Add small cpu time measurement script.

util_scripts/measure_cpu_time.py

@@ -0,0 +1,35 @@
+import sys,subprocess, math
+import numpy as np
+import xml.etree.ElementTree as ET
+
+def main():
+	simc_bin = "../engine/simc.exe"
+	profile_dir="../profiles/Tier16H/"
+	name = "Priest_Shadow_T16H"
+	profile= name + ".simc"
+	extra_options = ""
+	threads=1
+	output_dir = "d:/dev/simc/"
+
+	iterations=10000
+	num_repetitions=10
+	list_cpu_seconds = np.empty([])
+
+	for repetition in range(num_repetitions):
+		command = "{bin} {profile} {eo} iterations={iterations} threads={threads} output={output} xml={xml}" \
+					.format( bin=simc_bin, profile=profile_dir+profile, eo=extra_options, iterations=iterations, threads=threads, output=output_dir+profile+".txt", xml=output_dir+profile+".xml" )
+
+		subprocess.call( command )
+
+		tree = ET.parse(output_dir+profile+".xml")
+		root = tree.getroot()
+		cpu_seconds = float(root.find("performance").find("cpu_seconds").text)
+		print( "Done simulation #{n} of {rep} with iterations={it}: cpu_seconds={t}".format(n=(repetition+1), rep=num_repetitions, it=iterations, t=cpu_seconds ) )
+		list_cpu_seconds = np.append( list_cpu_seconds, cpu_seconds )
+
+	print "mean: %s"%(np.mean(list_cpu_seconds))
+	print "stddev: %s"%(np.std(list_cpu_seconds))
+	print "stddev/sqrt(N): %s"%(np.std(list_cpu_seconds)/math.sqrt(num_repetitions))
+
+if __name__ == "__main__":
+	main()