#!/usr/bin/python -tt # ******************************** # Test script for the CalFits class # # written by Thomas Kraehenbuehl, ETH Zurich # tpk@phys.ethz.ch, +41 44 633 3973 # April 2012 # ******************************** datafilename = '/fact/raw/2012/04/17/20120417_004.fits.gz' calibfilename = '/fact/raw/2012/04/17/20120417_003.drs.fits.gz' import numpy as np from scipy import weave from scipy.weave import converters from ROOT import gSystem gSystem.Load("calfits_h.so") from ROOT import * print "Testing object creation: " caltest = CalFits(datafilename,calibfilename) npcalevent = np.empty( caltest.npix * caltest.nroi, np.float64) #.reshape(caltest.npix ,caltest.nroi) caltest.SetNpcaldataPtr(npcalevent) print "Common variables:" print "ROI: ", caltest.nroi print "#Pix: ", caltest.npix print "Number of events: ", caltest.nevents print print "Information per Event:" caltest.GetCalEvent() print "Event ID: ", caltest.event_id print "Trigger type: ", caltest.event_triggertype print "Uncalibrated data: ", caltest.event_data print "Calibrated data: ", caltest.npcaldata print "Board times: ", caltest.event_boardtimes print "Trigger offsets: ", caltest.event_offset print print "Examples of other information" print "Calibfile ROI: ", caltest.calib_nroi print "Column size BaselineMean: ", caltest.calibfile.GetN("BaselineMean") print "Datafile ROI: ", caltest.data_nroi print "Data: ", caltest.datafile.GetN("Data") print "StartCellData: ", caltest.datafile.GetN("StartCellData") print "Direct datafile access: ", caltest.datafile.GetN("StartCellData") print print "Columns of the datafile: " caltest.datafile.PrintColumns() #AND WE HAVE A WINNER: 43 Hz with scipy.weave! while caltest.GetCalEvent(): c_integrals = np.zeros(40000, np.float64) #Allocate the memory for about 40000 singles if caltest.event_id>300: break cppcode = """ //ToDo: get nroi and npix, check singles<40000 double slice, lastslice, integral; int singles = 0; double threshold = 2.5; for(int px=0; px<1440; px++) { lastslice = npcalevent(px*300); for(int sl=1; sl<300-14; sl++) { slice = npcalevent(px*300+sl); if((lastslicethreshold)) { integral = 0; for(int l=5; l<15; l++) { integral += npcalevent(px*1440+sl+l); } c_integrals(singles) = integral; ++singles; // std::cout << sl << " "; } lastslice = slice; } } // std::cout << std::endl << singles << std::endl; """ weave.inline(cppcode, ['c_integrals', 'npcalevent'], type_converters=converters.blitz) # print "CalFitsPerformanceWeave" # for i in range(10): # print i, npcalevent[i], c_integrals[i] # for x in c_integrals: # if x: # print x, # #Old attempts using numpy functions # npcalevent = npcalevent.reshape((caltest.npix, caltest.nroi)) # npthr = npcalevent>2.5 #true if above threshold # npthr = npthr[:,1:-14] * np.logical_not(npthr[:,:-15]) #only true for the zero crossings, shape (1400,285) [smaller due to necessary integration range] ## print [(x,y) for x,y in zip(npthr.nonzero()[0],npthr.nonzero()[1])] #print the coordinates, range 0-1399,0-284 # # #Various versions to get the integral, all with approximately the same miserable speed (3 Hz), except for the last one (vectorized function) with ~4.3 Hz # #Missing: add deadtime after an integration, remove start & end of the array ## integrals = [np.sum(npcalevent[x,y+5:y+15]) for x,y in np.transpose(npthr.nonzero())] ## integrals = [np.sum(npcalevent[x,y+5:y+15]) for x,y in zip(npthr.nonzero()[0],npthr.nonzero()[1])] ## integrals = [np.sum(npcalevent[x,y+5:y+15]) for x,y in itertools.izip(npthr.nonzero()[0],npthr.nonzero()[1])] ## integrals = map((lambda index_a,index_b: np.sum(npcalevent[index_a,index_b+5:index_b+15])),npthr.nonzero()[0],npthr.nonzero()[1]) # integrals = vecoffsum(npthr.nonzero()[0],npthr.nonzero()[1]) # print len(integrals) # print caltest.event_id, caltest.event_triggertype, caltest.event_caldata[10] # pass del caltest