mirror of
https://github.com/TheAlgorithms/JavaScript.git
synced 2026-03-13 15:21:15 +08:00
feat: Test running overhaul, switch to Prettier & reformat everything (#1407)
* chore: Switch to Node 20 + Vitest * chore: migrate to vitest mock functions * chore: code style (switch to prettier) * test: re-enable long-running test Seems the switch to Node 20 and Vitest has vastly improved the code's and / or the test's runtime! see #1193 * chore: code style * chore: fix failing tests * Updated Documentation in README.md * Update contribution guidelines to state usage of Prettier * fix: set prettier printWidth back to 80 * chore: apply updated code style automatically * fix: set prettier line endings to lf again * chore: apply updated code style automatically --------- Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com> Co-authored-by: Lars Müller <34514239+appgurueu@users.noreply.github.com>
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@@ -11,7 +11,7 @@ The Game of Life is a cellular automaton devised by the British mathematician Jo
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/**
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* Generates the next generation for a given state of Conway's Game of Life.
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*/
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export function newGeneration (cells) {
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export function newGeneration(cells) {
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const nextGeneration = []
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for (let i = 0; i < cells.length; i++) {
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const nextGenerationRow = []
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@@ -20,12 +20,14 @@ export function newGeneration (cells) {
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let neighbourCount = 0
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if (i > 0 && j > 0) neighbourCount += cells[i - 1][j - 1]
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if (i > 0) neighbourCount += cells[i - 1][j]
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if (i > 0 && j < cells[i].length - 1) neighbourCount += cells[i - 1][j + 1]
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if (i > 0 && j < cells[i].length - 1)
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neighbourCount += cells[i - 1][j + 1]
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if (j > 0) neighbourCount += cells[i][j - 1]
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if (j < cells[i].length - 1) neighbourCount += cells[i][j + 1]
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if (i < cells.length - 1 && j > 0) neighbourCount += cells[i + 1][j - 1]
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if (i < cells.length - 1) neighbourCount += cells[i + 1][j]
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if (i < cells.length - 1 && j < cells[i].length - 1) neighbourCount += cells[i + 1][j + 1]
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if (i < cells.length - 1 && j < cells[i].length - 1)
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neighbourCount += cells[i + 1][j + 1]
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// Decide whether the cell is alive or dead
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const alive = cells[i][j] === 1
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@@ -64,20 +64,26 @@
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* @param {number} rule The current rule of the Elementary Cellular Automata simulation. Must be an integer between 0 and 255 inclusive
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* @returns {(0 | 1)[]} The next generation according to the inputted rule
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*/
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export function getNextElementaryGeneration (generation, rule) {
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export function getNextElementaryGeneration(generation, rule) {
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const NUM_ELEMENTARY_NEIGHBORHOOD_STATES = 8
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const MIN_RULE = 0
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const MAX_RULE = 255
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if (!Number.isInteger(rule)) {
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throw new Error(`Rule must be an integer between the values 0 and 255 (got ${rule})`)
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throw new Error(
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`Rule must be an integer between the values 0 and 255 (got ${rule})`
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)
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}
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if (rule < MIN_RULE || rule > MAX_RULE) {
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throw new RangeError(`Rule must be an integer between the values 0 and 255 (got ${rule})`)
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throw new RangeError(
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`Rule must be an integer between the values 0 and 255 (got ${rule})`
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)
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}
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const binaryRule = rule.toString(2).padStart(NUM_ELEMENTARY_NEIGHBORHOOD_STATES, '0')
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const ruleData = binaryRule.split('').map(bit => Number.parseInt(bit)) // note that ruleData[0] represents "all alive" while ruleData[7] represents "all dead"
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const binaryRule = rule
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.toString(2)
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.padStart(NUM_ELEMENTARY_NEIGHBORHOOD_STATES, '0')
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const ruleData = binaryRule.split('').map((bit) => Number.parseInt(bit)) // note that ruleData[0] represents "all alive" while ruleData[7] represents "all dead"
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const output = new Array(generation.length)
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const LEFT_DEAD = 4 // 100 in binary
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const MIDDLE_DEAD = 2 // 010 in binary
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@@ -2,7 +2,16 @@ import { newGeneration } from '../ConwaysGameOfLife'
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describe('newGeneration', () => {
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it('should produce the next generation according to the rules', () => {
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expect(newGeneration([[0, 1, 0], [0, 1, 0], [0, 1, 0]]))
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.toEqual([[0, 0, 0], [1, 1, 1], [0, 0, 0]])
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expect(
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newGeneration([
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[0, 1, 0],
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[0, 1, 0],
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[0, 1, 0]
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])
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).toEqual([
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[0, 0, 0],
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[1, 1, 1],
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[0, 0, 0]
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])
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})
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})
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@@ -3,91 +3,137 @@ import { getNextElementaryGeneration } from '../Elementary'
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describe('Elementary Cellular Automata', () => {
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describe('Rule Errors', () => {
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it('Correct', () => {
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expect(() => getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 128)).not.toThrow()
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expect(() =>
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getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 128)
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).not.toThrow()
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})
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it('Less than 0', () => {
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expect(() => getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], -1)).toThrow()
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expect(() =>
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getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], -1)
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).toThrow()
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})
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it('Greater than 255', () => {
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expect(() => getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 256)).toThrow()
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expect(() =>
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getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 256)
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).toThrow()
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})
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it('Decimal', () => {
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expect(() => getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 100.4)).toThrow()
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expect(() =>
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getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 100.4)
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).toThrow()
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})
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})
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describe('Rule 54 Iterations', () => {
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it('Generation 1', () => {
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expect(getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 54)).toEqual([0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0])
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expect(
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getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 54)
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).toEqual([0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0])
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})
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it('Generation 2', () => {
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expect(getNextElementaryGeneration([0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0], 54)).toEqual([0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0])
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expect(
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getNextElementaryGeneration([0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0], 54)
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).toEqual([0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0])
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})
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it('Generation 3', () => {
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expect(getNextElementaryGeneration([0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0], 54)).toEqual([0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0])
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expect(
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getNextElementaryGeneration([0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0], 54)
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).toEqual([0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0])
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})
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it('Generation 4', () => {
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expect(getNextElementaryGeneration([0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0], 54)).toEqual([0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0])
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expect(
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getNextElementaryGeneration([0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0], 54)
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).toEqual([0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0])
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})
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})
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describe('Rule 222 Iterations', () => {
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it('Generation 1', () => {
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expect(getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 222)).toEqual([0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0])
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expect(
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getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 222)
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).toEqual([0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0])
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})
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it('Generation 2', () => {
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expect(getNextElementaryGeneration([0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0], 222)).toEqual([0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0])
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expect(
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getNextElementaryGeneration([0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0], 222)
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).toEqual([0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0])
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})
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it('Generation 3', () => {
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expect(getNextElementaryGeneration([0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0], 222)).toEqual([0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0])
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expect(
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getNextElementaryGeneration([0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0], 222)
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).toEqual([0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0])
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})
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it('Generation 4', () => {
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expect(getNextElementaryGeneration([0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0], 222)).toEqual([0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0])
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expect(
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getNextElementaryGeneration([0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0], 222)
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).toEqual([0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0])
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})
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})
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describe('Rule 60 Iterations', () => {
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it('Generation 1', () => {
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expect(getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 60)).toEqual([0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0])
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expect(
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getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 60)
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).toEqual([0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0])
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})
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it('Generation 2', () => {
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expect(getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0], 60)).toEqual([0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0])
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expect(
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getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0], 60)
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).toEqual([0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0])
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})
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it('Generation 3', () => {
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expect(getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0], 60)).toEqual([0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0])
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expect(
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getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0], 60)
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).toEqual([0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0])
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})
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it('Generation 4', () => {
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expect(getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0], 60)).toEqual([0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0])
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expect(
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getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0], 60)
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).toEqual([0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0])
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})
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})
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describe('Rule 90 Iterations', () => {
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it('Generation 1', () => {
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expect(getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 90)).toEqual([0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0])
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expect(
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getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 90)
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).toEqual([0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0])
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})
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it('Generation 2', () => {
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expect(getNextElementaryGeneration([0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0], 90)).toEqual([0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0])
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expect(
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getNextElementaryGeneration([0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0], 90)
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).toEqual([0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0])
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})
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it('Generation 3', () => {
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expect(getNextElementaryGeneration([0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0], 90)).toEqual([0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0])
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expect(
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getNextElementaryGeneration([0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0], 90)
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).toEqual([0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0])
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})
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it('Generation 4', () => {
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expect(getNextElementaryGeneration([0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0], 90)).toEqual([0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0])
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expect(
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getNextElementaryGeneration([0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0], 90)
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).toEqual([0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0])
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})
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})
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describe('Rule 30 Iterations', () => {
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it('Generation 1', () => {
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expect(getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 30)).toEqual([0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0])
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expect(
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getNextElementaryGeneration([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 30)
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).toEqual([0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0])
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})
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it('Generation 2', () => {
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expect(getNextElementaryGeneration([0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0], 30)).toEqual([0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0])
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expect(
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getNextElementaryGeneration([0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0], 30)
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).toEqual([0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0])
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})
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it('Generation 3', () => {
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expect(getNextElementaryGeneration([0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0], 30)).toEqual([0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0])
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expect(
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getNextElementaryGeneration([0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0], 30)
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).toEqual([0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0])
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})
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})
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})
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