Sorry reduce was a bad idea, even if syntax is nice, it's really slow and greedy.
V1 can take advantage of @inbounds and @simd optimizations: http://docs.julialang.org/en/release-0.5/manual/performance-tips/#performance-annotations I hope reduce will be optimized in future because here it expresses rightly the problem we solve and has a nice syntax: mapeBase_v4(A::Vector{Float64}, F::Vector{Float64}) = reduce((0.0, 0), enumerate(A)) do result::Tuple{Float64, Int64}, current::Tuple{Int64, Float64} current[2] == 0.0 && return result # guard clause result[1] + abs( 1 - F[current[1]] / current[2]), result[2] + 1 end unfortunately it's unusable ;) 2016-10-26 8:01 GMT+02:00 Martin Florek <martin.flo...@2bridgz.com>: > Thank you everyone. v1 is very nice, as it turned out. I was looking for > the magic of language Julia especially for the generator. >
