Python 开发模式的影响 ¶

Enabling the Python Development Mode is similar to the following command, but with additional effects described below:

PYTHONMALLOC=debug PYTHONASYNCIODEBUG=1 python3 -W default -X faulthandler
							

Python 开发模式的影响：

• 添加 default 警告过滤 . The following warnings are shown:

  • DeprecationWarning

  • ImportWarning

  • PendingDeprecationWarning

  • ResourceWarning

  Normally, the above warnings are filtered by the default 警告过滤 .

  It behaves as if the -W default command line option is used.

  使用 -W error command line option or set the PYTHONWARNINGS 环境变量到 error to treat warnings as errors.

• Install debug hooks on memory allocators to check for:

  • Buffer underflow

  • 缓冲溢出

  • Memory allocator API violation

  • Unsafe usage of the GIL

  见 PyMem_SetupDebugHooks() C 函数。

  It behaves as if the PYTHONMALLOC environment variable is set to debug .

  To enable the Python Development Mode without installing debug hooks on memory allocators, set the PYTHONMALLOC 环境变量到 default .

• 调用 faulthandler.enable() at Python startup to install handlers for the SIGSEGV , SIGFPE , SIGABRT , SIGBUS and SIGILL signals to dump the Python traceback on a crash.

  It behaves as if the -X faulthandler command line option is used or if the PYTHONFAULTHANDLER environment variable is set to 1 .

• 启用 asyncio debug mode 。例如， asyncio checks for coroutines that were not awaited and logs them.

  It behaves as if the PYTHONASYNCIODEBUG environment variable is set to 1 .

• Check the encoding and errors arguments for string encoding and decoding operations. Examples: open() , str.encode() and bytes.decode() .

  By default, for best performance, the errors argument is only checked at the first encoding/decoding error and the encoding argument is sometimes ignored for empty strings.

• io.IOBase destructor logs close() 异常。

• 设置 dev_mode attribute of sys.flags to True .

The Python Development Mode does not enable the tracemalloc module by default, because the overhead cost (to performance and memory) would be too large. Enabling the tracemalloc module provides additional information on the origin of some errors. For example, ResourceWarning logs the traceback where the resource was allocated, and a buffer overflow error logs the traceback where the memory block was allocated.

The Python Development Mode does not prevent the -O command line option from removing assert statements nor from setting __debug__ to False .

ResourceWarning 范例 ¶

Example of a script counting the number of lines of the text file specified in the command line:

import sys
def main():
    fp = open(sys.argv[1])
    nlines = len(fp.readlines())
    print(nlines)
    # The file is closed implicitly
if __name__ == "__main__":
    main()
							

The script does not close the file explicitly. By default, Python does not emit any warning. Example using README.txt, which has 269 lines:

$ python3 script.py README.txt
269
							

Enabling the Python Development Mode displays a ResourceWarning 警告：

$ python3 -X dev script.py README.txt
269
script.py:10: ResourceWarning: unclosed file <_io.TextIOWrapper name='README.rst' mode='r' encoding='UTF-8'>
  main()
ResourceWarning: Enable tracemalloc to get the object allocation traceback
							

In addition, enabling tracemalloc shows the line where the file was opened:

$ python3 -X dev -X tracemalloc=5 script.py README.rst
269
script.py:10: ResourceWarning: unclosed file <_io.TextIOWrapper name='README.rst' mode='r' encoding='UTF-8'>
  main()
Object allocated at (most recent call last):
  File "script.py", lineno 10
    main()
  File "script.py", lineno 4
    fp = open(sys.argv[1])
							

The fix is to close explicitly the file. Example using a context manager:

def main():
    # Close the file explicitly when exiting the with block
    with open(sys.argv[1]) as fp:
        nlines = len(fp.readlines())
    print(nlines)
							

Not closing a resource explicitly can leave a resource open for way longer than expected; it can cause severe issues upon exiting Python. It is bad in CPython, but it is even worse in PyPy. Closing resources explicitly makes an application more deterministic and more reliable.

坏的文件描述符错误范例 ¶

Script displaying the first line of itself:

import os
def main():
    fp = open(__file__)
    firstline = fp.readline()
    print(firstline.rstrip())
    os.close(fp.fileno())
    # The file is closed implicitly
main()
							

By default, Python does not emit any warning:

$ python3 script.py
import os
							

The Python Development Mode shows a ResourceWarning and logs a “Bad file descriptor” error when finalizing the file object:

$ python3 script.py
import os
script.py:10: ResourceWarning: unclosed file <_io.TextIOWrapper name='script.py' mode='r' encoding='UTF-8'>
  main()
ResourceWarning: Enable tracemalloc to get the object allocation traceback
Exception ignored in: <_io.TextIOWrapper name='script.py' mode='r' encoding='UTF-8'>
Traceback (most recent call last):
  File "script.py", line 10, in <module>
    main()
OSError: [Errno 9] Bad file descriptor
							

os.close(fp.fileno()) closes the file descriptor. When the file object finalizer tries to close the file descriptor again, it fails with the Bad file descriptor error. A file descriptor must be closed only once. In the worst case scenario, closing it twice can lead to a crash (see bpo-18748 for an example).

The fix is to remove the os.close(fp.fileno()) line, or open the file with closefd=False .