Skip to main content

A decorator for automatic algorithms optimization via fast matrix exponentiation

Project description

A decorator for automatic algorithms optimization via fast matrix exponentiation

https://img.shields.io/travis/borzunov/cpmoptimize/master.svg https://img.shields.io/pypi/v/cpmoptimize.svg https://img.shields.io/pypi/pyversions/cpmoptimize.svg https://img.shields.io/pypi/implementation/cpmoptimize.svg

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cpmoptimize-0.3.post2.tar.gz (23.9 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page