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

by garciparedes Python Version: 0.1.0 License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions Vulnerabilities Install Support

kandi X-RAY | jinete Summary

jinete is a Python library. jinete has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install jinete' or download it from GitHub, PyPI.

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:

Support

Quality

Security

License

Reuse

Support

jinete has a low active ecosystem.

It has 8 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 68 have been closed. On average issues are closed in 366 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of jinete is 0.1.0

Quality

jinete has no bugs reported.

Security

jinete has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

jinete is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

jinete releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed jinete and discovered the below as its top functions. This is intended to give you an instant insight into jinete implemented functionality, and help decide if they suit your requirements.

Improve the route
Insert a Stop at the given index
Updates routes with overwritten routes
Insert a stop into the route
Improve the result
Build a Stop object
Compute a single route
Compute the route
Optimizes the routing
Compute a list of routes
Run the optimizer
Optimizes the problem
Optimize the model
The starting time
Store the graph and show it
Compute the optimization function
Format the routing table
Improve the circuit
Return the LpConfusion constraints
Create a fleet
Returns a list of LpConstraints
Optimize the objective
Create a Job object for the given surface
Run the algorithm
Create a Job object
Create a fleet from surface

Get all kandi verified functions for this library.

jinete Key Features

No Key Features are available at this moment for jinete.

jinete Examples and Code Snippets

Installation

Python

Lines of Code : 16

License : Permissive (MIT)

Copy

pip install jinete

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

jinete,Development

Python

Lines of Code : 5

License : Permissive (MIT)

Copy

python -m venv venv
source venv/bin/activate

pip intall -e .[all]

flake8

coverage run -m unittest discover tests

Community Discussions

No Community Discussions are available at this moment for jinete.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install jinete

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

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: