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  • Linker Error : Statically Linking of Boost Serialization Library

    - by Manikanda raj S
    I'm trying to link the Boost Serialization Library to my Code. But it doesn't seem to be working. g++ serialize.cpp -L"/usr/local/lib/libboost_serialization.a" Error : /tmp/ccw7eX4A.o: In function boost::archive::text_oarchive::text_oarchive(std::basic_ostream<char, std::char_traits<char> >&, unsigned int)': serializep.cpp:(.text._ZN5boost7archive13text_oarchiveC2ERSoj[_ZN5boost7archive13text_oarchiveC5ERSoj]+0x25): undefined reference toboost::archive::text_oarchive_impl::text_oarchive_impl(std::basic_ostream &, unsigned int)' .......... collect2: ld returned 1 exit status But when i link as a shared library, g++ serialize.cpp -lboost_serialization , it works fine. What am i missing here P.S : Other StackOverflow posts with the same question has no answers that work for the above error

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  • Writing a C++ wrapper for a C library

    - by stripes
    I have a legacy C library, written in an OO type form. Typical functions are like: LIB *lib_new(); void lib_free(LIB *lib); int lib_add_option(LIB *lib, int flags); void lib_change_name(LIB *lib, char *name); I'd like to use this library in my C++ program, so I'm thinking a C++ wrapper is required. The above would all seem to map to something like: class LIB { public: LIB(); ~LIB(); int add_option(int flags); void change_name(char *name); ... }; I've never written a C++ wrapper round C before, and can't find much advice about it. Is this a good/typical/sensible approach to creating a C++/C wrapper?

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  • Building an interleaved buffer for pyopengl and numpy

    - by Nick Sonneveld
    I'm trying to batch up a bunch of vertices and texture coords in an interleaved array before sending it to pyOpengl's glInterleavedArrays/glDrawArrays. The only problem is that I'm unable to find a suitably fast enough way to append data into a numpy array. Is there a better way to do this? I would have thought it would be quicker to preallocate the array and then fill it with data but instead, generating a python list and converting it to a numpy array is "faster". Although 15ms for 4096 quads seems slow. I have included some example code and their timings. #!/usr/bin/python import timeit import numpy import ctypes import random USE_RANDOM=True USE_STATIC_BUFFER=True STATIC_BUFFER = numpy.empty(4096*20, dtype=numpy.float32) def render(i): # pretend these are different each time if USE_RANDOM: tex_left, tex_right, tex_top, tex_bottom = random.random(), random.random(), random.random(), random.random() left, right, top, bottom = random.random(), random.random(), random.random(), random.random() else: tex_left, tex_right, tex_top, tex_bottom = 0.0, 1.0, 1.0, 0.0 left, right, top, bottom = -1.0, 1.0, 1.0, -1.0 ibuffer = ( tex_left, tex_bottom, left, bottom, 0.0, # Lower left corner tex_right, tex_bottom, right, bottom, 0.0, # Lower right corner tex_right, tex_top, right, top, 0.0, # Upper right corner tex_left, tex_top, left, top, 0.0, # upper left ) return ibuffer # create python list.. convert to numpy array at end def create_array_1(): ibuffer = [] for x in xrange(4096): data = render(x) ibuffer += data ibuffer = numpy.array(ibuffer, dtype=numpy.float32) return ibuffer # numpy.array, placing individually by index def create_array_2(): if USE_STATIC_BUFFER: ibuffer = STATIC_BUFFER else: ibuffer = numpy.empty(4096*20, dtype=numpy.float32) index = 0 for x in xrange(4096): data = render(x) for v in data: ibuffer[index] = v index += 1 return ibuffer # using slicing def create_array_3(): if USE_STATIC_BUFFER: ibuffer = STATIC_BUFFER else: ibuffer = numpy.empty(4096*20, dtype=numpy.float32) index = 0 for x in xrange(4096): data = render(x) ibuffer[index:index+20] = data index += 20 return ibuffer # using numpy.concat on a list of ibuffers def create_array_4(): ibuffer_concat = [] for x in xrange(4096): data = render(x) # converting makes a diff! data = numpy.array(data, dtype=numpy.float32) ibuffer_concat.append(data) return numpy.concatenate(ibuffer_concat) # using numpy array.put def create_array_5(): if USE_STATIC_BUFFER: ibuffer = STATIC_BUFFER else: ibuffer = numpy.empty(4096*20, dtype=numpy.float32) index = 0 for x in xrange(4096): data = render(x) ibuffer.put( xrange(index, index+20), data) index += 20 return ibuffer # using ctype array CTYPES_ARRAY = ctypes.c_float*(4096*20) def create_array_6(): ibuffer = [] for x in xrange(4096): data = render(x) ibuffer += data ibuffer = CTYPES_ARRAY(*ibuffer) return ibuffer def equals(a, b): for i,v in enumerate(a): if b[i] != v: return False return True if __name__ == "__main__": number = 100 # if random, don't try and compare arrays if not USE_RANDOM and not USE_STATIC_BUFFER: a = create_array_1() assert equals( a, create_array_2() ) assert equals( a, create_array_3() ) assert equals( a, create_array_4() ) assert equals( a, create_array_5() ) assert equals( a, create_array_6() ) t = timeit.Timer( "testing2.create_array_1()", "import testing2" ) print 'from list:', t.timeit(number)/number*1000.0, 'ms' t = timeit.Timer( "testing2.create_array_2()", "import testing2" ) print 'array: indexed:', t.timeit(number)/number*1000.0, 'ms' t = timeit.Timer( "testing2.create_array_3()", "import testing2" ) print 'array: slicing:', t.timeit(number)/number*1000.0, 'ms' t = timeit.Timer( "testing2.create_array_4()", "import testing2" ) print 'array: concat:', t.timeit(number)/number*1000.0, 'ms' t = timeit.Timer( "testing2.create_array_5()", "import testing2" ) print 'array: put:', t.timeit(number)/number*1000.0, 'ms' t = timeit.Timer( "testing2.create_array_6()", "import testing2" ) print 'ctypes float array:', t.timeit(number)/number*1000.0, 'ms' Timings using random numbers: $ python testing2.py from list: 15.0486779213 ms array: indexed: 24.8184704781 ms array: slicing: 50.2214789391 ms array: concat: 44.1691994667 ms array: put: 73.5879898071 ms ctypes float array: 20.6674289703 ms edit note: changed code to produce random numbers for each render to reduce object reuse and to simulate different vertices each time. edit note2: added static buffer and force all numpy.empty() to use dtype=float32 note 1/Apr/2010: still no progress and I don't really feel that any of the answers have solved the problem yet.

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  • Psychology researcher wants to learn new language

    - by user273347
    I'm currently considering R, matlab, or python, but I'm open to other options. Could you help me pick the best language for my needs? Here are the criteria I have in mind (not in order): Simple to learn. I don't really have a lot of free time, so I'm looking for something that isn't extremely complicated and/or difficult to pick up. I know some C, FWIW. Good for statistics/psychometrics. I do a ton of statistics and psychometrics analysis. A lot of it is basic stuff that I can do with SPSS, but I'd like to play around with the more advanced stuff too (bootstrapping, genetic programming, data mining, neural nets, modeling, etc). I'm looking for a language/environment that can help me run my simpler analyses faster and give me more options than a canned stat package like SPSS. If it can even make tables for me, then it'll be perfect. I also do a fair bit of experimental psychology. I use a canned experiment "programming" software (SuperLab) to make most of my experiments, but I want to be able to program executable programs that I can run on any computer and that can compile the data from the experiments in a spreadsheet. I know python has psychopy and pyepl and matlab has psychtoolbox, but I don't know which one is best. If R had something like this, I'd probably be sold on R already. I'm looking for something regularly used in academe and industry. Everybody else here (including myself, so far) uses canned stat and experiment programming software. One of the reasons I'm trying to learn a programming language is so that I can keep up when I move to another lab. Looking forward to your comments and suggestions. Thank you all for your kind and informative replies. I appreciate it. It's still a tough choice because of so many strong arguments for each language. Python - Thinking about it, I've forgotten so much about C already (I don't even remember what to do with an array) that it might be better for me to start from scratch with a simple program that does what it's supposed to do. It looks like it can do most of the things I'll need it to do, though not as cleanly as R and MATLAB. R - I'm really liking what I'm reading about R. The packages are perfect for my statistical work now. Given the purpose of R, I don't think it's suited to building psychological experiments though. To clarify, what I mean is making a program that presents visual and auditory stimuli to my specifications (hundreds of them in a preset and/or randomized sequence) and records the response data gathered from participants. MATLAB - It's awesome that cognitive and neuro folk are recommending MATLAB, because I'm preparing for the big leap from social and personality psychology to cognitive neuro. The problem is the Uni where I work doesn't have MATLAB licenses (and 3750 GBP for a compiler license is not an option for me haha). Octave looks like a good alternative. PsychToolbox is compatible with Octave, thankfully. SQL - Thanks for the tip. I'll explore that option, too. Python will be the least backbreaking and most useful in the short term. R is well suited to my current work. MATLAB is well suited to my prospective work. It's a tough call, but I think I am now equipped to make a more well-informed decision about where to go next. Thanks again!

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  • C# / IronPython Interop with shared C# Class Library

    - by Adam Haile
    I'm trying to use IronPython as an intermediary between a C# GUI and some C# libraries, so that it can be scripted post compile time. I have a Class library DLL that is used by both the GUI and the python and is something along the lines of this: namespace MyLib { public class MyClass { public string Name { get; set; } public MyClass(string name) { this.Name = name; } } } The IronPython code is as follows: import clr clr.AddReferenceToFile(r"MyLib.dll") from MyLib import MyClass ReturnObject = MyClass("Test") Then, in C# I would call it as follows: ScriptEngine engine = Python.CreateEngine(); ScriptScope scope = null; scope = engine.CreateScope(); ScriptSource source = engine.CreateScriptSourceFromFile("Script.py"); source.Execute(scope); MyClass mc = scope.GetVariable<MyClass>("ReturnObject ") When I call this last bit of code, source.Execute(scope) runs returns successfully, but when I try the GetVariable call, it throw the following exception Microsoft.Scripting.ArgumentTypeException: expected MyClass , got MyClass So, you can see that the class names are exactly the same, but for some reason it thinks they are different. The DLL is in a different directory than the .py file (I just didn't bother to write out all the path setup stuff), could it be that there is an issue with the interpreter for IronPython seeing these objects as difference because it's somehow seeing them as being in a different context or scope?

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  • Using FFmpeg in c#?

    - by daniel
    So i know its a fairly big challenge but i want to write a basic movie player/converter in c# using the FFmpeg library. However the first obstacle i need to overcome is wrapping the FFmpeg library in c#. I downloaded ffmpeg but couldn't compile it on windows, so i downloaded a precompiled version for me. Ok awesome. Then i started looking for c# wrappers. I have looked around and have found a few wrappers such as SharpFFmpeg (http://sourceforge.net/projects/sharpffmpeg/) and ffmpeg-sharp (http://code.google.com/p/ffmpeg-sharp/). First of all i wanted to use ffmpeg-sharp as its LGPL and SharpFFmpeg is GPL. However it had quite a few compile errors. Turns out it was written for the mono compiler, i tried compiling it with mon but couldn't figure out how. I then started to manually fix the compiler errors myself, but came across a few scary ones and thought i'd better leave those alone. So i gave up on ffmpeg-sharp. Then i looked at SharpFFmpeg and it looks like what i want, all the functions P/Invoked for me. However its GPL? Both the AVCodec.cs and AVFormat.cs files look like ports of avcodec.c and avformat.c which i reckon i could port myself? Then not have to worry about licencing. But i wan't to get this right before i go ahead and start coding. Should I: Write my own c++ library for interacting with ffmpeg, then have my c# program talk to the c++ library in order to play/convert videos etc. OR Port avcodec.h and avformat.h (is that all i need?) to c# by using a whole lot of DllImports and write it entirely in c#? First of all consider that i'm not great at c++ as i rarely use it but i know enough to get around. The reason i'm thinking #1 might be the better option is that most FFmpeg tutorials are in c++ and i'd also have more control over memory management that if i was to do it in c#. What do you think? Also would you happen to have any usefull links (perhaps a tutorial) for using FFmpeg? EDIT: spelling mistakes

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  • Using FFmpeg in .net?

    - by daniel
    So i know its a fairly big challenge but i want to write a basic movie player/converter in c# using the FFmpeg library. However the first obstacle i need to overcome is wrapping the FFmpeg library in c#. I downloaded ffmpeg but couldn't compile it on windows, so i downloaded a precompiled version for me. Ok awesome. Then i started looking for c# wrappers. I have looked around and have found a few wrappers such as SharpFFmpeg (http://sourceforge.net/projects/sharpffmpeg/) and ffmpeg-sharp (http://code.google.com/p/ffmpeg-sharp/). First of all i wanted to use ffmpeg-sharp as its LGPL and SharpFFmpeg is GPL. However it had quite a few compile errors. Turns out it was written for the mono compiler, i tried compiling it with mon but couldn't figure out how. I then started to manually fix the compiler errors myself, but came across a few scary ones and thought i'd better leave those alone. So i gave up on ffmpeg-sharp. Then i looked at SharpFFmpeg and it looks like what i want, all the functions P/Invoked for me. However its GPL? Both the AVCodec.cs and AVFormat.cs files look like ports of avcodec.c and avformat.c which i reckon i could port myself? Then not have to worry about licencing. But i wan't to get this right before i go ahead and start coding. Should I: Write my own c++ library for interacting with ffmpeg, then have my c# program talk to the c++ library in order to play/convert videos etc. OR Port avcodec.h and avformat.h (is that all i need?) to c# by using a whole lot of DllImports and write it entirely in c#? First of all consider that i'm not great at c++ as i rarely use it but i know enough to get around. The reason i'm thinking #1 might be the better option is that most FFmpeg tutorials are in c++ and i'd also have more control over memory management than if i was to do it in c#. What do you think? Also would you happen to have any usefull links (perhaps a tutorial) for using FFmpeg? EDIT: spelling mistakes

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  • MacPorts manual port location

    - by gok
    I am installing one library for python from MacPorts. But macports version is older than actual development svn version. Is it possible to specify a custom location for installation in MacPorts so I could install latest library from the developer's site?

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  • Sending email from an web2py on GAE

    - by Steve
    I am trying to send a mail from my web2py app hosted on GoogleAppEngine. But it is not working. I used the mail function that was given with the web2py. Does anybody how to do this? I read in the GAE Documentation that python mail library would not work with GAE and GAE mail library has to be used. Does it also applies to web2py mail? Thanks

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  • dns_sd.h not found in windows

    - by sneha
    Hello everyone,I am doing a qt application for bonjour advertising..so i need to use dns_sd library for that.can anyone let me know where i can find that library or ddl or dns_sd.h file..when i compile my program i get an error "dns_sd.h no such file"(I am working under windows)

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  • Installing my sdist from PyPI puts the files in the wrong places

    - by Tartley
    Hey. My problem is that when I upload my Python package to PyPI, and then install it from there using pip, my app breaks because it installs my files into completely different locations than when I simply install the exact same package from a local sdist. Installing from the local sdist puts files on my system like this: /Python27/ Lib/ site-packages/ gloopy-0.1.alpha-py2.7.egg/ (egg and install info files) data/ (images and shader source) doc/ (html) examples/ (.py scripts that use the library) gloopy/ (source) This is much as I'd expect, and works fine (e.g. my source can find my data dir, because they lie next to each other, just like they do in development.) If I upload the same sdist to PyPI and then install it from there, using pip, then things look very different: /Python27/ data/ (images and shader source) doc/ (html) Lib/ site-packages/ gloopy-0.1.alpha-py2.7.egg/ (egg and install info files) gloopy/ (source files) examples/ (.py scripts that use the library) This doesn't work at all - my app can't find its data files, plus obviously it's a mess, polluting the top-level /python27 directory with all my junk. What am I doing wrong? How do I make the pip install behave like the local sdist install? Is that even what I should be trying to achieve? Details I have setuptools installed, and also distribute, and I'm calling distribute_setup.use_setuptools() WindowsXP, Python2.7. My development directory looks like this: /gloopy /data (image files and GLSL shader souce read at runtime) /doc (html files) /examples (some scripts to show off the library) /gloopy (the library itself) My MANIFEST.in mentions all the files I want to be included in the sdist, including everything in the data, examples and doc directories: recursive-include data *.* recursive-include examples *.py recursive-include doc/html *.html *.css *.js *.png include LICENSE.txt include TODO.txt My setup.py is quite verbose, but I guess the best thing is to include it here, right? I also includes duplicate references to the same data / doc / examples directories as are mentioned in the MANIFEST.in, because I understand this is required in order for these files to be copied from the sdist to the system during install. NAME = 'gloopy' VERSION= __import__(NAME).VERSION RELEASE = __import__(NAME).RELEASE SCRIPT = None CONSOLE = False def main(): import sys from pprint import pprint from setup_utils import distribute_setup from setup_utils.sdist_setup import get_sdist_config distribute_setup.use_setuptools() from setuptools import setup description, long_description = read_description() config = dict( name=name, version=version, description=description, long_description=long_description, keywords='', packages=find_packages(), data_files=[ ('examples', glob('examples/*.py')), ('data/shaders', glob('data/shaders/*.*')), ('doc', glob('doc/html/*.*')), ('doc/_images', glob('doc/html/_images/*.*')), ('doc/_modules', glob('doc/html/_modules/*.*')), ('doc/_modules/gloopy', glob('doc/html/_modules/gloopy/*.*')), ('doc/_modules/gloopy/geom', glob('doc/html/_modules/gloopy/geom/*.*')), ('doc/_modules/gloopy/move', glob('doc/html/_modules/gloopy/move/*.*')), ('doc/_modules/gloopy/shapes', glob('doc/html/_modules/gloopy/shapes/*.*')), ('doc/_modules/gloopy/util', glob('doc/html/_modules/gloopy/util/*.*')), ('doc/_modules/gloopy/view', glob('doc/html/_modules/gloopy/view/*.*')), ('doc/_static', glob('doc/html/_static/*.*')), ('doc/_api', glob('doc/html/_api/*.*')), ], classifiers=[ 'Development Status :: 1 - Planning', 'Intended Audience :: Developers', 'License :: OSI Approved :: BSD License', 'Operating System :: Microsoft :: Windows', 'Programming Language :: Python :: 2.7', ], # see classifiers http://pypi.python.org/pypi?:action=list_classifiers ) config.update(dict( author='Jonathan Hartley', author_email='[email protected]', url='http://bitbucket.org/tartley/gloopy', license='New BSD', ) ) if '--verbose' in sys.argv: pprint(config) setup(**config) if __name__ == '__main__': main()

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  • ctypes for static libraries?

    - by Begbie00
    Hi all - I'm attempting to write a Python wrapper for poker-eval, a c static library. All the documentation I can find on ctypes indicates that it works on shared/dynamic libraries. Is there a ctypes for static libraries? I know about cython, but should I use that or recompile the poker-eval into a dynamic library so that I can use ctypes? Thanks, Mike

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  • Public free web services for testing soap client

    - by bhadra
    Are there any publicly available SOAP 1.2/WSDL 2.0 compliant free web services for testing a Python based soap client library (e.g. Zolera SOAP Infrastructure)? So far, it appears to me that Google Web API may be the only option. Otherwise, how can one test a SOAP 1.2 compliant client library?

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  • AESlibrary only two lines

    - by user303968
    Does anyone know a c++ library that uses advanced encryption standard encryption that can achieve encryption and decryption (using counter mode) in just two lines of codes. No need of padding or buffering the plaintexts the library will take care of all this. I have had a look at crypto++, openssl and libtomcrypt but in these it seems I need to write codes to buffer and pad the plaintexts which I don't want. In brief, I need something along these lines: ciphertext = encrypt(ctr_mode(),plaintext,key) plaintext = decrypt(ctr_mode(),ciphertext,key) Thanks!

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  • Loading c libraries from php

    - by Thomas Ahle
    Hi, in a recent project I've come really need the lib tre matching library. However the project is in php, and there are no php bindings for the library. I've tried to google how to create an interface for c libs, but all I found was the dl function which seams to load only php extensions. What am I missing?

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  • Best open source C# libaries?

    - by Alon
    There are great .NET libraries and components. What is, for your opinion the most useful, effective, well wrriten open source C# library you've ever seen? Mines, is the great Html Agility Pack. Please post one library per answer.

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