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-rw-r--r--src/compiler/scala/tools/nsc/backend/jvm/analysis/package.scala4
1 files changed, 2 insertions, 2 deletions
diff --git a/src/compiler/scala/tools/nsc/backend/jvm/analysis/package.scala b/src/compiler/scala/tools/nsc/backend/jvm/analysis/package.scala
index f1ac703532..ef961941a0 100644
--- a/src/compiler/scala/tools/nsc/backend/jvm/analysis/package.scala
+++ b/src/compiler/scala/tools/nsc/backend/jvm/analysis/package.scala
@@ -43,7 +43,7 @@ package scala.tools.nsc.backend.jvm
* - Stores a frame for each instruction
* - `merge` function takes an instruction and a frame, merges the existing frame for that instr
* (from the frames array) with the new frame passed as argument.
- * if the frame changed, puts the instruction on the work queue (fixpiont).
+ * if the frame changed, puts the instruction on the work queue (fixpoint).
* - initial frame: initialized for first instr by calling interpreter.new[...]Value
* for each slot (locals and params), stored in frames[firstInstr] by calling `merge`
* - work queue of instructions (`queue` array, `top` index for next instruction to analyze)
@@ -191,7 +191,7 @@ package scala.tools.nsc.backend.jvm
* I measured nullness analysis (which tracks aliases) and a SimpleValue analysis. Nullness runs
* roughly 5x slower (because of alias tracking) at every problem size - this factor doesn't change.
*
- * The numbers below are for nullness. Note that the the last column is constant, i.e., the running
+ * The numbers below are for nullness. Note that the last column is constant, i.e., the running
* time is proportional to #ins * #loc^2. Therefore we use this factor when limiting the maximal
* method size for running an analysis.
*