[issue13031] small speed-up for tarfile.py when unzipping tarballs

2011-09-23 Thread Justin Peel

Justin Peel  added the comment:

poq,

You're quite right. I've added that change too. By the way, four unnecessary 
extra tuples are no longer being created for each call to this function too 
because of these changes.

--
Added file: http://bugs.python.org/file23232/cpython_tarfile2.diff

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[issue13031] [PATCH] small speed-up for tarfile.py when unzipping tarballs

2011-09-22 Thread Justin Peel

Changes by Justin Peel :


--
type:  -> performance

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[issue13031] [PATCH] small speed-up for tarfile.py when unzipping tarballs

2011-09-22 Thread Justin Peel

New submission from Justin Peel :

Attached small diff speeds up extracting a gzipped tarball on my machine using 
python 3.2 by 3-5%. It will probably be a larger percentage on machines that 
have faster hard drives (mine is 5400rpm).

Basically, the changes speed up calculating the checksums by only doing one 
slice rather than four and call struct.unpack twice rather than four times. We 
are able to use less unpack calls because 'x' means to skip a byte.

--
components: Library (Lib)
files: cpython_tarfile.diff
keywords: patch
messages: 144436
nosy: jpeel
priority: normal
severity: normal
status: open
title: [PATCH] small speed-up for tarfile.py when unzipping tarballs
versions: Python 2.7, Python 3.2
Added file: http://bugs.python.org/file23229/cpython_tarfile.diff

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[issue10667] collections.Counter object in C

2010-12-10 Thread Justin Peel

Justin Peel  added the comment:

Okay, I was done submitting. I thought that Antoine was asking for a version 
that kept a pure Python version so I did that.

--

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[issue10667] collections.Counter object in C

2010-12-10 Thread Justin Peel

Justin Peel  added the comment:

I've done as Antoine asked and made a pure Python PyCounter class and a 
C-enhanced Counter class that both use the mixin CounterBase class. I also 
added to the tests so that both PyCounter and Counter are tested. I left the 
update_fromsubs() method in Counter for now, but haven't made a Python 
equivalent function for PyCounter in case the method is rejected.

Also, I realized that my build was still in debug mode so those benchmark 
weren't quite accurate (Oops). The Counter class is only 4-6x faster for most 
cases. That's still good, but not quite as good as I'd previously reported.

Lastly, I thought of one more method that could be quite useful. Say that you 
have a list like [('apples',4),('oranges',5),('apples',8)] where the second 
element in each tuple indicates how many of them there are. The resultant 
Counter should have {'apples': 12, 'oranges':5}. We don't really have a good 
way to count this, but we could add a small method like the following:

def fromitems(self, items):
for key, value in items:
self[key] += value

and I could easily make a C function for it. I think that this simple method 
could be very useful to some people. What do you all think of this addition?

--
Added file: http://bugs.python.org/file20004/counterpatch2.diff

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[issue10667] collections.Counter object in C

2010-12-09 Thread Justin Peel

New submission from Justin Peel :

I put the Counter's update and __missing__ methods into C code. The rest of the 
existing methods remain the same. The new Counter is at least 2x-10x (or more) 
faster for updating depending on the input. I also added a new method, 
update_fromsubs, which is documented below the timings for updating a Counter.

Here are a few examples to demonstrate the speed of the new update function:

Counting list(range(100))*100 - 
Old Counter: 18.6 msec
New Counter: 1.43
13x speed-up

Counting range(1) - 
Old Counter: 21.5 msec
New Counter: 3.84 msec
5.6x speed-up

Counter generator  i % 100 for i in range(1) - 
Old Counter: 36.7 msec
New Counter: 17.5 msec
2.1x speed-up

and the __missing__ method being in C makes getting missing keys about twice as 
fast.

Also, I added a new method, update_fromsubs, which counts subarrays/substrings 
of a sequence. This method only works with immutable sequences like tuples, 
bytes, and unicode objects. The method is of the form

update_fromsubs(seq, frame[, step[, lo[, hi]]])

where frame is the size of the subarrays, step is how far to move forward after 
each subarray, and lo and hi are the respective starting and ending indices to 
count subarrays within the sequence.

For instance,

c = Counter()
c.update_fromsubs('abcd', 2)

yields

Counter({'cd': 1, 'ab': 1, 'bc': 1})

and

d = Counter()
d.update_fromsubs('abcd', 2, 2)

yields

Counter({'ab': 1, 'cd: 1})

These sorts of operations could be done with generators in a manner like

Counter(s[i:i+2] for i in range(0, len(s)-1))

but it can be about twice as fast by using update_fromsubs. Here's an example

Counting subarrays of length 2 of "ab"*1:
update_fromsubs:30.8 ms
New Counter w/ generator:   54.3 ms
Old Counter w/ generator:   98.8 ms

This method would probably be most useful in processing strings, but there may 
be other uses. If it is accepted, please feel to change the method name and 
parameters. I especially wasn't sure what to call this method 
(update_fromsubsequences seemed rather long).

--
components: Extension Modules, Library (Lib)
files: counterpatch.diff
keywords: patch
messages: 123706
nosy: jpeel, rhettinger
priority: normal
severity: normal
status: open
title: collections.Counter object in C
type: performance
versions: Python 3.3
Added file: http://bugs.python.org/file19992/counterpatch.diff

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