jinete 0.1.0

High Performance solving suite for the Pickup and Delivery Problem and its related extensions.

jinete

Description

High Performance solving suite for the Pickup and Delivery Problem and its related extensions.

IMPORTANT: This project is still under its early stage of development. So it's not recommended yet to use on real world projects.

This library has been inspired (and created) by a Final Degree Project, which you can read at: https://github.com/garciparedes/tfg-pickup-and-delivery

Getting Started

Prerequisites

• python>=3.7

Installation

pip install jinete

Here is a simple example about how to run jinete to solve a HashCode 2018 Online Qualification instance.

import jinete as jit

file_path = './res/datasets/hashcode/a_example.in'

solver = jit.Solver(
    loader=jit.FileLoader,
    loader_kwargs={
        'file_path': file_path,
        'formatter_cls': jit.HashCodeLoaderFormatter
    },
    algorithm=jit.InsertionAlgorithm,
)
result = solver.solve()
# ...

Documentation

You can find the documentation at: https://garciparedes.me/jinete

Development

First of all, you need to create a virtualenv:

python -m venv venv
source venv/bin/activate

Then install the library and all its extra dependencies (with the all option):

pip intall -e .[all]

To run code style checks you can simply type:

flake8

To perform the tests with coverage you can need to type:

coverage run -m unittest discover tests

LICENSE

This project is licensed under MIT license.