-
Notifications
You must be signed in to change notification settings - Fork 8
/
Copy pathGraphLib.py
249 lines (206 loc) · 5.33 KB
/
GraphLib.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
from collections import Counter
import random
from WeightedEdge import Edge # weighted, undirected
from DirectedEdge import DEdge # weighted, directed
## build a Graph
## V = number of vertices
## E = number of edges
class Graph(object):
"""defines an undirected graph"""
def __init__(self, V, E=None):
self._V = V
self._adj = []
for v in range(self._V):
self._adj.append(Counter())
if E:
# builds a random graph with E edges
for e in range(E):
v = int(random.random() * V)
w = int(random.random() * V)
self.addEdge(v, w)
print '{0} to {1}'.format(v, w)
def addEdge(self, v, w):
"add edge v - w (parallel edges and self-loops allowed)"
self._adj[v][w] += 1
self._adj[w][v] += 1
def adj(self, v):
"return all vertices adjacent to v"
return self._adj[v]
def V(self):
"number of vertices"
return self._V
def E(self):
"number of edges (incl self-loops and parallel edges)"
e = 0
for v in range(self._V):
e = sum(self._adj[v].values()) + e
return e/2
def _isSelfLoop(self, v, w):
return v == w
def showEdges(self):
"shows 1 of each edge; if parallel edges, just shows 1 of them"
edict = {}
for v in range(self._V):
for w in self.adj(v):
if (w, v) not in edict:
edict[tuple([v, w])] = True
print '{0} to {1}'.format(v, w)
def removeEdge(self, v, w):
if w not in self.adj(v):
print "no such edge"
else:
self._adj[v][w] -= 1
self._adj[w][v] -= 1
if not self._adj[v][w]:
del(self._adj[v][w])
del(self._adj[w][v])
def __repr__(self):
"Everything about an undirected graph"
return "Graph(V=%r, E=%r)" % (self.V(), self.E())
class Digraph(object):
"""defines a directed, unweighted graph"""
def __init__(self, V):
self._V = V
self._adj = []
for v in range(self._V):
self._adj.append(Counter())
def addEdge(self, v, w):
"add edge v - w (parallel edges and self-loops allowed)"
self._adj[v][w] += 1
def adj(self, v):
"return all vertices adjacent to v"
return self._adj[v]
def V(self):
"number of vertices"
return self._V
def E(self):
"number of edges (incl self-loops and parallel edges)"
e = 0
for v in range(self._V):
e = sum(self._adj[v].values()) + e
return e
def _isSelfLoop(self, v, w):
return v == w
def showEdges(self):
"shows each directed edge"
for v in range(self._V):
for w in self.adj(v):
print '{0} -> {1}'.format(v, w)
def edges(self):
"returns list of edges"
edges = []
for v in range(self._V):
for w in self.adj(v):
edge = '{0} => {1}'.format(v, w)
edges.append(edge)
return edges
def removeEdge(self, v, w):
if w not in self.adj(v):
print "no such edge"
else:
self._adj[v][w] -= 1
if not self._adj[v][w]:
del(self._adj[v][w])
def reverse(self):
R = Digraph(self._V)
for v in range(self._V):
for w in self._adj[v]:
R.addEdge(w, v)
return R
def __repr__(self):
"Everything you need to know about a digraph"
return "Digraph(V=%r, E=%r, edges=%r)" % (self.V(), self.E(), self.edges())
class EdgeWeightedGraph(object):
"An undirected graph with weighted edges"
def __init__(self, V=None, EG=None):
if V:
# constructs a graph
self._V = V
self._E = 0
self._adj = []
for _ in range(self._V):
# bag of weighted edges incident on each v
self._adj.append(Counter())
elif EG:
# constructs a copy of graph EG
self._V = EG.V()
self._E = EG.E()
self._adj = []
for v in range(self._V):
self._adj.append(EG.adj(v))
else:
return "Error: missing argument"
def V(self):
return self._V
def E(self):
return self._E
def addEdge(self, e):
"add weighted edge v-w to graph"
v = e.either()
w = e.other(v)
self._adj[v][e] += 1
self._adj[w][e] += 1
self._E += 1
def adj(self, v):
"return all edges incident on v"
return self._adj[v]
def edges(self):
"returns a list of edges"
edge_list = []
for v in range(self._V):
selfLoops = 0
for e in self._adj[v]:
if e.other(v) > v:
edge_list.append(e)
elif e.other(v) == v:
if (selfLoops % 2 == 0):
edge_list.append(e)
selfLoops += 1
return edge_list
def __repr__(self):
"Everything you need to know about a weighted graph"
return "V=%r, E=%r, edges=%r" % (self._V, self._E, [e for e in self.edges()])
class EdgeWeightedDigraph(object):
"a directed graph with weighted edges"
def __init__(self, V=None, EG=None):
if V:
# constructs a graph
self._V = V
self._E = 0
self._adj = []
for _ in range(self._V):
# bag of weighted edges incident on each v
self._adj.append(Counter())
elif EG:
# constructs a copy of graph EG
self._V = EG.V()
self._E = EG.E()
self._adj = []
for v in range(self._V):
self._adj.append(EG.adj(v))
else:
return "Error: missing argument"
def V(self):
"returns number of vertices"
return self._V
def E(self):
"returns number of edges"
return self._E
def addEdge(self, e):
"add weighted edge v->w to graph"
v = e.src()
self._adj[v][e] += 1
self._E += 1
def adj(self, v):
"return all edges incident on v"
return self._adj[v]
def edges(self):
"returns a list of edges"
edge_list = []
for v in range(self._V):
for e in self._adj[v]:
edge_list.append(e)
return edge_list
def __repr__(self):
"Everything you need to know about a weighted digraph"
return "V=%r, E=%r, edges=%r" % (self._V, self._E, [e for e in self.edges()])