code: def read_links_file(self,file_path):
          '''
          Read links and associated categories for specified articles 
          in text file seperated by a space
  
          Args:
              file_path (str): The path to text file with news article links
                               and category
  
          Returns:
              articles: Array of tuples that contains article link & cateogory
                        ex. [('IPO','www.cs.columbia.edu')]
          '''
  
          articles = []
          with open(file_path) as f:
              for line in f:
                  line = line.strip()
                  #Ignore blank lines
                  if len(line) != 0:
                      link,category = line.split(' ')
                      articles.append((category.rstrip(),link.strip()))
  
          return articlef read_links_file(self,file_path):
          '''
          Read links and associated categories for specified articles 
          in text file seperated by a space
  
          Args:
              file_path (str): The path to text file with news article links
                               and category
  
          Returns:
              articles: Array of tuples that contains article link & cateogory
                        ex. [('IPO','www.cs.columbia.edu')]
          '''
  
          articles = []
          with open(file_path) as f:
              for line in f:
                  line = line.strip()
                  #Ignore blank lines
                  if len(line) != 0:
                      link,category = line.split(' ')
                      articles.append((category.rstrip(),link.strip()))
  
          return articles
docs: Read links and associated categories for specified articles 
          in text file seperated by a space
  
          Args:
              file_path (str): The path to text file with news article links
                               and category
  
          Returns:
              articles: Array of tuples that contains article link & cateogory
                        ex. [('IPO','www.cs.columbia.edu')]