Julia interface to hypre linear solvers (https://github.com/hypre-space/hypre)
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using HYPRE
using HYPRE.LibHYPRE
using Test
using SparseArrays
using SparseMatricesCSR
using MPI
MPI.Init()
@testset "HYPREMatrix" begin
H = HYPREMatrix()
@test H.IJMatrix == HYPRE_IJMatrix(C_NULL)
@test H.ParCSRMatrix == HYPRE_ParCSRMatrix(C_NULL)
ilower, iupper = 4, 6
CSC = convert(SparseMatrixCSC{HYPRE_Complex, HYPRE_Int}, sparse([
1 2 0 0 3
0 4 0 5 0
0 6 7 0 8
]))
CSR = sparsecsr(findnz(CSC)..., size(CSC)...)
@test CSC == CSR
csc = HYPRE.Internals.to_hypre_data(CSC, ilower, iupper)
csr = HYPRE.Internals.to_hypre_data(CSR, ilower, iupper)
@test csc[1]::HYPRE_Int == csr[1]::HYPRE_Int == 3 # nrows
@test csc[2]::Vector{HYPRE_Int} == csr[2]::Vector{HYPRE_Int} == [3, 2, 3] # ncols
@test csc[3]::Vector{HYPRE_BigInt} == csr[3]::Vector{HYPRE_BigInt} == [4, 5, 6] # rows
@test csc[4]::Vector{HYPRE_BigInt} == csr[4]::Vector{HYPRE_BigInt} == [1, 2, 5, 2, 4, 2, 3, 5] # cols
@test csc[5]::Vector{HYPRE_Complex} == csr[5]::Vector{HYPRE_Complex} == 1:8 # values
# Optimizations for CSR matrix
@test csr[4] == CSR.colval
@test_broken csr[4] === CSR.colval
@test csr[5] == CSR.nzval
@test_broken csr[5]::Vector{HYPRE_Complex} === CSR.nzval
@test_throws ArgumentError HYPRE.Internals.to_hypre_data(CSC, ilower, iupper-1)
@test_throws ArgumentError HYPRE.Internals.to_hypre_data(CSR, ilower, iupper+1)
# Converting SparseMatrixCS(C|R) to HYPREMatrix
ilower, iupper = 6, 10
CSC = sprand(5, 10, 0.3)
CSR = sparsecsr(findnz(CSC)..., size(CSC)...)
@test CSC == CSR
H = HYPREMatrix(CSC, ilower, iupper)
@test H.IJMatrix != HYPRE_IJMatrix(C_NULL)
@test H.ParCSRMatrix != HYPRE_ParCSRMatrix(C_NULL)
H = HYPREMatrix(CSR, ilower, iupper)
@test H.IJMatrix != HYPRE_IJMatrix(C_NULL)
@test H.ParCSRMatrix != HYPRE_ParCSRMatrix(C_NULL)
end
@testset "HYPREVector" begin
h = HYPREVector()
@test h.IJVector == HYPRE_IJVector(C_NULL)
@test h.ParVector == HYPRE_ParVector(C_NULL)
ilower, iupper = 1, 10
b = rand(HYPRE_Complex, 10)
nvalues, indices, values = HYPRE.Internals.to_hypre_data(b, ilower, iupper)
@test nvalues::HYPRE_Int == 10
@test indices::Vector{HYPRE_Int} == collect(1:10)
@test values::Vector{HYPRE_Complex} === b # === for correct eltype
b = rand(1:10, 10)
nvalues, indices, values = HYPRE.Internals.to_hypre_data(b, ilower, iupper)
@test nvalues::HYPRE_Int == 10
@test indices::Vector{HYPRE_Int} == collect(1:10)
@test values::Vector{HYPRE_Complex} == b # == for other eltype
@test_throws ArgumentError HYPRE.Internals.to_hypre_data([1, 2], ilower, iupper)
# Converting Vector to HYPREVector
b = rand(HYPRE_Complex, 10)
h = HYPREVector(b, ilower, iupper)
@test h.IJVector != HYPRE_IJVector(C_NULL)
@test h.ParVector != HYPRE_ParVector(C_NULL)
@test_throws ArgumentError HYPREVector([1, 2], ilower, iupper)
end