microsoft / microsoft/TypeScript

Function parameters and return type inference with infer keyword

Offen
#38,182 2 Kommentare 10 Reaktionen 0 zugewiesene Personen Auf GitHub ansehen

Dieses Issue hat noch niemand übernommen.

In Discussion Suggestion
Vorherrschende Sprache
Go
Sterne
111k
Forks
14.3k
Ø Merge
2 T. 4 Std.
Gemergte PRs (30 T.)
132

Beschreibung

I saw a couple of similar issues, but it all provided very poor specification of the problem, so I decided to open my own issue.

Description

The further step in bringing nice fp declarations into TypeScript is adding function parameters and return type inference through infer keyword.

Lets look at some examples:

type F1 = <T extends number>(a: T, b: T) => T

// Now: [number, number]
// Propose: [1, 1]
type R1 = F1 extends ((a: 1, b: infer P) => infer R) ? [P, R] : never

Here we passed parameter a as 1 and expect:

  1. Type parameter T to be inferred as 1
  2. Type P to be inferred as T -> 1
  3. Type R to be inferred as T -> 1
  4. Result to be inferred as [P, R] -> [1, 1]

type F2 = <T1 extends AnyTuple, T2>(a: T1, b: T2, c: Reverse<T1>) => [T1, T2]  

// Now: [never, unknown, [AnyTuple, unknown]]
// Propose: [[3, 2, 1], unknown, [[1, 2, 3], unknown]]
type R2 = F2 extends (a: [1, 2, 3], b: infer P2, c: infer P1) => infer R ? [P1, P2, R] : never

Here we passed parameter a as [1, 2, 3] and expect:

  1. Type parameter T1 to be inferred as [1, 2, 3]
  2. Type parameter T2 to be replaced with unknown type because we provided no info to be able to infer it
  3. Type P2 to be inferred as T2 -> unknown
  4. Type P1 to be inferred as Reverse<T1> -> Reverse<[1, 2, 3]> -> [3, 2, 1]
  5. Type R to be inferred as [T1, T2] -> [[1, 2, 3], unknown]
  6. Result to be inferred as [P1, P2, R] -> `[[3, 2, 1], unknown, [[1, 2, 3], unknown]]

type F3 = <T extends AnyTuple>(a: T, b: T['length']) => typeof b

// Now: never
// Propose: 3
type R3 = F3 extends ((a: [1, 2, 3], b: infer LEN) => any) ? LEN : never

Here we expect:

  1. Type parameter T to be inferred as [1, 2, 3]
  2. Type LEN to be inferred as T['length'] -> [1, 2, 3]['length'] -> 3
  3. Result to be inferred as LEN -> 3

Case of wrapping type checkers:

enum string_literal { string_literal = '' }

type StringLiteral<T> = T extends string ? string extends T ? string_literal : T : string_literal

type F4 = <T>(a: StringLiteral<T>, b: T) => T extends '' ? [] : T

// Now: all cases never

// Proposed: ['foobar', 'foobar']
type R4_1 = F4 extends ((a: 'foobar', b: infer P) => infer R) ? [P, R] : never
// Proposed: ['', []]
type R4_2 = F4 extends ((a: '', b: infer P) => infer R) ? [P, R] : never
// Proposed: [string_literal, string]
type R4_3 = F4 extends ((a: string, b: infer P) => infer R) ? [P, R] : never

Use cases

In other similar issues I saw only use cases of function parameters inference, so I'll extend it with return type inference cases.

The first example is a call function:

declare function call<P extends AnyTuple, F extends ((...args: P) => unknown)>(
  params: P, func: F
): F extends (...args: P) => infer R ? R : never

// Got: [unknown, unknown]
// Expected: [1, 2]
const a = call([1, 2], <A, B>(a: A, b: B): [A, B] => [a, b])

Also it may be used to infer return types on each step of computing pipe and flow function versions with unlimited parameters count. I'm sure, there're much more cases where this feature may be applied, but I can't remember any more right now.

Util types used

type Empty = readonly []


type AnyTuple = ReadonlyArray<unknown> & { readonly 0: unknown } | Empty


type Tail<T extends AnyTuple> = ((...args: T) => any) extends (head: any, ...tail: infer R) => any

  ? R extends AnyTuple ? Readonly<R> : never : Empty


type Prepend<T extends AnyTuple, E> = ((e: E, ...args: T) => any) extends

  (...args: infer R) => any ? R extends AnyTuple ? Readonly<R> : never : never


type _ReverseWith<T extends AnyTuple, Result extends AnyTuple> = {
  0: _ReverseWith<Tail<T>, Prepend<Result, T[0]>>
  1: Readonly<Result>
}[T extends Empty ? 1 : 0]


type Reverse<T extends AnyTuple> = _ReverseWith<T, Empty>

Beitragsleitfaden

Beitragsleitfaden öffnen

Erste Schritte

  1. Lies das ganze Issue und danach den Beitragsleitfaden des Projekts.
  2. Schreib ins Issue, dass du es übernimmst — das erspart doppelte Arbeit.
  3. Forke das Repository und arbeite in einem Branch.
  4. Öffne einen Pull Request, der die Issue-Nummer nennt.

Rechercherichtung

Beginne mit der Prüfung der Beispiele für bedingte Typen und der im Issue dokumentierten aktuellen und vorgeschlagenen Ergebnisse. Da keine Implementierungsdateien, Tests oder Einstiegspunkte genannt sind, gehört das Auffinden des relevanten Typinferenz-Subsystems und das Definieren kompatibler Tests zur Arbeit. Als abgeschlossen gilt die Arbeit, wenn die vorgeschlagenen Fälle zur Inferenz von Parameter- und Rückgabetypen die angegebenen Ergebnisse liefern.

Vom Indexierungsmodell aus dem Issue-Text verfasst.

Bewertung

Tech-Stack
typescript
Bereich
compilers
Issue-Typ
Feature
Schwierigkeit
5/5
Geschätzter Aufwand
Über eine Woche
Aktivitätsstatus
Veraltet
Klarheit
Größtenteils klar
Anfängerfreundlichkeit
25/100

Neue Issues direkt in Ihr Postfach

Eine kurze Übersicht über anfängerfreundliche GitHub-Issues.