fix typo: makeempty_SparaseMatrixCSC -> makeempty_SparseMatrixCSC

Author: j-fu

ext/LinearSolveSparseArraysExt.jl

@@ -15,7 +15,7 @@ LinearSolve.issparsematrix(A::AbstractSparseArray) = true
 function LinearSolve.make_SparseMatrixCSC(A::AbstractSparseArray)
     SparseMatrixCSC(size(A)..., getcolptr(A), rowvals(A), nonzeros(A))
 end
-function LinearSolve.makeempty_SparaseMatrixCSC(A::AbstractSparseArray)
+function LinearSolve.makeempty_SparseMatrixCSC(A::AbstractSparseArray)
     SparseMatrixCSC(0, 0, [1], Int[], eltype(A)[])
 end
 

src/LinearSolve.jl

@@ -92,7 +92,7 @@ issparsematrixcsc(A) = false
 handle_sparsematrixcsc_lu(A) = lu(A)
 issparsematrix(A) = false
 make_SparseMatrixCSC(A) = nothing
-makeempty_SparaseMatrixCSC(A) = nothing
+makeempty_SparseMatrixCSC(A) = nothing
 
 EnumX.@enumx DefaultAlgorithmChoice begin
     LUFactorization

src/iterative_wrappers.jl

@@ -196,15 +196,15 @@ function init_cacheval(alg::KrylovJL, A, b, u, Pl, Pr, maxiters::Int, abstol, re
                      alg.KrylovAlg === Krylov.gpmr! ||
                      alg.KrylovAlg === Krylov.fom!)
             if issparsematrixcsc(A)
-                KS(makeempty_SparaseMatrixCSC(A), eltype(b)[], 1)
+                KS(makeempty_SparseMatrixCSC(A), eltype(b)[], 1)
             elseif A isa Matrix
                 KS(Matrix{eltype(A)}(undef, 0, 0), eltype(b)[], 1)
             else
                 KS(A, b, 1)
             end
         else
             if issparsematrixcsc(A)
-                KS(makeempty_SparaseMatrixCSC(A), eltype(b)[])
+                KS(makeempty_SparseMatrixCSC(A), eltype(b)[])
             elseif A isa Matrix
                 KS(Matrix{eltype(A)}(undef, 0, 0), eltype(b)[])
             else