/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // Intel License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000, Intel Corporation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of Intel Corporation may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "test_precomp.hpp" using namespace cv; 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(); }