-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathtest.py
More file actions
91 lines (70 loc) · 1.9 KB
/
Copy pathtest.py
File metadata and controls
91 lines (70 loc) · 1.9 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
import fraglets
from lifelines import KaplanMeierFitter, NelsonAalenFitter
from multiprocessing import Pool
from matplotlib import pyplot as plt
def getIter(t):
frag = getFrag()
frag.run(1000000,2000,True)
print(frag.iter)
return frag.iter
def getFrag():
frag = fraglets.fraglets()
for i in range(20):
frag.parse("[fork nop z match z split match z fork fork fork nop z * split match z fork fork fork nop z * z]")
frag.parse("[perm z]")
# alphabet = "abu"
# permz = "perm z "
# for symbol in alphabet:
# newMol = permz + symbol
# frag.parse(newMol)
# print(newMol)
# newMol = permz + "z " + symbol
# frag.parse(newMol)
# print(newMol)
# permz = "perm z "
# for symbol in frag.unimolTags:
# newMol = permz + symbol
# frag.parse(newMol)
# print(newMol)
# newMol = permz + "z " + symbol
# frag.parse(newMol)
# print(newMol)
# for symbol in alphabet:
# newMol = permz + "match " + symbol
# frag.parse(newMol)
# print(newMol)
# newMol = permz + "z match " + symbol
# frag.parse(newMol)
# print(newMol)
# newMol = permz + "matchp " + symbol
# frag.parse(newMol)
# print(newMol)
# newMol = permz + "z matchp " + symbol
# frag.parse(newMol)
# print(newMol)
return frag
# frag.run(10000,200,True)
# pool = Pool(4)
# data = pool.map(getIter,range(100))
frags = []
data = []
for i in range(200):
frag=getFrag()
frag.run(1000,500,True)
print(frag.iter)
frags.append(frag)
greatest = frags[0]
for frag in frags:
if frag.iter > greatest.iter:
greatest = frag
data.append(frag.iter)
greatest.drawGraphViz()
print(data)
kmf = KaplanMeierFitter()
kmf.fit(data)
kmf.plot()
plt.show()
naf = NelsonAalenFitter()
naf.fit(data)
naf.plot()
plt.show()