Updated the explicit style example

[mrakgr]

I am new to Julia so I do not know if the example is merely out of date, but to get this to work I had to import the Random package explicitly.

using Omega
using Random
x_(rng) = rand(rng) > 0.5
x_(Random.GLOBAL_RNG)

Random doesn't seem to be in Base.

[mrakgr]

using Omega
using Random

function x_(rng)
  if bernoulli(rng, 0.5, Bool)::Bool
    normal(rng, 0.0, 1.0)::Float64
  else bernoulli(rng, 0.5, Bool)
    betarv(rng, 2.0, 2.0)::Float64
  end
end

x_(Random.GLOBAL_RNG)

ERROR: MethodError: no method matching bernoulli(::MersenneTwister, ::Float64, ::Type{Bool})
Closest candidates are:
  bernoulli(::Real, ::Real, ::Type{RT}) where RT at C:\Users\Marko\.julia\packages\Omega\zOdli\src\primitive\univariate.jl:26
  bernoulli(::Ω, ::Real, ::Any) at C:\Users\Marko\.julia\packages\Omega\zOdli\src\primitive\univariate.jl:28
  bernoulli(::Ω, ::Any, ::Any) at C:\Users\Marko\.julia\packages\Omega\zOdli\src\primitive\univariate.jl:29
  ...
Stacktrace:
 [1] x_(::MersenneTwister) at e:\ProbProg in Julia\01-Omega\tutorial.jl:5
 [2] top-level scope at none:0

Actually, it might be better to defer my earlier fix until we can figure out what is going on here. It does not seem that the prob distributions accept the MersenneTwister from the Random package. I am just following the tutorial as I go along.