<A>(f: (a: NoInfer<A>) => A): (self: TxChunk<A>) => Effect.Effect<void>
<A>(self: TxChunk<A>, f: (a: A) => A): Effect.Effect<void>Maps each element of the TxChunk using a function that returns the same
element type.
Details
This function mutates the original TxChunk by transforming each element in place. It does not
return a new TxChunk reference.
Example (Mapping elements)
import { Chunk, Effect, TxChunk } from "effect"
const program = Effect.gen(function*() {
const txChunk = yield* TxChunk.fromIterable([1, 2, 3, 4])
// Transform each element atomically (must maintain same type)
yield* TxChunk.map(txChunk, (n) => n * 2)
const result = yield* TxChunk.get(txChunk)
console.log(Chunk.toReadonlyArray(result)) // [2, 4, 6, 8]
})export const const map: {
<A>(f: (a: NoInfer<A>) => A): (
self: TxChunk<A>
) => Effect.Effect<void>
<A>(
self: TxChunk<A>,
f: (a: A) => A
): Effect.Effect<void>
}
Maps each element of the TxChunk using a function that returns the same
element type.
Details
This function mutates the original TxChunk by transforming each element in place. It does not
return a new TxChunk reference.
Example (Mapping elements)
import { Chunk, Effect, TxChunk } from "effect"
const program = Effect.gen(function*() {
const txChunk = yield* TxChunk.fromIterable([1, 2, 3, 4])
// Transform each element atomically (must maintain same type)
yield* TxChunk.map(txChunk, (n) => n * 2)
const result = yield* TxChunk.get(txChunk)
console.log(Chunk.toReadonlyArray(result)) // [2, 4, 6, 8]
})
map: {
<function (type parameter) A in <A>(f: (a: NoInfer<A>) => A): (self: TxChunk<A>) => Effect.Effect<void>A>(f: (a: NoInfer<A>) => Af: (a: NoInfer<A>a: type NoInfer<A> = [A][A extends any ? 0 : never]Prevents TypeScript from inferring a type parameter from a specific
position.
When to use
Use when a function parameter must match an inferred type without becoming
an inference source.
Details
The parameter using NoInfer must still match the inferred type.
Example (Controlling inference)
import type { Types } from "effect"
declare function withDefault<T>(value: T, fallback: Types.NoInfer<T>): T
// T is inferred as "a" | "b" from the first argument only
const result = withDefault<"a" | "b">("a", "b")
NoInfer<function (type parameter) A in <A>(f: (a: NoInfer<A>) => A): (self: TxChunk<A>) => Effect.Effect<void>A>) => function (type parameter) A in <A>(f: (a: NoInfer<A>) => A): (self: TxChunk<A>) => Effect.Effect<void>A): (self: TxChunk<A>(parameter) self: {
ref: TxRef.TxRef<Chunk.Chunk<A>>;
toString: () => string;
toJSON: () => unknown;
pipe: { <A>(this: A): A; <A, B = never>(this: A, ab: (_: A) => B): B; <A, B = never, C = never>(this: A, ab: (_: A) => B, bc: (_: B) => C): C; <A, B = never, C = never, D = never>(this: A, ab: (_: A) => B, bc: (_: B) => C, cd: (_: C) => D): D; <…;
}
interface TxChunk<in out A>TxChunk is a transactional chunk data structure that provides Software Transactional Memory (STM)
semantics for chunk operations.
Details
Accessed values are tracked by the transaction in order to detect conflicts and to track changes.
A transaction will retry whenever a conflict is detected or whenever the transaction explicitly
calls Effect.txRetry and any of the accessed TxChunk values change.
Example (Using a transactional chunk)
import { Chunk, Effect, TxChunk } from "effect"
const program = Effect.gen(function*() {
// Create a transactional chunk
const txChunk: TxChunk.TxChunk<number> = yield* TxChunk.fromIterable([
1,
2,
3
])
// Single operations - no explicit transaction needed
yield* TxChunk.append(txChunk, 4)
const result = yield* TxChunk.get(txChunk)
console.log(Chunk.toReadonlyArray(result)) // [1, 2, 3, 4]
// Multi-step atomic operation - use explicit transaction
yield* Effect.tx(
Effect.gen(function*() {
yield* TxChunk.prepend(txChunk, 0)
yield* TxChunk.append(txChunk, 5)
})
)
const finalResult = yield* TxChunk.get(txChunk)
console.log(Chunk.toReadonlyArray(finalResult)) // [0, 1, 2, 3, 4, 5]
})
TxChunk<function (type parameter) A in <A>(f: (a: NoInfer<A>) => A): (self: TxChunk<A>) => Effect.Effect<void>A>) => import EffectEffect.type Effect.Effect = /*unresolved*/ anyEffect<void>
<function (type parameter) A in <A>(self: TxChunk<A>, f: (a: A) => A): Effect.Effect<void>A>(self: TxChunk<A>(parameter) self: {
ref: TxRef.TxRef<Chunk.Chunk<A>>;
toString: () => string;
toJSON: () => unknown;
pipe: { <A>(this: A): A; <A, B = never>(this: A, ab: (_: A) => B): B; <A, B = never, C = never>(this: A, ab: (_: A) => B, bc: (_: B) => C): C; <A, B = never, C = never, D = never>(this: A, ab: (_: A) => B, bc: (_: B) => C, cd: (_: C) => D): D; <…;
}
interface TxChunk<in out A>TxChunk is a transactional chunk data structure that provides Software Transactional Memory (STM)
semantics for chunk operations.
Details
Accessed values are tracked by the transaction in order to detect conflicts and to track changes.
A transaction will retry whenever a conflict is detected or whenever the transaction explicitly
calls Effect.txRetry and any of the accessed TxChunk values change.
Example (Using a transactional chunk)
import { Chunk, Effect, TxChunk } from "effect"
const program = Effect.gen(function*() {
// Create a transactional chunk
const txChunk: TxChunk.TxChunk<number> = yield* TxChunk.fromIterable([
1,
2,
3
])
// Single operations - no explicit transaction needed
yield* TxChunk.append(txChunk, 4)
const result = yield* TxChunk.get(txChunk)
console.log(Chunk.toReadonlyArray(result)) // [1, 2, 3, 4]
// Multi-step atomic operation - use explicit transaction
yield* Effect.tx(
Effect.gen(function*() {
yield* TxChunk.prepend(txChunk, 0)
yield* TxChunk.append(txChunk, 5)
})
)
const finalResult = yield* TxChunk.get(txChunk)
console.log(Chunk.toReadonlyArray(finalResult)) // [0, 1, 2, 3, 4, 5]
})
TxChunk<function (type parameter) A in <A>(self: TxChunk<A>, f: (a: A) => A): Effect.Effect<void>A>, f: (a: A) => Af: (a: Aa: function (type parameter) A in <A>(self: TxChunk<A>, f: (a: A) => A): Effect.Effect<void>A) => function (type parameter) A in <A>(self: TxChunk<A>, f: (a: A) => A): Effect.Effect<void>A): import EffectEffect.type Effect.Effect = /*unresolved*/ anyEffect<void>
} = import dualdual(
2,
<function (type parameter) A in <A>(self: TxChunk<A>, f: (a: A) => A): Effect.Effect<void>A>(self: TxChunk<A>(parameter) self: {
ref: TxRef.TxRef<Chunk.Chunk<A>>;
toString: () => string;
toJSON: () => unknown;
pipe: { <A>(this: A): A; <A, B = never>(this: A, ab: (_: A) => B): B; <A, B = never, C = never>(this: A, ab: (_: A) => B, bc: (_: B) => C): C; <A, B = never, C = never, D = never>(this: A, ab: (_: A) => B, bc: (_: B) => C, cd: (_: C) => D): D; <…;
}
interface TxChunk<in out A>TxChunk is a transactional chunk data structure that provides Software Transactional Memory (STM)
semantics for chunk operations.
Details
Accessed values are tracked by the transaction in order to detect conflicts and to track changes.
A transaction will retry whenever a conflict is detected or whenever the transaction explicitly
calls Effect.txRetry and any of the accessed TxChunk values change.
Example (Using a transactional chunk)
import { Chunk, Effect, TxChunk } from "effect"
const program = Effect.gen(function*() {
// Create a transactional chunk
const txChunk: TxChunk.TxChunk<number> = yield* TxChunk.fromIterable([
1,
2,
3
])
// Single operations - no explicit transaction needed
yield* TxChunk.append(txChunk, 4)
const result = yield* TxChunk.get(txChunk)
console.log(Chunk.toReadonlyArray(result)) // [1, 2, 3, 4]
// Multi-step atomic operation - use explicit transaction
yield* Effect.tx(
Effect.gen(function*() {
yield* TxChunk.prepend(txChunk, 0)
yield* TxChunk.append(txChunk, 5)
})
)
const finalResult = yield* TxChunk.get(txChunk)
console.log(Chunk.toReadonlyArray(finalResult)) // [0, 1, 2, 3, 4, 5]
})
TxChunk<function (type parameter) A in <A>(self: TxChunk<A>, f: (a: A) => A): Effect.Effect<void>A>, f: (a: A) => Af: (a: Aa: function (type parameter) A in <A>(self: TxChunk<A>, f: (a: A) => A): Effect.Effect<void>A) => function (type parameter) A in <A>(self: TxChunk<A>, f: (a: A) => A): Effect.Effect<void>A): import EffectEffect.type Effect.Effect = /*unresolved*/ anyEffect<void> => const update: {
<A>(
f: (
current: Chunk.Chunk<NoInfer<A>>
) => Chunk.Chunk<A>
): (self: TxChunk<A>) => Effect.Effect<void>
<A>(
self: TxChunk<A>,
f: (current: Chunk.Chunk<A>) => Chunk.Chunk<A>
): Effect.Effect<void>
}
self: TxChunk<A>(parameter) self: {
ref: TxRef.TxRef<Chunk.Chunk<A>>;
toString: () => string;
toJSON: () => unknown;
pipe: { <A>(this: A): A; <A, B = never>(this: A, ab: (_: A) => B): B; <A, B = never, C = never>(this: A, ab: (_: A) => B, bc: (_: B) => C): C; <A, B = never, C = never, D = never>(this: A, ab: (_: A) => B, bc: (_: B) => C, cd: (_: C) => D): D; <…;
}
current: Chunk.Chunk<A>(parameter) current: {
length: number;
right: Chunk<A>;
left: Chunk<A>;
backing: Backing<A>;
depth: number;
pipe: { <A>(this: A): A; <A, B = never>(this: A, ab: (_: A) => B): B; <A, B = never, C = never>(this: A, ab: (_: A) => B, bc: (_: B) => C): C; <A, B = never, C = never, D = never>(this: A, ab: (_: A) => B, bc: (_: B) => C, cd: (_: C) => D): D; <…;
toString: () => string;
toJSON: () => unknown;
}
import ChunkChunk.map(current: Chunk.Chunk<A>(parameter) current: {
length: number;
right: Chunk<A>;
left: Chunk<A>;
backing: Backing<A>;
depth: number;
pipe: { <A>(this: A): A; <A, B = never>(this: A, ab: (_: A) => B): B; <A, B = never, C = never>(this: A, ab: (_: A) => B, bc: (_: B) => C): C; <A, B = never, C = never, D = never>(this: A, ab: (_: A) => B, bc: (_: B) => C, cd: (_: C) => D): D; <…;
toString: () => string;
toJSON: () => unknown;
}
f: (a: A) => Af))
)