AttributeError: ResultSet object has no attribute ‘find_all’. You’re probably treating a list of elements like a single element. Did you call find_all() when you meant to call find()?

AttributeError: ResultSet object has no attribute 'find_all'. You're probably treating a list of elements like a single element. Did you call find_all() when you meant to call find()?
解决上边这条报错只需要记住一句话
 Tag一定不是数组，Tag一定不是数组，Tag一定不是数组
 
方法
作用
Tag.find()或Tag,fingd_all()
提取Tag中的Tag
Tag.text
提取Tag中的文字
Tag[‘姓名’]
输入参数：属性名，可以提取Tag中这个属性的值
                    raise AttributeError( AttributeError: ResultSet object has no attribute ‘find_all‘. You‘re probably
                    AttributeError: ResultSet object has no attribute ‘find_all’. You’re probably treating a list of elements like a single element. Did you call find_all() when you meant to call find()?AttributeError: ResultSet object has no attribute 'find_all'. You're pro
keras-gpu = 2.3.1
今天在以TensorFlow2.1.0为后端的Keras中使用TensorBoard时报错，发现原因是keras和tf.keras混用导致的。报错与解决方案如下：
导致报错语句：
summary = TensorBoard(log_dir="cnn_lstm_logs/",histogram_freq=1)
---> 54     summary = TensorBoard(log_dir="cnn_lstm_log
				
遇到问题如下：Traceback (most recent call last):
  File "keras_retinanet/bin/train.py", line 426, in <module>
    main()
  File "keras_retinanet/bin/train.py", line 362, in main
    train_generator, va...
				
AttributeError: ResultSet object has no attribute ‘find_all’. You’re probably treating a list of elements like a single element. Did you call find_all() when you meant to call find()?
意思是：属性错误:ResultSet对象没有属性’find_all’。您可能将一个元素列表当作一个元素来处理。当您打算调用find()时，是否调
doc = app.Document.Open(r'D:\python\jieba\Win32com\1.docx')
s = app.Selection
s.text = '123'
  soup = get_link_decode(URL)
  for link in range(10):
      link = soup.find_all("a",text="{}".format(link))
      list_links_docs.append(link)
  for link in list_links_docs:
      lis = link.get("href")
      print(lis)
执行这个程序出现
				raise AttributeError( AttributeError: ResultSet object has no attribute ‘find_all‘. You‘re probably