original_docstring: 
      INPUT:
      descrips - should be a set of all descriptions in the dataset - each description should be a string.  You should not need to change the descrips variable at all if your function works correctly.
  
      This function will print a statement related to whether or not you provided the correct solution for the get_description function
      
docstring: should be a set of all descriptions in the dataset - each description should be a string.  You should not need to change the descrips variable at all if your function works correctly.
  
  This function will print a statement related to whether or not you provided the correct solution for the get_description function
docstring_tokens: should be a set of all descriptions in the dataset - each description should be a string . You should not need to change the descrips variable at all if your function works correctly . This function will print a statement related to whether or not you provided the correct solution for the get_description function
code: def check_description(descrips):
      '''
      INPUT:
      descrips - should be a set of all descriptions in the dataset - each description should be a string.  You should not need to change the descrips variable at all if your function works correctly.
  
      This function will print a statement related to whether or not you provided the correct solution for the get_description function
      '''
      val_type = type(next(iter(descrips)))
      if descrips == s.descrips:
          print("Nice job it looks like your function works correctly!")
      elif val_type != str:
          print("Oops - Looks like your column descriptions aren't strings.")
      else:
          print("Though you did provide the correct data type, your result does not match what we were expecting.  Try again.\n\n  Your function should return the description for any column name passed to it.")
code_tokens: def check_description ( descrips ) : val_type = type ( next ( iter ( descrips ) ) ) if descrips == s . descrips : print ( "Nice job it looks like your function works correctly!" ) elif val_type != str : print ( "Oops - Looks like your column descriptions aren't strings." ) else : print ( "Though you did provide the correct data type, your result does not match what we were expecting.  Try again.\n\n  Your function should return the description for any column name passed to it." )
short_docstring: INPUT:
  descrips - should be a set of all descriptions in the dataset - each description should be a string.
short_docstring_tokens: INPUT : descrips - should be a set of all descriptions in the dataset - each description should be a string .
comment: '''
      INPUT:
      descrips - should be a set of all descriptions in the dataset - each description should be a string.  You should not need to change the descrips variable at all if your function works correctly.
  
      This function will print a statement related to whether or not you provided the correct solution for the get_description function
      '''