Remove parse_csv.jl and move it into break_aes.jl

break_script/break_aes.jl

@@ -4,9 +4,17 @@ include("util.jl")
 include("sbox.jl")
 include("plotutils.jl")
 
+function parse_csv(filename)
+    println("Starting parsing")
+    data = CSV.read(filename, header=0)
+    println("Parsing done")
+    plaintexts::Matrix{UInt8} = convert(Matrix{UInt8}, data[:, 1:16])
+    timings::Matrix{UInt32} = convert(Matrix{UInt32}, data[:, 17:17])
+    return plaintexts, timings
+end
+
 function break_aes()
-    plaintexts = load_file("plaintexts.dat", UInt8)[1:10_000, :]
-    timings = load_file("timings.dat", UInt32)[1:10_000]
+    plaintexts, timings = parse_csv("timing.csv")
     t_values = Vector{Float64}(undef, 0x100)
     for key=0:0xFF
         msb_set = (sbox[(plaintexts[:, 1] .⊻ key) .+ 1] .& 0x80) .!= 0

break_script/parse_csv.jl

@@ -1,42 +0,0 @@
-#!/usr/bin/env julia
-
-import CSV
-using Formatting
-
-function parse_csv(filename)
-    println("Starting parsing")
-    data = CSV.read(filename, header=0)
-    println("Parsing done")
-    plaintexts::Matrix{UInt8} = convert(Matrix{UInt8}, data[:, 1:16])
-    timings::Matrix{UInt32} = convert(Matrix{UInt32}, data[:, 17:17])
-    write_data("plaintexts.dat", plaintexts)
-    write_data("timings.dat", timings)
-end
-
-function write_data(destination, data)
-    open(destination, "w") do file
-        field_size::UInt8 = sizeof(eltype(data))
-        rows::UInt64 = size(data, 1)
-        cols::UInt64 = size(data, 2)
-        write(file, field_size);
-        write(file, rows)
-        write(file, cols)
-        write(file, data)
-    end
-end
-
-function load_file(filename, type::Type{T})::Matrix{T} where T
-    open(filename, "r") do file
-        field_size = read(file, UInt8)
-        if field_size != sizeof(T)
-            throw(ArgumentError(format("Expected type of size {:d} but passed type '{}' has size {:d}", field_size, T, sizeof(T))))
-        end
-        rows = read(file, UInt64)
-        cols = read(file, UInt64)
-        data = Matrix{T}(undef, rows, cols)
-        read!(file, data)
-        return data
-    end
-end
-
-@time parse_csv("timing.csv")