# 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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