151 lines
5.2 KiB
Python
151 lines
5.2 KiB
Python
#!/usr/bin/env python
|
|
"""
|
|
|
|
Run and graph the results of patest_suggested_vs_streaminfo_latency.c
|
|
|
|
Requires matplotlib for plotting: http://matplotlib.sourceforge.net/
|
|
|
|
"""
|
|
import os
|
|
from pylab import *
|
|
import numpy
|
|
from matplotlib.backends.backend_pdf import PdfPages
|
|
|
|
testExeName = "PATest.exe" # rename to whatever the compiled patest_suggested_vs_streaminfo_latency.c binary is
|
|
dataFileName = "patest_suggested_vs_streaminfo_latency.csv" # code below calls the exe to generate this file
|
|
|
|
inputDeviceIndex = -1 # -1 means default
|
|
outputDeviceIndex = -1 # -1 means default
|
|
sampleRate = 44100
|
|
pdfFilenameSuffix = "_wmme"
|
|
|
|
pdfFile = PdfPages("patest_suggested_vs_streaminfo_latency_" + str(sampleRate) + pdfFilenameSuffix +".pdf") #output this pdf file
|
|
|
|
|
|
def loadCsvData( dataFileName ):
|
|
params= ""
|
|
inputDevice = ""
|
|
outputDevice = ""
|
|
|
|
startLines = file(dataFileName).readlines(1024)
|
|
for line in startLines:
|
|
if "output device" in line:
|
|
outputDevice = line.strip(" \t\n\r#")
|
|
if "input device" in line:
|
|
inputDevice = line.strip(" \t\n\r#")
|
|
params = startLines[0].strip(" \t\n\r#")
|
|
|
|
data = numpy.loadtxt(dataFileName, delimiter=",", skiprows=4).transpose()
|
|
|
|
class R(object): pass
|
|
result = R()
|
|
result.params = params
|
|
for s in params.split(','):
|
|
if "sample rate" in s:
|
|
result.sampleRate = s
|
|
|
|
result.inputDevice = inputDevice
|
|
result.outputDevice = outputDevice
|
|
result.suggestedLatency = data[0]
|
|
result.halfDuplexOutputLatency = data[1]
|
|
result.halfDuplexInputLatency = data[2]
|
|
result.fullDuplexOutputLatency = data[3]
|
|
result.fullDuplexInputLatency = data[4]
|
|
return result;
|
|
|
|
|
|
def setFigureTitleAndAxisLabels( framesPerBufferString ):
|
|
title("PortAudio suggested (requested) vs. resulting (reported) stream latency\n" + framesPerBufferString)
|
|
ylabel("PaStreamInfo::{input,output}Latency (s)")
|
|
xlabel("Pa_OpenStream suggestedLatency (s)")
|
|
grid(True)
|
|
legend(loc="upper left")
|
|
|
|
def setDisplayRangeSeconds( maxSeconds ):
|
|
xlim(0, maxSeconds)
|
|
ylim(0, maxSeconds)
|
|
|
|
|
|
# run the test with different frames per buffer values:
|
|
|
|
compositeTestFramesPerBufferValues = [0]
|
|
# powers of two
|
|
for i in range (1,11):
|
|
compositeTestFramesPerBufferValues.append( pow(2,i) )
|
|
|
|
# multiples of 50
|
|
for i in range (1,20):
|
|
compositeTestFramesPerBufferValues.append( i * 50 )
|
|
|
|
# 10ms buffer sizes
|
|
compositeTestFramesPerBufferValues.append( 441 )
|
|
compositeTestFramesPerBufferValues.append( 882 )
|
|
|
|
# large primes
|
|
#compositeTestFramesPerBufferValues.append( 39209 )
|
|
#compositeTestFramesPerBufferValues.append( 37537 )
|
|
#compositeTestFramesPerBufferValues.append( 26437 )
|
|
|
|
individualPlotFramesPerBufferValues = [0,64,128,256,512] #output separate plots for these
|
|
|
|
isFirst = True
|
|
|
|
for framesPerBuffer in compositeTestFramesPerBufferValues:
|
|
commandString = testExeName + " " + str(inputDeviceIndex) + " " + str(outputDeviceIndex) + " " + str(sampleRate) + " " + str(framesPerBuffer) + ' > ' + dataFileName
|
|
print commandString
|
|
os.system(commandString)
|
|
|
|
d = loadCsvData(dataFileName)
|
|
|
|
if isFirst:
|
|
figure(1) # title sheet
|
|
gcf().text(0.1, 0.0,
|
|
"patest_suggested_vs_streaminfo_latency\n%s\n%s\n%s\n"%(d.inputDevice,d.outputDevice,d.sampleRate))
|
|
pdfFile.savefig()
|
|
|
|
|
|
figure(2) # composite plot, includes all compositeTestFramesPerBufferValues
|
|
|
|
if isFirst:
|
|
plot( d.suggestedLatency, d.suggestedLatency, label="Suggested latency" )
|
|
|
|
plot( d.suggestedLatency, d.halfDuplexOutputLatency )
|
|
plot( d.suggestedLatency, d.halfDuplexInputLatency )
|
|
plot( d.suggestedLatency, d.fullDuplexOutputLatency )
|
|
plot( d.suggestedLatency, d.fullDuplexInputLatency )
|
|
|
|
if framesPerBuffer in individualPlotFramesPerBufferValues: # individual plots
|
|
figure( 3 + individualPlotFramesPerBufferValues.index(framesPerBuffer) )
|
|
|
|
plot( d.suggestedLatency, d.suggestedLatency, label="Suggested latency" )
|
|
plot( d.suggestedLatency, d.halfDuplexOutputLatency, label="Half-duplex output latency" )
|
|
plot( d.suggestedLatency, d.halfDuplexInputLatency, label="Half-duplex input latency" )
|
|
plot( d.suggestedLatency, d.fullDuplexOutputLatency, label="Full-duplex output latency" )
|
|
plot( d.suggestedLatency, d.fullDuplexInputLatency, label="Full-duplex input latency" )
|
|
|
|
if framesPerBuffer == 0:
|
|
framesPerBufferText = "paFramesPerBufferUnspecified"
|
|
else:
|
|
framesPerBufferText = str(framesPerBuffer)
|
|
setFigureTitleAndAxisLabels( "user frames per buffer: "+str(framesPerBufferText) )
|
|
setDisplayRangeSeconds(2.2)
|
|
pdfFile.savefig()
|
|
setDisplayRangeSeconds(0.1)
|
|
setFigureTitleAndAxisLabels( "user frames per buffer: "+str(framesPerBufferText)+" (detail)" )
|
|
pdfFile.savefig()
|
|
|
|
isFirst = False
|
|
|
|
figure(2)
|
|
setFigureTitleAndAxisLabels( "composite of frames per buffer values:\n"+str(compositeTestFramesPerBufferValues) )
|
|
setDisplayRangeSeconds(2.2)
|
|
pdfFile.savefig()
|
|
setDisplayRangeSeconds(0.1)
|
|
setFigureTitleAndAxisLabels( "composite of frames per buffer values:\n"+str(compositeTestFramesPerBufferValues)+" (detail)" )
|
|
pdfFile.savefig()
|
|
|
|
pdfFile.close()
|
|
|
|
#uncomment this to display interactively, otherwise we just output a pdf
|
|
#show()
|