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How to use change_one_column method in avocado

Best Python code snippet using avocado_python

Cit.py

Source:Cit.py

...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(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]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(self.data) - 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:...

columns.py

Source:columns.py

...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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