made it possible to send expression to gpu alongside the needed data

package/src/ExpressionExecutorCuda.jl

@@ -1,6 +1,6 @@
 module ExpressionExecutorCuda
-include("Interpreter.jl")
 include("ExpressionProcessing.jl")
+include("Interpreter.jl")
 
 export interpret_gpu
 export evaluate_gpu
@@ -33,28 +33,6 @@ end
 function evaluate_gpu(exprs::Vector{Expr}, X::Matrix{Float32}, p::Vector{Vector{Float32}})::Matrix{Float32}
 end
 
-function test() 
-	Interpreter.CudaTest()
-end
-
-"Performs pre processing steps to the expressions.
- - It replaces every variable with the according value stored in X and p.
- - It transforms the expressions into postfix form and returns them.
-"
-function preprocess_expressions!(exprs::Vector{Expr}, X::Matrix{Float64}, p::Vector{Vector{Float64}})::Array{String}
-	symtable = ExpressionProcessing.construct_symtable(exprs, X, p)
-	postfixExpressions = Array{String,1}()
-
-	# Test if multi threading provides a speedup and if it does, roughly determin the size at which it is beneficial.
-	for i in eachindex(exprs)
-		expr = deepcopy(exprs[i])
-		ExpressionProcessing.replace_variables!(exprs[i], symtable, expr)
-		push!(postfixExpressions, ExpressionProcessing.expr_to_postfix(exprs[i]))
-	end
-	
-	return postfixExpressions
-end
-
 end