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format source with scalafmt

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Auto Format 2019-03-11 10:38:24 +01:00 • committed by Patrik Nordwall
parent 0f40491d42
commit ce404e4f53
1669 changed files with 43208 additions and 35404 deletions
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40
akka-docs/src/test/scala/docs/stream/HubsDocSpec.scala
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@ -72,9 +72,7 @@ class HubsDocSpec extends AkkaSpec with CompileOnlySpec {
//#pub-sub-1
// Obtain a Sink and Source which will publish and receive from the "bus" respectively.
val (sink, source) =
MergeHub.source[String](perProducerBufferSize = 16)
.toMat(BroadcastHub.sink(bufferSize = 256))(Keep.both)
.run()
MergeHub.source[String](perProducerBufferSize = 16).toMat(BroadcastHub.sink(bufferSize = 256))(Keep.both).run()
//#pub-sub-1
//#pub-sub-2
@ -89,17 +87,15 @@ class HubsDocSpec extends AkkaSpec with CompileOnlySpec {
// started stream as its "topic". We add two more features, external cancellation of
// the registration and automatic cleanup for very slow subscribers.
val busFlow: Flow[String, String, UniqueKillSwitch] =
Flow.fromSinkAndSource(sink, source)
Flow
.fromSinkAndSource(sink, source)
.joinMat(KillSwitches.singleBidi[String, String])(Keep.right)
.backpressureTimeout(3.seconds)
//#pub-sub-3
//#pub-sub-4
val switch: UniqueKillSwitch =
Source.repeat("Hello world!")
.viaMat(busFlow)(Keep.right)
.to(Sink.foreach(println))
.run()
Source.repeat("Hello world!").viaMat(busFlow)(Keep.right).to(Sink.foreach(println)).run()
// Shut down externally
switch.shutdown()
@ -109,17 +105,17 @@ class HubsDocSpec extends AkkaSpec with CompileOnlySpec {
"demonstrate creating a dynamic partition hub" in compileOnlySpec {
//#partition-hub
// A simple producer that publishes a new "message-" every second
val producer = Source.tick(1.second, 1.second, "message")
.zipWith(Source(1 to 100))((a, b) => s"$a-$b")
val producer = Source.tick(1.second, 1.second, "message").zipWith(Source(1 to 100))((a, b) => s"$a-$b")
// Attach a PartitionHub Sink to the producer. This will materialize to a
// corresponding Source.
// (We need to use toMat and Keep.right since by default the materialized
// value to the left is used)
val runnableGraph: RunnableGraph[Source[String, NotUsed]] =
producer.toMat(PartitionHub.sink(
(size, elem) => math.abs(elem.hashCode % size),
startAfterNrOfConsumers = 2, bufferSize = 256))(Keep.right)
producer.toMat(
PartitionHub.sink((size, elem) => math.abs(elem.hashCode % size),
startAfterNrOfConsumers = 2,
bufferSize = 256))(Keep.right)
// By running/materializing the producer, we get back a Source, which
// gives us access to the elements published by the producer.
@ -134,8 +130,7 @@ class HubsDocSpec extends AkkaSpec with CompileOnlySpec {
"demonstrate creating a dynamic stateful partition hub" in compileOnlySpec {
//#partition-hub-stateful
// A simple producer that publishes a new "message-" every second
val producer = Source.tick(1.second, 1.second, "message")
.zipWith(Source(1 to 100))((a, b) => s"$a-$b")
val producer = Source.tick(1.second, 1.second, "message").zipWith(Source(1 to 100))((a, b) => s"$a-$b")
// New instance of the partitioner function and its state is created
// for each materialization of the PartitionHub.
@ -153,9 +148,8 @@ class HubsDocSpec extends AkkaSpec with CompileOnlySpec {
// (We need to use toMat and Keep.right since by default the materialized
// value to the left is used)
val runnableGraph: RunnableGraph[Source[String, NotUsed]] =
producer.toMat(PartitionHub.statefulSink(
() => roundRobin(),
startAfterNrOfConsumers = 2, bufferSize = 256))(Keep.right)
producer.toMat(PartitionHub.statefulSink(() => roundRobin(), startAfterNrOfConsumers = 2, bufferSize = 256))(
Keep.right)
// By running/materializing the producer, we get back a Source, which
// gives us access to the elements published by the producer.
@ -174,15 +168,15 @@ class HubsDocSpec extends AkkaSpec with CompileOnlySpec {
// ConsumerInfo.queueSize is the approximate number of buffered elements for a consumer.
// Note that this is a moving target since the elements are consumed concurrently.
val runnableGraph: RunnableGraph[Source[Int, NotUsed]] =
producer.toMat(PartitionHub.statefulSink(
() => (info, elem) => info.consumerIds.minBy(id => info.queueSize(id)),
startAfterNrOfConsumers = 2, bufferSize = 16))(Keep.right)
producer.toMat(
PartitionHub.statefulSink(() => (info, elem) => info.consumerIds.minBy(id => info.queueSize(id)),
startAfterNrOfConsumers = 2,
bufferSize = 16))(Keep.right)
val fromProducer: Source[Int, NotUsed] = runnableGraph.run()
fromProducer.runForeach(msg => println("consumer1: " + msg))
fromProducer.throttle(10, 100.millis)
.runForeach(msg => println("consumer2: " + msg))
fromProducer.throttle(10, 100.millis).runForeach(msg => println("consumer2: " + msg))
//#partition-hub-fastest
}