From d0ff06b8c14e3b505d0c14ca5c9c37e8b667c875 Mon Sep 17 00:00:00 2001
From: Josep Sanjuas <jsanjuas@gmail.com>
Date: Sun, 12 Apr 2015 19:40:30 +0200
Subject: [PATCH] Generalize mean to other types

---
 lib/pure/math.nim | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/lib/pure/math.nim b/lib/pure/math.nim
index aa64933fb9..0051c9d881 100644
--- a/lib/pure/math.nim
+++ b/lib/pure/math.nim
@@ -114,10 +114,13 @@ proc sum*[T](x: openArray[T]): T {.noSideEffect.} =
   ## If `x` is empty, 0 is returned.
   for i in items(x): result = result + i
 
-proc mean*(x: openArray[float]): float {.noSideEffect.} = 
+template toFloat(f: float): float = f
+
+proc mean*[T](x: openArray[T]): float {.noSideEffect.} =
   ## computes the mean of the elements in `x`. 
   ## If `x` is empty, NaN is returned.
-  result = sum(x) / toFloat(len(x))
+  ## ``toFloat(x: T): float`` must be defined.
+  result = toFloat(sum(x)) / toFloat(len(x))
 
 proc variance*(x: openArray[float]): float {.noSideEffect.} = 
   ## computes the variance of the elements in `x`.