tldraw/packages/utils/api-report.md

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2023-04-25 11:01:25 +00:00
## API Report File for "@tldraw/utils"
> Do not edit this file. It is a report generated by [API Extractor](https://api-extractor.com/).
```ts
// @internal
export function annotateError(error: unknown, annotations: Partial<ErrorAnnotations>): void;
// @internal (undocumented)
export function areArraysShallowEqual<T>(arr1: readonly T[], arr2: readonly T[]): boolean;
// @internal (undocumented)
export function areObjectsShallowEqual<T extends Record<string, unknown>>(obj1: T, obj2: T): boolean;
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// @internal (undocumented)
export const assert: (value: unknown, message?: string) => asserts value;
// @internal (undocumented)
export const assertExists: <T>(value: T, message?: string | undefined) => NonNullable<T>;
// @internal (undocumented)
export function compact<T>(arr: T[]): NonNullable<T>[];
// @public
export function debounce<T extends unknown[], U>(callback: (...args: T) => PromiseLike<U> | U, wait: number): {
(...args: T): Promise<U>;
cancel(): void;
};
// @public
export function dedupe<T>(input: T[], equals?: (a: any, b: any) => boolean): T[];
// @public
export function deepCopy<T = unknown>(obj: T): T;
// @public (undocumented)
export type ErrorResult<E> = {
readonly ok: false;
readonly error: E;
};
// @internal (undocumented)
export function exhaustiveSwitchError(value: never, property?: string): never;
// @public (undocumented)
export type Expand<T> = T extends infer O ? {
[K in keyof O]: O[K];
} : never;
// @public
export class FileHelpers {
// @internal (undocumented)
static base64ToFile(dataURL: string): Promise<ArrayBuffer>;
static fileToBase64(file: Blob): Promise<string>;
}
derived presence state (#1204) This PR adds - A new `TLInstancePresence` record type, to collect info about the presence state in a particular instance of the editor. This will eventually be used to sync presence data instead of sending instance-only state across the wire. - **Record Scopes** `RecordType` now has a `scope` property which can be one of three things: - `document`: the record belongs to the document and should be synced and persisted freely. Currently: `TLDocument`, `TLPage`, `TLShape`, and `TLAsset` - `instance`: the record belongs to a single instance of the store and should not be synced at all. It should not be persisted directly in most cases, but rather compiled into a kind of 'instance configuration' to store alongside the local document data so that when reopening the associated document it can remember some of the previous instance state. Currently: `TLInstance`, `TLInstancePageState`, `TLCamera`, `TLUser`, `TLUserDocument`, `TLUserPresence` - `presence`: the record belongs to a single instance of the store and should not be persisted, but may be synced using the special presence sync protocol. Currently just `TLInstancePresence` This sets us up for the following changes, which are gonna be pretty high-impact in terms of integrating tldraw into existing systems: - Removing `instanceId` as a config option. Each instance gets a randomly generated ID. - We'd replace it with an `instanceConfig` option that has stuff like selectedIds, camera positions, and so on. Then it's up to library users to get and reinstate the instance config at persistence boundaries. - Removing `userId` as config option, and removing the `TLUser` type altogether. - We might need to revisit when doing auth-enabled features like locking shapes, but I suspect that will be separate.
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// @internal
export function filterEntries<Key extends string, Value>(object: {
[K in Key]: Value;
}, predicate: (key: Key, value: Value) => boolean): {
[K in Key]: Value;
};
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// @internal (undocumented)
export function getErrorAnnotations(error: Error): ErrorAnnotations;
// @public
export function getFirstFromIterable<T = unknown>(set: Map<any, T> | Set<T>): T;
faster image processing in default asset handler (#2441) ![Kapture 2024-01-10 at 13 42 06](https://github.com/tldraw/tldraw/assets/1489520/616bcda7-c05b-46f1-b985-3a36bb5c9476) (gif is with 6x CPU throttling to make the effect more visible) This is the first of a few diffs I'm working on to make dropping images onto the canvas feel a lot faster. There are three main changes here: 1. We operate on `Blob`s and `File`s rather than data urls. This saves a fair bit on converting to/from base64 all the time. I've updated our `MediaHelper` APIs to encourage the same in consumers. 2. We only check the max canvas size (slow) if images are above a certain dimension that we consider "safe" (8k x 8k) 3. Switching from the `downscale` npm library to canvas native downscaling. that library claims to give better results than the browser, but hasn't been updated in ~7 years. in modern browsers, we can opt-in to native high-quality image smoothing to achieve similar results much faster than with an algorithm implemented in pure JS. I want to follow this up with a system to show image placeholders whilst we're waiting for long-running operations like resizing etc but i'm going to split that out into its own diff as it'll involve some fairly complex changes to the history management API. ### Change Type - [x] `major` — Breaking change [^1]: publishes a `patch` release, for devDependencies use `internal` [^2]: will not publish a new version ### Test Plan 1. Tested manually, unit tests & end-to-end tests pass
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// @public
export function getHashForBuffer(buffer: ArrayBuffer): string;
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// @public
export function getHashForObject(obj: any): string;
// @public
export function getHashForString(string: string): string;
// @internal (undocumented)
export function getOwnProperty<K extends string, V>(obj: Partial<Record<K, V>>, key: K): undefined | V;
// @internal (undocumented)
export function getOwnProperty(obj: object, key: string): unknown;
// @internal (undocumented)
export function hasOwnProperty(obj: object, key: string): boolean;
// @public
export function isDefined<T>(value: T): value is typeof value extends undefined ? never : T;
// @public
export function isNonNull<T>(value: T): value is typeof value extends null ? never : T;
// @public
export function isNonNullish<T>(value: T): value is typeof value extends undefined ? never : typeof value extends null ? never : T;
// @public (undocumented)
export type JsonArray = JsonValue[];
// @public (undocumented)
export type JsonObject = {
[key: string]: JsonValue | undefined;
};
// @public (undocumented)
export type JsonPrimitive = boolean | null | number | string;
// @public (undocumented)
export type JsonValue = JsonArray | JsonObject | JsonPrimitive;
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// @internal (undocumented)
export function last<T>(arr: readonly T[]): T | undefined;
// @public
export function lerp(a: number, b: number, t: number): number;
// @public (undocumented)
export function lns(str: string): string;
// @internal
export function mapObjectMapValues<Key extends string, ValueBefore, ValueAfter>(object: {
readonly [K in Key]: ValueBefore;
}, mapper: (key: Key, value: ValueBefore) => ValueAfter): {
[K in Key]: ValueAfter;
};
// @public
export class MediaHelpers {
faster image processing in default asset handler (#2441) ![Kapture 2024-01-10 at 13 42 06](https://github.com/tldraw/tldraw/assets/1489520/616bcda7-c05b-46f1-b985-3a36bb5c9476) (gif is with 6x CPU throttling to make the effect more visible) This is the first of a few diffs I'm working on to make dropping images onto the canvas feel a lot faster. There are three main changes here: 1. We operate on `Blob`s and `File`s rather than data urls. This saves a fair bit on converting to/from base64 all the time. I've updated our `MediaHelper` APIs to encourage the same in consumers. 2. We only check the max canvas size (slow) if images are above a certain dimension that we consider "safe" (8k x 8k) 3. Switching from the `downscale` npm library to canvas native downscaling. that library claims to give better results than the browser, but hasn't been updated in ~7 years. in modern browsers, we can opt-in to native high-quality image smoothing to achieve similar results much faster than with an algorithm implemented in pure JS. I want to follow this up with a system to show image placeholders whilst we're waiting for long-running operations like resizing etc but i'm going to split that out into its own diff as it'll involve some fairly complex changes to the history management API. ### Change Type - [x] `major` — Breaking change [^1]: publishes a `patch` release, for devDependencies use `internal` [^2]: will not publish a new version ### Test Plan 1. Tested manually, unit tests & end-to-end tests pass
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static blobToDataUrl(blob: Blob): Promise<string>;
static getImageSize(blob: Blob): Promise<{
w: number;
h: number;
}>;
faster image processing in default asset handler (#2441) ![Kapture 2024-01-10 at 13 42 06](https://github.com/tldraw/tldraw/assets/1489520/616bcda7-c05b-46f1-b985-3a36bb5c9476) (gif is with 6x CPU throttling to make the effect more visible) This is the first of a few diffs I'm working on to make dropping images onto the canvas feel a lot faster. There are three main changes here: 1. We operate on `Blob`s and `File`s rather than data urls. This saves a fair bit on converting to/from base64 all the time. I've updated our `MediaHelper` APIs to encourage the same in consumers. 2. We only check the max canvas size (slow) if images are above a certain dimension that we consider "safe" (8k x 8k) 3. Switching from the `downscale` npm library to canvas native downscaling. that library claims to give better results than the browser, but hasn't been updated in ~7 years. in modern browsers, we can opt-in to native high-quality image smoothing to achieve similar results much faster than with an algorithm implemented in pure JS. I want to follow this up with a system to show image placeholders whilst we're waiting for long-running operations like resizing etc but i'm going to split that out into its own diff as it'll involve some fairly complex changes to the history management API. ### Change Type - [x] `major` — Breaking change [^1]: publishes a `patch` release, for devDependencies use `internal` [^2]: will not publish a new version ### Test Plan 1. Tested manually, unit tests & end-to-end tests pass
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static getVideoSize(blob: Blob): Promise<{
w: number;
h: number;
}>;
faster image processing in default asset handler (#2441) ![Kapture 2024-01-10 at 13 42 06](https://github.com/tldraw/tldraw/assets/1489520/616bcda7-c05b-46f1-b985-3a36bb5c9476) (gif is with 6x CPU throttling to make the effect more visible) This is the first of a few diffs I'm working on to make dropping images onto the canvas feel a lot faster. There are three main changes here: 1. We operate on `Blob`s and `File`s rather than data urls. This saves a fair bit on converting to/from base64 all the time. I've updated our `MediaHelper` APIs to encourage the same in consumers. 2. We only check the max canvas size (slow) if images are above a certain dimension that we consider "safe" (8k x 8k) 3. Switching from the `downscale` npm library to canvas native downscaling. that library claims to give better results than the browser, but hasn't been updated in ~7 years. in modern browsers, we can opt-in to native high-quality image smoothing to achieve similar results much faster than with an algorithm implemented in pure JS. I want to follow this up with a system to show image placeholders whilst we're waiting for long-running operations like resizing etc but i'm going to split that out into its own diff as it'll involve some fairly complex changes to the history management API. ### Change Type - [x] `major` — Breaking change [^1]: publishes a `patch` release, for devDependencies use `internal` [^2]: will not publish a new version ### Test Plan 1. Tested manually, unit tests & end-to-end tests pass
2024-01-10 14:41:18 +00:00
static loadImage(src: string): Promise<HTMLImageElement>;
static loadVideo(src: string): Promise<HTMLVideoElement>;
// (undocumented)
static usingObjectURL<T>(blob: Blob, fn: (url: string) => Promise<T>): Promise<T>;
}
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// @internal (undocumented)
export function minBy<T>(arr: readonly T[], fn: (item: T) => number): T | undefined;
// @public
export function modulate(value: number, rangeA: number[], rangeB: number[], clamp?: boolean): number;
// @internal
export function noop(): void;
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// @internal
export function objectMapEntries<Key extends string, Value>(object: {
[K in Key]: Value;
}): Array<[Key, Value]>;
// @internal
export function objectMapFromEntries<Key extends string, Value>(entries: ReadonlyArray<readonly [Key, Value]>): {
[K in Key]: Value;
};
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// @internal
export function objectMapKeys<Key extends string>(object: {
readonly [K in Key]: unknown;
}): Array<Key>;
// @internal
export function objectMapValues<Key extends string, Value>(object: {
[K in Key]: Value;
}): Array<Value>;
// @public (undocumented)
export type OkResult<T> = {
readonly ok: true;
readonly value: T;
};
// @internal
export function omitFromStackTrace<Args extends Array<unknown>, Return>(fn: (...args: Args) => Return): (...args: Args) => Return;
// @internal
export function partition<T>(arr: T[], predicate: (item: T) => boolean): [T[], T[]];
// @public (undocumented)
export class PngHelpers {
// (undocumented)
static findChunk(view: DataView, type: string): {
dataOffset: number;
size: number;
start: number;
};
// (undocumented)
static getChunkType(view: DataView, offset: number): string;
// (undocumented)
static isPng(view: DataView, offset: number): boolean;
// (undocumented)
static parsePhys(view: DataView, offset: number): {
ppux: number;
ppuy: number;
unit: number;
};
// (undocumented)
static readChunks(view: DataView, offset?: number): Record<string, {
dataOffset: number;
size: number;
start: number;
}>;
// (undocumented)
static setPhysChunk(view: DataView, dpr?: number, options?: BlobPropertyBag): Blob;
}
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// @internal (undocumented)
export function promiseWithResolve<T>(): Promise<T> & {
resolve: (value: T) => void;
reject: (reason?: any) => void;
};
// @internal
export function rafThrottle(fn: () => void): () => void;
// @public (undocumented)
export type RecursivePartial<T> = {
[P in keyof T]?: RecursivePartial<T[P]>;
};
// @internal (undocumented)
type Required_2<T, K extends keyof T> = Expand<Omit<T, K> & _Required<Pick<T, K>>>;
export { Required_2 as Required }
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// @public (undocumented)
export type Result<T, E> = ErrorResult<E> | OkResult<T>;
// @public (undocumented)
export const Result: {
ok<T>(value: T): OkResult<T>;
err<E>(error: E): ErrorResult<E>;
};
// @public
export function rng(seed?: string): () => number;
// @public
export function rotateArray<T>(arr: T[], offset: number): T[];
// @public (undocumented)
export function sortById<T extends {
id: any;
}>(a: T, b: T): -1 | 1;
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// @public (undocumented)
const structuredClone_2: <T>(i: T) => T;
export { structuredClone_2 as structuredClone }
// @public
export function throttle<T extends (...args: any) => any>(func: T, limit: number): (...args: Parameters<T>) => ReturnType<T>;
// @internal
export function throttledRaf(fn: () => void): void;
// @internal (undocumented)
export function warnDeprecatedGetter(name: string): void;
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// (No @packageDocumentation comment for this package)
```