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| author | Lukas Rytz <lukas.rytz@gmail.com> | 2016-01-22 22:33:29 +0100 |
|---|---|---|
| committer | Lukas Rytz <lukas.rytz@gmail.com> | 2016-01-23 07:26:13 +0100 |
| commit | 8d3be4dc79cb4679fc4994c32b21e10847e5518f (patch) | |
| tree | 526242bc68fd901933a961dc14e55633129fb65d /test/files/jvm/bytecode-test-example.flags | |
| parent | 7443037a6d1376709b3d83f10e66c9155f76dbaa (diff) | |
| download | scala-8d3be4dc79cb4679fc4994c32b21e10847e5518f.tar.gz scala-8d3be4dc79cb4679fc4994c32b21e10847e5518f.tar.bz2 scala-8d3be4dc79cb4679fc4994c32b21e10847e5518f.zip | |
Harden methods to recognize method invocations to optimize
The previous methods to identify method invocations that can be
optimized, such as `isPredefAutoBox`, were String-based. Now we
obtain class and method signatures from symbols through the
BTypes infrastructure.
We also piggy-back on specialization's type transformer to create
all specialized subclasses of Tuple1/Tuple2. We'll do the same in
the future for FunctionN, but the current JFunctionN are written
in Java and specialized artisanally.
Diffstat (limited to 'test/files/jvm/bytecode-test-example.flags')
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