code: started finalising transpilation process and preparing for performance testing and tuning

package/src/Utils.jl

@@ -0,0 +1,42 @@
+module Utils
+
+"Converts a vector of vectors into a matrix. The inner vectors do not need to have the same length.
+
+All entries that cannot be filled have ```invalidElement``` as their value
+"
+function convert_to_matrix(vec::Vector{Vector{T}}, invalidElement::T)::Matrix{T} where T
+	vecCols = get_max_inner_length(vec)
+	vecRows = length(vec)
+	vecMat = fill(invalidElement, vecCols, vecRows)
+	
+	for i in eachindex(vec)
+		vecMat[:,i] = copyto!(vecMat[:,i], vec[i])
+	end
+
+	return vecMat
+end
+
+"Retrieves the number of entries for the largest inner vector"
+function get_max_inner_length(vec::Vector{Vector{T}})::Int where T
+	maxLength = 0
+	@inbounds for i in eachindex(vec)
+		if length(vec[i]) > maxLength
+			maxLength = length(vec[i])
+		end
+	end
+
+	return maxLength
+end
+
+"Returns a CuArray filed with the data provided. The inner vectors do not have to have the same length. All missing elements will be the value ```invalidElement```"
+function create_cuda_array(data::Vector{Vector{T}}, invalidElement::T)::CuArray{T} where T
+	dataCols = Utils.get_max_inner_length(data)
+	dataRows = length(data)
+	dataMat = Utils.convert_to_matrix(data, invalidElement)
+	cudaArr = CuArray{T}(undef, dataCols, dataRows) # length(parameters) == number of expressions
+	copyto!(cudaArr, dataMat)
+
+	return cudaArr
+end
+
+end