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
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.pylinux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
