Each result is returned as a two-element ARRAY ref, containing the epoch time in seconds and microseconds, as given by Time::HiRes::gettimeofday. Asyncio Future is not compatible with the () and concurrent.futures.as_completed() functions.
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Returns true on a leaf future if a result has been provided to the done method, failed using the fail method, or cancelled using the cancel method. The Task is cancelled when the cancellation was requested with cancel() and the wrapped coroutine propagated the CancelledError exception thrown into it.
If both tracing timestamps are defined, returns the number of seconds of elapsed time between them as a floating-point number. If not, returns undef. Promises can also be completed with a complete method which takes a potential value TryT- either a failed result of type FailureThrowable or a successful result of type SuccessT.
It should be noted however, that this module does not in any way provide an actual mechanism for performing this asynchronous activity; it merely provides a way to create objects that can be used for control and data flow around those operations. It allows such code to be written in a neater, forward-reading manner, and simplifies many common patterns that are often involved in such situations.
Run awaitable objects in the aws set concurrently. Return an iterator of Future objects. Each Future object returned represents the earliest result from the set of the remaining awaitables. The exception (or None if no exception was set) is returned only if the Future is done.
A Future object represents an operation that is currently in progress, or has recently completed. It can be used in a variety of ways to manage the flow of control, and data, through an asynchronous program.
You might have noticed that some functions (like main(), above) don’t have return types. That’s because Dart can infer the return type for you. Omitting return types is fine when you’re prototyping, but when you write production code, we recommend that you specify the return type.
This works, but is inconvenient for two reasons. First, we have to use foreach and nest the second purchase future within it. Imagine that after the purchase is completed we want to sell some other currency. We would have to repeat this pattern within the foreach callback, making the code overly indented, bulky and hard to reason about.
which is a bit harder to grasp than the for-comprehension, but we analyze it to better understand the flatMap operation. The flatMap operation maps its own value into some other future. Once this different future is completed, the resulting future is completed with its value. In our example, flatMap uses the value of the usdQuote future to map the value of the chfQuote into a third future which sends a request to buy a certain amount of Swiss francs. The resulting future purchase is completed only once this third future returned from map completes.
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This will ensure that an incoming argument is definitely a Future, and may be useful in such cases as adapting synchronous code to fit asynchronous libraries driven by Future. Return the result of the Future.
By following this convention, a module remains consistent with other Future-based modules, and makes it easy for program logic to gracefully handle and manage failures by use of the catch method. In either case, the callback will be passed the future object itself. The invoked code can then obtain the list of results by calling the get method.
Returns a new sequencing Future that behaves like catch, but also passes the original future, $f1, to any functions it invokes. If passed another Future instance, the passed instance will be cancelled when the original future is cancelled.
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Waits if necessary for at most the given time for the computation to complete, and then retrieves its result, if available. Analogous to success, calling failure and complete on a promise that has already been completed will throw an IllegalStateException.
The callback is called with the Future object as its only argument. An eval block can be used to turn a Future-returning function that might throw an exception, into a Future that would indicate this failure.
ExecutionException – stored when the computation fails due to an unhandled InterruptedException, Error or acontrol.ControlThrowable. In this case the ExecutionException has the unhandled exception as its cause. The rationale behind this is to prevent propagation of critical and control-flow related exceptions normally not handled by the client code and at the same time inform the client in which future the computation failed.
If the future is not yet ready, adds a callback to be invoked when the future is ready, if it completes successfully. If the future completed successfully, invokes it immediately. If it failed or was cancelled, it is not invoked at all.
The recoverWith combinator creates a new future which holds the same result as the original future if it completed successfully. Otherwise, the partial function is applied to the Throwable which failed the original future. If it maps the Throwable to some future, then this future is completed with the result of that future. Its relation to recover is similar to that of flatMap to map.
If the Future is done and has an exception set by the set_exception() method, this method raises the exception. Returns true if this task completed. Completion may be due to normal termination, an exception, or cancellation – in all of these cases, this method will return true.
In the next sections you’ll learn the about futures, async, and await so that you’ll be able to write the code necessary to make getUserOrder() print the desired value (Large Latte”) to the console. Marks that the leaf future has failed, and provides an exception value. This exception will be thrown by the get method if called.
The exception must evaluate as a true value; false exceptions are not allowed. A failure category name and other further details may be provided that will be returned by the failure method in list context.
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