Hands-On Design Patterns and Best Practices with Julia

Considering various options for argument types

Julia's dispatch mechanism can select the right function to call as long as the type of the arguments being passed matches the signature of the function. Based upon the type hierarchy, we can possibly specify abstract types and the function still gets selected properly.

Such flexibility gives us many options. We can consider any of the following:

• sumprod(A::Vector{Float64}, B::Vector{Float64})
• sumprod(A::Vector{Number}, B::Vector{Number})
• sumprod(A::Vector{T}, B::Vector{T}) where T <: Number
• sumprod(A::Vector{S}, B::Vector{T}) where {S <: Number, T <: Number}
• sumprod(A::Array{S,N}, B::Array{T,N}) where {N, S <: Number, T <: Number}
• sumprod(A::AbstractArray{S,N}, B::AbstractArray{T,N}) where ...