Line data    Source code

       1           9 : spblockdiag(A::SparseOp; count::Int=1) =
       2             :     count == 1 ? copy(A) : spblockdiag((A for i in 1:count)...)
       3             : 
       4           5 : function spblockdiag(A::SparseOp...)
       5          19 :     m = sum(S -> size(S, 1), A)
       6          19 :     n = sum(S -> size(S, 2), A)
       7           5 :     nz = sum(map(nnz, A))
       8           5 :     T = Base.promote_type(map(eltype, A)...)
       9             : 
      10          24 :     i = zeros(Int, nz)
      11          24 :     j = zeros(Int, nz)
      12          24 :     v = zeros(T, nz)
      13             : 
      14           5 :     ofs = 0
      15           5 :     ofsi = 0
      16           5 :     ofsj = 0
      17             : 
      18           5 :     for S in A
      19          14 :         nzs = nnz(S)
      20          15 :         let (is, js, vs) = spfind(S)
      21          14 :             for k in 1:nzs
      22         164 :                 i[k + ofs] = is[k] + ofsi
      23         164 :                 j[k + ofs] = js[k] + ofsj
      24         164 :                 v[k + ofs] = vs[k]
      25         314 :             end
      26             :         end
      27          14 :         ofs += nzs
      28          15 :         ofsi += size(S, 1)
      29          15 :         ofsj += size(S, 2)
      30          19 :     end
      31             : 
      32           5 :     sparse(i, j, v, m, n)
      33             : end
      34             : 
      35             : # spblockdiag(A::Diagonal; count::Int=1) =
      36             : #     count == 1 ? copy(A) : Diagonal(repeat(diag(A), count))
      37             : 
      38             : # spblockdiag(A::Diagonal...) = Diagonal(vcat(map(diag,A)...))
      39             : 
      40             : """
      41             :     M = spblockdiag(A, B, C,...)
      42             :     M = spblockdiag(A, count=N)
      43             : 
      44             : Create a block diagonal matrix from sparse matrices (including
      45             : adjoints) or `Diagonal` matrices `A, B, C,...` .
      46             : 
      47             : !!! note
      48             :     `SparseArrays.blockdiag` is available and more efficient,
      49             :     but does not handle adjoints/transposed matrices.
      50             : 
      51             : """ spblockdiag
      52             : 
      53             : """
      54             :    M = blockdiag(A; count=n)
      55             :    M = blockdiag(A; count=Val(N))
      56             : 
      57             : Extends `SparseArrays.blockdiag` by passing an n-tuple of `A`s.
      58             : """
      59           6 : SparseArrays.blockdiag(A; count) = blockdiag(ntuple(_ -> A, count)...)