mirror of
https://github.com/cookiengineer/audacity
synced 2025-12-11 07:06:33 +01:00
Reverting r12850...hopefully
Never removed one before, but I'm pretty sure it is correct.
This commit is contained in:
lllucius
@@ -1,150 +1,150 @@
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#!/usr/bin/env python
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"""
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Run and graph the results of patest_suggested_vs_streaminfo_latency.c
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Requires matplotlib for plotting: http://matplotlib.sourceforge.net/
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"""
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import os
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from pylab import *
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import numpy
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from matplotlib.backends.backend_pdf import PdfPages
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testExeName = "PATest.exe" # rename to whatever the compiled patest_suggested_vs_streaminfo_latency.c binary is
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dataFileName = "patest_suggested_vs_streaminfo_latency.csv" # code below calls the exe to generate this file
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inputDeviceIndex = -1 # -1 means default
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outputDeviceIndex = -1 # -1 means default
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sampleRate = 44100
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pdfFilenameSuffix = "_wmme"
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pdfFile = PdfPages("patest_suggested_vs_streaminfo_latency_" + str(sampleRate) + pdfFilenameSuffix +".pdf") #output this pdf file
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def loadCsvData( dataFileName ):
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params= ""
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inputDevice = ""
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outputDevice = ""
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startLines = file(dataFileName).readlines(1024)
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for line in startLines:
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if "output device" in line:
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outputDevice = line.strip(" \t\n\r#")
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if "input device" in line:
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inputDevice = line.strip(" \t\n\r#")
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params = startLines[0].strip(" \t\n\r#")
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data = numpy.loadtxt(dataFileName, delimiter=",", skiprows=4).transpose()
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class R(object): pass
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result = R()
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result.params = params
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for s in params.split(','):
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if "sample rate" in s:
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result.sampleRate = s
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result.inputDevice = inputDevice
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result.outputDevice = outputDevice
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result.suggestedLatency = data[0]
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result.halfDuplexOutputLatency = data[1]
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result.halfDuplexInputLatency = data[2]
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result.fullDuplexOutputLatency = data[3]
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result.fullDuplexInputLatency = data[4]
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return result;
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def setFigureTitleAndAxisLabels( framesPerBufferString ):
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title("PortAudio suggested (requested) vs. resulting (reported) stream latency\n" + framesPerBufferString)
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ylabel("PaStreamInfo::{input,output}Latency (s)")
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xlabel("Pa_OpenStream suggestedLatency (s)")
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grid(True)
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legend(loc="upper left")
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def setDisplayRangeSeconds( maxSeconds ):
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xlim(0, maxSeconds)
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ylim(0, maxSeconds)
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# run the test with different frames per buffer values:
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compositeTestFramesPerBufferValues = [0]
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# powers of two
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for i in range (1,11):
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compositeTestFramesPerBufferValues.append( pow(2,i) )
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# multiples of 50
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for i in range (1,20):
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compositeTestFramesPerBufferValues.append( i * 50 )
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# 10ms buffer sizes
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compositeTestFramesPerBufferValues.append( 441 )
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compositeTestFramesPerBufferValues.append( 882 )
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# large primes
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#compositeTestFramesPerBufferValues.append( 39209 )
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#compositeTestFramesPerBufferValues.append( 37537 )
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#compositeTestFramesPerBufferValues.append( 26437 )
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individualPlotFramesPerBufferValues = [0,64,128,256,512] #output separate plots for these
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isFirst = True
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for framesPerBuffer in compositeTestFramesPerBufferValues:
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commandString = testExeName + " " + str(inputDeviceIndex) + " " + str(outputDeviceIndex) + " " + str(sampleRate) + " " + str(framesPerBuffer) + ' > ' + dataFileName
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print commandString
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os.system(commandString)
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d = loadCsvData(dataFileName)
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if isFirst:
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figure(1) # title sheet
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gcf().text(0.1, 0.0,
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"patest_suggested_vs_streaminfo_latency\n%s\n%s\n%s\n"%(d.inputDevice,d.outputDevice,d.sampleRate))
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pdfFile.savefig()
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figure(2) # composite plot, includes all compositeTestFramesPerBufferValues
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if isFirst:
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plot( d.suggestedLatency, d.suggestedLatency, label="Suggested latency" )
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plot( d.suggestedLatency, d.halfDuplexOutputLatency )
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plot( d.suggestedLatency, d.halfDuplexInputLatency )
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plot( d.suggestedLatency, d.fullDuplexOutputLatency )
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plot( d.suggestedLatency, d.fullDuplexInputLatency )
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if framesPerBuffer in individualPlotFramesPerBufferValues: # individual plots
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figure( 3 + individualPlotFramesPerBufferValues.index(framesPerBuffer) )
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plot( d.suggestedLatency, d.suggestedLatency, label="Suggested latency" )
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plot( d.suggestedLatency, d.halfDuplexOutputLatency, label="Half-duplex output latency" )
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plot( d.suggestedLatency, d.halfDuplexInputLatency, label="Half-duplex input latency" )
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plot( d.suggestedLatency, d.fullDuplexOutputLatency, label="Full-duplex output latency" )
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plot( d.suggestedLatency, d.fullDuplexInputLatency, label="Full-duplex input latency" )
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if framesPerBuffer == 0:
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framesPerBufferText = "paFramesPerBufferUnspecified"
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else:
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framesPerBufferText = str(framesPerBuffer)
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setFigureTitleAndAxisLabels( "user frames per buffer: "+str(framesPerBufferText) )
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setDisplayRangeSeconds(2.2)
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pdfFile.savefig()
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setDisplayRangeSeconds(0.1)
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setFigureTitleAndAxisLabels( "user frames per buffer: "+str(framesPerBufferText)+" (detail)" )
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pdfFile.savefig()
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isFirst = False
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figure(2)
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setFigureTitleAndAxisLabels( "composite of frames per buffer values:\n"+str(compositeTestFramesPerBufferValues) )
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setDisplayRangeSeconds(2.2)
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pdfFile.savefig()
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setDisplayRangeSeconds(0.1)
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setFigureTitleAndAxisLabels( "composite of frames per buffer values:\n"+str(compositeTestFramesPerBufferValues)+" (detail)" )
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pdfFile.savefig()
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pdfFile.close()
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#uncomment this to display interactively, otherwise we just output a pdf
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#show()
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#!/usr/bin/env python
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"""
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Run and graph the results of patest_suggested_vs_streaminfo_latency.c
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Requires matplotlib for plotting: http://matplotlib.sourceforge.net/
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"""
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import os
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from pylab import *
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import numpy
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from matplotlib.backends.backend_pdf import PdfPages
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testExeName = "PATest.exe" # rename to whatever the compiled patest_suggested_vs_streaminfo_latency.c binary is
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dataFileName = "patest_suggested_vs_streaminfo_latency.csv" # code below calls the exe to generate this file
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inputDeviceIndex = -1 # -1 means default
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outputDeviceIndex = -1 # -1 means default
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sampleRate = 44100
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pdfFilenameSuffix = "_wmme"
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pdfFile = PdfPages("patest_suggested_vs_streaminfo_latency_" + str(sampleRate) + pdfFilenameSuffix +".pdf") #output this pdf file
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def loadCsvData( dataFileName ):
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params= ""
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inputDevice = ""
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outputDevice = ""
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startLines = file(dataFileName).readlines(1024)
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for line in startLines:
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if "output device" in line:
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outputDevice = line.strip(" \t\n\r#")
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if "input device" in line:
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inputDevice = line.strip(" \t\n\r#")
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params = startLines[0].strip(" \t\n\r#")
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data = numpy.loadtxt(dataFileName, delimiter=",", skiprows=4).transpose()
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class R(object): pass
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result = R()
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result.params = params
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for s in params.split(','):
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if "sample rate" in s:
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result.sampleRate = s
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result.inputDevice = inputDevice
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result.outputDevice = outputDevice
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result.suggestedLatency = data[0]
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result.halfDuplexOutputLatency = data[1]
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result.halfDuplexInputLatency = data[2]
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result.fullDuplexOutputLatency = data[3]
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result.fullDuplexInputLatency = data[4]
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return result;
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def setFigureTitleAndAxisLabels( framesPerBufferString ):
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title("PortAudio suggested (requested) vs. resulting (reported) stream latency\n" + framesPerBufferString)
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ylabel("PaStreamInfo::{input,output}Latency (s)")
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xlabel("Pa_OpenStream suggestedLatency (s)")
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grid(True)
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legend(loc="upper left")
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def setDisplayRangeSeconds( maxSeconds ):
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xlim(0, maxSeconds)
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ylim(0, maxSeconds)
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# run the test with different frames per buffer values:
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compositeTestFramesPerBufferValues = [0]
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# powers of two
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for i in range (1,11):
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compositeTestFramesPerBufferValues.append( pow(2,i) )
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# multiples of 50
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for i in range (1,20):
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compositeTestFramesPerBufferValues.append( i * 50 )
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# 10ms buffer sizes
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compositeTestFramesPerBufferValues.append( 441 )
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compositeTestFramesPerBufferValues.append( 882 )
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# large primes
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#compositeTestFramesPerBufferValues.append( 39209 )
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#compositeTestFramesPerBufferValues.append( 37537 )
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#compositeTestFramesPerBufferValues.append( 26437 )
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individualPlotFramesPerBufferValues = [0,64,128,256,512] #output separate plots for these
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isFirst = True
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for framesPerBuffer in compositeTestFramesPerBufferValues:
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commandString = testExeName + " " + str(inputDeviceIndex) + " " + str(outputDeviceIndex) + " " + str(sampleRate) + " " + str(framesPerBuffer) + ' > ' + dataFileName
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print commandString
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os.system(commandString)
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d = loadCsvData(dataFileName)
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if isFirst:
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figure(1) # title sheet
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gcf().text(0.1, 0.0,
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"patest_suggested_vs_streaminfo_latency\n%s\n%s\n%s\n"%(d.inputDevice,d.outputDevice,d.sampleRate))
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pdfFile.savefig()
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figure(2) # composite plot, includes all compositeTestFramesPerBufferValues
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if isFirst:
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plot( d.suggestedLatency, d.suggestedLatency, label="Suggested latency" )
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plot( d.suggestedLatency, d.halfDuplexOutputLatency )
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plot( d.suggestedLatency, d.halfDuplexInputLatency )
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plot( d.suggestedLatency, d.fullDuplexOutputLatency )
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plot( d.suggestedLatency, d.fullDuplexInputLatency )
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if framesPerBuffer in individualPlotFramesPerBufferValues: # individual plots
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figure( 3 + individualPlotFramesPerBufferValues.index(framesPerBuffer) )
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plot( d.suggestedLatency, d.suggestedLatency, label="Suggested latency" )
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plot( d.suggestedLatency, d.halfDuplexOutputLatency, label="Half-duplex output latency" )
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plot( d.suggestedLatency, d.halfDuplexInputLatency, label="Half-duplex input latency" )
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plot( d.suggestedLatency, d.fullDuplexOutputLatency, label="Full-duplex output latency" )
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plot( d.suggestedLatency, d.fullDuplexInputLatency, label="Full-duplex input latency" )
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if framesPerBuffer == 0:
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framesPerBufferText = "paFramesPerBufferUnspecified"
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else:
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framesPerBufferText = str(framesPerBuffer)
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setFigureTitleAndAxisLabels( "user frames per buffer: "+str(framesPerBufferText) )
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setDisplayRangeSeconds(2.2)
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pdfFile.savefig()
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setDisplayRangeSeconds(0.1)
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setFigureTitleAndAxisLabels( "user frames per buffer: "+str(framesPerBufferText)+" (detail)" )
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pdfFile.savefig()
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isFirst = False
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figure(2)
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setFigureTitleAndAxisLabels( "composite of frames per buffer values:\n"+str(compositeTestFramesPerBufferValues) )
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setDisplayRangeSeconds(2.2)
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pdfFile.savefig()
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setDisplayRangeSeconds(0.1)
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setFigureTitleAndAxisLabels( "composite of frames per buffer values:\n"+str(compositeTestFramesPerBufferValues)+" (detail)" )
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pdfFile.savefig()
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pdfFile.close()
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#uncomment this to display interactively, otherwise we just output a pdf
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#show()
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