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Clang-format tests, examples, libraries, benchmarks, etc.

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This commit is contained in:
Antonio Sánchez
2023-12-05 21:22:55 +00:00
committed by Rasmus Munk Larsen
parent 3252ecc7a4
commit 46e9cdb7fe
876 changed files with 33453 additions and 37795 deletions
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44
test/serializer.cpp
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@@ -15,9 +15,7 @@
template <typename T>
struct RandomImpl {
static auto Create(Eigen::Index rows, Eigen::Index cols) {
return T::Random(rows, cols);
}
static auto Create(Eigen::Index rows, Eigen::Index cols) { return T::Random(rows, cols); }
};
template <typename Scalar, int Options, typename DenseIndex>
@@ -85,13 +83,13 @@ struct MyPodType {
void test_pod_type() {
MyPodType initial = {1.3, 17, 1.9f};
MyPodType clone = {-1, -1, -1};
Eigen::Serializer<MyPodType> serializer;
// Determine required size.
size_t buffer_size = serializer.size(initial);
VERIFY_IS_EQUAL(buffer_size, sizeof(MyPodType));
// Serialize.
std::vector<uint8_t> buffer(buffer_size);
uint8_t* begin = buffer.data();
@@ -99,7 +97,7 @@ void test_pod_type() {
uint8_t* dest = serializer.serialize(begin, end, initial);
VERIFY(dest != nullptr);
VERIFY_IS_EQUAL(dest - begin, buffer_size);
// Deserialize.
const uint8_t* src = serializer.deserialize(begin, end, clone);
VERIFY(src != nullptr);
@@ -126,7 +124,7 @@ void test_pod_type() {
}
// Matrix, Vector, Array
template<typename T>
template <typename T>
void test_eigen_type(const T& type) {
const Index rows = type.rows();
const Index cols = type.cols();
@@ -142,7 +140,7 @@ void test_eigen_type(const T& type) {
uint8_t* dest = serializer.serialize(begin, end, initial);
VERIFY(dest != nullptr);
VERIFY_IS_EQUAL(dest - begin, buffer_size);
// Deserialize.
T clone;
const uint8_t* src = serializer.deserialize(begin, end, clone);
@@ -168,14 +166,13 @@ void test_eigen_type(const T& type) {
}
// Test a collection of dense types.
template<typename T1, typename T2, typename T3>
template <typename T1, typename T2, typename T3>
void test_dense_types(const T1& type1, const T2& type2, const T3& type3) {
// Make random inputs.
const T1 x1 = T1::Random(type1.rows(), type1.cols());
const T2 x2 = T2::Random(type2.rows(), type2.cols());
const T3 x3 = T3::Random(type3.rows(), type3.cols());
// Allocate buffer and serialize.
size_t buffer_size = Eigen::serialize_size(x1, x2, x3);
std::vector<uint8_t> buffer(buffer_size);
@@ -183,7 +180,7 @@ void test_dense_types(const T1& type1, const T2& type2, const T3& type3) {
uint8_t* end = buffer.data() + buffer.size();
uint8_t* dest = Eigen::serialize(begin, end, x1, x2, x3);
VERIFY(dest != nullptr);
// Clone everything.
T1 y1;
T2 y2;
@@ -213,21 +210,18 @@ void test_dense_types(const T1& type1, const T2& type2, const T3& type3) {
VERIFY(src == nullptr);
}
EIGEN_DECLARE_TEST(serializer)
{
CALL_SUBTEST( test_pod_type() );
EIGEN_DECLARE_TEST(serializer) {
CALL_SUBTEST(test_pod_type());
for(int i = 0; i < g_repeat; i++) {
CALL_SUBTEST( test_eigen_type(Eigen::Array33f()) );
CALL_SUBTEST( test_eigen_type(Eigen::ArrayXd(10)) );
CALL_SUBTEST( test_eigen_type(Eigen::Vector3f()) );
CALL_SUBTEST( test_eigen_type(Eigen::Matrix4d()) );
CALL_SUBTEST( test_eigen_type(Eigen::MatrixXd(15, 17)) );
for (int i = 0; i < g_repeat; i++) {
CALL_SUBTEST(test_eigen_type(Eigen::Array33f()));
CALL_SUBTEST(test_eigen_type(Eigen::ArrayXd(10)));
CALL_SUBTEST(test_eigen_type(Eigen::Vector3f()));
CALL_SUBTEST(test_eigen_type(Eigen::Matrix4d()));
CALL_SUBTEST(test_eigen_type(Eigen::MatrixXd(15, 17)));
CALL_SUBTEST(test_eigen_type(Eigen::SparseMatrix<float>(13, 12)));
CALL_SUBTEST(test_eigen_type(Eigen::SparseVector<float>(17)));
CALL_SUBTEST( test_dense_types( Eigen::Array33f(),
Eigen::ArrayXd(10),
Eigen::MatrixXd(15, 17)) );
CALL_SUBTEST(test_dense_types(Eigen::Array33f(), Eigen::ArrayXd(10), Eigen::MatrixXd(15, 17)));
}
}