<X, E2, R2>(effect: Effect.Effect<X, E2, R2>): <A, E, R>(
self: Stream<A, E, R>
) => Stream<A, E2 | E, R2 | R>
<A, E, R, X, E2, R2>(
self: Stream<A, E, R>,
effect: Effect.Effect<X, E2, R2>
): Stream<A, E | E2, R | R2>Interrupts the evaluation of this stream when the provided effect completes. The given effect will be forked as part of this stream, and its success will be discarded. This combinator will also interrupt any in-progress element being pulled from upstream.
Details
If the effect completes with a failure before the stream completes, the returned stream will emit that failure.
Example (Interrupting when an effect completes)
import { Console, Deferred, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
const interrupt = yield* Deferred.make<void>()
const stream = Stream.make(1, 2, 3).pipe(
Stream.tap((value) =>
value === 2
? Deferred.succeed(interrupt, void 0)
: Effect.void
),
Stream.interruptWhen(Deferred.await(interrupt))
)
const result = yield* Stream.runCollect(stream)
yield* Console.log(result)
})
Effect.runPromise(program)
// => [1, 2]export const const interruptWhen: {
<X, E2, R2>(effect: Effect.Effect<X, E2, R2>): <
A,
E,
R
>(
self: Stream<A, E, R>
) => Stream<A, E2 | E, R2 | R>
<A, E, R, X, E2, R2>(
self: Stream<A, E, R>,
effect: Effect.Effect<X, E2, R2>
): Stream<A, E | E2, R | R2>
}
Interrupts the evaluation of this stream when the provided effect
completes. The given effect will be forked as part of this stream, and its
success will be discarded. This combinator will also interrupt any
in-progress element being pulled from upstream.
Details
If the effect completes with a failure before the stream completes, the
returned stream will emit that failure.
Example (Interrupting when an effect completes)
import { Console, Deferred, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
const interrupt = yield* Deferred.make<void>()
const stream = Stream.make(1, 2, 3).pipe(
Stream.tap((value) =>
value === 2
? Deferred.succeed(interrupt, void 0)
: Effect.void
),
Stream.interruptWhen(Deferred.await(interrupt))
)
const result = yield* Stream.runCollect(stream)
yield* Console.log(result)
})
Effect.runPromise(program)
// => [1, 2]
interruptWhen: {
<function (type parameter) X in <X, E2, R2>(effect: Effect.Effect<X, E2, R2>): <A, E, R>(self: Stream<A, E, R>) => Stream<A, E2 | E, R2 | R>X, function (type parameter) E2 in <X, E2, R2>(effect: Effect.Effect<X, E2, R2>): <A, E, R>(self: Stream<A, E, R>) => Stream<A, E2 | E, R2 | R>E2, function (type parameter) R2 in <X, E2, R2>(effect: Effect.Effect<X, E2, R2>): <A, E, R>(self: Stream<A, E, R>) => Stream<A, E2 | E, R2 | R>R2>(effect: Effect.Effect<X, E2, R2>(parameter) effect: {
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 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<function (type parameter) X in <X, E2, R2>(effect: Effect.Effect<X, E2, R2>): <A, E, R>(self: Stream<A, E, R>) => Stream<A, E2 | E, R2 | R>X, function (type parameter) E2 in <X, E2, R2>(effect: Effect.Effect<X, E2, R2>): <A, E, R>(self: Stream<A, E, R>) => Stream<A, E2 | E, R2 | R>E2, function (type parameter) R2 in <X, E2, R2>(effect: Effect.Effect<X, E2, R2>): <A, E, R>(self: Stream<A, E, R>) => Stream<A, E2 | E, R2 | R>R2>): <function (type parameter) A in <A, E, R>(self: Stream<A, E, R>): Stream<A, E2 | E, R2 | R>A, function (type parameter) E in <A, E, R>(self: Stream<A, E, R>): Stream<A, E2 | E, R2 | R>E, function (type parameter) R in <A, E, R>(self: Stream<A, E, R>): Stream<A, E2 | E, R2 | R>R>(self: Stream<A, E, R>(parameter) self: {
channel: Channel.Channel<Arr.NonEmptyReadonlyArray<A>, E, void, unknown, unknown, unknown, R>;
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 Stream<out A, out E = never, out R = never>A Stream<A, E, R> describes a program that can emit many A values, fail
with E, and require R.
Details
Streams are pull-based with backpressure and emit chunks to amortize effect
evaluation. They support monadic composition and error handling similar to
Effect, adapted for multiple values.
Example (Creating and consuming streams)
import { Console, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
yield* Stream.make(1, 2, 3).pipe(
Stream.map((n) => n * 2),
Stream.runForEach((n) => Console.log(n))
)
})
Effect.runPromise(program)
// Output:
// 2
// 4
// 6
Stream<function (type parameter) A in <A, E, R>(self: Stream<A, E, R>): Stream<A, E2 | E, R2 | R>A, function (type parameter) E in <A, E, R>(self: Stream<A, E, R>): Stream<A, E2 | E, R2 | R>E, function (type parameter) R in <A, E, R>(self: Stream<A, E, R>): Stream<A, E2 | E, R2 | R>R>) => interface Stream<out A, out E = never, out R = never>A Stream<A, E, R> describes a program that can emit many A values, fail
with E, and require R.
Details
Streams are pull-based with backpressure and emit chunks to amortize effect
evaluation. They support monadic composition and error handling similar to
Effect, adapted for multiple values.
Example (Creating and consuming streams)
import { Console, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
yield* Stream.make(1, 2, 3).pipe(
Stream.map((n) => n * 2),
Stream.runForEach((n) => Console.log(n))
)
})
Effect.runPromise(program)
// Output:
// 2
// 4
// 6
Stream<function (type parameter) A in <A, E, R>(self: Stream<A, E, R>): Stream<A, E2 | E, R2 | R>A, function (type parameter) E2 in <X, E2, R2>(effect: Effect.Effect<X, E2, R2>): <A, E, R>(self: Stream<A, E, R>) => Stream<A, E2 | E, R2 | R>E2 | function (type parameter) E in <A, E, R>(self: Stream<A, E, R>): Stream<A, E2 | E, R2 | R>E, function (type parameter) R2 in <X, E2, R2>(effect: Effect.Effect<X, E2, R2>): <A, E, R>(self: Stream<A, E, R>) => Stream<A, E2 | E, R2 | R>R2 | function (type parameter) R in <A, E, R>(self: Stream<A, E, R>): Stream<A, E2 | E, R2 | R>R>
<function (type parameter) A in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>A, function (type parameter) E in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>E, function (type parameter) R in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>R, function (type parameter) X in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>X, function (type parameter) E2 in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>E2, function (type parameter) R2 in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>R2>(self: Stream<A, E, R>(parameter) self: {
channel: Channel.Channel<Arr.NonEmptyReadonlyArray<A>, E, void, unknown, unknown, unknown, R>;
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 Stream<out A, out E = never, out R = never>A Stream<A, E, R> describes a program that can emit many A values, fail
with E, and require R.
Details
Streams are pull-based with backpressure and emit chunks to amortize effect
evaluation. They support monadic composition and error handling similar to
Effect, adapted for multiple values.
Example (Creating and consuming streams)
import { Console, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
yield* Stream.make(1, 2, 3).pipe(
Stream.map((n) => n * 2),
Stream.runForEach((n) => Console.log(n))
)
})
Effect.runPromise(program)
// Output:
// 2
// 4
// 6
Stream<function (type parameter) A in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>A, function (type parameter) E in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>E, function (type parameter) R in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>R>, effect: Effect.Effect<X, E2, R2>(parameter) effect: {
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 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<function (type parameter) X in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>X, function (type parameter) E2 in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>E2, function (type parameter) R2 in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>R2>): interface Stream<out A, out E = never, out R = never>A Stream<A, E, R> describes a program that can emit many A values, fail
with E, and require R.
Details
Streams are pull-based with backpressure and emit chunks to amortize effect
evaluation. They support monadic composition and error handling similar to
Effect, adapted for multiple values.
Example (Creating and consuming streams)
import { Console, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
yield* Stream.make(1, 2, 3).pipe(
Stream.map((n) => n * 2),
Stream.runForEach((n) => Console.log(n))
)
})
Effect.runPromise(program)
// Output:
// 2
// 4
// 6
Stream<function (type parameter) A in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>A, function (type parameter) E in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>E | function (type parameter) E2 in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>E2, function (type parameter) R in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>R | function (type parameter) R2 in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>R2>
} = dual<(...args: Array<any>) => any, <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>) => Stream<A, E | E2, R | R2>>(arity: 2, body: <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>) => Stream<A, E | E2, R | R2>): ((...args: Array<any>) => any) & (<A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>) => Stream<A, E | E2, R | R2>) (+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, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>A, function (type parameter) E in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>E, function (type parameter) R in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>R, function (type parameter) X in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>X, function (type parameter) E2 in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>E2, function (type parameter) R2 in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>R2>(self: Stream<A, E, R>(parameter) self: {
channel: Channel.Channel<Arr.NonEmptyReadonlyArray<A>, E, void, unknown, unknown, unknown, R>;
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 Stream<out A, out E = never, out R = never>A Stream<A, E, R> describes a program that can emit many A values, fail
with E, and require R.
Details
Streams are pull-based with backpressure and emit chunks to amortize effect
evaluation. They support monadic composition and error handling similar to
Effect, adapted for multiple values.
Example (Creating and consuming streams)
import { Console, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
yield* Stream.make(1, 2, 3).pipe(
Stream.map((n) => n * 2),
Stream.runForEach((n) => Console.log(n))
)
})
Effect.runPromise(program)
// Output:
// 2
// 4
// 6
Stream<function (type parameter) A in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>A, function (type parameter) E in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>E, function (type parameter) R in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>R>, effect: Effect.Effect<X, E2, R2>(parameter) effect: {
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 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<function (type parameter) X in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>X, function (type parameter) E2 in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>E2, function (type parameter) R2 in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>R2>): interface Stream<out A, out E = never, out R = never>A Stream<A, E, R> describes a program that can emit many A values, fail
with E, and require R.
Details
Streams are pull-based with backpressure and emit chunks to amortize effect
evaluation. They support monadic composition and error handling similar to
Effect, adapted for multiple values.
Example (Creating and consuming streams)
import { Console, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
yield* Stream.make(1, 2, 3).pipe(
Stream.map((n) => n * 2),
Stream.runForEach((n) => Console.log(n))
)
})
Effect.runPromise(program)
// Output:
// 2
// 4
// 6
Stream<function (type parameter) A in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>A, function (type parameter) E in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>E | function (type parameter) E2 in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>E2, function (type parameter) R in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>R | function (type parameter) R2 in <A, E, R, X, E2, R2>(self: Stream<A, E, R>, effect: Effect.Effect<X, E2, R2>): Stream<A, E | E2, R | R2>R2> =>
const fromChannel: <
Arr extends Arr.NonEmptyReadonlyArray<any>,
E,
R
>(
channel: Channel.Channel<
Arr,
E,
void,
unknown,
unknown,
unknown,
R
>
) => Stream<
Arr extends Arr.NonEmptyReadonlyArray<infer A>
? A
: never,
E,
R
>
Creates a stream from a array-emitting Channel.
Example (Creating a stream from an array-emitting channel)
import { Channel, Console, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
const channel = Channel.succeed([1, 2, 3] as const)
const stream = Stream.fromChannel(channel)
const result = yield* Stream.runCollect(stream)
yield* Console.log(result)
})
// Output: [ 1, 2, 3 ]
fromChannel(import ChannelChannel.const interruptWhen: {
<OutDone2, OutErr2, Env2>(
effect: Effect.Effect<OutDone2, OutErr2, Env2>
): <
OutElem,
OutErr,
OutDone,
InElem,
InErr,
InDone,
Env
>(
self: Channel<
OutElem,
OutErr,
OutDone,
InElem,
InErr,
InDone,
Env
>
) => Channel<
OutElem,
OutErr | OutErr2,
OutDone | OutDone2,
InElem,
InErr,
InDone,
Env2 | Env
>
<
OutElem,
OutErr,
OutDone,
InElem,
InErr,
InDone,
Env,
OutDone2,
OutErr2,
Env2
>(
self: Channel<
OutElem,
OutErr,
OutDone,
InElem,
InErr,
InDone,
Env
>,
effect: Effect.Effect<OutDone2, OutErr2, Env2>
): Channel<
OutElem,
OutErr | OutErr2,
OutDone | OutDone2,
InElem,
InErr,
InDone,
Env2 | Env
>
}
self: Stream<A, E, R>(parameter) self: {
channel: Channel.Channel<Arr.NonEmptyReadonlyArray<A>, E, void, unknown, unknown, unknown, R>;
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; <…;
}
Stream<A, E, R>.channel: Channel.Channel<Arr.NonEmptyReadonlyArray<A>, E, void, unknown, unknown, unknown, R>(property) Stream<A, E, R>.channel: {
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; <…;
}
effect: Effect.Effect<X, E2, R2>(parameter) effect: {
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;
}