1- using LinearSolve, SparseArrays
2- LinearSolve. defaultalg (nothing , zeros (3 )) isa GenericLUFactorization
3- LinearSolve. defaultalg (nothing , zeros (50 )) isa RFLUFactorization
4- LinearSolve. defaultalg (nothing , zeros (600 )) isa LUFactorization
5- LinearSolve. defaultalg (Diagonal (zeros (5 )), zeros (5 )) isa DiagonalFactorization
1+ using LinearSolve, LinearAlgebra, SparseArrays, Test
2+ @test LinearSolve. defaultalg (nothing , zeros (3 )) isa GenericLUFactorization
3+ @test LinearSolve. defaultalg (nothing , zeros (50 )) isa RFLUFactorization
4+ @test LinearSolve. defaultalg (nothing , zeros (600 )) isa LUFactorization
5+ @test LinearSolve. defaultalg (LinearAlgebra . Diagonal (zeros (5 )), zeros (5 )) isa DiagonalFactorization
66
7- LinearSolve. defaultalg (nothing , zeros (5 ), OperatorAssumptions{false }) isa QRFactorization
7+ @test LinearSolve. defaultalg (nothing , zeros (5 ), LinearSolve . OperatorAssumptions {false} () ) isa QRFactorization
88
9- LinearSolve. defaultalg (sprand (1000 ,1000 ,0.01 ), zeros (1000 )) isa KLUFactorization
10- LinearSolve. defaultalg (sprand (11000 ,11000 ,0.001 ), zeros (11000 )) isa UMFPACKFactorization
9+ @test LinearSolve. defaultalg (sprand (1000 ,1000 ,0.01 ), zeros (1000 )) isa KLUFactorization
10+ @test LinearSolve. defaultalg (sprand (11000 ,11000 ,0.001 ), zeros (11000 )) isa UMFPACKFactorization
0 commit comments