Add tests in tests/base/hdf5_05.cc

diff --git a/tests/base/hdf5_05.cc b/tests/base/hdf5_05.cc
index f773cedec3893a4979645a12a687967a751f9f0a..70b39c9a74c8fa0f5f2ee3351b629599b4a9ee10 100644 (file)
--- a/tests/base/hdf5_05.cc
+++ b/tests/base/hdf5_05.cc
@@ -207,7 +207,7 @@ write_test(HDF5::Group &      root_group,
   {
     std::string dataset_name("dataset_1");
 
-    // Write matrix of 5x3
+    // This dataset is a 5x3 matrix
     // Output generated by h5dump
     //  (0,0): 0, 1, 2,
     //  (1,0): 3, 4, 5,
@@ -248,6 +248,431 @@ write_test(HDF5::Group &      root_group,
           << " (Write): " << dataset.get_global_no_collective_cause()
           << std::endl;
   }
+
+  {
+    std::string dataset_name("dataset_2");
+
+    // This dataset is a 2x5x3 tensor
+    // Output generated by h5dump
+    //  (0,0,0): 0, 1, 2,         (1,0,0): 15, 16, 17,
+    //  (0,1,0): 3, 4, 5,         (1,1,0): 18, 19, 20,
+    //  (0,2,0): 6, 7, 8,         (1,2,0): 21, 22, 23,
+    //  (0,3,0): 9, 10, 11,       (1,3,0): 24, 25, 26,
+    //  (0,4,0): 12, 13, 14,      (1,4,0): 27, 28, 29
+
+    const std::vector<hsize_t> dataset_dimensions = {2, 5, 3};
+    auto                       dataset =
+      group.create_dataset<Number>(dataset_name, dataset_dimensions);
+    dataset.set_query_io_mode(true);
+    deallog << "Dimensions " << dataset_name << "<" << type_name << ">"
+            << " (Write): " << dataset.get_dimensions() << std::endl;
+    deallog << "Size " << dataset_name << "<" << type_name << ">"
+            << " (Write): " << dataset.get_size() << std::endl;
+    deallog << "Rank " << dataset_name << "<" << type_name << ">"
+            << " (Write): " << dataset.get_rank() << std::endl;
+    auto data = initialize_container<std::vector, Number>(dataset_dimensions);
+    assign_data(data);
+    if (Utilities::MPI::this_mpi_process(mpi_communicator) == 0)
+      {
+        dataset.write(data);
+      }
+    else
+      {
+        dataset.template write_none<Number>();
+      }
+    deallog << "Data " + dataset_name << "<" << type_name << ">"
+            << " (Write): " << container_to_string(data) << std::endl;
+    pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+          << " (Write): " << dataset.get_io_mode() << std::endl;
+    pcout << "Local no collective cause " + dataset_name << "<" << type_name
+          << ">"
+          << " (Write): " << dataset.get_local_no_collective_cause()
+          << std::endl;
+    pcout << "Global no collective cause " + dataset_name << "<" << type_name
+          << ">"
+          << " (Write): " << dataset.get_global_no_collective_cause()
+          << std::endl;
+  }
+
+  {
+    std::string dataset_name("dataset_3");
+
+    // This dataset is a 2x5x3 tensor
+    // Output generated by h5dump
+    //  (0,0,0): 0, 1, 2,         (1,0,0): 0, 2, 4,
+    //  (0,1,0): 3, 4, 5,         (1,1,0): 6, 8, 10,
+    //  (0,2,0): 6, 7, 8,         (1,2,0): 12, 14, 16,
+    //  (0,3,0): 9, 10, 11,       (1,3,0): 18, 20, 22,
+    //  (0,4,0): 12, 13, 14,      (1,4,0): 24, 26, 28
+
+    const std::vector<hsize_t> dataset_dimensions = {2, 5, 3};
+    auto                       dataset =
+      group.create_dataset<Number>(dataset_name, dataset_dimensions);
+    dataset.set_query_io_mode(true);
+    deallog << "Dimensions " << dataset_name << "<" << type_name << ">"
+            << " (Write): " << dataset.get_dimensions() << std::endl;
+    deallog << "Size " << dataset_name << "<" << type_name << ">"
+            << " (Write): " << dataset.get_size() << std::endl;
+    deallog << "Rank " << dataset_name << "<" << type_name << ">"
+            << " (Write): " << dataset.get_rank() << std::endl;
+
+    if (Utilities::MPI::this_mpi_process(mpi_communicator) == 0)
+      {
+        const std::vector<hsize_t> data_dimensions = {5, 3};
+        auto data = initialize_container<std::vector, Number>(data_dimensions);
+        assign_data(data);
+        const std::vector<hsize_t> hyperslab_offset = {0, 0, 0};
+        const std::vector<hsize_t> hyperslab_count  = {1, 5, 3};
+        dataset.write_hyperslab(data, hyperslab_offset, hyperslab_count);
+
+        pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+              << " (Write): " << dataset.get_io_mode() << std::endl;
+        pcout << "Local no collective cause " + dataset_name << "<" << type_name
+              << ">"
+              << " (Write): " << dataset.get_local_no_collective_cause()
+              << std::endl;
+        pcout << "Global no collective cause " + dataset_name << "<"
+              << type_name << ">"
+              << " (Write): " << dataset.get_global_no_collective_cause()
+              << std::endl;
+      }
+    else if (Utilities::MPI::this_mpi_process(mpi_communicator) == 1)
+      {
+        const std::vector<hsize_t> data_dimensions = {5, 3};
+        auto data = initialize_container<FullMatrix, Number>(data_dimensions);
+        assign_data(data);
+        // Modify the data in order to have different data than in mpi_comm = 0
+        data *= 2;
+        const std::vector<hsize_t> hyperslab_offset = {1, 0, 0};
+        const std::vector<hsize_t> hyperslab_count  = {1, 5, 3};
+        dataset.write_hyperslab(data, hyperslab_offset, hyperslab_count);
+
+        pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+              << " (Write): " << dataset.get_io_mode() << std::endl;
+        pcout << "Local no collective cause " + dataset_name << "<" << type_name
+              << ">"
+              << " (Write): " << dataset.get_local_no_collective_cause()
+              << std::endl;
+        pcout << "Global no collective cause " + dataset_name << "<"
+              << type_name << ">"
+              << " (Write): " << dataset.get_global_no_collective_cause()
+              << std::endl;
+      }
+    else
+      {
+        dataset.template write_none<Number>();
+        pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+              << " (Write): " << dataset.get_io_mode() << std::endl;
+        pcout << "Local no collective cause " + dataset_name << "<" << type_name
+              << ">"
+              << " (Write): " << dataset.get_local_no_collective_cause()
+              << std::endl;
+        pcout << "Global no collective cause " + dataset_name << "<"
+              << type_name << ">"
+              << " (Write): " << dataset.get_global_no_collective_cause()
+              << std::endl;
+      }
+  }
+
+  {
+    std::string dataset_name("dataset_4");
+
+    // This dataset is a 3x2x4 tensor
+    // Output generated by h5dump
+    //  (0,0,0): 0, 1, 2, 3,
+    //  (0,1,0): 0, 2, 4, 6,
+    //  (1,0,0): 4, 5, 6, 7,
+    //  (1,1,0): 8, 10, 12, 14,
+    //  (2,0,0): 8, 9, 10, 11,
+    //  (2,1,0): 16, 18, 20, 22
+
+    const std::vector<hsize_t> dataset_dimensions = {3, 2, 4};
+    auto                       dataset =
+      group.create_dataset<Number>(dataset_name, dataset_dimensions);
+    dataset.set_query_io_mode(true);
+    deallog << "Dimensions " << dataset_name << "<" << type_name << ">"
+            << " (Write): " << dataset.get_dimensions() << std::endl;
+    deallog << "Size " << dataset_name << "<" << type_name << ">"
+            << " (Write): " << dataset.get_size() << std::endl;
+    deallog << "Rank " << dataset_name << "<" << type_name << ">"
+            << " (Write): " << dataset.get_rank() << std::endl;
+
+    if (Utilities::MPI::this_mpi_process(mpi_communicator) == 0)
+      {
+        const std::vector<hsize_t> data_dimensions = {3, 4};
+        auto data = initialize_container<std::vector, Number>(data_dimensions);
+        assign_data(data);
+        const std::vector<hsize_t> hyperslab_offset = {0, 0, 0};
+        const std::vector<hsize_t> hyperslab_count  = {3, 1, 4};
+        dataset.write_hyperslab(data, hyperslab_offset, hyperslab_count);
+
+        pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+              << " (Write): " << dataset.get_io_mode() << std::endl;
+        pcout << "Local no collective cause " + dataset_name << "<" << type_name
+              << ">"
+              << " (Write): " << dataset.get_local_no_collective_cause()
+              << std::endl;
+        pcout << "Global no collective cause " + dataset_name << "<"
+              << type_name << ">"
+              << " (Write): " << dataset.get_global_no_collective_cause()
+              << std::endl;
+      }
+    else if (Utilities::MPI::this_mpi_process(mpi_communicator) == 1)
+      {
+        const std::vector<hsize_t> data_dimensions = {3, 4};
+        auto data = initialize_container<FullMatrix, Number>(data_dimensions);
+        assign_data(data);
+        // Modify the data in order to have different data than in mpi_comm = 0
+        data *= 2;
+        const std::vector<hsize_t> hyperslab_offset = {0, 1, 0};
+        const std::vector<hsize_t> hyperslab_count  = {3, 1, 4};
+        dataset.write_hyperslab(data, hyperslab_offset, hyperslab_count);
+
+        pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+              << " (Write): " << dataset.get_io_mode() << std::endl;
+        pcout << "Local no collective cause " + dataset_name << "<" << type_name
+              << ">"
+              << " (Write): " << dataset.get_local_no_collective_cause()
+              << std::endl;
+        pcout << "Global no collective cause " + dataset_name << "<"
+              << type_name << ">"
+              << " (Write): " << dataset.get_global_no_collective_cause()
+              << std::endl;
+      }
+    else
+      {
+        dataset.template write_none<Number>();
+        pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+              << " (Write): " << dataset.get_io_mode() << std::endl;
+        pcout << "Local no collective cause " + dataset_name << "<" << type_name
+              << ">"
+              << " (Write): " << dataset.get_local_no_collective_cause()
+              << std::endl;
+        pcout << "Global no collective cause " + dataset_name << "<"
+              << type_name << ">"
+              << " (Write): " << dataset.get_global_no_collective_cause()
+              << std::endl;
+      }
+  }
+
+  {
+    std::string dataset_name("dataset_5");
+
+    // This dataset is a 3x2x4 tensor
+    // Output generated by h5dump
+    //  (0,0,0): 2, 0, 0, 38,
+    //  (0,1,0): 6, 5, 0, 3,
+    //  (1,0,0): 12, 0, 0, 0,
+    //  (1,1,0): 16, 15, 0, 13,
+    //  (2,0,0): 32, 0, 0, 0,
+    //  (2,1,0): 36, 35, 0, 33
+
+
+    const std::vector<hsize_t> dataset_dimensions = {3, 2, 4};
+    auto                       dataset =
+      group.create_dataset<Number>(dataset_name, dataset_dimensions);
+    dataset.set_query_io_mode(true);
+    deallog << "Dimensions " << dataset_name << "<" << type_name << ">"
+            << " (Write): " << dataset.get_dimensions() << std::endl;
+    deallog << "Size " << dataset_name << "<" << type_name << ">"
+            << " (Write): " << dataset.get_size() << std::endl;
+    deallog << "Rank " << dataset_name << "<" << type_name << ">"
+            << " (Write): " << dataset.get_rank() << std::endl;
+
+    if (Utilities::MPI::this_mpi_process(mpi_communicator) == 0)
+      {
+        std::vector<hsize_t> coordinates = {0,
+                                            0,
+                                            0, // first point
+                                            0,
+                                            1,
+                                            3, // second point
+                                            0,
+                                            1,
+                                            1, // third point
+                                            0,
+                                            1,
+                                            0}; // fourth point
+        std::vector<Number>  data        = {2, 3, 5, 6};
+
+        dataset.write_selection(data, coordinates);
+
+        pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+              << " (Write): " << dataset.get_io_mode() << std::endl;
+        pcout << "Local no collective cause " + dataset_name << "<" << type_name
+              << ">"
+              << " (Write): " << dataset.get_local_no_collective_cause()
+              << std::endl;
+        pcout << "Global no collective cause " + dataset_name << "<"
+              << type_name << ">"
+              << " (Write): " << dataset.get_global_no_collective_cause()
+              << std::endl;
+      }
+    else if (Utilities::MPI::this_mpi_process(mpi_communicator) == 1)
+      {
+        std::vector<hsize_t> coordinates = {1,
+                                            0,
+                                            0, // first point
+                                            1,
+                                            1,
+                                            3, // second point
+                                            1,
+                                            1,
+                                            1, // third point
+                                            1,
+                                            1,
+                                            0}; // fourth point
+        std::vector<Number>  data        = {12, 13, 15, 16};
+
+        dataset.write_selection(data, coordinates);
+
+        pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+              << " (Write): " << dataset.get_io_mode() << std::endl;
+        pcout << "Local no collective cause " + dataset_name << "<" << type_name
+              << ">"
+              << " (Write): " << dataset.get_local_no_collective_cause()
+              << std::endl;
+        pcout << "Global no collective cause " + dataset_name << "<"
+              << type_name << ">"
+              << " (Write): " << dataset.get_global_no_collective_cause()
+              << std::endl;
+      }
+    else if (Utilities::MPI::this_mpi_process(mpi_communicator) == 2)
+      {
+        std::vector<hsize_t> coordinates = {2,
+                                            0,
+                                            0, // first point
+                                            2,
+                                            1,
+                                            3, // second point
+                                            2,
+                                            1,
+                                            1, // third point
+                                            2,
+                                            1,
+                                            0, // fourth point
+                                            0,
+                                            0,
+                                            3}; // fith point
+        std::vector<Number>  data        = {32, 33, 35, 36, 38};
+
+        dataset.write_selection(data, coordinates);
+
+        pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+              << " (Write): " << dataset.get_io_mode() << std::endl;
+        pcout << "Local no collective cause " + dataset_name << "<" << type_name
+              << ">"
+              << " (Write): " << dataset.get_local_no_collective_cause()
+              << std::endl;
+        pcout << "Global no collective cause " + dataset_name << "<"
+              << type_name << ">"
+              << " (Write): " << dataset.get_global_no_collective_cause()
+              << std::endl;
+      }
+    else
+      {
+        dataset.template write_none<Number>();
+        pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+              << " (Write): " << dataset.get_io_mode() << std::endl;
+        pcout << "Local no collective cause " + dataset_name << "<" << type_name
+              << ">"
+              << " (Write): " << dataset.get_local_no_collective_cause()
+              << std::endl;
+        pcout << "Global no collective cause " + dataset_name << "<"
+              << type_name << ">"
+              << " (Write): " << dataset.get_global_no_collective_cause()
+              << std::endl;
+      }
+  }
+
+  {
+    std::string dataset_name("dataset_6");
+
+    // This dataset is a 7x12 matrix
+    // Output generated by h5dump
+    //  (0,0): -0, 0, 1, -1, 2, 3, -2, 4, 5, -3, 6, 7,
+    //  (1,0): -4, 8, 9, -5, 10, 11, -6, 12, 13, -7, 14, 15,
+    //  (2,0): -8, 16, 17, -9, 18, 19, -10, 20, 21, -11, 22, 23,
+    //  (3,0): -12, 0, 0, -13, 0, 0, -14, 0, 0, -15, 0, 0,
+    //  (4,0): -16, 24, 25, -17, 26, 27, -18, 28, 29, -19, 30, 31,
+    //  (5,0): -20, 32, 33, -21, 34, 35, -22, 36, 37, -23, 38, 39,
+    //  (6,0): -24, 40, 41, -25, 42, 43, -26, 44, 45, -27, 46, 47
+
+    const std::vector<hsize_t> dataset_dimensions = {7, 12};
+    auto                       dataset =
+      group.create_dataset<Number>(dataset_name, dataset_dimensions);
+    dataset.set_query_io_mode(true);
+    deallog << "Dimensions " << dataset_name << "<" << type_name << ">"
+            << " (Write): " << dataset.get_dimensions() << std::endl;
+    deallog << "Size " << dataset_name << "<" << type_name << ">"
+            << " (Write): " << dataset.get_size() << std::endl;
+    deallog << "Rank " << dataset_name << "<" << type_name << ">"
+            << " (Write): " << dataset.get_rank() << std::endl;
+
+    if (Utilities::MPI::this_mpi_process(mpi_communicator) == 0)
+      {
+        const std::vector<hsize_t> data_dimensions = {6, 8};
+        auto data = initialize_container<FullMatrix, Number>(data_dimensions);
+        assign_data(data);
+        const std::vector<hsize_t> offset = {0, 1};
+        const std::vector<hsize_t> stride = {4, 3};
+        const std::vector<hsize_t> count  = {2, 4};
+        const std::vector<hsize_t> block  = {3, 2};
+
+        dataset.write_hyperslab(
+          data, data_dimensions, offset, stride, count, block);
+
+        pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+              << " (Write): " << dataset.get_io_mode() << std::endl;
+        pcout << "Local no collective cause " + dataset_name << "<" << type_name
+              << ">"
+              << " (Write): " << dataset.get_local_no_collective_cause()
+              << std::endl;
+        pcout << "Global no collective cause " + dataset_name << "<"
+              << type_name << ">"
+              << " (Write): " << dataset.get_global_no_collective_cause()
+              << std::endl;
+      }
+    else if (Utilities::MPI::this_mpi_process(mpi_communicator) == 1)
+      {
+        const std::vector<hsize_t> data_dimensions = {7, 4};
+        auto data = initialize_container<FullMatrix, Number>(data_dimensions);
+        assign_data(data);
+        data *= -1;
+        const std::vector<hsize_t> offset = {0, 0};
+        const std::vector<hsize_t> stride = {7, 3};
+        const std::vector<hsize_t> count  = {1, 4};
+        const std::vector<hsize_t> block  = {7, 1};
+
+        dataset.write_hyperslab(
+          data, data_dimensions, offset, stride, count, block);
+
+        pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+              << " (Write): " << dataset.get_io_mode() << std::endl;
+        pcout << "Local no collective cause " + dataset_name << "<" << type_name
+              << ">"
+              << " (Write): " << dataset.get_local_no_collective_cause()
+              << std::endl;
+        pcout << "Global no collective cause " + dataset_name << "<"
+              << type_name << ">"
+              << " (Write): " << dataset.get_global_no_collective_cause()
+              << std::endl;
+      }
+    else
+      {
+        dataset.template write_none<Number>();
+        pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+              << " (Write): " << dataset.get_io_mode() << std::endl;
+        pcout << "Local no collective cause " + dataset_name << "<" << type_name
+              << ">"
+              << " (Write): " << dataset.get_local_no_collective_cause()
+              << std::endl;
+        pcout << "Global no collective cause " + dataset_name << "<"
+              << type_name << ">"
+              << " (Write): " << dataset.get_global_no_collective_cause()
+              << std::endl;
+      }
+  }
 }
 
 
@@ -267,7 +692,16 @@ read_test(HDF5::Group        root_group,
 
   {
     std::string dataset_name("dataset_1");
-    auto        dataset = group.dataset(dataset_name);
+
+    // This dataset is a 5x3 matrix
+    // Output generated by h5dump
+    //  (0,0): 0, 1, 2,
+    //  (1,0): 3, 4, 5,
+    //  (2,0): 6, 7, 8,
+    //  (3,0): 9, 10, 11,
+    //  (4,0): 12, 13, 14
+
+    auto dataset = group.dataset(dataset_name);
     dataset.set_query_io_mode(true);
     deallog << "Dimensions " + dataset_name << "<" << type_name << ">"
             << " (Read): " << dataset.get_dimensions() << std::endl;
@@ -362,6 +796,358 @@ read_test(HDF5::Group        root_group,
               << " (Read): " << container_to_string(data) << std::endl;
     }
   }
+
+  {
+    std::string dataset_name("dataset_2");
+
+    // This dataset is a 2x5x3 tensor
+    // Output generated by h5dump
+    //  (0,0,0): 0, 1, 2,         (1,0,0): 15, 16, 17,
+    //  (0,1,0): 3, 4, 5,         (1,1,0): 18, 19, 20,
+    //  (0,2,0): 6, 7, 8,         (1,2,0): 21, 22, 23,
+    //  (0,3,0): 9, 10, 11,       (1,3,0): 24, 25, 26,
+    //  (0,4,0): 12, 13, 14,      (1,4,0): 27, 28, 29
+
+    auto dataset = group.dataset(dataset_name);
+    dataset.set_query_io_mode(true);
+    deallog << "Dimensions " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_dimensions() << std::endl;
+    deallog << "Size " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_size() << std::endl;
+    deallog << "Rank " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_rank() << std::endl;
+    {
+      auto data = dataset.read<std::vector<Number>>();
+
+      pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_io_mode() << std::endl;
+      pcout << "Local no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_local_no_collective_cause()
+            << std::endl;
+      pcout << "Global no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_global_no_collective_cause()
+            << std::endl;
+
+      deallog << "Data " + dataset_name << "<" << type_name << ">"
+              << " (Read): " << container_to_string(data) << std::endl;
+    }
+
+    {
+      // The output should be the column vector [16, 19, 22, 25]
+      const std::vector<hsize_t> hyperslab_offset = {1, 0, 1};
+      const std::vector<hsize_t> hyperslab_count  = {1, 4, 1};
+      auto data = dataset.read_hyperslab<std::vector<Number>>(hyperslab_offset,
+                                                              hyperslab_count);
+
+      pcout << "Column vector" << std::endl;
+      pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_io_mode() << std::endl;
+      pcout << "Local no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_local_no_collective_cause()
+            << std::endl;
+      pcout << "Global no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_global_no_collective_cause()
+            << std::endl;
+
+      deallog << "Column vector " + dataset_name << "<" << type_name << ">"
+              << " (Read): " << container_to_string(data) << std::endl;
+    }
+
+    {
+      // The output should be the row vector [1, 16]
+      const std::vector<hsize_t> hyperslab_offset = {0, 0, 1};
+      const std::vector<hsize_t> hyperslab_count  = {2, 1, 1};
+      auto data = dataset.read_hyperslab<std::vector<Number>>(hyperslab_offset,
+                                                              hyperslab_count);
+
+      pcout << "Row vector" << std::endl;
+      pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_io_mode() << std::endl;
+      pcout << "Local no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_local_no_collective_cause()
+            << std::endl;
+      pcout << "Global no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_global_no_collective_cause()
+            << std::endl;
+
+      deallog << "Row vector " + dataset_name << "<" << type_name << ">"
+              << " (Read): " << container_to_string(data) << std::endl;
+    }
+
+    {
+      // The output should be the matrix [[18, 19], [21, 22], [24, 25]]
+      const std::vector<hsize_t> hyperslab_offset = {1, 1, 0};
+      const std::vector<hsize_t> hyperslab_count  = {1, 3, 2};
+      auto data = dataset.read_hyperslab<FullMatrix<Number>>(hyperslab_offset,
+                                                             hyperslab_count);
+
+      pcout << "Sub-matrix" << std::endl;
+      pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_io_mode() << std::endl;
+      pcout << "Local no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_local_no_collective_cause()
+            << std::endl;
+      pcout << "Global no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_global_no_collective_cause()
+            << std::endl;
+
+      deallog << "Sub-matrix " + dataset_name << "<" << type_name << ">"
+              << " (Read): " << container_to_string(data) << std::endl;
+    }
+
+    {
+      // The output should be the matrix [[3, 4, 5], [18, 19, 20]]
+      const std::vector<hsize_t> hyperslab_offset = {0, 1, 0};
+      const std::vector<hsize_t> hyperslab_count  = {2, 1, 3};
+      auto data = dataset.read_hyperslab<FullMatrix<Number>>(hyperslab_offset,
+                                                             hyperslab_count);
+
+      pcout << "Sub-matrix" << std::endl;
+      pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_io_mode() << std::endl;
+      pcout << "Local no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_local_no_collective_cause()
+            << std::endl;
+      pcout << "Global no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_global_no_collective_cause()
+            << std::endl;
+
+      deallog << "Sub-matrix " + dataset_name << "<" << type_name << ">"
+              << " (Read): " << container_to_string(data) << std::endl;
+    }
+
+    {
+      // The output should be the matrix [[0, 2], [6, 8], [12, 14]]
+
+      const std::vector<hsize_t> data_dimensions = {1, 3, 2};
+      const std::vector<hsize_t> offset          = {0, 0, 0};
+      const std::vector<hsize_t> stride          = {1, 2, 2};
+      const std::vector<hsize_t> count           = {1, 3, 2};
+      const std::vector<hsize_t> block           = {1, 1, 1};
+
+      auto data = dataset.read_hyperslab<FullMatrix<Number>>(
+        data_dimensions, offset, stride, count, block);
+
+      pcout << "Sub-matrix" << std::endl;
+      pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_io_mode() << std::endl;
+      pcout << "Local no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_local_no_collective_cause()
+            << std::endl;
+      pcout << "Global no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_global_no_collective_cause()
+            << std::endl;
+
+      deallog << "Sub-matrix " + dataset_name << "<" << type_name << ">"
+              << " (Read): " << container_to_string(data) << std::endl;
+    }
+
+    {
+      // The output should be the matrix [0, 20, 22, 13, 11]
+      std::vector<hsize_t> coordinates = {0,
+                                          0,
+                                          0, // first point
+                                          1,
+                                          1,
+                                          2, // second point
+                                          1,
+                                          2,
+                                          1, // third point
+                                          0,
+                                          4,
+                                          1, // fourth point
+                                          0,
+                                          3,
+                                          2}; // fith point
+
+      auto data = dataset.read_selection<Number>(coordinates);
+
+      pcout << "Sub-matrix" << std::endl;
+      pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_io_mode() << std::endl;
+      pcout << "Local no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_local_no_collective_cause()
+            << std::endl;
+      pcout << "Global no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_global_no_collective_cause()
+            << std::endl;
+
+      deallog << "Selection " + dataset_name << "<" << type_name << ">"
+              << " (Read): " << container_to_string(data) << std::endl;
+    }
+  }
+
+  {
+    std::string dataset_name("dataset_3");
+
+    // This dataset is a 2x5x3 tensor
+    // Output generated by h5dump
+    //  (0,0,0): 0, 1, 2,         (1,0,0): 0, 2, 4,
+    //  (0,1,0): 3, 4, 5,         (1,1,0): 6, 8, 10,
+    //  (0,2,0): 6, 7, 8,         (1,2,0): 12, 14, 16,
+    //  (0,3,0): 9, 10, 11,       (1,3,0): 18, 20, 22,
+    //  (0,4,0): 12, 13, 14,      (1,4,0): 24, 26, 28
+
+    auto dataset = group.dataset(dataset_name);
+    dataset.set_query_io_mode(true);
+    deallog << "Dimensions " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_dimensions() << std::endl;
+    deallog << "Size " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_size() << std::endl;
+    deallog << "Rank " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_rank() << std::endl;
+    {
+      auto data = dataset.read<std::vector<Number>>();
+
+      pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_io_mode() << std::endl;
+      pcout << "Local no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_local_no_collective_cause()
+            << std::endl;
+      pcout << "Global no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_global_no_collective_cause()
+            << std::endl;
+
+      deallog << "Data " + dataset_name << "<" << type_name << ">"
+              << " (Read): " << container_to_string(data) << std::endl;
+    }
+  }
+
+  {
+    std::string dataset_name("dataset_4");
+
+    // This dataset is a 3x2x4 tensor
+    // Output generated by h5dump
+    //  (0,0,0): 0, 1, 2, 3,
+    //  (0,1,0): 0, 2, 4, 6,
+    //  (1,0,0): 4, 5, 6, 7,
+    //  (1,1,0): 8, 10, 12, 14,
+    //  (2,0,0): 8, 9, 10, 11,
+    //  (2,1,0): 16, 18, 20, 22
+
+    auto dataset = group.dataset(dataset_name);
+    dataset.set_query_io_mode(true);
+    deallog << "Dimensions " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_dimensions() << std::endl;
+    deallog << "Size " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_size() << std::endl;
+    deallog << "Rank " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_rank() << std::endl;
+    {
+      auto data = dataset.read<std::vector<Number>>();
+
+      pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_io_mode() << std::endl;
+      pcout << "Local no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_local_no_collective_cause()
+            << std::endl;
+      pcout << "Global no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_global_no_collective_cause()
+            << std::endl;
+
+      deallog << "Data " + dataset_name << "<" << type_name << ">"
+              << " (Read): " << container_to_string(data) << std::endl;
+    }
+  }
+
+  {
+    std::string dataset_name("dataset_5");
+
+    // This dataset is a 3x2x4 tensor
+    // Output generated by h5dump
+    //  (0,0,0): 2, 0, 0, 38,
+    //  (0,1,0): 6, 5, 0, 3,
+    //  (1,0,0): 12, 0, 0, 0,
+    //  (1,1,0): 16, 15, 0, 13,
+    //  (2,0,0): 32, 0, 0, 0,
+    //  (2,1,0): 36, 35, 0, 33
+
+
+    auto dataset = group.dataset(dataset_name);
+    dataset.set_query_io_mode(true);
+    deallog << "Dimensions " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_dimensions() << std::endl;
+    deallog << "Size " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_size() << std::endl;
+    deallog << "Rank " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_rank() << std::endl;
+    {
+      auto data = dataset.read<std::vector<Number>>();
+
+      pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_io_mode() << std::endl;
+      pcout << "Local no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_local_no_collective_cause()
+            << std::endl;
+      pcout << "Global no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_global_no_collective_cause()
+            << std::endl;
+
+      deallog << "Data " + dataset_name << "<" << type_name << ">"
+              << " (Read): " << container_to_string(data) << std::endl;
+    }
+  }
+
+  {
+    std::string dataset_name("dataset_6");
+
+    // This dataset is a 7x12 matrix
+    // Output generated by h5dump
+    //  (0,0): -0, 0, 1, -1, 2, 3, -2, 4, 5, -3, 6, 7,
+    //  (1,0): -4, 8, 9, -5, 10, 11, -6, 12, 13, -7, 14, 15,
+    //  (2,0): -8, 16, 17, -9, 18, 19, -10, 20, 21, -11, 22, 23,
+    //  (3,0): -12, 0, 0, -13, 0, 0, -14, 0, 0, -15, 0, 0,
+    //  (4,0): -16, 24, 25, -17, 26, 27, -18, 28, 29, -19, 30, 31,
+    //  (5,0): -20, 32, 33, -21, 34, 35, -22, 36, 37, -23, 38, 39,
+    //  (6,0): -24, 40, 41, -25, 42, 43, -26, 44, 45, -27, 46, 47
+
+
+    auto dataset = group.dataset(dataset_name);
+    dataset.set_query_io_mode(true);
+    deallog << "Dimensions " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_dimensions() << std::endl;
+    deallog << "Size " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_size() << std::endl;
+    deallog << "Rank " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_rank() << std::endl;
+    {
+      auto data = dataset.read<FullMatrix<Number>>();
+
+      pcout << "IO mode " + dataset_name << "<" << type_name << ">"
+            << " (Read): " << dataset.get_io_mode() << std::endl;
+      pcout << "Local no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_local_no_collective_cause()
+            << std::endl;
+      pcout << "Global no collective cause " << dataset_name << "<" << type_name
+            << ">"
+            << " (Read): " << dataset.get_global_no_collective_cause()
+            << std::endl;
+
+      deallog << "Data " + dataset_name << "<" << type_name << ">"
+              << " (Read): " << container_to_string(data) << std::endl;
+    }
+  }
 }
 
 
@@ -386,7 +1172,9 @@ main(int argc, char **argv)
                              mpi_communicator,
                              HDF5::File::Mode::create);
 
+        write_test<float>(data_file, mpi_communicator, pcout);
         write_test<double>(data_file, mpi_communicator, pcout);
+        write_test<std::complex<float>>(data_file, mpi_communicator, pcout);
         write_test<std::complex<double>>(data_file, mpi_communicator, pcout);
       }
 
@@ -394,7 +1182,9 @@ main(int argc, char **argv)
         HDF5::File data_file(filename,
                              mpi_communicator,
                              HDF5::File::Mode::open);
+        read_test<float>(data_file, mpi_communicator, pcout);
         read_test<double>(data_file, mpi_communicator, pcout);
+        read_test<std::complex<float>>(data_file, mpi_communicator, pcout);
         read_test<std::complex<double>>(data_file, mpi_communicator, pcout);
       }
     }

diff --git a/tests/base/hdf5_05.with_hdf5=true.with_complex_values=on.mpirun=4.output b/tests/base/hdf5_05.with_hdf5=true.with_complex_values=on.mpirun=4.output
index 85bce4bdbe5e3b66469af4856f095dd2fb820444..cb302f251de6f921eb0086a059fa61c6e1c7e0d6 100644 (file)
--- a/tests/base/hdf5_05.with_hdf5=true.with_complex_values=on.mpirun=4.output
+++ b/tests/base/hdf5_05.with_hdf5=true.with_complex_values=on.mpirun=4.output
@@ -1,14 +1,122 @@
 
+DEAL::Write tests for float datasets
+DEAL::Dimensions dataset_1<float> (Write): 5 3
+DEAL::Size dataset_1<float> (Write): 15
+DEAL::Rank dataset_1<float> (Write): 2
+DEAL::Data dataset_1<float> (Write): [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
+DEAL::Dimensions dataset_2<float> (Write): 2 5 3
+DEAL::Size dataset_2<float> (Write): 30
+DEAL::Rank dataset_2<float> (Write): 3
+DEAL::Data dataset_2<float> (Write): [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
+DEAL::Dimensions dataset_3<float> (Write): 2 5 3
+DEAL::Size dataset_3<float> (Write): 30
+DEAL::Rank dataset_3<float> (Write): 3
+DEAL::Dimensions dataset_4<float> (Write): 3 2 4
+DEAL::Size dataset_4<float> (Write): 24
+DEAL::Rank dataset_4<float> (Write): 3
+DEAL::Dimensions dataset_5<float> (Write): 3 2 4
+DEAL::Size dataset_5<float> (Write): 24
+DEAL::Rank dataset_5<float> (Write): 3
+DEAL::Dimensions dataset_6<float> (Write): 7 12
+DEAL::Size dataset_6<float> (Write): 84
+DEAL::Rank dataset_6<float> (Write): 2
 DEAL::Write tests for double datasets
 DEAL::Dimensions dataset_1<double> (Write): 5 3
 DEAL::Size dataset_1<double> (Write): 15
 DEAL::Rank dataset_1<double> (Write): 2
 DEAL::Data dataset_1<double> (Write): [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
+DEAL::Dimensions dataset_2<double> (Write): 2 5 3
+DEAL::Size dataset_2<double> (Write): 30
+DEAL::Rank dataset_2<double> (Write): 3
+DEAL::Data dataset_2<double> (Write): [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
+DEAL::Dimensions dataset_3<double> (Write): 2 5 3
+DEAL::Size dataset_3<double> (Write): 30
+DEAL::Rank dataset_3<double> (Write): 3
+DEAL::Dimensions dataset_4<double> (Write): 3 2 4
+DEAL::Size dataset_4<double> (Write): 24
+DEAL::Rank dataset_4<double> (Write): 3
+DEAL::Dimensions dataset_5<double> (Write): 3 2 4
+DEAL::Size dataset_5<double> (Write): 24
+DEAL::Rank dataset_5<double> (Write): 3
+DEAL::Dimensions dataset_6<double> (Write): 7 12
+DEAL::Size dataset_6<double> (Write): 84
+DEAL::Rank dataset_6<double> (Write): 2
+DEAL::Write tests for std::complex<float> datasets
+DEAL::Dimensions dataset_1<std::complex<float>> (Write): 5 3
+DEAL::Size dataset_1<std::complex<float>> (Write): 15
+DEAL::Rank dataset_1<std::complex<float>> (Write): 2
+DEAL::Data dataset_1<std::complex<float>> (Write): [(0,0), (1,0), (2,0), (3,0), (4,0), (5,0), (6,0), (7,0), (8,0), (9,0), (10,0), (11,0), (12,0), (13,0), (14,0)]
+DEAL::Dimensions dataset_2<std::complex<float>> (Write): 2 5 3
+DEAL::Size dataset_2<std::complex<float>> (Write): 30
+DEAL::Rank dataset_2<std::complex<float>> (Write): 3
+DEAL::Data dataset_2<std::complex<float>> (Write): [(0,0), (1,0), (2,0), (3,0), (4,0), (5,0), (6,0), (7,0), (8,0), (9,0), (10,0), (11,0), (12,0), (13,0), (14,0), (15,0), (16,0), (17,0), (18,0), (19,0), (20,0), (21,0), (22,0), (23,0), (24,0), (25,0), (26,0), (27,0), (28,0), (29,0)]
+DEAL::Dimensions dataset_3<std::complex<float>> (Write): 2 5 3
+DEAL::Size dataset_3<std::complex<float>> (Write): 30
+DEAL::Rank dataset_3<std::complex<float>> (Write): 3
+DEAL::Dimensions dataset_4<std::complex<float>> (Write): 3 2 4
+DEAL::Size dataset_4<std::complex<float>> (Write): 24
+DEAL::Rank dataset_4<std::complex<float>> (Write): 3
+DEAL::Dimensions dataset_5<std::complex<float>> (Write): 3 2 4
+DEAL::Size dataset_5<std::complex<float>> (Write): 24
+DEAL::Rank dataset_5<std::complex<float>> (Write): 3
+DEAL::Dimensions dataset_6<std::complex<float>> (Write): 7 12
+DEAL::Size dataset_6<std::complex<float>> (Write): 84
+DEAL::Rank dataset_6<std::complex<float>> (Write): 2
 DEAL::Write tests for std::complex<double> datasets
 DEAL::Dimensions dataset_1<std::complex<double>> (Write): 5 3
 DEAL::Size dataset_1<std::complex<double>> (Write): 15
 DEAL::Rank dataset_1<std::complex<double>> (Write): 2
 DEAL::Data dataset_1<std::complex<double>> (Write): [(0,0), (1,0), (2,0), (3,0), (4,0), (5,0), (6,0), (7,0), (8,0), (9,0), (10,0), (11,0), (12,0), (13,0), (14,0)]
+DEAL::Dimensions dataset_2<std::complex<double>> (Write): 2 5 3
+DEAL::Size dataset_2<std::complex<double>> (Write): 30
+DEAL::Rank dataset_2<std::complex<double>> (Write): 3
+DEAL::Data dataset_2<std::complex<double>> (Write): [(0,0), (1,0), (2,0), (3,0), (4,0), (5,0), (6,0), (7,0), (8,0), (9,0), (10,0), (11,0), (12,0), (13,0), (14,0), (15,0), (16,0), (17,0), (18,0), (19,0), (20,0), (21,0), (22,0), (23,0), (24,0), (25,0), (26,0), (27,0), (28,0), (29,0)]
+DEAL::Dimensions dataset_3<std::complex<double>> (Write): 2 5 3
+DEAL::Size dataset_3<std::complex<double>> (Write): 30
+DEAL::Rank dataset_3<std::complex<double>> (Write): 3
+DEAL::Dimensions dataset_4<std::complex<double>> (Write): 3 2 4
+DEAL::Size dataset_4<std::complex<double>> (Write): 24
+DEAL::Rank dataset_4<std::complex<double>> (Write): 3
+DEAL::Dimensions dataset_5<std::complex<double>> (Write): 3 2 4
+DEAL::Size dataset_5<std::complex<double>> (Write): 24
+DEAL::Rank dataset_5<std::complex<double>> (Write): 3
+DEAL::Dimensions dataset_6<std::complex<double>> (Write): 7 12
+DEAL::Size dataset_6<std::complex<double>> (Write): 84
+DEAL::Rank dataset_6<std::complex<double>> (Write): 2
+DEAL::Read tests for float datasets
+DEAL::Dimensions dataset_1<float> (Read): 5 3
+DEAL::Size dataset_1<float> (Read): 15
+DEAL::Rank dataset_1<float> (Read): 2
+DEAL::Data dataset_1<float> (Read): [[0, 1, 2], [3, 4, 5], [6, 7, 8], [9, 10, 11], [12, 13, 14]]
+DEAL::Column vector dataset_1<float> (Read): [7, 10, 13]
+DEAL::Row vector dataset_1<float> (Read): [9, 10, 11]
+DEAL::Sub-matrix dataset_1<float> (Read): [[3, 4, 5], [6, 7, 8]]
+DEAL::Dimensions dataset_2<float> (Read): 2 5 3
+DEAL::Size dataset_2<float> (Read): 30
+DEAL::Rank dataset_2<float> (Read): 3
+DEAL::Data dataset_2<float> (Read): [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
+DEAL::Column vector dataset_2<float> (Read): [16, 19, 22, 25]
+DEAL::Row vector dataset_2<float> (Read): [1, 16]
+DEAL::Sub-matrix dataset_2<float> (Read): [[18, 19], [21, 22], [24, 25]]
+DEAL::Sub-matrix dataset_2<float> (Read): [[3, 4, 5], [18, 19, 20]]
+DEAL::Sub-matrix dataset_2<float> (Read): [[0, 2], [6, 8], [12, 14]]
+DEAL::Selection dataset_2<float> (Read): [0, 20, 22, 13, 11]
+DEAL::Dimensions dataset_3<float> (Read): 2 5 3
+DEAL::Size dataset_3<float> (Read): 30
+DEAL::Rank dataset_3<float> (Read): 3
+DEAL::Data dataset_3<float> (Read): [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28]
+DEAL::Dimensions dataset_4<float> (Read): 3 2 4
+DEAL::Size dataset_4<float> (Read): 24
+DEAL::Rank dataset_4<float> (Read): 3
+DEAL::Data dataset_4<float> (Read): [0, 1, 2, 3, 0, 2, 4, 6, 4, 5, 6, 7, 8, 10, 12, 14, 8, 9, 10, 11, 16, 18, 20, 22]
+DEAL::Dimensions dataset_5<float> (Read): 3 2 4
+DEAL::Size dataset_5<float> (Read): 24
+DEAL::Rank dataset_5<float> (Read): 3
+DEAL::Data dataset_5<float> (Read): [2, 0, 0, 38, 6, 5, 0, 3, 12, 0, 0, 0, 16, 15, 0, 13, 32, 0, 0, 0, 36, 35, 0, 33]
+DEAL::Dimensions dataset_6<float> (Read): 7 12
+DEAL::Size dataset_6<float> (Read): 84
+DEAL::Rank dataset_6<float> (Read): 2
+DEAL::Data dataset_6<float> (Read): [[-0, 0, 1, -1, 2, 3, -2, 4, 5, -3, 6, 7], [-4, 8, 9, -5, 10, 11, -6, 12, 13, -7, 14, 15], [-8, 16, 17, -9, 18, 19, -10, 20, 21, -11, 22, 23], [-12, 0, 0, -13, 0, 0, -14, 0, 0, -15, 0, 0], [-16, 24, 25, -17, 26, 27, -18, 28, 29, -19, 30, 31], [-20, 32, 33, -21, 34, 35, -22, 36, 37, -23, 38, 39], [-24, 40, 41, -25, 42, 43, -26, 44, 45, -27, 46, 47]]
 DEAL::Read tests for double datasets
 DEAL::Dimensions dataset_1<double> (Read): 5 3
 DEAL::Size dataset_1<double> (Read): 15
@@ -17,6 +125,66 @@ DEAL::Data dataset_1<double> (Read): [[0, 1, 2], [3, 4, 5], [6, 7, 8], [9, 10, 1
 DEAL::Column vector dataset_1<double> (Read): [7, 10, 13]
 DEAL::Row vector dataset_1<double> (Read): [9, 10, 11]
 DEAL::Sub-matrix dataset_1<double> (Read): [[3, 4, 5], [6, 7, 8]]
+DEAL::Dimensions dataset_2<double> (Read): 2 5 3
+DEAL::Size dataset_2<double> (Read): 30
+DEAL::Rank dataset_2<double> (Read): 3
+DEAL::Data dataset_2<double> (Read): [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
+DEAL::Column vector dataset_2<double> (Read): [16, 19, 22, 25]
+DEAL::Row vector dataset_2<double> (Read): [1, 16]
+DEAL::Sub-matrix dataset_2<double> (Read): [[18, 19], [21, 22], [24, 25]]
+DEAL::Sub-matrix dataset_2<double> (Read): [[3, 4, 5], [18, 19, 20]]
+DEAL::Sub-matrix dataset_2<double> (Read): [[0, 2], [6, 8], [12, 14]]
+DEAL::Selection dataset_2<double> (Read): [0, 20, 22, 13, 11]
+DEAL::Dimensions dataset_3<double> (Read): 2 5 3
+DEAL::Size dataset_3<double> (Read): 30
+DEAL::Rank dataset_3<double> (Read): 3
+DEAL::Data dataset_3<double> (Read): [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28]
+DEAL::Dimensions dataset_4<double> (Read): 3 2 4
+DEAL::Size dataset_4<double> (Read): 24
+DEAL::Rank dataset_4<double> (Read): 3
+DEAL::Data dataset_4<double> (Read): [0, 1, 2, 3, 0, 2, 4, 6, 4, 5, 6, 7, 8, 10, 12, 14, 8, 9, 10, 11, 16, 18, 20, 22]
+DEAL::Dimensions dataset_5<double> (Read): 3 2 4
+DEAL::Size dataset_5<double> (Read): 24
+DEAL::Rank dataset_5<double> (Read): 3
+DEAL::Data dataset_5<double> (Read): [2, 0, 0, 38, 6, 5, 0, 3, 12, 0, 0, 0, 16, 15, 0, 13, 32, 0, 0, 0, 36, 35, 0, 33]
+DEAL::Dimensions dataset_6<double> (Read): 7 12
+DEAL::Size dataset_6<double> (Read): 84
+DEAL::Rank dataset_6<double> (Read): 2
+DEAL::Data dataset_6<double> (Read): [[-0, 0, 1, -1, 2, 3, -2, 4, 5, -3, 6, 7], [-4, 8, 9, -5, 10, 11, -6, 12, 13, -7, 14, 15], [-8, 16, 17, -9, 18, 19, -10, 20, 21, -11, 22, 23], [-12, 0, 0, -13, 0, 0, -14, 0, 0, -15, 0, 0], [-16, 24, 25, -17, 26, 27, -18, 28, 29, -19, 30, 31], [-20, 32, 33, -21, 34, 35, -22, 36, 37, -23, 38, 39], [-24, 40, 41, -25, 42, 43, -26, 44, 45, -27, 46, 47]]
+DEAL::Read tests for std::complex<float> datasets
+DEAL::Dimensions dataset_1<std::complex<float>> (Read): 5 3
+DEAL::Size dataset_1<std::complex<float>> (Read): 15
+DEAL::Rank dataset_1<std::complex<float>> (Read): 2
+DEAL::Data dataset_1<std::complex<float>> (Read): [[(0,0), (1,0), (2,0)], [(3,0), (4,0), (5,0)], [(6,0), (7,0), (8,0)], [(9,0), (10,0), (11,0)], [(12,0), (13,0), (14,0)]]
+DEAL::Column vector dataset_1<std::complex<float>> (Read): [(7,0), (10,0), (13,0)]
+DEAL::Row vector dataset_1<std::complex<float>> (Read): [(9,0), (10,0), (11,0)]
+DEAL::Sub-matrix dataset_1<std::complex<float>> (Read): [[(3,0), (4,0), (5,0)], [(6,0), (7,0), (8,0)]]
+DEAL::Dimensions dataset_2<std::complex<float>> (Read): 2 5 3
+DEAL::Size dataset_2<std::complex<float>> (Read): 30
+DEAL::Rank dataset_2<std::complex<float>> (Read): 3
+DEAL::Data dataset_2<std::complex<float>> (Read): [(0,0), (1,0), (2,0), (3,0), (4,0), (5,0), (6,0), (7,0), (8,0), (9,0), (10,0), (11,0), (12,0), (13,0), (14,0), (15,0), (16,0), (17,0), (18,0), (19,0), (20,0), (21,0), (22,0), (23,0), (24,0), (25,0), (26,0), (27,0), (28,0), (29,0)]
+DEAL::Column vector dataset_2<std::complex<float>> (Read): [(16,0), (19,0), (22,0), (25,0)]
+DEAL::Row vector dataset_2<std::complex<float>> (Read): [(1,0), (16,0)]
+DEAL::Sub-matrix dataset_2<std::complex<float>> (Read): [[(18,0), (19,0)], [(21,0), (22,0)], [(24,0), (25,0)]]
+DEAL::Sub-matrix dataset_2<std::complex<float>> (Read): [[(3,0), (4,0), (5,0)], [(18,0), (19,0), (20,0)]]
+DEAL::Sub-matrix dataset_2<std::complex<float>> (Read): [[(0,0), (2,0)], [(6,0), (8,0)], [(12,0), (14,0)]]
+DEAL::Selection dataset_2<std::complex<float>> (Read): [(0,0), (20,0), (22,0), (13,0), (11,0)]
+DEAL::Dimensions dataset_3<std::complex<float>> (Read): 2 5 3
+DEAL::Size dataset_3<std::complex<float>> (Read): 30
+DEAL::Rank dataset_3<std::complex<float>> (Read): 3
+DEAL::Data dataset_3<std::complex<float>> (Read): [(0,0), (1,0), (2,0), (3,0), (4,0), (5,0), (6,0), (7,0), (8,0), (9,0), (10,0), (11,0), (12,0), (13,0), (14,0), (0,0), (2,0), (4,0), (6,0), (8,0), (10,0), (12,0), (14,0), (16,0), (18,0), (20,0), (22,0), (24,0), (26,0), (28,0)]
+DEAL::Dimensions dataset_4<std::complex<float>> (Read): 3 2 4
+DEAL::Size dataset_4<std::complex<float>> (Read): 24
+DEAL::Rank dataset_4<std::complex<float>> (Read): 3
+DEAL::Data dataset_4<std::complex<float>> (Read): [(0,0), (1,0), (2,0), (3,0), (0,0), (2,0), (4,0), (6,0), (4,0), (5,0), (6,0), (7,0), (8,0), (10,0), (12,0), (14,0), (8,0), (9,0), (10,0), (11,0), (16,0), (18,0), (20,0), (22,0)]
+DEAL::Dimensions dataset_5<std::complex<float>> (Read): 3 2 4
+DEAL::Size dataset_5<std::complex<float>> (Read): 24
+DEAL::Rank dataset_5<std::complex<float>> (Read): 3
+DEAL::Data dataset_5<std::complex<float>> (Read): [(2,0), (0,0), (0,0), (38,0), (6,0), (5,0), (0,0), (3,0), (12,0), (0,0), (0,0), (0,0), (16,0), (15,0), (0,0), (13,0), (32,0), (0,0), (0,0), (0,0), (36,0), (35,0), (0,0), (33,0)]
+DEAL::Dimensions dataset_6<std::complex<float>> (Read): 7 12
+DEAL::Size dataset_6<std::complex<float>> (Read): 84
+DEAL::Rank dataset_6<std::complex<float>> (Read): 2
+DEAL::Data dataset_6<std::complex<float>> (Read): [[(-0,0), (0,0), (1,0), (-1,0), (2,0), (3,0), (-2,0), (4,0), (5,0), (-3,0), (6,0), (7,0)], [(-4,0), (8,0), (9,0), (-5,0), (10,0), (11,0), (-6,0), (12,0), (13,0), (-7,0), (14,0), (15,0)], [(-8,0), (16,0), (17,0), (-9,0), (18,0), (19,0), (-10,0), (20,0), (21,0), (-11,0), (22,0), (23,0)], [(-12,0), (0,0), (0,0), (-13,0), (0,0), (0,0), (-14,0), (0,0), (0,0), (-15,0), (0,0), (0,0)], [(-16,0), (24,0), (25,0), (-17,0), (26,0), (27,0), (-18,0), (28,0), (29,0), (-19,0), (30,0), (31,0)], [(-20,0), (32,0), (33,0), (-21,0), (34,0), (35,0), (-22,0), (36,0), (37,0), (-23,0), (38,0), (39,0)], [(-24,0), (40,0), (41,0), (-25,0), (42,0), (43,0), (-26,0), (44,0), (45,0), (-27,0), (46,0), (47,0)]]
 DEAL::Read tests for std::complex<double> datasets
 DEAL::Dimensions dataset_1<std::complex<double>> (Read): 5 3
 DEAL::Size dataset_1<std::complex<double>> (Read): 15
@@ -25,3 +193,29 @@ DEAL::Data dataset_1<std::complex<double>> (Read): [[(0,0), (1,0), (2,0)], [(3,0
 DEAL::Column vector dataset_1<std::complex<double>> (Read): [(7,0), (10,0), (13,0)]
 DEAL::Row vector dataset_1<std::complex<double>> (Read): [(9,0), (10,0), (11,0)]
 DEAL::Sub-matrix dataset_1<std::complex<double>> (Read): [[(3,0), (4,0), (5,0)], [(6,0), (7,0), (8,0)]]
+DEAL::Dimensions dataset_2<std::complex<double>> (Read): 2 5 3
+DEAL::Size dataset_2<std::complex<double>> (Read): 30
+DEAL::Rank dataset_2<std::complex<double>> (Read): 3
+DEAL::Data dataset_2<std::complex<double>> (Read): [(0,0), (1,0), (2,0), (3,0), (4,0), (5,0), (6,0), (7,0), (8,0), (9,0), (10,0), (11,0), (12,0), (13,0), (14,0), (15,0), (16,0), (17,0), (18,0), (19,0), (20,0), (21,0), (22,0), (23,0), (24,0), (25,0), (26,0), (27,0), (28,0), (29,0)]
+DEAL::Column vector dataset_2<std::complex<double>> (Read): [(16,0), (19,0), (22,0), (25,0)]
+DEAL::Row vector dataset_2<std::complex<double>> (Read): [(1,0), (16,0)]
+DEAL::Sub-matrix dataset_2<std::complex<double>> (Read): [[(18,0), (19,0)], [(21,0), (22,0)], [(24,0), (25,0)]]
+DEAL::Sub-matrix dataset_2<std::complex<double>> (Read): [[(3,0), (4,0), (5,0)], [(18,0), (19,0), (20,0)]]
+DEAL::Sub-matrix dataset_2<std::complex<double>> (Read): [[(0,0), (2,0)], [(6,0), (8,0)], [(12,0), (14,0)]]
+DEAL::Selection dataset_2<std::complex<double>> (Read): [(0,0), (20,0), (22,0), (13,0), (11,0)]
+DEAL::Dimensions dataset_3<std::complex<double>> (Read): 2 5 3
+DEAL::Size dataset_3<std::complex<double>> (Read): 30
+DEAL::Rank dataset_3<std::complex<double>> (Read): 3
+DEAL::Data dataset_3<std::complex<double>> (Read): [(0,0), (1,0), (2,0), (3,0), (4,0), (5,0), (6,0), (7,0), (8,0), (9,0), (10,0), (11,0), (12,0), (13,0), (14,0), (0,0), (2,0), (4,0), (6,0), (8,0), (10,0), (12,0), (14,0), (16,0), (18,0), (20,0), (22,0), (24,0), (26,0), (28,0)]
+DEAL::Dimensions dataset_4<std::complex<double>> (Read): 3 2 4
+DEAL::Size dataset_4<std::complex<double>> (Read): 24
+DEAL::Rank dataset_4<std::complex<double>> (Read): 3
+DEAL::Data dataset_4<std::complex<double>> (Read): [(0,0), (1,0), (2,0), (3,0), (0,0), (2,0), (4,0), (6,0), (4,0), (5,0), (6,0), (7,0), (8,0), (10,0), (12,0), (14,0), (8,0), (9,0), (10,0), (11,0), (16,0), (18,0), (20,0), (22,0)]
+DEAL::Dimensions dataset_5<std::complex<double>> (Read): 3 2 4
+DEAL::Size dataset_5<std::complex<double>> (Read): 24
+DEAL::Rank dataset_5<std::complex<double>> (Read): 3
+DEAL::Data dataset_5<std::complex<double>> (Read): [(2,0), (0,0), (0,0), (38,0), (6,0), (5,0), (0,0), (3,0), (12,0), (0,0), (0,0), (0,0), (16,0), (15,0), (0,0), (13,0), (32,0), (0,0), (0,0), (0,0), (36,0), (35,0), (0,0), (33,0)]
+DEAL::Dimensions dataset_6<std::complex<double>> (Read): 7 12
+DEAL::Size dataset_6<std::complex<double>> (Read): 84
+DEAL::Rank dataset_6<std::complex<double>> (Read): 2
+DEAL::Data dataset_6<std::complex<double>> (Read): [[(-0,0), (0,0), (1,0), (-1,0), (2,0), (3,0), (-2,0), (4,0), (5,0), (-3,0), (6,0), (7,0)], [(-4,0), (8,0), (9,0), (-5,0), (10,0), (11,0), (-6,0), (12,0), (13,0), (-7,0), (14,0), (15,0)], [(-8,0), (16,0), (17,0), (-9,0), (18,0), (19,0), (-10,0), (20,0), (21,0), (-11,0), (22,0), (23,0)], [(-12,0), (0,0), (0,0), (-13,0), (0,0), (0,0), (-14,0), (0,0), (0,0), (-15,0), (0,0), (0,0)], [(-16,0), (24,0), (25,0), (-17,0), (26,0), (27,0), (-18,0), (28,0), (29,0), (-19,0), (30,0), (31,0)], [(-20,0), (32,0), (33,0), (-21,0), (34,0), (35,0), (-22,0), (36,0), (37,0), (-23,0), (38,0), (39,0)], [(-24,0), (40,0), (41,0), (-25,0), (42,0), (43,0), (-26,0), (44,0), (45,0), (-27,0), (46,0), (47,0)]]