Python-Design-Patterns graph_search

Table of Contents

  1. graph_search Model
  2. Python-Design-Patterns graph_search

graph_search Model

#!/usr/bin/env python
# -*- coding: utf-8 -*-

""

class GraphSearch:

    """Graph search emulation in python, from source
    http://www.python.org/doc/essays/graphs/"""

    def __init__(self, graph):
        self.graph = graph

    def find_path(self, start, end, path=None):
        path = path or []

        path.append(start)
        if start == end:
            return path
        for node in self.graph.get(start, []):
            if node not in path:
                newpath = self.find_path(node, end, path[:])
                if newpath:
                    return newpath

    def find_all_path(self, start, end, path=None):
        path = path or []
        path.append(start)
        if start == end:
            return [path]
        paths = []
        for node in self.graph.get(start, []):
            if node not in path:
                newpaths = self.find_all_path(node, end, path[:])
                paths.extend(newpaths)
        return paths

    def find_shortest_path(self, start, end, path=None):
        path = path or []
        path.append(start)

        if start == end:
            return path
        shortest = None
        for node in self.graph.get(start, []):
            if node not in path:
                newpath = self.find_shortest_path(node, end, path[:])
                if newpath:
                    if not shortest or len(newpath) < len(shortest):
                        shortest = newpath
        return shortest

# example of graph usage
graph = {'A': ['B', 'C'], 'B': ['C', 'D'], 'C': ['D'], 'D': ['C'], 'E': ['F'], 'F': ['C']}

# initialization of new graph search object
graph1 = GraphSearch(graph)

print(graph1.find_path('A', 'D'))
print(graph1.find_all_path('A', 'D'))
print(graph1.find_shortest_path('A', 'D'))

### OUTPUT ###
# ['A', 'B', 'C', 'D']
# [['A', 'B', 'C', 'D'], ['A', 'B', 'D'], ['A', 'C', 'D']]
# ['A', 'B', 'D']

graph_search.py