fixup

base/multidimensional.jl

@@ -479,10 +479,10 @@ end
     end
 end
 
-cummax{T}(A::AbstractArray{T}, axis::Integer=1) =  scan(max, A, axis)
+cummax(A::AbstractArray, axis::Integer=1) =  scan(max, A, axis)
 cummax!(B, A, axis::Integer) = scan!(max, B, A, axis)
 
-cummin{T}(A::AbstractArray{T}, axis::Integer=1) =  scan(min, A, axis)
+cummin(A::AbstractArray, axis::Integer=1) =  scan(min, A, axis)
 cummin!(B, A, axis::Integer) = scan!(min, B, A, axis)
 
 """
@@ -509,7 +509,7 @@ julia> cumsum(a,2)
  4  9  15
 ```
 """
-cumsum{T}(A::AbstractArray{T}, axis::Integer=1) =  scan(+, A, axis)
+cumsum(A::AbstractArray, axis::Integer=1) =  scan(+, A, axis)
 cumsum!(B, A, axis::Integer) = scan!(+, B, A, axis)
 
 """
@@ -573,18 +573,18 @@ function scan(op, A, axis::Integer=1)
     scan!(op, out, A, axis)
 end
 
-function scan!(op, out, v::AbstractVector, axis::Integer=1)
+function scan!(op, B, A::AbstractVector, axis::Integer=1)
     axis > 0 || throw(ArgumentError("axis must be a positive integer"))
-    size(out) == size(v) || throw(DimensionMismatch("shape of out must match v"))
-    isempty(v) && return out
-    axis > 1 && return copy!(out, v)
-    cur_val = v[1]
-    out[1] = cur_val
-    @inbounds for i in 2:length(v)
-        cur_val = op(v[i], cur_val)
-        out[i] = cur_val
+    size(B) == size(A) || throw(DimensionMismatch("shape of B must match A"))
+    isempty(A) && return B
+    axis > 1 && return copy!(B, A)
+    cur_val = A[1]
+    B[1] = cur_val
+    @inbounds for i in 2:length(A)
+        cur_val = op(A[i], cur_val)
+        B[i] = cur_val
     end
-    return out
+    return B
 end
 
 """