1. from matplotlib import pyplot as pl
2. import numpy as np
3. from math import log, log10
4. from random import choice
5.  
6.  
7. # numbers = np.random.uniform(size=1000)
8.  
9.  
10. # def generateHistogram(numbers, bins):
11. #     min1 = min(numbers)
12. #     max1 = max(numbers)
13. #     diff = (max1 - min1) / bins
14. #     values = []
15. #
16. #     for i in range(0, bins, 1):
17. #         count = 0
18. #         for x in numbers:
19. #             if (x >= min1) and (x <= (min1 + diff)):
20. #                 count = count + 1
21. #         values.append(count)
22. #         min1 = min1 + diff
23. #
24. #     return values
25.  
26. #
27. # result = generateHistogram(result.values(), 10)
28. # fig = pl.figure()
29. # ax = pl.subplot()
30. # ax.bar(range(len(result)), result)
31. # pl.show()
32.  
33.  
34. file = open("norm_hamlet.txt")
35. txt = file.read()
36. result = {}
37.  
38. for x, text in enumerate(txt.strip()):
39.     try:
40.         result[txt.strip()[x:x + 5]] += 1
41.     except:
42.         result[txt.strip()[x:x + 5]] = 1
43. suma = 0
44. for k, v in result.items():
45.     suma += v
46.  
47. for k, v in result.items():
48.     result[k] = {
49.         'value': v,
50.         'new_value': int(round(v/suma, 3) * 1000),
51.         'v_sume': v/suma
52.     }
53.  
54. full_res = []
55. for k, v in result.items():
56.     for i in range(v['new_value']):
57.         full_res.append(k)
58.  
59. tekst = ""
60. counter = 0
61. for i in range(10000):
62.    tekst += choice(full_res)
63.    counter += 1
64.    if counter == 40:
65.        counter = 0
66.        tekst += '\n'
67.  
68. print(tekst)