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consistent wording; stream ops are "operators" (#25064)

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Konrad `ktoso` Malawski 2018-05-09 16:50:32 +02:00 • committed by GitHub
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22
akka-stream/src/main/scala/akka/stream/javadsl/SubFlow.scala
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@ -25,7 +25,7 @@ import scala.reflect.ClassTag
object SubFlow {
/**
* Upcast a stream of elements to a stream of supertypes of that element. Useful in combination with
* fan-in combinators where you do not want to pay the cost of casting each element in a `map`.
* fan-in operators where you do not want to pay the cost of casting each element in a `map`.
*
* @tparam SuperOut a supertype to the type of element flowing out of the flow
* @return A flow that accepts `In` and outputs elements of the super type
@ -1697,7 +1697,7 @@ class SubFlow[In, Out, Mat](delegate: scaladsl.SubFlow[Out, Mat, scaladsl.Flow[I
/**
* Sends elements downstream with speed limited to `elements/per`. In other words, this stage set the maximum rate
* for emitting messages. This combinator works for streams where all elements have the same cost or length.
* for emitting messages. This operator works for streams where all elements have the same cost or length.
*
* Throttle implements the token bucket model. There is a bucket with a given token capacity (burst size).
* Tokens drops into the bucket at a given rate and can be `spared` for later use up to bucket capacity
@ -1730,7 +1730,7 @@ class SubFlow[In, Out, Mat](delegate: scaladsl.SubFlow[Out, Mat, scaladsl.Flow[I
/**
* Sends elements downstream with speed limited to `elements/per`. In other words, this stage set the maximum rate
* for emitting messages. This combinator works for streams where all elements have the same cost or length.
* for emitting messages. This operator works for streams where all elements have the same cost or length.
*
* Throttle implements the token bucket model. There is a bucket with a given token capacity (burst size or maximumBurst).
* Tokens drops into the bucket at a given rate and can be `spared` for later use up to bucket capacity
@ -1772,7 +1772,7 @@ class SubFlow[In, Out, Mat](delegate: scaladsl.SubFlow[Out, Mat, scaladsl.Flow[I
/**
* Sends elements downstream with speed limited to `elements/per`. In other words, this stage set the maximum rate
* for emitting messages. This combinator works for streams where all elements have the same cost or length.
* for emitting messages. This operator works for streams where all elements have the same cost or length.
*
* Throttle implements the token bucket model. There is a bucket with a given token capacity (burst size or maximumBurst).
* Tokens drops into the bucket at a given rate and can be `spared` for later use up to bucket capacity
@ -1813,7 +1813,7 @@ class SubFlow[In, Out, Mat](delegate: scaladsl.SubFlow[Out, Mat, scaladsl.Flow[I
/**
* Sends elements downstream with speed limited to `cost/per`. Cost is
* calculating for each element individually by calling `calculateCost` function.
* This combinator works for streams when elements have different cost(length).
* This operator works for streams when elements have different cost(length).
* Streams of `ByteString` for example.
*
* Throttle implements the token bucket model. There is a bucket with a given token capacity (burst size).
@ -1849,7 +1849,7 @@ class SubFlow[In, Out, Mat](delegate: scaladsl.SubFlow[Out, Mat, scaladsl.Flow[I
/**
* Sends elements downstream with speed limited to `cost/per`. Cost is
* calculating for each element individually by calling `calculateCost` function.
* This combinator works for streams when elements have different cost(length).
* This operator works for streams when elements have different cost(length).
* Streams of `ByteString` for example.
*
* Throttle implements the token bucket model. There is a bucket with a given token capacity (burst size or maximumBurst).
@ -1894,7 +1894,7 @@ class SubFlow[In, Out, Mat](delegate: scaladsl.SubFlow[Out, Mat, scaladsl.Flow[I
/**
* Sends elements downstream with speed limited to `cost/per`. Cost is
* calculating for each element individually by calling `calculateCost` function.
* This combinator works for streams when elements have different cost(length).
* This operator works for streams when elements have different cost(length).
* Streams of `ByteString` for example.
*
* Throttle implements the token bucket model. There is a bucket with a given token capacity (burst size or maximumBurst).
@ -1937,7 +1937,7 @@ class SubFlow[In, Out, Mat](delegate: scaladsl.SubFlow[Out, Mat, scaladsl.Flow[I
/**
* This is a simplified version of throttle that spreads events evenly across the given time interval.
*
* Use this combinator when you need just slow down a stream without worrying about exact amount
* Use this operator when you need just slow down a stream without worrying about exact amount
* of time between events.
*
* If you want to be sure that no time interval has no more than specified number of events you need to use
@ -1952,7 +1952,7 @@ class SubFlow[In, Out, Mat](delegate: scaladsl.SubFlow[Out, Mat, scaladsl.Flow[I
/**
* This is a simplified version of throttle that spreads events evenly across the given time interval.
*
* Use this combinator when you need just slow down a stream without worrying about exact amount
* Use this operator when you need just slow down a stream without worrying about exact amount
* of time between events.
*
* If you want to be sure that no time interval has no more than specified number of events you need to use
@ -1967,7 +1967,7 @@ class SubFlow[In, Out, Mat](delegate: scaladsl.SubFlow[Out, Mat, scaladsl.Flow[I
/**
* This is a simplified version of throttle that spreads events evenly across the given time interval.
*
* Use this combinator when you need just slow down a stream without worrying about exact amount
* Use this operator when you need just slow down a stream without worrying about exact amount
* of time between events.
*
* If you want to be sure that no time interval has no more than specified number of events you need to use
@ -1983,7 +1983,7 @@ class SubFlow[In, Out, Mat](delegate: scaladsl.SubFlow[Out, Mat, scaladsl.Flow[I
/**
* This is a simplified version of throttle that spreads events evenly across the given time interval.
*
* Use this combinator when you need just slow down a stream without worrying about exact amount
* Use this operator when you need just slow down a stream without worrying about exact amount
* of time between events.
*
* If you want to be sure that no time interval has no more than specified number of events you need to use