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edge_weighted_graph.py
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edge_weighted_graph.py
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"""
* Execution: python edge_weighted_graph.py filename.txt
* Data files: https://algs4.cs.princeton.edu/43mst/tinyEWG.txt
* https://algs4.cs.princeton.edu/43mst/mediumEWG.txt
* https://algs4.cs.princeton.edu/43mst/largeEWG.txt
*
* An edge-weighted undirected graph, implemented using adjacency lists.
* Parallel edges and self-loops are permitted.
*
* % python edge_weighted_graph.py tinyEWG.txt
* 8 16
* 0: 6-0 0.58000 0-2 0.26000 0-4 0.38000 0-7 0.16000
* 1: 1-3 0.29000 1-2 0.36000 1-7 0.19000 1-5 0.32000
* 2: 6-2 0.40000 2-7 0.34000 1-2 0.36000 0-2 0.26000 2-3 0.17000
* 3: 3-6 0.52000 1-3 0.29000 2-3 0.17000
* 4: 6-4 0.93000 0-4 0.38000 4-7 0.37000 4-5 0.35000
* 5: 1-5 0.32000 5-7 0.28000 4-5 0.35000
* 6: 6-4 0.93000 6-0 0.58000 3-6 0.52000 6-2 0.40000
* 7: 2-7 0.34000 1-7 0.19000 0-7 0.16000 5-7 0.28000 4-7 0.37000
*
"""
from algs4.bag import Bag
from algs4.edge import Edge
class EdgeWeightedGraph:
def __init__(self, v=0, **kwargs):
self.V = v
self.E = 0
self.adj = {}
for v in range(self.V):
self.adj[v] = Bag()
if 'file' in kwargs:
# init a digraph by a file input
in_file = kwargs['file']
self.V = int(in_file.readline())
for v in range(self.V):
self.adj[v] = Bag()
E = int(in_file.readline())
for i in range(E):
v, w, weight = in_file.readline().split()
self.add_edge(Edge(int(v), int(w), float(weight)))
def __str__(self):
s = "%d vertices, %d edges\n" % (self.V, self.E)
for i in range(self.V):
adjs = " ".join([str(x) for x in self.adj[i]])
s += "%d: %s\n" % (i, adjs)
return s
def add_edge(self, e):
v = e.either()
w = e.other(v)
self.adj[v].add(e)
self.adj[w].add(e)
self.E += 1
def edges(self):
edges = []
for v in range(self.V):
for e in self.adj[v]:
if e.other(v) > v:
edges.append(e)
return edges
if __name__ == "__main__":
import sys
graph = EdgeWeightedGraph(file=open(sys.argv[1]))
print(graph)