#!/usr/bin/env python3 # Author: OMKAR PATHAK, Nwachukwu Chidiebere # Use a Python dictionary to construct the graph. from pprint import pformat class GraphAdjacencyList: """ Adjacency List type Graph Data Structure that accounts for directed and undirected Graphs. Initialize graph object indicating whether it's directed or undirected. Directed graph example: >>> d_graph = GraphAdjacencyList() >>> d_graph {} >>> d_graph.add_edge(0, 1) {0: [1], 1: []} >>> d_graph.add_edge(1, 2).add_edge(1, 4).add_edge(1, 5) {0: [1], 1: [2, 4, 5], 2: [], 4: [], 5: []} >>> d_graph.add_edge(2, 0).add_edge(2, 6).add_edge(2, 7) {0: [1], 1: [2, 4, 5], 2: [0, 6, 7], 4: [], 5: [], 6: [], 7: []} >>> print(d_graph) {0: [1], 1: [2, 4, 5], 2: [0, 6, 7], 4: [], 5: [], 6: [], 7: []} >>> print(repr(d_graph)) {0: [1], 1: [2, 4, 5], 2: [0, 6, 7], 4: [], 5: [], 6: [], 7: []} Undirected graph example: >>> u_graph = GraphAdjacencyList(directed=False) >>> u_graph.add_edge(0, 1) {0: [1], 1: [0]} >>> u_graph.add_edge(1, 2).add_edge(1, 4).add_edge(1, 5) {0: [1], 1: [0, 2, 4, 5], 2: [1], 4: [1], 5: [1]} >>> u_graph.add_edge(2, 0).add_edge(2, 6).add_edge(2, 7) {0: [1, 2], 1: [0, 2, 4, 5], 2: [1, 0, 6, 7], 4: [1], 5: [1], 6: [2], 7: [2]} >>> u_graph.add_edge(4, 5) {0: [1, 2], 1: [0, 2, 4, 5], 2: [1, 0, 6, 7], 4: [1, 5], 5: [1, 4], 6: [2], 7: [2]} >>> print(u_graph) {0: [1, 2], 1: [0, 2, 4, 5], 2: [1, 0, 6, 7], 4: [1, 5], 5: [1, 4], 6: [2], 7: [2]} >>> print(repr(u_graph)) {0: [1, 2], 1: [0, 2, 4, 5], 2: [1, 0, 6, 7], 4: [1, 5], 5: [1, 4], 6: [2], 7: [2]} """ def __init__(self, directed: bool = True): """ Parameters: directed: (bool) Indicates if graph is directed or undirected. Default is True. """ self.adj_list = {} # dictionary of lists self.directed = directed def add_edge(self, source_vertex: int, destination_vertex: int) -> object: """ Connects vertices together. Creates and Edge from source vertex to destination vertex. Vertices will be created if not found in graph """ if not self.directed: # For undirected graphs # if both source vertex and destination vertex are both present in the # adjacency list, add destination vertex to source vertex list of adjacent # vertices and add source vertex to destination vertex list of adjacent # vertices. if source_vertex in self.adj_list and destination_vertex in self.adj_list: self.adj_list[source_vertex].append(destination_vertex) self.adj_list[destination_vertex].append(source_vertex) # if only source vertex is present in adjacency list, add destination vertex # to source vertex list of adjacent vertices, then create a new vertex with # destination vertex as key and assign a list containing the source vertex # as it's first adjacent vertex. elif source_vertex in self.adj_list: self.adj_list[source_vertex].append(destination_vertex) self.adj_list[destination_vertex] = [source_vertex] # if only destination vertex is present in adjacency list, add source vertex # to destination vertex list of adjacent vertices, then create a new vertex # with source vertex as key and assign a list containing the source vertex # as it's first adjacent vertex. elif destination_vertex in self.adj_list: self.adj_list[destination_vertex].append(source_vertex) self.adj_list[source_vertex] = [destination_vertex] # if both source vertex and destination vertex are not present in adjacency # list, create a new vertex with source vertex as key and assign a list # containing the destination vertex as it's first adjacent vertex also # create a new vertex with destination vertex as key and assign a list # containing the source vertex as it's first adjacent vertex. else: self.adj_list[source_vertex] = [destination_vertex] self.adj_list[destination_vertex] = [source_vertex] else: # For directed graphs # if both source vertex and destination vertex are present in adjacency # list, add destination vertex to source vertex list of adjacent vertices. if source_vertex in self.adj_list and destination_vertex in self.adj_list: self.adj_list[source_vertex].append(destination_vertex) # if only source vertex is present in adjacency list, add destination # vertex to source vertex list of adjacent vertices and create a new vertex # with destination vertex as key, which has no adjacent vertex elif source_vertex in self.adj_list: self.adj_list[source_vertex].append(destination_vertex) self.adj_list[destination_vertex] = [] # if only destination vertex is present in adjacency list, create a new # vertex with source vertex as key and assign a list containing destination # vertex as first adjacent vertex elif destination_vertex in self.adj_list: self.adj_list[source_vertex] = [destination_vertex] # if both source vertex and destination vertex are not present in adjacency # list, create a new vertex with source vertex as key and a list containing # destination vertex as it's first adjacent vertex. Then create a new vertex # with destination vertex as key, which has no adjacent vertex else: self.adj_list[source_vertex] = [destination_vertex] self.adj_list[destination_vertex] = [] return self def __repr__(self) -> str: return pformat(self.adj_list) if __name__ == "__main__": import doctest doctest.testmod()