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* SI-8224 Fix regression in f-bound aware LUBsJason Zaugg2014-02-181-0/+1
Disable the heuristic approach to recursive bounds unless the compiler is running under `-Xstrict-inference`. [the above was not authored by the original author] In db46c71e88, steps were taken to avoid blowing up in the pathological LUB calculation needed for: def trav = List(List(), Stream()) This skipped a level in the base class sequence when f-bounds were detected at the current level. In that example, when `lublist` was about to: mergePrefixAndArgs( typeOf[LinearSeqOptimized[A, List[A]]], typeOf[LinearSeqOptimized[A, Stream[A]]], ) If it proceeded (as in 2.10.3), the LUB is invalid: error: type arguments [B[_ >: D with C <: B[_ >: D with C <: A]],s.c.immutable.LinearSeq[B[_ >: D with C <: A]] with s.c.AbstractSeq[B[_ >: D with C <: A]] with s.c.LinearSeqOptimized[B[_ >: D with C <: A],s.c.immutable.LinearSeq[A] with s.c.AbstractSeq[A] with s.c.LinearSeqOptimized[A,Immutable with Equals with java.io.Serializable] with java.io.Serializable] with java.io.Serializable] do not conform to trait LinearSeqOptimized's type parameter bounds [+A,+Repr <: s.c.LinearSeqOptimized[A,Repr]] To avoid this, the added code would skip to the first non-F-bounded base type of the same arity of each element in the list. This would get to: LinearSeqLike[D, Stream[D]] LinearSeqLike[C, List[C]] which are lubbable without violating the type constraints. I don't think this was the right remedy. For starters, as seen in this bug report, SI-8224, if the list of types are identical we have let a perfectly good lub slip through our fingers, and end up calculating too general a type. More generally, if the type arguments in f-bounded positions coincide, we don't risk calculating a ill-bounded LUB. Furthermore, the code was widening each of the types separately; this isn't something we want to do within `if (isUniformFrontier)`. AFAICT this was just wasteful and as all `ts0` start with the same type symbol, so `typeConstructorList` should be uniform. This commit restricts this base-class skipping to situations where the argument inferred for an type argument that is used as an f-bound is not: a) an existential (as created by `mergePrefixAndArgs` in invariant positions.), or b) equivalent to one of the corresponding input type arguments (this is the case that fixes the regression in pos/8224.scala)