port=22,username='root',password='123456',timeout=300,allow_agent=False,look_for_keys=False)stdin,stdout,stderr=client.exec_command("bash /tmp/run.sh")result_info=""forlineinstdout.readlines():result_info+=line
#This is a long comment #and it extends #to multiple lines 另一种方法是使用三重单引号 '''或者三重双引号 """。 三重引号通常用于多行字符串。但它们也可以用作多行注释。除非它们是文档字符串(docstring),否则它们不会生成任何额外的效果。 """This is also a perfect example of multi-line comme...
Reformat the current blank-line-delimited paragraph in comment block or multilinestring or selected line in a string. All lines in the paragraph will be formatted to lessthan N columns, where N defaults to 72. 重新格式化注释块或多行字符串或字符串中选定行中当前以空行分隔的段落。段落中的所有行...
Reformat the current blank-line-delimited paragraph in comment block or multilinestring or selected line in a string. All lines in the paragraph will be formatted to lessthan N columns, where N defaults to 72. 重新格式化注释块或多行字符串或字符串中选定行中当前以空行分隔的段落。段落中的所有行...
(8) Replace：替护单词或模式。(9) Go to line：将光标定位到指定行首。(10) Expand Word：单词自动完成 对于 Format菜单，常用的选项及解释如下所示：(1) Indent region：使所选内容右移一级、即增加缩进量。(2) Dedent region：使所选内容组左移一级，即减少缩进量。(3) Comment Out Region：将所选...
# feel free to change it or comment out the line random.seed(1) # GA parameters PARAM_NAMES = ["fast_period", "slow_period", "signal_period"] NGEN = 20 NPOP = 100 CXPB = 0.5 MUTPB = 0.3 data = bt.feeds.PandasData(dataname=read_alpha_vantage(ticker=TICKER), name=TICKER) ...
We can comment out multiple lines of code by selecting them and then pressingCtrl+/(on Windows/Linux) orCmd+/(on macOS) in many popular code editors and IDEs. This action inserts#symbols at the beginning of each selected line, effectively commenting them out. Repeating the same shortcut un...
绝对不要用tab, 也不要tab和空格混用. 对于行连接的情况, 你应该要么垂直对齐换行的元素(见 :ref:`行长度 <line_length>` 部分的示例), 或者使用4空格的悬挂式缩进(这时第一行不应该有参数): Yes:# 与起始变量对齐foo=long_function_name(var_one,var_two,var_three,var_four)# 字典中与起始值对齐foo...
AttributeError') # python does not have a default implementation for `__getattr__` # the following line is not useful # return super().__getattr__(__name) c = C() # c.forward = lambda : print('2. lambda in __dict__') # this is almost the same as the following line c._...
# you can use the training data or the test data here, but test data would allow you to use Explanation Explorationglobal_explanation = explainer.explain_global(x_test)# if you used the PFIExplainer in the previous step, use the next line of code instead# global_explanation = explainer...