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function test151b
%TEST151B test bitshift operators
% SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2025, All Rights Reserved.
% SPDX-License-Identifier: Apache-2.0
fprintf ('test151b: test bshift operator\n') ;
[~, ~, ~, types, ~, ~,] = GB_spec_opsall ;
types = types.int ;
ops2 = { 'bshift' } ;
int_nbits = [ 8, 16, 32, 64, 8, 16, 32, 64 ] ;
rng ('default') ;
Cin = sparse (4,4) ;
C10 = sparse (10,10) ;
desc.mask = 'complement' ;
track_coverage = false ;
if (track_coverage)
global GraphBLAS_grbcov
track_coverage = ~isempty (GraphBLAS_grbcov) ;
clast = sum (GraphBLAS_grbcov > 0) ;
cfirst = clast ;
end
for k = 1:8
type = types {k} ;
nbits = int_nbits (k) ;
for trial = 1:4
% create the test matrices
imax = double (intmax (type) / 4) ;
A = GB_mex_cast (imax * rand (4), type) ;
B = GB_mex_cast ((nbits-1) * rand (4), type) + 1 ;
clear A2 ; A2.matrix = sparse (double (A)) ; A2.class = type ;
clear B2 ; B2.matrix = sparse (double (B)) ; B2.class = 'int8' ;
A2.pattern = logical (spones (A)) ;
B2.pattern = logical (spones (B)) ;
M = sparse (mod (magic (4), 2)) ;
clear M2 ; M2.matrix = M ; M2.class = 'logical' ;
% determine the tests to run
Sparsities = { } ;
switch (k)
case 1
if (trial == 1)
Sparsities = {
{ 1, 1, 1, 1, 1}, ... % ( 3, 3)
{ 1, 1, 1, 1, 4}, ... % ( 3, 6)
{ 1, 1, 1, 4, 1}, ... % ( 9, 15)
{ 1, 1, 1, 4, 4}, ... % ( 8, 23)
{ 1, 1, 1, 8, 1}, ... % ( 4, 27)
{ 1, 1, 4, 1, 1}, ... % ( 6, 33)
{ 1, 1, 4, 1, 4}, ... % ( 6, 39)
{ 1, 1, 4, 4, 1}, ... % ( 10, 49)
{ 1, 1, 4, 4, 4}, ... % ( 1, 50)
{ 1, 1, 4, 8, 1}, ... % ( 4, 54)
{ 1, 1, 8, 1, 1}, ... % ( 2, 56)
{ 1, 1, 8, 8, 1}, ... % ( 3, 59)
{ 1, 1, 8, 8, 4}, ... % ( 2, 61)
} ;
elseif (trial == 4)
Sparsities = {
{ 1, 4, 1, 1, 1}, ... % ( 1, 62)
{ 1, 4, 1, 1, 4}, ... % ( 2, 64)
{ 1, 4, 4, 1, 1}, ... % ( 2, 66)
{ 1, 4, 4, 1, 4}, ... % ( 1, 67)
{ 1, 4, 4, 4, 4}, ... % ( 1, 68)
{ 1, 4, 4, 8, 1}, ... % ( 4, 72)
} ;
end
case 2
if (trial == 1)
Sparsities = {
{ 2, 1, 1, 1, 1}, ... % ( 5, 77)
{ 2, 1, 1, 4, 1}, ... % ( 1, 78)
{ 2, 1, 4, 1, 1}, ... % ( 1, 79)
{ 2, 1, 4, 4, 1}, ... % ( 2, 81)
} ;
end
case 3
if (trial == 1)
Sparsities = {
{ 3, 1, 1, 1, 1}, ... % ( 3, 84)
{ 3, 1, 1, 4, 1}, ... % ( 1, 85)
{ 3, 1, 4, 1, 1}, ... % ( 1, 86)
{ 3, 1, 4, 4, 1}, ... % ( 2, 88)
} ;
end
case 4
if (trial == 1)
Sparsities = {
{ 4, 1, 1, 1, 1}, ... % ( 3, 91)
{ 4, 1, 1, 4, 1}, ... % ( 1, 92)
{ 4, 1, 4, 1, 1}, ... % ( 1, 93)
{ 4, 1, 4, 4, 1}, ... % ( 2, 95)
} ;
end
case 5
if (trial == 1)
Sparsities = {
{ 5, 1, 1, 1, 1}, ... % ( 3, 98)
{ 5, 1, 1, 4, 1}, ... % ( 1, 99)
{ 5, 1, 4, 1, 1}, ... % ( 1, 100)
{ 5, 1, 4, 4, 1}, ... % ( 2, 102)
} ;
end
case 6
if (trial == 1)
Sparsities = {
{ 6, 1, 1, 1, 1}, ... % ( 3, 105)
{ 6, 1, 1, 4, 1}, ... % ( 1, 106)
{ 6, 1, 4, 1, 1}, ... % ( 1, 107)
{ 6, 1, 4, 4, 1}, ... % ( 2, 109)
} ;
end
case 7
if (trial == 1)
Sparsities = {
{ 7, 1, 1, 1, 1}, ... % ( 3, 112)
{ 7, 1, 1, 4, 1}, ... % ( 1, 113)
{ 7, 1, 4, 1, 1}, ... % ( 1, 114)
{ 7, 1, 4, 4, 1}, ... % ( 2, 116)
} ;
end
case 8
if (trial == 1)
Sparsities = {
{ 8, 1, 1, 1, 1}, ... % ( 3, 119)
{ 8, 1, 1, 4, 1}, ... % ( 1, 120)
{ 8, 1, 4, 1, 1}, ... % ( 1, 121)
{ 8, 1, 4, 4, 1}, ... % ( 2, 123)
} ;
end
end
% run the tests
for kk = 1:length(Sparsities)
Sparsity = Sparsities {kk} ;
A_sparsity = Sparsity {3} ;
B_sparsity = Sparsity {4} ;
M_sparsity = Sparsity {5} ;
A2.sparsity = A_sparsity ;
B2.sparsity = B_sparsity ;
M2.sparsity = M_sparsity ;
opname = 'bshift' ;
op.opname = opname ; op.optype = type ;
% C1 = bitop (A, B) ;
C1 = GB_spec_Matrix_eWiseMult(Cin, [], [], op, A2, B2, []) ;
C2 = GB_mex_Matrix_eWiseMult (Cin, [], [], op, A2, B2, []) ;
GB_spec_compare (C1, C2) ;
C1 = GB_spec_Matrix_eWiseAdd (Cin, [], [], op, A2, B2, []) ;
C2 = GB_mex_Matrix_eWiseAdd (Cin, [], [], op, A2, B2, []) ;
GB_spec_compare (C1, C2) ;
C1 = GB_spec_Matrix_eWiseUnion(Cin, [], [], op, A2, 3, B2, 2, []) ;
C2 = GB_mex_Matrix_eWiseUnion (Cin, [], [], op, A2, 3, B2, 2, []) ;
GB_spec_compare (C1, C2) ;
C1 = GB_spec_Matrix_eWiseAdd (Cin, [], [], op, B2, A2, []) ;
C2 = GB_mex_Matrix_eWiseAdd (Cin, [], [], op, B2, A2, []) ;
GB_spec_compare (C1, C2) ;
C1 = GB_spec_Matrix_eWiseUnion(Cin, [], [], op, B2, 3, A2, 2, []) ;
C2 = GB_mex_Matrix_eWiseUnion (Cin, [], [], op, B2, 3, A2, 2, []) ;
GB_spec_compare (C1, C2) ;
C1 = GB_spec_Matrix_eWiseMult(Cin, M2, [], op, A2, B2, []) ;
C2 = GB_mex_Matrix_eWiseMult (Cin, M2, [], op, A2, B2, []) ;
GB_spec_compare (C1, C2) ;
C1 = GB_spec_Matrix_eWiseAdd (Cin, M2, [], op, A2, B2, []) ;
C2 = GB_mex_Matrix_eWiseAdd (Cin, M2, [], op, A2, B2, []) ;
GB_spec_compare (C1, C2) ;
C1 = GB_spec_Matrix_eWiseUnion (Cin, M2, [], op, A2, 1, B2, 3, []) ;
C2 = GB_mex_Matrix_eWiseUnion (Cin, M2, [], op, A2, 1, B2, 3, []) ;
GB_spec_compare (C1, C2) ;
C1 = GB_spec_Matrix_eWiseMult(Cin, M2, [], op, A2, B2, desc) ;
C2 = GB_mex_Matrix_eWiseMult (Cin, M2, [], op, A2, B2, desc) ;
GB_spec_compare (C1, C2) ;
C1 = GB_spec_Matrix_eWiseAdd (Cin, M2, [], op, A2, B2, desc) ;
C2 = GB_mex_Matrix_eWiseAdd (Cin, M2, [], op, A2, B2, desc) ;
GB_spec_compare (C1, C2) ;
if (track_coverage)
c = sum (GraphBLAS_grbcov > 0) ;
d = c - clast ;
if (d > 0)
fprintf (...
'{%2d,%2d,%2d,%2d,%2d}, ... ', ...
k, trial, A_sparsity, B_sparsity, M_sparsity) ;
fprintf ('%% (%3d, %4d)\n', d, c - cfirst) ;
end
clast = c ;
else
fprintf ('.') ;
end
end
end
end
fprintf ('\ntest151b: all tests passed\n') ;
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