59 lines
1.5 KiB
Julia
59 lines
1.5 KiB
Julia
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include("utils.jl")
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function convert_to_binary(string)
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map(x->x=='#' ? 1 : 0, collect(string))
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end
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function parse_input(filename, iterations)
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lines = collect(non_empty_lines(filename))
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algorithm = convert_to_binary(lines[1])
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dim = length(lines[2])
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buffered_dim = 2 * iterations + dim
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fix_lines = fill(fill(0, buffered_dim), iterations)
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i = [fix_lines;
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map(convert_to_binary, map(x-> reduce(*, fill(".", iterations)) * x * reduce(*, fill(".", iterations)), lines[2:length(lines)]));
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fix_lines]
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image = transpose(reshape(reduce(vcat, i), buffered_dim, buffered_dim))
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algorithm, image
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end
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function getv(algorithm, image, i, x, y)
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address = []
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for ox in (x-1):(x+1)
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for oy in (y-1):(y+1)
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if ox < 1 || ox > size(image)[1] || oy < 1 || oy > size(image)[1]
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# example
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# push!(address, "0")
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# real
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push!(address, i % 2 == 1 ? "0" : "1")
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else
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push!(address, string(image[ox,oy]))
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end
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end
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end
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algorithm[parse(Int, reduce(*, address), base=2)+1]
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end
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function enhance(fname, iterations)
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algorithm, image = parse_input(fname, iterations)
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for i in 1:iterations
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new = copy(image)
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for x in 1:size(image)[1]
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for y in 1:size(image)[1]
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new[x, y] = getv(algorithm, image, i, x, y)
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end
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end
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image = new
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end
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length(filter(==(1), image))
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end
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function solution20_1()
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enhance("20.data", 50)
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end
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solution20_1()
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