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• cannot override sys.excepthook

  - by Mert Nuhoglu

  I try to customize behavior of sys.excepthook as described by the recipe. in ipython: :import pdb, sys, traceback :def info(type, value, tb): : traceback.print_exception(type, value, tb) : pdb.pm() :sys.excepthook = info :-- >>> x[10] = 5 ------------------------------------------------- Traceback (most recent call last): File "<ipython console>", line 1, in <module> NameError: name 'x' is not defined >>> pdb.pm() is not being called. It seems that sys.excepthook = info doesn't work in my python 2.5 installation. What should I look into? Any suggestion? Thank you

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• Implicitly invoking parent class initializer

  - by Matt Joiner

  class A(object): def __init__(self, a, b, c): #super(A, self).__init__() super(self.__class__, self).__init__() class B(A): def __init__(self, b, c): print super(B, self) print super(self.__class__, self) #super(B, self).__init__(1, b, c) super(self.__class__, self).__init__(1, b, c) class C(B): def __init__(self, c): #super(C, self).__init__(2, c) super(self.__class__, self).__init__(2, c) C(3) In the above code, the commented out __init__ calls appear to the be the commonly accepted "smart" way to do super class initialization. However in the event that the class hierarchy is likely to change, I have been using the uncommented form, until recently. It appears that in the call to the super constructor for B in the above hierarchy, that B.__init__ is called again, self.__class__ is actually C, not B as I had always assumed. Is there some way in Python-2.x that I can overcome this, and maintain proper MRO when calling super constructors without actually naming the current class?

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• sys.stdout not reassigning to sys.__stdout__

  - by Vince

  I'm pretty new to Python so I am still just learning the language. One of the things I came across was reassigning sys.stdout to change the default output of print. So I wrote this as a test: import sys sys.stdout = open('log.txt','a') print('hey') sys.stdout.close() sys.stdout = sys.__stdout__ print('hi') Now the string 'hi' is not written to the file but it does not show in the default output either. When I assign some other variable to sys.stdout in the beginning and change it back it works, but I'm just wondering why its not changing back the first time.

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• object won't die (still references to it that I can't find)

  - by user288558

  I'm using parallel-python and start a new job server in a function. after the functions ends it still exists even though I didn't return it out of the function (I used weakref to test this). I guess there's still some references to this object somewhere. My two theories: It starts threads and it logs to root logger. My questions: can I somehow findout in which namespace there is still a reference to this object. I have the weakref reference. Does anyone know how to detach a logger? What other debug suggestions do people have? here is my testcode: def pptester(): js=pp.Server(ppservers=nodes) js.set_ncpus(0) fh=file('tmp.tmp.tmp','w') tmp=[] for i in range(200): tmp.append(js.submit(ppworktest,(),(),('os','subprocess'))) js.print_stats() return weakref.ref(js) thanks in advance Wolfgang

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• Windows GUI application when user is not logged in?

  - by Tiax

  I've written a Autoit script that starts a GUI application, when the application starts there is a login form. The scripts fills the login form and tries to log in. Then it records the time it took to login to the application and shuts the application down afterwards, writes a output file with the time it took. The thing is, I can't get the application to start unless Im logged in as the user the Scheduled task is running on. So my question is: Is there any way to start a GUI application even though the user isn't logged in? Or is the only way to have a user always logged in?

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• fd.seek() IOError: [Errno 22] Invalid argument

  - by Julian Kessel

  My Python Interpreter (v2.6.5) raises the above error in the following codepart: fd = open("some_filename", "r") fd.seek(-2, os.SEEK_END) #same happens if you exchange the second arg. w/ 2 data=fd.read(2); last call is fd.seek() Traceback (most recent call last): File "bot.py", line 250, in <module> fd.seek(iterator, os.SEEK_END); IOError: [Errno 22] Invalid argument The strange thing with this is that the exception occurs just when executing my entire code, not if only the specific part with the file opening. At the runtime of this part of code, the opened file definitely exists, disk is not full, the variable "iterator" contains a correct value like in the first codeblock. What could be my mistake? Thanks in advance

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• Yield only as many are required from a generator

  - by Matt Joiner

  I wish to yield from a generator only as many items are required. In the following code a, b, c = itertools.count() I receive this exception: ValueError: too many values to unpack I've seen several related questions, however I have zero interest in the remaining items from the generator, I only wish to receive as many as I ask for, without providing that quantity in advance. It seems to me that Python determines the number of items you want, but then proceeds to try to read and store more than that number. How can I yield only as many items as I require, without passing in how many items I want?

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• Cross Theaded Calls - Many controls Heavy GUI Application after .net 1.1 2.0 upgrade- best way ??

  - by keepsmilinyaar

  I have recently upgraded a .net1.1 solution to .net2.0. AS this is a very heavy GUI appilcation with loads of controls and many multithreaded operations that update the GUI. While these operations worked seamlessly in .net1.1 it is throwing up Cross Threaded Illegal operations after the upgrade. Considering the fact that tehre are numerous grids, buttons and status labels that need to be updated via these multi threaded operations, I decided to code for checking the InvokeRequired solution, however doing that for every control would probably not be the best way to go about it. I was wondering if you could suggest a better way of how I can go about it or propose any OOPS based class structure that I could code around to make the code look better. Please do let me know if my question is unclear. Thanks in advance

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• Can I make pdb start debugging right away?

  - by hasen j

  I want to debug a python project The problem is, I don't know where to set a break point, what I want to do, is be able to call a method SomeClass( some_ctor_arguments ).some_method()` and have the debugger be fired right away How do I do that? I tried pdb.run( string_command ) but it doesn't seem to work right >>> import pdb >>> import <some-package> >>> pdb.run( .... ) > <string>(1)<module>() (Pdb) s NameError: "name '<some-package>' is not defined"

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• Porting a GUI from a pc to a wince device - issue is with the size of the screen

  - by ame

  I have to port a GUI that is currently running on a pc, to a wince device. I have already compiled the code on a win CE platform, the problem is now with the size of the screen of the device which is smaller than some of the dialog boxes of the GUI. I could resize some them in resource view of visual studio 2005. I am unable to proceed further as a lot of screens have bitmaps mapped to them and i cannot just resize the dialog boxes without changing the corresponding bitmaps. What is the best way to proceed- my last resort would be to disable the bitmaps and redraw them at a later stage. is there some method of automatically mapping the size of the screen to all the dialog boxes so that they would automatically resize (alongwith the assocaiated buttons etc)

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• Does anybody know of a GUI DSL for Scala?

  - by kula

  hi all does anybody knows a scala dsl on gui programming. regards. kula

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• Automatically decorating every instance method in a class

  - by max

  I want to apply the same decorator to every method in a given class, other than those that start and end with __. It seems to me it should be doable using a class decorator. Are there any pitfalls to be aware of? Ideally, I'd also like to be able to: disable this mechanism for some methods by marking them with a special decorator enable this mechanism for subclasses as well enable this mechanism even for methods that are added to this class in runtime [Note: I'm using Python 3.2, so I'm fine if this relies on features added recently.] Here's my attempt: _methods_to_skip = {} def apply(decorator): def apply_decorator(cls): for method_name, method in get_all_instance_methods(cls): if (cls, method) in _methods_to_skip: continue if method_name[:2] == `__` and method_name[-2:] == `__`: continue cls.method_name = decorator(method) return apply_decorator def dont_decorate(method): _methods_to_skip.add((get_class_from_method(method), method)) return method Here are things I have problems with: how to implement get_all_instance_methods function not sure if my cls.method_name = decorator(method) line is correct how to do the same to any methods added to a class in runtime how to apply this to subclasses how to implement get_class_from_method

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• Why does decorating a class break the descriptor protocol, thus preventing staticmethod objects from behaving as expected?

  - by Robru

  I need a little bit of help understanding the subtleties of the descriptor protocol in Python, as it relates specifically to the behavior of staticmethod objects. I'll start with a trivial example, and then iteratively expand it, examining it's behavior at each step: class Stub: @staticmethod def do_things(): """Call this like Stub.do_things(), with no arguments or instance.""" print "Doing things!" At this point, this behaves as expected, but what's going on here is a bit subtle: When you call Stub.do_things(), you are not invoking do_things directly. Instead, Stub.do_things refers to a staticmethod instance, which has wrapped the function we want up inside it's own descriptor protocol such that you are actually invoking staticmethod.__get__, which first returns the function that we want, and then gets called afterwards. >>> Stub <class __main__.Stub at 0x...> >>> Stub.do_things <function do_things at 0x...> >>> Stub.__dict__['do_things'] <staticmethod object at 0x...> >>> Stub.do_things() Doing things! So far so good. Next, I need to wrap the class in a decorator that will be used to customize class instantiation -- the decorator will determine whether to allow new instantiations or provide cached instances: def deco(cls): def factory(*args, **kwargs): # pretend there is some logic here determining # whether to make a new instance or not return cls(*args, **kwargs) return factory @deco class Stub: @staticmethod def do_things(): """Call this like Stub.do_things(), with no arguments or instance.""" print "Doing things!" Now, naturally this part as-is would be expected to break staticmethods, because the class is now hidden behind it's decorator, ie, Stub not a class at all, but an instance of factory that is able to produce instances of Stub when you call it. Indeed: >>> Stub <function factory at 0x...> >>> Stub.do_things Traceback (most recent call last): File "<stdin>", line 1, in <module> AttributeError: 'function' object has no attribute 'do_things' >>> Stub() <__main__.Stub instance at 0x...> >>> Stub().do_things <function do_things at 0x...> >>> Stub().do_things() Doing things! So far I understand what's happening here. My goal is to restore the ability for staticmethods to function as you would expect them to, even though the class is wrapped. As luck would have it, the Python stdlib includes something called functools, which provides some tools just for this purpose, ie, making functions behave more like other functions that they wrap. So I change my decorator to look like this: def deco(cls): @functools.wraps(cls) def factory(*args, **kwargs): # pretend there is some logic here determining # whether to make a new instance or not return cls(*args, **kwargs) return factory Now, things start to get interesting: >>> Stub <function Stub at 0x...> >>> Stub.do_things <staticmethod object at 0x...> >>> Stub.do_things() Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: 'staticmethod' object is not callable >>> Stub() <__main__.Stub instance at 0x...> >>> Stub().do_things <function do_things at 0x...> >>> Stub().do_things() Doing things! Wait.... what? functools copies the staticmethod over to the wrapping function, but it's not callable? Why not? What did I miss here? I was playing around with this for a bit and I actually came up with my own reimplementation of staticmethod that allows it to function in this situation, but I don't really understand why it was necessary or if this is even the best solution to this problem. Here's the complete example: class staticmethod(object): """Make @staticmethods play nice with decorated classes.""" def __init__(self, func): self.func = func def __call__(self, *args, **kwargs): """Provide the expected behavior inside decorated classes.""" return self.func(*args, **kwargs) def __get__(self, obj, objtype=None): """Re-implement the standard behavior for undecorated classes.""" return self.func def deco(cls): @functools.wraps(cls) def factory(*args, **kwargs): # pretend there is some logic here determining # whether to make a new instance or not return cls(*args, **kwargs) return factory @deco class Stub: @staticmethod def do_things(): """Call this like Stub.do_things(), with no arguments or instance.""" print "Doing things!" Indeed it works exactly as expected: >>> Stub <function Stub at 0x...> >>> Stub.do_things <__main__.staticmethod object at 0x...> >>> Stub.do_things() Doing things! >>> Stub() <__main__.Stub instance at 0x...> >>> Stub().do_things <function do_things at 0x...> >>> Stub().do_things() Doing things! What approach would you take to make a staticmethod behave as expected inside a decorated class? Is this the best way? Why doesn't the builtin staticmethod implement __call__ on it's own in order for this to just work without any fuss? Thanks.

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• How should nested components interact with model in a GUI application?

  - by fig-gnuton

  Broad design/architecture question. If you have nested components in a GUI, what's the most common way for those components to interact with data? For example, let's say a component receives a click on one of its buttons to save data. Should the save request be delegated up that component's ancestors, with the uppermost ancestor ultimately passing the request to a controller? Or are models/datastores in a GUI application typically singletons, so that a component at any level of a hierarchy can directly get/set data? Or is a controller injected as a dependency down the hierarchy of components, so that any given component is only one intermediary away from the datastore/model?

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• In Cocoa (or maybe GUI development in general) how do you specify an arbitrary number of things tile

  - by RankWeis

  I'm new to creating GUI's, everything I've done up until this point is using the command line. I'm trying to create a port of minesweeper to the macintosh, as an experiment, and I've got the CLI working, but I'm running into walls everywhere with the gui. The first thing it seems I have to do, however, is be able to tile n x m 'boxes' for grid - and I'm not sure how to do that. The information is ready to be handed to it, but I don't know where to do it, or how. Also, if anyone has any recommendations for sites/Cocoa development books, feel free to drop them in here... Thanks!

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• String formatting [str.format()] with a dictionary having a key which is a str() of a number

  - by decimus phostle

  Python neophyte here. I was wondering if someone could help with the KeyError I am getting when using a dictionary for string interpolation in str.format. dictionary = {'key1': 'val1', '1': 'val2'} string1 = 'Interpolating {0[key1]}'.format(dictionary) print string1 The above works fine and yields: Interpolating val1 However doing the following: dictionary = {'key1': 'val1', '1': 'val2'} string2 = 'Interpolating {0[1]}'.format(dictionary) print string2 results in: Traceback (most recent call last): File "test.py", line 3, in <module> string2 = 'Interpolating {0[1]}'.format(dictionary) KeyError: 1L So the problem seems to be in the interpretation of the numeric key as a list index, IMHO. Is there any way to work around this? (i.e. convey that this is instead a dictionary key) TIA and apologies if this question has been asked before(couldn't find anything relevant with my search-fu).

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• [appengine] how to transfer a python object between two requests?

  - by python for ever

  i want to process a python dict object in batches between two requests. i was wondering what's the best way to do it. i want to do that because my dict is big and i couldn't do the whole processing in 30s. thanks

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• Print number in engineering format

  - by jmurrayufo

  I am trying to print a number into engineering format with python, but I cannot seem to get it to work. The syntax SEEMS simple enough, but it just doesn't work. >>> import decimal >>> x = decimal.Decimal(1000000) >>> print x 1000000 >>>> print x.to_eng_string() 1000000 I cannot figure out why this is. The two values are not equal (one is a string, the other is an int). Setting various contexts in decimal doesn't seem to help either. Any clues or ideas?

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• python Velocity control of the player, why doesn't this work?

  - by Dominic Grenier

  I have the following code inside a while True loop: if abs(playerx) < MAXSPEED: if moveLeft: playerx -= 1 if moveRight: playerx += 1 if abs(playery) < MAXSPEED: if moveDown: playery += 1 if moveUp: playery -= 1 if moveLeft == False and abs(playerx) > 0: playerx += 1 if moveRight == False and abs(playerx) > 0: playerx -= 1 if moveUp == False and abs(playery) > 0: playery += 1 if moveDown == False and abs(playery) > 0: playery -= 1 player.x += playerx player.y += playery if player.left < 0 or player.right > 1000: player.x -= playerx if player.top < 0 or player.bottom > 600: player.y -= playery The intended result is that while an arrow key is pressed, playerx or y increments by one at every loop until it reaches MAXSPEED and stays at MAXSPEED. And that when the player stops pressing that arrow key, his speed decreases. Until it reaches 0. To me, this code explicitly says that... But what actually happens is that playerx or y keeps incrementing regardless of MAXSPEED and continues moving even after the player stops pressing the arrow key. I keep rereading but I'm completely baffled by this weird behavior. Any insights? Thanks.

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• How to resolve "dpkg: error processing /var/cache/apt/archives/python-apport_2.0.1-0ubuntu9_all.deb"?

  - by raz7588

  Update Manager will not update although I have over 100 updates to do I get a error message like this: installArchives() failed: Extracting templates from packages: 29%% Extracting templates from packages: 58%% Extracting templates from packages: 88%% Extracting templates from packages: 100%% Preconfiguring packages ... Extracting templates from packages: 29%% Extracting templates from packages: 58%% Extracting templates from packages: 88%% Extracting templates from packages: 100%% Preconfiguring packages ... Extracting templates from packages: 29%% Extracting templates from packages: 58%% Extracting templates from packages: 88%% Extracting templates from packages: 100%% Preconfiguring packages ... Extracting templates from packages: 29%% Extracting templates from packages: 58%% Extracting templates from packages: 88%% Extracting templates from packages: 100%% Preconfiguring packages ... (Reading database ... (Reading database ... 5%% (Reading database ... 10%% (Reading database ... 15%% (Reading database ... 20%% (Reading database ... 25%% (Reading database ... 30%% (Reading database ... 35%% (Reading database ... 40%% (Reading database ... 45%% (Reading database ... 50%% (Reading database ... 55%% (Reading database ... 60%% (Reading database ... 65%% (Reading database ... 70%% (Reading database ... 75%% (Reading database ... 80%% (Reading database ... 85%% (Reading database ... 90%% (Reading database ... 95%% (Reading database ... 100%% (Reading database ... 189751 files and directories currently installed.) Preparing to replace python-problem-report 2.0.1-0ubuntu7 (using .../python-problem-report_2.0.1-0ubuntu9_all.deb) ... Traceback (most recent call last): File "/usr/bin/pyclean", line 33, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: warning: subprocess old pre-removal script returned error exit status 1 dpkg - trying script from the new package instead ... Traceback (most recent call last): File "/usr/bin/pyclean", line 33, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: error processing /var/cache/apt/archives/python-problem-report_2.0.1-0ubuntu9_all.deb (--unpack): subprocess new pre-removal script returned error exit status 1 No apport report written because MaxReports is reached already Traceback (most recent call last): File "/usr/bin/pycompile", line 39, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: error while cleaning up: subprocess installed post-installation script returned error exit status 1 Preparing to replace python-apport 2.0.1-0ubuntu7 (using .../python-apport_2.0.1-0ubuntu9_all.deb) ... Traceback (most recent call last): File "/usr/bin/pyclean", line 33, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: warning: subprocess old pre-removal script returned error exit status 1 dpkg - trying script from the new package instead ... Traceback (most recent call last): File "/usr/bin/pyclean", line 33, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: error processing /var/cache/apt/archives/python-apport_2.0.1-0ubuntu9_all.deb (--unpack): subprocess new pre-removal script returned error exit status 1 No apport report written because MaxReports is reached already Traceback (most recent call last): File "/usr/bin/pycompile", line 39, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: error while cleaning up: subprocess installed post-installation script returned error exit status 1 Preparing to replace apport 2.0.1-0ubuntu7 (using .../apport_2.0.1-0ubuntu9_all.deb) ... apport stop/waiting Traceback (most recent call last): File "/usr/bin/pyclean", line 33, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: warning: subprocess old pre-removal script returned error exit status 1 dpkg - trying script from the new package instead ... Traceback (most recent call last): File "/usr/bin/pyclean", line 33, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: error processing /var/cache/apt/archives/apport_2.0.1-0ubuntu9_all.deb (--unpack): subprocess new pre-removal script returned error exit status 1 No apport report written because MaxReports is reached already apport start/running Traceback (most recent call last): File "/usr/bin/pycompile", line 39, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: error while cleaning up: subprocess installed post-installation script returned error exit status 1 Preparing to replace gnome-orca 3.4.1-0ubuntu0.1 (using .../gnome-orca_3.4.2-0ubuntu0.1_all.deb) ... Traceback (most recent call last): File "/usr/bin/pyclean", line 33, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: warning: subprocess old pre-removal script returned error exit status 1 dpkg - trying script from the new package instead ... Traceback (most recent call last): File "/usr/bin/pyclean", line 33, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: error processing /var/cache/apt/archives/gnome-orca_3.4.2-0ubuntu0.1_all.deb (--unpack): subprocess new pre-removal script returned error exit status 1 No apport report written because MaxReports is reached already Traceback (most recent call last): File "/usr/bin/pycompile", line 39, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: error while cleaning up: subprocess installed post-installation script returned error exit status 1 Preparing to replace python-piston-mini-client 0.7.2-0ubuntu1 (using .../python-piston-mini-client_0.7.2+bzr57-0ubuntu1_all.deb) ... Traceback (most recent call last): File "/usr/bin/pyclean", line 33, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: warning: subprocess old pre-removal script returned error exit status 1 dpkg - trying script from the new package instead ... Traceback (most recent call last): File "/usr/bin/pyclean", line 33, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: error processing /var/cache/apt/archives/python-piston-mini-client_0.7.2+bzr57-0ubuntu1_all.deb (--unpack): subprocess new pre-removal script returned error exit status 1 No apport report written because MaxReports is reached already Traceback (most recent call last): File "/usr/bin/pycompile", line 39, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: error while cleaning up: subprocess installed post-installation script returned error exit status 1 Preparing to replace oneconf 0.2.8 (using .../oneconf_0.2.8.1_all.deb) ... Traceback (most recent call last): File "/usr/bin/pyclean", line 33, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: warning: subprocess old pre-removal script returned error exit status 1 dpkg - trying script from the new package instead ... Traceback (most recent call last): File "/usr/bin/pyclean", line 33, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: error processing /var/cache/apt/archives/oneconf_0.2.8.1_all.deb (--unpack): subprocess new pre-removal script returned error exit status 1 No apport report written because MaxReports is reached already Traceback (most recent call last): File "/usr/bin/pycompile", line 39, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: error while cleaning up: subprocess installed post-installation script returned error exit status 1 Preparing to replace software-center 5.2.2 (using .../software-center_5.2.2.2_all.deb) ... Traceback (most recent call last): File "/usr/bin/pyclean", line 33, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: warning: subprocess old pre-removal script returned error exit status 1 dpkg - trying script from the new package instead ... Traceback (most recent call last): File "/usr/bin/pyclean", line 33, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: error processing /var/cache/apt/archives/software-center_5.2.2.2_all.deb (--unpack): subprocess new pre-removal script returned error exit status 1 No apport report written because MaxReports is reached already Traceback (most recent call last): File "/usr/bin/pycompile", line 39, in <module> from debpython.namespace import add_namespace_files ValueError: bad marshal data (unknown type code) dpkg: error while cleaning up: subprocess installed post-installation script returned error exit status 1 Preparing to replace libglade2-0 1:2.6.4-1ubuntu1 (using .../libglade2-0_1%%3a2.6.4-1ubuntu1.1_amd64.deb) ... Unpacking replacement libglade2-0 ... Preparing to replace libv4l-0 0.8.6-1ubuntu1 (using .../libv4l-0_0.8.6-1ubuntu2_amd64.deb) ... De-configuring libv4l-0:i386 ... Unpacking replacement libv4l-0 ... Preparing to replace libv4l-0:i386 0.8.6-1ubuntu1 (using .../libv4l-0_0.8.6-1ubuntu2_i386.deb) ... Unpacking replacement libv4l-0:i386 ... Preparing to replace libv4lconvert0:i386 0.8.6-1ubuntu1 (using .../libv4lconvert0_0.8.6-1ubuntu2_i386.deb) ... De-configuring libv4lconvert0 ... Unpacking replacement libv4lconvert0:i386 ... Preparing to replace libv4lconvert0 0.8.6-1ubuntu1 (using .../libv4lconvert0_0.8.6-1ubuntu2_amd64.deb) ... Unpacking replacement libv4lconvert0 ... Errors were encountered while processing: /var/cache/apt/archives/python-problem-report_2.0.1-0ubuntu9_all.deb /var/cache/apt/archives/python-apport_2.0.1-0ubuntu9_all.deb /var/cache/apt/archives/apport_2.0.1-0ubuntu9_all.deb /var/cache/apt/archives/gnome-orca_3.4.2-0ubuntu0.1_all.deb /var/cache/apt/archives/python-piston-mini-client_0.7.2+bzr57-0ubuntu1_all.deb /var/cache/apt/archives/oneconf_0.2.8.1_all.deb /var/cache/apt/archives/software-center_5.2.2.2_all.deb Error in function: SystemError: E:Sub-process /usr/bin/dpkg returned an error code (1) Setting up libglade2-0 (1:2.6.4-1ubuntu1.1) ... dpkg: error processing gnome-orca (--configure): Package is in a very bad inconsistent state - you should reinstall it before attempting configuration. dpkg: error processing python-problem-report (--configure): Package is in a very bad inconsistent state - you should reinstall it before attempting configuration. Setting up libv4lconvert0 (0.8.6-1ubuntu2) ... Setting up libv4lconvert0:i386 (0.8.6-1ubuntu2) ... dpkg: error processing python-piston-mini-client (--configure): Package is in a very bad inconsistent state - you should reinstall it before attempting configuration. Setting up libv4l-0 (0.8.6-1ubuntu2) ... Setting up libv4l-0:i386 (0.8.6-1ubuntu2) ... dpkg: dependency problems prevent configuration of python-apport: python-apport depends on python-problem-report (>= 0.94); however: Package python-problem-report is not configured yet. dpkg: error processing python-apport (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of software-center: software-center depends on python-piston-mini-client (>= 0.1+bzr29); however: Package python-piston-mini-client is not configured yet. dpkg: error processing software-center (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of oneconf: oneconf depends on python-piston-mini-client (>= 0.3+bzr32-0ubuntu1); however: Package python-piston-mini-client is not configured yet. dpkg: error processing oneconf (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of apport: apport depends on python-apport (>= 2.0.1-0ubuntu7); however: Package python-apport is not configured yet. dpkg: error processing apport (--configure): dependency problems - leaving unconfigured Processing triggers for libc-bin ... ldconfig deferred processing now taking place This has been going on for two weeks now and I cannot get any updates. Any help would be great.

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• Is this an acceptable approach to undo/redo in Python?

  - by Codemonkey

  I'm making an application (wxPython) to process some data from Excel documents. I want the user to be able to undo and redo actions, even gigantic actions like processing the contents of 10 000 cells simultaneously. I Googled the topic, and all the solutions I could find involves a lot of black magic or is overly complicated. Here is how I imagine my simple undo/redo scheme. I write two classes - one called ActionStack and an abstract one called Action. Every "undoable" operation must be a subclass of Action and define the methods do and undo. The Action subclass is passed the instance of the "document", or data model, and is responsible for committing the operation and remembering how to undo the change. Now, every document is associated with an instance of the ActionStack. The ActionStack maintains a stack of actions (surprise!). Every time actions are undone and new actions are performed, all undone actions are removed for ever. The ActionStack will also automatically remove the oldest Action when the stack reaches the configurable maximum amount. I imagine the workflow would produce code looking something like this: class TableDocument(object): def __init__(self, table): self.table = table self.action_stack = ActionStack(history_limit=50) # ... def delete_cells(self, cells): self.action_stack.push( DeleteAction(self, cells) ) def add_column(self, index, name=''): self.action_stack.push( AddColumnAction(self, index, name) ) # ... def undo(self, count=1): self.action_stack.undo(count) def redo(self, count=1): self.action_stack.redo(count) Given that none of the methods I've found are this simple, I thought I'd get the experts' opinion before I go ahead with this plan. More specifically, what I'm wondering about is - are there any glaring holes in this plan that I'm not seeing?

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• Restrictive routing best practices for Google App Engine with python?

  - by Aleksandr Makov

  Say I have a simple structure: app = webapp2.WSGIApplication([ (r'/', 'pages.login'), (r'/profile', 'pages.profile'), (r'/dashboard', 'pages.dash'), ], debug=True) Basically all pages require authentication except for the login. If visitor tries to reach a restrictive page and he isn't authorized (or lacks privileges) then he gets redirected to the login view. The question is about the routing design. Should I check the auth and ACL privs in each of the modules (pages.profile and pages.dash from example above), or just pass all requests through the single routing mechanism: app = webapp2.WSGIApplication([ (r'/', 'pages.login'), (r'/.+', 'router') ], debug=True) I'm still quite new to the GAE, but my app requires authentication as well as ACL. I'm aware that there's login directive on the server config level, but I don't know how it works and how I can tight it with my ACL logic and what's worse I cannot estimate time needed to get it running. Besides, it looks only to provide only 2 user groups: admin and user. In any case, that's the configuration I use: handlers: - url: /favicon.ico static_files: static/favicon.ico upload: static/favicon.ico - url: /static/* static_dir: static - url: .* script: main.app secure: always Or I miss something here and ACL can be set in the config file? Thanks.

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• What can I use to set up a 100% cloud based python IDE + Hosting environment?

  - by PhD

  I'm working a side project and I can't always be on "my" machine to code/deploy the web application. I am aware of various cloud IDEs (e.g., Cloud 9 IDE) and independent Django/Flask etc., hosting services (e.g., Heroku). What is the best way to completely shift my development/deployment environment to the cloud so that I can code/deploy from anywhere? I don't mind using paid services but I'm not sure which cloud IDEs play nice with which hosting services. Has anyone tried this setup before? What has or hasn't worked? I want to minimize the manual intervention in 'connecting the two services' as much as possible. I'm going to be using Django, MySQL and Redis for the web-app

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• Pro/con of using Angular directives for complex form validation/ GUI manipulation

  - by tengen

  I am building a new SPA front end to replace an existing enterprise's legacy hodgepodge of systems that are outdated and in need of updating. I am new to angular, and wanted to see if the community could give me some perspective. I'll state my problem, and then ask my question. I have to generate several series of check boxes based on data from a .js include, with data like this: $scope.fieldMappings.investmentObjectiveMap = [ {'id':"CAPITAL PRESERVATION", 'name':"Capital Preservation"}, {'id':"STABLE", 'name':"Moderate"}, {'id':"BALANCED", 'name':"Moderate Growth"}, // etc {'id':"NONE", 'name':"None"} ]; The checkboxes are created using an ng-repeat, like this: <div ng-repeat="investmentObjective in fieldMappings.investmentObjectiveMap"> ... </div> However, I needed the values represented by the checkboxes to map to a different model (not just 2-way-bound to the fieldmappings object). To accomplish this, I created a directive, which accepts a destination array destarray which is eventually mapped to the model. I also know I need to handle some very specific gui controls, such as unchecking "None" if anything else gets checked, or checking "None" if everything else gets unchecked. Also, "None" won't be an option in every group of checkboxes, so the directive needs to be generic enough to accept a validation function that can fiddle with the checked state of the checkbox group's inputs based on what's already clicked, but smart enough not to break if there is no option called "NONE". I started to do that by adding an ng-click which invoked a function in the controller, but in looking around Stack Overflow, I read people saying that its bad to put DOM manipulation code inside your controller - it should go in directives. So do I need another directive? So far: (html): <input my-checkbox-group type="checkbox" fieldobj="investmentObjective" ng-click="validationfunc()" validationfunc="clearOnNone()" destarray="investor.investmentObjective" /> Directive code: .directive("myCheckboxGroup", function () { return { restrict: "A", scope: { destarray: "=", // the source of all the checkbox values fieldobj: "=", // the array the values came from validationfunc: "&" // the function to be called for validation (optional) }, link: function (scope, elem, attrs) { if (scope.destarray.indexOf(scope.fieldobj.id) !== -1) { elem[0].checked = true; } elem.bind('click', function () { var index = scope.destarray.indexOf(scope.fieldobj.id); if (elem[0].checked) { if (index === -1) { scope.destarray.push(scope.fieldobj.id); } } else { if (index !== -1) { scope.destarray.splice(index, 1); } } }); } }; }) .js controller snippet: .controller( 'SuitabilityCtrl', ['$scope', function ( $scope ) { $scope.clearOnNone = function() { // naughty jQuery DOM manipulation code that // looks at checkboxes and checks/unchecks as needed }; The above code is done and works fine, except the naughty jquery code in clearOnNone(), which is why I wrote this question. And here is my question: after ALL this, I think to myself - I could be done already if I just manually handled all this GUI logic and validation junk with jQuery written in my controller. At what point does it become foolish to write these complicated directives that future developers will have to puzzle over more than if I had just written jQuery code that 99% of us would understand with a glance? How do other developers draw the line? I see this all over Stack Overflow. For example, this question seems like it could be answered with a dozen lines of straightforward jQuery, yet he has opted to do it the angular way, with a directive and a partial... it seems like a lot of work for a simple problem. Specifically, I suppose I would like to know: how SHOULD I be writing the code that checks whether "None" has been selected (if it exists as an option in this group of checkboxes), and then check/uncheck the other boxes accordingly? A more complex directive? I can't believe I'm the only developer that is having to implement code that is more complex than needed just to satisfy an opinionated framework.

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• Player & Level class structure in 2D python console game?

  - by Markus Meskanen

  I'm trying to create a 2D console game, where I have a player who can freely move around in a level (~map, but map is a reserved keyword) and interfere with other objects. Levels construct out of multiple Blocks, such as player(s), rocks, etc. Here's the Block class: class Block(object): def __init__(self, x=0, y=0, char=' ', solid=False): self.x = x self.y = y self.char = char self.solid = solid As you see, each block has a position (x, y) and a character to represent the block when it's printed. Each block also has a solid attribute, defining whether it can overlap with other solids or not. (Two solid blocks cannot overlap) I've now created few subclasses from Block (Rock might be useless for now) class Rock(Block): def __init__(self, x=0, y=0): super(Rock, self).__init__(x, y, 'x', True) class Player(Block): def __init__(self, x=0, y=0): super(Player, self).__init__(x, y, 'i', True) def move_left(self, x=1): ... # How do I make sure Player wont overlap with rocks? self.x -= x And here's the Level class: class Level(object): def __init__(self, name='', blocks=None): self.name = name self.blocks = blocks or [] Only way I can think of is to store a Player instance into Level's attributes (self.player=Player(), or so) and then give Level a method: def player_move_left(self): for block in self.blocks: if block.x == self.player.x - 1 and block.solid: return False But this doesn't really make any sense, why have a Player class if it can't even be moved without Level? Imo. player should be moved by a method inside Player. Am I wrong at something here, if not, how could I implement such behavior?

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