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How to use cover_missing_combination method in avocado

Best Python code snippet using avocado_python

Cit.py

Source:Cit.py

...109            solution, row_index, parameters = self.change_one_value(matrix)110        elif switch == 1:111            solution, row_index, parameters = self.change_one_column(matrix)112        else:113            solution, row_index, parameters = self.cover_missing_combination(matrix)114        return solution, row_index, parameters115    def compute_row(self):116        """117        Computation of one row which covers most of combinations118        :return: new solution row119        """120        is_valid_row = False121        while not is_valid_row:122            possible_parameters = list(self.combination_matrix.uncovered_rows)123            row = [-1] * len(self.data)124            while len(possible_parameters) != 0:125                # finding uncovered combination126                combination_parameters_index = random.randint(0, len(possible_parameters) - 1)127                combination_parameters = possible_parameters[combination_parameters_index]128                del possible_parameters[combination_parameters_index]129                combination_row = self.combination_matrix.get_row(combination_parameters)130                possible_combinations = list(combination_row.get_all_uncovered_combinations())131                combination_index = random.randint(0, len(possible_combinations) - 1)132                combination = possible_combinations[combination_index]133                is_parameter_used = False134                # Are parameters already used in row?135                for i in combination_parameters:136                    if row[i] != -1:137                        is_parameter_used = True138                        break139                if is_parameter_used:140                    continue141                row_copy = row.copy()142                # Is combination matches the constraints?143                for index, parameter in enumerate(combination_parameters):144                    row_copy[parameter] = combination[index]145                if self.combination_matrix.is_valid_solution(row_copy):146                    row = row_copy147            # Filling in of free spaces inside the row148            for index, r in enumerate(row):149                if r == -1:150                    is_valid = False151                    while not is_valid:152                        row[index] = random.randint(0, self.data[index] - 1)153                        is_valid = self.combination_matrix.is_valid_solution(row)154            is_valid_row = self.combination_matrix.is_valid_solution(row)155        return row156    def cover_missing_combination(self, matrix):157        """158        Randomly finds one missing combination. This combination puts into each159        row of the matrix. The row with the best coverage is the solution160        :param matrix: matrix to be changed161        :return: solution, index of solution inside matrix and parameters which has been changed162        """163        parameters, combination = self.get_missing_combination_random()164        best_uncover = float("inf")165        best_solution = []166        best_row_index = 0167        for row_index in range(len(matrix)):168            solution = [x for x in matrix[row_index]]169            for index, item in enumerate(parameters):170                solution[item] = combination[index]...

test_cit.py

Source:test_cit.py

...97            self.cit.combination_matrix.uncover_solution_row(delete_row)98        combination_parameters, combination = self.cit.get_missing_combination_random()99        self.assertEqual(0, self.cit.combination_matrix.hash_table[combination_parameters].hash_table[combination],100                         "Combination is already covered")101    def test_cover_missing_combination(self):102        final_matrix = self.cit.final_matrix_init()103        while self.cit.combination_matrix.total_uncovered == 0:104            delete_row = final_matrix.pop(random.randint(0, len(final_matrix) - 1))105            self.cit.combination_matrix.uncover_solution_row(delete_row)106        expected_total_covered_more_than_ones = self.cit.combination_matrix.total_covered_more_than_ones107        expected_total_uncovered = self.cit.combination_matrix.total_uncovered108        expected_uncovered_rows = copy(self.cit.combination_matrix.uncovered_rows)109        row, row_index, parameters = self.cit.cover_missing_combination(final_matrix)110        self.assertEqual(expected_total_uncovered, self.cit.combination_matrix.total_uncovered, "Coverage was change")111        self.assertEqual(expected_total_covered_more_than_ones,112                         self.cit.combination_matrix.total_covered_more_than_ones,113                         "Coverage was change")114        self.assertEqual(expected_uncovered_rows, self.cit.combination_matrix.uncovered_rows, "Coverage was change")115        self.assertTrue(final_matrix[row_index][parameters[0]] != row[parameters[0]] or116                        final_matrix[row_index][parameters[1]] != row[parameters[1]], "Value did not change")117        row[parameters[0]] = final_matrix[row_index][parameters[0]]118        row[parameters[1]] = final_matrix[row_index][parameters[1]]...

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