1. # -*- coding: utf-8 -*-
2. """
3. Created on Thu Mar  7 11:14:23 2019
4.  
5. @author: Student
6. """
7.  
8. #class VectorExample():
9. #    def __init__(self, input_list):
10. #        self.vector = input_list
11. #        
12. #    def foreach(self, other, input_function):
13. #        return VectorExample([input_function(self.vector[i], other.vector[i]) for i in range(len(self.vector))])
14. #        
15. #    def __add__(self,other):
16. #        return self.foreach(other, lambda a,b: a+b)
17. #    
18. #    def __sub__(self, other):
19. #        return self.foreach(other, lambda a,b: a-b)
20. #    
21. #    def __mul__(self, other):
22. #        return self.foreach(other, lambda a,b: a*b)
23. #    
24. #    def __truediv__(self,other):
25. #        return self.foreach(other, lambda a,b: a/b)
26. #    
27. #    def __str__(self):
28. #        return str(self.vector)
29. #
30. #
31. #def run():
32. #    vector_1 = VectorExample([1, 13, 4])
33. #    vector_2 = VectorExample([3, -2, 2])
34. #
35. #    print(vector_1 + vector_2)
36. #    print(vector_1 - vector_2)
37. #    print(vector_1 * vector_2)
38. #    print(vector_1 / vector_2)
39. #    
40. #if __name__== "__main__":
41. #   run()
42.  
43. import os
44. import numpy as np
45. from matplotlib  import pyplot as plt
46. from skimage import io
47.    
48. def run():
49.     example_array = np.array([
50.             [8,1,1,1],
51.             [9,7,5,3],
52.             [4,6,8,10],
53.             [2,3,5,7]
54.    
55.     ])
56.    
57.     noise_1 = np.random.randn(128,256)
58.     noise_2 = np.random.randn(128,256)
59.    
60.     vmin=-0.5;vmax=0.5
61.     plt.figure()
62.     plt.subplot(2,1,1)
63.     plt.imshow(noise_1,cmap='gray', vmin=vmin, vmax=vmax)
64.     plt.axis('off')
65.     plt.subplot(2,1,2)
66.     plt.imshow(noise_2, cmap='gray', vmin=vmin, vmax=vmax)
67.     plt.axis('off')
68.     plt.show()
69.    
70.    
71.  
72. run()
73.    
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