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function test14
%TEST14 test GrB_reduce
% SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
% SPDX-License-Identifier: Apache-2.0
fprintf ('\ntest14: reduce to column and scalar\n') ;
[~, ~, add_ops, types, ~, ~] = GB_spec_opsall ;
types = types.all ;
rng ('default') ;
m = 8 ;
n = 4 ;
dt = struct ('inp0', 'tran') ;
for k1 = 1:length(types)
atype = types {k1} ;
fprintf ('.') ;
A = GB_spec_random (m, n, 0.3, 100, atype) ;
B = GB_spec_random (n, m, 0.3, 100, atype) ;
w = GB_spec_random (m, 1, 0.3, 100, atype) ;
cin = GB_mex_cast (0, atype) ;
clear S_input
S_input.matrix = cin ;
S_input.pattern = true ;
S_input.class = atype ;
clear E_input
E_input.matrix = sparse (0) ;
E_input.pattern = false ;
E_input.class = atype ;
mask = GB_random_mask (m, 1, 0.5, true, false) ;
if (isequal (atype, 'logical'))
ops = {'or', 'and', 'xor', 'eq', 'any'} ;
else
ops = {'min', 'max', 'plus', 'times', 'any'} ;
end
if (isequal (atype, 'double'))
hrange = [0 1] ;
crange = [0 1] ;
else
hrange = 0 ;
crange = 1 ;
end
is_float = test_contains (atype, 'single') || test_contains (atype, 'double') ;
for A_is_hyper = 0:1
for A_is_csc = 0:1
A.is_csc = A_is_csc ; A.is_hyper = A_is_hyper ;
B.is_csc = A_is_csc ; B.is_hyper = A_is_hyper ;
for k2 = 1:length(add_ops)
op = add_ops {k2} ;
if (isequal (op, 'any'))
tol = [ ] ;
elseif (test_contains (atype, 'single'))
tol = 1e-5 ;
elseif (test_contains (atype, 'double'))
tol = 1e-12 ;
else
tol = 0 ;
end
try
GB_spec_operator (op, atype) ;
identity = GB_spec_identity (op, atype) ;
catch
continue
end
% no mask
w1 = GB_spec_reduce_to_vector (w, [], [], op, A, []) ;
w2 = GB_mex_reduce_to_vector (w, [], [], op, A, []) ;
GB_spec_compare (w1, w2, identity, tol) ;
% no mask, with accum
w1 = GB_spec_reduce_to_vector (w, [], 'plus', op, A, []) ;
w2 = GB_mex_reduce_to_vector (w, [], 'plus', op, A, []) ;
GB_spec_compare (w1, w2, identity, tol) ;
% with mask
w1 = GB_spec_reduce_to_vector (w, mask, [], op, A, []) ;
w2 = GB_mex_reduce_to_vector (w, mask, [], op, A, []) ;
GB_spec_compare (w1, w2, identity, tol) ;
% with mask and accum
w1 = GB_spec_reduce_to_vector (w, mask, 'plus', op, A, []) ;
w2 = GB_mex_reduce_to_vector (w, mask, 'plus', op, A, []) ;
GB_spec_compare (w1, w2, identity, tol) ;
% no mask, transpose
w1 = GB_spec_reduce_to_vector (w, [], [], op, B, dt) ;
w2 = GB_mex_reduce_to_vector (w, [], [], op, B, dt) ;
GB_spec_compare (w1, w2, identity, tol) ;
% no mask, with accum, transpose
w1 = GB_spec_reduce_to_vector (w, [], 'plus', op, B, dt) ;
w2 = GB_mex_reduce_to_vector (w, [], 'plus', op, B, dt) ;
GB_spec_compare (w1, w2, identity, tol) ;
% with mask, transpose
w1 = GB_spec_reduce_to_vector (w, mask, [], op, B, dt) ;
w2 = GB_mex_reduce_to_vector (w, mask, [], op, B, dt) ;
GB_spec_compare (w1, w2, identity, tol) ;
% with mask and accum, transpose
w1 = GB_spec_reduce_to_vector (w, mask, 'plus', op, B, dt) ;
w2 = GB_mex_reduce_to_vector (w, mask, 'plus', op, B, dt) ;
GB_spec_compare (w1, w2, identity, tol) ;
% GB_spec_reduce_to_scalar always operates column-wise, but GrB_reduce
% operates in whatever order it is given: by column if CSC or by row if
% CSR. The result can vary slightly because of different round off
% errors. A_flip causes GB_spec_reduce_to_scalar to operate in the
% same order as GrB_reduce.
A_flip = A ;
if (~A.is_csc && is_float)
A_flip.matrix = A_flip.matrix.' ;
A_flip.pattern = A_flip.pattern' ;
A_flip.is_csc = true ;
end
% Parallel reduction leads to different roundoff. So even with A_flip,
% c1 and c2 can only be compared to within round-off error.
% to scalar
c2 = GB_mex_reduce_to_scalar (cin, [ ], op, A) ;
if (isequal (op, 'any'))
X = GB_mex_cast (full (A.matrix (A.pattern)), A.class) ;
assert (any (X == c2)) ;
else
c1 = GB_spec_reduce_to_scalar (cin, [ ], op, A_flip) ;
if (is_float)
assert (abs (c1-c2) < tol * (abs(c1) + 1))
else
assert (isequal (c1, c2)) ;
end
end
% to GrB_Scalar
S = GB_mex_reduce_to_GrB_Scalar (S_input, [ ], op, A) ;
c2 = S.matrix ;
if (isequal (op, 'any'))
X = GB_mex_cast (full (A.matrix (A.pattern)), A.class) ;
assert (any (X == c2)) ;
else
c1 = GB_spec_reduce_to_scalar (cin, [ ], op, A_flip) ;
if (is_float)
assert (abs (c1-c2) < tol * (abs(c1) + 1))
else
assert (isequal (c1, c2)) ;
end
end
% to GrB_Scalar
S = GB_mex_reduce_to_GrB_Scalar (E_input, [ ], op, A) ;
c2 = S.matrix ;
if (isequal (op, 'any'))
X = GB_mex_cast (full (A.matrix (A.pattern)), A.class) ;
assert (any (X == c2)) ;
else
c1 = GB_spec_reduce_to_scalar (cin, [ ], op, A_flip) ;
if (is_float)
assert (abs (c1-c2) < tol * (abs(c1) + 1))
else
assert (isequal (c1, c2)) ;
end
end
% vector to GrB_Scalar
S = GB_mex_reduce_to_GrB_Scalar (S_input, [ ], op, w) ;
c2 = S.matrix ;
if (isequal (op, 'any'))
X = GB_mex_cast (full (w.matrix (w.pattern)), w.class) ;
assert (any (X == c2)) ;
else
c1 = GB_spec_reduce_to_scalar (cin, [ ], op, w) ;
if (is_float)
assert (abs (c1-c2) < tol * (abs(c1) + 1))
else
assert (isequal (c1, c2)) ;
end
end
% to scalar, with accum
c2 = GB_mex_reduce_to_scalar (cin, 'plus', op, A) ;
if (~isequal (op, 'any'))
c1 = GB_spec_reduce_to_scalar (cin, 'plus', op, A_flip) ;
if (is_float)
assert (abs (c1-c2) < tol * (abs(c1) + 1))
else
assert (isequal (c1, c2)) ;
end
end
% to GrB_Scalar, with accum
S = GB_mex_reduce_to_GrB_Scalar (S_input, 'plus', op, A) ;
c2 = S.matrix ;
if (~isequal (op, 'any'))
c1 = GB_spec_reduce_to_scalar (cin, 'plus', op, A_flip) ;
if (is_float)
assert (abs (c1-c2) < tol * (abs(c1) + 1))
else
assert (isequal (c1, c2)) ;
end
end
% vector to GrB_Scalar, with accum
S = GB_mex_reduce_to_GrB_Scalar (S_input, 'plus', op, w) ;
c2 = S.matrix ;
if (~isequal (op, 'any'))
c1 = GB_spec_reduce_to_scalar (cin, 'plus', op, w) ;
if (is_float)
assert (abs (c1-c2) < tol * (abs(c1) + 1))
else
assert (isequal (c1, c2)) ;
end
end
end
end
end
end
clear A
A.matrix = sparse (4,5) ;
A.pattern = false (4,5) ;
A.class = 'double' ;
clear S_input
S_input.matrix = 1 ;
S_input.pattern = true ;
S_input.class = 'double' ;
% empty matrix to GrB_Scalar
S = GB_mex_reduce_to_GrB_Scalar (S_input, [ ], 'plus', A) ;
assert (nnz (S.matrix) == 0) ;
fprintf ('\ntest14: all tests passed\n') ;
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