<A>(other: Chunk.Chunk<A>): (self: TxChunk<A>) => Effect.Effect<void>
<A>(self: TxChunk<A>, other: Chunk.Chunk<A>): Effect.Effect<void>Concatenates another chunk to the beginning of the TxChunk.
Details
This function mutates the original TxChunk by prepending all elements from the other chunk. It does not return a new TxChunk reference.
Example (Prepending another chunk)
import { Chunk, Effect, TxChunk } from "effect"
const program = Effect.gen(function*() {
const txChunk = yield* TxChunk.fromIterable([4, 5, 6])
const otherChunk = Chunk.fromIterable([1, 2, 3])
// Prepend all elements from another chunk atomically
yield* TxChunk.prependAll(txChunk, otherChunk)
const result = yield* TxChunk.get(txChunk)
console.log(Chunk.toReadonlyArray(result)) // [1, 2, 3, 4, 5, 6]
})export const const prependAll: {
<A>(other: Chunk.Chunk<A>): (
self: TxChunk<A>
) => Effect.Effect<void>
<A>(
self: TxChunk<A>,
other: Chunk.Chunk<A>
): Effect.Effect<void>
}
Concatenates another chunk to the beginning of the TxChunk.
Details
This function mutates the original TxChunk by prepending all elements from the other chunk. It
does not return a new TxChunk reference.
Example (Prepending another chunk)
import { Chunk, Effect, TxChunk } from "effect"
const program = Effect.gen(function*() {
const txChunk = yield* TxChunk.fromIterable([4, 5, 6])
const otherChunk = Chunk.fromIterable([1, 2, 3])
// Prepend all elements from another chunk atomically
yield* TxChunk.prependAll(txChunk, otherChunk)
const result = yield* TxChunk.get(txChunk)
console.log(Chunk.toReadonlyArray(result)) // [1, 2, 3, 4, 5, 6]
})
prependAll: {
<function (type parameter) A in <A>(other: Chunk.Chunk<A>): (self: TxChunk<A>) => Effect.Effect<void>A>(other: Chunk.Chunk<A>(parameter) other: {
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;
}
other: import ChunkChunk.interface Chunk<out A>A Chunk is an immutable, ordered collection optimized for efficient concatenation and access patterns.
Example (Inspecting chunk values)
import { Chunk } from "effect"
const chunk: Chunk.Chunk<number> = Chunk.make(1, 2, 3)
console.log(chunk.length) // 3
console.log(Chunk.toArray(chunk)) // [1, 2, 3]
A namespace containing utility types for Chunk operations.
Example (Working with Chunk utility types)
import type { Chunk } from "effect"
// Extract the element type from a Chunk
declare const chunk: Chunk.Chunk<string>
type ElementType = Chunk.Chunk.Infer<typeof chunk> // string
// Create a preserving non-emptiness
declare const nonEmptyChunk: Chunk.NonEmptyChunk<number>
type WithString = Chunk.Chunk.With<typeof nonEmptyChunk, string> // Chunk.NonEmptyChunk<string>
Chunk<function (type parameter) A in <A>(other: Chunk.Chunk<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; <…;
}
self: 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>(other: Chunk.Chunk<A>): (self: TxChunk<A>) => Effect.Effect<void>A>) => import EffectEffect.interface Effect<out A, out E = never, out R = never>The Effect interface defines a value that lazily describes a workflow or
job. The workflow requires some context R, and may fail with an error of
type E, or succeed with a value of type A.
When to use
Use when you need to represent a lazy, composable workflow that can require
services, fail with a typed error, or succeed with a typed value.
Details
Effect values model resourceful interaction with the outside world,
including synchronous, asynchronous, concurrent, and parallel interaction.
They use a fiber-based concurrency model, with built-in support for
scheduling, fine-grained interruption, structured concurrency, and high
scalability.
To run an Effect value, you need a Runtime, which is a type that is
capable of executing Effect values.
Effect<void>
<function (type parameter) A in <A>(self: TxChunk<A>, other: Chunk.Chunk<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; <…;
}
self: 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>, other: Chunk.Chunk<A>): Effect.Effect<void>A>, other: Chunk.Chunk<A>(parameter) other: {
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;
}
other: import ChunkChunk.interface Chunk<out A>A Chunk is an immutable, ordered collection optimized for efficient concatenation and access patterns.
Example (Inspecting chunk values)
import { Chunk } from "effect"
const chunk: Chunk.Chunk<number> = Chunk.make(1, 2, 3)
console.log(chunk.length) // 3
console.log(Chunk.toArray(chunk)) // [1, 2, 3]
A namespace containing utility types for Chunk operations.
Example (Working with Chunk utility types)
import type { Chunk } from "effect"
// Extract the element type from a Chunk
declare const chunk: Chunk.Chunk<string>
type ElementType = Chunk.Chunk.Infer<typeof chunk> // string
// Create a preserving non-emptiness
declare const nonEmptyChunk: Chunk.NonEmptyChunk<number>
type WithString = Chunk.Chunk.With<typeof nonEmptyChunk, string> // Chunk.NonEmptyChunk<string>
Chunk<function (type parameter) A in <A>(self: TxChunk<A>, other: Chunk.Chunk<A>): Effect.Effect<void>A>): import EffectEffect.interface Effect<out A, out E = never, out R = never>The Effect interface defines a value that lazily describes a workflow or
job. The workflow requires some context R, and may fail with an error of
type E, or succeed with a value of type A.
When to use
Use when you need to represent a lazy, composable workflow that can require
services, fail with a typed error, or succeed with a typed value.
Details
Effect values model resourceful interaction with the outside world,
including synchronous, asynchronous, concurrent, and parallel interaction.
They use a fiber-based concurrency model, with built-in support for
scheduling, fine-grained interruption, structured concurrency, and high
scalability.
To run an Effect value, you need a Runtime, which is a type that is
capable of executing Effect values.
Effect<void>
} = dual<(...args: Array<any>) => any, <A>(self: TxChunk<A>, other: Chunk.Chunk<A>) => Effect.Effect<void>>(arity: 2, body: <A>(self: TxChunk<A>, other: Chunk.Chunk<A>) => Effect.Effect<void>): ((...args: Array<any>) => any) & (<A>(self: TxChunk<A>, other: Chunk.Chunk<A>) => Effect.Effect<void>) (+1 overload)Creates a function that can be called in data-first style or data-last
(pipe-friendly) style.
When to use
Use to expose one implementation through both direct and pipe-friendly
call styles.
Details
Pass either the arity of the uncurried function or a predicate that decides
whether the current call is data-first. Arity is the common case. Use a
predicate when optional arguments make arity ambiguous.
Example (Selecting data-first or data-last style by arity)
import { Function, pipe } from "effect"
const sum = Function.dual<
(that: number) => (self: number) => number,
(self: number, that: number) => number
>(2, (self, that) => self + that)
console.log(sum(2, 3)) // 5
console.log(pipe(2, sum(3))) // 5
Example (Defining overloads with call signatures)
import { Function, pipe } from "effect"
const sum: {
(that: number): (self: number) => number
(self: number, that: number): number
} = Function.dual(2, (self: number, that: number): number => self + that)
console.log(sum(2, 3)) // 5
console.log(pipe(2, sum(3))) // 5
Example (Selecting data-first or data-last style with a predicate)
import { Function, pipe } from "effect"
const sum = Function.dual<
(that: number) => (self: number) => number,
(self: number, that: number) => number
>(
(args) => args.length === 2,
(self, that) => self + that
)
console.log(sum(2, 3)) // 5
console.log(pipe(2, sum(3))) // 5
dual(
2,
<function (type parameter) A in <A>(self: TxChunk<A>, other: Chunk.Chunk<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; <…;
}
self: 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>, other: Chunk.Chunk<A>): Effect.Effect<void>A>, other: Chunk.Chunk<A>(parameter) other: {
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;
}
other: import ChunkChunk.interface Chunk<out A>A Chunk is an immutable, ordered collection optimized for efficient concatenation and access patterns.
Example (Inspecting chunk values)
import { Chunk } from "effect"
const chunk: Chunk.Chunk<number> = Chunk.make(1, 2, 3)
console.log(chunk.length) // 3
console.log(Chunk.toArray(chunk)) // [1, 2, 3]
A namespace containing utility types for Chunk operations.
Example (Working with Chunk utility types)
import type { Chunk } from "effect"
// Extract the element type from a Chunk
declare const chunk: Chunk.Chunk<string>
type ElementType = Chunk.Chunk.Infer<typeof chunk> // string
// Create a preserving non-emptiness
declare const nonEmptyChunk: Chunk.NonEmptyChunk<number>
type WithString = Chunk.Chunk.With<typeof nonEmptyChunk, string> // Chunk.NonEmptyChunk<string>
Chunk<function (type parameter) A in <A>(self: TxChunk<A>, other: Chunk.Chunk<A>): Effect.Effect<void>A>): import EffectEffect.interface Effect<out A, out E = never, out R = never>The Effect interface defines a value that lazily describes a workflow or
job. The workflow requires some context R, and may fail with an error of
type E, or succeed with a value of type A.
When to use
Use when you need to represent a lazy, composable workflow that can require
services, fail with a typed error, or succeed with a typed value.
Details
Effect values model resourceful interaction with the outside world,
including synchronous, asynchronous, concurrent, and parallel interaction.
They use a fiber-based concurrency model, with built-in support for
scheduling, fine-grained interruption, structured concurrency, and high
scalability.
To run an Effect value, you need a Runtime, which is a type that is
capable of executing Effect values.
Effect<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>
}
update(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; <…;
}
self, (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;
}
current) => import ChunkChunk.const prependAll: {
<S extends Chunk<any>, T extends Chunk<any>>(
that: T
): (
self: S
) => Chunk.OrNonEmpty<
S,
T,
Chunk.Infer<S> | Chunk.Infer<T>
>
<A, B>(
self: Chunk<A>,
that: NonEmptyChunk<B>
): NonEmptyChunk<A | B>
<A, B>(
self: NonEmptyChunk<A>,
that: Chunk<B>
): NonEmptyChunk<A | B>
<A, B>(self: Chunk<A>, that: Chunk<B>): Chunk<
A | B
>
}
prependAll(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;
}
current, other: Chunk.Chunk<A>(parameter) other: {
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;
}
other))
)