[issue13120] Default nosigint optionto pdb.Pdb() prevents use in non-main thread
New submission from Ben Bass :
The new SIGINT behaviour of pdb.Pdb prevents use of pdb within a non-main
thread without explicitly setting nosigint=True. Specifically the 'continue'
command causes a traceback as follows:
{{{
...
File
"/Library/Frameworks/Python.framework/Versions/3.2/lib/python3.2/pdb.py", line
959, in do_continue
signal.signal(signal.SIGINT, self.sigint_handler)
ValueError: signal only works in main thread
}}}
Since the new behaviour seems to be to gain an enhancement rather than anything
fundamentally necessary to pdb, wouldn't it be better if the default was
reversed, so the same code would work identically on Python 3.1 (and
potentially earlier, i.e. Python2) and Python 3.2?
At the moment in my codebase (rpcpdb) I'm using inspect.getargspec sniffing for
nosigint on pdb.Pdb.__init__ to determine whether to include a nosigint=True
parameter, which clearly isn't ideal!
--
components: Library (Lib)
messages: 145040
nosy: bpb
priority: normal
severity: normal
status: open
title: Default nosigint optionto pdb.Pdb() prevents use in non-main thread
type: behavior
versions: Python 3.2
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[issue13120] Default nosigint option to pdb.Pdb() prevents use in non-main thread
Changes by Ben Bass : -- title: Default nosigint optionto pdb.Pdb() prevents use in non-main thread -> Default nosigint option to pdb.Pdb() prevents use in non-main thread ___ Python tracker <http://bugs.python.org/issue13120> ___ ___ Python-bugs-list mailing list Unsubscribe: http://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
[issue5131] pprint doesn't know how to print a defaultdict
Ben Bass added the comment: Same applies to collections.deque, which seems closely related (being another collections class). Can this get addressed here or should I open another issue? (just been pprinting defaultdict(deque) objects, which clearly fails :) -- nosy: +bpb ___ Python tracker <http://bugs.python.org/issue5131> ___ ___ Python-bugs-list mailing list Unsubscribe: http://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
[issue1692335] Fix exception pickling: Move initial args assignment to BaseException.__new__
Ben Bass added the comment:
Perhaps this should be addressed separately, but subprocess.CalledProcessError
is subject to this problem (can't be unpickled) (it has separate returncode and
cmd attributes, but no args).
It's straightforward to conform user-defined Exceptions to including .args and
having reasonable __init__ functions, but not possible in the case of stdlib
exceptions.
>>> import subprocess, pickle
>>> try:
... subprocess.check_call('/bin/false')
... except Exception as e:
... pickle.loads(pickle.dumps(e))
...
Traceback (most recent call last):
File "", line 2, in
File "/usr/lib/python3.1/subprocess.py", line 435, in check_call
raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command '/bin/false' returned non-zero exit
status 1
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "", line 4, in
File "/usr/lib/python3.1/pickle.py", line 1363, in loads
encoding=encoding, errors=errors).load()
TypeError: __init__() takes at least 3 positional arguments (1 given)
--
nosy: +bpb
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[issue1767511] SocketServer.DatagramRequestHandler
Ben Bass added the comment: I've just bumped into this issue. In my opinion the finish() method should only do anything if wfile is not empty, i.e: temp = self.wfile.getvalue() if temp: self.socket.sendto(temp, self.client_address) -- nosy: +bpb _ Tracker <[EMAIL PROTECTED]> <http://bugs.python.org/issue1767511> _ ___ Python-bugs-list mailing list Unsubscribe: http://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
[issue1767511] SocketServer.DatagramRequestHandler
Ben Bass added the comment: Main issue here (as I see it) is that StreamRequestHandler and DatagramRequestHandler should behave in the same way. This is not the case in Python 2.5.1 for the case where the handle method does not respond to the request socket (e.g. in my case it is forwarding data to a different socket). While handler methods in StreamRequestHandler need not send any data back to the request socket, in DatagramRequestHandlers an attempt will be made to send data whether any is available or not. This causes a socket hang (for several minutes) on Windows with a '10040 Message too long' error. By only sending data back to the request if the handler has written to wfile, this is avoided, giving the twin fixes of avoiding a nasty socket error and providing compatibilty with StreamRequestHandler behaviour. Test has been updated to add tests of handlers which do not respond to the request; this causes a hang in Python2.5.1 stock (not sure how to avoid this and cleanly fail), test passes with changed SocketServer. p.s. this is my first patch submission to anything, so go easy :-) Added file: http://bugs.python.org/file9271/DatagramServer.diff _ Tracker <[EMAIL PROTECTED]> <http://bugs.python.org/issue1767511> _ ___ Python-bugs-list mailing list Unsubscribe: http://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
[issue2029] "python -m pydoc -g" fails
New submission from Ben Bass: To quickly open a PyDoc browser, I want to be able to run the following: python -m pydoc -g This works fine on Python2.4, but fails on 2.5(.1), with following traceback (tested on both WinXP and Solaris 8, same result): Traceback (most recent call last): File "c:\python25\lib\runpy.py", line 95, in run_module filename, loader, alter_sys) File "c:\python25\lib\runpy.py", line 52, in _run_module_code mod_name, mod_fname, mod_loader) File "c:\python25\lib\runpy.py", line 32, in _run_code exec code in run_globals File "c:\python25\lib\pydoc.py", line 2255, in if __name__ == '__main__': cli() File "c:\python25\lib\pydoc.py", line 2191, in cli gui() File "c:\python25\lib\pydoc.py", line 2162, in gui gui = GUI(root) File "c:\python25\lib\pydoc.py", line 2052, in __init__ import threading ImportError: No module named threading When running pydoc.py -g directly (i.e. without the -m) it works fine, but this requires knowing the specific location of pydoc library file, so is less helpful. -- components: Library (Lib) messages: 62145 nosy: bpb severity: normal status: open title: "python -m pydoc -g" fails versions: Python 2.5 __ Tracker <[EMAIL PROTECTED]> <http://bugs.python.org/issue2029> __ ___ Python-bugs-list mailing list Unsubscribe: http://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
[issue7337] Add lossy queue to queue library module
New submission from Ben Bass : Many applications would benefit from 'connectionless' queues, i.e. they don't want to care whether anything is reading from the other end. Using current queue module classes this is not practical, because there is a choice between unbounded memory consumption or blocking. I propose adding a 'LossyQueue' class in the queue module which would allow bounded memory consumption without blocking on put. (i.e. items are dropped in fifo manner beyond a certain limit). In my view this is at least as natural as the PriorityQueue and LifoQueue extensions in that module. Outline as follows: class LossyQueue(Queue): "Queue subclass which drops items on overflow" def _init(self, maxsize): if maxsize > 0: # build the deque with maxsize limit self.queue = deque(maxlen=maxsize) else: # same as normal Queue instance self.queue = collections.deque() # deque alone handles maxsize, # so we pretend we have none self.maxsize = 0 if there is interest in this I will offer a proper patch with docs and tests. -- components: Library (Lib) messages: 95374 nosy: bpb severity: normal status: open title: Add lossy queue to queue library module type: feature request versions: Python 2.7, Python 3.2 ___ Python tracker <http://bugs.python.org/issue7337> ___ ___ Python-bugs-list mailing list Unsubscribe: http://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
[issue7337] Add lossy queue to queue library module
Ben Bass added the comment: 'connectionless' is from how I see it as an analogy with UDP (vs TCP); why not just use a deque is primarily about having the same API - a client (getter) of the queue shouldn't know or care whether it is a 'lossy' queue or a normal queue. I guess most uses of a normal queue (excepting the 'task' functions) could just use a deque, but it wouldn't feel natural. Use cases: non-critical event/status reporting is my canonical example. Specific examples: - a program which executes a long running process in a thread. It wants to update a GUI progress bar or similar, which must occur in a different thread because of the GUI model. By using a LossyQueue, the server thread is simplified; it doesn't have to care whether anything is listening on the other end, allowing greater decoupling (e.g. no changes required if there isn't a GUI). LossyQueues become part of the interface which can be used or not as required. - emulating/providing wrapper around UDP sockets - many application protocols support a get/set/report type interface with the addition of asynchronous events (e.g. SNMP, Netconf, SCPI). In these type of applications a suitable abstraction might be a normal Queue(s) for the standard commands and a LossyQueue for the events (which some applications might not care about). The point is that to the user of this abstraction, these two interfaces look the same. The 'server' doesn't care if a client is listening or not (it won't block and it won't use unlimited memory) The 'client' (if it wants to use it) doesn't know that it isn't a normal queue (same API). -> decouples server and client tasks. -- ___ Python tracker <http://bugs.python.org/issue7337> ___ ___ Python-bugs-list mailing list Unsubscribe: http://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
