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Suggestion: Distributive code inference "as dist"Β #62631

@codpro2005

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@codpro2005

πŸ” Search Terms

  • distributive inference
  • distributed function
  • as dist
  • as distributed

βœ… Viability Checklist

⭐ Suggestion

Add dist / distributed keyword to enable inference in a distributive manner.

Concept 1: Inline as dist

Handle the inference by distributing over all types used by the expression:

const transform = (val: [1, 1] | [2, 2]) => [val[0], val[1]] as dist;
typeof transform; // (val: [1, 1] | [2, 2]) => [1, 1] | [2, 2]

//

const add = (...[a, b]: [number, number] | [bigint, bigint]) => a + b as dist;
typeof add; // (...[a, b]: [number, number] | [bigint, bigint]) => number | bigint

Concept 2: Function-level dist return type

Allow distribution across an entire function body:

const f = <T extends [number, number] | [bigint, bigint]>(...[a, b]: T): dist => {
    const sum = a + b; // number | bigint
    const arr = [a, b]; // [number, number] | [bigint, bigint];
    return {
        sum,
        arr
    } // {sum: number, arr: [number, number]} | {sum: bigint, arr: [bigint, bigint]}
}

const res = f(3,7); // {sum: number, arr: [number, number]}
const rez = f(3n,7n); // {sum: bigint, arr: [bigint, bigint]}

typeof f; // (<T extends [number, number]>(...[a, b]: T) => { sum: number; arr: [number, number]; }) & (<T extends [bigint, bigint]>(...[a, b]: T) => { sum: bigint; arr: [bigint, bigint]; })

Concept 1 could also be supported on function expressions with equivalent behavior to Concept 2:

const f2 = (<T extends [number, number] | [bigint, bigint]>(...[a, b]: T) => {/*code*/}) as dist; // Equivalent to "f"

Notes

These are early-stage concepts meant to illustrate the core idea. The specific syntax and behaviors should be refined during implementation.

Open questions: Interaction with as const, generics, nested functions, opt-out mechanisms, etc. will need consideration.
Potential breaking change: Codebases with a type called dist would conflict, though this would go against TypeScript's PascalCase naming convention for types.

πŸ“ƒ Motivating Example

Currently, code is inferred in a non-distributive manner:

Example inspired by geon

const transform = (val: [1, 1] | [2, 2]) => [val[0], val[1]] as const;
// Inferred return type: readonly [1 | 2, 1 | 2]
// Expected return type: readonly [1, 1] | readonly [2, 2]

This can be addressed by duplicating your code logic within a distributive context in the typesystem:

const transform = <T extends [1, 1] | [2, 2]>(val: T) => [val[0], val[1]] as T extends unknown
    ? [T[0], T[1]]
    : never
;

const res = transform(undefined! as [1, 1] | [2, 2]); // [1, 1] | [2, 2]
const rez = transform([1, 1]); // [1, 1]

But this is very repetitive and awkward. Besides that, this only works if the automatic inference doesn't cause a conflict to begin with and can be simply translated into the type system:

Example inspired by Emilio Platzer and Mudloop

// @ts-expect-error: Operator '+' cannot be applied to types 'number | bigint' and 'number | bigint'.(2365)
const add = (...[a, b]: [number, number] | [bigint, bigint]) => a + b;

πŸ’» Use Cases

  1. What do you want to use this for?
    Preserving precise type relationships when transforming union types, and enabling operations across union branches that are currently rejected by the type checker.
  2. What shortcomings exist with current approaches?
    Current workarounds require manually duplicating code logic in the type system using conditional types. This is verbose, error-prone, and fails when TypeScript rejects the runtime-aligned code itself
  3. What workarounds are you using in the meantime?
    Manually encoding distributive logic using conditional types

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