Runtime benchmarks infrastructure #7596
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liufengyun
approved these changes
Nov 21, 2019
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| def printUsage(): Unit = { |
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Do we need to execute jmh:compile first?
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Author
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I don't think it is necessary, at least I didn't do it and it worked. However, it might be necessary to run clean or even rm -rf out because sometimes the incremental compilation has a hard time figuring everything out...
bench-run/src/main/scala/Main.scala
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| val warmup = if (intArgs.length > 0) intArgs(0).toInt else 20 | ||
| val iterations = if (intArgs.length > 1) intArgs(1).toInt else 20 | ||
| val forks = if (intArgs.length > 2) intArgs(2).toInt else 1 |
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Maybe define a local method:
def getIntArg(i: Int, default: Int): Int =
if (intArgs.length > i) intArgs(i).toInt else default
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It is weird. I have signed the CLA about one month ago, but it seems like it was reset... I signed it again, so it should be fine now. |
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The bot is flakey, sometimes it fails to properly execute the check. It is
fine.
…On Mon, 25 Nov 2019, 20:28 brunnerant, ***@***.***> wrote:
It is weird. I have signed the CLA about one month ago, but it seems like
it was reset... I signed it again, so it should be fine now.
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@brunnerant We need a rebase and then we can merge. |
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Sorry, I forgot to do that earlier. Now it should be ready to merge... |
Contributor
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One of the tests failed |
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This pull requests adds the sub-project dotty-bench-run that allows to make runtime benchmarks.
It is uses jmh, as dotty-bench does. There is also support for taking inputs from a file, which is useful because sometimes the inputs cannot be specified by a
@Paramclause.This pull requests also adds a few benchmarks for the tuple related functions, which I have used for my semester project with @nicolasstucki .