Add comparison with ColPack to tests

test/Project.toml

@@ -2,6 +2,7 @@
 Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
 CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
 Chairmarks = "0ca39b1e-fe0b-4e98-acfc-b1656634c4de"
+ColPack = "ffa27691-3a59-46ab-a8d4-551f45b8d401"
 Compat = "34da2185-b29b-5c13-b0c7-acf172513d20"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
@@ -12,3 +13,6 @@ MatrixDepot = "b51810bb-c9f3-55da-ae3c-350fc1fbce05"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+
+[compat]
+ColPack = "0.4"

test/colpack.jl

@@ -0,0 +1,60 @@
+using ColPack: ColPack, ColPackColoring
+using LinearAlgebra
+using SparseMatrixColorings
+using SparseMatrixColorings: NaturalOrder
+using SparseArrays
+using StableRNGs
+using Test
+
+rng = StableRNG(63)
+
+my_column_coloring(J) = column_coloring(J, GreedyColoringAlgorithm(NaturalOrder()))
+my_row_coloring(J) = row_coloring(J, GreedyColoringAlgorithm(NaturalOrder()))
+my_symmetric_coloring(H) = symmetric_coloring(H, GreedyColoringAlgorithm(NaturalOrder()))
+
+function colpack_column_coloring(J)
+    A = ColPack.matrix2adjmatrix(J; partition_by_rows=false)
+    coloring = ColPackColoring(A, ColPack.d1_coloring(), ColPack.natural_ordering())
+    return ColPack.get_colors(coloring)
+end
+
+function colpack_row_coloring(J)
+    A = ColPack.matrix2adjmatrix(J; partition_by_rows=true)
+    coloring = ColPackColoring(A, ColPack.d1_coloring(), ColPack.natural_ordering())
+    return ColPack.get_colors(coloring)
+end
+
+function colpack_symmetric_coloring(H)
+    coloring = ColPackColoring(H, ColPack.star_coloring(), ColPack.natural_ordering())
+    return ColPack.get_colors(coloring)
+end
+
+n_values = floor.(Int, 10 .^ (1:3))
+p_values(n) = (2:4:min(n, 20)) ./ n
+
+@testset verbose = true "Correctness" begin
+    @testset "Column coloring" begin
+        @testset "n=$n - p=$p" for n in n_values, p in p_values(n)
+            J = sprand(rng, n, n + 1, p)
+            color1 = my_column_coloring(J)
+            color2 = colpack_column_coloring(J)
+            @test color1 == color2
+        end
+    end
+    @testset "Row coloring" begin
+        @testset "n=$n - p=$p" for n in n_values, p in p_values(n)
+            J = sprand(rng, n, n + 1, p)
+            color1 = my_row_coloring(J)
+            color2 = colpack_row_coloring(J)
+            @test color1 == color2
+        end
+    end
+    @testset "Symmetric coloring" begin
+        @testset "n=$n - p=$p" for n in n_values, p in p_values(n)
+            H = sparse(Symmetric(sprand(rng, n, n, p)))
+            color1 = my_symmetric_coloring(H)
+            color2 = colpack_symmetric_coloring(H)
+            @test color1 == color2
+        end
+    end
+end;

test/runtests.jl

@@ -54,6 +54,9 @@ include("reference/figures.jl")
         end
     end
     @testset verbose = true "Comparison" begin
+        @testset "ColPack.jl" begin
+            include("colpack.jl")
+        end
         @testset "SuiteSparse" begin
             include("suitesparse.jl")
         end