Server/project/src/helpers/WeightedRandomHelper.ts
Dev 88c4cf949c Add comments to various functions
Remove redundant function `isWeaponTemplate()`

log warning message when `reparentPresets()` reassigns root item tpl
2023-12-14 15:47:01 +00:00

96 lines
3.2 KiB
TypeScript

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