Fix some codacy warnings.

Author: breyerml

cmake/presets/common.json

@@ -43,8 +43,8 @@
         "PLSSVM_ENABLE_ASSERTS": "ON",
         "PLSSVM_ENFORCE_MAX_MEM_ALLOC_SIZE": "OFF",
         "PLSSVM_ENABLE_TESTING": "ON",
-        "PLSSVM_TEST_FILE_NUM_DATA_POINTS": "250",
-        "PLSSVM_TEST_FILE_NUM_FEATURES": "100",
+        "PLSSVM_TEST_FILE_NUM_DATA_POINTS": "25",
+        "PLSSVM_TEST_FILE_NUM_FEATURES": "10",
         "PLSSVM_TEST_WITH_REDUCED_LABEL_TYPES": "ON"
       }
     }

tests/data_set/classification/constructors.cpp

@@ -837,7 +837,6 @@ TYPED_TEST(ClassificationDataSetMatrixConstructors, construct_from_empty_matrix_
     constexpr plssvm::layout_type layout = TestFixture::fixture_layout;
 
     // create data points and labels
-    const std::vector<label_type> different_labels = util::get_distinct_label<label_type>();
     const std::vector<label_type> labels = util::get_correct_data_file_labels<label_type>();
     const plssvm::matrix<plssvm::real_type, layout> data_points{ plssvm::shape{ 0, 0 }, plssvm::shape{ plssvm::PADDING_SIZE, plssvm::PADDING_SIZE } };
 
@@ -1300,7 +1299,6 @@ TYPED_TEST(ClassificationDataSetRValueMatrixConstructors, construct_scaled_from_
     // create data points and labels
     const std::vector<label_type> different_labels = util::get_distinct_label<label_type>();
     std::vector<label_type> labels = util::get_correct_data_file_labels<label_type>();
-    const std::vector<label_type> copied_labels = labels;
     auto correct_data_points = util::generate_specific_matrix<plssvm::soa_matrix<plssvm::real_type>>(plssvm::shape{ labels.size(), 4 }, plssvm::shape{ plssvm::PADDING_SIZE, plssvm::PADDING_SIZE });
     EXPECT_THROW_WHAT((plssvm::classification_data_set<label_type>{ plssvm::mpi::communicator{}, std::move(correct_data_points), std::move(labels), plssvm::min_max_scaler{ comm, plssvm::real_type{ -1.0 }, plssvm::real_type{ 1.0 } } }),
                       plssvm::mpi_exception,

tests/data_set/regression/constructors.cpp

@@ -607,7 +607,6 @@ TYPED_TEST(RegressionDataSetConstructors, construct_scaled_from_vector_with_labe
     const plssvm::mpi::communicator comm{ duplicated_mpi_comm };
 
     // create data points
-    const std::vector<label_type> different_labels = util::get_distinct_label<label_type>();
     const std::vector<label_type> labels = util::get_correct_data_file_labels<label_type>();
     const auto correct_data_points = util::generate_specific_matrix<plssvm::soa_matrix<plssvm::real_type>>(plssvm::shape{ labels.size(), 4 }, plssvm::shape{ plssvm::PADDING_SIZE, plssvm::PADDING_SIZE });
     EXPECT_THROW_WHAT((plssvm::regression_data_set<label_type>{ plssvm::mpi::communicator{}, correct_data_points.to_2D_vector(), labels, plssvm::min_max_scaler{ comm, plssvm::real_type{ -1.0 }, plssvm::real_type{ 1.0 } } }),
@@ -1192,7 +1191,6 @@ TYPED_TEST(RegressionDataSetRValueMatrixConstructors, construct_scaled_from_rval
     // create data points and labels
     const std::vector<label_type> different_labels = util::get_distinct_label<label_type>();
     std::vector<label_type> labels = util::get_correct_data_file_labels<label_type>();
-    const std::vector<label_type> copied_labels = labels;
     auto correct_data_points = util::generate_specific_matrix<plssvm::soa_matrix<plssvm::real_type>>(plssvm::shape{ labels.size(), 4 }, plssvm::shape{ plssvm::PADDING_SIZE, plssvm::PADDING_SIZE });
     EXPECT_THROW_WHAT((plssvm::regression_data_set<label_type>{ plssvm::mpi::communicator{}, std::move(correct_data_points), std::move(labels), plssvm::min_max_scaler{ comm, plssvm::real_type{ -1.0 }, plssvm::real_type{ 1.0 } } }),
                       plssvm::mpi_exception,