How to use get_missing_combination_random method in avocado

Best Python code snippet using avocado_python

Cit.py

Source:Cit.py Github

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...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 """...

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test_cit.py

Source:test_cit.py Github

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...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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