keymapper | Still Version 10 | Keyboard library
kandi X-RAY | keymapper Summary
kandi X-RAY | keymapper Summary
To use KeyMapper in modern versions of Windows (i.e. 7 or later), you will have to initially switch to 'Boot' mappings from the Mappings menu. If you don't do this, your mappings won't work.
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Community Discussions
Trending Discussions on keymapper
QUESTION
Consider this fine example:
...ANSWER
Answered 2021-Aug-15 at 00:04That's not what associateBy
does, here's what your code returns:
QUESTION
I need to group infinite Flux by key with high cardinality.
For example:
- group key is domain url
- calls to one domain should be strictly sequential (next call happens after previous one is completed)
- calls to different domains should be concurrent
- time interval between items with same key (url) is unknown, but expected to have burst nature. Several items emitted in short period of time then long pause until next group.
ANSWER
Answered 2021-Apr-03 at 06:26I think groupBy()
operator is not fit for my task with infinite source and a lot of groups. It makes infinite groups so it is necessary to somehow cancel idle groups downstream. But it is not possible to cancel GroupedFlux with guarantee that it has no unconsumed elements.
I think it will be great to have groupBy variant that emits finite groups.
Something like groupBy(keyMapper, boundryPredicate)
. When boundryPredicate returns true current group is complete and next element with same key will start new group.
QUESTION
I have a Java stream that invokes .collect(Collectors.toMap)
. Collectors.toMap
accepts a keyMapper
and a valueMapper
functions. I'd like to create two entries for each stream element, with two different keyMapper
functions, but with the same valueMapper
function. Is it possible to do this in a nice stream syntax without creating a custom collector?
Of course, I could also get one map, then add another set of keys with the same values to it, outside of the stream chain calls. But I was wondering if it could be made neater...
Basically what I have is:
...ANSWER
Answered 2020-Nov-12 at 09:59You can use flatMap
to create a stream of all the map entries first, and then collect them to a map. Something like this:
QUESTION
I'm discovering Dotty and I'd love to come up with a typed version of my algorithms. I want to achieve the following that I can do easily in JavaScript. It's basically a condensed way to extract a property of a record or an array:
...ANSWER
Answered 2020-Oct-22 at 00:00Ok, thanks to the comments, I was able to carefully design the following answer, that does not need projection types, but uses dependent types, as in this answer:
QUESTION
I have the following situation:
...ANSWER
Answered 2020-Apr-19 at 15:49 public static Map mapHeadersIndex(List headers, Function keyMapper) {
AtomicInteger index = new AtomicInteger();
return headers.stream()
.collect(Collectors.toMap(
keyMapper,
s -> index.getAndIncrement(),
(oldV, newV)->newV)
);
}
QUESTION
I am using a pipeline as follows:
...ANSWER
Answered 2020-Feb-27 at 13:49Yes, the problem is that the broadcast stream doesn't have watermarks. (But no, it doesn't matter if the KeyedBroadcastProcessFunction
has an onTimer method or not. Once you get the watermark flowing they will flow through to the window regardless.)
Whenever an operator has two or more inputs -- so in your case, when the inputStream
and configurationBroadcastStream
are connected -- the watermark at that operator will the minimum of the watermarks from its inputs. Since the broadcast stream doesn't have watermarks, this is holding back the watermarks provided by the inputStream
.
I have an example showing how you might handle this. Assuming that your broadcast stream doesn't need to have any timing information, you can implement a timestamp extractor and watermark assigner that effectively cedes control of watermarking to the other stream. Something like this:
QUESTION
I am trying to convert a Set
into a Map
. But I'm not sure why the keyMapper
and valueMapper
wont take the key functional object.
ANSWER
Answered 2020-Jan-24 at 16:47 headerMap= keys.stream().collect(Collectors.toMap(key -> key.toString(),parseLine(key -> key)));
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