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

package/src/ExpressionExecutorCuda.jl

@@ -1,4 +1,5 @@
 module ExpressionExecutorCuda
+include("Utils.jl")
 include("ExpressionProcessing.jl")
 include("Interpreter.jl")
 
@@ -13,18 +14,26 @@ export test
 
 # Some assertions:
 # Variables and parameters start their naming with "1" meaning the first variable/parameter has to be "x1/p1" and not "x0/p0"
+# Matrix X is column major
 # each index i in exprs has to have the matching values in the column i in Matrix X so that X[:,i] contains the values for expr[i]. The same goes for p
 #     This assertion is made, because in julia, the first index doesn't have to be 1
 #
 
 # Evaluate Expressions on the GPU
 function interpret_gpu(exprs::Vector{Expr}, X::Matrix{Float32}, p::Vector{Vector{Float32}})::Matrix{Float32}
-	exprsPostfix = ExpressionProcessing.expr_to_postfix(exprs[1])
+	@assert axes(exprs) == axes(p)
+	ncols = size(X, 2)
+
+	result = Matrix{Float32}(undef, ncols, length(exprs))
+	# interpret
 end
 
 # Convert Expressions to PTX Code and execute that instead
 function evaluate_gpu(exprs::Vector{Expr}, X::Matrix{Float32}, p::Vector{Vector{Float32}})::Matrix{Float32}
-	# Look into this to maybe speed up PTX generation: https://cuda.juliagpu.org/stable/tutorials/introduction/#Parallelization-on-the-CPU
+	@assert axes(exprs) == axes(p)
+	ncols = size(X, 2)
+
+	result = Matrix{Float32}(undef, ncols, length(exprs))
 end