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-rw-r--r--src/dotty/tools/dotc/core/ConstraintHandling.scala20
1 files changed, 19 insertions, 1 deletions
diff --git a/src/dotty/tools/dotc/core/ConstraintHandling.scala b/src/dotty/tools/dotc/core/ConstraintHandling.scala
index 95fa40704..0e155b9e1 100644
--- a/src/dotty/tools/dotc/core/ConstraintHandling.scala
+++ b/src/dotty/tools/dotc/core/ConstraintHandling.scala
@@ -177,7 +177,25 @@ trait ConstraintHandling {
case tp: RefinedType if param occursIn tp.refinedInfo => tp.parent
case tp: WildcardType =>
val bounds = tp.optBounds.orElse(TypeBounds.empty).bounds
- if (fromBelow == (variance >= 0)) bounds.lo else bounds.hi
+ // Try to instantiate the wildcard to a type that is known to conform to it.
+ // This means:
+ // If fromBelow is true, we minimize the type overall
+ // Hence, if variance < 0, pick the maximal safe type: bounds.lo
+ // (i.e. the whole bounds range is over the type)
+ // if variance > 0, pick the minimal safe type: bounds.hi
+ // (i.e. the whole bounds range is under the type)
+ // if variance == 0, pick bounds.lo anyway (this is arbitrary but in line with
+ // the principle that we pick the smaller type when in doubt).
+ // If fromBelow is false, we maximize the type overall and reverse the bounds
+ // if variance != 0. For variance == 0, we still minimize.
+ // In summary we pick the bound given by this table:
+ //
+ // variance | -1 0 1
+ // ------------------------
+ // from below | lo lo hi
+ // from above | hi lo lo
+ //
+ if (variance == 0 || fromBelow == (variance < 0)) bounds.lo else bounds.hi
case _ => tp
}
}