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graph-generators

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Python functions to compute various classes of networkx graphs

Requirements

Requires python >= 3.5 and networkx.

Installation

pip install graph-generators

Usage

After installation, run from graph_generators import *

For instance, keller_graph(n) returns an n-dimensional Keller graph.

List of graphs

Graph name Function name
Keller graph keller_graph
King graph king_graph
Knight graph knight_graph
Antelope graph antelope_graph
Zebra graph zebra_graph
Giraffe graph giraffe_graph
Camel graph camel_graph
(a,b)-leaper graph leaper_graph
Fiveleaper graph fiveleaper_graph
Prism graph prism_graph
Stacked prism graph stacked_prism_graph
Moebius ladder graph mobius_ladder_graph
Book graph book_graph
Stacked book graph stacked_book_graph
Odd graph odd_graph
Fibonacci cube graph fibonacci_cube_graph
Lucas cube graph lucas_cube_graph
Halved cube graph halved_cube_graph
Folded cube graph folded_cube_graph
Johnson graph johnson_graph
Pell graph pell_graph

Release files for graph-generators 0.1.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for graph-generators 0.1.7
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graph-generators-0.1.7.tar.gz 8.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for graph-generators 0.1.7
File Interpreter ABI Platform
graph_generators-0.1.7-py3-none-any.whl Python 3 none any Details

Total release size:16.8 kB

Release files / graph-generators-0.1.7.tar.gz

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Size 8.2 kB
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Release files / graph_generators-0.1.7-py3-none-any.whl

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Size 8.6 kB
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0.1.7 This release

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0.1.6

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0.1.5

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0.1.4

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