julia05_slow2.jl

using Distributions
using BenchmarkTools

function lratio2{FT}(dd::Dict{FT,Tuple{Float64, ContinuousUnivariateDistribution}})

  num::Float64 = 0.0
  denom::Float64 = 0

  for (k, v) in dd
    pDiscrete = v[1]
    pContinuousGivenDiscrete = 1.2
    denom += pDiscrete * pContinuousGivenDiscrete
  end

  return num / denom
end

FT = Int
dd = Dict{FT,Tuple{Float64, ContinuousUnivariateDistribution}}()
# dd[1] = (0.1,TDist(0.1))
# dd[2] = (0.2,TDist(0.2))
dd[1] = (0.1,Normal(0.1))
dd[2] = (0.2,Normal(0.2))

for i in 1:10
    dd[i] = (rand(1)[1],Normal(0.2))
end

lratio2(dd)
@benchmark lratio2(dd)