Common Graph Algorithms Library
Copyright (c) 2016 David McDougall
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Description: Common Graph Algorithms Library
Library of graph algorithms which operate directly on python data structures.
This library uses a novel API for representing graphs. Graph vertexes can be any hashable python value and the connectivity between vertexes is represented with a callback function. This callback is named the ‘adjacent’ function. The adjacent function has the following form:
- def adjacent(vertex):
- ‘’’ This function returns all vertexes which the given vertex is connected to. ‘’’ return iterable-of-neighboring-vertexes
- A lazy depth first traversal
- A depth first search
- Searching infinite graphs
- Fast optimal pathfinding
- Dependency resolution.
- Determines which areas of the graph can reach which other areas.
In the future I would like to implement more algorithms: - Minimum Spanning Tree - Min-cut/Max-flow - Substructure Search
Installation note: This package optionally uses numpy. Numpy is used by some unit tests. Numpy is used to calculate A-stars effective branching factor (EBF). If numpy is not available then EBF is not reported.
Comments and feedback are welcome Send to David McDougall email: dam1784[at]rit.edu
Keywords: development,graph Platform: UNKNOWN Classifier: Development Status :: 3 - Alpha Classifier: License :: OSI Approved :: MIT License Classifier: Operating System :: OS Independent Classifier: Intended Audience :: Developers Classifier: Topic :: Software Development Classifier: Topic :: Software Development :: Libraries Classifier: Topic :: Software Development :: Libraries :: Python Modules Classifier: Topic :: Utilities Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.5 Provides-Extra: debug Provides-Extra: test
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