f4334277
 Hu Chunming
提交3rdparty
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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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