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| 1 | +using ColPack: ColPack, ColPackColoring |
| 2 | +using LinearAlgebra |
| 3 | +using SparseMatrixColorings |
| 4 | +using SparseMatrixColorings: NaturalOrder |
| 5 | +using SparseArrays |
| 6 | +using StableRNGs |
| 7 | +using Test |
| 8 | + |
| 9 | +rng = StableRNG(63) |
| 10 | + |
| 11 | +my_column_coloring(J) = column_coloring(J, GreedyColoringAlgorithm(NaturalOrder())) |
| 12 | +my_row_coloring(J) = row_coloring(J, GreedyColoringAlgorithm(NaturalOrder())) |
| 13 | +my_symmetric_coloring(H) = symmetric_coloring(H, GreedyColoringAlgorithm(NaturalOrder())) |
| 14 | + |
| 15 | +function colpack_column_coloring(J) |
| 16 | + A = ColPack.matrix2adjmatrix(J; partition_by_rows=false) |
| 17 | + coloring = ColPackColoring(A, ColPack.d1_coloring(), ColPack.natural_ordering()) |
| 18 | + return ColPack.get_colors(coloring) |
| 19 | +end |
| 20 | + |
| 21 | +function colpack_row_coloring(J) |
| 22 | + A = ColPack.matrix2adjmatrix(J; partition_by_rows=true) |
| 23 | + coloring = ColPackColoring(A, ColPack.d1_coloring(), ColPack.natural_ordering()) |
| 24 | + return ColPack.get_colors(coloring) |
| 25 | +end |
| 26 | + |
| 27 | +function colpack_symmetric_coloring(H) |
| 28 | + coloring = ColPackColoring(H, ColPack.star_coloring(), ColPack.natural_ordering()) |
| 29 | + return ColPack.get_colors(coloring) |
| 30 | +end |
| 31 | + |
| 32 | +n_values = floor.(Int, 10 .^ (1:3)) |
| 33 | +p_values(n) = (2:4:min(n, 20)) ./ n |
| 34 | + |
| 35 | +@testset verbose = true "Correctness" begin |
| 36 | + @testset "Column coloring" begin |
| 37 | + @testset "n=$n - p=$p" for n in n_values, p in p_values(n) |
| 38 | + J = sprand(rng, n, n + 1, p) |
| 39 | + color1 = my_column_coloring(J) |
| 40 | + color2 = colpack_column_coloring(J) |
| 41 | + @test color1 == color2 |
| 42 | + end |
| 43 | + end |
| 44 | + @testset "Row coloring" begin |
| 45 | + @testset "n=$n - p=$p" for n in n_values, p in p_values(n) |
| 46 | + J = sprand(rng, n, n + 1, p) |
| 47 | + color1 = my_row_coloring(J) |
| 48 | + color2 = colpack_row_coloring(J) |
| 49 | + @test color1 == color2 |
| 50 | + end |
| 51 | + end |
| 52 | + @testset "Symmetric coloring" begin |
| 53 | + @testset "n=$n - p=$p" for n in n_values, p in p_values(n) |
| 54 | + H = sparse(Symmetric(sprand(rng, n, n, p))) |
| 55 | + color1 = my_symmetric_coloring(H) |
| 56 | + color2 = colpack_symmetric_coloring(H) |
| 57 | + @test color1 == color2 |
| 58 | + end |
| 59 | + end |
| 60 | +end; |
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