improved readibility, fixed negative coordinates, improved output
This commit is contained in:
Martin Diehl
parent
3da023a1ba
commit
f2d9d66129
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@ -37,7 +37,6 @@ class myThread (threading.Thread):
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self.threadID = threadID
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def run(self):
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global mismatch
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global bestSeedsUpdate
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global bestSeedsVFile
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global nMicrostructures
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@ -48,7 +47,7 @@ class myThread (threading.Thread):
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global baseFile
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s.acquire()
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myMatch = match
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bestMatch = match
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s.release()
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random.seed(options.randomSeed+self.threadID)
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@ -59,11 +58,11 @@ class myThread (threading.Thread):
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perturbedSeedsVFile = StringIO()
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perturbedGeomVFile = StringIO()
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while not match:
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while bestMatch < options.threshold:
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# if a better seed file exist, read it into a virtual file
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s.acquire()
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if bestSeedsUpdate > knownSeedsUpdate:
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print 'Thread %i: '%self.threadID+'Reading new best seeds from', bestSeedsUpdate
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#print 'Thread %i: '%self.threadID+'Reading new best seeds from', bestSeedsUpdate
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knownSeedsUpdate = bestSeedsUpdate
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bestSeedsVFile.reset()
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myBestSeedsVFile.close()
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@ -95,8 +94,8 @@ class myThread (threading.Thread):
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if ms == selectedMs:
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direction+=direction
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newCoords=np.array(tuple(map(float,perturbedSeedsTable.data[0:3]))+direction)
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np.where(newCoords>=1.0,newCoords-1.0,newCoords)
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np.where(newCoords <1.0,newCoords+1.0,newCoords)
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newCoords=np.where(newCoords>=1.0,newCoords-1.0,newCoords)
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newCoords=np.where(newCoords <1.0,newCoords+1.0,newCoords)
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#print ms,perturbedSeedsTable.data[0:3],'-->',[format(f, '8.6f') for f in newCoords]
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perturbedSeedsTable.data[0:3]=[format(f, '8.6f') for f in newCoords]
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ms+=1
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@ -123,44 +122,48 @@ class myThread (threading.Thread):
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currentError.append(np.sqrt(np.square(np.array(target[i]['histogram']-currentHist[i])).sum()))
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s.acquire()
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myMatch = match
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print 'Thread %i: finished tessellation (%i microstructures)'%(self.threadID, myNmicrostructures)
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if currentError[nMicrostructures-1] == 0.0:
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print 'finished'
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match = True
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if match: return
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bestMatch = match
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#print 'Thread %i: finished tessellation (%i microstructures)'%(self.threadID, myNmicrostructures)
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myMatch=0
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for i in xrange(nMicrostructures):
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if currentError[i] > 0.0: break
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myMatch = i+1
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if myNmicrostructures != nMicrostructures:
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print 'microstructure mismatch %i'%myNmicrostructures
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print 'Thread %i: Microstructure mismatch (%i microstructures mapped)'%(self.threadID,myNmicrostructures)
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randReset = True
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else:
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for i in xrange(nMicrostructures):
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ratio = target[i]['error']/currentError[i]
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if currentError[i] > target[i]['error']:
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print '%i decreased quality to %8.6f'%(i+2,ratio)
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print 'target',target[i]['histogram']
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print 'current',currentHist[i]
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#print '%i decreased quality to %8.6f'%(i+1,ratio)
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#print 'target',target[i]['histogram']
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#print 'current',currentHist[i]
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randReset = True
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break
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elif currentError[i] < target[i]['error']:
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bestSeedsUpdate = time.time()
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print '%i increased quality to %8.6f'%(i+2,ratio)
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print 'target',target[i]['histogram']
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print 'current',currentHist[i]
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print 'Thread', self.threadID, 'new best fit. time,', bestSeedsUpdate
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print 'Thread %i: Better match (%i bins, %6.4f --> %6.4f)'%(self.threadID,i+1,target[i]['error'],currentError[i])
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print ' target: ',target[i]['histogram']
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print ' best: ',currentHist[i]
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currentSeedsName = baseFile+'_'+str(bestSeedsUpdate).replace('.','-')
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perturbedSeedsVFile.reset()
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bestSeedsVFile.close()
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bestSeedsVFile = StringIO()
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sys.stdout.flush()
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with open(currentSeedsName+'.seeds','w') as currentSeedsFile:
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for line in perturbedSeedsVFile:
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currentSeedsFile.write(line)
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bestSeedsVFile.write(line)
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for j in xrange(nMicrostructures):
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target[j]['error'] = currentError[j]
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if myMatch > match:
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print 'Stage %i cleared'%(myMatch)
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match=myMatch
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sys.stdout.flush()
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break
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if i == nMicrostructures-1: print 'continue along trajectory '
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if i == nMicrostructures-1:
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print 'Thread %i: Continue along trajectory'%(self.threadID)
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s.release()
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@ -185,8 +188,8 @@ parser.add_option('-r', '--rnd', dest='randomSeed', type='int', metavar='int
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help='seed of random number generator [%default]')
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parser.add_option('--target', dest='target', metavar='string',
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help='name of the geom file with target distribution [%default]')
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parser.add_option('--tolerance', dest='threshold', type='float', metavar='float',
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help='stopping criterion [%default]')
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parser.add_option('--tolerance', dest='threshold', type='int', metavar='int',
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help='stopping criterion (bin number) [%default]')
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parser.add_option('--scale', dest='scale',type='float', metavar='float',
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help='maximum moving distance of perturbed seed in pixel [%default]')
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@ -196,7 +199,7 @@ parser.set_defaults(grid = (64,64,64))
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parser.set_defaults(threads = 2)
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parser.set_defaults(randomSeed = None)
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parser.set_defaults(target = 'geom')
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parser.set_defaults(threshold = 1.0)
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parser.set_defaults(threshold = 20)
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parser.set_defaults(scale = 1.0)
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@ -211,24 +214,19 @@ points = float(reduce(mul,options.grid))
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# ----------- calculate target distribution and bin edges
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targetGeomVFile=StringIO()
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with open(os.path.splitext(os.path.basename(options.target))[0]+'.geom') as targetGeomFile:
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targetGeomTable = damask.ASCIItable(targetGeomFile,targetGeomVFile,labels=False)
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targetGeomTable = damask.ASCIItable(targetGeomFile,labels=False)
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targetGeomTable.head_read()
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targetGeomTable.head_write()
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for i in targetGeomTable.info:
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if i.startswith('microstructures'): nMicrostructures = int(i.split()[1])
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if i.startswith('grid'): targetPoints = float(int(i.split()[2])*\
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int(i.split()[4])*\
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int(i.split()[6]))
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if i.startswith('grid'): targetPoints = np.array(map(float,i.split()[2:7:2])).prod()
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targetGeomTable.data_readArray()
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targetGeomTable.data_writeArray()
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targetData = np.bincount(targetGeomTable.data.astype(int).ravel())[1:nMicrostructures]/targetPoints
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targetVolFrac = np.bincount(targetGeomTable.data.astype(int).ravel())[1:nMicrostructures+1]/targetPoints
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target=[]
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for i in xrange(1,nMicrostructures+1):
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targetHist,targetBins = np.histogram(targetData,bins=i)
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targetHist,targetBins = np.histogram(targetVolFrac,bins=i) #bin boundaries
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target.append({'histogram':targetHist,'bins':targetBins})
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targetGeomVFile.close()
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# ----------- create initial seed file or open existing one
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bestSeedsVFile = StringIO()
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@ -258,11 +256,16 @@ initialData = np.bincount(initialGeomTable.data.astype(int).ravel())[1:]/points
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for i in xrange(nMicrostructures):
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initialHist = np.histogram(initialData,bins=target[i]['bins'])[0]
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target[i]['error']=np.sqrt(np.square(np.array(target[i]['histogram']-initialHist)).sum())
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print target[i]['histogram']
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print initialHist
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print target[i]['error'],'\n-----------------------------------'
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#print target[i]['histogram']
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#print initialHist
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#print target[i]['error'],'\n-----------------------------------'
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match = target[nMicrostructures-1]==0.0
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match=0
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for i in xrange(nMicrostructures):
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if target[i]['error'] > 0.0: break
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match = i+1
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print 'Stage %i cleared'%match
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initialGeomVFile.close()
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