Then we use the helper function Grouping.eachCount() to transform that into Map.Ĭollection-level operations can be incredibly powerful and are often more useful than iterating over collections manually (especially because the standard library can optimize what's going on behind the scenes). What we're doing here is first converting our List into a Grouping. Here's how we might try to write it: fun countInstances(list: List): Map. Suppose we want to convert a List into a Map, where each Int represents the number of times each String appeared in the list. Code that you know is ironclad turns out to be full of potential nulls.
This null safety can occasionally create some tricky situations, though. Try to use a nullable type in a non-null way and the compiler will yell at you. I've questioned it in StackOverflow.One of the best features of Kotlin is its built-in null safety in the type system. What I need is something that really stops the streaming when flowA is emitting null, unsubscribing from flowB until flowA produces another value (different from null). It just ignore null values, and the streaming continues, combining both flows, with the previous value being selected (whatever it was before the null value). The filterNotNull operator does not fit this use case, because it does not cancel the stream when a null value arrives. I do not have a solution and yours does not apply either.
Sorry if this is not the right place (in this case, I suggest a review in the guidelines docs). This is why I asked here instead of in StackOverflow or similar - in a perspective that this scenario could be solved by a new operator or something like that, perhaps. And, regarding feature requests, it states that "Explaining the problem you face is more important than suggesting a solution.". Sorry, checked the "Contributing Guidelines" and it states that "Both bug reports and feature requests are welcome".
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