makePlots Namespace Reference

Classes
class	TimingInfo

Functions
def	instancesVsTime (filename)
def	prepareTimingPlots (config="BrunelScenario", path="../options")

Function Documentation

def makePlots.instancesVsTime

(

filename

)

Definition at line 7 of file makePlots.py.

def instancesVsTime(filename):
    logfile = open(filename)
    nOfInstances = {}
    runtime = {}
    # extract all info
    for line in logfile.readlines():
        if "I ran" in line:
            name = line.split("SUCCESS")[0]
            runtime[name] = float(line.split("runtime of")[1])
            if name in nOfInstances:
                number = nOfInstances[name]
            else:
                number = 0
            nOfInstances[name] = number + 1
    # now sort it
    x = []
    y = []
    for name in runtime:
        x.append(runtime[name])
        y.append(nOfInstances[name])
    fig = plt.figure()
    ax = fig.add_subplot(111)
    yo = ax.scatter(x, y)
    ax.grid(True)
    plt.xlabel("Runtime (s)")
    plt.ylabel("# instances")
    plt.title(
        "Requested algorithm instances with 10 events and 10 threads in parallel."
    )
    plt.savefig("test.pdf")

def makePlots.prepareTimingPlots	(		config = "BrunelScenario",
			path = "../options"
	)

Definition at line 49 of file makePlots.py.

def prepareTimingPlots(config="BrunelScenario", path="../options"):

    # first read all the timings
    timings = []
    for filename in os.listdir(path):
        if filename.startswith(config) and filename.endswith("time"):
            ff = open(os.path.join(path, filename))
            time = ff.read().rstrip("\n")
            timing = TimingInfo(filename, time)
            timings.append(timing)
    # now prepare the various plots:
    #  o parallel algos vs. time (for fixed parallel events)
    fig = plt.figure()
    ax = fig.add_subplot(111)
    times = []
    algos = []
    for timing in timings:
        if timing.events == 1:
            times.append(timing.time)
            algos.append(timing.algos)
    ax.plot(algos, times)
    plt.xlabel("Max algos in parallel")
    plt.ylabel("runtime (s)")
    plt.title("Brunel / CPUCruncher profiling.")

    plt.savefig("timing.pdf")