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path: root/src/test/scala/scala/async/run/late/LateExpansion.scala
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* Add diagnostic for intermittently failing testJason Zaugg2017-10-131-1/+6
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* In tests use tmp dir working on all operating systemsMichaƂ Pociecha2016-11-221-1/+1
| | | | After this change tests pass also on Windows.
* Various fixes to late expansionJason Zaugg2016-01-191-14/+323
| | | | | | | | | | | | | | | | | | - Detect cross-state symbol references where the RefTree is nested in a LabelDef. Failure to do so led to ill-scoped local variable references which sometimes manifest as VerifyErrors. - Emit a default case in the Match intended to be a tableswitch. We have to do this ourselves if we expand after pattern matcher - Cleanup generated code to avoid redundant blocks - Avoid unnecessary `matchRes` temporary variable for unit-typed pattern matches - Fix the trace level logging in the ANF transform to restore indented output. - Emit `{ state = nextState; ... }` rather than `try { ... } finally { state = nextState }` in state handlers. This simplifies generated code and has the same meaning, as the code in the state machine isn't reentrant and can't observe the "early" transition of the state.
* Enable a compiler plugin to use the async transform after patmatJason Zaugg2015-09-221-0/+170
Currently, the async transformation is performed during the typer phase, like all other macros. We have to levy a few artificial restrictions on whern an async boundary may be: for instance we don't support await within a pattern guard. A more natural home for the transform would be after patterns have been translated. The test case in this commit shows how to use the async transform from a custom compiler phase after patmat. The remainder of the commit updates the implementation to handle the new tree shapes. For states that correspond to a label definition, we use `-symbol.id` as the state ID. This made it easier to emit the forward jumps to when processing the label application before we had seen the label definition. I've also made the transformation more efficient in the way it checks whether a given tree encloses an `await` call: we traverse the input tree at the start of the macro, and decorate it with tree attachments containig the answer to this question. Even after the ANF and state machine transforms introduce new layers of synthetic trees, the `containsAwait` code need only traverse shallowly through those trees to find a child that has the cached answer from the original traversal. I had to special case the ANF transform for expressions that always lead to a label jump: we avoids trying to push an assignment to a result variable into `if (cond) jump1() else jump2()`, in trees of the form: ``` % cat sandbox/jump.scala class Test { def test = { (null: Any) match { case _: String => "" case _ => "" } } } % qscalac -Xprint:patmat -Xprint-types sandbox/jump.scala def test: String = { case <synthetic> val x1: Any = (null{Null(null)}: Any){Any}; case5(){ if (x1.isInstanceOf{[T0]=> Boolean}[String]{Boolean}) matchEnd4{(x: String)String}(""{String("")}){String} else case6{()String}(){String}{String} }{String}; case6(){ matchEnd4{(x: String)String}(""{String("")}){String} }{String}; matchEnd4(x: String){ x{String} }{String} }{String} ```