Python24 introduces the function decorator that lends itself nicely to the timing of a function. As a sample function we are using the ever popular and rather stodgy prime number generator. The prime number generator seems to exist only to fluster students and to make niggling comparisons of the speed of computer languages.
# time a function using time.time() and the a @ function decorator # tested with Python24 vegaseat 21aug2005 import time def print_timing(func): def wrapper(*arg): t1 = time.time() res = func(*arg) t2 = time.time() print '%s took %0.3f ms' % (func.func_name, (t2-t1)*1000.0) return res return wrapper # declare the @ decorator just before the function, invokes print_timing() @print_timing def getPrimeList(n): """ returns a list of prime numbers from 2 to < n using a sieve algorithm""" if n < 2: return  if n == 2: return  # do only odd numbers starting at 3 s = range(3, n+1, 2) # n**0.5 may be slightly faster than math.sqrt(n) mroot = n ** 0.5 half = len(s) i = 0 m = 3 while m <= mroot: if s[i]: j = (m*m-3)//2 s[j] = 0 while j < half: s[j] = 0 j += m i = i+1 m = 2*i+3 return +[x for x in s if x] if __name__ == "__main__": print "prime numbers from 2 to <10,000,000 using a sieve algorithm" primeList = getPrimeList(10000000) time.sleep(2.5) """ my output --> prime numbers from 2 to <10,000,000 using a sieve algorithm getPrimeList took 4750.000 ms """
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