59 lines
2.1 KiB
Julia
59 lines
2.1 KiB
Julia
include("tuple_tools.jl")
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import Combinatorics: powerset
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import XXhash: xxh3_64
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# since differences fully represent the structure, everything may be faster if we just dump the explicit
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# location data and work only on the differences
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struct PolyCube
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cubes::Vector{Coord}
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oriented_differences::Vector{Vector{Coord}}
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last_added::Vector{Coord}
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end
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function PolyCube(cubes::Vector{Coord}, last_added::Vector{Coord})
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return PolyCube(sort!(cubes), _calculate_oriented_differences(cubes), last_added)
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end
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# possible improvement: since reorientation[1] == cubes, skip the insertion sterp, and benefit from having cubes sorted.
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# then skip sorting in constructor
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function _calculate_oriented_differences(cubes::Vector{Coord})
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n_orientations = 24
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n_cubes = length(cubes)
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reorientation = Vector{Coord}(undef, n_cubes)
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oriented_differences = Vector{Vector{Coord}}(undef, n_orientations)
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for i ∈ 1:n_orientations
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for j ∈ 1:n_cubes
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reorientation[j] = orient_tuple(cubes[j], i)
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end
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sort!(reorientation)
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reference_cube = reorientation[1]
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oriented_differences[i] = Vector{Coord}(undef, n_cubes-1)
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for j ∈ 1:n_cubes-1
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oriented_differences[j] = reference_cube - reorientation[j+1]
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end
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end
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return oriented_differences
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end
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function generate_children(pcube::PolyCube, n_max::Int)
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cubes = pcube.cubes
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allowed_growth = n_max - length(cubes)
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growth_candidates = Vector{Coord}(undef, 0)
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for root_cube ∈ pcube.last_added
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for neighbor ∈ neighbors(root_cube...)
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pos_growth_candidates = searchsortedfirst(growth_candidates, neighbor)
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# consider flipping following ||, it MAY imrove performance
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if growth_candidates[pos_growth_candidates] != neighbor || !isempty(searchsorted(cubes, neighbor))
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insert!(growth_candidates, pos_growth_candidates, neighbor)
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end
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end
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end
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return Iterators.map(x -> PolyCube(vcat(cubes, x), x), powerset(growth_candidates, 1, allowed_growth))
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end
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function hash!(pcube::PolyCube, UInt::h) -> UInt
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return xxh3_64(pcube.oriented_differences[1])
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end
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