def generateGraphs(times, bandwidths, iosTime, iosFin, writeBins,\
hostdirs, sizes, processorGraphs, mpiFile, average, \
jobID, above, below):
matplotlib.rc("xtick", labelsize=10)
matplotlib.rc("ytick", labelsize=10)
logicalFilename = hostdirs[0][1]
logicalFilename = logicalFilename.replace("/", "_")
pdf = PdfPages("Analysis" + logicalFilename + ".pdf")
#cooresponds to the scale functions count, if more units added,
#scale should be adjusted as well
units = {0: " B", 1: " KiB", 2: " MiB", 3: " GiB", 4: " TiB", 5: " PiB"}
graphingLibrary.bandwidthGraphs(times, bandwidths, iosTime, iosFin, \
hostdirs, sizes, units)
pdf.savefig()
plt.close()
graphingLibrary.networkGraph(hostdirs)
pdf.savefig()
plt.close()
graphingLibrary.barGraph(writeBins, units)
pdf.savefig()
plt.close()
if processorGraphs:
graphPerProcessor(mpiFile,
len(hostdirs) - 1, average, jobID, above, below)
pdf.savefig()
plt.close()
pdf.close()
def generateGraphs(times, bandwidths, iosTime, iosFin, writeBins,\
hostdirs, sizes, processorGraphs, mpiFile, average, \
jobID, above, below):
matplotlib.rc("xtick", labelsize=10)
matplotlib.rc("ytick", labelsize=10)
logicalFilename = hostdirs[0][1]
logicalFilename = logicalFilename.replace("/", "_")
pdf = PdfPages("Analysis" + logicalFilename + ".pdf")
#cooresponds to the scale functions count, if more units added,
#scale should be adjusted as well
units = {0: " B", 1:" KiB", 2:" MiB", 3:" GiB", 4:" TiB", 5:" PiB"}
graphingLibrary.bandwidthGraphs(times, bandwidths, iosTime, iosFin, \
hostdirs, sizes, units)
pdf.savefig()
plt.close()
graphingLibrary.networkGraph(hostdirs)
pdf.savefig()
plt.close()
graphingLibrary.barGraph(writeBins, units)
pdf.savefig()
plt.close()
if processorGraphs:
graphPerProcessor(mpiFile,len(hostdirs)-1, average, jobID, above, below)
pdf.savefig()
plt.close()
pdf.close()
def graph((function, times, bandwidths, iosTime, iosFin, writeBins, \
hostdirs, sizes, mpiFile, average, jobID, \
above, below, name)):
units = {0: " B", 1:" KiB", 2:" MiB", 3:" GiB", 4:" TiB", 5:" PiB"}
if function == graphingLibrary.bandwidthGraphs:
graphingLibrary.bandwidthGraphs(times, bandwidths, iosTime, iosFin,\
hostdirs, sizes, units)
elif function == graphingLibrary.networkGraph:
graphingLibrary.networkGraph(hostdirs)
elif function == graphingLibrary.barGraph:
graphingLibrary.barGraph(writeBins, units)
elif function == graphPerProcessor:
graphPerProcessor(mpiFile, len(hostdirs)-1, average, jobID, above, \
below)
logicalFile = hostdirs[0][1]
logicalFile = logicalFile.replace("/", "_")
plt.savefig('Analysis%s%s.pdf' % (logicalFile, name))
plt.close()
def graph((function, times, bandwidths, iosTime, iosFin, writeBins, \
hostdirs, sizes, mpiFile, average, jobID, \
above, below, name)):
units = {0: " B", 1: " KiB", 2: " MiB", 3: " GiB", 4: " TiB", 5: " PiB"}
if function == graphingLibrary.bandwidthGraphs:
graphingLibrary.bandwidthGraphs(times, bandwidths, iosTime, iosFin,\
hostdirs, sizes, units)
elif function == graphingLibrary.networkGraph:
graphingLibrary.networkGraph(hostdirs)
elif function == graphingLibrary.barGraph:
graphingLibrary.barGraph(writeBins, units)
elif function == graphPerProcessor:
graphPerProcessor(mpiFile, len(hostdirs)-1, average, jobID, above, \
below)
logicalFile = hostdirs[0][1]
logicalFile = logicalFile.replace("/", "_")
plt.savefig('Analysis%s%s.pdf' % (logicalFile, name))
plt.close()
