function C = GB_spec_kron (C, Mask, accum, mult, A, B, descriptor)
%GB_SPEC_KRON a MATLAB mimic of GrB_kronecker
%
% Usage:
% C = GB_spec_kron (C, Mask, accum, mult, A, B, descriptor)
%
% Computes C<Mask> = accum(C,T), in GraphBLAS notation, where T = kron(A,B),
% kron(A',B), kron(A,B') or kron(A',B')

% SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
% SPDX-License-Identifier: Apache-2.0

%-------------------------------------------------------------------------------
% get inputs
%-------------------------------------------------------------------------------

if (nargout > 1 || nargin ~= 7)
    error ('usage: C = GB_spec_kron (C, Mask, accum, mult, A, B, descriptor)') ;
end

C = GB_spec_matrix (C) ;
A = GB_spec_matrix (A) ;
B = GB_spec_matrix (B) ;
[mult_op xyclass ztype xtype ytype] = GB_spec_operator (mult, C.class) ;
[C_replace Mask_comp Atrans Btrans Mask_struct] = ...
    GB_spec_descriptor (descriptor) ;
Mask = GB_spec_getmask (Mask, Mask_struct) ;

%-------------------------------------------------------------------------------
% do the work via a clean MATLAB interpretation of the entire GraphBLAS spec
%-------------------------------------------------------------------------------

% apply the descriptor to A
if (Atrans)
    A.matrix = A.matrix.' ;
    A.pattern = A.pattern' ;
end

% apply the descriptor to B
if (Btrans)
    B.matrix = B.matrix.' ;
    B.pattern = B.pattern' ;
end

% T = A.*B, with typecasting
[anrows, ancols] = size (A.matrix) ;
[bnrows, bncols] = size (B.matrix) ;
cnrows = anrows * bnrows ;
cncols = ancols * bncols ;
T.matrix  = GB_spec_zeros ([cnrows cncols], ztype) ;
T.pattern = false (cnrows, cncols) ;

% first cast the inputs into the x,y types of the operator
A1 = GB_mex_cast (A.matrix, xtype) ;
B1 = GB_mex_cast (B.matrix, ytype) ;

for ja = 1:ancols
    for ia = 1:anrows
        if (A.pattern (ia,ja))
            for jb = 1:bncols
                for ib = 1:bnrows
                    if (B.pattern (ib,jb))
                        i = (ia-1) * bnrows + ib ;
                        j = (ja-1) * bncols + jb ;
                        if (GB_spec_is_positional (mult))
                            z = GB_spec_binop_positional (mult_op,ia,ja,ib,jb) ;
                        else
                            z = GB_spec_op (mult, A1 (ia,ja), B1 (ib,jb)) ;
                        end
                        T.matrix (i,j) = z ;
                        T.pattern (i,j) = true ;
                    end
                end
            end
        end
    end
end

%{
    % do the values
    S = GB_spec_zeros ([bnrows bncols], xtype) ;
    for j = 1:ancols
        for i = 1:anrows
            if A.pattern (i,j)
                S (:,:) = A1 (i,j) ;
                ci = (i-1) * bnrows + 1 ;
                cj = (j-1) * bncols + 1 ;
                p = B.pattern ;
                K = GB_spec_op (mult, S(p), B1(p)) ;
                Tblock = GB_spec_zeros ([bnrows bncols], ztype) ;
                Tblock (p) = K ;
                T.matrix  (ci:ci+bnrows-1, cj:cj+bncols-1) = Tblock ;
                T.pattern (ci:ci+bnrows-1, cj:cj+bncols-1) = B.pattern ;
            end
        end
    end
%}

assert (isequal (ztype, GB_spec_type (T.matrix))) ;
T.class = ztype ;

% C<Mask> = accum (C,T): apply the accum, then Mask, and return the result
C = GB_spec_accum_mask (C, Mask, accum, T, C_replace, Mask_comp, 0) ;


