Mainly Tech projects on Python and Electronic Design Automation.

Saturday, July 21, 2007

Python makes simple solutions.

The title is a slogan I thought of to counter those who say Python is simple. My slogan emphasises that :
  • Python solves problems.
  • Those solutions are simple to understand.
  • The code produced is simple to maintain.

Wednesday, July 11, 2007

I've been Crunched!

There is a new crunchy out. I just downloaded the release, unzipped to a directory, then double-clicked, and Firefox opened a new page of delight. Five minutes of reading and I was able to open this very blog and have all the Python code come alive. On this entry, I was able to re-run the example and have new times printed - in the browser, with just a click of an (added) button!
If I had a new algorithm I could have used the edit window supplied to write and test it as well as save my changes.

Here is what a crunchy version of this page looks like.

The added editor comes pre-loaded with my example code. The new execute button, when clicked inserts the output of running the code from the editor below it. (click on the image for a larger view).


Sunday, July 01, 2007

bit twiddling extras

As a follow up to this
I commented on what I thought would be a better solution. Richard Jones pointed us at how pyglet solved how to find the net power of two and how to check if a number is a power of two using some nifty bit twiddling.

Will McGugan then timed
both his and pyglets code, but didn't implement my suggestion (I didn't give code).

I have added an implementation of my suggestion and timed all three sets.
The timing shows that although my implementation of is_power_of_2 is fastest by a smidgen; My implementation of next_power_of_2 by iterative comparison of a list is half way between Wills and pyglets implementation, with pyglet the winner.

I have not got timings with psyco.

The code

setup_1 = """
from math import log, ceil

def is_power_of_2(n):
return log(n, 2) % 1.0 == 0.0

def next_power_of_2(n):
return (2 ** ceil(log(n, 2)))

setup_2 = """
def next_power_of_2(v):
v -= 1
v |= v >> 1
v |= v >> 2
v |= v >> 4
v |= v >> 8
v |= v >> 16
return v + 1

def is_power_of_2(v):
return (v & (v - 1)) == 0

setup_3 = """
list_of_powers = [x**2 for x in range(32)]
set_of_powers = set(list_of_powers)

def next_power_of_2(v):
for x in list_of_powers:
if x >= v: return x

def is_power_of_2(n):
return n in set_of_powers


from timeit import Timer

t1 = Timer("is_power_of_2(128)", setup_1)
t2 = Timer("is_power_of_2(128)", setup_2)
t3 = Timer("next_power_of_2(125)", setup_1)
t4 = Timer("next_power_of_2(125)", setup_2)
t5 = Timer("is_power_of_2(128)", setup_3)
t6 = Timer("next_power_of_2(125)", setup_3)

print "float math is_power_of_2:", t1.timeit()
print "bit-twiddling is_power_of_2:", t2.timeit()
print "set-lookup is_power_of_2:", t5.timeit()
print "float math next power of 2:", t3.timeit()
print "bit-twiddling next power of 2:", t4.timeit()
print "list-comparison next power of 2:", t6.timeit()

The Timings

float math is_power_of_2: 2.33588961726
bit-twiddling is_power_of_2: 0.573784377623
set-lookup is_power_of_2: 0.54499859619

float math next power of 2: 3.06279429369
bit-twiddling next power of 2: 2.08060354039
list-comparison next power of 2: 2.58548279181


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