input: from typing import List
  
  def parse_csv_and_generate_summary(filename: str) -> None:
      """
      Parses a CSV and generates a new CSV that adds the total number of rows, total number of columns, and total amount of data for each attribute.
      
      >>> parse_csv_and_generate_summary('test.csv')
      # Generates 'new_csv.csv' with the summary data
      """
      import csv
  
      with open(filename) as csv_file:
          reader = csv.DictReader(csv_file)
          rows = 0
          cols = 0
          data_totals = {}
  
          for row in reader:
              rows += 1
              if cols == 0:
                  cols = len(row)
              for col in row:
                  if col not in data_totals:
                      data_totals[col] = float(row[col])
                  else:
                      data_totals[col] += float(row[col])
  
          with open('new_csv.csv', mode='w') as new_csv_file:
              writer = csv.writer(new_csv_file, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
              writer.writerow(['Rows', 'Columns'])
              writer.writerow([rows, cols])
              writer.writerow(['Attribute', 'Total'])
              for key, value in data_totals.items():
                  writer.writerow([key, value])
output:     import csv
  
      with open(filename) as csv_file:
          reader = csv.DictReader(csv_file)
          rows = 0
          cols = 0
          data_totals = {}
  
          for row in reader:
              rows += 1
              if cols == 0:
                  cols = len(row)
              for col in row:
                  if col not in data_totals:
                      data_totals[col] = float(row[col])
                  else:
                      data_totals[col] += float(row[col])
  
          with open('new_csv.csv', mode='w') as new_csv_file:
              writer = csv.writer(new_csv_file, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
              writer.writerow(['Rows', 'Columns'])
              writer.writerow([rows, cols])
              writer.writerow(['Attribute', 'Total'])
              for key, value in data_totals.items():
                  writer.writerow([key, value])