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core: Add an additional test case for MatrixArray transpose

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This commit is contained in:
Biljana Bojovic
2023-03-24 18:14:22 +01:00
committed by Biljana B
parent 8f2a1825b3
commit e6b2ff7e7e
1 changed files with 26 additions and 5 deletions
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31
src/core/test/matrix-array-test-suite.cc
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@@ -191,6 +191,27 @@ MatrixArrayTestCase<T>::DoRun()
NS_TEST_ASSERT_MSG_EQ(m6, m8, "These two matrices should be equal");
NS_LOG_INFO("m8 = m5.Transpose ()" << m8);
// test transpose using initialization arrays
std::valarray<int> a{0, 0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4};
std::valarray<int> b{0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4};
std::valarray<T> aCasted(a.size());
std::valarray<T> bCasted(b.size());
for (size_t i = 0; i < a.size(); ++i)
{
aCasted[i] = static_cast<T>(a[i]);
}
for (size_t i = 0; i < b.size(); ++i)
{
bCasted[i] = static_cast<T>(b[i]);
}
m5 = MatrixArray<T>(3, 5, 1, aCasted);
m6 = MatrixArray<T>(5, 3, 1, bCasted);
m8 = m5.Transpose();
NS_TEST_ASSERT_MSG_EQ(m6, m8, "These two matrices should be equal");
NS_LOG_INFO("m5 (3, 5, 1):" << m5);
NS_LOG_INFO("m6 (5, 3, 1):" << m6);
NS_LOG_INFO("m8 (5, 3, 1) = m5.Transpose ()" << m8);
// test 1D array creation, i.e. vector and transposing it
MatrixArray<T> m9 = MatrixArray<T>(std::vector<T>({0, 1, 2, 3, 4, 5, 6, 7}));
NS_TEST_ASSERT_MSG_EQ((m9.GetNumRows() == 8) && (m9.GetNumCols() == 1) &&
@@ -219,12 +240,12 @@ MatrixArrayTestCase<T>::DoRun()
// test multiplication by using an initialization matrixArray
// matrix dimensions in each page are 2x3, 3x2, and the resulting matrix per page is a square
// matrix 2x2
std::valarray<int> a{0, 1, 2, 3, 4, 5, 0, 1, 2, 3, 4, 5};
std::valarray<int> b{0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1};
a = {0, 1, 2, 3, 4, 5, 0, 1, 2, 3, 4, 5};
b = {0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1};
std::valarray<int> c{2, 3, 4, 6, 2, 3, 4, 6};
std::valarray<T> aCasted(a.size());
std::valarray<T> bCasted(b.size());
std::valarray<T> cCasted(c.size());
aCasted = std::valarray<T>(a.size());
bCasted = std::valarray<T>(b.size());
std::valarray<T> cCasted = std::valarray<T>(c.size());
for (size_t i = 0; i < a.size(); ++i)
{