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@effect-ts/system

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Effect-TS is a zero dependency set of libraries to write highly productive, purely functional TypeScript at scale.

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// ets_tracing: off import type * as T from "../../../../Effect/index.js" import type * as C from "../core.js" import * as GroupByKey from "./groupByKey.js" import * as MapEffect from "./mapEffect.js" import * as MergeGroupBy from "./mergeGroupBy.js" /** * Maps over elements of the stream with the specified effectful function, * partitioned by `p` executing invocations of `f` concurrently. The number * of concurrent invocations of `f` is determined by the number of different * outputs of type `K`. Up to `buffer` elements may be buffered per partition. * Transformed elements may be reordered but the order within a partition is maintained. */ export function mapEffectPartitioned_<R, R1, E, E1, A, A1, K>( self: C.Stream<R, E, A>, keyBy: (a: A) => K, f: (a: A) => T.Effect<R1, E1, A1>, buffer = 16 ): C.Stream<R & R1, E | E1, A1> { return MergeGroupBy.mergeGroupBy_( GroupByKey.groupByKey_(self, keyBy, buffer), (_, s) => MapEffect.mapEffect_(s, f) ) } /** * Maps over elements of the stream with the specified effectful function, * partitioned by `p` executing invocations of `f` concurrently. The number * of concurrent invocations of `f` is determined by the number of different * outputs of type `K`. Up to `buffer` elements may be buffered per partition. * Transformed elements may be reordered but the order within a partition is maintained. * * @ets_data_first mapEffectPartitioned_ */ export function mapEffectPartitioned<R1, E1, A, A1, K>( keyBy: (a: A) => K, f: (a: A) => T.Effect<R1, E1, A1>, buffer = 16 ) { return <R, E>(self: C.Stream<R, E, A>) => mapEffectPartitioned_(self, keyBy, f, buffer) }