 0]])) # run OPF pp.runopp(net,","- net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \"\"\" Testing a very simple","\"\"\" Testing a very simple network for the resulting cost value constraints with","np.array([[-150, -300], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost","net[\"OPF_converged\"] assert net.res_cost == 2 * net.res_gen.p_kw.values # check and assert result def","0, \"load\", np.array([[0, 0], [75, 51], [150, 101]])) # run OPF with pytest.raises(OPFNotConverged):","pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -200], [-75, -50], [0, 0]])) # run OPF pp.runopp(net,","pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True,","[150, 100]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values","test_cost_piecewise_linear_gen(): \"\"\" Testing a very simple network for the resulting cost value constraints","boundaries: vm_max = 1.05 vm_min = 0.95 # create net net = pp.create_empty_network()","0.5 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max,","Kassel. All rights reserved. import numpy as np import pytest from pandapower.optimal_powerflow import","pplog as logging except ImportError: import logging logger = logging.getLogger(__name__) logger.setLevel(\"DEBUG\") def test_cost_piecewise_linear_gen():","net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1,","Institute for Energy Economics # and Energy System Technology (IEE), Kassel. All rights","University of Kassel and Fraunhofer Institute for Energy Economics # and Energy System","OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - net.res_gen.p_kw.values / 1.5 < 1e-3","pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20,","100]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values /","\"load\", np.array([[0, 0], [75, 51], [150, 101]])) # run OPF with pytest.raises(OPFNotConverged): pp.runopp(net,","controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0,","min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\", r_ohm_per_km=0.876,","Energy System Technology (IEE), Kassel. All rights reserved. import numpy as np import","c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0, 0], [75, 50],","np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"]","max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0, 0], [75, 51], [150, 101]])) #","690) pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0, 0], [75, 50], [150, 100]])) # run OPF","= pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000,","utf-8 -*- # Copyright (c) 2016-2018 by University of Kassel and Fraunhofer Institute","max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"ext_grid\", np.array([[-50, -500], [0, 0]])) # run OPF","\"gen\", np.array([[-150, -300], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert","pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50,","run OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values /","create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4)","net.res_gen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_eg(): \"\"\" Testing a very simple network","2 * net.res_gen.p_kw.values # check and assert result def test_cost_piecewise_linear_sgen(): \"\"\" Testing a","# create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min,","c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -100], [-75, -50],","< 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \"\"\" Testing a very simple network for the resulting","vm_max = 1.5 vm_min = 0.5 # create net net = pp.create_empty_network() pp.create_bus(net,","x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"ext_grid\", np.array([[-50, -500], [0, 0]])) # run","min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10,","0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - net.res_sgen.p_kw.values /","max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -300], [0, 0]])) #","< 1e-3 def test_cost_piecewise_linear_load(): \"\"\" Testing a very simple network for the resulting","pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net,","* 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run","try: import pplog as logging except ImportError: import logging logger = logging.getLogger(__name__) logger.setLevel(\"DEBUG\")","def test_cost_piecewise_linear_sgen(): \"\"\" Testing a very simple network for the resulting cost value","min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50,","max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876,","0, \"load\", np.array([[0, 0], [75, 50], [150, 100]])) # run OPF pp.runopp(net, verbose=False)","c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-1500, 2],[-750,1 ], [0,2]]))","max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0)","max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0,","abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \"\"\" Testing a very","net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \"\"\" Testing a very simple network","Economics # and Energy System Technology (IEE), Kassel. All rights reserved. import numpy","50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-1500,","assert net[\"OPF_converged\"] assert net.res_cost - net.res_gen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_eg(): \"\"\"","# run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - net.res_gen.p_kw.values / 1.5","min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0,","- net.res_sgen.p_kw.values / 1.5 < 1e-3 if __name__ == \"__main__\": # test_cost_piecewise_linear_sgen_very_unsteady_slopes() pytest.main([\"test_costs_pwl.py\",","* net.res_gen.p_kw.values # check and assert result def test_cost_piecewise_linear_sgen(): \"\"\" Testing a very","name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -100],","controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0,","* 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-1500, 2],[-750,1 ], [0,2]])) # run OPF pp.runopp(net,","cost value constraints with OPF \"\"\" # boundaries: vm_max = 1.05 vm_min =","< 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \"\"\" Testing a very simple network for the resulting","Testing a very simple network for the resulting cost value constraints with OPF","1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1, 50,","max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -100], [-75, -50], [0,","min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50,","run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - - net.res_ext_grid.p_kw.values * 10","# pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\", r_ohm_per_km=0.876,","r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0, 0], [75,","* 690) pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0, 0], [75, 51], [150, 101]])) # run","result def test_get_costs(): \"\"\" Testing a very simple network for the resulting cost","50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"ext_grid\", np.array([[-50,","net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1,","the resulting cost value constraints with OPF \"\"\" # boundaries: vm_max = 1.5","- net.res_gen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_eg(): \"\"\" Testing a very simple","max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1,","simple network for the resulting cost value constraints with OPF \"\"\" # boundaries:","verbose=False) assert net[\"OPF_converged\"] assert net.res_cost == 2 * net.res_gen.p_kw.values # check and assert","constraints with OPF \"\"\" # boundaries: vm_max = 1.05 vm_min = 0.95 #","# run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5)","pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1,","2],[-750,1 ], [0,2]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] # assert net.res_cost","[0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - net.res_gen.p_kw.values","/ 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \"\"\" Testing a very simple network for","vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0,","pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net,","= 1.5 vm_min = 0.5 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max,","vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50)","def test_cost_piecewise_linear_sgen_uneven_slopes(): \"\"\" Testing a very simple network for the resulting cost value","max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150,","x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-1500, 2],[-750,1 ], [0,2]])) # run","very simple network for the resulting cost value constraints with OPF \"\"\" #","verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes():","690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF","/ 1.5 < 1e-3 def test_cost_piecewise_linear_load(): \"\"\" Testing a very simple network for","\"sgen\", np.array([[-1500, 2],[-750,1 ], [0,2]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] #","690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -300], [0, 0]])) # run OPF pp.runopp(net, verbose=False)","check and assert result def test_get_costs(): \"\"\" Testing a very simple network for","], [0,2]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] # assert net.res_cost -","and Fraunhofer Institute for Energy Economics # and Energy System Technology (IEE), Kassel.","0, \"sgen\", np.array([[-150, -200], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False)","net[\"OPF_converged\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load(): \"\"\" Testing","vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net,","net.res_sgen.p_kw.values / 1.5 < 1e-3 if __name__ == \"__main__\": # test_cost_piecewise_linear_sgen_very_unsteady_slopes() pytest.main([\"test_costs_pwl.py\", \"-s\"])","net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net,","[0,2]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] # assert net.res_cost - net.res_sgen.p_kw.values","pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net,","import pandapower as pp try: import pplog as logging except ImportError: import logging","/ 1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \"\"\" Testing a very simple network for","1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \"\"\" Testing a very simple network for the","pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net,","the resulting cost value constraints with OPF \"\"\" # boundaries: vm_max = 1.05","assert net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \"\"\"","1e-3 def test_cost_piecewise_linear_eg(): \"\"\" Testing a very simple network for the resulting cost","with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) <","- net.res_ext_grid.p_kw.values * 10 < 1e-3 # check and assert result def test_get_costs():","p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0,","max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0)","-200], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert","pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3","def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \"\"\" Testing a very simple network for the resulting cost value","* 10 < 1e-3 # check and assert result def test_get_costs(): \"\"\" Testing","r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-1500, 2],[-750,1 ],","max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150,","c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -200], [-75, -50],","OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5)","ImportError: import logging logger = logging.getLogger(__name__) logger.setLevel(\"DEBUG\") def test_cost_piecewise_linear_gen(): \"\"\" Testing a very","c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -300], [0, 0]]))","[75, 51], [150, 101]])) # run OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\"OPF_converged\"]","Kassel and Fraunhofer Institute for Energy Economics # and Energy System Technology (IEE),","import pytest from pandapower.optimal_powerflow import OPFNotConverged import pandapower as pp try: import pplog","51], [150, 101]])) # run OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert","pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - net.res_gen.p_kw.values / 1.5 < 1e-3 def","0, 1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0,","1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False)","\"\"\" # boundaries: vm_max = 1.05 vm_min = 0.95 # create net net","verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes():","# run OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values","vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0)","50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0,","max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50,","* 690) pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0, 0], [75, 50], [150, 100]])) # run","for Energy Economics # and Energy System Technology (IEE), Kassel. All rights reserved.","x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0, 0], [75, 50], [150, 100]]))","1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \"\"\" Testing a very simple network for the resulting cost","assert net.res_cost == 2 * net.res_gen.p_kw.values # check and assert result def test_cost_piecewise_linear_sgen():","np.array([[0, 0], [75, 51], [150, 101]])) # run OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False)","pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876,","pp.create_piecewise_linear_cost(net, 0, \"ext_grid\", np.array([[-50, -500], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert","net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1,","1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100","-300], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost ==","verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes():","vm_min = 0.95 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.)","test_cost_piecewise_linear_sgen_uneven_slopes(): \"\"\" Testing a very simple network for the resulting cost value constraints","net.res_cost - net.res_gen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_eg(): \"\"\" Testing a very","vm_min = 0.5 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.)","max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-1500, 2],[-750,1 ], [0,2]])) #","min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50,","pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def","resulting cost value constraints with OPF \"\"\" # boundaries: vm_max = 1.05 vm_min","except ImportError: import logging logger = logging.getLogger(__name__) logger.setLevel(\"DEBUG\") def test_cost_piecewise_linear_gen(): \"\"\" Testing a","max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0)","min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net,","def test_cost_piecewise_linear_gen(): \"\"\" Testing a very simple network for the resulting cost value","test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \"\"\" Testing a very simple network for the resulting cost value constraints","max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -100], [-75, -50], [0, 0]])) #","run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 <","with OPF \"\"\" # boundaries: vm_max = 1.05 vm_min = 0.95 # create","resulting cost value constraints with OPF \"\"\" # boundaries: vm_max = 1.5 vm_min","Technology (IEE), Kassel. All rights reserved. import numpy as np import pytest from","min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50,","[0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - net.res_sgen.p_kw.values","x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0, 0], [75, 51], [150, 101]]))","1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \"\"\" Testing a very simple network for the resulting cost","690) pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0, 0], [75, 51], [150, 101]])) # run OPF","pp try: import pplog as logging except ImportError: import logging logger = logging.getLogger(__name__)","name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -300],","System Technology (IEE), Kassel. All rights reserved. import numpy as np import pytest","x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -300], [0, 0]])) # run","net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net,","-*- # Copyright (c) 2016-2018 by University of Kassel and Fraunhofer Institute for","min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net,","pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20,","pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] # assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3","value constraints with OPF \"\"\" # boundaries: vm_max = 1.5 vm_min = 0.5","690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF","assert net[\"OPF_converged\"] # assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 if __name__","boundaries: vm_max = 1.5 vm_min = 0.5 # create net net = pp.create_empty_network()","max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -200], [-75, -50], [0,","OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - - net.res_ext_grid.p_kw.values * 10 <","p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\",","< 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \"\"\" Testing a very simple network for the resulting","pytest from pandapower.optimal_powerflow import OPFNotConverged import pandapower as pp try: import pplog as","min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50,","OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3","0, \"sgen\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False)","test_cost_piecewise_linear_load(): \"\"\" Testing a very simple network for the resulting cost value constraints","assert net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \"\"\"","and Energy System Technology (IEE), Kassel. All rights reserved. import numpy as np","max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net, 1,","name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0, 0],","max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0, 0], [75, 51], [150,","(c) 2016-2018 by University of Kassel and Fraunhofer Institute for Energy Economics #","-100], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert","== 2 * net.res_gen.p_kw.values # check and assert result def test_cost_piecewise_linear_sgen(): \"\"\" Testing","# run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5","pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def","min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net,","min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50,","\"load\", np.array([[0, 0], [75, 50], [150, 100]])) # run OPF pp.runopp(net, verbose=False) assert","import OPFNotConverged import pandapower as pp try: import pplog as logging except ImportError:","1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False)","0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost == 2 *","pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -300], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert","max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True)","test_get_costs(): \"\"\" Testing a very simple network for the resulting cost value constraints","pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 *","min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100","Fraunhofer Institute for Energy Economics # and Energy System Technology (IEE), Kassel. All","assert net[\"OPF_converged\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \"\"\"","min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123,","net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load(): \"\"\" Testing a very","# Copyright (c) 2016-2018 by University of Kassel and Fraunhofer Institute for Energy","test_cost_piecewise_linear_eg(): \"\"\" Testing a very simple network for the resulting cost value constraints","net[\"OPF_converged\"] assert net.res_cost - - net.res_ext_grid.p_kw.values * 10 < 1e-3 # check and","# run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost == 2 * net.res_gen.p_kw.values","assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \"\"\" Testing a","net.res_cost == 2 * net.res_gen.p_kw.values # check and assert result def test_cost_piecewise_linear_sgen(): \"\"\"","net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net,","OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost == 2 * net.res_gen.p_kw.values # check","0) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690)","1.05 vm_min = 0.95 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min,","< 1e-3 def test_cost_piecewise_linear_eg(): \"\"\" Testing a very simple network for the resulting","verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - net.res_gen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_eg():","pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True,","1.5 < 1e-3 def test_cost_piecewise_linear_eg(): \"\"\" Testing a very simple network for the","np.array([[-1500, 2],[-750,1 ], [0,2]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] # assert","import pplog as logging except ImportError: import logging logger = logging.getLogger(__name__) logger.setLevel(\"DEBUG\") def","50], [150, 100]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost -","test_cost_piecewise_linear_sgen(): \"\"\" Testing a very simple network for the resulting cost value constraints","of Kassel and Fraunhofer Institute for Energy Economics # and Energy System Technology","c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0, 0], [75, 51],","= pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100,","# check and assert result def test_cost_piecewise_linear_sgen(): \"\"\" Testing a very simple network","[75, 50], [150, 100]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost","p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 *","name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"ext_grid\", np.array([[-50, -500],","assert net[\"OPF_converged\"] assert net.res_cost == 2 * net.res_gen.p_kw.values # check and assert result","r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -300], [0,","run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) <","name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-1500, 2],[-750,1","min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net,","All rights reserved. import numpy as np import pytest from pandapower.optimal_powerflow import OPFNotConverged","max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0, 0], [75, 50], [150, 100]])) #","net.res_gen.p_kw.values # check and assert result def test_cost_piecewise_linear_sgen(): \"\"\" Testing a very simple","[150, 101]])) # run OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost","controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690)","net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \"\"\" Testing","Copyright (c) 2016-2018 by University of Kassel and Fraunhofer Institute for Energy Economics","- net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load(): \"\"\" Testing a very simple","\"\"\" # boundaries: vm_max = 1.5 vm_min = 0.5 # create net net","max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\",","0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - - net.res_ext_grid.p_kw.values","= 1.05 vm_min = 0.95 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max,","max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1,","x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -100], [-75, -50], [0, 0]]))","# boundaries: vm_max = 1.05 vm_min = 0.95 # create net net =","numpy as np import pytest from pandapower.optimal_powerflow import OPFNotConverged import pandapower as pp","net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \"\"\" Testing a very","max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500,","logging.getLogger(__name__) logger.setLevel(\"DEBUG\") def test_cost_piecewise_linear_gen(): \"\"\" Testing a very simple network for the resulting","net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load(): \"\"\" Testing a very simple network","import logging logger = logging.getLogger(__name__) logger.setLevel(\"DEBUG\") def test_cost_piecewise_linear_gen(): \"\"\" Testing a very simple","OPF \"\"\" # boundaries: vm_max = 1.5 vm_min = 0.5 # create net","logging logger = logging.getLogger(__name__) logger.setLevel(\"DEBUG\") def test_cost_piecewise_linear_gen(): \"\"\" Testing a very simple network","50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150,","assert net.res_cost - - net.res_ext_grid.p_kw.values * 10 < 1e-3 # check and assert","# run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] # assert net.res_cost - net.res_sgen.p_kw.values /","assert result def test_cost_piecewise_linear_sgen(): \"\"\" Testing a very simple network for the resulting","\"gen\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert","vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0,","1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \"\"\" Testing a very simple network for the","pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True,","pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - - net.res_ext_grid.p_kw.values * 10 < 1e-3","# check and assert result def test_get_costs(): \"\"\" Testing a very simple network","pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF pp.runopp(net,","rights reserved. import numpy as np import pytest from pandapower.optimal_powerflow import OPFNotConverged import","= pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100,","a very simple network for the resulting cost value constraints with OPF \"\"\"","690) pp.create_piecewise_linear_cost(net, 0, \"ext_grid\", np.array([[-50, -500], [0, 0]])) # run OPF pp.runopp(net, verbose=False)","1.5 vm_min = 0.5 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min,","and assert result def test_get_costs(): \"\"\" Testing a very simple network for the","/ 1.5 < 1e-3 def test_cost_piecewise_linear_eg(): \"\"\" Testing a very simple network for","<reponame>mathildebadoual/pandapower # -*- coding: utf-8 -*- # Copyright (c) 2016-2018 by University of","0, \"sgen\", np.array([[-1500, 2],[-750,1 ], [0,2]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"]","net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \"\"\" Testing a very simple network","\"ext_grid\", np.array([[-50, -500], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert","max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -100], [-75, -50], [0,","controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\",","-500], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost -","max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0)","OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] # assert net.res_cost - net.res_sgen.p_kw.values / 1.5 <","as logging except ImportError: import logging logger = logging.getLogger(__name__) logger.setLevel(\"DEBUG\") def test_cost_piecewise_linear_gen(): \"\"\"","max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1,","logger.setLevel(\"DEBUG\") def test_cost_piecewise_linear_gen(): \"\"\" Testing a very simple network for the resulting cost","[-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost","10 < 1e-3 # check and assert result def test_get_costs(): \"\"\" Testing a","0, \"ext_grid\", np.array([[-50, -500], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"]","0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - net.res_gen.p_kw.values /","net[\"OPF_converged\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \"\"\" Testing","result def test_cost_piecewise_linear_sgen(): \"\"\" Testing a very simple network for the resulting cost","net[\"OPF_converged\"] # assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 if __name__ ==","1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net,","x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -100], [-75, -50], [0, 0]]))","and assert result def test_cost_piecewise_linear_sgen(): \"\"\" Testing a very simple network for the","pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5,","min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20,","as np import pytest from pandapower.optimal_powerflow import OPFNotConverged import pandapower as pp try:","\"sgen\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert","# run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - - net.res_ext_grid.p_kw.values *","vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1,","pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0, 0], [75, 50], [150, 100]])) # run OPF pp.runopp(net,","pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0,","assert net.res_cost - net.res_gen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_eg(): \"\"\" Testing a","pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150,","pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0)","assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \"\"\" Testing a","1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \"\"\" Testing a very simple network for the resulting cost","r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -100], [-75,","net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0,","- net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \"\"\" Testing a very simple","1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\",","p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net,","net[\"OPF_converged\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \"\"\" Testing","verbose=False) assert net[\"OPF_converged\"] # assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 if","net[\"OPF_converged\"] assert net.res_cost - net.res_gen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_eg(): \"\"\" Testing","1.5 < 1e-3 def test_cost_piecewise_linear_load(): \"\"\" Testing a very simple network for the","max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -300], [0, 0]])) # run OPF","0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123,","min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) #","r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -200], [-75,","101]])) # run OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert abs(net.res_cost -","pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True,","np.array([[-150, -200], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"]","- - net.res_ext_grid.p_kw.values * 10 < 1e-3 # check and assert result def","690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-1500, 2],[-750,1 ], [0,2]])) # run OPF pp.runopp(net, verbose=False)","\"sgen\", np.array([[-150, -200], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert","with OPF \"\"\" # boundaries: vm_max = 1.5 vm_min = 0.5 # create","1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"gen\",","test_cost_piecewise_linear_load_uneven_slopes(): \"\"\" Testing a very simple network for the resulting cost value constraints","assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \"\"\" Testing a","[0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - -","max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-1500, 2],[-750,1 ], [0,2]])) # run OPF","1e-3 def test_cost_piecewise_linear_load(): \"\"\" Testing a very simple network for the resulting cost","np import pytest from pandapower.optimal_powerflow import OPFNotConverged import pandapower as pp try: import","create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10)","pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-1500, 2],[-750,1 ], [0,2]])) # run OPF pp.runopp(net, verbose=False) assert","OPFNotConverged import pandapower as pp try: import pplog as logging except ImportError: import","0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net,","np.array([[0, 0], [75, 50], [150, 100]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"]","1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \"\"\" Testing a very simple network for the","0], [75, 51], [150, 101]])) # run OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert","pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False)","as pp try: import pplog as logging except ImportError: import logging logger =","OPF \"\"\" # boundaries: vm_max = 1.05 vm_min = 0.95 # create net","max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1,","np.array([[-50, -500], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost","= pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100,","1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"load\",","# and Energy System Technology (IEE), Kassel. All rights reserved. import numpy as","by University of Kassel and Fraunhofer Institute for Energy Economics # and Energy","* 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -200], [-75, -50], [0, 0]])) # run","r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -100], [-75,","max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"ext_grid\", np.array([[-50, -500], [0, 0]])) #","max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -200], [-75, -50], [0, 0]])) #","vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1,","pandapower.optimal_powerflow import OPFNotConverged import pandapower as pp try: import pplog as logging except","value constraints with OPF \"\"\" # boundaries: vm_max = 1.05 vm_min = 0.95","abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \"\"\" Testing a very","= logging.getLogger(__name__) logger.setLevel(\"DEBUG\") def test_cost_piecewise_linear_gen(): \"\"\" Testing a very simple network for the","pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost == 2 * net.res_gen.p_kw.values # check and","pandapower as pp try: import pplog as logging except ImportError: import logging logger","name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -100],","# boundaries: vm_max = 1.5 vm_min = 0.5 # create net net =","Energy Economics # and Energy System Technology (IEE), Kassel. All rights reserved. import","import numpy as np import pytest from pandapower.optimal_powerflow import OPFNotConverged import pandapower as","vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50)","net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 if __name__ == \"__main__\": # test_cost_piecewise_linear_sgen_very_unsteady_slopes()","run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - net.res_gen.p_kw.values / 1.5 <","c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"ext_grid\", np.array([[-50, -500], [0, 0]]))","0, \"gen\", np.array([[-150, -300], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"]","check and assert result def test_cost_piecewise_linear_sgen(): \"\"\" Testing a very simple network for","logging except ImportError: import logging logger = logging.getLogger(__name__) logger.setLevel(\"DEBUG\") def test_cost_piecewise_linear_gen(): \"\"\" Testing","verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - - net.res_ext_grid.p_kw.values * 10 < 1e-3 #","net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \"\"\" Testing a very simple network","pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net,","max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0, 0], [75, 50], [150,","max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -100], [-75, -50], [0, 0]])) #","vm_max = 1.05 vm_min = 0.95 # create net net = pp.create_empty_network() pp.create_bus(net,","def test_cost_piecewise_linear_load_uneven_slopes(): \"\"\" Testing a very simple network for the resulting cost value","# -*- coding: utf-8 -*- # Copyright (c) 2016-2018 by University of Kassel","* 690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run","vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1,","network for the resulting cost value constraints with OPF \"\"\" # boundaries: vm_max","- net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \"\"\" Testing a very simple","pp.create_piecewise_linear_cost(net, 0, \"load\", np.array([[0, 0], [75, 51], [150, 101]])) # run OPF with","pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net,","* 690) pp.create_piecewise_linear_cost(net, 0, \"ext_grid\", np.array([[-50, -500], [0, 0]])) # run OPF pp.runopp(net,","run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] # assert net.res_cost - net.res_sgen.p_kw.values / 1.5","1e-3 # check and assert result def test_get_costs(): \"\"\" Testing a very simple","[0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost == 2","controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1, 50, name=\"line2\", r_ohm_per_km=0.876,","net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net,","assert result def test_get_costs(): \"\"\" Testing a very simple network for the resulting","0, \"gen\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False)","1, 50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"ext_grid\",","690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -200], [-75, -50], [0, 0]])) # run OPF","reserved. import numpy as np import pytest from pandapower.optimal_powerflow import OPFNotConverged import pandapower","logger = logging.getLogger(__name__) logger.setLevel(\"DEBUG\") def test_cost_piecewise_linear_gen(): \"\"\" Testing a very simple network for","pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF pp.runopp(net,","vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50)","r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"ext_grid\", np.array([[-50, -500], [0,","p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net,","for the resulting cost value constraints with OPF \"\"\" # boundaries: vm_max =","run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost == 2 * net.res_gen.p_kw.values #","c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"gen\", np.array([[-150, -100], [-75, -50],","net.res_ext_grid.p_kw.values * 10 < 1e-3 # check and assert result def test_get_costs(): \"\"\"","from pandapower.optimal_powerflow import OPFNotConverged import pandapower as pp try: import pplog as logging","2016-2018 by University of Kassel and Fraunhofer Institute for Energy Economics # and","= 0.95 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net,","assert net[\"OPF_converged\"] assert net.res_cost - - net.res_ext_grid.p_kw.values * 10 < 1e-3 # check","-50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost -","net.res_cost - - net.res_ext_grid.p_kw.values * 10 < 1e-3 # check and assert result","cost value constraints with OPF \"\"\" # boundaries: vm_max = 1.5 vm_min =","= 0.5 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net,","OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3","assert net[\"OPF_converged\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load(): \"\"\"","assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 if __name__ == \"__main__\": #","verbose=False) assert net[\"OPF_converged\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load():","x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150, -200], [-75, -50], [0, 0]]))","def test_cost_piecewise_linear_eg(): \"\"\" Testing a very simple network for the resulting cost value","pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0,","50, name=\"line2\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \"sgen\", np.array([[-150,","= pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0,","/ 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \"\"\" Testing a very simple network for","pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50)","pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5,","pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20,","constraints with OPF \"\"\" # boundaries: vm_max = 1.5 vm_min = 0.5 #","0], [75, 50], [150, 100]])) # run OPF pp.runopp(net, verbose=False) assert net[\"OPF_converged\"] assert","# assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 if __name__ == \"__main__\":","coding: utf-8 -*- # Copyright (c) 2016-2018 by University of Kassel and Fraunhofer"],"string":"[\n \"< 1e-3 # check and assert result def test_get_costs(): \\\"\\\"\\\" Testing a very\",\n \"(IEE), Kassel. All rights reserved. import numpy as np import pytest from pandapower.optimal_powerflow\",\n \"def test_get_costs(): \\\"\\\"\\\" Testing a very simple network for the resulting cost value\",\n \"assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load(): \\\"\\\"\\\" Testing a\",\n \"def test_cost_piecewise_linear_load(): \\\"\\\"\\\" Testing a very simple network for the resulting cost value\",\n \"name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -200],\",\n \"-*- coding: utf-8 -*- # Copyright (c) 2016-2018 by University of Kassel and\",\n \"0.95 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max,\",\n \"* 690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -300], [0, 0]])) # run OPF pp.runopp(net,\",\n \"- net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \\\"\\\"\\\" Testing a very simple\",\n \"\\\"\\\"\\\" Testing a very simple network for the resulting cost value constraints with\",\n \"np.array([[-150, -300], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost\",\n \"net[\\\"OPF_converged\\\"] assert net.res_cost == 2 * net.res_gen.p_kw.values # check and assert result def\",\n \"0, \\\"load\\\", np.array([[0, 0], [75, 51], [150, 101]])) # run OPF with pytest.raises(OPFNotConverged):\",\n \"pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -200], [-75, -50], [0, 0]])) # run OPF pp.runopp(net,\",\n \"pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True,\",\n \"[150, 100]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values\",\n \"test_cost_piecewise_linear_gen(): \\\"\\\"\\\" Testing a very simple network for the resulting cost value constraints\",\n \"boundaries: vm_max = 1.05 vm_min = 0.95 # create net net = pp.create_empty_network()\",\n \"0.5 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max,\",\n \"Kassel. All rights reserved. import numpy as np import pytest from pandapower.optimal_powerflow import\",\n \"pplog as logging except ImportError: import logging logger = logging.getLogger(__name__) logger.setLevel(\\\"DEBUG\\\") def test_cost_piecewise_linear_gen():\",\n \"net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1,\",\n \"Institute for Energy Economics # and Energy System Technology (IEE), Kassel. All rights\",\n \"University of Kassel and Fraunhofer Institute for Energy Economics # and Energy System\",\n \"OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_gen.p_kw.values / 1.5 < 1e-3\",\n \"pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20,\",\n \"100]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values /\",\n \"\\\"load\\\", np.array([[0, 0], [75, 51], [150, 101]])) # run OPF with pytest.raises(OPFNotConverged): pp.runopp(net,\",\n \"controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0,\",\n \"min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876,\",\n \"Energy System Technology (IEE), Kassel. All rights reserved. import numpy as np import\",\n \"c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0, 0], [75, 50],\",\n \"np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"]\",\n \"max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0, 0], [75, 51], [150, 101]])) #\",\n \"690) pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0, 0], [75, 50], [150, 100]])) # run OPF\",\n \"= pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000,\",\n \"utf-8 -*- # Copyright (c) 2016-2018 by University of Kassel and Fraunhofer Institute\",\n \"max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"ext_grid\\\", np.array([[-50, -500], [0, 0]])) # run OPF\",\n \"\\\"gen\\\", np.array([[-150, -300], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert\",\n \"pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50,\",\n \"run OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values /\",\n \"create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4)\",\n \"net.res_gen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_eg(): \\\"\\\"\\\" Testing a very simple network\",\n \"2 * net.res_gen.p_kw.values # check and assert result def test_cost_piecewise_linear_sgen(): \\\"\\\"\\\" Testing a\",\n \"# create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min,\",\n \"c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -100], [-75, -50],\",\n \"< 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \\\"\\\"\\\" Testing a very simple network for the resulting\",\n \"vm_max = 1.5 vm_min = 0.5 # create net net = pp.create_empty_network() pp.create_bus(net,\",\n \"x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"ext_grid\\\", np.array([[-50, -500], [0, 0]])) # run\",\n \"min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10,\",\n \"0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_sgen.p_kw.values /\",\n \"max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -300], [0, 0]])) #\",\n \"< 1e-3 def test_cost_piecewise_linear_load(): \\\"\\\"\\\" Testing a very simple network for the resulting\",\n \"pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net,\",\n \"* 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run\",\n \"try: import pplog as logging except ImportError: import logging logger = logging.getLogger(__name__) logger.setLevel(\\\"DEBUG\\\")\",\n \"def test_cost_piecewise_linear_sgen(): \\\"\\\"\\\" Testing a very simple network for the resulting cost value\",\n \"min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50,\",\n \"max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876,\",\n \"0, \\\"load\\\", np.array([[0, 0], [75, 50], [150, 100]])) # run OPF pp.runopp(net, verbose=False)\",\n \"c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-1500, 2],[-750,1 ], [0,2]]))\",\n \"max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0)\",\n \"max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0,\",\n \"abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \\\"\\\"\\\" Testing a very\",\n \"net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \\\"\\\"\\\" Testing a very simple network\",\n \"Economics # and Energy System Technology (IEE), Kassel. All rights reserved. import numpy\",\n \"50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-1500,\",\n \"assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_gen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_eg(): \\\"\\\"\\\"\",\n \"# run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_gen.p_kw.values / 1.5\",\n \"min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0,\",\n \"- net.res_sgen.p_kw.values / 1.5 < 1e-3 if __name__ == \\\"__main__\\\": # test_cost_piecewise_linear_sgen_very_unsteady_slopes() pytest.main([\\\"test_costs_pwl.py\\\",\",\n \"* net.res_gen.p_kw.values # check and assert result def test_cost_piecewise_linear_sgen(): \\\"\\\"\\\" Testing a very\",\n \"name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -100],\",\n \"controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0,\",\n \"* 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-1500, 2],[-750,1 ], [0,2]])) # run OPF pp.runopp(net,\",\n \"cost value constraints with OPF \\\"\\\"\\\" # boundaries: vm_max = 1.05 vm_min =\",\n \"< 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \\\"\\\"\\\" Testing a very simple network for the resulting\",\n \"Testing a very simple network for the resulting cost value constraints with OPF\",\n \"1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1, 50,\",\n \"max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -100], [-75, -50], [0,\",\n \"min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50,\",\n \"run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - - net.res_ext_grid.p_kw.values * 10\",\n \"# pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876,\",\n \"r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0, 0], [75,\",\n \"* 690) pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0, 0], [75, 51], [150, 101]])) # run\",\n \"result def test_get_costs(): \\\"\\\"\\\" Testing a very simple network for the resulting cost\",\n \"50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"ext_grid\\\", np.array([[-50,\",\n \"net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1,\",\n \"the resulting cost value constraints with OPF \\\"\\\"\\\" # boundaries: vm_max = 1.5\",\n \"- net.res_gen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_eg(): \\\"\\\"\\\" Testing a very simple\",\n \"max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1,\",\n \"simple network for the resulting cost value constraints with OPF \\\"\\\"\\\" # boundaries:\",\n \"verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost == 2 * net.res_gen.p_kw.values # check and assert\",\n \"constraints with OPF \\\"\\\"\\\" # boundaries: vm_max = 1.05 vm_min = 0.95 #\",\n \"# run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5)\",\n \"pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1,\",\n \"2],[-750,1 ], [0,2]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] # assert net.res_cost\",\n \"[0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_gen.p_kw.values\",\n \"/ 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \\\"\\\"\\\" Testing a very simple network for\",\n \"vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0,\",\n \"pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net,\",\n \"= 1.5 vm_min = 0.5 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max,\",\n \"vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50)\",\n \"def test_cost_piecewise_linear_sgen_uneven_slopes(): \\\"\\\"\\\" Testing a very simple network for the resulting cost value\",\n \"max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150,\",\n \"x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-1500, 2],[-750,1 ], [0,2]])) # run\",\n \"very simple network for the resulting cost value constraints with OPF \\\"\\\"\\\" #\",\n \"verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes():\",\n \"690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF\",\n \"/ 1.5 < 1e-3 def test_cost_piecewise_linear_load(): \\\"\\\"\\\" Testing a very simple network for\",\n \"\\\"sgen\\\", np.array([[-1500, 2],[-750,1 ], [0,2]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] #\",\n \"690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -300], [0, 0]])) # run OPF pp.runopp(net, verbose=False)\",\n \"check and assert result def test_get_costs(): \\\"\\\"\\\" Testing a very simple network for\",\n \"], [0,2]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] # assert net.res_cost -\",\n \"and Fraunhofer Institute for Energy Economics # and Energy System Technology (IEE), Kassel.\",\n \"0, \\\"sgen\\\", np.array([[-150, -200], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False)\",\n \"net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load(): \\\"\\\"\\\" Testing\",\n \"vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net,\",\n \"net.res_sgen.p_kw.values / 1.5 < 1e-3 if __name__ == \\\"__main__\\\": # test_cost_piecewise_linear_sgen_very_unsteady_slopes() pytest.main([\\\"test_costs_pwl.py\\\", \\\"-s\\\"])\",\n \"net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net,\",\n \"[0,2]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] # assert net.res_cost - net.res_sgen.p_kw.values\",\n \"pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net,\",\n \"import pandapower as pp try: import pplog as logging except ImportError: import logging\",\n \"/ 1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \\\"\\\"\\\" Testing a very simple network for\",\n \"1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \\\"\\\"\\\" Testing a very simple network for the\",\n \"pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net,\",\n \"the resulting cost value constraints with OPF \\\"\\\"\\\" # boundaries: vm_max = 1.05\",\n \"assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \\\"\\\"\\\"\",\n \"1e-3 def test_cost_piecewise_linear_eg(): \\\"\\\"\\\" Testing a very simple network for the resulting cost\",\n \"with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) <\",\n \"- net.res_ext_grid.p_kw.values * 10 < 1e-3 # check and assert result def test_get_costs():\",\n \"p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0,\",\n \"max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0)\",\n \"-200], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert\",\n \"pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3\",\n \"def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \\\"\\\"\\\" Testing a very simple network for the resulting cost value\",\n \"* 10 < 1e-3 # check and assert result def test_get_costs(): \\\"\\\"\\\" Testing\",\n \"r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-1500, 2],[-750,1 ],\",\n \"max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150,\",\n \"c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -200], [-75, -50],\",\n \"OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5)\",\n \"ImportError: import logging logger = logging.getLogger(__name__) logger.setLevel(\\\"DEBUG\\\") def test_cost_piecewise_linear_gen(): \\\"\\\"\\\" Testing a very\",\n \"c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -300], [0, 0]]))\",\n \"[75, 51], [150, 101]])) # run OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"]\",\n \"Kassel and Fraunhofer Institute for Energy Economics # and Energy System Technology (IEE),\",\n \"import pytest from pandapower.optimal_powerflow import OPFNotConverged import pandapower as pp try: import pplog\",\n \"51], [150, 101]])) # run OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert\",\n \"pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_gen.p_kw.values / 1.5 < 1e-3 def\",\n \"0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0,\",\n \"1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False)\",\n \"\\\"\\\"\\\" # boundaries: vm_max = 1.05 vm_min = 0.95 # create net net\",\n \"verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes():\",\n \"# run OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values\",\n \"vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0)\",\n \"50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0,\",\n \"max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50,\",\n \"* 690) pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0, 0], [75, 50], [150, 100]])) # run\",\n \"for Energy Economics # and Energy System Technology (IEE), Kassel. All rights reserved.\",\n \"x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0, 0], [75, 50], [150, 100]]))\",\n \"1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \\\"\\\"\\\" Testing a very simple network for the resulting cost\",\n \"assert net.res_cost == 2 * net.res_gen.p_kw.values # check and assert result def test_cost_piecewise_linear_sgen():\",\n \"np.array([[0, 0], [75, 51], [150, 101]])) # run OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False)\",\n \"pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876,\",\n \"pp.create_piecewise_linear_cost(net, 0, \\\"ext_grid\\\", np.array([[-50, -500], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert\",\n \"net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1,\",\n \"1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100\",\n \"-300], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost ==\",\n \"verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes():\",\n \"vm_min = 0.95 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.)\",\n \"test_cost_piecewise_linear_sgen_uneven_slopes(): \\\"\\\"\\\" Testing a very simple network for the resulting cost value constraints\",\n \"net.res_cost - net.res_gen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_eg(): \\\"\\\"\\\" Testing a very\",\n \"vm_min = 0.5 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.)\",\n \"max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-1500, 2],[-750,1 ], [0,2]])) #\",\n \"min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50,\",\n \"pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def\",\n \"resulting cost value constraints with OPF \\\"\\\"\\\" # boundaries: vm_max = 1.05 vm_min\",\n \"except ImportError: import logging logger = logging.getLogger(__name__) logger.setLevel(\\\"DEBUG\\\") def test_cost_piecewise_linear_gen(): \\\"\\\"\\\" Testing a\",\n \"max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0)\",\n \"min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net,\",\n \"def test_cost_piecewise_linear_gen(): \\\"\\\"\\\" Testing a very simple network for the resulting cost value\",\n \"test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \\\"\\\"\\\" Testing a very simple network for the resulting cost value constraints\",\n \"max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -100], [-75, -50], [0, 0]])) #\",\n \"run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 <\",\n \"with OPF \\\"\\\"\\\" # boundaries: vm_max = 1.05 vm_min = 0.95 # create\",\n \"resulting cost value constraints with OPF \\\"\\\"\\\" # boundaries: vm_max = 1.5 vm_min\",\n \"Technology (IEE), Kassel. All rights reserved. import numpy as np import pytest from\",\n \"min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50,\",\n \"[0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_sgen.p_kw.values\",\n \"x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0, 0], [75, 51], [150, 101]]))\",\n \"1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \\\"\\\"\\\" Testing a very simple network for the resulting cost\",\n \"690) pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0, 0], [75, 51], [150, 101]])) # run OPF\",\n \"pp try: import pplog as logging except ImportError: import logging logger = logging.getLogger(__name__)\",\n \"name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -300],\",\n \"System Technology (IEE), Kassel. All rights reserved. import numpy as np import pytest\",\n \"x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -300], [0, 0]])) # run\",\n \"net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net,\",\n \"-*- # Copyright (c) 2016-2018 by University of Kassel and Fraunhofer Institute for\",\n \"min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net,\",\n \"pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20,\",\n \"pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] # assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3\",\n \"value constraints with OPF \\\"\\\"\\\" # boundaries: vm_max = 1.5 vm_min = 0.5\",\n \"690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF\",\n \"assert net[\\\"OPF_converged\\\"] # assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 if __name__\",\n \"boundaries: vm_max = 1.5 vm_min = 0.5 # create net net = pp.create_empty_network()\",\n \"max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -200], [-75, -50], [0,\",\n \"OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - - net.res_ext_grid.p_kw.values * 10 <\",\n \"p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\",\",\n \"< 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \\\"\\\"\\\" Testing a very simple network for the resulting\",\n \"pytest from pandapower.optimal_powerflow import OPFNotConverged import pandapower as pp try: import pplog as\",\n \"min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50,\",\n \"OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3\",\n \"0, \\\"sgen\\\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False)\",\n \"test_cost_piecewise_linear_load(): \\\"\\\"\\\" Testing a very simple network for the resulting cost value constraints\",\n \"assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \\\"\\\"\\\"\",\n \"and Energy System Technology (IEE), Kassel. All rights reserved. import numpy as np\",\n \"max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net, 1,\",\n \"name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0, 0],\",\n \"max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0, 0], [75, 51], [150,\",\n \"(c) 2016-2018 by University of Kassel and Fraunhofer Institute for Energy Economics #\",\n \"-100], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert\",\n \"== 2 * net.res_gen.p_kw.values # check and assert result def test_cost_piecewise_linear_sgen(): \\\"\\\"\\\" Testing\",\n \"# run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5\",\n \"pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def\",\n \"min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net,\",\n \"min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50,\",\n \"\\\"load\\\", np.array([[0, 0], [75, 50], [150, 100]])) # run OPF pp.runopp(net, verbose=False) assert\",\n \"import OPFNotConverged import pandapower as pp try: import pplog as logging except ImportError:\",\n \"1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False)\",\n \"0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost == 2 *\",\n \"pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -300], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert\",\n \"max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True)\",\n \"test_get_costs(): \\\"\\\"\\\" Testing a very simple network for the resulting cost value constraints\",\n \"pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 *\",\n \"min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100\",\n \"Fraunhofer Institute for Energy Economics # and Energy System Technology (IEE), Kassel. All\",\n \"assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \\\"\\\"\\\"\",\n \"min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123,\",\n \"net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load(): \\\"\\\"\\\" Testing a very\",\n \"# Copyright (c) 2016-2018 by University of Kassel and Fraunhofer Institute for Energy\",\n \"test_cost_piecewise_linear_eg(): \\\"\\\"\\\" Testing a very simple network for the resulting cost value constraints\",\n \"net[\\\"OPF_converged\\\"] assert net.res_cost - - net.res_ext_grid.p_kw.values * 10 < 1e-3 # check and\",\n \"# run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost == 2 * net.res_gen.p_kw.values\",\n \"assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \\\"\\\"\\\" Testing a\",\n \"net.res_cost == 2 * net.res_gen.p_kw.values # check and assert result def test_cost_piecewise_linear_sgen(): \\\"\\\"\\\"\",\n \"net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net,\",\n \"OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost == 2 * net.res_gen.p_kw.values # check\",\n \"0) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690)\",\n \"1.05 vm_min = 0.95 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min,\",\n \"< 1e-3 def test_cost_piecewise_linear_eg(): \\\"\\\"\\\" Testing a very simple network for the resulting\",\n \"verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_gen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_eg():\",\n \"pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True,\",\n \"1.5 < 1e-3 def test_cost_piecewise_linear_eg(): \\\"\\\"\\\" Testing a very simple network for the\",\n \"np.array([[-1500, 2],[-750,1 ], [0,2]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] # assert\",\n \"import pplog as logging except ImportError: import logging logger = logging.getLogger(__name__) logger.setLevel(\\\"DEBUG\\\") def\",\n \"50], [150, 100]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost -\",\n \"test_cost_piecewise_linear_sgen(): \\\"\\\"\\\" Testing a very simple network for the resulting cost value constraints\",\n \"of Kassel and Fraunhofer Institute for Energy Economics # and Energy System Technology\",\n \"c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0, 0], [75, 51],\",\n \"= pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100,\",\n \"# check and assert result def test_cost_piecewise_linear_sgen(): \\\"\\\"\\\" Testing a very simple network\",\n \"[75, 50], [150, 100]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost\",\n \"p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 *\",\n \"name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"ext_grid\\\", np.array([[-50, -500],\",\n \"assert net[\\\"OPF_converged\\\"] assert net.res_cost == 2 * net.res_gen.p_kw.values # check and assert result\",\n \"r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -300], [0,\",\n \"run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) <\",\n \"name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-1500, 2],[-750,1\",\n \"min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net,\",\n \"All rights reserved. import numpy as np import pytest from pandapower.optimal_powerflow import OPFNotConverged\",\n \"max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0, 0], [75, 50], [150, 100]])) #\",\n \"net.res_gen.p_kw.values # check and assert result def test_cost_piecewise_linear_sgen(): \\\"\\\"\\\" Testing a very simple\",\n \"[150, 101]])) # run OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost\",\n \"controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690)\",\n \"net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \\\"\\\"\\\" Testing\",\n \"Copyright (c) 2016-2018 by University of Kassel and Fraunhofer Institute for Energy Economics\",\n \"- net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load(): \\\"\\\"\\\" Testing a very simple\",\n \"\\\"\\\"\\\" # boundaries: vm_max = 1.5 vm_min = 0.5 # create net net\",\n \"max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\",\",\n \"0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - - net.res_ext_grid.p_kw.values\",\n \"= 1.05 vm_min = 0.95 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max,\",\n \"max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1,\",\n \"x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -100], [-75, -50], [0, 0]]))\",\n \"# boundaries: vm_max = 1.05 vm_min = 0.95 # create net net =\",\n \"numpy as np import pytest from pandapower.optimal_powerflow import OPFNotConverged import pandapower as pp\",\n \"net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \\\"\\\"\\\" Testing a very\",\n \"max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500,\",\n \"logging.getLogger(__name__) logger.setLevel(\\\"DEBUG\\\") def test_cost_piecewise_linear_gen(): \\\"\\\"\\\" Testing a very simple network for the resulting\",\n \"net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load(): \\\"\\\"\\\" Testing a very simple network\",\n \"import logging logger = logging.getLogger(__name__) logger.setLevel(\\\"DEBUG\\\") def test_cost_piecewise_linear_gen(): \\\"\\\"\\\" Testing a very simple\",\n \"OPF \\\"\\\"\\\" # boundaries: vm_max = 1.5 vm_min = 0.5 # create net\",\n \"logging logger = logging.getLogger(__name__) logger.setLevel(\\\"DEBUG\\\") def test_cost_piecewise_linear_gen(): \\\"\\\"\\\" Testing a very simple network\",\n \"50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150,\",\n \"assert net.res_cost - - net.res_ext_grid.p_kw.values * 10 < 1e-3 # check and assert\",\n \"# run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] # assert net.res_cost - net.res_sgen.p_kw.values /\",\n \"assert result def test_cost_piecewise_linear_sgen(): \\\"\\\"\\\" Testing a very simple network for the resulting\",\n \"\\\"gen\\\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert\",\n \"vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0,\",\n \"1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \\\"\\\"\\\" Testing a very simple network for the\",\n \"pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True,\",\n \"pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - - net.res_ext_grid.p_kw.values * 10 < 1e-3\",\n \"# check and assert result def test_get_costs(): \\\"\\\"\\\" Testing a very simple network\",\n \"pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF pp.runopp(net,\",\n \"rights reserved. import numpy as np import pytest from pandapower.optimal_powerflow import OPFNotConverged import\",\n \"= pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100,\",\n \"a very simple network for the resulting cost value constraints with OPF \\\"\\\"\\\"\",\n \"690) pp.create_piecewise_linear_cost(net, 0, \\\"ext_grid\\\", np.array([[-50, -500], [0, 0]])) # run OPF pp.runopp(net, verbose=False)\",\n \"1.5 vm_min = 0.5 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min,\",\n \"and assert result def test_get_costs(): \\\"\\\"\\\" Testing a very simple network for the\",\n \"/ 1.5 < 1e-3 def test_cost_piecewise_linear_eg(): \\\"\\\"\\\" Testing a very simple network for\",\n \"<reponame>mathildebadoual/pandapower # -*- coding: utf-8 -*- # Copyright (c) 2016-2018 by University of\",\n \"0, \\\"sgen\\\", np.array([[-1500, 2],[-750,1 ], [0,2]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"]\",\n \"net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \\\"\\\"\\\" Testing a very simple network\",\n \"\\\"ext_grid\\\", np.array([[-50, -500], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert\",\n \"max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -100], [-75, -50], [0,\",\n \"controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\",\",\n \"-500], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost -\",\n \"max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0)\",\n \"OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] # assert net.res_cost - net.res_sgen.p_kw.values / 1.5 <\",\n \"as logging except ImportError: import logging logger = logging.getLogger(__name__) logger.setLevel(\\\"DEBUG\\\") def test_cost_piecewise_linear_gen(): \\\"\\\"\\\"\",\n \"max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1,\",\n \"logger.setLevel(\\\"DEBUG\\\") def test_cost_piecewise_linear_gen(): \\\"\\\"\\\" Testing a very simple network for the resulting cost\",\n \"[-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost\",\n \"10 < 1e-3 # check and assert result def test_get_costs(): \\\"\\\"\\\" Testing a\",\n \"0, \\\"ext_grid\\\", np.array([[-50, -500], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"]\",\n \"0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_gen.p_kw.values /\",\n \"net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \\\"\\\"\\\" Testing\",\n \"result def test_cost_piecewise_linear_sgen(): \\\"\\\"\\\" Testing a very simple network for the resulting cost\",\n \"net[\\\"OPF_converged\\\"] # assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 if __name__ ==\",\n \"1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net,\",\n \"x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -100], [-75, -50], [0, 0]]))\",\n \"and assert result def test_cost_piecewise_linear_sgen(): \\\"\\\"\\\" Testing a very simple network for the\",\n \"pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5,\",\n \"min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20,\",\n \"as np import pytest from pandapower.optimal_powerflow import OPFNotConverged import pandapower as pp try:\",\n \"\\\"sgen\\\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert\",\n \"# run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - - net.res_ext_grid.p_kw.values *\",\n \"vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1,\",\n \"pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0, 0], [75, 50], [150, 100]])) # run OPF pp.runopp(net,\",\n \"pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0,\",\n \"assert net.res_cost - net.res_gen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_eg(): \\\"\\\"\\\" Testing a\",\n \"pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150,\",\n \"pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0)\",\n \"assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \\\"\\\"\\\" Testing a\",\n \"1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \\\"\\\"\\\" Testing a very simple network for the resulting cost\",\n \"r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -100], [-75,\",\n \"net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0,\",\n \"- net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \\\"\\\"\\\" Testing a very simple\",\n \"1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\",\",\n \"p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net,\",\n \"net[\\\"OPF_converged\\\"] assert abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \\\"\\\"\\\" Testing\",\n \"verbose=False) assert net[\\\"OPF_converged\\\"] # assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 if\",\n \"net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_gen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_eg(): \\\"\\\"\\\" Testing\",\n \"1.5 < 1e-3 def test_cost_piecewise_linear_load(): \\\"\\\"\\\" Testing a very simple network for the\",\n \"max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -300], [0, 0]])) # run OPF\",\n \"0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123,\",\n \"min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) #\",\n \"r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -200], [-75,\",\n \"101]])) # run OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert abs(net.res_cost -\",\n \"pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True,\",\n \"np.array([[-150, -200], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"]\",\n \"- - net.res_ext_grid.p_kw.values * 10 < 1e-3 # check and assert result def\",\n \"690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-1500, 2],[-750,1 ], [0,2]])) # run OPF pp.runopp(net, verbose=False)\",\n \"\\\"sgen\\\", np.array([[-150, -200], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert\",\n \"with OPF \\\"\\\"\\\" # boundaries: vm_max = 1.5 vm_min = 0.5 # create\",\n \"1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\",\",\n \"test_cost_piecewise_linear_load_uneven_slopes(): \\\"\\\"\\\" Testing a very simple network for the resulting cost value constraints\",\n \"assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \\\"\\\"\\\" Testing a\",\n \"[0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - -\",\n \"max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-1500, 2],[-750,1 ], [0,2]])) # run OPF\",\n \"1e-3 def test_cost_piecewise_linear_load(): \\\"\\\"\\\" Testing a very simple network for the resulting cost\",\n \"np import pytest from pandapower.optimal_powerflow import OPFNotConverged import pandapower as pp try: import\",\n \"create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10)\",\n \"pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-1500, 2],[-750,1 ], [0,2]])) # run OPF pp.runopp(net, verbose=False) assert\",\n \"OPFNotConverged import pandapower as pp try: import pplog as logging except ImportError: import\",\n \"0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net,\",\n \"np.array([[0, 0], [75, 50], [150, 100]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"]\",\n \"1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \\\"\\\"\\\" Testing a very simple network for the\",\n \"0], [75, 51], [150, 101]])) # run OPF with pytest.raises(OPFNotConverged): pp.runopp(net, verbose=False) assert\",\n \"pp.create_gen(net, 1, p_kw=-10, max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False)\",\n \"as pp try: import pplog as logging except ImportError: import logging logger =\",\n \"OPF \\\"\\\"\\\" # boundaries: vm_max = 1.05 vm_min = 0.95 # create net\",\n \"max_p_kw=0, min_p_kw=-50, controllable=True) # pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net, 0, 1,\",\n \"np.array([[-50, -500], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost\",\n \"= pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100,\",\n \"1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"load\\\",\",\n \"# and Energy System Technology (IEE), Kassel. All rights reserved. import numpy as\",\n \"by University of Kassel and Fraunhofer Institute for Energy Economics # and Energy\",\n \"* 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -200], [-75, -50], [0, 0]])) # run\",\n \"r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -100], [-75,\",\n \"max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"ext_grid\\\", np.array([[-50, -500], [0, 0]])) #\",\n \"max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -200], [-75, -50], [0, 0]])) #\",\n \"vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1,\",\n \"pandapower.optimal_powerflow import OPFNotConverged import pandapower as pp try: import pplog as logging except\",\n \"value constraints with OPF \\\"\\\"\\\" # boundaries: vm_max = 1.05 vm_min = 0.95\",\n \"abs(net.res_cost - net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_very_unsteady_slopes(): \\\"\\\"\\\" Testing a very\",\n \"= logging.getLogger(__name__) logger.setLevel(\\\"DEBUG\\\") def test_cost_piecewise_linear_gen(): \\\"\\\"\\\" Testing a very simple network for the\",\n \"pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost == 2 * net.res_gen.p_kw.values # check and\",\n \"pandapower as pp try: import pplog as logging except ImportError: import logging logger\",\n \"name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -100],\",\n \"# boundaries: vm_max = 1.5 vm_min = 0.5 # create net net =\",\n \"Energy Economics # and Energy System Technology (IEE), Kassel. All rights reserved. import\",\n \"import numpy as np import pytest from pandapower.optimal_powerflow import OPFNotConverged import pandapower as\",\n \"vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50)\",\n \"net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 if __name__ == \\\"__main__\\\": # test_cost_piecewise_linear_sgen_very_unsteady_slopes()\",\n \"run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_gen.p_kw.values / 1.5 <\",\n \"c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"ext_grid\\\", np.array([[-50, -500], [0, 0]]))\",\n \"0, \\\"gen\\\", np.array([[-150, -300], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"]\",\n \"check and assert result def test_cost_piecewise_linear_sgen(): \\\"\\\"\\\" Testing a very simple network for\",\n \"logging except ImportError: import logging logger = logging.getLogger(__name__) logger.setLevel(\\\"DEBUG\\\") def test_cost_piecewise_linear_gen(): \\\"\\\"\\\" Testing\",\n \"verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - - net.res_ext_grid.p_kw.values * 10 < 1e-3 #\",\n \"net.res_load.p_kw.values / 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \\\"\\\"\\\" Testing a very simple network\",\n \"pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_load(net, 1, p_kw=100, controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net,\",\n \"max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0, 0], [75, 50], [150,\",\n \"max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -100], [-75, -50], [0, 0]])) #\",\n \"vm_max = 1.05 vm_min = 0.95 # create net net = pp.create_empty_network() pp.create_bus(net,\",\n \"def test_cost_piecewise_linear_load_uneven_slopes(): \\\"\\\"\\\" Testing a very simple network for the resulting cost value\",\n \"# -*- coding: utf-8 -*- # Copyright (c) 2016-2018 by University of Kassel\",\n \"* 690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run\",\n \"vn_kv=.4) pp.create_sgen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1,\",\n \"network for the resulting cost value constraints with OPF \\\"\\\"\\\" # boundaries: vm_max\",\n \"- net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load_uneven_slopes(): \\\"\\\"\\\" Testing a very simple\",\n \"pp.create_piecewise_linear_cost(net, 0, \\\"load\\\", np.array([[0, 0], [75, 51], [150, 101]])) # run OPF with\",\n \"pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50) pp.create_gen(net,\",\n \"* 690) pp.create_piecewise_linear_cost(net, 0, \\\"ext_grid\\\", np.array([[-50, -500], [0, 0]])) # run OPF pp.runopp(net,\",\n \"run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] # assert net.res_cost - net.res_sgen.p_kw.values / 1.5\",\n \"1e-3 # check and assert result def test_get_costs(): \\\"\\\"\\\" Testing a very simple\",\n \"[0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost == 2\",\n \"controllable=True, max_p_kw=150, min_p_kw=50, max_q_kvar=0, min_q_kvar=0) pp.create_ext_grid(net, 0) pp.create_line_from_parameters(net, 0, 1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876,\",\n \"net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net,\",\n \"assert result def test_get_costs(): \\\"\\\"\\\" Testing a very simple network for the resulting\",\n \"0, \\\"gen\\\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF pp.runopp(net, verbose=False)\",\n \"1, 50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"ext_grid\\\",\",\n \"690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -200], [-75, -50], [0, 0]])) # run OPF\",\n \"reserved. import numpy as np import pytest from pandapower.optimal_powerflow import OPFNotConverged import pandapower\",\n \"logger = logging.getLogger(__name__) logger.setLevel(\\\"DEBUG\\\") def test_cost_piecewise_linear_gen(): \\\"\\\"\\\" Testing a very simple network for\",\n \"pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -100], [-75, -50], [0, 0]])) # run OPF pp.runopp(net,\",\n \"vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50)\",\n \"r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"ext_grid\\\", np.array([[-50, -500], [0,\",\n \"p_kw=-1000, controllable=True, max_p_kw=0, min_p_kw=-1500, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20, controllable=False) pp.create_line_from_parameters(net,\",\n \"for the resulting cost value constraints with OPF \\\"\\\"\\\" # boundaries: vm_max =\",\n \"run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost == 2 * net.res_gen.p_kw.values #\",\n \"c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"gen\\\", np.array([[-150, -100], [-75, -50],\",\n \"net.res_ext_grid.p_kw.values * 10 < 1e-3 # check and assert result def test_get_costs(): \\\"\\\"\\\"\",\n \"from pandapower.optimal_powerflow import OPFNotConverged import pandapower as pp try: import pplog as logging\",\n \"2016-2018 by University of Kassel and Fraunhofer Institute for Energy Economics # and\",\n \"= 0.95 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net,\",\n \"assert net[\\\"OPF_converged\\\"] assert net.res_cost - - net.res_ext_grid.p_kw.values * 10 < 1e-3 # check\",\n \"-50], [0, 0]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost -\",\n \"net.res_cost - - net.res_ext_grid.p_kw.values * 10 < 1e-3 # check and assert result\",\n \"cost value constraints with OPF \\\"\\\"\\\" # boundaries: vm_max = 1.5 vm_min =\",\n \"= 0.5 # create net net = pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net,\",\n \"OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3\",\n \"assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load(): \\\"\\\"\\\"\",\n \"assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 if __name__ == \\\"__main__\\\": #\",\n \"verbose=False) assert net[\\\"OPF_converged\\\"] assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 def test_cost_piecewise_linear_load():\",\n \"x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150, -200], [-75, -50], [0, 0]]))\",\n \"def test_cost_piecewise_linear_eg(): \\\"\\\"\\\" Testing a very simple network for the resulting cost value\",\n \"pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_sgen(net, 1, p_kw=-1000, controllable=True, max_p_kw=0,\",\n \"50, name=\\\"line2\\\", r_ohm_per_km=0.876, c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876, max_loading_percent=100 * 690) pp.create_piecewise_linear_cost(net, 0, \\\"sgen\\\", np.array([[-150,\",\n \"= pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0,\",\n \"/ 1.5) < 1e-3 def test_cost_piecewise_linear_sgen_uneven_slopes(): \\\"\\\"\\\" Testing a very simple network for\",\n \"pp.create_empty_network() pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10) pp.create_ext_grid(net, 0, max_p_kw=0, min_p_kw=-50)\",\n \"pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.) pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4) pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5,\",\n \"pp.create_gen(net, 1, p_kw=-100, controllable=True, max_p_kw=-5, min_p_kw=-150, max_q_kvar=50, min_q_kvar=-50) pp.create_ext_grid(net, 0) pp.create_load(net, 1, p_kw=20,\",\n \"constraints with OPF \\\"\\\"\\\" # boundaries: vm_max = 1.5 vm_min = 0.5 #\",\n \"0], [75, 50], [150, 100]])) # run OPF pp.runopp(net, verbose=False) assert net[\\\"OPF_converged\\\"] assert\",\n \"# assert net.res_cost - net.res_sgen.p_kw.values / 1.5 < 1e-3 if __name__ == \\\"__main__\\\":\",\n \"coding: utf-8 -*- # Copyright (c) 2016-2018 by University of Kassel and Fraunhofer\"\n]","isConversational":false}}},{"rowIdx":1994,"cells":{"ngram":{"kind":"list like","value":["= redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def cookie_refresh(): while 1:","red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\"[cookie数量正常]-[%s]\" % len(cookie_list)) def run_cookie_refresh(): cookie_refresh()","db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def cookie_refresh(): while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if","= red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\"[cookie数量正常]-[%s]\" % len(cookie_list)) def run_cookie_refresh():","-*- coding: utf-8 -*- # @Author: GXR # @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20",">= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\"[cookie数量正常]-[%s]\" % len(cookie_list)) def run_cookie_refresh(): cookie_refresh() if __name__ ==",") # 刷新cookie数量 def cookie_refresh(): while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >=","def cookie_refresh(): while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1)","import config import cookie_login from cookie_api import app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT,","redis import config import cookie_login from cookie_api import app red = redis.Redis( host=config.REDIS_HOST,","# -*- coding: utf-8 -*- # @Author: GXR # @CreateTime: 2022-01-20 # @UpdateTime:","@CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import redis import config import cookie_login from cookie_api","from cookie_api import app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) #","import cookie_login from cookie_api import app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True,","config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\"[cookie数量正常]-[%s]\" % len(cookie_list)) def run_cookie_refresh(): cookie_refresh() if __name__ == \"__main__\":","red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def cookie_refresh(): while","刷新cookie数量 def cookie_refresh(): while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break","import redis import config import cookie_login from cookie_api import app red = redis.Redis(","-*- # @Author: GXR # @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import redis import","if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\"[cookie数量正常]-[%s]\" % len(cookie_list)) def run_cookie_refresh(): cookie_refresh() if","2022-01-20 import redis import config import cookie_login from cookie_api import app red =","redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def cookie_refresh(): while 1: cookie_list","decode_responses=True, ) # 刷新cookie数量 def cookie_refresh(): while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list)","# 刷新cookie数量 def cookie_refresh(): while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT:","@UpdateTime: 2022-01-20 import redis import config import cookie_login from cookie_api import app red","break cookie_login.run_cookie_login(1) app.logger.info(\"[cookie数量正常]-[%s]\" % len(cookie_list)) def run_cookie_refresh(): cookie_refresh() if __name__ == \"__main__\": run_cookie_refresh()","len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\"[cookie数量正常]-[%s]\" % len(cookie_list)) def run_cookie_refresh(): cookie_refresh() if __name__","1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\"[cookie数量正常]-[%s]\" % len(cookie_list))","host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def cookie_refresh(): while 1: cookie_list =","# @UpdateTime: 2022-01-20 import redis import config import cookie_login from cookie_api import app","while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\"[cookie数量正常]-[%s]\" %","utf-8 -*- # @Author: GXR # @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import redis","# @Author: GXR # @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import redis import config","coding: utf-8 -*- # @Author: GXR # @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import","# @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import redis import config import cookie_login from","cookie_api import app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量","GXR # @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import redis import config import cookie_login","import app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def","port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def cookie_refresh(): while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE)","@Author: GXR # @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import redis import config import","cookie_refresh(): while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\"[cookie数量正常]-[%s]\"","config import cookie_login from cookie_api import app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB,","cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\"[cookie数量正常]-[%s]\" % len(cookie_list)) def","app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def cookie_refresh():","2022-01-20 # @UpdateTime: 2022-01-20 import redis import config import cookie_login from cookie_api import","cookie_login from cookie_api import app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, )"],"string":"[\n \"= redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def cookie_refresh(): while 1:\",\n \"red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\\\"[cookie数量正常]-[%s]\\\" % len(cookie_list)) def run_cookie_refresh(): cookie_refresh()\",\n \"db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def cookie_refresh(): while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if\",\n \"= red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\\\"[cookie数量正常]-[%s]\\\" % len(cookie_list)) def run_cookie_refresh():\",\n \"-*- coding: utf-8 -*- # @Author: GXR # @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20\",\n \">= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\\\"[cookie数量正常]-[%s]\\\" % len(cookie_list)) def run_cookie_refresh(): cookie_refresh() if __name__ ==\",\n \") # 刷新cookie数量 def cookie_refresh(): while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >=\",\n \"def cookie_refresh(): while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1)\",\n \"import config import cookie_login from cookie_api import app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT,\",\n \"redis import config import cookie_login from cookie_api import app red = redis.Redis( host=config.REDIS_HOST,\",\n \"# -*- coding: utf-8 -*- # @Author: GXR # @CreateTime: 2022-01-20 # @UpdateTime:\",\n \"@CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import redis import config import cookie_login from cookie_api\",\n \"from cookie_api import app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) #\",\n \"import cookie_login from cookie_api import app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True,\",\n \"config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\\\"[cookie数量正常]-[%s]\\\" % len(cookie_list)) def run_cookie_refresh(): cookie_refresh() if __name__ == \\\"__main__\\\":\",\n \"red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def cookie_refresh(): while\",\n \"刷新cookie数量 def cookie_refresh(): while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break\",\n \"import redis import config import cookie_login from cookie_api import app red = redis.Redis(\",\n \"-*- # @Author: GXR # @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import redis import\",\n \"if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\\\"[cookie数量正常]-[%s]\\\" % len(cookie_list)) def run_cookie_refresh(): cookie_refresh() if\",\n \"2022-01-20 import redis import config import cookie_login from cookie_api import app red =\",\n \"redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def cookie_refresh(): while 1: cookie_list\",\n \"decode_responses=True, ) # 刷新cookie数量 def cookie_refresh(): while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list)\",\n \"# 刷新cookie数量 def cookie_refresh(): while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT:\",\n \"@UpdateTime: 2022-01-20 import redis import config import cookie_login from cookie_api import app red\",\n \"break cookie_login.run_cookie_login(1) app.logger.info(\\\"[cookie数量正常]-[%s]\\\" % len(cookie_list)) def run_cookie_refresh(): cookie_refresh() if __name__ == \\\"__main__\\\": run_cookie_refresh()\",\n \"len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\\\"[cookie数量正常]-[%s]\\\" % len(cookie_list)) def run_cookie_refresh(): cookie_refresh() if __name__\",\n \"1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\\\"[cookie数量正常]-[%s]\\\" % len(cookie_list))\",\n \"host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def cookie_refresh(): while 1: cookie_list =\",\n \"# @UpdateTime: 2022-01-20 import redis import config import cookie_login from cookie_api import app\",\n \"while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\\\"[cookie数量正常]-[%s]\\\" %\",\n \"utf-8 -*- # @Author: GXR # @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import redis\",\n \"# @Author: GXR # @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import redis import config\",\n \"coding: utf-8 -*- # @Author: GXR # @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import\",\n \"# @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import redis import config import cookie_login from\",\n \"cookie_api import app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量\",\n \"GXR # @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import redis import config import cookie_login\",\n \"import app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def\",\n \"port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def cookie_refresh(): while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE)\",\n \"@Author: GXR # @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import redis import config import\",\n \"cookie_refresh(): while 1: cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\\\"[cookie数量正常]-[%s]\\\"\",\n \"config import cookie_login from cookie_api import app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB,\",\n \"cookie_list = red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\\\"[cookie数量正常]-[%s]\\\" % len(cookie_list)) def\",\n \"app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def cookie_refresh():\",\n \"2022-01-20 # @UpdateTime: 2022-01-20 import redis import config import cookie_login from cookie_api import\",\n \"cookie_login from cookie_api import app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, )\"\n]","isConversational":false}}},{"rowIdx":1995,"cells":{"ngram":{"kind":"list like","value":["TransientOnline from feemodel.app.pools import PoolsOnlineEstimator from feemodel.app.predict import Prediction from feemodel.app.simonline import SimOnline","import PoolsOnlineEstimator from feemodel.app.predict import Prediction from feemodel.app.simonline import SimOnline __all__ = [","feemodel.app.pools import PoolsOnlineEstimator from feemodel.app.predict import Prediction from feemodel.app.simonline import SimOnline __all__ =","import TransientOnline from feemodel.app.pools import PoolsOnlineEstimator from feemodel.app.predict import Prediction from feemodel.app.simonline import","feemodel.app.transient import TransientOnline from feemodel.app.pools import PoolsOnlineEstimator from feemodel.app.predict import Prediction from feemodel.app.simonline","from feemodel.app.pools import PoolsOnlineEstimator from feemodel.app.predict import Prediction from feemodel.app.simonline import SimOnline __all__","Prediction from feemodel.app.simonline import SimOnline __all__ = [ 'TransientOnline', 'PoolsOnlineEstimator', 'Prediction', 'SimOnline' ]","import Prediction from feemodel.app.simonline import SimOnline __all__ = [ 'TransientOnline', 'PoolsOnlineEstimator', 'Prediction', 'SimOnline'","PoolsOnlineEstimator from feemodel.app.predict import Prediction from feemodel.app.simonline import SimOnline __all__ = [ 'TransientOnline',","from feemodel.app.transient import TransientOnline from feemodel.app.pools import PoolsOnlineEstimator from feemodel.app.predict import Prediction from","feemodel.app.predict import Prediction from feemodel.app.simonline import SimOnline __all__ = [ 'TransientOnline', 'PoolsOnlineEstimator', 'Prediction',","from feemodel.app.predict import Prediction from feemodel.app.simonline import SimOnline __all__ = [ 'TransientOnline', 'PoolsOnlineEstimator',"],"string":"[\n \"TransientOnline from feemodel.app.pools import PoolsOnlineEstimator from feemodel.app.predict import Prediction from feemodel.app.simonline import SimOnline\",\n \"import PoolsOnlineEstimator from feemodel.app.predict import Prediction from feemodel.app.simonline import SimOnline __all__ = [\",\n \"feemodel.app.pools import PoolsOnlineEstimator from feemodel.app.predict import Prediction from feemodel.app.simonline import SimOnline __all__ =\",\n \"import TransientOnline from feemodel.app.pools import PoolsOnlineEstimator from feemodel.app.predict import Prediction from feemodel.app.simonline import\",\n \"feemodel.app.transient import TransientOnline from feemodel.app.pools import PoolsOnlineEstimator from feemodel.app.predict import Prediction from feemodel.app.simonline\",\n \"from feemodel.app.pools import PoolsOnlineEstimator from feemodel.app.predict import Prediction from feemodel.app.simonline import SimOnline __all__\",\n \"Prediction from feemodel.app.simonline import SimOnline __all__ = [ 'TransientOnline', 'PoolsOnlineEstimator', 'Prediction', 'SimOnline' ]\",\n \"import Prediction from feemodel.app.simonline import SimOnline __all__ = [ 'TransientOnline', 'PoolsOnlineEstimator', 'Prediction', 'SimOnline'\",\n \"PoolsOnlineEstimator from feemodel.app.predict import Prediction from feemodel.app.simonline import SimOnline __all__ = [ 'TransientOnline',\",\n \"from feemodel.app.transient import TransientOnline from feemodel.app.pools import PoolsOnlineEstimator from feemodel.app.predict import Prediction from\",\n \"feemodel.app.predict import Prediction from feemodel.app.simonline import SimOnline __all__ = [ 'TransientOnline', 'PoolsOnlineEstimator', 'Prediction',\",\n \"from feemodel.app.predict import Prediction from feemodel.app.simonline import SimOnline __all__ = [ 'TransientOnline', 'PoolsOnlineEstimator',\"\n]","isConversational":false}}},{"rowIdx":1996,"cells":{"ngram":{"kind":"list like","value":["import models from djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model):","permit = models.FileField(\"Permit\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False scope_prefix","SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False scope_prefix = 'subscribe_data' form_name = 'my_form' class","-*- coding: utf-8 -*- from __future__ import unicode_literals # start tutorial from django.db","False scope_prefix = 'subscribe_data' form_name = 'my_form' class Meta: model = SubscribeUser fields","NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False scope_prefix = 'subscribe_data' form_name = 'my_form' class Meta:","form_name = 'my_form' class Meta: model = SubscribeUser fields = ['full_name', 'avatar', 'permit']","models.FileField(\"Permit\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False scope_prefix = 'subscribe_data'","= models.CharField( \"<NAME>\", max_length=99) avatar = models.ImageField(\"Avatar\", blank=False, null=True) permit = models.FileField(\"Permit\", blank=True,","import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name = models.CharField( \"<NAME>\", max_length=99) avatar = models.ImageField(\"Avatar\", blank=False,","utf-8 -*- from __future__ import unicode_literals # start tutorial from django.db import models","unicode_literals # start tutorial from django.db import models from djng.forms import NgModelFormMixin, NgFormValidationMixin","__future__ import unicode_literals # start tutorial from django.db import models from djng.forms import","from djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name =","SubscribeUser(models.Model): full_name = models.CharField( \"<NAME>\", max_length=99) avatar = models.ImageField(\"Avatar\", blank=False, null=True) permit =","models.CharField( \"<NAME>\", max_length=99) avatar = models.ImageField(\"Avatar\", blank=False, null=True) permit = models.FileField(\"Permit\", blank=True, null=True)","# start tutorial from django.db import models from djng.forms import NgModelFormMixin, NgFormValidationMixin from","NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name = models.CharField( \"<NAME>\", max_length=99)","from django.db import models from djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm","= 'subscribe_data' form_name = 'my_form' class Meta: model = SubscribeUser fields = ['full_name',","import unicode_literals # start tutorial from django.db import models from djng.forms import NgModelFormMixin,","import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name = models.CharField( \"<NAME>\",","# -*- coding: utf-8 -*- from __future__ import unicode_literals # start tutorial from","djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name = models.CharField( \"<NAME>\", max_length=99) avatar = models.ImageField(\"Avatar\",","= False scope_prefix = 'subscribe_data' form_name = 'my_form' class Meta: model = SubscribeUser","= models.FileField(\"Permit\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False scope_prefix =","Bootstrap3ModelForm): use_required_attribute = False scope_prefix = 'subscribe_data' form_name = 'my_form' class Meta: model","tutorial from django.db import models from djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import","blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False scope_prefix = 'subscribe_data' form_name","class SubscribeUser(models.Model): full_name = models.CharField( \"<NAME>\", max_length=99) avatar = models.ImageField(\"Avatar\", blank=False, null=True) permit","null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False scope_prefix = 'subscribe_data' form_name =","avatar = models.ImageField(\"Avatar\", blank=False, null=True) permit = models.FileField(\"Permit\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin,","from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name = models.CharField( \"<NAME>\", max_length=99) avatar =","blank=False, null=True) permit = models.FileField(\"Permit\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute =","= models.ImageField(\"Avatar\", blank=False, null=True) permit = models.FileField(\"Permit\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm):","start tutorial from django.db import models from djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms","class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False scope_prefix = 'subscribe_data' form_name = 'my_form'","scope_prefix = 'subscribe_data' form_name = 'my_form' class Meta: model = SubscribeUser fields =","from __future__ import unicode_literals # start tutorial from django.db import models from djng.forms","Bootstrap3ModelForm class SubscribeUser(models.Model): full_name = models.CharField( \"<NAME>\", max_length=99) avatar = models.ImageField(\"Avatar\", blank=False, null=True)","use_required_attribute = False scope_prefix = 'subscribe_data' form_name = 'my_form' class Meta: model =","'subscribe_data' form_name = 'my_form' class Meta: model = SubscribeUser fields = ['full_name', 'avatar',","models from djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name","full_name = models.CharField( \"<NAME>\", max_length=99) avatar = models.ImageField(\"Avatar\", blank=False, null=True) permit = models.FileField(\"Permit\",","djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name = models.CharField(","\"<NAME>\", max_length=99) avatar = models.ImageField(\"Avatar\", blank=False, null=True) permit = models.FileField(\"Permit\", blank=True, null=True) class","models.ImageField(\"Avatar\", blank=False, null=True) permit = models.FileField(\"Permit\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute","max_length=99) avatar = models.ImageField(\"Avatar\", blank=False, null=True) permit = models.FileField(\"Permit\", blank=True, null=True) class SubscribeForm(NgModelFormMixin,","NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name = models.CharField( \"<NAME>\", max_length=99) avatar","null=True) permit = models.FileField(\"Permit\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False","-*- from __future__ import unicode_literals # start tutorial from django.db import models from","django.db import models from djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class","coding: utf-8 -*- from __future__ import unicode_literals # start tutorial from django.db import"],"string":"[\n \"import models from djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model):\",\n \"permit = models.FileField(\\\"Permit\\\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False scope_prefix\",\n \"SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False scope_prefix = 'subscribe_data' form_name = 'my_form' class\",\n \"-*- coding: utf-8 -*- from __future__ import unicode_literals # start tutorial from django.db\",\n \"False scope_prefix = 'subscribe_data' form_name = 'my_form' class Meta: model = SubscribeUser fields\",\n \"NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False scope_prefix = 'subscribe_data' form_name = 'my_form' class Meta:\",\n \"form_name = 'my_form' class Meta: model = SubscribeUser fields = ['full_name', 'avatar', 'permit']\",\n \"models.FileField(\\\"Permit\\\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False scope_prefix = 'subscribe_data'\",\n \"= models.CharField( \\\"<NAME>\\\", max_length=99) avatar = models.ImageField(\\\"Avatar\\\", blank=False, null=True) permit = models.FileField(\\\"Permit\\\", blank=True,\",\n \"import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name = models.CharField( \\\"<NAME>\\\", max_length=99) avatar = models.ImageField(\\\"Avatar\\\", blank=False,\",\n \"utf-8 -*- from __future__ import unicode_literals # start tutorial from django.db import models\",\n \"unicode_literals # start tutorial from django.db import models from djng.forms import NgModelFormMixin, NgFormValidationMixin\",\n \"__future__ import unicode_literals # start tutorial from django.db import models from djng.forms import\",\n \"from djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name =\",\n \"SubscribeUser(models.Model): full_name = models.CharField( \\\"<NAME>\\\", max_length=99) avatar = models.ImageField(\\\"Avatar\\\", blank=False, null=True) permit =\",\n \"models.CharField( \\\"<NAME>\\\", max_length=99) avatar = models.ImageField(\\\"Avatar\\\", blank=False, null=True) permit = models.FileField(\\\"Permit\\\", blank=True, null=True)\",\n \"# start tutorial from django.db import models from djng.forms import NgModelFormMixin, NgFormValidationMixin from\",\n \"NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name = models.CharField( \\\"<NAME>\\\", max_length=99)\",\n \"from django.db import models from djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm\",\n \"= 'subscribe_data' form_name = 'my_form' class Meta: model = SubscribeUser fields = ['full_name',\",\n \"import unicode_literals # start tutorial from django.db import models from djng.forms import NgModelFormMixin,\",\n \"import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name = models.CharField( \\\"<NAME>\\\",\",\n \"# -*- coding: utf-8 -*- from __future__ import unicode_literals # start tutorial from\",\n \"djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name = models.CharField( \\\"<NAME>\\\", max_length=99) avatar = models.ImageField(\\\"Avatar\\\",\",\n \"= False scope_prefix = 'subscribe_data' form_name = 'my_form' class Meta: model = SubscribeUser\",\n \"= models.FileField(\\\"Permit\\\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False scope_prefix =\",\n \"Bootstrap3ModelForm): use_required_attribute = False scope_prefix = 'subscribe_data' form_name = 'my_form' class Meta: model\",\n \"tutorial from django.db import models from djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import\",\n \"blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False scope_prefix = 'subscribe_data' form_name\",\n \"class SubscribeUser(models.Model): full_name = models.CharField( \\\"<NAME>\\\", max_length=99) avatar = models.ImageField(\\\"Avatar\\\", blank=False, null=True) permit\",\n \"null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False scope_prefix = 'subscribe_data' form_name =\",\n \"avatar = models.ImageField(\\\"Avatar\\\", blank=False, null=True) permit = models.FileField(\\\"Permit\\\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin,\",\n \"from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name = models.CharField( \\\"<NAME>\\\", max_length=99) avatar =\",\n \"blank=False, null=True) permit = models.FileField(\\\"Permit\\\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute =\",\n \"= models.ImageField(\\\"Avatar\\\", blank=False, null=True) permit = models.FileField(\\\"Permit\\\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm):\",\n \"start tutorial from django.db import models from djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms\",\n \"class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False scope_prefix = 'subscribe_data' form_name = 'my_form'\",\n \"scope_prefix = 'subscribe_data' form_name = 'my_form' class Meta: model = SubscribeUser fields =\",\n \"from __future__ import unicode_literals # start tutorial from django.db import models from djng.forms\",\n \"Bootstrap3ModelForm class SubscribeUser(models.Model): full_name = models.CharField( \\\"<NAME>\\\", max_length=99) avatar = models.ImageField(\\\"Avatar\\\", blank=False, null=True)\",\n \"use_required_attribute = False scope_prefix = 'subscribe_data' form_name = 'my_form' class Meta: model =\",\n \"'subscribe_data' form_name = 'my_form' class Meta: model = SubscribeUser fields = ['full_name', 'avatar',\",\n \"models from djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name\",\n \"full_name = models.CharField( \\\"<NAME>\\\", max_length=99) avatar = models.ImageField(\\\"Avatar\\\", blank=False, null=True) permit = models.FileField(\\\"Permit\\\",\",\n \"djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name = models.CharField(\",\n \"\\\"<NAME>\\\", max_length=99) avatar = models.ImageField(\\\"Avatar\\\", blank=False, null=True) permit = models.FileField(\\\"Permit\\\", blank=True, null=True) class\",\n \"models.ImageField(\\\"Avatar\\\", blank=False, null=True) permit = models.FileField(\\\"Permit\\\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute\",\n \"max_length=99) avatar = models.ImageField(\\\"Avatar\\\", blank=False, null=True) permit = models.FileField(\\\"Permit\\\", blank=True, null=True) class SubscribeForm(NgModelFormMixin,\",\n \"NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model): full_name = models.CharField( \\\"<NAME>\\\", max_length=99) avatar\",\n \"null=True) permit = models.FileField(\\\"Permit\\\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3ModelForm): use_required_attribute = False\",\n \"-*- from __future__ import unicode_literals # start tutorial from django.db import models from\",\n \"django.db import models from djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class\",\n \"coding: utf-8 -*- from __future__ import unicode_literals # start tutorial from django.db import\"\n]","isConversational":false}}},{"rowIdx":1997,"cells":{"ngram":{"kind":"list like","value":["distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY","add_broadcast_compute(input_a, input_b): \"\"\"Call the add op from topi\"\"\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a,","License for the # specific language governing permissions and limitations # under the","str, input_b_layout: str, op_name: str, ): \"\"\"Schedule for input and output layout nhwc-8h2w32c2w-2d","= tir.Schedule(func) block_dict = {\"add\": \"T_add\", \"subtract\": \"T_subtract\", \"multiply\": \"T_multiply\"} block = s.get_block(block_dict[op_name])","(ASF) under one # or more contributor license agreements. See the NOTICE file","input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\"read\", 1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\"write\", 0),","= {\"add\": \"T_add\", \"subtract\": \"T_subtract\", \"multiply\": \"T_multiply\"} block = s.get_block(block_dict[op_name]) if input_a_layout ==","software distributed under the License is distributed on an # \"AS IS\" BASIS,","the License. # pylint: disable=invalid-name \"\"\"Compute and schedule for add, multiply, subtract slice","tvm import tir from tvm import topi from ..utils import get_layout_transform_fn def add_broadcast_compute(input_a,","from tvm import te from tvm import tir from tvm import topi from","Please note the following assumptions made by the implementation: 1) The inputs will","under the License is distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES","additional information # regarding copyright ownership. The ASF licenses this file # to","# \"License\"); you may not use this file except in compliance # with","the axis that needs broadcasting.\"\"\" from tvm import te from tvm import tir","Licensed to the Apache Software Foundation (ASF) under one # or more contributor","or more contributor license agreements. See the NOTICE file # distributed with this","multiply_broadcast_compute(input_a, input_b): \"\"\"Call the multiply op from topi\"\"\" return topi.multiply(input_a, input_b) def tir_broadcast_schedule(","will be multiple of crouton layout except for the axis that needs broadcasting.\"\"\"","h, w, c = s.get_loops(block) h_o, h_i = s.split(h, [None, 8]) w_o, w_i","\"nhwc-8h2w32c2w-2d\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\"read\", 1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\"write\",","OR CONDITIONS OF ANY # KIND, either express or implied. See the License","Foundation (ASF) under one # or more contributor license agreements. See the NOTICE","Apache Software Foundation (ASF) under one # or more contributor license agreements. See","== \"nhwc-8h2w32c2w-2d\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\"read\", 0), index_map=input_a_transformed_layout) if input_b_layout == \"nhwc-8h2w32c2w-2d\":","4]) c_o, c_i = s.split(c, [None, 32]) wio, wii = s.split(w_i, [None, 2])","\"\"\"Call the subtract op from topi\"\"\" return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b): \"\"\"Call","in compliance # with the License. You may obtain a copy of the","implied. See the License for the # specific language governing permissions and limitations","or agreed to in writing, # software distributed under the License is distributed","s.transform_layout(block, buffer=(\"write\", 0), index_map=output_transformed_layout) n, h, w, c = s.get_loops(block) h_o, h_i =","tvm import topi from ..utils import get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \"\"\"Call the add","license agreements. See the NOTICE file # distributed with this work for additional","and limitations # under the License. # pylint: disable=invalid-name \"\"\"Compute and schedule for","\"License\"); you may not use this file except in compliance # with the","if input_a_layout == \"nhwc-8h2w32c2w-2d\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\"read\", 0), index_map=input_a_transformed_layout) if input_b_layout","if input_b_layout == \"nhwc-8h2w32c2w-2d\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\"read\", 1), index_map=input_b_transformed_layout) output_transformed_layout =","= s.get_block(block_dict[op_name]) if input_a_layout == \"nhwc-8h2w32c2w-2d\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\"read\", 0), index_map=input_a_transformed_layout)","either express or implied. See the License for the # specific language governing","made by the implementation: 1) The inputs will be multiple of crouton layout","[None, 4]) c_o, c_i = s.split(c, [None, 32]) wio, wii = s.split(w_i, [None,","not use this file except in compliance # with the License. You may","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to","# or more contributor license agreements. See the NOTICE file # distributed with","return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b): \"\"\"Call the subtract op from topi\"\"\" return","s.get_block(block_dict[op_name]) if input_a_layout == \"nhwc-8h2w32c2w-2d\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\"read\", 0), index_map=input_a_transformed_layout) if","subtract_broadcast_compute(input_a, input_b): \"\"\"Call the subtract op from topi\"\"\" return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a,","WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the","implementation: 1) The inputs will be multiple of crouton layout except for the","import te from tvm import tir from tvm import topi from ..utils import","\"\"\"Schedule for input and output layout nhwc-8h2w32c2w-2d considering broadcast\"\"\" func = te.create_prim_func([input_a, input_b,","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","buffer=(\"read\", 1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\"write\", 0), index_map=output_transformed_layout) n, h, w,","and schedule for add, multiply, subtract slice op Please note the following assumptions","topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m, input_a, input_b, output_layout: str, input_a_layout: str, input_b_layout: str,","from topi\"\"\" return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b): \"\"\"Call the multiply op from","# regarding copyright ownership. The ASF licenses this file # to you under","[None, 8]) w_o, w_i = s.split(w, [None, 4]) c_o, c_i = s.split(c, [None,","= s.split(w, [None, 4]) c_o, c_i = s.split(c, [None, 32]) wio, wii =","more contributor license agreements. See the NOTICE file # distributed with this work","that needs broadcasting.\"\"\" from tvm import te from tvm import tir from tvm","input_b): \"\"\"Call the subtract op from topi\"\"\" return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b):","inputs will be multiple of crouton layout except for the axis that needs","is distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF","0), index_map=input_a_transformed_layout) if input_b_layout == \"nhwc-8h2w32c2w-2d\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\"read\", 1), index_map=input_b_transformed_layout)","governing permissions and limitations # under the License. # pylint: disable=invalid-name \"\"\"Compute and","CONDITIONS OF ANY # KIND, either express or implied. See the License for","work for additional information # regarding copyright ownership. The ASF licenses this file","c_i = s.split(c, [None, 32]) wio, wii = s.split(w_i, [None, 2]) s.reorder(n, h_o,","index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\"write\", 0), index_map=output_transformed_layout) n, h, w, c =","the subtract op from topi\"\"\" return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b): \"\"\"Call the","licenses this file # to you under the Apache License, Version 2.0 (the","# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either","\"subtract\": \"T_subtract\", \"multiply\": \"T_multiply\"} block = s.get_block(block_dict[op_name]) if input_a_layout == \"nhwc-8h2w32c2w-2d\": input_a_transformed_layout =","[None, 2]) s.reorder(n, h_o, w_o, c_o, h_i, wio, c_i, wii) fused = s.fuse(c_i,","express or implied. See the License for the # specific language governing permissions","License. # pylint: disable=invalid-name \"\"\"Compute and schedule for add, multiply, subtract slice op","following assumptions made by the implementation: 1) The inputs will be multiple of","You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","multiple of crouton layout except for the axis that needs broadcasting.\"\"\" from tvm","= te.create_prim_func([input_a, input_b, out_m]) s = tir.Schedule(func) block_dict = {\"add\": \"T_add\", \"subtract\": \"T_subtract\",","you under the Apache License, Version 2.0 (the # \"License\"); you may not","multiply, subtract slice op Please note the following assumptions made by the implementation:","License is distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS","def multiply_broadcast_compute(input_a, input_b): \"\"\"Call the multiply op from topi\"\"\" return topi.multiply(input_a, input_b) def","get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\"read\", 1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\"write\", 0), index_map=output_transformed_layout) n,","input_b_layout == \"nhwc-8h2w32c2w-2d\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\"read\", 1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout)","return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b): \"\"\"Call the multiply op from topi\"\"\" return","= get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\"read\", 0), index_map=input_a_transformed_layout) if input_b_layout == \"nhwc-8h2w32c2w-2d\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout)","input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\"read\", 0), index_map=input_a_transformed_layout) if input_b_layout == \"nhwc-8h2w32c2w-2d\": input_b_transformed_layout =","for the axis that needs broadcasting.\"\"\" from tvm import te from tvm import","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","nhwc-8h2w32c2w-2d considering broadcast\"\"\" func = te.create_prim_func([input_a, input_b, out_m]) s = tir.Schedule(func) block_dict =","s.get_loops(block) h_o, h_i = s.split(h, [None, 8]) w_o, w_i = s.split(w, [None, 4])","under the Apache License, Version 2.0 (the # \"License\"); you may not use","\"nhwc-8h2w32c2w-2d\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\"read\", 0), index_map=input_a_transformed_layout) if input_b_layout == \"nhwc-8h2w32c2w-2d\": input_b_transformed_layout","== \"nhwc-8h2w32c2w-2d\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\"read\", 1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block,","32]) wio, wii = s.split(w_i, [None, 2]) s.reorder(n, h_o, w_o, c_o, h_i, wio,","input_b, output_layout: str, input_a_layout: str, input_b_layout: str, op_name: str, ): \"\"\"Schedule for input","License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","str, ): \"\"\"Schedule for input and output layout nhwc-8h2w32c2w-2d considering broadcast\"\"\" func =","..utils import get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \"\"\"Call the add op from topi\"\"\" return","func = te.create_prim_func([input_a, input_b, out_m]) s = tir.Schedule(func) block_dict = {\"add\": \"T_add\", \"subtract\":","op from topi\"\"\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b): \"\"\"Call the subtract op","or implied. See the License for the # specific language governing permissions and","block_dict = {\"add\": \"T_add\", \"subtract\": \"T_subtract\", \"multiply\": \"T_multiply\"} block = s.get_block(block_dict[op_name]) if input_a_layout","distributed under the License is distributed on an # \"AS IS\" BASIS, WITHOUT","topi\"\"\" return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b): \"\"\"Call the multiply op from topi\"\"\"","add op from topi\"\"\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b): \"\"\"Call the subtract","layout nhwc-8h2w32c2w-2d considering broadcast\"\"\" func = te.create_prim_func([input_a, input_b, out_m]) s = tir.Schedule(func) block_dict","[None, 32]) wio, wii = s.split(w_i, [None, 2]) s.reorder(n, h_o, w_o, c_o, h_i,","def subtract_broadcast_compute(input_a, input_b): \"\"\"Call the subtract op from topi\"\"\" return topi.subtract(input_a, input_b) def","tir.Schedule(func) block_dict = {\"add\": \"T_add\", \"subtract\": \"T_subtract\", \"multiply\": \"T_multiply\"} block = s.get_block(block_dict[op_name]) if","Unless required by applicable law or agreed to in writing, # software distributed","str, op_name: str, ): \"\"\"Schedule for input and output layout nhwc-8h2w32c2w-2d considering broadcast\"\"\"","distributed with this work for additional information # regarding copyright ownership. The ASF","import get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \"\"\"Call the add op from topi\"\"\" return topi.add(input_a,","from ..utils import get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \"\"\"Call the add op from topi\"\"\"","regarding copyright ownership. The ASF licenses this file # to you under the","# KIND, either express or implied. See the License for the # specific","output layout nhwc-8h2w32c2w-2d considering broadcast\"\"\" func = te.create_prim_func([input_a, input_b, out_m]) s = tir.Schedule(func)","this work for additional information # regarding copyright ownership. The ASF licenses this","and output layout nhwc-8h2w32c2w-2d considering broadcast\"\"\" func = te.create_prim_func([input_a, input_b, out_m]) s =","ANY # KIND, either express or implied. See the License for the #","contributor license agreements. See the NOTICE file # distributed with this work for","language governing permissions and limitations # under the License. # pylint: disable=invalid-name \"\"\"Compute","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","tir from tvm import topi from ..utils import get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \"\"\"Call","input_a_layout: str, input_b_layout: str, op_name: str, ): \"\"\"Schedule for input and output layout","= get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\"write\", 0), index_map=output_transformed_layout) n, h, w, c = s.get_loops(block) h_o,","broadcast\"\"\" func = te.create_prim_func([input_a, input_b, out_m]) s = tir.Schedule(func) block_dict = {\"add\": \"T_add\",","by the implementation: 1) The inputs will be multiple of crouton layout except","permissions and limitations # under the License. # pylint: disable=invalid-name \"\"\"Compute and schedule","s.split(h, [None, 8]) w_o, w_i = s.split(w, [None, 4]) c_o, c_i = s.split(c,","considering broadcast\"\"\" func = te.create_prim_func([input_a, input_b, out_m]) s = tir.Schedule(func) block_dict = {\"add\":","h_i = s.split(h, [None, 8]) w_o, w_i = s.split(w, [None, 4]) c_o, c_i","the multiply op from topi\"\"\" return topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m, input_a, input_b,","input_b) def multiply_broadcast_compute(input_a, input_b): \"\"\"Call the multiply op from topi\"\"\" return topi.multiply(input_a, input_b)","See the License for the # specific language governing permissions and limitations #","IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or","2.0 (the # \"License\"); you may not use this file except in compliance","buffer=(\"read\", 0), index_map=input_a_transformed_layout) if input_b_layout == \"nhwc-8h2w32c2w-2d\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\"read\", 1),","0), index_map=output_transformed_layout) n, h, w, c = s.get_loops(block) h_o, h_i = s.split(h, [None,","c_o, c_i = s.split(c, [None, 32]) wio, wii = s.split(w_i, [None, 2]) s.reorder(n,","s.reorder(n, h_o, w_o, c_o, h_i, wio, c_i, wii) fused = s.fuse(c_i, wii) s.vectorize(fused)","topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b): \"\"\"Call the multiply op from topi\"\"\" return topi.multiply(input_a,","KIND, either express or implied. See the License for the # specific language","topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b): \"\"\"Call the subtract op from topi\"\"\" return topi.subtract(input_a,","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","input_b_layout: str, op_name: str, ): \"\"\"Schedule for input and output layout nhwc-8h2w32c2w-2d considering","layout except for the axis that needs broadcasting.\"\"\" from tvm import te from","input_b) def subtract_broadcast_compute(input_a, input_b): \"\"\"Call the subtract op from topi\"\"\" return topi.subtract(input_a, input_b)","= s.get_loops(block) h_o, h_i = s.split(h, [None, 8]) w_o, w_i = s.split(w, [None,","compliance # with the License. You may obtain a copy of the License","te from tvm import tir from tvm import topi from ..utils import get_layout_transform_fn","WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See","with the License. You may obtain a copy of the License at #","= s.split(c, [None, 32]) wio, wii = s.split(w_i, [None, 2]) s.reorder(n, h_o, w_o,","information # regarding copyright ownership. The ASF licenses this file # to you","may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","subtract slice op Please note the following assumptions made by the implementation: 1)","one # or more contributor license agreements. See the NOTICE file # distributed","tir_broadcast_schedule( out_m, input_a, input_b, output_layout: str, input_a_layout: str, input_b_layout: str, op_name: str, ):","input and output layout nhwc-8h2w32c2w-2d considering broadcast\"\"\" func = te.create_prim_func([input_a, input_b, out_m]) s","1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\"write\", 0), index_map=output_transformed_layout) n, h, w, c","except in compliance # with the License. You may obtain a copy of","disable=invalid-name \"\"\"Compute and schedule for add, multiply, subtract slice op Please note the","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,","you may not use this file except in compliance # with the License.","\"T_add\", \"subtract\": \"T_subtract\", \"multiply\": \"T_multiply\"} block = s.get_block(block_dict[op_name]) if input_a_layout == \"nhwc-8h2w32c2w-2d\": input_a_transformed_layout","\"T_multiply\"} block = s.get_block(block_dict[op_name]) if input_a_layout == \"nhwc-8h2w32c2w-2d\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\"read\",","{\"add\": \"T_add\", \"subtract\": \"T_subtract\", \"multiply\": \"T_multiply\"} block = s.get_block(block_dict[op_name]) if input_a_layout == \"nhwc-8h2w32c2w-2d\":","an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND,","the add op from topi\"\"\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b): \"\"\"Call the","output_layout: str, input_a_layout: str, input_b_layout: str, op_name: str, ): \"\"\"Schedule for input and","n, h, w, c = s.get_loops(block) h_o, h_i = s.split(h, [None, 8]) w_o,","schedule for add, multiply, subtract slice op Please note the following assumptions made","this file # to you under the Apache License, Version 2.0 (the #","# # Unless required by applicable law or agreed to in writing, #","broadcasting.\"\"\" from tvm import te from tvm import tir from tvm import topi","block = s.get_block(block_dict[op_name]) if input_a_layout == \"nhwc-8h2w32c2w-2d\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\"read\", 0),","Version 2.0 (the # \"License\"); you may not use this file except in","for the # specific language governing permissions and limitations # under the License.","= s.split(w_i, [None, 2]) s.reorder(n, h_o, w_o, c_o, h_i, wio, c_i, wii) fused","tvm import te from tvm import tir from tvm import topi from ..utils","OF ANY # KIND, either express or implied. See the License for the","BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied.","slice op Please note the following assumptions made by the implementation: 1) The","# specific language governing permissions and limitations # under the License. # pylint:","pylint: disable=invalid-name \"\"\"Compute and schedule for add, multiply, subtract slice op Please note","# pylint: disable=invalid-name \"\"\"Compute and schedule for add, multiply, subtract slice op Please","topi\"\"\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b): \"\"\"Call the subtract op from topi\"\"\"","note the following assumptions made by the implementation: 1) The inputs will be","1) The inputs will be multiple of crouton layout except for the axis","index_map=output_transformed_layout) n, h, w, c = s.get_loops(block) h_o, h_i = s.split(h, [None, 8])","License, Version 2.0 (the # \"License\"); you may not use this file except","input_b, out_m]) s = tir.Schedule(func) block_dict = {\"add\": \"T_add\", \"subtract\": \"T_subtract\", \"multiply\": \"T_multiply\"}","\"\"\"Call the multiply op from topi\"\"\" return topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m, input_a,","this file except in compliance # with the License. You may obtain a","under the License. # pylint: disable=invalid-name \"\"\"Compute and schedule for add, multiply, subtract","axis that needs broadcasting.\"\"\" from tvm import te from tvm import tir from","for input and output layout nhwc-8h2w32c2w-2d considering broadcast\"\"\" func = te.create_prim_func([input_a, input_b, out_m])","may not use this file except in compliance # with the License. You","\"T_subtract\", \"multiply\": \"T_multiply\"} block = s.get_block(block_dict[op_name]) if input_a_layout == \"nhwc-8h2w32c2w-2d\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout)","def add_broadcast_compute(input_a, input_b): \"\"\"Call the add op from topi\"\"\" return topi.add(input_a, input_b) def","ASF licenses this file # to you under the Apache License, Version 2.0","get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\"write\", 0), index_map=output_transformed_layout) n, h, w, c = s.get_loops(block) h_o, h_i","from tvm import tir from tvm import topi from ..utils import get_layout_transform_fn def","# distributed with this work for additional information # regarding copyright ownership. The","= get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\"read\", 1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\"write\", 0), index_map=output_transformed_layout)","on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY #","8]) w_o, w_i = s.split(w, [None, 4]) c_o, c_i = s.split(c, [None, 32])","with this work for additional information # regarding copyright ownership. The ASF licenses","s.transform_layout(block, buffer=(\"read\", 0), index_map=input_a_transformed_layout) if input_b_layout == \"nhwc-8h2w32c2w-2d\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\"read\",","the License. You may obtain a copy of the License at # #","s.split(w, [None, 4]) c_o, c_i = s.split(c, [None, 32]) wio, wii = s.split(w_i,","agreements. See the NOTICE file # distributed with this work for additional information","writing, # software distributed under the License is distributed on an # \"AS","The inputs will be multiple of crouton layout except for the axis that","2]) s.reorder(n, h_o, w_o, c_o, h_i, wio, c_i, wii) fused = s.fuse(c_i, wii)","NOTICE file # distributed with this work for additional information # regarding copyright","out_m, input_a, input_b, output_layout: str, input_a_layout: str, input_b_layout: str, op_name: str, ): \"\"\"Schedule","input_b): \"\"\"Call the multiply op from topi\"\"\" return topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m,","assumptions made by the implementation: 1) The inputs will be multiple of crouton","be multiple of crouton layout except for the axis that needs broadcasting.\"\"\" from","the Apache License, Version 2.0 (the # \"License\"); you may not use this","for add, multiply, subtract slice op Please note the following assumptions made by","add, multiply, subtract slice op Please note the following assumptions made by the","s.split(c, [None, 32]) wio, wii = s.split(w_i, [None, 2]) s.reorder(n, h_o, w_o, c_o,","the following assumptions made by the implementation: 1) The inputs will be multiple","The ASF licenses this file # to you under the Apache License, Version","file except in compliance # with the License. You may obtain a copy","output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\"write\", 0), index_map=output_transformed_layout) n, h, w, c = s.get_loops(block)","return topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m, input_a, input_b, output_layout: str, input_a_layout: str, input_b_layout:","import topi from ..utils import get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \"\"\"Call the add op","file # to you under the Apache License, Version 2.0 (the # \"License\");","s = tir.Schedule(func) block_dict = {\"add\": \"T_add\", \"subtract\": \"T_subtract\", \"multiply\": \"T_multiply\"} block =","w_o, c_o, h_i, wio, c_i, wii) fused = s.fuse(c_i, wii) s.vectorize(fused) return s","w_i = s.split(w, [None, 4]) c_o, c_i = s.split(c, [None, 32]) wio, wii","s.split(w_i, [None, 2]) s.reorder(n, h_o, w_o, c_o, h_i, wio, c_i, wii) fused =","s.transform_layout(block, buffer=(\"read\", 1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\"write\", 0), index_map=output_transformed_layout) n, h,","(the # \"License\"); you may not use this file except in compliance #","of crouton layout except for the axis that needs broadcasting.\"\"\" from tvm import","from tvm import topi from ..utils import get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \"\"\"Call the","op from topi\"\"\" return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b): \"\"\"Call the multiply op","\"\"\"Call the add op from topi\"\"\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b): \"\"\"Call","index_map=input_a_transformed_layout) if input_b_layout == \"nhwc-8h2w32c2w-2d\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\"read\", 1), index_map=input_b_transformed_layout) output_transformed_layout","get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\"read\", 0), index_map=input_a_transformed_layout) if input_b_layout == \"nhwc-8h2w32c2w-2d\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block,","law or agreed to in writing, # software distributed under the License is","# under the License. # pylint: disable=invalid-name \"\"\"Compute and schedule for add, multiply,","input_b): \"\"\"Call the add op from topi\"\"\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b):","specific language governing permissions and limitations # under the License. # pylint: disable=invalid-name","# software distributed under the License is distributed on an # \"AS IS\"","to you under the Apache License, Version 2.0 (the # \"License\"); you may","h_o, h_i = s.split(h, [None, 8]) w_o, w_i = s.split(w, [None, 4]) c_o,","file # distributed with this work for additional information # regarding copyright ownership.","# Licensed to the Apache Software Foundation (ASF) under one # or more","copyright ownership. The ASF licenses this file # to you under the Apache","ownership. The ASF licenses this file # to you under the Apache License,","from topi\"\"\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b): \"\"\"Call the subtract op from","str, input_a_layout: str, input_b_layout: str, op_name: str, ): \"\"\"Schedule for input and output","from topi\"\"\" return topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m, input_a, input_b, output_layout: str, input_a_layout:","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","# Unless required by applicable law or agreed to in writing, # software","get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \"\"\"Call the add op from topi\"\"\" return topi.add(input_a, input_b)","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","wio, wii = s.split(w_i, [None, 2]) s.reorder(n, h_o, w_o, c_o, h_i, wio, c_i,","to in writing, # software distributed under the License is distributed on an","agreed to in writing, # software distributed under the License is distributed on","out_m]) s = tir.Schedule(func) block_dict = {\"add\": \"T_add\", \"subtract\": \"T_subtract\", \"multiply\": \"T_multiply\"} block","te.create_prim_func([input_a, input_b, out_m]) s = tir.Schedule(func) block_dict = {\"add\": \"T_add\", \"subtract\": \"T_subtract\", \"multiply\":","\"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express","crouton layout except for the axis that needs broadcasting.\"\"\" from tvm import te","op_name: str, ): \"\"\"Schedule for input and output layout nhwc-8h2w32c2w-2d considering broadcast\"\"\" func","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","\"\"\"Compute and schedule for add, multiply, subtract slice op Please note the following","to the Apache Software Foundation (ASF) under one # or more contributor license","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in","w, c = s.get_loops(block) h_o, h_i = s.split(h, [None, 8]) w_o, w_i =","wii = s.split(w_i, [None, 2]) s.reorder(n, h_o, w_o, c_o, h_i, wio, c_i, wii)","use this file except in compliance # with the License. You may obtain","input_b) def tir_broadcast_schedule( out_m, input_a, input_b, output_layout: str, input_a_layout: str, input_b_layout: str, op_name:","\"multiply\": \"T_multiply\"} block = s.get_block(block_dict[op_name]) if input_a_layout == \"nhwc-8h2w32c2w-2d\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block,","Software Foundation (ASF) under one # or more contributor license agreements. See the","the License is distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR","topi from ..utils import get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \"\"\"Call the add op from","input_a, input_b, output_layout: str, input_a_layout: str, input_b_layout: str, op_name: str, ): \"\"\"Schedule for","the implementation: 1) The inputs will be multiple of crouton layout except for","the # specific language governing permissions and limitations # under the License. #","See the NOTICE file # distributed with this work for additional information #","needs broadcasting.\"\"\" from tvm import te from tvm import tir from tvm import","the NOTICE file # distributed with this work for additional information # regarding","in writing, # software distributed under the License is distributed on an #","the Apache Software Foundation (ASF) under one # or more contributor license agreements.","subtract op from topi\"\"\" return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b): \"\"\"Call the multiply","buffer=(\"write\", 0), index_map=output_transformed_layout) n, h, w, c = s.get_loops(block) h_o, h_i = s.split(h,","topi\"\"\" return topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m, input_a, input_b, output_layout: str, input_a_layout: str,","= s.split(h, [None, 8]) w_o, w_i = s.split(w, [None, 4]) c_o, c_i =","except for the axis that needs broadcasting.\"\"\" from tvm import te from tvm","import tir from tvm import topi from ..utils import get_layout_transform_fn def add_broadcast_compute(input_a, input_b):","input_a_layout == \"nhwc-8h2w32c2w-2d\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\"read\", 0), index_map=input_a_transformed_layout) if input_b_layout ==","op from topi\"\"\" return topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m, input_a, input_b, output_layout: str,","multiply op from topi\"\"\" return topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m, input_a, input_b, output_layout:","# with the License. You may obtain a copy of the License at","c = s.get_loops(block) h_o, h_i = s.split(h, [None, 8]) w_o, w_i = s.split(w,","Apache License, Version 2.0 (the # \"License\"); you may not use this file","under one # or more contributor license agreements. See the NOTICE file #","op Please note the following assumptions made by the implementation: 1) The inputs","# to you under the Apache License, Version 2.0 (the # \"License\"); you","required by applicable law or agreed to in writing, # software distributed under","w_o, w_i = s.split(w, [None, 4]) c_o, c_i = s.split(c, [None, 32]) wio,","h_o, w_o, c_o, h_i, wio, c_i, wii) fused = s.fuse(c_i, wii) s.vectorize(fused) return","by applicable law or agreed to in writing, # software distributed under the","for additional information # regarding copyright ownership. The ASF licenses this file #","the License for the # specific language governing permissions and limitations # under","applicable law or agreed to in writing, # software distributed under the License","limitations # under the License. # pylint: disable=invalid-name \"\"\"Compute and schedule for add,","def tir_broadcast_schedule( out_m, input_a, input_b, output_layout: str, input_a_layout: str, input_b_layout: str, op_name: str,","): \"\"\"Schedule for input and output layout nhwc-8h2w32c2w-2d considering broadcast\"\"\" func = te.create_prim_func([input_a,"],"string":"[\n \"distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"add_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the add op from topi\\\"\\\"\\\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a,\",\n \"License for the # specific language governing permissions and limitations # under the\",\n \"str, input_b_layout: str, op_name: str, ): \\\"\\\"\\\"Schedule for input and output layout nhwc-8h2w32c2w-2d\",\n \"= tir.Schedule(func) block_dict = {\\\"add\\\": \\\"T_add\\\", \\\"subtract\\\": \\\"T_subtract\\\", \\\"multiply\\\": \\\"T_multiply\\\"} block = s.get_block(block_dict[op_name])\",\n \"(ASF) under one # or more contributor license agreements. See the NOTICE file\",\n \"input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\\\"read\\\", 1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\\\"write\\\", 0),\",\n \"= {\\\"add\\\": \\\"T_add\\\", \\\"subtract\\\": \\\"T_subtract\\\", \\\"multiply\\\": \\\"T_multiply\\\"} block = s.get_block(block_dict[op_name]) if input_a_layout ==\",\n \"software distributed under the License is distributed on an # \\\"AS IS\\\" BASIS,\",\n \"the License. # pylint: disable=invalid-name \\\"\\\"\\\"Compute and schedule for add, multiply, subtract slice\",\n \"tvm import tir from tvm import topi from ..utils import get_layout_transform_fn def add_broadcast_compute(input_a,\",\n \"from tvm import te from tvm import tir from tvm import topi from\",\n \"Please note the following assumptions made by the implementation: 1) The inputs will\",\n \"under the License is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES\",\n \"additional information # regarding copyright ownership. The ASF licenses this file # to\",\n \"# \\\"License\\\"); you may not use this file except in compliance # with\",\n \"the axis that needs broadcasting.\\\"\\\"\\\" from tvm import te from tvm import tir\",\n \"Licensed to the Apache Software Foundation (ASF) under one # or more contributor\",\n \"or more contributor license agreements. See the NOTICE file # distributed with this\",\n \"multiply_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the multiply op from topi\\\"\\\"\\\" return topi.multiply(input_a, input_b) def tir_broadcast_schedule(\",\n \"will be multiple of crouton layout except for the axis that needs broadcasting.\\\"\\\"\\\"\",\n \"h, w, c = s.get_loops(block) h_o, h_i = s.split(h, [None, 8]) w_o, w_i\",\n \"\\\"nhwc-8h2w32c2w-2d\\\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\\\"read\\\", 1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\\\"write\\\",\",\n \"OR CONDITIONS OF ANY # KIND, either express or implied. See the License\",\n \"Foundation (ASF) under one # or more contributor license agreements. See the NOTICE\",\n \"Apache Software Foundation (ASF) under one # or more contributor license agreements. See\",\n \"== \\\"nhwc-8h2w32c2w-2d\\\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\\\"read\\\", 0), index_map=input_a_transformed_layout) if input_b_layout == \\\"nhwc-8h2w32c2w-2d\\\":\",\n \"4]) c_o, c_i = s.split(c, [None, 32]) wio, wii = s.split(w_i, [None, 2])\",\n \"\\\"\\\"\\\"Call the subtract op from topi\\\"\\\"\\\" return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call\",\n \"in compliance # with the License. You may obtain a copy of the\",\n \"implied. See the License for the # specific language governing permissions and limitations\",\n \"or agreed to in writing, # software distributed under the License is distributed\",\n \"s.transform_layout(block, buffer=(\\\"write\\\", 0), index_map=output_transformed_layout) n, h, w, c = s.get_loops(block) h_o, h_i =\",\n \"tvm import topi from ..utils import get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the add\",\n \"license agreements. See the NOTICE file # distributed with this work for additional\",\n \"and limitations # under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Compute and schedule for\",\n \"\\\"License\\\"); you may not use this file except in compliance # with the\",\n \"if input_a_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\\\"read\\\", 0), index_map=input_a_transformed_layout) if input_b_layout\",\n \"if input_b_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\\\"read\\\", 1), index_map=input_b_transformed_layout) output_transformed_layout =\",\n \"= s.get_block(block_dict[op_name]) if input_a_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\\\"read\\\", 0), index_map=input_a_transformed_layout)\",\n \"either express or implied. See the License for the # specific language governing\",\n \"made by the implementation: 1) The inputs will be multiple of crouton layout\",\n \"[None, 4]) c_o, c_i = s.split(c, [None, 32]) wio, wii = s.split(w_i, [None,\",\n \"not use this file except in compliance # with the License. You may\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to\",\n \"# or more contributor license agreements. See the NOTICE file # distributed with\",\n \"return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the subtract op from topi\\\"\\\"\\\" return\",\n \"s.get_block(block_dict[op_name]) if input_a_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\\\"read\\\", 0), index_map=input_a_transformed_layout) if\",\n \"subtract_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the subtract op from topi\\\"\\\"\\\" return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a,\",\n \"WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the\",\n \"implementation: 1) The inputs will be multiple of crouton layout except for the\",\n \"import te from tvm import tir from tvm import topi from ..utils import\",\n \"\\\"\\\"\\\"Schedule for input and output layout nhwc-8h2w32c2w-2d considering broadcast\\\"\\\"\\\" func = te.create_prim_func([input_a, input_b,\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"buffer=(\\\"read\\\", 1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\\\"write\\\", 0), index_map=output_transformed_layout) n, h, w,\",\n \"and schedule for add, multiply, subtract slice op Please note the following assumptions\",\n \"topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m, input_a, input_b, output_layout: str, input_a_layout: str, input_b_layout: str,\",\n \"from topi\\\"\\\"\\\" return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the multiply op from\",\n \"# regarding copyright ownership. The ASF licenses this file # to you under\",\n \"[None, 8]) w_o, w_i = s.split(w, [None, 4]) c_o, c_i = s.split(c, [None,\",\n \"= s.split(w, [None, 4]) c_o, c_i = s.split(c, [None, 32]) wio, wii =\",\n \"more contributor license agreements. See the NOTICE file # distributed with this work\",\n \"that needs broadcasting.\\\"\\\"\\\" from tvm import te from tvm import tir from tvm\",\n \"input_b): \\\"\\\"\\\"Call the subtract op from topi\\\"\\\"\\\" return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b):\",\n \"inputs will be multiple of crouton layout except for the axis that needs\",\n \"is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"0), index_map=input_a_transformed_layout) if input_b_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\\\"read\\\", 1), index_map=input_b_transformed_layout)\",\n \"governing permissions and limitations # under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Compute and\",\n \"CONDITIONS OF ANY # KIND, either express or implied. See the License for\",\n \"work for additional information # regarding copyright ownership. The ASF licenses this file\",\n \"c_i = s.split(c, [None, 32]) wio, wii = s.split(w_i, [None, 2]) s.reorder(n, h_o,\",\n \"index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\\\"write\\\", 0), index_map=output_transformed_layout) n, h, w, c =\",\n \"the subtract op from topi\\\"\\\"\\\" return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the\",\n \"licenses this file # to you under the Apache License, Version 2.0 (the\",\n \"# \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either\",\n \"\\\"subtract\\\": \\\"T_subtract\\\", \\\"multiply\\\": \\\"T_multiply\\\"} block = s.get_block(block_dict[op_name]) if input_a_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_a_transformed_layout =\",\n \"[None, 2]) s.reorder(n, h_o, w_o, c_o, h_i, wio, c_i, wii) fused = s.fuse(c_i,\",\n \"express or implied. See the License for the # specific language governing permissions\",\n \"License. # pylint: disable=invalid-name \\\"\\\"\\\"Compute and schedule for add, multiply, subtract slice op\",\n \"following assumptions made by the implementation: 1) The inputs will be multiple of\",\n \"You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"multiple of crouton layout except for the axis that needs broadcasting.\\\"\\\"\\\" from tvm\",\n \"= te.create_prim_func([input_a, input_b, out_m]) s = tir.Schedule(func) block_dict = {\\\"add\\\": \\\"T_add\\\", \\\"subtract\\\": \\\"T_subtract\\\",\",\n \"you under the Apache License, Version 2.0 (the # \\\"License\\\"); you may not\",\n \"multiply, subtract slice op Please note the following assumptions made by the implementation:\",\n \"License is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS\",\n \"def multiply_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the multiply op from topi\\\"\\\"\\\" return topi.multiply(input_a, input_b) def\",\n \"get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\\\"read\\\", 1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\\\"write\\\", 0), index_map=output_transformed_layout) n,\",\n \"input_b_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\\\"read\\\", 1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout)\",\n \"return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the multiply op from topi\\\"\\\"\\\" return\",\n \"= get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\\\"read\\\", 0), index_map=input_a_transformed_layout) if input_b_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout)\",\n \"input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\\\"read\\\", 0), index_map=input_a_transformed_layout) if input_b_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_b_transformed_layout =\",\n \"for the axis that needs broadcasting.\\\"\\\"\\\" from tvm import te from tvm import\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"nhwc-8h2w32c2w-2d considering broadcast\\\"\\\"\\\" func = te.create_prim_func([input_a, input_b, out_m]) s = tir.Schedule(func) block_dict =\",\n \"s.get_loops(block) h_o, h_i = s.split(h, [None, 8]) w_o, w_i = s.split(w, [None, 4])\",\n \"under the Apache License, Version 2.0 (the # \\\"License\\\"); you may not use\",\n \"\\\"nhwc-8h2w32c2w-2d\\\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\\\"read\\\", 0), index_map=input_a_transformed_layout) if input_b_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_b_transformed_layout\",\n \"== \\\"nhwc-8h2w32c2w-2d\\\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\\\"read\\\", 1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block,\",\n \"32]) wio, wii = s.split(w_i, [None, 2]) s.reorder(n, h_o, w_o, c_o, h_i, wio,\",\n \"input_b, output_layout: str, input_a_layout: str, input_b_layout: str, op_name: str, ): \\\"\\\"\\\"Schedule for input\",\n \"License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"str, ): \\\"\\\"\\\"Schedule for input and output layout nhwc-8h2w32c2w-2d considering broadcast\\\"\\\"\\\" func =\",\n \"..utils import get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the add op from topi\\\"\\\"\\\" return\",\n \"func = te.create_prim_func([input_a, input_b, out_m]) s = tir.Schedule(func) block_dict = {\\\"add\\\": \\\"T_add\\\", \\\"subtract\\\":\",\n \"op from topi\\\"\\\"\\\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the subtract op\",\n \"or implied. See the License for the # specific language governing permissions and\",\n \"block_dict = {\\\"add\\\": \\\"T_add\\\", \\\"subtract\\\": \\\"T_subtract\\\", \\\"multiply\\\": \\\"T_multiply\\\"} block = s.get_block(block_dict[op_name]) if input_a_layout\",\n \"distributed under the License is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT\",\n \"topi\\\"\\\"\\\" return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the multiply op from topi\\\"\\\"\\\"\",\n \"add op from topi\\\"\\\"\\\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the subtract\",\n \"layout nhwc-8h2w32c2w-2d considering broadcast\\\"\\\"\\\" func = te.create_prim_func([input_a, input_b, out_m]) s = tir.Schedule(func) block_dict\",\n \"[None, 32]) wio, wii = s.split(w_i, [None, 2]) s.reorder(n, h_o, w_o, c_o, h_i,\",\n \"def subtract_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the subtract op from topi\\\"\\\"\\\" return topi.subtract(input_a, input_b) def\",\n \"tir.Schedule(func) block_dict = {\\\"add\\\": \\\"T_add\\\", \\\"subtract\\\": \\\"T_subtract\\\", \\\"multiply\\\": \\\"T_multiply\\\"} block = s.get_block(block_dict[op_name]) if\",\n \"Unless required by applicable law or agreed to in writing, # software distributed\",\n \"str, op_name: str, ): \\\"\\\"\\\"Schedule for input and output layout nhwc-8h2w32c2w-2d considering broadcast\\\"\\\"\\\"\",\n \"distributed with this work for additional information # regarding copyright ownership. The ASF\",\n \"import get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the add op from topi\\\"\\\"\\\" return topi.add(input_a,\",\n \"from ..utils import get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the add op from topi\\\"\\\"\\\"\",\n \"regarding copyright ownership. The ASF licenses this file # to you under the\",\n \"# KIND, either express or implied. See the License for the # specific\",\n \"output layout nhwc-8h2w32c2w-2d considering broadcast\\\"\\\"\\\" func = te.create_prim_func([input_a, input_b, out_m]) s = tir.Schedule(func)\",\n \"this work for additional information # regarding copyright ownership. The ASF licenses this\",\n \"and output layout nhwc-8h2w32c2w-2d considering broadcast\\\"\\\"\\\" func = te.create_prim_func([input_a, input_b, out_m]) s =\",\n \"ANY # KIND, either express or implied. See the License for the #\",\n \"contributor license agreements. See the NOTICE file # distributed with this work for\",\n \"language governing permissions and limitations # under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Compute\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"tir from tvm import topi from ..utils import get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call\",\n \"input_a_layout: str, input_b_layout: str, op_name: str, ): \\\"\\\"\\\"Schedule for input and output layout\",\n \"= get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\\\"write\\\", 0), index_map=output_transformed_layout) n, h, w, c = s.get_loops(block) h_o,\",\n \"broadcast\\\"\\\"\\\" func = te.create_prim_func([input_a, input_b, out_m]) s = tir.Schedule(func) block_dict = {\\\"add\\\": \\\"T_add\\\",\",\n \"by the implementation: 1) The inputs will be multiple of crouton layout except\",\n \"permissions and limitations # under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Compute and schedule\",\n \"s.split(h, [None, 8]) w_o, w_i = s.split(w, [None, 4]) c_o, c_i = s.split(c,\",\n \"considering broadcast\\\"\\\"\\\" func = te.create_prim_func([input_a, input_b, out_m]) s = tir.Schedule(func) block_dict = {\\\"add\\\":\",\n \"h_i = s.split(h, [None, 8]) w_o, w_i = s.split(w, [None, 4]) c_o, c_i\",\n \"the multiply op from topi\\\"\\\"\\\" return topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m, input_a, input_b,\",\n \"input_b) def multiply_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the multiply op from topi\\\"\\\"\\\" return topi.multiply(input_a, input_b)\",\n \"See the License for the # specific language governing permissions and limitations #\",\n \"IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or\",\n \"2.0 (the # \\\"License\\\"); you may not use this file except in compliance\",\n \"buffer=(\\\"read\\\", 0), index_map=input_a_transformed_layout) if input_b_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\\\"read\\\", 1),\",\n \"0), index_map=output_transformed_layout) n, h, w, c = s.get_loops(block) h_o, h_i = s.split(h, [None,\",\n \"c_o, c_i = s.split(c, [None, 32]) wio, wii = s.split(w_i, [None, 2]) s.reorder(n,\",\n \"s.reorder(n, h_o, w_o, c_o, h_i, wio, c_i, wii) fused = s.fuse(c_i, wii) s.vectorize(fused)\",\n \"topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the multiply op from topi\\\"\\\"\\\" return topi.multiply(input_a,\",\n \"KIND, either express or implied. See the License for the # specific language\",\n \"topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the subtract op from topi\\\"\\\"\\\" return topi.subtract(input_a,\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"input_b_layout: str, op_name: str, ): \\\"\\\"\\\"Schedule for input and output layout nhwc-8h2w32c2w-2d considering\",\n \"layout except for the axis that needs broadcasting.\\\"\\\"\\\" from tvm import te from\",\n \"input_b) def subtract_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the subtract op from topi\\\"\\\"\\\" return topi.subtract(input_a, input_b)\",\n \"= s.get_loops(block) h_o, h_i = s.split(h, [None, 8]) w_o, w_i = s.split(w, [None,\",\n \"compliance # with the License. You may obtain a copy of the License\",\n \"te from tvm import tir from tvm import topi from ..utils import get_layout_transform_fn\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See\",\n \"with the License. You may obtain a copy of the License at #\",\n \"= s.split(c, [None, 32]) wio, wii = s.split(w_i, [None, 2]) s.reorder(n, h_o, w_o,\",\n \"information # regarding copyright ownership. The ASF licenses this file # to you\",\n \"may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"subtract slice op Please note the following assumptions made by the implementation: 1)\",\n \"one # or more contributor license agreements. See the NOTICE file # distributed\",\n \"tir_broadcast_schedule( out_m, input_a, input_b, output_layout: str, input_a_layout: str, input_b_layout: str, op_name: str, ):\",\n \"input and output layout nhwc-8h2w32c2w-2d considering broadcast\\\"\\\"\\\" func = te.create_prim_func([input_a, input_b, out_m]) s\",\n \"1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\\\"write\\\", 0), index_map=output_transformed_layout) n, h, w, c\",\n \"except in compliance # with the License. You may obtain a copy of\",\n \"disable=invalid-name \\\"\\\"\\\"Compute and schedule for add, multiply, subtract slice op Please note the\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,\",\n \"you may not use this file except in compliance # with the License.\",\n \"\\\"T_add\\\", \\\"subtract\\\": \\\"T_subtract\\\", \\\"multiply\\\": \\\"T_multiply\\\"} block = s.get_block(block_dict[op_name]) if input_a_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_a_transformed_layout\",\n \"\\\"T_multiply\\\"} block = s.get_block(block_dict[op_name]) if input_a_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\\\"read\\\",\",\n \"{\\\"add\\\": \\\"T_add\\\", \\\"subtract\\\": \\\"T_subtract\\\", \\\"multiply\\\": \\\"T_multiply\\\"} block = s.get_block(block_dict[op_name]) if input_a_layout == \\\"nhwc-8h2w32c2w-2d\\\":\",\n \"an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND,\",\n \"the add op from topi\\\"\\\"\\\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the\",\n \"output_layout: str, input_a_layout: str, input_b_layout: str, op_name: str, ): \\\"\\\"\\\"Schedule for input and\",\n \"n, h, w, c = s.get_loops(block) h_o, h_i = s.split(h, [None, 8]) w_o,\",\n \"schedule for add, multiply, subtract slice op Please note the following assumptions made\",\n \"this file # to you under the Apache License, Version 2.0 (the #\",\n \"# # Unless required by applicable law or agreed to in writing, #\",\n \"broadcasting.\\\"\\\"\\\" from tvm import te from tvm import tir from tvm import topi\",\n \"block = s.get_block(block_dict[op_name]) if input_a_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\\\"read\\\", 0),\",\n \"Version 2.0 (the # \\\"License\\\"); you may not use this file except in\",\n \"for the # specific language governing permissions and limitations # under the License.\",\n \"= s.split(w_i, [None, 2]) s.reorder(n, h_o, w_o, c_o, h_i, wio, c_i, wii) fused\",\n \"tvm import te from tvm import tir from tvm import topi from ..utils\",\n \"OF ANY # KIND, either express or implied. See the License for the\",\n \"BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied.\",\n \"slice op Please note the following assumptions made by the implementation: 1) The\",\n \"# specific language governing permissions and limitations # under the License. # pylint:\",\n \"pylint: disable=invalid-name \\\"\\\"\\\"Compute and schedule for add, multiply, subtract slice op Please note\",\n \"# pylint: disable=invalid-name \\\"\\\"\\\"Compute and schedule for add, multiply, subtract slice op Please\",\n \"topi\\\"\\\"\\\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the subtract op from topi\\\"\\\"\\\"\",\n \"note the following assumptions made by the implementation: 1) The inputs will be\",\n \"1) The inputs will be multiple of crouton layout except for the axis\",\n \"index_map=output_transformed_layout) n, h, w, c = s.get_loops(block) h_o, h_i = s.split(h, [None, 8])\",\n \"License, Version 2.0 (the # \\\"License\\\"); you may not use this file except\",\n \"input_b, out_m]) s = tir.Schedule(func) block_dict = {\\\"add\\\": \\\"T_add\\\", \\\"subtract\\\": \\\"T_subtract\\\", \\\"multiply\\\": \\\"T_multiply\\\"}\",\n \"\\\"\\\"\\\"Call the multiply op from topi\\\"\\\"\\\" return topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m, input_a,\",\n \"this file except in compliance # with the License. You may obtain a\",\n \"under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Compute and schedule for add, multiply, subtract\",\n \"axis that needs broadcasting.\\\"\\\"\\\" from tvm import te from tvm import tir from\",\n \"for input and output layout nhwc-8h2w32c2w-2d considering broadcast\\\"\\\"\\\" func = te.create_prim_func([input_a, input_b, out_m])\",\n \"may not use this file except in compliance # with the License. You\",\n \"\\\"T_subtract\\\", \\\"multiply\\\": \\\"T_multiply\\\"} block = s.get_block(block_dict[op_name]) if input_a_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout)\",\n \"def add_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the add op from topi\\\"\\\"\\\" return topi.add(input_a, input_b) def\",\n \"ASF licenses this file # to you under the Apache License, Version 2.0\",\n \"get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\\\"write\\\", 0), index_map=output_transformed_layout) n, h, w, c = s.get_loops(block) h_o, h_i\",\n \"from tvm import tir from tvm import topi from ..utils import get_layout_transform_fn def\",\n \"# distributed with this work for additional information # regarding copyright ownership. The\",\n \"= get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\\\"read\\\", 1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\\\"write\\\", 0), index_map=output_transformed_layout)\",\n \"on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY #\",\n \"8]) w_o, w_i = s.split(w, [None, 4]) c_o, c_i = s.split(c, [None, 32])\",\n \"with this work for additional information # regarding copyright ownership. The ASF licenses\",\n \"s.transform_layout(block, buffer=(\\\"read\\\", 0), index_map=input_a_transformed_layout) if input_b_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\\\"read\\\",\",\n \"the License. You may obtain a copy of the License at # #\",\n \"s.split(w, [None, 4]) c_o, c_i = s.split(c, [None, 32]) wio, wii = s.split(w_i,\",\n \"agreements. See the NOTICE file # distributed with this work for additional information\",\n \"writing, # software distributed under the License is distributed on an # \\\"AS\",\n \"The inputs will be multiple of crouton layout except for the axis that\",\n \"2]) s.reorder(n, h_o, w_o, c_o, h_i, wio, c_i, wii) fused = s.fuse(c_i, wii)\",\n \"NOTICE file # distributed with this work for additional information # regarding copyright\",\n \"out_m, input_a, input_b, output_layout: str, input_a_layout: str, input_b_layout: str, op_name: str, ): \\\"\\\"\\\"Schedule\",\n \"input_b): \\\"\\\"\\\"Call the multiply op from topi\\\"\\\"\\\" return topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m,\",\n \"assumptions made by the implementation: 1) The inputs will be multiple of crouton\",\n \"be multiple of crouton layout except for the axis that needs broadcasting.\\\"\\\"\\\" from\",\n \"the Apache License, Version 2.0 (the # \\\"License\\\"); you may not use this\",\n \"for add, multiply, subtract slice op Please note the following assumptions made by\",\n \"add, multiply, subtract slice op Please note the following assumptions made by the\",\n \"s.split(c, [None, 32]) wio, wii = s.split(w_i, [None, 2]) s.reorder(n, h_o, w_o, c_o,\",\n \"the following assumptions made by the implementation: 1) The inputs will be multiple\",\n \"The ASF licenses this file # to you under the Apache License, Version\",\n \"file except in compliance # with the License. You may obtain a copy\",\n \"output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\\\"write\\\", 0), index_map=output_transformed_layout) n, h, w, c = s.get_loops(block)\",\n \"return topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m, input_a, input_b, output_layout: str, input_a_layout: str, input_b_layout:\",\n \"import topi from ..utils import get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the add op\",\n \"file # to you under the Apache License, Version 2.0 (the # \\\"License\\\");\",\n \"s = tir.Schedule(func) block_dict = {\\\"add\\\": \\\"T_add\\\", \\\"subtract\\\": \\\"T_subtract\\\", \\\"multiply\\\": \\\"T_multiply\\\"} block =\",\n \"w_o, c_o, h_i, wio, c_i, wii) fused = s.fuse(c_i, wii) s.vectorize(fused) return s\",\n \"w_i = s.split(w, [None, 4]) c_o, c_i = s.split(c, [None, 32]) wio, wii\",\n \"s.split(w_i, [None, 2]) s.reorder(n, h_o, w_o, c_o, h_i, wio, c_i, wii) fused =\",\n \"s.transform_layout(block, buffer=(\\\"read\\\", 1), index_map=input_b_transformed_layout) output_transformed_layout = get_layout_transform_fn(output_layout) s.transform_layout(block, buffer=(\\\"write\\\", 0), index_map=output_transformed_layout) n, h,\",\n \"(the # \\\"License\\\"); you may not use this file except in compliance #\",\n \"of crouton layout except for the axis that needs broadcasting.\\\"\\\"\\\" from tvm import\",\n \"from tvm import topi from ..utils import get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the\",\n \"op from topi\\\"\\\"\\\" return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the multiply op\",\n \"\\\"\\\"\\\"Call the add op from topi\\\"\\\"\\\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call\",\n \"index_map=input_a_transformed_layout) if input_b_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block, buffer=(\\\"read\\\", 1), index_map=input_b_transformed_layout) output_transformed_layout\",\n \"get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\\\"read\\\", 0), index_map=input_a_transformed_layout) if input_b_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_b_transformed_layout = get_layout_transform_fn(input_b_layout) s.transform_layout(block,\",\n \"law or agreed to in writing, # software distributed under the License is\",\n \"# under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Compute and schedule for add, multiply,\",\n \"input_b): \\\"\\\"\\\"Call the add op from topi\\\"\\\"\\\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b):\",\n \"specific language governing permissions and limitations # under the License. # pylint: disable=invalid-name\",\n \"# software distributed under the License is distributed on an # \\\"AS IS\\\"\",\n \"to you under the Apache License, Version 2.0 (the # \\\"License\\\"); you may\",\n \"h_o, h_i = s.split(h, [None, 8]) w_o, w_i = s.split(w, [None, 4]) c_o,\",\n \"file # distributed with this work for additional information # regarding copyright ownership.\",\n \"# Licensed to the Apache Software Foundation (ASF) under one # or more\",\n \"copyright ownership. The ASF licenses this file # to you under the Apache\",\n \"ownership. The ASF licenses this file # to you under the Apache License,\",\n \"from topi\\\"\\\"\\\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the subtract op from\",\n \"str, input_a_layout: str, input_b_layout: str, op_name: str, ): \\\"\\\"\\\"Schedule for input and output\",\n \"from topi\\\"\\\"\\\" return topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m, input_a, input_b, output_layout: str, input_a_layout:\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"# Unless required by applicable law or agreed to in writing, # software\",\n \"get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the add op from topi\\\"\\\"\\\" return topi.add(input_a, input_b)\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"wio, wii = s.split(w_i, [None, 2]) s.reorder(n, h_o, w_o, c_o, h_i, wio, c_i,\",\n \"to in writing, # software distributed under the License is distributed on an\",\n \"agreed to in writing, # software distributed under the License is distributed on\",\n \"out_m]) s = tir.Schedule(func) block_dict = {\\\"add\\\": \\\"T_add\\\", \\\"subtract\\\": \\\"T_subtract\\\", \\\"multiply\\\": \\\"T_multiply\\\"} block\",\n \"te.create_prim_func([input_a, input_b, out_m]) s = tir.Schedule(func) block_dict = {\\\"add\\\": \\\"T_add\\\", \\\"subtract\\\": \\\"T_subtract\\\", \\\"multiply\\\":\",\n \"\\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express\",\n \"crouton layout except for the axis that needs broadcasting.\\\"\\\"\\\" from tvm import te\",\n \"op_name: str, ): \\\"\\\"\\\"Schedule for input and output layout nhwc-8h2w32c2w-2d considering broadcast\\\"\\\"\\\" func\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"\\\"\\\"\\\"Compute and schedule for add, multiply, subtract slice op Please note the following\",\n \"to the Apache Software Foundation (ASF) under one # or more contributor license\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in\",\n \"w, c = s.get_loops(block) h_o, h_i = s.split(h, [None, 8]) w_o, w_i =\",\n \"wii = s.split(w_i, [None, 2]) s.reorder(n, h_o, w_o, c_o, h_i, wio, c_i, wii)\",\n \"use this file except in compliance # with the License. You may obtain\",\n \"input_b) def tir_broadcast_schedule( out_m, input_a, input_b, output_layout: str, input_a_layout: str, input_b_layout: str, op_name:\",\n \"\\\"multiply\\\": \\\"T_multiply\\\"} block = s.get_block(block_dict[op_name]) if input_a_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block,\",\n \"Software Foundation (ASF) under one # or more contributor license agreements. See the\",\n \"the License is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR\",\n \"topi from ..utils import get_layout_transform_fn def add_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the add op from\",\n \"input_a, input_b, output_layout: str, input_a_layout: str, input_b_layout: str, op_name: str, ): \\\"\\\"\\\"Schedule for\",\n \"the implementation: 1) The inputs will be multiple of crouton layout except for\",\n \"the # specific language governing permissions and limitations # under the License. #\",\n \"See the NOTICE file # distributed with this work for additional information #\",\n \"needs broadcasting.\\\"\\\"\\\" from tvm import te from tvm import tir from tvm import\",\n \"the NOTICE file # distributed with this work for additional information # regarding\",\n \"in writing, # software distributed under the License is distributed on an #\",\n \"the Apache Software Foundation (ASF) under one # or more contributor license agreements.\",\n \"subtract op from topi\\\"\\\"\\\" return topi.subtract(input_a, input_b) def multiply_broadcast_compute(input_a, input_b): \\\"\\\"\\\"Call the multiply\",\n \"buffer=(\\\"write\\\", 0), index_map=output_transformed_layout) n, h, w, c = s.get_loops(block) h_o, h_i = s.split(h,\",\n \"topi\\\"\\\"\\\" return topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m, input_a, input_b, output_layout: str, input_a_layout: str,\",\n \"= s.split(h, [None, 8]) w_o, w_i = s.split(w, [None, 4]) c_o, c_i =\",\n \"except for the axis that needs broadcasting.\\\"\\\"\\\" from tvm import te from tvm\",\n \"import tir from tvm import topi from ..utils import get_layout_transform_fn def add_broadcast_compute(input_a, input_b):\",\n \"input_a_layout == \\\"nhwc-8h2w32c2w-2d\\\": input_a_transformed_layout = get_layout_transform_fn(input_a_layout) s.transform_layout(block, buffer=(\\\"read\\\", 0), index_map=input_a_transformed_layout) if input_b_layout ==\",\n \"op from topi\\\"\\\"\\\" return topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m, input_a, input_b, output_layout: str,\",\n \"multiply op from topi\\\"\\\"\\\" return topi.multiply(input_a, input_b) def tir_broadcast_schedule( out_m, input_a, input_b, output_layout:\",\n \"# with the License. You may obtain a copy of the License at\",\n \"c = s.get_loops(block) h_o, h_i = s.split(h, [None, 8]) w_o, w_i = s.split(w,\",\n \"Apache License, Version 2.0 (the # \\\"License\\\"); you may not use this file\",\n \"under one # or more contributor license agreements. See the NOTICE file #\",\n \"op Please note the following assumptions made by the implementation: 1) The inputs\",\n \"# to you under the Apache License, Version 2.0 (the # \\\"License\\\"); you\",\n \"required by applicable law or agreed to in writing, # software distributed under\",\n \"w_o, w_i = s.split(w, [None, 4]) c_o, c_i = s.split(c, [None, 32]) wio,\",\n \"h_o, w_o, c_o, h_i, wio, c_i, wii) fused = s.fuse(c_i, wii) s.vectorize(fused) return\",\n \"by applicable law or agreed to in writing, # software distributed under the\",\n \"for additional information # regarding copyright ownership. The ASF licenses this file #\",\n \"the License for the # specific language governing permissions and limitations # under\",\n \"applicable law or agreed to in writing, # software distributed under the License\",\n \"limitations # under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Compute and schedule for add,\",\n \"def tir_broadcast_schedule( out_m, input_a, input_b, output_layout: str, input_a_layout: str, input_b_layout: str, op_name: str,\",\n \"): \\\"\\\"\\\"Schedule for input and output layout nhwc-8h2w32c2w-2d considering broadcast\\\"\\\"\\\" func = te.create_prim_func([input_a,\"\n]","isConversational":false}}},{"rowIdx":1998,"cells":{"ngram":{"kind":"list like","value":["\"r\") as f: versions = yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args = image_info.get(\"docker_args\",","Docker arguments from this image's versions.yaml, and update with latest Dagster version. Also,","self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) else: tag = custom_tag return ecr_image( self.image, tag,","image versions.yaml to another Dagster image to use as a base image. If","\"versions.yaml\"), \"r\") as f: versions = yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args =","= {} last_updated_path = os.path.join(self.path, \"last_updated.yaml\") if os.path.exists(last_updated_path): with open(last_updated_path, \"r\") as f:","open(os.path.join(self.path, \"last_updated.yaml\"), \"w\") as f: yaml.dump(last_updated, f, default_flow_style=False) def local_image(self, python_version): \"\"\"Generates the","image name, like: \"dagster/foo:some-tag\" \"\"\" check.str_param(python_version, \"python_version\") last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version,","a base image. If defined, set the BASE_IMAGE Docker arg from the full","defined, set the BASE_IMAGE Docker arg from the full name of the parent","\"versions.yaml\"), \"r\") as f: versions = yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \"\"\"Retrieve","BASE_IMAGE Docker arg from the full name of the parent image. \"\"\" with","return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version): \"\"\"Update the last_updated timestamp for a particular","= yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version): \"\"\"Update the last_updated timestamp for","list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \"\"\"Retrieve the last_updated timestamp for a particular python_version of","= image_info[\"base_image\"][\"source\"] if source == \"aws\": docker_args[\"BASE_IMAGE\"] = base_image.aws_image(python_version) elif source == \"local\":","timestamp for a particular python_version of this image.\"\"\" check.str_param(python_version, \"python_version\") with open(os.path.join(self.path, \"last_updated.yaml\"),",") # Default repository prefix used for local images DEFAULT_LOCAL_PREFIX = \"dagster\" #","yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version): \"\"\"Update the last_updated timestamp for a","python_version_image_tag, ) # Default repository prefix used for local images DEFAULT_LOCAL_PREFIX = \"dagster\"","last_updated timestamp for a particular python_version of this image.\"\"\" check.str_param(python_version, \"python_version\") with open(os.path.join(self.path,","\"build_cm\"), check.opt_str_param( path, \"path\", default=os.path.join(os.path.dirname(__file__), \"images\", image) ), ) @property def python_versions(self): \"\"\"List","\"Cannot override an existing BASE_IMAGE\" ) base_image = DagsterDockerImage(image_info[\"base_image\"][\"name\"]) source = image_info[\"base_image\"][\"source\"] if","this image.\"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f: versions = yaml.safe_load(f.read()) return list(versions.keys())","version ({}) does not match provided arg ({})\".format( current_dagster_version, dagster_version ), ) with","template assets used here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \"images\") @contextlib.contextmanager def do_nothing(_cwd): yield class","check.str_param(python_version, \"python_version\") last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) return \"{}/{}:{}\".format(DEFAULT_LOCAL_PREFIX, self.image, tag)","image, build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \"image\"), check.callable_param(build_cm, \"build_cm\"), check.opt_str_param( path,","), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self,","source == \"aws\": docker_args[\"BASE_IMAGE\"] = base_image.aws_image(python_version) elif source == \"local\": docker_args[\"BASE_IMAGE\"] = base_image.local_image(python_version)","def push(self, python_version, custom_tag=None): \"\"\"Push this image to ECR.\"\"\" if custom_tag: execute_docker_tag( self.local_image(python_version),","= versions.get(python_version, {}) docker_args = image_info.get(\"docker_args\", {}) if \"base_image\" in image_info: check.invariant( \"BASE_IMAGE\"","IMAGES_PATH = os.path.join(os.path.dirname(__file__), \"images\") @contextlib.contextmanager def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\"_DagsterDockerImage\", \"image build_cm path\")):","last_updated) return \"{}/{}:{}\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self, python_version=None, custom_tag=None): \"\"\"Generates the AWS ECR","\"\"\" def __new__(cls, image, build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \"image\"), check.callable_param(build_cm,","prefix used for local images DEFAULT_LOCAL_PREFIX = \"dagster\" # Location of the template","as f: last_updated = yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version): \"\"\"Update the","function that is a context manager for build (e.g. for populating a build","of the image build_cm (function): function that is a context manager for build","yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args = image_info.get(\"docker_args\", {}) if \"base_image\" in image_info:","ecr_image, get_aws_account_id, get_aws_region from .utils import ( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, ) #","python_version): \"\"\"Retrieve the last_updated timestamp for a particular python_version of this image.\"\"\" check.str_param(python_version,","return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \"\"\"Retrieve the last_updated timestamp for a particular python_version","from dagster import __version__ as current_dagster_version from dagster import check from .ecr import","<filename>python_modules/automation/automation/docker/dagster_docker.py import contextlib import os from collections import namedtuple import yaml from dagster","(python_version and custom_tag)) check.opt_str_param(python_version, \"python_version\") check.opt_str_param(custom_tag, \"custom_tag\") if python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag","({})\".format( current_dagster_version, dagster_version ), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path,","= yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \"\"\"Retrieve the last_updated timestamp for a","\"last_updated.yaml\") if os.path.exists(last_updated_path): with open(last_updated_path, \"r\") as f: last_updated = yaml.safe_load(f.read()) last_updated[python_version] =","\"python_version\") check.opt_str_param(custom_tag, \"custom_tag\") if python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) else:","base image. If defined, set the BASE_IMAGE Docker arg from the full name","\"image build_cm path\")): \"\"\"Represents a Dagster image. Properties: image (str): Name of the","= current_dagster_version return docker_args def build(self, timestamp, dagster_version, python_version): check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\")","is a context manager for build (e.g. for populating a build cache) path","\"\"\"Retrieve the last_updated timestamp for a particular python_version of this image.\"\"\" check.str_param(python_version, \"python_version\")","version docker_args[\"DAGSTER_VERSION\"] = current_dagster_version return docker_args def build(self, timestamp, dagster_version, python_version): check.str_param(timestamp, \"timestamp\")","def aws_image(self, python_version=None, custom_tag=None): \"\"\"Generates the AWS ECR image name, like: \"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\" \"\"\"","with open(os.path.join(self.path, \"last_updated.yaml\"), \"r\") as f: last_updated = yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self,","check.str_param(image, \"image\"), check.callable_param(build_cm, \"build_cm\"), check.opt_str_param( path, \"path\", default=os.path.join(os.path.dirname(__file__), \"images\", image) ), ) @property","override an existing BASE_IMAGE\" ) base_image = DagsterDockerImage(image_info[\"base_image\"][\"name\"]) source = image_info[\"base_image\"][\"source\"] if source","not in docker_args, \"Cannot override an existing BASE_IMAGE\" ) base_image = DagsterDockerImage(image_info[\"base_image\"][\"name\"]) source","Defaults to docker/images/<IMAGE NAME> \"\"\" def __new__(cls, image, build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__(","os.path.join(self.path, \"last_updated.yaml\") if os.path.exists(last_updated_path): with open(last_updated_path, \"r\") as f: last_updated = yaml.safe_load(f.read()) last_updated[python_version]","self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self, python_version): \"\"\"Retrieve Docker arguments from this","Location of the template assets used here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \"images\") @contextlib.contextmanager def","versions = yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \"\"\"Retrieve the last_updated timestamp for","\"\"\"Generates the local image name, like: \"dagster/foo:some-tag\" \"\"\" check.str_param(python_version, \"python_version\") last_updated = self._get_last_updated_for_python_version(python_version)","from this image's versions.yaml, and update with latest Dagster version. Also, we allow","f, default_flow_style=False) def local_image(self, python_version): \"\"\"Generates the local image name, like: \"dagster/foo:some-tag\" \"\"\"","to use as a base image. If defined, set the BASE_IMAGE Docker arg","supported for this image.\"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f: versions = yaml.safe_load(f.read())","python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self, python_version, custom_tag=None): \"\"\"Push this image","= python_version_image_tag(python_version, last_updated) return \"{}/{}:{}\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self, python_version=None, custom_tag=None): \"\"\"Generates the","timestamp with open(os.path.join(self.path, \"last_updated.yaml\"), \"w\") as f: yaml.dump(last_updated, f, default_flow_style=False) def local_image(self, python_version):","\"local\": docker_args[\"BASE_IMAGE\"] = base_image.local_image(python_version) else: raise Exception(\"Unrecognized source {}\".format(source)) # Set Dagster version","check.opt_str_param( path, \"path\", default=os.path.join(os.path.dirname(__file__), \"images\", image) ), ) @property def python_versions(self): \"\"\"List of","as f: versions = yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args = image_info.get(\"docker_args\", {})","the image's path. Defaults to docker/images/<IMAGE NAME> \"\"\" def __new__(cls, image, build_cm=do_nothing, path=None):","dagster_version == current_dagster_version, desc=\"Current dagster version ({}) does not match provided arg ({})\".format(","tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self, python_version): \"\"\"Retrieve Docker arguments from this image's","docker_args def build(self, timestamp, dagster_version, python_version): check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") check.invariant( dagster_version ==","a context manager for build (e.g. for populating a build cache) path (Optional(str)):","do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\"_DagsterDockerImage\", \"image build_cm path\")): \"\"\"Represents a Dagster image. Properties: image","versions.get(python_version, {}) docker_args = image_info.get(\"docker_args\", {}) if \"base_image\" in image_info: check.invariant( \"BASE_IMAGE\" not","self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self, python_version, custom_tag=None): \"\"\"Push this image to ECR.\"\"\"","\"r\") as f: last_updated = yaml.safe_load(f.read()) last_updated[python_version] = timestamp with open(os.path.join(self.path, \"last_updated.yaml\"), \"w\")","check.callable_param(build_cm, \"build_cm\"), check.opt_str_param( path, \"path\", default=os.path.join(os.path.dirname(__file__), \"images\", image) ), ) @property def python_versions(self):","image_info: check.invariant( \"BASE_IMAGE\" not in docker_args, \"Cannot override an existing BASE_IMAGE\" ) base_image","= timestamp with open(os.path.join(self.path, \"last_updated.yaml\"), \"w\") as f: yaml.dump(last_updated, f, default_flow_style=False) def local_image(self,","execute_docker_tag, python_version_image_tag, ) # Default repository prefix used for local images DEFAULT_LOCAL_PREFIX =","current_dagster_version return docker_args def build(self, timestamp, dagster_version, python_version): check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") check.invariant(","Dagster image to use as a base image. If defined, set the BASE_IMAGE","_get_docker_args(self, python_version): \"\"\"Retrieve Docker arguments from this image's versions.yaml, and update with latest","docker/images/<IMAGE NAME> \"\"\" def __new__(cls, image, build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image,","last_updated[python_version] = timestamp with open(os.path.join(self.path, \"last_updated.yaml\"), \"w\") as f: yaml.dump(last_updated, f, default_flow_style=False) def","import namedtuple import yaml from dagster import __version__ as current_dagster_version from dagster import","arg ({})\".format( current_dagster_version, dagster_version ), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version),","python_version, custom_tag=None): \"\"\"Push this image to ECR.\"\"\" if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None, custom_tag=custom_tag),","check.opt_str_param(python_version, \"python_version\") check.opt_str_param(custom_tag, \"custom_tag\") if python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated)","the local image name, like: \"dagster/foo:some-tag\" \"\"\" check.str_param(python_version, \"python_version\") last_updated = self._get_last_updated_for_python_version(python_version) tag","build_cm (function): function that is a context manager for build (e.g. for populating","the last_updated timestamp for a particular python_version of this image.\"\"\" check.str_param(timestamp, \"timestamp\") check.str_param(python_version,","arg from the full name of the parent image. \"\"\" with open(os.path.join(self.path, \"versions.yaml\"),","if python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) else: tag = custom_tag","with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self, python_version, custom_tag=None):","from dagster import check from .ecr import ecr_image, get_aws_account_id, get_aws_region from .utils import","with open(os.path.join(self.path, \"last_updated.yaml\"), \"w\") as f: yaml.dump(last_updated, f, default_flow_style=False) def local_image(self, python_version): \"\"\"Generates","source = image_info[\"base_image\"][\"source\"] if source == \"aws\": docker_args[\"BASE_IMAGE\"] = base_image.aws_image(python_version) elif source ==","like: \"dagster/foo:some-tag\" \"\"\" check.str_param(python_version, \"python_version\") last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) return","in docker_args, \"Cannot override an existing BASE_IMAGE\" ) base_image = DagsterDockerImage(image_info[\"base_image\"][\"name\"]) source =",") def _get_docker_args(self, python_version): \"\"\"Retrieve Docker arguments from this image's versions.yaml, and update","set the BASE_IMAGE Docker arg from the full name of the parent image.","{}\".format(source)) # Set Dagster version docker_args[\"DAGSTER_VERSION\"] = current_dagster_version return docker_args def build(self, timestamp,","manager for build (e.g. for populating a build cache) path (Optional(str)): The path","\"timestamp\") check.str_param(python_version, \"python_version\") last_updated = {} last_updated_path = os.path.join(self.path, \"last_updated.yaml\") if os.path.exists(last_updated_path): with","\"base_image\" in image_info: check.invariant( \"BASE_IMAGE\" not in docker_args, \"Cannot override an existing BASE_IMAGE\"","current_dagster_version, desc=\"Current dagster version ({}) does not match provided arg ({})\".format( current_dagster_version, dagster_version","the last_updated timestamp for a particular python_version of this image.\"\"\" check.str_param(python_version, \"python_version\") with","f: last_updated = yaml.safe_load(f.read()) last_updated[python_version] = timestamp with open(os.path.join(self.path, \"last_updated.yaml\"), \"w\") as f:","\"\"\"List of Python versions supported for this image.\"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as","open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f: versions = yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args","base_image.aws_image(python_version) elif source == \"local\": docker_args[\"BASE_IMAGE\"] = base_image.local_image(python_version) else: raise Exception(\"Unrecognized source {}\".format(source))","of this image.\"\"\" check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") last_updated = {} last_updated_path = os.path.join(self.path,","python_version): check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") check.invariant( dagster_version == current_dagster_version, desc=\"Current dagster version ({})","DagsterDockerImage(image_info[\"base_image\"][\"name\"]) source = image_info[\"base_image\"][\"source\"] if source == \"aws\": docker_args[\"BASE_IMAGE\"] = base_image.aws_image(python_version) elif source","build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \"image\"), check.callable_param(build_cm, \"build_cm\"), check.opt_str_param( path, \"path\",","check.opt_str_param(custom_tag, \"custom_tag\") if python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) else: tag","Dagster version. Also, we allow references in the image versions.yaml to another Dagster",") def push(self, python_version, custom_tag=None): \"\"\"Push this image to ECR.\"\"\" if custom_tag: execute_docker_tag(","this image.\"\"\" check.str_param(python_version, \"python_version\") with open(os.path.join(self.path, \"last_updated.yaml\"), \"r\") as f: last_updated = yaml.safe_load(f.read())","Dagster version docker_args[\"DAGSTER_VERSION\"] = current_dagster_version return docker_args def build(self, timestamp, dagster_version, python_version): check.str_param(timestamp,","ECR.\"\"\" if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None, custom_tag=custom_tag), ) execute_docker_push(self.aws_image(python_version=None, custom_tag=custom_tag)) else: execute_docker_tag(self.local_image(python_version), self.aws_image(python_version))","== current_dagster_version, desc=\"Current dagster version ({}) does not match provided arg ({})\".format( current_dagster_version,","python_version): \"\"\"Retrieve Docker arguments from this image's versions.yaml, and update with latest Dagster","base_image = DagsterDockerImage(image_info[\"base_image\"][\"name\"]) source = image_info[\"base_image\"][\"source\"] if source == \"aws\": docker_args[\"BASE_IMAGE\"] = base_image.aws_image(python_version)","Default repository prefix used for local images DEFAULT_LOCAL_PREFIX = \"dagster\" # Location of",".ecr import ecr_image, get_aws_account_id, get_aws_region from .utils import ( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag,","\"last_updated.yaml\"), \"w\") as f: yaml.dump(last_updated, f, default_flow_style=False) def local_image(self, python_version): \"\"\"Generates the local","= os.path.join(os.path.dirname(__file__), \"images\") @contextlib.contextmanager def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\"_DagsterDockerImage\", \"image build_cm path\")): \"\"\"Represents","\"images\") @contextlib.contextmanager def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\"_DagsterDockerImage\", \"image build_cm path\")): \"\"\"Represents a Dagster","check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version, \"python_version\") check.opt_str_param(custom_tag, \"custom_tag\") if python_version: last_updated = self._get_last_updated_for_python_version(python_version)","execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self, python_version, custom_tag=None): \"\"\"Push this image to","docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self, python_version, custom_tag=None): \"\"\"Push this image to ECR.\"\"\" if","path, \"path\", default=os.path.join(os.path.dirname(__file__), \"images\", image) ), ) @property def python_versions(self): \"\"\"List of Python","the full name of the parent image. \"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as","last_updated) else: tag = custom_tag return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def","repository prefix used for local images DEFAULT_LOCAL_PREFIX = \"dagster\" # Location of the","\"\"\"Push this image to ECR.\"\"\" if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None, custom_tag=custom_tag), ) execute_docker_push(self.aws_image(python_version=None,","aws_region=get_aws_region(), ) def _get_docker_args(self, python_version): \"\"\"Retrieve Docker arguments from this image's versions.yaml, and","super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \"image\"), check.callable_param(build_cm, \"build_cm\"), check.opt_str_param( path, \"path\", default=os.path.join(os.path.dirname(__file__), \"images\", image)","last_updated timestamp for a particular python_version of this image.\"\"\" check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\")","\"{}/{}:{}\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self, python_version=None, custom_tag=None): \"\"\"Generates the AWS ECR image name,","\"dagster/foo:some-tag\" \"\"\" check.str_param(python_version, \"python_version\") last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) return \"{}/{}:{}\".format(DEFAULT_LOCAL_PREFIX,","name of the parent image. \"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f: versions","as f: versions = yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \"\"\"Retrieve the last_updated","Also, we allow references in the image versions.yaml to another Dagster image to","image (str): Name of the image build_cm (function): function that is a context","# Default repository prefix used for local images DEFAULT_LOCAL_PREFIX = \"dagster\" # Location","from .utils import ( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, ) # Default repository prefix","return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self, python_version): \"\"\"Retrieve Docker arguments",") with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self, python_version,","here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \"images\") @contextlib.contextmanager def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\"_DagsterDockerImage\", \"image build_cm","BASE_IMAGE\" ) base_image = DagsterDockerImage(image_info[\"base_image\"][\"name\"]) source = image_info[\"base_image\"][\"source\"] if source == \"aws\": docker_args[\"BASE_IMAGE\"]","name, like: \"dagster/foo:some-tag\" \"\"\" check.str_param(python_version, \"python_version\") last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated)","ECR image name, like: \"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\" \"\"\" check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version, \"python_version\") check.opt_str_param(custom_tag,","AWS ECR image name, like: \"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\" \"\"\" check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version, \"python_version\")","tag) def aws_image(self, python_version=None, custom_tag=None): \"\"\"Generates the AWS ECR image name, like: \"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\"","elif source == \"local\": docker_args[\"BASE_IMAGE\"] = base_image.local_image(python_version) else: raise Exception(\"Unrecognized source {}\".format(source)) #","aws_image(self, python_version=None, custom_tag=None): \"\"\"Generates the AWS ECR image name, like: \"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\" \"\"\" check.invariant(not","tag = python_version_image_tag(python_version, last_updated) else: tag = custom_tag return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(),","push(self, python_version, custom_tag=None): \"\"\"Push this image to ECR.\"\"\" if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None,","python_version): \"\"\"Generates the local image name, like: \"dagster/foo:some-tag\" \"\"\" check.str_param(python_version, \"python_version\") last_updated =","as f: yaml.dump(last_updated, f, default_flow_style=False) def local_image(self, python_version): \"\"\"Generates the local image name,","this image.\"\"\" check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") last_updated = {} last_updated_path = os.path.join(self.path, \"last_updated.yaml\")","name, like: \"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\" \"\"\" check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version, \"python_version\") check.opt_str_param(custom_tag, \"custom_tag\") if","\"path\", default=os.path.join(os.path.dirname(__file__), \"images\", image) ), ) @property def python_versions(self): \"\"\"List of Python versions","\"last_updated.yaml\"), \"r\") as f: last_updated = yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version):","custom_tag=None): \"\"\"Generates the AWS ECR image name, like: \"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\" \"\"\" check.invariant(not (python_version and","import __version__ as current_dagster_version from dagster import check from .ecr import ecr_image, get_aws_account_id,","references in the image versions.yaml to another Dagster image to use as a","if os.path.exists(last_updated_path): with open(last_updated_path, \"r\") as f: last_updated = yaml.safe_load(f.read()) last_updated[python_version] = timestamp","(str): Name of the image build_cm (function): function that is a context manager","source {}\".format(source)) # Set Dagster version docker_args[\"DAGSTER_VERSION\"] = current_dagster_version return docker_args def build(self,","yaml from dagster import __version__ as current_dagster_version from dagster import check from .ecr","source == \"local\": docker_args[\"BASE_IMAGE\"] = base_image.local_image(python_version) else: raise Exception(\"Unrecognized source {}\".format(source)) # Set","= yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args = image_info.get(\"docker_args\", {}) if \"base_image\" in","(function): function that is a context manager for build (e.g. for populating a","raise Exception(\"Unrecognized source {}\".format(source)) # Set Dagster version docker_args[\"DAGSTER_VERSION\"] = current_dagster_version return docker_args",".utils import ( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, ) # Default repository prefix used","if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None, custom_tag=custom_tag), ) execute_docker_push(self.aws_image(python_version=None, custom_tag=custom_tag)) else: execute_docker_tag(self.local_image(python_version), self.aws_image(python_version)) execute_docker_push(self.aws_image(python_version))","for build (e.g. for populating a build cache) path (Optional(str)): The path to","namedtuple import yaml from dagster import __version__ as current_dagster_version from dagster import check","== \"aws\": docker_args[\"BASE_IMAGE\"] = base_image.aws_image(python_version) elif source == \"local\": docker_args[\"BASE_IMAGE\"] = base_image.local_image(python_version) else:","to another Dagster image to use as a base image. If defined, set","get_aws_account_id, get_aws_region from .utils import ( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, ) # Default","( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, ) # Default repository prefix used for local","check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") check.invariant( dagster_version == current_dagster_version, desc=\"Current dagster version ({}) does","os.path.join(os.path.dirname(__file__), \"images\") @contextlib.contextmanager def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\"_DagsterDockerImage\", \"image build_cm path\")): \"\"\"Represents a","= \"dagster\" # Location of the template assets used here IMAGES_PATH = os.path.join(os.path.dirname(__file__),","does not match provided arg ({})\".format( current_dagster_version, dagster_version ), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp,","last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) else: tag = custom_tag return ecr_image(","import ( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, ) # Default repository prefix used for","docker_args[\"BASE_IMAGE\"] = base_image.local_image(python_version) else: raise Exception(\"Unrecognized source {}\".format(source)) # Set Dagster version docker_args[\"DAGSTER_VERSION\"]","\"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\" \"\"\" check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version, \"python_version\") check.opt_str_param(custom_tag, \"custom_tag\") if python_version: last_updated","open(os.path.join(self.path, \"last_updated.yaml\"), \"r\") as f: last_updated = yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp,","build(self, timestamp, dagster_version, python_version): check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") check.invariant( dagster_version == current_dagster_version, desc=\"Current","return \"{}/{}:{}\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self, python_version=None, custom_tag=None): \"\"\"Generates the AWS ECR image","import os from collections import namedtuple import yaml from dagster import __version__ as","{}) if \"base_image\" in image_info: check.invariant( \"BASE_IMAGE\" not in docker_args, \"Cannot override an","image to use as a base image. If defined, set the BASE_IMAGE Docker","\"aws\": docker_args[\"BASE_IMAGE\"] = base_image.aws_image(python_version) elif source == \"local\": docker_args[\"BASE_IMAGE\"] = base_image.local_image(python_version) else: raise","\"image\"), check.callable_param(build_cm, \"build_cm\"), check.opt_str_param( path, \"path\", default=os.path.join(os.path.dirname(__file__), \"images\", image) ), ) @property def","DEFAULT_LOCAL_PREFIX = \"dagster\" # Location of the template assets used here IMAGES_PATH =","python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) else: tag = custom_tag return","like: \"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\" \"\"\" check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version, \"python_version\") check.opt_str_param(custom_tag, \"custom_tag\") if python_version:","of this image.\"\"\" check.str_param(python_version, \"python_version\") with open(os.path.join(self.path, \"last_updated.yaml\"), \"r\") as f: last_updated =","def _set_last_updated_for_python_version(self, timestamp, python_version): \"\"\"Update the last_updated timestamp for a particular python_version of","path. Defaults to docker/images/<IMAGE NAME> \"\"\" def __new__(cls, image, build_cm=do_nothing, path=None): return super(DagsterDockerImage,","open(last_updated_path, \"r\") as f: last_updated = yaml.safe_load(f.read()) last_updated[python_version] = timestamp with open(os.path.join(self.path, \"last_updated.yaml\"),","docker_args[\"DAGSTER_VERSION\"] = current_dagster_version return docker_args def build(self, timestamp, dagster_version, python_version): check.str_param(timestamp, \"timestamp\") check.str_param(python_version,",") base_image = DagsterDockerImage(image_info[\"base_image\"][\"name\"]) source = image_info[\"base_image\"][\"source\"] if source == \"aws\": docker_args[\"BASE_IMAGE\"] =","versions = yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args = image_info.get(\"docker_args\", {}) if \"base_image\"","check.invariant( dagster_version == current_dagster_version, desc=\"Current dagster version ({}) does not match provided arg","collections import namedtuple import yaml from dagster import __version__ as current_dagster_version from dagster","versions supported for this image.\"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f: versions =","\"r\") as f: last_updated = yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version): \"\"\"Update","this image to ECR.\"\"\" if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None, custom_tag=custom_tag), ) execute_docker_push(self.aws_image(python_version=None, custom_tag=custom_tag))","dagster import __version__ as current_dagster_version from dagster import check from .ecr import ecr_image,","os.path.exists(last_updated_path): with open(last_updated_path, \"r\") as f: last_updated = yaml.safe_load(f.read()) last_updated[python_version] = timestamp with","last_updated_path = os.path.join(self.path, \"last_updated.yaml\") if os.path.exists(last_updated_path): with open(last_updated_path, \"r\") as f: last_updated =","get_aws_region from .utils import ( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, ) # Default repository","\"w\") as f: yaml.dump(last_updated, f, default_flow_style=False) def local_image(self, python_version): \"\"\"Generates the local image","== \"local\": docker_args[\"BASE_IMAGE\"] = base_image.local_image(python_version) else: raise Exception(\"Unrecognized source {}\".format(source)) # Set Dagster","docker_args[\"BASE_IMAGE\"] = base_image.aws_image(python_version) elif source == \"local\": docker_args[\"BASE_IMAGE\"] = base_image.local_image(python_version) else: raise Exception(\"Unrecognized","\"python_version\") with open(os.path.join(self.path, \"last_updated.yaml\"), \"r\") as f: last_updated = yaml.safe_load(f.read()) return last_updated[python_version] def","check.str_param(python_version, \"python_version\") check.invariant( dagster_version == current_dagster_version, desc=\"Current dagster version ({}) does not match","contextlib import os from collections import namedtuple import yaml from dagster import __version__","dagster version ({}) does not match provided arg ({})\".format( current_dagster_version, dagster_version ), )","provided arg ({})\".format( current_dagster_version, dagster_version ), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version),","that is a context manager for build (e.g. for populating a build cache)","this image's versions.yaml, and update with latest Dagster version. Also, we allow references","return docker_args def build(self, timestamp, dagster_version, python_version): check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") check.invariant( dagster_version","for a particular python_version of this image.\"\"\" check.str_param(python_version, \"python_version\") with open(os.path.join(self.path, \"last_updated.yaml\"), \"r\")","# Location of the template assets used here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \"images\") @contextlib.contextmanager","existing BASE_IMAGE\" ) base_image = DagsterDockerImage(image_info[\"base_image\"][\"name\"]) source = image_info[\"base_image\"][\"source\"] if source == \"aws\":","\"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f: versions = yaml.safe_load(f.read()) image_info = versions.get(python_version,","to the image's path. Defaults to docker/images/<IMAGE NAME> \"\"\" def __new__(cls, image, build_cm=do_nothing,","Exception(\"Unrecognized source {}\".format(source)) # Set Dagster version docker_args[\"DAGSTER_VERSION\"] = current_dagster_version return docker_args def","images DEFAULT_LOCAL_PREFIX = \"dagster\" # Location of the template assets used here IMAGES_PATH","image name, like: \"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\" \"\"\" check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version, \"python_version\") check.opt_str_param(custom_tag, \"custom_tag\")","yield class DagsterDockerImage(namedtuple(\"_DagsterDockerImage\", \"image build_cm path\")): \"\"\"Represents a Dagster image. Properties: image (str):","last_updated = {} last_updated_path = os.path.join(self.path, \"last_updated.yaml\") if os.path.exists(last_updated_path): with open(last_updated_path, \"r\") as","self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self, python_version, custom_tag=None): \"\"\"Push this","execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, ) # Default repository prefix used for local images","{}) docker_args = image_info.get(\"docker_args\", {}) if \"base_image\" in image_info: check.invariant( \"BASE_IMAGE\" not in","another Dagster image to use as a base image. If defined, set the","we allow references in the image versions.yaml to another Dagster image to use","in image_info: check.invariant( \"BASE_IMAGE\" not in docker_args, \"Cannot override an existing BASE_IMAGE\" )","used here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \"images\") @contextlib.contextmanager def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\"_DagsterDockerImage\", \"image","= self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) return \"{}/{}:{}\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self, python_version=None,","the image build_cm (function): function that is a context manager for build (e.g.","a particular python_version of this image.\"\"\" check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") last_updated = {}","import contextlib import os from collections import namedtuple import yaml from dagster import","cache) path (Optional(str)): The path to the image's path. Defaults to docker/images/<IMAGE NAME>","= base_image.aws_image(python_version) elif source == \"local\": docker_args[\"BASE_IMAGE\"] = base_image.local_image(python_version) else: raise Exception(\"Unrecognized source","an existing BASE_IMAGE\" ) base_image = DagsterDockerImage(image_info[\"base_image\"][\"name\"]) source = image_info[\"base_image\"][\"source\"] if source ==","ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self, python_version): \"\"\"Retrieve Docker arguments from","last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version): \"\"\"Update the last_updated timestamp for a particular python_version","def python_versions(self): \"\"\"List of Python versions supported for this image.\"\"\" with open(os.path.join(self.path, \"versions.yaml\"),","class DagsterDockerImage(namedtuple(\"_DagsterDockerImage\", \"image build_cm path\")): \"\"\"Represents a Dagster image. Properties: image (str): Name","\"\"\"Update the last_updated timestamp for a particular python_version of this image.\"\"\" check.str_param(timestamp, \"timestamp\")","timestamp, dagster_version, python_version): check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") check.invariant( dagster_version == current_dagster_version, desc=\"Current dagster","check.invariant( \"BASE_IMAGE\" not in docker_args, \"Cannot override an existing BASE_IMAGE\" ) base_image =","\"python_version\") check.invariant( dagster_version == current_dagster_version, desc=\"Current dagster version ({}) does not match provided","__version__ as current_dagster_version from dagster import check from .ecr import ecr_image, get_aws_account_id, get_aws_region","\"python_version\") last_updated = {} last_updated_path = os.path.join(self.path, \"last_updated.yaml\") if os.path.exists(last_updated_path): with open(last_updated_path, \"r\")","= DagsterDockerImage(image_info[\"base_image\"][\"name\"]) source = image_info[\"base_image\"][\"source\"] if source == \"aws\": docker_args[\"BASE_IMAGE\"] = base_image.aws_image(python_version) elif","check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") last_updated = {} last_updated_path = os.path.join(self.path, \"last_updated.yaml\") if os.path.exists(last_updated_path):","match provided arg ({})\".format( current_dagster_version, dagster_version ), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build(","= yaml.safe_load(f.read()) last_updated[python_version] = timestamp with open(os.path.join(self.path, \"last_updated.yaml\"), \"w\") as f: yaml.dump(last_updated, f,","used for local images DEFAULT_LOCAL_PREFIX = \"dagster\" # Location of the template assets","last_updated = yaml.safe_load(f.read()) last_updated[python_version] = timestamp with open(os.path.join(self.path, \"last_updated.yaml\"), \"w\") as f: yaml.dump(last_updated,","image. \"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f: versions = yaml.safe_load(f.read()) image_info =","\"\"\"Generates the AWS ECR image name, like: \"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\" \"\"\" check.invariant(not (python_version and custom_tag))","with open(last_updated_path, \"r\") as f: last_updated = yaml.safe_load(f.read()) last_updated[python_version] = timestamp with open(os.path.join(self.path,","path=None): return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \"image\"), check.callable_param(build_cm, \"build_cm\"), check.opt_str_param( path, \"path\", default=os.path.join(os.path.dirname(__file__),","base_image.local_image(python_version) else: raise Exception(\"Unrecognized source {}\".format(source)) # Set Dagster version docker_args[\"DAGSTER_VERSION\"] = current_dagster_version","build (e.g. for populating a build cache) path (Optional(str)): The path to the","\"\"\" check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version, \"python_version\") check.opt_str_param(custom_tag, \"custom_tag\") if python_version: last_updated =","timestamp, python_version): \"\"\"Update the last_updated timestamp for a particular python_version of this image.\"\"\"","particular python_version of this image.\"\"\" check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") last_updated = {} last_updated_path","image_info[\"base_image\"][\"source\"] if source == \"aws\": docker_args[\"BASE_IMAGE\"] = base_image.aws_image(python_version) elif source == \"local\": docker_args[\"BASE_IMAGE\"]","import yaml from dagster import __version__ as current_dagster_version from dagster import check from","= custom_tag return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self, python_version): \"\"\"Retrieve","tag = custom_tag return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self, python_version):","f: versions = yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args = image_info.get(\"docker_args\", {}) if","for a particular python_version of this image.\"\"\" check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") last_updated =","execute_docker_push, execute_docker_tag, python_version_image_tag, ) # Default repository prefix used for local images DEFAULT_LOCAL_PREFIX","_set_last_updated_for_python_version(self, timestamp, python_version): \"\"\"Update the last_updated timestamp for a particular python_version of this","self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) return \"{}/{}:{}\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self, python_version=None, custom_tag=None):","a Dagster image. Properties: image (str): Name of the image build_cm (function): function","open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f: versions = yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version):","a particular python_version of this image.\"\"\" check.str_param(python_version, \"python_version\") with open(os.path.join(self.path, \"last_updated.yaml\"), \"r\") as","with latest Dagster version. Also, we allow references in the image versions.yaml to","), ) @property def python_versions(self): \"\"\"List of Python versions supported for this image.\"\"\"","f: versions = yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \"\"\"Retrieve the last_updated timestamp","The path to the image's path. Defaults to docker/images/<IMAGE NAME> \"\"\" def __new__(cls,","with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f: versions = yaml.safe_load(f.read()) image_info = versions.get(python_version, {})","def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\"_DagsterDockerImage\", \"image build_cm path\")): \"\"\"Represents a Dagster image. Properties:","Python versions supported for this image.\"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f: versions","else: tag = custom_tag return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self,","def __new__(cls, image, build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \"image\"), check.callable_param(build_cm, \"build_cm\"),","Set Dagster version docker_args[\"DAGSTER_VERSION\"] = current_dagster_version return docker_args def build(self, timestamp, dagster_version, python_version):","if \"base_image\" in image_info: check.invariant( \"BASE_IMAGE\" not in docker_args, \"Cannot override an existing","for populating a build cache) path (Optional(str)): The path to the image's path.","timestamp for a particular python_version of this image.\"\"\" check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") last_updated","= os.path.join(self.path, \"last_updated.yaml\") if os.path.exists(last_updated_path): with open(last_updated_path, \"r\") as f: last_updated = yaml.safe_load(f.read())","particular python_version of this image.\"\"\" check.str_param(python_version, \"python_version\") with open(os.path.join(self.path, \"last_updated.yaml\"), \"r\") as f:","\"python_version\") last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) return \"{}/{}:{}\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def","the template assets used here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \"images\") @contextlib.contextmanager def do_nothing(_cwd): yield","f: last_updated = yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version): \"\"\"Update the last_updated","dagster import check from .ecr import ecr_image, get_aws_account_id, get_aws_region from .utils import (","python_version=None, custom_tag=None): \"\"\"Generates the AWS ECR image name, like: \"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\" \"\"\" check.invariant(not (python_version","cls, check.str_param(image, \"image\"), check.callable_param(build_cm, \"build_cm\"), check.opt_str_param( path, \"path\", default=os.path.join(os.path.dirname(__file__), \"images\", image) ), )","default_flow_style=False) def local_image(self, python_version): \"\"\"Generates the local image name, like: \"dagster/foo:some-tag\" \"\"\" check.str_param(python_version,","yaml.dump(last_updated, f, default_flow_style=False) def local_image(self, python_version): \"\"\"Generates the local image name, like: \"dagster/foo:some-tag\"","as current_dagster_version from dagster import check from .ecr import ecr_image, get_aws_account_id, get_aws_region from","= python_version_image_tag(python_version, last_updated) else: tag = custom_tag return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(),","in the image versions.yaml to another Dagster image to use as a base","the parent image. \"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f: versions = yaml.safe_load(f.read())","check from .ecr import ecr_image, get_aws_account_id, get_aws_region from .utils import ( execute_docker_build, execute_docker_push,","aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self, python_version): \"\"\"Retrieve Docker arguments from this image's versions.yaml,","tag = python_version_image_tag(python_version, last_updated) return \"{}/{}:{}\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self, python_version=None, custom_tag=None): \"\"\"Generates","context manager for build (e.g. for populating a build cache) path (Optional(str)): The","\"images\", image) ), ) @property def python_versions(self): \"\"\"List of Python versions supported for","Dagster image. Properties: image (str): Name of the image build_cm (function): function that","image.\"\"\" check.str_param(python_version, \"python_version\") with open(os.path.join(self.path, \"last_updated.yaml\"), \"r\") as f: last_updated = yaml.safe_load(f.read()) return","a build cache) path (Optional(str)): The path to the image's path. Defaults to","(Optional(str)): The path to the image's path. Defaults to docker/images/<IMAGE NAME> \"\"\" def","custom_tag=None): \"\"\"Push this image to ECR.\"\"\" if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None, custom_tag=custom_tag), )","build cache) path (Optional(str)): The path to the image's path. Defaults to docker/images/<IMAGE","path to the image's path. Defaults to docker/images/<IMAGE NAME> \"\"\" def __new__(cls, image,","NAME> \"\"\" def __new__(cls, image, build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \"image\"),","check.str_param(python_version, \"python_version\") last_updated = {} last_updated_path = os.path.join(self.path, \"last_updated.yaml\") if os.path.exists(last_updated_path): with open(last_updated_path,","the AWS ECR image name, like: \"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\" \"\"\" check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version,","use as a base image. If defined, set the BASE_IMAGE Docker arg from","If defined, set the BASE_IMAGE Docker arg from the full name of the","update with latest Dagster version. Also, we allow references in the image versions.yaml","self.image, tag) def aws_image(self, python_version=None, custom_tag=None): \"\"\"Generates the AWS ECR image name, like:","def _get_last_updated_for_python_version(self, python_version): \"\"\"Retrieve the last_updated timestamp for a particular python_version of this","to ECR.\"\"\" if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None, custom_tag=custom_tag), ) execute_docker_push(self.aws_image(python_version=None, custom_tag=custom_tag)) else: execute_docker_tag(self.local_image(python_version),","image_info = versions.get(python_version, {}) docker_args = image_info.get(\"docker_args\", {}) if \"base_image\" in image_info: check.invariant(","image.\"\"\" check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") last_updated = {} last_updated_path = os.path.join(self.path, \"last_updated.yaml\") if","# Set Dagster version docker_args[\"DAGSTER_VERSION\"] = current_dagster_version return docker_args def build(self, timestamp, dagster_version,","Properties: image (str): Name of the image build_cm (function): function that is a","\"custom_tag\") if python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) else: tag =","image. Properties: image (str): Name of the image build_cm (function): function that is","assets used here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \"images\") @contextlib.contextmanager def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\"_DagsterDockerImage\",","version. Also, we allow references in the image versions.yaml to another Dagster image","({}) does not match provided arg ({})\".format( current_dagster_version, dagster_version ), ) with self.build_cm(self.path):","versions.yaml to another Dagster image to use as a base image. If defined,","def build(self, timestamp, dagster_version, python_version): check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") check.invariant( dagster_version == current_dagster_version,","@contextlib.contextmanager def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\"_DagsterDockerImage\", \"image build_cm path\")): \"\"\"Represents a Dagster image.","with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f: versions = yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self,","custom_tag)) check.opt_str_param(python_version, \"python_version\") check.opt_str_param(custom_tag, \"custom_tag\") if python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version,","return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \"image\"), check.callable_param(build_cm, \"build_cm\"), check.opt_str_param( path, \"path\", default=os.path.join(os.path.dirname(__file__), \"images\",","check.str_param(python_version, \"python_version\") with open(os.path.join(self.path, \"last_updated.yaml\"), \"r\") as f: last_updated = yaml.safe_load(f.read()) return last_updated[python_version]","yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \"\"\"Retrieve the last_updated timestamp for a particular","cwd=self.path, ) def push(self, python_version, custom_tag=None): \"\"\"Push this image to ECR.\"\"\" if custom_tag:","python_version_image_tag(python_version, last_updated) else: tag = custom_tag return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), )","\"\"\"Retrieve Docker arguments from this image's versions.yaml, and update with latest Dagster version.","from collections import namedtuple import yaml from dagster import __version__ as current_dagster_version from","__new__(cls, image, build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \"image\"), check.callable_param(build_cm, \"build_cm\"), check.opt_str_param(","the BASE_IMAGE Docker arg from the full name of the parent image. \"\"\"","image. If defined, set the BASE_IMAGE Docker arg from the full name of","(e.g. for populating a build cache) path (Optional(str)): The path to the image's","current_dagster_version, dagster_version ), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, )","= base_image.local_image(python_version) else: raise Exception(\"Unrecognized source {}\".format(source)) # Set Dagster version docker_args[\"DAGSTER_VERSION\"] =","python_versions(self): \"\"\"List of Python versions supported for this image.\"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\")","python_version of this image.\"\"\" check.str_param(python_version, \"python_version\") with open(os.path.join(self.path, \"last_updated.yaml\"), \"r\") as f: last_updated","desc=\"Current dagster version ({}) does not match provided arg ({})\".format( current_dagster_version, dagster_version ),","default=os.path.join(os.path.dirname(__file__), \"images\", image) ), ) @property def python_versions(self): \"\"\"List of Python versions supported","image_info.get(\"docker_args\", {}) if \"base_image\" in image_info: check.invariant( \"BASE_IMAGE\" not in docker_args, \"Cannot override","DagsterDockerImage(namedtuple(\"_DagsterDockerImage\", \"image build_cm path\")): \"\"\"Represents a Dagster image. Properties: image (str): Name of","image's path. Defaults to docker/images/<IMAGE NAME> \"\"\" def __new__(cls, image, build_cm=do_nothing, path=None): return","of the template assets used here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \"images\") @contextlib.contextmanager def do_nothing(_cwd):","def local_image(self, python_version): \"\"\"Generates the local image name, like: \"dagster/foo:some-tag\" \"\"\" check.str_param(python_version, \"python_version\")","and custom_tag)) check.opt_str_param(python_version, \"python_version\") check.opt_str_param(custom_tag, \"custom_tag\") if python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag =","def _get_docker_args(self, python_version): \"\"\"Retrieve Docker arguments from this image's versions.yaml, and update with","\"dagster\" # Location of the template assets used here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \"images\")","local image name, like: \"dagster/foo:some-tag\" \"\"\" check.str_param(python_version, \"python_version\") last_updated = self._get_last_updated_for_python_version(python_version) tag =","current_dagster_version from dagster import check from .ecr import ecr_image, get_aws_account_id, get_aws_region from .utils","custom_tag return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self, python_version): \"\"\"Retrieve Docker","for local images DEFAULT_LOCAL_PREFIX = \"dagster\" # Location of the template assets used","if source == \"aws\": docker_args[\"BASE_IMAGE\"] = base_image.aws_image(python_version) elif source == \"local\": docker_args[\"BASE_IMAGE\"] =","full name of the parent image. \"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f:","docker_args = image_info.get(\"docker_args\", {}) if \"base_image\" in image_info: check.invariant( \"BASE_IMAGE\" not in docker_args,","image) ), ) @property def python_versions(self): \"\"\"List of Python versions supported for this","_get_last_updated_for_python_version(self, python_version): \"\"\"Retrieve the last_updated timestamp for a particular python_version of this image.\"\"\"","self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self, python_version, custom_tag=None): \"\"\"Push","of the parent image. \"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f: versions =","the image versions.yaml to another Dagster image to use as a base image.","from .ecr import ecr_image, get_aws_account_id, get_aws_region from .utils import ( execute_docker_build, execute_docker_push, execute_docker_tag,","Docker arg from the full name of the parent image. \"\"\" with open(os.path.join(self.path,","dagster_version, python_version): check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") check.invariant( dagster_version == current_dagster_version, desc=\"Current dagster version","versions.yaml, and update with latest Dagster version. Also, we allow references in the","not match provided arg ({})\".format( current_dagster_version, dagster_version ), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version)","\"\"\"Represents a Dagster image. Properties: image (str): Name of the image build_cm (function):","f: yaml.dump(last_updated, f, default_flow_style=False) def local_image(self, python_version): \"\"\"Generates the local image name, like:","latest Dagster version. Also, we allow references in the image versions.yaml to another","\"timestamp\") check.str_param(python_version, \"python_version\") check.invariant( dagster_version == current_dagster_version, desc=\"Current dagster version ({}) does not","allow references in the image versions.yaml to another Dagster image to use as","\"r\") as f: versions = yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \"\"\"Retrieve the","{} last_updated_path = os.path.join(self.path, \"last_updated.yaml\") if os.path.exists(last_updated_path): with open(last_updated_path, \"r\") as f: last_updated","last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) return \"{}/{}:{}\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self,","cls).__new__( cls, check.str_param(image, \"image\"), check.callable_param(build_cm, \"build_cm\"), check.opt_str_param( path, \"path\", default=os.path.join(os.path.dirname(__file__), \"images\", image) ),","path (Optional(str)): The path to the image's path. Defaults to docker/images/<IMAGE NAME> \"\"\"","of Python versions supported for this image.\"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f:","build_cm path\")): \"\"\"Represents a Dagster image. Properties: image (str): Name of the image","image.\"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f: versions = yaml.safe_load(f.read()) return list(versions.keys()) def","to docker/images/<IMAGE NAME> \"\"\" def __new__(cls, image, build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__( cls,","import ecr_image, get_aws_account_id, get_aws_region from .utils import ( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, )","python_version of this image.\"\"\" check.str_param(timestamp, \"timestamp\") check.str_param(python_version, \"python_version\") last_updated = {} last_updated_path =","and update with latest Dagster version. Also, we allow references in the image","as a base image. If defined, set the BASE_IMAGE Docker arg from the","= self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) else: tag = custom_tag return ecr_image( self.image,","@property def python_versions(self): \"\"\"List of Python versions supported for this image.\"\"\" with open(os.path.join(self.path,","populating a build cache) path (Optional(str)): The path to the image's path. Defaults","\"BASE_IMAGE\" not in docker_args, \"Cannot override an existing BASE_IMAGE\" ) base_image = DagsterDockerImage(image_info[\"base_image\"][\"name\"])","from the full name of the parent image. \"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\")","else: raise Exception(\"Unrecognized source {}\".format(source)) # Set Dagster version docker_args[\"DAGSTER_VERSION\"] = current_dagster_version return","dagster_version ), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def","os from collections import namedtuple import yaml from dagster import __version__ as current_dagster_version","image build_cm (function): function that is a context manager for build (e.g. for","image's versions.yaml, and update with latest Dagster version. Also, we allow references in","as f: last_updated = yaml.safe_load(f.read()) last_updated[python_version] = timestamp with open(os.path.join(self.path, \"last_updated.yaml\"), \"w\") as","last_updated = yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version): \"\"\"Update the last_updated timestamp","yaml.safe_load(f.read()) last_updated[python_version] = timestamp with open(os.path.join(self.path, \"last_updated.yaml\"), \"w\") as f: yaml.dump(last_updated, f, default_flow_style=False)","for this image.\"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f: versions = yaml.safe_load(f.read()) return","python_version): \"\"\"Update the last_updated timestamp for a particular python_version of this image.\"\"\" check.str_param(timestamp,","local_image(self, python_version): \"\"\"Generates the local image name, like: \"dagster/foo:some-tag\" \"\"\" check.str_param(python_version, \"python_version\") last_updated","\"\"\" check.str_param(python_version, \"python_version\") last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) return \"{}/{}:{}\".format(DEFAULT_LOCAL_PREFIX, self.image,","arguments from this image's versions.yaml, and update with latest Dagster version. Also, we","image to ECR.\"\"\" if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None, custom_tag=custom_tag), ) execute_docker_push(self.aws_image(python_version=None, custom_tag=custom_tag)) else:",") @property def python_versions(self): \"\"\"List of Python versions supported for this image.\"\"\" with","= image_info.get(\"docker_args\", {}) if \"base_image\" in image_info: check.invariant( \"BASE_IMAGE\" not in docker_args, \"Cannot","Name of the image build_cm (function): function that is a context manager for","parent image. \"\"\" with open(os.path.join(self.path, \"versions.yaml\"), \"r\") as f: versions = yaml.safe_load(f.read()) image_info","import check from .ecr import ecr_image, get_aws_account_id, get_aws_region from .utils import ( execute_docker_build,","local images DEFAULT_LOCAL_PREFIX = \"dagster\" # Location of the template assets used here","path\")): \"\"\"Represents a Dagster image. Properties: image (str): Name of the image build_cm","docker_args, \"Cannot override an existing BASE_IMAGE\" ) base_image = DagsterDockerImage(image_info[\"base_image\"][\"name\"]) source = image_info[\"base_image\"][\"source\"]","python_version_image_tag(python_version, last_updated) return \"{}/{}:{}\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self, python_version=None, custom_tag=None): \"\"\"Generates the AWS"],"string":"[\n \"\\\"r\\\") as f: versions = yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args = image_info.get(\\\"docker_args\\\",\",\n \"Docker arguments from this image's versions.yaml, and update with latest Dagster version. Also,\",\n \"self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) else: tag = custom_tag return ecr_image( self.image, tag,\",\n \"image versions.yaml to another Dagster image to use as a base image. If\",\n \"\\\"versions.yaml\\\"), \\\"r\\\") as f: versions = yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args =\",\n \"= {} last_updated_path = os.path.join(self.path, \\\"last_updated.yaml\\\") if os.path.exists(last_updated_path): with open(last_updated_path, \\\"r\\\") as f:\",\n \"open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"w\\\") as f: yaml.dump(last_updated, f, default_flow_style=False) def local_image(self, python_version): \\\"\\\"\\\"Generates the\",\n \"image name, like: \\\"dagster/foo:some-tag\\\" \\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version,\",\n \"a base image. If defined, set the BASE_IMAGE Docker arg from the full\",\n \"defined, set the BASE_IMAGE Docker arg from the full name of the parent\",\n \"\\\"versions.yaml\\\"), \\\"r\\\") as f: versions = yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \\\"\\\"\\\"Retrieve\",\n \"BASE_IMAGE Docker arg from the full name of the parent image. \\\"\\\"\\\" with\",\n \"return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version): \\\"\\\"\\\"Update the last_updated timestamp for a particular\",\n \"= yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version): \\\"\\\"\\\"Update the last_updated timestamp for\",\n \"list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \\\"\\\"\\\"Retrieve the last_updated timestamp for a particular python_version of\",\n \"= image_info[\\\"base_image\\\"][\\\"source\\\"] if source == \\\"aws\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.aws_image(python_version) elif source == \\\"local\\\":\",\n \"timestamp for a particular python_version of this image.\\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") with open(os.path.join(self.path, \\\"last_updated.yaml\\\"),\",\n \") # Default repository prefix used for local images DEFAULT_LOCAL_PREFIX = \\\"dagster\\\" #\",\n \"yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version): \\\"\\\"\\\"Update the last_updated timestamp for a\",\n \"python_version_image_tag, ) # Default repository prefix used for local images DEFAULT_LOCAL_PREFIX = \\\"dagster\\\"\",\n \"last_updated timestamp for a particular python_version of this image.\\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") with open(os.path.join(self.path,\",\n \"\\\"build_cm\\\"), check.opt_str_param( path, \\\"path\\\", default=os.path.join(os.path.dirname(__file__), \\\"images\\\", image) ), ) @property def python_versions(self): \\\"\\\"\\\"List\",\n \"\\\"Cannot override an existing BASE_IMAGE\\\" ) base_image = DagsterDockerImage(image_info[\\\"base_image\\\"][\\\"name\\\"]) source = image_info[\\\"base_image\\\"][\\\"source\\\"] if\",\n \"this image.\\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f: versions = yaml.safe_load(f.read()) return list(versions.keys())\",\n \"version ({}) does not match provided arg ({})\\\".format( current_dagster_version, dagster_version ), ) with\",\n \"template assets used here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \\\"images\\\") @contextlib.contextmanager def do_nothing(_cwd): yield class\",\n \"check.str_param(python_version, \\\"python_version\\\") last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) return \\\"{}/{}:{}\\\".format(DEFAULT_LOCAL_PREFIX, self.image, tag)\",\n \"image, build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \\\"image\\\"), check.callable_param(build_cm, \\\"build_cm\\\"), check.opt_str_param( path,\",\n \"), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self,\",\n \"source == \\\"aws\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.aws_image(python_version) elif source == \\\"local\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.local_image(python_version)\",\n \"def push(self, python_version, custom_tag=None): \\\"\\\"\\\"Push this image to ECR.\\\"\\\"\\\" if custom_tag: execute_docker_tag( self.local_image(python_version),\",\n \"= versions.get(python_version, {}) docker_args = image_info.get(\\\"docker_args\\\", {}) if \\\"base_image\\\" in image_info: check.invariant( \\\"BASE_IMAGE\\\"\",\n \"IMAGES_PATH = os.path.join(os.path.dirname(__file__), \\\"images\\\") @contextlib.contextmanager def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\\\"_DagsterDockerImage\\\", \\\"image build_cm path\\\")):\",\n \"last_updated) return \\\"{}/{}:{}\\\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self, python_version=None, custom_tag=None): \\\"\\\"\\\"Generates the AWS ECR\",\n \"\\\"\\\"\\\" def __new__(cls, image, build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \\\"image\\\"), check.callable_param(build_cm,\",\n \"prefix used for local images DEFAULT_LOCAL_PREFIX = \\\"dagster\\\" # Location of the template\",\n \"as f: last_updated = yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version): \\\"\\\"\\\"Update the\",\n \"function that is a context manager for build (e.g. for populating a build\",\n \"of the image build_cm (function): function that is a context manager for build\",\n \"yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args = image_info.get(\\\"docker_args\\\", {}) if \\\"base_image\\\" in image_info:\",\n \"ecr_image, get_aws_account_id, get_aws_region from .utils import ( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, ) #\",\n \"python_version): \\\"\\\"\\\"Retrieve the last_updated timestamp for a particular python_version of this image.\\\"\\\"\\\" check.str_param(python_version,\",\n \"return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \\\"\\\"\\\"Retrieve the last_updated timestamp for a particular python_version\",\n \"from dagster import __version__ as current_dagster_version from dagster import check from .ecr import\",\n \"<filename>python_modules/automation/automation/docker/dagster_docker.py import contextlib import os from collections import namedtuple import yaml from dagster\",\n \"(python_version and custom_tag)) check.opt_str_param(python_version, \\\"python_version\\\") check.opt_str_param(custom_tag, \\\"custom_tag\\\") if python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag\",\n \"({})\\\".format( current_dagster_version, dagster_version ), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path,\",\n \"= yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \\\"\\\"\\\"Retrieve the last_updated timestamp for a\",\n \"\\\"last_updated.yaml\\\") if os.path.exists(last_updated_path): with open(last_updated_path, \\\"r\\\") as f: last_updated = yaml.safe_load(f.read()) last_updated[python_version] =\",\n \"\\\"python_version\\\") check.opt_str_param(custom_tag, \\\"custom_tag\\\") if python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) else:\",\n \"base image. If defined, set the BASE_IMAGE Docker arg from the full name\",\n \"\\\"image build_cm path\\\")): \\\"\\\"\\\"Represents a Dagster image. Properties: image (str): Name of the\",\n \"= current_dagster_version return docker_args def build(self, timestamp, dagster_version, python_version): check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\")\",\n \"is a context manager for build (e.g. for populating a build cache) path\",\n \"\\\"\\\"\\\"Retrieve the last_updated timestamp for a particular python_version of this image.\\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\")\",\n \"version docker_args[\\\"DAGSTER_VERSION\\\"] = current_dagster_version return docker_args def build(self, timestamp, dagster_version, python_version): check.str_param(timestamp, \\\"timestamp\\\")\",\n \"def aws_image(self, python_version=None, custom_tag=None): \\\"\\\"\\\"Generates the AWS ECR image name, like: \\\"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\\\" \\\"\\\"\\\"\",\n \"with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"r\\\") as f: last_updated = yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self,\",\n \"check.str_param(image, \\\"image\\\"), check.callable_param(build_cm, \\\"build_cm\\\"), check.opt_str_param( path, \\\"path\\\", default=os.path.join(os.path.dirname(__file__), \\\"images\\\", image) ), ) @property\",\n \"override an existing BASE_IMAGE\\\" ) base_image = DagsterDockerImage(image_info[\\\"base_image\\\"][\\\"name\\\"]) source = image_info[\\\"base_image\\\"][\\\"source\\\"] if source\",\n \"not in docker_args, \\\"Cannot override an existing BASE_IMAGE\\\" ) base_image = DagsterDockerImage(image_info[\\\"base_image\\\"][\\\"name\\\"]) source\",\n \"Defaults to docker/images/<IMAGE NAME> \\\"\\\"\\\" def __new__(cls, image, build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__(\",\n \"os.path.join(self.path, \\\"last_updated.yaml\\\") if os.path.exists(last_updated_path): with open(last_updated_path, \\\"r\\\") as f: last_updated = yaml.safe_load(f.read()) last_updated[python_version]\",\n \"self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self, python_version): \\\"\\\"\\\"Retrieve Docker arguments from this\",\n \"Location of the template assets used here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \\\"images\\\") @contextlib.contextmanager def\",\n \"versions = yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \\\"\\\"\\\"Retrieve the last_updated timestamp for\",\n \"\\\"\\\"\\\"Generates the local image name, like: \\\"dagster/foo:some-tag\\\" \\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") last_updated = self._get_last_updated_for_python_version(python_version)\",\n \"from this image's versions.yaml, and update with latest Dagster version. Also, we allow\",\n \"f, default_flow_style=False) def local_image(self, python_version): \\\"\\\"\\\"Generates the local image name, like: \\\"dagster/foo:some-tag\\\" \\\"\\\"\\\"\",\n \"to use as a base image. If defined, set the BASE_IMAGE Docker arg\",\n \"supported for this image.\\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f: versions = yaml.safe_load(f.read())\",\n \"python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self, python_version, custom_tag=None): \\\"\\\"\\\"Push this image\",\n \"= python_version_image_tag(python_version, last_updated) return \\\"{}/{}:{}\\\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self, python_version=None, custom_tag=None): \\\"\\\"\\\"Generates the\",\n \"timestamp with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"w\\\") as f: yaml.dump(last_updated, f, default_flow_style=False) def local_image(self, python_version):\",\n \"\\\"local\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.local_image(python_version) else: raise Exception(\\\"Unrecognized source {}\\\".format(source)) # Set Dagster version\",\n \"check.opt_str_param( path, \\\"path\\\", default=os.path.join(os.path.dirname(__file__), \\\"images\\\", image) ), ) @property def python_versions(self): \\\"\\\"\\\"List of\",\n \"as f: versions = yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args = image_info.get(\\\"docker_args\\\", {})\",\n \"the image's path. Defaults to docker/images/<IMAGE NAME> \\\"\\\"\\\" def __new__(cls, image, build_cm=do_nothing, path=None):\",\n \"dagster_version == current_dagster_version, desc=\\\"Current dagster version ({}) does not match provided arg ({})\\\".format(\",\n \"tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self, python_version): \\\"\\\"\\\"Retrieve Docker arguments from this image's\",\n \"docker_args def build(self, timestamp, dagster_version, python_version): check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") check.invariant( dagster_version ==\",\n \"a context manager for build (e.g. for populating a build cache) path (Optional(str)):\",\n \"do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\\\"_DagsterDockerImage\\\", \\\"image build_cm path\\\")): \\\"\\\"\\\"Represents a Dagster image. Properties: image\",\n \"versions.get(python_version, {}) docker_args = image_info.get(\\\"docker_args\\\", {}) if \\\"base_image\\\" in image_info: check.invariant( \\\"BASE_IMAGE\\\" not\",\n \"self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self, python_version, custom_tag=None): \\\"\\\"\\\"Push this image to ECR.\\\"\\\"\\\"\",\n \"\\\"r\\\") as f: last_updated = yaml.safe_load(f.read()) last_updated[python_version] = timestamp with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"w\\\")\",\n \"check.callable_param(build_cm, \\\"build_cm\\\"), check.opt_str_param( path, \\\"path\\\", default=os.path.join(os.path.dirname(__file__), \\\"images\\\", image) ), ) @property def python_versions(self):\",\n \"image_info: check.invariant( \\\"BASE_IMAGE\\\" not in docker_args, \\\"Cannot override an existing BASE_IMAGE\\\" ) base_image\",\n \"= timestamp with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"w\\\") as f: yaml.dump(last_updated, f, default_flow_style=False) def local_image(self,\",\n \"execute_docker_tag, python_version_image_tag, ) # Default repository prefix used for local images DEFAULT_LOCAL_PREFIX =\",\n \"current_dagster_version return docker_args def build(self, timestamp, dagster_version, python_version): check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") check.invariant(\",\n \"Dagster image to use as a base image. If defined, set the BASE_IMAGE\",\n \"_get_docker_args(self, python_version): \\\"\\\"\\\"Retrieve Docker arguments from this image's versions.yaml, and update with latest\",\n \"docker/images/<IMAGE NAME> \\\"\\\"\\\" def __new__(cls, image, build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image,\",\n \"last_updated[python_version] = timestamp with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"w\\\") as f: yaml.dump(last_updated, f, default_flow_style=False) def\",\n \"import namedtuple import yaml from dagster import __version__ as current_dagster_version from dagster import\",\n \"arg ({})\\\".format( current_dagster_version, dagster_version ), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version),\",\n \"python_version, custom_tag=None): \\\"\\\"\\\"Push this image to ECR.\\\"\\\"\\\" if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None, custom_tag=custom_tag),\",\n \"check.opt_str_param(python_version, \\\"python_version\\\") check.opt_str_param(custom_tag, \\\"custom_tag\\\") if python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated)\",\n \"the local image name, like: \\\"dagster/foo:some-tag\\\" \\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") last_updated = self._get_last_updated_for_python_version(python_version) tag\",\n \"build_cm (function): function that is a context manager for build (e.g. for populating\",\n \"the last_updated timestamp for a particular python_version of this image.\\\"\\\"\\\" check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version,\",\n \"arg from the full name of the parent image. \\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"),\",\n \"if python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) else: tag = custom_tag\",\n \"with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self, python_version, custom_tag=None):\",\n \"from dagster import check from .ecr import ecr_image, get_aws_account_id, get_aws_region from .utils import\",\n \"with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"w\\\") as f: yaml.dump(last_updated, f, default_flow_style=False) def local_image(self, python_version): \\\"\\\"\\\"Generates\",\n \"source = image_info[\\\"base_image\\\"][\\\"source\\\"] if source == \\\"aws\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.aws_image(python_version) elif source ==\",\n \"like: \\\"dagster/foo:some-tag\\\" \\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) return\",\n \"in docker_args, \\\"Cannot override an existing BASE_IMAGE\\\" ) base_image = DagsterDockerImage(image_info[\\\"base_image\\\"][\\\"name\\\"]) source =\",\n \") def _get_docker_args(self, python_version): \\\"\\\"\\\"Retrieve Docker arguments from this image's versions.yaml, and update\",\n \"set the BASE_IMAGE Docker arg from the full name of the parent image.\",\n \"{}\\\".format(source)) # Set Dagster version docker_args[\\\"DAGSTER_VERSION\\\"] = current_dagster_version return docker_args def build(self, timestamp,\",\n \"manager for build (e.g. for populating a build cache) path (Optional(str)): The path\",\n \"\\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") last_updated = {} last_updated_path = os.path.join(self.path, \\\"last_updated.yaml\\\") if os.path.exists(last_updated_path): with\",\n \"\\\"base_image\\\" in image_info: check.invariant( \\\"BASE_IMAGE\\\" not in docker_args, \\\"Cannot override an existing BASE_IMAGE\\\"\",\n \"current_dagster_version, desc=\\\"Current dagster version ({}) does not match provided arg ({})\\\".format( current_dagster_version, dagster_version\",\n \"the last_updated timestamp for a particular python_version of this image.\\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") with\",\n \"f: last_updated = yaml.safe_load(f.read()) last_updated[python_version] = timestamp with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"w\\\") as f:\",\n \"\\\"\\\"\\\"List of Python versions supported for this image.\\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as\",\n \"open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f: versions = yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args\",\n \"base_image.aws_image(python_version) elif source == \\\"local\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.local_image(python_version) else: raise Exception(\\\"Unrecognized source {}\\\".format(source))\",\n \"of this image.\\\"\\\"\\\" check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") last_updated = {} last_updated_path = os.path.join(self.path,\",\n \"python_version): check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") check.invariant( dagster_version == current_dagster_version, desc=\\\"Current dagster version ({})\",\n \"DagsterDockerImage(image_info[\\\"base_image\\\"][\\\"name\\\"]) source = image_info[\\\"base_image\\\"][\\\"source\\\"] if source == \\\"aws\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.aws_image(python_version) elif source\",\n \"build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \\\"image\\\"), check.callable_param(build_cm, \\\"build_cm\\\"), check.opt_str_param( path, \\\"path\\\",\",\n \"check.opt_str_param(custom_tag, \\\"custom_tag\\\") if python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) else: tag\",\n \"Dagster version. Also, we allow references in the image versions.yaml to another Dagster\",\n \") def push(self, python_version, custom_tag=None): \\\"\\\"\\\"Push this image to ECR.\\\"\\\"\\\" if custom_tag: execute_docker_tag(\",\n \"this image.\\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"r\\\") as f: last_updated = yaml.safe_load(f.read())\",\n \"Dagster version docker_args[\\\"DAGSTER_VERSION\\\"] = current_dagster_version return docker_args def build(self, timestamp, dagster_version, python_version): check.str_param(timestamp,\",\n \"ECR.\\\"\\\"\\\" if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None, custom_tag=custom_tag), ) execute_docker_push(self.aws_image(python_version=None, custom_tag=custom_tag)) else: execute_docker_tag(self.local_image(python_version), self.aws_image(python_version))\",\n \"== current_dagster_version, desc=\\\"Current dagster version ({}) does not match provided arg ({})\\\".format( current_dagster_version,\",\n \"python_version): \\\"\\\"\\\"Retrieve Docker arguments from this image's versions.yaml, and update with latest Dagster\",\n \"base_image = DagsterDockerImage(image_info[\\\"base_image\\\"][\\\"name\\\"]) source = image_info[\\\"base_image\\\"][\\\"source\\\"] if source == \\\"aws\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.aws_image(python_version)\",\n \"Default repository prefix used for local images DEFAULT_LOCAL_PREFIX = \\\"dagster\\\" # Location of\",\n \".ecr import ecr_image, get_aws_account_id, get_aws_region from .utils import ( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag,\",\n \"\\\"last_updated.yaml\\\"), \\\"w\\\") as f: yaml.dump(last_updated, f, default_flow_style=False) def local_image(self, python_version): \\\"\\\"\\\"Generates the local\",\n \"= os.path.join(os.path.dirname(__file__), \\\"images\\\") @contextlib.contextmanager def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\\\"_DagsterDockerImage\\\", \\\"image build_cm path\\\")): \\\"\\\"\\\"Represents\",\n \"\\\"images\\\") @contextlib.contextmanager def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\\\"_DagsterDockerImage\\\", \\\"image build_cm path\\\")): \\\"\\\"\\\"Represents a Dagster\",\n \"check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version, \\\"python_version\\\") check.opt_str_param(custom_tag, \\\"custom_tag\\\") if python_version: last_updated = self._get_last_updated_for_python_version(python_version)\",\n \"execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self, python_version, custom_tag=None): \\\"\\\"\\\"Push this image to\",\n \"docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self, python_version, custom_tag=None): \\\"\\\"\\\"Push this image to ECR.\\\"\\\"\\\" if\",\n \"path, \\\"path\\\", default=os.path.join(os.path.dirname(__file__), \\\"images\\\", image) ), ) @property def python_versions(self): \\\"\\\"\\\"List of Python\",\n \"the full name of the parent image. \\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as\",\n \"last_updated) else: tag = custom_tag return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def\",\n \"repository prefix used for local images DEFAULT_LOCAL_PREFIX = \\\"dagster\\\" # Location of the\",\n \"\\\"\\\"\\\"Push this image to ECR.\\\"\\\"\\\" if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None, custom_tag=custom_tag), ) execute_docker_push(self.aws_image(python_version=None,\",\n \"aws_region=get_aws_region(), ) def _get_docker_args(self, python_version): \\\"\\\"\\\"Retrieve Docker arguments from this image's versions.yaml, and\",\n \"super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \\\"image\\\"), check.callable_param(build_cm, \\\"build_cm\\\"), check.opt_str_param( path, \\\"path\\\", default=os.path.join(os.path.dirname(__file__), \\\"images\\\", image)\",\n \"last_updated timestamp for a particular python_version of this image.\\\"\\\"\\\" check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\")\",\n \"\\\"{}/{}:{}\\\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self, python_version=None, custom_tag=None): \\\"\\\"\\\"Generates the AWS ECR image name,\",\n \"\\\"dagster/foo:some-tag\\\" \\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) return \\\"{}/{}:{}\\\".format(DEFAULT_LOCAL_PREFIX,\",\n \"name of the parent image. \\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f: versions\",\n \"as f: versions = yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \\\"\\\"\\\"Retrieve the last_updated\",\n \"Also, we allow references in the image versions.yaml to another Dagster image to\",\n \"image (str): Name of the image build_cm (function): function that is a context\",\n \"# Default repository prefix used for local images DEFAULT_LOCAL_PREFIX = \\\"dagster\\\" # Location\",\n \"from .utils import ( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, ) # Default repository prefix\",\n \"return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self, python_version): \\\"\\\"\\\"Retrieve Docker arguments\",\n \") with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self, python_version,\",\n \"here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \\\"images\\\") @contextlib.contextmanager def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\\\"_DagsterDockerImage\\\", \\\"image build_cm\",\n \"BASE_IMAGE\\\" ) base_image = DagsterDockerImage(image_info[\\\"base_image\\\"][\\\"name\\\"]) source = image_info[\\\"base_image\\\"][\\\"source\\\"] if source == \\\"aws\\\": docker_args[\\\"BASE_IMAGE\\\"]\",\n \"name, like: \\\"dagster/foo:some-tag\\\" \\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated)\",\n \"ECR image name, like: \\\"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\\\" \\\"\\\"\\\" check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version, \\\"python_version\\\") check.opt_str_param(custom_tag,\",\n \"AWS ECR image name, like: \\\"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\\\" \\\"\\\"\\\" check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version, \\\"python_version\\\")\",\n \"tag) def aws_image(self, python_version=None, custom_tag=None): \\\"\\\"\\\"Generates the AWS ECR image name, like: \\\"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\\\"\",\n \"elif source == \\\"local\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.local_image(python_version) else: raise Exception(\\\"Unrecognized source {}\\\".format(source)) #\",\n \"aws_image(self, python_version=None, custom_tag=None): \\\"\\\"\\\"Generates the AWS ECR image name, like: \\\"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\\\" \\\"\\\"\\\" check.invariant(not\",\n \"tag = python_version_image_tag(python_version, last_updated) else: tag = custom_tag return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(),\",\n \"push(self, python_version, custom_tag=None): \\\"\\\"\\\"Push this image to ECR.\\\"\\\"\\\" if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None,\",\n \"python_version): \\\"\\\"\\\"Generates the local image name, like: \\\"dagster/foo:some-tag\\\" \\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") last_updated =\",\n \"as f: yaml.dump(last_updated, f, default_flow_style=False) def local_image(self, python_version): \\\"\\\"\\\"Generates the local image name,\",\n \"this image.\\\"\\\"\\\" check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") last_updated = {} last_updated_path = os.path.join(self.path, \\\"last_updated.yaml\\\")\",\n \"name, like: \\\"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\\\" \\\"\\\"\\\" check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version, \\\"python_version\\\") check.opt_str_param(custom_tag, \\\"custom_tag\\\") if\",\n \"\\\"path\\\", default=os.path.join(os.path.dirname(__file__), \\\"images\\\", image) ), ) @property def python_versions(self): \\\"\\\"\\\"List of Python versions\",\n \"\\\"last_updated.yaml\\\"), \\\"r\\\") as f: last_updated = yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version):\",\n \"custom_tag=None): \\\"\\\"\\\"Generates the AWS ECR image name, like: \\\"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\\\" \\\"\\\"\\\" check.invariant(not (python_version and\",\n \"import __version__ as current_dagster_version from dagster import check from .ecr import ecr_image, get_aws_account_id,\",\n \"references in the image versions.yaml to another Dagster image to use as a\",\n \"if os.path.exists(last_updated_path): with open(last_updated_path, \\\"r\\\") as f: last_updated = yaml.safe_load(f.read()) last_updated[python_version] = timestamp\",\n \"(str): Name of the image build_cm (function): function that is a context manager\",\n \"source {}\\\".format(source)) # Set Dagster version docker_args[\\\"DAGSTER_VERSION\\\"] = current_dagster_version return docker_args def build(self,\",\n \"yaml from dagster import __version__ as current_dagster_version from dagster import check from .ecr\",\n \"source == \\\"local\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.local_image(python_version) else: raise Exception(\\\"Unrecognized source {}\\\".format(source)) # Set\",\n \"= yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args = image_info.get(\\\"docker_args\\\", {}) if \\\"base_image\\\" in\",\n \"(function): function that is a context manager for build (e.g. for populating a\",\n \"raise Exception(\\\"Unrecognized source {}\\\".format(source)) # Set Dagster version docker_args[\\\"DAGSTER_VERSION\\\"] = current_dagster_version return docker_args\",\n \".utils import ( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, ) # Default repository prefix used\",\n \"if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None, custom_tag=custom_tag), ) execute_docker_push(self.aws_image(python_version=None, custom_tag=custom_tag)) else: execute_docker_tag(self.local_image(python_version), self.aws_image(python_version)) execute_docker_push(self.aws_image(python_version))\",\n \"for build (e.g. for populating a build cache) path (Optional(str)): The path to\",\n \"namedtuple import yaml from dagster import __version__ as current_dagster_version from dagster import check\",\n \"== \\\"aws\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.aws_image(python_version) elif source == \\\"local\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.local_image(python_version) else:\",\n \"to another Dagster image to use as a base image. If defined, set\",\n \"get_aws_account_id, get_aws_region from .utils import ( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, ) # Default\",\n \"( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, ) # Default repository prefix used for local\",\n \"check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") check.invariant( dagster_version == current_dagster_version, desc=\\\"Current dagster version ({}) does\",\n \"os.path.join(os.path.dirname(__file__), \\\"images\\\") @contextlib.contextmanager def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\\\"_DagsterDockerImage\\\", \\\"image build_cm path\\\")): \\\"\\\"\\\"Represents a\",\n \"= \\\"dagster\\\" # Location of the template assets used here IMAGES_PATH = os.path.join(os.path.dirname(__file__),\",\n \"does not match provided arg ({})\\\".format( current_dagster_version, dagster_version ), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp,\",\n \"last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) else: tag = custom_tag return ecr_image(\",\n \"import ( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, ) # Default repository prefix used for\",\n \"docker_args[\\\"BASE_IMAGE\\\"] = base_image.local_image(python_version) else: raise Exception(\\\"Unrecognized source {}\\\".format(source)) # Set Dagster version docker_args[\\\"DAGSTER_VERSION\\\"]\",\n \"\\\"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\\\" \\\"\\\"\\\" check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version, \\\"python_version\\\") check.opt_str_param(custom_tag, \\\"custom_tag\\\") if python_version: last_updated\",\n \"open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"r\\\") as f: last_updated = yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp,\",\n \"build(self, timestamp, dagster_version, python_version): check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") check.invariant( dagster_version == current_dagster_version, desc=\\\"Current\",\n \"return \\\"{}/{}:{}\\\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self, python_version=None, custom_tag=None): \\\"\\\"\\\"Generates the AWS ECR image\",\n \"import os from collections import namedtuple import yaml from dagster import __version__ as\",\n \"{}) if \\\"base_image\\\" in image_info: check.invariant( \\\"BASE_IMAGE\\\" not in docker_args, \\\"Cannot override an\",\n \"image to use as a base image. If defined, set the BASE_IMAGE Docker\",\n \"\\\"aws\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.aws_image(python_version) elif source == \\\"local\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.local_image(python_version) else: raise\",\n \"\\\"image\\\"), check.callable_param(build_cm, \\\"build_cm\\\"), check.opt_str_param( path, \\\"path\\\", default=os.path.join(os.path.dirname(__file__), \\\"images\\\", image) ), ) @property def\",\n \"DEFAULT_LOCAL_PREFIX = \\\"dagster\\\" # Location of the template assets used here IMAGES_PATH =\",\n \"python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) else: tag = custom_tag return\",\n \"like: \\\"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\\\" \\\"\\\"\\\" check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version, \\\"python_version\\\") check.opt_str_param(custom_tag, \\\"custom_tag\\\") if python_version:\",\n \"of this image.\\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"r\\\") as f: last_updated =\",\n \"def _set_last_updated_for_python_version(self, timestamp, python_version): \\\"\\\"\\\"Update the last_updated timestamp for a particular python_version of\",\n \"path. Defaults to docker/images/<IMAGE NAME> \\\"\\\"\\\" def __new__(cls, image, build_cm=do_nothing, path=None): return super(DagsterDockerImage,\",\n \"open(last_updated_path, \\\"r\\\") as f: last_updated = yaml.safe_load(f.read()) last_updated[python_version] = timestamp with open(os.path.join(self.path, \\\"last_updated.yaml\\\"),\",\n \"docker_args[\\\"DAGSTER_VERSION\\\"] = current_dagster_version return docker_args def build(self, timestamp, dagster_version, python_version): check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version,\",\n \") base_image = DagsterDockerImage(image_info[\\\"base_image\\\"][\\\"name\\\"]) source = image_info[\\\"base_image\\\"][\\\"source\\\"] if source == \\\"aws\\\": docker_args[\\\"BASE_IMAGE\\\"] =\",\n \"versions = yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args = image_info.get(\\\"docker_args\\\", {}) if \\\"base_image\\\"\",\n \"check.invariant( dagster_version == current_dagster_version, desc=\\\"Current dagster version ({}) does not match provided arg\",\n \"collections import namedtuple import yaml from dagster import __version__ as current_dagster_version from dagster\",\n \"versions supported for this image.\\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f: versions =\",\n \"\\\"r\\\") as f: last_updated = yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version): \\\"\\\"\\\"Update\",\n \"this image to ECR.\\\"\\\"\\\" if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None, custom_tag=custom_tag), ) execute_docker_push(self.aws_image(python_version=None, custom_tag=custom_tag))\",\n \"dagster import __version__ as current_dagster_version from dagster import check from .ecr import ecr_image,\",\n \"os.path.exists(last_updated_path): with open(last_updated_path, \\\"r\\\") as f: last_updated = yaml.safe_load(f.read()) last_updated[python_version] = timestamp with\",\n \"last_updated_path = os.path.join(self.path, \\\"last_updated.yaml\\\") if os.path.exists(last_updated_path): with open(last_updated_path, \\\"r\\\") as f: last_updated =\",\n \"get_aws_region from .utils import ( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, ) # Default repository\",\n \"\\\"w\\\") as f: yaml.dump(last_updated, f, default_flow_style=False) def local_image(self, python_version): \\\"\\\"\\\"Generates the local image\",\n \"== \\\"local\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.local_image(python_version) else: raise Exception(\\\"Unrecognized source {}\\\".format(source)) # Set Dagster\",\n \"docker_args[\\\"BASE_IMAGE\\\"] = base_image.aws_image(python_version) elif source == \\\"local\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.local_image(python_version) else: raise Exception(\\\"Unrecognized\",\n \"\\\"python_version\\\") with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"r\\\") as f: last_updated = yaml.safe_load(f.read()) return last_updated[python_version] def\",\n \"check.str_param(python_version, \\\"python_version\\\") check.invariant( dagster_version == current_dagster_version, desc=\\\"Current dagster version ({}) does not match\",\n \"contextlib import os from collections import namedtuple import yaml from dagster import __version__\",\n \"dagster version ({}) does not match provided arg ({})\\\".format( current_dagster_version, dagster_version ), )\",\n \"provided arg ({})\\\".format( current_dagster_version, dagster_version ), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version),\",\n \"that is a context manager for build (e.g. for populating a build cache)\",\n \"this image's versions.yaml, and update with latest Dagster version. Also, we allow references\",\n \"return docker_args def build(self, timestamp, dagster_version, python_version): check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") check.invariant( dagster_version\",\n \"for a particular python_version of this image.\\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"r\\\")\",\n \"# Location of the template assets used here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \\\"images\\\") @contextlib.contextmanager\",\n \"existing BASE_IMAGE\\\" ) base_image = DagsterDockerImage(image_info[\\\"base_image\\\"][\\\"name\\\"]) source = image_info[\\\"base_image\\\"][\\\"source\\\"] if source == \\\"aws\\\":\",\n \"\\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f: versions = yaml.safe_load(f.read()) image_info = versions.get(python_version,\",\n \"to the image's path. Defaults to docker/images/<IMAGE NAME> \\\"\\\"\\\" def __new__(cls, image, build_cm=do_nothing,\",\n \"Exception(\\\"Unrecognized source {}\\\".format(source)) # Set Dagster version docker_args[\\\"DAGSTER_VERSION\\\"] = current_dagster_version return docker_args def\",\n \"images DEFAULT_LOCAL_PREFIX = \\\"dagster\\\" # Location of the template assets used here IMAGES_PATH\",\n \"image name, like: \\\"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\\\" \\\"\\\"\\\" check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version, \\\"python_version\\\") check.opt_str_param(custom_tag, \\\"custom_tag\\\")\",\n \"yield class DagsterDockerImage(namedtuple(\\\"_DagsterDockerImage\\\", \\\"image build_cm path\\\")): \\\"\\\"\\\"Represents a Dagster image. Properties: image (str):\",\n \"last_updated = {} last_updated_path = os.path.join(self.path, \\\"last_updated.yaml\\\") if os.path.exists(last_updated_path): with open(last_updated_path, \\\"r\\\") as\",\n \"self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self, python_version, custom_tag=None): \\\"\\\"\\\"Push this\",\n \"execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, ) # Default repository prefix used for local images\",\n \"{}) docker_args = image_info.get(\\\"docker_args\\\", {}) if \\\"base_image\\\" in image_info: check.invariant( \\\"BASE_IMAGE\\\" not in\",\n \"another Dagster image to use as a base image. If defined, set the\",\n \"we allow references in the image versions.yaml to another Dagster image to use\",\n \"in image_info: check.invariant( \\\"BASE_IMAGE\\\" not in docker_args, \\\"Cannot override an existing BASE_IMAGE\\\" )\",\n \"used here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \\\"images\\\") @contextlib.contextmanager def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\\\"_DagsterDockerImage\\\", \\\"image\",\n \"= self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) return \\\"{}/{}:{}\\\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self, python_version=None,\",\n \"the image build_cm (function): function that is a context manager for build (e.g.\",\n \"a particular python_version of this image.\\\"\\\"\\\" check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") last_updated = {}\",\n \"import contextlib import os from collections import namedtuple import yaml from dagster import\",\n \"cache) path (Optional(str)): The path to the image's path. Defaults to docker/images/<IMAGE NAME>\",\n \"= base_image.aws_image(python_version) elif source == \\\"local\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.local_image(python_version) else: raise Exception(\\\"Unrecognized source\",\n \"an existing BASE_IMAGE\\\" ) base_image = DagsterDockerImage(image_info[\\\"base_image\\\"][\\\"name\\\"]) source = image_info[\\\"base_image\\\"][\\\"source\\\"] if source ==\",\n \"ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self, python_version): \\\"\\\"\\\"Retrieve Docker arguments from\",\n \"last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version): \\\"\\\"\\\"Update the last_updated timestamp for a particular python_version\",\n \"def python_versions(self): \\\"\\\"\\\"List of Python versions supported for this image.\\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"),\",\n \"class DagsterDockerImage(namedtuple(\\\"_DagsterDockerImage\\\", \\\"image build_cm path\\\")): \\\"\\\"\\\"Represents a Dagster image. Properties: image (str): Name\",\n \"\\\"\\\"\\\"Update the last_updated timestamp for a particular python_version of this image.\\\"\\\"\\\" check.str_param(timestamp, \\\"timestamp\\\")\",\n \"timestamp, dagster_version, python_version): check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") check.invariant( dagster_version == current_dagster_version, desc=\\\"Current dagster\",\n \"check.invariant( \\\"BASE_IMAGE\\\" not in docker_args, \\\"Cannot override an existing BASE_IMAGE\\\" ) base_image =\",\n \"\\\"python_version\\\") check.invariant( dagster_version == current_dagster_version, desc=\\\"Current dagster version ({}) does not match provided\",\n \"__version__ as current_dagster_version from dagster import check from .ecr import ecr_image, get_aws_account_id, get_aws_region\",\n \"\\\"python_version\\\") last_updated = {} last_updated_path = os.path.join(self.path, \\\"last_updated.yaml\\\") if os.path.exists(last_updated_path): with open(last_updated_path, \\\"r\\\")\",\n \"= DagsterDockerImage(image_info[\\\"base_image\\\"][\\\"name\\\"]) source = image_info[\\\"base_image\\\"][\\\"source\\\"] if source == \\\"aws\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.aws_image(python_version) elif\",\n \"check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") last_updated = {} last_updated_path = os.path.join(self.path, \\\"last_updated.yaml\\\") if os.path.exists(last_updated_path):\",\n \"match provided arg ({})\\\".format( current_dagster_version, dagster_version ), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build(\",\n \"= yaml.safe_load(f.read()) last_updated[python_version] = timestamp with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"w\\\") as f: yaml.dump(last_updated, f,\",\n \"used for local images DEFAULT_LOCAL_PREFIX = \\\"dagster\\\" # Location of the template assets\",\n \"last_updated = yaml.safe_load(f.read()) last_updated[python_version] = timestamp with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"w\\\") as f: yaml.dump(last_updated,\",\n \"image. \\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f: versions = yaml.safe_load(f.read()) image_info =\",\n \"\\\"\\\"\\\"Generates the AWS ECR image name, like: \\\"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\\\" \\\"\\\"\\\" check.invariant(not (python_version and custom_tag))\",\n \"with open(last_updated_path, \\\"r\\\") as f: last_updated = yaml.safe_load(f.read()) last_updated[python_version] = timestamp with open(os.path.join(self.path,\",\n \"path=None): return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \\\"image\\\"), check.callable_param(build_cm, \\\"build_cm\\\"), check.opt_str_param( path, \\\"path\\\", default=os.path.join(os.path.dirname(__file__),\",\n \"base_image.local_image(python_version) else: raise Exception(\\\"Unrecognized source {}\\\".format(source)) # Set Dagster version docker_args[\\\"DAGSTER_VERSION\\\"] = current_dagster_version\",\n \"build (e.g. for populating a build cache) path (Optional(str)): The path to the\",\n \"\\\"\\\"\\\" check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version, \\\"python_version\\\") check.opt_str_param(custom_tag, \\\"custom_tag\\\") if python_version: last_updated =\",\n \"timestamp, python_version): \\\"\\\"\\\"Update the last_updated timestamp for a particular python_version of this image.\\\"\\\"\\\"\",\n \"particular python_version of this image.\\\"\\\"\\\" check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") last_updated = {} last_updated_path\",\n \"image_info[\\\"base_image\\\"][\\\"source\\\"] if source == \\\"aws\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.aws_image(python_version) elif source == \\\"local\\\": docker_args[\\\"BASE_IMAGE\\\"]\",\n \"import yaml from dagster import __version__ as current_dagster_version from dagster import check from\",\n \"= custom_tag return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self, python_version): \\\"\\\"\\\"Retrieve\",\n \"tag = custom_tag return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self, python_version):\",\n \"f: versions = yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args = image_info.get(\\\"docker_args\\\", {}) if\",\n \"for a particular python_version of this image.\\\"\\\"\\\" check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") last_updated =\",\n \"execute_docker_push, execute_docker_tag, python_version_image_tag, ) # Default repository prefix used for local images DEFAULT_LOCAL_PREFIX\",\n \"_set_last_updated_for_python_version(self, timestamp, python_version): \\\"\\\"\\\"Update the last_updated timestamp for a particular python_version of this\",\n \"self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) return \\\"{}/{}:{}\\\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self, python_version=None, custom_tag=None):\",\n \"a Dagster image. Properties: image (str): Name of the image build_cm (function): function\",\n \"open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f: versions = yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version):\",\n \"a particular python_version of this image.\\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"r\\\") as\",\n \"with latest Dagster version. Also, we allow references in the image versions.yaml to\",\n \"), ) @property def python_versions(self): \\\"\\\"\\\"List of Python versions supported for this image.\\\"\\\"\\\"\",\n \"f: versions = yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \\\"\\\"\\\"Retrieve the last_updated timestamp\",\n \"The path to the image's path. Defaults to docker/images/<IMAGE NAME> \\\"\\\"\\\" def __new__(cls,\",\n \"with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f: versions = yaml.safe_load(f.read()) image_info = versions.get(python_version, {})\",\n \"def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\\\"_DagsterDockerImage\\\", \\\"image build_cm path\\\")): \\\"\\\"\\\"Represents a Dagster image. Properties:\",\n \"Python versions supported for this image.\\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f: versions\",\n \"else: tag = custom_tag return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self,\",\n \"def __new__(cls, image, build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \\\"image\\\"), check.callable_param(build_cm, \\\"build_cm\\\"),\",\n \"Set Dagster version docker_args[\\\"DAGSTER_VERSION\\\"] = current_dagster_version return docker_args def build(self, timestamp, dagster_version, python_version):\",\n \"if \\\"base_image\\\" in image_info: check.invariant( \\\"BASE_IMAGE\\\" not in docker_args, \\\"Cannot override an existing\",\n \"for populating a build cache) path (Optional(str)): The path to the image's path.\",\n \"timestamp for a particular python_version of this image.\\\"\\\"\\\" check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") last_updated\",\n \"= os.path.join(self.path, \\\"last_updated.yaml\\\") if os.path.exists(last_updated_path): with open(last_updated_path, \\\"r\\\") as f: last_updated = yaml.safe_load(f.read())\",\n \"particular python_version of this image.\\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"r\\\") as f:\",\n \"\\\"python_version\\\") last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) return \\\"{}/{}:{}\\\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def\",\n \"the template assets used here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \\\"images\\\") @contextlib.contextmanager def do_nothing(_cwd): yield\",\n \"f: last_updated = yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version): \\\"\\\"\\\"Update the last_updated\",\n \"dagster import check from .ecr import ecr_image, get_aws_account_id, get_aws_region from .utils import (\",\n \"python_version=None, custom_tag=None): \\\"\\\"\\\"Generates the AWS ECR image name, like: \\\"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\\\" \\\"\\\"\\\" check.invariant(not (python_version\",\n \"cls, check.str_param(image, \\\"image\\\"), check.callable_param(build_cm, \\\"build_cm\\\"), check.opt_str_param( path, \\\"path\\\", default=os.path.join(os.path.dirname(__file__), \\\"images\\\", image) ), )\",\n \"default_flow_style=False) def local_image(self, python_version): \\\"\\\"\\\"Generates the local image name, like: \\\"dagster/foo:some-tag\\\" \\\"\\\"\\\" check.str_param(python_version,\",\n \"yaml.dump(last_updated, f, default_flow_style=False) def local_image(self, python_version): \\\"\\\"\\\"Generates the local image name, like: \\\"dagster/foo:some-tag\\\"\",\n \"as current_dagster_version from dagster import check from .ecr import ecr_image, get_aws_account_id, get_aws_region from\",\n \"= python_version_image_tag(python_version, last_updated) else: tag = custom_tag return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(),\",\n \"in the image versions.yaml to another Dagster image to use as a base\",\n \"the parent image. \\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f: versions = yaml.safe_load(f.read())\",\n \"check from .ecr import ecr_image, get_aws_account_id, get_aws_region from .utils import ( execute_docker_build, execute_docker_push,\",\n \"aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self, python_version): \\\"\\\"\\\"Retrieve Docker arguments from this image's versions.yaml,\",\n \"tag = python_version_image_tag(python_version, last_updated) return \\\"{}/{}:{}\\\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self, python_version=None, custom_tag=None): \\\"\\\"\\\"Generates\",\n \"context manager for build (e.g. for populating a build cache) path (Optional(str)): The\",\n \"\\\"images\\\", image) ), ) @property def python_versions(self): \\\"\\\"\\\"List of Python versions supported for\",\n \"Dagster image. Properties: image (str): Name of the image build_cm (function): function that\",\n \"image.\\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"r\\\") as f: last_updated = yaml.safe_load(f.read()) return\",\n \"a build cache) path (Optional(str)): The path to the image's path. Defaults to\",\n \"(Optional(str)): The path to the image's path. Defaults to docker/images/<IMAGE NAME> \\\"\\\"\\\" def\",\n \"custom_tag=None): \\\"\\\"\\\"Push this image to ECR.\\\"\\\"\\\" if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None, custom_tag=custom_tag), )\",\n \"build cache) path (Optional(str)): The path to the image's path. Defaults to docker/images/<IMAGE\",\n \"path to the image's path. Defaults to docker/images/<IMAGE NAME> \\\"\\\"\\\" def __new__(cls, image,\",\n \"NAME> \\\"\\\"\\\" def __new__(cls, image, build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \\\"image\\\"),\",\n \"check.str_param(python_version, \\\"python_version\\\") last_updated = {} last_updated_path = os.path.join(self.path, \\\"last_updated.yaml\\\") if os.path.exists(last_updated_path): with open(last_updated_path,\",\n \"the AWS ECR image name, like: \\\"1234567890.dkr.ecr.us-west-1.amazonaws.com/foo:some-tag\\\" \\\"\\\"\\\" check.invariant(not (python_version and custom_tag)) check.opt_str_param(python_version,\",\n \"use as a base image. If defined, set the BASE_IMAGE Docker arg from\",\n \"If defined, set the BASE_IMAGE Docker arg from the full name of the\",\n \"update with latest Dagster version. Also, we allow references in the image versions.yaml\",\n \"self.image, tag) def aws_image(self, python_version=None, custom_tag=None): \\\"\\\"\\\"Generates the AWS ECR image name, like:\",\n \"def _get_last_updated_for_python_version(self, python_version): \\\"\\\"\\\"Retrieve the last_updated timestamp for a particular python_version of this\",\n \"to ECR.\\\"\\\"\\\" if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None, custom_tag=custom_tag), ) execute_docker_push(self.aws_image(python_version=None, custom_tag=custom_tag)) else: execute_docker_tag(self.local_image(python_version),\",\n \"image_info = versions.get(python_version, {}) docker_args = image_info.get(\\\"docker_args\\\", {}) if \\\"base_image\\\" in image_info: check.invariant(\",\n \"image.\\\"\\\"\\\" check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") last_updated = {} last_updated_path = os.path.join(self.path, \\\"last_updated.yaml\\\") if\",\n \"# Set Dagster version docker_args[\\\"DAGSTER_VERSION\\\"] = current_dagster_version return docker_args def build(self, timestamp, dagster_version,\",\n \"Properties: image (str): Name of the image build_cm (function): function that is a\",\n \"\\\"custom_tag\\\") if python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) else: tag =\",\n \"image. Properties: image (str): Name of the image build_cm (function): function that is\",\n \"assets used here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \\\"images\\\") @contextlib.contextmanager def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\\\"_DagsterDockerImage\\\",\",\n \"version. Also, we allow references in the image versions.yaml to another Dagster image\",\n \"({}) does not match provided arg ({})\\\".format( current_dagster_version, dagster_version ), ) with self.build_cm(self.path):\",\n \"versions.yaml to another Dagster image to use as a base image. If defined,\",\n \"def build(self, timestamp, dagster_version, python_version): check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") check.invariant( dagster_version == current_dagster_version,\",\n \"@contextlib.contextmanager def do_nothing(_cwd): yield class DagsterDockerImage(namedtuple(\\\"_DagsterDockerImage\\\", \\\"image build_cm path\\\")): \\\"\\\"\\\"Represents a Dagster image.\",\n \"with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f: versions = yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self,\",\n \"custom_tag)) check.opt_str_param(python_version, \\\"python_version\\\") check.opt_str_param(custom_tag, \\\"custom_tag\\\") if python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version,\",\n \"return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \\\"image\\\"), check.callable_param(build_cm, \\\"build_cm\\\"), check.opt_str_param( path, \\\"path\\\", default=os.path.join(os.path.dirname(__file__), \\\"images\\\",\",\n \"check.str_param(python_version, \\\"python_version\\\") with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"r\\\") as f: last_updated = yaml.safe_load(f.read()) return last_updated[python_version]\",\n \"yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \\\"\\\"\\\"Retrieve the last_updated timestamp for a particular\",\n \"cwd=self.path, ) def push(self, python_version, custom_tag=None): \\\"\\\"\\\"Push this image to ECR.\\\"\\\"\\\" if custom_tag:\",\n \"python_version_image_tag(python_version, last_updated) else: tag = custom_tag return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), )\",\n \"\\\"\\\"\\\"Retrieve Docker arguments from this image's versions.yaml, and update with latest Dagster version.\",\n \"from collections import namedtuple import yaml from dagster import __version__ as current_dagster_version from\",\n \"__new__(cls, image, build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__( cls, check.str_param(image, \\\"image\\\"), check.callable_param(build_cm, \\\"build_cm\\\"), check.opt_str_param(\",\n \"the BASE_IMAGE Docker arg from the full name of the parent image. \\\"\\\"\\\"\",\n \"image. If defined, set the BASE_IMAGE Docker arg from the full name of\",\n \"(e.g. for populating a build cache) path (Optional(str)): The path to the image's\",\n \"current_dagster_version, dagster_version ), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, )\",\n \"= base_image.local_image(python_version) else: raise Exception(\\\"Unrecognized source {}\\\".format(source)) # Set Dagster version docker_args[\\\"DAGSTER_VERSION\\\"] =\",\n \"python_versions(self): \\\"\\\"\\\"List of Python versions supported for this image.\\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\")\",\n \"python_version of this image.\\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"r\\\") as f: last_updated\",\n \"desc=\\\"Current dagster version ({}) does not match provided arg ({})\\\".format( current_dagster_version, dagster_version ),\",\n \"default=os.path.join(os.path.dirname(__file__), \\\"images\\\", image) ), ) @property def python_versions(self): \\\"\\\"\\\"List of Python versions supported\",\n \"image_info.get(\\\"docker_args\\\", {}) if \\\"base_image\\\" in image_info: check.invariant( \\\"BASE_IMAGE\\\" not in docker_args, \\\"Cannot override\",\n \"DagsterDockerImage(namedtuple(\\\"_DagsterDockerImage\\\", \\\"image build_cm path\\\")): \\\"\\\"\\\"Represents a Dagster image. Properties: image (str): Name of\",\n \"image's path. Defaults to docker/images/<IMAGE NAME> \\\"\\\"\\\" def __new__(cls, image, build_cm=do_nothing, path=None): return\",\n \"of the template assets used here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \\\"images\\\") @contextlib.contextmanager def do_nothing(_cwd):\",\n \"def local_image(self, python_version): \\\"\\\"\\\"Generates the local image name, like: \\\"dagster/foo:some-tag\\\" \\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\")\",\n \"and custom_tag)) check.opt_str_param(python_version, \\\"python_version\\\") check.opt_str_param(custom_tag, \\\"custom_tag\\\") if python_version: last_updated = self._get_last_updated_for_python_version(python_version) tag =\",\n \"def _get_docker_args(self, python_version): \\\"\\\"\\\"Retrieve Docker arguments from this image's versions.yaml, and update with\",\n \"\\\"dagster\\\" # Location of the template assets used here IMAGES_PATH = os.path.join(os.path.dirname(__file__), \\\"images\\\")\",\n \"local image name, like: \\\"dagster/foo:some-tag\\\" \\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") last_updated = self._get_last_updated_for_python_version(python_version) tag =\",\n \"current_dagster_version from dagster import check from .ecr import ecr_image, get_aws_account_id, get_aws_region from .utils\",\n \"custom_tag return ecr_image( self.image, tag, aws_account_id=get_aws_account_id(), aws_region=get_aws_region(), ) def _get_docker_args(self, python_version): \\\"\\\"\\\"Retrieve Docker\",\n \"for local images DEFAULT_LOCAL_PREFIX = \\\"dagster\\\" # Location of the template assets used\",\n \"if source == \\\"aws\\\": docker_args[\\\"BASE_IMAGE\\\"] = base_image.aws_image(python_version) elif source == \\\"local\\\": docker_args[\\\"BASE_IMAGE\\\"] =\",\n \"full name of the parent image. \\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f:\",\n \"docker_args = image_info.get(\\\"docker_args\\\", {}) if \\\"base_image\\\" in image_info: check.invariant( \\\"BASE_IMAGE\\\" not in docker_args,\",\n \"image) ), ) @property def python_versions(self): \\\"\\\"\\\"List of Python versions supported for this\",\n \"_get_last_updated_for_python_version(self, python_version): \\\"\\\"\\\"Retrieve the last_updated timestamp for a particular python_version of this image.\\\"\\\"\\\"\",\n \"self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def push(self, python_version, custom_tag=None): \\\"\\\"\\\"Push\",\n \"of the parent image. \\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f: versions =\",\n \"the image versions.yaml to another Dagster image to use as a base image.\",\n \"from .ecr import ecr_image, get_aws_account_id, get_aws_region from .utils import ( execute_docker_build, execute_docker_push, execute_docker_tag,\",\n \"Docker arg from the full name of the parent image. \\\"\\\"\\\" with open(os.path.join(self.path,\",\n \"dagster_version, python_version): check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") check.invariant( dagster_version == current_dagster_version, desc=\\\"Current dagster version\",\n \"versions.yaml, and update with latest Dagster version. Also, we allow references in the\",\n \"not match provided arg ({})\\\".format( current_dagster_version, dagster_version ), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version)\",\n \"\\\"\\\"\\\"Represents a Dagster image. Properties: image (str): Name of the image build_cm (function):\",\n \"f: yaml.dump(last_updated, f, default_flow_style=False) def local_image(self, python_version): \\\"\\\"\\\"Generates the local image name, like:\",\n \"latest Dagster version. Also, we allow references in the image versions.yaml to another\",\n \"\\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") check.invariant( dagster_version == current_dagster_version, desc=\\\"Current dagster version ({}) does not\",\n \"allow references in the image versions.yaml to another Dagster image to use as\",\n \"\\\"r\\\") as f: versions = yaml.safe_load(f.read()) return list(versions.keys()) def _get_last_updated_for_python_version(self, python_version): \\\"\\\"\\\"Retrieve the\",\n \"{} last_updated_path = os.path.join(self.path, \\\"last_updated.yaml\\\") if os.path.exists(last_updated_path): with open(last_updated_path, \\\"r\\\") as f: last_updated\",\n \"last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) return \\\"{}/{}:{}\\\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self,\",\n \"cls).__new__( cls, check.str_param(image, \\\"image\\\"), check.callable_param(build_cm, \\\"build_cm\\\"), check.opt_str_param( path, \\\"path\\\", default=os.path.join(os.path.dirname(__file__), \\\"images\\\", image) ),\",\n \"path (Optional(str)): The path to the image's path. Defaults to docker/images/<IMAGE NAME> \\\"\\\"\\\"\",\n \"of Python versions supported for this image.\\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f:\",\n \"build_cm path\\\")): \\\"\\\"\\\"Represents a Dagster image. Properties: image (str): Name of the image\",\n \"image.\\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f: versions = yaml.safe_load(f.read()) return list(versions.keys()) def\",\n \"to docker/images/<IMAGE NAME> \\\"\\\"\\\" def __new__(cls, image, build_cm=do_nothing, path=None): return super(DagsterDockerImage, cls).__new__( cls,\",\n \"import ecr_image, get_aws_account_id, get_aws_region from .utils import ( execute_docker_build, execute_docker_push, execute_docker_tag, python_version_image_tag, )\",\n \"python_version of this image.\\\"\\\"\\\" check.str_param(timestamp, \\\"timestamp\\\") check.str_param(python_version, \\\"python_version\\\") last_updated = {} last_updated_path =\",\n \"and update with latest Dagster version. Also, we allow references in the image\",\n \"as a base image. If defined, set the BASE_IMAGE Docker arg from the\",\n \"= self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) else: tag = custom_tag return ecr_image( self.image,\",\n \"@property def python_versions(self): \\\"\\\"\\\"List of Python versions supported for this image.\\\"\\\"\\\" with open(os.path.join(self.path,\",\n \"populating a build cache) path (Optional(str)): The path to the image's path. Defaults\",\n \"\\\"BASE_IMAGE\\\" not in docker_args, \\\"Cannot override an existing BASE_IMAGE\\\" ) base_image = DagsterDockerImage(image_info[\\\"base_image\\\"][\\\"name\\\"])\",\n \"from the full name of the parent image. \\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\")\",\n \"else: raise Exception(\\\"Unrecognized source {}\\\".format(source)) # Set Dagster version docker_args[\\\"DAGSTER_VERSION\\\"] = current_dagster_version return\",\n \"dagster_version ), ) with self.build_cm(self.path): self._set_last_updated_for_python_version(timestamp, python_version) execute_docker_build( self.local_image(python_version), docker_args=self._get_docker_args(python_version), cwd=self.path, ) def\",\n \"os from collections import namedtuple import yaml from dagster import __version__ as current_dagster_version\",\n \"image build_cm (function): function that is a context manager for build (e.g. for\",\n \"image's versions.yaml, and update with latest Dagster version. Also, we allow references in\",\n \"as f: last_updated = yaml.safe_load(f.read()) last_updated[python_version] = timestamp with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"w\\\") as\",\n \"last_updated = yaml.safe_load(f.read()) return last_updated[python_version] def _set_last_updated_for_python_version(self, timestamp, python_version): \\\"\\\"\\\"Update the last_updated timestamp\",\n \"yaml.safe_load(f.read()) last_updated[python_version] = timestamp with open(os.path.join(self.path, \\\"last_updated.yaml\\\"), \\\"w\\\") as f: yaml.dump(last_updated, f, default_flow_style=False)\",\n \"for this image.\\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f: versions = yaml.safe_load(f.read()) return\",\n \"python_version): \\\"\\\"\\\"Update the last_updated timestamp for a particular python_version of this image.\\\"\\\"\\\" check.str_param(timestamp,\",\n \"local_image(self, python_version): \\\"\\\"\\\"Generates the local image name, like: \\\"dagster/foo:some-tag\\\" \\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") last_updated\",\n \"\\\"\\\"\\\" check.str_param(python_version, \\\"python_version\\\") last_updated = self._get_last_updated_for_python_version(python_version) tag = python_version_image_tag(python_version, last_updated) return \\\"{}/{}:{}\\\".format(DEFAULT_LOCAL_PREFIX, self.image,\",\n \"arguments from this image's versions.yaml, and update with latest Dagster version. Also, we\",\n \"image to ECR.\\\"\\\"\\\" if custom_tag: execute_docker_tag( self.local_image(python_version), self.aws_image(python_version=None, custom_tag=custom_tag), ) execute_docker_push(self.aws_image(python_version=None, custom_tag=custom_tag)) else:\",\n \") @property def python_versions(self): \\\"\\\"\\\"List of Python versions supported for this image.\\\"\\\"\\\" with\",\n \"= image_info.get(\\\"docker_args\\\", {}) if \\\"base_image\\\" in image_info: check.invariant( \\\"BASE_IMAGE\\\" not in docker_args, \\\"Cannot\",\n \"Name of the image build_cm (function): function that is a context manager for\",\n \"parent image. \\\"\\\"\\\" with open(os.path.join(self.path, \\\"versions.yaml\\\"), \\\"r\\\") as f: versions = yaml.safe_load(f.read()) image_info\",\n \"import check from .ecr import ecr_image, get_aws_account_id, get_aws_region from .utils import ( execute_docker_build,\",\n \"local images DEFAULT_LOCAL_PREFIX = \\\"dagster\\\" # Location of the template assets used here\",\n \"path\\\")): \\\"\\\"\\\"Represents a Dagster image. Properties: image (str): Name of the image build_cm\",\n \"docker_args, \\\"Cannot override an existing BASE_IMAGE\\\" ) base_image = DagsterDockerImage(image_info[\\\"base_image\\\"][\\\"name\\\"]) source = image_info[\\\"base_image\\\"][\\\"source\\\"]\",\n \"python_version_image_tag(python_version, last_updated) return \\\"{}/{}:{}\\\".format(DEFAULT_LOCAL_PREFIX, self.image, tag) def aws_image(self, python_version=None, custom_tag=None): \\\"\\\"\\\"Generates the AWS\"\n]","isConversational":false}}},{"rowIdx":1999,"cells":{"ngram":{"kind":"list like","value":["lang == 'es' and region == 'es': return 'es-419' if lang == 'zh':","import cros_interface from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy()","self._is_guest = options.browser_type == 'cros-chrome-guest' self._username = '' if self._is_guest else options.browser_options.username self._password","= ''' // Check that the option is present, and selected if it","\"\"\"Tests autotestPrivate.screenLock\"\"\" with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \"\"\"Tests autotestPrivate.logout\"\"\"","an existing locale. See ui/base/l10n/l10n_util.cc. lang, _, region = map(str.lower, locale.partition('-')) if not","def __getattr__(self, name): if name in self: return name raise AttributeError KeyboardMechanicalLayout =","' 'Canadian French SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)',","options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type == 'cros-chrome-guest' self._username = ''","is the default. (function hasOption(selectId, value, isDefault) { var options = document.getElementById(selectId).options; for","'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US keyboard)',","see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French keyboard)', ('Canadian French (ISO)","'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam',","% (selectId, value, 'true')) def _ResolveLanguage(self, locale): # If the locale matches a","for all of Canada. See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada","'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified SKU for","'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST = [ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'),","lists have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\"language-select\") != null'), 10) # Find the","French SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada with","layout, but starts with US English language ' 'for neutrality. Use if there","for (var i = 0; i < options.length; i++) { if (options[i].value ==","keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French keyboard)', ('Canadian French","the lock screen') def ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\"typeof Oobe == 'function'\") and","and self._OobeHasOption(browser, 'language-select', fallback)) # Find the keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard))","browser: # Ensure the dropdown lists have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\"language-select\") !=","def testLogout(self): \"\"\"Tests autotestPrivate.logout\"\"\" with self._CreateBrowser(autotest_ext=True) as b: extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();')","http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French keyboard)', ('Canadian French (ISO) keyboard.","os import unittest from telemetry.core import browser_finder from telemetry.core import exceptions from telemetry.core","def _GetAutotestExtension(self, browser): \"\"\"Returns the autotest extension instance\"\"\" extension = browser.extensions[self._load_extension] self.assertTrue(extension) return","import extension_to_load from telemetry.core import util from telemetry.core.backends.chrome import cros_interface from telemetry.unittest import","def _IsCryptohomeMounted(self): \"\"\"Returns True if cryptohome is mounted\"\"\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status'])","null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s; }); ''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10)","extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop',","options.browser_type == 'cros-chrome-guest' self._username = '' if self._is_guest else options.browser_options.username self._password = options.browser_options.password","(requires RW-enabled firmware). # To save time, region and initial_timezone are not set.","self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad password') def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript('''","''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \"\"\"Verifies cryptohome mount status for","to a localized country if lang == 'es' and region == 'es': return","status for regular and guest user and when logged out\"\"\" with self._CreateBrowser() as","self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description = description or region_code self.notes = notes class Enum(frozenset):","self._username = '' if self._is_guest else options.browser_options.username self._password = options.browser_options.password def _IsCryptohomeMounted(self): \"\"\"Returns","this source code is governed by a BSD-style license that can be #","locale info and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start',","options = options_for_unittests.GetCopy() if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path,","def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' %","matches a language but not the country, fall back to # an existing","== 'cros-chrome-guest' self._username = '' if self._is_guest else options.browser_options.username self._password = options.browser_options.password def","and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True): \"\"\"Finds and creates a browser for tests.","browser_to_create.Create() b.Start() return b def _GetAutotestExtension(self, browser): \"\"\"Returns the autotest extension instance\"\"\" extension","Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US keyboard)', 'Canada with US (ANSI) keyboard;","xkb:ca::fra keyboard (ISO), ' 'defaulting to English language and keyboard. Used only if","Save the original device localization settings. # To save time, only read initial_locale","' 'defaulting to English language and keyboard. Used only if there ' 'needs","keyboard; you probably don't want this. See \" \"http://goto/cros-canada\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de',","loads the autotest extension\"\"\" options = options_for_unittests.GetCopy() if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext')","self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser, selectId, value): hasOptionJs = ''' // Check that","SKU for all of Canada. See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO,","'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create = browser_finder.FindBrowser(options)","in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser: # Ensure the dropdown lists have","single SKU for all of Canada. See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA',","to # an existing locale. See ui/base/l10n/l10n_util.cc. lang, _, region = map(str.lower, locale.partition('-'))","See ui/base/l10n/l10n_util.cc. lang, _, region = map(str.lower, locale.partition('-')) if not region: return \"\"","_GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof('chrome.autotestPrivate') != 'undefined'\")) extension.ExecuteJavaScript(''' window.__login_status = null;","'keyboard-select', region.keyboard)) # Test is finished. Restore original region settings. self._SwitchRegion(initial_region) # The","browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \"\"\"Tests autotestPrivate.logout\"\"\" with self._CreateBrowser(autotest_ext=True) as b: extension","'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris',","setUp(self): options = options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type == 'cros-chrome-guest'","browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser))","'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s',","and initial_timezone are not set. vpd = {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for (key,","else options.browser_options.username self._password = options.browser_options.password def _IsCryptohomeMounted(self): \"\"\"Returns True if cryptohome is mounted\"\"\"","to clear initial locale info and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed'])","try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region):","'ui']) def _OobeHasOption(self, browser, selectId, value): hasOptionJs = ''' // Check that the","s; }); ''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \"\"\"Verifies cryptohome mount","!= 'undefined'\")) extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s; }); ''')","fall back to # an existing locale. See ui/base/l10n/l10n_util.cc. lang, _, region =","initial locale info and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force'])","Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie',","(French keyboard)', ('Canadian French (ISO) keyboard. The most common configuration for ' 'Canadian","_ResolveLanguage(self, locale): # If the locale matches a language but not the country,","at OOBE\"\"\" # Save the original device localization settings. # To save time,","localization settings. # To save time, only read initial_locale and keyboard_layout. initial_region =","= keyboard self.time_zone = time_zone self.language_code = language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description =","} return false; })(\"%s\", \"%s\", %s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value,","= {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for (key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\"%s\"=\"%s\"'","keyboard self.time_zone = time_zone self.language_code = language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description = description","the locale matches a language but not the country, fall back to #","'en-US' # No mapping found return \"\" def testOobeLocalization(self): \"\"\"Tests different region configurations","var options = document.getElementById(selectId).options; for (var i = 0; i < options.length; i++)","cryptohome is mounted\"\"\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts']","and selected if it is the default. (function hasOption(selectId, value, isDefault) { var","logging.info('Waiting for the lock screen') def ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\"typeof Oobe ==","chrome.autotestPrivate.lockScreen == 'function'\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock screen') def ScreenLocked():","The option is present. Make sure it's selected if necessary. return !isDefault ||","region = map(str.lower, locale.partition('-')) if not region: return \"\" # Map from other","available in regions.py. class Region(object): def __init__(self, region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None,","== 'function'\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock screen') def ScreenLocked(): return","the country, fall back to # an existing locale. See ui/base/l10n/l10n_util.cc. lang, _,","from telemetry.core import extension_to_load from telemetry.core import util from telemetry.core.backends.chrome import cros_interface from","it is the default. (function hasOption(selectId, value, isDefault) { var options = document.getElementById(selectId).options;","browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username, self._password)) util.WaitFor(lambda: not browser.oobe, 10)","browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof('chrome.autotestPrivate') != 'undefined'\")) extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s)","browser for tests. if autotest_ext is True, also loads the autotest extension\"\"\" options","= self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof('chrome.autotestPrivate') != 'undefined'\")) extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status","value, 'true')) def _ResolveLanguage(self, locale): # If the locale matches a language but","Find the keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) # Test is finished. Restore","def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username, self._password)) util.WaitFor(lambda: not","If the locale matches a language but not the country, fall back to","with self._CreateBrowser(autotest_ext=True) as b: extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass","'Canadian French SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada","logging.info('Trying a bad password') def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript('''","self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser):","region.language_code) if not languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback)) #","regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser,","country, fall back to # an existing locale. See ui/base/l10n/l10n_util.cc. lang, _, region","self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \"\"\"Tests autotestPrivate.logout\"\"\" with self._CreateBrowser(autotest_ext=True) as","locale. See ui/base/l10n/l10n_util.cc. lang, _, region = map(str.lower, locale.partition('-')) if not region: return","region in ('hk', 'mo'): return 'zh-TW' return 'zh-CN' if lang == 'en': if","login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser))","# No mapping found return \"\" def testOobeLocalization(self): \"\"\"Tests different region configurations at","region_code self.notes = notes class Enum(frozenset): def __getattr__(self, name): if name in self:","self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser, selectId, value): hasOptionJs = ''' //","i++) { if (options[i].value == value) { // The option is present. Make","with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \"\"\"Tests autotestPrivate.logout\"\"\" with self._CreateBrowser(autotest_ext=True)","regions.py. class Region(object): def __init__(self, region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code","= self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False,","self._CreateBrowser(autotest_ext=True) as b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest'])","= auto_login b = browser_to_create.Create() b.Start() return b def _GetAutotestExtension(self, browser): \"\"\"Returns the","back to # an existing locale. See ui/base/l10n/l10n_util.cc. lang, _, region = map(str.lower,","= KeyboardMechanicalLayout REGIONS_LIST = [ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng',","'fr-CA', _KML.ISO, 'Canada (multilingual)', (\"Canadian Multilingual keyboard; you probably don't want this. See","\"\"\"Tests autotestPrivate.loginStatus\"\"\" with self._CreateBrowser(autotest_ext=True) as b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest,","locale matches a language but not the country, fall back to # an","to English language and keyboard. Used only if there ' 'needs to be","with self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if","found return \"\" def testOobeLocalization(self): \"\"\"Tests different region configurations at OOBE\"\"\" # Save","Oobe.authenticateForTesting == 'function'\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad password')","description=None, notes=None): self.region_code = region_code self.keyboard = keyboard self.time_zone = time_zone self.language_code =","'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada with hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard","Swedish keyboard layout, but starts with US English language ' 'for neutrality. Use","extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof('chrome.autotestPrivate') != 'undefined'\")) extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) {","= self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def","unittest from telemetry.core import browser_finder from telemetry.core import exceptions from telemetry.core import extension_to_load","Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my',","# The Region class and region list will be available in regions.py. class","name): if name in self: return name raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO',","= browser_to_create.Create() b.Start() return b def _GetAutotestExtension(self, browser): \"\"\"Returns the autotest extension instance\"\"\"","region: return \"\" # Map from other countries to a localized country if","with US English language ' 'for neutrality. Use if there is a single","_ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self,","''' % self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s');","(key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\"%s\"=\"%s\"' % (key, value)]) # Remove cached","(options[i].value == value) { // The option is present. Make sure it's selected","initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd', '-g',","configuration for ' 'Canadian French SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO,","name raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST","'') initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd',","options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login = auto_login b = browser_to_create.Create() b.Start() return b def","document.getElementById(selectId).options; for (var i = 0; i < options.length; i++) { if (options[i].value","lock screen') def ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\"typeof Oobe == 'function'\") and browser.oobe.EvaluateJavaScript(","'nz', 'za'): return 'en-GB' return 'en-US' # No mapping found return \"\" def","_IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof","'/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser, selectId, value): hasOptionJs = '''","' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\"Use this if there separate","import os import unittest from telemetry.core import browser_finder from telemetry.core import exceptions from","region and initial_timezone are not set. vpd = {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for","self.assertTrue(extension) return extension def _GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof('chrome.autotestPrivate') != 'undefined'\"))","KeyboardMechanicalLayout REGIONS_LIST = [ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto',","necessary. return !isDefault || options.selectedIndex == i; } } return false; })(\"%s\", \"%s\",","20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD (requires RW-enabled firmware). #","_KML.ISO, 'Canada (multilingual)', (\"Canadian Multilingual keyboard; you probably don't want this. See \"","map(str.lower, locale.partition('-')) if not region: return \"\" # Map from other countries to","and keyboard_layout. initial_region = self.Region('', '', '', '', '') initial_region.language_code, _ = self._cri.RunCmdOnDevice(","# To save time, only read initial_locale and keyboard_layout. initial_region = self.Region('', '',","'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified SKU for Sweden,","and guest user and when logged out\"\"\" with self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs))","Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada with hybrid xkb:ca:eng:eng + xkb:ca::fra","fallback)) # Find the keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) # Test is","single combined SKU for Nordic ' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden',","True options.browser_options.auto_login = auto_login b = browser_to_create.Create() b.Start() return b def _GetAutotestExtension(self, browser):","is governed by a BSD-style license that can be # found in the","= self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof chrome.autotestPrivate.lockScreen == 'function'\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the","with US (ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French","home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self):","keyboard)', 'Canada with US (ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO,","import json import logging import os import unittest from telemetry.core import browser_finder from","initial_locale and keyboard_layout. initial_region = self.Region('', '', '', '', '') initial_region.language_code, _ =","region in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser: # Ensure the dropdown lists","(\"Canadian Multilingual keyboard; you probably don't want this. See \" \"http://goto/cros-canada\")), Region('de', 'xkb:de::ger',","'en-US', _KML.ISO, 'Nordics', ('Unified SKU for Sweden, Norway, and Denmark. This defaults '","' 'to Swedish keyboard layout, but starts with US English language ' 'for","i = 0; i < options.length; i++) { if (options[i].value == value) {","(self._username, self._password)) util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \"\"\"Tests autotestPrivate.screenLock\"\"\" with self._CreateBrowser(autotest_ext=True)","localized country if lang == 'es' and region == 'es': return 'es-419' if","import browser_finder from telemetry.core import exceptions from telemetry.core import extension_to_load from telemetry.core import","\"\"\"Returns True if cryptohome is mounted\"\"\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus =","US (ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French keyboard)',","Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French keyboard)', ('Canadian French (ISO) keyboard. The","Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr',","combined SKU for Nordic ' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\"Use","keyboard (ISO), ' 'defaulting to English language and keyboard. Used only if there","_KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI,","('Unified SKU for Sweden, Norway, and Denmark. This defaults ' 'to Swedish keyboard","'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB',","import unittest from telemetry.core import browser_finder from telemetry.core import exceptions from telemetry.core import","the keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) # Test is finished. Restore original","autotest_ext=False, auto_login=True): \"\"\"Finds and creates a browser for tests. if autotest_ext is True,","'-g', 'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for region in self.REGIONS_LIST:","finished. Restore original region settings. self._SwitchRegion(initial_region) # The Region class and region list","'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta',","login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self,","def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript(","if region in ('au', 'ca', 'nz', 'za'): return 'en-GB' return 'en-US' # No","\"\" def testOobeLocalization(self): \"\"\"Tests different region configurations at OOBE\"\"\" # Save the original","'mo'): return 'zh-TW' return 'zh-CN' if lang == 'en': if region in ('au',","or region_code self.notes = notes class Enum(frozenset): def __getattr__(self, name): if name in","of Canada. See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)', (\"Canadian","Chromium Authors. All rights reserved. # Use of this source code is governed","return 'en-GB' return 'en-US' # No mapping found return \"\" def testOobeLocalization(self): \"\"\"Tests","in regions.py. class Region(object): def __init__(self, region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None):","English language ' 'for neutrality. Use if there is a single combined SKU","'', '') initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice(","self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest:","language, or an acceptable fallback value. languageFound = self._OobeHasOption(browser, 'language-select', region.language_code) if not","def ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\"typeof Oobe == 'function'\") and browser.oobe.EvaluateJavaScript( \"typeof Oobe.authenticateForTesting","value, isDefault) { var options = document.getElementById(selectId).options; for (var i = 0; i","mounted\"\"\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted'])","# If the locale matches a language but not the country, fall back","'', '', '', '') initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard, _","if lang == 'es' and region == 'es': return 'es-419' if lang ==","options.length; i++) { if (options[i].value == value) { // The option is present.","'undefined'\")) extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s; }); ''') return","The Region class and region list will be available in regions.py. class Region(object):","Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified","extension\"\"\" options = options_for_unittests.GetCopy() if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad(","guest user and when logged out\"\"\" with self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url)","' 'needs to be a single SKU for all of Canada. See '","Norway, and Denmark. This defaults ' 'to Swedish keyboard layout, but starts with","a browser for tests. if autotest_ext is True, also loads the autotest extension\"\"\"","State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser, selectId, value): hasOptionJs","% self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); '''","not languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback)) # Find the","# an existing locale. See ui/base/l10n/l10n_util.cc. lang, _, region = map(str.lower, locale.partition('-')) if","See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)', (\"Canadian Multilingual keyboard;","self.time_zone = time_zone self.language_code = language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description = description or","neutrality. Use if there is a single combined SKU for Nordic ' 'countries.')),","= document.getElementById(selectId).options; for (var i = 0; i < options.length; i++) { if","there separate SKUs for Nordic countries (Sweden, \" \"Norway, and Denmark), or the","and region list will be available in regions.py. class Region(object): def __init__(self, region_code,","'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST = [ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI,","fallback value. languageFound = self._OobeHasOption(browser, 'language-select', region.language_code) if not languageFound: fallback = self._ResolveLanguage(region.language_code)","self.assertEquals(chronos_fs, 'guestfs') else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'),","('Canada with hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO), ' 'defaulting to English language","(exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) #","options.selectedIndex == i; } } return false; })(\"%s\", \"%s\", %s); ''' return browser.oobe.EvaluateJavaScript(","the LICENSE file. import json import logging import os import unittest from telemetry.core","# Copyright (c) 2012 The Chromium Authors. All rights reserved. # Use of","with hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO), ' 'defaulting to English language and","_KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI,","self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def","extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof chrome.autotestPrivate.lockScreen == 'function'\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for","all of Canada. See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)',","options = options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type == 'cros-chrome-guest' self._username","autotest extension instance\"\"\" extension = browser.extensions[self._load_extension] self.assertTrue(extension) return extension def _GetLoginStatus(self, browser): extension","util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \"\"\"Verifies cryptohome mount status for regular and","self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension","of this source code is governed by a BSD-style license that can be","from telemetry.core import exceptions from telemetry.core import extension_to_load from telemetry.core import util from","autotest_ext is True, also loads the autotest extension\"\"\" options = options_for_unittests.GetCopy() if autotest_ext:","'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US keyboard)', 'Canada with US (ANSI) keyboard; see","autotestPrivate.loginStatus\"\"\" with self._CreateBrowser(autotest_ext=True) as b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser'])","in self: return name raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML","hasOptionJs % (selectId, value, 'true')) def _ResolveLanguage(self, locale): # If the locale matches","Nordic ' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\"Use this if there","class and region list will be available in regions.py. class Region(object): def __init__(self,","instead.\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'), Region('us', 'xkb:us::eng', 'America/Los_Angeles', 'en-US', _KML.ANSI, 'United","defaults ' 'to Swedish keyboard layout, but starts with US English language '","'cros-chrome-guest' self._username = '' if self._is_guest else options.browser_options.username self._password = options.browser_options.password def _IsCryptohomeMounted(self):","with self._CreateBrowser(autotest_ext=True) as b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest,","self._SwitchRegion(initial_region) # The Region class and region list will be available in regions.py.","self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \"\"\"Tests autotestPrivate.loginStatus\"\"\" with self._CreateBrowser(autotest_ext=True) as b: login_status =","'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur',","'en-GB' return 'en-US' # No mapping found return \"\" def testOobeLocalization(self): \"\"\"Tests different","# Ensure the dropdown lists have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\"language-select\") != null'),","10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad password') def ErrorBubbleVisible(): return not","probably don't want this. See \" \"http://goto/cros-canada\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'),","self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type == 'cros-chrome-guest' self._username = '' if","browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login","extension = browser.extensions[self._load_extension] self.assertTrue(extension) return extension def _GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript(","'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng',","self._is_guest else options.browser_options.username self._password = options.browser_options.password def _IsCryptohomeMounted(self): \"\"\"Returns True if cryptohome is","telemetry.core.backends.chrome import cros_interface from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options =","_KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified SKU for Sweden, Norway,","self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \"\"\"Tests autotestPrivate.logout\"\"\" with self._CreateBrowser(autotest_ext=True) as b: extension = self._GetAutotestExtension(b)","self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked']","also loads the autotest extension\"\"\" options = options_for_unittests.GetCopy() if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__),","self._CreateBrowser(auto_login=False) as browser: # Ensure the dropdown lists have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript(","French (ISO) keyboard. The most common configuration for ' 'Canadian French SKUs. See","'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)', (\"Canadian Multilingual keyboard; you probably don't want","# Remove cached files to clear initial locale info and force regeneration. self._cri.RunCmdOnDevice(['rm',","is only shipping to Sweden. \" \"If there is a single unified SKU,","testLoginStatus(self): \"\"\"Tests autotestPrivate.loginStatus\"\"\" with self._CreateBrowser(autotest_ext=True) as b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not","null'), 10) # Find the language, or an acceptable fallback value. languageFound =","{ // The option is present. Make sure it's selected if necessary. return","or an acceptable fallback value. languageFound = self._OobeHasOption(browser, 'language-select', region.language_code) if not languageFound:","'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada with hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO),","if lang == 'zh': if region in ('hk', 'mo'): return 'zh-TW' return 'zh-CN'","__init__(self, region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code = region_code self.keyboard =","_SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD (requires RW-enabled firmware). # To save","SKU for Nordic ' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\"Use this","(\"Use this if there separate SKUs for Nordic countries (Sweden, \" \"Norway, and","|| options.selectedIndex == i; } } return false; })(\"%s\", \"%s\", %s); ''' return","Copyright (c) 2012 The Chromium Authors. All rights reserved. # Use of this","is present. Make sure it's selected if necessary. return !isDefault || options.selectedIndex ==","\"\"\"Returns the autotest extension instance\"\"\" extension = browser.extensions[self._load_extension] self.assertTrue(extension) return extension def _GetLoginStatus(self,","auto_login b = browser_to_create.Create() b.Start() return b def _GetAutotestExtension(self, browser): \"\"\"Returns the autotest","and keyboard. Used only if there ' 'needs to be a single SKU","class Enum(frozenset): def __getattr__(self, name): if name in self: return name raise AttributeError","cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def","info and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui'])","from other countries to a localized country if lang == 'es' and region","document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def","def setUp(self): options = options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type ==","the device is only shipping to Sweden. \" \"If there is a single","# found in the LICENSE file. import json import logging import os import","keyboard_mechanical_layout, description=None, notes=None): self.region_code = region_code self.keyboard = keyboard self.time_zone = time_zone self.language_code","cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True): \"\"\"Finds and creates a browser for tests. if","'Canada (hybrid)', ('Canada with hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO), ' 'defaulting to","extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock screen') def ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\"typeof Oobe","chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path',","options_for_unittests.GetCopy() if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True)","sure it's selected if necessary. return !isDefault || options.selectedIndex == i; } }","keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code = region_code self.keyboard = keyboard self.time_zone","'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr',","is a single unified SKU, use 'nordic' instead.\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI,","that the option is present, and selected if it is the default. (function","logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username, self._password)) util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser))","ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\"typeof Oobe == 'function'\") and browser.oobe.EvaluateJavaScript( \"typeof Oobe.authenticateForTesting ==","['vpd', '-g', 'keyboard_layout']) for region in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser: #","save time, region and initial_timezone are not set. vpd = {'initial_locale': region.language_code, 'keyboard_layout':","ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username)","for Nordic ' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\"Use this if","region.language_code, 'keyboard_layout': region.keyboard} for (key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\"%s\"=\"%s\"' % (key,","self._cri.RunCmdOnDevice(['vpd', '-s', '\"%s\"=\"%s\"' % (key, value)]) # Remove cached files to clear initial","return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \"\"\"Verifies cryptohome mount status for regular","== 'en': if region in ('au', 'ca', 'nz', 'za'): return 'en-GB' return 'en-US'","self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof('chrome.autotestPrivate') != 'undefined'\")) extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status =","browser.oobe.EvaluateJavaScript( \"typeof Oobe.authenticateForTesting == 'function'\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a","= time_zone self.language_code = language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description = description or region_code","= cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type == 'cros-chrome-guest' self._username = '' if self._is_guest","'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'),","'defaulting to English language and keyboard. Used only if there ' 'needs to","lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \"\"\"Verifies cryptohome mount status for regular and guest","'' if self._is_guest else options.browser_options.username self._password = options.browser_options.password def _IsCryptohomeMounted(self): \"\"\"Returns True if","% (key, value)]) # Remove cached files to clear initial locale info and","def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof chrome.autotestPrivate.lockScreen == 'function'\")) logging.info('Locking","region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD (requires RW-enabled firmware). # To save time,","for ' 'Canadian French SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada","== 'es' and region == 'es': return 'es-419' if lang == 'zh': if","'ISO', 'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST = [ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU',","class CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest =","\"\"\"Tests different region configurations at OOBE\"\"\" # Save the original device localization settings.","'es-419' if lang == 'zh': if region in ('hk', 'mo'): return 'zh-TW' return","self.language_code = language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description = description or region_code self.notes =","is present, and selected if it is the default. (function hasOption(selectId, value, isDefault)","selected if necessary. return !isDefault || options.selectedIndex == i; } } return false;","return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value, 'true')) def _ResolveLanguage(self, locale): # If the","region.keyboard)) # Test is finished. Restore original region settings. self._SwitchRegion(initial_region) # The Region","Multilingual keyboard; you probably don't want this. See \" \"http://goto/cros-canada\")), Region('de', 'xkb:de::ger', 'Europe/Berlin',","'function'\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock screen') def ScreenLocked(): return (browser.oobe","auto_login=True): \"\"\"Finds and creates a browser for tests. if autotest_ext is True, also","if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs)","< options.length; i++) { if (options[i].value == value) { // The option is","mapping found return \"\" def testOobeLocalization(self): \"\"\"Tests different region configurations at OOBE\"\"\" #","'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London',","'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US',","self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create)","if self._is_guest else options.browser_options.username self._password = options.browser_options.password def _IsCryptohomeMounted(self): \"\"\"Returns True if cryptohome","time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code = region_code self.keyboard = keyboard self.time_zone =","starts with US English language ' 'for neutrality. Use if there is a","if there is a single combined SKU for Nordic ' 'countries.')), Region('se', 'xkb:se::swe',","cryptohome mount status for regular and guest user and when logged out\"\"\" with","''' % (self._username, self._password)) util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \"\"\"Tests autotestPrivate.screenLock\"\"\"","'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\"Use this if there separate SKUs for Nordic countries","self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) # Test is finished. Restore original region settings. self._SwitchRegion(initial_region)","'nordic' instead.\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'), Region('us', 'xkb:us::eng', 'America/Los_Angeles', 'en-US', _KML.ANSI,","return false; })(\"%s\", \"%s\", %s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value, 'true'))","self.region_code = region_code self.keyboard = keyboard self.time_zone = time_zone self.language_code = language_code self.keyboard_mechanical_layout","'Canada with US (ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada","telemetry.core import extension_to_load from telemetry.core import util from telemetry.core.backends.chrome import cros_interface from telemetry.unittest","for regular and guest user and when logged out\"\"\" with self._CreateBrowser() as b:","a single SKU for all of Canada. See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto',","_IsCryptohomeMounted(self): \"\"\"Returns True if cryptohome is mounted\"\"\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus","= keyboard_mechanical_layout self.description = description or region_code self.notes = notes class Enum(frozenset): def","default. (function hasOption(selectId, value, isDefault) { var options = document.getElementById(selectId).options; for (var i","'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified SKU for Sweden, Norway, and Denmark. This defaults","cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True): \"\"\"Finds and","found in the LICENSE file. import json import logging import os import unittest","self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \"\"\"Tests autotestPrivate.loginStatus\"\"\" with","browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof chrome.autotestPrivate.lockScreen","xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO), ' 'defaulting to English language and keyboard. Used","Used only if there ' 'needs to be a single SKU for all","region list will be available in regions.py. class Region(object): def __init__(self, region_code, keyboard,","def __init__(self, region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code = region_code self.keyboard","want this. See \" \"http://goto/cros-canada\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin',","Region(object): def __init__(self, region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code = region_code","don't want this. See \" \"http://goto/cros-canada\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi',","original device localization settings. # To save time, only read initial_locale and keyboard_layout.","b def _GetAutotestExtension(self, browser): \"\"\"Returns the autotest extension instance\"\"\" extension = browser.extensions[self._load_extension] self.assertTrue(extension)","tests. if autotest_ext is True, also loads the autotest extension\"\"\" options = options_for_unittests.GetCopy()","chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \"\"\"Tests autotestPrivate.loginStatus\"\"\" with self._CreateBrowser(autotest_ext=True) as b: login_status","!= null'), 10) # Find the language, or an acceptable fallback value. languageFound","__getattr__(self, name): if name in self: return name raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI',","as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs,","'/dev/mapper/encstateful') def testLoginStatus(self): \"\"\"Tests autotestPrivate.loginStatus\"\"\" with self._CreateBrowser(autotest_ext=True) as b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status),","'za'): return 'en-GB' return 'en-US' # No mapping found return \"\" def testOobeLocalization(self):","'document.getElementById(\"language-select\") != null'), 10) # Find the language, or an acceptable fallback value.","countries (Sweden, \" \"Norway, and Denmark), or the device is only shipping to","except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui'])","_GetAutotestExtension(self, browser): \"\"\"Returns the autotest extension instance\"\"\" extension = browser.extensions[self._load_extension] self.assertTrue(extension) return extension","i; } } return false; })(\"%s\", \"%s\", %s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs %","'', '', '') initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard, _ =","'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)', (\"Canadian Multilingual keyboard; you probably","json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True): \"\"\"Finds and creates a","Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb',","cros_interface from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy() self._cri","bad password') def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad');","locale.partition('-')) if not region: return \"\" # Map from other countries to a","countries to a localized country if lang == 'es' and region == 'es':","is mounted\"\"\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and","self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \"\"\"Tests autotestPrivate.screenLock\"\"\" with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def","= null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s; }); ''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'),","'es': return 'es-419' if lang == 'zh': if region in ('hk', 'mo'): return","Make sure it's selected if necessary. return !isDefault || options.selectedIndex == i; }","== i; } } return false; })(\"%s\", \"%s\", %s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs","self._OobeHasOption(browser, 'language-select', fallback)) # Find the keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) #","(Sweden, \" \"Norway, and Denmark), or the device is only shipping to Sweden.","'en': if region in ('au', 'ca', 'nz', 'za'): return 'en-GB' return 'en-US' #","if name in self: return name raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS',","'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm',","time, only read initial_locale and keyboard_layout. initial_region = self.Region('', '', '', '', '')","self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof chrome.autotestPrivate.lockScreen == 'function'\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting","self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser, selectId,","_KML.ANSI, 'Canada (US keyboard)', 'Canada with US (ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra',","logged out\"\"\" with self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user')","self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \"\"\"Tests autotestPrivate.loginStatus\"\"\" with self._CreateBrowser(autotest_ext=True) as b: login_status = self._GetLoginStatus(b)","'language-select', fallback)) # Find the keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) # Test","The most common configuration for ' 'Canadian French SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng',","a language but not the country, fall back to # an existing locale.","not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible, 10)","'-g', 'keyboard_layout']) for region in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser: # Ensure","logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock screen') def ScreenLocked(): return (browser.oobe and","this. See \" \"http://goto/cros-canada\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki',","options.browser_options.auto_login = auto_login b = browser_to_create.Create() b.Start() return b def _GetAutotestExtension(self, browser): \"\"\"Returns","_UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username, self._password)) util.WaitFor(lambda: not browser.oobe,","# Find the language, or an acceptable fallback value. languageFound = self._OobeHasOption(browser, 'language-select',","separate SKUs for Nordic countries (Sweden, \" \"Norway, and Denmark), or the device","\" \"If there is a single unified SKU, use 'nordic' instead.\")), Region('sg', 'xkb:us::eng',","clear initial locale info and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log',","be # found in the LICENSE file. import json import logging import os","util from telemetry.core.backends.chrome import cros_interface from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self):","and when logged out\"\"\" with self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs","been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\"language-select\") != null'), 10) # Find the language, or","'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified SKU","initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for region in self.REGIONS_LIST: self._SwitchRegion(region) with","= json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True): \"\"\"Finds and creates","Test is finished. Restore original region settings. self._SwitchRegion(initial_region) # The Region class and","vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\"%s\"=\"%s\"' % (key, value)]) # Remove cached files to clear","BSD-style license that can be # found in the LICENSE file. import json","% (self._username, self._password)) util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \"\"\"Tests autotestPrivate.screenLock\"\"\" with","\"\"\"Verifies cryptohome mount status for regular and guest user and when logged out\"\"\"","// Check that the option is present, and selected if it is the","the default. (function hasOption(selectId, value, isDefault) { var options = document.getElementById(selectId).options; for (var","region.keyboard} for (key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\"%s\"=\"%s\"' % (key, value)]) #","(cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True): \"\"\"Finds and creates a browser for","and browser.oobe.EvaluateJavaScript(\"typeof Oobe == 'function'\") and browser.oobe.EvaluateJavaScript( \"typeof Oobe.authenticateForTesting == 'function'\")) util.WaitFor(ScreenLocked, 10)","def testScreenLock(self): \"\"\"Tests autotestPrivate.screenLock\"\"\" with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self):","the original device localization settings. # To save time, only read initial_locale and","[self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login = auto_login b =","def _CreateBrowser(self, autotest_ext=False, auto_login=True): \"\"\"Finds and creates a browser for tests. if autotest_ext","will be available in regions.py. class Region(object): def __init__(self, region_code, keyboard, time_zone, language_code,","Sweden, Norway, and Denmark. This defaults ' 'to Swedish keyboard layout, but starts","keyboard layout, but starts with US English language ' 'for neutrality. Use if","\"typeof chrome.autotestPrivate.lockScreen == 'function'\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock screen') def","'for neutrality. Use if there is a single combined SKU for Nordic '","extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe =","not region: return \"\" # Map from other countries to a localized country","\"\" # Map from other countries to a localized country if lang ==","self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof chrome.autotestPrivate.lockScreen == 'function'\"))","options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest","is a single combined SKU for Nordic ' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv',","common configuration for ' 'Canadian French SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA',","options.cros_ssh_identity) self._is_guest = options.browser_type == 'cros-chrome-guest' self._username = '' if self._is_guest else options.browser_options.username","Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in',","return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof chrome.autotestPrivate.lockScreen ==","def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD (requires RW-enabled firmware). # To","return (browser.oobe and browser.oobe.EvaluateJavaScript(\"typeof Oobe == 'function'\") and browser.oobe.EvaluateJavaScript( \"typeof Oobe.authenticateForTesting == 'function'\"))","('Canadian French (ISO) keyboard. The most common configuration for ' 'Canadian French SKUs.","there is a single unified SKU, use 'nordic' instead.\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB',","from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy() self._cri =","= self._OobeHasOption(browser, 'language-select', region.language_code) if not languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser,","autotestPrivate.screenLock\"\"\" with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \"\"\"Tests autotestPrivate.logout\"\"\" with","'zh-CN' if lang == 'en': if region in ('au', 'ca', 'nz', 'za'): return","region_code self.keyboard = keyboard self.time_zone = time_zone self.language_code = language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout","browser_finder from telemetry.core import exceptions from telemetry.core import extension_to_load from telemetry.core import util","logging import os import unittest from telemetry.core import browser_finder from telemetry.core import exceptions","self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username])","Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript('''","'\"%s\"=\"%s\"' % (key, value)]) # Remove cached files to clear initial locale info","b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username)","browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof chrome.autotestPrivate.lockScreen == 'function'\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();')","= '' if self._is_guest else options.browser_options.username self._password = options.browser_options.password def _IsCryptohomeMounted(self): \"\"\"Returns True","\" \"http://goto/cros-canada\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO,","10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \"\"\"Tests autotestPrivate.screenLock\"\"\" with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser)","and creates a browser for tests. if autotest_ext is True, also loads the","'needs to be a single SKU for all of Canada. See ' 'http://goto/cros-canada')),","def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad password') def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden","(US keyboard)', 'Canada with US (ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA',","def _OobeHasOption(self, browser, selectId, value): hasOptionJs = ''' // Check that the option","(ISO) keyboard. The most common configuration for ' 'Canadian French SKUs. See http://goto/cros-canada')),","'%s'); ''' % (self._username, self._password)) util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \"\"\"Tests","if cryptohome is mounted\"\"\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return","testScreenLock(self): \"\"\"Tests autotestPrivate.screenLock\"\"\" with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \"\"\"Tests","and browser.oobe.EvaluateJavaScript( \"typeof Oobe.authenticateForTesting == 'function'\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying","time, region and initial_timezone are not set. vpd = {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard}","and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def","read initial_locale and keyboard_layout. initial_region = self.Region('', '', '', '', '') initial_region.language_code, _","option is present. Make sure it's selected if necessary. return !isDefault || options.selectedIndex","10) def testCryptohomeMounted(self): \"\"\"Verifies cryptohome mount status for regular and guest user and","_ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout'])","self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for region in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser:","if not languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback)) # Find","use 'nordic' instead.\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'), Region('us', 'xkb:us::eng', 'America/Los_Angeles', 'en-US',","dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return","No mapping found return \"\" def testOobeLocalization(self): \"\"\"Tests different region configurations at OOBE\"\"\"","keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) # Test is finished. Restore original region","keyboard. The most common configuration for ' 'Canadian French SKUs. See http://goto/cros-canada')), Region('ca.hybrid',","that can be # found in the LICENSE file. import json import logging","This defaults ' 'to Swedish keyboard layout, but starts with US English language","with self._CreateBrowser(auto_login=False) as browser: # Ensure the dropdown lists have been created. util.WaitFor(lambda:","0; i < options.length; i++) { if (options[i].value == value) { // The","for tests. if autotest_ext is True, also loads the autotest extension\"\"\" options =","_KML.ISO, 'Canada (hybrid)', ('Canada with hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO), ' 'defaulting","time_zone self.language_code = language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description = description or region_code self.notes","cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type == 'cros-chrome-guest' self._username = '' if self._is_guest else","present. Make sure it's selected if necessary. return !isDefault || options.selectedIndex == i;","'ca', 'nz', 'za'): return 'en-GB' return 'en-US' # No mapping found return \"\"","= True options.browser_options.auto_login = auto_login b = browser_to_create.Create() b.Start() return b def _GetAutotestExtension(self,","= self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback)) # Find the keyboard layout. self.assertTrue(self._OobeHasOption(","return name raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout","Denmark. This defaults ' 'to Swedish keyboard layout, but starts with US English","\" \"Norway, and Denmark), or the device is only shipping to Sweden. \"","= notes class Enum(frozenset): def __getattr__(self, name): if name in self: return name","if autotest_ext is True, also loads the autotest extension\"\"\" options = options_for_unittests.GetCopy() if","''' // Check that the option is present, and selected if it is","value): hasOptionJs = ''' // Check that the option is present, and selected","http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada with hybrid xkb:ca:eng:eng +","= os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create","self.keyboard = keyboard self.time_zone = time_zone self.language_code = language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description","Check that the option is present, and selected if it is the default.","in the LICENSE file. import json import logging import os import unittest from","_LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof chrome.autotestPrivate.lockScreen == 'function'\")) logging.info('Locking screen')","force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self,","'en-CA', _KML.ANSI, 'Canada (US keyboard)', 'Canada with US (ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr',","or the device is only shipping to Sweden. \" \"If there is a","= extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe","region in ('au', 'ca', 'nz', 'za'): return 'en-GB' return 'en-US' # No mapping","'keyboard_layout']) for region in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser: # Ensure the","vpd = {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for (key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s',","extension instance\"\"\" extension = browser.extensions[self._load_extension] self.assertTrue(extension) return extension def _GetLoginStatus(self, browser): extension =","but not the country, fall back to # an existing locale. See ui/base/l10n/l10n_util.cc.","lang, _, region = map(str.lower, locale.partition('-')) if not region: return \"\" # Map","= Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST = [ Region('au', 'xkb:us::eng',","'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French keyboard)', ('Canadian French (ISO) keyboard. The most common","region configurations at OOBE\"\"\" # Save the original device localization settings. # To","fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback)) # Find the keyboard layout.","'ui']) # Change VPD (requires RW-enabled firmware). # To save time, region and","value)]) # Remove cached files to clear initial locale info and force regeneration.","region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code = region_code self.keyboard = keyboard","Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US","single unified SKU, use 'nordic' instead.\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'), Region('us',","import util from telemetry.core.backends.chrome import cros_interface from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def","have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\"language-select\") != null'), 10) # Find the language,","self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home, _ =","'Canada (multilingual)', (\"Canadian Multilingual keyboard; you probably don't want this. See \" \"http://goto/cros-canada\")),","Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl',","{'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for (key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\"%s\"=\"%s\"' %","Ensure the dropdown lists have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\"language-select\") != null'), 10)","import exceptions from telemetry.core import extension_to_load from telemetry.core import util from telemetry.core.backends.chrome import","selected if it is the default. (function hasOption(selectId, value, isDefault) { var options","self: return name raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML =","= self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user',","util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD (requires","(ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French keyboard)', ('Canadian","Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified SKU for Sweden, Norway, and Denmark.","True if cryptohome is mounted\"\"\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON)","SKU for Sweden, Norway, and Denmark. This defaults ' 'to Swedish keyboard layout,","self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser, selectId, value): hasOptionJs =","util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\"language-select\") != null'), 10) # Find the language, or an acceptable","but starts with US English language ' 'for neutrality. Use if there is","True, also loads the autotest extension\"\"\" options = options_for_unittests.GetCopy() if autotest_ext: extension_path =","exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change","'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\"Use this if there separate SKUs","Denmark), or the device is only shipping to Sweden. \" \"If there is","user and when logged out\"\"\" with self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted())","'-s', '\"%s\"=\"%s\"' % (key, value)]) # Remove cached files to clear initial locale","'es' and region == 'es': return 'es-419' if lang == 'zh': if region","hasOption(selectId, value, isDefault) { var options = document.getElementById(selectId).options; for (var i = 0;","not the country, fall back to # an existing locale. See ui/base/l10n/l10n_util.cc. lang,","initial_timezone are not set. vpd = {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for (key, value)","chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s; }); ''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def","'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng',","browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username, self._password)) util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def","= self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for","'Nordics', ('Unified SKU for Sweden, Norway, and Denmark. This defaults ' 'to Swedish","window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s; }); ''') return util.WaitFor( lambda:","lang == 'en': if region in ('au', 'ca', 'nz', 'za'): return 'en-GB' return","name in self: return name raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS', 'ABNT2'])","'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'),","hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO), ' 'defaulting to English language and keyboard.","(c) 2012 The Chromium Authors. All rights reserved. # Use of this source","there ' 'needs to be a single SKU for all of Canada. See","i < options.length; i++) { if (options[i].value == value) { // The option","= self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \"\"\"Tests autotestPrivate.loginStatus\"\"\"","return \"\" # Map from other countries to a localized country if lang","%s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value, 'true')) def _ResolveLanguage(self, locale): #","ui/base/l10n/l10n_util.cc. lang, _, region = map(str.lower, locale.partition('-')) if not region: return \"\" #","extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s; }); ''') return util.WaitFor(","'zh': if region in ('hk', 'mo'): return 'zh-TW' return 'zh-CN' if lang ==","extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \"\"\"Verifies cryptohome mount status for regular and guest user","autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load =","\"%s\", %s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value, 'true')) def _ResolveLanguage(self, locale):","notes class Enum(frozenset): def __getattr__(self, name): if name in self: return name raise","(key, value)]) # Remove cached files to clear initial locale info and force","language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code = region_code self.keyboard = keyboard self.time_zone = time_zone","= browser.extensions[self._load_extension] self.assertTrue(extension) return extension def _GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof('chrome.autotestPrivate')","// The option is present. Make sure it's selected if necessary. return !isDefault","self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension =","for region in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser: # Ensure the dropdown","browser.oobe.EvaluateJavaScript( 'document.getElementById(\"language-select\") != null'), 10) # Find the language, or an acceptable fallback","self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser: # Ensure the dropdown lists have been","REGIONS_LIST = [ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA',","extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension]","code is governed by a BSD-style license that can be # found in","self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True):","options.extensions_to_load = [self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login = auto_login","self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser)","if necessary. return !isDefault || options.selectedIndex == i; } } return false; })(\"%s\",","options.browser_options.password def _IsCryptohomeMounted(self): \"\"\"Returns True if cryptohome is mounted\"\"\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome',","in ('au', 'ca', 'nz', 'za'): return 'en-GB' return 'en-US' # No mapping found","len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home,","save time, only read initial_locale and keyboard_layout. initial_region = self.Region('', '', '', '',","Nordic countries (Sweden, \" \"Norway, and Denmark), or the device is only shipping","if there separate SKUs for Nordic countries (Sweden, \" \"Norway, and Denmark), or","10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username, self._password))","creates a browser for tests. if autotest_ext is True, also loads the autotest","self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD (requires RW-enabled firmware). # To save time, region","_KML = KeyboardMechanicalLayout REGIONS_LIST = [ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi',","= options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type == 'cros-chrome-guest' self._username =","autotest extension\"\"\" options = options_for_unittests.GetCopy() if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension =","KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST = [ Region('au',","is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login =","self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for region","= self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for region in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as","= options_for_unittests.GetCopy() if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type,","configurations at OOBE\"\"\" # Save the original device localization settings. # To save","\"Norway, and Denmark), or the device is only shipping to Sweden. \" \"If","self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback)) # Find the keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select',","locale): # If the locale matches a language but not the country, fall","most common configuration for ' 'Canadian French SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto',","the autotest extension\"\"\" options = options_for_unittests.GetCopy() if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension","_CreateBrowser(self, autotest_ext=False, auto_login=True): \"\"\"Finds and creates a browser for tests. if autotest_ext is","as b: extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not","(function hasOption(selectId, value, isDefault) { var options = document.getElementById(selectId).options; for (var i =","there is a single combined SKU for Nordic ' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm',","== 'function'\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad password') def","All rights reserved. # Use of this source code is governed by a","(browser.oobe and browser.oobe.EvaluateJavaScript(\"typeof Oobe == 'function'\") and browser.oobe.EvaluateJavaScript( \"typeof Oobe.authenticateForTesting == 'function'\")) util.WaitFor(ScreenLocked,","hasOptionJs = ''' // Check that the option is present, and selected if","self.description = description or region_code self.notes = notes class Enum(frozenset): def __getattr__(self, name):","for Nordic countries (Sweden, \" \"Norway, and Denmark), or the device is only","unified SKU, use 'nordic' instead.\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'), Region('us', 'xkb:us::eng',","language but not the country, fall back to # an existing locale. See","original region settings. self._SwitchRegion(initial_region) # The Region class and region list will be","'fr-CA', _KML.ISO, 'Canada (French keyboard)', ('Canadian French (ISO) keyboard. The most common configuration","else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def","Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'), Region('us', 'xkb:us::eng', 'America/Los_Angeles', 'en-US', _KML.ANSI, 'United States'),","'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng',","'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US keyboard)', 'Canada","['vpd', '-g', 'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for region in","Restore original region settings. self._SwitchRegion(initial_region) # The Region class and region list will","'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra',","regular and guest user and when logged out\"\"\" with self._CreateBrowser() as b: self.assertEquals(1,","= options.browser_type == 'cros-chrome-guest' self._username = '' if self._is_guest else options.browser_options.username self._password =","browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \"\"\"Tests autotestPrivate.screenLock\"\"\" with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser)","instance\"\"\" extension = browser.extensions[self._load_extension] self.assertTrue(extension) return extension def _GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser)","governed by a BSD-style license that can be # found in the LICENSE","self._UnlockScreen(browser) def testLogout(self): \"\"\"Tests autotestPrivate.logout\"\"\" with self._CreateBrowser(autotest_ext=True) as b: extension = self._GetAutotestExtension(b) try:","set. vpd = {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for (key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd',","English language and keyboard. Used only if there ' 'needs to be a","notes=None): self.region_code = region_code self.keyboard = keyboard self.time_zone = time_zone self.language_code = language_code","isDefault) { var options = document.getElementById(selectId).options; for (var i = 0; i <","to be a single SKU for all of Canada. See ' 'http://goto/cros-canada')), Region('ca.multix',","'guestfs') else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful')","\"\"\"Finds and creates a browser for tests. if autotest_ext is True, also loads","'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'),","for Sweden, Norway, and Denmark. This defaults ' 'to Swedish keyboard layout, but","reserved. # Use of this source code is governed by a BSD-style license","RW-enabled firmware). # To save time, region and initial_timezone are not set. vpd","browser, selectId, value): hasOptionJs = ''' // Check that the option is present,","self._OobeHasOption(browser, 'language-select', region.language_code) if not languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select',","raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST =","path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True","window.__login_status = s; }); ''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \"\"\"Verifies","value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\"%s\"=\"%s\"' % (key, value)]) # Remove cached files","mount status for regular and guest user and when logged out\"\"\" with self._CreateBrowser()","Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)', (\"Canadian Multilingual keyboard; you probably don't","browser.extensions[self._load_extension] self.assertTrue(extension) return extension def _GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof('chrome.autotestPrivate') !=","'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics',","testCryptohomeMounted(self): \"\"\"Verifies cryptohome mount status for regular and guest user and when logged","SKU, use 'nordic' instead.\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'), Region('us', 'xkb:us::eng', 'America/Los_Angeles',","telemetry.core import exceptions from telemetry.core import extension_to_load from telemetry.core import util from telemetry.core.backends.chrome","it's selected if necessary. return !isDefault || options.selectedIndex == i; } } return","See \" \"http://goto/cros-canada\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi',","self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \"\"\"Tests autotestPrivate.loginStatus\"\"\" with self._CreateBrowser(autotest_ext=True) as","if not region: return \"\" # Map from other countries to a localized","_KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO,","browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value, 'true')) def _ResolveLanguage(self, locale): # If the locale","'Canada (French keyboard)', ('Canadian French (ISO) keyboard. The most common configuration for '","'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US keyboard)', 'Canada with US (ANSI)","extension def _GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof('chrome.autotestPrivate') != 'undefined'\")) extension.ExecuteJavaScript(''' window.__login_status","keyboard. Used only if there ' 'needs to be a single SKU for","from telemetry.core import browser_finder from telemetry.core import exceptions from telemetry.core import extension_to_load from","util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \"\"\"Tests autotestPrivate.screenLock\"\"\" with self._CreateBrowser(autotest_ext=True) as browser:","return 'es-419' if lang == 'zh': if region in ('hk', 'mo'): return 'zh-TW'","self.notes = notes class Enum(frozenset): def __getattr__(self, name): if name in self: return","shipping to Sweden. \" \"If there is a single unified SKU, use 'nordic'","'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB',","screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock screen') def ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\"typeof","'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for region in self.REGIONS_LIST: self._SwitchRegion(region)","'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin',","if (options[i].value == value) { // The option is present. Make sure it's","not set. vpd = {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for (key, value) in vpd.items():","'true')) def _ResolveLanguage(self, locale): # If the locale matches a language but not","from telemetry.core import util from telemetry.core.backends.chrome import cros_interface from telemetry.unittest import options_for_unittests class","self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback)) # Find the keyboard layout. self.assertTrue(self._OobeHasOption( browser,","settings. self._SwitchRegion(initial_region) # The Region class and region list will be available in","_ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \"\"\"Tests","Map from other countries to a localized country if lang == 'es' and","[ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada","self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \"\"\"Tests autotestPrivate.loginStatus\"\"\" with self._CreateBrowser(autotest_ext=True) as b:","self.assertTrue(extension.EvaluateJavaScript( \"typeof('chrome.autotestPrivate') != 'undefined'\")) extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s;","self.assertTrue(extension.EvaluateJavaScript( \"typeof chrome.autotestPrivate.lockScreen == 'function'\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock screen')","description or region_code self.notes = notes class Enum(frozenset): def __getattr__(self, name): if name","other countries to a localized country if lang == 'es' and region ==","keyboard_mechanical_layout self.description = description or region_code self.notes = notes class Enum(frozenset): def __getattr__(self,","}); ''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \"\"\"Verifies cryptohome mount status","not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \"\"\"Tests autotestPrivate.screenLock\"\"\" with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser)","# Test is finished. Restore original region settings. self._SwitchRegion(initial_region) # The Region class","self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()),","{ if (options[i].value == value) { // The option is present. Make sure","false; })(\"%s\", \"%s\", %s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value, 'true')) def","To save time, only read initial_locale and keyboard_layout. initial_region = self.Region('', '', '',","if there ' 'needs to be a single SKU for all of Canada.","return \"\" def testOobeLocalization(self): \"\"\"Tests different region configurations at OOBE\"\"\" # Save the","cached files to clear initial locale info and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\ State'])","util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad password') def ErrorBubbleVisible(): return","'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl',","testOobeLocalization(self): \"\"\"Tests different region configurations at OOBE\"\"\" # Save the original device localization","screen') def ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\"typeof Oobe == 'function'\") and browser.oobe.EvaluateJavaScript( \"typeof","as browser: # Ensure the dropdown lists have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\"language-select\")","# Save the original device localization settings. # To save time, only read","\"http://goto/cros-canada\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'),","present, and selected if it is the default. (function hasOption(selectId, value, isDefault) {","password') def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); '''","== 'es': return 'es-419' if lang == 'zh': if region in ('hk', 'mo'):","'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified SKU for Sweden, Norway, and","list will be available in regions.py. class Region(object): def __init__(self, region_code, keyboard, time_zone,","'to Swedish keyboard layout, but starts with US English language ' 'for neutrality.","source code is governed by a BSD-style license that can be # found","{ var options = document.getElementById(selectId).options; for (var i = 0; i < options.length;","(hybrid)', ('Canada with hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO), ' 'defaulting to English","'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada with hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO), '","telemetry.core import util from telemetry.core.backends.chrome import cros_interface from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase):","self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self,","b: extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(),","})(\"%s\", \"%s\", %s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value, 'true')) def _ResolveLanguage(self,","(selectId, value, 'true')) def _ResolveLanguage(self, locale): # If the locale matches a language","country if lang == 'es' and region == 'es': return 'es-419' if lang","language and keyboard. Used only if there ' 'needs to be a single","browser): \"\"\"Returns the autotest extension instance\"\"\" extension = browser.extensions[self._load_extension] self.assertTrue(extension) return extension def","= [self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login = auto_login b","Remove cached files to clear initial locale info and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\","the dropdown lists have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\"language-select\") != null'), 10) #","browser): logging.info('Trying a bad password') def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible())","To save time, region and initial_timezone are not set. vpd = {'initial_locale': region.language_code,","'language-select', region.language_code) if not languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback))","keyboard)', ('Canadian French (ISO) keyboard. The most common configuration for ' 'Canadian French","language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description = description or region_code self.notes = notes class","{ window.__login_status = s; }); ''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self):","browser, 'keyboard-select', region.keyboard)) # Test is finished. Restore original region settings. self._SwitchRegion(initial_region) #","'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'),","'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms',","\"typeof('chrome.autotestPrivate') != 'undefined'\")) extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s; });","== 'zh': if region in ('hk', 'mo'): return 'zh-TW' return 'zh-CN' if lang","be available in regions.py. class Region(object): def __init__(self, region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout,","_ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for region in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False)","file. import json import logging import os import unittest from telemetry.core import browser_finder","languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback)) # Find the keyboard","the autotest extension instance\"\"\" extension = browser.extensions[self._load_extension] self.assertTrue(extension) return extension def _GetLoginStatus(self, browser):","AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST = [","device localization settings. # To save time, only read initial_locale and keyboard_layout. initial_region","Use if there is a single combined SKU for Nordic ' 'countries.')), Region('se',","can be # found in the LICENSE file. import json import logging import","Canada. See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)', (\"Canadian Multilingual","= description or region_code self.notes = notes class Enum(frozenset): def __getattr__(self, name): if","lang == 'zh': if region in ('hk', 'mo'): return 'zh-TW' return 'zh-CN' if","login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked'])","_AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad password') def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''')","return !isDefault || options.selectedIndex == i; } } return false; })(\"%s\", \"%s\", %s);","if region in ('hk', 'mo'): return 'zh-TW' return 'zh-CN' if lang == 'en':","a bad password') def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s',","OOBE\"\"\" # Save the original device localization settings. # To save time, only","initial_region = self.Region('', '', '', '', '') initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd', '-g',","'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified SKU for Sweden, Norway, and Denmark. This","self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login = auto_login b = browser_to_create.Create() b.Start() return b","self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home, _","2012 The Chromium Authors. All rights reserved. # Use of this source code","Enum(frozenset): def __getattr__(self, name): if name in self: return name raise AttributeError KeyboardMechanicalLayout","!isDefault || options.selectedIndex == i; } } return false; })(\"%s\", \"%s\", %s); '''","'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French keyboard)', ('Canadian French (ISO) keyboard. The most","return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible,","value) { // The option is present. Make sure it's selected if necessary.","for the lock screen') def ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\"typeof Oobe == 'function'\")","== value) { // The option is present. Make sure it's selected if","telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote,","Sweden. \" \"If there is a single unified SKU, use 'nordic' instead.\")), Region('sg',","a localized country if lang == 'es' and region == 'es': return 'es-419'","Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username, self._password)) util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self):","VPD (requires RW-enabled firmware). # To save time, region and initial_timezone are not","= map(str.lower, locale.partition('-')) if not region: return \"\" # Map from other countries","See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada with hybrid xkb:ca:eng:eng","def testLoginStatus(self): \"\"\"Tests autotestPrivate.loginStatus\"\"\" with self._CreateBrowser(autotest_ext=True) as b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict)","(ISO), ' 'defaulting to English language and keyboard. Used only if there '","exceptions from telemetry.core import extension_to_load from telemetry.core import util from telemetry.core.backends.chrome import cros_interface","telemetry.core import browser_finder from telemetry.core import exceptions from telemetry.core import extension_to_load from telemetry.core","a BSD-style license that can be # found in the LICENSE file. import","testLogout(self): \"\"\"Tests autotestPrivate.logout\"\"\" with self._CreateBrowser(autotest_ext=True) as b: extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except","os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create =","self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof chrome.autotestPrivate.lockScreen == 'function'\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock","self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser: # Ensure the dropdown lists have been created.","= s; }); ''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \"\"\"Verifies cryptohome","''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self,","self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted())","layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) # Test is finished. Restore original region settings.","license that can be # found in the LICENSE file. import json import","def _ResolveLanguage(self, locale): # If the locale matches a language but not the","\"typeof Oobe.authenticateForTesting == 'function'\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad","'function'\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad password') def ErrorBubbleVisible():","self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \"\"\"Tests autotestPrivate.logout\"\"\" with self._CreateBrowser(autotest_ext=True) as b: extension =","# Map from other countries to a localized country if lang == 'es'","return 'en-US' # No mapping found return \"\" def testOobeLocalization(self): \"\"\"Tests different region","the option is present, and selected if it is the default. (function hasOption(selectId,","acceptable fallback value. languageFound = self._OobeHasOption(browser, 'language-select', region.language_code) if not languageFound: fallback =","_KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO,","('hk', 'mo'): return 'zh-TW' return 'zh-CN' if lang == 'en': if region in","= browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login = auto_login b = browser_to_create.Create() b.Start()","keyboard_layout. initial_region = self.Region('', '', '', '', '') initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd',","pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD","Authors. All rights reserved. # Use of this source code is governed by","Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST = [ Region('au', 'xkb:us::eng', 'Australia/Sydney',","_KML.ISO, 'Canada (French keyboard)', ('Canadian French (ISO) keyboard. The most common configuration for","browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login = auto_login b = browser_to_create.Create() b.Start() return","only shipping to Sweden. \" \"If there is a single unified SKU, use","the language, or an acceptable fallback value. languageFound = self._OobeHasOption(browser, 'language-select', region.language_code) if","('au', 'ca', 'nz', 'za'): return 'en-GB' return 'en-US' # No mapping found return","'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng',","= options.browser_options.password def _IsCryptohomeMounted(self): \"\"\"Returns True if cryptohome is mounted\"\"\" cryptohomeJSON, _ =","'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe',","The Chromium Authors. All rights reserved. # Use of this source code is","Use of this source code is governed by a BSD-style license that can","as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \"\"\"Tests autotestPrivate.logout\"\"\" with self._CreateBrowser(autotest_ext=True) as b:","_OobeHasOption(self, browser, selectId, value): hasOptionJs = ''' // Check that the option is","= self.Region('', '', '', '', '') initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale'])","= language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description = description or region_code self.notes = notes","_KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO,","US English language ' 'for neutrality. Use if there is a single combined","and Denmark. This defaults ' 'to Swedish keyboard layout, but starts with US","is True, also loads the autotest extension\"\"\" options = options_for_unittests.GetCopy() if autotest_ext: extension_path","'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'),","b = browser_to_create.Create() b.Start() return b def _GetAutotestExtension(self, browser): \"\"\"Returns the autotest extension","'Sweden', (\"Use this if there separate SKUs for Nordic countries (Sweden, \" \"Norway,","return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True): \"\"\"Finds and creates a browser","b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs')","'sv', _KML.ISO, 'Sweden', (\"Use this if there separate SKUs for Nordic countries (Sweden,","import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity)","browser.oobe.EvaluateJavaScript(\"typeof Oobe == 'function'\") and browser.oobe.EvaluateJavaScript( \"typeof Oobe.authenticateForTesting == 'function'\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser))","from telemetry.core.backends.chrome import cros_interface from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options","_KML.ISO, 'Nordics', ('Unified SKU for Sweden, Norway, and Denmark. This defaults ' 'to","+ xkb:ca::fra keyboard (ISO), ' 'defaulting to English language and keyboard. Used only","you probably don't want this. See \" \"http://goto/cros-canada\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO,","class Region(object): def __init__(self, region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code =","(multilingual)', (\"Canadian Multilingual keyboard; you probably don't want this. See \" \"http://goto/cros-canada\")), Region('de',","self.Region('', '', '', '', '') initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard,","browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login = auto_login b = browser_to_create.Create()","device is only shipping to Sweden. \" \"If there is a single unified","# To save time, region and initial_timezone are not set. vpd = {'initial_locale':","self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser):","is finished. Restore original region settings. self._SwitchRegion(initial_region) # The Region class and region","= region_code self.keyboard = keyboard self.time_zone = time_zone self.language_code = language_code self.keyboard_mechanical_layout =","'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'),","def testCryptohomeMounted(self): \"\"\"Verifies cryptohome mount status for regular and guest user and when","return extension def _GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof('chrome.autotestPrivate') != 'undefined'\")) extension.ExecuteJavaScript('''","import logging import os import unittest from telemetry.core import browser_finder from telemetry.core import","rights reserved. # Use of this source code is governed by a BSD-style","options = document.getElementById(selectId).options; for (var i = 0; i < options.length; i++) {","extension_to_load from telemetry.core import util from telemetry.core.backends.chrome import cros_interface from telemetry.unittest import options_for_unittests","'--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True): \"\"\"Finds","only read initial_locale and keyboard_layout. initial_region = self.Region('', '', '', '', '') initial_region.language_code,","files to clear initial locale info and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\ State']) self._cri.RunCmdOnDevice(['rm',","self._password = options.browser_options.password def _IsCryptohomeMounted(self): \"\"\"Returns True if cryptohome is mounted\"\"\" cryptohomeJSON, _","util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username,","def _GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \"typeof('chrome.autotestPrivate') != 'undefined'\")) extension.ExecuteJavaScript(''' window.__login_status =","\"If there is a single unified SKU, use 'nordic' instead.\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore',","return 'zh-CN' if lang == 'en': if region in ('au', 'ca', 'nz', 'za'):","LICENSE file. import json import logging import os import unittest from telemetry.core import","'function'\") and browser.oobe.EvaluateJavaScript( \"typeof Oobe.authenticateForTesting == 'function'\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser):","'keyboard_layout': region.keyboard} for (key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\"%s\"=\"%s\"' % (key, value)])","an acceptable fallback value. languageFound = self._OobeHasOption(browser, 'language-select', region.language_code) if not languageFound: fallback","(var i = 0; i < options.length; i++) { if (options[i].value == value)","and Denmark), or the device is only shipping to Sweden. \" \"If there","'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'), Region('us', 'xkb:us::eng', 'America/Los_Angeles', 'en-US', _KML.ANSI, 'United States'), ]","this if there separate SKUs for Nordic countries (Sweden, \" \"Norway, and Denmark),","settings. # To save time, only read initial_locale and keyboard_layout. initial_region = self.Region('',","= 0; i < options.length; i++) { if (options[i].value == value) { //","dropdown lists have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\"language-select\") != null'), 10) # Find","Oobe == 'function'\") and browser.oobe.EvaluateJavaScript( \"typeof Oobe.authenticateForTesting == 'function'\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def","\"\"\"Tests autotestPrivate.logout\"\"\" with self._CreateBrowser(autotest_ext=True) as b: extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException,","created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\"language-select\") != null'), 10) # Find the language, or an","if it is the default. (function hasOption(selectId, value, isDefault) { var options =","by a BSD-style license that can be # found in the LICENSE file.","'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US',","'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US keyboard)', 'Canada with US (ANSI) keyboard; see http://goto/cros-canada'),","in ('hk', 'mo'): return 'zh-TW' return 'zh-CN' if lang == 'en': if region","in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\"%s\"=\"%s\"' % (key, value)]) # Remove cached files to","firmware). # To save time, region and initial_timezone are not set. vpd =","def testOobeLocalization(self): \"\"\"Tests different region configurations at OOBE\"\"\" # Save the original device","selectId, value): hasOptionJs = ''' // Check that the option is present, and","option is present, and selected if it is the default. (function hasOption(selectId, value,","'--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser, selectId, value): hasOptionJs = ''' // Check","region == 'es': return 'es-419' if lang == 'zh': if region in ('hk',","language ' 'for neutrality. Use if there is a single combined SKU for","_KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US keyboard)', 'Canada with US","different region configurations at OOBE\"\"\" # Save the original device localization settings. #","== 'function'\") and browser.oobe.EvaluateJavaScript( \"typeof Oobe.authenticateForTesting == 'function'\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self,","Region class and region list will be available in regions.py. class Region(object): def","return b def _GetAutotestExtension(self, browser): \"\"\"Returns the autotest extension instance\"\"\" extension = browser.extensions[self._load_extension]","_KML.ISO, 'Sweden', (\"Use this if there separate SKUs for Nordic countries (Sweden, \"","'/home/chronos/Local\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser, selectId, value):","out\"\"\" with self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs)","_KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI,","for (key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\"%s\"=\"%s\"' % (key, value)]) # Remove","not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD (requires RW-enabled","self._CreateBrowser(autotest_ext=True) as b: extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda:","extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20)","'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \"\"\"Tests autotestPrivate.loginStatus\"\"\" with self._CreateBrowser(autotest_ext=True)","# Change VPD (requires RW-enabled firmware). # To save time, region and initial_timezone","} } return false; })(\"%s\", \"%s\", %s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId,","# Use of this source code is governed by a BSD-style license that","if lang == 'en': if region in ('au', 'ca', 'nz', 'za'): return 'en-GB'","'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng',","'zh-TW' return 'zh-CN' if lang == 'en': if region in ('au', 'ca', 'nz',","= [ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI,","existing locale. See ui/base/l10n/l10n_util.cc. lang, _, region = map(str.lower, locale.partition('-')) if not region:","as b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'],","return 'zh-TW' return 'zh-CN' if lang == 'en': if region in ('au', 'ca',","a single unified SKU, use 'nordic' instead.\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'),","' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)', (\"Canadian Multilingual keyboard; you","_KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO,","a single combined SKU for Nordic ' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO,","'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\"Use this if there separate SKUs for Nordic","'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US keyboard)', 'Canada with","Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic',","= self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def","browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking')","if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load","options.browser_options.username self._password = options.browser_options.password def _IsCryptohomeMounted(self): \"\"\"Returns True if cryptohome is mounted\"\"\" cryptohomeJSON,","_, region = map(str.lower, locale.partition('-')) if not region: return \"\" # Map from","to Sweden. \" \"If there is a single unified SKU, use 'nordic' instead.\")),","Find the language, or an acceptable fallback value. languageFound = self._OobeHasOption(browser, 'language-select', region.language_code)","and region == 'es': return 'es-419' if lang == 'zh': if region in","# Find the keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) # Test is finished.","Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\"Use this if there separate SKUs for","region settings. self._SwitchRegion(initial_region) # The Region class and region list will be available","self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else:","self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser):","autotestPrivate.logout\"\"\" with self._CreateBrowser(autotest_ext=True) as b: extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException):","self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' %","self._password)) util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \"\"\"Tests autotestPrivate.screenLock\"\"\" with self._CreateBrowser(autotest_ext=True) as","languageFound = self._OobeHasOption(browser, 'language-select', region.language_code) if not languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and","'Canada (US keyboard)', 'Canada with US (ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto',","json import logging import os import unittest from telemetry.core import browser_finder from telemetry.core","10) # Find the language, or an acceptable fallback value. languageFound = self._OobeHasOption(browser,","SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada with hybrid","'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)', (\"Canadian Multilingual keyboard; you probably don't want this.","self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self,","self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD (requires RW-enabled firmware).","self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username, self._password)) util.WaitFor(lambda:","' 'for neutrality. Use if there is a single combined SKU for Nordic","Change VPD (requires RW-enabled firmware). # To save time, region and initial_timezone are","value. languageFound = self._OobeHasOption(browser, 'language-select', region.language_code) if not languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback","SKUs for Nordic countries (Sweden, \" \"Norway, and Denmark), or the device is","only if there ' 'needs to be a single SKU for all of","are not set. vpd = {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for (key, value) in","''' return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value, 'true')) def _ResolveLanguage(self, locale): # If","b.Start() return b def _GetAutotestExtension(self, browser): \"\"\"Returns the autotest extension instance\"\"\" extension =","be a single SKU for all of Canada. See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra',","CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type","when logged out\"\"\" with self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs ="],"string":"[\n \"lang == 'es' and region == 'es': return 'es-419' if lang == 'zh':\",\n \"import cros_interface from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy()\",\n \"self._is_guest = options.browser_type == 'cros-chrome-guest' self._username = '' if self._is_guest else options.browser_options.username self._password\",\n \"= ''' // Check that the option is present, and selected if it\",\n \"\\\"\\\"\\\"Tests autotestPrivate.screenLock\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \\\"\\\"\\\"Tests autotestPrivate.logout\\\"\\\"\\\"\",\n \"an existing locale. See ui/base/l10n/l10n_util.cc. lang, _, region = map(str.lower, locale.partition('-')) if not\",\n \"def __getattr__(self, name): if name in self: return name raise AttributeError KeyboardMechanicalLayout =\",\n \"' 'Canadian French SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)',\",\n \"options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type == 'cros-chrome-guest' self._username = ''\",\n \"is the default. (function hasOption(selectId, value, isDefault) { var options = document.getElementById(selectId).options; for\",\n \"'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US keyboard)',\",\n \"see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French keyboard)', ('Canadian French (ISO)\",\n \"'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam',\",\n \"% (selectId, value, 'true')) def _ResolveLanguage(self, locale): # If the locale matches a\",\n \"for all of Canada. See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada\",\n \"'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified SKU for\",\n \"'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST = [ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'),\",\n \"lists have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\\\"language-select\\\") != null'), 10) # Find the\",\n \"French SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada with\",\n \"layout, but starts with US English language ' 'for neutrality. Use if there\",\n \"for (var i = 0; i < options.length; i++) { if (options[i].value ==\",\n \"keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French keyboard)', ('Canadian French\",\n \"the lock screen') def ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\\\"typeof Oobe == 'function'\\\") and\",\n \"and self._OobeHasOption(browser, 'language-select', fallback)) # Find the keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard))\",\n \"browser: # Ensure the dropdown lists have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\\\"language-select\\\") !=\",\n \"def testLogout(self): \\\"\\\"\\\"Tests autotestPrivate.logout\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b: extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();')\",\n \"http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French keyboard)', ('Canadian French (ISO) keyboard.\",\n \"os import unittest from telemetry.core import browser_finder from telemetry.core import exceptions from telemetry.core\",\n \"def _GetAutotestExtension(self, browser): \\\"\\\"\\\"Returns the autotest extension instance\\\"\\\"\\\" extension = browser.extensions[self._load_extension] self.assertTrue(extension) return\",\n \"import extension_to_load from telemetry.core import util from telemetry.core.backends.chrome import cros_interface from telemetry.unittest import\",\n \"def _IsCryptohomeMounted(self): \\\"\\\"\\\"Returns True if cryptohome is mounted\\\"\\\"\\\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status'])\",\n \"null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s; }); ''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10)\",\n \"extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop',\",\n \"options.browser_type == 'cros-chrome-guest' self._username = '' if self._is_guest else options.browser_options.username self._password = options.browser_options.password\",\n \"(requires RW-enabled firmware). # To save time, region and initial_timezone are not set.\",\n \"self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad password') def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript('''\",\n \"''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \\\"\\\"\\\"Verifies cryptohome mount status for\",\n \"to a localized country if lang == 'es' and region == 'es': return\",\n \"status for regular and guest user and when logged out\\\"\\\"\\\" with self._CreateBrowser() as\",\n \"self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description = description or region_code self.notes = notes class Enum(frozenset):\",\n \"self._username = '' if self._is_guest else options.browser_options.username self._password = options.browser_options.password def _IsCryptohomeMounted(self): \\\"\\\"\\\"Returns\",\n \"this source code is governed by a BSD-style license that can be #\",\n \"locale info and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start',\",\n \"options = options_for_unittests.GetCopy() if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path,\",\n \"def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' %\",\n \"matches a language but not the country, fall back to # an existing\",\n \"== 'cros-chrome-guest' self._username = '' if self._is_guest else options.browser_options.username self._password = options.browser_options.password def\",\n \"and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True): \\\"\\\"\\\"Finds and creates a browser for tests.\",\n \"browser_to_create.Create() b.Start() return b def _GetAutotestExtension(self, browser): \\\"\\\"\\\"Returns the autotest extension instance\\\"\\\"\\\" extension\",\n \"Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US keyboard)', 'Canada with US (ANSI) keyboard;\",\n \"xkb:ca::fra keyboard (ISO), ' 'defaulting to English language and keyboard. Used only if\",\n \"Save the original device localization settings. # To save time, only read initial_locale\",\n \"' 'defaulting to English language and keyboard. Used only if there ' 'needs\",\n \"keyboard; you probably don't want this. See \\\" \\\"http://goto/cros-canada\\\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de',\",\n \"loads the autotest extension\\\"\\\"\\\" options = options_for_unittests.GetCopy() if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext')\",\n \"self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser, selectId, value): hasOptionJs = ''' // Check that\",\n \"SKU for all of Canada. See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO,\",\n \"'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create = browser_finder.FindBrowser(options)\",\n \"in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser: # Ensure the dropdown lists have\",\n \"single SKU for all of Canada. See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA',\",\n \"to # an existing locale. See ui/base/l10n/l10n_util.cc. lang, _, region = map(str.lower, locale.partition('-'))\",\n \"See ui/base/l10n/l10n_util.cc. lang, _, region = map(str.lower, locale.partition('-')) if not region: return \\\"\\\"\",\n \"_GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof('chrome.autotestPrivate') != 'undefined'\\\")) extension.ExecuteJavaScript(''' window.__login_status = null;\",\n \"'keyboard-select', region.keyboard)) # Test is finished. Restore original region settings. self._SwitchRegion(initial_region) # The\",\n \"browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \\\"\\\"\\\"Tests autotestPrivate.logout\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b: extension\",\n \"'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris',\",\n \"setUp(self): options = options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type == 'cros-chrome-guest'\",\n \"browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser))\",\n \"'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s',\",\n \"and initial_timezone are not set. vpd = {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for (key,\",\n \"else options.browser_options.username self._password = options.browser_options.password def _IsCryptohomeMounted(self): \\\"\\\"\\\"Returns True if cryptohome is mounted\\\"\\\"\\\"\",\n \"to clear initial locale info and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed'])\",\n \"try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region):\",\n \"'ui']) def _OobeHasOption(self, browser, selectId, value): hasOptionJs = ''' // Check that the\",\n \"s; }); ''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \\\"\\\"\\\"Verifies cryptohome mount\",\n \"!= 'undefined'\\\")) extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s; }); ''')\",\n \"fall back to # an existing locale. See ui/base/l10n/l10n_util.cc. lang, _, region =\",\n \"initial locale info and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force'])\",\n \"Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie',\",\n \"(French keyboard)', ('Canadian French (ISO) keyboard. The most common configuration for ' 'Canadian\",\n \"_ResolveLanguage(self, locale): # If the locale matches a language but not the country,\",\n \"at OOBE\\\"\\\"\\\" # Save the original device localization settings. # To save time,\",\n \"localization settings. # To save time, only read initial_locale and keyboard_layout. initial_region =\",\n \"= keyboard self.time_zone = time_zone self.language_code = language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description =\",\n \"} return false; })(\\\"%s\\\", \\\"%s\\\", %s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value,\",\n \"= {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for (key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\\\"%s\\\"=\\\"%s\\\"'\",\n \"keyboard self.time_zone = time_zone self.language_code = language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description = description\",\n \"the locale matches a language but not the country, fall back to #\",\n \"'en-US' # No mapping found return \\\"\\\" def testOobeLocalization(self): \\\"\\\"\\\"Tests different region configurations\",\n \"var options = document.getElementById(selectId).options; for (var i = 0; i < options.length; i++)\",\n \"cryptohome is mounted\\\"\\\"\\\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts']\",\n \"and selected if it is the default. (function hasOption(selectId, value, isDefault) { var\",\n \"logging.info('Waiting for the lock screen') def ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\\\"typeof Oobe ==\",\n \"chrome.autotestPrivate.lockScreen == 'function'\\\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock screen') def ScreenLocked():\",\n \"The option is present. Make sure it's selected if necessary. return !isDefault ||\",\n \"region = map(str.lower, locale.partition('-')) if not region: return \\\"\\\" # Map from other\",\n \"available in regions.py. class Region(object): def __init__(self, region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None,\",\n \"== 'function'\\\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock screen') def ScreenLocked(): return\",\n \"the country, fall back to # an existing locale. See ui/base/l10n/l10n_util.cc. lang, _,\",\n \"from telemetry.core import extension_to_load from telemetry.core import util from telemetry.core.backends.chrome import cros_interface from\",\n \"it is the default. (function hasOption(selectId, value, isDefault) { var options = document.getElementById(selectId).options;\",\n \"browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username, self._password)) util.WaitFor(lambda: not browser.oobe, 10)\",\n \"browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof('chrome.autotestPrivate') != 'undefined'\\\")) extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s)\",\n \"browser for tests. if autotest_ext is True, also loads the autotest extension\\\"\\\"\\\" options\",\n \"= self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof('chrome.autotestPrivate') != 'undefined'\\\")) extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status\",\n \"value, 'true')) def _ResolveLanguage(self, locale): # If the locale matches a language but\",\n \"Find the keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) # Test is finished. Restore\",\n \"def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username, self._password)) util.WaitFor(lambda: not\",\n \"If the locale matches a language but not the country, fall back to\",\n \"with self._CreateBrowser(autotest_ext=True) as b: extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass\",\n \"'Canadian French SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada\",\n \"logging.info('Trying a bad password') def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript('''\",\n \"self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser):\",\n \"region.language_code) if not languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback)) #\",\n \"regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser,\",\n \"country, fall back to # an existing locale. See ui/base/l10n/l10n_util.cc. lang, _, region\",\n \"self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \\\"\\\"\\\"Tests autotestPrivate.logout\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as\",\n \"locale. See ui/base/l10n/l10n_util.cc. lang, _, region = map(str.lower, locale.partition('-')) if not region: return\",\n \"region in ('hk', 'mo'): return 'zh-TW' return 'zh-CN' if lang == 'en': if\",\n \"login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser))\",\n \"# No mapping found return \\\"\\\" def testOobeLocalization(self): \\\"\\\"\\\"Tests different region configurations at\",\n \"region_code self.notes = notes class Enum(frozenset): def __getattr__(self, name): if name in self:\",\n \"self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser, selectId, value): hasOptionJs = ''' //\",\n \"i++) { if (options[i].value == value) { // The option is present. Make\",\n \"with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \\\"\\\"\\\"Tests autotestPrivate.logout\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True)\",\n \"regions.py. class Region(object): def __init__(self, region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code\",\n \"= self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False,\",\n \"self._CreateBrowser(autotest_ext=True) as b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest'])\",\n \"= auto_login b = browser_to_create.Create() b.Start() return b def _GetAutotestExtension(self, browser): \\\"\\\"\\\"Returns the\",\n \"back to # an existing locale. See ui/base/l10n/l10n_util.cc. lang, _, region = map(str.lower,\",\n \"= KeyboardMechanicalLayout REGIONS_LIST = [ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng',\",\n \"'fr-CA', _KML.ISO, 'Canada (multilingual)', (\\\"Canadian Multilingual keyboard; you probably don't want this. See\",\n \"\\\"\\\"\\\"Tests autotestPrivate.loginStatus\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest,\",\n \"locale matches a language but not the country, fall back to # an\",\n \"to English language and keyboard. Used only if there ' 'needs to be\",\n \"with self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if\",\n \"found return \\\"\\\" def testOobeLocalization(self): \\\"\\\"\\\"Tests different region configurations at OOBE\\\"\\\"\\\" # Save\",\n \"Oobe.authenticateForTesting == 'function'\\\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad password')\",\n \"description=None, notes=None): self.region_code = region_code self.keyboard = keyboard self.time_zone = time_zone self.language_code =\",\n \"'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada with hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard\",\n \"Swedish keyboard layout, but starts with US English language ' 'for neutrality. Use\",\n \"extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof('chrome.autotestPrivate') != 'undefined'\\\")) extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) {\",\n \"= self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def\",\n \"unittest from telemetry.core import browser_finder from telemetry.core import exceptions from telemetry.core import extension_to_load\",\n \"Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my',\",\n \"# The Region class and region list will be available in regions.py. class\",\n \"name): if name in self: return name raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO',\",\n \"= browser_to_create.Create() b.Start() return b def _GetAutotestExtension(self, browser): \\\"\\\"\\\"Returns the autotest extension instance\\\"\\\"\\\"\",\n \"region: return \\\"\\\" # Map from other countries to a localized country if\",\n \"with US English language ' 'for neutrality. Use if there is a single\",\n \"_ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self,\",\n \"''' % self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s');\",\n \"(key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\\\"%s\\\"=\\\"%s\\\"' % (key, value)]) # Remove cached\",\n \"(options[i].value == value) { // The option is present. Make sure it's selected\",\n \"initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd', '-g',\",\n \"configuration for ' 'Canadian French SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO,\",\n \"name raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST\",\n \"'') initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd',\",\n \"options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login = auto_login b = browser_to_create.Create() b.Start() return b def\",\n \"document.getElementById(selectId).options; for (var i = 0; i < options.length; i++) { if (options[i].value\",\n \"lock screen') def ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\\\"typeof Oobe == 'function'\\\") and browser.oobe.EvaluateJavaScript(\",\n \"'nz', 'za'): return 'en-GB' return 'en-US' # No mapping found return \\\"\\\" def\",\n \"_IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof\",\n \"'/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser, selectId, value): hasOptionJs = '''\",\n \"' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\\\"Use this if there separate\",\n \"import os import unittest from telemetry.core import browser_finder from telemetry.core import exceptions from\",\n \"region and initial_timezone are not set. vpd = {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for\",\n \"self.assertTrue(extension) return extension def _GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof('chrome.autotestPrivate') != 'undefined'\\\"))\",\n \"KeyboardMechanicalLayout REGIONS_LIST = [ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto',\",\n \"necessary. return !isDefault || options.selectedIndex == i; } } return false; })(\\\"%s\\\", \\\"%s\\\",\",\n \"20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD (requires RW-enabled firmware). #\",\n \"_KML.ISO, 'Canada (multilingual)', (\\\"Canadian Multilingual keyboard; you probably don't want this. See \\\"\",\n \"map(str.lower, locale.partition('-')) if not region: return \\\"\\\" # Map from other countries to\",\n \"and keyboard_layout. initial_region = self.Region('', '', '', '', '') initial_region.language_code, _ = self._cri.RunCmdOnDevice(\",\n \"# To save time, only read initial_locale and keyboard_layout. initial_region = self.Region('', '',\",\n \"'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified SKU for Sweden,\",\n \"and guest user and when logged out\\\"\\\"\\\" with self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs))\",\n \"Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada with hybrid xkb:ca:eng:eng + xkb:ca::fra\",\n \"fallback)) # Find the keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) # Test is\",\n \"single combined SKU for Nordic ' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden',\",\n \"True options.browser_options.auto_login = auto_login b = browser_to_create.Create() b.Start() return b def _GetAutotestExtension(self, browser):\",\n \"is governed by a BSD-style license that can be # found in the\",\n \"= self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof chrome.autotestPrivate.lockScreen == 'function'\\\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the\",\n \"with US (ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French\",\n \"home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self):\",\n \"keyboard)', 'Canada with US (ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO,\",\n \"import json import logging import os import unittest from telemetry.core import browser_finder from\",\n \"initial_locale and keyboard_layout. initial_region = self.Region('', '', '', '', '') initial_region.language_code, _ =\",\n \"region in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser: # Ensure the dropdown lists\",\n \"(\\\"Canadian Multilingual keyboard; you probably don't want this. See \\\" \\\"http://goto/cros-canada\\\")), Region('de', 'xkb:de::ger',\",\n \"'en-US', _KML.ISO, 'Nordics', ('Unified SKU for Sweden, Norway, and Denmark. This defaults '\",\n \"' 'to Swedish keyboard layout, but starts with US English language ' 'for\",\n \"i = 0; i < options.length; i++) { if (options[i].value == value) {\",\n \"(self._username, self._password)) util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \\\"\\\"\\\"Tests autotestPrivate.screenLock\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True)\",\n \"localized country if lang == 'es' and region == 'es': return 'es-419' if\",\n \"import browser_finder from telemetry.core import exceptions from telemetry.core import extension_to_load from telemetry.core import\",\n \"\\\"\\\"\\\"Returns True if cryptohome is mounted\\\"\\\"\\\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus =\",\n \"US (ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French keyboard)',\",\n \"Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French keyboard)', ('Canadian French (ISO) keyboard. The\",\n \"Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr',\",\n \"combined SKU for Nordic ' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\\\"Use\",\n \"keyboard (ISO), ' 'defaulting to English language and keyboard. Used only if there\",\n \"_KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI,\",\n \"('Unified SKU for Sweden, Norway, and Denmark. This defaults ' 'to Swedish keyboard\",\n \"'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB',\",\n \"import unittest from telemetry.core import browser_finder from telemetry.core import exceptions from telemetry.core import\",\n \"the keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) # Test is finished. Restore original\",\n \"autotest_ext=False, auto_login=True): \\\"\\\"\\\"Finds and creates a browser for tests. if autotest_ext is True,\",\n \"'-g', 'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for region in self.REGIONS_LIST:\",\n \"finished. Restore original region settings. self._SwitchRegion(initial_region) # The Region class and region list\",\n \"'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta',\",\n \"login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self,\",\n \"def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript(\",\n \"if region in ('au', 'ca', 'nz', 'za'): return 'en-GB' return 'en-US' # No\",\n \"\\\"\\\" def testOobeLocalization(self): \\\"\\\"\\\"Tests different region configurations at OOBE\\\"\\\"\\\" # Save the original\",\n \"'mo'): return 'zh-TW' return 'zh-CN' if lang == 'en': if region in ('au',\",\n \"or region_code self.notes = notes class Enum(frozenset): def __getattr__(self, name): if name in\",\n \"of Canada. See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)', (\\\"Canadian\",\n \"Chromium Authors. All rights reserved. # Use of this source code is governed\",\n \"return 'en-GB' return 'en-US' # No mapping found return \\\"\\\" def testOobeLocalization(self): \\\"\\\"\\\"Tests\",\n \"in regions.py. class Region(object): def __init__(self, region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None):\",\n \"English language ' 'for neutrality. Use if there is a single combined SKU\",\n \"'', '') initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice(\",\n \"self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest:\",\n \"language, or an acceptable fallback value. languageFound = self._OobeHasOption(browser, 'language-select', region.language_code) if not\",\n \"def ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\\\"typeof Oobe == 'function'\\\") and browser.oobe.EvaluateJavaScript( \\\"typeof Oobe.authenticateForTesting\",\n \"value, isDefault) { var options = document.getElementById(selectId).options; for (var i = 0; i\",\n \"mounted\\\"\\\"\\\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted'])\",\n \"# If the locale matches a language but not the country, fall back\",\n \"'', '', '', '') initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard, _\",\n \"if lang == 'es' and region == 'es': return 'es-419' if lang ==\",\n \"options.length; i++) { if (options[i].value == value) { // The option is present.\",\n \"'undefined'\\\")) extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s; }); ''') return\",\n \"The Region class and region list will be available in regions.py. class Region(object):\",\n \"Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified\",\n \"extension\\\"\\\"\\\" options = options_for_unittests.GetCopy() if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad(\",\n \"guest user and when logged out\\\"\\\"\\\" with self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url)\",\n \"' 'needs to be a single SKU for all of Canada. See '\",\n \"Norway, and Denmark. This defaults ' 'to Swedish keyboard layout, but starts with\",\n \"a browser for tests. if autotest_ext is True, also loads the autotest extension\\\"\\\"\\\"\",\n \"State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser, selectId, value): hasOptionJs\",\n \"% self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); '''\",\n \"not languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback)) # Find the\",\n \"# an existing locale. See ui/base/l10n/l10n_util.cc. lang, _, region = map(str.lower, locale.partition('-')) if\",\n \"See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)', (\\\"Canadian Multilingual keyboard;\",\n \"self.time_zone = time_zone self.language_code = language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description = description or\",\n \"neutrality. Use if there is a single combined SKU for Nordic ' 'countries.')),\",\n \"= document.getElementById(selectId).options; for (var i = 0; i < options.length; i++) { if\",\n \"there separate SKUs for Nordic countries (Sweden, \\\" \\\"Norway, and Denmark), or the\",\n \"and region list will be available in regions.py. class Region(object): def __init__(self, region_code,\",\n \"'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST = [ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI,\",\n \"fallback value. languageFound = self._OobeHasOption(browser, 'language-select', region.language_code) if not languageFound: fallback = self._ResolveLanguage(region.language_code)\",\n \"self.assertEquals(chronos_fs, 'guestfs') else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'),\",\n \"('Canada with hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO), ' 'defaulting to English language\",\n \"(exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) #\",\n \"options.selectedIndex == i; } } return false; })(\\\"%s\\\", \\\"%s\\\", %s); ''' return browser.oobe.EvaluateJavaScript(\",\n \"the LICENSE file. import json import logging import os import unittest from telemetry.core\",\n \"# Copyright (c) 2012 The Chromium Authors. All rights reserved. # Use of\",\n \"with hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO), ' 'defaulting to English language and\",\n \"_KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI,\",\n \"self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def\",\n \"extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof chrome.autotestPrivate.lockScreen == 'function'\\\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for\",\n \"all of Canada. See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)',\",\n \"options = options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type == 'cros-chrome-guest' self._username\",\n \"autotest extension instance\\\"\\\"\\\" extension = browser.extensions[self._load_extension] self.assertTrue(extension) return extension def _GetLoginStatus(self, browser): extension\",\n \"util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \\\"\\\"\\\"Verifies cryptohome mount status for regular and\",\n \"self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension\",\n \"of this source code is governed by a BSD-style license that can be\",\n \"from telemetry.core import exceptions from telemetry.core import extension_to_load from telemetry.core import util from\",\n \"autotest_ext is True, also loads the autotest extension\\\"\\\"\\\" options = options_for_unittests.GetCopy() if autotest_ext:\",\n \"'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US keyboard)', 'Canada with US (ANSI) keyboard; see\",\n \"autotestPrivate.loginStatus\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser'])\",\n \"in self: return name raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML\",\n \"hasOptionJs % (selectId, value, 'true')) def _ResolveLanguage(self, locale): # If the locale matches\",\n \"Nordic ' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\\\"Use this if there\",\n \"class and region list will be available in regions.py. class Region(object): def __init__(self,\",\n \"instead.\\\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'), Region('us', 'xkb:us::eng', 'America/Los_Angeles', 'en-US', _KML.ANSI, 'United\",\n \"defaults ' 'to Swedish keyboard layout, but starts with US English language '\",\n \"'cros-chrome-guest' self._username = '' if self._is_guest else options.browser_options.username self._password = options.browser_options.password def _IsCryptohomeMounted(self):\",\n \"with self._CreateBrowser(autotest_ext=True) as b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest,\",\n \"self._SwitchRegion(initial_region) # The Region class and region list will be available in regions.py.\",\n \"self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \\\"\\\"\\\"Tests autotestPrivate.loginStatus\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b: login_status =\",\n \"'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur',\",\n \"'en-GB' return 'en-US' # No mapping found return \\\"\\\" def testOobeLocalization(self): \\\"\\\"\\\"Tests different\",\n \"# Ensure the dropdown lists have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\\\"language-select\\\") != null'),\",\n \"10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad password') def ErrorBubbleVisible(): return not\",\n \"probably don't want this. See \\\" \\\"http://goto/cros-canada\\\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'),\",\n \"self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type == 'cros-chrome-guest' self._username = '' if\",\n \"browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login\",\n \"extension = browser.extensions[self._load_extension] self.assertTrue(extension) return extension def _GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript(\",\n \"'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng',\",\n \"self._is_guest else options.browser_options.username self._password = options.browser_options.password def _IsCryptohomeMounted(self): \\\"\\\"\\\"Returns True if cryptohome is\",\n \"telemetry.core.backends.chrome import cros_interface from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options =\",\n \"_KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified SKU for Sweden, Norway,\",\n \"self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \\\"\\\"\\\"Tests autotestPrivate.logout\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b: extension = self._GetAutotestExtension(b)\",\n \"self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked']\",\n \"also loads the autotest extension\\\"\\\"\\\" options = options_for_unittests.GetCopy() if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__),\",\n \"self._CreateBrowser(auto_login=False) as browser: # Ensure the dropdown lists have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript(\",\n \"French (ISO) keyboard. The most common configuration for ' 'Canadian French SKUs. See\",\n \"'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)', (\\\"Canadian Multilingual keyboard; you probably don't want\",\n \"# Remove cached files to clear initial locale info and force regeneration. self._cri.RunCmdOnDevice(['rm',\",\n \"is only shipping to Sweden. \\\" \\\"If there is a single unified SKU,\",\n \"testLoginStatus(self): \\\"\\\"\\\"Tests autotestPrivate.loginStatus\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not\",\n \"null'), 10) # Find the language, or an acceptable fallback value. languageFound =\",\n \"{ // The option is present. Make sure it's selected if necessary. return\",\n \"or an acceptable fallback value. languageFound = self._OobeHasOption(browser, 'language-select', region.language_code) if not languageFound:\",\n \"'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada with hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO),\",\n \"if lang == 'zh': if region in ('hk', 'mo'): return 'zh-TW' return 'zh-CN'\",\n \"__init__(self, region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code = region_code self.keyboard =\",\n \"_SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD (requires RW-enabled firmware). # To save\",\n \"SKU for Nordic ' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\\\"Use this\",\n \"(\\\"Use this if there separate SKUs for Nordic countries (Sweden, \\\" \\\"Norway, and\",\n \"|| options.selectedIndex == i; } } return false; })(\\\"%s\\\", \\\"%s\\\", %s); ''' return\",\n \"Copyright (c) 2012 The Chromium Authors. All rights reserved. # Use of this\",\n \"is present. Make sure it's selected if necessary. return !isDefault || options.selectedIndex ==\",\n \"\\\"\\\"\\\"Returns the autotest extension instance\\\"\\\"\\\" extension = browser.extensions[self._load_extension] self.assertTrue(extension) return extension def _GetLoginStatus(self,\",\n \"auto_login b = browser_to_create.Create() b.Start() return b def _GetAutotestExtension(self, browser): \\\"\\\"\\\"Returns the autotest\",\n \"and keyboard. Used only if there ' 'needs to be a single SKU\",\n \"class Enum(frozenset): def __getattr__(self, name): if name in self: return name raise AttributeError\",\n \"cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def\",\n \"info and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui'])\",\n \"from other countries to a localized country if lang == 'es' and region\",\n \"document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def\",\n \"def setUp(self): options = options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type ==\",\n \"the device is only shipping to Sweden. \\\" \\\"If there is a single\",\n \"# found in the LICENSE file. import json import logging import os import\",\n \"keyboard_mechanical_layout, description=None, notes=None): self.region_code = region_code self.keyboard = keyboard self.time_zone = time_zone self.language_code\",\n \"cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True): \\\"\\\"\\\"Finds and creates a browser for tests. if\",\n \"'Canada (hybrid)', ('Canada with hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO), ' 'defaulting to\",\n \"extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock screen') def ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\\\"typeof Oobe\",\n \"chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path',\",\n \"options_for_unittests.GetCopy() if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True)\",\n \"sure it's selected if necessary. return !isDefault || options.selectedIndex == i; } }\",\n \"keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code = region_code self.keyboard = keyboard self.time_zone\",\n \"'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr',\",\n \"is a single unified SKU, use 'nordic' instead.\\\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI,\",\n \"that the option is present, and selected if it is the default. (function\",\n \"logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username, self._password)) util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser))\",\n \"ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\\\"typeof Oobe == 'function'\\\") and browser.oobe.EvaluateJavaScript( \\\"typeof Oobe.authenticateForTesting ==\",\n \"['vpd', '-g', 'keyboard_layout']) for region in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser: #\",\n \"save time, region and initial_timezone are not set. vpd = {'initial_locale': region.language_code, 'keyboard_layout':\",\n \"ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username)\",\n \"for Nordic ' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\\\"Use this if\",\n \"region.language_code, 'keyboard_layout': region.keyboard} for (key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\\\"%s\\\"=\\\"%s\\\"' % (key,\",\n \"self._cri.RunCmdOnDevice(['vpd', '-s', '\\\"%s\\\"=\\\"%s\\\"' % (key, value)]) # Remove cached files to clear initial\",\n \"return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \\\"\\\"\\\"Verifies cryptohome mount status for regular\",\n \"== 'en': if region in ('au', 'ca', 'nz', 'za'): return 'en-GB' return 'en-US'\",\n \"self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof('chrome.autotestPrivate') != 'undefined'\\\")) extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status =\",\n \"browser.oobe.EvaluateJavaScript( \\\"typeof Oobe.authenticateForTesting == 'function'\\\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a\",\n \"= time_zone self.language_code = language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description = description or region_code\",\n \"= cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type == 'cros-chrome-guest' self._username = '' if self._is_guest\",\n \"'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'),\",\n \"'defaulting to English language and keyboard. Used only if there ' 'needs to\",\n \"lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \\\"\\\"\\\"Verifies cryptohome mount status for regular and guest\",\n \"'' if self._is_guest else options.browser_options.username self._password = options.browser_options.password def _IsCryptohomeMounted(self): \\\"\\\"\\\"Returns True if\",\n \"% (key, value)]) # Remove cached files to clear initial locale info and\",\n \"def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof chrome.autotestPrivate.lockScreen == 'function'\\\")) logging.info('Locking\",\n \"region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD (requires RW-enabled firmware). # To save time,\",\n \"for ' 'Canadian French SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada\",\n \"== 'es' and region == 'es': return 'es-419' if lang == 'zh': if\",\n \"'ISO', 'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST = [ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU',\",\n \"class CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest =\",\n \"\\\"\\\"\\\"Tests different region configurations at OOBE\\\"\\\"\\\" # Save the original device localization settings.\",\n \"'es-419' if lang == 'zh': if region in ('hk', 'mo'): return 'zh-TW' return\",\n \"self.language_code = language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description = description or region_code self.notes =\",\n \"is present, and selected if it is the default. (function hasOption(selectId, value, isDefault)\",\n \"selected if necessary. return !isDefault || options.selectedIndex == i; } } return false;\",\n \"return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value, 'true')) def _ResolveLanguage(self, locale): # If the\",\n \"region.keyboard)) # Test is finished. Restore original region settings. self._SwitchRegion(initial_region) # The Region\",\n \"Multilingual keyboard; you probably don't want this. See \\\" \\\"http://goto/cros-canada\\\")), Region('de', 'xkb:de::ger', 'Europe/Berlin',\",\n \"'function'\\\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock screen') def ScreenLocked(): return (browser.oobe\",\n \"auto_login=True): \\\"\\\"\\\"Finds and creates a browser for tests. if autotest_ext is True, also\",\n \"if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs)\",\n \"< options.length; i++) { if (options[i].value == value) { // The option is\",\n \"mapping found return \\\"\\\" def testOobeLocalization(self): \\\"\\\"\\\"Tests different region configurations at OOBE\\\"\\\"\\\" #\",\n \"'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London',\",\n \"'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US',\",\n \"self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create)\",\n \"if self._is_guest else options.browser_options.username self._password = options.browser_options.password def _IsCryptohomeMounted(self): \\\"\\\"\\\"Returns True if cryptohome\",\n \"time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code = region_code self.keyboard = keyboard self.time_zone =\",\n \"starts with US English language ' 'for neutrality. Use if there is a\",\n \"if there is a single combined SKU for Nordic ' 'countries.')), Region('se', 'xkb:se::swe',\",\n \"cryptohome mount status for regular and guest user and when logged out\\\"\\\"\\\" with\",\n \"''' % (self._username, self._password)) util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \\\"\\\"\\\"Tests autotestPrivate.screenLock\\\"\\\"\\\"\",\n \"'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\\\"Use this if there separate SKUs for Nordic countries\",\n \"self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) # Test is finished. Restore original region settings. self._SwitchRegion(initial_region)\",\n \"'nordic' instead.\\\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'), Region('us', 'xkb:us::eng', 'America/Los_Angeles', 'en-US', _KML.ANSI,\",\n \"return false; })(\\\"%s\\\", \\\"%s\\\", %s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value, 'true'))\",\n \"self.region_code = region_code self.keyboard = keyboard self.time_zone = time_zone self.language_code = language_code self.keyboard_mechanical_layout\",\n \"'Canada with US (ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada\",\n \"telemetry.core import extension_to_load from telemetry.core import util from telemetry.core.backends.chrome import cros_interface from telemetry.unittest\",\n \"for regular and guest user and when logged out\\\"\\\"\\\" with self._CreateBrowser() as b:\",\n \"a single SKU for all of Canada. See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto',\",\n \"_IsCryptohomeMounted(self): \\\"\\\"\\\"Returns True if cryptohome is mounted\\\"\\\"\\\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus\",\n \"= keyboard_mechanical_layout self.description = description or region_code self.notes = notes class Enum(frozenset): def\",\n \"default. (function hasOption(selectId, value, isDefault) { var options = document.getElementById(selectId).options; for (var i\",\n \"'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified SKU for Sweden, Norway, and Denmark. This defaults\",\n \"cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True): \\\"\\\"\\\"Finds and\",\n \"found in the LICENSE file. import json import logging import os import unittest\",\n \"self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \\\"\\\"\\\"Tests autotestPrivate.loginStatus\\\"\\\"\\\" with\",\n \"browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof chrome.autotestPrivate.lockScreen\",\n \"xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO), ' 'defaulting to English language and keyboard. Used\",\n \"Used only if there ' 'needs to be a single SKU for all\",\n \"region list will be available in regions.py. class Region(object): def __init__(self, region_code, keyboard,\",\n \"def __init__(self, region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code = region_code self.keyboard\",\n \"want this. See \\\" \\\"http://goto/cros-canada\\\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin',\",\n \"Region(object): def __init__(self, region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code = region_code\",\n \"don't want this. See \\\" \\\"http://goto/cros-canada\\\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi',\",\n \"original device localization settings. # To save time, only read initial_locale and keyboard_layout.\",\n \"b def _GetAutotestExtension(self, browser): \\\"\\\"\\\"Returns the autotest extension instance\\\"\\\"\\\" extension = browser.extensions[self._load_extension] self.assertTrue(extension)\",\n \"tests. if autotest_ext is True, also loads the autotest extension\\\"\\\"\\\" options = options_for_unittests.GetCopy()\",\n \"chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \\\"\\\"\\\"Tests autotestPrivate.loginStatus\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b: login_status\",\n \"!= null'), 10) # Find the language, or an acceptable fallback value. languageFound\",\n \"__getattr__(self, name): if name in self: return name raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI',\",\n \"as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs,\",\n \"'/dev/mapper/encstateful') def testLoginStatus(self): \\\"\\\"\\\"Tests autotestPrivate.loginStatus\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status),\",\n \"'za'): return 'en-GB' return 'en-US' # No mapping found return \\\"\\\" def testOobeLocalization(self):\",\n \"'document.getElementById(\\\"language-select\\\") != null'), 10) # Find the language, or an acceptable fallback value.\",\n \"countries (Sweden, \\\" \\\"Norway, and Denmark), or the device is only shipping to\",\n \"except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui'])\",\n \"_GetAutotestExtension(self, browser): \\\"\\\"\\\"Returns the autotest extension instance\\\"\\\"\\\" extension = browser.extensions[self._load_extension] self.assertTrue(extension) return extension\",\n \"i; } } return false; })(\\\"%s\\\", \\\"%s\\\", %s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs %\",\n \"'', '', '') initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard, _ =\",\n \"'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)', (\\\"Canadian Multilingual keyboard; you probably\",\n \"json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True): \\\"\\\"\\\"Finds and creates a\",\n \"Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb',\",\n \"cros_interface from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy() self._cri\",\n \"bad password') def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad');\",\n \"locale.partition('-')) if not region: return \\\"\\\" # Map from other countries to a\",\n \"countries to a localized country if lang == 'es' and region == 'es':\",\n \"is mounted\\\"\\\"\\\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and\",\n \"self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \\\"\\\"\\\"Tests autotestPrivate.screenLock\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def\",\n \"= null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s; }); ''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'),\",\n \"'es': return 'es-419' if lang == 'zh': if region in ('hk', 'mo'): return\",\n \"Make sure it's selected if necessary. return !isDefault || options.selectedIndex == i; }\",\n \"== i; } } return false; })(\\\"%s\\\", \\\"%s\\\", %s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs\",\n \"self._OobeHasOption(browser, 'language-select', fallback)) # Find the keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) #\",\n \"(Sweden, \\\" \\\"Norway, and Denmark), or the device is only shipping to Sweden.\",\n \"'en': if region in ('au', 'ca', 'nz', 'za'): return 'en-GB' return 'en-US' #\",\n \"if name in self: return name raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS',\",\n \"'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm',\",\n \"time, only read initial_locale and keyboard_layout. initial_region = self.Region('', '', '', '', '')\",\n \"self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof chrome.autotestPrivate.lockScreen == 'function'\\\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting\",\n \"self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser, selectId,\",\n \"_KML.ANSI, 'Canada (US keyboard)', 'Canada with US (ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra',\",\n \"logged out\\\"\\\"\\\" with self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user')\",\n \"self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \\\"\\\"\\\"Tests autotestPrivate.loginStatus\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b: login_status = self._GetLoginStatus(b)\",\n \"'language-select', fallback)) # Find the keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) # Test\",\n \"The most common configuration for ' 'Canadian French SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng',\",\n \"a language but not the country, fall back to # an existing locale.\",\n \"not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible, 10)\",\n \"'-g', 'keyboard_layout']) for region in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser: # Ensure\",\n \"logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock screen') def ScreenLocked(): return (browser.oobe and\",\n \"this. See \\\" \\\"http://goto/cros-canada\\\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki',\",\n \"options.browser_options.auto_login = auto_login b = browser_to_create.Create() b.Start() return b def _GetAutotestExtension(self, browser): \\\"\\\"\\\"Returns\",\n \"_UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username, self._password)) util.WaitFor(lambda: not browser.oobe,\",\n \"# Find the language, or an acceptable fallback value. languageFound = self._OobeHasOption(browser, 'language-select',\",\n \"separate SKUs for Nordic countries (Sweden, \\\" \\\"Norway, and Denmark), or the device\",\n \"\\\" \\\"If there is a single unified SKU, use 'nordic' instead.\\\")), Region('sg', 'xkb:us::eng',\",\n \"clear initial locale info and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log',\",\n \"be # found in the LICENSE file. import json import logging import os\",\n \"util from telemetry.core.backends.chrome import cros_interface from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self):\",\n \"and when logged out\\\"\\\"\\\" with self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs\",\n \"been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\\\"language-select\\\") != null'), 10) # Find the language, or\",\n \"'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified SKU\",\n \"initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for region in self.REGIONS_LIST: self._SwitchRegion(region) with\",\n \"= json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True): \\\"\\\"\\\"Finds and creates\",\n \"Test is finished. Restore original region settings. self._SwitchRegion(initial_region) # The Region class and\",\n \"vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\\\"%s\\\"=\\\"%s\\\"' % (key, value)]) # Remove cached files to clear\",\n \"BSD-style license that can be # found in the LICENSE file. import json\",\n \"% (self._username, self._password)) util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \\\"\\\"\\\"Tests autotestPrivate.screenLock\\\"\\\"\\\" with\",\n \"\\\"\\\"\\\"Verifies cryptohome mount status for regular and guest user and when logged out\\\"\\\"\\\"\",\n \"// Check that the option is present, and selected if it is the\",\n \"the default. (function hasOption(selectId, value, isDefault) { var options = document.getElementById(selectId).options; for (var\",\n \"region.keyboard} for (key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\\\"%s\\\"=\\\"%s\\\"' % (key, value)]) #\",\n \"(cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True): \\\"\\\"\\\"Finds and creates a browser for\",\n \"and browser.oobe.EvaluateJavaScript(\\\"typeof Oobe == 'function'\\\") and browser.oobe.EvaluateJavaScript( \\\"typeof Oobe.authenticateForTesting == 'function'\\\")) util.WaitFor(ScreenLocked, 10)\",\n \"def testScreenLock(self): \\\"\\\"\\\"Tests autotestPrivate.screenLock\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self):\",\n \"the original device localization settings. # To save time, only read initial_locale and\",\n \"[self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login = auto_login b =\",\n \"def _CreateBrowser(self, autotest_ext=False, auto_login=True): \\\"\\\"\\\"Finds and creates a browser for tests. if autotest_ext\",\n \"will be available in regions.py. class Region(object): def __init__(self, region_code, keyboard, time_zone, language_code,\",\n \"Sweden, Norway, and Denmark. This defaults ' 'to Swedish keyboard layout, but starts\",\n \"keyboard layout, but starts with US English language ' 'for neutrality. Use if\",\n \"\\\"typeof chrome.autotestPrivate.lockScreen == 'function'\\\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock screen') def\",\n \"'for neutrality. Use if there is a single combined SKU for Nordic '\",\n \"extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe =\",\n \"not region: return \\\"\\\" # Map from other countries to a localized country\",\n \"\\\"\\\" # Map from other countries to a localized country if lang ==\",\n \"self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof chrome.autotestPrivate.lockScreen == 'function'\\\"))\",\n \"options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest\",\n \"is a single combined SKU for Nordic ' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv',\",\n \"common configuration for ' 'Canadian French SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA',\",\n \"options.cros_ssh_identity) self._is_guest = options.browser_type == 'cros-chrome-guest' self._username = '' if self._is_guest else options.browser_options.username\",\n \"Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in',\",\n \"return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof chrome.autotestPrivate.lockScreen ==\",\n \"def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD (requires RW-enabled firmware). # To\",\n \"return (browser.oobe and browser.oobe.EvaluateJavaScript(\\\"typeof Oobe == 'function'\\\") and browser.oobe.EvaluateJavaScript( \\\"typeof Oobe.authenticateForTesting == 'function'\\\"))\",\n \"('Canadian French (ISO) keyboard. The most common configuration for ' 'Canadian French SKUs.\",\n \"there is a single unified SKU, use 'nordic' instead.\\\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB',\",\n \"from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy() self._cri =\",\n \"= self._OobeHasOption(browser, 'language-select', region.language_code) if not languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser,\",\n \"autotestPrivate.screenLock\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \\\"\\\"\\\"Tests autotestPrivate.logout\\\"\\\"\\\" with\",\n \"'zh-CN' if lang == 'en': if region in ('au', 'ca', 'nz', 'za'): return\",\n \"region_code self.keyboard = keyboard self.time_zone = time_zone self.language_code = language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout\",\n \"browser_finder from telemetry.core import exceptions from telemetry.core import extension_to_load from telemetry.core import util\",\n \"logging import os import unittest from telemetry.core import browser_finder from telemetry.core import exceptions\",\n \"self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username])\",\n \"Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript('''\",\n \"'\\\"%s\\\"=\\\"%s\\\"' % (key, value)]) # Remove cached files to clear initial locale info\",\n \"b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username)\",\n \"browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof chrome.autotestPrivate.lockScreen == 'function'\\\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();')\",\n \"= '' if self._is_guest else options.browser_options.username self._password = options.browser_options.password def _IsCryptohomeMounted(self): \\\"\\\"\\\"Returns True\",\n \"\\\" \\\"http://goto/cros-canada\\\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO,\",\n \"10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \\\"\\\"\\\"Tests autotestPrivate.screenLock\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser)\",\n \"and creates a browser for tests. if autotest_ext is True, also loads the\",\n \"'needs to be a single SKU for all of Canada. See ' 'http://goto/cros-canada')),\",\n \"def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad password') def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden\",\n \"(US keyboard)', 'Canada with US (ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA',\",\n \"def _OobeHasOption(self, browser, selectId, value): hasOptionJs = ''' // Check that the option\",\n \"(ISO) keyboard. The most common configuration for ' 'Canadian French SKUs. See http://goto/cros-canada')),\",\n \"'%s'); ''' % (self._username, self._password)) util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \\\"\\\"\\\"Tests\",\n \"if cryptohome is mounted\\\"\\\"\\\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return\",\n \"testScreenLock(self): \\\"\\\"\\\"Tests autotestPrivate.screenLock\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \\\"\\\"\\\"Tests\",\n \"and browser.oobe.EvaluateJavaScript( \\\"typeof Oobe.authenticateForTesting == 'function'\\\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying\",\n \"time, region and initial_timezone are not set. vpd = {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard}\",\n \"and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def\",\n \"read initial_locale and keyboard_layout. initial_region = self.Region('', '', '', '', '') initial_region.language_code, _\",\n \"option is present. Make sure it's selected if necessary. return !isDefault || options.selectedIndex\",\n \"10) def testCryptohomeMounted(self): \\\"\\\"\\\"Verifies cryptohome mount status for regular and guest user and\",\n \"_ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout'])\",\n \"self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for region in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser:\",\n \"if not languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback)) # Find\",\n \"use 'nordic' instead.\\\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'), Region('us', 'xkb:us::eng', 'America/Los_Angeles', 'en-US',\",\n \"dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return\",\n \"No mapping found return \\\"\\\" def testOobeLocalization(self): \\\"\\\"\\\"Tests different region configurations at OOBE\\\"\\\"\\\"\",\n \"keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) # Test is finished. Restore original region\",\n \"keyboard. The most common configuration for ' 'Canadian French SKUs. See http://goto/cros-canada')), Region('ca.hybrid',\",\n \"that can be # found in the LICENSE file. import json import logging\",\n \"This defaults ' 'to Swedish keyboard layout, but starts with US English language\",\n \"with self._CreateBrowser(auto_login=False) as browser: # Ensure the dropdown lists have been created. util.WaitFor(lambda:\",\n \"0; i < options.length; i++) { if (options[i].value == value) { // The\",\n \"for tests. if autotest_ext is True, also loads the autotest extension\\\"\\\"\\\" options =\",\n \"_KML.ISO, 'Canada (hybrid)', ('Canada with hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO), ' 'defaulting\",\n \"time_zone self.language_code = language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description = description or region_code self.notes\",\n \"cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type == 'cros-chrome-guest' self._username = '' if self._is_guest else\",\n \"present. Make sure it's selected if necessary. return !isDefault || options.selectedIndex == i;\",\n \"'ca', 'nz', 'za'): return 'en-GB' return 'en-US' # No mapping found return \\\"\\\"\",\n \"= True options.browser_options.auto_login = auto_login b = browser_to_create.Create() b.Start() return b def _GetAutotestExtension(self,\",\n \"= self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback)) # Find the keyboard layout. self.assertTrue(self._OobeHasOption(\",\n \"return name raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout\",\n \"Denmark. This defaults ' 'to Swedish keyboard layout, but starts with US English\",\n \"\\\" \\\"Norway, and Denmark), or the device is only shipping to Sweden. \\\"\",\n \"= notes class Enum(frozenset): def __getattr__(self, name): if name in self: return name\",\n \"if autotest_ext is True, also loads the autotest extension\\\"\\\"\\\" options = options_for_unittests.GetCopy() if\",\n \"''' // Check that the option is present, and selected if it is\",\n \"value): hasOptionJs = ''' // Check that the option is present, and selected\",\n \"http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada with hybrid xkb:ca:eng:eng +\",\n \"= os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create\",\n \"self.keyboard = keyboard self.time_zone = time_zone self.language_code = language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description\",\n \"Check that the option is present, and selected if it is the default.\",\n \"in the LICENSE file. import json import logging import os import unittest from\",\n \"_LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof chrome.autotestPrivate.lockScreen == 'function'\\\")) logging.info('Locking screen')\",\n \"force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self,\",\n \"'en-CA', _KML.ANSI, 'Canada (US keyboard)', 'Canada with US (ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr',\",\n \"or the device is only shipping to Sweden. \\\" \\\"If there is a\",\n \"= extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe\",\n \"region in ('au', 'ca', 'nz', 'za'): return 'en-GB' return 'en-US' # No mapping\",\n \"'keyboard_layout']) for region in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser: # Ensure the\",\n \"vpd = {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for (key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s',\",\n \"extension instance\\\"\\\"\\\" extension = browser.extensions[self._load_extension] self.assertTrue(extension) return extension def _GetLoginStatus(self, browser): extension =\",\n \"but not the country, fall back to # an existing locale. See ui/base/l10n/l10n_util.cc.\",\n \"lang, _, region = map(str.lower, locale.partition('-')) if not region: return \\\"\\\" # Map\",\n \"= Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST = [ Region('au', 'xkb:us::eng',\",\n \"'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French keyboard)', ('Canadian French (ISO) keyboard. The most common\",\n \"region configurations at OOBE\\\"\\\"\\\" # Save the original device localization settings. # To\",\n \"fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback)) # Find the keyboard layout.\",\n \"'ui']) # Change VPD (requires RW-enabled firmware). # To save time, region and\",\n \"value)]) # Remove cached files to clear initial locale info and force regeneration.\",\n \"region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code = region_code self.keyboard = keyboard\",\n \"Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US\",\n \"single unified SKU, use 'nordic' instead.\\\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'), Region('us',\",\n \"import util from telemetry.core.backends.chrome import cros_interface from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def\",\n \"have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\\\"language-select\\\") != null'), 10) # Find the language,\",\n \"self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home, _ =\",\n \"'Canada (multilingual)', (\\\"Canadian Multilingual keyboard; you probably don't want this. See \\\" \\\"http://goto/cros-canada\\\")),\",\n \"Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl',\",\n \"{'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for (key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\\\"%s\\\"=\\\"%s\\\"' %\",\n \"Ensure the dropdown lists have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\\\"language-select\\\") != null'), 10)\",\n \"import exceptions from telemetry.core import extension_to_load from telemetry.core import util from telemetry.core.backends.chrome import\",\n \"selected if it is the default. (function hasOption(selectId, value, isDefault) { var options\",\n \"self: return name raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML =\",\n \"= self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user',\",\n \"util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD (requires\",\n \"(ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French keyboard)', ('Canadian\",\n \"Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified SKU for Sweden, Norway, and Denmark.\",\n \"True if cryptohome is mounted\\\"\\\"\\\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON)\",\n \"SKU for Sweden, Norway, and Denmark. This defaults ' 'to Swedish keyboard layout,\",\n \"self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser, selectId, value): hasOptionJs =\",\n \"util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\\\"language-select\\\") != null'), 10) # Find the language, or an acceptable\",\n \"but starts with US English language ' 'for neutrality. Use if there is\",\n \"True, also loads the autotest extension\\\"\\\"\\\" options = options_for_unittests.GetCopy() if autotest_ext: extension_path =\",\n \"exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change\",\n \"'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\\\"Use this if there separate SKUs\",\n \"Denmark), or the device is only shipping to Sweden. \\\" \\\"If there is\",\n \"user and when logged out\\\"\\\"\\\" with self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted())\",\n \"'-s', '\\\"%s\\\"=\\\"%s\\\"' % (key, value)]) # Remove cached files to clear initial locale\",\n \"'es' and region == 'es': return 'es-419' if lang == 'zh': if region\",\n \"hasOption(selectId, value, isDefault) { var options = document.getElementById(selectId).options; for (var i = 0;\",\n \"not the country, fall back to # an existing locale. See ui/base/l10n/l10n_util.cc. lang,\",\n \"initial_timezone are not set. vpd = {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for (key, value)\",\n \"chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s; }); ''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def\",\n \"'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng',\",\n \"browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username, self._password)) util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def\",\n \"= self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for\",\n \"'Nordics', ('Unified SKU for Sweden, Norway, and Denmark. This defaults ' 'to Swedish\",\n \"window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s; }); ''') return util.WaitFor( lambda:\",\n \"lang == 'en': if region in ('au', 'ca', 'nz', 'za'): return 'en-GB' return\",\n \"name in self: return name raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS', 'ABNT2'])\",\n \"'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'),\",\n \"hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO), ' 'defaulting to English language and keyboard.\",\n \"(c) 2012 The Chromium Authors. All rights reserved. # Use of this source\",\n \"there ' 'needs to be a single SKU for all of Canada. See\",\n \"i < options.length; i++) { if (options[i].value == value) { // The option\",\n \"= self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \\\"\\\"\\\"Tests autotestPrivate.loginStatus\\\"\\\"\\\"\",\n \"return \\\"\\\" # Map from other countries to a localized country if lang\",\n \"%s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value, 'true')) def _ResolveLanguage(self, locale): #\",\n \"ui/base/l10n/l10n_util.cc. lang, _, region = map(str.lower, locale.partition('-')) if not region: return \\\"\\\" #\",\n \"extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s; }); ''') return util.WaitFor(\",\n \"'zh': if region in ('hk', 'mo'): return 'zh-TW' return 'zh-CN' if lang ==\",\n \"extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \\\"\\\"\\\"Verifies cryptohome mount status for regular and guest user\",\n \"autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load =\",\n \"\\\"%s\\\", %s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value, 'true')) def _ResolveLanguage(self, locale):\",\n \"notes class Enum(frozenset): def __getattr__(self, name): if name in self: return name raise\",\n \"(key, value)]) # Remove cached files to clear initial locale info and force\",\n \"language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code = region_code self.keyboard = keyboard self.time_zone = time_zone\",\n \"= browser.extensions[self._load_extension] self.assertTrue(extension) return extension def _GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof('chrome.autotestPrivate')\",\n \"// The option is present. Make sure it's selected if necessary. return !isDefault\",\n \"self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension =\",\n \"for region in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser: # Ensure the dropdown\",\n \"browser.oobe.EvaluateJavaScript( 'document.getElementById(\\\"language-select\\\") != null'), 10) # Find the language, or an acceptable fallback\",\n \"self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser: # Ensure the dropdown lists have been\",\n \"REGIONS_LIST = [ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA',\",\n \"extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension]\",\n \"code is governed by a BSD-style license that can be # found in\",\n \"self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome', '--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True):\",\n \"options.extensions_to_load = [self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login = auto_login\",\n \"self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser): self.assertFalse(self._IsScreenLocked(browser)) extension = self._GetAutotestExtension(browser)\",\n \"if necessary. return !isDefault || options.selectedIndex == i; } } return false; })(\\\"%s\\\",\",\n \"options.browser_options.password def _IsCryptohomeMounted(self): \\\"\\\"\\\"Returns True if cryptohome is mounted\\\"\\\"\\\" cryptohomeJSON, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome',\",\n \"in ('au', 'ca', 'nz', 'za'): return 'en-GB' return 'en-US' # No mapping found\",\n \"len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home,\",\n \"save time, only read initial_locale and keyboard_layout. initial_region = self.Region('', '', '', '',\",\n \"Nordic countries (Sweden, \\\" \\\"Norway, and Denmark), or the device is only shipping\",\n \"if there separate SKUs for Nordic countries (Sweden, \\\" \\\"Norway, and Denmark), or\",\n \"10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username, self._password))\",\n \"creates a browser for tests. if autotest_ext is True, also loads the autotest\",\n \"self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD (requires RW-enabled firmware). # To save time, region\",\n \"_KML = KeyboardMechanicalLayout REGIONS_LIST = [ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi',\",\n \"= options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type == 'cros-chrome-guest' self._username =\",\n \"autotest extension\\\"\\\"\\\" options = options_for_unittests.GetCopy() if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension =\",\n \"KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST = [ Region('au',\",\n \"is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login =\",\n \"self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for region\",\n \"= self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for region in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as\",\n \"= options_for_unittests.GetCopy() if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type,\",\n \"configurations at OOBE\\\"\\\"\\\" # Save the original device localization settings. # To save\",\n \"\\\"Norway, and Denmark), or the device is only shipping to Sweden. \\\" \\\"If\",\n \"self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback)) # Find the keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select',\",\n \"locale): # If the locale matches a language but not the country, fall\",\n \"most common configuration for ' 'Canadian French SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto',\",\n \"the autotest extension\\\"\\\"\\\" options = options_for_unittests.GetCopy() if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension\",\n \"_CreateBrowser(self, autotest_ext=False, auto_login=True): \\\"\\\"\\\"Finds and creates a browser for tests. if autotest_ext is\",\n \"as b: extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not\",\n \"(function hasOption(selectId, value, isDefault) { var options = document.getElementById(selectId).options; for (var i =\",\n \"there is a single combined SKU for Nordic ' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm',\",\n \"== 'function'\\\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad password') def\",\n \"All rights reserved. # Use of this source code is governed by a\",\n \"(browser.oobe and browser.oobe.EvaluateJavaScript(\\\"typeof Oobe == 'function'\\\") and browser.oobe.EvaluateJavaScript( \\\"typeof Oobe.authenticateForTesting == 'function'\\\")) util.WaitFor(ScreenLocked,\",\n \"hasOptionJs = ''' // Check that the option is present, and selected if\",\n \"self.description = description or region_code self.notes = notes class Enum(frozenset): def __getattr__(self, name):\",\n \"for Nordic countries (Sweden, \\\" \\\"Norway, and Denmark), or the device is only\",\n \"unified SKU, use 'nordic' instead.\\\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'), Region('us', 'xkb:us::eng',\",\n \"language but not the country, fall back to # an existing locale. See\",\n \"original region settings. self._SwitchRegion(initial_region) # The Region class and region list will be\",\n \"'fr-CA', _KML.ISO, 'Canada (French keyboard)', ('Canadian French (ISO) keyboard. The most common configuration\",\n \"else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def\",\n \"Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'), Region('us', 'xkb:us::eng', 'America/Los_Angeles', 'en-US', _KML.ANSI, 'United States'),\",\n \"'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng',\",\n \"'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US keyboard)', 'Canada\",\n \"['vpd', '-g', 'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for region in\",\n \"Restore original region settings. self._SwitchRegion(initial_region) # The Region class and region list will\",\n \"'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra',\",\n \"regular and guest user and when logged out\\\"\\\"\\\" with self._CreateBrowser() as b: self.assertEquals(1,\",\n \"= options.browser_type == 'cros-chrome-guest' self._username = '' if self._is_guest else options.browser_options.username self._password =\",\n \"browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \\\"\\\"\\\"Tests autotestPrivate.screenLock\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser)\",\n \"instance\\\"\\\"\\\" extension = browser.extensions[self._load_extension] self.assertTrue(extension) return extension def _GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser)\",\n \"governed by a BSD-style license that can be # found in the LICENSE\",\n \"self._UnlockScreen(browser) def testLogout(self): \\\"\\\"\\\"Tests autotestPrivate.logout\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b: extension = self._GetAutotestExtension(b) try:\",\n \"set. vpd = {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for (key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd',\",\n \"English language and keyboard. Used only if there ' 'needs to be a\",\n \"notes=None): self.region_code = region_code self.keyboard = keyboard self.time_zone = time_zone self.language_code = language_code\",\n \"isDefault) { var options = document.getElementById(selectId).options; for (var i = 0; i <\",\n \"to be a single SKU for all of Canada. See ' 'http://goto/cros-canada')), Region('ca.multix',\",\n \"'guestfs') else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful')\",\n \"\\\"\\\"\\\"Finds and creates a browser for tests. if autotest_ext is True, also loads\",\n \"'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'),\",\n \"for Sweden, Norway, and Denmark. This defaults ' 'to Swedish keyboard layout, but\",\n \"reserved. # Use of this source code is governed by a BSD-style license\",\n \"RW-enabled firmware). # To save time, region and initial_timezone are not set. vpd\",\n \"browser, selectId, value): hasOptionJs = ''' // Check that the option is present,\",\n \"self._OobeHasOption(browser, 'language-select', region.language_code) if not languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select',\",\n \"raise AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST =\",\n \"path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True\",\n \"window.__login_status = s; }); ''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \\\"\\\"\\\"Verifies\",\n \"value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\\\"%s\\\"=\\\"%s\\\"' % (key, value)]) # Remove cached files\",\n \"mount status for regular and guest user and when logged out\\\"\\\"\\\" with self._CreateBrowser()\",\n \"Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)', (\\\"Canadian Multilingual keyboard; you probably don't\",\n \"browser.extensions[self._load_extension] self.assertTrue(extension) return extension def _GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof('chrome.autotestPrivate') !=\",\n \"'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics',\",\n \"testCryptohomeMounted(self): \\\"\\\"\\\"Verifies cryptohome mount status for regular and guest user and when logged\",\n \"SKU, use 'nordic' instead.\\\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'), Region('us', 'xkb:us::eng', 'America/Los_Angeles',\",\n \"telemetry.core import exceptions from telemetry.core import extension_to_load from telemetry.core import util from telemetry.core.backends.chrome\",\n \"it's selected if necessary. return !isDefault || options.selectedIndex == i; } } return\",\n \"See \\\" \\\"http://goto/cros-canada\\\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi',\",\n \"self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \\\"\\\"\\\"Tests autotestPrivate.loginStatus\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as\",\n \"if not region: return \\\"\\\" # Map from other countries to a localized\",\n \"_KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO,\",\n \"browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value, 'true')) def _ResolveLanguage(self, locale): # If the locale\",\n \"'Canada (French keyboard)', ('Canadian French (ISO) keyboard. The most common configuration for '\",\n \"'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US keyboard)', 'Canada with US (ANSI)\",\n \"extension def _GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof('chrome.autotestPrivate') != 'undefined'\\\")) extension.ExecuteJavaScript(''' window.__login_status\",\n \"keyboard. Used only if there ' 'needs to be a single SKU for\",\n \"from telemetry.core import browser_finder from telemetry.core import exceptions from telemetry.core import extension_to_load from\",\n \"util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \\\"\\\"\\\"Tests autotestPrivate.screenLock\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as browser:\",\n \"return 'es-419' if lang == 'zh': if region in ('hk', 'mo'): return 'zh-TW'\",\n \"self.notes = notes class Enum(frozenset): def __getattr__(self, name): if name in self: return\",\n \"shipping to Sweden. \\\" \\\"If there is a single unified SKU, use 'nordic'\",\n \"'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB',\",\n \"screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock screen') def ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\\\"typeof\",\n \"'initial_locale']) initial_region.keyboard, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for region in self.REGIONS_LIST: self._SwitchRegion(region)\",\n \"'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin',\",\n \"if (options[i].value == value) { // The option is present. Make sure it's\",\n \"not set. vpd = {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for (key, value) in vpd.items():\",\n \"'true')) def _ResolveLanguage(self, locale): # If the locale matches a language but not\",\n \"from telemetry.core import util from telemetry.core.backends.chrome import cros_interface from telemetry.unittest import options_for_unittests class\",\n \"self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback)) # Find the keyboard layout. self.assertTrue(self._OobeHasOption( browser,\",\n \"settings. self._SwitchRegion(initial_region) # The Region class and region list will be available in\",\n \"_ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \\\"\\\"\\\"Tests\",\n \"Map from other countries to a localized country if lang == 'es' and\",\n \"[ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada\",\n \"self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \\\"\\\"\\\"Tests autotestPrivate.loginStatus\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b:\",\n \"self.assertTrue(extension.EvaluateJavaScript( \\\"typeof('chrome.autotestPrivate') != 'undefined'\\\")) extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s;\",\n \"self.assertTrue(extension.EvaluateJavaScript( \\\"typeof chrome.autotestPrivate.lockScreen == 'function'\\\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock screen')\",\n \"description or region_code self.notes = notes class Enum(frozenset): def __getattr__(self, name): if name\",\n \"other countries to a localized country if lang == 'es' and region ==\",\n \"keyboard_mechanical_layout self.description = description or region_code self.notes = notes class Enum(frozenset): def __getattr__(self,\",\n \"}); ''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \\\"\\\"\\\"Verifies cryptohome mount status\",\n \"not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \\\"\\\"\\\"Tests autotestPrivate.screenLock\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as browser: self._LockScreen(browser)\",\n \"# Test is finished. Restore original region settings. self._SwitchRegion(initial_region) # The Region class\",\n \"self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()),\",\n \"{ if (options[i].value == value) { // The option is present. Make sure\",\n \"false; })(\\\"%s\\\", \\\"%s\\\", %s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value, 'true')) def\",\n \"To save time, only read initial_locale and keyboard_layout. initial_region = self.Region('', '', '',\",\n \"if there ' 'needs to be a single SKU for all of Canada.\",\n \"return \\\"\\\" def testOobeLocalization(self): \\\"\\\"\\\"Tests different region configurations at OOBE\\\"\\\"\\\" # Save the\",\n \"cached files to clear initial locale info and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\\\ State'])\",\n \"util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad password') def ErrorBubbleVisible(): return\",\n \"'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl',\",\n \"testOobeLocalization(self): \\\"\\\"\\\"Tests different region configurations at OOBE\\\"\\\"\\\" # Save the original device localization\",\n \"screen') def ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\\\"typeof Oobe == 'function'\\\") and browser.oobe.EvaluateJavaScript( \\\"typeof\",\n \"as browser: # Ensure the dropdown lists have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\\\"language-select\\\")\",\n \"# Save the original device localization settings. # To save time, only read\",\n \"\\\"http://goto/cros-canada\\\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'),\",\n \"present, and selected if it is the default. (function hasOption(selectId, value, isDefault) {\",\n \"password') def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); '''\",\n \"== 'es': return 'es-419' if lang == 'zh': if region in ('hk', 'mo'):\",\n \"'Netherlands'), Region('nordic', 'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified SKU for Sweden, Norway, and\",\n \"list will be available in regions.py. class Region(object): def __init__(self, region_code, keyboard, time_zone,\",\n \"'to Swedish keyboard layout, but starts with US English language ' 'for neutrality.\",\n \"source code is governed by a BSD-style license that can be # found\",\n \"{ var options = document.getElementById(selectId).options; for (var i = 0; i < options.length;\",\n \"(hybrid)', ('Canada with hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO), ' 'defaulting to English\",\n \"'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada with hybrid xkb:ca:eng:eng + xkb:ca::fra keyboard (ISO), '\",\n \"telemetry.core import util from telemetry.core.backends.chrome import cros_interface from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase):\",\n \"self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self,\",\n \"b: extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(),\",\n \"})(\\\"%s\\\", \\\"%s\\\", %s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value, 'true')) def _ResolveLanguage(self,\",\n \"(selectId, value, 'true')) def _ResolveLanguage(self, locale): # If the locale matches a language\",\n \"country if lang == 'es' and region == 'es': return 'es-419' if lang\",\n \"language and keyboard. Used only if there ' 'needs to be a single\",\n \"browser): \\\"\\\"\\\"Returns the autotest extension instance\\\"\\\"\\\" extension = browser.extensions[self._load_extension] self.assertTrue(extension) return extension def\",\n \"= [self._load_extension] browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login = auto_login b\",\n \"Remove cached files to clear initial locale info and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\\\\",\n \"the dropdown lists have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\\\"language-select\\\") != null'), 10) #\",\n \"browser): logging.info('Trying a bad password') def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible())\",\n \"To save time, region and initial_timezone are not set. vpd = {'initial_locale': region.language_code,\",\n \"'language-select', region.language_code) if not languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback))\",\n \"keyboard)', ('Canadian French (ISO) keyboard. The most common configuration for ' 'Canadian French\",\n \"language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description = description or region_code self.notes = notes class\",\n \"{ window.__login_status = s; }); ''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self):\",\n \"browser, 'keyboard-select', region.keyboard)) # Test is finished. Restore original region settings. self._SwitchRegion(initial_region) #\",\n \"'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'),\",\n \"'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms',\",\n \"\\\"typeof('chrome.autotestPrivate') != 'undefined'\\\")) extension.ExecuteJavaScript(''' window.__login_status = null; chrome.autotestPrivate.loginStatus(function(s) { window.__login_status = s; });\",\n \"== 'zh': if region in ('hk', 'mo'): return 'zh-TW' return 'zh-CN' if lang\",\n \"be available in regions.py. class Region(object): def __init__(self, region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout,\",\n \"_ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'keyboard_layout']) for region in self.REGIONS_LIST: self._SwitchRegion(region) with self._CreateBrowser(auto_login=False)\",\n \"file. import json import logging import os import unittest from telemetry.core import browser_finder\",\n \"languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and self._OobeHasOption(browser, 'language-select', fallback)) # Find the keyboard\",\n \"the autotest extension instance\\\"\\\"\\\" extension = browser.extensions[self._load_extension] self.assertTrue(extension) return extension def _GetLoginStatus(self, browser):\",\n \"AttributeError KeyboardMechanicalLayout = Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST = [\",\n \"device localization settings. # To save time, only read initial_locale and keyboard_layout. initial_region\",\n \"Use if there is a single combined SKU for Nordic ' 'countries.')), Region('se',\",\n \"can be # found in the LICENSE file. import json import logging import\",\n \"Canada. See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)', (\\\"Canadian Multilingual\",\n \"= description or region_code self.notes = notes class Enum(frozenset): def __getattr__(self, name): if\",\n \"lang == 'zh': if region in ('hk', 'mo'): return 'zh-TW' return 'zh-CN' if\",\n \"login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked'])\",\n \"_AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad password') def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''')\",\n \"return !isDefault || options.selectedIndex == i; } } return false; })(\\\"%s\\\", \\\"%s\\\", %s);\",\n \"if region in ('hk', 'mo'): return 'zh-TW' return 'zh-CN' if lang == 'en':\",\n \"a bad password') def ErrorBubbleVisible(): return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s',\",\n \"OOBE\\\"\\\"\\\" # Save the original device localization settings. # To save time, only\",\n \"initial_region = self.Region('', '', '', '', '') initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd', '-g',\",\n \"'xkb:se::swe', 'Europe/Stockholm', 'en-US', _KML.ISO, 'Nordics', ('Unified SKU for Sweden, Norway, and Denmark. This\",\n \"self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login = auto_login b = browser_to_create.Create() b.Start() return b\",\n \"self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home, _\",\n \"2012 The Chromium Authors. All rights reserved. # Use of this source code\",\n \"Enum(frozenset): def __getattr__(self, name): if name in self: return name raise AttributeError KeyboardMechanicalLayout\",\n \"!isDefault || options.selectedIndex == i; } } return false; })(\\\"%s\\\", \\\"%s\\\", %s); '''\",\n \"'xkb:ca::fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (French keyboard)', ('Canadian French (ISO) keyboard. The most\",\n \"return not browser.oobe.EvaluateJavaScript(''' document.getElementById('bubble').hidden ''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible,\",\n \"value) { // The option is present. Make sure it's selected if necessary.\",\n \"for the lock screen') def ScreenLocked(): return (browser.oobe and browser.oobe.EvaluateJavaScript(\\\"typeof Oobe == 'function'\\\")\",\n \"== value) { // The option is present. Make sure it's selected if\",\n \"telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote,\",\n \"Sweden. \\\" \\\"If there is a single unified SKU, use 'nordic' instead.\\\")), Region('sg',\",\n \"a localized country if lang == 'es' and region == 'es': return 'es-419'\",\n \"Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username, self._password)) util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self):\",\n \"VPD (requires RW-enabled firmware). # To save time, region and initial_timezone are not\",\n \"= map(str.lower, locale.partition('-')) if not region: return \\\"\\\" # Map from other countries\",\n \"See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada with hybrid xkb:ca:eng:eng\",\n \"def testLoginStatus(self): \\\"\\\"\\\"Tests autotestPrivate.loginStatus\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict)\",\n \"(ISO), ' 'defaulting to English language and keyboard. Used only if there '\",\n \"exceptions from telemetry.core import extension_to_load from telemetry.core import util from telemetry.core.backends.chrome import cros_interface\",\n \"telemetry.core import browser_finder from telemetry.core import exceptions from telemetry.core import extension_to_load from telemetry.core\",\n \"a BSD-style license that can be # found in the LICENSE file. import\",\n \"testLogout(self): \\\"\\\"\\\"Tests autotestPrivate.logout\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b: extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except\",\n \"os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load = [self._load_extension] browser_to_create =\",\n \"self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof chrome.autotestPrivate.lockScreen == 'function'\\\")) logging.info('Locking screen') extension.ExecuteJavaScript('chrome.autotestPrivate.lockScreen();') logging.info('Waiting for the lock\",\n \"self._SwitchRegion(region) with self._CreateBrowser(auto_login=False) as browser: # Ensure the dropdown lists have been created.\",\n \"= s; }); ''') return util.WaitFor( lambda: extension.EvaluateJavaScript('window.__login_status'), 10) def testCryptohomeMounted(self): \\\"\\\"\\\"Verifies cryptohome\",\n \"''') self.assertFalse(ErrorBubbleVisible()) browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self,\",\n \"self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else: home, _ = self._cri.RunCmdOnDevice(['/usr/sbin/cryptohome-path', 'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted())\",\n \"layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) # Test is finished. Restore original region settings.\",\n \"license that can be # found in the LICENSE file. import json import\",\n \"def _ResolveLanguage(self, locale): # If the locale matches a language but not the\",\n \"\\\"typeof Oobe.authenticateForTesting == 'function'\\\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad\",\n \"'function'\\\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser): logging.info('Trying a bad password') def ErrorBubbleVisible():\",\n \"self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \\\"\\\"\\\"Tests autotestPrivate.logout\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b: extension =\",\n \"# Map from other countries to a localized country if lang == 'es'\",\n \"return 'en-US' # No mapping found return \\\"\\\" def testOobeLocalization(self): \\\"\\\"\\\"Tests different region\",\n \"the option is present, and selected if it is the default. (function hasOption(selectId,\",\n \"acceptable fallback value. languageFound = self._OobeHasOption(browser, 'language-select', region.language_code) if not languageFound: fallback =\",\n \"_KML.ISO, 'Germany'), Region('fi', 'xkb:fi::fin', 'Europe/Helsinki', 'fi', _KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO,\",\n \"('hk', 'mo'): return 'zh-TW' return 'zh-CN' if lang == 'en': if region in\",\n \"= browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login = auto_login b = browser_to_create.Create() b.Start()\",\n \"keyboard_layout. initial_region = self.Region('', '', '', '', '') initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd',\",\n \"pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD\",\n \"Authors. All rights reserved. # Use of this source code is governed by\",\n \"Enum(['ANSI', 'ISO', 'JIS', 'ABNT2']) _KML = KeyboardMechanicalLayout REGIONS_LIST = [ Region('au', 'xkb:us::eng', 'Australia/Sydney',\",\n \"_KML.ISO, 'Canada (French keyboard)', ('Canadian French (ISO) keyboard. The most common configuration for\",\n \"browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login = auto_login b = browser_to_create.Create() b.Start() return\",\n \"only shipping to Sweden. \\\" \\\"If there is a single unified SKU, use\",\n \"the language, or an acceptable fallback value. languageFound = self._OobeHasOption(browser, 'language-select', region.language_code) if\",\n \"('au', 'ca', 'nz', 'za'): return 'en-GB' return 'en-US' # No mapping found return\",\n \"'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng',\",\n \"= options.browser_options.password def _IsCryptohomeMounted(self): \\\"\\\"\\\"Returns True if cryptohome is mounted\\\"\\\"\\\" cryptohomeJSON, _ =\",\n \"'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic', 'xkb:se::swe',\",\n \"The Chromium Authors. All rights reserved. # Use of this source code is\",\n \"Use of this source code is governed by a BSD-style license that can\",\n \"as browser: self._LockScreen(browser) self._AttemptUnlockBadPassword(browser) self._UnlockScreen(browser) def testLogout(self): \\\"\\\"\\\"Tests autotestPrivate.logout\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b:\",\n \"_OobeHasOption(self, browser, selectId, value): hasOptionJs = ''' // Check that the option is\",\n \"= self.Region('', '', '', '', '') initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale'])\",\n \"= language_code self.keyboard_mechanical_layout = keyboard_mechanical_layout self.description = description or region_code self.notes = notes\",\n \"_KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO,\",\n \"US English language ' 'for neutrality. Use if there is a single combined\",\n \"and Denmark. This defaults ' 'to Swedish keyboard layout, but starts with US\",\n \"is True, also loads the autotest extension\\\"\\\"\\\" options = options_for_unittests.GetCopy() if autotest_ext: extension_path\",\n \"'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'),\",\n \"b = browser_to_create.Create() b.Start() return b def _GetAutotestExtension(self, browser): \\\"\\\"\\\"Returns the autotest extension\",\n \"'Sweden', (\\\"Use this if there separate SKUs for Nordic countries (Sweden, \\\" \\\"Norway,\",\n \"return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True): \\\"\\\"\\\"Finds and creates a browser\",\n \"b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs')\",\n \"'sv', _KML.ISO, 'Sweden', (\\\"Use this if there separate SKUs for Nordic countries (Sweden,\",\n \"import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity)\",\n \"browser.oobe.EvaluateJavaScript(\\\"typeof Oobe == 'function'\\\") and browser.oobe.EvaluateJavaScript( \\\"typeof Oobe.authenticateForTesting == 'function'\\\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser))\",\n \"from telemetry.core.backends.chrome import cros_interface from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options\",\n \"_KML.ISO, 'Nordics', ('Unified SKU for Sweden, Norway, and Denmark. This defaults ' 'to\",\n \"+ xkb:ca::fra keyboard (ISO), ' 'defaulting to English language and keyboard. Used only\",\n \"you probably don't want this. See \\\" \\\"http://goto/cros-canada\\\")), Region('de', 'xkb:de::ger', 'Europe/Berlin', 'de', _KML.ISO,\",\n \"class Region(object): def __init__(self, region_code, keyboard, time_zone, language_code, keyboard_mechanical_layout, description=None, notes=None): self.region_code =\",\n \"(multilingual)', (\\\"Canadian Multilingual keyboard; you probably don't want this. See \\\" \\\"http://goto/cros-canada\\\")), Region('de',\",\n \"self.Region('', '', '', '', '') initial_region.language_code, _ = self._cri.RunCmdOnDevice( ['vpd', '-g', 'initial_locale']) initial_region.keyboard,\",\n \"browser_to_create = browser_finder.FindBrowser(options) self.assertTrue(browser_to_create) options.browser_options.create_browser_with_oobe = True options.browser_options.auto_login = auto_login b = browser_to_create.Create()\",\n \"device is only shipping to Sweden. \\\" \\\"If there is a single unified\",\n \"# To save time, region and initial_timezone are not set. vpd = {'initial_locale':\",\n \"self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser): return self._GetLoginStatus(browser)['isScreenLocked'] def _LockScreen(self, browser):\",\n \"is finished. Restore original region settings. self._SwitchRegion(initial_region) # The Region class and region\",\n \"= region_code self.keyboard = keyboard self.time_zone = time_zone self.language_code = language_code self.keyboard_mechanical_layout =\",\n \"'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'),\",\n \"def testCryptohomeMounted(self): \\\"\\\"\\\"Verifies cryptohome mount status for regular and guest user and when\",\n \"return extension def _GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof('chrome.autotestPrivate') != 'undefined'\\\")) extension.ExecuteJavaScript('''\",\n \"import logging import os import unittest from telemetry.core import browser_finder from telemetry.core import\",\n \"rights reserved. # Use of this source code is governed by a BSD-style\",\n \"options = document.getElementById(selectId).options; for (var i = 0; i < options.length; i++) {\",\n \"extension_to_load from telemetry.core import util from telemetry.core.backends.chrome import cros_interface from telemetry.unittest import options_for_unittests\",\n \"'--action=status']) cryptohomeStatus = json.loads(cryptohomeJSON) return (cryptohomeStatus['mounts'] and cryptohomeStatus['mounts'][0]['mounted']) def _CreateBrowser(self, autotest_ext=False, auto_login=True): \\\"\\\"\\\"Finds\",\n \"only read initial_locale and keyboard_layout. initial_region = self.Region('', '', '', '', '') initial_region.language_code,\",\n \"files to clear initial locale info and force regeneration. self._cri.RunCmdOnDevice(['rm', '/home/chronos/Local\\\\ State']) self._cri.RunCmdOnDevice(['rm',\",\n \"self._password = options.browser_options.password def _IsCryptohomeMounted(self): \\\"\\\"\\\"Returns True if cryptohome is mounted\\\"\\\"\\\" cryptohomeJSON, _\",\n \"util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username,\",\n \"def _GetLoginStatus(self, browser): extension = self._GetAutotestExtension(browser) self.assertTrue(extension.EvaluateJavaScript( \\\"typeof('chrome.autotestPrivate') != 'undefined'\\\")) extension.ExecuteJavaScript(''' window.__login_status =\",\n \"\\\"If there is a single unified SKU, use 'nordic' instead.\\\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore',\",\n \"return 'zh-CN' if lang == 'en': if region in ('au', 'ca', 'nz', 'za'):\",\n \"LICENSE file. import json import logging import os import unittest from telemetry.core import\",\n \"'function'\\\") and browser.oobe.EvaluateJavaScript( \\\"typeof Oobe.authenticateForTesting == 'function'\\\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self, browser):\",\n \"'keyboard_layout': region.keyboard} for (key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\\\"%s\\\"=\\\"%s\\\"' % (key, value)])\",\n \"an acceptable fallback value. languageFound = self._OobeHasOption(browser, 'language-select', region.language_code) if not languageFound: fallback\",\n \"(var i = 0; i < options.length; i++) { if (options[i].value == value)\",\n \"and Denmark), or the device is only shipping to Sweden. \\\" \\\"If there\",\n \"'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'), Region('us', 'xkb:us::eng', 'America/Los_Angeles', 'en-US', _KML.ANSI, 'United States'), ]\",\n \"this if there separate SKUs for Nordic countries (Sweden, \\\" \\\"Norway, and Denmark),\",\n \"settings. # To save time, only read initial_locale and keyboard_layout. initial_region = self.Region('',\",\n \"= 0; i < options.length; i++) { if (options[i].value == value) { //\",\n \"dropdown lists have been created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\\\"language-select\\\") != null'), 10) # Find\",\n \"Oobe == 'function'\\\") and browser.oobe.EvaluateJavaScript( \\\"typeof Oobe.authenticateForTesting == 'function'\\\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def\",\n \"\\\"\\\"\\\"Tests autotestPrivate.logout\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b: extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException,\",\n \"created. util.WaitFor(lambda: browser.oobe.EvaluateJavaScript( 'document.getElementById(\\\"language-select\\\") != null'), 10) # Find the language, or an\",\n \"if it is the default. (function hasOption(selectId, value, isDefault) { var options =\",\n \"by a BSD-style license that can be # found in the LICENSE file.\",\n \"'en-GB', _KML.ISO, 'UK'), Region('ie', 'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US',\",\n \"'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US keyboard)', 'Canada with US (ANSI) keyboard; see http://goto/cros-canada'),\",\n \"in ('hk', 'mo'): return 'zh-TW' return 'zh-CN' if lang == 'en': if region\",\n \"in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\\\"%s\\\"=\\\"%s\\\"' % (key, value)]) # Remove cached files to\",\n \"firmware). # To save time, region and initial_timezone are not set. vpd =\",\n \"def testOobeLocalization(self): \\\"\\\"\\\"Tests different region configurations at OOBE\\\"\\\"\\\" # Save the original device\",\n \"selectId, value): hasOptionJs = ''' // Check that the option is present, and\",\n \"option is present, and selected if it is the default. (function hasOption(selectId, value,\",\n \"'--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser, selectId, value): hasOptionJs = ''' // Check\",\n \"region == 'es': return 'es-419' if lang == 'zh': if region in ('hk',\",\n \"language ' 'for neutrality. Use if there is a single combined SKU for\",\n \"_KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US keyboard)', 'Canada with US\",\n \"different region configurations at OOBE\\\"\\\"\\\" # Save the original device localization settings. #\",\n \"== 'function'\\\") and browser.oobe.EvaluateJavaScript( \\\"typeof Oobe.authenticateForTesting == 'function'\\\")) util.WaitFor(ScreenLocked, 10) self.assertTrue(self._IsScreenLocked(browser)) def _AttemptUnlockBadPassword(self,\",\n \"Region class and region list will be available in regions.py. class Region(object): def\",\n \"return b def _GetAutotestExtension(self, browser): \\\"\\\"\\\"Returns the autotest extension instance\\\"\\\"\\\" extension = browser.extensions[self._load_extension]\",\n \"_KML.ISO, 'Sweden', (\\\"Use this if there separate SKUs for Nordic countries (Sweden, \\\"\",\n \"'/home/chronos/Local\\\\ State']) self._cri.RunCmdOnDevice(['rm', '/home/chronos/.oobe_completed']) self._cri.RunCmdOnDevice(['dump_vpd_log', '--force']) self._cri.RunCmdOnDevice(['start', 'ui']) def _OobeHasOption(self, browser, selectId, value):\",\n \"out\\\"\\\"\\\" with self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs)\",\n \"_KML.ANSI, 'India'), Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI,\",\n \"for (key, value) in vpd.items(): self._cri.RunCmdOnDevice(['vpd', '-s', '\\\"%s\\\"=\\\"%s\\\"' % (key, value)]) # Remove\",\n \"not self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD (requires RW-enabled\",\n \"self._CreateBrowser(autotest_ext=True) as b: extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda:\",\n \"extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException): pass util.WaitFor(lambda: not self._IsCryptohomeMounted(), 20)\",\n \"'user', self._username]) self.assertEquals(self._cri.FilesystemMountedAt(home.rstrip()), chronos_fs) self.assertFalse(self._IsCryptohomeMounted()) self.assertEquals(self._cri.FilesystemMountedAt('/home/chronos/user'), '/dev/mapper/encstateful') def testLoginStatus(self): \\\"\\\"\\\"Tests autotestPrivate.loginStatus\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True)\",\n \"# Change VPD (requires RW-enabled firmware). # To save time, region and initial_timezone\",\n \"} } return false; })(\\\"%s\\\", \\\"%s\\\", %s); ''' return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId,\",\n \"# Use of this source code is governed by a BSD-style license that\",\n \"if lang == 'en': if region in ('au', 'ca', 'nz', 'za'): return 'en-GB'\",\n \"'xkb:gb:extd:eng', 'Europe/Dublin', 'en-GB', _KML.ISO, 'Ireland'), Region('in', 'xkb:us::eng', 'Asia/Calcutta', 'en-US', _KML.ANSI, 'India'), Region('my', 'xkb:us::eng',\",\n \"'zh-TW' return 'zh-CN' if lang == 'en': if region in ('au', 'ca', 'nz',\",\n \"= [ Region('au', 'xkb:us::eng', 'Australia/Sydney', 'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI,\",\n \"existing locale. See ui/base/l10n/l10n_util.cc. lang, _, region = map(str.lower, locale.partition('-')) if not region:\",\n \"as b: login_status = self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'],\",\n \"return 'zh-TW' return 'zh-CN' if lang == 'en': if region in ('au', 'ca',\",\n \"a single unified SKU, use 'nordic' instead.\\\")), Region('sg', 'xkb:us::eng', 'Asia/Singapore', 'en-GB', _KML.ANSI, 'Singapore'),\",\n \"' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra', 'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)', (\\\"Canadian Multilingual keyboard; you\",\n \"_KML.ISO, 'Finland'), Region('fr', 'xkb:fr::fra', 'Europe/Paris', 'fr', _KML.ISO, 'France'), Region('gb', 'xkb:gb:extd:eng', 'Europe/London', 'en-GB', _KML.ISO,\",\n \"a single combined SKU for Nordic ' 'countries.')), Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO,\",\n \"'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\\\"Use this if there separate SKUs for Nordic\",\n \"'en-AU', _KML.ANSI, 'Australia'), Region('ca.ansi', 'xkb:us::eng', 'America/Toronto', 'en-CA', _KML.ANSI, 'Canada (US keyboard)', 'Canada with\",\n \"Region('my', 'xkb:us::eng', 'Asia/Kuala_Lumpur', 'ms', _KML.ANSI, 'Malaysia'), Region('nl', 'xkb:us:intl:eng', 'Europe/Amsterdam', 'nl', _KML.ANSI, 'Netherlands'), Region('nordic',\",\n \"= self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def\",\n \"browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', 'bad'); ''' % self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking')\",\n \"if autotest_ext: extension_path = os.path.join(os.path.dirname(__file__), 'autotest_ext') self._load_extension = extension_to_load.ExtensionToLoad( path=extension_path, browser_type=options.browser_type, is_component=True) options.extensions_to_load\",\n \"options.browser_options.username self._password = options.browser_options.password def _IsCryptohomeMounted(self): \\\"\\\"\\\"Returns True if cryptohome is mounted\\\"\\\"\\\" cryptohomeJSON,\",\n \"_, region = map(str.lower, locale.partition('-')) if not region: return \\\"\\\" # Map from\",\n \"to Sweden. \\\" \\\"If there is a single unified SKU, use 'nordic' instead.\\\")),\",\n \"Find the language, or an acceptable fallback value. languageFound = self._OobeHasOption(browser, 'language-select', region.language_code)\",\n \"and region == 'es': return 'es-419' if lang == 'zh': if region in\",\n \"# Find the keyboard layout. self.assertTrue(self._OobeHasOption( browser, 'keyboard-select', region.keyboard)) # Test is finished.\",\n \"Region('se', 'xkb:se::swe', 'Europe/Stockholm', 'sv', _KML.ISO, 'Sweden', (\\\"Use this if there separate SKUs for\",\n \"region settings. self._SwitchRegion(initial_region) # The Region class and region list will be available\",\n \"self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs = self._cri.FilesystemMountedAt('/home/chronos/user') self.assertTrue(chronos_fs) if self._is_guest: self.assertEquals(chronos_fs, 'guestfs') else:\",\n \"self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self, browser):\",\n \"autotestPrivate.logout\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as b: extension = self._GetAutotestExtension(b) try: extension.ExecuteJavaScript('chrome.autotestPrivate.logout();') except (exceptions.BrowserConnectionGoneException, exceptions.BrowserGoneException):\",\n \"self._username) util.WaitFor(ErrorBubbleVisible, 10) self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' %\",\n \"self._password)) util.WaitFor(lambda: not browser.oobe, 10) self.assertFalse(self._IsScreenLocked(browser)) def testScreenLock(self): \\\"\\\"\\\"Tests autotestPrivate.screenLock\\\"\\\"\\\" with self._CreateBrowser(autotest_ext=True) as\",\n \"languageFound = self._OobeHasOption(browser, 'language-select', region.language_code) if not languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback and\",\n \"'Canada (US keyboard)', 'Canada with US (ANSI) keyboard; see http://goto/cros-canada'), Region('ca.fr', 'xkb:ca::fra', 'America/Toronto',\",\n \"json import logging import os import unittest from telemetry.core import browser_finder from telemetry.core\",\n \"10) # Find the language, or an acceptable fallback value. languageFound = self._OobeHasOption(browser,\",\n \"SKUs. See http://goto/cros-canada')), Region('ca.hybrid', 'xkb:ca:eng:eng', 'America/Toronto', 'en-CA', _KML.ISO, 'Canada (hybrid)', ('Canada with hybrid\",\n \"'America/Toronto', 'fr-CA', _KML.ISO, 'Canada (multilingual)', (\\\"Canadian Multilingual keyboard; you probably don't want this.\",\n \"self._GetLoginStatus(b) self.assertEquals(type(login_status), dict) self.assertEquals(not self._is_guest, login_status['isRegularUser']) self.assertEquals(self._is_guest, login_status['isGuest']) self.assertEquals(login_status['email'], self._username) self.assertFalse(login_status['isScreenLocked']) def _IsScreenLocked(self,\",\n \"self._IsCryptohomeMounted(), 20) def _SwitchRegion(self, region): self._cri.RunCmdOnDevice(['stop', 'ui']) # Change VPD (requires RW-enabled firmware).\",\n \"self.assertTrue(self._IsScreenLocked(browser)) def _UnlockScreen(self, browser): logging.info('Unlocking') browser.oobe.ExecuteJavaScript(''' Oobe.authenticateForTesting('%s', '%s'); ''' % (self._username, self._password)) util.WaitFor(lambda:\",\n \"' 'for neutrality. Use if there is a single combined SKU for Nordic\",\n \"Change VPD (requires RW-enabled firmware). # To save time, region and initial_timezone are\",\n \"value. languageFound = self._OobeHasOption(browser, 'language-select', region.language_code) if not languageFound: fallback = self._ResolveLanguage(region.language_code) self.assertTrue(fallback\",\n \"SKUs for Nordic countries (Sweden, \\\" \\\"Norway, and Denmark), or the device is\",\n \"only if there ' 'needs to be a single SKU for all of\",\n \"are not set. vpd = {'initial_locale': region.language_code, 'keyboard_layout': region.keyboard} for (key, value) in\",\n \"''' return browser.oobe.EvaluateJavaScript( hasOptionJs % (selectId, value, 'true')) def _ResolveLanguage(self, locale): # If\",\n \"b.Start() return b def _GetAutotestExtension(self, browser): \\\"\\\"\\\"Returns the autotest extension instance\\\"\\\"\\\" extension =\",\n \"be a single SKU for all of Canada. See ' 'http://goto/cros-canada')), Region('ca.multix', 'xkb:ca:multix:fra',\",\n \"CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy() self._cri = cros_interface.CrOSInterface(options.cros_remote, options.cros_ssh_identity) self._is_guest = options.browser_type\",\n \"when logged out\\\"\\\"\\\" with self._CreateBrowser() as b: self.assertEquals(1, len(b.tabs)) self.assertTrue(b.tabs[0].url) self.assertTrue(self._IsCryptohomeMounted()) chronos_fs =\"\n]","isConversational":false}}}],"truncated":false,"partial":false},"paginationData":{"pageIndex":19,"numItemsPerPage":100,"numTotalItems":12866649,"offset":1900,"length":100}},"jwt":"eyJhbGciOiJFZERTQSIsImtpZCI6Im1sR1pFYktIVHRVSGRhX1RRdEczQ0N1S3k5ME9Qd25DNHY5elRjM3FVYzgifQ.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc4MzQzMDM2OSwianRpIjoiZDA2NjVjZmYtOTVjYS00ZDA2LTg1OWMtNTFjOTAwMGMxZDdlIiwic3ViIjoiL2RhdGFzZXRzL3RlcnJ5eXovc3RhcmNvZGVyZGF0YV9uZ3JhbV8xMyIsImV4cCI6MTc4MzQzMzk2OSwiaXNzIjoiaHR0cHM6Ly9odWdnaW5nZmFjZS5jbyJ9.bw9azo-0eeBT-1rY-fq6xXa662eIbZnMdCikzsSXEh4sbjeRMPpw0jrS0xcdLIvoBrZnaa5YzFrKcLYDK_8QBA","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":12866649,"numBytesParquet":149232926747}]},"discussionsStats":{"closed":0,"open":0,"total":0},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
ngram listlengths 0 67.8k |
|---|
[
"model: The model to evaluate. X_test: The features matrix of the test set.",
"test set, and returns the loss. Args: model: The model to evaluate. X_test:",
"def default_evaluator(model, X_test, y_test): \"\"\"A simple evaluator that takes in a model, and",
"features matrix of the test set. y_test: The one-ho... |
[
"a = random.choice(self.input_size) self.num=self.num+1 if self.num<3: return a else: raise StopIteration yolo=Yolov3() for",
"= random.choice(self.input_size) self.num=self.num+1 if self.num<3: return a else: raise StopIteration yolo=Yolov3() for data",
"return self def __next__(self): a = random.choice(self.i... |
[
"spectrogram back into a waveform.\"\"\" denormalized = denormalize(mel) amp_mel = db_to_amp(denormalized) S =",
"S = amp_to_db(linear_to_mel(np.abs(D))) return normalize(S) def stft(y): return librosa.stft( y=y, n_fft=hp.n_fft, hop_length=hp.hop_length, win_length=hp.win_length)",
"import lfilter import soundf... |
[
"pass class NA_Talon_Jng_Draven(Ratings): pass class NA_Talon_Jng_DrMundo(Ratings): pass class NA_Talon_Jng_Ekko(Ratings): pass class NA_Talon_Jng_Elise(Ratings): pass",
"pass class NA_Talon_Jng_Akali(Ratings): pass class NA_Talon_Jng_Alistar(Ratings): pass class NA_Talon_Jng_Amumu(Ratings): pass class NA_Talon_J... |
[
"the rest to lowercase letters. Returns string. \"\"\" m = self.text.split() res =",
"-- Turkish text to be handled \"\"\" text = \"\" l = ['ı',",
"def __init__(self, text): self.text = text def upper(self): \"\"\"Converts the text into uppercase",
"for i in self.text: if i in self.l: res += self.u[self.l.ind... |
[] |
[
"tf.estimator.TrainSpec(input_fn=lambda: input_func(input_func_dict), max_steps=500) # evaluation spec eval_spec = tf.estimator.EvalSpec(input_fn=lambda: input_func(eval_func_dict)) # Run the",
"input_func(input_func_dict), max_steps=500) # evaluation spec eval_spec = tf.estimator.EvalSpec(input_fn=lambda: input_... |
[
"output_path): \"\"\" archive this up into a zipfile. Note this is a classmethod,",
"in helper_paths or helper_paths[helper_name] is None: # note, find_executable returns None is not",
"class {}: {}\".format(cls.__name__, helper_name)) is_present = False break return is_present @classmethod def is_archive_exten... |
[
"def runenv_from_cpp_info(conanfile, cpp_info): \"\"\" return an Environment deducing the runtime information from a",
"\"\"\" return an Environment deducing the runtime information from a cpp_info \"\"\" dyn_runenv",
"private one = BINARY_SKIP return dyn_runenv if cpp_info.bin_paths: # cpp_info.exes is not def... |
[
"********************************************************************************** \"\"\" from enum import Enum from dataclasses import dataclass from uuid import",
"ListType(str, Enum): LIST : str = 'list' TEMPLATE: str = 'template' @classmethod def",
"= 'list' TEMPLATE: str = 'template' @classmethod def _mis... |
[
"main_power_change(self, entity, attribute, old, new, kwargs): \"\"\"Sustained Power ALARM logic control.\"\"\" try: new",
"ALERT_ON = 1 ALERT_CRITICAL = 2 def make_ios_push_data(self, data_msg: dict) -> dict: if",
"= \"\" if self.get_state(BIG_CONSUMER_1_CLIMATE) == \"on\": devices_turning_off = BIG_CONSUMER_1... |
[
"else: import gtk self.__pending = gtk.events_pending self.__iteration = gtk.main_iteration self.__crash = _our_mainquit self.__run",
"and set up some # signal handling which pygtk won't mess with. This",
"Windows. Sockets aren't supported by GTK+'s input_add on Win32. \"\"\" _simtag = None",
"else: self._sou... |
[
"a in assets: print(\"asset\", a) filt = indexes[\"set\"][~pd.isna(wide_close[a])] counts = filt.value_counts() df =",
"import multiprocessing import random import os from tensorflow.keras.models import Sequential from tensorflow.keras.layers import",
"in asset_details[\"Asset_ID\"]] \"\"\" Preprocess \"\"\" cl... |
[
"except Exception as e: bot.reply_to(message, 'oooops') @bot.message_handler(func=lambda message: True) def message_handler(message): us =",
"markup = InlineKeyboardMarkup() markup.row_width = 1 markup.add(InlineKeyboardButton(\"Azo bo'ling\", callback_data=\"cb_yes\", url='t.me/onideal'), InlineKeyboardButton(\"... |
[
"rectangle_area([0, 0, 1, 1]) == 1.0 def test_large_square(): assert rectangle_area([1, 1, 4, 4])",
"assert rectangle_area([0, 0, 1, 1]) == 1.0 def test_large_square(): assert rectangle_area([1, 1, 4,",
"rectangle_area def test_unit_square(): assert rectangle_area([0, 0, 1, 1]) == 1.0 def test_large_square(): a... |
[
"# -*- coding: utf-8 -*- from unittest import TestCase, TestLoader from radio import",
"trying to bound handler that is already bounded. ''' def foo_handler(): pass self.radio.reply('foo',",
"TestCase, TestLoader from radio import (Radio, ListenerNotFound, ReplyHandlerAlreadyBound, HandlerAlreadyBound) def init... |
[
"<gh_stars>1-10 class APIError(Exception): \"\"\" Base exception for the API app \"\"\" pass class",
"Raised when an app tries to override an existing URL regular expression pattern",
"app \"\"\" pass class APIResourcePatternError(APIError): \"\"\" Raised when an app tries to override",
"an app tries to overr... |
[
"def test_lazy_append_access(): reqs = (Request(r.SerializeToString(), EnvelopeProto()) for r in request_generator(random_docs(10))) for r in",
"not r.is_used # write access r.train r.index.ClearField('docs') # now it is read assert",
"('search', jina_pb2.RequestProto.SearchRequestProto), ('control', jina_pb2.R... |
[
"= os.path.abspath( os.path.dirname( __file__ ) ) def Settings( **kwargs ): return { 'interpreter_path':",
"sys DIR_OF_THIS_SCRIPT = os.path.abspath( os.path.dirname( __file__ ) ) def Settings( **kwargs ): return",
"Settings( **kwargs ): return { 'interpreter_path': sys.executable, 'sys_path': [ os.path.join( D... |
[
"Linux\", \"License :: OSI Approved :: Apache 2.0 License\", \"Programming Language :: Python",
"description='Utils for the SmartCache project', long_description=\"To do...\", install_requires=open(\"requirements.txt\").read(), classifier=[ \"Operating System :: POSIX",
"\"License :: OSI Approved :: Apache 2.0 ... |
[
"binary sensors.\"\"\" from __future__ import annotations import logging from pyeight.eight import EightSleep from",
"DOMAIN _LOGGER = logging.getLogger(__name__) async def async_setup_platform( hass: HomeAssistant, config: ConfigType, async_add_entities: AddEntitiesCallback,",
"sensor.\"\"\" super().__init__(c... |
[
"assert request.call_count == 1 assert request.call_args[1]['params'] == params @pytest.mark.usefixtures('db') def test_raises_timeout(mocker): request =",
"'https://ravem.test/api/v2/sub/final_endpoint'), ('https://ravem.test/', '', 'https://ravem.test/'), ('https://ravem.test/api/', '', 'https://ravem.test/api/... |
[
"import url from .views import OrgView, AddUserAskView, OrgHomeView, OrgCourseView, OrgDescView, OrgTeacherView, AddFavView from",
"OrgTeacherView, AddFavView from .views import TeacherListView, TeacherDetailView urlpatterns = [ url(r'^list/$', OrgView.as_view(), name=\"org_list\"),",
"OrgHomeView, OrgCourseVie... |
[
"from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('filer',",
"from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration):",
"] operations... |
[
"process=agedHFNose(process) return process def customise_aging_3000_ultimate(process): process=ageHcal(process,3000,7.5e34,\"ultimate\") process=turn_off_HE_aging(process) #avoid conflict between HGCal and Hcal",
"process.mixData if hasattr(process,'mix') and hasattr(process.mix,'digitizers') and hasattr(process... |
[
"in self.parts: remaining_params = body.update_params(remaining_params) if self.worldbody: self.update_initial_position() else: return remaining_params def get_body_names(self):",
"self.set_params(new_params) self.update_xml() def get_smallest_z(self): pass def get_param_limits(self): pass def get_param_names(sel... |
[
"Any Dependencies From The Service Container ''' self.request = Request def before(self): '''",
"import Auth class LoadUserMiddleware: ''' Middleware class which loads the current user into",
"loads the current user into the request ''' def __init__(self, Request): ''' Inject",
"self.request def after(self): ... |
[
"\"Fake Player2\", team=\"blue\") connected_players(player1, player2) self.setup_balance_ratings({(player1, 900), (player2, 799)}) when(self.db).get(any).thenReturn(\"3\") when(self.db).delete(any).thenReturn(None) when(self.db).exists(any).thenReturn(False) when(self.db).incr(any).thenReturn(None)",
"801), (play... |
[
"appId = '<KEY>' # 9.1. 创建荣联云 实例对象 sdk = SmsSDK(accId, accToken, appId) tid",
"9.1. 创建荣联云 实例对象 sdk = SmsSDK(accId, accToken, appId) tid = '1' # 我们发送短信的模板,值",
"tid = '1' # 我们发送短信的模板,值 只能是 1 因为我们是测试用户 mobile = '%s' % mobile",
"10) # ('变量1', '变量2') 涉及到模板的变量 # 您的验证码为{1},请于{2} 分钟内输入 # 您的验证码为666999,请于5 分钟内输入 # 9.2.... |
[
"return [] def getFunctionName(): functionname = view.find_by_selector('entity.name.function') functionnamefiltered = [ n for n",
"= view.find_by_selector( 'meta.function.parameters.delphi') param_name_region = view.find_by_selector( 'variable.parameter.function.delphi') params_region_filt = [ s for s",
"def me... |
[
"_createTensorFlowSavedModel(name_scope, save_path): \"\"\"Create a TensorFlow SavedModel for testing. Args: name_scope: Name scope to",
"Unless required by applicable law or agreed to in writing, software # distributed",
"which to save the model. \"\"\" graph = tf.Graph() with graph.as_default(): with tf.compa... |
[
"if not DEFAULTSKIN == '': if os.path.exists(os.path.join(ADDONS, DEFAULTSKIN)): if DIALOG.yesno(AddonTitle, \"[COLOR %s]It seems",
"control.loga(\"Invalid Skin Check Start\") DEFAULTSKIN = setting('defaultskin') DEFAULTNAME = setting('defaultskinname') DEFAULTIGNORE = setting('defaultskinignore')",
"= skinlist... |
[
"seealso:: accessory_driver.publish \"\"\" self.broker.publish(self.value, self, sender_client_addr) # pylint: disable=invalid-name def to_HAP(self): \"\"\"Create a",
"\"unit\" PROP_VALID_VALUES = \"ValidValues\" PROP_NUMERIC = (PROP_MAX_VALUE, PROP_MIN_VALUE, PROP_MIN_STEP, PROP_UNIT) class CharacteristicError(E... |
[
"dataset_type = 'UNITER_VqaDataset' data_root = '/home/datasets/mix_data/UNITER/VQA/' train_datasets = ['train'] test_datasets = ['minival'] #",
"train_batch_size=20480, # 5120, val_batch_size=40960, # 10240, ) BUCKET_SIZE = 8192 train_data = dict(",
"val_txt_db=data_root + 'vqa_devval.db', val_img_db=data_root... |
[
"from django.conf.urls.static import static from django.contrib import admin from django.urls import path, include,",
"from django.contrib import admin from django.urls import path, include, re_path from django.views.generic import",
"import settings from django.conf.urls.static import static from django.contri... |
[
"7) self.right_layout.addWidget(self.in_smtp_password, 3, 4, 1, 7) self.right_layout.addWidget(self.cb_smtp_ssl, 4, 4, 1, 7) self.right_layout.addWidget(self.in_smtp_test, 5,",
"self.tbw_logs.setItem(i, j, item) except: QMessageBox.warning(self, 'Failed!', '資料庫連結失敗！', QMessageBox.Ok) else: db.__disconnect__() def... |
[
"is None: # no option specified, default to valid mode self.pad = (0,",
"self.filter_size[0], self.filter_size[1]) def get_params(self): return [self.W] + self.get_bias_params() def get_bias_params(self): return [self.b] if",
"elif border_mode is None and pad is None: # no option specified, default",
"- 1, se... |
[
"4. add a post and restrict visibility to followers only c.begin_tx() c.create_node('post') c.set_node_property('type',",
"ad.properties assert '25' in ad.properties['age'] assert 'e1' in ad.out_edges print 'Correctly executed 11",
"'ad688' in ad.aliases assert 'type' in ad.properties assert 'user' in ad.proper... |
[
"set_colored_logger(verbosity_level): class ColoredFormatter(logging.Formatter): def format(self, record): if record.levelname in COL: record.levelname = COLOR_SEQ",
"for colored diffs\") print(u'\\n'.join(diff)) except UnicodeDecodeError: print(u\"Only in first\", unicode(sorted_first)) print(u\"Only in second\"... |
[
"procfs DIPTBLS = (1 << 5) # iptables DNONLOC = (1 << 6)",
"(1 << 10) # Packet mangling DPCAP = (1 << 11) # Pcap",
"DDPFV = (1 << 8) # DPF (Dynamic Port Forwarding) Verbose DIPNAT =",
"DNFQUEUE: 'NFQUEUE', DGENPKT: 'GENPKT', DGENPKTV: 'GENPKTV', DCB: 'CB', DPROCFS: 'PROCFS', DIPTBLS: 'IPTABLES', DNONLOC:",
... |
[
"epochs) with tf.Session() as sess: summary_writer = tf.train.SummaryWriter( sum_dir, sess.graph) sess.run(tf.initialize_all_variables()) steps =",
"the model rnn_model = MultiRnn( cell_type, state_size, output_size, batch_size, num_layer, learning_rate, num_steps) #",
"for training the model ''' import tensorf... |
[
"if all_daemons_healthy(instance, heartbeat_tolerance_seconds=_get_heartbeat_tolerance()): click.echo(\"Daemon healthy\") else: click.echo(\"Daemon not healthy\") sys.exit(1) @click.command( name=\"liveness-check\", help=\"Check",
"@click.group( commands={\"heartbeat\": debug_heartbeat_command, \"heartbeat-dump\"... |
[
"in Teams(): print(team.name) for player in team.roster.players: print(player.name) for game in team.schedule: print(game.dataframe)",
"sys.path.append(os.path.dirname(os.path.dirname(sys.path[0]))) from sportsreference.nfl.teams import Teams for team in Teams(): print(team.name) for player in",
"team in Teams(... |
[
"0, 0, 1, 0, 0, omega] # parameters of the plane wave ex,",
"bx = bx.reshape((nx, ny)) by = by.reshape((nx, ny)) bz = bz.reshape((nx, ny)) ex",
"np.linspace(x0, x1, nx) ys = np.linspace(y0, y1, ny) # 2d array of (x,",
"0] for x in xs for y in ys ] ) # for",
"# lambdas y0 = 0 y1 = 20 # lambdas xs = np.linspa... |
[
"batch in tqdm.tqdm(test_aug_gen, desc=\"live augumentations batch\"): xs, ys = batch var_f = predict_func(xs)",
"np.save(os.path.join(dn, \"binary_labels.npy\"), labels) np.save(os.path.join(dn, \"uncertainties.npy\"), uncertainties) with open(os.path.join(dn, \"results.txt\"), \"w\") as f: for",
"random_state... |
[
"fa-list'), ParentItem( label='Generate new JAXid''s', url=f'/{APP_NAME}/manage/id_generate/jaxiddetail/import/', permissions='id_generate.change_jaxiddetail', icon='fa fa-rocket'), ParentItem( label='Generate new Box",
"right form_submit_on_right = False # Hide name/\"original\" column for all tabular inlines. #... |
[
"pretrained[\"model_weights\"][\"binary_dense_5\"][\"binary_dense_5\"][\"Variable_8:0\"] pret_c9 = pretrained[\"model_weights\"][\"binary_dense_5\"][\"binary_dense_5\"][\"Variable_9:0\"] pret_c10= pretrained[\"model_weights\"][\"binary_dense_5\"][\"binary_dense_5\"][\"Variable_10:0\"] pret_c11= pretrained[\"model_w... |
[
"of classifiers (some may be abstract?): # ADTree, AODE, BayesNet, ComplementNaiveBayes, ConjunctiveRule, #",
"java(cmd, classpath=_weka_classpath, stdout=subprocess.PIPE, stderr=subprocess.PIPE) # Check if something went wrong: if stderr and",
"to find weka.jar! Use config_weka() ' 'or set the WEKAHOME environ... |
[
"= df.columns.tolist() for name in xnames: if name == yname: xnames.remove(yname) else: X",
"axis=0) # _vars = np.var(data, axis=0) # _maxs = np.max(data, axis=0) # _mins",
"output file path :type filename: str :param sep: The fields separator, defaults to",
"= X self.Y = Y self.xnames = xnames if xnames else... |
[
"16515072 RIGHT = -9004 VSPI = 2 WHITE = 16579836 YELLOW = 16579584",
"16564426 PORTRAIT = 0 PORTRAIT_FLIP = 2 PURPLE = 8388736 RED = 16515072",
"BMP = 2 BOTTOM = -9004 CENTER = -9003 COLOR_BITS16 = 16 COLOR_BITS24",
"= 255 BMP = 2 BOTTOM = -9004 CENTER = -9003 COLOR_BITS16 =",
"CYAN = 65535 DARKCYAN = 3289... |
[
".ClustersClient import ClustersClient from .WorkspaceClient import WorkspaceClient from .ScimClient import ScimClient from .LibraryClient",
"datetime from cron_descriptor import get_description from .dbclient import dbclient from .JobsClient import JobsClient",
"import get_description from .dbclient import dbc... |
[
"distributed in the hope that it will be useful, # but WITHOUT ANY",
"Copyright (C) 2018 <NAME> # Website: http://www.perryleijten.com # # This program is free",
"PURPOSE. See the # GNU General Public License for more details. # #",
"either version 3 of the License, or # (at your option) any later",
"by # t... |
[
"Any, Literal from fritzconnection.core.exceptions import ( FritzActionError, FritzActionFailedError, FritzConnectionException, FritzInternalError, FritzServiceError, ) from",
"| None) -> datetime: \"\"\"Calculate uptime with deviation.\"\"\" delta_uptime = utcnow() - timedelta(seconds=seconds_uptime)",
"), ) a... |
[
"ifc_class, ifc_abstract_class, ifc_fallback_class @ifc_abstract_class class IfcEntity: \"\"\" Generic IFC entity, only for subclassing",
"@ifc_class class REAL(IfcScalarValue): pass @ifc_class class BINARY(IfcScalarValue): pass @ifc_class class INTEGER(IfcScalarValue): pass @ifc_class",
"__str__(self): return ... |
[
"self.STATUS_NORMAL if self.congestion_status is self.STATUS_CONGESTED: if ma_med < self.congestion_await_sustained: self.congestion_status = self.STATUS_BUILDING def",
"ma_sma, ma_med, ma_lar, self.congestion_await_sustained)) return self.congestion_status def set_data_caps(self, element, cap): if element in",
... |
[
"Run eval after every epoch. # eval_steps=(len(train_dataset) // config[\"per_gpu_train_batch_size\"]) + # 1, #",
"Unless required by applicable law or agreed to in writing, software # distributed",
"[16, 32, 64], }) reporter = CLIReporter( parameter_columns={ \"weight_decay\": \"w_decay\", \"learning_rate\": \... |
[
"# path = encodeString('/dev/null') sock.sendall(bytearray(b'\\x0A')) # HASH request # sock.sendall(bytearray(b'\\x01')) # choose MD5",
"# len of path as unsigned short sock.sendall(path) resp = sock.recv(1) # response",
"= get_connected_local_socket() path = encodeString('/dev/shm/exampleDir') # path = encodeS... |
[
"# Generated by Django 1.11.13 on 2018-09-11 10:05 from __future__ import unicode_literals import",
"[ ('investment_report', '0019_auto_20180820_1304'), ] operations = [ migrations.AddField( model_name='contact', name='website_href', field=models.URLField(default='https://invest.great.gov.uk/contact/', help_text=... |
[
"assert blosc.set_nthreads(2) == 1 for d in threadpoolctl.threadpool_info(): assert d[\"num_threads\"] == 1, d",
"to 1.\"\"\" import numexpr import blosc import threadpoolctl # APIs that return previous",
"# APIs that return previous number of threads: assert numexpr.set_num_threads(2) == 1 assert",
"blosc im... |
[
"= fig.add_subplot(221) plt.pcolormesh(x, y, 10*numpy.log10(StokesI), label=\"I\") #plt.pcolormesh(x, y, StokesI, label=\"I\") plt.colorbar() ax1.set_title('I (dB)')",
"<gh_stars>1-10 #!/usr/bin/env python \"\"\"A simple viewer for Stokes patterns based on two far-field",
"tvf_p.load_ffe(p_chan_file) tvf_q.load... |
[
"os import sys import time import math import torch import torch.nn as nn",
"sys.stdout.write(' ') # Go back to the center of the bar. for i",
"int(TOTAL_BAR_LENGTH*current/total) rest_len = int(TOTAL_BAR_LENGTH - cur_len) - 1 sys.stdout.write(' [') for i in",
"set_lr : set the learning rate - clip_gradient :... |
[
"ngrid self._modulus = [(ngrid - 1) ** (ndim - j - 1) for",
"(self.ngrid - 1)) if len(vector.shape) > 1: grids = np.empty((len(vector),) + grid_shape) for",
"in range(len(vector)): grid[tuple(self.convert_to_grid_idx(idx))] = vector[idx] return grid def convert_to_grid_idx(self, bin_idx): if bin_idx >=",
"for... |
[] |
[
"isinstance(qub, self.supported_qubit_type): raise ValueError( '{} is not a valid qubit for gate {!r}.",
"raise ValueError(\"Qubit not part of the device.\") if isinstance(p, GridQubit): return np.sqrt((p.row -",
"unknown operation:', op) return op in self.gateset def validate_operation(self, operation: cirq.Op... |
[
"if isinstance(col, flex.miller_index): col = col.as_vec3_double() rows.append( [ k, formats.get(k, \"%s\") % col.min(),",
"== 1: return \"\" text = [] text.append(\"Experiment / Models\") text.extend(model_connectivity_impl(experiments, \"detector\")) text.extend(model_connectivity_impl(experiments,",
"zip(*xy... |
[
"SHUFFLE_WITH_PERMUTATIONS = 2 SHUFFLE_WITH_PERMUTATIONS_WITH_FILTERS = 3 SHUFFLE_WITH_UNNAMED = 4 SHUFFLE_LEVELS = { PipelineLayer.MINE:",
"{ \"type\": PipelineType.PRODUCER, \"dico\": [\"granulation.name\", \"granulation.process\", \"granulation.product\", \"granulation.capex\", \"granulation.input\"], \"option... |
[
"str date : int month : str headline : str category : str",
"'pics') desc = models.TextField() price = models.IntegerField() offer = models.BooleanField(default = False) class",
"Create your models here. class Destination(models.Model) : name = models.CharField(max_length = 100) img",
"Destination(models.Mode... |
[
"'textAlign': 'center', 'margin-top': '75px', 'margin-left': '370px', } ), html.Div(id='mon-image'), html.Div(id='ma-zone-resultat') ]) @app.callback(Output('mon-image', 'children'),",
"def classify_image(image, model, image_box=None): \"\"\"Classify image by model Parameters ---------- content: image content",
... |
[
"requests from django.conf import settings class rakuten: def get_json(self, isbn: str) -> dict:",
"!= 200: # if failed return None data = json.loads(r.text) if data['count'] ==",
"code status_code = r.status_code if status_code != 200: # if failed return None",
"appid=appid) # execute r = requests.get(url) #... |
[] |
[
"'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, *, value: Optional[List[\"RoleDefinition\"]] =",
"None, operations: Optional[List[\"ProviderOperation\"]] = None, **kwargs ): super(ResourceType, self).__init__(**kwargs) self.name = name self.display_name",
"Optional[bool] = None, **kwargs... |
[
"return render(request,'school/teacher_view_attendance_page.html',{'cl':cl,'mylist':mylist,'date':date}) else: print('form invalid') return render(request,'school/teacher_view_attendance_ask_date.html',{'cl':cl,'form':form}) @login_required(login_url='teacherlogin') @user_passes_test(is_teacher) def teacher_notice_... |
[
"= self.net.bb_regressor self.layer_stride = { 'conv0': 2, 'conv1': 2, 'block0': 4, 'block1': 8,",
"to output. net_path: Relative or absolute net path (default should be fine). use_gpu:",
"= os.path.join(env_settings().network_path, self.net_path) self.net = SiamMask_ResNet50_base(backbone_pretrained=False, is_... |
[
"0 for s in toStateList: if s == state: t1List.append(time1List[indx]) t2List.append(time2List[indx]) sList.append(0.10 +",
"axis == 1: self.y1LogScale = v else: self.y2LogScale = v return #--- SetPlot(xbeg,xend,xinc,ybeg,yend,yinc,xtitle,ytitle,title)",
"'+str(logOffset)+' add } ifelse }' else: logFlag = 0 v =... |
[
"django.db import migrations class Migration(migrations.Migration): dependencies = [ ('exercises', '0002_auto_20161128_1718'), ] operations =",
"# -*- coding: utf-8 -*- # Generated by Django 1.10.3 on 2016-11-28 06:53",
"2016-11-28 06:53 from __future__ import unicode_literals from django.db import migrations c... |
[
"# # Licensed under the Apache License, Version 2.0 (the \"License\"); # you",
"writing, software # distributed under the License is distributed on an \"AS IS\"",
"= r\"^__version__ = ['\\\"]([^'\\\"]*)['\\\"]\" match = re.search(VSRE, version_string_line, re.M) if match: version_string =",
"KIND, either expr... |
[
"structure here. \"\"\" self.hi = [] self.lo = [] def addNum(self, num: int)",
"heappush(self.hi, -heappop(self.lo)) def findMedian(self) -> float: if len(self.hi) > len(self.lo): return self.hi[0] if",
"295 find median from data stream hard \"\"\" from heapq import * class",
"len(self.lo): return (self.hi[0]... |
[
"1.0) ball3 = world.addSphere(0.1499, 0.8, \"steel\") ball3.setPosition(0.6, 0.0, 1.0) ball4 = world.addSphere(0.1499, 0.8,",
"= world.addCompliantWire(pin5, 0, np.zeros(3), box, 0, np.zeros(3), 2.0, 200) wire5.setStretchType(raisim.StretchType.BOTH) wire6 = world.addCompliantWire(pin6,",
"0.8) pin1.setAppearan... |
[
"raise exception.VolumeAttachFailed( volume_id=connection_info['serial'], reason=ex) else: LOG.warning( _LW(\"Failed to attach volume %(connection_info)s \" \"to",
"mapping = driver.block_device_info_get_mapping(block_device_info) for vol in mapping: connection_info = vol['connection_info'] volume_driver = self._... |
[
"= banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 ) big_loan_term=len(loan_term[loan_term>=25]) print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_History'] loan_groupby=banks.groupby(['Loan_Status'])[columns_to_show] #",
"print(big_loan_term) columns_to_show = ['ApplicantIncome', 'Credit_His... |
[
"model_dict.update(cap_state_dict) model.load_state_dict(model_dict) optimizer = ScheduledOptim(optim.Adam(filter(lambda x: x.requires_grad, model.parameters()), betas=(0.9, 0.98), eps=1e-09), 512, opt['warm_up_steps'])",
"cms_loss /= n_word loss = cms_loss + cap_loss loss.backward() optimizer.step_and_update_lr(... |
[
"\"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==\" url = \"http://localhost:9999\" client = InfluxDBClient(url=url, token=token, org=org) writeApi = client.write_api() write_api.write(\"my-bucket\",",
"token = \"miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ... |
[
"def test_wrap_long_line(self): class Foobar(object): a = \" \" * 90 output = StringIO()",
"KIND, either express or implied. # See the License for the specific language",
"Unless required by applicable law or agreed to in writing, software # distributed",
"textwrap import dedent try: from unittest.mock import... |
[
"def klSigmode(self): \"\"\"查找模式\"\"\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode = 'dealOpen' else: self.canvas.updateSig(self.signals)",
"klSigmode(self): \"\"\"查找模式\"\"\" if self.mode == 'deal': self.canvas.updateSig(self.signalsOpen) self.mode = 'dealOpen' else: self.canvas.upda... |
[
"exportSHP) # Convert to B&W road_network = image.copy() road_network[road_network < 254] = 0",
"'C', 41, 0) w.field('note', 'C', 32, 0) for i in range(len(simple_ways)): w.line([simple_ways[i]]) w.record('01',",
"= [3, 7] elif direction == 3: wrong_paths = [2, 8] elif direction",
"= 15, return_simple_ways = ... |
[
"mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input.return_value = 'two' self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input')",
"self.assertEquals(cli.check_input('prompt', default='one'), 'two') @patch('builtins.input'... |
[
"= RandomSampler(train_data) self.train_dataloader = DataLoader( train_data, sampler=train_sampler, batch_size=self.batch_size ) validation_data = TensorDataset( self.german_data.validation_inputs,",
"= { \"train\": \"./datasets/hasoc_dataset/hasoc_german_train.csv\", \"dev\": \"./datasets/hasoc_dataset/hasoc_ger... |
[
"list(range(num_train)) split = int(np.floor(val_size * num_train)) np.random.seed(val_seed) np.random.shuffle(indices) train_idx, valid_idx = indices[split:], indices[:split]",
"= data.ConcatDataset( [mnist_test_dataset, AmbiguousMNIST(root=root, train=False, device=device),] ) test_loader = torch.utils.data.Dat... |
[
"username/email from request' body = request.get_json() username = body.get(\"username\") email = body.get(\"email\") if",
"flasgger import swag_from from http import HTTPStatus from pathlib import Path from sqlalchemy.orm.exc",
"from pathlib import Path from sqlalchemy.orm.exc import NoResultFound from vantage... |
[
"(example: 'eu-west-1') \"aws_access_key_id\": None, # specify AWS access key (example: '<KEY>') \"aws_secret_access_key\": None,",
"service.log(\"middleware after\") return return_value class ExampleAWSSNSSQSService(tomodachi.Service): name = \"example-aws-sns-sqs-service\" log_level = \"INFO\" uuid",
"options... |
[
"{do_not}.\" print(x) print(y) print(f\"I said: {x}\") print(f\"I also said: '{y}'\") hilarious = False",
"{types_of_people} types of people.\" binary = \"binary\" do_not = \"don't\" y = f\"Those",
"binary = \"binary\" do_not = \"don't\" y = f\"Those who know {binary} and",
"False joke_evaluation = \"Isn't th... |
[
"as f: f.write(self.emit()) with open(data_output_path, 'wb') as f: np.save(f, self.data) return code_output_path, data_output_path",
"def emit_imports(self): return self.statement('from dlconv.%s import %s\\n' % (self.target, self.net)) def emit_class_def(self, name):",
"in self.graph.topologically_sorted(): a... |
[
"len(matrix) if rows == 0: return 0 columns = len(matrix[0]) res = 0",
"并返回其面积。 \"\"\" from typing import List class Solution: def maximalRectangle(self, matrix: List[List[str]]) ->",
"leetcode-85 给定一个仅包含 0 和 1 , 大小为 rows x cols 的二维二进制矩阵, 找出只包含 1",
"max(res,self.largestRectangleArea(heights)) def largestRecta... |
[
"< 1e-3 # check and assert result def test_get_costs(): \"\"\" Testing a very",
"(IEE), Kassel. All rights reserved. import numpy as np import pytest from pandapower.optimal_powerflow",
"def test_get_costs(): \"\"\" Testing a very simple network for the resulting cost value",
"assert net.res_cost - net.res_sg... |
[
"= redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def cookie_refresh(): while 1:",
"red.smembers(config.REDIS_KEY_COOKIE) if len(cookie_list) >= config.COOKIE_COUNT: break cookie_login.run_cookie_login(1) app.logger.info(\"[cookie数量正常]-[%s]\"... |
[
"TransientOnline from feemodel.app.pools import PoolsOnlineEstimator from feemodel.app.predict import Prediction from feemodel.app.simonline import SimOnline",
"import PoolsOnlineEstimator from feemodel.app.predict import Prediction from feemodel.app.simonline import SimOnline __all__ = [",
"feemodel.app.pools ... |
[
"import models from djng.forms import NgModelFormMixin, NgFormValidationMixin from djng.styling.bootstrap3.forms import Bootstrap3ModelForm class SubscribeUser(models.Model):",
"permit = models.FileField(\"Permit\", blank=True, null=True) class SubscribeForm(NgModelFormMixin, NgFormValidationMixin, Bootstrap3Mode... |
[
"distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY",
"add_broadcast_compute(input_a, input_b): \"\"\"Call the add op from topi\"\"\" return topi.add(input_a, input_b) def subtract_broadcast_compute(input_a,",
"License for the # specific language governing permissions and limitations #... |
[
"\"r\") as f: versions = yaml.safe_load(f.read()) image_info = versions.get(python_version, {}) docker_args = image_info.get(\"docker_args\",",
"Docker arguments from this image's versions.yaml, and update with latest Dagster version. Also,",
"self._get_last_updated_for_python_version(python_version) tag = pyth... |
[
"lang == 'es' and region == 'es': return 'es-419' if lang == 'zh':",
"import cros_interface from telemetry.unittest import options_for_unittests class CrOSAutoTest(unittest.TestCase): def setUp(self): options = options_for_unittests.GetCopy()",
"self._is_guest = options.browser_type == 'cros-chrome-guest' self.... |