ErrorFunctionsMock.h

#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