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InitPerFeature_unittest.cc
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InitPerFeature_unittest.cc
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/*
* Copyright (c) The Shogun Machine Learning Toolbox
* Written (w) 2016 Soumyajit De
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
* 2. Redistributions 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.
*
* 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 COPYRIGHT OWNER 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.
*
* The views and conclusions contained in the software and documentation are those
* of the authors and should not be interpreted as representing official policies,
* either expressed or implied, of the Shogun Development Team.
*/
#include <gtest/gtest.h>
#include <algorithm>
#include <type_traits>
#include <shogun/lib/common.h>
#include <shogun/lib/SGMatrix.h>
#include <shogun/features/Features.h>
#include <shogun/features/DenseFeatures.h>
#include <shogun/statistical_testing/internals/DataManager.h>
using namespace shogun;
using namespace internal;
TEST(InitPerFeature, assignment_and_cast_operators)
{
const index_t dim=1;
const index_t num_vec=1;
const index_t num_distributions=1;
SGMatrix<float64_t> data_p(dim, num_vec);
data_p(0, 0)=0;
auto feats_p=std::make_shared<DenseFeatures<float64_t>>(data_p);
DataManager data_mgr(num_distributions);
data_mgr.samples_at(0)=feats_p;
const DataManager& const_data_mgr=data_mgr;
auto stored_feats=data_mgr.samples_at(0);
bool typecheck=std::is_same<InitPerFeature, decltype(stored_feats)>::value;
ASSERT_TRUE(typecheck);
// ASSERT_TRUE(feats_p==stored_feats);
auto stored_feats2=const_data_mgr.samples_at(0);
typecheck=std::is_same<std::shared_ptr<Features>, decltype(stored_feats2)>::value;
ASSERT_TRUE(typecheck);
ASSERT_TRUE(feats_p==stored_feats2);
std::shared_ptr<Features> samples=stored_feats;
ASSERT_TRUE(feats_p==samples);
}