All Downloads are FREE. Search and download functionalities are using the official Maven repository.

hu.akarnokd.rxjava3.operators.FlowableTransformers Maven / Gradle / Ivy

Go to download

RxJava 3.x extra sources, operators and components and ports of many 1.x companion libraries.

There is a newer version: 3.1.1
Show newest version
/*
 * Copyright 2016-2019 David Karnok
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package hu.akarnokd.rxjava3.operators;

import java.util.*;
import java.util.concurrent.TimeUnit;

import org.reactivestreams.Publisher;

import hu.akarnokd.rxjava3.util.BiFunctionSecondIdentity;
import io.reactivex.rxjava3.annotations.*;
import io.reactivex.rxjava3.core.*;
import io.reactivex.rxjava3.functions.*;
import io.reactivex.rxjava3.internal.functions.*;
import io.reactivex.rxjava3.schedulers.Schedulers;

/**
 * Additional operators in the form of {@link FlowableTransformer},
 * use {@link Flowable#compose(FlowableTransformer)}
 * to apply the operators to an existing sequence.
 * 
 * @since 0.7.2
 */
public final class FlowableTransformers {
    /** Utility class. */
    private FlowableTransformers() {
        throw new IllegalStateException("No instances!");
    }

    /**
     * Relays values until the other Publisher signals false and resumes if the other
     * Publisher signals true again, like closing and opening a valve and not losing
     * any items from the main source.
     * 

Properties: *

    *
  • The operator starts with an open valve.
  • *
  • If the other Publisher completes, the sequence terminates with an {@code IllegalStateException}.
  • *
  • The operator doesn't run on any particular {@link io.reactivex.rxjava3.core.Scheduler Scheduler}.
  • *
  • The operator is a pass-through for backpressure and uses an internal unbounded buffer * of size {@link Flowable#bufferSize()} to hold onto values if the valve is closed.
  • *
* @param the value type of the main source * @param other the other source * @return the new FlowableTransformer instance * @throws NullPointerException if {@code other} is null * * @since 0.7.2 */ @SchedulerSupport(SchedulerSupport.NONE) @BackpressureSupport(BackpressureKind.PASS_THROUGH) public static FlowableTransformer valve(Publisher other) { return valve(other, true, Flowable.bufferSize()); } /** * Relays values until the other Publisher signals false and resumes if the other * Publisher signals true again, like closing and opening a valve and not losing * any items from the main source and starts with the specified valve state. *

Properties: *

    *
  • If the other Publisher completes, the sequence terminates with an {@code IllegalStateException}.
  • *
  • The operator doesn't run on any particular {@link io.reactivex.rxjava3.core.Scheduler Scheduler}.
  • *
  • The operator is a pass-through for backpressure and uses an internal unbounded buffer * of size {@link Flowable#bufferSize()} to hold onto values if the valve is closed.
  • *
* @param the value type of the main source * @param other the other source * @param defaultOpen should the valve start as open? * @return the new FlowableTransformer instance * @throws NullPointerException if {@code other} is null * * @since 0.7.2 */ @SchedulerSupport(SchedulerSupport.NONE) @BackpressureSupport(BackpressureKind.PASS_THROUGH) public static FlowableTransformer valve(Publisher other, boolean defaultOpen) { return valve(other, defaultOpen, Flowable.bufferSize()); } /** * Relays values until the other Publisher signals false and resumes if the other * Publisher signals true again, like closing and opening a valve and not losing * any items from the main source and starts with the specified valve state and the specified * buffer size hint. *

Properties: *

    *
  • If the other Publisher completes, the sequence terminates with an {@code IllegalStateException}.
  • *
  • The operator doesn't run on any particular {@link io.reactivex.rxjava3.core.Scheduler Scheduler}.
  • *
* @param the value type of the main source * @param other the other source * @param defaultOpen should the valve start as open? * @param bufferSize the buffer size hint (the chunk size of the underlying unbounded buffer) * @return the new FlowableTransformer instance * @throws IllegalArgumentException if bufferSize <= 0 * @throws NullPointerException if {@code other} is null * @since 0.7.2 */ @SchedulerSupport(SchedulerSupport.NONE) @BackpressureSupport(BackpressureKind.PASS_THROUGH) public static FlowableTransformer valve(Publisher other, boolean defaultOpen, int bufferSize) { ObjectHelper.requireNonNull(other, "other is null"); ObjectHelper.verifyPositive(bufferSize, "bufferSize"); return new FlowableValve(null, other, defaultOpen, bufferSize); } /** * Buffers elements into a List while the given predicate returns true; if the * predicate returns false for an item, a new buffer is created with the specified item. * @param the source value type * @param predicate the predicate receiving the current value and if returns false, * a new buffer is created with the specified item * @return the new FlowableTransformer instance * * @since 0.8.0 */ @SchedulerSupport(SchedulerSupport.NONE) @BackpressureSupport(BackpressureKind.FULL) public static FlowableTransformer> bufferWhile(Predicate predicate) { return bufferWhile(predicate, Functions.createArrayList(16)); } /** * Buffers elements into a custom collection while the given predicate returns true; if the * predicate returns false for an item, a new collection is created with the specified item. * @param the source value type * @param the collection type * @param predicate the predicate receiving the current value and if returns false, * a new collection is created with the specified item * @param bufferSupplier the supplier that returns a fresh collection * @return the new FlowableTransformer instance * * @since 0.8.0 */ @SchedulerSupport(SchedulerSupport.NONE) @BackpressureSupport(BackpressureKind.FULL) public static > FlowableTransformer bufferWhile(Predicate predicate, Supplier bufferSupplier) { return new FlowableBufferPredicate(null, predicate, FlowableBufferPredicate.Mode.BEFORE, bufferSupplier); } /** * Buffers elements into a List until the given predicate returns true at which * point a new empty buffer is started. * @param the source value type * @param predicate the predicate receiving the current item and if returns true, * the current buffer is emitted and a fresh empty buffer is created * @return the new FlowableTransformer instance * * @since 0.8.0 */ @SchedulerSupport(SchedulerSupport.NONE) @BackpressureSupport(BackpressureKind.FULL) public static FlowableTransformer> bufferUntil(Predicate predicate) { return bufferUntil(predicate, Functions.createArrayList(16)); } /** * Buffers elements into a custom collection until the given predicate returns true at which * point a new empty custom collection is started. * @param the source value type * @param the collection type * @param predicate the predicate receiving the current item and if returns true, * the current collection is emitted and a fresh empty collection is created * @param bufferSupplier the supplier that returns a fresh collection * @return the new Flowable instance * * @since 0.8.0 */ @SchedulerSupport(SchedulerSupport.NONE) @BackpressureSupport(BackpressureKind.FULL) public static > FlowableTransformer bufferUntil(Predicate predicate, Supplier bufferSupplier) { return new FlowableBufferPredicate(null, predicate, FlowableBufferPredicate.Mode.AFTER, bufferSupplier); } /** * Buffers elements into a List until the given predicate returns true at which * point a new empty buffer is started; the particular item will be dropped. * @param the source value type * @param predicate the predicate receiving the current item and if returns true, * the current buffer is emitted and a fresh empty buffer is created * @return the new FlowableTransformer instance * * @since 0.14.3 */ @SchedulerSupport(SchedulerSupport.NONE) @BackpressureSupport(BackpressureKind.FULL) public static FlowableTransformer> bufferSplit(Predicate predicate) { return bufferSplit(predicate, Functions.createArrayList(16)); } /** * Buffers elements into a custom collection until the given predicate returns true at which * point a new empty custom collection is started; the particular item will be dropped. * @param the source value type * @param the collection type * @param predicate the predicate receiving the current item and if returns true, * the current collection is emitted and a fresh empty collection is created * @param bufferSupplier the Supplier that returns a fresh collection * @return the new Flowable instance * * @since 0.14.3 */ @SchedulerSupport(SchedulerSupport.NONE) @BackpressureSupport(BackpressureKind.FULL) public static > FlowableTransformer bufferSplit(Predicate predicate, Supplier bufferSupplier) { return new FlowableBufferPredicate(null, predicate, FlowableBufferPredicate.Mode.SPLIT, bufferSupplier); } /** * Inserts a time delay between emissions from the upstream source. *
*
Backpressure:
*
The operator itself doesn't interfere with backpressure and uses an unbounded * internal buffer to store elements that need delay.
*
Scheduler:
*
The operator uses the computation {@link Scheduler}.
*
* @param the value type * @param betweenDelay the (minimum) delay time between elements * @param unit the time unit of the initial delay and the between delay values * @return the new FlowableTransformer instance * * @since 0.9.0 */ @BackpressureSupport(BackpressureKind.PASS_THROUGH) @SchedulerSupport(SchedulerSupport.COMPUTATION) public static FlowableTransformer spanout(long betweenDelay, TimeUnit unit) { return spanout(0L, betweenDelay, unit, Schedulers.computation(), false); } /** * Inserts a time delay between emissions from the upstream source. *
*
Backpressure:
*
The operator itself doesn't interfere with backpressure and uses an unbounded * internal buffer to store elements that need delay.
*
Scheduler:
*
The operator uses a custom {@link Scheduler} you provide.
*
* @param the value type * @param betweenDelay the (minimum) delay time between elements * @param unit the time unit of the initial delay and the between delay values * @param scheduler the scheduler to delay and emit the values on * @return the new FlowableTransformer instance * * @since 0.9.0 */ @BackpressureSupport(BackpressureKind.PASS_THROUGH) @SchedulerSupport(SchedulerSupport.CUSTOM) public static FlowableTransformer spanout(long betweenDelay, TimeUnit unit, Scheduler scheduler) { return spanout(0L, betweenDelay, unit, scheduler, false); } /** * Inserts a time delay between emissions from the upstream source, including an initial delay. *
*
Backpressure:
*
The operator itself doesn't interfere with backpressure and uses an unbounded * internal buffer to store elements that need delay.
*
Scheduler:
*
The operator uses the computation {@link Scheduler}.
*
* @param the value type * @param initialDelay the initial delay * @param betweenDelay the (minimum) delay time between elements * @param unit the time unit of the initial delay and the between delay values * @return the new FlowableTransformer instance * * @since 0.9.0 */ @BackpressureSupport(BackpressureKind.PASS_THROUGH) @SchedulerSupport(SchedulerSupport.COMPUTATION) public static FlowableTransformer spanout(long initialDelay, long betweenDelay, TimeUnit unit) { return spanout(initialDelay, betweenDelay, unit, Schedulers.computation(), false); } /** * Inserts a time delay between emissions from the upstream source, including an initial delay. *
*
Backpressure:
*
The operator itself doesn't interfere with backpressure and uses an unbounded * internal buffer to store elements that need delay.
*
Scheduler:
*
The operator uses a custom {@link Scheduler} you provide.
*
* @param the value type * @param initialDelay the initial delay * @param betweenDelay the (minimum) delay time between elements * @param unit the time unit of the initial delay and the between delay values * @param scheduler the scheduler to delay and emit the values on * @return the new FlowableTransformer instance * * @since 0.9.0 */ @BackpressureSupport(BackpressureKind.PASS_THROUGH) @SchedulerSupport(SchedulerSupport.CUSTOM) public static FlowableTransformer spanout(long initialDelay, long betweenDelay, TimeUnit unit, Scheduler scheduler) { return spanout(initialDelay, betweenDelay, unit, scheduler, false); } /** * Inserts a time delay between emissions from the upstream source, including an initial delay. *
*
Backpressure:
*
The operator itself doesn't interfere with backpressure and uses an unbounded * internal buffer to store elements that need delay.
*
Scheduler:
*
The operator uses the computation {@link Scheduler}.
*
* @param the value type * @param betweenDelay the (minimum) delay time between elements * @param unit the time unit of the initial delay and the between delay values * @param delayError delay the onError event from upstream * @return the new FlowableTransformer instance * * @since 0.9.0 */ @BackpressureSupport(BackpressureKind.PASS_THROUGH) @SchedulerSupport(SchedulerSupport.COMPUTATION) public static FlowableTransformer spanout(long betweenDelay, TimeUnit unit, boolean delayError) { return spanout(0L, betweenDelay, unit, Schedulers.computation(), delayError); } /** * Inserts a time delay between emissions from the upstream source, including an initial delay. *
*
Backpressure:
*
The operator itself doesn't interfere with backpressure and uses an unbounded * internal buffer to store elements that need delay.
*
Scheduler:
*
The operator uses a custom {@link Scheduler} you provide.
*
* @param the value type * @param betweenDelay the (minimum) delay time between elements * @param unit the time unit of the initial delay and the between delay values * @param scheduler the scheduler to delay and emit the values on * @param delayError delay the onError event from upstream * @return the new FlowableTransformer instance * * @since 0.9.0 */ @BackpressureSupport(BackpressureKind.PASS_THROUGH) @SchedulerSupport(SchedulerSupport.CUSTOM) public static FlowableTransformer spanout(long betweenDelay, TimeUnit unit, Scheduler scheduler, boolean delayError) { return spanout(0L, betweenDelay, unit, scheduler, delayError); } /** * Inserts a time delay between emissions from the upstream source, including an initial delay. *
*
Backpressure:
*
The operator itself doesn't interfere with backpressure and uses an unbounded * internal buffer to store elements that need delay.
*
Scheduler:
*
The operator uses the computation {@link Scheduler}.
*
* @param the value type * @param initialDelay the initial delay * @param betweenDelay the (minimum) delay time between elements * @param unit the time unit of the initial delay and the between delay values * @param delayError delay the onError event from upstream * @return the new FlowableTransformer instance * * @since 0.9.0 */ @BackpressureSupport(BackpressureKind.PASS_THROUGH) @SchedulerSupport(SchedulerSupport.COMPUTATION) public static FlowableTransformer spanout(long initialDelay, long betweenDelay, TimeUnit unit, boolean delayError) { return spanout(initialDelay, betweenDelay, unit, Schedulers.computation(), delayError); } /** * Inserts a time delay between emissions from the upstream source, including an initial delay. *
*
Backpressure:
*
The operator itself doesn't interfere with backpressure and uses an unbounded * internal buffer to store elements that need delay.
*
Scheduler:
*
The operator uses a custom {@link Scheduler} you provide.
*
* @param the value type * @param initialDelay the initial delay * @param betweenDelay the (minimum) delay time between elements * @param unit the time unit of the initial delay and the between delay values * @param scheduler the scheduler to delay and emit the values on * @param delayError delay the onError event from upstream * @return the new FlowableTransformer instance * * @since 0.9.0 */ @BackpressureSupport(BackpressureKind.PASS_THROUGH) @SchedulerSupport(SchedulerSupport.CUSTOM) public static FlowableTransformer spanout(long initialDelay, long betweenDelay, TimeUnit unit, Scheduler scheduler, boolean delayError) { ObjectHelper.requireNonNull(unit, "unit is null"); ObjectHelper.requireNonNull(scheduler, "scheduler is null"); return new FlowableSpanout(null, initialDelay, betweenDelay, unit, scheduler, delayError, Flowable.bufferSize()); } /** * Allows mapping or filtering an upstream value through an emitter. * @param the input value type * @param the output value type * @param consumer the consumer that is called for each upstream value and should call one of the doXXX methods * on the BasicEmitter it receives (individual to each Subscriber). * @return the new FlowableTransformer instance * * @since 0.10.0 */ @BackpressureSupport(BackpressureKind.PASS_THROUGH) @SchedulerSupport(SchedulerSupport.NONE) public static FlowableTransformer mapFilter(BiConsumer> consumer) { ObjectHelper.requireNonNull(consumer, "consumer is null"); return new FlowableMapFilter(null, consumer); } /** * Buffers the incoming values from upstream up to a maximum timeout if * the downstream can't keep up. * @param the value type * @param timeout the maximum age of an element in the buffer * @param unit the time unit of the timeout * @return the new FlowableTransformer instance * @see #onBackpressureTimeout(int, long, TimeUnit, Scheduler, Consumer) for more options * * @since 0.13.0 */ @BackpressureSupport(BackpressureKind.UNBOUNDED_IN) @SchedulerSupport(SchedulerSupport.COMPUTATION) public static FlowableTransformer onBackpressureTimeout(long timeout, TimeUnit unit) { return onBackpressureTimeout(timeout, unit, Schedulers.computation()); } /** * Buffers the incoming values from upstream up to a maximum size or timeout if * the downstream can't keep up. * @param the value type * @param timeout the maximum age of an element in the buffer * @param unit the time unit of the timeout * @param scheduler the scheduler to be used as time source and to trigger the timeout & eviction * @param onEvict called when an element is evicted, maybe concurrently * @return the new FlowableTransformer instance * * @since 0.13.0 */ @BackpressureSupport(BackpressureKind.UNBOUNDED_IN) @SchedulerSupport(SchedulerSupport.CUSTOM) public static FlowableTransformer onBackpressureTimeout(long timeout, TimeUnit unit, Scheduler scheduler, Consumer onEvict) { ObjectHelper.requireNonNull(unit, "unit is null"); ObjectHelper.requireNonNull(scheduler, "scheduler is null"); ObjectHelper.requireNonNull(onEvict, "onEvict is null"); return new FlowableOnBackpressureTimeout(null, Integer.MAX_VALUE, timeout, unit, scheduler, onEvict); } /** * Buffers the incoming values from upstream up to a maximum timeout if * the downstream can't keep up, running on a custom scheduler. * @param the value type * @param timeout the maximum age of an element in the buffer * @param unit the time unit of the timeout * @param scheduler the scheduler to be used as time source and to trigger the timeout & eviction * @return the new FlowableTransformer instance * @see #onBackpressureTimeout(int, long, TimeUnit, Scheduler, Consumer) for more options * * @since 0.13.0 */ @BackpressureSupport(BackpressureKind.UNBOUNDED_IN) @SchedulerSupport(SchedulerSupport.CUSTOM) public static FlowableTransformer onBackpressureTimeout(long timeout, TimeUnit unit, Scheduler scheduler) { return onBackpressureTimeout(Integer.MAX_VALUE, timeout, unit, scheduler, Functions.emptyConsumer()); } /** * Buffers the incoming values from upstream up to a maximum size or timeout if * the downstream can't keep up. * @param the value type * @param maxSize the maximum number of elements in the buffer, beyond that, * the oldest element is evicted * @param timeout the maximum age of an element in the buffer * @param unit the time unit of the timeout * @param scheduler the scheduler to be used as time source and to trigger the timeout & eviction * @param onEvict called when an element is evicted, maybe concurrently * @return the new FlowableTransformer instance * * @since 0.13.0 */ @BackpressureSupport(BackpressureKind.UNBOUNDED_IN) @SchedulerSupport(SchedulerSupport.CUSTOM) public static FlowableTransformer onBackpressureTimeout(int maxSize, long timeout, TimeUnit unit, Scheduler scheduler, Consumer onEvict) { ObjectHelper.verifyPositive(maxSize, "maxSize"); ObjectHelper.requireNonNull(unit, "unit is null"); ObjectHelper.requireNonNull(scheduler, "scheduler is null"); ObjectHelper.requireNonNull(onEvict, "onEvict is null"); return new FlowableOnBackpressureTimeout(null, maxSize, timeout, unit, scheduler, onEvict); } /** * Relays every Nth item from upstream. *
*
Backpressure:
*
The operator requests keep {@code times} what the downstream requests and skips @code keep-1} items.
*
Scheduler:
*
The operator doesn't run on any particular {@link Scheduler}.
*
* @param the value type * @param keep the period of items to keep, i.e., this minus one items will be dropped * before emitting an item directly * @return the new FlowableTransformer instance * * @since 0.14.2 */ @BackpressureSupport(BackpressureKind.SPECIAL) @SchedulerSupport(SchedulerSupport.NONE) public static FlowableTransformer every(long keep) { ObjectHelper.verifyPositive(keep, "keep"); return new FlowableEvery(null, keep); } /** * Cache the very last value of the flow and relay/replay it to Subscribers. *

* The operator subscribes to the upstream when the first downstream Subscriber * arrives. Once connected, the upstream can't be stopped from the * downstream even if all Subscribers cancel. *

* A difference from {@code replay(1)} is that {@code replay()} is likely * holding onto 2 references due to continuity requirements whereas this * operator is guaranteed to hold only the very last item. * @param the value type emitted * @return the new FlowableTransformer instance * * @since 0.15.0 */ @BackpressureSupport(BackpressureKind.UNBOUNDED_IN) @SchedulerSupport(SchedulerSupport.NONE) public static FlowableTransformer cacheLast() { return new FlowableCacheLast(null); } /** * Emit the last item when the upstream completes or the * the latest received if the specified timeout elapses since * the last received item. * @param the value type * @param timeout the timeout value * @param unit the timeout time unit * @return the new Flowable type * * @since 0.15.0 */ @BackpressureSupport(BackpressureKind.UNBOUNDED_IN) @SchedulerSupport(SchedulerSupport.COMPUTATION) public static FlowableTransformer timeoutLast(long timeout, TimeUnit unit) { return timeoutLast(timeout, unit, Schedulers.computation()); } /** * Emit the last item when the upstream completes or the * the latest received if the specified timeout elapses since * the last received item. * @param the value type * @param timeout the timeout value * @param unit the timeout time unit * @param scheduler the scheduler to run the timeout and possible emit the last/latest * @return the new Flowable type * * @since 0.15.0 */ @BackpressureSupport(BackpressureKind.UNBOUNDED_IN) @SchedulerSupport(SchedulerSupport.CUSTOM) public static FlowableTransformer timeoutLast(long timeout, TimeUnit unit, Scheduler scheduler) { ObjectHelper.requireNonNull(unit, "unit is null"); ObjectHelper.requireNonNull(scheduler, "scheduler is null"); return new FlowableTimeoutLast(null, timeout, unit, scheduler, false); } /** * Emit the last item when the upstream completes or the * the latest received if the specified timeout elapses * since the start of the sequence. * @param the value type * @param timeout the timeout value * @param unit the timeout time unit * @return the new Flowable type * * @since 0.15.0 */ @BackpressureSupport(BackpressureKind.UNBOUNDED_IN) @SchedulerSupport(SchedulerSupport.COMPUTATION) public static FlowableTransformer timeoutLastAbsolute(long timeout, TimeUnit unit) { return timeoutLastAbsolute(timeout, unit, Schedulers.computation()); } /** * Emit the last item when the upstream completes or the * the latest received if the specified timeout elapses * since the start of the sequence. * @param the value type * @param timeout the timeout value * @param unit the timeout time unit * @param scheduler the scheduler to run the timeout and possible emit the last/latest * @return the new Flowable type * * @since 0.15.0 */ @BackpressureSupport(BackpressureKind.UNBOUNDED_IN) @SchedulerSupport(SchedulerSupport.CUSTOM) public static FlowableTransformer timeoutLastAbsolute(long timeout, TimeUnit unit, Scheduler scheduler) { ObjectHelper.requireNonNull(unit, "unit is null"); ObjectHelper.requireNonNull(scheduler, "scheduler is null"); return new FlowableTimeoutLast(null, timeout, unit, scheduler, true); } /** * Debounces the upstream by taking an item and dropping subsequent items until * the specified amount of time elapses after the last item, after which the * process repeats. *

* Note that the operator uses the {@code computation} {@link Scheduler} for * the source of time but doesn't use it to emit non-dropped items or terminal events. * The operator uses calculation with the current time to decide if an upstream * item may pass or not. * @param the value type * @param timeout the timeout * @param unit the unit of measure of the timeout parameter * @return the new FlowableTransformer instance * * @since 0.15.0 */ @BackpressureSupport(BackpressureKind.PASS_THROUGH) @SchedulerSupport(SchedulerSupport.COMPUTATION) public static FlowableTransformer debounceFirst(long timeout, TimeUnit unit) { return debounceFirst(timeout, unit, Schedulers.computation()); } /** * Debounces the upstream by taking an item and dropping subsequent items until * the specified amount of time elapses after the last item, after which the * process repeats. *

* Note that the operator uses the {@code computation} {@link Scheduler} for * the source of time but doesn't use it to emit non-dropped items or terminal events. * The operator uses calculation with the current time to decide if an upstream * item may pass or not. * @param the value type * @param timeout the timeout * @param unit the unit of measure of the timeout parameter * @param scheduler the scheduler used for getting the current time when * evaluating upstream items * @return the new FlowableTransformer instance * * @since 0.15.0 */ @BackpressureSupport(BackpressureKind.PASS_THROUGH) @SchedulerSupport(SchedulerSupport.CUSTOM) public static FlowableTransformer debounceFirst(long timeout, TimeUnit unit, Scheduler scheduler) { ObjectHelper.requireNonNull(unit, "unit is null"); ObjectHelper.requireNonNull(scheduler, "scheduler is null"); return new FlowableDebounceFirst(null, timeout, unit, scheduler); } /** * Combination of switchMap and flatMap where there is a limit on the number of * concurrent sources to be flattened into a single sequence and if the operator is at * the given maximum active count, a newer source Publisher will switch out the oldest * active source Publisher being merged. * @param the source value type * @param the result value type * @param mapper the function that maps an upstream value into a Publisher to be merged/switched * @param maxActive the maximum number of active inner Publishers * @return the new FlowableTransformer instance * * @since 0.15.0 */ @BackpressureSupport(BackpressureKind.FULL) @SchedulerSupport(SchedulerSupport.NONE) public static FlowableTransformer switchFlatMap(Function> mapper, int maxActive) { return switchFlatMap(mapper, maxActive, Flowable.bufferSize()); } /** * Combination of switchMap and flatMap where there is a limit on the number of * concurrent sources to be flattened into a single sequence and if the operator is at * the given maximum active count, a newer source Publisher will switch out the oldest * active source Publisher being merged. * @param the source value type * @param the result value type * @param mapper the function that maps an upstream value into a Publisher to be merged/switched * @param maxActive the maximum number of active inner Publishers * @param bufferSize the number of items to prefetch from each inner source * @return the new FlowableTransformer instance * * @since 0.15.0 */ @BackpressureSupport(BackpressureKind.FULL) @SchedulerSupport(SchedulerSupport.NONE) public static FlowableTransformer switchFlatMap(Function> mapper, int maxActive, int bufferSize) { ObjectHelper.requireNonNull(mapper, "mapper is null"); ObjectHelper.verifyPositive(maxActive, "maxActive"); ObjectHelper.verifyPositive(bufferSize, "bufferSize"); return new FlowableSwitchFlatMap(null, mapper, maxActive, bufferSize); } /** * Maps the upstream values into Publisher and merges at most 32 of them at once, * optimized for mainly synchronous sources. * @param the input value type * @param the result value type * @param mapper the function mapping from a value into a Publisher * @return the new FlowableTransformer instance * * @since 0.16.0 */ public static FlowableTransformer flatMapSync(Function> mapper) { return flatMapSync(mapper, 32, Flowable.bufferSize(), true); } /** * Maps the upstream values into Publisher and merges at most maxConcurrency of them at once, * optimized for mainly synchronous sources. * @param the input value type * @param the result value type * @param mapper the function mapping from a value into a Publisher * @param depthFirst if true, the inner sources are drained as much as possible * if false, the inner sources are consumed in a round-robin fashion * @return the new FlowableTransformer instance * * @since 0.16.0 */ public static FlowableTransformer flatMapSync(Function> mapper, boolean depthFirst) { return flatMapSync(mapper, 32, Flowable.bufferSize(), depthFirst); } /** * Maps the upstream values into Publisher and merges at most maxConcurrency of them at once, * optimized for mainly synchronous sources. * @param the input value type * @param the result value type * @param mapper the function mapping from a value into a Publisher * @param maxConcurrency the maximum number of sources merged at once * @param bufferSize the prefetch on each inner source * @param depthFirst if true, the inner sources are drained as much as possible * if false, the inner sources are consumed in a round-robin fashion * @return the new FlowableTransformer instance * * @since 0.16.0 */ public static FlowableTransformer flatMapSync(Function> mapper, int maxConcurrency, int bufferSize, boolean depthFirst) { return new FlowableFlatMapSync(null, mapper, maxConcurrency, bufferSize, depthFirst); } /** * Maps the upstream values into Publisher and merges at most 32 of them at once, * collects and emits the items on the specified scheduler. *

This operator can be considered as a fusion between a flatMapSync * and observeOn. * @param the input value type * @param the output value type * @param mapper the function mapping from a value into a Publisher * @param scheduler the Scheduler to use to collect and emit merged items * @return the new FlowableTransformer instance * * @since 0.16.0 */ public static FlowableTransformer flatMapAsync(Function> mapper, Scheduler scheduler) { return flatMapAsync(mapper, scheduler, 32, Flowable.bufferSize(), true); } /** * Maps the upstream values into Publisher and merges at most 32 of them at once, * collects and emits the items on the specified scheduler. *

This operator can be considered as a fusion between a flatMapSync * and observeOn. * @param the input value type * @param the output value type * @param mapper the function mapping from a value into a Publisher * @param scheduler the Scheduler to use to collect and emit merged items * @param depthFirst if true, the inner sources are drained as much as possible * if false, the inner sources are consumed in a round-robin fashion * @return the new FlowableTransformer instance * * @since 0.16.0 */ public static FlowableTransformer flatMapAsync(Function> mapper, Scheduler scheduler, boolean depthFirst) { return flatMapAsync(mapper, scheduler, 32, Flowable.bufferSize(), depthFirst); } /** * Maps the upstream values into Publisher and merges at most 32 of them at once, * collects and emits the items on the specified scheduler. *

This operator can be considered as a fusion between a flatMapSync * and observeOn. * @param the input value type * @param the output value type * @param mapper the function mapping from a value into a Publisher * @param scheduler the Scheduler to use to collect and emit merged items * @param maxConcurrency the maximum number of sources merged at once * @param bufferSize the prefetch on each inner source * @param depthFirst if true, the inner sources are drained as much as possible * if false, the inner sources are consumed in a round-robin fashion * @return the new FlowableTransformer instance * * @since 0.16.0 */ public static FlowableTransformer flatMapAsync(Function> mapper, Scheduler scheduler, int maxConcurrency, int bufferSize, boolean depthFirst) { return new FlowableFlatMapAsync(null, mapper, maxConcurrency, bufferSize, depthFirst, scheduler); } /** * If the upstream turns out to be empty, it keeps switching to the alternative sources until * one of them is non-empty or there are no more alternatives remaining. * @param the input and output value type * @param alternatives the array of alternative Publishers. * @return the new FlowableTransformer instance * * @since 0.16.0 */ public static FlowableTransformer switchIfEmptyArray(Publisher... alternatives) { return new FlowableSwitchIfEmptyManyArray(null, alternatives); } /** * If the upstream turns out to be empty, it keeps switching to the alternative sources until * one of them is non-empty or there are no more alternatives remaining. * @param the input and output value type * @param alternatives the Iterable of alternative Publishers. * @return the new FlowableTransformer instance * * @since 0.16.0 */ public static FlowableTransformer switchIfEmpty(Iterable> alternatives) { return new FlowableSwitchIfEmptyMany(null, alternatives); } /** * Emits elements from the source and then expands them into another layer of Publishers, emitting * those items recursively until all Publishers become empty in a depth-first manner. * @param the value type * @param expander the function that converts an element into a Publisher to be expanded * @return the new FlwoableTransformer instance * * @since 0.16.1 */ public static FlowableTransformer expand(Function> expander) { return expand(expander, ExpandStrategy.DEPTH_FIRST, Flowable.bufferSize()); } /** * Emits elements from the source and then expands them into another layer of Publishers, emitting * those items recursively until all Publishers become empty with the specified strategy. * @param the value type * @param expander the function that converts an element into a Publisher to be expanded * @param strategy the expansion strategy; depth-first will recursively expand the first item until there is no * more expansion possible, then the second items, and so on; * breadth-first will first expand the main source, then runs the expaned * Publishers in sequence, then the 3rd level, and so on. * @return the new FlwoableTransformer instance * * @since 0.16.1 */ public static FlowableTransformer expand(Function> expander, ExpandStrategy strategy) { return expand(expander, strategy, Flowable.bufferSize()); } /** * Emits elements from the source and then expands them into another layer of Publishers, emitting * those items recursively until all Publishers become empty with the specified strategy. * @param the value type * @param expander the function that converts an element into a Publisher to be expanded * @param strategy the expansion strategy; depth-first will recursively expand the first item until there is no * more expansion possible, then the second items, and so on; * breadth-first will first expand the main source, then runs the expaned * Publishers in sequence, then the 3rd level, and so on. * @param capacityHint the capacity hint for the breadth-first expansion * @return the new FlwoableTransformer instance * * @since 0.16.1 */ public static FlowableTransformer expand(Function> expander, ExpandStrategy strategy, int capacityHint) { ObjectHelper.requireNonNull(expander, "expander is null"); ObjectHelper.requireNonNull(strategy, "strategy is null"); ObjectHelper.verifyPositive(capacityHint, "capacityHint"); return new FlowableExpand(null, expander, strategy, capacityHint, false); } /** * Emits elements from the source and then expands them into another layer of Publishers, emitting * those items recursively until all Publishers become empty in a depth-first manner, * delaying errors until all sources terminate. * @param the value type * @param expander the function that converts an element into a Publisher to be expanded * @return the new FlwoableTransformer instance * * @since 0.18.4 */ public static FlowableTransformer expandDelayError(Function> expander) { return expandDelayError(expander, ExpandStrategy.DEPTH_FIRST, Flowable.bufferSize()); } /** * Emits elements from the source and then expands them into another layer of Publishers, emitting * those items recursively until all Publishers become empty with the specified strategy, * delaying errors until all sources terminate. * @param the value type * @param expander the function that converts an element into a Publisher to be expanded * @param strategy the expansion strategy; depth-first will recursively expand the first item until there is no * more expansion possible, then the second items, and so on; * breadth-first will first expand the main source, then runs the expaned * Publishers in sequence, then the 3rd level, and so on. * @return the new FlwoableTransformer instance * * @since 0.18.4 */ public static FlowableTransformer expandDelayError(Function> expander, ExpandStrategy strategy) { return expandDelayError(expander, strategy, Flowable.bufferSize()); } /** * Emits elements from the source and then expands them into another layer of Publishers, emitting * those items recursively until all Publishers become empty with the specified strategy, * delaying errors until all sources terminate. * @param the value type * @param expander the function that converts an element into a Publisher to be expanded * @param strategy the expansion strategy; depth-first will recursively expand the first item until there is no * more expansion possible, then the second items, and so on; * breadth-first will first expand the main source, then runs the expaned * Publishers in sequence, then the 3rd level, and so on. * @param capacityHint the capacity hint for the breadth-first expansion * @return the new FlwoableTransformer instance * * @since 0.18.4 */ public static FlowableTransformer expandDelayError(Function> expander, ExpandStrategy strategy, int capacityHint) { ObjectHelper.requireNonNull(expander, "expander is null"); ObjectHelper.requireNonNull(strategy, "strategy is null"); ObjectHelper.verifyPositive(capacityHint, "capacityHint"); return new FlowableExpand(null, expander, strategy, capacityHint, true); } /** * Maps each upstream value into a single value provided by a generated Publisher for that * input value to be emitted to downstream. *

Only the first item emitted by the inner Publisher's are considered. If * the inner Publisher is empty, no resulting item is generated for that input value. *

The inner Publishers are consumed in order and one at a time. * @param the input value type * @param the result value type * @param mapper the function that receives the upstream value and returns a Publisher * that should emit a single value to be emitted. * @return the new FlowableTransformer instance * @since 0.16.2 */ public static FlowableTransformer mapAsync(Function> mapper) { return mapAsync(mapper, BiFunctionSecondIdentity.instance(), Flowable.bufferSize()); } /** * Maps each upstream value into a single value provided by a generated Publisher for that * input value to be emitted to downstream. *

Only the first item emitted by the inner Publisher's are considered. If * the inner Publisher is empty, no resulting item is generated for that input value. *

The inner Publishers are consumed in order and one at a time. * @param the input value type * @param the result value type * @param mapper the function that receives the upstream value and returns a Publisher * @param bufferSize the internal buffer size and prefetch amount to buffer items from * upstream until their turn comes up * that should emit a single value to be emitted. * @return the new FlowableTransformer instance * @since 0.16.2 */ public static FlowableTransformer mapAsync(Function> mapper, int bufferSize) { return mapAsync(mapper, BiFunctionSecondIdentity.instance(), bufferSize); } /** * Maps each upstream value into a single value provided by a generated Publisher for that * input value and combines the original and generated single value into a final result item * to be emitted to downstream. *

Only the first item emitted by the inner Publisher's are considered. If * the inner Publisher is empty, no resulting item is generated for that input value. *

The inner Publishers are consumed in order and one at a time. * @param the input value type * @param the intermediate value type * @param the result value type * @param mapper the function that receives the upstream value and returns a Publisher * that should emit a single value to be emitted. * @param combiner the bi-function that receives the original upstream value and the * single value emitted by the Publisher and returns a result value to be emitted to * downstream. * @return the new FlowableTransformer instance * @since 0.16.2 */ public static FlowableTransformer mapAsync(Function> mapper, BiFunction combiner) { return mapAsync(mapper, combiner, Flowable.bufferSize()); } /** * Maps each upstream value into a single value provided by a generated Publisher for that * input value and combines the original and generated single value into a final result item * to be emitted to downstream. *

Only the first item emitted by the inner Publisher's are considered. If * the inner Publisher is empty, no resulting item is generated for that input value. *

The inner Publishers are consumed in order and one at a time. * @param the input value type * @param the intermediate value type * @param the result value type * @param mapper the function that receives the upstream value and returns a Publisher * that should emit a single value to be emitted. * @param combiner the bi-function that receives the original upstream value and the * single value emitted by the Publisher and returns a result value to be emitted to * downstream. * @param bufferSize the internal buffer size and prefetch amount to buffer items from * upstream until their turn comes up * @return the new FlowableTransformer instance * @since 0.16.2 */ public static FlowableTransformer mapAsync(Function> mapper, BiFunction combiner, int bufferSize) { ObjectHelper.requireNonNull("mapper", "mapper is null"); ObjectHelper.requireNonNull("combiner", "combiner is null"); ObjectHelper.verifyPositive(bufferSize, "bufferSize"); return new FlowableMapAsync(null, mapper, combiner, bufferSize); } /** * Maps each upstream value into a single {@code true} or {@code false} value provided by a generated Publisher for that * input value and emits the input value if the inner Publisher returned {@code true}. *

Only the first item emitted by the inner Publisher's are considered. If * the inner Publisher is empty, no resulting item is generated for that input value. *

The inner Publishers are consumed in order and one at a time. * @param the input and output value type * @param asyncPredicate the function that receives the upstream value and returns * a Publisher that should emit a single true to indicate the original value should pass. * @return the new FlowableTransformer instance * @since 0.16.2 */ public static FlowableTransformer filterAsync(Function> asyncPredicate) { return filterAsync(asyncPredicate, Flowable.bufferSize()); } /** * Maps each upstream value into a single {@code true} or {@code false} value provided by a generated Publisher for that * input value and emits the input value if the inner Publisher returned {@code true}. *

Only the first item emitted by the inner Publisher's are considered. If * the inner Publisher is empty, no resulting item is generated for that input value. *

The inner Publishers are consumed in order and one at a time. * @param the input and output value type * @param asyncPredicate the function that receives the upstream value and returns * a Publisher that should emit a single true to indicate the original value should pass. * @param bufferSize the internal buffer size and prefetch amount to buffer items from * upstream until their turn comes up * @return the new FlowableTransformer instance * @since 0.16.2 */ public static FlowableTransformer filterAsync(Function> asyncPredicate, int bufferSize) { ObjectHelper.requireNonNull("asyncPredicate", "asyncPredicate is null"); ObjectHelper.verifyPositive(bufferSize, "bufferSize"); return new FlowableFilterAsync(null, asyncPredicate, bufferSize); } /** * Coalesces items from upstream into a container via a consumer and emits the container if * there is a downstream demand, otherwise it keeps coalescing into the same container. * @param the upstream value type * @param the container and result type * @param containerSupplier the function called and should return a fresh container to coalesce into * @param coalescer the consumer receiving the current container and upstream item to handle * @return the new FlowableTransformer instance * @since 0.17.3 */ public static FlowableTransformer coalesce(Supplier containerSupplier, BiConsumer coalescer) { return coalesce(containerSupplier, coalescer, Flowable.bufferSize()); } /** * Coalesces items from upstream into a container via a consumer and emits the container if * there is a downstream demand, otherwise it keeps coalescing into the same container. * @param the upstream value type * @param the container and result type * @param containerSupplier the function called and should return a fresh container to coalesce into * @param coalescer the consumer receiving the current container and upstream item to handle * @param bufferSize the island size of the internal unbounded buffer * @return the new FlowableTransformer instance * @since 0.17.3 */ public static FlowableTransformer coalesce(Supplier containerSupplier, BiConsumer coalescer, int bufferSize) { ObjectHelper.requireNonNull(containerSupplier, "containerSupplier is null"); ObjectHelper.requireNonNull(coalescer, "coalescer is null"); ObjectHelper.verifyPositive(bufferSize, "bufferSize"); return new FlowableCoalesce(null, containerSupplier, coalescer, bufferSize); } /** * Emits elements into a Flowable window while the given predicate returns true. If the * predicate returns false, a new Flowable window is emitted. * @param the source value type * @param predicate the predicate receiving the current value and if returns false, * a new window is created with the specified item * @return the new FlowableTransformer instance * * @since 0.17.7 */ @SchedulerSupport(SchedulerSupport.NONE) @BackpressureSupport(BackpressureKind.FULL) public static FlowableTransformer> windowWhile(Predicate predicate) { return windowWhile(predicate, Flowable.bufferSize()); } /** * Emits elements into a Flowable window while the given predicate returns true. If the * predicate returns false, a new Flowable window is emitted. * @param the source value type * @param predicate the predicate receiving the current value and if returns false, * a new window is created with the specified item * @param bufferSize the buffer size hint (the chunk size of the underlying unbounded buffer) * @return the new FlowableTransformer instance * * @since 0.17.7 */ @SchedulerSupport(SchedulerSupport.NONE) @BackpressureSupport(BackpressureKind.FULL) public static FlowableTransformer> windowWhile(final Predicate predicate, int bufferSize) { return new FlowableWindowPredicate(null, predicate, FlowableWindowPredicate.Mode.BEFORE, bufferSize); } /** * Emits elements into a Flowable window until the given predicate returns true at which * point a new Flowable window is emitted. * @param the source value type * @param predicate the predicate receiving the current item and if returns true, * the current window is completed and a new window is emitted * @return the new FlowableTransformer instance * * @since 0.17.7 */ @SchedulerSupport(SchedulerSupport.NONE) @BackpressureSupport(BackpressureKind.FULL) public static FlowableTransformer> windowUntil(Predicate predicate) { return windowUntil(predicate, Flowable.bufferSize()); } /** * Emits elements into a Flowable window until the given predicate returns true at which * point a new Flowable window is emitted. * @param the source value type * @param predicate the predicate receiving the current item and if returns true, * the current window is completed and a new window is emitted * @param bufferSize the buffer size hint (the chunk size of the underlying unbounded buffer) * @return the new Flowable instance * * @since 0.17.7 */ @SchedulerSupport(SchedulerSupport.NONE) @BackpressureSupport(BackpressureKind.FULL) public static FlowableTransformer> windowUntil(Predicate predicate, int bufferSize) { return new FlowableWindowPredicate(null, predicate, FlowableWindowPredicate.Mode.AFTER, bufferSize); } /** * Emits elements into a Flowable window until the given predicate returns true at which * point a new Flowable window is emitted; the particular item will be dropped. * @param the source value type * @param predicate the predicate receiving the current item and if returns true, * the current window is completed and a new window is emitted * @return the new FlowableTransformer instance * * @since 0.17.7 */ @SchedulerSupport(SchedulerSupport.NONE) @BackpressureSupport(BackpressureKind.FULL) public static FlowableTransformer> windowSplit(Predicate predicate) { return windowSplit(predicate, Flowable.bufferSize()); } /** * Emits elements into a Flowable window until the given predicate returns true at which * point a new Flowable window is emitted; the particular item will be dropped. * @param the source value type * @param predicate the predicate receiving the current item and if returns true, * the current window is completed and a new window is emitted * @param bufferSize the buffer size hint (the chunk size of the underlying unbounded buffer) * @return the new FlowableTransformer instance * * @since 0.17.7 */ @SchedulerSupport(SchedulerSupport.NONE) @BackpressureSupport(BackpressureKind.FULL) public static FlowableTransformer> windowSplit(Predicate predicate, int bufferSize) { return new FlowableWindowPredicate(null, predicate, FlowableWindowPredicate.Mode.SPLIT, bufferSize); } /** * Returns the first index of an element that matches a predicate or -1L if no elements match. * @param the upstream element type * @param predicate the predicate called to test each item, returning true will * stop the sequence and return the current item index * @return the new FlowableTransformer instance * * @since 0.18.2 */ @SchedulerSupport(SchedulerSupport.NONE) @BackpressureSupport(BackpressureKind.UNBOUNDED_IN) public static FlowableTransformer indexOf(Predicate predicate) { return new FlowableIndexOf(null, predicate); } /** * Requests items one-by-one from the upstream from the given {@link Scheduler} and * emits those items received on the same {@code Scheduler}, allowing a more interleaved * usage of the target {@code Scheduler} (aka "fair" use). *

* It behaves similar to {@link Flowable#observeOn(Scheduler)} except it requests items * one-by-one from the upstream and this request is issued from the give {@code Scheduler} thread * as an individual {@code Runnable} task. Each item received from the upstream will * also run on the given {@code Scheduler} as individual {@code Runnable} tasks which * should maximize the possibility of work interleaved on a threadpool-backed {@code Scheduler} * such as {@link io.reactivex.rxjava3.schedulers.Schedulers#computation()}. *

*
Backpressure:
*
The operator requests one item at a time and requests the next item once the downstream * has been notified of the previous one. If the upstream ignores backpressure, this operator * will randomly drop items similar to {@link Flowable#onBackpressureLatest()}.
*
Scheduler:
*
You specify the {@link Scheduler} this operator should use.
*
* @param the item type * @param scheduler the scheduler to use for requesting from the upstream and re-emitting * those items from * @return the new FlowableTransformer instance * @since 0.18.6 */ @SchedulerSupport(SchedulerSupport.CUSTOM) @BackpressureSupport(BackpressureKind.FULL) public static FlowableTransformer requestObserveOn(Scheduler scheduler) { return new FlowableRequestObserveOn(null, ObjectHelper.requireNonNull(scheduler, "scheduler == null")); } /** * Issues a {@code request(1)} to the upstream repeatedly after the given period time elapses (including * the very first {@code request(1)}). *
*
Backpressure:
*
The operator issues {@code request(1)} to its upstream periodically and expects the downstream * to be ready to consume the items. If the downstream is not ready at that moment, * a {@link io.reactivex.rxjava3.exceptions.MissingBackpressureException MissingBackpressureException} is signalled * and the flow is cancelled.
*
Scheduler:
*
You specify the {@link Scheduler} this operator should use for issuing each {@code request(1)} call. * Note that this may trigger the item creation on the specified scheduler.
*
* @param the item type * @param period the time between the request(1) calls * @param unit the unit of measure * @param scheduler the source of the period ticks that issue each request(1) calls * @return the new FlowableTransformer instance * @since 0.18.6 */ @SchedulerSupport(SchedulerSupport.CUSTOM) @BackpressureSupport(BackpressureKind.ERROR) public static FlowableTransformer requestSample(long period, TimeUnit unit, Scheduler scheduler) { return requestSample(period, period, unit, scheduler); } /** * Issues a {@code request(1)} to the upstream after an initial delay, then repeatedly by given period. *
*
Backpressure:
*
The operator issues {@code request(1)} to its upstream after an initial delay, then periodically and expects the downstream * to be ready to consume the items. If the downstream is not ready at that moment, * a {@link io.reactivex.rxjava3.exceptions.MissingBackpressureException MissingBackpressureException} is signalled * and the flow is cancelled.
*
Scheduler:
*
You specify the {@link Scheduler} this operator should use for issuing each {@code request(1)} call. * Note that this may trigger the item creation on the specified scheduler.
*
* @param the item type * @param initialDelay the initial delay before the very first {@code request(1)}. * @param period the time between the subsequent {@code request(1)} calls * @param unit the unit of measure * @param scheduler the source of the period ticks that issue each request(1) calls * @return the new FlowableTransformer instance * @since 0.18.6 */ public static FlowableTransformer requestSample(long initialDelay, long period, TimeUnit unit, Scheduler scheduler) { return new FlowableRequestSampleTime(null, initialDelay, period, unit, scheduler); } /** * Issues a {@code request(1)} to the upstream when the other {@link Publisher} signals an {@code onNext}. *

* If the other {@code Publisher} signals an {@code onError} or {@code onComplete}, the flow is terminated * with the respective signal as well. *

*
Backpressure:
*
The operator issues {@code request(1)} when the other {@code Publisher} signals an {@code onNext} and expects the downstream * to be ready to consume the items. If the downstream is not ready at that moment, * a {@link io.reactivex.rxjava3.exceptions.MissingBackpressureException MissingBackpressureException} is signalled * and the flow is cancelled. The other {@code Publisher} is consumed in an unbounded manner.
*
Scheduler:
*
This operator doesn't run on any particular {@link Scheduler}.
*
* @param the item type * @param the item type of the other source, the items are ignored and dropped * @param other the other {@code Publisher} instance that should signal {@code onNext} to request * 1 item from the main source. * @return the new FlowableTransformer instance * @since 0.18.6 */ public static FlowableTransformer requestSample(Publisher other) { return new FlowableRequestSample(null, other); } /** * Allows converting upstream items into output objects where an upstream item * may represent such output objects partially or may represent more than one * output object. *

* For example, given a stream of {@code byte[]} where each array could contain part * of a larger object, and thus more than one subsequent arrays are required to construct * the output object. The same array could also contain more than one output items, therefore, * it should be kept around in case the output is backpressured. * @param the upstream value type * @param the type that indicates where the first cached item should be read from * @param the accumulator type used to collect up partial data * @param the output type * @param handler the handler called when there was a change in the operators state: * new upstream items became available or the downstream requested * @param cleaner called to clean up the upstream items consumed * @param prefetch The number of items to fetch from the upstream to keep the operator * busy. Note that if more than this number of items are required * by the handler to create an output item, the operator may hang * if the handler doesn't consume the upstream items containing the * partial items. * @return the new FlowableTransformer instance * @since 0.18.9 */ public static FlowableTransformer partialCollect( Consumer> handler, Consumer cleaner, int prefetch ) { ObjectHelper.requireNonNull(handler, "handler is null"); ObjectHelper.requireNonNull(cleaner, "cleaner is null"); ObjectHelper.verifyPositive(prefetch, "prefetch"); return new FlowablePartialCollect(null, handler, cleaner, prefetch); } /** * Allows an upstream error to jump over an inner transformation and is * then reapplied once the inner transformation's returned Flowable terminates. * @param the upstream value type * @param the downstream value type * @param transformer the transformation applied to the flow on a per-Subscriber basis * @return the new FlowableTransformer instance * @since 0.19.1 */ public static FlowableTransformer errorJump(FlowableTransformer transformer) { ObjectHelper.requireNonNull(transformer, "transformer"); return new FlowableErrorJump(null, transformer); } /** * Switches to an alternate flow if the very first item of the main flow matches the given * predicate. *

* Note that the very first item is not included in the follow-up sequence if the switch happens. * Use {@link Flowable#startWithItem(Object)} to add it back if necessary. * * @param the element type of the selected flow * @param predicate a predicate that receives the very first item and should return true * to indicate to switch streams. If the predicate returns false, the main sequence is streamed * till its end. * @param selector if the {@code predicate} returned true, the function is called with the * very first item and should return a flow to resume with. * @return the new FlowableTransformer instance * @since 0.20.7 */ public static FlowableTransformer switchOnFirst(Predicate predicate, Function> selector) { ObjectHelper.requireNonNull(predicate, "predicate"); ObjectHelper.requireNonNull(selector, "selector"); return new FlowableSwitchOnFirst(null, predicate, selector); } }