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replace unicode arrows

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* ⇒, →, ←
* because we don't want to show them in documentation snippets and
  then it's complicated to avoid that when snippets are
  located in src/test/scala in individual modules
* dont replace object `→` in FSM.scala and PersistentFSM.scala
This commit is contained in:
Patrik Nordwall 2019-02-09 15:25:39 +01:00
parent e4d38f92a4
commit 5c96a5f556
1521 changed files with 18846 additions and 18786 deletions
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30
akka-docs/src/test/scala/docs/stream/HubsDocSpec.scala
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@ -61,8 +61,8 @@ class HubsDocSpec extends AkkaSpec with CompileOnlySpec {
val fromProducer: Source[String, NotUsed] = runnableGraph.run()
// Print out messages from the producer in two independent consumers
fromProducer.runForeach(msg ⇒ println("consumer1: " + msg))
fromProducer.runForeach(msg ⇒ println("consumer2: " + msg))
fromProducer.runForeach(msg => println("consumer1: " + msg))
fromProducer.runForeach(msg => println("consumer2: " + msg))
//#broadcast-hub
}
@ -110,7 +110,7 @@ class HubsDocSpec extends AkkaSpec with 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")
.zipWith(Source(1 to 100))((a, b) => s"$a-$b")
// Attach a PartitionHub Sink to the producer. This will materialize to a
// corresponding Source.
@ -118,7 +118,7 @@ class HubsDocSpec extends AkkaSpec with CompileOnlySpec {
// value to the left is used)
val runnableGraph: RunnableGraph[Source[String, NotUsed]] =
producer.toMat(PartitionHub.sink(
(size, elem) ⇒ math.abs(elem.hashCode % size),
(size, elem) => math.abs(elem.hashCode % size),
startAfterNrOfConsumers = 2, bufferSize = 256))(Keep.right)
// By running/materializing the producer, we get back a Source, which
@ -126,8 +126,8 @@ class HubsDocSpec extends AkkaSpec with CompileOnlySpec {
val fromProducer: Source[String, NotUsed] = runnableGraph.run()
// Print out messages from the producer in two independent consumers
fromProducer.runForeach(msg ⇒ println("consumer1: " + msg))
fromProducer.runForeach(msg ⇒ println("consumer2: " + msg))
fromProducer.runForeach(msg => println("consumer1: " + msg))
fromProducer.runForeach(msg => println("consumer2: " + msg))
//#partition-hub
}
@ -135,14 +135,14 @@ class HubsDocSpec extends AkkaSpec with 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")
.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.
def roundRobin(): (PartitionHub.ConsumerInfo, String) ⇒ Long = {
def roundRobin(): (PartitionHub.ConsumerInfo, String) => Long = {
var i = -1L
(info, elem) ⇒ {
(info, elem) => {
i += 1
info.consumerIdByIdx((i % info.size).toInt)
}
@ -154,7 +154,7 @@ class HubsDocSpec extends AkkaSpec with CompileOnlySpec {
// value to the left is used)
val runnableGraph: RunnableGraph[Source[String, NotUsed]] =
producer.toMat(PartitionHub.statefulSink(
() ⇒ roundRobin(),
() => roundRobin(),
startAfterNrOfConsumers = 2, bufferSize = 256))(Keep.right)
// By running/materializing the producer, we get back a Source, which
@ -162,8 +162,8 @@ class HubsDocSpec extends AkkaSpec with CompileOnlySpec {
val fromProducer: Source[String, NotUsed] = runnableGraph.run()
// Print out messages from the producer in two independent consumers
fromProducer.runForeach(msg ⇒ println("consumer1: " + msg))
fromProducer.runForeach(msg ⇒ println("consumer2: " + msg))
fromProducer.runForeach(msg => println("consumer1: " + msg))
fromProducer.runForeach(msg => println("consumer2: " + msg))
//#partition-hub-stateful
}
@ -175,14 +175,14 @@ class HubsDocSpec extends AkkaSpec with CompileOnlySpec {
// 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)),
() => (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.runForeach(msg => println("consumer1: " + msg))
fromProducer.throttle(10, 100.millis)
.runForeach(msg ⇒ println("consumer2: " + msg))
.runForeach(msg => println("consumer2: " + msg))
//#partition-hub-fastest
}