[파이썬] `sys.__stderr__`: 원본 표준 에러 스트림

In Python, the sys module provides access to various elements of the Python runtime environment. One of the attributes of the sys module is __stderr__, which represents the original standard error stream.

Introduction to Standard Error Stream

Before diving into sys.__stderr__, let’s first understand what a standard error stream is. In computer programming, there are three standard streams associated with a process:

Accessing the Original Standard Error Stream

In Python, sys.stderr is the default variable that represents the standard error stream. However, in some cases, you may want to access the original standard error stream directly. This is where sys.__stderr__ comes into play.

To access the original standard error stream, you can use sys.__stderr__ instead of sys.stderr. Here’s an example code snippet:

import sys

# Write to the original standard error stream
sys.__stderr__.write("An error occurred.\n")

# Flush the stream to ensure the message is immediately printed
sys.__stderr__.flush()

In the above example, we import the sys module and use sys.__stderr__ to write an error message. By calling the write() method, we can output our error message to the original standard error stream. Finally, we use flush() to ensure that the message is immediately printed.

It’s important to note that using sys.__stderr__ directly may have unexpected results, especially when working with frameworks or libraries that override or redirect the standard error stream. Therefore, it is generally recommended to use sys.stderr instead unless there is a specific need for accessing the original standard error stream.

Conclusion

In Python, the sys.__stderr__ attribute allows you to access the original standard error stream. While it can be useful in certain situations, it is important to consider the implications of using it directly, as it may not work as expected when working with external libraries or frameworks.

Understanding the concept of the standard error stream and knowing how to access it can help you effectively handle error messages and diagnostic information in your Python programs.