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#!/usr/bin/env python3
import numpy as np
import pylab as plot
import sys
import argparse
parser = argparse.ArgumentParser(description="Generate a performance graph")
parser.add_argument("--base_data", required=True,
help="The path to the base data")
parser.add_argument("--base_title", required=True,
help="The title of the base data plot")
parser.add_argument("--changed_data", required=True,
help="The path to the changed data")
parser.add_argument("--changed_title", required=True,
help="The title of the changed data plot")
parser.add_argument("--fps", action="store_true",
help="Draw plot as FPS, default is frametime")
parser.add_argument("--save_img", help="Saves the generated graph to the specified file path.")
args = parser.parse_args()
averageTime = 0.3
NANOSECONDS_PER_SECOND = 1000000000.
def average(time, frametime):
startIndex = 0
currentTime = time[startIndex]
outTime = []
outFPS = []
for i in range(startIndex + 1, len(time)):
if time[i] - currentTime >= averageTime:
val = np.mean(frametime[startIndex:i])
outTime.append(time[startIndex])
outFPS.append(val)
startIndex = i
currentTime = time[i]
return outTime, outFPS
def adjustData(data):
times = data[2:, 0] / NANOSECONDS_PER_SECOND
frametimes = data[2:, 1] / NANOSECONDS_PER_SECOND
times = times - times[0]
if args.fps:
frametimes = 1 / frametimes
return average(times, frametimes)
normalData = np.genfromtxt(args.base_data, delimiter=';')
changedData = np.genfromtxt(args.changed_data, delimiter=';')
nT, nF = adjustData(normalData)
cT, cF = adjustData(changedData)
avgNormalData = np.mean(nF)
avgChangedData = np.mean(cF)
ratio = avgNormalData / avgChangedData
print(ratio)
plot.plot(nT, nF, label=args.base_title)
plot.plot(cT, cF, label=args.changed_title)
plot.xlabel("Mission time")
if args.fps:
plot.ylabel("FPS")
else:
plot.ylabel("Frametime")
plot.legend(loc=1)
if args.save_img:
plot.savefig(args.save_img)
else:
plot.show()
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