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use MLDBM;
my $c = 'c';
my $d = 'd';
my $data = { a => 1, b => [0,1], c => \$c };
$data->{recurse} = $data;
my $err_array = { a => 1, b => [0,2], c => \$c };
$err_array->{recurse} = $err_array;
my $err_hash = { a => 2, b => [0,1], c => \$c };
$err_hash->{recurse} = $err_hash;
my $err_scalar = { a => 1, b => [0,1], c => \$d };
$err_scalar->{recurse} = $err_scalar;
my $err_recurse = { a => 1, b => [0,1], c => \$c };
$err_recurse->{recurse} = {};
print "1..6\n";
for ($err_array, $err_hash, $err_scalar, $err_recurse) {
if(! &MLDBM::_compare($data, $_)) {
print "ok\n";
} else {
print "not ok\n";
}
}
my $data_ok = { a => 1, b => [0,1], c => \$c };
$data_ok->{recurse} = $data;
for ($data, $data_ok) {
if(&MLDBM::_compare($data, $_)) {
print "ok\n";
} else {
print "not ok\n";
}
}
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