88c4cf949c
Remove redundant function `isWeaponTemplate()` log warning message when `reparentPresets()` reassigns root item tpl
96 lines
3.2 KiB
TypeScript
96 lines
3.2 KiB
TypeScript
import { injectable } from "tsyringe";
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@injectable()
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export class WeightedRandomHelper
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{
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/**
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* @deprecated USE getWeightedValue() WHERE POSSIBLE
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* Gets a tplId from a weighted dictionary
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* @param {tplId: weighting[]} itemArray
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* @returns tplId
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*/
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public getWeightedInventoryItem(itemArray: { [tplId: string]: unknown; } | ArrayLike<unknown>): string
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{
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const itemKeys = Object.keys(itemArray);
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const weights = Object.values(itemArray);
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const chosenItem = this.weightedRandom(itemKeys, weights);
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return chosenItem.item;
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}
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/**
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* Choos an item from the passed in array based on the weightings of each
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* @param itemArray Items and weights to use
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* @returns Chosen item from array
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*/
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public getWeightedValue<T>(itemArray: { [key: string]: unknown; } | ArrayLike<unknown>): T
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{
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const itemKeys = Object.keys(itemArray);
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const weights = Object.values(itemArray);
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const chosenItem = this.weightedRandom(itemKeys, weights);
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return chosenItem.item;
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}
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/**
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* Picks the random item based on its weight.
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* The items with higher weight will be picked more often (with a higher probability).
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*
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* For example:
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* - items = ['banana', 'orange', 'apple']
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* - weights = [0, 0.2, 0.8]
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* - weightedRandom(items, weights) in 80% of cases will return 'apple', in 20% of cases will return
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* 'orange' and it will never return 'banana' (because probability of picking the banana is 0%)
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*
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* @param {any[]} items
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* @param {number[]} weights
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* @returns {{item: any, index: number}}
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*/
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public weightedRandom(items: any[], weights: any[]): { item: any; index: number; }
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{
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if (!items || items.length === 0)
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{
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throw new Error("Items must not be empty");
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}
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if (!weights || weights.length === 0)
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{
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throw new Error("Item weights must not be empty");
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}
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if (items.length !== weights.length)
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{
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throw new Error("Items and weight inputs must be of the same length");
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}
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// Preparing the cumulative weights array.
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// For example:
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// - weights = [1, 4, 3]
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// - cumulativeWeights = [1, 5, 8]
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const cumulativeWeights = [];
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for (let i = 0; i < weights.length; i += 1)
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{
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cumulativeWeights[i] = weights[i] + (cumulativeWeights[i - 1] || 0);
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}
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// Getting the random number in a range of [0...sum(weights)]
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// For example:
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// - weights = [1, 4, 3]
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// - maxCumulativeWeight = 8
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// - range for the random number is [0...8]
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const maxCumulativeWeight = cumulativeWeights[cumulativeWeights.length - 1];
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const randomNumber = maxCumulativeWeight * Math.random();
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// Picking the random item based on its weight.
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// The items with higher weight will be picked more often.
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for (let itemIndex = 0; itemIndex < items.length; itemIndex += 1)
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{
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if (cumulativeWeights[itemIndex] >= randomNumber)
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{
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return { item: items[itemIndex], index: itemIndex };
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}
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}
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}
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}
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