Skip to main content

Provides 1D bin packing logic.

Project description

# Bin Packing Problem

This library is a grouping of 1D approximate solutions for the BPP There is also a generic function to create variants.

## Example

`python

import random

from binpackp import NumberBin, Fit

bin_size = random.randint(10,100)

fit_these = [random.randint(1, bin_size) for _ in range(1000)]
generic_results = Fit.fit(NumberBin, bin_size, fit_these)

first_fit_results = Fit.ff(NumberBin, bin_size, fit_these)

print("General Function: ", generic_results)
print("First Fit Function: ", first_fit_results)



Project details


Release history Release notifications

This version
History Node

1.0.0

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
bin_packing_problem-1.0.0-py3.5.egg (12.6 kB) Copy SHA256 hash SHA256 Egg 3.5 Jul 10, 2016
bin_packing_problem-1.0.0-py3-none-any.whl (6.9 kB) Copy SHA256 hash SHA256 Wheel py3 Jul 10, 2016
bin_packing_problem-1.0.0.zip (7.7 kB) Copy SHA256 hash SHA256 Source None Jul 10, 2016

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page