zbrasseaux

# code for https://www.reddit.com/r/ProgrammerHumor/comments/gawu9i/and_using_light_theme/fp2rtxa/

def function(num1, sign, num2):
	if num1 == 1 and sign == '*' and num2 == 1:
		print('1*1=1')
	if num1 == 1 and sign == '*' and num2 == 2:
		print('1*2=2')
	if num1 == 1 and sign == '*' and num2 == 3:
		print('1*3=3')
	if num1 == 1 and sign == '*' and num2 == 4:

zbrasseaux

# code to generate code seen in https://i.redd.it/azecoqeevyv41.jpg
MAX = 12

print("\n\ndef function(num1, sign, num2):")

for i in range(MAX - 1):
	for j in range(MAX - 1):
		print("\tif num1 == " + str(i + 1) + " and sign == '*' and num2 == " + str(j + 1) + ":")
		print("\t\tprint('" + str(i + 1) + "*" + str(j + 1) + "=" + str((i + 1)*(j + 1)) + "')")

zbrasseaux

function results = hw2_07

  start_matrix = [4,4,4,4,8,8,8,8];

  output_A = medfilt1(start_matrix, 3);
  output_B = conv(start_matrix, [.25,.5,.25], 'same');

  results = [start_matrix;output_A;output_B];

end

zbrasseaux

function end_matrix = hw2_06

    % provided starting matrix
    start_matrix = [0,-1,-2,-3,-4,-5,-6,-7;
                    1,0,-1,-2,-3,-4,-5,-6;
                    2,1,0,-1,-2,-3,-4,-5;
                    3,2,1,0,-1,-2,-3,-4;
                    4,3,2,1,0,-1,-2,-3;
                    5,4,3,2,1,0,-1,-2;
                    6,5,4,3,2,1,0,-1;

zbrasseaux

function [A,B] = hw2_05
    % read in csv
    matrix_input = csvread('hw2_05.csv');
    % before histogram
    A = histogram(matrix_input);
    % provided filter
    filter = [-1,2,-1];
    % apply the filter to the image
    matrix_input_post = conv2(matrix_input, filter, 'same');
    % after histogram

zbrasseaux

import numpy as np

# define size of the output
SIZE_OF_ARRAY = 50

# start with an empty array
end_array = []

for i in range(0, SIZE_OF_ARRAY):
	temp_arr = []

zbrasseaux

function [results] = hw2_04

    % provided matrix and filters
    image_x = [10,10,10,10,10,40,40,40,40,40];
    filter_a = 1/5 * [1,1,1,1,1];
    filter_b = 1/10 * [1,2,4,2,1];
    
    % apply the filters to the image
    results_a = conv2(image_x, filter_a, 'same');
    results_b = conv2(image_x, filter_b, 'same');

zbrasseaux

function [x_filtered_std_dev] = hw2_03

    % generate 10 images of size 256x256 of pixel value 128
    x = ones(10,256,256)*128;

    % apply gaussian noise
    x = imnoise(x, 'gaussian', 0, 2.0);
    
    % solution for homework problem 3
    x_filtered = imgaussfilt(x, 1.4);

zbrasseaux

function [x_filtered_std_dev] = hw2_02

    % generate 10 images of size 256x256 of pixel value 128
    x = ones(10,256,256)*128;

    % apply gaussian noise
    x = imnoise(x, 'gaussian', 0, 2.0);
    
    % solution for homework problem 2
    x_filtered = apply_box_filter(x, 3);

zbrasseaux

function [x_std_dev] = hw2_01

    % generate 10 images of size 256x256 of pixel value 128
    x = ones(10,256,256)*128;

    % apply gaussian noise
    x = imnoise(x, 'gaussian', 0, 2.0);

    % calculate standard deviation
    x_std_dev = generate_std_dev(x);