class ColumnFileFactory: # Create factory class

    def melt(self, headers, rows, seperators=["    ", "\n"], blank=False): # Create function to create a file by melting data
        if type(blank) == str: # If blank is a string
            for row in rows: # Loop through rows
                data_index = 0 # Create index counter of data
                for data in row: # Loop through data in row
                    if type(data) == int: # If type of data is int
                        if data == 0: # If data is 0
                            row[data_index] = blank if type(blank) == str else "" # Replace it with blank

                    data_index += 1 # Count up data index counter

        if len(rows) < 1: # If there isnt any rows
            return "Failed to create formatted file." # Return error

        column = list(map(lambda row : 0, rows[0])) # Create some empty columns
        rows = [headers, []] + rows # Add headers to rows

        pr_rows = [] # Create a list for print rows
        for row in rows: # Loop through all the rows
            pr_row = [] # Create an empty list for the new print row
            data_index = 0 # Current iteration count
            for data in row: # Loop through data in row
                data = str(data) # Cast data to string
                if len(column) > data_index: # Check if there is access for a column
                    if len(data) > column[data_index]: # If length of data is more than the column padding length
                        column[data_index] = len(data) # Set the column padding length to the data length

                    pr_row.append(data) # Put the new data into a print row

                data_index += 1 # Count up for iteration

            pr_rows.append(pr_row) # Add the print row to the print rows

        new_data = [] # Create an empty array for the new data
        for row in pr_rows: # For every row in print rows
            data_index = 0 # Set data interation counter to 0
            data_row = [] # Create an empty array for new row
            for data in row:
                data = str(data) # Cast data to string
                data_row.append(data.ljust(column[data_index])) # Rewrite the row but using spacing
                data_index += 1 # Count up for iteration

            new_data.append(str(seperators[0]).join(data_row)) # Add the row as print format with padding as given seperators

        return str(seperators[1]).join(new_data) # Return the mixture