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/*******************************************************
* Copyright (c) 2014, ArrayFire
* All rights reserved.
*
* This file is distributed under 3-clause BSD license.
* The complete license agreement can be obtained at:
* http://arrayfire.com/licenses/BSD-3-Clause
********************************************************/
#include <gtest/gtest.h>
#include <arrayfire.h>
#include <af/dim4.hpp>
#include <af/traits.hpp>
#include <string>
#include <vector>
#include <ctime>
#include <iostream>
#include <algorithm>
#include <testHelpers.hpp>
using std::string;
using std::vector;
using namespace af;
template<typename T>
class Covariance : public ::testing::Test
{
public:
virtual void SetUp() {}
};
// create a list of types to be tested
typedef ::testing::Types<float, double, int, uint, intl, uintl, uchar, short, ushort> TestTypes;
// register the type list
TYPED_TEST_CASE(Covariance, TestTypes);
template<typename T>
struct f32HelperType {
typedef typename cond_type<is_same_type<T, double>::value,
double,
float>::type type;
};
template<typename T>
struct c32HelperType {
typedef typename cond_type<is_same_type<T, cfloat>::value,
cfloat,
typename f32HelperType<T>::type >::type type;
};
template<typename T>
struct elseType {
typedef typename cond_type< is_same_type<T, uintl>::value ||
is_same_type<T, intl> ::value,
double,
T>::type type;
};
template<typename T>
struct covOutType {
typedef typename cond_type< is_same_type<T, float> ::value ||
is_same_type<T, int> ::value ||
is_same_type<T, uint> ::value ||
is_same_type<T, uchar> ::value ||
is_same_type<T, short> ::value ||
is_same_type<T, ushort> ::value ||
is_same_type<T, char> ::value,
float,
typename elseType<T>::type>::type type;
};
template<typename T>
void covTest(string pFileName, bool isbiased=false)
{
typedef typename covOutType<T>::type outType;
if (noDoubleTests<T>()) return;
if (noDoubleTests<outType>()) return;
vector<af::dim4> numDims;
vector<vector<int> > in;
vector<vector<float> > tests;
readTestsFromFile<int,float>(pFileName, numDims, in, tests);
af::dim4 dims1 = numDims[0];
af::dim4 dims2 = numDims[1];
vector<T> input1(in[0].begin(), in[0].end());
vector<T> input2(in[1].begin(), in[1].end());
array a(dims1, &(input1.front()));
array b(dims2, &(input2.front()));
array c = cov(a, b, isbiased);
vector<outType> currGoldBar(tests[0].begin(), tests[0].end());
size_t nElems = currGoldBar.size();
outType *outData = new outType[nElems];
c.host((void*)outData);
for (size_t elIter=0; elIter<nElems; ++elIter) {
ASSERT_NEAR(::real(currGoldBar[elIter]), ::real(outData[elIter]), 1.0e-3)<< "at: " << elIter<< std::endl;
ASSERT_NEAR(::imag(currGoldBar[elIter]), ::imag(outData[elIter]), 1.0e-3)<< "at: " << elIter<< std::endl;
}
// cleanup
delete[] outData;
}
TYPED_TEST(Covariance, Vector)
{
covTest<TypeParam>(string(TEST_DIR "/covariance/vec_size60.test"), false);
}
TYPED_TEST(Covariance, Matrix)
{
covTest<TypeParam>(string(TEST_DIR "/covariance/matrix_65x121.test"), false);
}
TEST(Covariance, c32)
{
array a = constant(cfloat(1.0f, -1.0f), 10, c32);
array b = constant(cfloat(2.0f, -1.0f), 10, c32);
ASSERT_THROW(cov(a, b), af::exception);
}
TEST(Covariance, c64)
{
if (noDoubleTests<double>()) return;
array a = constant(cdouble(1.0, -1.0), 10, c64);
array b = constant(cdouble(2.0, -1.0), 10, c64);
ASSERT_THROW(cov(a, b), af::exception);
}
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