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chore: merge Fix/742 migrate doctest to jest (#749)
* Remove QuickSelect doctest There are more Jest test cases already. * Remove AverageMedian doctest Already migrated to jest * Migrate doctest for BinaryExponentiationRecursive.js (also remove inline "main" test method) * Migrate doctest for EulersTotient.js (also remove inline "main" test method) * Migrate doctest for PrimeFactors.js (also remove inline "main" test method) * Migrate doctest for BogoSort.js Re-write prototype-polluting helper methods, too. (also remove inline test driver code) * Migrate doctest for BeadSort.js (also remove inline test driver code) * Migrate doctest for BucketSort.js (also remove inline test driver code) * Migrate doctest for CocktailShakerSort.js (also remove inline test driver code) * Migrate doctest for MergeSort.js (also remove inline test driver code) * Migrate doctest for QuickSort.js (also remove inline test driver code) * Migrate doctest for ReverseString.js (also remove inline test driver code) * Migrate doctest for ReverseString.js * Migrate doctest for ValidateEmail.js * Migrate doctest for ConwaysGameOfLife.js (remove the animate code, too) * Remove TernarySearch doctest Already migrated to jest * Migrate doctest for BubbleSort.js (also remove inline test driver code) * Remove doctest from CI and from dependencies relates to #742 fixes #586 * Migrate doctest for RgbHsvConversion.js * Add --fix option to "standard" npm script * Migrate doctest for BreadthFirstSearch.js (also remove inline test driver code) * Migrate doctest for BreadthFirstShortestPath.js (also remove inline test driver code) * Migrate doctest for EulerMethod.js (also remove inline test driver code) Move manual test-code for plotting stuff in the browser in a distinct file, too. Those "*.manual-test.js" files are excluded from the UpdateDirectory.mjs script, as well. * Migrate doctest for Mandelbrot.js (also remove inline test driver code & moved manual drawing test into a *.manual-test.js) * Migrate doctest for FloodFill.js * Migrate doctest for KochSnowflake.js (also move manual drawing test into a *.manual-test.js) * Update npm lockfile * Update README and COMMITTING with a few bits & bobs regarding testing & code quality
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@ -1,34 +1,20 @@
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/**
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* The Koch snowflake is a fractal curve and one of the earliest fractals to have been described.
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* The Koch snowflake can be built up iteratively, in a sequence of stages. The first stage is an
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* equilateral triangle, and each successive stage is formed by adding outward bends to each side of
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* the previous stage, making smaller equilateral triangles. This can be achieved through the
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* following steps for each line: 1. divide the line segment into three segments of equal length. 2.
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* draw an equilateral triangle that has the middle segment from step 1 as its base and points
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* outward. 3. remove the line segment that is the base of the triangle from step 2. (description
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* adapted from https://en.wikipedia.org/wiki/Koch_snowflake ) (for a more detailed explanation and
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* an implementation in the Processing language, see
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* https://natureofcode.com/book/chapter-8-fractals/ #84-the-koch-curve-and-the-arraylist-technique
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* ).
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*
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* The Koch snowflake can be built up iteratively, in a sequence of stages. The first stage is an equilateral triangle,
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* and each successive stage is formed by adding outward bends to each side of the previous stage, making smaller
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* equilateral triangles. This can be achieved through the following steps for each line:
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* 1. divide the line segment into three segments of equal length.
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* 2. draw an equilateral triangle that has the middle segment from step 1 as its base and points outward.
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* 3. remove the line segment that is the base of the triangle from step 2.
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*
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* (description adapted from https://en.wikipedia.org/wiki/Koch_snowflake)
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* (for a more detailed explanation and an implementation in the Processing language, see
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* https://natureofcode.com/book/chapter-8-fractals/ #84-the-koch-curve-and-the-arraylist-technique).
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*/
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/*
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Doctests
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Test iterate-method
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> iterate([new Vector2(0, 0), new Vector2(1, 0)], 1)[0];
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{"x": 0, "y": 0}
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> iterate([new Vector2(0, 0), new Vector2(1, 0)], 1)[1];
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{"x": 1/3, "y": 0}
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> iterate([new Vector2(0, 0), new Vector2(1, 0)], 1)[2];
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{"x": 1/2, "y": Math.sin(Math.PI / 3) / 3}
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> iterate([new Vector2(0, 0), new Vector2(1, 0)], 1)[3];
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{"x": 2/3, "y": 0}
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> iterate([new Vector2(0, 0), new Vector2(1, 0)], 1)[4];
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{"x": 1, "y": 0}
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*/
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/** Class to handle the vector calculations. */
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class Vector2 {
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export class Vector2 {
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constructor (x, y) {
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this.x = x
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this.y = y
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@ -87,66 +73,15 @@ class Vector2 {
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}
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/**
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* Method to render the Koch snowflake to a canvas.
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* Go through the number of iterations determined by the argument "steps".
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*
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* @param canvasWidth The width of the canvas.
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* @param steps The number of iterations.
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* @returns The canvas of the rendered Koch snowflake.
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*/
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function getKochSnowflake (canvasWidth = 600, steps = 5) {
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if (canvasWidth <= 0) {
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throw new Error('canvasWidth should be greater than zero')
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}
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const offsetX = canvasWidth / 10.0
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const offsetY = canvasWidth / 3.7
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const vector1 = new Vector2(offsetX, offsetY)
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const vector2 =
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new Vector2(canvasWidth / 2, Math.sin(Math.PI / 3) * canvasWidth * 0.8 + offsetY)
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const vector3 = new Vector2(canvasWidth - offsetX, offsetY)
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const initialVectors = []
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initialVectors.push(vector1)
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initialVectors.push(vector2)
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initialVectors.push(vector3)
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initialVectors.push(vector1)
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const vectors = iterate(initialVectors, steps)
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return drawToCanvas(vectors, canvasWidth, canvasWidth)
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}
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/**
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* Utility-method to render the Koch snowflake to a canvas.
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*
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* @param vectors The vectors defining the edges to be rendered.
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* @param canvasWidth The width of the canvas.
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* @param canvasHeight The height of the canvas.
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* @returns The canvas of the rendered edges.
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*/
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function drawToCanvas (vectors, canvasWidth, canvasHeight) {
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const canvas = document.createElement('canvas')
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canvas.width = canvasWidth
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canvas.height = canvasHeight
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// Draw the edges
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const ctx = canvas.getContext('2d')
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ctx.beginPath()
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ctx.moveTo(vectors[0].x, vectors[0].y)
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for (let i = 1; i < vectors.length; i++) {
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ctx.lineTo(vectors[i].x, vectors[i].y)
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}
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ctx.stroke()
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return canvas
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}
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/**
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* Go through the number of iterations determined by the argument "steps". Be careful with high
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* values (above 5) since the time to calculate increases exponentially.
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* Be careful with high values (above 5) since the time to calculate increases exponentially.
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*
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* @param initialVectors The vectors composing the shape to which the algorithm is applied.
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* @param steps The number of iterations.
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* @returns The transformed vectors after the iteration-steps.
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*/
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function iterate (initialVectors, steps) {
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export function iterate (initialVectors, steps) {
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let vectors = initialVectors
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for (let i = 0; i < steps; i++) {
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vectors = iterationStep(vectors)
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@ -156,9 +91,10 @@ function iterate (initialVectors, steps) {
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}
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/**
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* Loops through each pair of adjacent vectors. Each line between two adjacent vectors is divided
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* into 4 segments by adding 3 additional vectors in-between the original two vectors. The vector
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* in the middle is constructed through a 60 degree rotation so it is bent outwards.
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* Loops through each pair of adjacent vectors.
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*
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* Each line between two adjacent vectors is divided into 4 segments by adding 3 additional vectors in-between the
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* original two vectors. The vector in the middle is constructed through a 60 degree rotation so it is bent outwards.
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*
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* @param vectors The vectors composing the shape to which the algorithm is applied.
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* @returns The transformed vectors after the iteration-step.
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@ -178,9 +114,3 @@ function iterationStep (vectors) {
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newVectors.push(vectors[vectors.length - 1])
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return newVectors
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}
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// plot the results if the script is executed in a browser with a window-object
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if (typeof window !== 'undefined') {
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const canvas = getKochSnowflake()
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document.body.append(canvas)
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}
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