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Project Description

A decorator for automatic algorithms optimization via fast matrix exponentiation

Installation

You can install the stable version of the library using pip:

sudo pip install cpmoptimize

Or install a previously downloaded and extracted package:

sudo python setup.py install

Basic Example

Suppose we want to calculate the ten millionth Fibonacci number using a program in Python. The function with a trivial algorithm is rather slow:

def fib(n):
    a = 0
    b = 1
    for i in xrange(n):
        a, b = b, a + b
    return a

result = fib(10 ** 7)

# Time: 25 min 31 sec

But if we apply the optimizing decorator, the function will give you the answer much faster:

from cpmoptimize import cpmoptimize

@cpmoptimize()
def fib(n):
    a = 0
    b = 1
    for i in xrange(n):
        a, b = b, a + b
    return a

result = fib(10 ** 7)

# Time: 18 sec (85x faster)

Description

Actually, the decorator disassembles bytecode of a function using pretty byteplay library, analyzes the code, and tries to reduce time complexity of the algorithm used in it using fast matrix exponentiation.

The decorator uses a method implemented by Alexander Skidanov in his simple optimizing interpreter.

A detailed description of the library (including an idea explanation and an interface reference) is available in English and Russian.

Author

Copyright (c) 2014, 2015 Alexander Borzunov

Release History

Release History

0.3.post2

This version

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0.3.post1

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0.3

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0.2

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TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
cpmoptimize-0.3.post2.tar.gz (23.9 kB) Copy SHA256 Checksum SHA256 Source Jul 27, 2015

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