-
Notifications
You must be signed in to change notification settings - Fork 10
Expand file tree
/
Copy pathexamples.py
More file actions
167 lines (118 loc) · 2.58 KB
/
examples.py
File metadata and controls
167 lines (118 loc) · 2.58 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
from coding import *
from galois import *
from random import choice,randint
print "### Finite Fields ###"
print "Z_7:"
Z7 = Zmod(7)
print Z7
for z in Z7:
if z.i == 0:
continue
print "%s*%s"%(str(z),str(z.mul_inv()))
print z*z.mul_inv()
print "(Z_2)^3:"
Z2 = Zmod(2)
print Z2**3
raw_input()
print "### Matricies ###"
A = Matrix(6,9,fill=lambda r, c:choice(Z7))
B = Matrix(9,2,fill=lambda r, c:choice(Z7))
print "A:"
print A
print "A^T:"
print Matrix.transpose(A)
print "(A^T)^T:"
print A.transpose().transpose()
print "B:"
print B
print "(A*B)^T:"
print (A*B).transpose()
print "B^T*A^T:"
print B.transpose()*A.transpose()
print "A reduced echelon:"
print A.get_reduced_echelon()
print "-A:"
print -A
raw_input()
print "### Linear Block Codes ###"
#make base 10 data set
data = [
[1,0,0,1,2],
[0,1,1,2,3]
]
#make matrix in GF(4)
G = Matrix(data=data).to_GF(4)
print "G:"
print G
code = LinearBlockCode(G)
print "H:"
print code.H
w = code.get_random_word()
print "w:"
print w
print Matrix(data=[to_base(w,4)])
c = Matrix(data=[code.encode([w])])
print "c:"
print c
print "c*H^T:"
print c*(code.H.transpose())
e = [0,0,0,0,0]
e[randint(0,4)]=randint(1,3)
e = Matrix(data=[e]).to_GF(4)
print "e:"
print e
print "c+e:"
print c+e
print "(c+e)*H^T"
print (c+e)*(code.H.transpose())
print "decode(c+e)"
print code.decode(c.get_row(0))[0]
#make base 10 data set
data = [
[1,0,0,0,0,1,1],
[0,1,0,0,1,0,1],
[0,0,1,0,1,1,0],
[0,0,0,1,1,1,1]
]
#make matrix in Zmod2
G = Matrix(data=data).to_Zmod(2)
print "G:"
print G
code = LinearBlockCode(G)
print "H:"
print code.H
w = code.get_random_word()
print "w:"
print w
print Matrix(data=[to_base(w,2)])
c = Matrix(data=[code.encode([w])])
print "c:"
print c
print "c*H^T:"
print c*(code.H.transpose())
e = Matrix(data=[[0,0,0,0,0,0,0]]).to_Zmod(2)
e.set(0,randint(0,6),FFE(1,2))
print "e:"
print e
print "c+e:"
print c+e
print "(c+e)*H^T"
print (c+e)*(code.H.transpose())
print "decode(c+e)"
print code.decode(c.get_row(0))[0]
print "test results of a 10% error rate chanel:"
rates = run_test(code, channel=TestChannel(.1))
for rate in rates:
print "\t%s: %f"%(rate,rates[rate])
print "test results of a 25% error rate chanel:"
rates = run_test(code, channel=TestChannel(.25))
for rate in rates:
print "\t%s: %f"%(rate,rates[rate])
print "test results of a 40% error rate chanel:"
rates = run_test(code, channel=TestChannel(.4))
for rate in rates:
print "\t%s: %f"%(rate,rates[rate])
raw_input()
print "### Primes ###"
for n in xrange(1,11):
print "The %d0,000th prime is: %d"%(n,get_prime(n*10000-1))