#ifndef LIB4NEURO_ERRORFUNCTIONSMOCK_H #define LIB4NEURO_ERRORFUNCTIONSMOCK_H #include "../ErrorFunction/ErrorFunctions.h" #include "../DataSet/DataSet.h" #include <turtle/mock.hpp> using namespace lib4neuro; MOCK_BASE_CLASS(mock_ErrorFunction, lib4neuro::ErrorFunction ) { MOCK_METHOD(eval, 3) MOCK_METHOD(eval_on_single_input, 3) MOCK_METHOD(get_dimension, 0) MOCK_METHOD(calculate_error_gradient, 4) MOCK_METHOD(analyze_error_gradient, 4) MOCK_METHOD(get_parameters, 0) MOCK_METHOD(get_n_data_set, 0) MOCK_METHOD(get_n_test_data_set, 0) MOCK_METHOD(get_n_outputs, 0) MOCK_METHOD(set_parameters, 1) MOCK_METHOD(divide_data_train_test, 1) MOCK_METHOD(return_full_data_set_for_training, 0) MOCK_METHOD(get_jacobian_and_rhs, 2) MOCK_METHOD(eval_on_test_data, 2, double(std::vector<double> *, bool), id1) MOCK_METHOD(eval_on_test_data, 3, double(std::string, std::vector<double> *, bool), id2) MOCK_METHOD(eval_on_test_data, 3, double(std::ofstream *, std::vector<double> *, bool), id3) MOCK_METHOD(eval_on_data_set, 3, double(DataSet *, std::vector<double> *, bool), id4) MOCK_METHOD(eval_on_data_set, 4, double(DataSet *, std::string, std::vector<double> *, bool), id5) MOCK_METHOD(eval_on_data_set, 4, double(DataSet *, std::ofstream *, std::vector<double> *, bool), id6) MOCK_METHOD(eval_single_item_by_idx, 3) MOCK_METHOD(calculate_error_gradient_single, 2) MOCK_METHOD(calculate_residual_gradient, 4) MOCK_METHOD(calculate_single_residual, 3) MOCK_METHOD(randomize_parameters, 1) }; #endif //LIB4NEURO_ERRORFUNCTIONSMOCK_H