On 05/05/2015 05:39 PM, Ian Kelly wrote:
On Tue, May 5, 2015 at 3:23 PM, Ian Kelly <ian.g.ke...@gmail.com> wrote:
On Tue, May 5, 2015 at 3:00 PM, Dave Angel <da...@davea.name> wrote:
def loop(func, funcname, arg):
     start = time.time()
     for i in range(repeats):
         func(arg, True)
     print("{0}({1}) took {2:7.4}".format(funcname, arg, time.time()-start))

     start = time.time()
     for i in range(repeats):
         func(arg)
     print("{0}({1}) took {2:7.4}".format(funcname, arg, time.time()-start))

Note that you're explicitly passing True in one case but leaving the
default in the other. I don't know whether that might be responsible
for the difference you're seeing.

I don't think that's the cause, but I do think that it has something
to do with the way the timing is being run. When I run your loop
function, I do observe the difference. If I reverse the order so that
the False case is tested first, I observe the opposite. That is, the
slower case is consistently the one that is timed *first* in the loop
function, regardless of which case that is.


I created two functions and called them with Timeit(), and the difference is now below 3%

And when I take your lead and double the loop() function so it runs each test twice, I get steadily decreasing numbers.

I think all of this has been noise caused by the caching of objects including function objects. I was surprised by this, as the loops are small enough I'd figure the function object would be fully cached the first time it was called.

--
DaveA
--
https://mail.python.org/mailman/listinfo/python-list

Reply via email to