Mailman 3 May 2009 - capi-sig

ANNOUNCE: PyBindGen 0.8
by Gustavo Carneiro 11 Mar '22

11 Mar '22

The other day I released PyBindGen 0.8. Main news is that it features a new experimental header file scanner based on pygccxml (i.e., it's similar to py++ in scope, if not in maturity, but does not use boost.pythonunderneath). == What == PyBindGen is a Python module that is geared to generating C/C++ code that binds a C/C++ library for Python. It does so without extensive use of either C++ templates or C pre-processor macros. It has modular handling of C/C++ types, and can be easily extended with Python plugins. The generated code is almost as clean as what a human programmer would write, and does not depend on any library or header files besides Python itself. == Where == https://launchpad.net/pybindgen/ == NEWS == - Support C++ instance attributes through getter/setter methods - Support functions as methods of C++ classes - Support the PyObject* type - Support unsigned int, C strings (char*) (from Mark Lee) - Add basic support for enum types - New experimental automatic module generator based on C/C++ header file scanner and annotations in comments, using pygccxml - Some bug fixes -- Gustavo J. A. M. Carneiro INESC Porto, Telecommunications and Multimedia Unit "The universe is always one step beyond logic." -- Frank Herbert

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C API equivalent to abc.ABCMeta.register?
by Daniel Stutzbach 02 Mar '22

02 Mar '22

I'm the author of an extension module (blist) that provides a type that fits the MutableSequence API. Is there a canonical way for me to register the type as a MutableSequence from the C API? -- Daniel Stutzbach, Ph.D. President, Stutzbach Enterprises, LLC <http://stutzbachenterprises.com>

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Garbage output from warnings with embedded python
by Campbell Barton 29 May '09

29 May '09

Recently I wanted to deprecate some functions in our the C api, and found that warnings give weired output when running through through our C api. A simple test is to do this... print range(1.5) When I run this from python I get good output.. test.py:1: DeprecationWarning: integer argument expected, got float print range(1.5) But when running from our C api I get /home/ideasman42/blender-svn/blender/blender.bin:1: DeprecationWarning: integer argument expected, got float ELF�p40�"4()&44�4�44�4��F��F��F�K �K ğ<@G�K �K xxHH�H� P�td�2?��C ��C L,L,Q�td/lib/ld-linux.so.2GNU��8�1LQ �U�N�.yH {��d I thought this was todo with running a compiled string so I tried PyRun_String() on the text buffer instead of PyEval_EvalCode() but the same problem. Id be interested to know if anyones embedded python gives proper warnings. On Linux testing with python 2.6 here. -- - Campbell

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Invitation to connect on LinkedIn
by swapnil talekar 24 May '09

24 May '09

LinkedIn ------------ I'd like to add you to my professional network on LinkedIn. - swapnil Learn more: https://www.linkedin.com/e/isd/594582295/TffXp9WB/ ------------------------------------------ What is LinkedIn and why should you join? http://learn.linkedin.com/what-is-linkedin ------ (c) 2009, LinkedIn Corporation

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Syntax for parsing tuples into C arrays
by Yingjie Lan 16 May '09

16 May '09

Parsing tuples into C arrays is quite painful with current C API. Below is is an example when you don't know the tuple size before hand: .... //ref: http://docs.python.org/c-api/arg.html PyObject* pyObj; if(!PyArg_ParseTuple(args,"O",&pyObj) || !pyTuple_Check(pyObj)) return NULL; tupleSize = PyTuple_Size(pyObj); array = (double*) malloc(sizeof(double)*tupleSize); for(i=0; i < tupleSize; i++ ) { tupleItem = PyTuple_GetItem(pyObj, i); if( PyFloat_Check(tupleItem) ) { array[i] = PyFloat_AsDouble(tupleItem); }else{ printf("Error: tuple contains a non-float value"); exit(1); } } .... I'd like to propose a syntax to facilitate that kind of tasks. There is already syntax for parsing strings: { const char * s; int i; PyArg_ParseTyple(args, "s#", &s, &i); } Consider the string as a sequence of char's. Then note that in python, a tuple of int's, is also a sequence of int's. This perspective provides a natural way to extend the the use of "#" symbol. First, to denote a tuple as a sequence of a given type of objects, let's use "(<type>:)". For example, to denote a tuple as a sequence of integers: "(i:)". The ":" is chosen to denote possible repetition of the whole pattern inside the parentheses. As for why choose ":", here is a bad story, but a good example: Once upone a time there was a temple on a hill, and there lived an old and a young monk. One day the old monk told the the young a story: Once upone a time there was a temple on a hill, and there lived an old and a young monk. One day the old monk told the the young a story: ... OK, enough...but you got the idea :) Now consider 3 different scenarios of parsing tuples into arrays. (1) Unkown size. Here are some examples: { //parsing a tuple and its size int i, *t; PyArg_ParseTuple(args, "(i:)#", &t, &i); } { //parsing a matrix int i,j,**t; PyArg_ParseTuple(args, "((i:):)##", &t, &i, &j); for(a=0; a<i; a++){ for(b=0; b<j; b++) printf("%d, ", t[a][b]); printf("\n"); } } Here is an informal explanation of "((i:):)##": the '#' can be seen as a peeling operator, which peels away the outer most ':'-parentheses pair "(.:)" that denote a "free sequence" (i.e. sequence of unknown size) with some pattern ".". For types like 's' or its similar types, pretend as if there is an invisible pair of parentheses around it. For example, "(s:)##" matches a tuple of strings of some fixed length. Here the first '#' peels away the parentheses, leaving only "s#", which is equivalent to "(<char>:)#" in concept, where "<char>" denote the character type. As the second '#' is outside the tuple, it is shared by all strings inside, so they must have the same length. If there is nothing to peel for a '#', it is considered a dangling '#', an error. Now consider some more interesting examples: { int i, *t, *v; PyArg_ParseTuple(args, "(ii:)#", &t, &v, &i); //args=(1,2,3,4,5,6) //t={1,3,5} //v={2,4,6} //i=3 } In that example, a pattern is provided inside the sequence "(ii:)", which can repeat itself multiple times. The repeated times is extracted by the '#' symbol. Below is another example: { int i,j, *t, **v; PyArg_ParseTuple(args, "(i(i:):)##", &t, &v, &i, &j); //args=(1,(3,),5,(7,)) //t={1,5} //v={{3},{7}} //i=2, j=1 } And another one: { int i,j, **t, **v; PyArg_ParseTuple(args, "((i:)(i:):)##", &t, &v, &i, &j); //args=((1,),(3,),(5,),(7,)) //t={{1},{5}} //v={{3},{7}} //i=2, j=1 } Note the second '#' is applied to both the free sequences inside the outer tuple. This indicates that all the inside tuples must be of the same length. What if they have their own common lengths? We provide a separate matching '#' for each inside tuple: { int i,j,k, **t, **v; PyArg_ParseTuple(args, "((i:)(i:):)#(##)", &t, &v, &i, &j,&k); //args=((1,),(3,4),(5,),(7,8)) //t={{1},{5}} //v={{3,4},{7,8}} //i=2, j=1, k=2 } The syntax can also deal with more complicated situations, such as an irregular 2-dimensional array, where each row has a different row length: { int i, *j, **t; PyArg_ParseTuple(args, "((i:)#:)#", &t, &j, &i); for(a=0; a<i; a++){ for(b=0; b<j[i]; b++) printf("%d, ", t[a][b]); printf("\n"); } //args=((1,2), (1,2,3)) //t={{1,2},{1,2,3}} //i=2, j={2,3} } Here is a mixed example: three dimensional array 't' has fixed length on the third dimention 'k', but has variable length on the second dimension 'j': { int i, *j, k, ***t; PyArg_ParseTuple(args, "(((i:):)#:)##", &t, &j, &i, &k); //args=(((1,2),(1,2)),((1,2),)) //t={{{1,2},{1,2}},{{1,2}}} //i=2, k=2 //j={2,1} } This syntax can be used for parsing a tuple of strings: { int i, *j; const char ** s; PyArg_ParseTuple(args, "(s#:)#", &s, &j, &i); //args=("ab", "cde") //s={"ab", "cde"} //j={2, 3} //i=2 } (2) If you know the size of a tuple before hand, use this syntax: "(<type>integer)", meaning there are exactly 'integer' number of <type> objects in the tuple. { int *t; // PyArg_ParseTuple(args, "(i5)", &t); //args = (1,2,3,4,5) //t = {1,2,3,4,5} } A complicated case: { int **t; PyArg_ParseTuple(args, "((i5)2)", &t); //args=((1,2,3,4,5),(5,6,7,8,9)) //t={{1,2,3,4,5},{5,6,7,8,9}} } Another complicated case: { int **t, **v, i; PyArg_ParseTuple(args, "(i3i2:)#", &t,&v,&i); //args=(1,2,3,4,5,6,7,8,9,10) //t={{1,2,3},{6,7,8}} //v={{4,5},{9,10}} //i=2 } One more thing: the difference between "(ii)" and "(i2)" is that the former yields two single integers, while the latter gives an array of length two. (3) Concatenating arrays while parsing. Sometimes you would like to have a matrix parsed into a single array. Let's use a "(+" to start a tuple, such that the arrays parsed from the elements in that tuple should be concatenated into a single array. { int i,j, *t; PyArg_ParseTuple(args, "(+(i))##", &t, &i, &j); //args=((1,2,3),(4,5,6)) //t={1,2,3,4,5,6} //i=2, j=3 } Another example: { int i, *t; PyArg_ParseTuple(args, "(+(i2))#", &t, &i); } Still another example, with strings: { int i, *j; const char * t; //string PyArg_ParseTuple(args, "(+(+s#2))#", &t, &j, &i); //args=(("ab","c"),("d","efg")) //t="abcdefg" //i=2 ////notice the size arrays are contatenated similarly //j={2,1,1,3} const char ** sa; PyArg_ParseTuple(args, "(+(s2))", &sa); //sa = {"ab","c","d","efg"} PyArg_ParseTuple(args, "((+s2))", &sa); //sa = { "abc", "defg" } } And finally, an example with multi-item pattern: { int *t, *v, i; PyArg_ParseTuple(args, "(+i1i2:)#", &t, &v, &i); //args=(1,2,3,4,5,6) //t={1,4} //v={2,3,5,6} //i=2 } Epilogue: This syntax can be applied to lists: just use "[.:]" instead of "(.:)". It can also be used for building tuples or lists out of arrays. That's it. Comments? -Yingjie

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An unexpected visit_decref assertion violation (code works with 2.4, not with 2.5)
by Joe Ardent 01 May '09

01 May '09

Hello, I have a Python module here that takes a bunch of C++ classes, and turns them into Python classes. When built against and loaded into Python 2.4, everything is fine. But when built against and loaded into Python 2.5, I get an assert violation from Python's gc module. Here is the code that is failing: klass = PyClass_New(bases, classDict, className); if (klass && methods) { /* add methods to class */ for (def = methods; def->ml_name != NULL; def++) { printf( "IlmPyClass: %d, def = %s\n", __LINE__, def->ml_name); PyObject *func = IlmPyClass_NewFunction(def); if (!func) { Py_XDECREF(klass); return NULL; } printf( "We get here\n" ); func = PyMethod_New(func, NULL, klass); //this line fails printf( "We don't get here\n" ); # ....... } } The output of 'python2.5 -c "import mymod"' is: """ [.... snip a bunch of "we get here, we don't get here" etc. as things fail to fail...] IlmPyClass: 197, def = __init__ We get here python2: Modules/gcmodule.c:276: visit_decref: Assertion `gc->gc.gc_refs != 0' failed. Abort """ The obvious things, such as Py_INCREFing klass or func, do not work. What's extra strange, in addition to this code working fine in an earlier python version, is that this code works fine for most of the classes that are instantiated. What I really want to do, though, is see what exactly is being decref'd. Does anyone have any tips for doing this? I've already tried using a debug build of Python; it doesn't seem to provide that type of ref tracing. Thanks in advance for any tips or insights. -- Joe Ardent

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capi-sig May 2009