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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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  • Is it possible to override the behavior of a merge module.

    - by Kragen
    Supposing I have a merge module that installs a file "MyFile.txt" to a certain location, and that I wish to use that merge module, however I want to supply a different copy of "MyFile.txt" from the one supplied with the merge module. Is it possible to do this? (And for bonus points how can I do this using Wix)

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  • Fortran 90 How to call a function in a subroutine in a module?

    - by Feynman
    I have a module that "contains" a subroutine that "contains" a function. I say "use themodule" in my main program and I can "call thesubroutine", but how to I get the function that is "contained" in the subroutine? The code looks like this: module useful integer, parameter :: N=2 double precision, parameter :: xmin=1, xmax=10, pi=3.1415926535898 double complex :: green(N,N), solution(N), k=(2.0,0.0) contains subroutine y(n1) contains function x(n1) real :: n1, x x=n1*(xmax-xmin)/N end function x end subroutine y end module useful

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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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  • How can i uniquely identify users trying to open() a kernel module?

    - by user349072
    Dear Gurus, I'm working on a Kernel module and i'm trying to Uniquely identify each one of the users trying to open() the module ( can be either processes or threads ). what is the best way to identify them? is there an ID i can get from a system call? i wish to get all users in a list that specifies whether they're trying to open the module for read \ write and i need to know which one tried acting... many many thanks. in regards, IK

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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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  • How to install MySQLdb package? (ImportError: No module named setuptools)

    - by Verrtex
    Hi All, I am trying to install MySQLdb package. I found the source code here. I did the following: gunzip MySQL-python-1.2.3c1.tar.gz tar xvf MySQL-python-1.2.3c1.tar cd MySQL-python-1.2.3c1 python setup.py build As the result I got the following: Traceback (most recent call last): File "setup.py", line 5, in ? from setuptools import setup, Extension ImportError: No module named setuptools Does anybody knows how to solve this problem? By the way, if I am able to do the described step, I will need to do the following: sudo python setup.py install And I have no system-administrator-rights. Do I still have a chance to install MySQLdb? Thank you.

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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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  • Djangobb problem

    - by Djero
    I've installed Djangobb app on my server (Debian, mod_python) by cloning original source. The only things I've changed is database options in settings.py. All needed components are installed - syncdb query was executed right. But, when I'm trying to enter on my forum, it returns me error: ImproperlyConfigured: Error importing middleware django_authopenid.middleware: "No module named djangobb_forum.subscription" I've checked - djangobb_forum/subscription.py exist, so I don't know what can be wrong. Maybe someone had problems like that and know how to fix it? Sorry for my english.

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  • Python: How can I override one module in a package with a modified version that lives outside the pa

    - by zlovelady
    I would like to update one module in a python package with my own version of the module, with the following conditions: I want my updated module to live outside of the original package (either because I don't have access to the package source, or because I want to keep my local modifications in a separate repo, etc). I want import statements that refer to original package/module to resolve to my local module Here's an example of what I'd like to do using specifics from django, because that's where this problem has arisen for me: Say this is my project structure django/ ... the original, unadulterated django package ... local_django/ conf/ settings.py myproject/ __init__.py myapp/ myfile.py And then in myfile.py # These imports should fetch modules from the original django package from django import models from django.core.urlresolvers import reverse # I would like this following import statement to grab a custom version of settings # that I define in local_django/conf/settings.py from django.conf import settings def foo(): return settings.some_setting Can I do some magic with the __import__ statement in myproject/__init__.py to accomplish this? Is there a more "pythonic" way to achieve this?

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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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  • What is __path__ useful for?

    - by Jason Baker
    I had never noticed the __path__ attribute that gets defined on some of my packages before today. According to the documentation: Packages support one more special attribute, __path__. This is initialized to be a list containing the name of the directory holding the package’s __init__.py before the code in that file is executed. This variable can be modified; doing so affects future searches for modules and subpackages contained in the package. While this feature is not often needed, it can be used to extend the set of modules found in a package. Could somebody explain to me what exactly this means and why I would ever want to use it?

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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 can I tell cpan to change the target for the module installation?

    - by sid_com
    Hello! When I installed perl from the source the first nice surprise was that without doing something all module installed from now on were available to the new perl. Since I didn't find one module on cpan that comes with my OS I have to use for some scripts the onboard-perl. For one of these scripts I would like to install Text::Format or Text::Autoformat (didn't find the docu for that module on cpan). My question: how can I tell cpan to install the module this one time for the OS-distro-perl?

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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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  • 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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  • A simple DotNetNuke article module with C# and VB.NET Source

    - by Chris Hammond
    For the DotNetNuke Connections conference last month I provided an advanced DotNetNuke module development course as a pre-conference training session. That training covered details on how to implement some of the newer features in the DotNetNuke platform within custom modules, mainly ContentItem integration and Taxonomy features. For the course I created a very basic Article module for DotNetNuke, ultimately naming it DNNSimpleArticle. For the course I created both a C# and a VB.NET version of the...(read more)

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  • gnome-tweak-tool doesn't start due to "ImportError: No module named gi" error

    - by Khajak Vahanyan
    I am using Ubuntu 11.10 with Gnome Shell and have a problem with gnome-tweak-tool. When I click on it, it does nothing and when I try to open with terminal it gives this error: Traceback (most recent call last): File "/usr/bin/gnome-tweak-tool", line 22, in <module> import gi ImportError: No module named gi I googled a bit, found some solutions (reinstalled some python-gobject packages), but still didn't help./

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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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  • Upgrade to 11.10 caused rt2800usb module to be blacklisted

    - by Shevek
    I just upgraded from Kubuntu 11.04 to 11.10, and I noticed that after the upgrade my USB wireless card was no longer recognized. It turns out that the rt2800usb module had been added (automatically, I assume, unless previously the module had been loading despite being blacklisted) to /etc/modprobe.d/blacklist.conf. I re-enabled the wireless card by commenting out the blacklist line and adding rt2800usb to /etc/modules, but I was wondering if there was a reason for rt2800usb being added to the blacklist.

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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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  • Kernel module implementation estimate

    - by Ivan Teterevkov
    I have a very abstract question about a kernel module writing estimate. How much dev-hours/months may required to write or, especially, port an existant kernel driver for a new PCI HBA from one operating system to another (with different kernel API)? I am porting an already written kernel module for 82599 for Linux kernel to OS X's IOKit and try to get a working alpha. I can't imagine for how long this task may expand in time.

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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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