Files
pezkuwi-telemetry/packages/common/src/helpers.ts
T
2018-09-27 17:01:51 +02:00

193 lines
4.4 KiB
TypeScript

import { Milliseconds, Timestamp } from './types';
/**
* PhantomData akin to Rust, because sometimes you need to be smarter than
* the compiler.
*/
export abstract class PhantomData<P> { public __PHANTOM__: P }
/**
* Opaque type, similar to `opaque type` in Flow, or new types in Rust/C.
* These should be produced only by manually casting `t as Opaque<T, P>`.
*
* `P` can be anything as it's never actually used. Using strings is okay:
*
* ```
* type MyType = Opaque<number, 'MyType'>;
* ```
*/
export type Opaque<T, P> = T & PhantomData<P>;
/**
* Just a readable shorthand for null-ish-able types, akin to `T?` in Flow.
*/
export type Maybe<T> = T | null | undefined;
/**
* Asynchronous sleep
*/
export function sleep(time: Milliseconds): Promise<void> {
return new Promise<void>((resolve, _reject) => {
setTimeout(() => resolve(), time);
});
}
export const timestamp = Date.now as () => Timestamp;
export function noop() {}
/**
* Keep track of last N numbers pushed onto internal stack.
* Provides means to get an average of said numbers.
*/
export class NumStats<T extends number> {
private readonly stack: Array<T>;
private readonly history: number;
private index = 0;
constructor(history: number) {
if (history < 1) {
throw new Error('Must track at least one number');
}
this.history = history;
this.stack = new Array(history);
}
public push(val: T) {
this.stack[this.index++ % this.history] = val;
}
/**
* Get average value of all values on the stack.
*
* @return {T} average value
*/
public average(): T {
if (this.index === 0) {
return 0 as T;
}
const list = this.nonEmpty();
let sum = 0;
for (const n of list as Array<number>) {
sum += n;
}
return (sum / list.length) as T;
}
/**
* Get average value of all values of the stack after filtering
* out a number of highest and lowest values
*
* @param {number} extremes number of high/low values to ignore
* @return {T} average value
*/
public averageWithoutExtremes(extremes: number): T {
if (this.index === 0) {
return 0 as T;
}
const list = this.nonEmpty();
const count = list.length - extremes * 2;
if (count < 1) {
// Not enough entries to remove desired number of extremes,
// fall back to regular average
return this.average();
}
let sum = 0;
for (const n of list.sort((a, b) => a - b).slice(extremes, -extremes)) {
sum += n;
}
return (sum / count) as T;
}
private nonEmpty(): Readonly<Array<number>> {
return this.index < this.history ? this.stack.slice(0, this.index) : this.stack;
}
}
/**
* Insert an item into a sorted array using binary search.
*
* @type {T} item type
* @param {T} item to be inserted
* @param {Array<T>} array to be modified
* @param {(a, b) => number} compare function
*
* @return {number} insertion index
*/
export function sortedInsert<T>(item: T, into: Array<T>, compare: (a: T, b: T) => number): number {
if (into.length === 0) {
into.push(item);
return 0;
}
let min = 0;
let max = into.length - 1;
while (min !== max) {
const guess = (min + max) / 2 | 0;
if (compare(item, into[guess]) < 0) {
max = Math.max(min, guess - 1);
} else {
min = Math.min(max, guess + 1);
}
}
let insert = compare(item, into[min]) <= 0 ? min : min + 1;
into.splice(insert, 0, item);
return insert;
}
/**
* Find an index of an element within a sorted array. This should be substantially
* faster than `indexOf` for large arrays.
*
* @type {T} item type
* @param {T} item to find
* @param {Array<T>} array to look through
* @param {(a, b) => number} compare function
*
* @return {number} index of the element, `-1` if not found
*/
export function sortedIndexOf<T>(item:T, within: Array<T>, compare: (a: T, b: T) => number): number {
if (within.length === 0) {
return -1;
}
let min = 0;
let max = within.length - 1;
while (min !== max) {
const guess = (min + max) / 2 | 0;
const other = within[guess];
if (item === other) {
return guess;
}
if (compare(item, other) < 0) {
max = Math.max(min, guess - 1);
} else {
min = Math.min(max, guess + 1);
}
}
if (item === within[min]) {
return min;
}
return -1;
}