<Key, A>(key: Key, f: Predicate.Predicate<A>): <E, R>(
self: ScopedCache<Key, A, E, R>
) => Effect.Effect<boolean>
<Key, A, E, R>(
self: ScopedCache<Key, A, E, R>,
key: Key,
f: Predicate.Predicate<A>
): Effect.Effect<boolean>Invalidates the entry associated with the specified key in the cache when the predicate returns true for the cached value.
When to use
Use to remove an already-cached scoped value only when the successful cached value satisfies a predicate.
Details
Returns true only when a successful cached value matches and is removed. It
returns false for absent, expired, failed, or non-matching entries.
Gotchas
A matching invalidation closes the entry scope and releases its resources.
export const const invalidateWhen: {
<Key, A>(key: Key, f: Predicate.Predicate<A>): <
E,
R
>(
self: ScopedCache<Key, A, E, R>
) => Effect.Effect<boolean>
<Key, A, E, R>(
self: ScopedCache<Key, A, E, R>,
key: Key,
f: Predicate.Predicate<A>
): Effect.Effect<boolean>
}
Invalidates the entry associated with the specified key in the cache when the
predicate returns true for the cached value.
When to use
Use to remove an already-cached scoped value only when the successful cached
value satisfies a predicate.
Details
Returns true only when a successful cached value matches and is removed. It
returns false for absent, expired, failed, or non-matching entries.
Gotchas
A matching invalidation closes the entry scope and releases its resources.
invalidateWhen: {
<function (type parameter) Key in <Key, A>(key: Key, f: Predicate.Predicate<A>): <E, R>(self: ScopedCache<Key, A, E, R>) => Effect.Effect<boolean>Key, function (type parameter) A in <Key, A>(key: Key, f: Predicate.Predicate<A>): <E, R>(self: ScopedCache<Key, A, E, R>) => Effect.Effect<boolean>A>(key: Keykey: function (type parameter) Key in <Key, A>(key: Key, f: Predicate.Predicate<A>): <E, R>(self: ScopedCache<Key, A, E, R>) => Effect.Effect<boolean>Key, f: Predicate.Predicate<A>f: import PredicatePredicate.interface Predicate<in A>A function that decides whether a value of type A satisfies a condition.
When to use
Use when you want a reusable boolean check for A, especially when you plan
to combine checks with
and
/
or
or pass a predicate to arrays
and iterables.
Details
A predicate returns true or false and never throws by itself. It does not
narrow types unless you use Refinement.
Example (Defining a predicate)
import { Predicate } from "effect"
const isPositive: Predicate.Predicate<number> = (n) => n > 0
console.log(isPositive(1))
Type-level utilities for working with
Predicate
types.
When to use
Use when you need to extract input types from predicate signatures while
writing generic helpers over predicate types.
Details
These utilities are type-only, create no runtime values, and the namespace is
erased at runtime.
Example (Extracting predicate input)
import { Predicate } from "effect"
type IsString = Predicate.Predicate<string>
type Input = Predicate.Predicate.In<IsString>
Predicate<function (type parameter) A in <Key, A>(key: Key, f: Predicate.Predicate<A>): <E, R>(self: ScopedCache<Key, A, E, R>) => Effect.Effect<boolean>A>): <function (type parameter) E in <E, R>(self: ScopedCache<Key, A, E, R>): Effect.Effect<boolean>E, function (type parameter) R in <E, R>(self: ScopedCache<Key, A, E, R>): Effect.Effect<boolean>R>(self: ScopedCache<Key, A, E, R>(parameter) self: {
state: State<Key, A, E>;
capacity: number;
lookup: (key: Key) => Effect.Effect<A, E, R | Scope.Scope>;
timeToLive: (exit: Exit.Exit<A, E>, key: Key) => Duration.Duration;
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 ScopedCache<in out Key, in out A, in out E = never, out R = never>A scoped cache whose values are acquired by a lookup effect and stored in
per-entry scopes.
When to use
Use to cache values that acquire scoped resources and must release those
resources when entries expire, are evicted, or are invalidated.
Details
Concurrent requests for the same key share the same in-flight lookup.
Entries can expire based on the lookup exit, are evicted when capacity is
exceeded, and release their entry scopes when invalidated, evicted, expired,
or when the cache's owning scope closes.
ScopedCache<function (type parameter) Key in <Key, A>(key: Key, f: Predicate.Predicate<A>): <E, R>(self: ScopedCache<Key, A, E, R>) => Effect.Effect<boolean>Key, function (type parameter) A in <Key, A>(key: Key, f: Predicate.Predicate<A>): <E, R>(self: ScopedCache<Key, A, E, R>) => Effect.Effect<boolean>A, function (type parameter) E in <E, R>(self: ScopedCache<Key, A, E, R>): Effect.Effect<boolean>E, function (type parameter) R in <E, R>(self: ScopedCache<Key, A, E, R>): Effect.Effect<boolean>R>) => 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<boolean>
<function (type parameter) Key in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>Key, function (type parameter) A in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>A, function (type parameter) E in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>E, function (type parameter) R in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>R>(self: ScopedCache<Key, A, E, R>(parameter) self: {
state: State<Key, A, E>;
capacity: number;
lookup: (key: Key) => Effect.Effect<A, E, R | Scope.Scope>;
timeToLive: (exit: Exit.Exit<A, E>, key: Key) => Duration.Duration;
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 ScopedCache<in out Key, in out A, in out E = never, out R = never>A scoped cache whose values are acquired by a lookup effect and stored in
per-entry scopes.
When to use
Use to cache values that acquire scoped resources and must release those
resources when entries expire, are evicted, or are invalidated.
Details
Concurrent requests for the same key share the same in-flight lookup.
Entries can expire based on the lookup exit, are evicted when capacity is
exceeded, and release their entry scopes when invalidated, evicted, expired,
or when the cache's owning scope closes.
ScopedCache<function (type parameter) Key in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>Key, function (type parameter) A in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>A, function (type parameter) E in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>E, function (type parameter) R in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>R>, key: Keykey: function (type parameter) Key in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>Key, f: Predicate.Predicate<A>f: import PredicatePredicate.interface Predicate<in A>A function that decides whether a value of type A satisfies a condition.
When to use
Use when you want a reusable boolean check for A, especially when you plan
to combine checks with
and
/
or
or pass a predicate to arrays
and iterables.
Details
A predicate returns true or false and never throws by itself. It does not
narrow types unless you use Refinement.
Example (Defining a predicate)
import { Predicate } from "effect"
const isPositive: Predicate.Predicate<number> = (n) => n > 0
console.log(isPositive(1))
Type-level utilities for working with
Predicate
types.
When to use
Use when you need to extract input types from predicate signatures while
writing generic helpers over predicate types.
Details
These utilities are type-only, create no runtime values, and the namespace is
erased at runtime.
Example (Extracting predicate input)
import { Predicate } from "effect"
type IsString = Predicate.Predicate<string>
type Input = Predicate.Predicate.In<IsString>
Predicate<function (type parameter) A in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>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<boolean>
} = dual<(...args: Array<any>) => any, <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>) => Effect.Effect<boolean>>(arity: 3, body: <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>) => Effect.Effect<boolean>): ((...args: Array<any>) => any) & (<Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>) => Effect.Effect<boolean>) (+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(
3,
<function (type parameter) Key in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>Key, function (type parameter) A in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>A, function (type parameter) E in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>E, function (type parameter) R in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>R>(self: ScopedCache<Key, A, E, R>(parameter) self: {
state: State<Key, A, E>;
capacity: number;
lookup: (key: Key) => Effect.Effect<A, E, R | Scope.Scope>;
timeToLive: (exit: Exit.Exit<A, E>, key: Key) => Duration.Duration;
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 ScopedCache<in out Key, in out A, in out E = never, out R = never>A scoped cache whose values are acquired by a lookup effect and stored in
per-entry scopes.
When to use
Use to cache values that acquire scoped resources and must release those
resources when entries expire, are evicted, or are invalidated.
Details
Concurrent requests for the same key share the same in-flight lookup.
Entries can expire based on the lookup exit, are evicted when capacity is
exceeded, and release their entry scopes when invalidated, evicted, expired,
or when the cache's owning scope closes.
ScopedCache<function (type parameter) Key in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>Key, function (type parameter) A in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>A, function (type parameter) E in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>E, function (type parameter) R in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>R>, key: Keykey: function (type parameter) Key in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>Key, f: Predicate.Predicate<A>f: import PredicatePredicate.interface Predicate<in A>A function that decides whether a value of type A satisfies a condition.
When to use
Use when you want a reusable boolean check for A, especially when you plan
to combine checks with
and
/
or
or pass a predicate to arrays
and iterables.
Details
A predicate returns true or false and never throws by itself. It does not
narrow types unless you use Refinement.
Example (Defining a predicate)
import { Predicate } from "effect"
const isPositive: Predicate.Predicate<number> = (n) => n > 0
console.log(isPositive(1))
Type-level utilities for working with
Predicate
types.
When to use
Use when you need to extract input types from predicate signatures while
writing generic helpers over predicate types.
Details
These utilities are type-only, create no runtime values, and the namespace is
erased at runtime.
Example (Extracting predicate input)
import { Predicate } from "effect"
type IsString = Predicate.Predicate<string>
type Input = Predicate.Predicate.In<IsString>
Predicate<function (type parameter) A in <Key, A, E, R>(self: ScopedCache<Key, A, E, R>, key: Key, f: Predicate.Predicate<A>): Effect.Effect<boolean>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<boolean> =>
import effecteffect.const uninterruptibleMask: <A, E, R>(
f: (
restore: <A, E, R>(
effect: Effect.Effect<A, E, R>
) => Effect.Effect<A, E, R>
) => Effect.Effect<A, E, R>
) => Effect.Effect<A, E, R>
uninterruptibleMask((restore: <A, E, R>(
effect: Effect.Effect<A, E, R>
) => Effect.Effect<A, E, R>
restore) =>
import corecore.const withFiber: <
A,
E = never,
R = never
>(
evaluate: (
fiber: FiberImpl<unknown, unknown>
) => Effect.Effect<A, E, R>
) => Effect.Effect<A, E, R>
withFiber((fiber: effect.FiberImpl<unknown, unknown>(parameter) fiber: {
id: number;
interruptible: boolean;
currentOpCount: number;
currentLoopCount: number;
_stack: Array<Primitive>;
_observers: Array<(exit: Exit.Exit<A, E>) => void>;
_exit: Exit.Exit<A, E> | undefined;
_currentExit: Exit.Exit<A, E> | undefined;
_children: Set<FiberImpl<any, any>> | undefined;
_interruptedCause: Cause.Cause<never> | undefined;
_yielded: Exit.Exit<any, any> | (() => void) | undefined;
context: Context.Context<never>;
currentScheduler: Scheduler.Scheduler;
currentTracerContext: Tracer.Tracer["context"];
currentSpan: Tracer.AnySpan | undefined;
currentLogLevel: LogLevel.LogLevel;
minimumLogLevel: LogLevel.LogLevel;
currentStackFrame: StackFrame | undefined;
runtimeMetrics: Metric.FiberRuntimeMetricsService | undefined;
maxOpsBeforeYield: number;
currentPreventYield: boolean;
_dispatcher: Scheduler.SchedulerDispatcher | undefined;
currentDispatcher: SchedulerDispatcher;
getRef: <X>(ref: Context.Reference<X>) => X;
addObserver: (cb: (exit: Exit.Exit<unknown, unknown>) => void) => () => void;
interruptUnsafe: (fiberId?: number | undefined, annotations?: Context.Context<never> | undefined) => void;
pollUnsafe: () => Exit.Exit<unknown, unknown> | undefined;
evaluate: (effect: core.Primitive) => void;
runLoop: (effect: core.Primitive) => typeof core.Yield | Exit.Exit<unknown, unknown>;
getCont: <S extends core.contA | core.contE>(symbol: S) => (core.Primitive & Record<S, (value: any, fiber: effect.FiberImpl) => core.Primitive>) | undefined;
yieldWith: (value: Exit.Exit<any, any> | (() => void)) => core.Yield;
children: () => Set<Fiber.Fiber<any, any>>;
pipe: () => unknown;
setContext: (context: Context.Context<never>) => void;
currentSpanLocal: Span | undefined;
}
fiber) =>
import effecteffect.const flatMap: {
<A, B, E2, R2>(
f: (a: A) => Effect.Effect<B, E2, R2>
): <E, R>(
self: Effect.Effect<A, E, R>
) => Effect.Effect<B, E | E2, R | R2>
<A, E, R, B, E2, R2>(
self: Effect.Effect<A, E, R>,
f: (a: A) => Effect.Effect<B, E2, R2>
): Effect.Effect<B, E | E2, R | R2>
}
flatMap(const getImpl: <Key, A, E, R>(
self: ScopedCache<Key, A, E, R>,
key: Key,
fiber: Fiber.Fiber<any, any>,
isRead?: boolean
) => Effect.Effect<Entry<A, E> | undefined>
getImpl(self: ScopedCache<Key, A, E, R>(parameter) self: {
state: State<Key, A, E>;
capacity: number;
lookup: (key: Key) => Effect.Effect<A, E, R | Scope.Scope>;
timeToLive: (exit: Exit.Exit<A, E>, key: Key) => Duration.Duration;
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, key: Keykey, fiber: effect.FiberImpl<unknown, unknown>(parameter) fiber: {
id: number;
interruptible: boolean;
currentOpCount: number;
currentLoopCount: number;
_stack: Array<Primitive>;
_observers: Array<(exit: Exit.Exit<A, E>) => void>;
_exit: Exit.Exit<A, E> | undefined;
_currentExit: Exit.Exit<A, E> | undefined;
_children: Set<FiberImpl<any, any>> | undefined;
_interruptedCause: Cause.Cause<never> | undefined;
_yielded: Exit.Exit<any, any> | (() => void) | undefined;
context: Context.Context<never>;
currentScheduler: Scheduler.Scheduler;
currentTracerContext: Tracer.Tracer["context"];
currentSpan: Tracer.AnySpan | undefined;
currentLogLevel: LogLevel.LogLevel;
minimumLogLevel: LogLevel.LogLevel;
currentStackFrame: StackFrame | undefined;
runtimeMetrics: Metric.FiberRuntimeMetricsService | undefined;
maxOpsBeforeYield: number;
currentPreventYield: boolean;
_dispatcher: Scheduler.SchedulerDispatcher | undefined;
currentDispatcher: SchedulerDispatcher;
getRef: <X>(ref: Context.Reference<X>) => X;
addObserver: (cb: (exit: Exit.Exit<unknown, unknown>) => void) => () => void;
interruptUnsafe: (fiberId?: number | undefined, annotations?: Context.Context<never> | undefined) => void;
pollUnsafe: () => Exit.Exit<unknown, unknown> | undefined;
evaluate: (effect: core.Primitive) => void;
runLoop: (effect: core.Primitive) => typeof core.Yield | Exit.Exit<unknown, unknown>;
getCont: <S extends core.contA | core.contE>(symbol: S) => (core.Primitive & Record<S, (value: any, fiber: effect.FiberImpl) => core.Primitive>) | undefined;
yieldWith: (value: Exit.Exit<any, any> | (() => void)) => core.Yield;
children: () => Set<Fiber.Fiber<any, any>>;
pipe: () => unknown;
setContext: (context: Context.Context<never>) => void;
currentSpanLocal: Span | undefined;
}
fiber, false), (entry: Entry<A, E> | undefinedentry) => {
if (entry: Entry<A, E> | undefinedentry === var undefinedundefined) {
return import effecteffect.const succeed: <A>(
value: A
) => Effect.Effect<A>
succeed(false)
}
return restore: <A, E, R>(
effect: Effect.Effect<A, E, R>
) => Effect.Effect<A, E, R>
restore(import DeferredDeferred.await<A, E>(self: Deferred<A, E>): Effect<A, E>Retrieves the value of the Deferred, suspending the fiber running the
workflow until the result is available.
When to use
Use to wait for a Deferred to be completed and resume with its success,
failure, defect, or interruption.
Details
Awaiters observe the completion effect stored in the Deferred.
Example (Awaiting a Deferred value)
import { Deferred, Effect } from "effect"
const program = Effect.gen(function*() {
const deferred = yield* Deferred.make<number>()
yield* Deferred.succeed(deferred, 42)
const value = yield* Deferred.await(deferred)
console.log(value) // 42
})
await(entry: Entry<A, E>(parameter) entry: {
expiresAt: number | undefined;
deferred: Deferred.Deferred<A, E>;
scope: Scope.Closeable;
}
entry.Entry<A, E>.deferred: Deferred.Deferred<A, E>(property) Entry<A, E>.deferred: {
effect: Effect<A, E>;
resumes: Array<(effect: Effect<A, E>) => void> | undefined;
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; <…;
}
deferred)).Pipeable.pipe<Effect.Effect<A, E, never>, Effect.Effect<boolean, E, never>, Effect.Effect<boolean, never, never>>(this: Effect.Effect<A, E, never>, ab: (_: Effect.Effect<A, E, never>) => Effect.Effect<boolean, E, never>, bc: (_: Effect.Effect<boolean, E, never>) => Effect.Effect<boolean, never, never>): Effect.Effect<boolean, never, never> (+21 overloads)pipe(
import effecteffect.const flatMap: {
<A, B, E2, R2>(
f: (a: A) => Effect.Effect<B, E2, R2>
): <E, R>(
self: Effect.Effect<A, E, R>
) => Effect.Effect<B, E | E2, R | R2>
<A, E, R, B, E2, R2>(
self: Effect.Effect<A, E, R>,
f: (a: A) => Effect.Effect<B, E2, R2>
): Effect.Effect<B, E | E2, R | R2>
}
flatMap((value: Avalue) => {
if (self: ScopedCache<Key, A, E, R>(parameter) self: {
state: State<Key, A, E>;
capacity: number;
lookup: (key: Key) => Effect.Effect<A, E, R | Scope.Scope>;
timeToLive: (exit: Exit.Exit<A, E>, key: Key) => Duration.Duration;
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.ScopedCache<Key, A, E, R>.state: State<Key, A, E>state._tag: "Open" | "Closed"_tag === "Closed") {
return import effecteffect.const succeed: <A>(
value: A
) => Effect.Effect<A>
succeed(false)
} else if (f: Predicate.Predicate<A>f(value: Avalue)) {
import MutableHashMapMutableHashMap.const remove: {
<K>(key: K): <V>(
self: MutableHashMap<K, V>
) => MutableHashMap<K, V>
<K, V>(
self: MutableHashMap<K, V>,
key: K
): MutableHashMap<K, V>
}
remove(self: ScopedCache<Key, A, E, R>(parameter) self: {
state: State<Key, A, E>;
capacity: number;
lookup: (key: Key) => Effect.Effect<A, E, R | Scope.Scope>;
timeToLive: (exit: Exit.Exit<A, E>, key: Key) => Duration.Duration;
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.ScopedCache<Key, A, E, R>.state: State<Key, A, E>state.map: MutableHashMap.MutableHashMap<
K,
Entry<A, E>
>
(property) map: {
backing: Map<K, V>;
buckets: Map<number, NonEmptyArray<K>>;
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;
}
map, key: Keykey)
return import effecteffect.const as: {
<A, B>(value: B): <E, R>(
self: Effect.Effect<A, E, R>
) => Effect.Effect<B, E, R>
<A, E, R, B>(
self: Effect.Effect<A, E, R>,
value: B
): Effect.Effect<B, E, R>
}
as(import ScopeScope.const close: <A, E>(
self: Scope,
exit: Exit<A, E>
) => Effect<void>
Closes a scope and runs its registered finalizers.
When to use
Use to close a scope manually with a specific exit value.
Details
Finalizers run in the scope's configured order and receive the supplied
Exit.
Example (Running scope finalizers)
import { Console, Effect, Exit, Scope } from "effect"
const resourceManagement = Effect.gen(function*() {
const scope = yield* Scope.make("sequential")
// Add multiple finalizers
yield* Scope.addFinalizer(scope, Console.log("Close database connection"))
yield* Scope.addFinalizer(scope, Console.log("Close file handle"))
yield* Scope.addFinalizer(scope, Console.log("Release memory"))
// Do some work...
yield* Console.log("Performing operations...")
// Close scope - finalizers run in reverse order of registration
yield* Scope.close(scope, Exit.succeed("Success!"))
// Output: "Release memory", "Close file handle", "Close database connection"
})
close(entry: Entry<A, E>(parameter) entry: {
expiresAt: number | undefined;
deferred: Deferred.Deferred<A, E>;
scope: Scope.Closeable;
}
entry.Entry<A, E>.scope: Scope.Closeable(property) Entry<A, E>.scope: {
strategy: "sequential" | "parallel";
state: State.Open | State.Closed | State.Empty;
}
scope, import effecteffect.const exitVoid: Exit.Exit<void>exitVoid), true)
}
return import effecteffect.const succeed: <A>(
value: A
) => Effect.Effect<A>
succeed(false)
}),
import effecteffect.const catch_: {
<E, B, E2, R2>(
f: (e: NoInfer<E>) => Effect.Effect<B, E2, R2>
): <A, R>(
self: Effect.Effect<A, E, R>
) => Effect.Effect<A | B, E2, R | R2>
<A, E, R, B, E2, R2>(
self: Effect.Effect<A, E, R>,
f: (e: NoInfer<E>) => Effect.Effect<B, E2, R2>
): Effect.Effect<A | B, E2, R | R2>
}
catch_(() => import effecteffect.const succeed: <A>(
value: A
) => Effect.Effect<A>
succeed(false))
)
})
)
)
)