fairpy | An open-source library of fair division algorithms in Python

by erelsgl Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | fairpy Summary

fairpy is a Python library typically used in Big Data, Spark, Example Codes applications. fairpy has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

An open-source library of fair division algorithms in Python. To install, clone the repository and run the following in the main folder:. Then add the cloned folder to the PYTHONPATH environment variable. To test the installation, run. or open the demo notebook.

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fairpy has a low active ecosystem.

It has 9 star(s) with 16 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 1 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of fairpy is current.

Quality

fairpy has 0 bugs and 0 code smells.

Security

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

fairpy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

fairpy is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

fairpy releases are not available. You will need to build from source code and install.

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

Installation instructions are not available. Examples and code snippets are available.

It has 5633 lines of code, 438 functions and 93 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

This method finds the free allocation for a given agent in the graph
Finds the relationship between the given list of items
Add neighbors to queue
Append an object to the bag
Compute a fair enough allocation
Create a networkx graph from the given agents
Cycle through all items in the list of agents
Calculate the Gamma of a given integer
Compute the top trading cycle with indifferences algorithm
Explains a simplex solution using simplex solution
Calculates the 3 - agent allocation
Finds the allocation matrix for the consumption graph
Create a sandbox allocation for the given agents
Compute the difference between two agents
Calculates the equally sized pieces of the given agents
Calculates the allocation for the given consumption graph
Calculate the algor1 of agents
Calculate the allocation for a set of agents
Calculates an alpha - MMS allocation
Optimizes a piecewise concatenation
Constructs an allocation problem
Generate a set of random agents
Test test
Computes a leximinoptimal allocation problem
Plot graph statistics
Calculates the allocation
Round a list of agents by round robin

Get all kandi verified functions for this library.

fairpy Key Features

No Key Features are available at this moment for fairpy.

fairpy Examples and Code Snippets

No Code Snippets are available at this moment for fairpy.

Community Discussions

Trending Discussions on fairpy

tox does not find numpy

QUESTION

tox does not find numpy

Asked 2020-May-01 at 09:29

I try to run tox in order to automatically test my project. My tox file is very simple:

...

ANSWER

Answered 2020-May-01 at 09:29

First,

I have numpy installed - in my python 3.8.1 terminal, I can import numpy with no problem.

tox creates a virtual environment when you run it so it doesn't matter if you have numpy installed on your computer original interpreter.

Second, If you want tox to install the requirements file you must add deps = -rrequirements.txt to tox.ini. And you can always add numpy manually as a dependency there as well.

Third, tox has some dependencies tracking issues in some cases. Try run tox -r to force tox to recreate its environment and make sure that numpy mentioned in the "install_requires" section in the setup.py.

Source https://stackoverflow.com/questions/61538080

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

Vulnerabilities

No vulnerabilities reported

Install fairpy

You can download it from GitHub.
You can use fairpy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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 .

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