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  • How to reload python module from itself?

    - by mivulf
    I have a python module with a lot of variables. These variables are used and changed by many other modules. And I want to reload this module from itself when it happens (for refresh). How to do that? # ================================== # foo.py spam = 100 def set_spam(value): spam = value foo = reload(foo) # reload module from itself # ================================== # bar.py import foo print foo.spam # I expect 100 # assume that value changes here from some another modules (for example, from eggs.py, apple.py and fruit.py) foo.set_spam(200) print foo.spam # I expect 200

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  • How does this module code work?

    - by phsr
    I'm new to ruby and I am trying to figure out how the following code works The following code is inside a class in a module. The method is called later with the following code: @something ||= Module::Class.config class << self def config &block options = OpenStruct.new yield options if block_given? init_client! Client.new(options) end def init_client!(client) base_eigenclass = class << Base; self; end base_eigenclass.send :define_method, :client do @client = client end client end end The class has some constants in it, and when the classes initialize is called, the instance member are set to option.variable || VARIABLE_CONSTANT. I understand that if there is no value for option.variable then VARIABLE_CONSTANT is used, but I don't understand that calling Module::Class.config do |options| #some block end set the @client until config is called again with options The code definitely works, but I want to understand how it does

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  • Creating a dynamic proxy generator – Part 1 – Creating the Assembly builder, Module builder and cach

    - by SeanMcAlinden
    I’ve recently started a project with a few mates to learn the ins and outs of Dependency Injection, AOP and a number of other pretty crucial patterns of development as we’ve all been using these patterns for a while but have relied totally on third part solutions to do the magic. We thought it would be interesting to really get into the details by rolling our own IoC container and hopefully learn a lot on the way, and you never know, we might even create an excellent framework. The open source project is called Rapid IoC and is hosted at http://rapidioc.codeplex.com/ One of the most interesting tasks for me is creating the dynamic proxy generator for enabling Aspect Orientated Programming (AOP). In this series of articles, I’m going to track each step I take for creating the dynamic proxy generator and I’ll try my best to explain what everything means - mainly as I’ll be using Reflection.Emit to emit a fair amount of intermediate language code (IL) to create the proxy types at runtime which can be a little taxing to read. It’s worth noting that building the proxy is without a doubt going to be slightly painful so I imagine there will be plenty of areas I’ll need to change along the way. Anyway lets get started…   Part 1 - Creating the Assembly builder, Module builder and caching mechanism Part 1 is going to be a really nice simple start, I’m just going to start by creating the assembly, module and type caches. The reason we need to create caches for the assembly, module and types is simply to save the overhead of recreating proxy types that have already been generated, this will be one of the important steps to ensure that the framework is fast… kind of important as we’re calling the IoC container ‘Rapid’ – will be a little bit embarrassing if we manage to create the slowest framework. The Assembly builder The assembly builder is what is used to create an assembly at runtime, we’re going to have two overloads, one will be for the actual use of the proxy generator, the other will be mainly for testing purposes as it will also save the assembly so we can use Reflector to examine the code that has been created. Here’s the code: DynamicAssemblyBuilder using System; using System.Reflection; using System.Reflection.Emit; namespace Rapid.DynamicProxy.Assembly {     /// <summary>     /// Class for creating an assembly builder.     /// </summary>     internal static class DynamicAssemblyBuilder     {         #region Create           /// <summary>         /// Creates an assembly builder.         /// </summary>         /// <param name="assemblyName">Name of the assembly.</param>         public static AssemblyBuilder Create(string assemblyName)         {             AssemblyName name = new AssemblyName(assemblyName);               AssemblyBuilder assembly = AppDomain.CurrentDomain.DefineDynamicAssembly(                     name, AssemblyBuilderAccess.Run);               DynamicAssemblyCache.Add(assembly);               return assembly;         }           /// <summary>         /// Creates an assembly builder and saves the assembly to the passed in location.         /// </summary>         /// <param name="assemblyName">Name of the assembly.</param>         /// <param name="filePath">The file path.</param>         public static AssemblyBuilder Create(string assemblyName, string filePath)         {             AssemblyName name = new AssemblyName(assemblyName);               AssemblyBuilder assembly = AppDomain.CurrentDomain.DefineDynamicAssembly(                     name, AssemblyBuilderAccess.RunAndSave, filePath);               DynamicAssemblyCache.Add(assembly);               return assembly;         }           #endregion     } }   So hopefully the above class is fairly explanatory, an AssemblyName is created using the passed in string for the actual name of the assembly. An AssemblyBuilder is then constructed with the current AppDomain and depending on the overload used, it is either just run in the current context or it is set up ready for saving. It is then added to the cache.   DynamicAssemblyCache using System.Reflection.Emit; using Rapid.DynamicProxy.Exceptions; using Rapid.DynamicProxy.Resources.Exceptions;   namespace Rapid.DynamicProxy.Assembly {     /// <summary>     /// Cache for storing the dynamic assembly builder.     /// </summary>     internal static class DynamicAssemblyCache     {         #region Declarations           private static object syncRoot = new object();         internal static AssemblyBuilder Cache = null;           #endregion           #region Adds a dynamic assembly to the cache.           /// <summary>         /// Adds a dynamic assembly builder to the cache.         /// </summary>         /// <param name="assemblyBuilder">The assembly builder.</param>         public static void Add(AssemblyBuilder assemblyBuilder)         {             lock (syncRoot)             {                 Cache = assemblyBuilder;             }         }           #endregion           #region Gets the cached assembly                  /// <summary>         /// Gets the cached assembly builder.         /// </summary>         /// <returns></returns>         public static AssemblyBuilder Get         {             get             {                 lock (syncRoot)                 {                     if (Cache != null)                     {                         return Cache;                     }                 }                   throw new RapidDynamicProxyAssertionException(AssertionResources.NoAssemblyInCache);             }         }           #endregion     } } The cache is simply a static property that will store the AssemblyBuilder (I know it’s a little weird that I’ve made it public, this is for testing purposes, I know that’s a bad excuse but hey…) There are two methods for using the cache – Add and Get, these just provide thread safe access to the cache.   The Module Builder The module builder is required as the create proxy classes will need to live inside a module within the assembly. Here’s the code: DynamicModuleBuilder using System.Reflection.Emit; using Rapid.DynamicProxy.Assembly; namespace Rapid.DynamicProxy.Module {     /// <summary>     /// Class for creating a module builder.     /// </summary>     internal static class DynamicModuleBuilder     {         /// <summary>         /// Creates a module builder using the cached assembly.         /// </summary>         public static ModuleBuilder Create()         {             string assemblyName = DynamicAssemblyCache.Get.GetName().Name;               ModuleBuilder moduleBuilder = DynamicAssemblyCache.Get.DefineDynamicModule                 (assemblyName, string.Format("{0}.dll", assemblyName));               DynamicModuleCache.Add(moduleBuilder);               return moduleBuilder;         }     } } As you can see, the module builder is created on the assembly that lives in the DynamicAssemblyCache, the module is given the assembly name and also a string representing the filename if the assembly is to be saved. It is then added to the DynamicModuleCache. DynamicModuleCache using System.Reflection.Emit; using Rapid.DynamicProxy.Exceptions; using Rapid.DynamicProxy.Resources.Exceptions; namespace Rapid.DynamicProxy.Module {     /// <summary>     /// Class for storing the module builder.     /// </summary>     internal static class DynamicModuleCache     {         #region Declarations           private static object syncRoot = new object();         internal static ModuleBuilder Cache = null;           #endregion           #region Add           /// <summary>         /// Adds a dynamic module builder to the cache.         /// </summary>         /// <param name="moduleBuilder">The module builder.</param>         public static void Add(ModuleBuilder moduleBuilder)         {             lock (syncRoot)             {                 Cache = moduleBuilder;             }         }           #endregion           #region Get           /// <summary>         /// Gets the cached module builder.         /// </summary>         /// <returns></returns>         public static ModuleBuilder Get         {             get             {                 lock (syncRoot)                 {                     if (Cache != null)                     {                         return Cache;                     }                 }                   throw new RapidDynamicProxyAssertionException(AssertionResources.NoModuleInCache);             }         }           #endregion     } }   The DynamicModuleCache is very similar to the assembly cache, it is simply a statically stored module with thread safe Add and Get methods.   The DynamicTypeCache To end off this post, I’m going to create the cache for storing the generated proxy classes. I’ve spent a fair amount of time thinking about the type of collection I should use to store the types and have finally decided that for the time being I’m going to use a generic dictionary. This may change when I can actually performance test the proxy generator but the time being I think it makes good sense in theory, mainly as it pretty much maintains it’s performance with varying numbers of items – almost constant (0)1. Plus I won’t ever need to loop through the items which is not the dictionaries strong point. Here’s the code as it currently stands: DynamicTypeCache using System; using System.Collections.Generic; using System.Security.Cryptography; using System.Text; namespace Rapid.DynamicProxy.Types {     /// <summary>     /// Cache for storing proxy types.     /// </summary>     internal static class DynamicTypeCache     {         #region Declarations           static object syncRoot = new object();         public static Dictionary<string, Type> Cache = new Dictionary<string, Type>();           #endregion           /// <summary>         /// Adds a proxy to the type cache.         /// </summary>         /// <param name="type">The type.</param>         /// <param name="proxy">The proxy.</param>         public static void AddProxyForType(Type type, Type proxy)         {             lock (syncRoot)             {                 Cache.Add(GetHashCode(type.AssemblyQualifiedName), proxy);             }         }           /// <summary>         /// Tries the type of the get proxy for.         /// </summary>         /// <param name="type">The type.</param>         /// <returns></returns>         public static Type TryGetProxyForType(Type type)         {             lock (syncRoot)             {                 Type proxyType;                 Cache.TryGetValue(GetHashCode(type.AssemblyQualifiedName), out proxyType);                 return proxyType;             }         }           #region Private Methods           private static string GetHashCode(string fullName)         {             SHA1CryptoServiceProvider provider = new SHA1CryptoServiceProvider();             Byte[] buffer = Encoding.UTF8.GetBytes(fullName);             Byte[] hash = provider.ComputeHash(buffer, 0, buffer.Length);             return Convert.ToBase64String(hash);         }           #endregion     } } As you can see, there are two public methods, one for adding to the cache and one for getting from the cache. Hopefully they should be clear enough, the Get is a TryGet as I do not want the dictionary to throw an exception if a proxy doesn’t exist within the cache. Other than that I’ve decided to create a key using the SHA1CryptoServiceProvider, this may change but my initial though is the SHA1 algorithm is pretty fast to put together using the provider and it is also very unlikely to have any hashing collisions. (there are some maths behind how unlikely this is – here’s the wiki if you’re interested http://en.wikipedia.org/wiki/SHA_hash_functions)   Anyway, that’s the end of part 1 – although I haven’t started any of the fun stuff (by fun I mean hairpulling, teeth grating Relfection.Emit style fun), I’ve got the basis of the DynamicProxy in place so all we have to worry about now is creating the types, interceptor classes, method invocation information classes and finally a really nice fluent interface that will abstract all of the hard-core craziness away and leave us with a lightning fast, easy to use AOP framework. Hope you find the series interesting. All of the source code can be viewed and/or downloaded at our codeplex site - http://rapidioc.codeplex.com/ Kind Regards, Sean.

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  • Install gettext-0.17-1.el5.i386.rpm on CentOS 5.8 i386 gives "/usr/bin/python is needed" error

    - by viji
    I've removed yum by mistake. So, now I'm installing all the dependencies needed by yum manually. One of those is gettext-0.17-1.el5.i386.rpm and when I try to install it gives the following error, error: Failed dependencies: /usr/bin/python is needed by gettext-0.17-1.el5.i386 which is weird since I've installed python 2.6 already in the system. #python -V Python 2.6.8 #which python /usr/local/bin/python So I copied /usr/local/bin/python to /usr/bin/python and even after that I'm getting the same error. Any help is appreciated.

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  • How to compile Python scripts for use in FORTRAN?

    - by Vincent Poirier
    Hello, Although I found many answers and discussions about this question, I am unable to find a solution particular to my situation. Here it is: I have a main program written in FORTRAN. I have been given a set of python scripts that are very useful. My goal is to access these python scripts from my main FORTRAN program. Currently, I simply call the scripts from FORTRAN as such: CALL SYSTEM ('python pyexample.py') Data is read from .dat files and written to .dat files. This is how the python scripts and the main FORTRAN program communicate to each other. I am currently running my code on my local machine. I have python installed with numpy, scipy, etc. My problem: The code needs to run on a remote server. For strictly FORTRAN code, I compile the code locally and send the executable to the server where it waits in a queue. However, the server does not have python installed. The server is being used as a number crunching station between universities and industry. Installing python along with the necessary modules on the server is not an option. This means that my “CALL SYSTEM ('python pyexample.py')” strategy no longer works. Solution?: I found some information on a couple of things in thread http://stackoverflow.com/questions/138521/is-it-feasible-to-compile-python-to-machine-code Shedskin, Psyco, Cython, Pypy, Cpython API These “modules”(? Not sure if that's what to call them) seem to compile python script to C code or C++. Apparently not all python features can be translated to C. As well, some of these appear to be experimental. Is it possible to compile my python scripts with my FORTRAN code? There exists f2py which converts FORTRAN code to python, but it doesn't work the other way around. Any help would be greatly appreciated. Thank you for your time. Vincent PS: I'm using python 2.6 on Ubuntu

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  • Language Club – Battle of the Dynamic Languages

    - by Ben Griswold
    After dedicating the last eight weeks to learning Ruby, it’s time to move onto another language.  I really dig Ruby.  I really enjoy its dynamism and expressiveness and always-openness and it’s been the highlight of our coding club for me so far. But that’s just my take on the language.  I know a lot of coders who’s stomachs turn with the mere thought of Ruby.  They say it’s Ruby’s openness which has them feeling uneasy.  I’d say “write a bunch of tests and get over it,” but I figure there must be more to it than always open classes and possible method collisions. Yes, there’s something else to it alright. The folks who didn’t fall head over heals for Ruby are already in love with Python.  You might remember that Python was the first language we tackled in our coding club.  My time with Python was okay but it didn’t feel as natural to me as Ruby.  But let’s say we started with Ruby and then moved onto Python.  Would I see Python in a different light right now.  Might I even prefer Python over Ruby?  I suppose it’s possible but it’s pretty tough to test that theory – unless we visit Python for a second time. That’s right. The language club is going to focus on Python again and in my attempt to learn Python – yet again – in the open, I’ll be posting my solutions here just as I did for Ruby.  We don’t always have second chances so I going about this relearning with two primary goals in mind:  First, I’m going to use IronPython and the IronPython tools which provide a Python code editor, a file-based project system, and an interactive Python interpreter, all inside Visual Studio 2010.  As a note, the IronPython tools are now part of the main IronPython installer which is Version 2.7 Alpha 1 (not the latest stable version, 2.6.1) and I’d be crazy not to use them.  Second, I’d like to make sure I’m still learning Python without a complete MS skew so I’m going to run my code through Eclipse using the PyDev plugin as well.  Heck, I might use IDLE too. I already have this setup on my machine so it’s no big deal. Okay, that’s it for now.  I worked on the first ten Euler problems last night and the solutions will be posted shortly. Wish me luck.

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  • How do I resolve not fully installed package (python3-setuptools)?

    - by user3737693
    I was trying to install python3-setuptools, and when i run $ sudo apt-get install python3-setuptools I get this error: Reading package lists... Done Building dependency tree Reading state information... Done 0 upgraded, 0 newly installed, 0 to remove and 6 not upgraded. 1 not fully installed or removed. After this operation, 0 B of additional disk space will be used. Setting up python3-setuptools (0.6.34-0ubuntu1) ... Traceback (most recent call last): File "/usr/bin/py3compile", line 36, in <module> from debpython import files as dpf File "/usr/share/python3/debpython/files.py", line 25, in <module> from debpython.pydist import PUBLIC_DIR_RE File "/usr/share/python3/debpython/pydist.py", line 28, in <module> from debpython.tools import memoize File "/usr/share/python3/debpython/tools.py", line 25, in <module> from datetime import datetime ImportError: /usr/bin/datetime.so: undefined symbol: _Py_ZeroStruct dpkg: error processing python3-setuptools (--configure): subprocess installed post-installation script returned error exit status 1 Errors were encountered while processing: python3-setuptools E: Sub-process /usr/bin/dpkg returned an error code (1) I tried apt-get clean, apt-get autoclean, apt-get remove python3-setuptools, dpkg --remove python3-setuptools, apt-get install -f, dpkg -P --force-remove-reinstreq, dpkg -P --force-all --force-remove-reinstreq and dpkg --purge, but none of them worked. Output of sudo dpkg -P --force-all --force-remove-reinstreq python3-setuptools (Reading database ... 225309 files and directories currently installed.) Removing python3-setuptools ... Traceback (most recent call last): File "/usr/bin/py3clean", line 32, in <module> from debpython import files as dpf File "/usr/share/python3/debpython/files.py", line 25, in <module> from debpython.pydist import PUBLIC_DIR_RE File "/usr/share/python3/debpython/pydist.py", line 28, in <module> from debpython.tools import memoize File "/usr/share/python3/debpython/tools.py", line 25, in <module> from datetime import datetime ImportError: /usr/bin/datetime.so: undefined symbol: _Py_ZeroStruct dpkg: error processing python3-setuptools (--purge): subprocess installed pre-removal script returned error exit status 1 Traceback (most recent call last): File "/usr/bin/py3compile", line 36, in <module> from debpython import files as dpf File "/usr/share/python3/debpython/files.py", line 25, in <module> from debpython.pydist import PUBLIC_DIR_RE File "/usr/share/python3/debpython/pydist.py", line 28, in <module> from debpython.tools import memoize File "/usr/share/python3/debpython/tools.py", line 25, in <module> from datetime import datetime ImportError: /usr/bin/datetime.so: undefined symbol: _Py_ZeroStruct dpkg: error while cleaning up: subprocess installed post-installation script returned error exit status 1 Errors were encountered while processing: python3-setuptools

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  • How to open python scripts directly by typing in their name in terminal (Mac OS X)

    - by Haffi112
    I'm working on installing django and running it on my system. I have a problem though, in this tutorial creating a project is explained by running the command django-admin.py startproject mysite My issue is that this doesn't work. I changed to the directory where django-admin.py is located and ran the command chmod +x django-admin.py with no results. I tried adding the directory with the file to my path without results. I ended up fixing my problem with this command python /location/of/django-admin.py startproject mysite which yielded the outcome I expected. My problem is: What do I need to change/configure such that command django-admin.py startproject mysite would be sufficient? Here are some experiments: 21:09~/Desktop/HI/NSN/Polls > django-admin.py startproject mysite -bash: django-admin.py: command not found 21:09~/Desktop/HI/NSN/Polls > ./django-admin.py startproject mysite -bash: ./django-admin.py: No such file or directory 21:09~/Desktop/HI/NSN/Polls > python django-admin.py startproject mysite python: can't open file 'django-admin.py': [Errno 2] No such file or directory 21:09~/Desktop/HI/NSN/Polls > /opt/local/lib/python2.4/site-packages/django/bin/django-admin.py startproject prufa1 -bash: /opt/local/lib/python2.4/site-packages/django/bin/django-admin.py: /opt/local/bin: bad interpreter: Permission denied 21:09~/Desktop/HI/NSN/Polls > sudo /opt/local/lib/python2.4/site-packages/django/bin/django-admin.py startproject prufa1Password: sudo: unable to execute /opt/local/lib/python2.4/site-packages/django/bin/django-admin.py: Permission denied 21:09~/Desktop/HI/NSN/Polls > sudo /opt/local/lib/python2.4/site-packages/django/bin/django-admin.py startproject prufa1sudo: unable to execute /opt/local/lib/python2.4/site-packages/django/bin/django-admin.py: Permission denied 21:09~/Desktop/HI/NSN/Polls > python /opt/local/lib/python2.4/site-packages/django/bin/django-admin.py startproject prufa1 21:09~/Desktop/HI/NSN/Polls > ls mysite prufa1 Final edit: The problem is solved, see Ian C's answer for the right solution. Thank you everyone for helping my out, this was very fast!

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  • How to add "create a new python file" to the registry

    - by Anthony
    I have Python 3.2 on a windows 7 operating system. The other day I thought that it would be convenient to add a link to create a new .py file in the right hand click "new" menu. I had worked with the registry before and looked up how to add an item to the "new" menu, but when I got to the registry under HKEY_CLASSES_ROOT the .py extension key was not there. I only know how to add something to the "new" menu using the extension key. I searched the web, but could not come up with any other ways. Python works perfectly fine, and I don't want to mess anything up by adding the extension key. So here are my questions: Will I mess up python or something else by adding a .py key?( I know it is dangerous to work with the registry, that is why I am looking for a safe solution) If not how can I go about doing this? OR Is there a different way to add "create a new python file" to the "new" menu? If so how can I do it? OR If the only way is very complicated should I forget about it? Thank you in advance. P.S I originally posted on Stack Overflow that they told me to move it over here.

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  • Broken package ubuntuone-control-panel-qt

    - by baale7
    An interrupted installation of updates resulted in ubuntuone-control-panel-qt breaking and now I cannot install or update anything. There seems to be an error in python2.7 - ImportError: No module named _sysconfigdata_nd dpkg: error processing archive ubuntuone-control-panel-qt_13.09-0ubuntu1_all.deb (--install): When I try to reinstall the package via .deb a dpkg --audit yields: The following packages are in a mess due to serious problems during installation. They must be reinstalled for them (and any packages that depend on them) to function properly: ?python-pexpect Python module for automating interactive applications ?ubuntuone-control-panel-qt Ubuntu One Control Panel - Qt frontend ?hplip-data HP Linux Printing and Imaging - data files ?python-libxml2 Python bindings for the GNOME XML library ?apport automatically generate crash reports for debugging The following packages are only half configured, probably due to problems configuring them the first time. The configuration should be retried using dpkg --configure or the configure menu option in dselect: ?python-ubuntuone-client Ubuntu One client Python libraries ?python-ubuntuone-control-panel Ubuntu One Control Panel - Python Libraries --configure or --configure -a doesn't work Any help?

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  • A business Case for Enterprise Python

    - by Srirangan
    Hi all, This will not be a "programming" question but more technology / platform related question. I'm trying to figure out whether Python can be a suitable Java alternative for enterprise / web applications. Which are the ideal cases where you would prefer to use Python instead of Java? How would a typical Python web application (databases/sessions/concurrency) perform as compared to a typical Java application? How do specific Python frameworks square up against Java based frameworks (Spring, SEAM, Grails etc.)? For businesses, switching from the Java infrastructure to a Python infrastructure .. is it too hard/expensive/resource intensive/not viable? Also shed some light on the business case for providing a Python + Google AppEngine based solution to the end customer. Will it be cost effective in an typical scenario? Sorry if I am asking too wide a question, I would have liked to keep it specific, but I need your help to evaluate Python as a whole from the perspectives of the programmers, service providing company and end business customer. For an SME, a Python/GoogleAppEngine based technology stack is a clear scalable and affordable platform. But what about a large MNC that already has a lot invested in Java. Thank you so much. I am researching this myself and will gladly share my conclusions here! Thank you, Srirangan

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  • instantiate python object within a c function called via ctypes

    - by gwk
    My embedded Python 3.3 program segfaults when I instantiate python objects from a c function called by ctypes. After setting up the interpreter, I can successfully instantiate a python Int (as well as a custom c extension type) from c main: #import <Python/Python.h> #define LOGPY(x) \ { fprintf(stderr, "%s: ", #x); PyObject_Print((PyObject*)(x), stderr, 0); fputc('\n', stderr); } // c function to be called from python script via ctypes. void instantiate() { PyObject* instance = PyObject_CallObject((PyObject*)&PyLong_Type, NULL); LOGPY(instance); } int main(int argc, char* argv[]) { Py_Initialize(); instantiate(); // works fine // run a script that calls instantiate() via ctypes. FILE* scriptFile = fopen("emb.py", "r"); if (!scriptFile) { fprintf(stderr, "ERROR: cannot open script file\n"); return 1; } PyRun_SimpleFileEx(scriptFile, scriptPath, 1); // close on completion return 0; } I then run a python script using PyRun_SimpleFileEx. It appears to run just fine, but when it calls instantiate() via ctypes, the program segfaults inside PyObject_CallObject: import ctypes as ct dy = ct.CDLL('./emb') dy.instantiate() # segfaults lldb output: instance: 0 Process 52068 stopped * thread #1: tid = 0x1c03, 0x000000010000d3f5 Python`PyObject_Call + 69, stop reason = EXC_BAD_ACCESS (code=1, address=0x18) frame #0: 0x000000010000d3f5 Python`PyObject_Call + 69 Python`PyObject_Call + 69: -> 0x10000d3f5: movl 24(%rax), %edx 0x10000d3f8: incl %edx 0x10000d3fa: movl %edx, 24(%rax) 0x10000d3fd: leaq 2069148(%rip), %rax ; _Py_CheckRecursionLimit (lldb) bt * thread #1: tid = 0x1c03, 0x000000010000d3f5 Python`PyObject_Call + 69, stop reason = EXC_BAD_ACCESS (code=1, address=0x18) frame #0: 0x000000010000d3f5 Python`PyObject_Call + 69 frame #1: 0x00000001000d5197 Python`PyEval_CallObjectWithKeywords + 87 frame #2: 0x0000000201100d8e emb`instantiate + 30 at emb.c:9 Why does the call to instantiate() fail from ctypes only? The function only crashes when it calls into the python lib, so perhaps some interpreter state is getting munged by the ctypes FFI call?

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  • Python: Best way to check for Python version in program that uses new language features?

    - by Mark Harrison
    If I have a python script that requires at least a particular version of python, what is the correct way to fail gracefully when an earlier version of python is used to launch the script? How do I get control early enough to issue an error message and exit? For example, I have a program that uses the ternery operator (new in 2.5) and "with" blocks (new in 2.6). I wrote a simple little interpreter-version checker routine which is the first thing the script would call ... except it doesn't get that far. Instead, the script fails during python compilation, before my routines are even called. Thus the user of the script sees some very obscure synax error tracebacks - which pretty much require an expert to deduce that it is simply the case of running the wrong version of python. update I know how to check the version of python. The issue is that some syntax is illegal in older versions of python. Consider this program: import sys if sys.version_info < (2, 4): raise "must use python 2.5 or greater" else: # syntax error in 2.4, ok in 2.5 x = 1 if True else 2 print x When run under 2.4, I want this result $ ~/bin/python2.4 tern.py must use python2.5 or greater and not this result: $ ~/bin/python2.4 tern.py File "tern.py", line 5 x = 1 if True else 2 ^ SyntaxError: invalid syntax (channeling for a coworker)

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  • emacs: Inferior-mode python-shell appears "lagged"

    - by Begbie00
    Hi all - I'm a Python(3.1.2)/emacs(23.2) newbie teaching myself tkinter using the pythonware tutorial found here. Relevant code is pasted below the question. Question: when I click the Hello button (which should call the say_hi function) why does the inferior python shell (i.e. the one I kicked off with C-c C-c) wait to execute the say_hi print function until I either a) click the Quit button or b) close the root widget down? When I try the same in IDLE, each click of the Hello button produces an immediate print in the IDLE python shell, even before I click Quit or close the root widget. Is there some quirk in the way emacs runs the Python shell (vs. IDLE) that causes this "lagged" behavior? I've noticed similar emacs lags vs. IDLE as I've worked through Project Euler problems, but this is the clearest example I've seen yet. FYI: I use python.el and have a relatively clean init.el... (setq python-python-command "d:/bin/python31/python") is the only line in my init.el. Thanks, Mike === Begin Code=== from tkinter import * class App: def __init__(self,master): frame = Frame(master) frame.pack() self.button = Button(frame, text="QUIT", fg="red", command=frame.quit) self.button.pack(side=LEFT) self.hi_there = Button(frame, text="Hello", command=self.say_hi) self.hi_there.pack(side=LEFT) def say_hi(self): print("hi there, everyone!") root = Tk() app = App(root) root.mainloop()

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  • Python C API from C++ app - know when to lock

    - by Alex
    Hi Everyone, I am trying to write a C++ class that calls Python methods of a class that does some I/O operations (file, stdout) at once. The problem I have ran into is that my class is called from different threads: sometimes main thread, sometimes different others. Obviously I tried to apply the approach for Python calls in multi-threaded native applications. Basically everything starts from PyEval_AcquireLock and PyEval_ReleaseLock or just global locks. According to the documentation here when a thread is already locked a deadlock ensues. When my class is called from the main thread or other one that blocks Python execution I have a deadlock. Python Cfunc1() - C++ func that creates threads internally which lead to calls in "my class", It stuck on PyEval_AcquireLock, obviously the Python is already locked, i.e. waiting for C++ Cfunc1 call to complete... It completes fine if I omit those locks. Also it completes fine when Python interpreter is ready for the next user command, i.e. when thread is calling funcs in the background - not inside of a native call I am looking for a workaround. I need to distinguish whether or not the global lock is allowed, i.e. Python is not locked and ready to receive the next command... I tried PyGIL_Ensure, unfortunately I see hang. Any known API or solution for this ? (Python 2.4)

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  • Runing bcdedit from python in Windows 2008 SP2

    - by Lee-Man
    I do not know windows well, so that may explain my dilemma ... I am trying to run bcdedit in Windows 2008R2 from Python 2.6. My Python routine to run a command looks like this: def run_program(cmd_str): """Run the specified command, returning its output as an array of lines""" dprint("run_program(%s): entering" % cmd_str) cmd_args = cmd_str.split() subproc = subprocess.Popen(cmd_args, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True) (outf, errf) = (subproc.stdout, subproc.stderr) olines = outf.readlines() elines = errf.readlines() if Options.debug: if elines: dprint('Error output:') for line in elines: dprint(line.rstrip()) if olines: dprint('Normal output:') for line in olines: dprint(line.rstrip()) errf.close() outf.close() res = subproc.wait() dprint('wait result=', res) return (res, olines) I call this function thusly: (res, o) = run_program('bcdedit /set {current} MSI forcedisable') This command works when I type it from a cmd window, and it works when I put it in a batch file and run it from a command window (as Administrator, of course). But when I run it from Python (as Administrator), Python claims it can't find the command, returning: bcdedit is not recognized as an internal or external command, operable program or batch file Also, if I trying running my batch file from Python (which works from the command line), it also fails. I've also tried it with the full path to bcdedit, with the same results. What is it about calling bcdedit from Python that makes it not found? Note that I can call other EXE files from Python, so I have some level of confidence that my Python code is sane ... but who knows. Any help would be most appreciated.

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  • How do I override a python import?

    - by Evan Plaice
    So I'm working on pypreprocessor which is a preprocessor that takes c-style directives and I've been able to make it work like a traditional preprocessor (it's self-consuming and executes postprocessed code on-the-fly) except that it breaks library imports. The problem is. The preprocessor runs through the file, processes' it, outputs to a temp file, and exec() the temp file. Libraries that are imported need to be handled a little different because they aren't executed but rather loaded and made accessible to the caller module. What I need to be able to do is. Interrupt the import (since the preprocessor is being run in the middle of the import), load the postprocessed code as a tempModule, and replace the original import with the tempModule to trick the calling script with the import into believing that the tempModule is the original module. I have searched everywhere and so far, have no solution. This question is the closest I've seen so far to providing an answer: http://stackoverflow.com/questions/1096216/override-namespace-in-python Here's what I have. # remove the bytecode file created by the first import os.remove(moduleName + '.pyc') # remove the first import del sys.modules[moduleName] # import the postprocessed module tmpModule = __import__(tmpModuleName) # set first module's reference to point to the preprocessed module sys.modules[moduleName] = tmpModule moduleName is the name of the original module, tmpModuleName is the name of the postprocessed code file. The strange part is, this solution still runs completely normal as if the first module completed loaded normally; unless you remove the last line, then you get a module not found error. Hopefully someone on SO know a lot more about imports than I do because this one has me stumped.

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  • Passing C++ object to C++ code through Python?

    - by cornail
    Hi all, I have written some physics simulation code in C++ and parsing the input text files is a bottleneck of it. As one of the input parameters, the user has to specify a math function which will be evaluated many times at run-time. The C++ code has some pre-defined function classes for this (they are actually quite complex on the math side) and some limited parsing capability but I am not satisfied with this construction at all. What I need is that both the algorithm and the function evaluation remain speedy, so it is advantageous to keep them both as compiled code (and preferrably, the math functions as C++ function objects). However I thought of glueing the whole simulation together with Python: the user could specify the input parameters in a Python script, while also implementing storage, visualization of the results (matplotlib) and GUI, too, in Python. I know that most of the time, exposing C++ classes can be done, e.g. with SWIG but I still have a question concerning the parsing of the user defined math function in Python: Is it possible to somehow to construct a C++ function object in Python and pass it to the C++ algorithm? E.g. when I call f = WrappedCPPGaussianFunctionClass(sigma=0.5) WrappedCPPAlgorithm(f) in Python, it would return a pointer to a C++ object which would then be passed to a C++ routine requiring such a pointer, or something similar... (don't ask me about memory management in this case, though :S) The point is that no callback should be made to Python code in the algorithm. Later I would like to extend this example to also do some simple expression parsing on the Python side, such as sum or product of functions, and return some compound, parse-tree like C++ object but let's stay at the basics for now. Sorry for the long post and thx for the suggestions in advance.

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  • Testing variable types in Python

    - by Jasper
    Hello, I'm creating an initialising function for the class 'Room', and found that the program wouldn't accept the tests I was doing on the input variables. Why is this? def __init__(self, code, name, type, size, description, objects, exits): self.code = code self.name = name self.type = type self.size = size self.description = description self.objects = objects self.exits = exits #Check for input errors: if type(self.code) != type(str()): print 'Error found in module rooms.py!' print 'Error number: 110' elif type(self.name) != type(str()): print 'Error found in module rooms.py!' print 'Error number: 111' elif type(self.type) != type(str()): print 'Error found in module rooms.py!' print 'Error number: 112' elif type(self.size) != type(int()): print 'Error found in module rooms.py!' print 'Error number: 113' elif type(self.description) != type(str()): print 'Error found in module rooms.py!' print 'Error number: 114' elif type(self.objects) != type(list()): print 'Error found in module rooms.py!' print 'Error number: 115' elif type(self.exits) != type(tuple()): print 'Error found in module rooms.py!' print 'Error number: 116' When I run this I get this error: Traceback (most recent call last): File "/Users/Jasper/Development/Programming/MyProjects/Game Making Challenge/Europa I/rooms.py", line 148, in <module> myRoom = Room(101, 'myRoom', 'Basic Room', 5, '<insert description>', myObjects, myExits) File "/Users/Jasper/Development/Programming/MyProjects/Game Making Challenge/Europa I/rooms.py", line 29, in __init__ if type(self.code) != type(str()): TypeError: 'str' object is not callable

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  • Drupal: Exposing a module's data to Views2 using its API

    - by Sepehr Lajevardi
    I'm forking the filefield_stats module to provide it with the ability of exposing data into the Views module via the API. The filefield_stats module db table schema is as follow: <?php function filefield_stats_schema() { $schema['filefield_stats'] = array( 'fields' => array( 'fid' => array('type' => 'int', 'unsigned' => TRUE, 'not null' => TRUE, 'description' => 'Primary Key: the {files}.fid'), 'vid' => array('type' => 'int', 'unsigned' => TRUE, 'not null' => TRUE, 'description' => 'Primary Key: the {node}.vid'), 'uid' => array('type' => 'int', 'unsigned' => TRUE, 'not null' => TRUE, 'description' => 'The {users}.uid of the downloader'), 'timestamp' => array('type' => 'int', 'unsigned' => TRUE, 'not null' => TRUE, 'description' => 'The timestamp of the download'), 'hostname' => array('type' => 'varchar', 'length' => 128, 'not null' => TRUE, 'default' => '', 'description' => 'The hostname downloading the file (usually IP)'), 'referer' => array('type' => 'text', 'not null' => FALSE, 'description' => 'Referer for the download'), ), 'indexes' => array('fid_vid' => array('fid', 'vid')), ); return $schema; } ?> Well, so I implemented the hook_views_api() in filefield_stats.module & added a filefield_stats.views.inc file in the module's root directory, here it is: <?php // $Id$ /** * @file * Provide the ability of exposing data to Views2, for filefield_stats module. */ function filefield_stats_views_data() { $data = array(); $data['filefield_stats']['table']['group'] = t('FilefieldStats'); // Referencing the {node_revisions} table. $data['filefield_stats']['table']['join'] = array( 'node_revisions' => array( 'left_field' => 'vid', 'field' => 'vid', ), /*'files' => array( 'left_field' => 'fid', 'field' => 'fid', ), 'users' => array( 'left_field' => 'uid', 'field' => 'uid', ),*/ ); // Introducing filefield_stats table fields to Views2. // vid: The node's revision ID which wrapped the downloaded file $data['filefield_stats']['vid'] = array( 'title' => t('Node revision ID'), 'help' => t('The node\'s revision ID which wrapped the downloaded file'), 'relationship' => array( 'base' => 'node_revisions', 'field' => 'vid', 'handler' => 'views_handler_relationship', 'label' => t('Node Revision Reference.'), ), ); // uid: The ID of the user who downloaded the file. $data['filefield_stats']['uid'] = array( 'title' => t('User ID'), 'help' => t('The ID of the user who downloaded the file.'), 'relationship' => array( 'base' => 'users', 'field' => 'uid', 'handler' => 'views_handler_relationship', 'label' => t('User Reference.'), ), ); // fid: The ID of the downloaded file. $data['filefield_stats']['fid'] = array( 'title' => t('File ID'), 'help' => t('The ID of the downloaded file.'), 'relationship' => array( 'base' => 'files', 'field' => 'fid', 'handler' => 'views_handler_relationship', 'label' => t('File Reference.'), ), ); // hostname: The hostname which the file has been downloaded from. $data['filefield_stats']['hostname'] = array( 'title' => t('The Hostname'), 'help' => t('The hostname which the file has been downloaded from.'), 'field' => array( 'handler' => 'views_handler_field', 'click sortable' => TRUE, ), 'sort' => array( 'handler' => 'views_handler_sort', ), 'filter' => array( 'handler' => 'views_handler_filter_string', ), 'argument' => array( 'handler' => 'views_handler_argument_string', ), ); // referer: The referer address which the file download link has been triggered from. $data['filefield_stats']['referer'] = array( 'title' => t('The Referer'), 'help' => t('The referer which the file download link has been triggered from.'), 'field' => array( 'handler' => 'views_handler_field', 'click sortable' => TRUE, ), 'sort' => array( 'handler' => 'views_handler_sort', ), 'filter' => array( 'handler' => 'views_handler_filter_string', ), 'argument' => array( 'handler' => 'views_handler_argument_string', ), ); // timestamp: The time of the download. $data['filefield_stats']['timestamp'] = array( 'title' => t('Download Time'), 'help' => t('The time of the download.'), 'field' => array( 'handler' => 'views_handler_field_date', 'click sortable' => TRUE, ), 'sort' => array( 'handler' => 'views_handler_sort_date', ), 'filter' => array( 'handler' => 'views_handler_filter_date', ), ); return $data; } // filefield_stats_views_data() ?> According to the Views2 documentations this should work as a minimum, I think. But it doesn't! Also there is no error of any kind, when I come through the views UI, there's nothing about filefield_stats data. Any idea?

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  • Python Image Library: How to combine 4 images into a 2 x 2 grid?

    - by Casey
    I have 4 directories with images for an animation. I would like to take the set of images and generate a single image with the 4 images arranged into a 2x2 grid for each frame of the animation. My code so far is: import Image fluid64 = "Fluid64_half_size/00" fluid128 = "Fluid128_half_size/00" fluid512 = "Fluid512_half_size/00" fluid1024 = "Fluid1024_half_size/00" out_image = "Fluid_all/00" for pic in range(1, 26): blank_image = Image.open("blank.jpg") if pic < 10: image_num = "0"+str(pic) else: image_num = str(pic) image64 = Image.open(fluid64+image_num+".jpg") image128 = Image.open(fluid128+image_num+".jpg") image512 = Image.open(fluid512+image_num+".jpg") image1024 = Image.open(fluid1024+image_num+".jpg") out = out_image + image_num + ".jpg" blank_image.paste(image64, (0,0)).paste(fluid128, (400,0)).paste(fluid512, (0,300)).paste(fluid1024, (400,300)).save(out) Not sure why it's not working. I'm getting the error: Traceback (most recent call last): File "C:\Users\Casey\Desktop\Image_composite.py", line 24, in <module> blank_image.paste(image64, (0,0)).paste(fluid128, (400,0)).paste(fluid512, ( ste(fluid1024, (400,300)).save(out) AttributeError: 'NoneType' object has no attribute 'paste' shell returned 1 Any help would be awesome. Thanks!

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  • Powershell Remoting: using imported module cmdlets in a remote pssession

    - by Joanthan Matheus
    Is there a way to use modules that were imported in a local session in a remote session? I looked at import-pssession, but I don't know how to get the local session. Here's a sample of what I want to do. import-module .\MyModule\MyModule.ps1 $session = new-pssession -computerName RemoteComputer invoke-command -session $session -scriptblock { Use-CmdletFromMyModule } Also, I do not want to import-module in the remote session, as the ps1 files are not on that server.

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  • How do I compile a module in User Mode Linux

    - by Zach
    Having a tough time compiling a module for User Mode Linux. I just need a basic way to compile a very basic module in user mode linux and cannot seem to get it to work. I checked out the how-to on sourceforge for UML but had no luck. Anyone have a working example of what it takes? Thanks!

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