fix format

Author: j-fu

lib/LinearSolvePardiso/src/LinearSolvePardiso.jl

@@ -7,11 +7,11 @@ using SparseArrays: nonzeros, rowvals, getcolptr
 using UnPack
 
 Base.@kwdef struct PardisoJL <: LinearSolve.SciMLLinearSolveAlgorithm
-    nprocs::Union{Int,Nothing} = nothing
-    solver_type::Union{Int,Pardiso.Solver,Nothing} = nothing
-    matrix_type::Union{Int,Pardiso.MatrixType,Nothing} = nothing
-    iparm::Union{Vector{Tuple{Int,Int}},Nothing} = nothing
-    dparm::Union{Vector{Tuple{Int,Int}},Nothing} = nothing
+    nprocs::Union{Int, Nothing} = nothing
+    solver_type::Union{Int, Pardiso.Solver, Nothing} = nothing
+    matrix_type::Union{Int, Pardiso.MatrixType, Nothing} = nothing
+    iparm::Union{Vector{Tuple{Int, Int}}, Nothing} = nothing
+    dparm::Union{Vector{Tuple{Int, Int}}, Nothing} = nothing
 end
 
 MKLPardisoFactorize(; kwargs...) = PardisoJL(; solver_type = 0, kwargs...)
@@ -20,19 +20,17 @@ LinearSolve.needs_concrete_A(alg::PardisoJL) = true
 
 # TODO schur complement functionality
 
-function LinearSolve.init_cacheval(
-    alg::PardisoJL,
-    A,
-    b,
-    u,
-    Pl,
-    Pr,
-    maxiters::Int,
-    abstol,
-    reltol,
-    verbose::Bool,
-    assumptions::LinearSolve.OperatorAssumptions,
-)
+function LinearSolve.init_cacheval(alg::PardisoJL,
+                                   A,
+                                   b,
+                                   u,
+                                   Pl,
+                                   Pr,
+                                   maxiters::Int,
+                                   abstol,
+                                   reltol,
+                                   verbose::Bool,
+                                   assumptions::LinearSolve.OperatorAssumptions)
     @unpack nprocs, solver_type, matrix_type, iparm, dparm = alg
     A = convert(AbstractMatrix, A)
 
@@ -103,12 +101,10 @@ function LinearSolve.init_cacheval(
         Pardiso.set_iparm!(solver, 3, round(Int, abs(log10(reltol)), RoundDown) * 10 + 1)
     end
 
-    Pardiso.pardiso(
-        solver,
-        u,
-        SparseMatrixCSC(size(A)..., getcolptr(A), rowvals(A), nonzeros(A)),
-        b,
-    )
+    Pardiso.pardiso(solver,
+                    u,
+                    SparseMatrixCSC(size(A)..., getcolptr(A), rowvals(A), nonzeros(A)),
+                    b)
 
     return solver
 end

lib/LinearSolvePardiso/test/runtests.jl

@@ -1,11 +1,9 @@
 using LinearSolve, LinearSolvePardiso, SparseArrays, Random
 
-A1 = sparse([
-    1.0 0 -2 3
-    0 5 1 2
-    -2 1 4 -7
-    3 2 -7 5
-])
+A1 = sparse([1.0 0 -2 3
+             0 5 1 2
+             -2 1 4 -7
+             3 2 -7 5])
 b1 = rand(4)
 prob1 = LinearProblem(A1, b1)