Skip to main content

A python interface for decompressing Boldi-Vigna graphs

Project description

This library implements a decoder for a Boldi-Vigna graph structure, a highly compressed means of storing web-graphs. The library is written in pure C. It includes a Python interface, and a means to implement multi-threaded graph algorithms.

Features

  • In-memory and on-disk graph storage
  • Sequential iteration over graph edges
  • Parallel iteration over graph edges
  • random access to graph edges

Installation

1.1 Install with pip:

pip install pylibbvg

1.2 Uninstall:

pip uninstall pylibbvg

2.1. Compile from the source code(Cython is assumed to have installed):

python setup.py build_ext --inplace

2.2. To clean the library:

python setup.py clean

Synopsis

To use the library in Python code:

import bvg
G = bvg.BVGraph('wb-cs.stanford', 0) # sequential scan
print 'nodes = ' + str(G.nverts)
print 'edges = ' + str(G.nedges)
edges_and_degrees = G.edges_and_degrees()
for (src, dst, degree) in edges_and_degrees:
    print 'node ' + str(src) + ' has degree ' + str(degree)
    print 'edge: ' + str(src) + ' -> ' + str(dst)

License

GPL version 2.

Copyright by David F. Gleich, 2007-2014

Project details


Download files

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

Source Distribution

pylibbvg-2.0.25.tar.gz (148.3 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page