From e76f54e059fc89bb2cdab0a61700988c56b609d3 Mon Sep 17 00:00:00 2001
From: Josep Sanjuas <jsanjuas@gmail.com>
Date: Sat, 18 Apr 2015 13:28:48 +0200
Subject: [PATCH] Generalize variance to other types

---
 lib/pure/math.nim | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/lib/pure/math.nim b/lib/pure/math.nim
index 0051c9d881..ef9c69e3cf 100644
--- a/lib/pure/math.nim
+++ b/lib/pure/math.nim
@@ -122,13 +122,13 @@ proc mean*[T](x: openArray[T]): float {.noSideEffect.} =
   ## ``toFloat(x: T): float`` must be defined.
   result = toFloat(sum(x)) / toFloat(len(x))
 
-proc variance*(x: openArray[float]): float {.noSideEffect.} = 
+proc variance*[T](x: openArray[T]): float {.noSideEffect.} =
   ## computes the variance of the elements in `x`. 
   ## If `x` is empty, NaN is returned.
   result = 0.0
   var m = mean(x)
-  for i in 0 .. high(x):
-    var diff = x[i] - m
+  for i in items(x):
+    var diff = toFloat(i) - m
     result = result + diff*diff
   result = result / toFloat(len(x))