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A program complexity estimator

Project Description

version number: 0.0.6 author: Łukasz Kaźmierczak

Overview

A simple python library which can be used to empirically estimate program’s time complexity.

Installation / Usage

To install use pip:

$ pip3 install git+https://github.com/AGHPythonCourse2017/zad2-Porcupine96

Or clone the repo:

$ git clone https://github.com/Porcupine96/complex.git $ python setup.py install

Example

The first usage scenarion - implementing the abstract Program class.

from complex.program import Program

class TestProgram(Program):

def initialize(self, problem_size):
self.numbers = [randint(1, 10000) for _ in range(problem_size)]
def code(self):
_ = [i + 1 for i in self.numbers]
def clean_up(self):
pass

Then:

from complex.calculator import ComplexityCalculator

program = TestProgram() calculator = ComplexityCalculator(program, retry_count=5)

In order to get program’s time complexity:

complexity, timeout_occurred = calculator.get_complexity()

In order to estimate execution time for the given problem size:

time = calculator.estimate_time(problem_size = 10000)

In order to estimate maximal problem size for the given time:

problem_size = calculator.estimate_max_size_for_time(requested_time = 5)
Release History

Release History

This version
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0.0.6

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0.0.5

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0.0.4

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0.0.3

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0.0.2

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0.0.1

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
complex-0.0.6.tar.gz (4.7 kB) Copy SHA256 Checksum SHA256 Source May 8, 2017

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