-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathCutsAndCylinders_generator.py
More file actions
231 lines (148 loc) · 5.33 KB
/
CutsAndCylinders_generator.py
File metadata and controls
231 lines (148 loc) · 5.33 KB
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
import numpy as np
import itertools
import time
import os
import sys
import copy
from functools import wraps
def adjacentedge(e1,e2):
if (e1[0]==e2[0] and e1[1]!=e2[1]) or (e1[1]==e2[1] and e1[0]!=e2[0]) or (e1[1]==e2[0] and e1[0]!=e2[1]) or (e1[0]==e2[1] and e1[1]!=e2[0]):
return True
return False
def adjacentVertex(v1,v2,eset):
for e in list(eset):
if (e[0]==v1 and e[1]==v2) or (e[1]==v1 and e[0]==v2):
return 1
return 0
def adjacentset(vset,eset,vertex):
adjacent=set()
for e in list(eset):
if e[0]==vertex or e[1]==vertex:
adjacent.add(e)
return adjacent
def spanning_tree_finder(vset,eset):
spanning_tree_v={list(vset)[0]}
spanning_tree_e=set()
for i in range(0,len(vset)):
for v in list(vset):
adj=adjacentset(vset,eset,v)
for e_adj in list(adj):
if ((e_adj[0] in spanning_tree_v) and (e_adj[1] not in spanning_tree_v)) or ((e_adj[1] in spanning_tree_v) and (e_adj[0] not in spanning_tree_v)):
spanning_tree_e.add(e_adj)
spanning_tree_v.add(e_adj[1])
spanning_tree_v.add(e_adj[0])
return [spanning_tree_v,spanning_tree_e]
return spanning_tree_v
def generators_finder(vset,eset):
spanning_tree=spanning_tree_finder(vset,eset)
cycle_sets=[]
for e in list(eset):
if e not in spanning_tree[1]:
cycle=set()
st_cycle=set(spanning_tree[1])
st_cycle.add(e)
for e1 in list(st_cycle):
new_st_cycle=set(st_cycle)
new_st_cycle.remove(e1)
st_spanning_tree=spanning_tree_finder(vset, new_st_cycle)[1]
if len(st_spanning_tree)==len(new_st_cycle):
cycle.add(e1)
cycle.add(e)
cycle_sets.append(cycle)
return cycle_sets
def cycle_merger(cycle1,cycle2):
return cycle1.union(cycle2).difference(cycle1.intersection(cycle2))
def powerset(s):
x = len(s)
powa=[]
for i in range(1 << x):
powa.append([s[j] for j in range(x) if (i & (1 << j))])
return powa
def winding_cycle_finder(vset,eset,cycle_set,w_cycle):
zero_w_cycle=[]
one_w_cycle=[]
tot_one_w_cycle=[]
for i in range(0,len(cycle_set)):
if w_cycle[i]==0:
zero_w_cycle.append(cycle_set[i])
else:
one_w_cycle.append(cycle_set[i])
powa_zero_w_cycle=powerset(zero_w_cycle)
for cycle in one_w_cycle:
for cycle_set_p in powa_zero_w_cycle:
f_cycle=cycle
for cycle2 in cycle_set_p:
f_cycle=cycle_merger(f_cycle,cycle2)
tot_one_w_cycle.append(f_cycle)
return tot_one_w_cycle
def cutter(vset,eset,cycle_set,w_cycle):
winding_cycles=winding_cycle_finder(vset,eset,cycle_set,w_cycle)
#cycle_set_list=[list(cycle) for cycle in cycle_set]
#print(cycle_set_list)
prod=itertools.product(*winding_cycles)
prod_set=[set(prods) for prods in prod]
print("prod_set")
print(prod_set)
cuts=[]
#print("-----")
for st in prod_set:
# print(st)
graph_del_e=eset.difference(st)
counter1=0
# print("deleted graph")
# print(graph_del_e)
sp_tree=spanning_tree_finder(vset,graph_del_e)
st_v=set([e[0] for e in graph_del_e]).union(set([e[1] for e in graph_del_e]))
# print("spanning_tree")
# print(sp_tree)
# print(st_v)
if len(sp_tree[0])==len(st_v):
# print("yes")
counter1+=1
else:
print("no")
counter2=0
#in order to check minimality, add back the edges in the cut once at a time, and if adding back the edge does not restore at least one of the winding cycles, then it is not minimal
# print("-------")
# print("cut")
# print(st)
for e in st:
# print("*")
# print("winding_cycles")
# print(winding_cycles)
# print("edge")
# print(e)
gg=graph_del_e.difference(st).union(set([e]))
# print(gg)
counter3=0
for cyc in winding_cycles:
# print("cycle")
# print(cyc)
if len(cyc.difference(gg))==0:
# print("yes")
counter3+=1
if counter3==0:
counter2=1
if counter1>0 and counter2==0:
print("yes the cut is approved")
cuts.append(st)
return cuts
if __name__ == '__main__':
g=set([1])
g=set([(1,2)])
vset={1,2,3,4,5,6}
eset=set([(1,2),(2,3),(3,1),(4,3),(4,5),(5,6),(6,2)])
vset={1,2,3,4}
eset=set([(1,2),(2,3),(3,1),(4,3),(1,4),(2,4)])
listy=[1,2,3]
listy[1]
adjacentset(vset,eset,2)
print(list(adjacentset(vset,eset,2)))
print(spanning_tree_finder(vset,eset))
print(generators_finder(vset,eset))
#print(spanning_tree_finder(vset,{(6, 2), (2, 3), (4, 3), (4, 5), (3, 1)}))
print(winding_cycle_finder(vset,eset,generators_finder(vset,eset),[1,0,1]))
lst = list(itertools.product([0, 1], repeat=3))
print(lst)
cuts=cutter(vset,eset,generators_finder(vset,eset),[1,0,1])
print(cuts)