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Move test code: strings and empty arrays. #999

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5 changes: 4 additions & 1 deletion doc/developer_guide.md
Original file line number Diff line number Diff line change
Expand Up @@ -195,6 +195,9 @@ Write-read cycles for scalar values should be implemented in
Unit-tests related to checking that `DataType` API, go in
`tests/unit/tests_high_data_type.cpp`.

#### Empty Arrays
Check related to empty arrays to in `tests/unit/test_empty_arrays.cpp`.

#### Selections
Anything selection related goes in `tests/unit/test_high_five_selection.cpp`.
This includes things like `ElementSet` and `HyperSlab`.
Expand All @@ -204,7 +207,7 @@ Regular write-read cycles for strings are performed along with the other types,
see above. This should cover compatibility of `std::string` with all
containers. However, additional testing is required, e.g. character set,
padding, fixed vs. variable length. These all go in
`tests/unit/test_high_five_string.cpp`.
`tests/unit/test_string.cpp`.

#### Specific Tests For Optional Containers
If containers, e.g. `Eigen::Matrix` require special checks those go in files
Expand Down
2 changes: 1 addition & 1 deletion tests/unit/CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@ if(MSVC)
endif()

## Base tests
foreach(test_name tests_high_five_base tests_high_five_multi_dims tests_high_five_easy test_all_types test_high_five_selection tests_high_five_data_type test_legacy)
foreach(test_name tests_high_five_base tests_high_five_multi_dims tests_high_five_easy test_all_types test_high_five_selection tests_high_five_data_type test_empty_arrays test_legacy test_string)
add_executable(${test_name} "${test_name}.cpp")
target_link_libraries(${test_name} HighFive HighFiveWarnings HighFiveFlags Catch2::Catch2WithMain)
target_link_libraries(${test_name} HighFiveOptionalDependencies)
Expand Down
248 changes: 248 additions & 0 deletions tests/unit/test_empty_arrays.cpp
Original file line number Diff line number Diff line change
@@ -0,0 +1,248 @@
/*
* Copyright (c), 2017-2024, Blue Brain Project - EPFL
*
* Distributed under the Boost Software License, Version 1.0.
* (See accompanying file LICENSE_1_0.txt or copy at
* http://www.boost.org/LICENSE_1_0.txt)
*
*/
#include <string>
#include <vector>

#include <catch2/catch_test_macros.hpp>
#include <catch2/catch_template_test_macros.hpp>
#include <catch2/matchers/catch_matchers_vector.hpp>

#include <highfive/highfive.hpp>
#include "tests_high_five.hpp"
#include "create_traits.hpp"

#ifdef HIGHFIVE_TEST_BOOST
#include <highfive/boost.hpp>
#endif

#ifdef HIGHFIVE_TEST_EIGEN
#include <highfive/eigen.hpp>
#endif

#ifdef HIGHFIVE_TEST_SPAN
#include <highfive/span.hpp>
#endif

using namespace HighFive;
using Catch::Matchers::Equals;


template <int n_dim>
struct CreateEmptyVector;

template <>
struct CreateEmptyVector<1> {
using container_type = std::vector<int>;

static container_type create(const std::vector<size_t>& dims) {
return container_type(dims[0], 2);
}
};

template <int n_dim>
struct CreateEmptyVector {
using container_type = std::vector<typename CreateEmptyVector<n_dim - 1>::container_type>;

static container_type create(const std::vector<size_t>& dims) {
auto subdims = std::vector<size_t>(dims.begin() + 1, dims.end());
return container_type(dims[0], CreateEmptyVector<n_dim - 1>::create(subdims));
}
};

#ifdef HIGHFIVE_TEST_BOOST
template <int n_dim>
struct CreateEmptyBoostMultiArray {
using container_type = boost::multi_array<int, static_cast<long unsigned>(n_dim)>;

static container_type create(const std::vector<size_t>& dims) {
auto container = container_type(dims);

auto raw_data = std::vector<int>(compute_total_size(dims));
container.assign(raw_data.begin(), raw_data.end());

return container;
}
};
#endif


#ifdef HIGHFIVE_TEST_EIGEN
struct CreateEmptyEigenVector {
using container_type = Eigen::VectorXi;

static container_type create(const std::vector<size_t>& dims) {
return container_type::Constant(int(dims[0]), 2);
}
};

struct CreateEmptyEigenMatrix {
using container_type = Eigen::MatrixXi;

static container_type create(const std::vector<size_t>& dims) {
return container_type::Constant(int(dims[0]), int(dims[1]), 2);
}
};
#endif

template <class Container>
void check_empty_dimensions(const Container& container, const std::vector<size_t>& expected_dims) {
auto deduced_dims = details::inspector<Container>::getDimensions(container);

REQUIRE(expected_dims.size() == deduced_dims.size());

// The dims after hitting the first `0` are finicky. We allow those to be deduced as either `1`
// or what the original dims said. The `1` allows broadcasting, the "same as original" enables
// statically sized objects, which conceptually have dims, even if there's no object.
bool allow_one = false;
for (size_t i = 0; i < expected_dims.size(); ++i) {
REQUIRE(((expected_dims[i] == deduced_dims[i]) || (allow_one && (deduced_dims[i] == 1ul))));

if (expected_dims[i] == 0) {
allow_one = true;
}
}
}

template <class CreateContainer>
void check_empty_dimensions(const std::vector<size_t>& dims) {
auto input_data = CreateContainer::create(dims);
check_empty_dimensions(input_data, dims);
}

template <class ReadWriteInterface, class CreateContainer>
void check_empty_read_write_cycle(const std::vector<size_t>& dims) {
using container_type = typename CreateContainer::container_type;

const std::string file_name("h5_empty_attr.h5");
const std::string dataset_name("dset");
File file(file_name, File::Truncate);

auto input_data = CreateContainer::create(dims);
ReadWriteInterface::create(file, dataset_name, input_data);

SECTION("read; one-dimensional vector (empty)") {
auto output_data = CreateEmptyVector<1>::create({0ul});

ReadWriteInterface::get(file, dataset_name).reshapeMemSpace({0ul}).read(output_data);
check_empty_dimensions(output_data, {0ul});
}

SECTION("read; pre-allocated (empty)") {
auto output_data = CreateContainer::create(dims);
ReadWriteInterface::get(file, dataset_name).reshapeMemSpace(dims).read(output_data);

check_empty_dimensions(output_data, dims);
}

SECTION("read; pre-allocated (oversized)") {
auto oversize_dims = std::vector<size_t>(dims.size(), 2ul);
auto output_data = CreateContainer::create(oversize_dims);
ReadWriteInterface::get(file, dataset_name).reshapeMemSpace(dims).read(output_data);

check_empty_dimensions(output_data, dims);
}

SECTION("read; auto-allocated") {
auto output_data = ReadWriteInterface::get(file, dataset_name)
.reshapeMemSpace(dims)
.template read<container_type>();
check_empty_dimensions(output_data, dims);
}
}

template <class CreateContainer>
void check_empty_dataset(const std::vector<size_t>& dims) {
check_empty_read_write_cycle<testing::DataSetCreateTraits, CreateContainer>(dims);
}

template <class CreateContainer>
void check_empty_attribute(const std::vector<size_t>& dims) {
check_empty_read_write_cycle<testing::AttributeCreateTraits, CreateContainer>(dims);
}

template <class CreateContainer>
void check_empty_everything(const std::vector<size_t>& dims) {
SECTION("Empty dimensions") {
check_empty_dimensions<CreateContainer>(dims);
}

SECTION("Empty datasets") {
check_empty_dataset<CreateContainer>(dims);
}

SECTION("Empty attribute") {
check_empty_attribute<CreateContainer>(dims);
}
}

#ifdef HIGHFIVE_TEST_EIGEN
template <int ndim>
void check_empty_eigen(const std::vector<size_t>&) {}

template <>
void check_empty_eigen<1>(const std::vector<size_t>& dims) {
SECTION("Eigen::Vector") {
check_empty_everything<CreateEmptyEigenVector>({dims[0], 1ul});
}
}

template <>
void check_empty_eigen<2>(const std::vector<size_t>& dims) {
SECTION("Eigen::Matrix") {
check_empty_everything<CreateEmptyEigenMatrix>(dims);
}
}
#endif

template <int ndim>
void check_empty(const std::vector<size_t>& dims) {
REQUIRE(dims.size() == ndim);

SECTION("std::vector") {
check_empty_everything<CreateEmptyVector<ndim>>(dims);
}

#ifdef HIGHFIVE_TEST_BOOST
SECTION("boost::multi_array") {
check_empty_everything<CreateEmptyBoostMultiArray<ndim>>(dims);
}
#endif

#ifdef HIGHFIVE_TEST_EIGEN
check_empty_eigen<ndim>(dims);
#endif
}

TEST_CASE("Empty arrays") {
SECTION("one-dimensional") {
check_empty<1>({0ul});
}

SECTION("two-dimensional") {
std::vector<std::vector<size_t>> testcases{{0ul, 1ul}, {1ul, 0ul}};

for (const auto& dims: testcases) {
SECTION(details::format_vector(dims)) {
check_empty<2>(dims);
}
}
}

SECTION("three-dimensional") {
std::vector<std::vector<size_t>> testcases{{0ul, 1ul, 1ul},
{1ul, 1ul, 0ul},
{1ul, 0ul, 1ul}};

for (const auto& dims: testcases) {
SECTION(details::format_vector(dims)) {
check_empty<3>(dims);
}
}
}
}
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