How to use change_one_column method in avocado

Best Python code snippet using avocado_python Github


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...107 switch = random.randint(0, 9)108 if switch == 0:109 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( 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,[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]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 """198 Randomly choose one column of the matrix. In each cell of this column199 changes value. The row with the best coverage is the solution.200 :param matrix: matrix to be changed201 :return: solution, index of solution inside matrix and parameters which has been changed202 """203 column_index = random.randint(0, len( - 1)204 best_uncover = float("inf")205 best_solution = []206 best_row_index = 0207 for row_index in range(len(matrix)):208 try:209 solution, row_index, parameters = self.change_one_value(matrix, row_index, column_index)210 except ValueError:...

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...105 tprint("Converting name for compatibility")106 tprint("Would you like to rename " 107 + df.columns[i] + " to " + new + " ?")108 if cli.ask_yes(True): 109 change_one_column(new, df, i) 110 else:111 tprint("No new column name detected") 112 except Exception as e: #debugging113 tprint("Error renaming column")114 #print(e)115 cli.cls()116117def change_one_column(new, df, i):118 '''119 given column name string (new), dataframe (df) and index of column (i)120 makes df.columns[i] = new121 '''122 updated = list(df.columns)123 updated[i] = new124 df.columns = updated125126def fix_current_columns(df, list_only = False):127 '''128 given dataframe (df), accesses column names129 ensures column names are in format <column_name> then prints them130 returns list of properly formatted column names131 ''' ...

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