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How to use get_missing_combination_random method in avocado

Best Python code snippet using avocado_python

Cit.py

Source:Cit.py

...159        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]171            if self.combination_matrix.is_valid_combination(solution, parameters):172                self.combination_matrix.uncover_combination(matrix[row_index], parameters)173                self.combination_matrix.cover_combination(solution, parameters)174                if self.combination_matrix.total_uncovered < best_uncover:175                    best_uncover = self.combination_matrix.total_uncovered176                    best_solution = solution177                    best_row_index = row_index178                self.combination_matrix.uncover_combination(solution, parameters)179                self.combination_matrix.cover_combination(matrix[row_index], parameters)180                if best_uncover == 0:181                    break182        return best_solution, best_row_index, parameters183    def get_missing_combination_random(self):184        """185        Randomly finds one missing combination.186        :return: parameter of combination and values of combination187        """188        possible_parameters = list(self.combination_matrix.uncovered_rows)189        combination_parameters_index = random.randint(0, len(possible_parameters) - 1)190        combination_parameters = possible_parameters[combination_parameters_index]191        combination_row = self.combination_matrix.get_row(combination_parameters)192        possible_combinations = list(combination_row.get_all_uncovered_combinations())193        combination_index = random.randint(0, len(possible_combinations) - 1)194        combination = possible_combinations[combination_index]195        return combination_parameters, combination196    def change_one_column(self, matrix):197        """...

test_cit.py

Source:test_cit.py

...89        self.assertEqual(expected_uncovered_rows, self.cit.combination_matrix.uncovered_rows, "Coverage was change")90        self.assertNotEqual(final_matrix[row_index][column_index[0]], row[column_index[0]], "Value did not change")91        row[column_index[0]] = final_matrix[row_index][column_index[0]]92        self.assertEqual(final_matrix[row_index], row, "Different value was changed")93    def test_get_missing_combination_random(self):94        final_matrix = self.cit.final_matrix_init()95        while self.cit.combination_matrix.total_uncovered == 0:96            delete_row = final_matrix.pop(random.randint(0, len(final_matrix) - 1))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,...

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