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https://github.com/bitburner-official/bitburner-src.git
synced 2024-11-10 01:33:54 +01:00
CCT: Minor simplification of 'Shortest Path' solver (#1288)
BFS shouldn't need some checks. Also allows deletion of a helper file used by this function only.
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@ -1,5 +1,4 @@
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import { getRandomIntInclusive } from "../utils/helpers/getRandomIntInclusive";
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import { getRandomIntInclusive } from "../utils/helpers/getRandomIntInclusive";
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import { MinHeap } from "../utils/Heap";
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import { comprGenChar, comprLZGenerate, comprLZEncode, comprLZDecode } from "../utils/CompressionContracts";
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import { comprGenChar, comprLZGenerate, comprLZEncode, comprLZDecode } from "../utils/CompressionContracts";
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import { HammingEncode, HammingDecode, HammingEncodeProperly } from "../utils/HammingCodeTools";
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import { HammingEncode, HammingDecode, HammingEncodeProperly } from "../utils/HammingCodeTools";
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@ -994,7 +993,7 @@ export const codingContractTypesMetadata: ICodingContractTypeMetadata[] = [
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const distance: [number][] = new Array(height);
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const distance: [number][] = new Array(height);
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//const prev: [[number, number] | undefined][] = new Array(height);
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//const prev: [[number, number] | undefined][] = new Array(height);
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const queue = new MinHeap<[number, number]>();
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const queue: [number, number][] = [];
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for (let y = 0; y < height; y++) {
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for (let y = 0; y < height; y++) {
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distance[y] = new Array(width).fill(Infinity) as [number];
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distance[y] = new Array(width).fill(Infinity) as [number];
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@ -1015,21 +1014,15 @@ export const codingContractTypesMetadata: ICodingContractTypeMetadata[] = [
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// Prepare starting point
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// Prepare starting point
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distance[0][0] = 0;
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distance[0][0] = 0;
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queue.push([0, 0], 0);
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queue.push([0, 0]);
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// Take next-nearest position and expand potential paths from there
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// Take next-nearest position and expand potential paths from there
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while (queue.size > 0) {
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while (queue.length > 0) {
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const [y, x] = queue.pop() as [number, number];
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const [y, x] = queue.shift() as [number, number];
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for (const [yN, xN] of neighbors(y, x)) {
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for (const [yN, xN] of neighbors(y, x)) {
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const d = distance[y][x] + 1;
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if (distance[yN][xN] == Infinity) {
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if (d < distance[yN][xN]) {
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queue.push([yN, xN]);
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if (distance[yN][xN] == Infinity)
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distance[yN][xN] = distance[y][x] + 1;
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// Not reached previously
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queue.push([yN, xN], d);
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// Found a shorter path
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else queue.changeWeight(([yQ, xQ]) => yQ == yN && xQ == xN, d);
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//prev[yN][xN] = [y, x];
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distance[yN][xN] = d;
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}
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}
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}
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}
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}
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}
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@ -1,133 +0,0 @@
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/** Binary heap. */
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abstract class BinHeap<T> {
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/**
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* Heap data array consisting of [weight, payload] pairs, arranged by weight
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* to satisfy heap condition.
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*
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* Encodes the binary tree by storing tree root at index 0 and
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* left child of element i at `i * 2 + 1` and
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* right child of element i at `i * 2 + 2`.
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*/
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protected data: [number, T][];
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constructor() {
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this.data = [];
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}
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/** Get number of elements in the heap. */
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public get size(): number {
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return this.data.length;
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}
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/** Add a new element to the heap. */
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public push(value: T, weight: number): void {
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const i = this.data.length;
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this.data[i] = [weight, value];
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this.heapifyUp(i);
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}
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/** Get the value of the root-most element of the heap, without changing the heap. */
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public peek(): T | undefined {
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if (this.data.length == 0) return undefined;
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return this.data[0][1];
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}
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/** Remove the root-most element of the heap and return the removed element's value. */
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public pop(): T | undefined {
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if (this.data.length == 0) return undefined;
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const value = this.data[0][1];
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this.data[0] = this.data[this.data.length - 1];
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this.data.length = this.data.length - 1;
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this.heapifyDown(0);
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return value;
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}
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/** Change the weight of an element in the heap. */
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public changeWeight(predicate: (value: T) => boolean, weight: number): void {
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// Find first element with matching value, if any
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const i = this.data.findIndex((e) => predicate(e[1]));
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if (i == -1) return;
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// Update that element's weight
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this.data[i][0] = weight;
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// And re-heapify if needed
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const p = Math.floor((i - 1) / 2);
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if (!this.heapOrderABeforeB(this.data[p][0], this.data[i][0]))
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// Needs to shift root-wards?
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this.heapifyUp(i);
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// Try shifting deeper
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else this.heapifyDown(i);
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}
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/** Restore heap condition, starting at index i and traveling towards root. */
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protected heapifyUp(i: number): void {
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// Swap the new element up towards root until it reaches root position or
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// settles under under a suitable parent
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while (i > 0) {
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const p = Math.floor((i - 1) / 2);
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// Reached heap-ordered state already?
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if (this.heapOrderABeforeB(this.data[p][0], this.data[i][0])) break;
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// Swap
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const tmp = this.data[p];
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this.data[p] = this.data[i];
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this.data[i] = tmp;
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// And repeat at parent index
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i = p;
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}
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}
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/** Restore heap condition, starting at index i and traveling away from root. */
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protected heapifyDown(i: number): void {
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// Swap the shifted element down in the heap until it either reaches the
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// bottom layer or is in correct order relative to it's children
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while (i < this.data.length) {
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const l = i * 2 + 1;
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const r = i * 2 + 2;
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let toSwap = i;
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// Find which one of element i and it's children should be closest to root
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if (l < this.data.length && this.heapOrderABeforeB(this.data[l][0], this.data[toSwap][0])) toSwap = l;
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if (r < this.data.length && this.heapOrderABeforeB(this.data[r][0], this.data[toSwap][0])) toSwap = r;
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// Already in order?
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if (i == toSwap) break;
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// Not in order. Swap child that should be closest to root up to 'i' and repeat
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const tmp = this.data[toSwap];
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this.data[toSwap] = this.data[i];
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this.data[i] = tmp;
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i = toSwap;
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}
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}
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/**
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* Should element with weight `weightA` be closer to root than element with
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* weight `weightB`?
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*/
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protected abstract heapOrderABeforeB(weightA: number, weightB: number): boolean;
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}
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/** Binary max-heap. */
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export class MaxHeap<T> extends BinHeap<T> {
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heapOrderABeforeB(weightA: number, weightB: number): boolean {
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return weightA > weightB;
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}
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}
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/** Binary min-heap. */
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export class MinHeap<T> extends BinHeap<T> {
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heapOrderABeforeB(weightA: number, weightB: number): boolean {
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return weightA < weightB;
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}
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}
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