1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137
|
function test231
%TEST231 test GrB_select with idxunp
% SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2025, All Rights Reserved.
% SPDX-License-Identifier: Apache-2.0
[~, ~, ~, types, ~, ~, idxunops] = GB_spec_opsall ;
ops = idxunops ;
types_all = types.all ;
fprintf ('\n--- testing select with idxunops\n') ;
rng ('default') ;
ds.inp0 = 'tran' ;
track_coverage = false ;
if (track_coverage)
global GraphBLAS_grbcov
track_coverage = ~isempty (GraphBLAS_grbcov) ;
clast = sum (GraphBLAS_grbcov > 0) ;
cfirst = clast ;
end
% create test matrices
m = 4 ;
n = 5 ;
G {1} = sprand (m, n, 0.8) ;
S {1} = sprand (m, n, 0.5) ;
G {2} = sprand (m, 1, 0.8) ;
S {2} = sprand (m, 1, 0.5) ;
hi = 5 ;
lo = -1 ;
n_operators = 0 ;
for k2 = 1:length(ops)
opname = ops {k2} ;
% fprintf ('\n%-10s ', opname) ;
if (test_contains (opname, 'value'))
types = types_all ;
ythunks = 1 ;
sparsities = 1 ;
cscs = 1 ;
else
types = {'int64'} ;
ythunks = [-3 0 1] ;
sparsities = [1 4] ;
cscs = [0 1] ;
end
if (isequal (opname, 'rowindex'))
nmat = 2 ;
else
nmat = 1 ;
end
for k1 = 1:length (types)
type = types {k1} ;
% create the op
clear op
op.opname = opname ;
op.optype = type ;
[is_idxunop, ztype] = GB_spec_is_idxunop (opname, type) ;
if (~is_idxunop)
continue ;
end
for kmat = 1:nmat
% create the test matrix
Amat = (hi*G{kmat}-lo) .* S{kmat} ;
[m n] = size (Amat) ;
Cmat = sparse (m, n) ;
C.matrix = Cmat ;
C.class = ztype ;
CT.matrix = Cmat' ;
CT.class = ztype ;
A.matrix = Amat ;
A.class = type ;
B.matrix = spones (Amat) ;
B.class = type ;
B.iso = true ;
for ythunk = ythunks
y.matrix = ythunk ;
y.class = type ;
for csc = cscs
A.is_csc = csc ;
C.is_csc = csc ;
CT.is_csc = csc ;
for sparsity = sparsities % [1 4]
A.sparsity = sparsity ;
C1 = GB_mex_select_idxunop (C, [],[], op,0, A, y, []) ;
C2 = GB_spec_select_idxunop (C, [],[], op, A, y, []) ;
GB_spec_compare (C1, C2) ;
C1 = GB_mex_select_idxunop (C, [],[], op,0, B, y, []) ;
C2 = GB_spec_select_idxunop (C, [],[], op, B, y, []) ;
GB_spec_compare (C1, C2) ;
C1 = GB_mex_select_idxunop (CT,[],[], op,0, A, y, ds) ;
C2 = GB_spec_select_idxunop (CT,[],[], op, A, y, ds) ;
GB_spec_compare (C1, C2) ;
if (track_coverage)
c = sum (GraphBLAS_grbcov > 0) ;
d = c - clast ;
if (d > 0)
fprintf (...
'[%10s, %15s, %2d,%2d,%2d,%2d]', ...
opname, type, kmat, ythunk, ...
csc, sparsity) ;
fprintf (' (%d, %d)\n', d, c - cfirst) ;
end
clast = c ;
else
fprintf ('.') ;
end
end
end
end
end
end
end
fprintf ('\ntest231: all tests passed\n') ;
|