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  • boost::program_options bug or feature?

    - by Dmitriy
    Very simple example: #include <string> #include <boost/program_options.hpp> namespace po = boost::program_options; int main(int argc, char* argv[]) { po::options_description recipients("Recipient(s)"); recipients.add_options() ("csv", po::value<std::string>(), "" ) ("csv_name", po::value<unsigned>(), "" ) ; po::options_description cmdline_options; cmdline_options.add(recipients); po::variables_map vm; po::store(po::command_line_parser(argc, argv).options(cmdline_options).run(), vm); po::notify(vm); return 0; } And some tests: >Test --csv test in option 'csv_name': invalid option value >Test --csv_name test in option 'csv_name': invalid option value >Test --csv_name 0 >Test --csv text in option 'csv_name': invalid option value >Test --csv 0 >Test --csv_name 0 >Test --csv_name 0 --csv text multiple occurrences Looks like that boost::program_option threats parameter "csv" as "csv_name". Is it a feature or bug?

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  • Reading from serial port with Boost Asio?

    - by trikri
    Hi! I'm going to check for incoming messages (data packages) on the serial port, using Boost Asio. Each message will start with a header that is one byte long, and will specify which type of the message has been sent. Each different type of message has an own length. The function I'm about to write should check for new incoming messages continually, and when it finds one it should read it, and then some other function should parse it. I thought that the code might look something like this: void check_for_incoming_messages() { boost::asio::streambuf response; boost::system::error_code error; std::string s1, s2; if (boost::asio::read(port, response, boost::asio::transfer_at_least(0), error)) { s1 = streambuf_to_string(response); int msg_code = s1[0]; if (msg_code < 0 || msg_code >= NUM_MESSAGES) { // Handle error, invalid message header } if (boost::asio::read(port, response, boost::asio::transfer_at_least(message_lengths[msg_code]-s1.length()), error)) { s2 = streambuf_to_string(response); // Handle the content of s1 and s2 } else if (error != boost::asio::error::eof) { throw boost::system::system_error(error); } } else if (error != boost::asio::error::eof) { throw boost::system::system_error(error); } } Is boost::asio::streambuf is the right thing to use? And how do I extract the data from it so I can parse the message? I also want to know if I need to have a separate thread which only calls this function, so that it get called more often? Isn't there a risk for loosing data in between two calls to the function otherwise, because so much data comes in that it can't be stored in the serial ports memory? I'm using Qt as a widget toolkit and I don't really know how long time it needs to process all it's events.

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  • Boost::Thread linking error on OSX?

    - by gct
    So I'm going nuts trying to figure this one out. Here's my basic setup: I'm compiling a shared library with a bunch of core functionality that uses a lot of boost stuff. We'll call this library libpf_core.so. It's linked with the boost static libraries, specifically the python, system, filesystem, thread, and program_options libraries. This all goes swimmingly. Now, I have a little test program called test_socketio which is compiled into a shared library (it's loaded as a plugin at runtime). It uses some boost stuff like boost::bind and boost::thread, and it's linked again libpf_core.so (which has the boost libraries included remember). When I go to compile test_socketio though, out of all my plugins it gives me a linking error: [ Building test_socketio ] g++ -c -pg -g -O0 -I/usr/local/include -I../include test_socketio.cc -o test_socketio.o g++ -shared test_socketio.o -lpy_core -o test_socketio.so Undefined symbols: "boost::lock_error::lock_error()", referenced from: boost::unique_lock<boost::mutex>::lock() in test_socketio.o ld: symbol(s) not found collect2: ld returned 1 exit status And I'm going crazy trying to figure out why this is. I've tried explicitly linking boost::thread into the plugin to no avail, tried ensuring that I'm using the boost headers associated with the libraries linked into libpf_core.so in case there was a conflict there. Is there something OSX specific regarding boost that I'm missing? In my searching on google I've seen a number of other people get this error but no one seems to have come up with a satisfactory solution.

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  • Why is Python slower than Java but faster than PHP

    - by good_computer
    I have many times seen various benchmarks that show how a bunch of languages perform on a given task. Always these benchmarks reveal that Python is slower then Java and faster than PHP. And I wonder why is that the case. Java, Python, and PHP run inside a virtual machine All three languages convert their programs into their custom byte codes that run on top of OS -- so none is running natively Both Java and Python can be "complied" (.pyc for Python) but the __main__ module for Python is not compiled Python and PHP are dynamically typed and Java statically -- is this the reason Java is faster, and if so, please explain how that affects speed. And, even if the dynamic-vs-static argument is correct, this does not explain why PHP is slower than Python -- because both are dynamic languages. You can see some benchmarks here and here, and here

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  • boost::serialization with mutable members

    - by redmoskito
    Using boost::serialization, what's the "best" way to serialize an object that contains cached, derived values in mutable members, such that cached members aren't serialized, but on deserialization, they are initialized the their appropriate default. A definition of "best" follows later, but first an example: class Example { public: Example(float n) : num(n), sqrt_num(-1.0) {} float get_num() const { return num; } // compute and cache sqrt on first read float get_sqrt() const { if(sqrt_num < 0) sqrt_num = sqrt(num); return sqrt_num; } template <class Archive> void serialize(Archive& ar, unsigned int version) { ... } private: float num; mutable float sqrt_num; }; On serialization, only the "num" member should be saved. On deserialization, the sqrt_num member must be initialized to its sentinel value indicating it needs to be computed. What is the most elegant way to implement this? In my mind, an elegant solution would avoid splitting serialize() into separate save() and load() methods (which introduces maintenance problems). One possible implementation of serialize: template <class Archive> void serialize(Archive& ar, unsigned int version) { ar & num; sqrt_num = -1.0; } This handles the deserialization case, but in the serialization case, the cached value is killed and must be recomputed. Also, I've never seen an example of boost::serialize that explicitly sets members inside of serialize(), so I wonder if this is generally not recommended. Some might suggest that the default constructor handles this, for example: int main() { Example e; { std::ifstream ifs("filename"); boost::archive::text_iarchive ia(ifs); ia >> e; } cout << e.get_sqrt() << endl; return 0; } which works in this case, but I think fails if the object receiving the deserialized data has already been initialized, as in the example below: int main() { Example ex1(4); Example ex2(9); cout << ex1.get_sqrt() << endl; // outputs 2; cout << ex2.get_sqrt() << endl; // outputs 3; // the following two blocks should implement ex2 = ex1; // save ex1 to archive { std::ofstream ofs("filename"); boost::archive::text_oarchive oa(ofs); oa << ex1; } // read it back into ex2 { std::ifstream ifs("filename"); boost::archive::text_iarchive ia(ifs); ia >> ex2; } // these should be equal now, but aren't, // since Example::serialize() doesn't modify num_sqrt cout << ex1.get_sqrt() << endl; // outputs 2; cout << ex2.get_sqrt() << endl; // outputs 3; return 0; } I'm sure this issue has come up with others, but I have struggled to find any documentation on this particular scenario. Thanks!

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  • Why doesn't Python have a "flatten" function for lists?

    - by Hubro
    Erlang and Ruby both come with functions for flattening arrays. It seems like such a simple and useful tool to add to a language. One could do this: >>> mess = [[1, [2]], 3, [[[4, 5]], 6]] >>> mess.flatten() [1, 2, 3, 4, 5, 6] Or even: >>> import itertools >>> mess = [[1, [2]], 3, [[[4, 5]], 6]] >>> list(itertools.flatten(mess)) [1, 2, 3, 4, 5, 6] Instead, in Python, one has to go through the trouble of writing a function for flattening arrays from scratch. This seems silly to me, flattening arrays is such a common thing to do. It's like having to write a custom function for concatenating two arrays. I have Googled this fruitlessly, so I'm asking here; is there a particular reason why a mature language like Python 3, which comes with a hundred thousand various batteries included, doesn't provide a simple method of flattening arrays? Has the idea of including such a function been discussed and rejected at some point?

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  • Python ImportError when executing 'import.py', but not when executing 'python import.py'

    - by Martin Del Vecchio
    I am running Cygwin Python version 2.5.2. I have a three-line source file, called import.py: #!/usr/bin/python import xml.etree.ElementTree as ET print "Success!" When I execute "python import.py", it works: C:\Temp>python import.py Success! When I run the python interpreter and type the commands, it works: C:\Temp>python Python 2.5.2 (r252:60911, Dec 2 2008, 09:26:14) [GCC 3.4.4 (cygming special, gdc 0.12, using dmd 0.125)] on cygwin Type "help", "copyright", "credits" or "license" for more information. >>> #!/usr/bin/python ... import xml.etree.ElementTree as ET >>> print "Success!" Success! >>> But when I execute "import.py', it does not work: C:\Temp>which python /usr/bin/python C:\Temp>import.py Traceback (most recent call last): File "C:\Temp\import.py", line 2, in ? import xml.etree.ElementTree as ET ImportError: No module named etree.ElementTree When I remove the first line (#!/usr/bin/python), I get the same error. I need that line in there, though, for when this script runs on Linux. And it works fine on Linux. Any ideas? Thanks.

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  • Pass by reference in Boost::Python

    - by Fabzter
    Hi everybody. Consider something like: struct Parameter { int a; Parameter(){a = 0} void setA(int newA){a = newA;} }; struct MyClass { void changeParameter(Parameter &p){ p.setA(-1);} }; Well, let's fast forward, and imagine I already wrapped those classes, exposing everything to python, and imagine also I instantiate an object of Parameter in the C++ code, which I pass to the python script, and that python script uses a MyClass object to modify the instance of Parameter I created at the beginning in the C++ code. After that code executes, in C++ Parameter instance is unchanged!!! This means it was passed by value (or something alike :S), not by reference. But I thought I declared it to be passed by reference... I can't seem to find Boost::Python documentation about passing by reference (although there seems to be enough doc about returning by reference...). Can anyone give some hint or pointer please?

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  • Boost Serialization Library upgrade

    - by Konstantin
    Hello! How do I know that I can safely upgrade Boost Serialization Library on a production system without breaking compatibility with the existing data ? Is there any test that I should perform in order to be sure that all data stored in the binary format by previous version of the library will be successfully read by the new one ? Does Boost Serialization library itself guarantee some sort of compatibility between versions ?

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  • Simplest way to get current time in current timezone using boost::date_time ?

    - by timday
    If I do date +%H-%M-%S on the commandline (Debian/Lenny), I get a user-friendly (not UTC, not DST-less, the time a normal person has on their wristwatch) time printed. What's the simplest way to obtain the same thing with boost::date_time ? If I do this: std::ostringstream msg; boost::local_time::local_date_time t = boost::local_time::local_sec_clock::local_time( boost::local_time::time_zone_ptr() ); boost::local_time::local_time_facet* lf( new boost::local_time::local_time_facet("%H-%M-%S") ); msg.imbue(std::locale(msg.getloc(),lf)); msg << t; Then msg.str() is an hour earlier than the time I want to see. I'm not sure whether this is because it's showing UTC or local timezone time without a DST correction (I'm in the UK). What's the simplest way to modify the above to yield the DST corrected local timezone time ? I have an idea it involves boost::date_time:: c_local_adjustor but can't figure it out from the examples.

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  • error installing python wrapper for openkinect

    - by auraham
    I tried to install python wrappers for OpenKinect on Ubuntu 12.04, but I can't due this error: $ sudo apt-get install python2.7-dev python2.7-dev : Depends: libexpat1-dev but it is not going to be installed Depends: libssl-dev but it is not going to be installed E: Unable to correct problems, you have held broken packages. Python wrapper requires these dependencies: Cython python-dev (error above) python-numpy how can I install python-dev?

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  • calling a different python interpreter from bash command line

    - by Dennis Daniels
    I have python 2.7 installed [user@localhost google_appengine]$ python Python 2.7 (r27:82500, Sep 16 2010, 18:03:06) [GCC 4.5.1 20100907 (Red Hat 4.5.1-3)] on linux2 Type "help", "copyright", "credits" or "license" for more information. I want to use the python 2.5.2 that is in this directory [user@localhost Downloads]$ ls |grep "Python-2*" Python-2.5.2 Python-2.5.2.tgz to run a python script in Khan Academy platform against a google app engine application sudo python sample_data.py -a ~/workspace/GAE/google_appengine/appcfg.py upload Currently, when running the last script 2.7 python complains a lot (Google App Engine runs on 2.5.2 mostly and 2.6 almost) I would like to do something like sudo python env set ~/Downloads/Python-2.5.2 sample_data.py -a ~/workspace/GAE/google_appengine/appcfg.py upload Is this possible? If yes, please point the way. If not, please suggest a way to call python2.5.2 WITHOUT having to uninstall python 2.7 many many thanks Dennis

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  • CentOS (rel6) with default python 2.6, but seperate 3.3.5 installation

    - by Silvertiger
    I have a CentOS server (rel6) that had python installed (2.6), but I needed a few features in 3.3+. I installed 3.3 into a seperate folder and made a symbolic link to execute it: I installed setup tools: yum install python-setuptools I installed a needed module"pandas" easy_install pandas I executed my pyton script, which encountered an error that required i use a newer version I downloaded and installed Python 3.3.5 to it's own folder so as to not override my default python wget http://www.python.org/ftp/python/3.3.5/Python-3.3.5.tar.xz tar xJf ./Python-3.3.5.tar.xz cd ./Python-3.3.5 ./configure --prefix=/opt/python make make install Made s symbolic link to allow me to execute this new python: ln -s /opt/python3.3/bin/python3.3 ~/bin/py The problem is that when I execute the python script with my new py alias, it does not have all the addons needed (explicitly MySQLdb) which the default install does. How do i go about installing the MySQLdb module, or any for that matter, to be reachable or useable for the new Python 3.3.5 installation? Or is there a way to make the current modules in 2.6 available to 3.3.5 as well?

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  • Parsing string, with Boost Spirit 2, to fill data in user defined struct

    - by Surya
    I'm using Boost.Spirit which was distributed with Boost-1.42.0 with VS2005. My problem is like this. I've this string which was delimted with commas. The first 3 fields of it are strings and rest are numbers. like this. String1,String2,String3,12.0,12.1,13.0,13.1,12.4 My rule is like this qi::rule<string::iterator, qi::skip_type> stringrule = *(char_ - ',') qi::rule<string::iterator, qi::skip_type> myrule= repeat(3)[*(char_ - ',') >> ','] >> (double_ % ',') ; I'm trying to store the data in a structure like this. struct MyStruct { vector<string> stringVector ; vector<double> doubleVector ; } ; MyStruct var ; I've wrapped it in BOOST_FUSION_ADAPT_STRUCTURE to use it with spirit. BOOST_FUSION_ADAPT_STRUCT (MyStruct, (vector<string>, stringVector) (vector<double>, doubleVector)) My parse function parses the line and returns true and after qi::phrase_parse (iterBegin, iterEnd, myrule, boost::spirit::ascii::space, var) ; I'm expecting var.stringVector and var.doubleVector are properly filled. but it is not the case. What is going wrong ? Thanks in advance, Surya

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  • Cann Boost Program_options separate comma separated argument values

    - by lrm
    If my command line is: > prog --mylist=a,b,c Can Boost's program_options be setup to see three distinct argument values for the mylist argument? I have configured program_options as: namespace po = boost::program_options; po::options_description opts("blah") opts.add_options() ("mylist", std::vector<std::string>>()->multitoken, "description"); po::variables_map vm; po::store(po::parse_command_line(argc, argv, opts), vm); po::notify(vm); When I check the value of the mylist argument, I see one value as a,b,c. I'd like to see three distinct values, split on comma. This works fine if I specify the command line as: > prog --mylist=a b c or > prog --mylist=a --mylist=b --mylist=c Is there a way to configure program_options so that it sees a,b,c as three values that should each be inserted into the vector, rather than one? I am using boost 1.41, g++ 4.5.0 20100520, and have enabled c++0x experimental extensions.

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  • Thread-safty of boost RNG

    - by Maciej Piechotka
    I have a loop which should be nicely pararellized by insering one openmp pragma: boost::normal_distribution<double> ddist(0, pow(retention, i - 1)); boost::variate_generator<gen &, BOOST_TYPEOF(ddist)> dgen(rng, ddist); // Diamond const std::uint_fast32_t dno = 1 << i - 1; // #pragma omp parallel for for (std::uint_fast32_t x = 0; x < dno; x++) for (std::uint_fast32_t y = 0; y < dno; y++) { const std::uint_fast32_t diff = size/dno; const std::uint_fast32_t x1 = x*diff, x2 = (x + 1)*diff; const std::uint_fast32_t y1 = y*diff, y2 = (y + 1)*diff; double avg = (arr[x1][y1] + arr[x1][y2] + arr[x2][y1] + arr[x2][y2])/4; arr[(x1 + x2)/2][(y1 + y2)/2] = avg + dgen(); } (unless I make an error each execution does not depend on others at all. Sorry that not all of code is inserted). However my question is - are boost RNG thread-safe? They seems to refer to gcc code for gcc so even if gcc code is thread-safe it may not be the case for other platforms.

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  • Problem with Boost::Asio for C++

    - by Martin Lauridsen
    Hi there, For my bachelors thesis, I am implementing a distributed version of an algorithm for factoring large integers (finding the prime factorisation). This has applications in e.g. security of the RSA cryptosystem. My vision is, that clients (linux or windows) will download an application and compute some numbers (these are independant, thus suited for parallelization). The numbers (not found very often), will be sent to a master server, to collect these numbers. Once enough numbers have been collected by the master server, it will do the rest of the computation, which cannot be easily parallelized. Anyhow, to the technicalities. I was thinking to use Boost::Asio to do a socket client/server implementation, for the clients communication with the master server. Since I want to compile for both linux and windows, I thought windows would be as good a place to start as any. So I downloaded the Boost library and compiled it, as it said on the Boost Getting Started page: bootstrap .\bjam It all compiled just fine. Then I try to compile one of the tutorial examples, client.cpp, from Asio, found (here.. edit: cant post link because of restrictions). I am using the Visual C++ compiler from Microsoft Visual Studio 2008, like this: cl /EHsc /I D:\Downloads\boost_1_42_0 client.cpp But I get this error: /out:client.exe client.obj LINK : fatal error LNK1104: cannot open file 'libboost_system-vc90-mt-s-1_42.lib' Anyone have any idea what could be wrong, or how I could move forward? I have been trying pretty much all week, to get a simple client/server socket program for c++ working, but with no luck. Serious frustration kicking in. Thank you in advance.

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  • Can Boost Program_options separate comma separated argument values

    - by lrm
    If my command line is: > prog --mylist=a,b,c Can Boost's program_options be setup to see three distinct argument values for the mylist argument? I have configured program_options as: namespace po = boost::program_options; po::options_description opts("blah") opts.add_options() ("mylist", std::vector<std::string>>()->multitoken, "description"); po::variables_map vm; po::store(po::parse_command_line(argc, argv, opts), vm); po::notify(vm); When I check the value of the mylist argument, I see one value as a,b,c. I'd like to see three distinct values, split on comma. This works fine if I specify the command line as: > prog --mylist=a b c or > prog --mylist=a --mylist=b --mylist=c Is there a way to configure program_options so that it sees a,b,c as three values that should each be inserted into the vector, rather than one? I am using boost 1.41, g++ 4.5.0 20100520, and have enabled c++0x experimental extensions.

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  • Application Development: Python or Java (or PHP)

    - by luckysmack
    I'm looking to get into application development, such as Facebook or Android apps and games. I am doing this for fun and to learn. Once my skills are to par I would like to have some side income from the apps, but I'm not banking on living off that (just so you know where I'm coming from and know what my end goals are). Currently I know and am familiar with PHP and frameworks such as cakephp and yii. However, I have been wanting to learn another language to broaden my horizons and to become a better developer. So I have narrowed it down to 2 languages. Python, and Java (I can already hear people cringing at the difference in the languages I have chosen, but I have some reasons). Python: closer to PHP that Java. Cross platformability. Also great as a general scripting language and has many file system level benefits that PHP does not. Cleaner syntax, readability, blah blah and the list goed on. Python will work great for cross platform apps and can be run on many OS's and is supported by Facebook for app development. But there is no support on Android (for full fledged apps). Java: a much stronger typed language, very robust community and corporate backing. Knowing Java is also good for personal marketability for enterprises, if you're into that. The main benefit here is that Java can write apps natively for Android and the apps can be ported for web versions to play on Facebook. So while I have seen many developers prefer Java over the two, Java has this significant advantage, where I can market my apps in both markets and in the future build more potential income. But like I said it is for fun. While money isn't the goal, it would still be nice. PHP: I'm putting this here because I know it already, and I'm sure a case could be made for it. It obviously works great for Facebook but like Python does not do so well on android. While it's mostly the realm of 'application development' that appeals to me, I do find Android apps fairly interesting and something that has a ton of potential to. But then again Facebook has a ton more users and the apps can also potentially be more immersive (desktop vs. mobile). So this is why I'm kinda stuck on what route to choose. Python for Facebook and web apps, with likely faster development to production times, or Java which can be developed for any of the platforms to make apps. Side note: I'm not really trying to get into 3D development, mostly 2D. And I also want to make an app with real-time play (websockets, etc). Someone mentioned node, js to me for that but Python seems to be more globally versatile for my goals. So, to anyone that does Facebook or Android development in either language: what do you suggest? Any input is valuable and I do appreciate it. And sorry for being long winded. EDIT: as mentioned in one of the answers, my primary goal is gaming. Although I do have some plans for non gaming apps such as general web based and desktop based ones. But gaming is my main goal with the possibility of income. EDIT: Another consideration could be Jython. Writing Python code which is converted into Java bytecode. This would allow the ability to do Android apps using Python. I could be wrong though, I'm still looking into it. Update 1-26-11: I recently acquired a new job which required I learn .NET using C#. Im sure some of you are cringing already but I really like the whole system and how it all works together between desktop and web development. But, as I am still interested in Python very much, and after some research I have decided I will learn Python as well as the IronPython implementation for .NET. But (again: I know...) since .NET is mostly a Windows thing and not as cross-compatible as I like, I will be learning Mono which is a cross platform implementation of .NET where I can use what I learn at work using C# and what I want to learn, Python/IronPython. So while learning and writing C#/.NET @ work I will be learning Python - Mono - Iron Python for what I want to do personally. And the benefit of them all being very closely related will help me out a lot, I think. What do you guys think? I almost feel like that should be another question, but there's not much of a question. Either way, you guys gave very helpful input.

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  • Creating Python C module from Fortran sources on Ubuntu 10.04 LTS

    - by Botondus
    In a project I work on we use a Python C module compiled from Fortran with f2py. I've had no issues building it on Windows 7 32bit (using mingw32) and on the servers it's built on 32bit Linux. But I've recently installed Ubuntu 10.04 LTS 64bit on my laptop that I use for development, and when I build it I get a lot of warnings (even though I've apparently installed all gcc/fortran libraries/compilers), but it does finish the build. However when I try to use the built module in the application, most of it seems to run well but then it crashes with an error: * glibc detected /home/botondus/Envs/gasit/bin/python: free(): invalid next size (fast): 0x0000000006a44760 ** Warnings on running *f2py -c -m module_name ./fortran/source.f90* customize UnixCCompiler customize UnixCCompiler using build_ext customize GnuFCompiler Could not locate executable g77 Found executable /usr/bin/f77 gnu: no Fortran 90 compiler found gnu: no Fortran 90 compiler found customize IntelFCompiler Could not locate executable ifort Could not locate executable ifc customize LaheyFCompiler Could not locate executable lf95 customize PGroupFCompiler Could not locate executable pgf90 Could not locate executable pgf77 customize AbsoftFCompiler Could not locate executable f90 absoft: no Fortran 90 compiler found absoft: no Fortran 90 compiler found absoft: no Fortran 90 compiler found absoft: no Fortran 90 compiler found absoft: no Fortran 90 compiler found absoft: no Fortran 90 compiler found customize NAGFCompiler Found executable /usr/bin/f95 customize VastFCompiler customize GnuFCompiler gnu: no Fortran 90 compiler found gnu: no Fortran 90 compiler found customize CompaqFCompiler Could not locate executable fort customize IntelItaniumFCompiler Could not locate executable efort Could not locate executable efc customize IntelEM64TFCompiler customize Gnu95FCompiler Found executable /usr/bin/gfortran customize Gnu95FCompiler customize Gnu95FCompiler using build_ext I have tried building a 32bit version by installing the gfortran multilib packages and running f2py with -m32 option (but with no success): f2py -c -m module_name ./fortran/source.f90 --f77flags="-m32" --f90flags="-m32" Any suggestions on what I could try to either build 32bit version or correctly build the 64bit version? Edit: It looks like it crashes right at the end of a subroutine. The 'write' executes fine... which is strange. write(6,*)'Eh=',Eh end subroutine calcolo_involucro The full backtrace is very long and I'm not sure if it's any help, but here it is: *** glibc detected *** /home/botondus/Envs/gasit/bin/python: free(): invalid next size (fast): 0x0000000007884690 *** ======= Backtrace: ========= /lib/libc.so.6(+0x775b6)[0x7fe24f8f05b6] /lib/libc.so.6(cfree+0x73)[0x7fe24f8f6e53] /usr/local/lib/python2.6/dist-packages/numpy/core/multiarray.so(+0x4183c)[0x7fe24a18183c] /home/botondus/Envs/gasit/bin/python[0x46a50d] /usr/local/lib/python2.6/dist-packages/numpy/core/multiarray.so(+0x4fbd8)[0x7fe24a18fbd8] /usr/local/lib/python2.6/dist-packages/numpy/core/multiarray.so(+0x5aded)[0x7fe24a19aded] /home/botondus/Envs/gasit/bin/python(PyEval_EvalFrameEx+0x516e)[0x4a7c5e] /home/botondus/Envs/gasit/bin/python(PyEval_EvalFrameEx+0x5a60)[0x4a8550] /home/botondus/Envs/gasit/bin/python(PyEval_EvalCodeEx+0x911)[0x4a9671] /home/botondus/Envs/gasit/bin/python[0x537620] /home/botondus/Envs/gasit/bin/python(PyObject_Call+0x47)[0x41f0c7] /home/botondus/Envs/gasit/bin/python[0x427dff] /home/botondus/Envs/gasit/bin/python(PyObject_Call+0x47)[0x41f0c7] /home/botondus/Envs/gasit/bin/python[0x477bff] /home/botondus/Envs/gasit/bin/python[0x46f47f] /home/botondus/Envs/gasit/bin/python(PyObject_Call+0x47)[0x41f0c7] /home/botondus/Envs/gasit/bin/python(PyEval_EvalFrameEx+0x4888)[0x4a7378] /home/botondus/Envs/gasit/bin/python(PyEval_EvalCodeEx+0x911)[0x4a9671] /home/botondus/Envs/gasit/bin/python(PyEval_EvalFrameEx+0x4d19)[0x4a7809] /home/botondus/Envs/gasit/bin/python(PyEval_EvalCodeEx+0x911)[0x4a9671] /home/botondus/Envs/gasit/bin/python(PyEval_EvalFrameEx+0x4d19)[0x4a7809] /home/botondus/Envs/gasit/bin/python(PyEval_EvalCodeEx+0x911)[0x4a9671] /home/botondus/Envs/gasit/bin/python[0x537620] /home/botondus/Envs/gasit/bin/python(PyObject_Call+0x47)[0x41f0c7] /home/botondus/Envs/gasit/bin/python(PyEval_CallObjectWithKeywords+0x43)[0x4a1b03] /usr/local/lib/python2.6/dist-packages/numpy/core/multiarray.so(+0x2ee94)[0x7fe24a16ee94] /home/botondus/Envs/gasit/bin/python(_PyObject_Str+0x61)[0x454a81] /home/botondus/Envs/gasit/bin/python(PyObject_Str+0xa)[0x454b3a] /home/botondus/Envs/gasit/bin/python[0x461ad3] /home/botondus/Envs/gasit/bin/python[0x46f3b3] /home/botondus/Envs/gasit/bin/python(PyObject_Call+0x47)[0x41f0c7] /home/botondus/Envs/gasit/bin/python(PyEval_EvalFrameEx+0x4888)[0x4a7378] /home/botondus/Envs/gasit/bin/python(PyEval_EvalCodeEx+0x911)[0x4a9671] /home/botondus/Envs/gasit/bin/python(PyEval_EvalFrameEx+0x4d19)[0x4a7809] /home/botondus/Envs/gasit/bin/python(PyEval_EvalFrameEx+0x5a60)[0x4a8550] ======= Memory map: ======== 00400000-0061c000 r-xp 00000000 08:05 399145 /home/botondus/Envs/gasit/bin/python 0081b000-0081c000 r--p 0021b000 08:05 399145 /home/botondus/Envs/gasit/bin/python 0081c000-0087e000 rw-p 0021c000 08:05 399145 /home/botondus/Envs/gasit/bin/python 0087e000-0088d000 rw-p 00000000 00:00 0 01877000-07a83000 rw-p 00000000 00:00 0 [heap] 7fe240000000-7fe240021000 rw-p 00000000 00:00 0 7fe240021000-7fe244000000 ---p 00000000 00:00 0 7fe247631000-7fe2476b1000 r-xp 00000000 08:03 140646 /usr/lib/libfreetype.so.6.3.22 7fe2476b1000-7fe2478b1000 ---p 00080000 08:03 140646 /usr/lib/libfreetype.so.6.3.22 7fe2478b1000-7fe2478b6000 r--p 00080000 08:03 140646 /usr/lib/libfreetype.so.6.3.22 7fe2478b6000-7fe2478b7000 rw-p 00085000 08:03 140646 /usr/lib/libfreetype.so.6.3.22 7fe2478b7000-7fe2478bb000 r-xp 00000000 08:03 263882 /usr/lib/python2.6/dist-packages/PIL/_imagingft.so 7fe2478bb000-7fe247aba000 ---p 00004000 08:03 263882 /usr/lib/python2.6/dist-packages/PIL/_imagingft.so 7fe247aba000-7fe247abb000 r--p 00003000 08:03 263882 /usr/lib/python2.6/dist-packages/PIL/_imagingft.so 7fe247abb000-7fe247abc000 rw-p 00004000 08:03 263882 /usr/lib/python2.6/dist-packages/PIL/_imagingft.so 7fe247abc000-7fe247abf000 r-xp 00000000 08:03 266773 /usr/lib/python2.6/lib-dynload/_bytesio.so 7fe247abf000-7fe247cbf000 ---p 00003000 08:03 266773 /usr/lib/python2.6/lib-dynload/_bytesio.so 7fe247cbf000-7fe247cc0000 r--p 00003000 08:03 266773 /usr/lib/python2.6/lib-dynload/_bytesio.so 7fe247cc0000-7fe247cc1000 rw-p 00004000 08:03 266773 /usr/lib/python2.6/lib-dynload/_bytesio.so 7fe247cc1000-7fe247cc5000 r-xp 00000000 08:03 266786 /usr/lib/python2.6/lib-dynload/_fileio.so 7fe247cc5000-7fe247ec4000 ---p 00004000 08:03 266786 /usr/lib/python2.6/lib-dynload/_fileio.so 7fe247ec4000-7fe247ec5000 r--p 00003000 08:03 266786 /usr/lib/python2.6/lib-dynload/_fileio.so 7fe247ec5000-7fe247ec6000 rw-p 00004000 08:03 266786 /usr/lib/python2.6/lib-dynload/_fileio.so 7fe247ec6000-7fe24800c000 r-xp 00000000 08:03 141358 /usr/lib/libxml2.so.2.7.6 7fe24800c000-7fe24820b000 ---p 00146000 08:03 141358 /usr/lib/libxml2.so.2.7.6 7fe24820b000-7fe248213000 r--p 00145000 08:03 141358 /usr/lib/libxml2.so.2.7.6 7fe248213000-7fe248215000 rw-p 0014d000 08:03 141358 /usr/lib/libxml2.so.2.7.6 7fe248215000-7fe248216000 rw-p 00000000 00:00 0 7fe248216000-7fe248229000 r-xp 00000000 08:03 140632 /usr/lib/libexslt.so.0.8.15 7fe248229000-7fe248428000 ---p 00013000 08:03 140632 /usr/lib/libexslt.so.0.8.15 7fe248428000-7fe248429000 r--p 00012000 08:03 140632 /usr/lib/libexslt.so.0.8.15 7fe248429000-7fe24842a000 rw-p 00013000 08:03 140632 /usr/lib/libexslt.so.0.8.15 7fe24842a000-7fe248464000 r-xp 00000000 08:03 141360 /usr/lib/libxslt.so.1.1.26 7fe248464000-7fe248663000 ---p 0003a000 08:03 141360 /usr/lib/libxslt.so.1.1.26 7fe248663000-7fe248664000 r--p 00039000 08:03 141360 /usr/lib/libxslt.so.1.1.26 7fe248664000-7fe248665000 rw-p 0003a000 08:03 141360 /usr/lib/libxslt.so.1.1.26 7fe248665000-7fe24876e000 r-xp 00000000 08:03 534240 /usr/local/lib/python2.6/dist-packages/lxml/etree.so 7fe24876e000-7fe24896d000 ---p 00109000 08:03 534240 /usr/local/lib/python2.6/dist-packages/lxml/etree.so 7fe24896d000-7fe24896e000 r--p 00108000 08:03 534240 /usr/local/lib/python2.6/dist-packages/lxml/etree.so 7fe24896e000-7fe248999000 rw-p 00109000 08:03 534240 /usr/local/lib/python2.6/dist-packages/lxml/etree.so 7fe248999000-7fe2489a7000 rw-p 00000000 00:00 0 7fe2489a7000-7fe2489bd000 r-xp 00000000 08:03 132934 /lib/libgcc_s.so.1

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  • Makefile can not find boost libraries installed by macports

    - by user327502
    I just installed boost 1.42.0 from macports using sudo port install boost. Everything worked fine. Now I have a project that I'm trying to build using a makefile. Everything builds fine until it comes to the file that needs the boost library. It says: src/graph.h:20:42: error: boost/graph/adjacency_list.hpp: No such file or directory That file is actually located in two places: /opt/local/include/boost/graph/adjacency_list.hpp and /opt/local/var/macports/software/boost/1.42.0_0/opt/local/include/boost/graph/adjacency_list.hpp In the file src/graph.h where it's looking for boost/graph/adjacency_list.hpp, the include statement is here: #include<boost/graph/adjacency_list.hpp> How do I make this work?

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  • Python productivity VS Java Productivity

    - by toc777
    Over on SO I came across a question regarding which platform, Java or Python is best for developing on Google AppEngine. Many people were boasting of the increased productivity gained from using Python over Java. One thing I would say about the Python vs Java productivity argument, is Java has excellent IDE's to speed up development where as Python is really lacking in this area because of its dynamic nature. So even though I prefer to use Python as a language, I don't believe it gives quite the productivity boost compared to Java especially when using a new framework. Obviously if it were Java vs Python and the only editor you could use was VIM then Python would give you a huge productivity boost but when IDE's are brought into the equation its not as clear cut. I think Java's merits are often solely evaluated on a language level and often on out dated assumptions but Java has many benefits external to the language itself, e.g the JVM (often criticized but offers huge potential), excellent IDE's and tools, huge numbers of third party libraries, platforms etc.. Question, Does Python/related dynamic languages really give the huge productivity boosts often talked about? (with consideration given to using new frameworks and working with medium to large applications).

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  • Python productivity VS Java Productivity

    - by toc777
    Over on SO I came across a question regarding which platform, Java or Python is best for developing on Google AppEngine. Many people were boasting of the increased productivity gained from using Python over Java. One thing I would say about the Python vs Java productivity argument, is Java has excellent IDE's to speed up development where as Python is really lacking in this area because of its dynamic nature. So even though I prefer to use Python as a language, I don't believe it gives quite the productivity boost compared to Java especially when using a new framework. Obviously if it were Java vs Python and the only editor you could use was VIM then Python would give you a huge productivity boost but when IDE's are brought into the equation its not as clear cut. I think Java's merits are often solely evaluated on a language level and often on out dated assumptions but Java has many benefits external to the language itself, e.g the JVM (often criticized but offers huge potential), excellent IDE's and tools, huge numbers of third party libraries, platforms etc.. Question, Does Python/related dynamic languages really give the huge productivity boosts often talked about? (with consideration given to using new frameworks and working with medium to large applications).

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  • How to kill unkillable Python-processes running as root

    - by Andrei
    I am experiencing an annoying problem with sshuttle running it on 10.7.3, MBA with the latest firmware update -- after I stop it (ctrl+c twice), or loose connection, or close the lid, I cannot restore it until I restart the system. The restarting takes notably more time, than it would normally take. I have tried to flush ipfw rules - not helping. Could you advice me how to restore sshuttle connection (without restarting os)? The following processes remain running as root, which I do not know how to kill (tried sudo kill -9 <pid> with no luck): root 14464 python ./main.py python -v -v --firewall 12296 12296 root 14396 python ./main.py python -v -v --firewall 12297 12297 root 14306 python ./main.py python -v -v --firewall 12298 12298 root 3678 python ./main.py python -v -v --firewall 12299 12299 root 2263 python ./main.py python -v -v --firewall 12300 12300 The command I use to run proxy: ./sshuttle --dns -r [email protected] 10.0.0.0/8 -vv The last message I get trying to restore the connection: ... firewall manager: starting transproxy. s: Ready: 1 r=[4] w=[] x=[] s: < channel=0 cmd=PING len=7 s: > channel=0 cmd=PONG len=7 (fullness=554) s: mux wrote: 15/15 s: Waiting: 1 r=[4] w=[] x=[] (fullness=561/0) >> ipfw -q add 12300 check-state ip from any to any >> ipfw -q add 12300 skipto 12301 tcp from any to 127.0.0.0/8 >> ipfw -q add 12300 fwd 127.0.0.1,12300 tcp from any to 10.0.0.0/8 not ipttl 42 keep-state setup >> ipfw -q add 12300 divert 12300 udp from any to 10.0.1.1/32 53 not ipttl 42 >> ipfw -q add 12300 divert 12300 udp from any 12300 to any not ipttl 42 Update: $ ps -ax|grep python 1611 ?? 0:06.49 python ./main.py python -v -v --firewall 12300 12300 48844 ?? 0:00.05 python ./main.py python -v -v --firewall 12299 12299 49538 ttys000 0:00.00 grep python

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  • Embed python interpreter in a python application

    - by MatToufoutu
    Hi, i'm looking for a way to ship the python interpreter with my application (also written in python), so that it doesn't need to have python installed on the machine. I searched google and found a bunch of results about how to embed the python interpreter in applications written in various languages, but nothing for applications writtent in python itself... I don't need to "hide" my code or make a binary like cx_freeze does, i just don't want my users to have to install python to use my app, that's all. Thanks.

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