import time import numpy as np def timeit(somefunc,*args,repeats=100,**kwargs): times=[] # initialise array to collect the time for each repetition for i in range(repeats): # set loop for number of repetitions to run and time the function that many times starttime=time.time() # set start ans=somefunc(*args,**kwargs) # run the function endtime=time.time() # set end timetaken=endtime-starttime # calculate time from start and end times.append(timetaken) # append time for this run to the times list mean=np.mean(times) # calculate the average time across the repetitions stdev=np.std(times) # get the standard deviation of the times error=stdev/(repeats**0.5) # get the error? return (ans,mean,error)
Preview:
downloadDownload PNG
downloadDownload JPEG
downloadDownload SVG
Tip: You can change the style, width & colours of the snippet with the inspect tool before clicking Download!
Click to optimize width for Twitter