请帮助我,我在尝试获取特定电子邮件时遇到MemoryError。这是错误消息:
python(23838,0x1888c00) malloc: *** vm_allocate(size=3309568) failed (error code=3)
python(23838,0x1888c00) malloc: *** error: can't allocate region
python(23838,0x1888c00) malloc: *** set a breakpoint in szone_error to debug
Exception in thread Thread-1:Traceback (most recent call last):
File "/System/Library/Frameworks/Python.framework/Versions/2.3/lib/python2.3/threading.py", line 442, in __bootstrap
self.run()
File "/Volumes/SvnDevDisk/branches/HaversackProject_Version_0.2/plugins/GaMailClientPlugin/python/imap/imap_reader.py", line 25, in run
self.readMailbox(eachMailbox)
File "/Volumes/SvnDevDisk/branches/HaversackProject_Version_0.2/plugins/GaMailClientPlugin/python/imap/imap_reader.py", line 58, in readMailbox
resp, content = _mailConnection.fetch(num, '(RFC822 FLAGS)')
File "/System/Library/Frameworks/Python.framework/Versions/2.3/lib/python2.3/imaplib.py", line 417, in fetch
typ, dat = self._simple_command(name, message_set, message_parts)
File "/System/Library/Frameworks/Python.framework/Versions/2.3/lib/python2.3/imaplib.py", line 1004, in _simple_command
return self._command_complete(name, self._command(name, *args))
File "/System/Library/Frameworks/Python.framework/Versions/2.3/lib/python2.3/imaplib.py", line 830, in _command_complete
typ, data = self._get_tagged_response(tag)
File "/System/Library/Frameworks/Python.framework/Versions/2.3/lib/python2.3/imaplib.py", line 935, in _get_tagged_response
self._get_response()
File "/System/Library/Frameworks/Python.framework/Versions/2.3/lib/python2.3/imaplib.py", line 896, in _get_response
data = self.read(size)
File "/System/Library/Frameworks/Python.framework/Versions/2.3/lib/python2.3/imaplib.py", line 231, in read
return self.file.read(size)
File "/System/Library/Frameworks/Python.framework/Versions/2.3/lib/python2.3/socket.py", line 301, in read
data = self._sock.recv(recv_size)
MemoryError
这是我的代码:
resp, content = _mailConnection.fetch(num, '(RFC822 FLAGS)')
我正在使用python 2.3.5
提前致谢!
答案 0 :(得分:0)
MemoryError通常表示系统的可用内存不足。也许你的Python脚本会保留对它所看到的所有消息的引用,并且它们的总和太大而不适合内存?
答案 1 :(得分:0)
http://bugs.python.org/issue1092502
a_lauer建议修复似乎解决了我的问题。