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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
// Intel License Agreement
// For Open Source Computer Vision Library
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#include "test_precomp.hpp"
namespace opencv_test { namespace {
class CV_LshTableBadArgTest : public cvtest::BadArgTest
{
protected:
void run(int);
void run_func(void) { }
struct Caller
{
int table_number, key_size, multi_probe_level;
Mat features;
void operator()() const
{
flann::LshIndexParams indexParams(table_number, key_size, multi_probe_level);
flann::Index lsh(features, indexParams);
}
};
};
void CV_LshTableBadArgTest::run( int /* start_from */ )
{
RNG &rng = ts->get_rng();
Caller caller;
Size featuresSize = cvtest::randomSize(rng, 10.0);
caller.features = cvtest::randomMat(rng, featuresSize, CV_8UC1, 0, 255, false);
caller.table_number = 12;
caller.multi_probe_level = 2;
int errors = 0;
caller.key_size = 0;
errors += run_test_case(Error::StsBadArg, "key_size is zero", caller);
caller.key_size = static_cast<int>(sizeof(size_t) * CHAR_BIT);
errors += run_test_case(Error::StsBadArg, "key_size is too big", caller);
caller.key_size += cvtest::randInt(rng) % 100;
errors += run_test_case(Error::StsBadArg, "key_size is too big", caller);
if (errors != 0)
ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
else
ts->set_failed_test_info(cvtest::TS::OK);
}
TEST(Flann_LshTable, badarg) { CV_LshTableBadArgTest test; test.safe_run(); }
TEST(Flann_LshTable, bad_any_cast) {
Mat features = Mat::ones(1, 64, CV_8U);
EXPECT_NO_THROW(flann::GenericIndex<cvflann::Hamming2<unsigned char> >(
features, cvflann::LshIndexParams()));
}
}} // namespace
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