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| Started by | Benjamin Jessup <bsj@abzinc.com> |
|---|---|
| First post | 2012-10-04 08:20 -0400 |
| Last post | 2012-10-04 08:20 -0400 |
| Articles | 1 — 1 participant |
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Re: Python-list Digest, Vol 109, Issue 20 Benjamin Jessup <bsj@abzinc.com> - 2012-10-04 08:20 -0400
| From | Benjamin Jessup <bsj@abzinc.com> |
|---|---|
| Date | 2012-10-04 08:20 -0400 |
| Subject | Re: Python-list Digest, Vol 109, Issue 20 |
| Message-ID | <mailman.1792.1349353254.27098.python-list@python.org> |
On 10/4/2012 12:20 AM, python-list-request@python.org wrote:
> How do you know that?
>
> No offence, but if you can't even work out whether lookups in a dict or a
> list are faster, I can't imagine why you think you can intuit what the
> fastest way to retrieve the nearest neighbours would be.
Whats wrong with the test below?
# randomly select matrix coordinates to look-up
from random import randrange
test_coords = []
for i in range(1000):
x = randrange(2400); y = randrange(2400); test_coords.append((x,
y))
# build objects
class Object():pass
obj1 = Object(); obj2 = Object(); obj1.up = obj2
# build some test code
from timeit import Timer
setup = "from __main__ import test_coords, obj1, obj2"
t = Timer("for p in test_coords: obj = obj1.up", setup)
# run the test code
print(min(t.repeat(number=10000, repeat=7)))
import platform
print(platform.python_version())
On my system, I get:
0.719622326348
2.7.1
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