Merge pull request #4 from MindfulMinun/next

1.3.0
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mindfulminun authored and GitHub committed 2023-08-02 22:52:18 -05:00
commit fb7c5964fe
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+13
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@@ -1,3 +1,16 @@
# 1.3.0
- iterable
- Add Prettify helper type
- structures
- Add BinaryHeap, Memo, and StateMachine
- Split into multiple files
- Matrix
- Matrix type now tracks its dimensions
- graph
- graph-solver
- Add Kruskal's algorithm for finding a minimum spanning tree.
# 1.2.0 # 1.2.0
- core - core
+1
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@@ -143,3 +143,4 @@ export function pinkyPromise<T>(): [
// the assignment to `p` // the assignment to `p`
return [p, resolve!, reject!] return [p, resolve!, reject!]
} }
+4 -1
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@@ -63,7 +63,10 @@ export function html(strings: TemplateStringsArray | string, ...exprs: unknown[]
} }
/** /**
* Creates a text node for use in the DOM. The text content is NOT escaped. * Creates a text node for use in the DOM.
* @remarks
* The text content is escaped using
* the browser's built-in HTML escaping via `document.createTextNode`.
* @author MindfulMinun * @author MindfulMinun
* @since 2022-06-04 * @since 2022-06-04
*/ */
+3 -1
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@@ -7,7 +7,9 @@ export type Repeated<
T, T,
N extends number, N extends number,
R extends readonly T[] = [], R extends readonly T[] = [],
> = R['length'] extends N ? R : Repeated<T, N, readonly [T, ...R]>; > = R['length'] extends N ? R : Repeated<T, N, readonly [T, ...R]>
export type Prettify<T> = { [K in keyof T]: T[K] } & {}
/** /**
* Creates an iterable that always yields the given value. * Creates an iterable that always yields the given value.
+7 -2
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@@ -2,6 +2,7 @@ import { g1, g2, g3 } from '../tools/graph/_graph-samples.ts'
import { GraphSolver } from '../tools/graph/graph-solver.ts' import { GraphSolver } from '../tools/graph/graph-solver.ts'
import { assertEquals } from "https://deno.land/std/testing/asserts.ts" import { assertEquals } from "https://deno.land/std/testing/asserts.ts"
import { Path } from "../tools/graph/graph.ts" import { Path } from "../tools/graph/graph.ts"
import { dedent } from "../core/string.ts"
// TODO: Add more tests! // TODO: Add more tests!
@@ -64,7 +65,11 @@ function assertPathsEqual<vData, eData>(
expectedV.forEach((v, i) => assertEquals(path?.vertices[i].id, v)) expectedV.forEach((v, i) => assertEquals(path?.vertices[i].id, v))
expectedE.forEach((e, i) => assertEquals(path?.edges[i].id, e)) expectedE.forEach((e, i) => assertEquals(path?.edges[i].id, e))
} catch (e) { } catch (_e) {
throw Error(`Paths are different! Expected: [${expectedV.join(' -> ')}]; Actual: [${path.vertices.map(v => v.id).join(' -> ')}]`) throw Error(dedent`
Paths are different!
Expected: [${expectedV.join(' -> ')}]
Actual: [${path.vertices.map(v => v.id).join(' -> ')}]
`)
} }
} }
+47
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@@ -0,0 +1,47 @@
import { range } from "../core/iterable.ts";
import { BinaryHeap, Queue, Stack } from "../tools/structures.ts"
import { assertEquals } from "https://deno.land/[email protected]/testing/asserts.ts"
Deno.test("Data structures - Stack", () => {
const stack = new Stack([1, 2, 3])
stack.push(4)
stack.push(5)
for (const i of range(5, 0)) {
assertEquals(stack.pop(), i)
}
assertEquals(stack.length, 0)
})
Deno.test("Data structures - Queue", () => {
const queue = new Queue([0, 1, 2, 3])
queue.push(4)
queue.push(5)
for (const i of range(6)) {
assertEquals(queue.pop(), i)
}
assertEquals(queue.length, 0)
})
Deno.test("Data structures - Binary Heap: Bubble up", () => {
const heap = new BinaryHeap<number>((a, b) => a - b)
heap.push(5)
heap.push(3)
assertEquals(heap.peek(), 3)
})
Deno.test("Data structures - Binary Heap", () => {
const heap = new BinaryHeap(
(a, b) => a - b,
[5, 3, 8, 1, 2, 6, 9, 4, 7]
)
let i = 1
for (const el of heap) {
assertEquals(el, i++)
}
assertEquals(i, 10)
})
+61 -6
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@@ -1,4 +1,4 @@
import { Graph, Vertex, VertexType, EdgeType, Path, PathType } from "./graph.ts" import { Graph, Vertex, VertexType, Edge, EdgeType, Path, PathType } from "./graph.ts"
import { Queue, Stack } from "../structures.ts" import { Queue, Stack } from "../structures.ts"
/** /**
@@ -43,7 +43,7 @@ export class GraphSolver<vData, eData> {
const path = backPaths.get(v)!.copy() const path = backPaths.get(v)!.copy()
path.addEdge(E) path.addEdge(E)
backPaths.set(w, path) backPaths.set(w, path)
queue.enqueue(w) queue.push(w)
} }
} }
} }
@@ -102,8 +102,8 @@ export class GraphSolver<vData, eData> {
const seenR = new Set<Vertex<vData, eData>>([right]) const seenR = new Set<Vertex<vData, eData>>([right])
while (qL.length && qR.length) { while (qL.length && qR.length) {
const l = qL.dequeue()! const l = qL.pop()!
const r = qR.dequeue()! const r = qR.pop()!
// The left side will traverse the graph normally, // The left side will traverse the graph normally,
// following the direction of the arrows in the edges // following the direction of the arrows in the edges
@@ -115,7 +115,7 @@ export class GraphSolver<vData, eData> {
const path = backL.get(l)!.copy() const path = backL.get(l)!.copy()
path.addEdge(E) path.addEdge(E)
backL.set(w, path) backL.set(w, path)
qL.enqueue(w) qL.push(w)
} }
} }
@@ -131,7 +131,7 @@ export class GraphSolver<vData, eData> {
const path = backR.get(r)!.copy() const path = backR.get(r)!.copy()
path.addEdge(E) path.addEdge(E)
backR.set(w, path) backR.set(w, path)
qR.enqueue(w) qR.push(w)
} }
} }
@@ -148,4 +148,59 @@ export class GraphSolver<vData, eData> {
} }
return null return null
} }
/**
* Sorts the edges by their weight ascending, then performs {@link kruskalPresorted | Kruskal's algorithm},
* an algorithm for determining a minimum-spanning forest of a graph.
*
* Kruskal's greedy algorithm determines a minimum-spanning forest of a weighted, *undirected* graph.
*
* If you only wish to sort the edges, use {@link sortEdgesByWeight} instead.
* @author MindfulMinun
* @since 2023-03-30
*/
kruskalWithSort() {
this.sortEdgesByWeight()
return this.kruskalPresorted()
}
/**
* Performs Kruskal's algorithm, assuming that the edges have been presorted.
* This algorithm returns a set of the edges that span the graph.
*
* Kruskal's greedy algorithm determines a minimum-spanning forest of a weighted, *undirected* graph.
*
* This method assumes that the edges have been sorted by their weight ascending, allowing it to run in `O(m)` time.
* If the edges have not been sorted, use {@link kruskalWithSort} instead.
* @author MindfulMinun
* @since 2023-03-30
*/
kruskalPresorted(edges?: Edge<vData, eData>[]) {
const forest = new Set<Edge<vData, eData>>()
/** Keeps track of the reachable vertices. Used to ensure that newly added edges do not create a cycle. */
const reach = new WeakSet<Vertex<vData, eData>>()
const ordered: Iterable<Edge<vData, eData>> = edges ?? this.G.edges.values()
for (const E of ordered) {
if (forest.has(E)) continue
if (reach.has(E.u) && reach.has(E.v)) continue
forest.add(E)
reach.add(E.u).add(E.v)
}
return forest
}
/**
* Sorts edges by their weight ascending. Useful for speeding up algorithms such as Kruskal's.
* This algorithm runs in `O(n log n)` time
* @author MindfulMinun
* @since 2023-03-30
*/
sortEdgesByWeight() {
const edges = Array.from(this.G.edges.values())
.sort((a, b) => this.G.weights(a) - this.G.weights(b))
.map(e => [e.id, e] as const)
this.G.edges = new Map(edges)
}
} }
+13 -9
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@@ -1,6 +1,6 @@
import * as Colors from "https://deno.land/[email protected]/fmt/colors.ts" import * as Colors from "https://deno.land/[email protected]/fmt/colors.ts"
type UUID = ReturnType<typeof crypto.randomUUID> type UUID = string
export type VertexType<G> = G extends Graph<infer T, infer V> ? Vertex<T, V> : never export type VertexType<G> = G extends Graph<infer T, infer V> ? Vertex<T, V> : never
export type EdgeType<G> = G extends Graph<infer T, infer V> ? Edge<T, V> : never export type EdgeType<G> = G extends Graph<infer T, infer V> ? Edge<T, V> : never
@@ -25,9 +25,9 @@ interface EdgeOpts {
*/ */
export class Graph<vData, eData> { export class Graph<vData, eData> {
/** A map of the vertices in the graph. To add a new vertex, please use the {@link Graph.createVertex} method instead. */ /** A map of the vertices in the graph. To add a new vertex, please use the {@link Graph.createVertex} method instead. */
readonly vertices: Map<UUID, Vertex<vData, eData>> vertices: Map<UUID, Vertex<vData, eData>>
/** A map of the edges in the graph. To add a new edge, please use the {@link Graph.createEdge} method instead. */ /** A map of the edges in the graph. To add a new edge, please use the {@link Graph.createEdge} method instead. */
readonly edges: Map<UUID, Edge<vData, eData>> edges: Map<UUID, Edge<vData, eData>>
/** /**
* Whether or not edges created in the graph are directed when the value is omitted. * Whether or not edges created in the graph are directed when the value is omitted.
* Note that edges created with the `directed` option will use that value instead. * Note that edges created with the `directed` option will use that value instead.
@@ -149,26 +149,30 @@ export class Graph<vData, eData> {
* @since 2022-07-26 * @since 2022-07-26
*/ */
export class Vertex<VertexData, EdgeData> { export class Vertex<vData, eData> {
/* The graph this vertex belongs to */ /* The graph this vertex belongs to */
graph: Graph<VertexData, EdgeData> graph: Graph<vData, eData>
/* The value stored in this vertex, up to you! */ /* The value stored in this vertex, up to you! */
data: VertexData data: vData
/* The unique identifier of this vertex */ /* The unique identifier of this vertex */
id: UUID id: UUID
/* The edges connected to this vertex */ /* The edges connected to this vertex */
adjacentEdges: Set<Edge<VertexData, EdgeData>> adjacentEdges: Set<Edge<vData, eData>>
constructor(parentGraph: Graph<VertexData, EdgeData>, id: UUID, data: VertexData) { constructor(parentGraph: Graph<vData, eData>, id: UUID, data: vData) {
this.graph = parentGraph this.graph = parentGraph
this.data = data this.data = data
this.id = id this.id = id
this.adjacentEdges = new Set() this.adjacentEdges = new Set()
} }
/**
* Remove this vertex from the graph. Edges connected to this vertex will also be removed.
* Callers should discard this vertex after calling this method.
*/
delete() { this.graph.deleteVertex(this) } delete() { this.graph.deleteVertex(this) }
toJSON(replacer: (this: Graph<VertexData, EdgeData>, data: VertexData) => unknown = data => data) { toJSON(replacer: (this: Graph<vData, eData>, data: vData) => unknown = data => data) {
return [this.id, replacer.call(this.graph, this.data)] return [this.id, replacer.call(this.graph, this.data)]
} }
+169 -88
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@@ -1,15 +1,22 @@
import { fill } from "../../core/iterable.ts" import { fill } from "../../core/iterable.ts"
import * as Colors from "https://deno.land/[email protected]/fmt/colors.ts" import * as Colors from "https://deno.land/[email protected]/fmt/colors.ts"
import { Memo } from "../structures.ts"
class Matrix {
const memodDeterminant = new Memo({
fn: (M: Matrix) => M.calculateDeterminant(),
hash: M => M.toString()
}).fn
export class Matrix<M extends number = number, N extends number = number> {
/** The number of rows in this matrix. */ /** The number of rows in this matrix. */
m: number m: M
/** The number of columns in this matrix. */ /** The number of columns in this matrix. */
n: number n: N
/** The values stored in this matrix, in row-major order. */ /** The values stored in this matrix, in row-major order. */
entries: number[] entries: number[]
constructor(m: number, n: number, entries: number[]) { constructor(m: M, n: N, entries: number[]) {
const expectedLength = m * n const expectedLength = m * n
if (entries.length !== expectedLength) { if (entries.length !== expectedLength) {
throw new Error(`Expected ${expectedLength} entries, got ${entries.length}`) throw new Error(`Expected ${expectedLength} entries, got ${entries.length}`)
@@ -19,28 +26,6 @@ class Matrix {
this.entries = entries this.entries = entries
} }
/** Performs naive matrix multiplication. */
rightMultiply(right: Matrix) {
if (this.n !== right.m) {
throw new Error(`Cannot multiply ${this.m}x${this.n} matrix by ${right.m}x${right.n} matrix.`)
}
const result = Matrix.null(this.m, right.n)
for (let i = 0; i < this.m; i++) {
for (let j = 0; j < right.n; j++) {
let sum = 0
for (let k = 0; k < this.n; k++) {
sum += this.get(i, k) * right.get(k, j)
}
result.set(i, j, sum)
}
}
return result
}
leftMultiply(left: Matrix) {
return left.rightMultiply(this)
}
set(row: number, col: number, value: number) { set(row: number, col: number, value: number) {
const offset = this.#calculateOffset(row, col) const offset = this.#calculateOffset(row, col)
this.entries[offset] = value this.entries[offset] = value
@@ -51,47 +36,69 @@ class Matrix {
return this.entries[offset] return this.entries[offset]
} }
toString() {
const strs = this.entries.map(e => e.toString())
const maxLen = Math.max(...strs.map(s => s.length))
const padded = strs.map(s => s.padStart(maxLen, ' '))
let out = ""
for (let i = 0; i < this.m; i++) {
if (i != 0) out += '\n'
out += Colors.gray(i === 0 ? '┌ ' : i === this.m - 1 ? '└ ' : '│ ')
// out += Colors.gray('│ ')
for (let j = 0; j < this.n; j++) {
const offset = this.#calculateOffset(i, j)
const value = this.entries[offset]
const txt = padded[offset]
out += (value == 0 ? Colors.gray(txt) : txt) + ' '
}
out += Colors.gray(i === 0 ? '┐ ' : i === this.m - 1 ? '┘ ' : '│ ')
// out += Colors.gray('│')
}
return out
}
[Symbol.for("Deno.customInspect")]() {
return this.toString()
}
#calculateOffset(row: number, col: number) {
if (!(0 <= row || row < this.m)) {
throw new Error(`Row ${row} is out of bounds for ${this.m}x${this.n} matrix.`)
}
if (!(0 <= col || col < this.n)) {
throw new Error(`Column ${col} is out of bounds for ${this.m}x${this.n} matrix.`)
}
return row * this.n + col
}
copy() { copy() {
return new Matrix(this.m, this.n, this.entries.slice()) return new Matrix(this.m, this.n, this.entries.slice())
} }
/**
* Performs naive matrix multiplication.
* @thorws If the dimensions of the matrices are incompatible.
*/
rightMultiply<P extends number, Q extends number>(right: Matrix<P, Q>) {
if (this.n as number !== right.m as number) {
throw new Error(`Cannot multiply ${this.m}x${this.n} matrix by ${right.m}x${right.n} matrix.`)
}
const result = Matrix.null(this.m, right.n)
for (let i = 0; i < this.m; i++) {
for (let j = 0; j < right.n; j++) {
let sum = 0
for (let k = 0; k < this.n; k++) {
sum += this.get(i, k) * right.get(k, j)
}
result.set(i, j, sum)
}
}
return result as N & P extends never ? never : Matrix<M, Q>
}
leftMultiply<P extends number, Q extends number>(left: Matrix<P, Q>): Q & M extends never ? never : Matrix<P, N> {
return left.rightMultiply(this)
}
calculateDeterminant<S extends N & M>(): S extends never ? number : number {
this.#assertSquare()
const n = this.m
const [a, b, c, d] = this.entries
if (n === 1) return a
if (n === 2) return a * d - b * c
// Otherwise, use Laplace expansion.
let total = 0
for (let i = 0; i < n; i++) {
// Ignore the first row and the ith column.
const submatrix = this.laplaceExpansion(0, i)
const determinant = memodDeterminant(submatrix)
const sign = i % 2 === 0 ? 1 : -1
total += sign * this.get(0, i) * determinant
}
return total
}
/**
* Returns the submatrix obtained by removing the given row and column.
*/
laplaceExpansion(row: number, col: number) {
const matrix = Matrix.null(this.m - 1, this.n - 1)
matrix.entries = this.entries.filter((_, i) => {
const r = Math.floor(i / this.n)
const c = i % this.n
return r !== row && c !== col
})
return matrix
}
/** /**
* Performs Gaussian elimination on this matrix, transforming it into an upper triangular matrix. * Performs Gaussian elimination on this matrix, transforming it into an upper triangular matrix.
* Note that this method does NOT mutate the original matrix, instead returning a new one. * Note that this method does NOT mutate the original matrix, instead returning a new one.
@@ -101,8 +108,7 @@ class Matrix {
*/ */
toUpperTriangular() { toUpperTriangular() {
const A = this.copy() const A = this.copy()
const m = A.m const { m, n } = A
const n = A.n
for (let i = 0; i < m; i++) { for (let i = 0; i < m; i++) {
// Find the pivot row. // Find the pivot row.
let pivotRow = i let pivotRow = i
@@ -132,46 +138,121 @@ class Matrix {
} }
/** /**
* Creates a new matrix with the given dimensions and entries. * Returns a submatrix of this matrix.
* @param row The row of the top-left corner of the submatrix.
* @param col The column of the top-left corner of the submatrix.
* @param m The number of rows in the submatrix.
* @param n The number of columns in the submatrix.
*/
submatrix<P extends number, Q extends number>(row: number, col: number, p: P, q: Q): Matrix<P, Q> {
const submatrix = Matrix.null(p, q)
for (let i = 0; i < p; i++) {
for (let j = 0; j < q; j++) {
submatrix.set(i, j, this.get(row + i, col + j))
}
}
return submatrix
}
#calculateOffset(row: number, col: number) {
if (!(0 <= row || row < this.m)) {
throw new Error(`Row ${row} is out of bounds for ${this.m}x${this.n} matrix.`)
}
if (!(0 <= col || col < this.n)) {
throw new Error(`Column ${col} is out of bounds for ${this.m}x${this.n} matrix.`)
}
return row * this.n + col
}
#assertSquare<S extends N & M>(): asserts this is Matrix<S, S> {
const { m, n } = this as Matrix<M, number>
if (m !== n) {
throw new Error(`Expected square matrix, got ${m}x${n} matrix.`)
}
}
toString() {
let out = ''
out += 'Matrix<' + this.m + ', ' + this.n + '>['
out += this.entries.map(e => e.toString()).join(', ')
out += ']'
return out
}
[Symbol.for("Deno.customInspect")]() {
const strs = this.entries.map(e => e.toString())
const maxLengths = Array.from(fill(0, this.n))
// Find the maximum length of the strings in each column.
for (let i = 0; i < this.m; i++) {
for (let j = 0; j < this.n; j++) {
const offset = this.#calculateOffset(i, j)
maxLengths[j] = Math.max(maxLengths[j], strs[offset].length)
}
}
// Pad each string to the maximum length.
const padded = strs.map((s, i) => s.padStart(maxLengths[i % this.n], ' '))
// Build the string.
let out = ""
for (let i = 0; i < this.m; i++) {
if (i != 0) out += '\n'
out += Colors.gray(i === 0 ? '┌ ' : i === this.m - 1 ? '└ ' : '│ ')
for (let j = 0; j < this.n; j++) {
const offset = this.#calculateOffset(i, j)
const value = this.entries[offset]
const txt = padded[offset]
out += (value == 0 ? Colors.gray(txt) : txt) + ' '
}
out += Colors.gray(i === 0 ? '┐ ' : i === this.m - 1 ? '┘ ' : '│ ')
}
return out
}
/**
* Creates a new matrix with the given numbers and entries.
* All entries are initialized to 0. * All entries are initialized to 0.
*/ */
static null(m: number, n: number) { static null<M extends number, N extends number>(m: M, n: N) {
const zeroes = Array.from(fill(0, m * n)) const zeroes = Array.from(fill(0, m * n))
return new Matrix(m, n, zeroes) return new Matrix(m, n, zeroes)
} }
/** /**
* Creates a square identity matrix with the given dimension. * Creates a square identity matrix with the given number.
* An identity matrix is a square matrix with 1s on the diagonal and 0s everywhere else. * An identity matrix is a square matrix with 1s on the diagonal and 0s everywhere else.
*/ */
static identity(n: number) { static identity<N extends number>(n: N): Matrix<N, N> {
const I = Matrix.null(n, n) const I = Matrix.null(n, n)
for (let i = 0; i < n; i++) { for (let i = 0; i < n; i++) {
I.set(i, i, 1) I.set(i, i, 1)
} }
return I return I
} }
/**
* Dr. Strang's favorite matrix.
* Returns a tridiagonal matrix with 2s on the diagonal and -1s on the sub- and super-diagonals.
*/
static strang<N extends number>(n: N): Matrix<N, N> {
const S = Matrix.null(n, n)
for (let i = 0; i < n; i++) {
S.set(i, i, 2)
if (i > 0) S.set(i, i - 1, -1)
if (i < n - 1) S.set(i, i + 1, -1)
}
return S
}
} }
if (import.meta.main) { if (import.meta.main) {
// const A = new Matrix(3, 3, [ const A = Matrix.strang(15)
// 2, -1, 0,
// -1, 2, -1, console.time('calculateDeterminant')
// 0, -3, 4 console.log(A.calculateDeterminant())
// ]) console.timeEnd('calculateDeterminant')
const A = new Matrix(4, 4, [
16, 2, 3, 13,
5 , 11, 10, 8,
9 , 7, 6, 12,
4 , 14, 15, 1,
])
const x = new Matrix(3, 1, [0, 0, 1])
// const A = Matrix.identity(10)
console.log(A)
console.log(A.toUpperTriangular())
// console.log(x)
// const b = A.rightMultiply(x)
// console.log(b)
} }
+3 -88
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@@ -1,89 +1,4 @@
/** console.error("Hey there, past me! Please don't import `structures.ts`, instead import the specific structure you need.")
* Data structure allowing for the insertion and removal of
* elements in a LIFO manner in `O(1)` time.
* @author MindfulMinun
* @since 2022-10-22
*/
export class Stack<T> implements Iterable<T> {
#elements: Record<number, T>
#head: number
constructor(initials?: Iterable<T>) { export * from './structures/Queue.ts'
this.#elements = {} export * from './structures/Stack.ts'
this.#head = 0
if (!initials) return
for (const el of initials) this.push(el)
}
/** Add an element to the stack */
push(element: T): void {
this.#elements[this.#head++] = element
}
/** Remove an element from the stack and return it. */
pop(): T | undefined {
if (this.length === 0) return undefined
const el = this.#elements[--this.#head]
delete this.#elements[this.#head]
return el
}
/** Preview the topmost element of the stack without removing it. */
peek(): T | undefined {
if (this.length === 0) return undefined
return this.#elements[this.#head - 1]
}
/** The number of elements remaining in the stack */
get length() { return this.#head }
*[Symbol.iterator]() {
while (this.length !== 0) yield this.pop()!
}
}
/**
* Data structure allowing for the insertion and removal of
* elements in a FIFO manner in `O(1)` time.
* @author MindfulMinun
* @since 2022-10-22
*/
export class Queue<T> implements Iterable<T> {
#elements: Record<number, T>
#head: number
#tail: number
constructor(initials?: Iterable<T>) {
this.#elements = {}
this.#head = 0
this.#tail = 0
if (!initials) return
for (const el of initials) this.enqueue(el)
}
/** Add an element to the queue */
enqueue(element: T): void {
this.#elements[this.#tail++] = element
}
/** Remove an element from the queue and return it. */
dequeue(): T | undefined {
if (this.length === 0) return undefined
const el = this.#elements[this.#head]
delete this.#elements[this.#head++]
return el
}
/** Preview the next element in the queue without removing it. */
peek(): T | undefined {
if (this.length === 0) return undefined
return this.#elements[this.#head]
}
/** The number of elements remaining in the queue */
get length() { return this.#tail - this.#head }
*[Symbol.iterator]() {
while (this.length !== 0) yield this.dequeue()!
}
}
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import { swap } from '../../core/iterable.ts'
/**
* A minimum binary heap.
*
* A binary heap always satisfies the following properties:
* - The root node is the minimum element in the heap.
* - The children of a node are always greater than or equal to that node.
*
* @author MindfulMinun
* @since 2023-03-10
*/
export class BinaryHeap<T> implements Iterable<T> {
#comparator: (a: T, b: T) => number
#elements: T[]
constructor(
comparator: (a: T, b: T) => number,
initials: Iterable<T> = []
) {
this.#comparator = comparator
this.#elements = []
for (const el of initials) this.push(el)
}
*[Symbol.iterator]() {
while (this.length !== 0) yield this.pop()!
}
/**
* Insert an element into the heap.
*/
push(element: T): void {
this.#elements.push(element)
this.#bubbleUp(this.length - 1)
}
/**
* Remove the minimum element from the heap and return it.
*/
pop(): T | undefined {
if (this.length === 0) return undefined
// Swap the last element with the root
swap(this.#elements, 0, this.length - 1)
// Remove the last element
const el = this.#elements.pop()
// Bubble the new root down
this.#bubbleDown(0)
return el
}
/** Preview the minimum element in the heap without removing it. */
peek(): T | undefined {
if (this.length === 0) return undefined
return this.#elements[0]
}
/** Bubble an element up the heap until it is in the correct position. */
#bubbleUp(index: number): void {
// If the element is the root, it is in the correct position
if (index === 0) return
// Bubble the element up the heap until it is in the correct position
let current = index
let parent = BinaryHeap.parent(current)
const val = this.#elements[current]
// While the element is less than its parent, swap it with its parent
while (0 < current && this.#comparator(val, this.#elements[parent]) < 0) {
this.#elements[current] = this.#elements[parent]
current = parent
parent = BinaryHeap.parent(current)
}
this.#elements[current] = val
}
/** Bubble an element down the heap until it is in the correct position. */
#bubbleDown(index: number): void {
// If the element is a leaf, it is in the correct position
if (index >= this.length) return
// Bubble the element down the heap until it is in the correct position
let current = index
let [left, right] = BinaryHeap.leftRight(current)
const val = this.#elements[current]
// While the element is greater than its children, swap it with its smallest child
while (left < this.length) {
// Find the smallest child
let smallest = left
if (right < this.length && 0 < this.#comparator(this.#elements[left], this.#elements[right])) {
smallest = right
}
// If the element is smaller than its smallest child, it is in the correct position
if (this.#comparator(val, this.#elements[smallest]) <= 0) break
// Swap the element with its smallest child
this.#elements[current] = this.#elements[smallest]
current = smallest
;[left, right] = BinaryHeap.leftRight(current)
}
this.#elements[current] = val
}
private static leftRight(index: number) {
return [index * 2 + 1, index * 2 + 2]
}
private static parent(index: number) {
return Math.floor((index - 1) / 2)
}
/** The number of elements in the heap */
get length() { return this.#elements.length }
}
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/**
* A cache-like object that can be used with {@link Memo}. This interface is
* compatible with `Map`, but it can also be used to implement other caching
* strategies, such as an LRU cache.
*/
export interface Cachelike<T> {
get(key: string): T | undefined
set(key: string, value: T): void
has(key: string): boolean
}
export interface MemoOpts<A extends unknown[], R extends unknown> {
fn: (...args: A) => R
hash?: (...args: A) => string
cache?: Cachelike<R>
}
/**
* Converts a function into a memo.
*
* A memo is a function that caches its results, allowing for faster
* computation of the same function with the same arguments.
*
* The memo can be configured with a custom hash function and cache.
* By default, the hash function is `JSON.stringify` and the cache is a `Map`.
*
* Use the memo by calling `memo.fn(...args)` on the memo object.
*
*
* @author MindfulMinun
* @since 2023-06-16
*/
export class Memo<A extends unknown[], R extends unknown> {
#ogfn: (...args: A) => R
hash: (...args: A) => string
cache: Cachelike<R>
hits: number
misses: number
constructor(fn: (...args: A) => R)
constructor(opts: MemoOpts<A, R>)
constructor(x: MemoOpts<A, R> | ((...args: A) => R)) {
this.#ogfn = () => { throw new Error('Memo not initialized') }
this.hash = (...args) => JSON.stringify(args)
this.cache = new Map<string, R>()
this.hits = 0
this.misses = 0
if (typeof x === 'function') {
this.#ogfn = x
} else {
this.#ogfn = x.fn
this.hash = x.hash ?? this.hash
this.cache = x.cache ?? this.cache
}
}
#memoHandler(...args: A): R {
const key = this.hash.apply(this, args)
if (this.cache.has(key)) {
this.hits++
return this.cache.get(key)!
}
const result = this.#ogfn.apply(this, args)
this.cache.set(key, result)
this.misses++
return result
}
get ratio() {
return this.hits / (this.hits + this.misses)
}
get fn() {
return this.#memoHandler.bind(this)
}
}
if (import.meta.main) {
const fib = new Memo({
fn: (n: number): number => {
switch (n) {
case 0: case 1: return n
default: return fib(n - 1) + fib(n - 2)
}
}
}).fn
console.log(fib(1000))
}
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/**
* Data structure allowing for the insertion and removal of
* elements in a FIFO manner in `O(1)` time.
* @author MindfulMinun
* @since 2022-10-22
*/
export class Queue<T> implements Iterable<T> {
#elements: Record<number, T>
#head: number
#tail: number
constructor(initials?: Iterable<T>) {
this.#elements = {}
this.#head = 0
this.#tail = 0
if (!initials) return
for (const el of initials) this.push(el)
}
/** Add an element to the queue */
push(element: T): void {
this.#elements[this.#tail++] = element
}
/** Remove an element from the queue and return it. */
pop(): T | undefined {
if (this.length === 0) return undefined
const el = this.#elements[this.#head]
delete this.#elements[this.#head++]
return el
}
/** Preview the next element in the queue without removing it. */
peek(): T | undefined {
if (this.length === 0) return undefined
return this.#elements[this.#head]
}
/** The number of elements remaining in the queue */
get length() { return this.#tail - this.#head }
*[Symbol.iterator]() {
while (this.length !== 0) yield this.pop()!
}
}
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/**
* Data structure allowing for the insertion and removal of
* elements in a LIFO manner in `O(1)` time.
* @author MindfulMinun
* @since 2022-10-22
*/
export class Stack<T> implements Iterable<T> {
#elements: Record<number, T>
#head: number
constructor(initials?: Iterable<T>) {
this.#elements = {}
this.#head = 0
if (!initials) return
for (const el of initials) this.push(el)
}
/** Add an element to the stack */
push(element: T): void {
this.#elements[this.#head++] = element
}
/** Remove an element from the stack and return it. */
pop(): T | undefined {
if (this.length === 0) return undefined
const el = this.#elements[--this.#head]
delete this.#elements[this.#head]
return el
}
/** Preview the topmost element of the stack without removing it. */
peek(): T | undefined {
if (this.length === 0) return undefined
return this.#elements[this.#head - 1]
}
/** The number of elements remaining in the stack */
get length() { return this.#head }
*[Symbol.iterator]() {
while (this.length !== 0) yield this.pop()!
}
}
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type Transition<State extends string | number | symbol, InputAlphabet, Context> = (
this: StateMachine<State, InputAlphabet, Context>,
input: InputAlphabet,
machine: StateMachine<State, InputAlphabet, Context>
) => void
class StateMachine<State extends string | number | symbol = 0, InputAlphabet = string, Context = null> {
#initialState: State
#transitionTable: Partial<Record<State, Transition<State, InputAlphabet, Context>>>
#acceptStates: Set<State>
#contextFactory: () => Context
currentState!: State
context!: Context
constructor(
initialState: State,
transitionTable: Partial<Record<State, Transition<State, InputAlphabet, Context>>>,
acceptStates: Iterable<State> = [],
contextFactory: () => Context = () => (null as Context)
) {
this.#initialState = initialState
this.#transitionTable = transitionTable
this.#acceptStates = new Set(acceptStates)
this.#contextFactory = contextFactory
this.reset()
}
runWithInput(elements: Iterable<InputAlphabet>) {
for (const element of elements) {
this.transitionWith(element)
}
return this
}
transitionWith(input: InputAlphabet) {
const fn = this.#transitionTable[this.currentState]
if (!fn) throw new Error(`No transition function for state ${String(this.currentState)}`)
fn.call(this, input, this)
return this
}
goto(state: State) {
this.currentState = state
return this
}
accepts(state = this.currentState) { return this.#acceptStates.has(state) }
reset() {
this.currentState = this.#initialState
this.context = this.#contextFactory()
}
}
if (import.meta.main) {
// S1: initial state, accept.
// 0 -> S2
// 1 -> S1
// S2: reject.
// 0 -> S1
// 1 -> S2
const enum MyState {
P = 'P',
R = 'R',
N = 'N',
D = 'D',
L = 'L'
}
const enum Direction {
UP = 'UP',
DOWN = 'DOWN',
}
const M = new StateMachine<MyState, Direction>(MyState.P, {
[MyState.P]: (input, m) => input === Direction.UP ? m.goto(MyState.P) : m.goto(MyState.R),
[MyState.R]: (input, m) => input === Direction.UP ? m.goto(MyState.P) : m.goto(MyState.N),
[MyState.N]: (input, m) => input === Direction.UP ? m.goto(MyState.R) : m.goto(MyState.D),
[MyState.D]: (input, m) => input === Direction.UP ? m.goto(MyState.N) : m.goto(MyState.L),
[MyState.L]: (input, m) => input === Direction.UP ? m.goto(MyState.D) : m.goto(MyState.L),
}, [MyState.P])
// const M = new StateMachine<MyState, '1' | '0'>(MyState.even, {
// [MyState.even]: (input, m) => input === '1' ? m.goto(MyState.even) : m.goto(MyState.odd),
// [MyState.odd ]: (input, m) => input === '0' ? m.goto(MyState.even) : m.goto(MyState.odd),
// }, [MyState.even])
M.runWithInput([
Direction.DOWN,
Direction.DOWN,
Direction.DOWN,
])
console.log(M)
console.log(M.accepts())
}