# measure renderer performance, writing to log file def testTimeSpectrogram(): ds= getDataSet('file:///home/jbf/ct/hudson/data/cdf/CSA_Download_20140430_1317/C3_CP_PEA_PITCH_FULL_DPFlux/C3_CP_PEA_PITCH_FULL_DPFlux__20020430_065000_20020430_151000_V111128.cdf?Data_LEEA__C3_CP_PEA_PITCH_FULL_DPFlux') plot( ds ) from java.lang.System import currentTimeMillis as ctm avg= 0. navg= 0 for i in xrange(10): t0= ctm() dom.plots[0].xaxis.range= dom.plots[0].xaxis.range.rescale( -0.01, 0.99 ) waitUntilIdle() t= ctm()-t0 avg=avg + t navg= navg+ 1 for i in xrange(10): t0= ctm() dom.plots[0].xaxis.range= dom.plots[0].xaxis.range.rescale( 0.01, 1.01 ) waitUntilIdle() t= ctm()-t0 avg=avg + t navg= navg+ 1 return 1.*avg/navg def testSliceSpectrogram(): ds= getDataSet('file:///home/jbf/ct/hudson/data/cdf/CSA_Download_20140430_1317/C3_CP_PEA_PITCH_FULL_DPFlux/C3_CP_PEA_PITCH_FULL_DPFlux__20020430_065000_20020430_151000_V111128.cdf?Data_LEEA__C3_CP_PEA_PITCH_FULL_DPFlux') plot( ds ) from java.lang.System import currentTimeMillis as ctm avg= 0. navg= 0 for i in xrange(12): t0= ctm() dom.plotElements[0].component= "|slices(':',1,%d,':')" % i waitUntilIdle() t= ctm()-t0 avg=avg + t navg= navg+ 1 for i in xrange(10): t0= ctm() dom.plotElements[0].component= "|slices(':',1,%d,':')" % (9-i) waitUntilIdle() t= ctm()-t0 avg=avg + t navg= navg+ 1 return 1.*avg/navg def testTimeSeries(): ds= getDataSet('file:///home/jbf/ct/hudson/data/cdf/CSA_Download_20140430_1317/C3_CP_PEA_PITCH_FULL_DPFlux/C3_CP_PEA_PITCH_FULL_DPFlux__20020430_065000_20020430_151000_V111128.cdf?Data_LEEA__C3_CP_PEA_PITCH_FULL_DPFlux') plot( ds ) dom.plotElements[0].component= "|slices(':',1,':',22)" from java.lang.System import currentTimeMillis as ctm from org.autoplot import RenderType dom.plotElements[0].renderType= RenderType.series waitUntilIdle() avg= 0. navg= 0 for i in xrange(10): t0= ctm() dom.plots[0].xaxis.range= dom.plots[0].xaxis.range.rescale( -0.01, 0.99 ) waitUntilIdle() t= ctm()-t0 avg=avg + t navg= navg+ 1 for i in xrange(10): t0= ctm() dom.plots[0].xaxis.range= dom.plots[0].xaxis.range.rescale( 0.01, 1.01 ) waitUntilIdle() t= ctm()-t0 avg=avg + t navg= navg+ 1 return 1.*avg/navg t= TimeUtil.now() t1= testTimeSpectrogram() t2= testSliceSpectrogram() t3= testTimeSeries() f= open( '/home/jbf/ct/hudson/log/renderPerformance.dat', "a" ) f.write( '%s,%.1f,%.1f,%.1f\n' % ( t, t1,t2,t3 ) ) f.close()