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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Imrich Nagy's website</title>
<style>
html, body {
margin: 0;
padding: 0;
font-family: sans-serif;
color: #193441;
background-color: #FCFFF5;
}
h1 {
margin: 30px 2.5% 10px;
color: #3E606F;
}
h2 {
margin: 30px 3% 10px;
color: #3E606F;
}
h3 {
margin: 30px 3.5% 10px;
color: #00cc00;
}
p {
margin: 30px 3.5% 10px;
color: #193441;
}
b {
color: #00cc00;
}
u {
color: #cc003e;
}
a {
margin: 0 3.5% 10px;
color: #3E606F;
}
img {
margin: 0 0 10px 3%;
background-color: white;
max-width: 90%;
}
@media (min-width: 960px) {
img {
max-width: 28%;
}
}
#myli {
margin: 0 3.5% 0;
color: #193441;
}
#menu {
margin: 0;
padding: 0;
border-top: 1px solid #aaa;
border-bottom: 1px solid #aaa;
margin: 10px 2.5%;
display: flex;
flex-direction: row;
list-style-type: none;
width: 95%;
}
#menu li {
flex: 1;
cursor: pointer;
padding: 15px 0;
text-align: center;
}
#menu li:hover {
background: #D1DBBD;
}
.main-content {
max-width: 95%;
margin: 50px 2.5%;
display: block;
}
</style>
</head>
<body>
<h1>Imrich Nagy - IV 122</h1>
<ul id="menu">
<li>Index</li>
<div class="content" style="display: none">
<h1>IV122 course page.</h1>
<p>This is my portfolio for the IV122 course. I will update it over time.</p>
<h1>Miscellaneous</h1>
<p>Stuff that doesn't belong to any specific lesson, but is rather used thorough whole semester.</p>
<h2>SVG</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/SVG.py">My svg library</a>
<p>
My library for working with .svg fileformat. Works in a similar way to Python image class.
You add lines using .line() method, more functionality will be added later.
Lines are added in mathematical x and y coordinates. The .close() method will flip y coordinates and normalize everything,
so that image will be diplayed right and no object will cross the zero lines.
</p>
<h2>Turtle</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/MyTurtle.py">My own turtle mplementation</a>
<p>
Uses my SVG library to output to .svg file. Methods have same names as Python Turtle's, so that my code is compatible wit both.
Some methods are just mocks to keep this compatibility (like .speed()). In order to output image to file, .save() method must be called.
</p>
<h1>Summary</h1>
<p>I tried to do as much as I could. The IV122 course is nor mandatory nor optional in my study template. I chose it simply because I liked and enjoyed it and I look forward to deep into it more during summer. I am bad at doing web and it is too time-consuming for me, therefore, lack of bragging about code quality means that code really is good and everything can be parametrized. I tried to use Python's default arguments everywhere, so that functions can be both used easily, but can be experimented with as well. For me, the baseline is that I fulfill all the assignments, that the code is nice and well-organized and that it is as parametrizable and versatile as possible. Whenever I failed to do so, the text is underlined. If I did more or I did bonus, the text is bold.</p>
<p>Lesson 1: Everything is complete, including outputs. I also did <b>bonuses for the star.</b> Bonus with factorization did not interrest me. <b>I made star very versatille and I did lots of interesting outputs for the Ulam spiral.</b></p>
<p>Lesson 2: Everything is complete, including outputs. For D), I did effective modulo powers. I made custom coloring function for Pascal's triangle. I consider the code for this whole lesson to be especially good, without any code repetition.</p>
<p>Lesson 3: Everything is complete, including outputs. Pentagram both using absolute and relative coordinates. <b>I did all the bonus pictures</b> and for the D), I made 2 more turtle pictures (Sierpinski carpet and nested squares). I also did Koch's snowflake and Sierpinski's triangle in more ways. All the functions are parametrizable, especially B), where i can do <b>general nested polygons</b>, parametrizable circle lines etc.</p>
<p>Lesson 4: Everything is complete, including outputs. I made 2 more own effects for C) and <b>whole bonus, all of it</b>. Ellypse is really good, it can be rotated by any angle.</p>
<p>Lesson 5: Everything is complete, including outputs. <b>For the bonus, I created custom point-generating functions and temporary "hacks" to create great output images</b>. Triangulation is done by both random and heuristic algorithms.</p>
<p>Lesson 6: Everything is complete, including outputs. In A) I colored the pictures in another way as was suggested in the assignment. Feinberg diagram can have custom cut-out, resolution and quality. I did all bonuses, <b>both variable line width and color and stochastic systems support. I also did my own bonus, the forest, which generates interesting randomized pictures of... forest</b>.</p>
<p>Lesson 7: Everything is complete, including outputs. All 3 functions have multithreading support and custom coloring options. I also did a short gif of zooming into Mandelbrot set. I am bad with video, so I did not make more, but support is there. <u>Code is a bit messy to my taste.</u></p>
<p>Lesson 8: A did everything, but I <u>did not create data for more pictures</u> and I did not extend the code in any way, because this lesson did not interest me. Therefore, there are only <u>few output pictures</u>.</p>
<p>Lesson 9: A, B, D complete, <u>C is missing</u> (not much interest in this lesson).</p>
<p>Lesson 10: <u>Both functions missing</u>. Lesson did not interest me and I rather did more bonuses elsewhere.</p>
<p>Lesson 13: Everything is complete, including outputs. I chose to make dynamite maze. It works and prints to SVG.</p>
<p>Lesson 14: Everything is complete, including outputs. I chose to do perfect maze on hexagonal grid.</p>
<h2>My 3 flagships:</h2>
<h3>1: L-system implemetation and forest in lesson 6</h3>
<h3>2: Triangulation experiments in lesson 5</h3>
<h3>3: Hexagonal maze in lesson 14</h3>
</div>
<li>1</li>
<div class="content" style="display: none">
<h1>Lesson 1</h1>
<h2>A</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/1_A.py">Code</a>
<p>No need for description. No output images.</p>
<h2>B</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/1_B.py">Code</a>
<p>
Test image was straightforward (customizable size). I made the star() function with customizable size, number of "quadrants",
number of lines and coloring function, that can depend on many parameters. Here are some examples:
</p>
<h2>Output images</h2>
<p>Test</p>
<img src="output_images/1/test_picture_256.BMP">
<p>star(100, 4, 10)</p>
<img src="output_images/1/star_100_4_10.svg">
<p>star(200, 3, 30)</p>
<img src="output_images/1/star_200_3_30.svg">
<p>star(200, 7, 20, lambda x1, y1, x2, y2, i, n : (255*i//n, 255*(n-i)//n, 127))</p>
<img src="output_images/1/star_c0.svg">
<p>star(100, 4, 15, lambda x1, y1, x2, y2, i, n: (255*i//n, 255*i//n, round(sin(radians(180*i/n))*255)))</p>
<img src="output_images/1/star_c1.svg">
<p>star(100, 4, 15, lambda x1, y1, x2, y2, i, n: (200-round(sin(radians(180*i/n))*200), round(200-sin(radians(180*i/n))*200), round(200-sin(radians(180*i/n))*200)))</p>
<img src="output_images/1/star_c2.svg">
<p>star(200, 5, 250, lambda x1, y1, x2, y2, i, n : (1023*i//n%255, 511*i//n%255, 2047*i//n%255))</p>
<img src="output_images/1/star_c3.svg">
<h2>C</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/1_C.py">Code</a>
<p>
The ulam function takes boolean function as a paremeter, to determine whether put pixel or not.
</p>
<p>ulam(1000, prime)</p>
<img src="output_images/1/ulam_1000_prime.bmp">
<p>ulam(1000, lambda n: n % 17 == n % 5)</p>
<img src="output_images/1/ulam_mod17_is_mod5.bmp">
<p>ulam(1000, lambda n: digit_sum(n) % 31 == 1)</p>
<img src="output_images/1/ulam_digitsummod31is1.bmp">
<p>ulam(1000, lambda n: digit_sum(n) ** 2 % 83 >= 10)</p>
<img src="output_images/1/ulam_digitsumPow2mod83greaterorequal10.bmp">
<h2>D</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/1_D.py">Code</a>
<p>Efectivity of minus algorhithm.</p>
<img src="output_images/1/stepsMinus32.bmp">
<p>Efectivity of modulo algorhithm.</p>
<img src="output_images/1/stepsMod12.bmp">
<p>Where the modulo algorhithm perfoms much better.</p>
<img src="output_images/1/diff.bmp">
</div>
<li>2</li>
<div class="content" style="display: none">
<h1>Lesson 2</h1>
<h2>A: Generating combinations, permutations and variations</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/2_A-combinatorics.py">Code</a>
<p>The code is compact and straightforward. I avoided code repetition by creating a common recursive iterator for lists. Everything is as fast as possible considering the need for list copying.</p>
<h2>B: Pascal's triangle</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/2_B-pascal.py">Code</a>
<p>
Pascal's triangle is computed at once and interpreted using a list of rows, where the row is a simple list of integers. I output triangle to SVG using "rect" element. Printer colors individual squares using custom coloring function, that takes d and their corresponding number. I also made 2 such functions, basic_c colors according to the example in the assignment, the other one simply maps blue uniformly according to the modulus.
</p>
<h2>Output images</h2>
<p>pascal(30, 5)</p>
<img src="output_images/2/pascal_30_5.svg">
<p>pascal(83, 83, 5, bluish_c)</p>
<img src="output_images/2/pascal_83_83_5_bluish.svg">
<p>pascal(200, 17, 1, bluish_c)</p>
<img src="output_images/2/pascal_200_17_1_bluish.svg">
<h2>C: Computing Π</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/2_C-pi_computation.py">Code</a>
<p>Both Leibniz formula and Archimedes method are usable. Archimedes method is significantly more precise with lower n, but more time consuming per accuracy increase as well. Considering precision / absolute time taken ratio, Archimedes is better. Both Monte Carlo methods are useless, they are time inefficient and random one's precision is nondeterministic.</p>
<h2>D: Effective modular exponentiation</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/2_D-modulo_power.py">Code</a>
<p>While the second algorithm should be, in theory, faster than naive one, optimizations in Python do their job and the naive algorithm is much faster. The second one, one the other hand, uses less memory (O(k)). Both of them are rendered useless when introduced to effective modulo algorithm. It has O(log n) time complexity and shares same asymptotic space complexity with the second algorithm. O(log n) is so much faster than previous algorithms, that it is irrelevant to test them at higher numbers (with n = 99,999,999 it is just under 1 second vs roughly half a minute).</p>
</div>
<li>3</li>
<div class="content" style="display: none">
<h1>Lesson 3</h1>
<h2>Code</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/3-Geometry_and_turtle_graphics.py">Lesson 3 code</a>
<p>
I setup my turtle at the beginning. I could give each function it's own turtle through arguments,
but this is more practical for testing and working with. I can swap between Python Turtle and MyTurtle easily.
Python Turtle is better for testing, since I can see the process of drawing and I don't have to save the picture.
I use MyTurtle for final outputs for this portfolio.
</p>
<h2>A</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/MyTurtle.py">Code</a>
<p>My Turtle implementation.</p>
<h2>B</h2>
<h2>Output images</h2>
<p>pentagram_absolute(200), pentagram_turtle(200), square_spiral(20, 200), circle_lines(100, 20), nested_polygons(3, 200, 10), nested_polygons(6, 200, 10), diamond(12, 30)</p>
<img src="output_images/3/penta_200.svg">
<img src="output_images/3/penta_200_julie.svg">
<img src="output_images/3/square_spiral_20_200.svg">
<img src="output_images/3/circle_lines_100_20.svg">
<img src="output_images/3/poly.svg">
<img src="output_images/3/poly_6.svg">
<img src="output_images/3/diamond_12_30.svg">
<h2>C</h2>
<p>tree(200)</p>
<img src="output_images/3/tree_200.svg">
<p>I made 2 methods to create koch's snowflake.</p>
<p>snowflake(400), snowflake2(400)</p>
<img src="output_images/3/snowflake_400.svg">
<img src="output_images/3/snowflake2_400.svg">
<p>fractal(400), hilbert(), penta_star(400), krishna(5, 6)</p>
<img src="output_images/3/fractal_400.svg">
<img src="output_images/3/hilbert.svg">
<img src="output_images/3/penta_star_400.svg">
<img src="output_images/3/krishna_5_6.svg">
<h2>D</h2>
<p>cookie(l), nested_squares(10)</p>
<img src="output_images/3/cookie_with_fill.png">
<img src="output_images/3/nested_squares_10.svg">
</div>
<li>4</li>
<div class="content" style="display: none">
<h1>Lesson 4</h1>
<h2>A: Basic shapes</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/4_A-basic_shapes.py">Code</a>
<p>I tried to make the functions for every shape as parametrizable as possible. Ellipse can be rotated by any angle and has parametrized axes. Not much to talk about here.</p>
<h2>Output images</h2>
<p>circle(256), circular_parametric(256, 10000), spiral(256, 5, 50), triangle(512), ellipse_rotated(256, 1, 2, 45)</p>
<img src="output_images/4/circle_256.png">
<img src="output_images/4/circular_param_256_10000.png">
<img src="output_images/4/spiral_256_5_50.png">
<img src="output_images/4/triangle_512.png">
<img src="output_images/4/ellipse_256_1_2_45.png">
<h2>B: Polygon</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/4_B-Polygon.py">Code</a>
<p>
My polygon doesn't work with absolutely vertical and horizontal lines and minor rounding errors may occur, but it works for the majority of polygons, both convex and concave.
</p>
<h2>Output images</h2>
<p>polygon([(10, 10), (180, 20), (160, 150), (100, 50), (20, 180)])</p>
<img src="output_images/4/polygon.png">
<h2>C: Effects</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/2_C-pi_computation.py">Code</a>
<p>
Functions e1, e2, e3 are for effects from an assignment, m1 and m2 are my own.
</p>
<h2>Output images</h2>
<p>e1(10, 30, 66), e2(256, 192), e3(256)</p>
<img src="output_images/4/e1_10_30_66.png">
<img src="output_images/4/e2_256_192.png">
<img src="output_images/4/e3_256.png">
<p>m2(256), m1(256, 8)</p>
<img src="output_images/4/m2_256.png">
<img src="output_images/4/m1_256_8.png">
<h2>D: Hide and seek</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/4_D-Hide_n_seek.py">Code</a>
<p>For first image, I simply put black pixel where ammount of blue was higher than 0. For second image, i averaged the colors and it revealed the word KOZA enough. Using photoshop, i moved the third picture with transparency above itself and found the word.</p>
<img src="output_images/4/sk1.png">
<img src="output_images/4/sk2.png">
<h2>My cipher:</h2>
<p>>>> myCipher("The cake is a lie. Half Life 3 is real. Chemtrails are real. Han shot first. Frodo, in fact, does simply walk into Mordor. Kardashians are not real celebrities. The President's Book of Secrets exists. PlayerUnknown's Battlegrounds is overrated. Bill Cipher is not dead.")</p>
<p>>>> myDecipher()</p>
<p>The cake is a lie. Half Life 3 is real. Chemtrails are real. Han shot first. Frodo, in fact, does simply walk into Mordor. Kardashians are not real celebrities. The President's Book of Secrets exists. PlayerUnknown's Battlegrounds is overrated. Bill Cipher is not dead.</p>
<p>Cipher works. This is how the output image looks like:</p>
<img src="output_images/4/cipher.png">
</div>
<li>5</li>
<div class="content" style="display: none">
<h1>Lesson 5</h1>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/5-Basic_geometric_algorithms.py">Code</a>
<h2>A: Line segment intersection</h2>
<p>crosses(200, 50, 40)</p>
<img src="output_images/5/crosses_200_50_40.svg">
<h2>B: Triangulation</h2>
<p>
I made both random and heuristic triangulations. The random one gives (as expected) awful results,
heuristic ones are much better. The heuristic method has O(count^4) time complexity, but its results are way "nicer". I also made some point generating functions that are not random.
</p>
<p>triangulation_random(200, 50)</p>
<img src="output_images/5/triang_r_200_50.svg">
<p>triangulation_heuristic(200, 100)</p>
<img src="output_images/5/triang_h_200_100.svg">
<p>
triangulation_heuristic(500, 20, hexa_points) This one shows, how the algorithm is far from optimal, all hexagons should have triangles inside with optimal algorithm.</p>
<img src="output_images/5/triang_h_500_20_hexa.svg">
<p>triangulation_heuristic(500, 20, square_points)</p>
<img src="output_images/5/triang_h_500_20_square.svg">
<p>square_points without shorter lines (one-time-one-purpose code change)</p>
<img src="output_images/5/triang_square_no_short_lines.svg">
<p>hexa_points without shorter lines (one-time-one-purpose code change)</p>
<img src="output_images/5/triang_hexa_no_short_lines.svg">
<h2>C: Convex wrap</h2>
<p>I implemented Jarvis's algorithm for gift wrapping.</p>
<p>convex_wrap(512, 8), convex_wrap(512, 128)</p>
<img src="output_images/5/convex_wrap_512_8.svg">
<img src="output_images/5/convex_wrap_512_128.svg">
</div>
<li>6</li>
<div class="content" style="display: none">
<h1>Lesson 6</h1>
<h2>A: Chaos game</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/6_A-Chaos_game.py">Code</a>
<p>Basic polygon point distribution, coloring olny by global position.</p>
<h2>Output images</h2>
<img src="output_images/6/chaos_2000_11_onethird_1000000_nice.png">
<img src="output_images/6/chaos_2000_3_05_1000000_nice.png">
<img src="output_images/6/chaos_2000_3_twothirds_100000_nice.png">
<img src="output_images/6/chaos_2000_4_twothirds_1000000_nice.png">
<img src="output_images/6/chaos_2000_6_05_1000000_nice.png">
<img src="output_images/6/chaos_2000_6_onethird_1000000_nice.png">
<img src="output_images/6/chaos_2000_6_twothirds_250000_nice.png">
<img src="output_images/6/chaos_2k_83_1over15_1m_nice.png">
<img src="output_images/6/chaos_2k_5_piover6_1m_nice.png">
<h2>B: Feinberg's diagram</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/6_B-Feinberg.py">Code</a>
<p>Custom resolution, quality and cutout.</p>
<h2>Output images</h2>
<img src="output_images/6/feinberg_2k_25k_3_4.png">
<img src="output_images/6/feinberg_2k_50k_1.png">
<h2>C: L-systems</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/6_C-L_system.py">Code</a>
<p>Data are completely separated from code, support for stochastic systems and coloring. Instead of trying new L-systems I created forest function and tried something completely different.</p>
<h2>Output images</h2>
<img src="output_images/6/hilbert.svg">
<img src="output_images/6/koch.svg">
<img src="output_images/6/sierpinski.svg">
<img src="output_images/6/tree.svg">
<img src="output_images/6/tree2.svg">
<img src="output_images/6/stochastic_tree.svg">
<img src="output_images/6/tree3.svg">
<h2>Forest</h2>
<p>Images are big. I would recommend using something fast for SVG, either Edge browser or ImageMagick Display. Chrome takes minutes to render it completely.</p>
<a target="_blank" href="output_images/6/forest.png">PNG</a>
<a target="_blank" href="output_images/6/forest.svg">SVG</a>
</div>
<li>7</li>
<div class="content" style="display: none">
<h1>Lesson 7</h1>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/7-Fractals_and_complex_numbers.py">Code</a>
<p>I made functions to use 4 threads to speed them up. I found good color variant for each one and created short gif of Mandelbrot zooming. Each fractal can be drawn with custom cut out, resolution per one mathematical "unit" and count of iterations.</p>
<h2>Output images</h2>
<p>newton(res=256, iter_count=100)</p>
<img src="output_images/7/newton.bmp">
<p>julius(-0.13 + 0.75j, 1024, 100)</p>
<img src="output_images/7/julius.bmp">
<p>mandelbrot(res=1024, iter_count=100)</p>
<img src="output_images/7/mand.png">
<p>Mandelbrot zoom</p>
<img src="output_images/7/mand_anim.gif">
</div>
<li>8</li>
<div class="content" style="display: none">
<h1>Lesson 8</h1>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/8-Linear_transformations_MRCM.py">Code</a>
<p>Code is complete, but I had no time to make more pictures and this lesson did not interest me that much.</p>
<h2>Output images</h2>
<img src="output_images/8/ukazka1.svg">
<img src="output_images/8/ukazka2.svg">
<img src="output_images/8/ukazka3.svg">
<img src="output_images/8/s1.svg">
<img src="output_images/8/barnsley.svg">
<img src="output_images/8/star.svg">
</div>
<li>9</li>
<div class="content" style="display: none">
<h1>Lesson 9</h1>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/9/9-Probability_and_statistics.py">Code</a>
<h2>A: Monty Hall Problem</h2>
<p>As expected, if one stays with his original choice (s), he has 1/3 chance to win. Changing choice (c) brings 2/3 chance to win. Random choice (r) gives you 1/2 chance to win. Monty Hall makes sense. Your first choice is right in 33% of cases. It means that most of the time, you are wrong to stay. In 66% of cases, you guessed wrong and by changing your choice, you have to win, because the host eliminated the wrong option.</p>
<pre>
>>> monty_hall(1000, "s")
32.4%
>>> monty_hall(1000, "s")
30.4%
>>> monty_hall(1000, "s")
30.599999999999998%
>>> monty_hall(1000, "c")
65.10000000000001%
>>> monty_hall(1000, "c")
68.60000000000001%
>>> monty_hall(1000, "c")
65.4%
>>> monty_hall(1000, "r")
50.2%
>>> monty_hall(1000, "r")
49.5%
>>> monty_hall(1000, "r")
52.6%
</pre>
<h2>B: Non-random numbers</h2>
<p>Using analyse() function, we can eliminate some of the files. File 1 is not random, generation is altered, so that 2 same numbers in direct succession don't occur as much. File 2 is not random, number 2 occurs less and 5 occurs more. File 3 seems random. File 4 is in no way random, no 2 successive odd or even numbers occur in this one. File 5 is not random, occurrences after some numbers are shifted towards 1->6, 3->4, 4->1, 5->3, 6->2. File 6 is not random, n->(8-n)%6 cases are reduced. File 7 seems random. Zipping files shows, that files 4-7 contain repeating subsequences, with file 6 being just one bigger cycling sequence.</p>
<p>Overall, only file 3 is random.</p>
<h2>D: Bayes' theorem</h2>
<p>Both approaches are implemented and they work, not much to talk about here.</p>
</div>
<li>10</li>
<div class="content" style="display: none">
<h1>Lesson 10</h1>
<p>TODO</p>
</div>
<li>13</li>
<div class="content" style="display: none">
<h1>Lesson 13</h1>
<h2>A: Number maze</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/13_A-Number_maze.py">Code</a>
<p>Well, it works and finds all the shortest solutions there are.</p>
<pre>
MAZE = [[2, 4, 4, 3, 3],
[2, 3, 3, 2, 3],
[3, 2, 3, 1, 3],
[2, 2, 3, 2, 1],
[1, 4, 4, 4, 0]]
>>> solve(MAZE, (0, 0), (4, 4))
result:
(0, 0) (2, 0) (2, 3) (1, 3) (1, 1) (1, 4) (4, 4)
</pre>
<h2>B: Dynamite maze</h2>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/13_B-Dynamite_maze.py">Code</a>
<p>Works and prints to svg.</p>
<h2>Output images</h2>
<img src="output_images/13/simple.svg">
<img src="output_images/13/maze.svg">
</div>
<li>14</li>
<div class="content" style="display: none">
<h1>Lesson 14: Maze generation</h1>
<a target="_blank" href="https://github.com/NimRo97/iv122/blob/master/code/14-Maze_generation.py">Code</a>
<p>
I chose to create hexagonal maze. Both square and hexa mazes are generated using DFS and both are perfect mazeses. They can be generated with custom sizes and are randomized.
</p>
<h2>Output images</h2>
<p>square(20)</p>
<img src="output_images/14/labirinth_20.svg">
<p>hexa(20)</p>
<img src="output_images/14/hexa_20.svg">
</div>
</ul>
<div class="main-content">
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