text: # import os
  # # import pandas as pd
  
  # # file = '/Users/drewskikatana/Regex/TEST/TEST_RESULTS/find_all.csv'
  # # file2 = '/Users/drewskikatana/Regex/TEST/scrape.py'
  # # file3 = '/Users/drewskikatana/Regex/README.md'
  # # data = '/Users/drewskikatana/Regex/TEST/TEST_RESULTS/file.txt'
  
  # # file_sizes = []
  
  # # size = os.path.getsize(data)
  
  
  # # file_sizes.append(size)
  
  # # df = pd.DataFrame(file_sizes)
  
  # # print(df)
  
  # # x = '''
  # #     In this program, we will try to convert a given string
  # #     to a list, where spaces or any other special characters,
  # #     according to the users choice, are encountered. To do 
  # #     this we use the split() method.
  # #     '''
  
  # # x = x.split()
  
  # # print(x)
  
  # FILENAME = '______a'
  # FILETYPE = 'docx'
  
  
  # with open(f'/Users/drewskikatana/hypergraze/TEST/TEST_RESULTS/{FILENAME}.{FILETYPE}', 'w') as text_file:
  #     text_file.write(FILENAME)
  # from bs4 import BeautifulSoup
  # from numpy import byte
  # import requests
  # import psycopg2
  # import pandas as pd
  # import datetime
  # import os
  
  # URL = 'https://en.wikipedia.org/wiki/National_Football_League'
  
  # res = requests.get(URL)
  # src = res.content
  # html = BeautifulSoup(src, 'lxml')
  # results = html.find( 'table', 'wikitable')
  # print(results)
  
  # with open(f'/Users/drewskikatana/hypergraze/TEST/TEST_RESULTS/nfl___________html.html', 'w') as text_file:
  #     text_file.write(str(results))
  
  
  
  # ! get_html('https://stackoverflow.com/questions/4383571/importing-files-from-different-folder','div', 'mt24', 'configworks', 'csv','yes')
  
  
  