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1.LiveCode

从扩展商店安装完以后初次使用可能异常
要配置一下解释器的路径
设置（ctrl+,）-> 搜索 Livecode:Python Path
然后填解释器的路径

如果我们有循环或需要展示一些中间变量状态，就可以使用该插件，LiveCode主要拥有下面四个功能

实时评估:不需要运行Python脚本就可以查看各个变量的值

变量显示:每当声明或更改一个变量时，它的新值都会同时改变并显示

2在 VS Code 调试器中自动显示变量形状和维度信息

原文在这里

win下

C:\Users\<你的用户名>\.vscode\extensions\ms-python.debugpy-<版本号>-win32-x64\bundled\libs\debugpy\_vendored\pydevd\_pydevd_bundle\pydevd_xml.py

linux下

~/.vscode/extensions/ms-python.debugpy-*\bundled\libs\debugpy\_vendored\pydevd\pydevd_plugins\extensions\types/

修改 get_variable_details() 函数
打开 pydevd_xml.py 文件，找到get_variable_details()函数，完整修改之后如下

def get_variable_details(val, evaluate_full_value=True, to_string=None, context: Optional[str] = None): """ :param context: This is the context in which the variable is being requested. Valid values: "watch", "repl", "hover", "clipboard" """ try: # This should be faster than isinstance (but we have to protect against not having a '__class__' attribute). is_exception_on_eval = val.__class__ == ExceptionOnEvaluate except: is_exception_on_eval = False if is_exception_on_eval: v = val.result else: v = val _type, type_name, resolver = get_type(v) type_qualifier = getattr(_type, "__module__", "") if not evaluate_full_value: value = DEFAULT_VALUE else: try: # 添加形状信息 shape_info = "" try: # 处理 PyTorch Tensor if type_qualifier == "torch" and hasattr_checked(v, 'shape') and hasattr_checked(v, 'dtype'): shape = tuple(v.shape) dtype = str(v.dtype) shape_info = f"{{Tensor: {shape}}} " # 处理 NumPy ndarray elif type_qualifier == "numpy" and hasattr_checked(v, 'shape') and hasattr_checked(v, 'dtype'): shape = tuple(v.shape) dtype = str(v.dtype) shape_info = f"{{ndarray: {shape}}} " # 处理 Pandas DataFrame elif type_qualifier == "pandas.core.frame" and hasattr_checked(v, 'shape'): shape = tuple(v.shape) shape_info = f"{{DataFrame: {shape}}} " # 处理 Pandas Series elif type_qualifier == "pandas.core.series" and hasattr_checked(v, 'shape'): shape = tuple(v.shape) dtype = str(v.dtype) shape_info = f"{{Series: {shape}}} " # 处理其他有 shape 属性的对象 elif hasattr_checked(v, 'shape'): shape_info = f"{{{v.shape}}} " # 处理可计数对象 elif hasattr_checked(v, '__len__'): try: length = len(v) # 对于字符串类型，只显示 {str} 而不显示长度 if type_name == "str": shape_info = f"{{{type_name}}} " else: shape_info = f"{{{type_name}: {length}}} " except: pass except: pass str_from_provider = _str_from_providers(v, _type, type_name, context) if str_from_provider is not None: value = shape_info + str_from_provider elif to_string is not None: value = shape_info + to_string(v) elif hasattr_checked(v, "__class__"): if v.__class__ == frame_type: value = pydevd_resolver.frameResolver.get_frame_name(v) elif v.__class__ in (list, tuple): if len(v) > 300: value = "%s: %s" % (str(v.__class__), "<Too big to print. Len: %s>" % (len(v),)) else: value = "%s: %s" % (str(v.__class__), v) else: try: cName = str(v.__class__) if cName.find(".") != -1: cName = cName.split(".")[-1] elif cName.find("'") != -1: # does not have '.' (could be something like <type 'int'>) cName = cName[cName.index("'") + 1 :] if cName.endswith("'>"): cName = cName[:-2] except: cName = str(v.__class__) value = "%s: %s" % (cName, v) else: value = shape_info + str(v) except: try: value = repr(v) except: value = "Unable to get repr for %s" % v.__class__ # fix to work with unicode values try: if value.__class__ == bytes: value = value.decode("utf-8", "replace") except TypeError: pass return type_name, type_qualifier, is_exception_on_eval, resolver, value

再重启即可

3 Better Comments

写注释的好帮手
它能根据关键词用不同的颜色高亮代码片段。支持以下类型的高亮：

感叹号 “!” 代码警告。
问号“?”代表存留疑问。
TODO 代码未来将要进行的操作。
@param 参数

此外，它还支持在设置中自定义需要高亮句子的首部关键词。

4 autoDocstring

写注释的好帮手
能够自动生成函数的注释格式，通过tab键快速切换填充块编写相应的注释。

Python Indent

python 自动缩进