# -*- coding: utf-8 -*-
"""
Created on Thu Mar  7 11:14:23 2019

@author: Student
"""

#class VectorExample():
#    def __init__(self, input_list):
#        self.vector = input_list
#        
#    def foreach(self, other, input_function):
#        return VectorExample([input_function(self.vector[i], other.vector[i]) for i in range(len(self.vector))])
#        
#    def __add__(self,other):
#        return self.foreach(other, lambda a,b: a+b)
#    
#    def __sub__(self, other):
#        return self.foreach(other, lambda a,b: a-b)
#    
#    def __mul__(self, other):
#        return self.foreach(other, lambda a,b: a*b)
#    
#    def __truediv__(self,other):
#        return self.foreach(other, lambda a,b: a/b)
#    
#    def __str__(self):
#        return str(self.vector)
#
#
#def run():
#    vector_1 = VectorExample([1, 13, 4])
#    vector_2 = VectorExample([3, -2, 2])
#
#    print(vector_1 + vector_2)
#    print(vector_1 - vector_2)
#    print(vector_1 * vector_2)
#    print(vector_1 / vector_2)
#    
#if __name__== "__main__":
#   run()

import os
import numpy as np
from matplotlib  import pyplot as plt
from skimage import io
    
def run():
    example_array = np.array([
            [8,1,1,1],
            [9,7,5,3],
            [4,6,8,10],
            [2,3,5,7]
    
    ])
    
    noise_1 = np.random.randn(128,256)
    noise_2 = np.random.randn(128,256)
    
    vmin=-0.5;vmax=0.5
    plt.figure()
    plt.subplot(2,1,1)
    plt.imshow(noise_1,cmap='gray', vmin=vmin, vmax=vmax)
    plt.axis('off')
    plt.subplot(2,1,2)
    plt.imshow(noise_2, cmap='gray', vmin=vmin, vmax=vmax)
    plt.axis('off')
    plt.show()
    
    

run()