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- /*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"
- 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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