SV platform dependency builds

#!/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()