arrow-fx-coroutines / arrow.fx.coroutines / parZip
suspend inline fun <A, B, C> parZip(crossinline fa: suspend CoroutineScope.() -> A, crossinline fb: suspend CoroutineScope.() -> B, crossinline f: suspend CoroutineScope.(A, B) -> C): C
Runs fa, fb in parallel on Dispatchers.Default and combines their results using the provided function.
import arrow.fx.coroutines.*
suspend fun main(): Unit {
//sampleStart
val result = parZip(
{ "First one is on ${Thread.currentThread().name}" },
{ "Second one is on ${Thread.currentThread().name}" }
) { a, b ->
"$a\n$b"
}
//sampleEnd
println(result)
}
fa
- value to parallel map
fb
- value to parallel map
f
- function to map/combine value A and B
See Also
suspend inline fun <A, B, C> parZip(ctx:
CoroutineContext
= EmptyCoroutineContext, crossinline fa: suspend CoroutineScope.() -> A, crossinline fb: suspend CoroutineScope.() -> B, crossinline f: suspend CoroutineScope.(A, B) -> C): C
Runs fa, fb in parallel on ctx and combines their results using the provided function.
Coroutine context is inherited from a CoroutineScope, additional context elements can be specified with ctx argument. If the combined context does not have any dispatcher nor any other ContinuationInterceptor, then Dispatchers.Default is used. WARNING If the combined context has a single threaded ContinuationInterceptor, this function will not run fa, fb in parallel.
import arrow.fx.coroutines.*
import kotlinx.coroutines.Dispatchers
suspend fun main(): Unit {
//sampleStart
val result = parZip(
Dispatchers.IO,
{ "First one is on ${Thread.currentThread().name}" },
{ "Second one is on ${Thread.currentThread().name}" }
) { a, b ->
"$a\n$b"
}
//sampleEnd
println(result)
}
fa
- value to parallel map
fb
- value to parallel map
f
- function to map/combine value A and B
See Also
suspend inline fun <A, B, C, D> parZip(crossinline fa: suspend CoroutineScope.() -> A, crossinline fb: suspend CoroutineScope.() -> B, crossinline fc: suspend CoroutineScope.() -> C, crossinline f: suspend CoroutineScope.(A, B, C) -> D): D
Runs fa, fb, fc in parallel on Dispatchers.Default and combines their results using the provided function.
import arrow.fx.coroutines.*
suspend fun main(): Unit {
//sampleStart
val result = parZip(
{ "First one is on ${Thread.currentThread().name}" },
{ "Second one is on ${Thread.currentThread().name}" },
{ "Third one is on ${Thread.currentThread().name}" }
) { a, b, c ->
"$a\n$b\n$c"
}
//sampleEnd
println(result)
}
fa
- value to parallel map
fb
- value to parallel map
fc
- value to parallel map
f
- function to map/combine value A, B and C
See Also
suspend inline fun <A, B, C, D> parZip(ctx:
CoroutineContext
= EmptyCoroutineContext, crossinline fa: suspend CoroutineScope.() -> A, crossinline fb: suspend CoroutineScope.() -> B, crossinline fc: suspend CoroutineScope.() -> C, crossinline f: suspend CoroutineScope.(A, B, C) -> D): D
Runs fa, fb, fc in parallel on ctx and combines their results using the provided function.
Coroutine context is inherited from a CoroutineScope, additional context elements can be specified with ctx argument. If the combined context does not have any dispatcher nor any other ContinuationInterceptor, then Dispatchers.Default is used. WARNING If the combined context has a single threaded ContinuationInterceptor, this function will not run fa, fb & fc in parallel.
import arrow.fx.coroutines.*
import kotlinx.coroutines.Dispatchers
suspend fun main(): Unit {
//sampleStart
val result = parZip(
Dispatchers.IO,
{ "First one is on ${Thread.currentThread().name}" },
{ "Second one is on ${Thread.currentThread().name}" },
{ "Third one is on ${Thread.currentThread().name}" }
) { a, b, c ->
"$a\n$b\n$c"
}
//sampleEnd
println(result)
}
fa
- value to parallel map
fb
- value to parallel map
fc
- value to parallel map
f
- function to map/combine value A, B and C.
See Also
suspend inline fun <A, B, C, D, E> parZip(crossinline fa: suspend CoroutineScope.() -> A, crossinline fb: suspend CoroutineScope.() -> B, crossinline fc: suspend CoroutineScope.() -> C, crossinline fd: suspend CoroutineScope.() -> D, crossinline f: suspend CoroutineScope.(A, B, C, D) -> E): E
Runs fa, fb, fc, fd in parallel on Dispatchers.Default and combines their results using the provided function.
import arrow.fx.coroutines.*
suspend fun main(): Unit {
//sampleStart
val result = parZip(
{ "First one is on ${Thread.currentThread().name}" },
{ "Second one is on ${Thread.currentThread().name}" },
{ "Third one is on ${Thread.currentThread().name}" },
{ "Fourth one is on ${Thread.currentThread().name}" }
) { a, b, c, d ->
"$a\n$b\n$c\n$d"
}
//sampleEnd
println(result)
}
fa
- value to parallel map
fb
- value to parallel map
fc
- value to parallel map
fd
- value to parallel map
f
- function to map/combine value A, B, C and D
See Also
suspend inline fun <A, B, C, D, E> parZip(ctx:
CoroutineContext
= EmptyCoroutineContext, crossinline fa: suspend CoroutineScope.() -> A, crossinline fb: suspend CoroutineScope.() -> B, crossinline fc: suspend CoroutineScope.() -> C, crossinline fd: suspend CoroutineScope.() -> D, crossinline f: suspend CoroutineScope.(A, B, C, D) -> E): E
Runs fa, fb, fc, fd in parallel on ctx and combines their results using the provided function.
Coroutine context is inherited from a CoroutineScope, additional context elements can be specified with ctx argument. If the combined context does not have any dispatcher nor any other ContinuationInterceptor, then Dispatchers.Default is used. WARNING If the combined context has a single threaded ContinuationInterceptor, this function will not run fa, fb, fc & fd in parallel.
import arrow.fx.coroutines.*
import kotlinx.coroutines.Dispatchers
suspend fun main(): Unit {
//sampleStart
val result = parZip(
Dispatchers.IO,
{ "First one is on ${Thread.currentThread().name}" },
{ "Second one is on ${Thread.currentThread().name}" },
{ "Third one is on ${Thread.currentThread().name}" },
{ "Fourth one is on ${Thread.currentThread().name}" }
) { a, b, c, d ->
"$a\n$b\n$c\n$d"
}
//sampleEnd
println(result)
}
fa
- value to parallel map
fb
- value to parallel map
fc
- value to parallel map
fd
- value to parallel map
f
- function to map/combine value A, B, C and D.
See Also
suspend inline fun <A, B, C, D, E, F> parZip(crossinline fa: suspend CoroutineScope.() -> A, crossinline fb: suspend CoroutineScope.() -> B, crossinline fc: suspend CoroutineScope.() -> C, crossinline fd: suspend CoroutineScope.() -> D, crossinline fe: suspend CoroutineScope.() -> E, crossinline f: suspend CoroutineScope.(A, B, C, D, E) -> F): F
Runs fa, fb, fc, fd, fe in parallel on Dispatchers.Default and combines their results using the provided function.
import arrow.fx.coroutines.*
suspend fun main(): Unit {
//sampleStart
val result = parZip(
{ "First one is on ${Thread.currentThread().name}" },
{ "Second one is on ${Thread.currentThread().name}" },
{ "Third one is on ${Thread.currentThread().name}" },
{ "Fourth one is on ${Thread.currentThread().name}" },
{ "Fifth one is on ${Thread.currentThread().name}" }
) { a, b, c, d, e ->
"$a\n$b\n$c\n$d\n$e"
}
//sampleEnd
println(result)
}
fa
- value to parallel map
fb
- value to parallel map
fc
- value to parallel map
fd
- value to parallel map
fe
- value to parallel map
f
- function to map/combine value A, B, C, D and E
See Also
suspend inline fun <A, B, C, D, E, F> parZip(ctx:
CoroutineContext
= EmptyCoroutineContext, crossinline fa: suspend CoroutineScope.() -> A, crossinline fb: suspend CoroutineScope.() -> B, crossinline fc: suspend CoroutineScope.() -> C, crossinline fd: suspend CoroutineScope.() -> D, crossinline fe: suspend CoroutineScope.() -> E, crossinline f: suspend CoroutineScope.(A, B, C, D, E) -> F): F
Runs fa, fb, fc, fd, fe in parallel on ctx and combines their results using the provided function.
Coroutine context is inherited from a CoroutineScope, additional context elements can be specified with ctx argument. If the combined context does not have any dispatcher nor any other ContinuationInterceptor, then Dispatchers.Default is used. WARNING If the combined context has a single threaded ContinuationInterceptor, this function will not run fa, fb, fc, fd & fe in parallel.
import arrow.fx.coroutines.*
import kotlinx.coroutines.Dispatchers
suspend fun main(): Unit {
//sampleStart
val result = parZip(
Dispatchers.IO,
{ "First one is on ${Thread.currentThread().name}" },
{ "Second one is on ${Thread.currentThread().name}" },
{ "Third one is on ${Thread.currentThread().name}" },
{ "Fourth one is on ${Thread.currentThread().name}" },
{ "Fifth one is on ${Thread.currentThread().name}" }
) { a, b, c, d, e ->
"$a\n$b\n$c\n$d\n$e"
}
//sampleEnd
println(result)
}
fa
- value to parallel map
fb
- value to parallel map
fc
- value to parallel map
fd
- value to parallel map
fe
- value to parallel map
f
- function to map/combine value A, B, C, D, and E.
See Also
suspend inline fun <A, B, C, D, E, F, G> parZip(crossinline fa: suspend CoroutineScope.() -> A, crossinline fb: suspend CoroutineScope.() -> B, crossinline fc: suspend CoroutineScope.() -> C, crossinline fd: suspend CoroutineScope.() -> D, crossinline fe: suspend CoroutineScope.() -> E, crossinline ff: suspend CoroutineScope.() -> F, crossinline f: suspend CoroutineScope.(A, B, C, D, E, F) -> G): G
Runs fa, fb, fc, fd, fe, ff in parallel on Dispatchers.Default and combines their results using the provided function.
import arrow.fx.coroutines.*
suspend fun main(): Unit {
//sampleStart
val result = parZip(
{ "First one is on ${Thread.currentThread().name}" },
{ "Second one is on ${Thread.currentThread().name}" },
{ "Third one is on ${Thread.currentThread().name}" },
{ "Fourth one is on ${Thread.currentThread().name}" },
{ "Fifth one is on ${Thread.currentThread().name}" },
{ "Sixth one is on ${Thread.currentThread().name}" }
) { a, b, c, d, e, f ->
"$a\n$b\n$c\n$d\n$e\n$f"
}
//sampleEnd
println(result)
}
fa
- value to parallel map
fb
- value to parallel map
fc
- value to parallel map
fd
- value to parallel map
fe
- value to parallel map
ff
- value to parallel map
f
- function to map/combine value A, B, C, D, E and F
See Also
suspend inline fun <A, B, C, D, E, F, G> parZip(ctx:
CoroutineContext
= EmptyCoroutineContext, crossinline fa: suspend CoroutineScope.() -> A, crossinline fb: suspend CoroutineScope.() -> B, crossinline fc: suspend CoroutineScope.() -> C, crossinline fd: suspend CoroutineScope.() -> D, crossinline fe: suspend CoroutineScope.() -> E, crossinline ff: suspend CoroutineScope.() -> F, crossinline f: suspend CoroutineScope.(A, B, C, D, E, F) -> G): G
Runs fa, fb, fc, fd, fe, ff in parallel on ctx and combines their results using the provided function.
Coroutine context is inherited from a CoroutineScope, additional context elements can be specified with ctx argument. If the combined context does not have any dispatcher nor any other ContinuationInterceptor, then Dispatchers.Default is used. WARNING If the combined context has a single threaded ContinuationInterceptor, this function will not run fa, fb, fc, fd, fe & ff in parallel.
import arrow.fx.coroutines.*
import kotlinx.coroutines.Dispatchers
suspend fun main(): Unit {
//sampleStart
val result = parZip(
Dispatchers.IO,
{ "First one is on ${Thread.currentThread().name}" },
{ "Second one is on ${Thread.currentThread().name}" },
{ "Third one is on ${Thread.currentThread().name}" },
{ "Fourth one is on ${Thread.currentThread().name}" },
{ "Fifth one is on ${Thread.currentThread().name}" },
{ "Sixth one is on ${Thread.currentThread().name}" }
) { a, b, c, d, e, g ->
"$a\n$b\n$c\n$d\n$e\n$g"
}
//sampleEnd
println(result)
}
fa
- value to parallel map
fb
- value to parallel map
fc
- value to parallel map
fd
- value to parallel map
fe
- value to parallel map
ff
- value to parallel map
f
- function to map/combine value A, B, C, D, E and F
See Also
suspend inline fun <A, B, C, D, E, F, G, H> parZip(crossinline fa: suspend CoroutineScope.() -> A, crossinline fb: suspend CoroutineScope.() -> B, crossinline fc: suspend CoroutineScope.() -> C, crossinline fd: suspend CoroutineScope.() -> D, crossinline fe: suspend CoroutineScope.() -> E, crossinline ff: suspend CoroutineScope.() -> F, crossinline fg: suspend CoroutineScope.() -> G, crossinline f: suspend CoroutineScope.(A, B, C, D, E, F, G) -> H): H
Runs fa, fb, fc, fd, fe, ff, fg in parallel on Dispatchers.Default and combines their results using the provided function.
import arrow.fx.coroutines.*
suspend fun main(): Unit {
//sampleStart
val result = parZip(
{ "First one is on ${Thread.currentThread().name}" },
{ "Second one is on ${Thread.currentThread().name}" },
{ "Third one is on ${Thread.currentThread().name}" },
{ "Fourth one is on ${Thread.currentThread().name}" },
{ "Fifth one is on ${Thread.currentThread().name}" },
{ "Sixth one is on ${Thread.currentThread().name}" },
{ "Seventh one is on ${Thread.currentThread().name}" }
) { a, b, c, d, e, g, h ->
"$a\n$b\n$c\n$d\n$e\n$g\n$h"
}
//sampleEnd
println(result)
}
fa
- value to parallel map
fb
- value to parallel map
fc
- value to parallel map
fd
- value to parallel map
fe
- value to parallel map
ff
- value to parallel map
fg
- value to parallel map
f
- function to map/combine value A, B, C, D, E, F and G
See Also
suspend inline fun <A, B, C, D, E, F, G, H> parZip(ctx:
CoroutineContext
= EmptyCoroutineContext, crossinline fa: suspend CoroutineScope.() -> A, crossinline fb: suspend CoroutineScope.() -> B, crossinline fc: suspend CoroutineScope.() -> C, crossinline fd: suspend CoroutineScope.() -> D, crossinline fe: suspend CoroutineScope.() -> E, crossinline ff: suspend CoroutineScope.() -> F, crossinline fg: suspend CoroutineScope.() -> G, crossinline f: suspend CoroutineScope.(A, B, C, D, E, F, G) -> H): H
Runs fa, fb, fc, fd, fe, ff, fg in parallel on ctx and combines their results using the provided function.
Coroutine context is inherited from a CoroutineScope, additional context elements can be specified with ctx argument. If the combined context does not have any dispatcher nor any other ContinuationInterceptor, then Dispatchers.Default is used. WARNING If the combined context has a single threaded ContinuationInterceptor, this function will not run fa, fb, fc, fd, fe, ff & fg in parallel.
import arrow.fx.coroutines.*
import kotlinx.coroutines.Dispatchers
suspend fun main(): Unit {
//sampleStart
val result = parZip(
Dispatchers.IO,
{ "First one is on ${Thread.currentThread().name}" },
{ "Second one is on ${Thread.currentThread().name}" },
{ "Third one is on ${Thread.currentThread().name}" },
{ "Fourth one is on ${Thread.currentThread().name}" },
{ "Fifth one is on ${Thread.currentThread().name}" },
{ "Sixth one is on ${Thread.currentThread().name}" },
{ "Seventh one is on ${Thread.currentThread().name}" }
) { a, b, c, d, e, f, g ->
"$a\n$b\n$c\n$d\n$e\n$f\n$g"
}
//sampleEnd
println(result)
}
fa
- value to parallel map
fb
- value to parallel map
fc
- value to parallel map
fd
- value to parallel map
fe
- value to parallel map
ff
- value to parallel map
fg
- value to parallel map
f
- function to map/combine value A, B, C, D, E, F and G
See Also
suspend inline fun <A, B, C, D, E, F, G, H, I> parZip(crossinline fa: suspend CoroutineScope.() -> A, crossinline fb: suspend CoroutineScope.() -> B, crossinline fc: suspend CoroutineScope.() -> C, crossinline fd: suspend CoroutineScope.() -> D, crossinline fe: suspend CoroutineScope.() -> E, crossinline ff: suspend CoroutineScope.() -> F, crossinline fg: suspend CoroutineScope.() -> G, crossinline fh: suspend CoroutineScope.() -> H, crossinline f: suspend CoroutineScope.(A, B, C, D, E, F, G, H) -> I): I
Runs fa, fb, fc, fd, fe, ff, fg, fh in parallel on Dispatchers.Default and combines their results using the provided function.
import arrow.fx.coroutines.*
suspend fun main(): Unit {
//sampleStart
val result = parZip(
{ "First one is on ${Thread.currentThread().name}" },
{ "Second one is on ${Thread.currentThread().name}" },
{ "Third one is on ${Thread.currentThread().name}" },
{ "Fourth one is on ${Thread.currentThread().name}" },
{ "Fifth one is on ${Thread.currentThread().name}" },
{ "Sixth one is on ${Thread.currentThread().name}" },
{ "Seventh one is on ${Thread.currentThread().name}" },
{ "Eighth one is on ${Thread.currentThread().name}" }
) { a, b, c, d, e, f, g, h ->
"$a\n$b\n$c\n$d\n$e\n$f\n$g\n$h"
}
//sampleEnd
println(result)
}
fa
- value to parallel map
fb
- value to parallel map
fc
- value to parallel map
fd
- value to parallel map
fe
- value to parallel map
ff
- value to parallel map
fg
- value to parallel map
fh
- value to parallel map
f
- function to map/combine value A, B, C, D, E, F, G and H
See Also
suspend inline fun <A, B, C, D, E, F, G, H, I> parZip(ctx:
CoroutineContext
= EmptyCoroutineContext, crossinline fa: suspend CoroutineScope.() -> A, crossinline fb: suspend CoroutineScope.() -> B, crossinline fc: suspend CoroutineScope.() -> C, crossinline fd: suspend CoroutineScope.() -> D, crossinline fe: suspend CoroutineScope.() -> E, crossinline ff: suspend CoroutineScope.() -> F, crossinline fg: suspend CoroutineScope.() -> G, crossinline fh: suspend CoroutineScope.() -> H, crossinline f: suspend CoroutineScope.(A, B, C, D, E, F, G, H) -> I): I
Runs fa, fb, fc, fd, fe, ff, fg, fh in parallel on ctx and combines their results using the provided function.
Coroutine context is inherited from a CoroutineScope, additional context elements can be specified with ctx argument. If the combined context does not have any dispatcher nor any other ContinuationInterceptor, then Dispatchers.Default is used. WARNING If the combined context has a single threaded ContinuationInterceptor, this function will not run fa, fb, fc, fd, fe, ff & fg in parallel.
import arrow.fx.coroutines.*
import kotlinx.coroutines.Dispatchers
suspend fun main(): Unit {
//sampleStart
val result = parZip(
Dispatchers.IO,
{ "First one is on ${Thread.currentThread().name}" },
{ "Second one is on ${Thread.currentThread().name}" },
{ "Third one is on ${Thread.currentThread().name}" },
{ "Fourth one is on ${Thread.currentThread().name}" },
{ "Fifth one is on ${Thread.currentThread().name}" },
{ "Sixth one is on ${Thread.currentThread().name}" },
{ "Seventh one is on ${Thread.currentThread().name}" }
) { a, b, c, d, e, f, g ->
"$a\n$b\n$c\n$d\n$e\n$f\n$g"
}
//sampleEnd
println(result)
}
fa
- value to parallel map
fb
- value to parallel map
fc
- value to parallel map
fd
- value to parallel map
fe
- value to parallel map
ff
- value to parallel map
fg
- value to parallel map
fh
- value to parallel map
f
- function to map/combine value A, B, C, D, E, F, G and H
See Also
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