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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

Release history Release notifications

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2.0.25

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Filename, size & hash SHA256 hash help File type Python version Upload date
pylibbvg-2.0.25.tar.gz (148.3 kB) Copy SHA256 hash SHA256 Source None Aug 5, 2014

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